Evidence mapPaperPMID 38699515Full record

ArticleJournal of clinical and experimental hepatology

Adipokine (adiponectin-rs1501299) Gene Variant and Patient Characteristics in Relation to Metabolic-associated Fatty Liver Disease.

Amal A Mohamed, Soha Hassanin, Ahmed A Mohamed, Dalia Zaafar, Rasha Mohamed, Mohamed B Hassan, Al-Shaymaa A Hassanin, Eman Alsayed Abouahmad, Mohamed A Sakr, Soha M Abd El Salam and 6 more

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Article in Journal of clinical and experimental hepatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Amal A MohamedDepartment of Biochemistry, National Hepatology and Tropical Medicine Research Institute, GOTHI, Cairo, Egypt.
Soha HassaninDepartment of Biochemistry, Faculty of Pharmacy, Modern University for Technology and Information, Egypt.
Ahmed A MohamedIntensive Care Department, Theodor Bilharz Research Institute (TBRI), El-Nile St., Warrak El-Hader, Imbaba Giza, Egypt.
Dalia ZaafarClinical Pharmacology Department, Faculty of Pharmacy, Modern University for Technology and Information, Egypt.
Rasha MohamedDepartment of Internal Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.
Mohamed B HassanDepartment of Internal Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.
Al-Shaymaa A HassaninDepartment of Tropical Medicine and Gastroenterology, Faculty of Medicine, Minia University, Egypt.
Eman Alsayed AbouahmadDepartment of Clinical Pathology, Faculty of Medicine, Minia University, Egypt.
Mohamed A SakrDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Suez University, P.O. Box: 43221, Suez, Egypt.
Soha M Abd El SalamDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Suez University, P.O. Box: 43221, Suez, Egypt.
Reem A M AbdelghafourDepartment of Internal Medicine, Damanhur National Medical Institute, GOTHI, Egypt.
Nashwa M MuharramMedical Biochemistry and Molecular Biology, Faculty of Medicine, Menoufia University, Egypt.
Marwa K DarwishChemistry Department (Biochemistry Branch), Faculty of Science, Suez University, Suez, P.O. 43518, Egypt.
Saadia FariedDepartment of Tropical Medicine, National Hepatology and Tropical Medicine Research Institute, GOTHI, Cairo, Egypt.
Karmia NasraldinFaculty of Biotechnology, Modern Science and Arts University, Egypt.
Wael HafezInternal Medicine Department, Medical Research and Clinical Studies Institute, 33 El Buhouth St, Ad Doqi, Dokki, Cairo Governorate 12622, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Several genetic and metabolic variables, most notably the variation in the adipokine gene rs1501298, have been linked to metabolic-associated fatty liver disease etiopathogenesis (MAFLD). Liver biopsy, the gold standard for diagnosing MAFLD, is an invasive procedure; therefore, alternative diagnostic methods are required. Consequently, the integration of these metabolic variables with some of the patients' characteristics may facilitate the development of noninvasive diagnostic methods that aid in the early detection of MAFLD, identification of at-risk individuals and planning of management strategies. Methods: This study included 224 Egyptians (107 healthy individuals and 117 MAFLD patients). Age, sex, BMI, clinical and laboratory characteristics, and rs1501299 adipokine gene polymorphisms were examined. The rs1501299 variant, insulin resistance, hypertension, obesity, blood pressure, lipid profile, hemoglobin A1C level, and hepatic fibrosis predictors were evaluated for MAFLD risk. The feasibility and effectiveness of developing non-invasive MAFLD diagnostic models will be investigated. Results: The +276G/T (rs1501299) polymorphism (GG vs GT/TT) was linked with MAFLD (OR: 0.43, CI: 0.26-0.69, Conclusion: The Adipokine variant rs1501299 increased the risk of MAFLD. Identifying and genotyping this variation and other metabolic variables allow for a noninvasive diagnostic model for early MAFLD diagnosis and identification of those at risk. This study illuminates the prevention and management of MAFLD. Further research with more participants is needed to verify these models and to prove their MAFLD diagnostic efficacy.

Indexed as

adipokine gene polymorphismhepatic indicesmetabolic metabolic-associated fatty liver diseasemetabolic syndrome

Identifiers

PMID38699515
PMCPMC11060945

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.