Literature DB >> 32892365

Circulating lipidomic alterations in obese and non-obese subjects with non-alcoholic fatty liver disease.

Youngae Jung1, Min Kyung Lee1, Puneet Puri2, Bo Kyung Koo1, Sae Kyung Joo1, Seo Young Jang1, Dong Hyeon Lee1, Yong Jin Jung1, Byeong Gwan Kim1, Kook Lae Lee1, Tae-Sik Park3, Ki-Tae Kang4, Do Hyun Ryu4, Sang Won Kang1, Donghee Kim5, Sohee Oh1, Won Kim1, Geum-Sook Hwang1.   

Abstract

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects obese and non-obese individuals. However, mechanisms underlying non-obese non-alcoholic steatohepatitis (NASH) remain unclear. AIMS: To attempt to identify metabolic perturbations associated with non-obese and obese NAFLD using a lipidomics approach.
METHODS: A cross-sectional analysis of 361 subjects with biopsy-proven NAFLD (157 NAFL and 138 NASH) and healthy controls (n = 66) was performed. Individuals were categorised as obese or non-obese based on the Asian cut-off for body mass index. Circulating lipidomic profiling of sera was performed based on the histological severity of NAFLD. Circulating lipidomic alterations were validated with an independent validation set (154 NAFLD subjects [93 NAFL and 61 NASH] and 21 healthy controls).
RESULTS: Saturated sphingomyelin (SM) species were significantly associated with visceral adiposity in non-obese NAFLD (SM d38:0; P < 0.001) but not in obese NAFLD. Additionally, SM levels were significantly associated with systemic and adipose tissue insulin resistance (SM d38:0; P = 0.002 and <0.001, respectively). Five potential lipid metabolites for non-obese subjects and seven potential lipids for obese subjects were selected to predict NAFLD and NASH. These lipid combinations showed good diagnostic performance for non-obese (area under the curve [AUC] for NAFLD/NASH = 0.916/0.813) and obese (AUC for NAFLD/NASH = 0.967/0.812) subjects. Moreover, distinctly altered patterns of diacylglycerol (DAG), triacylglycerol (TAG) and SM levels were confirmed in the validation set depending on the histological severity of NAFLD.
CONCLUSION: Non-obese and obese NAFLD subjects exhibit unique circulating lipidomic signatures, including DAGs, TAGs and SMs. These lipid combinations may be useful biomarkers for non-obese and obese NAFLD patients.
© 2020 John Wiley & Sons Ltd.

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Year:  2020        PMID: 32892365     DOI: 10.1111/apt.16066

Source DB:  PubMed          Journal:  Aliment Pharmacol Ther        ISSN: 0269-2813            Impact factor:   8.171


  7 in total

Review 1.  Advance of Serum Biomarkers and Combined Diagnostic Panels in Nonalcoholic Fatty Liver Disease.

Authors:  Yuping Zeng; He He; Zhenmei An
Journal:  Dis Markers       Date:  2022-06-29       Impact factor: 3.464

2.  Postprandial Plasma Lipidomics Reveal Specific Alteration of Hepatic-derived Diacylglycerols in Nonalcoholic Fatty Liver Disease.

Authors:  Thomas J Velenosi; Gil Ben-Yakov; Maren C Podszun; Julian Hercun; Ohad Etzion; Shanna Yang; Cathy Nadal; Vanessa Haynes-Williams; Wen-Chun A Huang; Lila González-Hódar; Robert J Brychta; Shogo Takahashi; Vikas Akkaraju; Kristopher W Krausz; Mary Walter; Hongyi Cai; Peter J Walter; Ranganath Muniyappa; Kong Y Chen; Frank J Gonzalez; Yaron Rotman
Journal:  Gastroenterology       Date:  2022-03-10       Impact factor: 33.883

Review 3.  Lifestyle Interventions for Non-Obese Patients Both with, and at Risk, of Non-Alcoholic Fatty Liver Disease.

Authors:  Xin-Lei Zhang; Ting-Yao Wang; Giovanni Targher; Christopher D Byrne; Ming-Hua Zheng
Journal:  Diabetes Metab J       Date:  2022-05-25       Impact factor: 5.893

4.  Pharmacodynamic effects of direct AMP kinase activation in humans with insulin resistance and non-alcoholic fatty liver disease: A phase 1b study.

Authors:  Pascale Fouqueray; Sebastien Bolze; Julie Dubourg; Sophie Hallakou-Bozec; Pierre Theurey; Jean-Marie Grouin; Clémence Chevalier; Pascale Gluais-Dagorn; David E Moller; Kenneth Cusi
Journal:  Cell Rep Med       Date:  2021-12-21

Review 5.  Diagnostic Modalities of Non-Alcoholic Fatty Liver Disease: From Biochemical Biomarkers to Multi-Omics Non-Invasive Approaches.

Authors:  Eirini Martinou; Marinos Pericleous; Irena Stefanova; Vasha Kaur; Angeliki M Angelidi
Journal:  Diagnostics (Basel)       Date:  2022-02-04

6.  Adiposity, metabolomic biomarkers, and risk of nonalcoholic fatty liver disease: a case-cohort study.

Authors:  Yuanjie Pang; Christiana Kartsonaki; Jun Lv; Iona Y Millwood; Zammy Fairhurst-Hunter; Iain Turnbull; Fiona Bragg; Michael R Hill; Canqing Yu; Yu Guo; Yiping Chen; Ling Yang; Robert Clarke; Robin G Walters; Ming Wu; Junshi Chen; Liming Li; Zhengming Chen; Michael V Holmes
Journal:  Am J Clin Nutr       Date:  2022-03-04       Impact factor: 8.472

Review 7.  Role and Treatment of Insulin Resistance in Patients with Chronic Kidney Disease: A Review.

Authors:  Akio Nakashima; Kazuhiko Kato; Ichiro Ohkido; Takashi Yokoo
Journal:  Nutrients       Date:  2021-12-02       Impact factor: 5.717

  7 in total

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