Literature DB >> 35620163

Update cognition of nonalcoholic fatty liver disease/metabolism-associated fatty liver disease.

Weijun Gu1, Yiming Mu1.   

Abstract

Entities:  

Keywords:  metabolism associated fatty liver disease; nonalcoholic fatty liver disease

Year:  2022        PMID: 35620163      PMCID: PMC9128561          DOI: 10.1002/cdt3.14

Source DB:  PubMed          Journal:  Chronic Dis Transl Med        ISSN: 2095-882X


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Nonalcoholic fatty liver disease (NAFLD) is a clinicopathological syndrome characterized by hepatic steatosis, excluding alcohol and other clear liver damage factors, including NAFL, nonalcoholic steatohepatitis (NASH), liver fibrosis, liver cirrhosis, and even liver cancer. NAFLD can progress from NAFL to NASH and then to cirrhosis, liver cancer, end‐stage liver disease, or even liver failure. NAFLD has become the most common cause of chronic liver disease, an emerging public health problem with an increasing prevalence in China. The global prevalence of NAFLD is as high as 25%. The prevalence of NAFLD in China is 29.2% and continues to rise. With a deeper understanding of the disease, increasing evidence has shown that NAFLD is a group of highly heterogeneous diseases, which is closely related to metabolic dysfunctions such as insulin resistance (IR), central obesity, dyslipidemia, hypertension, and hyperglycemia. It is the manifestation of metabolic syndrome in the liver. In 2020, more than 30 experts from 22 countries officially issued an international expert consensus statement to change the name of NAFLD to metabolism‐associated fatty liver disease (MAFLD). Whether to drink alcohol is no longer mentioned in the definition of MAFLD to avoid the possible diagnostic contradiction when alcoholic liver disease and MAFLD coexist. The new nomenclature highlights the central position of metabolic factors leading to liver fat deposition in MAFLD. Since the prevalence of NAFLD and the mechanism of NAFLD progression are unclear, it is very important to clarify the potential mechanism of NAFLD in detail. According to the definition of “metabolism”, the latest name of the disease suggests that environmental factors are more important than genetic determinants. However, the interreaction of environmental and genetic factors that promote liver disease is unclear. The definition of MAFLD inevitably includes the presence of metabolite abnormalities. Although there is a possibility that environmental and genetic factors contribute to MAFLD, there is an orphan scenario that cannot be included in the scope of MAFLD, which is genetically acquired fatty liver disease (GAFLD) and hereditary hepatic steatosis without metabolic correlation. Fat accumulation, prevalence of NASH, and progression to advanced fibrosis are more likely to occur in patients with PNPLA3I148M gene mutation if there is no more severe IR. In addition, PNPLA3I148M gene variation plays an important role in lean patients with NAFLD with no Type 2 diabetes. This supports the concept that genetic variation may play a key role in lean NAFLD patients who may have GAFLD and do not meet the MAFLD criteria. Metwally et al. examined the relationship between copy number variations (CNVs) in exportin 4 (XPO4) with liver damage in MAFLD in a large cohort of patients and provided yet another proof that genetic variants may play an important role in some patients with hepatic steatosis. Only a few prior studies have examined the role of CNVs in the development or progression of NAFLD, and XPO4 CNVs have only been previously examined in an Asian population. In recent years, many research teams in China have made significant contributions in mining hub genes or key genes and pathways of NAFLD using microarray technology; however, they remain unable to fundamentally elaborate the pathophysiological mechanism of the disease. , , , , , The present study integrated the available microarray datasets of human NAFLD liver tissues to perform comprehensive bioinformatic analysis of differentially expressed genes (DEGs), and hub genes were screened from a protein–protein interaction network and were verified using reverse real‐time‐quantitative polymerase chain reaction in a mouse model of NAFLD. This comprehensive analysis determined the candidate genes and pathways of NAFLD, as well as the DEGS and HUB genes associated with NAFLD in silico and in vitro. We identified 57 DEGs in mild and advanced NAFLD liver tissues. Nevertheless, further studies are required to clarify the detailed functions and specific mechanisms of these hub genes in the development and progression of NAFLD. Based on these results, this genetic variant may not play a key role in the development of NAFLD. The answer may lie not only in one but in a combination of different genetic variants. The exact mechanism of NAFLD remains unclear, and there are no specific drugs for NAFLD. Therefore, innovative therapeutic strategies are required.

CONFLICT OF INTERESTS

The authors declare no conflict of interest. Professor Yiming Mu is a member of Chronic Diseases and Translational Medicine editorial board and is not involved in the peer review process of this article.
  13 in total

Review 1.  A new definition for metabolic dysfunction-associated fatty liver disease: An international expert consensus statement.

Authors:  Mohammed Eslam; Philip N Newsome; Shiv K Sarin; Quentin M Anstee; Giovanni Targher; Manuel Romero-Gomez; Shira Zelber-Sagi; Vincent Wai-Sun Wong; Jean-François Dufour; Jörn M Schattenberg; Takumi Kawaguchi; Marco Arrese; Luca Valenti; Gamal Shiha; Claudio Tiribelli; Hannele Yki-Järvinen; Jian-Gao Fan; Henning Grønbæk; Yusuf Yilmaz; Helena Cortez-Pinto; Claudia P Oliveira; Pierre Bedossa; Leon A Adams; Ming-Hua Zheng; Yasser Fouad; Wah-Kheong Chan; Nahum Mendez-Sanchez; Sang Hoon Ahn; Laurent Castera; Elisabetta Bugianesi; Vlad Ratziu; Jacob George
Journal:  J Hepatol       Date:  2020-04-08       Impact factor: 25.083

Review 2.  Toward Genetic Prediction of Nonalcoholic Fatty Liver Disease Trajectories: PNPLA3 and Beyond.

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Review 3.  Non-alcoholic fatty liver disease as a cause and a consequence of metabolic syndrome.

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4.  Candidate genes investigation for severe nonalcoholic fatty liver disease based on bioinformatics analysis.

Authors:  Shan Qi; Changhong Wang; Chunfu Li; Pu Wang; Minghui Liu
Journal:  Medicine (Baltimore)       Date:  2017-08       Impact factor: 1.889

5.  Key genes associated with non-alcoholic fatty liver disease and acute myocardial infarction.

Authors:  Weiran Dai; Yue Sun; Zhiyuan Jiang; Kuan Du; Ning Xia; Guoqiang Zhong
Journal:  Med Sci Monit       Date:  2020-06-28

6.  Identification of genes in hepatocellular carcinoma induced by non-alcoholic fatty liver disease.

Authors:  Changzhou Cai; Xin Song; Chaohui Yu
Journal:  Cancer Biomark       Date:  2020       Impact factor: 4.388

7.  Integrated Multichip Analysis Identifies Potential Key Genes in the Pathogenesis of Nonalcoholic Steatohepatitis.

Authors:  Jianzhong Ye; Yishuai Lin; Qing Wang; Yating Li; Yajie Zhao; Lijiang Chen; Qing Wu; Chunquan Xu; Cui Zhou; Yao Sun; Wanchun Ye; Fumao Bai; Tieli Zhou
Journal:  Front Endocrinol (Lausanne)       Date:  2020-11-26       Impact factor: 5.555

8.  Identification of hub genes and key pathways of dietary advanced glycation end products‑induced non‑alcoholic fatty liver disease by bioinformatics analysis and animal experiments.

Authors:  Jiao Wang; Honghong Liu; Guijiao Xie; Wei Cai; Jixiong Xu
Journal:  Mol Med Rep       Date:  2019-12-09       Impact factor: 2.952

9.  Copy number variation and expression of exportin-4 associates with severity of fibrosis in metabolic associated fatty liver disease.

Authors:  Mayada Metwally; Ali Bayoumi; Anis Khan; Leon A Adams; Rocio Aller; Carmelo García-Monzón; María Teresa Arias-Loste; Elisabetta Bugianesi; Luca Miele; Alisi Anna; Olivier Latchoumanin; Shuanglin Han; Shafi Alenizi; Rasha El Sharkawy; Afaf Elattar; Rocio Gallego-Durán; Janett Fischer; Thomas Berg; Christopher Liddle; Manuel Romero-Gomez; Jacob George; Mohammed Eslam
Journal:  EBioMedicine       Date:  2021-08-11       Impact factor: 8.143

10.  Association between non-alcoholic fatty liver disease and cancer incidence rate.

Authors:  Gi-Ae Kim; Han Chu Lee; Jaewon Choe; Min-Ju Kim; Min Jung Lee; Hye-Sook Chang; In Young Bae; Hong-Kyu Kim; Jihyun An; Ju Hyun Shim; Kang Mo Kim; Young-Suk Lim
Journal:  J Hepatol       Date:  2017-11-02       Impact factor: 25.083

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