Cited by 471Adipokines, Inflammation, and Metabolic DiseasesAdipose Tissue and MetabolismCardiovascular Disease and Adiposity

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Adipose tissue transcriptomic signature highlights the pathological relevance of extracellular matrix in human obesity

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Abstract

Background: Investigations performed in mice and humans have acknowledged obesity as a low-grade inflammatory disease. Several molecular mechanisms have been convincingly shown to be involved in activating inflammatory processes and altering cell composition in white adipose tissue (WAT). However, the overall importance of these alterations, and their long-term impact on the metabolic functions of the WAT and on its morphology, remain unclear. Results: Here, we analyzed the transcriptomic signature of the subcutaneous WAT in obese human subjects, in stable weight conditions and after weight loss following bariatric surgery. An original integrative functional genomics approach was applied to quantify relations between relevant structural and functional themes annotating differentially expressed genes in order to construct a comprehensive map of transcriptional interactions defining the obese WAT. These analyses highlighted a significant up-regulation of genes and biological themes related to extracellular matrix (ECM) constituents, including members of the integrin family, and suggested that these elements could play a major mediating role in a chain of interactions that connect local inflammatory phenomena to the alteration of WAT metabolic functions in obese subjects. Tissue and cellular investigations, driven by the analysis of transcriptional interactions, revealed an increased amount of interstitial fibrosis in obese WAT, associated with an infiltration of different types of inflammatory cells, and suggest that phenotypic alterations of human pre-adipocytes, induced by a pro-inflammatory environment, may lead to an excessive synthesis of ECM components. Conclusion: This study opens new perspectives in understanding the biology of human WAT and its pathologic changes indicative of tissue deterioration associated with the development of obesity.

Overview

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Written from the paper’s full text.

TL;DR

In subcutaneous white adipose tissue from obese humans, transcriptomic analysis revealed a segregated signature linking extracellular matrix/inflammatory processes in the stroma-vascular fraction with down-regulated intracellular metabolic/apoptotic processes in mature adipocytes. Histology confirmed increased interstitial fibrosis in obese WAT that persisted three months after bariatric surgery, and macrophage-conditioned medium induced ECM production by pre-adipocytes.

Key findings

  • In 35 cDNA microarrays from 25 weight-stable obese subjects (BMI 40.58 ± 1.58 kg/m²) and 10 lean controls (BMI 23.67 ± 0.48 kg/m²), SAM detected 366 up- and 474 down-regulated genes at 5% FDR; up-regulated genes were annotated mainly to membrane/extracellular/immune/inflammatory themes, while down-regulated genes were annotated to intracellular, lipid/energy metabolism, and apoptosis themes.
  • Two segregated interaction modules were identified: module 1 grouped ECM, inflammatory, cell adhesion, and signaling themes and was enriched in genes expressed predominantly in the stroma-vascular fraction; module 2 grouped intracellular metabolic, mitochondrial, ribosomal, and apoptotic themes and was enriched in genes expressed predominantly in mature adipocytes. Among over-represented GO categories, 40 ECM-related genes (12.5%; 24 up-regulated and 16 down-regulated) were found.
  • Subcutaneous WAT fibrosis was significantly higher in obese subjects than lean controls (6.29% ± 2 versus 2.19% ± 0.25, p < 0.05) and remained high three months after bariatric surgery (5.7% ± 1.63); patients with the highest hepatic fibrosis score also had more WAT fibrosis (p < 0.05).
  • After gastric bypass, 10 cDNA microarrays showed 1,744 up- and 1,627 down-regulated genes at 5% FDR, with up-regulated oxidative phosphorylation/mitochondrial and glycan-degradation pathways and down-regulated immune/inflammatory/signaling/ECM themes; in pre-adipocytes treated with activated macrophage-conditioned medium, >5,200 genes were up-regulated, 71.4% of ECM-related genes changed in obese WAT also changed in vitro, 60% shared the same direction (p < 0.05), and TGF-beta showed a 2.5-fold increase (p < 0.05).

Methods

  • Prospective recruitment included 55 obese subjects and 15 lean controls; 35 cDNA microarrays compared subcutaneous WAT from 25 weight-stable obese subjects and 10 lean controls, 10 paired arrays compared WAT before and three months after laparoscopic gastric bypass, fraction-comparison arrays used subcutaneous WAT from 9 overweight women, and 8 arrays tested human pre-adipocytes cultured with activated macrophage-conditioned media. Raw data were deposited in GEO (GSE9157).
  • Differential expression used print-tip loess normalization and SAM at a 5% FDR; functional annotation used GO and KEGG over-representation, transcriptomic interaction maps were built by quantifying expression similarity between annotated themes and clustering with spectral methods, and gene co-expression networks used Spearman’s correlation with an absolute Rs ≥ 0.8 threshold plus centrality measures.
  • Tissue and cellular validation included morphometry, picrosirius red fibrosis quantification, CD3/NKp46 immunohistochemistry, electron microscopy, liver histopathology, RTqPCR, and immunofluorescence for collagen type I and fibronectin in pre-adipocytes.

Limitations

  • The paper states that enzymatic digestion used to separate adipocytes and SVF cells may influence their expression profiles, that the precise phenotype of macrophages in human WAT is still unknown, that other SVF cell types such as myofibroblasts or fibroblasts need further characterization, and that WAT fibrosis may be irreversible or may take more than three months to resolve after weight loss.
  • Evident from the text: several substudies rely on small samples (10 obese subjects before/after surgery, 10 lean controls for fibrosis, 5 women for pre-adipocyte culture, 9 overweight women for fraction arrays), and the design is observational/correlational, so causal direction is not established.
  • Evident from the text: the main findings are microarray-based and require further mechanistic validation, although selected genes were assessed by RTqPCR and cellular/histological follow-up.

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Integrity signals

Registry

Crossref · 10.1186/gb-2008-9-1-r14

Cites

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Statistics

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Figures

Figure 1 GO Cellular Component enriched themes and their interaction map, illustrating the transcriptomic signature of obese WAT. (a) The GO Cellular Component annotation categories showing a significant enrichment in genes up- or down-regulated in WAT of obese subjects. (b) These categories were related to construct a biological interaction map after quantifying their proximity based on the expression similarity of their annotated genes. Continuous lines indicate the strongest interactions (that is, superior to the upper quartile of their distribution), while dashed lines depict medium strength interactions (that is, superior to the median of the distribution but inferior to its upper quartile). The enrichment in genes expressed preferentially in one of the two main cellular fractions of WAT, illustrated in a percentage scale (mature adipocytes in light gray versus SVF in black), was significantly different in the two modules (p value < 0.001).
Figure 1 GO Cellular Component enriched themes and their interaction map, illustrating the transcriptomic signature of obese WAT. (a) The GO Cellular Component annotation categories showing a significant enrichment in genes up- or down-regulated in WAT of obese subjects. (b) These categories were related to construct a biological interaction map after quantifying their proximity based on the expression similarity of their annotated genes. Continuous lines indicate the strongest interactions (that is, superior to the upper quartile of their distribution), while dashed lines depict medium strength interactions (that is, superior to the median of the distribution but inferior to its upper quartile). The enrichment in genes expressed preferentially in one of the two main cellular fractions of WAT, illustrated in a percentage scale (mature adipocytes in light gray versus SVF in black), was significantly different in the two modules (p value < 0.001).CC BY · PubMed Central
Figure 2 GO Biological Process enriched themes and their interaction map, illustrating the transcriptomic signature of obese WAT. (a) The GO Biological Process annotation categories showing a significant enrichment in genes up- or down-regulated in WAT of obese subjects. (b) These categories were related to construct a functional interaction map after quantifying their proximity based on the expression similarity of their annotated genes. Continuous lines indicate the strongest interactions (that is, superior to the upper quartile of their distribution), while dashed lines depict medium strength interactions (that is, superior to the median of the distribution but inferior to its upper quartile). The enrichment in genes expressed preferentially in one of the two main cellular fractions of WAT, illustrated in a percentage scale (mature adipocytes in light gray versus SVF in black), was significantly different in the two modules (p value < 0.05).
Figure 2 GO Biological Process enriched themes and their interaction map, illustrating the transcriptomic signature of obese WAT. (a) The GO Biological Process annotation categories showing a significant enrichment in genes up- or down-regulated in WAT of obese subjects. (b) These categories were related to construct a functional interaction map after quantifying their proximity based on the expression similarity of their annotated genes. Continuous lines indicate the strongest interactions (that is, superior to the upper quartile of their distribution), while dashed lines depict medium strength interactions (that is, superior to the median of the distribution but inferior to its upper quartile). The enrichment in genes expressed preferentially in one of the two main cellular fractions of WAT, illustrated in a percentage scale (mature adipocytes in light gray versus SVF in black), was significantly different in the two modules (p value < 0.05).CC BY · PubMed Central
Figure 3 KEGG enriched themes and their interaction map, illustrating the transcriptomic signature of obese WAT. (a) The KEGG annotating categories showing a significant enrichment in genes up- or down-regulated in the WAT of obese subjects. (b) These categories were related to construct a functional interaction map after quantifying their proximity based on the expression similarity of their annotated genes. Continuous lines indicate the strongest interactions (that is, superior to the upper quartile of their distribution), while dashed lines depict medium strength interactions (that is, superior to the median of the distribution but inferior to its upper quartile). The enrichment in genes expressed preferentially in one of the two main cellular fractions of WAT, illustrated in a percentage scale (mature adipocytes in light gray versus SVF in black), was significantly different in the two modules (p value < 0.001).
Figure 3 KEGG enriched themes and their interaction map, illustrating the transcriptomic signature of obese WAT. (a) The KEGG annotating categories showing a significant enrichment in genes up- or down-regulated in the WAT of obese subjects. (b) These categories were related to construct a functional interaction map after quantifying their proximity based on the expression similarity of their annotated genes. Continuous lines indicate the strongest interactions (that is, superior to the upper quartile of their distribution), while dashed lines depict medium strength interactions (that is, superior to the median of the distribution but inferior to its upper quartile). The enrichment in genes expressed preferentially in one of the two main cellular fractions of WAT, illustrated in a percentage scale (mature adipocytes in light gray versus SVF in black), was significantly different in the two modules (p value < 0.001).CC BY · PubMed Central
Figure 4 Gene co-expression network underlying the GO Biological Process interaction map in obese WAT. The relationships of differentially expressed genes annotated with over-represented categories of the GO Biological Process ontology were determined in order to build a co-expression network. The absolute value of a Spearman's correlation coefficient Rs ≥ 0.8 between expression profiles was used as a co-expression threshold to relate co- or inversely expressed genes. Red lines indicate co-expression relationships while blue lines illustrate inverse expression relationships. Genes with a yellow border code for known ECM components, while genes with a blue border are related to mitochondrial components. The enrichment in genes expressed preferentially in one of the two main cellular fractions of WAT, illustrated in a percentage scale (mature adipocytes in light gray versus SVF in black), was significantly different in the two modules (p value < 0.05). The shapes indicate the module to which the analyzed genes belong: a triangle for Module 1 and a lozenge for Module 2.
Figure 4 Gene co-expression network underlying the GO Biological Process interaction map in obese WAT. The relationships of differentially expressed genes annotated with over-represented categories of the GO Biological Process ontology were determined in order to build a co-expression network. The absolute value of a Spearman's correlation coefficient Rs ≥ 0.8 between expression profiles was used as a co-expression threshold to relate co- or inversely expressed genes. Red lines indicate co-expression relationships while blue lines illustrate inverse expression relationships. Genes with a yellow border code for known ECM components, while genes with a blue border are related to mitochondrial components. The enrichment in genes expressed preferentially in one of the two main cellular fractions of WAT, illustrated in a percentage scale (mature adipocytes in light gray versus SVF in black), was significantly different in the two modules (p value < 0.05). The shapes indicate the module to which the analyzed genes belong: a triangle for Module 1 and a lozenge for Module 2.CC BY · PubMed Central
Figure 5 Co-expression network of ECM related genes showing significant differential expression in obese WAT. The relationships of differentially expressed genes annotated with structural or functional GO categories related to ECM were determined in order to build a co-expression network. The absolute value of a Spearman's correlation coefficient Rs ≥ 0.8 between expression profiles was used as co-expression threshold to relate co- or inversely expressed genes. Red lines indicate co-expression relationships while blue lines illustrate inverse expression relationships. Genes with a yellow border are annotated with significantly over-represented GO Biological Process categories (Figures 2 and 4). The shapes illustrate the membership of those genes in different families of ECM components among those listed in the online supplementary table 1 and the Additional file 2.
Figure 5 Co-expression network of ECM related genes showing significant differential expression in obese WAT. The relationships of differentially expressed genes annotated with structural or functional GO categories related to ECM were determined in order to build a co-expression network. The absolute value of a Spearman's correlation coefficient Rs ≥ 0.8 between expression profiles was used as co-expression threshold to relate co- or inversely expressed genes. Red lines indicate co-expression relationships while blue lines illustrate inverse expression relationships. Genes with a yellow border are annotated with significantly over-represented GO Biological Process categories (Figures 2 and 4). The shapes illustrate the membership of those genes in different families of ECM components among those listed in the online supplementary table 1 and the Additional file 2.CC BY · PubMed Central
Figure 6 Significant correlations between the BMI and the expression profiles of the genes annotated with themes composing the first GO Biological Process interaction module in obese WAT. Significant Spearman's rank correlations between BMI and the WAT expression profiles of the genes annotated with themes composing the first interaction module (GO Biological Process) were selected in relation to a 5% FDR. The expression levels of these genes in each of the analyzed subjects are represented as green (down-regulated) or red (up-regulated) dots.
Figure 6 Significant correlations between the BMI and the expression profiles of the genes annotated with themes composing the first GO Biological Process interaction module in obese WAT. Significant Spearman's rank correlations between BMI and the WAT expression profiles of the genes annotated with themes composing the first interaction module (GO Biological Process) were selected in relation to a 5% FDR. The expression levels of these genes in each of the analyzed subjects are represented as green (down-regulated) or red (up-regulated) dots.CC BY · PubMed Central
Figure 7 Significant correlations between the BMI and the expression profiles of the genes annotated with themes composing the second GO Biological Process interaction module in obese WAT. Significant Spearman's rank correlations between the BMI and the WAT expression profiles of the genes annotated with themes composing the second interaction module (GO Biological Process) were selected in relation to a 5% FDR. The expression levels of these genes in each of the analyzed subjects are represented as green (down-regulated) or red (up-regulated) dots.
Figure 7 Significant correlations between the BMI and the expression profiles of the genes annotated with themes composing the second GO Biological Process interaction module in obese WAT. Significant Spearman's rank correlations between the BMI and the WAT expression profiles of the genes annotated with themes composing the second interaction module (GO Biological Process) were selected in relation to a 5% FDR. The expression levels of these genes in each of the analyzed subjects are represented as green (down-regulated) or red (up-regulated) dots.CC BY · PubMed Central
Figure 8 GO Cellular Component enriched themes and their interaction map, illustrating the transcriptomic signature of WAT in obese subjects three months after gastric bypass. (a,b) Structural themes, represented by enriched annotation categories of GO Cellular Component (a), were correlated in an interaction network after quantifying their proximity based on the expression similarity of their annotated genes (a). Continuous lines indicate the strongest interactions superior to the upper quartile of their distribution, while dashed lines depict medium strength interactions superior to the median of the distribution but inferior to its upper quartile.
Figure 8 GO Cellular Component enriched themes and their interaction map, illustrating the transcriptomic signature of WAT in obese subjects three months after gastric bypass. (a,b) Structural themes, represented by enriched annotation categories of GO Cellular Component (a), were correlated in an interaction network after quantifying their proximity based on the expression similarity of their annotated genes (a). Continuous lines indicate the strongest interactions superior to the upper quartile of their distribution, while dashed lines depict medium strength interactions superior to the median of the distribution but inferior to its upper quartile.CC BY · PubMed Central
Figure 9 GO Biological Process enriched themes and their interaction map, illustrating the transcriptomic signature of WAT in obese subjects three months after gastric bypass. (a,b) Functional themes, represented by enriched annotation categories of GO Biological Process (a), were correlated in an interaction network after quantifying their proximity based on the expression similarity of their annotated genes (b). Continuous lines indicate the strongest interactions superior to the upper quartile of their distribution, while dashed lines depict medium strength interactions superior to the median of the distribution but inferior to its upper quartile. (c) A close-up view of the two most important functional interaction modules.
Figure 9 GO Biological Process enriched themes and their interaction map, illustrating the transcriptomic signature of WAT in obese subjects three months after gastric bypass. (a,b) Functional themes, represented by enriched annotation categories of GO Biological Process (a), were correlated in an interaction network after quantifying their proximity based on the expression similarity of their annotated genes (b). Continuous lines indicate the strongest interactions superior to the upper quartile of their distribution, while dashed lines depict medium strength interactions superior to the median of the distribution but inferior to its upper quartile. (c) A close-up view of the two most important functional interaction modules.CC BY · PubMed Central
Figure 10 KEGG enriched themes and their interaction map, illustrating the transcriptomic signature of WAT in obese subjects three months after gastric bypass. (a,b) Functional themes, represented by enriched annotation categories of KEGG (a), were correlated in an interaction network after quantifying their proximity based on the expression similarity of their annotated genes (b). Continuous lines indicate the strongest interactions superior to the upper quartile of their distribution, while dashed lines depict medium strength interactions superior to the median of the distribution but inferior to its upper quartile.
Figure 10 KEGG enriched themes and their interaction map, illustrating the transcriptomic signature of WAT in obese subjects three months after gastric bypass. (a,b) Functional themes, represented by enriched annotation categories of KEGG (a), were correlated in an interaction network after quantifying their proximity based on the expression similarity of their annotated genes (b). Continuous lines indicate the strongest interactions superior to the upper quartile of their distribution, while dashed lines depict medium strength interactions superior to the median of the distribution but inferior to its upper quartile.CC BY · PubMed Central
Figure 11 Presence of macrophages, T lymphocytes and NK cells in the subcutaneous WAT of morbidly obese subjects. (a-d) Immunohistochemistry on paraffin-embedded adipose tissue and nuclei staining with haematoxylin (blue) shows CD3 positive cells between adipocytes (f) and in vessel walls (b), as well as NK cells (anti NKp46) (c,d). (e-g) Electron microscopy of adipose tissue shows macrophages ('m') with cytoplasmic expansions (arrows) in stromal areas between adipocytes ('a') and sometimes close to lymphocytes ('L'). (a,b) Representative images of ten independent slides taken from ten obese or ten lean patients; (c,d) representative images of five slides taken from five patients.
Figure 11 Presence of macrophages, T lymphocytes and NK cells in the subcutaneous WAT of morbidly obese subjects. (a-d) Immunohistochemistry on paraffin-embedded adipose tissue and nuclei staining with haematoxylin (blue) shows CD3 positive cells between adipocytes (f) and in vessel walls (b), as well as NK cells (anti NKp46) (c,d). (e-g) Electron microscopy of adipose tissue shows macrophages ('m') with cytoplasmic expansions (arrows) in stromal areas between adipocytes ('a') and sometimes close to lymphocytes ('L'). (a,b) Representative images of ten independent slides taken from ten obese or ten lean patients; (c,d) representative images of five slides taken from five patients.CC BY · PubMed Central
Figure 12 Quantification and characterization of interstitial fibrosis in subcutaneous WAT (scWAT) of morbidly obese subjects. (a-c) Low magnification pictures of adipose tissue connective areas (stained with picrosirius, red) in a lean control and an obese patient before and three months after bariatric surgery. Pictures are representative of ten analyzed subjects. (d) Automated software quantification of picrosirius areas. Error bars indicate the upper limit of the 95% confidence interval of the mean percentage of fibrosis (e,f) Appearance of stromal connective tissue at higher magnification (e) and by electron microscopy (f) showing layer shaped fibers.
Figure 12 Quantification and characterization of interstitial fibrosis in subcutaneous WAT (scWAT) of morbidly obese subjects. (a-c) Low magnification pictures of adipose tissue connective areas (stained with picrosirius, red) in a lean control and an obese patient before and three months after bariatric surgery. Pictures are representative of ten analyzed subjects. (d) Automated software quantification of picrosirius areas. Error bars indicate the upper limit of the 95% confidence interval of the mean percentage of fibrosis (e,f) Appearance of stromal connective tissue at higher magnification (e) and by electron microscopy (f) showing layer shaped fibers.CC BY · PubMed Central
Figure 13 Functional profiles illustrating the transcriptomic signature of human pre-adipocytes cultivated with AcMC-conditioned media. Relevant biological themes, showing significant enrichment in genes up- or down-regulated in human pre-adipocytes cultivated with AcMC-conditioned media, are represented as annotation categories of the (a) GO Cellular Component and (b) GO Biological Process ontologies, and (c) KEGG.
Figure 13 Functional profiles illustrating the transcriptomic signature of human pre-adipocytes cultivated with AcMC-conditioned media. Relevant biological themes, showing significant enrichment in genes up- or down-regulated in human pre-adipocytes cultivated with AcMC-conditioned media, are represented as annotation categories of the (a) GO Cellular Component and (b) GO Biological Process ontologies, and (c) KEGG.CC BY · PubMed Central
Figure 14 Macrophages promote ECM component secretion by pre-adipocytes. (a-d) Immunofluorescence analysis of pre-adipocytes cultivated with control (a,c) or AcMC-conditioned media (b,d) reveals that they express type 1 collagen (b, green staining, arrows) and fibronectin (d, red staining) in the latter condition. (e) Electron microscopy picture of an adipose tissue macrophage ('m') shows its collocation with collagen fibers ('c') and a lipid droplet ('l'). (a-d) Representative images of five independent experiments.
Figure 14 Macrophages promote ECM component secretion by pre-adipocytes. (a-d) Immunofluorescence analysis of pre-adipocytes cultivated with control (a,c) or AcMC-conditioned media (b,d) reveals that they express type 1 collagen (b, green staining, arrows) and fibronectin (d, red staining) in the latter condition. (e) Electron microscopy picture of an adipose tissue macrophage ('m') shows its collocation with collagen fibers ('c') and a lipid droplet ('l'). (a-d) Representative images of five independent experiments.CC BY · PubMed Central
Figure 15 A sketch of the hypothetical map of pathophysiological interactions taking place in obese WAT. Dashed arrows indicate subcomponents of a structure (ECM) or process (fibrosis), while full arrows indicate hypothetical pathophysiological interactions.
Figure 15 A sketch of the hypothetical map of pathophysiological interactions taking place in obese WAT. Dashed arrows indicate subcomponents of a structure (ECM) or process (fibrosis), while full arrows indicate hypothetical pathophysiological interactions.CC BY · PubMed Central

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  • Probably not a substantial claim. 38
  • It may state two separate claims as one. 43
  • The quote only partly states this claim. 5
73 of 73
  • The paper relies on this without support.

    In chronic low-grade inflammatory diseases, prolonged inflammation stimuli result in tissue injuries that can lead to excessive synthesis of ECM elements and their progressive deposition.

    “In chronic low-grade inflammatory diseases, prolonged inflammation stimuli result in tissue injuries that can lead to excessive synthesis of ECM elements and their progressive deposition.”
  • The paper relies on this without support.

    ECM modulations are transmitted to integrin complexes that regulate cytoskeleton dynamics and intracellular pathways.

    “It is well known that ECM modulations are transmitted to integrin complexes that regulate cytoskeleton dynamics and intracellular pathways.”
  • The paper relies on this without support.

    Persistence of tissue injuries can lead over time to an excessive production of ECM components, which accumulate progressively and may result eventually in impaired tissular function.

    “The persistence of tissue injuries can lead over time to an excessive production of ECM components, which accumulate progressively and may result eventually in impaired tissular function.”
  • The paper relies on this without support.

    Once the obese phase is attained, the new weight status appears to be strongly defended by both biological and psychological regulatory mechanisms.

    “Once the obese phase is attained, the new weight status appears to be strongly defended by both biological and psychological regulatory mechanisms.”
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  1. Gene Expression Omnibus. [http://www.ncbi.nlm.nih.gov/geo/]

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Metadata

Authors
Henegar, C., Tordjman, J., Achard, V., Lacasa, D., Cremer, I., Guerre-Millo, M., Poitou, C., Basdevant, A., Stich, V., Viguerie, N., Langin, D., Bedossa, P., Zucker, J.-D., & Clement, K.
Affiliations
  • Inserm (FR)
  • Université Toulouse III - Paul Sabatier (FR)
Venue
Genome Biology
Published
2008-01-21
Volume
9
Issue
1
Pages
R14-R14
ISSN
  • 1465-6906 (ISSN-L)
  • 1474-760X
OpenAlex
W2136425420
Cited by
471
References
86
Citations by year
2026: 10 · 2025: 17 · 2024: 18 · 2023: 23 · 2022: 27 · 2021: 23 · 2020: 34 · 2019: 25 · 2018: 32 · 2017: 35 · 2016: 29 · 2015: 33 · 2014: 25 · 2013: 31 · 2012: 28
FWCI
19.79
Type
journal article
Language
en
Open access
Locations
  • Genome biology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, other-oa)
Funders
  • Agence Nationale de la Recherche (ANR-05)
  • Institut National de la Santé et de la Recherche Médicale (4NU10G)
  • Assistance Publique - Hôpitaux de Paris
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
  • Health Sciences › Medicine › Physiology (medical) › Adipose Tissue and Metabolism
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
Keywords
obesity, white adipose tissue, extracellular matrix, gene expression signatures, low-grade inflammation, integrins, interstitial fibrosis, bariatric surgery, weight loss, preadipocytes, inflammatory cell infiltration, adipose tissue metabolism, gene co-expression network
MeSH terms
Adipose Tissue, Extracellular Matrix, Fibrosis, Humans, Inflammation, Obesity, Weight Loss, Gene Expression Profiling, Bariatric Surgery, Adipose Tissue, White

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