Results
137
Proteomic profiling of human atherosclerotic plaques associates IgG with disease severity and 138
outcome 139
To identify potential factors directly involved in atherosclerosis, we collected atherosclerotic coronary 140
tissue from 98 coronary artery disease (CAD) patients undergoing simultaneous coronary artery bypass 141
graft (CABG) surgery and coronary endarterectomy (CE). Segments were stratified into peripheral (mild 142
plaque) and core (severe plaque) zones, yielding 91 mild and 110 advanced lesions ( Fig. 1A ). For 143
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controls, 32 healthy coronary segments were obtained from 14 heart-transplant donors. In total, 233 144
specimens were subjected to data-independent acquisition (DIA) proteomic profiling ( Fig. 1B and Table 145
1). Principal component analysis (PCA) revealed a clear distinction among the three groups, validating 146
sampling strategy (Fig. S1A). Notably, all four IgG heavy-chain isoforms (IGHG1, IGHG2, IGHG3 and 147
IGHG4) were elevated in atherosclerotic plaques, with the highest in the severe core region ( Fig. 1C ). 148
The broader IgG repertoire, encompassing both light and heavy chains, followed the same pattern ( Fig. 149
S1B). We next investigated the association of tissue IgG levels with clinical outcomes. Kaplan–Meier 150
analysis revealed elevated plaque levels of IGHG1, IGHG2, and IGHG4 to associate with a trend toward 151
shortened event-free survival, whereas higher IGHG3 was associated with a more favorable course (Fig. 152
1D). Immunohistochemical (IHC) analysis of human coronary arteries corroborated the proteomic data, 153
showing marked IgG deposition within the intima of atherosclerotic lesions (Fig. 1E, Fig. S2A, B). 154
IgG’s tissue accumulation is dependent on its recycling receptor FcRn and not B cell production 22,24. 155
Interestingly, FcRn expression mirrored the pattern found with IGHG, displaying stepwise increases in 156
mild and advanced plaques compared to controls ( Fig. 1F ). Transcriptomic interrogation of four 157
independent public data sets, spanning early and advanced lesions, stable and ruptured plaques, and 158
plaques with or without intraplaque hemorrhage (IPH), consistently showed elevated FCGRT (encoding 159
FcRn) expression in more severe plaques ( Fig. S2C). Clinically, low FcRn protein levels were protective 160
against cardiac events in our cohort ( Fig. 1G ). This association was recapitulated in the transcriptomic 161
Biobank of Karolinska Endarterectomy (BiKE) cohort, where higher plaque FCGRT correlated with an 162
elevated risk of cerebrovascular events (Fig. 1H ). Collectively, these cross-cohort human data indicate 163
that plaque IgG, likely facilitated by FcRn as it medi ates its recycling, positively correlates with the 164
progression of and adverse outcomes in CAD, highlighting its potential importance in atherosclerosis. 165
166
Single-cell resolution of IgG and FcRn in human atherosclerotic plaques 167
To explore the cell-specific roles of IgG and FcRn in human plaques, we analyzed a dataset combining 168
cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) and single-cell RNA 169
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Zahr et al. IgG propels atherosclerosis
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sequencing (scRNA-seq) of human carotid atherosclerotic plaques 27. Plaques were stratified by disease 170
severity (symptomatic vs. asymptomatic; Fig. 2A ), and cell populations were clustered based on 171
transcriptional profiles ( Fig. 2B ). Interrogating these clusters for FCGRT revealed a predominant 172
expression in macrophages, with lower leve ls in endothelial cells and fibroblasts ( Fig. 2C). Macrophages 173
in human plaques are heterogenous. Among the five annotated macrophage subsets (Mf1–Mf5; Fig. 174
S3A), FCGRT expression was highest in clusters 1 and 5 ( Fig. 2D , and Table 2). Cluster 1, marked by 175
complement component proteins ( C1QA, C1QB, C1QC), CD64, and MHCII, and cluster 5, marked 176
by C1QA-C, immunoglobulin light chain, MHCII, and CD32, also exhibited the highest surface IgG Fc 177
levels in the CITE-seq data (Fig. 2E and Table 2), suggesting macrophage FcRn-dependent IgG retention 178
in the plaque microenvironment. 179
While FCGRT expression did not differ between symptomatic and asymptomatic plaques ( Fig. 180
S3B–G), IgG Fc surface levels were elevated in symptomatic patients—specifically 1.76-fold higher in 181
all macrophage subsets when combined ( Fig. S3H ), with the most pronounced increase (1.97-fold) in 182
cluster 5 ( Fig. S3I-M ). To further dissect this heterogeneity, we evaluated FCGRT and IgG Fc levels 183
across phenotypic subsets ( Fig. 2F ) defined by distinct gene signatures ( Fig. S3N ). Notably, both 184
FCGRT and IgG Fc were most abundant in IL1Bhi, C1Qhi, and foamy macrophages (Fig. 2G–J and Table 185
3), suggesting that IgG accumulation is particularly associated with pro-inflammatory and lipid-laden 186
macrophages within the plaque microenvironment. 187
188
IgG accumulates in atherosclerotic lesions in a macrophage FcRn-dependent manner 189
To investigate the accumulation of IgG and its role in atherosclerosis, we utilized Ldlr -/- mice fed a 190
western diet (WD). Robust IgG deposition was revealed in atherosclerotic lesions ( Fig. 3A, B ), 191
particularly IgG1 and IgG3 subclasses ( Fig. S4A-B). In contrast, plaque IgM was minimal—likely due to 192
structural constraints of its pentameric form 28—and IgA deposits were sparse ( Fig. 3A, B ). FcRn 193
expression was apparent and colocalized with IgG-positive regions in the intima ( Fig. 3C and Fig. S4C ). 194
Interestingly, exogenous IgG purified from healthy mice preferentially accumulated in plaque-rich 195
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Zahr et al. IgG propels atherosclerosis
8
regions within the aorta, suggesting plaque IgG is under dynamic exchange towards the arterial wall and 196
unlikely requires autoantibodies ( Fig.3D). Given that macrophages play a central role in atherogenesis 197
and highly express FcRn, we hypothesized that macrophage FcRn drives plaque IgG accumulation. To 198
test this, we employed myeloid-specific FcRn knockout mice (mKO) and transplanted their bone marrow 199
into irradiated Ldlr-/- recipients. After 16 weeks of WD feeding ( Fig. 3E ), mKO-transplanted mice 200
exhibited significantly reduced plasma IgG (but not IgM) levels (Fig. 3F) and a near-complete loss of IgG 201
in aortic arch ( Fig. 3G, H ) and root lesions ( Fig. 3I, J ). These results recapitulate the accumulation of 202
IgG seen in human plaques and demonstrate its dependence on macrophage FcRn. 203
204
Inhibiting plaque IgG accumulation protects against atherosclerosis 205
To determine whether FcRn-mediated IgG accumulation influences atherosclerosis outcome, we 206
evaluated plaque morphometrics in this cohort. Myeloid-specific deletion of FcRn reduced aortic root 207
lesion area by over 30%, as well as plaque necrosis—a hallmark of unstable, rupture-prone lesions 5—and 208
total acellular area ( Fig. 3K-N ). These benefits occurred without changes in body weight, glucose 209
tolerance or total and non-HDL cholesterol ( Fig. 3O, Fig. S4D-G ) but along with an increase in 210
circulating HDL (Fig. S4H-J). 211
To validate these findings, we employed a PCSK9-overexpression model (AAV-PCSK9) of 212
hypercholesterolemia in mKO and control mice ( Fig. S5A ). Consistently, mKO mice exhibited reduced 213
plaque and circulating IgG and a trending ~30% decrease in aortic root lesion area after 16-wk WD 214
feeding ( Fig. S5B-E ). Necrotic and acellular areas were consistently and significantly smaller, again 215
without alterations in cholesterol levels ( Fig. S5F-I). In the BMT model, mKO-transplanted Ldlr-/- mice 216
showed normal glucose tolerance and insulin sensitivity due to restrained weight gain after irradiation 217
(Fig. S4D ). In contrast, AAV-PCSK9-overexpressing mKO mice gained less weight on WD and 218
displayed improved metabolic parameters (Fig. S5J–L), recapitulating previous observations in obesity24. 219
Crucially, both models demonstrated comparable attenuation of atherosclerosis —irrespective of 220
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Zahr et al. IgG propels atherosclerosis
9
metabolic differences—underscoring a direct pro-atherogenic role for IgG within the plaque 221
microenvironment. 222
Next, we sought to evaluate the impact of IgG accumulation on plaque inflammation. In the BMT 223
model, aortic root lesions from mKO-transplanted Ldlr-/- mice exhibited reduced CD68 + macrophage area 224
and fewer Ki67 + macrophages ( Fig. S4K-M ), indicating decreased pan-macrophage activation and their 225
subsequent proliferation29. Furthermore, the inflammatory cytokine IL-1 β was markedly reduced both in 226
plaques and in circulation ( Fig. 4P-Q). Together, these findings demonstrate that preventing plaque IgG 227
accumulation curbs atherosclerosis burden. 228
229
IgG induces an inflammatory milieu in macrophages 230
Given the marked changes in plaque macrophage burden, we investigated whether IgG directly impacts 231
their inflammatory response ex vivo. Bulk RNA-seq of IgG-treated bone marrow-derived macrophages 232
(BMDMs) revealed a pronounced pro-inflammatory shift, alongside a suppression of genes involved in 233
cholesterol efflux, efferocytosis, and lysosomal activity ( Fig. 4A ). This inflammatory phenotype was 234
replicated in RAW264.7 macrophages, where IgG induced Nos2 and Il1b expression to levels comparable 235
to Lipopolysaccharide (LPS) stimulation ( Fig. 4B ). Notably, boiled IgG (b-IgG) failed to activate these 236
genes. Further, IgG—but not denatured IgG—increased IL-1 β secretion (Fig. 4C), confirming that native 237
IgG is required for the pro-inflammatory induction of macrophages. 238
NF-κ B governs macrophage inflammation by phosphorylation-dependent nuclear 239
translocation30,31, with implications in atherosclerosis 32. IgG treatment in RAW264.7 cells induced 240
phosphorylation of NF- κ B (p65) at Ser536 ( Fig. 4D) and triggered its rapid nuclear translocation within 241
15 minutes—a response delayed with LPS and absent with denatured IgG ( Fig. 4E, F and Fig. S6A ). 242
NLRP3 inflammasome activation occurs downstream of NF- κ B and contributes to the pathogenesis of 243
atherosclerosis33. IgG administration induced an upregulation of Nlrp3, Il1b, and Caspase1 transcripts, 244
similar to LPS (Fig. 4G). Of note, monocytes exhibited only a minimal response to IgG stimulation ( Fig. 245
4H), indicating that primed and differentiated macrophages are required for responding to IgG, mirroring 246
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Zahr et al. IgG propels atherosclerosis
10
the plaque microenvironment. As an indicator of inflammasome activation 34, ASC speck formation was 247
enhanced by IgG treatment in BMDMs with LPS as a positive control, while this effect was blocked by 248
the NLRP3 inhibitor MCC950 ( Fig. 4I). Consistently, intracellular levels of NLRP3, pro-IL-1 β , and pro-249
IL-18 were induced by IgG (Fig. 4J). Nigericin (signal 2) facilitated the proteolytic cleavage of these pro-250
forms into mature forms (IL-1 β and IL-18) 35, and this process was effectively suppressed by 251
pharmacological inhibition of NLRP3 by MCC950 or NF- κ B by Licochalcone D (LD) ( Fig. 4J ). Our 252
Results
show that IgG can effectively prime and activate the NLRP3 inflammasome. 253
To understand regulatory pathways, we pretreated BMDMs with various kinase inhibitors (MEK: 254
PD98059; PI3K: LY294002; Src/BCR-ABL: Dasatinib; BTK: Ibrutinib; Syk: R406) prior to IgG 255
exposure. None abolished IgG’s induction of inflammasome-associated genes, with some even 256
exacerbating the response ( Fig. S6B ). Furthermore, siRNA-mediated knockdown of Fc γ Rs ( Fcgr1, 257
Fcgr2b, Fcgr3, and Fcgr4 ) in BMDMs only partially or minimally attenuated pro-inflammatory gene 258
induction ( Fig. 4K, Fig. S6C ). Together, these findings demonstrate that IgG stimulates a pro-259
inflammatory state in macrophages primarily through NF- κ B, eliciting downstream activation of the 260
NLRP3 inflammasome. A similar trend was observed in THP-1 induced human macrophages ( Fig. S8H, 261
I). 262
263
IgG directly activates TLR4 in macrophages independently of its antigen-neutralization function 264
TLR4 is a prominent upstream activator of NF- κ B signaling 36,37. In RAW264.7 macrophages, IgG-265
induced NF- κ B phosphorylation and nuclear translocation were completely blocked by the TLR4 266
inhibitor TAK242, (Fig. 5A, B ; and Fig. S6D, E), as was the induction of Nos2 and Il1b (Fig. 5C), IL-1β 267
secretion (Fig. S6F), and NF-κ B phosphorylation ( Fig. 5D). Similar dependences on TLR4, NF- κ B, and 268
NLRP3 were observed in BMDMs and human THP-1 macrophages (Fig. S6G-I). Interestingly, pro-IL-1β 269
and IL-1 β levels were similarly induced by a monoclonal IgG antibody against PD1 (hPD1 mAb), and 270
this effect was also blocked by TAK242 ( Fig. 5E), implying that antigen recognition is not required for 271
TLR4 activation. To test this directly, we treated BMDMs with IgG’s antigen-binding fragment Fab or 272
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Zahr et al. IgG propels atherosclerosis
11
constant Fc fragment. Phosphorylation and nuclear translocation of NF- κ B were largely recapitulated by 273
Fc but not Fab treatment ( Fig. 5F; Fig. S7A, B ) accompanied by upregulation of downstream targets 274
(NLRP3, pro-IL-1 β , and pro-IL-18) ( Fig. 5G; Fig. S7C ). Fc-induced activation was also abolished by 275
TAK242. Moreover, treatment of mice with an IgG Fc fragment was sufficient to enrich its presence in 276
atherosclerotic plaques ( Fig.5H). Overall, we show that IgG plays a pathogenic role in the activation of 277
macrophages and the progression of atherosclerosis in a noncanonical manner. 278
To determine whether IgG directly engages with TLR4, we employed TurboID proximity labeling in 279
293T cells, revealing positive labelling of IgG by TurboID-tagged TLR4 ( Fig. 5I ). Surface plasmon 280
resonance (SPR) confirmed a robust binding between human IgG (hIgG) and the hTLR4-MD2 co-281
receptor complex ( Fig. 5J; Fig. S8A ). In contrast, IgG failed to bind to TLR4 without MD2 ( Fig. S8B, 282
C), highlighting that an integral TLR4 complex is required. In BMDMs derived from TLR4 lps-del mice, 283
which are deficient in TLR4 signaling38, IgG failed to induce NF-κ B’s nuclear translocation (Fig. 5K, Fig. 284
S8D) or phosphorylation ( Fig. S8E-G ). Similarly, IgG's induction of pro-inflammatory genes 285
(Il1b, Nos2, Il6, Nlrp3) and repression of pro-resolving genes ( Mertk) were abolished ( Fig, 5L), and IL-286
1β secretion was unchanged in TLR4lps-del BMDMs (Fig. S8H). Collectively, these results establish TLR4 287
as a necessary mediator for IgG to activate NF-κ B-driven inflammatory signaling in macrophages. 288
289
IgG promotes macrophage foam cell formation through the TLR4/NF-κ B/LCN2 axis 290
Lipid-laden macrophages, or foam cells, are key determinants of atherosclerosis progression 39, and their 291
formation is promoted by TLR4 activation 40-42. We therefore tested whether IgG can activate TLR4 to 292
accelerate this process. BMDMs were primed with IgG treatment and subsequently loaded with Dil-293
oxLDL. IgG significantly enhanced oxLDL uptake in BMDMs, similar to LPS, and TLR4 inhibition 294
effectively abolished this effect ( Fig, 6A,B). This IgG-induced foam cell formation was also blocked by 295
the NF-κ B inhibitor Licochalcone D but not by the NLRP3 inhibitor MCC950 ( Fig, 6C,D), indicating its 296
dependence on TLR4/NF-κ B signaling but not the NLRP3 inflammasome. 297
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Zahr et al. IgG propels atherosclerosis
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The mediators underlying the transformation of inflammatory macrophages into foam cells are under 298
active investigation. Lipocalin-2 (LCN2) is a secretory protein implicated in immune responses 43,44 and 299
atherosclerosis45-47. Noting its upregulation by IgG treatment in BMDMs by RNA-seq, we validated that it 300
was robustly induced by IgG in a TLR4-dependent manner ( Fig, 6E,F ). Recombinant LCN2 protein 301
facilitated Dil-oxLDL uptake in BMDMs, with no additive effect from IgG, and this process was 302
abrogated by the LCN2 inhibitor ZINC ( Fig, 6G,H), suggesting that IgG acts through LCN2 to promote 303
macrophage foam cell formation. Interestingly, IgG-induced foam cell formation was also recapitulated in 304
human THP-1 macrophages and blocked by Nipocalimab, a clinically used monoclonal antibody against 305
FcRn ( Fig, 6I, J ). We further investigated the clinical relevance of this axis. In the proteomic Fuwai 306
cohort, LCN2 protein levels were increased in both mild (periphery) and advanced (core) coronary artery 307
plaques compared to controls ( Fig, 6K), with higher plaque LCN2 trending toward shorter event-free 308
survival (P=0.224) (Fig, 6L). In the larger BiKE carotid plaque transcriptomic cohort, high plaque LCN2 309
expression was associated with significantly shorter event-free survival (P=0.0194) ( Fig, 6M ). In 310
conclusion, we identify LCN2 as a downstream effector of IgG-induced TLR4/NF- κ B signaling that 311
promotes macrophage foam cell formation, suggesting that the robust changes in plaque burden with IgG 312
accumulation inhibition may be occurring through this milieu. 313
314
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ACKNOWLEDGMENTS 508
Funding 509
This research was supported by the China Noncommunicable Chronic Diseases-National Science and 510
Technology Major Project (2023ZD0507900, L.Q., 2023ZD0504701 to W.F.), the National Natural 511
Science Foundation of China (32430047 to L.Q., 32471224, HY2022-8 to L.W.), National Institutes of 512
Health (NIH) R01DK134471 (L.Q.), the Russell Berrie Foundation (L.Q.), and the American Heart 513
Association (AHA) predoctoral fellowship (24PRE1198199 to T.Z.). We gratefully acknowledge the 514
NBDC Histology Core, and NYNORC for their support. We also thank George Kuriakose and Dr. Ira 515
Tabas' Atherosclerosis Phenotyping Core at Columbia University for blinded plaque morphometric 516
analyses. The content is solely the authors' responsi bility and does not necessarily represent the official 517
views of the AHA, NIH, or NSFC. 518
Author contributions 519
T.Z., K.Z., L.W. and L.Q. conceptualized the study, designed the experiments, and wrote the manuscript. 520
T.Z., K.Z., S.H., L.Y., Z.Y., D. L., Q.W., and QF.W. performed the experiments. T.Z., K.Z., S.H., C.X., 521
B.L., X.L., M.S., and A.R.K. performed data analyses. S.H., Z.H. and W.F. were in charge of human 522
sample collection and analyses; F.Y. and M.P.R. helped with resources and reagents. L.Q. is the primary 523
overseer of this study, and as such, has full access to all the data in the manuscript and takes responsibility 524
for the integrity of the data and the accuracy of the data analysis. 525
526
Competing interests 527
The authors declare no competing interests. 528
529
Data, code, and materials availability 530
/circle6 Data that support the findings of this study are available from the corresponding author upon 531
reasonable request. 532
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Zahr et al. IgG propels atherosclerosis
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/circle6 Clinical proteomic data will be made publicly available upon publication. 533
/circle6 Mouse RNA-seq data can be found in the GSA with accession number PRJCA02063722. 534
/circle6 Human scRNA-seq and CITE-seq data can be found in the Gene Expression Omnibus with 535
persistent ID GSE25390427. 536
/circle6 This paper does not contain original code. 537
/circle6 The research materials in this study are available upon request from the lead contact. 538
539
540
Supplementary Materials 541
Experimental model and study participant details. 542
Figures. S1 to S8 543
Graphic abstract. 544
545
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Zahr et al. IgG propels atherosclerosis
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Figure Legends 546
547
Figure 1. Elevated IgG and FcRn in advanced coronary artery plaques correlate with adverse548
clinical outcomes. 549
sis
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Zahr et al. IgG propels atherosclerosis
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A, Representative image of endarterectomized coronary intimal tissue collected during coronary artery 550
bypass graft surgery in patients with coronary artery disease (CAD). B, Schematic illustration of the 551
experimental design and cohort stratification. C, Violin plots showing the protein abundance of the four 552
IgG heavy chain isoforms (IGHG1–IGHG4) among the three groups. D, Kaplan–Meier curves illustrating 553
the association between IgG levels and the incidence of major adverse cardiac and cerebrovascular events 554
(MACCE) over a median follow-up period of 44 months. E, Representative immunohistochemical 555
staining of IgG on endarterectomized coronary intimal tissue sections collected during coronary artery 556
bypass grafting (CABG) from patients with coronary artery disease (CAD), (P1, P2, P3 = patient 1, 2 and 557
3). Scale bars, 50, 300 or 400 μm as indicated. F, Violin plots showing FcRn protein expression in plaque 558
cores, peripheral regions, and normal controls. G-H, Kaplan–Meier analyses depicting correlations 559
between FCGRT(FcRn) expression and the incidence of MACCE over a median follow-up period of 44 560
months ( G, Fuwai cohort) or 3000 days ( H, BiKE cohort). Data are presented as mean ± SEM. All 561
datasets were assessed for normality and equal variances. Kruskal-Wallis test combined with Dunn's post-562
hoc test was used for group comparisons. Survival analyses were performed using Kaplan–Meier method. 563
*p < 0.05, **p < 0.01, ***p < 0.001. See also Figures S1 and S2. 564
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Zahr et al. IgG propels atherosclerosis
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565
Figure 2. Immune profiling of FcRn and IgG expression in human carotid atherosclerotic plaques. 566
A, Schematic overview of the experimental design used to obtain scRNA-seq (n=21) and CITE-seq (n=6)567
datasets of human carotid atherosclerotic plaques for profiling FCGRT and IgG Fc expression. B,568
Uniform manifold approximation and projection (UMAP) of all cell types ide ntified within the collected569
plaque samples. C, UMAP showing FCGRT expression levels across all cell types identified within the570
collected plaque samples. The arrow highlights macrophage populations defined in the referenced study.571
D, Violin plot comparing median FCGRT expression across all macrophage clusters. E, Violin plot572
comparing median surface IgG Fc expression across all macrophage subclusters. F, UMAP of573
macrophages and dendritic cells (DCs) clusters colored by their phenotypic and functional chara cteristics574
sis
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6)
,
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Zahr et al. IgG propels atherosclerosis
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as depicted in the referenced study. pDC, plasmacytoid dendritic cell; cDC, conventional dendritic cell; 575
the T cell cluster represents residual cells. G, UMAP of the same clusters indicating the range of FCGRT 576
expression from scRNA-seq data. H, Violin plots showing median FCGRT expression across all 577
macrophage phenotype subclusters. I, UMAP of macrophage phenotype clusters (encircled) indicating the 578
range of surface IgG Fc expression from CITE-seq data. J, Violin plots showing median IgG Fc 579
expression across all macrophage phenotype subclusters. See also Figures S3. 580
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Zahr et al. IgG propels atherosclerosis
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581
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Zahr et al. IgG propels atherosclerosis
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Figure 3. Myeloid FcRn drives plaque IgG accumulation and atherosclerosis progression. 582
A, Representative immunohistochemistry (IHC) images showing IgG, IgM, and IgA staining in aortic 583
root lesions from Ldlr-/- mice fed a western diet (WD) for 16 weeks. Scale bar, 50 μm. Black dashed lines 584
delineate the intima encompassing a plaque-rich leaflet from the medial layer of the aortic root. B, 585
Quantification of the percentage of immunoglobulin-positive (Ig+) area within the intimal layer of the 586
aortic root (n=7, 7, 7). C, Immunofluorescent staining (IF) for FcRn and IgG in atherosclerotic lesions of 587
Ldlr-/- mice. Nuclei were stained with DAPI. Scale bars, 50 μm (left) and 25 μ m (right). White dashed 588
lines separate the intima (right) encompassing a plaque-rich leaflet from the medial layer (left) of the 589
aortic root. D, Ex vivo fluorescence imaging showing mouse IgG-Cy5 distribution in the aorta of 590
atherosclerotic mice and normocholesterolemic controls. E, Schematic of the bone marrow 591
transplantation (BMT) atherosclerosis model. Bone marrow cells from FcRn myeloid knockout (mKO) or 592
control mice were transplanted into Ldlr-/- recipients, which were then fed a WD for 16 weeks to induce 593
atherosclerosis after recovery. F, Plasma levels of IgG and IgM in control and mKO mice as determined 594
by western blotting (WB); LC = loading control (Coomassie Brilliant Blue). G-H, IgG protein levels in 595
the aortic arch of BMT atherosclerotic mice, as measured by WB ( G) and quantified in ( H) (n=4, 4). 596
HSP90 was used as a loading control. I, Representative IHC images of IgG staining in the aortic root 597
plaques from BMT mice. Scale bar, 100 μ m. J, Quantification of the IgG-positive area within the intima, 598
encircled in black (n=5, 5). K, Representative H&E staining of aortic root sections from mKO and control 599
BMT Ldlr-/- mice with atherosclerosis. Scale bar, 100 μm. L, Quantification of aortic root lesion area 600
(n=11, 10). M-N, Quantification of the necrotic core area ( M) and acellular area ( N) within plaques, as 601
delineated by the dashed circle in ( L) (n=11, 10). O, Total plasma cholesterol levels in mKO and control 602
BMT mice with atherosclerosis at sacrifice (n=11, 10). P, Immunostaining of IgG and IL-1 β in the intima 603
region (encircled in white) of aortic root lesions from BMT mice. Scale bar, 100 μm. DAPI was used for 604
nuclear staining. Q, Quantification of total IL-1 β + area out of the total intima region (n=8, 8). Data 605
represent mean ± SEM of independent biological replicates. All datapoints were assessed for normality 606
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Zahr et al. IgG propels atherosclerosis
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and equal variances. Statistical analyses were performed using One-way ANOVA in ( B). Two- tailed607
Student’s t-tests were used for comparisons between two groups. Mann-Whitney U test was used for608
lesion analyses that did not pass normality. **p < 0.01, ***p < 0.001. See also Figures S4-S5. 609
610
611
Figure 4. IgG activates NF-κB and the NLRP3 inflammasome in macrophages. 612
sis
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Zahr et al. IgG propels atherosclerosis
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A, Heatmap showing differentially expressed genes in BMDMs after 16-hr 100 μg/ml IgG treatment 613
(n=4, 4). Gene expression was calculated as log2FPKM and scaled as Z-scores. B, QPCR analysis of 614
inflammatory genes Il1b and Nos2 in RAW264.7 cells treated with IgG (100 μg/mL), boiled IgG (b-IgG, 615
100 μg/mL), or LPS (50 μg/mL) for 24 hours (hrs) (n=3/group). C, ELISA quantification of the amount 616
of secreted IL-1 β from cells in ( B) (n=7/group). D, WB of phosphorylated and total NF- κB in treated 617
cells as in ( B) and quantification of the ratio of phosphorylated NF- κB to total NF- κB (n=3/group). 618
HSP90 was used as the loading control. E-F, RAW264.7 cells were treated with IgG (100 μg/mL), b-IgG 619
(100 μg/mL), or LPS (50 μg/mL) for 15 minutes. Cells were fixed and stained with NF- κB (p65) and 620
CD68 as shown in ( E), and Quantification of the percentage of cells with nuclear NF- κB localization 621
based on images from (F) (n=5/group). Scale bar, 50 μm. G, QPCR analysis of Caspase1, Il1b and Nlrp3 622
in BMDMs treated with IgG (100 μg/mL), or LPS (50 μg/mL) for 24 hrs (n=5/group). H, QPCR analysis 623
of Nlrp3, Il1b, Tnfa, Inos and macrophage marker Adgre1(F4/80) in bone marrow-derived monocytes 624
treated with IgG (100 μg/mL) for 24 hrs (n=5/group). I, Representative IF images of BMDMs treated 625
with IgG (100 μ g/mL), LPS (50 μg/mL) and MCC950 (100 nM) for 24 hrs, followed by incubation with 626
Nigericin (10 μ M) for 30 minutes, and stained for ASC. Scale bar, 20 μ m, and the quantification of the 627
number of ASC specks per cell (n=8/group). DAPI was used for nuclear staining and cell counting. J, 628
Representative WB analysis of BMDMs treated with IgG (100 μ g/mL), LPS (50 μ g/mL), MCC950 (100 629
nM), or Licochalcone D (10 μ M) for 24 hrs, followed by Nigericin (10 μ M) for 30 minutes. Blots were 630
probed for NLRP3, IL-1 β , and IL-18. K, QPCR analysis of Nos2, Il1b, and Nlrp3 mRNA levels in WT 631
BMDMs transfected with siRNAs against mouse Fcgr1, Fcgr2b, Fcgr3, Fcgr4 or sham control(siNC). 632
These cells were treated with IgG (100 μ g/mL) for 24 hrs (n=4/group). *Compared with siNC group, 633
#compared with siNC+IgG group. Data represent mean ± SEM. All datasets were assessed for normality 634
and equal variances. One-way ANOVA with multiple comparisons and two-tailed Student’s t-tests for 635
pairwise group comparisons were used for statistical analysis. * /#p < 0.05, **/##p < 0.01, ***/###p < 0.001. 636
See also Figures S6. 637
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Zahr et al. IgG propels atherosclerosis
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638
Figure 5. IgG stimulates TLR4 signaling upstream of NF-κB. 639
A, Representative IF images of NF- κB (p65) and CD68 in RAW264.7 cells pretreated with TLR4640
inhibitor TAK242 (1 μ M), followed by IgG (100 μ g/mL) stimulation for 2 hrs. Scale bar, 50 μm. B,641
Quantification of percentage of nuclear NF-kB cells based on images from ( A) (n=5, 5, 3). C, QPCR642
sis
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R4
,
R
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Zahr et al. IgG propels atherosclerosis
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analysis of Il1b and Nos2 expression in cells treated as in (A) for 24 hrs (n=3/group). D, WB analysis of 643
phosphorylated and total NF-κ B in RAW264.7 cells treated as in ( C) and quantification of 644
phosphorylated NF-κB levels (n=3/group). HSP90 was used as the loading control. E, WB analysis of 645
pro-IL-1β , IL-1β in lysates from human THP-1 cells pretreated with TAK242 (1 μM) for 1 hr, followed 646
by 12-hour treatment with vehicle, IgG (100 μ g/mL) or hPD1 mAb (100 μg/mL). F, Quantification of 647
phospho-NF-κB intensity and the NF- κB p65 nuclear translocation based on IF images of BMDMs 648
pretreated with TAK242 (1 μM) for 1 hr, followed by 1-hr treatment with vehicle, IgG (100 μg/mL), IgG 649
Fab domain (20 μ g/mL), IgG Fc domain (100 μg/mL) as shown in Extended Data Figure 9A and 9B 650
(n=8/group). G, WB analysis of NLRP3, pro-IL-1 β , pro-IL-18 in lysates from BMDMs pretreated with 651
TAK242 (1 μM) for 1 hr, followed by 1-hr treatment with vehicle, IgG (100 μg/mL), IgG Fab domain (20 652
μg/mL), IgG Fc domain (100 μg/mL). H, Ex vivo fluorescence imaging showing mouse IgG Fc-Cy5 653
distribution in the aorta of control and atherogenic mice. I, WB analysis of streptavidin pull-downs from 654
TurboID-TLR4/MD2 co-transfected 293T cells. Cells were treated with vehicle or 100 μg/mL IgG for 12 655
hrs, 1 day post transfection. J, Surface plasmon resonance analysis of kinetic binding of human IgG 656
(hIgG) with human TLR4-MD2 complex. The titration of native IgG at concentrations from 10nM – 657
625nM. K, Quantification of percentage of cells with nuclear NF-kB localization from IF images shown 658
in (J) (n=6, 6, 7, 6). L, QPCR analysis of inflammatory gene expression in WT and TLR4 lps-del BMDMs 659
(n=4/group). *Compared with WT group, # compared with TLR4lps-del group. Data represent mean ± SEM. 660
All datasets were assessed for normality and equal variances. One-way ANOVA followed multiple 661
comparisons was used for statistical analysis. */#p < 0.05, **/##p < 0.01, ***/###p < 0.001. See also Figures 662
S7-S8. 663
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Zahr et al. IgG propels atherosclerosis
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664
Figure 6. IgG promotes macrophage foam cell formation through a TLR4/NF- κ B/LCN2 axis. 665
A, Representative IF images of Dil-oxLDL staining in BMDMs treated with Vehicle, IgG (100 μg/mL),666
LPS (50 μ g/mL) in the presence or absence of TAK242 (1 μM) for 18 hrs, followed by incubation with667
Dil-oxLDL (10 μg/mL) for 6 hrs. Cells were fixed and stained for imaging. Scale bar, 20 μ m. B,668
Quantification of Dil-oxLDL fluorescence intensity per cell from images in ( A) (n = 8 per group). C,669
sis
31
,
ith
B,
C,
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Zahr et al. IgG propels atherosclerosis
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Representative IF images of Dil-oxLDL in BMDMs treated with IgG (100 μg/mL) , LPS (50 μg/mL) , 670
MCC950 (100 nM), or Licochalcone D (10 μ M) for 18 hrs, followed by Dil-oxLDL (10 μg/mL) for 6 hrs. 671
scale bar, 20 μm. D, Quantification of Dil-oxLDL fluorescence intensity per cell from ( C) (n = 8 per 672
group). E, QPCR analysis of Lcn2 expression in BMDMs treated with oxLDL (50 μg/mL), followed by 673
IgG (100 μ g/mL), LPS (50 μg/mL) or TAK242 (1 μM) for 24 hrs (n=5, 5, 5, 3, 5, 5). F, Representative 674
WB analysis of BMDMs from ( E). LCN2 was probed. G, Representative IF images of Dil-oxLDL in 675
BMDMs treated with IgG (100 μg/mL), the LCN2 inhibitor ZINC00640089 (1 μ M), or recombinant 676
LCN2 (10 μ g/mL) for 18 hrs, followed by Dil-oxLDL (10 μ g/mL) for 6 hrs. Scale bar, 20 μ m. H, 677
Quantification of Dil-oxLDL fluorescence intensity per cell from images shown in ( G) (n = 8 per group). 678
I, Representative IF images of Dil-oxLDL in THP-1 cells treated with Vehicle, IgG (200 μg/mL), in the 679
presence or absence of Nipocalimab (10 μg/mL) for 18 hrs, followed by Dil-oxLDL (10 μg/mL) for 6 hrs. 680
J, Quantification of Dil-oxLDL fluorescence intensity per cell from ( I) (n = 6 per group). K, Proteomic 681
analysis of LCN2 protein levels in normal arteries, plaque periphery and core regions from the Fuwai 682
cohort. L, Kaplan–Meier curves showing the association between LCN2 expression and the incidence of 683
MACCE over a median follow-up period of 44 months from the Fuwai cohort. M, Kaplan–Meier curves 684
depicting the association between LCN2 and the incidence of MACCE over a median follow-up period of 685
3000 days from the BiKE cohort. Data represent mean ± SEM. All datasets were assessed for normality 686
and equal variances. Statistical comparisons were performed using One-way ANOVA with multiple 687
comparisons. *p < 0.05, **p < 0.01, ***p < 0.001. 688
689
690
691
692
Tables 693
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Zahr et al. IgG propels atherosclerosis
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Table 1. Baseline characteristics of coronary heart disease (CHD) patients and non-CHD controls. 694
Characteristics CHD (n=98)a Non-CHD (n=14) a P-value b
Age, y 65 (36-79) 45 (7-63) <0.001
Sex, male, n (%) 67 (68%) 9 (64%) 0.8
BMI, y 25.8 (18.9-37.4) 21.5 (13.8-27.5) <0.001
Hypertension, n (%) 74 (76%) 3 (21%) <0.001
Diabetes, n (%) 45 (46%) 5 (36%) 0.5
695
aMedian (Min-Max); n (%) 696
bWilcoxon rank sum test; Fisher’s exact test; Pearson’s Chi-squared test 697
698
Table 2. Median expression levels of FCGRT and IgG in macrophage (Mf) clusters 1-5. 699
Feature Mf1 Mf2 Mf3 Mf4 Mf5
FCGRT 2.18 1.73 0.00 1.45 2.03
IgG_Fc_ADT 2.03 1.52 1.09 1.14 2.01
700
701
Table 3. Median expression levels of FCGRT and IgG Fc in macrophage phenotype clusters. 702
Feature C1Qhi IL1Bhi Foamy 1 Apoptotic Foamy 2 Proliferative
FCGRT 2.19 1.79 1.77 1.28 2.31 1.02
IgG_Fc_ADT 2.07 1.61 1.72 1.23 1.89 1.40
703
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