Literature DB >> 25453978

Interactions between adiponectin, visfatin, and omentin in subcutaneous and visceral adipose tissues and serum, and correlations with clinical and peripheral metabolic factors.

Chantacha Sitticharoon, Nay Chi Nway, Saimai Chatree, Malika Churintaraphan, Peerada Boonpuan, Pailin Maikaew.   

Abstract

Adiponectin, visfatin, and omentin are adipokines involved in insulin sensitivity. This study aimed to determine interactions between these adipokines in subcutaneous and visceral fat and in serum, and their associations with clinical factors. Adiponectin was present at the highest levels in subcutaneous and visceral fat and serum. Subcutaneous adiponectin showed positive correlations with serum adiponectin and the quantitative insulin sensitivity check index (QUICKI). Serum adiponectin correlated positively with QUICKI and serum omentin-1 but negatively with body weight, BMI, and homeostasis model assessment of insulin resistance (HOMA-IR). Subcutaneous omentin correlated positively with QUICKI but negatively with waist and hip circumferences. Serum omentin-1 correlated positively with QUICKI but negatively with body weight, BMI, waist and hip circumferences, weight gain, and HOMA-IR. Serum visfatin correlated positively with serum omentin-1 and negatively with weight gain. Serum peptide YY (PYY) levels were correlated positively with subcutaneous visfatin but negatively with visceral visfatin. Positive correlations were observed between subcutaneous expression of adiponectin, visfatin, and omentin and visceral expression of these genes. Multiple linear regression analysis showed that serum adiponectin was associated with BMI and QUICKI. Serum omentin-1 could be predicted from BMI, QUICKI, and weight gain. Weight gain, serum adiponectin, omentin-1, and DBP could be used to predict serum visfatin. In conclusion, adiponectin and omentin from subcutaneous fat displayed correlations with decreased obesity and increased insulin sensitivity while visfatin showed an association with serum PYY and weight gain. The expressions of these adipokines were correlated within each type of fat but not between different fat depots.

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Year:  2014        PMID: 25453978     DOI: 10.1016/j.peptides.2014.10.006

Source DB:  PubMed          Journal:  Peptides        ISSN: 0196-9781            Impact factor:   3.750


  6 in total

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Authors:  M I Peña-Cano; J Valencia-Ortega; E Morales-Ávila; M F Díaz-Velázquez; R Gómez-Díaz; R Saucedo
Journal:  J Endocrinol Invest       Date:  2021-09-04       Impact factor: 4.256

2.  Alterations in metabolic biomarkers and their potential role in amyotrophic lateral sclerosis.

Authors:  Jin-Yue Li; Li-Ying Cui; Xiao-Han Sun; Dong-Chao Shen; Xun-Zhe Yang; Qing Liu; Ming-Sheng Liu
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Authors:  Parvin Babaei; Rastegar Hoseini
Journal:  Sports Med Health Sci       Date:  2022-01-20

4.  Adipose Y5R mRNA is higher in obese than non-obese humans and is correlated with obesity parameters.

Authors:  Saimai Chatree; Chantacha Sitticharoon; Pailin Maikaew; Panapat Uawithya; Supornpim Chearskul
Journal:  Exp Biol Med (Maywood)       Date:  2018-05

5.  Relationships between serum omentin-1 concentration, body composition and physical activity levels in older women.

Authors:  Shuo Li; Jingjing Xue; Ping Hong
Journal:  Medicine (Baltimore)       Date:  2021-03-12       Impact factor: 1.817

Review 6.  Neuroendocrinological and Epigenetic Mechanisms Subserving Autonomic Imbalance and HPA Dysfunction in the Metabolic Syndrome.

Authors:  Erwin Lemche; Oleg S Chaban; Alexandra V Lemche
Journal:  Front Neurosci       Date:  2016-04-14       Impact factor: 4.677

  6 in total

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