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Liu J, Duan S, Wang C, Wang Y, Peng H, Niu Z, Yao S. Optimum non-invasive predictive indicators for metabolic dysfunction-associated fatty liver disease and its subgroups in the Chinese population: A retrospective case-control study. Front Endocrinol (Lausanne) 2022; 13:1035418. [PMID: 36531447 PMCID: PMC9751395 DOI: 10.3389/fendo.2022.1035418] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 11/15/2022] [Indexed: 12/04/2022] Open
Abstract
OBJECTIVE Metabolic dysfunction-associated fatty liver disease (MAFLD) affects 25% of the population without approved drug therapy. According to the latest consensus, MAFLD is divided into three subgroups based on different diagnostic modalities, including Obesity, Lean, and Type 2 diabetes mellitus (T2DM) MAFLD subgroups. This study aimed to find out the optimum non-invasive metabolism-related indicators to respectively predict MAFLD and its subgroups. DESIGN 1058 Chinese participants were enrolled in this study. Anthropometric measurements, laboratory data, and ultrasonography features were collected. 22 metabolism-related indexes were calculated, including fatty liver index (FLI), lipid accumulation product (LAP), waist circumference-triglyceride index (WTI), etc. Logistic regression analyzed the correlation between indexes and MAFLD. Receiver operating characteristics were conducted to compare predictive values among 22 indicators for screening the best indicators to predict MAFLD in different subgroups. RESULTS FLI was the best predictor with the maximum odds ratio (OR) values of overall MAFLD (OR: 6.712, 95%CI: 4.766-9.452, area under the curve (AUC): 0.879, P < 0.05) and T2DM MAFLD subgroup (OR: 14.725, 95%CI: 3.712-58.420, AUC: 0.958, P < 0.05). LAP was the best predictor with the maximum OR value of Obesity MAFLD subgroup (OR: 2.689, 95%CI: 2.182-3.313, AUC: 0.796, P < 0.05). WTI was the best predictor with the maximum OR values of Lean MAFLD subgroup (OR: 3.512, 95%CI: 2.286-5.395, AUC: 0.920, P < 0.05). CONCLUSION The best predictors of overall MAFLD, Obesity, Lean, and T2DM MAFLD subgroups were respectively FLI, LAP, WTI, and FLI.
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Affiliation(s)
- Jing Liu
- Graduate School, Peking Union Medical College, Beijing, China
- Department of Gastroenterology, China-Japan Friendship Hospital, Beijing, China
| | - Shaojie Duan
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Che Wang
- School of Qi Huang, Beijing University of Chinese Medicine, Beijing, China
| | - Yutong Wang
- School of Qi Huang, Beijing University of Chinese Medicine, Beijing, China
| | - Hongye Peng
- Department of Infection, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zuohu Niu
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Shukun Yao
- Department of Gastroenterology, China-Japan Friendship Hospital, Beijing, China
- *Correspondence: Shukun Yao,
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Di Stasi V, Maseroli E, Rastrelli G, Scavello I, Cipriani S, Todisco T, Marchiani S, Sorbi F, Fambrini M, Petraglia F, Maggi M, Vignozzi L. SHBG as a Marker of NAFLD and Metabolic Impairments in Women Referred for Oligomenorrhea and/or Hirsutism and in Women With Sexual Dysfunction. Front Endocrinol (Lausanne) 2021; 12:641446. [PMID: 33854482 PMCID: PMC8040974 DOI: 10.3389/fendo.2021.641446] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 02/17/2021] [Indexed: 12/20/2022] Open
Abstract
PCOS is one of the most common endocrine disorders and NAFLD is one of its most dangerous metabolic consequences. The diagnosis of NAFLD is not a practical task and the condition is at risk of being overlooked. The use of simpler but still reliable surrogate markers is necessary to identify women with a high likelihood of NAFLD. The aim of this study was to evaluate the clinical correlates of NAFLD Liver Fat Score (NAFLD-LFS) in women with oligomenorrhea and/or hirsutism. Furthermore, the study aimed to evaluate whether, among the hormonal parameters evaluated in such women, possible hallmarks of NAFLD may be identified. To this purpose, 66 women who attended our Outpatient Clinic for oligomenorrhea and/or hyperandrogenism were included in the study. In order to validate the results obtained in the first cohort, a second independent sample of 233 women evaluated for female sexual dysfunction (FSD) was analyzed. In cohort 1, NAFLD-LFS positively correlated with metabolic and inflammatory parameters. Among the hormone parameters, NAFLD-LFS showed no significant relationships with androgens but a significant negative correlation with SHBG (p<0.0001) that therefore appeared as a candidate hallmark for pathologic NAFLD-LFS. The ROC analysis showed a significant accuracy (81.1%, C.I.69.1-93.0, p <0.0001) for SHBG in identifying women with a pathological NAFLD-LFS. In particular, a SHBG 33.4 nmol/l was recognized as the best threshold, with a sensitivity of 73.3% and a specificity of 70.7%. In order to validate this SHBG as a marker of metabolic impairment possible related with the presence of NAFLD, we tested this threshold in cohort 2. FSD women with SHBG <33.4 nmol/l had worse metabolic parameters than women with SHBG ≥33.4 nmol/l and a significantly higher NAFLD-LFS even after adjusting for confounders (B=4.18 [2.05; 6.31], p=0.001). In conclusion, this study provides a new evidence in the diagnostic process of NAFLD, showing that the measurement of SHBG, which is routinely assessed in the workup of women referred for possible PCOS, could identify women at higher metabolic risk, thus detecting those who may deserve further targeted diagnostic assessment.
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Affiliation(s)
- Vincenza Di Stasi
- Andrology, Women’s Endocrinology and Gender Incongruence Unit, Department of Experimental Clinical and Biomedical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Elisa Maseroli
- Andrology, Women’s Endocrinology and Gender Incongruence Unit, Department of Experimental Clinical and Biomedical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Giulia Rastrelli
- Andrology, Women’s Endocrinology and Gender Incongruence Unit, Department of Experimental Clinical and Biomedical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Irene Scavello
- Andrology, Women’s Endocrinology and Gender Incongruence Unit, Department of Experimental Clinical and Biomedical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Sarah Cipriani
- Andrology, Women’s Endocrinology and Gender Incongruence Unit, Department of Experimental Clinical and Biomedical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Tommaso Todisco
- Andrology, Women’s Endocrinology and Gender Incongruence Unit, Department of Experimental Clinical and Biomedical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Sara Marchiani
- Andrology, Women’s Endocrinology and Gender Incongruence Unit, Department of Experimental Clinical and Biomedical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Flavia Sorbi
- Gynecology Unit, Department of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Massimiliano Fambrini
- Gynecology Unit, Department of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Felice Petraglia
- Gynecology Unit, Department of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Mario Maggi
- Endocrinology Unit, Department of Experimental Clinical and Biomedical Sciences “Mario Serio,” University of Florence, Florence, Italy
- I.N.B.B. (Istituto Nazionale Biostrutture e Biosistemi), Rome, Italy
| | - Linda Vignozzi
- Andrology, Women’s Endocrinology and Gender Incongruence Unit, Department of Experimental Clinical and Biomedical Sciences “Mario Serio,” University of Florence, Florence, Italy
- I.N.B.B. (Istituto Nazionale Biostrutture e Biosistemi), Rome, Italy
- *Correspondence: Linda Vignozzi,
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Pillai SS, Lakhani HV, Zehra M, Wang J, Dilip A, Puri N, O’Hanlon K, Sodhi K. Predicting Nonalcoholic Fatty Liver Disease through a Panel of Plasma Biomarkers and MicroRNAs in Female West Virginia Population. Int J Mol Sci 2020; 21:ijms21186698. [PMID: 32933141 PMCID: PMC7554851 DOI: 10.3390/ijms21186698] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 09/04/2020] [Accepted: 09/11/2020] [Indexed: 02/07/2023] Open
Abstract
(1) Background: Nonalcoholic fatty liver disease (NAFLD) is primarily characterized by the presence of fatty liver, hepatic inflammation and fibrogenesis eventually leading to nonalcoholic steatohepatitis (NASH) or cirrhosis. Obesity and diabetes are common risk factors associated with the development and progression of NAFLD, with one of the highest prevalence of these diseased conditions in the West Virginia population. Currently, the diagnosis of NAFLD is limited to radiologic studies and biopsies, which are not cost-effective and highly invasive. Hence, this study aimed to develop a panel and assess the progressive levels of circulatory biomarkers and miRNA expression in patients at risk for progression to NASH to allow early intervention strategies. (2) Methods: In total, 62 female patients were enrolled and blood samples were collected after 8–10 h of fasting. Computed tomography was performed on abdomen/pelvis following IV contrast administration. The patients were divided into the following groups: Healthy subjects with normal BMI and normal fasting blood glucose (Control, n = 20), Obese with high BMI and normal fasting blood glucose (Obese, n = 20) and Obese with high fasting blood glucose (Obese + DM, n = 22). Based on findings from CT, another subset was created from Obese + DM group with patients who showed signs of fatty liver infiltration (Obese + DM(FI), n = 10). ELISA was performed for measurement of plasma biomarkers and RT-PCR was performed for circulating miRNA expression. (3) Results: Our results show significantly increased levels of plasma IL-6, Leptin and FABP-1, while significantly decreased level of adiponectin in Obese, Obese + DM and Obese + DM(FI) group, as compared to healthy controls. The level of CK-18 was significantly increased in Obese + DM(FI) group as compared to control. Subsequently, the expression of miR-122, miR-34a, miR-375, miR-16 and miR-21 was significantly increased in Obese + DM and Obese + DM(FI) group as compared to healthy control. Our results also show distinct correlation of IL-6, FABP-1 and adiponectin levels with the expression of miRNAs in relation to the extent of NAFLD progression. (4) Conclusion: Our results support the clinical application of these biomarkers and miRNAs in monitoring the progression of NAFLD, suggesting a more advanced diagnostic potential of this panel than conventional methods. This panel may provide an appropriate method for early prognosis and management of NAFLD and subsequent adverse hepatic pathophysiology, potentially reducing the disease burden on the West Virginia population.
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Affiliation(s)
- Sneha S. Pillai
- Departments of Surgery and Biomedical Sciences, Marshall University Joan C. Edwards School of Medicine, Huntington, WV 25701, USA; (S.S.P.); (H.V.L.); (M.Z.); (J.W.); (A.D.)
| | - Hari Vishal Lakhani
- Departments of Surgery and Biomedical Sciences, Marshall University Joan C. Edwards School of Medicine, Huntington, WV 25701, USA; (S.S.P.); (H.V.L.); (M.Z.); (J.W.); (A.D.)
| | - Mishghan Zehra
- Departments of Surgery and Biomedical Sciences, Marshall University Joan C. Edwards School of Medicine, Huntington, WV 25701, USA; (S.S.P.); (H.V.L.); (M.Z.); (J.W.); (A.D.)
| | - Jiayan Wang
- Departments of Surgery and Biomedical Sciences, Marshall University Joan C. Edwards School of Medicine, Huntington, WV 25701, USA; (S.S.P.); (H.V.L.); (M.Z.); (J.W.); (A.D.)
| | - Anum Dilip
- Departments of Surgery and Biomedical Sciences, Marshall University Joan C. Edwards School of Medicine, Huntington, WV 25701, USA; (S.S.P.); (H.V.L.); (M.Z.); (J.W.); (A.D.)
| | - Nitin Puri
- Departments of Biomedical Sciences and Medical Education, Marshall University Joan C. Edwards School of Medicine, Huntington, WV 25701, USA;
| | - Kathleen O’Hanlon
- Departments of Family Medicine, Marshall University Joan C. Edwards School of Medicine, Huntington, WV 25701, USA;
| | - Komal Sodhi
- Departments of Surgery and Biomedical Sciences, Marshall University Joan C. Edwards School of Medicine, Huntington, WV 25701, USA; (S.S.P.); (H.V.L.); (M.Z.); (J.W.); (A.D.)
- Correspondence: ; Tel.: +1-(304)-691-1704; Fax: +1-(914)-347-4956
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Kupčová V, Fedelešová M, Bulas J, Kozmonová P, Turecký L. Overview of the Pathogenesis, Genetic, and Non-Invasive Clinical, Biochemical, and Scoring Methods in the Assessment of NAFLD. Int J Environ Res Public Health 2019; 16:E3570. [PMID: 31554274 DOI: 10.3390/ijerph16193570] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 09/16/2019] [Accepted: 09/20/2019] [Indexed: 02/06/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the most prevalent chronic liver disease worldwide. It represents a range of disorders, including simple steatosis, nonalcoholic steatohepatitis (NASH), and liver cirrhosis, and its prevalence continues to rise. In some cases, hepatocellular carcinoma (HCC) may develop. The develop;ment of non-invasive diagnostic and screening tools is needed, in order to reduce the frequency of liver biopsies. The most promising methods are those able to exclude advanced fibrosis and quantify steatosis. In this study, new perspective markers for inflammation, oxidative stress, apoptosis, and fibrogenesis; emerging scoring models for detecting hepatic steatosis and fibrosis; and new genetic, epigenetic, and multiomic studies are discussed. As isolated biochemical parameters are not specific or sensitive enough to predict the presence of NASH and fibrosis, there is a tendency to use various markers and combine them into mathematical algorithms. Several predictive models and scoring systems have been developed. Current data suggests that panels of markers (NAFLD fibrosis score, Fib-4 score, BARD score, and others) are useful diagnostic modalities to minimize the number of liver biopsies. The review unveils pathophysiological aspects related to new trends in current non-invasive biochemical, genetic, and scoring methods, and provides insight into their diagnostic accuracies and suitability in clinical practice.
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Affiliation(s)
- Somaya Albhaisi
- The Division of Internal Medicine, Hepatology and Nutrition, Virginia Commonwealth University, Richmond, VA, USA
| | - Danny Issa
- The Division of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University, Richmond, VA, USA
| | - Naim Alkhouri
- The Texas Liver Institute, University of Texas (UT) Health San Antonio, San Antonio, TX, USA
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Sayari S, Neishaboori H, Jameshorani M. Combined effects of synbiotic and sitagliptin versus sitagliptin alone in patients with nonalcoholic fatty liver disease. Clin Mol Hepatol 2018; 24:331-338. [PMID: 29890569 PMCID: PMC6166102 DOI: 10.3350/cmh.2018.0006] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Accepted: 02/20/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND/AIMS Non-alcoholic fatty liver disease (NAFLD) is one of the most prevalent chronic liver diseases in recent years. The aim of this study was to evaluate the effects of sitagliptin with and without a synbiotic supplement in the treatment of patients with NAFLD. METHODS In total, 138 NAFLD patients aged 18-60 years were enrolled in the study. Patients were randomized to one of the following treatments for 16 weeks: Group I (n=68), sitagliptin 50 mg daily plus placebo (one capsule per day) or group II (n=70) sitagliptin 50 mg daily plus synbiotic (one capsule per day). Changes in fasting blood glucose (FBS), liver enzymes, lipid profile, and body mass index were compared between the groups. RESULTS The mean change in FBS with sitagliptin-placebo from baseline was -10.47±5.77 mg/dL, and that with sitagliptin-synbiotic was -13.52±4.16 mg/dL. There was a significant difference between the groups (P<0.001). The mean change in cholesterol (Chol) was -8.34±28.83 mg/dL with sitagliptin-placebo and -21.25±15.50 mg/dL with sitagliptinsynbiotic. There was a significant difference between the two groups (P=0.029). The administration of sitagliptin-placebo induced an increase of 6.13±27.04 mg/dL in low density lipoprotein (LDL), whereas sitagliptin-synbiotic induced a decrease of 14.92±15.85 mg/dL in LDL. A significant difference was observed between the two groups (P<0.001). On the other hand, in the sitagliptin-synbiotic group, there was significant improvement in aspartate aminotransferase (AST) level compared to the sitagliptin-placebo group (P=0.018). CONCLUSION Sitagliptin-synbiotic produced greater improvement in FBS, AST, Chol, and LDL compared to sitagliptin alone in patients with NAFLD.
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Affiliation(s)
- Saba Sayari
- Zanjan Metabolic Disease Research Center, Vali-e-Asr Hospital, Zanjan University of Medical Science, Zanjan, Iran
| | - Hassan Neishaboori
- Zanjan Metabolic Disease Research Center, Vali-e-Asr Hospital, Zanjan University of Medical Science, Zanjan, Iran
| | - Maryam Jameshorani
- Zanjan Metabolic Disease Research Center, Vali-e-Asr Hospital, Zanjan University of Medical Science, Zanjan, Iran
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