Obesity-Associated Extracellular Matrix Remodeling Promotes a Macrophage Phenotype Similar to Tumor-Associated Macrophages

脂肪组织 脂肪组织巨噬细胞 巨噬细胞 纤维化 细胞外基质 炎症 乳腺癌 内科学 生物 医学 癌症研究 内分泌学 病理 癌症 白色脂肪组织 细胞生物学 体外 生物化学
作者
Nora L. Springer,Neil M. Iyengar,Rohan Bareja,Akanksha Verma,Maxine S. Jochelson,Dilip D. Giri,Xi Kathy Zhou,Olivier Elemento,Andrew J. Dannenberg,Claudia Fischbach
出处
期刊:American Journal of Pathology [Elsevier BV]
卷期号:189 (10): 2019-2035 被引量:71
标识
DOI:10.1016/j.ajpath.2019.06.005
摘要

Obesity is associated with adipose inflammation, defined by macrophages encircling dead adipocytes, as well as extracellular matrix (ECM) remodeling and increased risk of breast cancer. Whether ECM affects macrophage phenotype in obesity is uncertain. A better understanding of this relationship could be strategically important to reduce cancer risk or improve outcomes in the obese. Using clinical samples, computational approaches, and in vitro decellularized ECM models, this study quantified the relative abundance of pro-inflammatory (M1) and anti-inflammatory (M2) macrophages in human breast adipose tissue, determined molecular similarities between obesity and tumor-associated macrophages, and assessed the regulatory effect of obese versus lean ECM on macrophage phenotype. Our results suggest that breast adipose tissue contains more M2- than M1-biased macrophages across all body mass index categories. Obesity further increased M2-biased macrophages but did not affect M1-biased macrophage density. Gene Set Enrichment Analysis suggested that breast tissue macrophages from obese versus lean women are more similar to tumor-associated macrophages. These changes positively correlated with adipose tissue interstitial fibrosis, and in vitro experiments indicated that obese ECM directly stimulates M2-biased macrophage functions. However, mammographic density cannot be used as a clinical indicator of these changes. Collectively, these data suggest that obesity-associated interstitial fibrosis promotes a macrophage phenotype similar to tumor-associated macrophages, which may contribute to the link between obesity and breast cancer. Obesity is associated with adipose inflammation, defined by macrophages encircling dead adipocytes, as well as extracellular matrix (ECM) remodeling and increased risk of breast cancer. Whether ECM affects macrophage phenotype in obesity is uncertain. A better understanding of this relationship could be strategically important to reduce cancer risk or improve outcomes in the obese. Using clinical samples, computational approaches, and in vitro decellularized ECM models, this study quantified the relative abundance of pro-inflammatory (M1) and anti-inflammatory (M2) macrophages in human breast adipose tissue, determined molecular similarities between obesity and tumor-associated macrophages, and assessed the regulatory effect of obese versus lean ECM on macrophage phenotype. Our results suggest that breast adipose tissue contains more M2- than M1-biased macrophages across all body mass index categories. Obesity further increased M2-biased macrophages but did not affect M1-biased macrophage density. Gene Set Enrichment Analysis suggested that breast tissue macrophages from obese versus lean women are more similar to tumor-associated macrophages. These changes positively correlated with adipose tissue interstitial fibrosis, and in vitro experiments indicated that obese ECM directly stimulates M2-biased macrophage functions. However, mammographic density cannot be used as a clinical indicator of these changes. Collectively, these data suggest that obesity-associated interstitial fibrosis promotes a macrophage phenotype similar to tumor-associated macrophages, which may contribute to the link between obesity and breast cancer. Excess body weight has been associated with both an increased risk of cancer and worse prognosis for some tumor types.1Arnold M. Pandeya N. Byrnes G. Renehan A.G. Stevens G.A. Ezzati M. Ferlay J. Miranda J.J. Romieu I. Dikshit R. Forman D. Soerjomataram I. Global burden of cancer attributable to high body-mass index in 2012: a population-based study.Lancet Oncol. 2015; 16: 36-46Abstract Full Text Full Text PDF PubMed Google Scholar In particular, obesity has been linked with the development of both hormone-receptor positive, postmenopausal,2van den Brandt P.A. Spiegelman D. Yaun S.S. Adami H.O. Beeson L. Folsom A.R. Fraser G. Goldbohm R.A. Graham S. Kushi L. Marshall J.R. Miller A.B. Rohan T. Smith-Warner S.A. Speizer F.E. Willett W.C. Wolk A. Hunter D.J. Pooled analysis of prospective cohort studies on height, weight, and breast cancer risk.Am J Epidemiol. 2000; 152: 514-527Crossref PubMed Scopus (711) Google Scholar, 3Trentham-Dietz A. Newcomb P.A. Storer B.E. Longnecker M.P. Baron J. Greenberg E.R. Willett W.C. Body size and risk of breast cancer.Am J Epidemiol. 1997; 145: 1011-1019Crossref PubMed Google Scholar, 4Endogenous Hormones Breast Cancer Collaborative GroupBody mass index, serum sex hormones, and breast cancer risk in postmenopausal women.J Natl Cancer Inst. 2003; 95: 1218-1226Crossref PubMed Google Scholar and triple-negative breast cancer.5Pierobon M. Frankenfeld C.L. Obesity as a risk factor for triple-negative breast cancers: a systematic review and meta-analysis.Breast Cancer Res Treat. 2013; 137: 307-314Crossref PubMed Scopus (150) Google Scholar Furthermore, obesity contributes to worse clinical outcome in both premenopausal and postmenopausal breast cancer patients.6Protani M. Coory M. Martin J.H. Effect of obesity on survival of women with breast cancer: systematic review and meta-analysis.Breast Cancer Res Treat. 2010; 123: 627-635Crossref PubMed Scopus (500) Google Scholar, 7Chan D.S.M. Vieira A.R. Aune D. Bandera E.V. Greenwood D.C. McTiernan A. Navarro Rosenblatt D. Thune I. Vieira R. Norat T. Body mass index and survival in women with breast cancer: systematic literature review and meta-analysis of 82 follow-up studies.Ann Oncol. 2014; 25: 1901-1914Abstract Full Text Full Text PDF PubMed Scopus (357) Google Scholar Historically, the link between obesity and breast cancer has been attributed to metabolic dysregulation, altered secretion of adipokines, elevated levels of estrogen, and inflammation.8Brown K.A. Impact of obesity on mammary gland inflammation and local estrogen production.J Mammary Gland Biol Neoplasia. 2014; 19: 183-189Crossref PubMed Scopus (21) Google Scholar, 9Zahid H. Simpson E.R. Brown K.A. Inflammation, dysregulated metabolism and aromatase in obesity and breast cancer.Curr Opin Pharmacol. 2016; 31: 90-96Crossref PubMed Scopus (14) Google Scholar, 10Cleary M.P. Grossmann M.E. Minireview: obesity and breast cancer: the estrogen connection.Endocrinology. 2009; 150: 2537-2542Crossref PubMed Scopus (265) Google Scholar, 11Cleary M.P. Grossmann M.E. Ray A. Effect of obesity on breast cancer development.Vet Pathol. 2010; 47: 202-213Crossref PubMed Scopus (59) Google Scholar Yet, experimental evidence suggests that obesity-dependent interstitial fibrosis of breast adipose tissue may also be important.12Seo B.R. Bhardwaj P. Choi S. Gonzalez J. Eguiluz R.C.A. Wang K. Mohanan S. Morris P.G. Du B. Zhou X.K. Vahdat L.T. Verma A. Elemento O. Hudis C.A. Williams R.M. Gourdon D. Dannenberg A.J. Fischbach C. Obesity-dependent changes in interstitial ECM mechanics promote breast tumorigenesis.Sci Transl Med. 2015; 7: 1-12Crossref Scopus (76) Google Scholar Fibrosis is a hallmark of obese white adipose tissue that is characterized by excess amounts of interstitial extracellular matrix (ECM) of varying composition, structure, and mechanical properties.12Seo B.R. Bhardwaj P. Choi S. Gonzalez J. Eguiluz R.C.A. Wang K. Mohanan S. Morris P.G. Du B. Zhou X.K. Vahdat L.T. Verma A. Elemento O. Hudis C.A. Williams R.M. Gourdon D. Dannenberg A.J. Fischbach C. Obesity-dependent changes in interstitial ECM mechanics promote breast tumorigenesis.Sci Transl Med. 2015; 7: 1-12Crossref Scopus (76) Google Scholar, 13Sun K. Tordjman J. Clément K. Scherer P.E. Fibrosis and adipose tissue dysfunction.Cell Metab. 2013; 18: 470-477Abstract Full Text Full Text PDF PubMed Scopus (317) Google Scholar, 14Divoux A. Tordjman J. Lacasa D. Veyrie N. Hugol D. Aissat A. Basdevant A. Guerre-Millo M. Poitou C. Zucker J. Bedossa P. Clément K. Fibrosis in human adipose tissue: composition, distribution, and link with lipid metabolism and fat.Diabetes. 2010; 59: 2817-2825Crossref PubMed Scopus (257) Google Scholar Given that myofibroblasts are considered key players in mediating fibrosis, it is not surprising that these cells are also increased in white adipose tissue. More specifically, adipose stromal cells (ASCs) isolated from the adipose tissue interstitium of obese versus lean mice are enriched in myofibroblasts that lay down abundant ECM. The resulting ECM contains increased amounts of aligned collagen type I and fibronectin (Fn) fibers and is mechanically stiffer, ultimately promoting malignant tumor cell behavior due to increased mechanosignaling.12Seo B.R. Bhardwaj P. Choi S. Gonzalez J. Eguiluz R.C.A. Wang K. Mohanan S. Morris P.G. Du B. Zhou X.K. Vahdat L.T. Verma A. Elemento O. Hudis C.A. Williams R.M. Gourdon D. Dannenberg A.J. Fischbach C. Obesity-dependent changes in interstitial ECM mechanics promote breast tumorigenesis.Sci Transl Med. 2015; 7: 1-12Crossref Scopus (76) Google Scholar This finding is directly relevant to humans, as demonstrated by analysis of human breast adipose tissue and cancer samples12Seo B.R. Bhardwaj P. Choi S. Gonzalez J. Eguiluz R.C.A. Wang K. Mohanan S. Morris P.G. Du B. Zhou X.K. Vahdat L.T. Verma A. Elemento O. Hudis C.A. Williams R.M. Gourdon D. Dannenberg A.J. Fischbach C. Obesity-dependent changes in interstitial ECM mechanics promote breast tumorigenesis.Sci Transl Med. 2015; 7: 1-12Crossref Scopus (76) Google Scholar and because ECM remodeling genes are highly enriched in the transcriptomic signature of s.c. white adipose tissue in obese individuals.15Henegar 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. Adipose tissue transcriptomic signature highlights the pathological relevance of extracellular matrix in human obesity.Genome Biol. 2008; 9: 1-32Crossref Scopus (240) Google Scholar Although the pathophysiology underlying obesity-associated interstitial fibrosis is complex, it is commonly linked to white adipose tissue inflammation (WATi), another hallmark of obesity.15Henegar 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. Adipose tissue transcriptomic signature highlights the pathological relevance of extracellular matrix in human obesity.Genome Biol. 2008; 9: 1-32Crossref Scopus (240) Google Scholar, 16Weisberg S.P. McCann D. Desai M. Rosenbaum M. Leibel R.L. Ferrante A.W. Obesity is associated with macrophage accumulation in adipose tissue.J Clin Invest. 2003; 112: 1796-1808Crossref PubMed Scopus (6090) Google Scholar, 17Xu H. Barnes G.T. Yang Q. Tan G. Yang D. Chou C.J. Sole J. Nichols A. Ross J.S. Tartaglia L.A. Chen H. Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance.J Clin Invest. 2003; 112: 1821-1830Crossref PubMed Scopus (4387) Google Scholar WATi has been identified in breast tissue from the obese and is associated with both an increased risk of breast cancer and shorter relapse-free survival in women with recurrent metastatic breast cancer.18Morris P.G. Hudis C.A. Giri D. Morrow M. Falcone D.J. Zhou X.K. Du B. Brogi E. Crawford C.B. Kopelovich L. Subbaramaiah K. Dannenberg A.J. Inflammation and increased aromatase expression occur in the breast tissue of obese women with breast cancer.Cancer Prev Res. 2011; 4: 1021-1029Crossref PubMed Scopus (269) Google Scholar, 19Iyengar N.M. Zhou X.K. Gucalp A. Morris P.G. Howe L.R. Giri D.D. Morrow M. Wang H. Pollak M. Jones L.W. Hudis C.A. Dannenberg A.J. Systemic correlates of white adipose tissue inflammation in early-stage breast cancer.Clin Cancer Res. 2016; 22: 2283-2289Crossref PubMed Scopus (65) Google Scholar, 20Carter J.M. Hoskin T.L. Pena M.A. Brahmbhatt R. Winham S.J. Frost M.H. Stallings-Mann M. Radisky D.C. Knutson K.L. Visscher D.W. Degnim A.C. Macrophagic "crown-like structures" are associated with an increased risk of breast cancer in benign breast disease.Cancer Prev Res. 2018; 11: 113-119Crossref PubMed Scopus (9) Google Scholar Histologically, WATi appears as a grouping of macrophages surrounding dead or dying adipocytes, termed crown-like structures (CLSs). CLSs have been described in s.c.,16Weisberg S.P. McCann D. Desai M. Rosenbaum M. Leibel R.L. Ferrante A.W. Obesity is associated with macrophage accumulation in adipose tissue.J Clin Invest. 2003; 112: 1796-1808Crossref PubMed Scopus (6090) Google Scholar visceral,21Gucalp A. Iyengar N.M. Zhou X.K. Giri D.D. Falcone D.J. Wang H. Williams S. Krasne M.D. Yaghnam I. Kunzel B. Morris P.G. Jones L.W. Pollak M. Laudone V.P. Hudis C.A. Scher H.I. Scardino P.T. Eastham J.A. Dannenberg A.J. Periprostatic adipose inflammation is associated with high-grade prostate cancer.Prostate Cancer Prostatic Dis. 2017; 20: 418-423Crossref PubMed Scopus (9) Google Scholar and breast18Morris P.G. Hudis C.A. Giri D. Morrow M. Falcone D.J. Zhou X.K. Du B. Brogi E. Crawford C.B. Kopelovich L. Subbaramaiah K. Dannenberg A.J. Inflammation and increased aromatase expression occur in the breast tissue of obese women with breast cancer.Cancer Prev Res. 2011; 4: 1021-1029Crossref PubMed Scopus (269) Google Scholar adipose tissue and are considered to consist of pro-inflammatory (M1) macrophages as their presence correlates with increased circulating levels of pro-inflammatory cytokines and positive acute-phase proteins.22Wentworth J.M. Naselli G. Brown W.A. Doyle L. Pro-inflammatory CD11c+ CD206+ adipose tissue macrophages are associated with insulin resistance in human obesity.Diabetes. 2010; 59: 1648-1656Crossref PubMed Scopus (285) Google Scholar, 23Iyengar N.M. Brown K.A. Zhou X.K. Gucalp A. Subbaramaiah K. Giri D.D. Zahid H. Bhardwaj P. Wendel N.K. Falcone D.J. Wang H. Williams S. Pollak M. Morrow M. Hudis C.A. Dannenberg A.J. Metabolic obesity, adipose inflammation and elevated breast aromatase in women with normal body mass index.Cancer Prev Res. 2017; 10: 235-243Crossref PubMed Scopus (36) Google Scholar Nevertheless, recent experimental evidence in mice and humans indicates that anti-inflammatory (M2) macrophages may also be increased with obesity.24Haase J. Weyer U. Immig K. Klöting N. Blüher M. Eilers J. Bechmann I. Gericke M. Local proliferation of macrophages in adipose tissue during obesity-induced inflammation.Diabetologia. 2014; 57: 562-571Crossref PubMed Scopus (95) Google Scholar, 25Zeyda M. Farmer D. Todoric J. Aszmann O. Speiser M. Györi G. Zlabinger G.J. Stulnig T.M. Human adipose tissue macrophages are of an anti-inflammatory phenotype but capable of excessive pro-inflammatory mediator production.Int J Obes. 2007; 31: 1420-1428Crossref PubMed Scopus (325) Google Scholar, 26Mayi T.H. Daoudi M. Derudas B. Gross B. Bories G. Wouters K. Brozek J. Caiazzo R. Raverdi V. Pigeyre M. Allavena P. Mantovani A. Pattou F. Staels B. Chinetti-Gbaguidi G. Human adipose tissue macrophages display activation of cancer-related pathways.J Biol Chem. 2012; 287: 21904-21913Crossref PubMed Scopus (34) Google Scholar Whether similar findings apply to human breast adipose tissue remains unclear. Gaining an improved understanding of how obesity modulates M1 and M2 macrophage density and function in the human breast is critical because M2 macrophages share similarities with tumor-associated macrophages (TAMs)27Medrek C. Pontén F. Jirström K. Leandersson K. The presence of tumor associated macrophages in tumor stroma as a prognostic marker for breast cancer patients.BMC Cancer. 2012; 12: 306Crossref PubMed Scopus (284) Google Scholar and, thus, could play an important role in tumorigenesis28Qian B.-Z. Pollard J.W. Macrophage diversity enhances tumor progression and metastasis.Cell. 2010; 141: 39-51Abstract Full Text Full Text PDF PubMed Scopus (2200) Google Scholar by suppressing antitumor immune responses,29Sousa S. Brion R. Lintunen M. Kronqvist P. Sandholm J. Mönkkönen J. Kellokumpu-Lehtinen P.-L. Lauttia S. Tynninen O. Joensuu H. Heymann D. Määttä J.A. Human breast cancer cells educate macrophages toward the M2 activation status.Breast Cancer Res. 2015; 17: 101Crossref PubMed Scopus (107) Google Scholar promoting angiogenesis,30Lin L. Chen Y.-S. Yao Y.-D. Chen J.-Q. Chen J.-N. Huang S.-Y. Zeng Y.-J. Yao H.-R. Zeng S.-H. Fu Y.-S. Song E.-W. CCL18 from tumor-associated macrophages promotes angiogenesis in breast cancer.Oncotarget. 2015; 6: 34758-34773Crossref PubMed Scopus (55) Google Scholar and assisting with cancer cell intravasation and metastasis.31Wyckoff J.B. Wang Y. Lin E.Y. Li J.F. Goswami S. Stanley E.R. Segall J.E. Pollard J.W. Condeelis J. Direct visualization of macrophage-assisted tumor cell intravasation in mammary tumors.Cancer Res. 2007; 67: 2649-2656Crossref PubMed Scopus (634) Google Scholar We recognize that macrophages are phenotypically diverse and plastic and that their phenotypes overlap on both an individual32Hill D.A. Lim H.-W. Kim Y.H. Ho W.Y. Foong Y.H. Nelson V.L. Nguyen H.C.B. Chegireddy K. Kim J. Habertheuer A. Vallabhajosyula P. Kambayashi T. Won K.-J. Lazar M.A. Distinct macrophage populations direct inflammatory versus physiological changes in adipose tissue.Proc Natl Acad Sci U S A. 2018; 115: E5096-E5105Crossref PubMed Scopus (27) Google Scholar and cell population33Italiani P. Boraschi D. From monocytes to M1/M2 macrophages: phenotypical vs. functional differentiation.Front Immunol. 2014; 5: 1-22Crossref PubMed Scopus (46) Google Scholar, 34Murray P.J. Allen J.E. Biswas S.K. Fisher E.A. Gilroy D.W. Goerdt S. Gordon S. Hamilton J.A. Ivashkiv L.B. Lawrence T. Locati M. Mantovani A. Martinez F.O. Mege J.L. Mosser D.M. Natoli G. Saeij J.P. Schultze J.L. Shirey K.A. Sica A. Suttles J. Udalova I. vanGinderachter J.A. Vogel S.N. Wynn T.A. Macrophage activation and polarization: nomenclature and experimental guidelines.Immunity. 2014; 41: 14-20Abstract Full Text Full Text PDF PubMed Scopus (1916) Google Scholar level. Nevertheless, the simplified classification of macrophages as M1 or M2 biased that is used herein provides a framework to gain valuable new insights. Although most previous work studying the functional link between inflammation and the ECM has focused on how macrophages mediate fibrotic ECM remodeling,35Tanaka M. Ikeda K. Suganami T. Komiya C. Ochi K. Shirakawa I. Hamaguchi M. Nishimura S. Manabe I. Matsuda T. Kimura K. Inoue H. Inagaki Y. Aoe S. Yamasaki S. Ogawa Y. Macrophage-inducible C-type lectin underlies obesity-induced adipose tissue fibrosis.Nat Commun. 2014; 5: 4982Crossref PubMed Scopus (59) Google Scholar, 36Wynn T.A. Barron L. Macrophages: master regulators of inflammation and fibrosis.Semin Liver Dis. 2010; 30: 245-257Crossref PubMed Scopus (642) Google Scholar, 37Wynn T.A. Vannella K.M. Macrophages in tissue repair, regeneration, and fibrosis.Immunity. 2016; 44: 450-462Abstract Full Text Full Text PDF PubMed Scopus (654) Google Scholar the opposite may be equally relevant (ie, how the ECM influences macrophages). Indeed, TAMs often reside along the tumor-stroma border, an area that is characterized by increased fibrotic ECM remodeling.38Laoui D. Movahedi K. Van Overmeire E. Van den Bossche J. Schouppe E. Mommer C. Nikolaou A. Morias Y. De Baetselier P. Van Ginderachter J.A. Tumor-associated macrophages in breast cancer: distinct subsets, distinct functions.Int J Dev Biol. 2011; 55: 719-729Crossref PubMed Scopus (144) Google Scholar, 39Provenzano P.P. Eliceiri K.W. Campbell J.M. Inman D.R. White J.G. Keely P.J. Collagen reorganization at the tumor-stromal interface facilitates local invasion.BMC Med. 2006; 4: 38Crossref PubMed Scopus (828) Google Scholar Although TAMs have been shown to enhance collagenous deposition within tumors,40Afik R. Zigmond E. Vugman M. Klepfish M. Shimshoni E. Pasmanik-Chor M. Shenoy A. Bassat E. Halpern Z. Geiger T. Sagi I. Varol C. Tumor macrophages are pivotal constructors of tumor collagenous matrix.J Exp Med. 2016; 213: 2315-2331Crossref PubMed Google Scholar experimental evidence suggests that the converse, tumor-associated ECM remodeling directly modulating macrophage functions,41Pinto M.L. Rios E. Silva A.C. Neves S.C. Caires H.R. Pinto A.T. Durães C. Carvalho F.A. Cardoso A.P. Santos N.C. Barrias C.C. Nascimento D.S. Pinto-do-Ó P. Barbosa M.A. Carneiro F. Oliveira M.J. Decellularized human colorectal cancer matrices polarize macrophages towards an anti-inflammatory phenotype promoting cancer cell invasion via CCL18.Biomaterials. 2017; 124: 211-224Crossref PubMed Scopus (21) Google Scholar may also be true. Within adipose tissue, M2 macrophages also interact with ECM as they exist within the interstitial space between adipocytes24Haase J. Weyer U. Immig K. Klöting N. Blüher M. Eilers J. Bechmann I. Gericke M. Local proliferation of macrophages in adipose tissue during obesity-induced inflammation.Diabetologia. 2014; 57: 562-571Crossref PubMed Scopus (95) Google Scholar in which fibrotic remodeling is abundant in obesity. Nevertheless, it remains unknown whether obesity-associated differences in interstitial ECM remodeling modulate macrophage function toward an anti-inflammatory and possibly protumorigenic phenotype. Yet, this possibility is conceivable as macrophages can transition to an M2 phenotype when interacting with substrates mimicking biochemical and biophysical changes representative of fibrotic ECM remodeling.42Patel N.R. Bole M. Chen C. Hardin C.C. Kho A.T. Mih J. Deng L. Butler J. Tschumperlin D. Fredberg J.J. Krishnan R. Koziel H. Cell elasticity determines macrophage function.PLoS One. 2012; 7: e41024Crossref PubMed Scopus (108) Google Scholar, 43McWhorter F.Y. Wang T. Nguyen P. Chung T. Liu W.F. Modulation of macrophage phenotype by cell shape.Proc Natl Acad Sci U S A. 2013; 110: 17253-17258Crossref PubMed Scopus (391) Google Scholar, 44Gruber E. Heyward C. Cameron J. Leifer C. Toll-like receptor signaling in macrophages is regulated by extracellular substrate stiffness and Rho-associated coiled-coil kinase (ROCK1/2).Int Immunol. 2018; 30: 267-278Crossref PubMed Scopus (4) Google Scholar Herein, we investigated the overall hypothesis that obesity-associated changes to adipose tissue interstitial ECM promote an anti-inflammatory M2-biased macrophage phenotype similar to TAMs. To test this hypothesis, the spatial distribution of pro-inflammatory and anti-inflammatory macrophages in tumor-free regions of breast adipose tissue was evaluated via immunohistochemistry (IHC). Macrophages were compared in both lean and obese breast adipose tissue using gene expression profiling, and the detected signatures were related to those of tumor-associated macrophages. Subsequently, the influence of obesity-associated ECM remodeling on macrophage phenotype was explored with an in vitro model of lean and obese ECM. Finally, it was determined whether obese ECM-mediated regulation of macrophage function could impact endothelial cell behavior, a hallmark of protumorigenic macrophages. Clinical data and archived formalin-fixed, paraffin-embedded samples were obtained from a cohort of women who underwent mastectomy for breast cancer risk reduction or treatment between January 2011 and August 2013 at Memorial Sloan Kettering Cancer Center (New York, NY). Due to known racial and ethnic disparities in breast cancer prognosis and survival, race and ethnicity was queried on the Memorial Sloan Kettering oncology intake questionnaire and self-reported. For race, patients could choose from the following options: American Indian, Asian, Native Hawaiian, Black or African American, White, or unknown. For ethnicity, patients could choose from the following-options: Hispanic or Latino, Not Hispanic or Latino, or unknown. In this cohort, non–tumor-containing breast white adipose tissue was prospectively collected at the time of surgery. CLS presence in breast adipose tissue had been previously classified in this cohort.19Iyengar N.M. Zhou X.K. Gucalp A. Morris P.G. Howe L.R. Giri D.D. Morrow M. Wang H. Pollak M. Jones L.W. Hudis C.A. Dannenberg A.J. Systemic correlates of white adipose tissue inflammation in early-stage breast cancer.Clin Cancer Res. 2016; 22: 2283-2289Crossref PubMed Scopus (65) Google Scholar Samples were randomly selected on the basis of a power analysis estimating 80% power to detect a correlation of 0.4 using a two-sided hypothesis test with a significance level of 0.05. Macrophage polarization states in breast white adipose tissue were evaluated via IHC on archived formalin-fixed, paraffin-embedded breast tissue. Sections (5 μm thick) were probed with rabbit polyclonal anti-mannose receptor (CD206; Abcam, Cambridge, MA; ab64693) or rabbit monoclonal anti-CD11c (Abcam; ab52623). The signal was amplified using Vectastain ABC universal kit (Vector Laboratories, Burlingame, CA) and detected with peroxidase substrate and 3,3'-diaminobenzadine chromogen (ThermoFisher, Waltham, MA). Tissue sections were also stained with hematoxylin and eosin, picrosirius red, and IHC for CD31 (Abcam; ab28364). Samples with repeatable severe sectioning artifact were excluded from analysis. Stained slides were digitally archived with an Aperio CS2 microscope (Leica Biosystems, Buffalo Grove, IL) and were analyzed with the included ImageScope software positive pixel count algorithm version 9 (Leica Biosystems) (Supplemental Figure S1). Picrosirius red–stained sections were imaged under crossed polarized light45Junqueira L.C. Bignolas G. Brentani R.R. Picrosirius staining plus polarization microscopy, a specific method for collagen detection in tissue sections.Histochem J. 1979; 11: 447-455Crossref PubMed Scopus (1668) Google Scholar with a Nikon (Melville, NY) TE2000-S microscope and an RTKE (Spot Imaging Solutions, Inc., Sterling Heights, MI) color camera, and images were analyzed with ImageJ software version 1.48 (NIH, Bethesda, MD; https://imagej.nih.gov/ij) using an algorithm for positive pixel counts. Mammographic data were retrieved from the patient medical record, when available (n = 26), and anonymized before use. Mammographic density pattern was determined by a radiologist (M.S.J.). At the time of the collection, fresh tissue specimens were snap frozen and stored in RNAlater (Ambion, Foster City, CA), and total RNA was extracted for RNA sequencing using the RNeasy Mini Kit (Qiagen, Valencia, CA). Polyadenylated RNA sequencing was performed using the standard Illumina (San Diego, CA) Truseq kits, and samples were sequenced using the HiSeq2000 platform. All reads were independently aligned with STAR_2.4.0f1 (http://code.google.com/p/rna-star)46Dobin A. Davis C.A. Schlesinger F. Drenkow J. Zaleski C. Jha S. Batut P. Chaisson M. Gingeras T.R. STAR: ultrafast universal RNA-seq aligner.Bioinformatics. 2013; 29: 15-21Crossref PubMed Scopus (6828) Google Scholar for sequence alignment against the human genome build hg19 and downloaded via the University of California, Santa Cruz, genome browser, and SAMTOOLS version 0.1.19 (http://samtools.sourceforge.net)47Li H. Handsaker B. Wysoker A. Fennell T. Ruan J. Homer N. Marth G. Abecasis G. Durbin R. 1000 Genome Project Data Processing Subgroup: The Sequence Alignment/Map format and SAMtools.Bioinformatics. 2009; 25: 2078-2079Crossref PubMed Scopus (17484) Google Scholarwas used for sorting and indexing reads. Cufflinks version 2.0.2 (http://cufflinks.cbcb.umd.edu)48Trapnell C. Roberts A. Goff L. Pertea G. Kim D. Kelley D.R. Pimentel H. Salzberg S.L. Rinn J.L. Pachter L. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks [Erratum appeared in Nat Protoc 2014, 9:2513].Nat Protoc. 2012; 7: 562-578Crossref PubMed Scopus (0) Google Scholar was used to get the expression values (fragments per kilobase per million), and Gencode version 19 (https://www.gencodegenes.org)49Frankish A. Diekhans M. Ferreira A.M. Johnson R. Jungreis I. Loveland J. GENCODE reference annotation for the human and mouse genomes.Nucleic Acids Res. 2019; 47: D766-D773Crossref PubMed Scopus (113) Google Scholar gene transfer format (GTF) file was used for annotation. The gene counts from htseq-count50Anders S. Pyl P.T. Huber W. HTSeq: a Python framework to work with high-throughput sequencing data.Bioinformatics. 2015; 31: 166-169Crossref PubMed Scopus (5279) Google Scholar and DESeq2 Bioconductor package51Love M.I. Huber W. Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.Genome Biol. 2014; 15: 1-21Crossref Scopus (10175) Google Scholar were used to identify differentially expressed genes. The hypergeometric test and Gene Set Enrichment Analysis52Subramanian A. Tamayo P. Mootha V. Gene Set Enrichment Analysis: a knowledge-based approach for interpreting genome-wide expression profiles.Proc Natl Acad Sci U S A. 2005; 102: 15545-15550Crossref PubMed Scopus (14655) Google Scholar were used to identify enriched signatures using the different pathway collection in the MSigDB database.53Liberzon A. Subramanian A. Pinchback R. Thorvaldsdóttir H. Tamayo P. Mesirov J.P. Molecular signatures database (MSigDB) 3.0.Bioinformatics. 2011; 27: 1739-1740Crossref PubMed Scopus (1041) Google Scholar Gene name–based enrichment analysis was also performed using the webtool ENRICHR.54Kuleshov M.V. Jones M.R. Rouillard A.D. Fernandez N.F. Duan Q. Wang Z. Koplev S. Jenkins S.L. Jagodnik K.M. Lachmann A. McDermott M.G. Monteiro C.D. Gundersen G.W. Ma'ayan A. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update.Nucleic Acids Res. 2016; 44: W90-W97Crossref PubMed Scopus (1113) Google Scholar, 55Chen E.Y. Tan C.M. Kou Y. Duan Q. Wang Z. Meirelles G.V. Clark N.R. Ma'ayan A. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool.BMC Bioinformatics. 2013; 14: 128Crossref PubMed Scopus (1154) Google Scholar The resultant transcripts were analyzed with the LM22 CIBERSORT signature (http://cibersort.stanford.edu) 56Newman A.M. Liu C.L. Green M.R. Gentles A.J. Feng W. Xu Y. Hoang C.D. Diehn M. Aliza
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Jasper应助zhenzhangfynu采纳,获得10
1秒前
李健应助brittany采纳,获得10
1秒前
宁静致远发布了新的文献求助30
1秒前
英姑应助杨紫琴采纳,获得10
2秒前
晾猫人完成签到,获得积分10
2秒前
JUNJUN发布了新的文献求助10
2秒前
TIAOTIAO完成签到,获得积分10
3秒前
su完成签到,获得积分10
3秒前
3秒前
科研通AI5应助hkh采纳,获得10
5秒前
赘婿应助hyy采纳,获得10
5秒前
ww007完成签到,获得积分10
6秒前
6秒前
6秒前
阿枫发布了新的文献求助30
7秒前
huahua发布了新的文献求助10
7秒前
科研通AI5应助丹青采纳,获得10
8秒前
8秒前
yeah发布了新的文献求助20
9秒前
9秒前
cyj完成签到 ,获得积分10
10秒前
11秒前
完美世界应助杨紫琴采纳,获得10
11秒前
YOUNG应助PINKPIG采纳,获得10
12秒前
KeLiang完成签到,获得积分10
12秒前
刘老哥6发布了新的文献求助10
13秒前
霸气灵松发布了新的文献求助10
13秒前
14秒前
HKJ完成签到,获得积分10
14秒前
一叶扁舟发布了新的文献求助10
15秒前
15秒前
ding应助舒心傲柏采纳,获得10
17秒前
小白应助木头人采纳,获得20
17秒前
Jae完成签到 ,获得积分10
18秒前
舒心白山发布了新的文献求助10
18秒前
JUNJUN完成签到,获得积分10
18秒前
19秒前
芋头发布了新的文献求助10
20秒前
向暖完成签到,获得积分10
21秒前
科研通AI5应助fffff采纳,获得80
21秒前
高分求助中
Continuum Thermodynamics and Material Modelling 2000
The organometallic chemistry of the transition metals 7th 666
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
Seven new species of the Palaearctic Lauxaniidae and Asteiidae (Diptera) 400
Handbook of Laboratory Animal Science 300
Fundamentals of Medical Device Regulations, Fifth Edition(e-book) 300
A method for calculating the flow in a centrifugal impeller when entropy gradients are present 240
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3701220
求助须知:如何正确求助?哪些是违规求助? 3251569
关于积分的说明 9875257
捐赠科研通 2963566
什么是DOI,文献DOI怎么找? 1625169
邀请新用户注册赠送积分活动 769876
科研通“疑难数据库(出版商)”最低求助积分说明 742582