FAM13A affects body fat distribution and adipocyte function.
Adipocytes
/ metabolism
Adipogenesis
/ genetics
Animals
Body Fat Distribution
Cell Differentiation
/ genetics
GTPase-Activating Proteins
/ genetics
Gene Knockdown Techniques
Genetic Loci
Genome-Wide Association Study
HEK293 Cells
Humans
Insulin Resistance
/ genetics
Intra-Abdominal Fat
/ metabolism
Male
Metabolomics
Mice, Inbred C57BL
Mice, Knockout
Phenotype
Polymorphism, Single Nucleotide
/ genetics
RNA, Messenger
/ genetics
Subcutaneous Fat
/ metabolism
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
19 03 2020
19 03 2020
Historique:
received:
30
10
2018
accepted:
20
02
2020
entrez:
21
3
2020
pubmed:
21
3
2020
medline:
16
7
2020
Statut:
epublish
Résumé
Genetic variation in the FAM13A (Family with Sequence Similarity 13 Member A) locus has been associated with several glycemic and metabolic traits in genome-wide association studies (GWAS). Here, we demonstrate that in humans, FAM13A alleles are associated with increased FAM13A expression in subcutaneous adipose tissue (SAT) and an insulin resistance-related phenotype (e.g. higher waist-to-hip ratio and fasting insulin levels, but lower body fat). In human adipocyte models, knockdown of FAM13A in preadipocytes accelerates adipocyte differentiation. In mice, Fam13a knockout (KO) have a lower visceral to subcutaneous fat (VAT/SAT) ratio after high-fat diet challenge, in comparison to their wild-type counterparts. Subcutaneous adipocytes in KO mice show a size distribution shift toward an increased number of smaller adipocytes, along with an improved adipogenic potential. Our results indicate that GWAS-associated variants within the FAM13A locus alter adipose FAM13A expression, which in turn, regulates adipocyte differentiation and contribute to changes in body fat distribution.
Identifiants
pubmed: 32193374
doi: 10.1038/s41467-020-15291-z
pii: 10.1038/s41467-020-15291-z
pmc: PMC7081215
doi:
Substances chimiques
FAM13A protein, human
0
Fam13a protein, mouse
0
GTPase-Activating Proteins
0
RNA, Messenger
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1465Subventions
Organisme : NIDDK NIH HHS
ID : R01 DK101573
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK106236
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK120565
Pays : United States
Organisme : NLM NIH HHS
ID : T15 LM007033
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK116750
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK116074
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM131810
Pays : United States
Références
Shungin, D. et al. New genetic loci link adipose and insulin biology to body fat distribution. Nature 518, 187–196 (2015).
pubmed: 25673412
pmcid: 4338562
Loos, R. J. F. & Kilpelainen, T. O. Genes that make you fat, but keep you healthy. J. Intern. Med. 284, 450–463 (2018).
pubmed: 30144199
pmcid: 6566096
Scott, R. A. et al. Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. Nat. Genet. 44, 991–1005 (2012).
pubmed: 22885924
pmcid: 3433394
Lotta, L. A. et al. Integrative genomic analysis implicates limited peripheral adipose storage capacity in the pathogenesis of human insulin resistance. Nat. Genet. 49, 17–26 (2017).
pubmed: 27841877
Yaghootkar, H. et al. Genetic evidence for a normal-weight “metabolically obese” phenotype linking insulin resistance, hypertension, coronary artery disease, and type 2 diabetes. Diabetes 63, 4369–4377 (2014).
pubmed: 25048195
pmcid: 4392920
Willer, C. J. et al. Discovery and refinement of loci associated with lipid levels. Nat. Genet. 45, 1274–1283 (2013).
pubmed: 24097068
pmcid: 3838666
Cho, M. H. et al. Variants in FAM13A are associated with chronic obstructive pulmonary disease. Nat. Genet. 42, 200–202 (2010).
pubmed: 20173748
pmcid: 2828499
Zhang, Y. et al. High expression of FAM13A was associated with increasing the liver cirrhosis risk. Mol. Genet. Genom. Med. 7, e543 (2019).
Fagerberg, L. et al. Analysis of the human tissue-specific expression by genome-wide integration of transcriptomics and antibody-based proteomics. Mol. Cell Proteomics 13, 397–406 (2014).
pubmed: 24309898
Hormozdiari, F. et al. Colocalization of GWAS and eQTL signals detects target genes. Am. J. Hum. Genet. 99, 1245–1260 (2016).
pubmed: 27866706
pmcid: 5142122
Sudlow, C. et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 12, e1001779 (2015).
pubmed: 25826379
pmcid: 4380465
Rao, A. S. et al. Large-scale phenome-wide association study of PCSK9 variants demonstrates protection against ischemic stroke. Circ. Genom. Precis. Med. 11, e002162 (2018).
pubmed: 29997226
pmcid: 6050027
Davis, J. P. et al. Common, low-frequency, and rare genetic variants associated with lipoprotein subclasses and triglyceride measures in Finnish men from the METSIM study. PLoS Genet. 13, e1007079 (2017).
pubmed: 29084231
pmcid: 5679656
Laakso, M. et al. The metabolic syndrome in men study: a resource for studies of metabolic and cardiovascular diseases. J. Lipid Res. 58, 481–493 (2017).
pubmed: 28119442
pmcid: 5335588
Herwig, R., Hardt, C., Lienhard, M. & Kamburov, A. Analyzing and interpreting genome data at the network level with ConsensusPathDB. Nat. Protoc. 11, 1889–1907 (2016).
pubmed: 27606777
Hägg, S. et al. Multi-organ expression profiling uncovers a gene module in coronary artery disease involving transendothelial migration of leukocytes and LIM domain binding 2: the stockholm atherosclerosis gene expression (STAGE) study. PLOS Genet. 5, e1000754 (2009).
pubmed: 19997623
pmcid: 2780352
Wabitsch, M. et al. Characterization of a human preadipocyte cell strain with high capacity for adipose differentiation. Int J. Obes. Relat. Metab. Disord. 25, 8–15 (2001).
pubmed: 11244452
Small, K. S. et al. Regulatory variants at KLF14 influence type 2 diabetes risk via a female-specific effect on adipocyte size and body composition. Nat. Genet. 50, 572–580 (2018).
pubmed: 29632379
pmcid: 5935235
Civelek, M. et al. Genetic regulation of adipose gene expression and cardio-metabolic traits. Am. J. Hum. Genet. 100, 428–443 (2017).
pubmed: 28257690
pmcid: 5339333
Agarwal, A. K. et al. AGPAT2 is mutated in congenital generalized lipodystrophy linked to chromosome 9q34. Nat. Genet. 31, 21–23 (2002).
pubmed: 11967537
Cautivo, K. M. et al. AGPAT2 is essential for postnatal development and maintenance of white and brown adipose tissue. Mol. Metab. 5, 491–505 (2016).
pubmed: 27408775
pmcid: 4921804
Ussar, S. et al. ASC-1, PAT2, and P2RX5 are cell surface markers for white, beige, and brown adipocytes. Sci. Transl. Med. 6, 247ra103 (2014).
pubmed: 25080478
pmcid: 4356008
Cao, Y. Angiogenesis modulates adipogenesis and obesity. J. Clin. Invest. 117, 2362–2368 (2007).
pubmed: 17786229
pmcid: 1963348
Warren, C. R. et al. Induced pluripotent stem cell differentiation enables functional validation of GWAS variants in metabolic disease. Cell Stem Cell 20, 547–557 e547 (2017).
pubmed: 28388431
Fischer, C. et al. A miR-327-FGF10-FGFR2-mediated autocrine signaling mechanism controls white fat browning. Nat. Commun. 8, 2079 (2017).
pubmed: 29233981
pmcid: 5727036
Mardinoglu, A. et al. Extensive weight loss reveals distinct gene expression changes in human subcutaneous and visceral adipose tissue. Sci. Rep. 5, 14841 (2015).
pubmed: 26434764
pmcid: 4593186
Kaess, B. M. et al. The ratio of visceral to subcutaneous fat, a metric of body fat distribution, is a unique correlate of cardiometabolic risk. Diabetologia 55, 2622–2630 (2012).
pubmed: 22898763
pmcid: 3636065
Guilherme, A., Virbasius, J. V., Puri, V. & Czech, M. P. Adipocyte dysfunctions linking obesity to insulin resistance and type 2 diabetes. Nat. Rev. Mol. Cell Biol. 9, 367–377 (2008).
pubmed: 18401346
pmcid: 2886982
Shepherd, P. R. et al. Adipose cell hyperplasia and enhanced glucose disposal in transgenic mice overexpressing GLUT4 selectively in adipose tissue. J. Biol. Chem. 268, 22243–22246 (1993).
pubmed: 8226728
Kusminski, C. M. et al. MitoNEET-driven alterations in adipocyte mitochondrial activity reveal a crucial adaptive process that preserves insulin sensitivity in obesity. Nat. Med. 18, 1539–1549 (2012).
pubmed: 22961109
pmcid: 3745511
Yamauchi, T. et al. The mechanisms by which both heterozygous peroxisome proliferator-activated receptor gamma (PPARgamma) deficiency and PPARgamma agonist improve insulin resistance. J. Biol. Chem. 276, 41245–41254 (2001).
pubmed: 11533050
Rosen, E. D. & Spiegelman, B. M. What we talk about when we talk about fat. Cell 156, 20–44 (2014).
pubmed: 24439368
pmcid: 3934003
Corvol, H., Hodges, C. A., Drumm, M. L. & Guillot, L. Moving beyond genetics: is FAM13A a major biological contributor in lung physiology and chronic lung diseases? J. Med. Genet. 51, 646–649 (2014).
pubmed: 25163686
Sordella, R., Jiang, W., Chen, G. C., Curto, M. & Settleman, J. Modulation of Rho GTPase signaling regulates a switch between adipogenesis and myogenesis. Cell 113, 147–158 (2003).
pubmed: 12705864
Christodoulides, C., Lagathu, C., Sethi, J. K. & Vidal-Puig, A. Adipogenesis and WNT signalling. Trends Endocrinol. Metab. 20, 16–24 (2009).
pubmed: 19008118
Tang, J. et al. Obesity-associated family with sequence similarity 13, member A (FAM13A) is dispensable for adipose development and insulin sensitivity. Int. J. Obes. 43, 1269–1280 (2019).
Wardhana, D. A. et al. Family with sequence similarity 13, member A modulates adipocyte insulin signaling and preserves systemic metabolic homeostasis. Proc. Natl Acad. Sci. USA 115, 1529–1534 (2018).
pubmed: 29386390
Lundback, V. et al. FAM13A and POM121C are candidate genes for fasting insulin: functional follow-up analysis of a genome-wide association study. Diabetologia 61, 1112–1123 (2018).
pubmed: 29487953
pmcid: 6448992
Chusyd, D. E., Wang, D., Huffman, D. M. & Nagy, T. R. Relationships between rodent white adipose fat pads and human white adipose fat depots. Front. Nutr. 3, 10 (2016).
pubmed: 27148535
pmcid: 4835715
Rao, A. S. et al. Large-scale phenome-wide association study of PCSK9 loss-of-function variants demonstrates protection against ischemic stroke. Circ Genom Precis Med. 11, e002162 (2018).
pubmed: 29997226
pmcid: 6050027
Talukdar, H. A. et al. Cross-tissue regulatory gene networks in coronary artery disease. Cell Syst. 2, 196–208 (2016).
pubmed: 27135365
pmcid: 4855300
Langfelder, P. & Horvath, S. WGCNA: an R package for weighted correlation network analysis. BMC Bioinform. 9, 559 (2008).
Jin, Z. et al. Regulation of nuclear-cytoplasmic shuttling and function of Family with sequence similarity 13, member A (Fam13a), by B56-containing PP2As and Akt. Mol. Biol. Cell 26, 1160–1173 (2015).
pubmed: 25609086
pmcid: 4357514
Fischer, A. H., Jacobson, K. A., Rose, J. & Zeller, R. Hematoxylin and eosin staining of tissue and cell sections. CSH Protoc. 2008, pdb prot4986 (2008).
pubmed: 21356829
Galarraga, M. et al. Adiposoft: automated software for the analysis of white adipose tissue cellularity in histological sections. J. Lipid Res. 53, 2791–2796 (2012).
pubmed: 22993232
pmcid: 3494244
Bourgeois, F., Alexiu, A. & Lemonnier, D. Dietary-induced obesity: effect of dietary fats on adipose tissue cellularity in mice. Br. J. Nutr. 49, 17–26 (1983).
pubmed: 6821685
Knowles, J. W. et al. Identification and validation of N-acetyltransferase 2 as an insulin sensitivity gene. J. Clin. Invest. 125, 1739–1751 (2015).
pubmed: 25798622
pmcid: 4409020
Dobin, A. et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29, 15–21 (2013).
pubmed: 23104886
pmcid: 23104886
Robinson, M. D., McCarthy, D. J. & Smyth, G. K. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139–140 (2010).
pubmed: 19910308
pmcid: 19910308
Clee, S. M., Nadler, S. T. & Attie, A. D. Genetic and genomic studies of the BTBR ob/ob mouse model of type 2 diabetes. Am. J. Ther. 12, 491–498 (2005).
pubmed: 16280642
Li, J., Daly, E., Campioli, E., Wabitsch, M. & Papadopoulos, V. De novo synthesis of steroids and oxysterols in adipocytes. J. Biol. Chem. 289, 747–764 (2014).
pubmed: 24280213
Fischer-Posovszky, P., Newell, F. S., Wabitsch, M. & Tornqvist, H. E. Human SGBS cells - a unique tool for studies of human fat cell biology. Obes. Facts 1, 184–189 (2008).
pubmed: 20054179
pmcid: 6452113
Horlbeck, M. A. et al. Nucleosomes impede Cas9 access to DNA in vivo and in vitro. Elife 5, e12677 (2016).
pubmed: 26987018
pmcid: 4861601
Gilbert, L. A. et al. Genome-Scale CRISPR-mediated control of gene repression and activation. Cell 159, 647–661 (2014).
pubmed: 25307932
pmcid: 4253859