Abstract
Background. Obesity disrupts type 2 immune cell populations in white adipose tissue, replacing the
homeostatic network of group 2 innate lymphoid cells (ILC2s), eosinophils, T helper 2 (Th2) cells, and
alternatively activated macrophages (AAMs) with pro -inflammatory type 1 populations. Whether this
remodelling reflects permanent immune impairment or a reversible shift in cellular equilibrium, and to
what extent bariatric surgery restores type 2 immunity, remain incompletely understood.
Methods. We performed comprehensive immunophenotyping of visceral white adipose tissue (WAT)
and peripheral blood from persons with severe obesity (people with obesity, PWO) scheduled for or
having undergone bariatric surgery (sleeve gastrectomy, gastric bypass), combined with lean controls.
Using flow cytometry, quantitative PCR, and in vitro polarization assays, we assessed immune cell
frequencies, transcription factor expression, cytokine profiles, and functional polarization capacity
across lean, pre-operative, and post-operative states.
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Results. Obesity was associated with decreased eosinophil and CD8 + T cells frequencies in WAT,
accompanied by an increase in CD4+ frequency and a shift from Th2 toward Th1 predominance, as well
as elevated PD-1 expression on T cell subsets. Bariatric surgery partially normalised peripheral immune
cell composition, reducing CD8 + T cell frequencies while increasing CD4 + T cells. Macrophage
polarization capacity, dampened in pre -operative PWO, recovered after surgery. Conversely, Th2
polarization capacity and IL-13 production were reduced in post -operative T cells despite preserved
function pre-operatively, indicating divergent trajectories of innate and adaptive immune reconstitution.
Conclusion. Type 2 immune cells retain functional plasticity in human obesity despite reduced
frequency. Bariatric surgery differentially reconstitutes immune function, restoring macrophage
plasticity while paradoxically reducing Th2 polarization capacity, arguing against uniform immune
normalisation after weight loss.
Funding: German Federal Ministry of Research, Technology and Space (BMFTR, FKZ 01KI2109),
Interdisciplinary Center for Clinical Research (IZKF, Faculty of Medicine, Friedrich -Alexander
Universität (FAU) Erlangen-Nürnberg).
Keywords
obesity, type 2 immunity, bariatric surgery, eosinophils, macrophage polarization
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Introduction
Obesity has reached epidemic proportions worldwide, with more than one billion individuals affected
in 2022 [1]. Th e excessive accumulation of adipose tissue poses a major risk factor for many life-
threatening comorbidities including type 2 diabetes mellitus, cardiovascular disease, certain types of
cancer, arterial hypertension, and sleep apnoea [1, 2]. The health burden of obesity challenges healthcare
systems globally, necessitating a deeper understanding of the underlying pathophysiological
mechanisms that link excess adiposity to metabolic and systemic disease.
White adipose tissue (WAT) has been recognized not merely as an inert energy storage depot but as a
dynamic endocrine and immunological orga n [3]. WAT harbo urs various resident immune cell
populations that play crucial roles in maintaining tissue homeostasis and metabolic health. These
immune cells constitute a substantial fraction of the stromal vascular compartment and engage in
complex bidirectional communication with adipocytes [4].
In lean healthy persons, adipose tissue maintains an anti-inflammatory microenvironment characterized
by type 2 immune cell populations, including group 2 innate lymphoid cells (ILC2s), eosinophils, T
helper 2 (Th2) cells, and alternatively activated macrophages (AAMs) [5-8]. These cells form an
integrated network: ILC2s secrete IL-5 and IL-13 to recruit and sustain eosinophils, which produce IL-
4 and IL-13 to polarize macrophages toward an alternatively activated phenotype [7, 8]. AAM support
insulin sensitivity, while Th2 cells and regulatory T cells (Tregs) reinforce the anti-inflammatory milieu
through additional IL-4, IL-13, and IL-10 secretion [9, 10]. The seminal study by Wu et al. demonstrated
that eosinophils are the major IL -4-expressing cells in murine WAT and are required for sustaining
AAMs associated with glucose homeostasis [8]. Subsequent work established ILC2s as critical upstream
regulators of this circuit, with IL -33-driven ILC2 activation maintaining eosinophil recruitment and
AAM polarization [11, 12].
Chronic overnutrition fundamentally disrupts this immune balance. Overweight and o besity trigger
adipocyte hypertrophy, cellular stress, and hypoxia, initiating a cascade of pro-inflammatory events [13,
14]. Type 2 immune cell frequencies decline substantially while pro -inflammatory populations ,
including classically activated macrophages (CAM s), CD8 + T cells, and Th1 cells , accumulate in
adipose tissue [15-18]. The landmark studies by Weisberg et al. and Xu et al. demonstrated that
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macrophages accumulate dramatically in obese adipose tissue, increasing from approx. 10% of the
stromal-vascular cells in lean up to 50% in obese individuals, and represent the primary source of pro-
inflammatory cytokines [13, 14] . Nishimura et al. subsequently showed that CD8 + effector T cell
infiltration into obese WAT precedes macrophage accumulation, establishing T cells as early drivers of
adipose inflammation [18].
This phenotypic shift from homeostatic type 2 toward pro-inflammatory type 1/3 immunity establishes
chronic low-grade inflammation that contributes to insulin resistance and metabolic dysfunction [19,
20]. Importantly, this inflammatory remode lling extends beyond adipose tissue to affect immune cell
populations systemically [21].
Within this framework, the PD-L1:PD-1 checkpoint has emerged as a critical regulator of adipose tissue
immune homeostasis. We previously demonstrated that PD-L1 on dendritic cells limits T cell-mediated
adipose tissue inflammation and ameliorates diet-induced obesity, establishing that immune checkpoints
can actively maintain the type 2 environment in lean adipose tissue [22]. Whether PD-1 expression on
T cell subsets in human adipose tissue inflammation reflects active immune regulation rather than
exhaustion during obesity remains an important question.
Bariatric surgery, including sleeve gastrectomy and gastric bypass surgery, induces substantial and
durable weight loss accompanied by remarkable metabolic improvements that often precede significant
weight reduction [23]. Emerging evidence indicates profound immune system effects following surgery,
including reduced T cell counts, decreased Th1/Th2 ratios, increased regulatory B cells, and improved
NK cell activity [24-26]. However, critical questions remain: Does surgery fully restore the type 2
immune landscape of lean adipose tissue? Do systemic changes parallel local adipose remode lling?
Recent murine studies by Cottam et al. reveal that adipose immune cells retain obesity -associated
phenotypes despite weight loss with weight regain further exacerbating inflammatory signatures [27].
The concept of an “immunological scar” - persistent reprogramming of innate immunity triggered by
past obesity - has been compellingly demonstrated by Hata et al. and Hinte et al., raising the question,
whether human bariatric patients achieve complete immune reconstitution or exhibit persistent
inflammatory imprints [28, 29].
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To address these gaps, we analy sed immune cell populations and functional responses in visceral
adipose tissue and peripheral blood from individuals with obesity before and after bariatric surgery, and
compared them to lean controls. We focussed on type 2 immune compartments - eosinophils, Th2 cells,
and AAMs - testing the hypothesis that obesity depletes these populations without irreversibly impairing
their functional capacity. Using flow cytometry, gene expression profiling, and in vitro polarization
assays, we characterised both cell frequencies and functional potential. Our findings reveal that despite
marked immune cell redistribution during obesity, type 2 immune cells retain robust functional
responses to appropriate stimuli , while b ariatric surgery induces partial but incomplete immune
normalization with substantial inter-individual variation.
Results
Obesity remodels the immune cell landscape in visceral adipose tissue
To investigate the impact of obesity on resident immune cell populations, we performed flow cytometric
analysis of the stromal -vascular fraction (SVF) from visceral WAT biopsies obtained during surgery
from lean healthy controls (n=8) and people living with obesity (PWO; n=12). Clinical characteristics
of our cohort are summarised in Supplemental Table 1.
Analysis of innate immune populations revealed that eosinophil (CD66b +Siglec-8+) frequencies were
significantly (p<0.05) reduced in WAT of PWO compared to lean controls, consistent with published
murine and human data demonstrating eosinophil depletion in obese adipose tissue ( Fig. 1A) [8, 30].
Neutrophil (CD66b+Siglec-8-) and B cell (CD3-CD19+) frequencies showed a trend toward elevation in
PWO but did not reach statistical significance. Monocyte (CD14 +CD3-CD19-) frequencies were
comparable between groups, with considerable interindividual variability.
Within the adaptive immune compartment, CD8 + T cells were significantly decreased in WAT from
PWO (p<0.05), while CD4+ T cells showed a significant increase relative to lean controls (p<0.05) (Fig.
1A). Detailed T cell subset analysis revealed a shift consistent with inflammatory polarization during
obesity (Fig. 1B). Th1 cells, identified by TBET expression, were elevated in WAT from PWO. Notably,
PD-1 expression on both Th1 and Th2 cells was detectable, with PD-1+ Th1 and PD-1+ Th2 populations
showing trends toward differential regulation in obesity.
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We further confirmed the metabolic and inflammatory remodelling associated with obesity by transcript
analysis of whole WAT (Fig. 1C). Resistin and leptin expression were elevated in PWO, consistent with
adipocyte hypertrophy and metabolic dysfunction. Adiponectin, a marker of healthy adipose function,
trended lower in PWO. Peroxisome proliferator -activated receptor γ (PPARγ) expressio n, a key
transcriptional regulator of adipogenesis and adipose tissue macrophage differentiation, showed a trend
toward redu ction in obesity. IL -13, a canonical type 2 cytokine, was reduced in PWO, while TNF
expression was modestly elevated, indicating the shift from an anti-inflammatory to a pro-inflammatory
tissue milieu.
Circulating immune cell populations reflect systemic inflammation in obesity and partially normali se
after bariatric surgery
We next examined whether immune alterations in obesity extend to circulating immune cells and
assessed the impact of bariatric surgery on immune reconstitution. Flow cytometric analysis of
peripheral blood from lean controls, pre -operative PWO, and post -operative PWO revealed distinct
differences across groups (Fig. 2A).
Blood eosinophil frequencies showed variability across groups, with significant elevation in post -
operative PWO compared to pre -operative PWO and lean controls. Neutrophil frequencies showed a
high degree of interindividual variability. Monocytes showed a trend toward increased frequencies in
pre-operative PWO, which returned to level s of lean controls post -surgery. Circulating B cell
frequencies did not differ significantly between groups (Fig. 2A).
Within the T cell compartment, total T cell frequencies were comparable across groups, but important
subset-specific changes emerged (Fig. 2B). Circulating CD8+ T cell frequency was comparable between
lean controls and pre-operative PWO, but decreased significantly (p<0.05) following bariatric surgery.
Conversely, CD4 + T cells increased after surgery. Interestingly, Th2 cells, identified by CRTH2
expression, showed a trend toward elevation post-surgery.
Paired analysis of pre - and post-operative blood samples ( Supplemental Figure 1, n=2) showed that
individual patients showed consistent decreases in neutrophil frequencies following surgery -induced
weight loss. However, change s in eosinophils, T cells and B cells varied substantially between
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individuals, suggesting that immune reconstitution following bariatric surgery is heterogeneous and may
depend on additional factors, such as degree of weight loss, metabolic improvement, and baseline
immune status.
T cells from PWO retain full capacity for Th2 polarization
Having observed altered T cell subset distribution in obesity, we investigated whether functional
polarization capacity was affected. We isolated na ive CD4 + T cells from the non -adherent cellular
fraction of peripheral blood, activated them with anti-CD3/CD28 beads and IL-2, and cultured cells in
Th1- or Th2-polarizing conditions for five days (Fig. 3A).
Gene expression analysis of polarized T cells revealed robust and equivalent functional responses across
groups (Fig. 3B). Th1 polarization induced marked upregulation of IFN-γ mRNA in cells isolated from
lean, pre-operative and post -operative donors, with no significant difference between lean and PWO
groups. TBET expression similarly increased following Th1 polarization , confirming intact Th1
programming. Critically, Th2 polarization was equally preserved. IL -13 mRNA was significantly
upregulated upon IL-4 stimulation with comparable induction in lean, pre-operative, and post-operative
PWO cells. GATA3, the master transcription factor for Th2 differentiation, was significantly induced
by IL-4 (p<0.05), with no impairment in PWO-derived T cells. Post-operative samples showed a trend
towards reduction in Th2 polarization , indicating that surgical weight loss may reduce this functional
property.
Flow cytometric validation confirmed the gene expression findings ( Fig. 3C). TBET and GATA3
protein expression among CD4+ T cells reflected the expected polarization patterns, with no deficit in
pre-OP PWO-derived cultures and reduced GATA3-expression in post-operative T cells. Interestingly,
PD-1 co-expression with TBET returned to lean levels in T cells derived from post-OP donors, while in
GATA3+ T cells expression remained elevated. In order to assess functionality of polarized T cell
subsets, we measured cytokine production by ELISA (Fig. 3D). IL-13 secretion from Th2 -polarized
cells was comparable between lean controls and pre-OP PWO, demonstrating that the type 2 cytokine
production machinery remains intact in T cells from PWO. Importantly, after surgery, we consistently
observed reduced GATA3 expression and limited production of IL-13 after Th2 polarization.
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Eosinophils from PWO maintain robust IL-5 responsiveness
Eosinophils play critical roles in type 2 immunity and adipose tissue homeostasis [8, 30, 31]. We isolated
blood eosinophils from lean controls and PWO and characterized their responses to IL -5, a key
eosinophil survival and activation factor (Fig. 4).
Gene expression analysis demonstrated that eosinophils from PWO maintained robust responses to IL-
5 stimulation. CCR3, a chemokine receptor mediating eosinophil tissue recruitment, was expressed
across all groups with lower expression in IL -5 stimulated cells from PWO . IL-13 showed variable
expression levels with maintained responsiveness in PWO. CD44, an activation marker associated with
tissue-resident eosinophils, and CSF2 (GM -CSF), which is expressed mainly by inflammatory
eosinophils, were expressed across all groups with no significant impairment in PWO (Fig. 4).
These findings indicate that despite systemic inflammation in obesity, the core eosinophil functional
programs, including chemokine receptor expression, type 2 cytokine production, and survival signalling,
remain intact and responsive to IL-5-induced activation ex vivo.
Monocyte-derived macrophages from PWO retain AAM polarization capacity with persistent CAM bias
Adipose tissue macrophages are key mediators of obesity-induced inflammation. To determine whether
circulating monocytes from PWO have altered polarization capacity, we generated monocyte -derived
macrophages in vitro and exposed them to CAM-polarizing (LPS+IFN-γ) or AAM-polarizing (IL-4)
stimuli (Fig. 5A).
Unexpectedly, analysis of the CAM-associated marker TNF revealed a trend toward elevated expression
in lean macrophages (Fig. 5B). IFN-γ-stimulation led to increased TNF transcript levels in macrophages
from lean controls compared to pre -operative PWO. After surgery, macrophages regained
responsiveness toward IFN -γ stimulation. Similarly, IRF1, a key IFN -γ signalling mediator, showed
regained upregulation following bariatric surgery.
Analysis of the canonical AAM marker CD206 (mannose receptor) demonstrated that IL-4 induced
substantial upregulation in macrophages from lean controls (Fig. 5C). Macrophages derived from pre-
OP PWO showed decreased capacity to respond to IL-4, with lower expression of CD206 and CD200R.
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However, following bariatric surgery both AAM markers were significantly increased compared to pre-
operative samples.
Collectively, these results demonstrate that macrophages derived from pre -operative PWO show
decreased polarization capacity both toward CAM and AAM subsets. Importantly, post-bariatric surgery
macrophages regained responsiveness towards cytokine stimulation.
Discussion
This study provides a comprehensive analysis of type 2 immune cell frequencies and functional capacity
in human obesity and following bariatric surgery. Our key finding is that despite marked alterations in
type 2 immune cell populations in visceral adipose tissue and peripheral blood during obesity, the core
functional machinery of Th2 cells and eosinophils remains intact, while macrophages become
unresponsive to cytokine mediated polarization in vitro. Bariatric surgery partially normalises immune
cell composition but does not fully restore the lean immune phenotype within the timeframe examined.
These observations have important implications for understanding obesity -associated immune
dysfunction and for developing targeted immunomodulatory therapies.
Type 2 immune circuit disruption in human adipose tissue
Our observation of reduced eosinophil frequencies in obese WAT aligns with the growing body of
evidence establishing eosinophils as critical regulators of adipose tissue homeostasis. Wu et al.
demonstrated that eosinophils sustain AAMs in adipose tissue an d that their absence exacerbates
metabolic dysfunction [8]. More recently, Hernandez et al. reported significantly reduced adipose tissue
eosinophil content in humans with obesity, with concurrent decreases in IL -4 expression and eotaxin
family members [30]. Our data extend these observations by demonstrating that eosinophil depletion
occurs alongside a broader restructuring of the WAT immune landscape, including decreased CD8 + T
cells and a shift from Th2 toward Th1 predominance.
The concurrent decrease of CD8+ T cells in obese WAT contrasts with the seminal finding by Nishimura
et al. that CD8+ effector T cell infiltration precedes macrophage accumulation in murine adipose tissue
[18]. Our data indicate that in established human obesity, CD8 + T cell numbers decline while CD4 + T
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cells accumulate - a pattern that may reflect species-specific differences, the chronicity of human obesity
compared to short -term murine high -fat diet models, or T cell exhaustion and apoptosis in the
chronically inflamed tissue milieu. Porsche et al. recently described adipose tissue T cell exhaustion in
human obesity [32], which could account for the decreased CD8+ compartment we observe. The elevated
PD-1 expression on both Th1 and Th2 cells in our WAT data connects to our prior work demonstrating
that the PD -L1/PD-1 axis on dendritic cells restrains T cell -mediated adipose inflammation [22], and
supports a model in which checkpoint engagement is actively attempting to limit ongoing inflammatory
damage.
Preserved Th2 and eosinophil functional capacity as a therapeutic opportunity
The central translational finding of our study is that Th2 cells and eosinophils from individuals with
obesity retain robust functional capacity when provided with appropriate polarizing signals in vitro. This
challenges a deterministic view of obesity -associated immune dysfunction and supports a model in
which the local microenvironment, rather than irreversible cellular reprogramming, is the primary driver
of impaired type 2 responses.
For T cells, our demonstration that naive CD4 + cells from pre -operative PWO undergo normal Th2
polarization with equivalent IL -13 and GATA3 induction is notable. The metabolic milieu in obese
adipose tissue is characterised by high leptin, low adiponectin, elevated free fatty acids, and IFN -γ
dominance and may suppress Th2 differentiation through mTORC1 activation and inhibition of GATA3
transcription [20, 33]. Winer et al. demonstrated that adoptive transfer of CD4 + T cells with intact Th2
capacity can reverse insulin resistance in obese mice [10]. Our data suggest that this approach may be
feasible in humans, as the cellular machinery for Th2 responses remains intact in established obesity.
Intriguingly, post-operative T cells showed reduced Th2 polarization capacity with decreased GATA3
expression and IL-13 production, suggesting that surgical weight loss and the associated metabolic shifts
may paradoxically diminish type 2 immune polarization capacity, which warrants further investigation.
For eosinophils, maintained IL -5 responsiveness with preserved CCR3, IL -13, and CSF2 expression
indicates that the eosinophil activation programme remains functional. Calco et al. have emphasised that
eosinophil function, rather than number alone, is the c ritical determinant of metabolic outcomes [31].
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Thus, therapeutic strategies to increase eosinophil numbers in the WAT of PWO may merit further
investigation as we now show that ex vivo eosinophils retain their function.
Macrophage hyporesponsiveness in obesity and recovery after bariatric surgery
In contrast to the preserved functional capacity of Th2 cells and eosinophils, monocyte -derived
macrophages from pre-operative PWO showed a striking reduction in polarization capacity toward both
CAM and AAM phenotypes. This functional dampening - with reduced TNF induction upon IFN -γ
stimulation and impaired CD206 and CD200R upregulation upon IL -4 exposure - suggests a state of
macrophage tolerance or exhaustion rather than the enhanced inflammatory priming classically
attributed to obesity. This finding i s unexpected in light of the trained immunity framework, in which
metabolic signals such as oxidised LDL and saturated fatty acids are thought to enhance innate immune
responsiveness through epigenetic reprogramming [34, 35]. One possible explanation is that the chronic
exposure of monocytes to inflammatory mediators in established obesity induces a tolerogenic state
analogous to endotoxin tolerance, in which prolonged stimulation leads to functional
hyporesponsiveness rather t han priming [36, 37] . Consistent with this interpretation, a recent study
demonstrated that palmitic acid and conditioned medium from obese adipose tissue induce TLR4 -
dependent trained immunity in bone marrow -derived macrophages, an effect that was abolished by
methyltransferase inhibition [38]. The discrepancy between trained immunity induced by acute lipid
exposure and the functional dampening we observe in monocyte-derived macrophages from PWO with
long-standing obesity suggests that chronic metabolic stress may push macrophages past the prim ing
window into a tolerogenic state. Alternatively, the in vitro differentiation protocol , which removes
monocytes from their inflammatory milieu for six days of M -CSF-driven maturation, may unmask an
intrinsic functional deficit that is partially compensa ted in vivo by the abundant inflammatory signals
present in obese tissue.
Importantly, macrophages derived from post -operative PWO regained cytokine responsiveness, with
restored TNF induction upon IFN-γ stimulation and improved CD206 upregulation upon IL-4 exposure.
This recovery of macrophage plasticity following weight loss s uggests that the obesity -associated
dampening of macrophage function is at least partially reversible and may be driven by circulating
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factors, such as elevated leptin, insulin, or free fatty acids, that resolve following bariatric surgery. The
differential trajectory of macrophages compared to T cells after surgery (macrophage recovery versus
reduced Th2 capacity) highlights the distinct mechanisms governing innate versus adaptive immune
reconstitution and argues against a uniform model of post-surgical immune normalisation.
Incomplete immune reconstitution following bariatric surgery
Bariatric surgery partially normalised peripheral immune cell composition in our cohort, with notable
changes in CD8 + and CD4+ T cell frequencies. These findings are consistent with CyTOF analysis of
morbidly obese following surgery, who reported that naïve T cells did not fully recover within 9 -11
months after surgery [24], and with Wijngaarden et al., who found that T cell differentiation profiles
and cytokine-producing capacity remained altered despite B cell normalisation [26]. The substantial
interindividual variability in paired analyses underscores that immune reconstitution following bariatric
surgery is heterogeneous and likely depends on the degree of weight loss, metabolic improvement,
duration of prior obesity, and baseline immune status.
The concept of an “immunological scar” from obesity has gained support from recent studies. Hata et
al. demonstrated that diet -induced obesity triggers persistent epigenetic reprogramming of the innate
immune system through stearic acid and TLR4 signalling [28], and Hinte et al. showed that human
adipose tissue retains transcriptional and epigenetic alterations even years after bariatric surgery [29].
Most recently, the adipose niche at single-nucleus resolution across lean, obese, and weight-loss states
was mapped and the study found that senescence in adipocyte progenitors and vascular cells is potently
reversed by weight loss, whereas other cellular and molecular alterations persist [39]. Cottam et al. used
CITE-seq to demonstrate that obesity -induced imprinting of adipose immune cells persists through
weight loss, with impaired recovery of Tregs and ILC2s [27]. Our data add a nuanced perspective: while
the immunological scar may alter macrophage responsiveness and tissue immune cell composition, the
intrinsic Th2 and eosinophil differentiation potential appears resistant to permanent reprogramming.
This distinction has therapeutic implications: interventions that shift the local microenvironment toward
type 2-favouring conditions may be sufficient to re-engage the preserved functional capacity of immune
cells without requiring reversal of epigenetic changes.
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Limitations
Several limitations warrant consideration. Lean WAT controls were obtained from patients undergoing
elective abdominal surgery rather than healthy volunteers, representing the standard approach given that
obtaining WAT from truly healthy individuals is ethically not feasible [30]. The age difference between
lean controls (mean 30. 6 years) and PWO (mean 48.0 years) is a potential confounder, though age -
related immunosenescence would bias against our key finding of preserved Th2 capacity [40]. Paired
pre- and post-operative analyses were limited to a subset of patients; prospective studies with extended
follow-up are needed to capture the full kinetics of immune reconstitution. In vitro polarization assays
assess maximum differentiation capaci ty under supraphysiological conditions and may not fully
recapitulate the in vivo milieu.
Conclusions
Our data support a model in which obesity creates a quantitative deficit in type 2 immune cells and
induces macrophage hyporesponsiveness without abolishing the intrinsic functional potential of Th2
cells and eosinophils. Bariatric surgery differentially r estores immune function through recovering
macrophage plasticity, while paradoxically reducing Th2 capacity. Strategies to boost type 2 immunity,
such as IL-33 administration, eotaxin pathway modulation, or GLP -1 receptor agonists with emerging
immunomodulatory properties [41], represent promising avenues for complementing the metabolic
benefits of bariatric surgery. The preserved functional plasticity of type 2 immune cells provides a
rational foundation for such approaches.
Methods
Study design and participants
Ethics declaration
This study was conducted in accordance with the Declaration of Helsinki and approved by the local
ethics committee. All participants provided written informed consent prior to enrolment. Participation
was voluntary and without financial compensation.
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Patient cohorts
In collaboration with the Adipositaszentrum Erlangen, we enrolled 33 patients from the clinic and 29
control individuals following provision of written informed consent. Twenty -five patients were
diagnosed with severe obesity (BMI ≥35 kg/m 2, grade II, or ≥40 kg/m2, grade III) and were scheduled
for bariatric surgery or had previously undergone bariatric surgery. These individuals are referred to as
people with obesity (PWO). Surgical procedures included sleeve gastrectomy (n=14), gastric bypass
(n=8), sleeve gastrectomy revision (n=2), and intragastric balloon explantation (n=1).
The mean age of the PWO cohort was 48.0 ± 8.9 years. Mean weight before surgery was 171.32 ± 34.6
kg (BMI 54.3 kg/m2) and decreased to 132.3 ± 22.5 kg (BMI 43.6 kg/m 2) after surgery, corresponding
to a mean weight reduction of 32.00 ± 14. 1 kg ( -10.2 kg/m2 BMI). The cohort exhibited expected
obesity-related comorbidities, including arterial hypertension (60.0%), exertional dyspnoea or obesity-
hypoventilation syndrome (32.0%), orthopaedic disorders (68.0%), and metabolic disorders , such as
type 2 diabetes (40.0%) (Supplemental Table 1).
For the control group, blood samples were obtained from 14 male and 15 female individuals aged 22 -
61 years (mean 30.6 ± 5.9 years) with a BMI <30 kg/m² (mean 23.5 ± 2. 6 kg/m2). Non-obese controls
had no documented metabolic disorders or chronic inflammatory conditions.
For each donor, we aimed to perform the full panel of analyses; however, limited sample volumes,
particularly for adipose tissue biopsies and pre -operative blood draws, precluded all assays in every
individual, resulting in variable sample sizes across experiments.
Sample collection and preparation
Visceral adipose tissue
Visceral adipose tissue was obtained during laparoscopic surgery, stored in Ringer´s solution at 4°C,
and processed within 24 hours. A total of 12 samples were collected from PWO, and 8 samples were
obtained from lean individuals who underwent either reflux surgery (n=6) or gastric pacemaker
implantation (n=2). The lean cohort had a mean age of 57.0 ± 20.0 years (range 27-86 years) and a mean
BMI of 24.33 ± 3.1 kg/m2.
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Adipose tissue was weighed and divided using sterile scissors for downstream analyses. 0.1 -0.2 g of
tissue was snap-frozen in liquid nitrogen and stored at -80°C for subsequent gene expression analysis
via quantitative PCR. An equal amount was transferred into a 50 ml Falcon tube containing 5 ml of
complete RPMI medium. The tissue was mechanically minced with scissors, and 100 µl of Collagenase
D (50 mg/ml; final concentration: 1 mg/ml) was added for enzymatic digestion. Samples were incubated
at 37°C for 45 min with shaking at 200 rpm. Following digestion, the cell suspension was passed through
a 100 µm cell strainer, centrifuged, and red blood cells were lysed using ammonium-chloride-potassium
(ACK) lysis. The remaining cells were counted, resuspended at a concentration of 0.5 × 10 6 cells per
100 µl, and transferred to a FACS staining plate for subsequent staining.
Peripheral blood samples
Blood samples were collected from PWO at two time points: the initial blood sample was collected
within one year prior to surgery and designated the pre -operative sample (median 43 days before
surgery; range 2-344 days). The post-bariatric sample was collected between six months and 18 months
after surgery (4 samples >18 months) , designated the post -operative sample ( median 334 days after
surgery; range 220 -2450 days ). At each time point, 23.5 ml of EDTA -anticoagulated blood (S -
Monovetten Kalium-EDTA, Sarstedt) was collected and processed within 24 hours. For the control
group, 20 ml citrate -anticoagulated blood (S -Monovette Citrat 9NC, Sarstedt) was collected and
processed within 24 hours of collection.
Whole blood immune cell isolation
In order to analyse blood immune cell distribution, 2 ml of anticoagulated blood was transferred to a 15
ml centrifuge tube (Corning or Sarstedt) and centrifuged (5 min, 400 × g, room temperature [RT]). After
removal of plasma, the remaining pellet was res uspended in Dulbecco's phosphate -buffered saline
(DPBS; DPBS w/o Ca 2+ and Mg2+, PAN Biotech) to a final volume of 5 ml. Subsequently, the cell -
DPBS mixture was mixed with an equal volume of 3% dextran solution (Dextran 500, Roth) and
incubated at RT for 30 minutes to sediment erythrocytes. Following two rounds of ACK lysis, cells were
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resuspended in 200 µl RPMI medium (Roswell Park Memorial Institute [RPMI] 1640 Medium,
Gibco/Life Technologies) for subsequent flow cytometric staining.
Isolation of peripheral blood mononuclear cells
Peripheral blood mononuclear cells (PBMCs) were isolated from 15 ml of anticoagulated blood using
density gradient centrifugation. After incubation with 3% dextran solution, the erythrocyte -depleted
supernatant was diluted with DPBS to a total volume of 35 ml and carefully layered on top of 15 ml
Biocoll (Bio&Sell, Feucht, Germany) in a fresh 50 ml tube. Density gradient centrifugation was
performed at 1,000 × g for 15 min at RT without brake. After centrifugation, the plasma layer was
discarded, and the thin white interphase containing leukocytes was carefully collected and washed twice
with PBS to improve purity. Cells were counted and resuspended at 1 × 10 7 cells per 500 µl in human
dendritic cell (hDC) medium (RPMI 1640 supplemented with 1% HEPES (pH 7.3), 1% human serum
albumin (hSA), 1% L -glutamine, 1% penicilllin-streptomycin) for monocyte and T cell isolation, or
cryopreservation. For cryopreservation, cells were centrifuged and resuspended in 500 µl 20% human
serum albumin (hSA) in a cryo-tube, then incubated for 10 min on ice. Subsequently, 500 µl of freezing
medium (55% hSA, 25% Glucose 40%, 20% dimethyl sulfoxide (DMSO)) was added, the tubes were
wrapped in paper, and stored at −80°C.
Monocyte-derived macrophages
Monocytes were isolated based on their adherent behaviour. A total of 500 µl of the PBMC suspension
was mixed with 1,500 µl hDC medium in 6-well plates (Thermo Scientific) and incubated for 75 min at
37°C and 5% CO 2. Afterwards, non-adherent cells were removed and placed on ice for subsequent T
cell isolation. Each well was washed three times with 2 ml RPM I. To induce differentiation into
macrophages, adherent monocytes were cultured in 2 ml human macrophage medium ( RPMI 1640
supplemented with 1% HEPES (pH 7.3), 1 0% hSA, 1% L -glutamine, 1% penicillin-streptomycin)
supplemented with 20 ng/ml macrophage colony -stimulating factor (M -CSF) for 6 days (37°C, 5%
CO2). On day 3, 500 µl of fresh M-CSF-containing medium was added to each well.
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Following the 6-day incubation period, during which monocytes differentiated into macrophages, cells
were detached from the plate, washed, counted and seeded into 96 -well flat-bottom plates (Thermo
Scientific) at a concentration of 2×10 6/ml. Cells were either left unstimulated (control), or stimulated
with interferon-γ (IFN-γ, 10 ng/ml) or interleukin -4 (IL-4, 250 U/ml). After 24h, supernatants were
collected and stored at -20°C, and cells were harvested for gene expression analysis and flow cytometry.
T cell isolation and polarization
CD4⁺ T cells were magnetically isolated from the non -adherent cellular fraction using the Mojosort
Human CD4 Naïve T Cell Isolation Kit (BioLegend) according to the manufacturer’s protocol.
2 × 105 naïve T helper cells (>95% purity) were activated with 4 × 106 Dynabeads Human T-Activator
(Thermo Scientific) and 40 ng/ml recombinant human IL-2 (ImmunoTools, 20 µg/ml). Cells were either
left unstimulated or supplemented with 20,000 U/mL IL -4 (Miltenyi Biotec, 2x10^5U/ml) for Th2
polarization, or 8 ng/ml IL-12 (Peprotech, Fisher Scientific, 10 µg/ml) and 10 µg/ml anti-IL-4 (BioCell,
5,72 mg/ml) antibodies for Th1 polarization. On day 3, half the medium was replaced with fresh IL -2-
containing hDC medium. After 5 days of incubation (37°C, 5% CO₂), supernatants were collected and
stored at −20°C, and cells were harvested for gene expression analysis and flow cytometry staining.
Eosinophil isolation
To isolate eosinophils, the EasySep Direct Human Eosinophil Isolation Kit (StemCell Technologies)
was used according to the manufacturer's protocol. The purified cells were counted and resuspended in
eosinophil culture medium (RPMI 1640 supplemented with 20% fetal calf serum (FCS), 25 mM HEPES,
1% penicillin-streptomycin, 2 mM L-glutamine, 10 mM ß-mercaptoethanol, 10 mM non-essential amino
acids). Isolation purity was assessed by flow cytometry (purity >95%). 105 eosinophils were seeded per
well and stimulated with either 20 ng/ml IL -5 (R&D Systems) or left untreated. After 24 h (37°C, 5%
CO₂), eosinophils were harvested in 300 µl RNAprotect Cell Reagent (Qiagen) for downstream RNA
analysis. For histological analysis, eosinophils were cultured in chamber slides using the same culture
conditions.
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Flow cytometry
For flow cytometry analysis, 106 cells were stained with Zombie aqua fixable dye (BioLegend) in PBS
for 30 minutes at 4°C. Cells were washed with PBS buffer. Surface staining was performed using
antibodies listed in Supplemental Table 2 diluted in FACS buffer (PBS, 2% FCS (Sigma Aldrich) and
NaN3) and incubated for at least 30 minutes at 4°C.
For subsequent transcription factor staining in T cells, surface -stained cells were fixed and
permeabilized using FoxP3 staining buffer kit (Thermo Scientific). After incubation for 30 min at 4°C,
cells were washed with Perm/Wash buffer diluted 1:10 in PBS. Cells were stained overnight (4°C) with
antibodies listed in Supplemental Table 2 diluted in Perm/wash buffer. Cells were washed, filtered
through a 100 µm nylon mesh ( Franz Eckert GmbH ), and acquired on a BD LSRFortessa flow
cytometer.
Gene expression analysis
RNA was isolated from eosinophils using the RNeasy Mini kit (Qiagen), or from T cells and
macrophages using phenol/chloroform extraction with TRIzol Reagent (Thermo Scientific).
Concentration and purity were measured using a NanoDrop spectrophotometer (Thermo Scientific). For
each sample, a total of 500 ng RNA was reverse transcribed into cDNA using the High-Capacity Reverse
Transcription Kit (Thermo Scientific) according to the manufacturer's instructions. Real -time
quantitative PCR was performed on a ViiA 7 Real-Time PCR System (Applied Biosystems) using the
SYBR Select Mastermix kit (Applied Biosystems) according to the manufacturer’s protocol. Primer
sequences are listed in Supplemental Table 3. 18S ribosomal RNA (18S rRNA) or ribosomal protein
13A (RPL13A) were used as housekeeping genes.
Enzyme-linked immunosorbent assay (ELISA)
To quantify secreted cytokines from stimulated T cells Human IL -13 ELISA Development Kit
(Peprotech, Fisher Scientific) was used according to the manufacturer's instructions. Optical density was
measured at 450 nm (Molecular Devices Spectramax 340PC). All samples were analysed in duplicate
and quantified against the standard curve.
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Statistical analysis
All data are presented as mean ± standard error of the mean (SEM) unless stated otherwise. Outliers
were identified using the ROUT method (Q=1%) and excluded from analysis when appropriate.
Normality of data distribution was assessed with the Shapiro -Wilk test. For comparisons between two
groups, unpaired Welch´s t -test or Mann-Whitney U test was used. For paired samples (pre- vs. post-
operative), paired t -test or Wilcoxon matched -pairs signed rank test was applied. For comparisons of
stimulated vs. unstimu lated conditions within the same donor, paired tests were used. All statistical
analyses were performed using Prism version 9.0 (GraphPad Software, San Diego, CA). P-values < 0.05
were considered statistically significant (*, p<0.05; **, p<0.01; ***, p<0.001; ****, p<0.0001).
Acknowledgements
We thank all patients and volunteers for their participation, the team of the Adipositaszentrum Erlangen
PD Dr. Christian Krautz for providing bariatric samples, Doris Wansch and Frederieke Eschenbacher
for all their work from recruiting patients to blood sample and skin swab collection. We thank C. Bogdan
for continuous support and reagents. Furthermore, we thank D. Vöhringer and U. Schleicher for
reagents. Jochen Mattner and Stefan Wirtz for their scientific input.
Funding: J.G., A.D., I.H., and C.S. are supported by the Federal Ministry of Research, Technology and
Space (BMFTR 01KI2109). J.G. is supported by the Interdisciplinary Center for Clinical Research
(IZKF, MD -Thesis Scholarships, Faculty of Medicine , Friedrich-Alexander University (FAU)
Erlangen-Nürnberg).
Author contributions
J.G. designed, performed and analysed experiments. A.D. and M.W. contributed to specific experiments.
I.H. co-supervised and analysed experiments, wrote and revised the manuscript. C.S. conceptualized the
study; designed, supervised and analysed experiments; and wrote and revised the manuscript.
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Figure 1. Obesity alters the immune cell composition within visceral adipose tissue. Visceral white
adipose tissue (WAT) biopsies were obtained during surgery from lean healthy controls (n=8) and
people living with obesity (PWO; n=12). A, B) Flow cytometric analysis was performed on the stromal-
vascular fraction (SVF) of the WAT biopsies. C) Using qRT-PCR, the gene expression of Resistin
(RETN), Leptin ( LEP), Adiponectin ( ADIPOQ), Peroxisome proliferator -activated receptor gamma
(PPARG), Interleukin-13 (IL13) and Tumor Necrosis Factor (TNF) was analyzed. Relative expression
was calculated using the 2 -ΔCt method, with human 18S rRNA as a housekeeping gene. Mean ± SEM.
Statistical outliers were identified and excluded using the ROUT method (Q=1%) in GraphPad Prism.
*, p < 0.05; Mann-Whitney or Welch´s t test.
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Figure 2 . Circulating immune cell populations differ in obesity and normalize partially after
bariatric surgery. A, B) Flow cytometric analysis of blood immune cells from anti -coagulated blood
after depletion of erythrocytes with dextran and ACK lysis. Samples from lean, healthy donors (n=12)
were compared to blood samples from PWO collected before (pre-OP; n=6) and 6 months after bariatric
surgery (post-OP; n=8). Mean ± SEM. Statistical outliers were identified and excluded using the ROUT
Method
(Q=1%) in GraphPad Prism. *, p < 0.05; Mann-Whitney or Welch´s t test.
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Figure 3. Th2 polarization potential is preserved in T cells derived from PWO.
A) Schematic depiction of CD4⁺ T cell isolation and stimulation. Unstimulated cells cultured with IL-2
alone were included as a control. B) Expression of Interferon-γ (IFNG) and T-box transcription factor
21 (TBET) in Th1 -polarized cells and IL-13 and GATA binding protein 3 ( GATA3) in Th2 -polarized
cells. Graphs show the relative expression of genes (2-ΔCt) normalised to 18S rRNA. Untreated cells from
lean donors (n=15-20) were compared with polarized cells from lean donors (n= 10-21), PWO before
(pre-OP; n=3-7) and PWO after (post-OP; n=5-10) bariatric surgery. C) Flow cytometric analysis was
performed from polarized cells. Relative protein expression from lean donors (n=4-9), pre- (n=3-4) and
postoperative (n=2-5) patients are displayed. D) IL-13 secretion by Th2-polarized T cells was quantified
by ELISA. Optical density (OD) was measured at 450 nm and compared between lea n, pre- and post-
operative samples (n=7-20). Mean ± SEM. Statistical outliers were identified and excluded using the
ROUT method (Q=1%) in GraphPad Prism. ****, p < 0.0001; ***, p < 0.001; **, p < 0.01; *, p<0.05;
One-Way ANOVA or Kruskal-Wallis-Test.
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Figure 4. Eosinophil function and responsiveness to IL-5 are not impaired during obesity.
Eosinophils were isolated from peripheral blood and stimulated with IL -5 for 24 hours. Transcript
expression of C-C chemokine receptor type 3 ( CCR3), IL13, Cluster of differentiation 44 ( CD44) and
Colony stimulating factor 2 (CSF2). Expression levels were compared between lean donors (n = 9) and
PWO before (pre -OP; n = 3) and after (post -OP; n = 7) bariatric surgery. Mean ± SEM. Statistical
outliers were identified and excluded using the ROUT method (Q=1%) in GraphPad Prism. One -Way
ANOVA or Kruskal-Wallis-Test.
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Figure 5. Monocyte-derived macrophages regain polarization capacity after bariatric surgery.
A) Schematic depiction of monocyte (isolated from peripheral blood) differentiation into macrophages
and their subsequent polarization into classically activated macrophages (CAM) or alternatively
activated macrophages (AAM) . B) Gene expression in CAM -polarized cells was quantified by qRT -
PCR and compared among lean donors (n = 12-18), preoperative (n = 7-8), and postoperative samples
(n = 4-6) from PWO. Relative expression of TNF and interferon regulatory factor 1 (IRF1) was
normalised to 18S rRNA. C) Gene expression in AAM-polarized cells was quantified by qRT-PCR and
compared among lean donors (n = 23-26), preoperative (n = 13-18), and postoperative samples (n=8)
from PWO. Relative expression of mannose receptor C -type 1 ( CD206) and CD200 receptor 1
(CD200R1) was normalised to 18S rRNA. Mean ± SEM. Statistical outliers were identified and excluded
using the ROUT method (Q=1%) in GraphPad Prism. ***, p < 0.001; **, p < 0.01; *, p<0.05; One-Way
ANOVA or Kruskal-Wallis-Test.
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