Literature DB >> 31164724

Prospective analyses of white adipose tissue gene expression in relation to long-term body weight changes.

Kelvin H M Kwok1, Mikael Rydén2, Daniel P Andersson2, Gallic Beauchef3, Christelle Guere3, Katell Vie3, Otto Bergman4, Veroniqa Lundbäck5, Peter Arner2, Ingrid Dahlman6.   

Abstract

BACKGROUND: Transcriptome analysis of abdominal subcutaneous white adipose tissue (sWAT) has identified important obesity-associated disturbances. However, the relation between sWAT transcriptome and long-term future changes in body weight remains elusive.
OBJECTIVE: To investigate sWAT transcriptome signatures before and after long-term weight changes and assess their predictive value for body weight changes.
DESIGN: A total of 56 women were followed longitudinally and subdivided into weight-stable (WS, n = 25), weight-gaining (WG, n = 14) and weight-losing (WL, n = 17) groups between baseline and follow-up (13 ± 1 years). The fasting sWAT transcriptome was analyzed by gene microarray at baseline and follow-up. Key genes associated with weight changes were validated using quantitative real-time PCR.
RESULTS: In total 285 transcripts exhibited difference (FDR < 30%) in expression fold change over time between WL and WS women. WL women displayed decreased pro-inflammatory (NLRP3) but increased insulin-response gene (FASN and GLUT4) expression over time. In comparison, 461 transcripts displayed difference in expression fold change over time between WG and WS women (P < 0.05). Genes involved in autophagic processes (CDK5, SQSTM1 and FBXL2) were generally upregulated in WG women. At baseline, 307 and 302 transcripts were differentially expressed (FDR < 30%) in WL and WG women, respectively, when independently compared against WS women. Baseline expression of adipogenic and lipogenic genes (PPARG, IRS2 and HACD2) was lower, while pro-fibrotic (COL6A1) was higher, in WL than WS women; whereas protein processing genes were lower expressed in WG than in WS women.
CONCLUSION: In adult women, long-term body weight change associates with altered sWAT transcriptome. Expression of genes associated with inflammation, insulin response, adipogenesis and lipogenesis are linked to weight loss. However, other pathways such as autophagy not only associate but also predict future weight gain suggesting that intrinsic factors in sWAT impact tissue expansion.

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Year:  2019        PMID: 31164724     DOI: 10.1038/s41366-019-0385-1

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  49 in total

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Journal:  Am J Clin Nutr       Date:  2013-10-30       Impact factor: 7.045

2.  Does basal metabolic rate predict weight gain?

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3.  Insulin resistance associated with lower rates of weight gain in Pima Indians.

Authors:  B A Swinburn; B L Nyomba; M F Saad; F Zurlo; I Raz; W C Knowler; S Lillioja; C Bogardus; E Ravussin
Journal:  J Clin Invest       Date:  1991-07       Impact factor: 14.808

4.  Energy expenditure and substrate oxidation predict changes in body fat in children.

Authors:  James P DeLany; George A Bray; David W Harsha; Julia Volaufova
Journal:  Am J Clin Nutr       Date:  2006-10       Impact factor: 7.045

5.  Lower energy expenditure predicts long-term increases in weight and fat mass.

Authors:  Paolo Piaggi; Marie S Thearle; Clifton Bogardus; Jonathan Krakoff
Journal:  J Clin Endocrinol Metab       Date:  2013-02-15       Impact factor: 5.958

6.  Insulin sensitivity as a predictor of weight regain.

Authors:  R R Wing
Journal:  Obes Res       Date:  1997-01

7.  Differences in insulin resistance do not predict weight loss in response to hypocaloric diets in healthy obese women.

Authors:  T McLaughlin; F Abbasi; M Carantoni; P Schaaf; G Reaven
Journal:  J Clin Endocrinol Metab       Date:  1999-02       Impact factor: 5.958

8.  Body weight, not insulin sensitivity or secretion, may predict spontaneous weight changes in nondiabetic and prediabetic subjects: the RISC study.

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Journal:  Diabetes       Date:  2011-05-26       Impact factor: 9.461

Review 9.  Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis.

Authors:  Katherine M Flegal; Brian K Kit; Heather Orpana; Barry I Graubard
Journal:  JAMA       Date:  2013-01-02       Impact factor: 56.272

10.  Association between class III obesity (BMI of 40-59 kg/m2) and mortality: a pooled analysis of 20 prospective studies.

Authors:  Cari M Kitahara; Alan J Flint; Amy Berrington de Gonzalez; Leslie Bernstein; Michelle Brotzman; Robert J MacInnis; Steven C Moore; Kim Robien; Philip S Rosenberg; Pramil N Singh; Elisabete Weiderpass; Hans Olov Adami; Hoda Anton-Culver; Rachel Ballard-Barbash; Julie E Buring; D Michal Freedman; Gary E Fraser; Laura E Beane Freeman; Susan M Gapstur; John Michael Gaziano; Graham G Giles; Niclas Håkansson; Jane A Hoppin; Frank B Hu; Karen Koenig; Martha S Linet; Yikyung Park; Alpa V Patel; Mark P Purdue; Catherine Schairer; Howard D Sesso; Kala Visvanathan; Emily White; Alicja Wolk; Anne Zeleniuch-Jacquotte; Patricia Hartge
Journal:  PLoS Med       Date:  2014-07-08       Impact factor: 11.069

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  1 in total

1.  Prolonged fasting drives a program of metabolic inflammation in human adipose tissue.

Authors:  Pouneh K Fazeli; Yang Zhang; John O'Keefe; Tristan Pesaresi; Mingyue Lun; Brian Lawney; Matthew L Steinhauser
Journal:  Mol Metab       Date:  2020-09-28       Impact factor: 7.422

  1 in total

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