Background
Dyspnea and exercise intolerance are the primary clinical symptoms of heart 62
failure. Heart failure patients experience frequent hypoxemic episodes, yet underlying 63
mechanisms and relevance remain poorly understood. In a cohort of heart failure patients and 64
multiple animal models, we identify pulmonary capillary rarefaction driven by excessive 65
autophagy in endothelial cells as a novel mechanism of hypoxemia and cardiac disease 66
progression. 67
Methods
A cohort of heart failure with preserved ejection fraction ( HFpEF) patients was 68
analyzed for parameters of left ventricular (LV) dysfunction and pulmonary gas exchange. 69
Morphological and cellular mechanisms of impaired pulmonary oxygenation were assessed in 70
three animal models of heart failure, namely two HFpEF mod els, SU5416 -treated ZSF1 71
obese rats and high fat diet /L-NAME treated mice, and in rats subjected to aortic banding. 72
Lung microvascular rarefaction was quantified by micro -computed tomography, stereology, 73
flow cytometry and dye efflux. Cellular mechanisms o f capillary loss were analyzed by 74
single-cell transcriptomics, electron microscopy and immunofluorescence, and in mice with 75
endothelial-specific deletion of the autophagy gene Atg7 (Atg7EN-KO). 76
Results
In 234 HFpEF patients, advancing NYHA class was associated with progressive 77
worsening of arterial oxygen saturation at rest and during exercise and a reduced lung 78
diffusing capacity. Impaired gas diffusion correlated with indices of LV diastolic dysfunction. 79
Impaired oxygenation and reduced exercise capacity were similarly evident in animal models 80
of left heart disease, which showed a distinct loss of pulmonary microvessels and capillaries. 81
Lung microvascular endothelial cells in HFpEF showed characteristics of increas ed 82
autophagic flux and apoptosis. Relative to their wild type HFpEF controls, Atg7EN-KO mice 83
had less capillary loss, restored normoxemia, improved exercise tolerance, and mitigated LV 84
diastolic dysfunction. Additional studies in HFpEF mice corroborated th e functional 85
relevance of impaired gas exchange for the progression of left heart disease by demonstrating 86
that additional hypoxia aggravated, whereas moderate hyperoxia improved LV function. 87
Conclusion
Our findings identify pulmonary microvascular rarefa ction as a novel 88
pathomechanism in heart failure that i) contributes to dyspnea and exercise intolerance, ii) 89
impairs pulmonary gas exchange and iii) accelerates LV disease progression. Strategies 90
targeting this axis such as moderate oxygen therapy may mitigate cardiopulmonary morbidity 91
in heart failure. 92
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Clinical Trial Registration: Registered in the DRKS (Deutsche s Register für klinische 93
Studien) as trial# DRKS00032974 at https://drks.de/search/en/trial/DRKS00032974. 94
Key words: heart failure, HFpEF, gas exchange, capillary rarefaction, autophagy, apoptosis, 95
hypoxia, hyperoxia 96
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Introduction
120
Heart failure with preserved ejection fraction (HFpEF), defined by a preserved left 121
ventricular (LV) ejection fraction (LVEF) ≥ 50%, accounts for >50% of all heart failure cases 122
globally1. It is characterized by diastolic LV dysfunction, increased LV myocardial stiffness 123
and abnormal ventricular-vascular coupling. HFpEF is commonly associated with and driven 124
by characteristic comorbidities including hypertension, metabolic syndrome (obesity, diabetes 125
mellitus, dyslipidemia ), chronic kidney disease as well as aging 2. In spite of the recent 126
Introduction
of SGLT2 inhibitors as the first approved clinical therapy for HFpEF 127
(EMPEROR-preserved trial, DELIVER trial), morbidity and mortality remain high , stressing 128
a major unmet clinical need3,4. 129
Besides fatigue and impaired exercise capacity, dyspnea on exertion or even at rest is the 130
cardinal clinical symptom in HFpEF patients. Limitations in exercise capacity can be 131
evidently attributed to a reduced ability to increase cardiac output in HFpEF patients , which 132
is often normal at rest 5. Yet, dyspnea is not a direct consequence of a reduced cardiac reserve 133
but rather a sign of impaired arterial blood oxygenation and/or impaired lung inflation as 134
measured by arterial chemosensors and pulmonary stretch sensors, respectively. Indeed, 135
several clinical studies show evidence of systemic hypoxemia in HFpEF patients. 136
Specifically, oxygen desaturations with SaO2 values <90% are 3 times more frequent and last 137
5-6 times longer in HFpEF patients as compared to healthy controls 6. In a study of 539 138
HFpEF patients undergoing invasive cardiopulmonary exercise testing, exertional hypoxemia 139
with SaO 2 <94% was observed in 25% of patients, and particularly prominent in older and 140
more obese patients 7. Further r egression analyses revealed a direct relationship between 141
increased pulmonary capillary pressure and lower arterial oxygen tension, especially during 142
exercise7. Importantly, impaired arterial oxygenation cannot be attributed to LV-failure 143
associated hemodynamic changes per se, as reduced cardiac output and the resulting lower 144
blood flow velocity across the pulmonary microvasculature will improve , rather than impair, 145
oxygen uptake, while pulmonary congestion increase s vascular surface area and thereby 146
facilitates enhanced diffusion. Rather, systemic hypoxemia likely reflects impaired oxygen 147
uptake in the lung. Consistent with this view, clinical st udies show a marked increase in the 148
alveolar-arterial oxygen difference in patients with HFpEF 7 or acute heart failure 8, 149
respectively. Similarly, the lung´s diffusing capacity for carbon monoxide (DLCO) is 150
characteristically reduced in HFpEF patients 9,10 suggesting impaired alveolo -capillary gas 151
exchange. Clinical HFpEF is frequently associated with extensive vascular remodeling in 152
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both pulmonary arteries and veins 11,12, yet, HFpEF -associated structural changes at the level 153
of the alveolo -capillary interface as the primary functional unit of pulmonary gas exchange 154
remain largely unclear. In the present study, we hypothesized that HFpEF is not only 155
associated with pulmonary arterial and venous remodeling, but also with extensive structural 156
remodeling of pulmonary microvessels resulting in reduced alveolo -capillary gas exchange. 157
The ensuing hypoxemia will in turn aggravate right ventricular (RV) and LV dysfunction, 158
thereby propagating HFpEF deterioration in a positive feedback loop. 159
160
Methods
161
Patient data 162
234 patients with HFpEF were prospectively recruited into the clinical cohort of the 163
Collaborative Research Center 1470 (CRC1470), a single-center consortium supported by the 164
German Research Foundation (DFG, Deutsche Forschungsgemeinschaft). The study 165
complied with the Declaration of Helsinki and was approved by the Ethics Committee of 166
Charité – Universitätsmedizin Berlin (Berlin, Germany; approval number EA1/224/21). All 167
participants were older than 18 years and provided written informed consent. A positiv e 168
diagnosis of HFpEF according to the current American College of Cardiology (ACC) criteria 169
was required for inclusion in the cohort, and defined as follows: (i) symptoms and/or signs of 170
heart failure corresponding to at least New York Heart Association (N YHA) class II prior to 171
medication; (ii) a left ventricular ejection fraction (LVEF) exceeding 50%; (iii) objective 172
evidence of cardiac structural and/or functional abnormalities indicative of diastolic 173
dysfunction or increased left ventricular filling pres sures. Structural abnormalities were 174
defined as a left ventricular mass index (LVMI) > 95 g/m² in females or > 115 g/m² in males, 175
a relative wall thickness (RWT) > 0.42, or a left atrial volume index (LAVI) > 34 mL/m². 176
Functional abnormalities included an E/e′ ratio at rest > 13 or a pulmonary artery systolic 177
pressure (PASP) > 35 mmHg. Inclusion further required plasma levels of N-terminal pro–B-178
type natriuretic peptide (NT -proBNP) > 125 pg/mL. Exclusion criteria included a life 179
expectancy of less than one year, a history of heart failure with mid -range or reduced ejection 180
fraction, acute coronary syndrome within the preceding 30 days, cardiac surgery within the 181
past three months, or end -stage re nal disease with or without hemodialysis. Further 182
exclusions comprised severe valvular heart disease, hypertrophic cardiomyopathy, 183
amyloidosis, congenital heart disease, sarcoidosis, and constrictive pericarditis. Patients with 184
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extracardiac disorders that could account for their symptoms, such as chronic obstructive 185
pulmonary disease (COPD) GOLD stage > 2, pulmonary arterial hypertension, or moderate 186
to severe anemia (hemoglobin < 10 g/dL in males and < 9.5 g/dL in females), were also 187
excluded. All particip ants underwent a comprehensive clinical assessment, including two -188
dimensional echocardiography (2DE) of both ventricles, spiroergometry, diffusion single 189
breath analysis, and standard blood work. 190
Animals 191
All animal experiments were performed in compliance with the Directive 2010/63/EU of the 192
European Parliament, the German Animal Welfare Act, and the Guide for the Care and Use of 193
Laboratory Animals (NIH Publication No. 85 -23, revised 1985). Experimental procedures 194
were approved by the local regulatory autho rity (Landesamt für Gesundheit und Soziales, 195
Berlin, Germany; protocol numbers G0008/22, G0025/24, G0030/18 and G0085/23) and 196
adhered to the Animal Research: Reporting of In Vivo Experiments (ARRIVE) guidelines. 197
All animals were housed for at least 1 week to acclimatize to laboratory conditions before 198
starting experimental procedures. Two to four animal s were housed per cage, divided by sex 199
and treatment. Animals were kept in a 12-h:12-h light/dark cycle with free access to food and 200
water in individually v entilated cages and pathogen -free rooms. All animals underwent 201
weekly body weight and daily health monitoring. 202
C57BL/6J mice and Sprague-Dawley rats were purchased from Janvier -Labs. ZSF1 rats were 203
purchased from Charles River Laboratories. Mice with an endothelial cell (EC) -specific 204
deletion of the essential autophagy gene Atg7 were generated by crossing Atg7flox/- mice with 205
mice constitutively expressing Cre recombinase under control of the VE -cadherin promoter 206
(Cdh5-Cretg/+). Atg7flox/flox; Cdh5-Cretg/+ mice were used as EC -specific Atg7 knockout mice 207
(Atg7EN-KO), with Atg7flox/flox; Cdh5-Cre+/+ (Atg7EN-WT) mice serving as corresponding 208
controls. Ear biopsies were collected for genotyping by PCR. Animals were randomly 209
assigned to either control, heart failure, or intervention groups specified below. 210
Murine HFpEF model. Eight week-old C57BL/6J mice of both sexes were divided into four 211
experimental groups: i) naive mice receiving standard diet (chow, 9% fat, Ssniff 212
Spezialdiäten GmbH, Soest, Germany) and regular drinking water serving as controls, ii) 213
mice receiving a rodent diet with 60% fat (high -fat diet - HFD, Ssniff Spezialdiäten GmbH, 214
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Soest, Germany) and N[ ω]-nitro-l-arginine methyl ester (L -NAME, 0.5 g/L, N5751 -10G, 215
Sigma-Aldrich) for t welve weeks to induce HFpEF 13, iii) mice receiving HFD, L -NAME 216
diluted in drinking water and additional exposure to chronic hypoxia (10% O2) for two weeks 217
from week 10 to assess the effects of hypoxemia on LV function, iv) mice receiving HFD, L-218
NAME diluted in drinking water and additional exposure to moderate hyperoxia (40% O 2) 219
for two weeks from week 10 to restore normoxemia in HFpEF mice and assess effects on RV 220
and LV function. All groups were age- and sex-matched and run in parallel. 221
Rat HFpEF model. To induce HFpEF in rats, male obese ZSF1 rats (8 - to 10-weeks of age) 222
received a single 100 mg/kg subcutaneous injection of the vascular endothelial growth factor 223
receptor-2 antagonist Sugen (Semaxinib, SU5416, MedChemExpress, HY-10374, Monmouth 224
Junction, NJ) dissolved in CMC buffer (0.5% sodium carboxymethyl cellulose, 0.4% 225
polysorbate 80, 0.9% sodium chloride, and 0.9% benzyl alcohol) as described 14. Lean ZSF-1 226
rats served as controls. Endpoint analyses were performed after 14 weeks. 227
Rat heart failure mod el. As additional model, we induced left h eart failure in 4 - to 8-weeks 228
old male Sprague–Dawley (SD) rats ( ∼100 g body weight) by aortic banding (AoB) surgery 229
under ketamine/xylazine (87/13 mg/kg body weight) anesthesia as previously described 15,16. 230
In brief, a metal clip with an open inner diameter of 0.8 mm was surgically implanted across 231
the aorta just after the coronary arteries branch off. Sham animals were subjected to the same 232
surgical procedure without clip placement. Endpoint examinations were p erformed at weeks 233
3 and 9 after surgery. Researchers performing endpoint and post -mortem analyses were 234
blinded for groups and treatment. 235
Treadmill exercise 236
Mice were initially acclimatized to a treadmill (CaloTreadmill, TSE Systems, Germany) by 237
running uphill (20°) at a constant speed (5 m/min) for 5 min for 3 consecutive days. After 238
acclimatization, an exhaustion test was performed by running uphill (20°) on the treadmill at 239
warm-up speed (5 m/min) for 4 min and then increasing the speed to 14 m/min for 2 min. 240
Every 2 min thereafter, the speed was increased by 2 m/min until the animal was exhausted. 241
Exhaustion was defined by two separate criteria: (i) the animal was exposed to the shock grid 242
at the back of the treadmill for ≥10 seconds or (ii) the animal sp ent less than 2 s on the 243
treadmill before contacting the shock grid again (i.e. lack of motivation). Running distance 244
and the maximum rate of oxygen consumption (V̇ O2 max) were assessed using PhenoMaster 245
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software V7.1.6 (TSE Systems, Germany). Arterial oxygen saturation (SaO ₂) was measured 246
non-invasively immediately before and after the exercise protocol using a MouseOx Plus 247
collar sensor system (STARR Life Sciences, Oakmont, PA, USA). 248
Echocardiography 249
Progressive cardiac dysfunction was monitored by non -invasive small animal 250
echocardiography according to the standards defined by the American Society of 251
Echocardiography (ASE). To this end, animals were anesthetized with 1 -2% (mice) / 1.5 -3% 252
(rats) isoflurane inhalation anesthesia. Eye ointment was applied to protect the animals´ eyes 253
from dryi ng. Echocardiographic imaging was performed using ultrahigh frequency linear 254
array transducers (MX400, 20 –46 MHz for mice; MX250, 15–30 MHz for rats ) on a Vevo® 255
3100 high-resolution imaging system (FUJIFILM VisualSonics Inc., Toronto, ONT, Canada). 256
In brief, animals were fixed in supine position on a heated table and the thorax was depilated 257
(Veet depilatory cream and – for rats – shaving). The heart was visualized parasternally in the 258
short axis, the long axis and in apical four-chamber view. In addition, measurements were 259
taken in brightness (B)- and motion (M)-Mode (short axis and long axis) to calculate the LV 260
and RV chamber dimensions at the level of the papillary muscles. Doppler imaging was 261
recorded for the LV and the pulmonary artery, and speckle tra cking echocardiography was 262
performed for LV strain analyses. All images were stored as raw data in DICOM format for 263
offline analysis. 264
Image analysis was performed using the VevoLAB Version 5.7.1 (FUJIFILM VisualSonics). 265
Ejection fraction, stroke volume, en d-diastolic volume, and heart rate were determined from 266
B-mode images of the LV in the parasternal long -axis view using the LV Trace tool. End -267
diastolic diameter was obtained from M -mode images in the same view with the semi -268
automatic LV Trace function. Two -dimensional speckle -tracking echocardiography for 269
assessing global longitudina l peak strain (GLS) was carried out using VevoStrain 2.0 270
software (FUJIFILM VisualSonics) and a speckle -tracking algorithm. Semi-automated 271
endocardial border tracing was carried out on three consecutive cardiac cycles per animal, 272
selected from a B -mode cine loop obtained in the parasternal long -axis view at end -systole. 273
B-mode images were chosen based on frame rates above 200 fps and clear visualization of 274
endocardial and epicardial LV borders. Peak GLS values were derived from six independent 275
anatomical LV segments. 276
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277
Invasive hemodynamics 278
Mice were anesthetized by intraperitoneal (i.p.) injection of ketamine (120 mg/kg body 279
weight) and xylazine (16 mg/kg body weight), and neck and chest were depilated as 280
described above. Mice were then placed on a specially prepared, sterile operating table 281
equipped with a heating mat. After checking the interdigital reflex to ensure a sufficient depth 282
of anesthesia, the jugular vein and the carotid artery were sequentially catheterized with a 1F 283
microtip Millar catheter and the catheter was advanced into the RV and LV for measurement 284
of RV systolic pressure (RVSP) and LV systolic pressure (LVSP), respectively. 285
Rats were anaesthetized by i.p. ketamine (87 mg/kg body weight) a nd xylazine (13 mg/kg 286
body weight), neck and chest were depilated as described above, and animals were placed on 287
a sterile operating table as reported for mice. After ensuring sufficient depth of anesthesia by 288
checking the inter-phalangeal reflex, rats were tracheotomized and mechanically ventilated as 289
follows: The trachea was visualized with a cervical midline incision and cannulated. Lungs 290
were perioperatively ventilated at a breathing rate of 90 breaths/min and a tidal volume of 8.5 291
mL/kg body weight. Fo llowing thoracotomy by vertical sternotomy, cardiac catheterization 292
was performed directly through the apex of the heart, and LVSP and RVSP were recorded via 293
a Millar catheter positioned in the left and right ventricle, respectively. Stable pressure 294
profiles were recorded for at least 2 min by PowerLab 4/35 connected to LabChart v. 8 295
software (ADInstruments, Sydney, Australia) and analyzed off -line by an independent 296
observer blinded to the respective protocol. LVSP and RVSP were calculated as the mean 297
systolic pressure measured over 10 s in hemodynamically stable recordings. Arterial and 298
venous blood samples were obtained for blood gas analyses. Animals were then euthanized 299
under deep anesthesia by exsanguination, and blood and tissue samples were collected. 300
Gravimetry 301
Following euthanasia, the heart was excised after perfusion through the left ventricle with 10 302
mL ice-cold 1X PBS, the ventricles were separated from the atria and dissected into RV and 303
LV including septum (LV+S). RV and (LV+S) weight were determined by gravimetry and 304
normalized to body weight (for rats) and tibia length (for mice), respectively. 305
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306
Flow cytometry 307
Lung tissue was subjected to enzymatic digestion using collagenase I (450 U/mL), 308
collagenase XI (60 U/mL), DNAse I and hyaluronidase (60 U/mL) (Sigma -Aldrich) buffered 309
in HEPES buffer (Corning) an d 1x PBS for 30 min at 37°C and 700 rpm . Cells were filtered 310
through a 40-µm nylon mesh for mouse lungs and a 70-µm nylon mesh for rat lungs, washed, 311
and centrifuged (5 min, 350xg, 4°C) to obtain single -cell suspensions. Red blood cells were 312
lysed with 1x red blood cell lysis buffer (BioLegend). 313
Cell suspensions from mouse lungs were stained at 4°C for 30 min with CD45 -Brilliant 314
Violet 711 (clone 30 -F11, 1:300, 103147, BioLegend), CD31 -Alexa Fluor 700 (clone 390, 315
1:600, 102443, BioLegend) antibodies and Ale xa Fluor 647 -conjugated isolectin griffonia 316
simplicifolia IB4 (GS -IB4, 1:1000, I32450, Invitrogen) with Fc block by CD16/CD32 317
antibody (clone 2.4G2, 1:600, BD Bioscience, 553141). Viable cells were detected as 318
negative for DAPI staining (BD Bioscience, 564907). 319
Cell suspensions from rat lungs were stained at 4°C for 30 min with CD45-PerCP/Cyanine5.5 320
(clone OX-33, 1:800, 202318, BioLegend), CD31 -PE (clone TLD-3A12, 1:800, 555027, BD 321
Pharmingen) antibodies and Alexa Fluor 647 -conjugated isolectin griffonia si mplicifolia IB4 322
(GS-IB4, 1:1000, I32450, Invitrogen) with Fc block by CD32 antibody (clone D34 -485, 323
1:1000, BD Pharmingen, 550271). Viable cells were detected as negative for 7-AAD viability 324
staining (BioLegend, 420404). 325
Endothelial cells were identified a s CD45 -CD31+ cells, and lung microvascular endothelial 326
cells were subsequently gated as CD31 +GS-IB4+ cells. Autophagic flux was assessed with an 327
Autophagy detection kit (Abcam, ab139484) using monodansylcadaverine as fluorescent 328
marker for autophagic vacuo les. All flow cytometric data were recorded on a Symphony A5 329
flow cytometer with FACSDiva 8.0.1 software and analyzed with FlowJo 10.8.1 software 330
(BD Biosciences). 331
Stereology 332
Post-mortem, murine and rat lungs were perfused with fixative (1.5% glutaraldehyd e and 333
1.5% paraformaldehyde (PFA) in 0.15 Mol/L HEPES buffer; pH 7.35) at an initial inflation 334
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pressure of 25 cmH 2O and then at 20 cmH 2O during fixation. Lungs and heart were removed 335
and transferred to the same fixative solution and then further processed for stereological 336
imaging. After separation of heart and lungs, volumes of the left and right lung [V(lung)] 337
were determined separately by fluid displacement according to Archimedes’ princ iple17. The 338
lung tissue was embedded into 4% agar and then cut into slices with an isotropic uniformly 339
random (IUR) protocol using an orientator 18. Every second section was embedded in glycol 340
methacrylate (Technovit ® 7100, Kulzer GmbH) as described previou sly19. The remaining 341
tissue slices were further cut into 1 mm 3 tissue blocks and embedded in Epon resin (Roth, 342
Karlsruhe, Germany) as described before20. Tissue sections embedded in Technovit® were cut 343
into 1.5 µm thick sections, stained with toluidine blu e and imaged on a Axio Scan.Z1 slide 344
scanner (Zeiss, Göttingen, Germany). From these, the volume of the lung parenchyma was 345
assessed using the newCAST stereology software (Visiopharm, Horsholm, Denmark). An 346
Objective
lens magni fication of 20x with a test grid consisting of 3 x 3 points was used to 347
count the number of points hitting parenchyma (P Par) and nonparenchymal (PNonPar) structures 348
and to calculate the total volume of parenchyma of the lung (V(par,lung)) by multiplying PPar 349
with V(lung). 350
The total number of capillaries was quantified according to a standard protocol described by 351
Willführ and colleagues21 by estimating the Euler number of capillary networks. To this end, 352
the disector principle was applied 21 and 1 µm thick consecutive sections were cut from Epon 353
embedded tissue blocks stained with toluidine blue for parenchyma and nonparenchymal 354
structures. Sections were again digitalized with the AxioScan Z.1 slide scanner at 40 x 355
magnification. The Euler -Poincaré characteristic/Euler number of capillary networks w as 356
calculated by counting the topological constellations: new, isolated parts (islands); enclosed 357
cavities within an existing pro file (holes); and in the majority of cases in this study, extra 358
connections between two isolated structures (bridges). The first and third sections were 359
analyzed using the disector method 22, and stereological estimation was performed by 360
Visiopharm software. In brief, tissue sections were digitally aligned, and profile events were 361
estimated within an unbiased counting frame with an area of 9123.42 μm2 (A(frame)). The 362
Reference
volume for the profile estimation V(dis) was calculated from the number of 363
counting frames (P(ref)) that were assessed and the height of the disector pairs (h, 2 µm) as 364
shown below 365
[𝑉(𝑑𝑖𝑠)] = ℎ × (𝑃(𝑟𝑒𝑓)) × 𝐴(𝑓𝑟𝑎𝑚𝑒)
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From the raw counts, the Euler number of capillaries [ χ(cap)] was determined as: 366
𝜒(𝑐𝑎𝑝) = ∑(𝑖𝑠𝑙𝑎𝑛𝑑𝑠) − ∑(𝑏𝑟𝑖𝑑𝑔𝑒𝑠) + ∑(ℎ𝑜𝑙𝑒𝑠). 367
The numerical density [Nv(cap/lung)] was then calc ulated using χ(cap) as well as the total 368
number of capillaries per lung [NV(cap,lung)]: 369
𝑁V (cap,lung) =
− ∑ 𝜒(𝑐𝑎𝑝)
𝑉(𝑑𝑖𝑠) × 𝑉(𝑙𝑢𝑛𝑔) 370
In a subset of experiments (specifically, in the SU5416-treated ZSF1 obese rats and their 371
corresponding controls), image quality and the resolution at light microscopic level was not 372
sufficient to allow for the stereological approach outlined above. Instead, we utilized TEM 373
images from these lungs to calculate total capillary volume density within the inter -alveolar 374
septa of the lung as previously described 20. In brief, a point grid test system was 375
superimposed onto the digitized TEM images to estimate volume densities of the respective 376
compartments according to design -based stereological principles. By point counting, the 377
epithelial, capillary endothelial, interstitial and capillary lumen (P capillary lumen) compartment 378
were quantified using STEPanizer software 23.The total number of test points hitting the 379
alveolar septum (Ptotal) was defined as the sum of points hitting alveolar epithelium, capillary 380
endothelium, interstitium, and capillary lumen. Total capillary volume density within the 381
septum was calculated as: Vv(cap/sept) = Pcapillary lumen / Ptotal. 382
Transmission electron microscopy 383
For transmission electron microscopic (TEM) analysis, ultrathin sections of 70 nm were cut 384
from Epon embedded tissue blocks collected on pioloform -coated copper grids and stained 385
with uranyl acetate and lead citrate60. TEM images were acquired by a Zeiss E M 906 386
electron microscope at 80 kV acceleration voltage (Carl Zeiss, Oberkochen, Germany) 387
equipped with a 2K CCD camera (TRS, Moorenweis, Germany). To assess autophagic stress 388
in EC, autophagosomes were identified as double membrane structures containing 389
undegraded cytoplasmic components such as endoplasmic reticulum membranes, 390
mitochondria, or ribosomes as previously described24. 391
Micro-computed tomography 392
To prepare lung tissue for micro-computed tomographic (µCT) imaging of the microvascular 393
bed, the contrast agent Vascupaint™ (SKU: MDL -121, MediLumine , Canada) was infused 394
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immediately post -mortem into the RV , from where it distributed through the pulmonary 395
vascular system. Once the contra st agent emerged from the LV, perfusion was maintained for 396
an additional 15 min to allow for optimal distribution of the contrast agent across the 397
pulmonary vasculature. Then, the pulmonary artery and the opening in the left ventricle were 398
ligated and the entire body of the animal was placed in the refrigerator (4°C) overnight to 399
harden the Vascupaint inside the lung. The next day, the lungs were transfered to 4% PFA for 400
storage and subsequent scanning by µCT. 401
Lungs were imaged on a SkyScan 1276 µCT imager (Bruker, Belgium) using the vendor’s 402
software for image acquisition (v.1.4) with the following parameters: X -ray source voltage of 403
100 kV and source current of 80 µA, step and shoot mode, 360° acquisition, Cu 0.25 mm 404
filter, rotation step of 0.3°, pixel si ze of 8 µm, exposure time of 2,000 ms, and frame 405
averaging of 4. Flat field correction was always applied. 406
Images were reconstructed to 8-bit files using NRecon (v.1.7.4.6, Bruker, Belgium). Beam -407
hardening correction of 12% and ring -artefact correction of 2 were applied. Image analysis 408
was performed with CTAn (v.1.20.8.0, Bruker, Belgium) starting with a delineation of a 409
volume of interest (VOI) to separate the tissue from the surrounding elements in the image. 410
Next, multiple analysis steps were applied to calculate the total organ volume, the volume of 411
the vascular tree and the distributions of the diameters of the segmented blood vessels as 412
follows: Gaussian filtering 3D (radius = 2), global thresholding (11 -255), morphological 413
opening 3D (r=3), sweeping a ll except the largest object (3D), morphological closing 3D 414
(r=3), removing pores 3D, morphological closing 2D (r=8), removing pores 3D, 415
morphological opening 2D (r=8), removing speckles 3D (<5,000 voxels), saving bitmap, 3D 416
analysis, reloading image, median filtering 3D (r=1), global thresholding (62 -255), removing 417
speckles 3D (<30 voxels), saving bitmap, and finally 3D analysis with computation of the 418
trabecular thickness distribution. In a few cases the global threshold for segmentation of the 419
total orga n volume was set at 15 instead of 11 to achieve the same accuracy. Total tissue 420
volume and total vascular volume were calculated. To specifically capture changes in the 421
pulmonary microvasculature, vascular volume of vessels <250 µm in size was quantified; a 422
vessel size of 110 µm was defined as lower cutoff for reliable resolution of single vessel 423
segments. 424
Pulmonary capillary surface area 425
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In a subset of AoB experiments, pulmonary capillary surface area was determined by the blue 426
dextran (BD, Sigma -Aldrich, Germany) efflux method 25. In brief, lungs were isolated from 427
AoB or sham rats, perfused with Krebs -Ringers buffer containing 5% dextran, and then 428
loaded with BD by addition of 0.67 mg/mL BD to the perfusate. Samples were collected from 429
the outflow reservoir at 1 min intervals, then circulatory flow was re -started with BD -free 430
Krebs-Ringers buffer containing 7% bovine serum albumin (BSA) with sample collect ion 431
from the outflow reservoir in 30 s intervals. The perfusion volume was recorded, and the BD 432
concentration in each sample was spectrophotometrically determined at λ=630 nm. As the 433
pulmonary capillaries will bind BD during dye loading as a function of th eir total surface 434
area, the subsequent efflux of dextran during BD -free perfusion can be used to calculate how 435
much BD did initially bind to the capillary bed, and thus to estimate the pulmonary capillary 436
surface area. 437
Lung immunohistology 438
Lung tissue sect ions were fixed in 4% PFA and stored in 1x PBS. After embedding in 439
paraffin, 5 µm thick sections were cut, dried at 65°C and deparaffinized by Xylol (2X 5 min, 440
Roth) and a decreasing alcohol series (2X 100%, 90%, 80%, 70%) finished with distilled 441
water (5 min each step). Samples were boiled in a microwave at 600W for 10 min in Tris -442
EDTA buffer, then cooled for 20 min. After rinsing sections for 5 min in PBS, samples were 443
blocked by PBTB (0.2% Triton X -100, 5% normal goat serum, 0.2% BSA in PBS) at room 444
temperature for 1 h and finally incubated with primary antibodies at 4°C overnight. Primary 445
antibodies used for immunostaining of lung tissue sections and respective dilutions were: 446
PECAM-1 (1:400; goat polyclonal; #AF3628, R&D Systems, Minneapolis, MN), cleav ed-447
caspase 3 (Cl -Cas3; 1:400; rabbit polyclonal; #9661, Cell Signaling, Danvers, MA), and 448
cleaved PARP-1 (1:400; Abcam, #ab32064). The tissue sections were washed 1x with PBS, 449
followed by incubation with fluorescent dye -conjugated secondary antibodies at r oom 450
temperature for 1 h and again 1x wash in PBS. Secondary antibodies were: Alexa Fluor TM 451
594 rabbit anti -goat antibody (1:500; #A11080), and Alexa Fluor TM 647 goat anti -rabbit 452
antibody (1:500; #A21245, all Invitrogen TM, Carlsbad, CA). After 1x wash in PBS, tissue 453
sections were stained with DAPI (1:1000; # D9542, Sigma -Aldrich) for 10 min. Following 454
another 1x wash in PBS, tissue sections were mounted with Fluoromount -GTM without 455
DAPI (Invitrogen TM, Carlsbad, CA), imaged by confocal microscopy (Nikon Scanning 456
Confocal A1Rsi+, Tokyo, Japan) and analyzed using ImageJ. Representative images were 457
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selected from randomly acquired fields using systematic sampling across each section. For 458
each group, the representative field was chosen from an animal with a quantified value 459
closest to the group median. Display settings were applied identically across groups. 460
Single cell RNA sequencing 461
The dataset used in this study was generated in a previous study from lungs of C57BL/6J 462
mice treated with L-NAME and HFD (analogous to our murine HFpEF model) for 2 weeks 26, 463
and is publicly available through the Gene Expression Omnibus under accession number 464
GSE244309. The full code used for the original scRNA -seq analyses is available at 465
https://github.com/kropskilab/myeloid_il1b. We re-analyzed this single-cell RNA sequencing 466
(scRNA-seq) dataset using the Seurat R package (v4) alongside supporting packages dplyr, 467
tidyr, ggplot2, and viridis for data processing and visualization. The Seura t object was first 468
loaded, and samples were annotated into experimental groups ("Control" or "HFpEF") based 469
on sample identifiers. Gene expression was normalized using Seurat’s NormalizeData 470
function (log -normalization). For targeted analyses of integrated apoptotic and autophagic 471
markers, curated gene sets related to regulated cell death pathways and autophagy were 472
selected based on existing literature. The applied gene sets are given in Suppl. Tables 1A and 473
1B. Individual cell types were identified as in the original publication 26 and expression 474
matrices for the selected gene sets were extracted for specific cell types. For each cell, a "net 475
expression" score was calculated as the sum of expression values across all genes in the set. 476
Individual samples wer e grouped by experimental condition. Data are displayed as boxplots 477
and scatterplots of net expression. 478
Data analyses and statistics 479
Statistical analyses were performed using GraphPad Prism 9 software (GraphPad Software, 480
Inc., Boston, MA). Results are rep orted as median with interquartile range (IQR) or 481
mean±SEM. Normality was assessed by Shapiro -Wilk normality test. For 2 -group 482
comparisons, parametric data sets were analyzed by unpaired parametric two-tailed t -test; 483
non-parametric data sets by Mann -Whitney U-test. P-values were adjusted for multiple 484
testing using the false discovery rate (FDR) method. For comparisons between multiple 485
groups, one-way analysis of variance (ANOV A) was used for parametric data sets, followed 486
by Dunn´s test. For correlations analysis, the Pearson correlation coefficient r was calculated. 487
Statistical significance was assumed at p < 0.05. 488
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489
490
Results
491
Impaired oxygenation in HFpEF patients 492
To assess parameters of pulmonary oxygenation in clinical HFpEF, we first analyzed data 493
from 234 HFpEF patients enrolled in the clinical cohort of the CRC1470 at the German Heart 494
Center of the Charité, Berlin. Patients were stratified based on NYHA classification, and 495
echocardiographic evaluation confirmed increased HFpEF severity – namely a higher ratio of 496
early to late LV filling velocity (E/A), a higher ratio of early diastolic mitral inflow velocity 497
over early diastolic mitral annular tissue velocity (E/e´), and a lower global longitudinal strain 498
(GLS) - with higher NYHA class (Fig. 1A). LV eje ction fraction (LVEF) did not differ 499
between classes and was consistently >50% confirming the diagnosis of HFpEF. LV end -500
diastolic volume (EDV) showed a trend to lower values with higher NYHA class that, 501
however, did not reach the level of significance. Co mplete patient demographics (Suppl. 502
Table 2) and the full set of echocardiographic parameters (Suppl. Table 3) are provided as 503
Supplementary Material. 504
Inversely to HFpEF severity, arterial oxygen saturation (SaO 2) measured either at rest or 505
during cardiopulmonary exercise testing at maximal load decreased with advancing NYHA 506
class, with patients of NYHA class III showing significantly lower SaO 2 levels than those 507
with NYHA class I (Fig. 1B). These findings not only consolidate previous reports of 508
systemic hypoxemia in HFpEF patients, but demonstrate a direct association between disease 509
severity and the degree of hypoxemia both at rest and – even more pronounced - during 510
exercise. 511
Consistent with impaired blood oxygenation during pulmonary transit, assessment of single -512
breath carbon monoxide uptake in the same patient cohort revealed a decreased diffusing 513
capacity of the lungs (DLCO -SB) in NYHA cl ass III relative to NYHA class I patients 514
(Suppl. Fig. 1A). Alveolar volume (V A) and hemoglobin (Hb) concentration, which may 515
affect DLCO, did not differ between groups (Suppl. Fig. 1B,C), suggesting impaired gas 516
diffusion across the alveolo-capillary membrane in severe HFpEF. This notion was confirmed 517
by lower DLCO -SB after correction for Hb (DLCOc -SB; Fig. 1C) and a lower transfer 518
coefficient for CO (KCOc -SB), which corrects DLCOc -SB for V A (Suppl. Fig. 1D). In line 519
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with this notion, estimated dead space (VD/VT) increased with NYHA class in exercise, 520
although it did not differ at rest (Fig. 1D). Finally, DLCOc -SB correlated with parameters of 521
LV diastolic function, specifically with E/e´ and EDV indicating that impaired gas diffusion 522
in the lung was directly related to LV diastolic dysfunction in HFpEF (Fig. 1E). 523
524
Lung microvascular rarefaction in HFpEF animals 525
To probe for micro vascular rarefaction as p otential mechanism of impaired pulmonary gas 526
exchange, we next characterized microvascular remodeling across two different preclinical 527
models of HFpEF. First, we used the established model of SU5416 -treated ZSF1 obese rats 528
(Fig. 2A). Consistent with HFpEF , rats sh owed characteristics of LV diastolic dysfunction, 529
namely an altered E/A ratio and a reduced GLS, while the increase in E/e´ ratio did not reach 530
the level of significance (Fig. 2B). LV EF remained unchanged at approximately 60%. 531
Invasive hemodynamic measure ments demonstrated an increase in RVSP in line with 532
secondary pulmonary hypertension (PH). µCT imaging (a representative recording of which 533
is shown as Suppl. Video 1) revealed a decrease in pulmonary vascular volume that was 534
particularly prominent in vessels <250 µm in diameter (Fig. 2D ; Suppl. Fig. 2 A), and a 535
decrease in capillary volume density within the interalveolar septa of the lung as determined 536
by stereological assessment of TEM images (Fig. 2E). A full set of echocardiographic, 537
hemodynamic an d gravimetric data on SU5416 -treated ZSF1 obese rats is given in Suppl. 538
Table 4, and additional stereological parameters are given in Suppl. Table 5. 539
To further consolidate these results in a different species and to allow for subsequent 540
mechanistic interrogation in genetically modified animals, we next probed for microvascular 541
rarefaction in a murine HFpEF model of metabolic and hypertensive stress (Fig. 2F). In line 542
with previous studies, the combination of high fat diet (HFD) with the nitric oxide syntha se 543
inhibitor L-NAME induced characteristic signs of diastolic dysfunction, reflected by a change 544
in E/A ratio, an increased E/e´ ratio and a corresponding decrease in GLS (Fig. 2G). In line 545
with a HFpEF phenotype, LVEF was again preserved (Fig. 2G), yet he modynamic signs of 546
overt PH were absent (Fig. 2H). Flow cytometric analyses revealed a time -dependent, 547
exponential loss of lung microvascular endothelial cells and stereological assessment 548
confirmed a reduced number of capillaries per lung in HFpEF mice (Fig. 2I). Finally, HFpEF 549
mice showed characteristic signs of exercise intolerance, including reduced running distance 550
and lower maximal oxygen consumption (VO ₂max) during treadmill exercise (Fig. 2J). Full 551
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sets of echocardiographic , hemodynamic and gravimetric data as well as stereological data 552
are given in Suppl. Tables 6&7. 553
554
555
556
Lung microvascular rarefaction in AoB rats 557
To probe whether lung microvascular rarefaction is specific for HFpEF, we next characterized 558
the pulmonary microvasculature in a preclinical heart failure model independent of prototypic 559
triggers of HFpEF, namely AoB rats (Fig. 3A). After 9 weeks, AoB rats also showed signs of 560
LV diastolic dysfunction including an increase in E/A and E/e´ ratio and a reduced GLS (Fig. 561
3B). While LVEF showed a slight trend to decline, this effect did not reach statistical 562
significance. Similar to SU5416 -treated ZSF1 obese rats, AoB rats had an increased RVSP 563
(Fig. 3C). A full set of echocardiographic, hemodynamic and gravimetric data is given in 564
Suppl. Table 8. µCT imaging did not detect significant differences in tissue or vascular 565
volume at the total lung level between AoB rats and controls (Suppl. Fig. 2 B); yet, l ung 566
vascular volume of vessels <250 µm in diameter was again significantly reduced consistent 567
with loss of pulmonary microvessels (Fig. 3D). BD efflux analyses, flow cytometry (gating 568
strategy shown in Suppl. Fig. 3) and quantitative stereology demonstrate d a corresponding 569
decrease in pulmonary capillary surface area, the total number of lung microvascular 570
endothelial cells, and the total capillary number per lung (Fig. 3E), consolidating lung 571
microvascular rarefaction in AoB rats. A full set of stereological parameters is given in Suppl. 572
Table 9. Taken together, th ese findings identify pulmonary microvascular rarefaction as a 573
characteristic pathological feature of left heart failure in different species and preclinical 574
models. 575
576
HFpEF drives autophagy-dependent cell death in lung microvascular endothelial cells 577
In recent work, we identified chronic hypoxia to cause autophagy -driven cell death in lung 578
microvascular endothelial cells 24. To probe for a potentially similar scenario in HFpEF, we 579
accessed a single cell RNA sequencing (scRNAseq) dataset from a previous study by 580
Agrawal and coworkers26 which analyzed murine lungs in a similar model of HFD/L-NAME-581
induced HFpEF at an earlier timepoint (2 weeks). Unbiased clustering reproduced the same 582
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cell types as originally reported by the authors including different endothelial subsets, namely 583
mesothelial, arteriolar, general capillary (gCap), aerocytes (aCap) and venular endothelial 584
cells (Fig. 4A). Relative to controls, HFpEF mice showed a significant loss of gCaps while a 585
concomitant decrease in aCaps did not reach significance (Fig. 4B). Conversely, the 586
proportion of pericytes tended to increase. Consistently, an aggregate set of genes involved in 587
regulated cell death pathways increased significantly in gCaps while aCaps did again not 588
reach significance (Fig. 4C). This effect was associated with a parallel increase in an 589
aggregate set of autophagy marker genes in both aCaps and gCaps, but not in pericytes (Fig. 590
4D). When compared at the single cell level, aggregate autophagy marker genes correlat ed 591
with markers of regulated cell death pathways in gCaps (rs=0.38) and to a lesser extent also in 592
aCaps (rs=0.26; Fig. 4E). These findings indicate a propensity for regulated lung endothelial 593
cell death in HFpEF that is most pronounced in gCaps and less so in aCaps. 594
Evidence for increased endothelial autophagy and regulated cell death was next validated at 595
several levels in our HFpEF mouse model. First, we monitored autophagic flux in CD31+GS-596
IB4+ lung microvascular endothelial cells of HFpEF mice by flow cytometric detection of 597
autophagic vacuoles with monodansylcadaverine. In line with our scRNAseq analyses, 598
autophagic flux in lung endothelial cells increased within one week of HFpEF induction and 599
reached its plateau between weeks 6 - 9 (Fig. 5A,B). Consistently, TEM identified endothelial 600
autophagosomes in lung microvessels of HFpEF mice but not in control mice (Fig. 5C). 601
Subsequent immunohistological analyses revealed an increased abundance of apoptot ic 602
endothelial cells, detected as CD31 + cells staining positive for cleaved caspase 3 (Fig. 5D) or 603
cleaved-PARP1 (Fig. 5E), respectively, in HFpEF relative to control mice at week 12 , and – 604
in case of cleaved caspase 3 – as early as week 1. 605
To experimentally test for a functional role of increased endothelial autophagy in capillary 606
rarefaction in HFpEF, we next subjected mice with an endothelial -specific knockout of the 607
essential autophagy gene Atg7 (Atg7EN-KO) to our murine HFpEF model (Fig. 5F). In 608
stereological analyses, Atg7EN-KO HFpEF mice had hi gher numbers of capillaries per lung 609
relative to their corresponding Atg7EN-WT controls, indicating that capillary rarefaction is 610
prevented in the absence of excessive autophagic flux (Fig. 5 G). A similar increase in 611
capillary number in Atg7EN-KO relative to Atg7EN-WT mice was not evident under control 612
conditions, consistent with the view that baseline autophagic flux does not cause excessive 613
endothelial cell death. 614
615
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Systemic hypoxemia aggravates experimental HFpEF 616
To probe for functional effects of capillary rarefaction, we assessed parameters of gas 617
exchange in both rat and mouse models. In AoB rats, microvascular rarefaction secondary to 618
HF was associated with systemic hypoxemia as evidenced by reduced arterial partial pressure 619
of oxygen (PaO2) and arterial oxygen saturation (SaO 2), respectively (Fig. 6A,B). In contrast, 620
venous partial pressure of oxygen (PvO 2) remained unchanged (Fig. 6B), indicating impaired 621
pulmonary gas exchange rather than increased peripheral oxygen extraction as cause of 622
arterial hypoxemia. Analogous systemic hypoxemia was evident in HFpEF mice both at rest 623
and after treadmill exercise (Fig. 6 C,D). Conversely, attenuation of lung capillary rarefaction 624
in Atg7EN-KO mice with HFpEF improved oxygenation both at rest and after exercise (Fig. 625
6E,F), and this was associated with an extended running distance and improved maximal 626
oxygen consumption (VO ₂max; Fig. 6 G) relative to Atg7EN-WT mice. Not ably, these effects 627
were reversed in control, non -HFpEF mice, in that Atg7EN-KO mice had worse oxygenation 628
and exercise tolerance compared to their Atg7EN-WT counterparts. As we will discuss below, 629
these findings contrast the physiological relevance of bas eline autophagy versus the 630
pathological implications of excessive autophagy in HFpEF. Overall , these data identify 631
pulmonary microvascular rarefaction as a consequence of excessive endothelial autophagy 632
and cell death and as a characteristic pathological f eature of heart failure that contributes to 633
systemic hypoxemia and exercise intolerance. 634
To probe whether the resulting systemic hypoxemia may in turn affect severity and 635
progression of heart failure, we next combined the HFpEF mouse model with a final 2 -week 636
exposure to hypoxia (10% O ₂) starting after week 10 of HFD/L -NAME treatment (Fig. 6 H). 637
Echocardiographic assessment after 2 weeks of hypoxia revealed an exacerbated HFpEF 638
phenotype with preserved LVEF but signs of aggravate d LV dysfunction, indicated by an 639
increased E/e´ and a further decrease in GLS while E/A ratio remained pathologically altered 640
(Fig. 6 I). Complete echocardiographic data are given in Suppl. Table 10. These findings 641
demonstrate that hypoxemia can aggravate LV dysfunction, suggesting a potential detrimental 642
feed-forward loop between HFpEF, lung capillary rarefaction and hypoxemia as driver of 643
disease progression. 644
645
Loss of endothelial autophagy and moderate hyperoxia mitigate experimental HFpEF 646
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Contrasting the effects of hypoxia, prevention of capillary rarefaction and (partial) restoration 647
of normoxemia in Atg7EN-KO HFpEF mice was associated with improved LV diastolic 648
function as demonstrated by lower E/A (yet without reaching significance at p=0.059) and 649
E/e´ ratios as well as GLS relative to their corresponding Atg7EN-KO controls (Fig. 7A,B). 650
Complete echocardiographic data are given in Suppl. Table 11. To consolidate the link 651
between restored normoxemia and improved LV function in a translational ly relevant 652
scenario, we finally tested whether moderate hyperoxia may similarly mitigate LV 653
dysfunction in HFpEF mice. Analogous to our hypoxia experiments, we exposed HFpEF 654
mice to 40% O ₂ for the last 2 weeks of the HFD/L -NAME protocol (Fig. 7C). Similar t o our 655
findings in Atg7EN-KO mice, hyperoxia normalized E/A and E/e´ ratios as well as GLS (Fig. 656
7D) while LVEF remained unchanged (Fig. 7D). Stereological assessment of lung tissue 657
sections and arterial pulse oximetry at rest and after exercise further rev ealed that improved 658
LV function was in turn associated with a restoration of lung capillarization and gas exchange 659
(Fig. 7E,F). At the functional level, this resulted in restored exercise tolerance, evident as 660
normalized running distance in treadmill tests (Fig. 7G). The complete set of 661
echocardiographic data are given in Suppl. Table 12. 662
663
Discussion
664
In the present study, we identif ied in three different animal models of left heart disease 665
extensive structural remodeling of pulmonary microvessels that was associated with impaired 666
blood oxygenation and exercise performance. The latter findings were validated in a clinical 667
HFpEF cohort in that disease severity and parameters of LV dysfunction correlated with 668
impaired alveolo -capillary gas exchange. Mechanistic ally, microvascular rarefaction in 669
HFpEF was driven by excessive autophagy and subsequent autophagy -associated cell death 670
of lung capillary endothelial cells. At the functional level, the resulting hypoxemia aggravated 671
LV dysfunction and thus, accelerated HFpEF progression. Conversely, moderate hyperoxia 672
restored LV function, lung capillarization, gas exchange and exercise tolerance. These 673
findings identify pulmonary microvascular rarefaction as a previously unrecognized 674
pathological feature of HFpEF that drives disease progression and may contribute to recurrent 675
oxygen desaturations and dyspnea in HFpEF patients (Fig. 8). Moderate oxygen therapy may 676
present a promising avenue to decelerate or even reverse this disease trajectory. 677
678
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Impaired pulmonary gas exchange in HFpEF 679
Dyspnea or “air hunger” is one of the cardinal symptoms of HFpEF. Importantly, dyspnea is 680
alternatively triggered via inputs from arterial chemosensors or lung mechanosensors27, rather 681
than by changes in cardiac fun ction per se . Indeed, arterial desaturations are frequently 682
observed in HFpEF patients at rest and more characteristically during exercise 5,6. This effect 683
cannot be directly attributed to impaired hemodynamics in heart failure , as r educed CO and 684
increased left atrial pressures do by themselves not decrease, but potentially even increase 685
arterial oxygenation as they extend the contact time for blood with the oxygenation unit in the 686
alveolo-capillary compartment28. Increased peripheral oxygen extraction due to low CO may 687
potentially cause venous desaturation, which was, however, not evident in AoB rats and 688
should be readily compensated for by the physiological oxygenation reserve capacity of the 689
lung as long as alveolo -capillary gas exc hange is uncompromised. As such, dyspnea and 690
arterial hypoxemia in HFpEF point to structural alterations or functional deficiencies of the 691
gas-exchange units in the lung. 692
Indeed, patients with HFpEF or other forms of heart failure frequently show characteristics of 693
impaired alveolo-capillary gas exchange, evident as reduced DLCO 29-31. Further expanding 694
on these findings, we show for our clinical HFpEF cohort that arterial oxygen saturation at 695
rest and during exercise, as well as DLCO decreased as a function of NYHA class, 696
highlighting a direct association between disease severity and impaired pulmonary oxygen 697
exchange. DLCO changes were independent of alveolar volume or hemoglobin 698
concentration, consolidating the notion that impaired oxygenation and hypoxemi a reflect a 699
loss of effective alveolo -capillary diffusion capacity rather than changes in ventilated lung 700
volume or blood oxygen -carrying capacity. Further, DLCO correlated with 701
echocardiographic indices of diastolic dysfunction, indicating that declining efficiency of 702
pulmonary gas exchange parallels progressive worsening of LV filling in HFpEF patients. As 703
such, impaired pulmonary gas exchange emerges as a characteristic co -morbidity of HFpEF 704
that not only parallels the severity of HFpEF, but – as we will discuss later – may also 705
critically influence its progression. 706
Compromised lung diffusion capacity in HFpEF or other forms of heart failure has been 707
alternatively attributed to the formation of cardiogenic edema 32, structural thickening of the 708
alveolo-capillary barrier33, and/or ventilation-perfusion mismatching9,34-36. The extent of both 709
interstitial and alveolar edema in chronic heart failure patients is, however, relatively modest 710
due to a series of effective adaptive, counter -regulatory mechanisms such as a reduction in 711
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endothelial permeability and an increase in alveolar fluid clearance 37,38. Similarly, definite 712
data showing remodeling of the alveolo -capillary barrier or impaired ventilation -perfusion 713
matching in HFpEF patients and their contribution to impaired pulmonary gas exchange are 714
so far lacking. 715
In the present work, we provide first evidence for a decline in lung vascular gas exchange 716
surface area as pathomechanism for impaired alveolo -capillary gas exchange in HFpEF. 717
While surface area as a key determinant of alveolo -capillary gas diffusion is commonly 718
discussed in terms of alveolar surface, it is important to consider the equal relevance of 719
capillary surface area as its vascular counterpart. In the present stu dy, lung microvascular 720
rarefaction was evidenced in three different animal models of heart failure in two different 721
species –SU5416-treated ZSF1 obese rats, HFD/L-NAME-treated mice, and AoB rats – by a 722
set of different methodologies: µCT revealed a loss o f lung vascular volume in rat lungs that 723
was most pronounced in the microvascular compartment comprised of vessels <250 µm in 724
diameter. As µCT can, however, not resolve single alveolar capillaries, we consolidated 725
microvascular rarefaction at the capillary level by quantitative stereology, commonly 726
considered as the gold standard of lung morphometry 39. Specifically, we calculated the total 727
number of capillaries per lung from the Euler -Poincaré characteristic based on recognizable 728
topological constellations termed “islands”, “bridges” and “holes” in an unbiased manner 20. 729
Compared to their respective controls, both HFpEF mice and AoB rats showed a significant 730
reduction in total capillary number per lung, consolidating that microvascular rarefaction 731
extended to the functional units of gas exchange. Consistent with capillary rarefaction, flow 732
cytometric analyses revealed a time -dependent loss of microvascular EC in lungs with the 733
progression of HFpEF in mice that exceeded 50% after 12 weeks of HFD and L -NAME 734
treatment. Microvascular EC loss of similar magnitude was evident in AoB rats after 9 weeks. 735
In AoB rats, we further consolidated the actual loss of capillary gas exchange area by 736
measuring the efflux over time of a dye previously loaded to capillary EC in isolated perfused 737
lungs25. As such, we provide multiple levels of evidence for a structural loss of functional gas 738
exchange area in different animal models. The fact that microvascular rarefaction was equally 739
evident in classic rodent models of HFpEF as well as in a metabolic stress-independent model 740
of pressure overload in AoB rats highlights loss of pulmonary gas exchange units as universal 741
feature of heart failure, suggesting in turn that microvascular rarefaction is primarily driven 742
by changes in pulmonary hemodynamics common to different forms of heart failure rather 743
than by their individual pathogenetic mechanisms. In line with this notion, clinical finding of 744
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reduced DLCO and symptoms of dyspnea span across the entire spectrum of heart failure 745
patients29-31. 746
The extent of EC loss required to impair alveolo -capillary gas exchange is presently 747
unknown. The network of alveolar capillaries is extremely dense; that notwithstanding any 748
decrease in capillary gas exchange area will directly translate int o a proportional decrease in 749
oxygen diffusion as described by Fick´s first law of diffusion. At rest, impaired diffusion may 750
in part be compensated by the fact that blood oxygenation is completed before the blood exits 751
the pulmonary capillary bed 40, yet these compensatory mechanisms tend to fail with shorter 752
capillary transit times as seen e.g. in exercise. In line with this concept, arterial desaturation 753
in patients with NYHA class II or III became more prominent during exercise as compared to 754
rest. 755
(Micro)vascular rarefaction has previously been reported as a characteristic feature in patients 756
with and animal models of pulmonary arterial hypertension 24,41,42. To our knowledge, the 757
present work constitutes, however, the first report of a similar ph enomenon in left heart 758
disease. This finding is unexpected as the increased left atrial pressures seen in HF will 759
acutely recruit previously unperfused alveolar capillaries and further distend open 760
microvascular segments 28, resulting in a net increase in c apillary gas exchange surface. Our 761
present data show, however, that this acute effect is subsequently counteracted by a 762
progressive loss of EC and lung capillaries. 763
Further mechanistic interrogation revealed increased autophagic flux and a higher propensity 764
for apoptotic cell death in lung microvascular endothelial cells of HFpEF mice as compared 765
to controls. Specifically, analysis of a single -cell transcriptomic dataset of murine lungs at an 766
early stage of HFpEF (2 weeks after start of HFD/L -NAME) yielded increased expression of 767
regulated cell death pathway and autophagy related genes predominantly in gCaps that was 768
associated with a loss in total gCap cell numbers. The fact that these effects were more 769
prominent in gCap s than aCaps may at first seem counterintuitive in the context of HFpEF 770
associated arterial desaturation, as aCap s form the primary vascular unit for pulmonary gas 771
exchange43. However, as gCap s serve as progenitor pool for the largely non -proliferative 772
aCap population44, loss of gCaps at an early stage (shown in the present scRNAseq dataset to 773
occur within 2 weeks of HFpEF) is expected to have profound effects also on aCaps over the 774
subsequent progression of HFpEF. Consistently, flow cytometric and immunohistological 775
analyses of lungs from HFpEF mice revealed a progressive increase in autophagic flux over 776
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(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
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time and elevated markers of endothelial apoptosis, specifically cleaved caspase -3 and 777
cleaved-PARP1 in CD31+ cells at 12 weeks HFD/L -NAME. While physiological autophagy 778
constitutes an important cell survival mechanism, an emerging body of evidence shows that 779
excessive autophagy can trigger apoptotic cell death (autophagy -dependent cell death, 780
ADCD)45. In the present study, this dichotomy likely accounts for the finding that control 781
mice with EC -specific loss of the es sential autophagy gene Atg7 only managed a shorter 782
running distance compared to their wild type counterparts in treadmill tests, yes performed 783
better in the HFpEF model. 784
In previous work, we reported ADCD as a driver of lung microvascular EC loss in chronic 785
hypoxic PH24. In the present study, we identified an analogous mechanism in HFpEF, in that 786
deficiency of the essential autophagy gene Atg7 protected HFpEF mice from lung EC 787
apoptosis and capillary loss. Notably, this finding is in line with the results from a cardiome -788
directed network analysis of RNAseq data in HFpEF rats which identified apoptosis and 789
autophagy as one of five core disease processes 46. As such, excessive autophagy and ADCD 790
may constitute key drivers of both heart and lung disease in HFpEF. In parallel, ADCD of 791
lung microvascular endothelial cells emerges as a principal characteristic across different 792
types of PH (namely PH due to chronic hypoxia or HFpEF). 793
Importantly, the development of lung capillary rarefaction and subsequent hypoxemia 794
promote the progression of ventricular dysfunction in HFpEF in a detrimental feedforward 795
loop. Exposing HFpEF mice to hypoxia worsened characteristic signs of LV diastolic 796
dysfunction, while moderate hyperoxia improved LV function and exercise tolerance. 797
Notably, hyperoxia also restored pulmonary capillarization and normalized arterial 798
oxygenation, indicating that the "vicious circle" between HFpEF and lung c apillary 799
rarefaction can be reversed into a "virtuous circle". As such, ambulatory oxygen therapy e.g. 800
by high flow nasal oxygen may not only alleviate symptoms of dyspnea and increase exercise 801
capacity in HFpEF patients 47, but may provide a therapeutic me ans to decelerate disease 802
progression. Beyond oxygen therapy, interventions targeting the underlying mechanisms of 803
microvascular rarefaction may guide future therapeutic strategies with the aim to reduce 804
endothelial apoptosis and/or modulate excessive endo thelial autophagy to preserve lung 805
microvascular integrity. 806
Several methodological aspects and limitations of the present study merit specific 807
consideration. First, pressure -overload models are commonly considered as HFrEF rather 808
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(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted March 9, 2026. ; https://doi.org/10.64898/2026.03.05.709974doi: bioRxiv preprint
than HFpEF models. Hence, although the majority of our AoB rats had an EF >50% and 809
showed signs of diastolic dysfunction such as increased E/A, E/e´ and a reduced GLS, 810
caution is required in the interpretation of this model as HFpEF, as it may transition to a 811
HFrEF phenotype at later stages. In the present manuscript, we thus refer to AoB rats as a 812
model of heart failure due to pressure overload . In contrast, the SU5416 -treated ZSF1 obese 813
rat and the HFD/L -NAME murine model present well -established models of LV HFpE F, 814
which was confirmed in the present study by echocardiographic signs of diastolic dysfunction 815
in the presence of a sustained EF. Importantly, microvascular rarefaction and impaired gas 816
exchange were consistent across models irrespective of LVEF, suggesti ng that this 817
pulmonary phenotype reflects fundamental consequences of chronic pulmonary congestion 818
secondary to LV failure rather than a response unique to a specific subtype of HF. Second, 819
E/A ratios tended to change in different directions across models, with E/A increasing in 820
HFpEF patients, AoB rats, and HFD/L -NAME mice while they decreased in SU5416 -treated 821
ZSF1 obese rats and in hypoxia -exposed HFD/L -NAME mice. This seemingly discrepant 822
effect is well -recognized in the literature: As the transmitral f low pattern depends both on 823
loading conditions and diastolic function, E/A may decrease in HF due to impaired relaxation 824
or increase due to restrictive filling. Importantly, all models exhibited clear evidence of 825
diastolic dysfunction based on changes in G LS and/or E/e′, validating E/A as an informative 826
but context-dependent indicator of diastolic abnormalities. Third, in ZSF1 rats image quality 827
and the resolution at light microscopic level was not sufficient to allow for the stereological 828
assessment of cap illary number per lung. We thus adopted an alternative, TEM based 829
stereological approach to estimate capillary volume density within the interalveolar septa of 830
the lung in these animals. The identified loss of capillary structures was nevertheless 831
internally consistent in both quality and quantity with results obtained by classical stereology 832
in AoB rats or HFpEF mice. Fourth, it should be emphasized that the degree of hypoxia used 833
(10% O₂) exceeds the level of hypoxemia typically observed in human HFpEF. T he results of 834
this intervention should therefore be interpreted primarily as proof-of-principle demonstrating 835
the impact of impaired gas exchange on cardiac function rather than as a direct clinical 836
analogue. Finally, it should be noted that in HFpEF mice, capillary rarefaction was not 837
associated with a corresponding increase in RVSP. This observation aligns with prior work 838
by Duncan Stewart and colleagues showing that RVSP only starts to increase after more than 839
2/3 of the pulmonary microvascular bed has b een lost 48,49. As such, impairments in gas 840
exchange may precede overt PH in the trajectory of HFpEF. 841
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(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted March 9, 2026. ; https://doi.org/10.64898/2026.03.05.709974doi: bioRxiv preprint
In summary, our clinical and experimental data converge on a new and previously 842
unrecognized mechanism of exertional dyspnea in heart failure with important functional and 843
therapeutic consequences for disease progression. Through autophagy - and apoptosis-driven 844
loss of lung endothelial cells, HFpEF causes a significant loss in surface area for alveolo -845
capillary gas exchange, thus contributing to impaired diffusion capacity, systemic hypoxemia 846
and exercise intolerance. Hypoxemia, in turn, aggravates LV dysfunction, thereby 847
establishing a feed -forward loop between cardiac and pulmonary pathology. The ability of 848
moderate hyperoxia or inhibition of endothelial autophagy to restore not only blood 849
oxygenation, but also pulmonary capillarization and – importantly - improve cardiac diastolic 850
performance highlights the therapeutic potential of targeting the lung microvasculature and/or 851
systemic oxygenation in heart failure. These findings broaden the mechanistic framework of 852
heart failure beyond the myocardium and identify the pulmonary microcirculation as a critical 853
— and potentially modifiable — determinant of disease progression. 854
855
Acknowledgement
856
The authors thank all Kuebler and Grune lab members for discussion and insightful 857
comments. We thank Kerstin Riskowski, John Horn, and Katja Dörfel for technical assistance 858
and Dr. Sara Timm and Petra Schrade from the Core Facility of Electron Microscopy f or 859
support. We thank the Advanced Medical Bioimaging Core Facility (AMBIO) of the Charité 860
for support in acquisition of imaging data. The graphical abstract has been created in 861
BioRender. Kocana, C. (2026) https://BioRender.com/rio5nw2. Dyspnea figure in the 862
graphical abstract was created with Illustrae.co. 863
864
Funding 865
C.K., J.L., J.G. and W.M.K. were funded by the Deutsche Forschungsgemeinschaft (DFG, 866
German Research Foundation) - SFB-1470 (Project ID 437531118) A04, B05, Z02. W.M.K. 867
was supported by the DZHK (German Centre for Cardiovascular Research) , funding code s: 868
81Z0100214 and 81X2100294 and by DFG operational grants KU1218/11 -2, KU1218/12-1, 869
KU1218/14-1 and the SFB-1449 (Project ID 431232613 ) B01. J.G., D.F., L.v.O. and N.H. 870
were funded by the Corona-Stiftung Grant S199/10086/2022. L.v.O. was supported by a 871
scholarship from the Sonnenfeld Foundation. J.G. and A.W. were supported by the DZHK , 872
funding code: 81X3100305. C.B. was funded by DFG operation al grant BR5347/4-1. G.G.S 873
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted March 9, 2026. ; https://doi.org/10.64898/2026.03.05.709974doi: bioRxiv preprint
was supported by grants from DZHK , funding code: 81X3100210, 81X2100282; the DFG 874
SFB-1470 (Project ID 437531118 ) A02, Z01; the European Research Council – ERC StG 875
101078307; and HI-TAC (Helmholtz Institute for Translational AngioCardiScience). 876
877
Author contribution 878
C.K. and L.J. performed and analyzed experiments and interpreted data. C.K. made the 879
figures. N.H., P.S., Q.L., K.K., A.M., D.F., L.v.O., P. -L.P., J.L.G. and A.W. performed 880
experiments and collected data. A.M.C., K.F., E.R., A.K., L.K., D.Z. and V.Z. provided 881
human specimen and data. S.M.T., M.A.H., B.K.B. and S.A.H. performed single -cell RNA 882
sequencing analysis. J.G. and W.M.K. designed experiments. M.U., C.B., J.G. and W.M.K. 883
discussed results and strategy. C.K. and W.M.K. wrote the manuscript with input from all 884
authors. W.M.K. conceived and directed the study. 885
886
Conflict of interest 887
The other authors declare no conflict of interest. G.G.S. reports research agreements and/or 888
speaker honoraria and/or consultancy agreement from Boehringer Ingelheim, Pfizer, Novo 889
Nordisk, e-Therapeutics, Sanofi not related to this work. 890
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(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted March 9, 2026. ; https://doi.org/10.64898/2026.03.05.709974doi: bioRxiv preprint
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S, Falcao -Pires I, van Bilsen M. A directed network analysis of the cardiome identifies 1046
molecular pathways contributing to the development of HFpEF. J Mol Cell Cardiol . 1047
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47. Muller J, Lichtblau M, Saxer S, Calendo LR, Carta AF, Schneider SR, Berlier C, Furian M, 1049
Bloch KE, Schwarz EI, Ulrich S. Effect of breathing oxygen -enriched air on exercise 1050
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Physiol Lung Cell Mol Physiol. 2018;315(4), L502–L516. 1057
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Figures and Figure Legends 1078
.CC-BY-NC-ND 4.0 International licenseavailable under a
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Figure 1. Impaired oxygenation in HFpEF patients 1080
A total of 234 HFpEF patients of the clinical cohort of the CRC1470 were stratified according to New 1081
York Heart Association (NYHA) class I (n=25), II (n=157), and III (n=52). A. Echocardiographic 1082
analysis of left ventricular (LV) ejection fraction (LVEF), ratio of early to late LV filling velocity (E/A 1083
ratio), ratio of early diastolic mitral inflow velocity over early diastolic mitral annular tissue velocity 1084
(E/e’ ratio), global longitu dinal strain (GLS) and end -diastolic volume (EDV); B. Arterial oxygen 1085
saturation (SaO 2) at rest and during cardiopulmonary exercise testing at maximal load; C. Diffusing 1086
capacity of the lungs for carbon monoxide after correction for hemoglobin (DLCOc -SB); D. 1087
Estimated dead space relative to tidal volume (V D/VT) at rest and during cardiopulmonary exercise 1088
testing at maximal load. E. Correlation analysis of E/e´ ratio and EDV against DLCOc -SB. Dots 1089
represent individual patients. Data are presented as median with interquartile range (IQR) . Kruskal-1090
Wallis test followed by uncorrected Dunn’s multiple comparisons test; r s: Spearman coefficient of 1091
correlation; P-values as indicated. 1092
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The copyright holder for this preprintthis version posted March 9, 2026. ; https://doi.org/10.64898/2026.03.05.709974doi: bioRxiv preprint
1097
Figure 2. Lung microvascular rarefaction in HFpEF animals 1098
A. Experimental protocol for HFpEF induction by SU5416 (s.c. 100 mg/kg) in ZSF1 obese rats. B. 1099
Echocardiographic analysis of left ventricular (LV) ejection fraction (LVEF), ratio of early to late LV 1100
filling velocity (E/A ratio), ratio of early diastolic mitral inflow velocity over early diastolic mitral 1101
annular tissue velocity (E/e’ ratio) and global longitudinal strain (GLS) in ZSF1 lean and SU5416 -1102
treated ZSF1 obese (n=13 -15 each) rats. C. Right ventricular systolic pressure (RVSP) in ZSF1 lean 1103
and SU5416 -treated ZSF1 obese rats (n=12 each). D. Representative micro -computed tomography 1104
(µCT) reconstructions of the pulmonary vasculature in ZSF1 lean (left) and SU5416 -treated Z SF1 1105
obese (right) rats and quantification of pulmonary vascular volume by µCT in vessels <250 µm in 1106
diameter in ZSF1 lean (n=4) and SU5416-treated ZSF1 obese (n=5) rats. Vessels <110 µm in diameter 1107
were excluded from the analysis due to limited resolution. E. Stereological quantification of capillary 1108
volume density within the interalveolar septa of the lung (V v(cap/sept)) in ZSF1 lean and SU5416 -1109
treated ZSF1 obese rats (n=3 each). F. Experimental protocol for HFpEF induction by high fat diet 1110
and Nω-Nitro-L-Arginin-Methylester-hydrochlorid ( L-NAME) in C57BL/6J mice. G. 1111
Echocardiographic analysis of LVEF, E/A ratio, E/e’ ratio and GLS in control and HFpEF mice (n=15 1112
each). H. RVSP in control and HFpEF mice (n=15 each). I. Flow cytometric quantification of 1113
CD31⁺/GS-IB4+ endothelial cells as a function of HFpEF progression over time (n=6 for each time 1114
point), and stereological quantification of total lung capillary number in control (n=10) and HFpEF 1115
(n=12) mice. J. Running distance and maximal oxygen consumption (VO₂max) of control and HFpEF 1116
mice (n=12 each) in treadmill exercise tests. Dots represent individual animals. Data are presented as 1117
median with interquartile range (IQR ; all data except for D,I ) or mean ± SEM (D,I). Mann–Whitney 1118
.CC-BY-NC-ND 4.0 International licenseavailable under a
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U-test (all data except for time course in I) or Kruskal -Wallis test followed by uncorrected Dunn’s 1119
multiple comparisons test; P-values as indicated or *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 1120
0.0001. 1121
1122
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1123
Figure 3. Lung microvascular rarefaction in AoB rats 1124
A. Experimental protocol for left heart failure induction by aortic banding (AoB) in rats. B. 1125
Echocardiographic analysis of left ventricular (LV) ejection fraction (LVEF), ratio of early to late LV 1126
filling velocity (E/A ratio), rat io of early diastolic mitral inflow velocity over early diastolic mitral 1127
annular tissue velocity (E/e’ ratio) and global longitudinal strain (GLS) in sham (n=14) and AoB 1128
(n=16) rats. C. Right ventricular systolic pressure (RVSP) in sham (n=14) and AoB (n=1 6) rats. D. 1129
Representative micro -computed tomography (µCT) reconstructions of the pulmonary vasculature in 1130
sham (left) and AoB (right) rats and quantification of pulmonary vascular volume by µCT in vessels 1131
<250 µm in diameter in sham (n=4) and AoB (n=3) ra ts. Vessels <110 µm in diameter were excluded 1132
from the analysis due to limited resolution. E. Pulmonary capillary surface area in sham (n=10) and 1133
AoB (n=10) rats as determined by blue dextran efflux, flow cytometric quantification of CD31⁺/GS -1134
IB4+ endothelial cells in sham (n=6) and AoB (n=7) rats, and stereological quantification of total lung 1135
capillary number in sham (n=7) and AoB (n=7) rats . Dots represent individual animals. Data are 1136
presented as median with interquartile range (IQR ; all data except for D) or mean ± SEM (D). Mann–1137
Whitney U-test; P-values as indicated or *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001. 1138
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1146
Figure 4. Single-cell RNA sequencing identifies propensity for regulated cell death and 1147
autophagy in general capillary cells 1148
A. Uniform Manifold Approximation and Projection (UMAP) plot shows different cell clusters from 1149
integrated analysis of murine lungs after 2 weeks of HFpEF induction by high fat diet/L -NAME. B. 1150
Proportion of general capillary endothelial cells (gCap), aerocytes (aCap), and pericytes in HFpEF 1151
versus control mice (n=4 each). C. Net expression of an aggregate set of marker genes for regulated 1152
cell death pathway in gCap, aCap, and pericytes in HFpEF versus control mice (n=4 each). D. Net 1153
expression of an aggregate set of autophagy marker genes in gCap, aCap and pericytes in HFpEF 1154
versus control mice (n=4 each). E. Correlation analysis of autophagy marker genes vs. regulated cell 1155
death pathway marker genes in gCap and aCap. Dots represent indivi dual animals (B) or cells (C-E), 1156
respectively. Data are presented as median with interquartile range (IQR) . Mann–Whitney U-test; rs: 1157
Spearman coefficient of correlation; P-values as indicated. 1158
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1166
Figure 5. HFpEF drives autophagy-dependent cell death in lung microvascular endothelial cells 1167
A. Experimental protocol for HFpEF induction by high fat diet and N ω-Nitro-L-Arginin-Methylester-1168
hydrochlorid (L -NAME) in C57BL/6J mice. B. Flow cytometric analysis of autophagic flux in 1169
CD31⁺/GS-IB4+ lung microvascular endothelial cells as a function of HFpEF progression over time 1170
(n=6-13 for each time point). C. Representative transmission electron micrographs of lung endothelial 1171
cells at (from top to bottom) increasin g levels of magnification showing autophagosomes (marked by 1172
black arrowheads) in HFpEF yet not in control mice. D,E. Representative images and quantitative 1173
analysis of cleaved caspase 3 (Cl -Casp3) ( red; D) and cleaved poly[ADP -ribose] polymerase 1(Cl -1174
PARP1) (red; E) staining in lung CD31 + endothelial cells (green; nuclei counterstained with DAPI in 1175
blue) from control (week 12) and HFpEF mice (week 0, 1, and 12) (n=10 each). Data are shown as 1176
percentage of vessels containing at least one Cl -Cas3 or Cl -PARP1 positive endothelial cell, 1177
respectively. F. Experimental protocol for HFpEF induction by high fat diet and L -NAME in 1178
endothelial cell-specific Atg7-deficient (Atg7EN-KO) and corresponding wild type ( Atg7EN-WT) mice. G. 1179
Stereological quantification of total lung capillary number in Atg7EN-WT (n=5 each) and Atg7EN-KO (n=8 1180
each) HFpEF or control mice. Dots represent individual animals. Data are presented as median with 1181
interquartile range (IQR) . Kruskal-Wallis test followe d by uncorrected Dunn’s multiple comparisons 1182
test; P-values as indicated. 1183
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1184
Figure 6. Systemic hypoxemia aggravates experimental HFpEF 1185
A. Experimental protocol for induction of left heart failure by aortic banding (AoB) in rats. B. Arterial 1186
oxygen saturation (SaO ₂), partial pressure of arterial oxygen (PaO ₂), and mixed venous oxygen 1187
saturation (PvO ₂) in sham (n=15) and AoB (n=16) rats. C. Experimental protocol for HFpEF 1188
induction by high fat diet and Nω-Nitro-L-Arginin-Methylester-hydrochlorid (L-NAME) in C57BL/6J 1189
mice. D. SaO₂ at rest and after exercise in control and HFpEF mice (n=8 each). E. Experimental 1190
protocol for HFpEF induction by high fat diet and L-NAME in endothelial cell-specific Atg7-deficient 1191
(Atg7EN-KO) and corresponding wild type (Atg7EN-WT) mice. F. SaO₂ at rest and after exercise in Atg7EN-1192
WT and Atg7EN-KO mice (n=5 -7 each). G. Running distance and maximal oxygen consumption 1193
(VO₂max) of Atg7EN-WT(n=5 each) and Atg7EN-KO (n=10 each) HFpEF or control mice in treadmill 1194
exercise tests. H. Experimental protocol for hypoxia exposure (10%O 2 for 2 weeks) in HFpEF mice. 1195
I. Echocardiographic analysis of left ventricular (LV) ejection fraction (LVEF), ratio of early to late 1196
LV filling velocity (E/A ratio), ratio of early diastolic mitral inflow velocity over early diastolic mitral 1197
annular tissue velocity (E/e’ ratio) and glo bal longitudinal strain (GLS) in control, HFpEF and 1198
HFpEF+Hypoxia mice (n=15 -21 each). Dots represent individual animals. Data are presented as 1199
median with interquartile range (IQR) . Mann–Whitney U-test (B,D) or Kruskal -Wallis test followed 1200
by uncorrected Dunn’s multiple comparisons test (F,G,I); P-values as indicated. 1201
1202
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1203
Figure 7. Loss of endothelial autophagy and moderate hyperoxia mitigate experimental HFpEF 1204
A. Experimental protocol for HFpEF induction by high fat diet and N ω-Nitro-L-Arginin-Methylester-1205
hydrochlorid (L -NAME) in endothelial cell -specific Atg7-deficient ( Atg7EN-KO) and corresponding 1206
wild type ( Atg7EN-WT) mice. B. Echocardiographic analysis of left ventricular (LV) ejection fraction 1207
(LVEF), ratio of early to late LV filling veloc ity (E/A ratio), ratio of early diastolic mitral inflow 1208
velocity over early diastolic mitral annular tissue velocity (E/e’ ratio) and global longitudinal strain 1209
(GLS) in Atg7EN-WT (n=5 each) and Atg7EN-KO (n=10 each) HFpEF or control mice. C. Experimental 1210
protocol for moderate hyperoxia exposure (40% O 2 for 2 weeks) in HFpEF mice. D. 1211
Echocardiographic analysis of LVEF, E/A ratio, E/e’ ratio and GLS in control, HFpEF and 1212
HFpEF+Hyperoxia mice (n=16 each). E. Stereological quantification of total lung capillary number in 1213
HFpEF (n=10) and HFpEF+Hyperoxia (n=10) mice. F. Arterial oxygen saturation (SaO ₂) at rest and 1214
after exercise in control, HFpEF and HFpEF+Hyperoxia mice (n=16 each). G. Running distance of 1215
control, HFpEF and HFpEF+Hyperoxia mice (n=16 each) in treadmill exercise tests. Dots represent 1216
individual animals. Data are presented as median with interquartile range (IQR) . Mann–Whitney U-1217
test (E) or Kruskal -Wallis test followed by uncorrected Dunn’s multiple comparisons test (all data 1218
except E); P-values as indicated. 1219
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1225
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Figure 8. Graphical abstract 1227
HFpEF causes lung microvascular rarefaction by driving autophagy -dependent endothelial cell death. 1228
Resulting hypoxemia contributes to clinical symptoms of dyspnea and aggravates HFpEF progression 1229
in a vicious circle. 1230
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