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Funada K, Kusano Y, Gyotoku Y, Shirahashi R, Suda T, Tamano M. Novel multi-parametric diagnosis of non-alcoholic fatty liver disease using ultrasonography, body mass index, and Fib-4 index. World J Gastroenterol 2023; 29:3703-3714. [PMID: 37398885 PMCID: PMC10311609 DOI: 10.3748/wjg.v29.i23.3703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/14/2023] [Accepted: 05/22/2023] [Indexed: 06/16/2023] Open
Abstract
BACKGROUND Shear wave speed (SWS), shear wave dispersion (SWD), and attenuation imaging (ATI) are new diagnostic parameters for non-alcoholic fatty liver disease. To differentiate between non-alcoholic steatohepatitis (NASH) and non-alcoholic fatty liver (NAFL), we developed a clinical index we refer to as the “NASH pentagon” consisting of the 3 abovementioned parameters, body mass index (BMI), and Fib-4 index.
AIM To investigate whether the area of the NASH pentagon we propose is useful in discriminating between NASH and NAFL.
METHODS This non-invasive, prospective, observational study included patients diagnosed with fatty liver by abdominal ultrasound between September 2021 and August 2022 in whom shear wave elastography, SWD, and ATI were measured. Histological diagnosis based on liver biopsy was performed in 31 patients. The large pentagon group (LP group) and the small pentagon group (SP group), using an area of 100 as the cutoff, were compared; the NASH diagnosis rate was also investigated. In patients with a histologically confirmed diagnosis, receiver-operating characteristic (ROC) curve analyses were performed.
RESULTS One hundred-seven patients (61 men, 46 women; mean age 55.1 years; mean BMI 26.8 kg/m2) were assessed. The LP group was significantly older (mean age: 60.8 ± 15.2 years vs 46.4 ± 13.2 years; P < 0.0001). Twenty-five patients who underwent liver biopsies were diagnosed with NASH, and 6 were diagnosed with NAFL. On ROC curve analyses, the areas under the ROC curves for SWS, dispersion slope, ATI value, BMI, Fib-4 index, and the area of the NASH pentagon were 0.88000, 0.82000, 0.58730, 0.63000, 0.59333, and 0.93651, respectively; the largest was that for the area of the NASH pentagon.
CONCLUSION The NASH pentagon area appears useful for discriminating between patients with NASH and those with NAFL.
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Affiliation(s)
- Kei Funada
- Department of Gastroenterology, Dokkyo Medical University Saitama Medical Center, Koshigaya-shi 343-8555, Saitama, Japan
| | - Yumi Kusano
- Department of Gastroenterology, Dokkyo Medical University Saitama Medical Center, Koshigaya-shi 343-8555, Saitama, Japan
| | - Yoshinori Gyotoku
- Department of Gastroenterology, Dokkyo Medical University Saitama Medical Center, Koshigaya-shi 343-8555, Saitama, Japan
| | - Ryosaku Shirahashi
- Department of Gastroenterology, Dokkyo Medical University Saitama Medical Center, Koshigaya-shi 343-8555, Saitama, Japan
| | - Toshikuni Suda
- Department of Gastroenterology, Dokkyo Medical University Saitama Medical Center, Koshigaya-shi 343-8555, Saitama, Japan
| | - Masaya Tamano
- Department of Gastroenterology, Dokkyo Medical University Saitama Medical Center, Koshigaya-shi 343-8555, Saitama, Japan
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Brinker EJ, Towns TJ, Watanabe R, Ma X, Bashir A, Cole RC, Wang X, Graff EC. Direct activation of the fibroblast growth factor-21 pathway in overweight and obese cats. Front Vet Sci 2023; 10:1072680. [PMID: 36756310 PMCID: PMC9900002 DOI: 10.3389/fvets.2023.1072680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 01/03/2023] [Indexed: 01/24/2023] Open
Abstract
Introduction Feline obesity is common, afflicting ~25-40% of domestic cats. Obese cats are predisposed to many metabolic dyscrasias, such as insulin resistance, altered blood lipids, and feline hepatic lipidosis. Fibroblast Growth Factor-21 (FGF21) is an endocrine hormone that mediates the fat-liver axis, and in humans and animals, FGF21 can ameliorate insulin resistance, non-alcoholic fatty liver disease, and obesity. Activation of the FGF21 pathway may have therapeutic benefits for obese cats. Methods In this preliminary cross-sectional study, ad libitum fed, purpose-bred, male-neutered, 6-year-old, obese and overweight cats were administered either 10 mg/kg/day of an FGF21 mimetic (FGF21; n = 4) or saline (control; n = 3) for 14 days. Body weight, food, and water intake were quantified daily during and 2 weeks following treatment. Changes in metabolic and liver parameters, intrahepatic triglyceride content, liver elasticity, and gut microbiota were evaluated. Results Treatment with FGF21 resulted in significant weight loss (~5.93%) compared to control and a trend toward decreased intrahepatic triglyceride content. Cats treated with FGF21 had decreased serum alkaline phosphatase. No significant changes were noted in liver elasticity, serum, liver, or metabolic parameters, or gut microbiome composition. Discussion In obese and overweight cats, activation of the FGF21 pathway can safely induce weight loss with trends to improve liver lipid content. This exploratory study is the first to evaluate the FGF21 pathway in cats. Manipulation of the FGF21 pathway has promising potential as a therapeutic for feline obesity. Further studies are needed to see if FGF21-pathway manipulation can be therapeutic for feline hepatic lipidosis.
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Affiliation(s)
- Emily J. Brinker
- Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL, United States,Scott Ritchey Research Center, College of Veterinary Medicine, Auburn University, Auburn, AL, United States
| | - T. Jordan Towns
- Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL, United States,Scott Ritchey Research Center, College of Veterinary Medicine, Auburn University, Auburn, AL, United States
| | - Rie Watanabe
- Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL, United States
| | - Xiaolei Ma
- Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL, United States,School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Adil Bashir
- Department of Electrical and Computer Engineering, Samuel Ginn College of Engineering, Auburn University, Auburn, AL, United States
| | - Robert C. Cole
- Department of Clinical Sciences, College of Veterinary Medicine, Auburn University, Auburn, AL, United States
| | - Xu Wang
- Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL, United States,Scott Ritchey Research Center, College of Veterinary Medicine, Auburn University, Auburn, AL, United States,Center for Advanced Science, Innovation and Commerce, Alabama Agricultural Experiment Station, Auburn, AL, United States,HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
| | - Emily C. Graff
- Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL, United States,Scott Ritchey Research Center, College of Veterinary Medicine, Auburn University, Auburn, AL, United States,*Correspondence: Emily C. Graff ✉
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