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Eslami Z, Joshaghani H, Eghbal Moghanlou A, Norouzi A, Mirghani SJ. Atorvastatin and flaxseed dietary treatments improve dyslipidemia and liver injuries in a diet-induced rat model of non-alcoholic fatty liver disease. AVICENNA JOURNAL OF PHYTOMEDICINE 2025; 15:1102-1112. [PMID: 40365191 PMCID: PMC12068500 DOI: 10.22038/ajp.2024.25220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 09/17/2024] [Indexed: 05/15/2025]
Abstract
Objective Non-alcoholic fatty liver disease (NAFLD) as the most common chronic liver disease is associated with metabolic disorders including dysregulated lipid and glucose metabolism. There is no approved drug treatment for NAFLD; thus, new therapies are needed. We studied the antidyslipidemic effects of atorvastatin and/or possibly hepatoprotective effects of flaxseed/ flaxseed oil in a rat model of NAFLD. Materials and Methods Fifty-six male Wistar rats were divided randomly into seven groups: 1) control, 2) high-fructose diet (HFD), 3) HFD +atorvastatin (20 mg/kg), 4) HFD+ flaxseed (40 g/kg), 5) HFD+ flaxseed oil (40 mg/kg), 6) HFD+flaxseed (40 g/kg) + atorvastatin (20 mg/kg) and 7) HFD+flaxseed oil (40 g/kg) +atorvastatin (20 mg/kg). The interventions were done for 23 weeks, after which anthropometric indices, lipid profile, liver enzymes, fasting blood glucose, and kidney indices were analyzed. Scoring of hematoxylin-eosin-stained liver sections was used to assess the severity of NAFLD. Results All the treatments reduced mesenteric fat mass, and the amount of fat around the liver, except in HFD+ flaxseed +atorvastatin group. The interventions improved NAFLD activity score, which considers steatosis, lobular inflammation, and hepatocyte ballooning. However, atorvastatin was most efficient in reducing inflammation and hepatocyte ballooning. While atorvastatin reduced only Gamma-glutamyltransferase (GGT) levels, flaxseed or flaxseed oil mono- and combination therapies reduced serum levels of all liver enzymes. The interventions improved the serum lipid profile and all, except atorvastatin decreased fasting blood glucose. Conclusion Flaxseed therapies improved NAFLD-associated liver injuries and dyslipidemia, while atorvastatin mostly reduced hepatocyte ballooning and lobular inflammation.
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Affiliation(s)
- Zahra Eslami
- Department of Clinical Biochemistry, Hamadan University of medical science, Hamadan, Iran
| | - Hamidreza Joshaghani
- Laboratory sciences research center, Golestan University of Medical Sciences, Gorgan, Iran
| | - Abdorreza Eghbal Moghanlou
- Istanbul esenyurt University, Physical Education and Sports High School, Coaching Education Department, Istanbul, Turkey
| | - Alireza Norouzi
- Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran
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De Francesco F, Sbarbati A, Sierra LAQ, Zingaretti N, Sarmadian Z, Parodi PC, Ricci G, Riccio M, Mobasheri A. Anatomy, Histology, and Embryonic Origin of Adipose Tissue: Insights to Understand Adipose Tissue Homofunctionality in Regeneration and Therapies. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2025; 1474:53-78. [PMID: 39107527 DOI: 10.1007/5584_2024_801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2025]
Abstract
Preadipocytes are formed during the 14th and 16th weeks of gestation. White adipose tissue, in particular, is generated in specific areas and thereby assembles after birth, rapidly increasing following the propagation of adipoblasts, which are considered the preadipocyte cell precursors. The second trimester of gestation is a fundamental phase of adipogenesis, and in the third trimester, adipocytes, albeit small may be present within the main deposition areas. In the course of late gestation, adipose tissue develops in the foetus and promotes the synthesis of large amounts of uncoupling protein 1, in similar quantities relative to differentiated brown adipose tissue. In mammals, differentiation occurs in two functionally different types of adipose cells: white adipose cells resulting from lipid storage and brown adipose cells from increased metabolic energy consumption. During skeletogenesis, synovial joints develop through the condensation of mesenchymal cells, which forms an insertional layer of flattened cells that umlaut skeletal elements, by sharing the same origin in the development of synovium. Peri-articular fat pads possess structural similarity with body subcutaneous white adipose tissue; however, they exhibit a distinct metabolic function due to the micro-environmental cues in which they are embedded. Fat pads are an important component of the synovial joint and play a key role in the maintenance of joint homeostasis. They are also implicated in pathological states such as osteoarthritis.In this paper we explore the therapeutic potential of adipocyte tissue mesenchymal precursor-based stem cell therapy linking it back to the anatomic origin of adipose tissue.
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Affiliation(s)
- Francesco De Francesco
- Department of Reconstructive Surgery and Hand Surgery, AOU Ospedali Riuniti delle Marche, Ancona, Italy
| | - Andrea Sbarbati
- Department of Neuroscience, Biomedicine and Movement, Human Anatomy and Histology Section, University of Verona, Verona, Italy
| | | | - Nicola Zingaretti
- Department of Medical Area (DAME), Clinic of Plastic and Reconstructive Surgery, Academic Hospital of Udine, University of Udine, Udine, Italy
| | - Zahra Sarmadian
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Pier Camillo Parodi
- Department of Medical Area (DAME), Clinic of Plastic and Reconstructive Surgery, Academic Hospital of Udine, University of Udine, Udine, Italy
| | - Giulia Ricci
- Department of Experimental Medicine, Università Degli Studi Della Campania "Luigi Vanvitelli", Naples, Italy
| | - Michele Riccio
- Department of Reconstructive Surgery and Hand Surgery, AOU Ospedali Riuniti delle Marche, Ancona, Italy
| | - Ali Mobasheri
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania.
- Department of Joint Surgery, Sun Yat-sen University, Guangzhou, People's Republic of China.
- World Health Organization Collaborating Center for Public Health Aspects of Musculoskeletal Health and Aging, Université de Liège, Liège, Belgium.
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Ahmed M. A clinician's perspective on the new organ mesentery and non-vascular mesenteropathies. Front Physiol 2024; 15:1336908. [PMID: 39296517 PMCID: PMC11408482 DOI: 10.3389/fphys.2024.1336908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 07/17/2024] [Indexed: 09/21/2024] Open
Abstract
Mesentery was discovered as a new organ in 2017. It is a continuous membranous tissue from the duodenojejunal flexure to the anorectal junction. It has distinct anatomy, physiology, and disease states. Primary mesenteropathies include vascular and non-vascular diseases. Some of them are common, and some of them are rarely seen in clinical practice. Secondary mesenteropathies occur when infection or malignancy in another organ spreads to the mesentery. Each entity has specific diagnostic and treatment protocols. Increased awareness of different mesenteropathies and an understanding of their various presentations at different stages of life can help in early diagnosis and improved clinical outcomes.
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Habib S. Metabolic dysfunction-associated steatotic liver disease heterogeneity: Need of subtyping. World J Gastrointest Pathophysiol 2024; 15:92791. [PMID: 38845820 PMCID: PMC11151879 DOI: 10.4291/wjgp.v15.i2.92791] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 04/04/2024] [Accepted: 04/24/2024] [Indexed: 05/23/2024] Open
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a widespread global disease with significant health burden. Unhealthy lifestyle, obesity, diabetes mellitus (DM), insulin resistance, and genetics have been implicated in the pathogenesis of MASLD. A significant degree of heterogeneity exists among each of above-mentioned risk factors. Heterogeneity of these risk factors translates into the heterogeneity of MASLD. On the other hand, MASLD can itself lead to insulin resistance and DM. Such heterogeneity makes it difficult to assess the natural course of an individual with MASLD in clinical practice. At present MASLD is considered as one disease despite the variability of etiopathogenic processes, and we lack the consensus definitions of unique subtypes of MASLD. In this review, pathogenic processes of MASLD are discussed and a need of subtyping is recommended.
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Affiliation(s)
- Shahid Habib
- Department of Hepatology, Liver Institute PLLC, Tucson, AZ 85716, United States
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Chiyanika C, Cheung LTF, Liu KH, Kong APS, Wong SKH, Ng EKW, Chu WCW. Changes in mesenteric fat thickness and its clinical impact in bariatric surgery. Clin Obes 2024; 14:e12627. [PMID: 37944915 DOI: 10.1111/cob.12627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 09/24/2023] [Accepted: 10/23/2023] [Indexed: 11/12/2023]
Abstract
Obesity, especially central obesity is associated with increased risk of metabolic syndrome, non-alcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus. The study aimed to investigate the associations of the changes of abdominal fat thicknesses with changes of anthropometric indexes and improvements of metabolic phenotypes in patients with obesity and T2DM before and after bariatric surgery. Between April 2016 and January 2017, 34 adult patients with concurrent obesity and T2DM scheduled for different bariatric surgeries were prospectively evaluated by ultrasound before and 1-year after bariatric surgery to determine abdominal fat thicknesses (mesenteric fat, preperitoneal fat and subcutaneous fat) and NAFLD. At 1 year, of the 25 patients that finished the study, significant decrease in mesenteric-fat-thickness was associated with significant reduction of obesity, that is, BMI (-24%, p < .001), remission of metabolic syndrome (32%, p = .008), NAFLD (60%, p < .001) and T2DM (44%, p < .001). Lower baseline mesenteric fat thickness was associated with remission of metabolic syndrome. Lower baseline mesenteric-fat-thickness may have the potential to predict metabolic syndrome remission after bariatric surgery.
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Affiliation(s)
- Chileka Chiyanika
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China
| | - Lorena Tsui Fun Cheung
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Kin Hung Liu
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Alice Pik Shan Kong
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Simon Kin Hung Wong
- Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Enders Kwok Wai Ng
- Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Winnie Chiu Wing Chu
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
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Vianna P, Calce SI, Boustros P, Larocque-Rigney C, Patry-Beaudoin L, Luo YH, Aslan E, Marinos J, Alamri TM, Vu KN, Murphy-Lavallée J, Billiard JS, Montagnon E, Li H, Kadoury S, Nguyen BN, Gauthier S, Therien B, Rish I, Belilovsky E, Wolf G, Chassé M, Cloutier G, Tang A. Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis. Radiology 2023; 309:e230659. [PMID: 37787678 DOI: 10.1148/radiol.230659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
Background Screening for nonalcoholic fatty liver disease (NAFLD) is suboptimal due to the subjective interpretation of US images. Purpose To evaluate the agreement and diagnostic performance of radiologists and a deep learning model in grading hepatic steatosis in NAFLD at US, with biopsy as the reference standard. Materials and Methods This retrospective study included patients with NAFLD and control patients without hepatic steatosis who underwent abdominal US and contemporaneous liver biopsy from September 2010 to October 2019. Six readers visually graded steatosis on US images twice, 2 weeks apart. Reader agreement was assessed with use of κ statistics. Three deep learning techniques applied to B-mode US images were used to classify dichotomized steatosis grades. Classification performance of human radiologists and the deep learning model for dichotomized steatosis grades (S0, S1, S2, and S3) was assessed with area under the receiver operating characteristic curve (AUC) on a separate test set. Results The study included 199 patients (mean age, 53 years ± 13 [SD]; 101 men). On the test set (n = 52), radiologists had fair interreader agreement (0.34 [95% CI: 0.31, 0.37]) for classifying steatosis grades S0 versus S1 or higher, while AUCs were between 0.49 and 0.84 for radiologists and 0.85 (95% CI: 0.83, 0.87) for the deep learning model. For S0 or S1 versus S2 or S3, radiologists had fair interreader agreement (0.30 [95% CI: 0.27, 0.33]), while AUCs were between 0.57 and 0.76 for radiologists and 0.73 (95% CI: 0.71, 0.75) for the deep learning model. For S2 or lower versus S3, radiologists had fair interreader agreement (0.37 [95% CI: 0.33, 0.40]), while AUCs were between 0.52 and 0.81 for radiologists and 0.67 (95% CI: 0.64, 0.69) for the deep learning model. Conclusion Deep learning approaches applied to B-mode US images provided comparable performance with human readers for detection and grading of hepatic steatosis. Published under a CC BY 4.0 license. Supplemental material is available for this article. See also the editorial by Tuthill in this issue.
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Affiliation(s)
- Pedro Vianna
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Sara-Ivana Calce
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Pamela Boustros
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Cassandra Larocque-Rigney
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Laurent Patry-Beaudoin
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Yi Hui Luo
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Emre Aslan
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - John Marinos
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Talal M Alamri
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Kim-Nhien Vu
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Jessica Murphy-Lavallée
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Jean-Sébastien Billiard
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Emmanuel Montagnon
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Hongliang Li
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Samuel Kadoury
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Bich N Nguyen
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Shanel Gauthier
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Benjamin Therien
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Irina Rish
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Eugene Belilovsky
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Guy Wolf
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Michaël Chassé
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Guy Cloutier
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - An Tang
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
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Del Chicca F, Richter H, Müller HP, Kassubek J. MRI-based quantification of adipose tissue distribution in healthy adult cats during body weight gain. Front Vet Sci 2023; 10:1150085. [PMID: 37215477 PMCID: PMC10196178 DOI: 10.3389/fvets.2023.1150085] [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: 01/23/2023] [Accepted: 04/14/2023] [Indexed: 05/24/2023] Open
Abstract
The incidence of obesity in pet population increased over the last decades. Cats have been suggested as model for human obesity because of similar co-morbidities as diabetes and dyslipidaemia. Aim of this study were to quantify the distribution of visceral and subcutaneous adipose tissue (VAT, SAT respectively) in healthy adult cats during feeding-induced body weight (BW) gain by MRI, and to correlate it to the increased hepatic fat fraction (HFF). Cats received a commercial dry food ad libitum for 40 weeks and were longitudinally scanned three times. VAT and SAT were determined from Dixon MRI data by a dedicated software solution (ATLAS, established in human and rodents). HFF was quantified from a commercially available sequence. At both individual and group level, normalized adipose tissue volumes significantly increased longitudinally, with median VAT/SAT ratio always < 1. With increased BW, more than proportional increased total adipose tissue was observed together with more than proportional increased HFF. HFF is disproportionately high in overweight cats compared to SAT and VAT accumulation in the 40 weeks observation period. Quantitative unbiased MRI examination of different body fat components is useful in longitudinal monitoring of obesity in cats.
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Affiliation(s)
- Francesca Del Chicca
- Clinic for Diagnostic Imaging, Department of Diagnostics and Clinical Services, Vetsuisse Faculty Zurich, Zurich, Switzerland
| | - Henning Richter
- Clinic for Diagnostic Imaging, Department of Diagnostics and Clinical Services, Vetsuisse Faculty Zurich, Zurich, Switzerland
| | | | - Jan Kassubek
- Department of Neurology, University of Ulm, Ulm, Germany
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Xia Q, Li M, Xu M, Chen S, Xie X, Chen Y. Measurement of the stiffness of the normal terminal ileum mesentery using shear-wave elastography. Eur J Radiol 2023; 163:110807. [PMID: 37030100 DOI: 10.1016/j.ejrad.2023.110807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 03/23/2023] [Accepted: 03/27/2023] [Indexed: 03/31/2023]
Abstract
OBJECTIVE To investigate the feasibility of using shear-wave elastography (SWE) to measure the stiffness of the normal terminal ileum mesentery, and to establish its normal reference range. METHODS Ninety-five normal subjects and 22 patients with mesentery-related disease were included. The average Young's modulus of the normal terminal ileal mesentery was measured by SWE ultrasound. The thickness and the extent to which mesenteric fat extended around the intestinal circumference of the normal terminal ileum were also recorded. The normal reference range was established and the SWE values of normal and diseased subjects were compared. RESULTS Transabdominal SWE examination of the terminal ileum mesentery was successfully performed on 91 subjects (95.8 %). The mean extent range, thickness, and SWE value of the normal terminal ileum mesentery were 1/4 (1/5-1/3), 6.8 ± 2.4 mm, and 4.3 ± 2.1 kPa, respectively. These parameters did not differ significantly between genders, and across age and body mass index groups (all P > 0.05). The intra- and inter-operator consistencies were excellent for the replicated SWE measurements (0.801 [95 % confidence interval: 0.560-0.916] and 0.751 (95 % confidence interval: 0.388-0.900], respectively). The mean mesenteric elasticity in diseased subjects was 21.9 ± 10.7 kPa, which was significantly higher than that in normal subjects (P < 0.001). The cut-off value for mesenteric elasticity was 9.3 kPa, with a sensitivity of 90 % and a specificity of 100 % (P < 0.001). CONCLUSION SWE can be used to reliably evaluate the stiffness of the terminal ileum mesentery in normal subjects.
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Affiliation(s)
- Qingqing Xia
- Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Manying Li
- Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ming Xu
- Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Shuling Chen
- Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiaoyan Xie
- Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yujun Chen
- Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
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Liu KH, Kong APS, Chan JCN, Wing WC. Sonographic Measurement of Mesenteric Fat Thickness Is a Better Predictor of Aortic Stiffness Compared With Conventional Obesity Indexes. ULTRASOUND IN MEDICINE & BIOLOGY 2023; 49:599-606. [PMID: 36424308 DOI: 10.1016/j.ultrasmedbio.2022.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 09/13/2022] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
Increased aortic stiffness is closely associated with central obesity whereas mesenteric fat is the key adipose tissue in central obesity. We investigated the associations of mesenteric fat thickness with aortic stiffness, with comparison to conventional obesity measures. We used ultrasound to measure mesenteric, pre-peritoneal and subcutaneous fat thickness, carotid intima-media thickness (CIMT) and carotid-femoral pulse wave velocity (c-f PWV), an index of central aortic stiffness. Anthropometric indexes, blood pressure, fasting plasma glucose and lipid profile were measured. One hundred forty-seven healthy volunteers (age [mean ± standard deviation]: 43.2 ± 13.3 y; 41.5% men) were assessed. On univariate analysis, mesenteric, preperitoneal and subcutaneous fat thickness, body mass index (BMI), waist circumference (WC), waist/hip ratio (WHR) and waist/height ratio (WHtR) were associated with c-f PWV with or without adjustment for age. The mesenteric fat thickness had the highest correlation coefficient (r = 0.48, p < 0.001) with c-f PWV among all the investigated obesity indexes. Using multiple linear regression analysis, only mesenteric fat thickness remained to be an independent determinant of c-f PWV after adjustments for other abdominal fat thickness, anthropometric and metabolic indexes and CIMT. In conclusion, mesenteric fat thickness is an independent risk factor for aortic stiffness and has a stronger association with aortic stiffness compared with conventional obesity indexes.
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Affiliation(s)
- Kin Hung Liu
- Department of Imaging and Interventional Radiology, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - Alice Pik Shan Kong
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - Juliana Chung Ngor Chan
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - Winnie Chiu Wing
- Department of Imaging and Interventional Radiology, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong.
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Regulatory mechanisms of the early phase of white adipocyte differentiation: an overview. Cell Mol Life Sci 2022; 79:139. [PMID: 35184223 PMCID: PMC8858922 DOI: 10.1007/s00018-022-04169-6] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 01/10/2022] [Accepted: 01/24/2022] [Indexed: 12/16/2022]
Abstract
The adipose
organ comprises two main fat depots termed white and brown adipose tissues. Adipogenesis is a process leading to newly differentiated adipocytes starting from precursor cells, which requires the contribution of many cellular activities at the genome, transcriptome, proteome, and metabolome levels. The adipogenic program is accomplished through two sequential phases; the first includes events favoring the commitment of adipose tissue stem cells/precursors to preadipocytes, while the second involves mechanisms that allow the achievement of full adipocyte differentiation. While there is a very large literature about the mechanisms involved in terminal adipogenesis, little is known about the first stage of this process. Growing interest in this field is due to the recent identification of adipose tissue precursors, which include a heterogenous cell population within different types of adipose tissue as well as within the same fat depot. In addition, the alteration of the heterogeneity of adipose tissue stem cells and of the mechanisms involved in their commitment have been linked to adipose tissue development defects and hence to the onset/progression of metabolic diseases, such as obesity. For this reason, the characterization of early adipogenic events is crucial to understand the etiology and the evolution of adipogenesis-related pathologies, and to explore the adipose tissue precursors’ potential as future tools for precision medicine.
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11
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He Q, Zhang Y, Ma D, Zhang W, Zhang H. Lactobacillus casei Zhang exerts anti-obesity effect to obese glut1 and gut-specific-glut1 knockout mice via gut microbiota modulation mediated different metagenomic pathways. Eur J Nutr 2022; 61:2003-2014. [PMID: 34984487 DOI: 10.1007/s00394-021-02764-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 11/30/2021] [Indexed: 12/13/2022]
Abstract
PURPOSE Obesity is a major risk factor for various metabolic diseases, including metabolic syndrome and type-2 diabetes. Glucose transporter 1 (GLUT1) impairment has been proposed as a mechanism of fat accumulation and glucose tolerance. Our aims were to determine the role of intestinal epithelial glut1 activity in obesity and the mechanism of anti-obesity effect of Lactobacillus casei Zhang (LCZ) intervention in the absence of gut villi-specific glut1 expression. METHODS This study compared the body weight, intestinal microbiota perturbations, fat mass accumulation, and glucose tolerance (by oral glucose tolerance test) between high-fat diet fed villi-specific glut1 knockout (KO) mice and control mice (glut1 flox/flox) with/without LCZ intervention. The intestinal microbiota was evaluated by metagenomic sequencing. RESULTS Our results showed that villi-specific glut1 KO mice had more fat deposition at the premetaphase stage, impaired glucose tolerance, and obvious alterations in gut microbiota compared to control mice. Probiotic administration significantly lowered the body weight, the weights of mesenteric and perirenal white adipose tissues (WAT), and mediated gut microbiota modulation in both types of KO and control mice. The species Barnesiella intestinihominis and Faecalibaculum rodentium might contribute to fasting fat mass accumulation associated with gut-specific glut1 inactivation, while the probiotic-mediated anti-obesity effect was linked to members of the Bacteroides genera, Odoribacter genera and Alistipes finegoldii. CONCLUSION Our study demonstrated that abrogating gut epithelial GLUT1 activity affected the gut microbiota, fat mass accumulation, and glucose tolerance; and LCZ administration reduced fat mass accumulation and central obesity.
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Affiliation(s)
- Qiuwen He
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, China.,Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Agricultural University, Hohhot, China
| | - Yong Zhang
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing (USTB), Beijing, China
| | - Da Ma
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, China.,Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Agricultural University, Hohhot, China
| | - Weiqin Zhang
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, China.,Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Agricultural University, Hohhot, China
| | - Heping Zhang
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, China. .,Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Agricultural University, Hohhot, China.
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12
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The relationship between visceral adiposity and cardiometabolic risk in Chinese women with polycystic ovary syndrome. Obes Res Clin Pract 2021; 15:593-599. [PMID: 34561173 DOI: 10.1016/j.orcp.2021.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 08/31/2021] [Accepted: 09/08/2021] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To compare the extent to which visceral adiposity, as measured by mesenteric fat thickness, contribute to cardiometabolic risk, especially insulin resistance, in women with PCOS and healthy control. METHODS This is a cross-sectional study with a total of 190 women with PCOS fulfilling the Rotterdam diagnostic criteria. Women without PCOS were recruited from a previous study, which comprised 416 healthy women controls with normal glucose tolerance. All subjects underwent OGTT, biochemical assessment, and sonographic assessment with measurements of mesenteric, preperitoneal and subcutaneous fat thickness. RESULTS Mesenteric fat thickness was strongly correlated to cardiometabolic traits including blood pressure, fasting and 2-h glucose, triglycerides, HOMA-IR; and was negatively correlated to HDL-C in both cohorts (all p < 0.01). In PCOS, positive correlation was observed between mesenteric fat thickness and free androgen index (p < 0.01). Compared with controls, the regression line between mesenteric fat and HOMA-IR is much steeper in PCOS (p < 0.01). CONCLUSION Women with PCOS remain more insulin resistant compared to controls at any given degree of visceral adiposity.
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13
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Li M, Shi J, Yiu CCY, Li C, Wong KKY, Wang L. Near-infrared double-illumination optical-resolution photoacoustic microscopy. JOURNAL OF BIOPHOTONICS 2021; 14:e202000392. [PMID: 33205905 DOI: 10.1002/jbio.202000392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 10/28/2020] [Accepted: 11/16/2020] [Indexed: 06/11/2023]
Abstract
Label-free chemical bond imaging is of great importance in biology and medicine. Photoacoustic imaging at the third near-infrared windows (1600-1870 nm, near-infrared-III) provides a stable molecular vibrational imaging tool for lipid-rich tissue owing to the first overtone transition of the CH bond at 1.7 μm. However, lacking high-energy pulsed laser sources at 1.7 μm and the strong water absorption significantly limit the signal-to-noise ratio of the lipid imaging, especially for thin lipid tissues. To circumvent this barrier, we develop near-infrared-III double-illumination optical-resolution photoacoustic microscopy (DIOR-PAM) for improving the sensitivity of label-free lipid imaging. Using the same laser, DIOR-PAM can enhance the sensitivity by nearly 100%, which we prove in the Monte Carlo simulation. We experimentally demonstrated 50% ~ 100% sensitivity enhancements on nonbiological and biological lipid-rich samples.
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Affiliation(s)
- Mingsheng Li
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
| | - Jiawei Shi
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China
| | - Canice Chun-Yin Yiu
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China
| | - Can Li
- College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China
| | - Kenneth Kin-Yip Wong
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China
| | - Lidai Wang
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, City University of Hong Kong, Shenzhen, China
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Anti-Obesity Effects of a Prunus persica and Nelumbo nucifera Mixture in Mice Fed a High-Fat Diet. Nutrients 2020; 12:nu12113392. [PMID: 33158191 PMCID: PMC7694277 DOI: 10.3390/nu12113392] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 11/02/2020] [Accepted: 11/02/2020] [Indexed: 12/13/2022] Open
Abstract
Prunus persica and Nelumbo nucifera are major crops cultivated worldwide. In East Asia, both P. persica flowers and N. nucifera leaves are traditionally used for therapeutic purposes and consumed as teas for weight loss. Herein, we investigated the anti-obesity effects of an herbal extract mixture of P. persica and N. nucifera (HT077) and the underlying mechanism using a high-fat diet (HFD)-induced obesity model. Male C57BL/6 mice were fed a normal diet, HFD, HFD containing 0.02% orlistat (positive control), or HFD containing 0.1, 0.2, or 0.4% HT077 for 12 weeks. HT077 significantly reduced final body weights, weight gain, abdominal fat weights, liver weights, and hepatic levels of triglycerides and total cholesterol. HT077 also lowered glucose, cholesterol, alanine aminotransferase (ALT), aspartate aminotransferase (AST), and leptin levels and increased AST/ALT and adiponectin/leptin ratios and adiponectin levels. Real-time polymerase chain reaction analysis showed that HT077 decreased the expression of lipogenic genes and increased the expression of fatty acid oxidation-related genes in adipose tissue. Our results indicate that HT077 exerts anti-obesity effects and prevents the development of obesity-related metabolic disorders. These beneficial effects might be partially attributed to ameliorating adipokine imbalances and regulating lipid synthesis and fatty acid oxidation in adipose tissue.
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15
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Milovanovic T, Dragasevic S, Stojkovic Lalosevic M, Zgradic S, Milicic B, Dumic I, Kmezic S, Saponjski D, Antic A, Markovic V, Popovic D. Ultrasonographic Evaluation of Fatty Pancreas in Serbian Patients with Non Alcoholic Fatty Liver Disease-A Cross Sectional Study. MEDICINA (KAUNAS, LITHUANIA) 2019; 55:697. [PMID: 31627351 PMCID: PMC6843527 DOI: 10.3390/medicina55100697] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 10/08/2019] [Accepted: 10/09/2019] [Indexed: 12/13/2022]
Abstract
Background and Objectives: The aim of the study was to determine the association between presences of fatty pancreas (FP) with the features of metabolic syndrome (MeS) in patients with non-alcoholic fatty liver disease (NAFLD) and to establish a new noninvasive scoring system for the prediction of FP in patients with NAFLD. Material and Methods: 143 patients with NAFLD were classified according to FP severity grade into the two groups and evaluated for diagnostic criteria of MeS. All patients underwent sonographic examination with adiposity measurements and the liver biopsy. Liver fibrosis was evaluated semi-quantitatively according to the METAVIR scoring system and using non-invasive markers of hepatic fibrosis. Results: Waist circumference (WC) was predictive for increased risk of FP in NAFLD patients. Elevated fasting plasma glucose, total cholesterol, serum amylase and lipase levels were associated with presence of severe FP (p value = 0.052, p value = 0.007, p value = 0.014; p value = 0.024, respectively). Presence of increased amounts of mesenteric fat was associated with severe FP (p value = 0.013). The results of this study demonstrated highly significant association between NAFLD and presence of FP. The model for predicting the presence of FP was designed with probability value above 6.5. Conclusion: Pancreatic fat accumulation leads to worsening of pancreatic function which in turns exacerbates severity of metabolic syndrome associated with both, NAFLD and NAFPD.
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Affiliation(s)
- Tamara Milovanovic
- School of Medicine, University of Belgrade, 11 000 Belgrade, Serbia.
- Clinic for Gastroenterology and Hepatology, Clinical Center of Serbia, 11 000 Belgrade, Serbia.
| | - Sanja Dragasevic
- Clinic for Gastroenterology and Hepatology, Clinical Center of Serbia, 11 000 Belgrade, Serbia.
| | - Milica Stojkovic Lalosevic
- School of Medicine, University of Belgrade, 11 000 Belgrade, Serbia.
- Clinic for Gastroenterology and Hepatology, Clinical Center of Serbia, 11 000 Belgrade, Serbia.
| | - Sanja Zgradic
- Clinic for Gastroenterology and Hepatology, Clinical Center of Serbia, 11 000 Belgrade, Serbia.
| | - Biljana Milicic
- Institute for Medical Informatics and Biostatistics, School of Dentistry, University of Belgrade, 11 000 Belgrade, Serbia.
| | - Igor Dumic
- Division of Hospital Medicine, Mayo Clinic Health System, Eau Claire, WI 54703, USA.
- Mayo Clinic College of Medicine and Sciences, Rochester, MN 55905, USA.
| | - Stefan Kmezic
- Clinic for Abdominal Surgery-First Surgical Clinic, Clinical Center of Serbia, 11 000 Belgrade, Serbia.
| | - Dusan Saponjski
- Center for Radiology and MRI, Clinical Center of Serbia, 11 000 Belgrade, Serbia.
| | - Andrija Antic
- School of Medicine, University of Belgrade, 11 000 Belgrade, Serbia.
- Clinic for Abdominal Surgery-First Surgical Clinic, Clinical Center of Serbia, 11 000 Belgrade, Serbia.
| | - Velimir Markovic
- School of Medicine, University of Belgrade, 11 000 Belgrade, Serbia.
- Clinic for Abdominal Surgery-First Surgical Clinic, Clinical Center of Serbia, 11 000 Belgrade, Serbia.
| | - Dragan Popovic
- School of Medicine, University of Belgrade, 11 000 Belgrade, Serbia.
- Clinic for Gastroenterology and Hepatology, Clinical Center of Serbia, 11 000 Belgrade, Serbia.
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16
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The Liver Fat Fraction and Abdominal Subcutaneous and Visceral Fat Volume Distribution in Normal-Weight, Overweight, and Obese Children Using a New Magnetic Resonance Imaging Technique. J Comput Assist Tomogr 2019; 43:194-199. [PMID: 30371614 DOI: 10.1097/rct.0000000000000803] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVES The purpose of this study was to evaluate liver fat fraction and subcutaneous and visceral fat volumes using new magnetic resonance imaging in normal-weight, overweight, and obese children. METHODS Patients at below the 85th percentile of body mass index (BMI) z score (5/25 patients) were assigned to the normal-weight group; patients between 85th and 95th percentile of BMI z score (9/25 patients) were assigned to the overweight group, and patients above the 95th percentile of BMI z score (11/25 patients) were assigned to the obese group. Liver fat fraction and subcutaneous and visceral fat volumes were measured on 3-dimensional volume measurement workstation. RESULTS Liver fat fraction and subcutaneous fat volume had weak correlation (r = 0.18, P = 0.411). Liver fat fraction and visceral fat volume revealed weak correlation (r = 0.25, P = 0.672); visceral and subcutaneous fat volume demonstrated strong correlation (r = 0.67, P = 0.047). CONCLUSIONS There is strong correlation between subcutaneous fat volume and visceral fat volume in overweight and obese children.
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Wu Z, Xu J, Tan J, Song Y, Liu L, Zhang F, Zhang Y, Li X, Chi Y, Liu Y. Mesenteric adipose tissue B lymphocytes promote local and hepatic inflammation in non-alcoholic fatty liver disease mice. J Cell Mol Med 2019; 23:3375-3385. [PMID: 30772951 PMCID: PMC6484337 DOI: 10.1111/jcmm.14232] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Revised: 11/14/2018] [Accepted: 01/29/2019] [Indexed: 12/13/2022] Open
Abstract
Mesenteric adipose tissue (MAT) inflammation is associated with non‐alcoholic fatty liver disease (NAFLD), and immune cells play pivotal roles in the inflammation of adipose tissue. Here, we investigated the roles of MAT B lymphocytes in NAFLD. Mice fed with high‐fat diet (HFD) and normal diet (ND) were killed in time gradients (4, 8 and 12 weeks). Compared with ND‐fed mice, intra‐hepatic CD45+CD19+ B lymphocytes increased after 4 weeks (P < 0.01) of HFD feeding, and lasted until the 12th week, infiltrated earlier than CD45+CD3+ T lymphocytes and CD45+F4/80+ macrophages. The mRNA expression of tumour necrosis factor (TNF)‐α, interleukin (IL)‐6 and monocyte chemotactic protein (MCP)‐1 decreased in MAT of Bnull HFD‐fed mice compared to that in wild‐type HFD‐fed mice, along with lesser macrophages. Mesenteric adipose tissue B cells from HFD‐fed mice promoted macrophage differentiation to type‐Ι macrophages and expression of pro‐inflammatory cytokines in vitro. Macrophages pre‐treated with MAT B cells from HFD‐fed mice showed elevated mRNA expression of IL‐6 and TNF‐α and declined IL‐10 levels in adipocytes compared to ND MAT B cell pre‐treated macrophages. Besides, internal near‐infrared scanning and external transwell assay showed that HFD MAT B cells migrated to the liver more than ND MAT B cells. High‐fat diet MAT B cells induced higher MCP‐1 and lower IL‐10 expression in primary hepatocytes compared to ND MAT B cells in co‐culture experiment. These data indicate that B lymphocytes infiltrate early in MAT during the development of NAFLD, which may not only promote MAT inflammation by regulating macrophages but also migrate to the liver and induce hepatocytes inflammation.
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Affiliation(s)
- Zhe Wu
- Department of Gastroenterology, Peking University People's Hospital, Beijing, P.R. China.,Clinical Center of Immune-Mediated Digestive Diseases, Peking University People's Hospital, Beijing, P.R. China
| | - Jun Xu
- Department of Gastroenterology, Peking University People's Hospital, Beijing, P.R. China.,Clinical Center of Immune-Mediated Digestive Diseases, Peking University People's Hospital, Beijing, P.R. China
| | - Jiang Tan
- Gerontology, Peking University People's Hospital, Beijing, P.R. China
| | - Yang Song
- Department of Gastroenterology, Peking University People's Hospital, Beijing, P.R. China.,Clinical Center of Immune-Mediated Digestive Diseases, Peking University People's Hospital, Beijing, P.R. China
| | - Ling Liu
- Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, P.R. China
| | - Feng Zhang
- Department of Gastroenterology, Peking University People's Hospital, Beijing, P.R. China.,Clinical Center of Immune-Mediated Digestive Diseases, Peking University People's Hospital, Beijing, P.R. China
| | - Yifan Zhang
- Department of Gastroenterology, Peking University People's Hospital, Beijing, P.R. China.,Clinical Center of Immune-Mediated Digestive Diseases, Peking University People's Hospital, Beijing, P.R. China
| | - Xia Li
- Gerontology, Peking University People's Hospital, Beijing, P.R. China
| | - Yujing Chi
- Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, P.R. China
| | - Yulan Liu
- Department of Gastroenterology, Peking University People's Hospital, Beijing, P.R. China.,Clinical Center of Immune-Mediated Digestive Diseases, Peking University People's Hospital, Beijing, P.R. China
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18
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Wu Z, Tan J, Chi Y, Zhang F, Xu J, Song Y, Cong X, Wu N, Liu Y. Mesenteric adipose tissue contributes to intestinal barrier integrity and protects against nonalcoholic fatty liver disease in mice. Am J Physiol Gastrointest Liver Physiol 2018; 315:G659-G670. [PMID: 29902065 DOI: 10.1152/ajpgi.00079.2018] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Visceral adipose tissue (VAT) is related to nonalcoholic fatty liver disease (NAFLD). However, the role of mesenteric adipose tissue (MAT), part of the VAT, in NAFLD is unclear. In the present study, we monitored the liver and four depots of the VAT in high-fat diet (HFD)-feeding mice at multiple time points (4, 8, and 12 wk). The MAT had become inflamed by the eighth week of HFD feeding, earlier than other depots of VAT. Furthermore, MAT removal after 8 wk of HFD resulted in more severe steatosis and more foci of inflammation infiltration, as well as higher NAFLD activity scores. Consistent with these findings, the mRNA expression of proinflammatory cytokines and lipid anabolism genes was increased in the livers of inflamed MAT-removal mice. MAT removal also injured the intestinal barrier and promoted intestinal inflammation. The bacterial load translocated to the liver and circulating levels of lipopolysaccharide were also evaluated in inflamed MAT-removal mice. In a coculture experiment involving adipocytes and intestinal epithelial cells, mRNA expression of zonula occludens-1 (ZO-1), and occludin in CT-26 cells was upregulated and permeability of monolayer Caco-2 cells was elevated under stimulation from adipocytes or inflamed adipocytes. Taken together, these results demonstrated that MAT removal damaged the intestinal barrier and aggravated NAFLD and that MAT inflammation may be a compensatory response to protect the liver by maintaining the intestinal barrier. NEW & NOTEWORTHY The mesenteric adipose tissue (MAT) lies between the gut and liver and plays a critical role in hepatic metabolic diseases. In the present study, we found that the MAT was prone to inflammation in high-fat diet-fed mice. Removal of the inflamed MAT resulted in more hepatic inflammation, lipid accumulation, and decreased glucose tolerance. Furthermore, we showed that the MAT contributed to intestinal barrier integrity, thus clarifying why MAT removal aggravated nonalcoholic fatty liver disease.
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Affiliation(s)
- Zhe Wu
- Department of Gastroenterology, Peking University People's Hospital , Beijing , People's Republic of China.,Clinical Center of Immune-Mediated Digestive Diseases, Peking University People's Hospital , Beijing , People's Republic of China
| | - Jiang Tan
- Department of Gastroenterology, Peking University People's Hospital , Beijing , People's Republic of China.,Clinical Center of Immune-Mediated Digestive Diseases, Peking University People's Hospital , Beijing , People's Republic of China
| | - Yujing Chi
- Central Laboratory & Institute of Clinical Molecular Biology Peking University People's Hospital , Beijing , People's Republic of China
| | - Feng Zhang
- Department of Gastroenterology, Peking University People's Hospital , Beijing , People's Republic of China.,Clinical Center of Immune-Mediated Digestive Diseases, Peking University People's Hospital , Beijing , People's Republic of China
| | - Jun Xu
- Department of Gastroenterology, Peking University People's Hospital , Beijing , People's Republic of China.,Clinical Center of Immune-Mediated Digestive Diseases, Peking University People's Hospital , Beijing , People's Republic of China
| | - Yang Song
- Department of Gastroenterology, Peking University People's Hospital , Beijing , People's Republic of China.,Clinical Center of Immune-Mediated Digestive Diseases, Peking University People's Hospital , Beijing , People's Republic of China
| | - Xu Cong
- Hepatology Institute, Peking University People's Hospital, Beijing, People's Republic of China
| | - Na Wu
- Central Laboratory & Institute of Clinical Molecular Biology Peking University People's Hospital , Beijing , People's Republic of China
| | - Yulan Liu
- Department of Gastroenterology, Peking University People's Hospital , Beijing , People's Republic of China.,Clinical Center of Immune-Mediated Digestive Diseases, Peking University People's Hospital , Beijing , People's Republic of China
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Iñiguez M, Pérez-Matute P, Villanueva-Millán MJ, Recio-Fernández E, Roncero-Ramos I, Pérez-Clavijo M, Oteo JA. Agaricus bisporus supplementation reduces high-fat diet-induced body weight gain and fatty liver development. J Physiol Biochem 2018; 74:635-646. [PMID: 30288689 DOI: 10.1007/s13105-018-0649-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Accepted: 09/12/2018] [Indexed: 02/06/2023]
Abstract
Obesity is a global epidemic characterized not only by excessive fat deposition but also by important complications such as nonalcoholic liver steatosis. Beneficial antiobesogenic effects have been described for some mushrooms. The current study aimed to demonstrate the protective effect of Agaricus bisporus (AB) supplementation against the metabolic alterations induced by high-fat-diet (HFD) feeding. Eight-week-old C57BL/6J mice were fed for 10 weeks with one of the following diets: (1) control diet (n = 7), (2) HFD (n = 7), (3) HFD supplemented with 5% AB (n = 9), and (4) HFD supplemented with 10% AB (n = 9). A pair-fed group was also included for the 10% AB group (n = 6). The impact of AB supplementation on food intake, body weight gain, and liver and fat pad weights was examined. Biochemical, histological, and molecular parameters were also analyzed. Dietary supplementation with 10% AB reduced the HFD-induced increase in body, epididymal, and mesenteric fat weights (p < 0.01, p < 0.05, and p < 0.05, respectively). Supplementation with AB also reduced liver damage in a dose-dependent manner (p < 0.01 and p < 0.001). This effect was confirmed by histological analysis that showed that liver steatosis was markedly reduced in mice fed with AB. The beneficial properties of 10% AB supplementation appear to be mediated through a decrease in food intake and via stimulation of mesenteric and hepatic free-fatty acid beta-oxidation, along with a decrease in epidydimal and hepatic expression of CD36. In conclusion, supplementation with AB prevents excessive body weight gain and liver steatosis induced by HFD consumption.
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Affiliation(s)
- María Iñiguez
- Infectious Diseases, Microbiota and Metabolism Unit, Infectious Diseases Department, Center for Biomedical Research of La Rioja (CIBIR), Piqueras 98, 3rd floor, 26006, Logroño, La Rioja, Spain
| | - Patricia Pérez-Matute
- Infectious Diseases, Microbiota and Metabolism Unit, Infectious Diseases Department, Center for Biomedical Research of La Rioja (CIBIR), Piqueras 98, 3rd floor, 26006, Logroño, La Rioja, Spain.
| | - María Jesús Villanueva-Millán
- Infectious Diseases, Microbiota and Metabolism Unit, Infectious Diseases Department, Center for Biomedical Research of La Rioja (CIBIR), Piqueras 98, 3rd floor, 26006, Logroño, La Rioja, Spain
| | - Emma Recio-Fernández
- Infectious Diseases, Microbiota and Metabolism Unit, Infectious Diseases Department, Center for Biomedical Research of La Rioja (CIBIR), Piqueras 98, 3rd floor, 26006, Logroño, La Rioja, Spain
| | - Irene Roncero-Ramos
- Mushroom Technological Research Center of La Rioja (CTICH), Autol, La Rioja, Spain
| | | | - José-Antonio Oteo
- Infectious Diseases, Microbiota and Metabolism Unit, Infectious Diseases Department, Center for Biomedical Research of La Rioja (CIBIR), Piqueras 98, 3rd floor, 26006, Logroño, La Rioja, Spain.,Infectious Diseases Department, Hospital San Pedro, Logroño, La Rioja, Spain
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Xylobiose Prevents High-Fat Diet Induced Mice Obesity by Suppressing Mesenteric Fat Deposition and Metabolic Dysregulation. Molecules 2018; 23:molecules23030705. [PMID: 29558403 PMCID: PMC6017709 DOI: 10.3390/molecules23030705] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Revised: 03/09/2018] [Accepted: 03/16/2018] [Indexed: 12/13/2022] Open
Abstract
Obesity is a public concern and is responsible for various metabolic diseases. Xylobiose (XB), an alternative sweetener, is a major component of xylo-oligosaccharide. The purpose of this study was to investigate the effects of XB on obesity and its associated metabolic changes in related organs. For these studies, mice received a 60% high-fat diet supplemented with 15% d-xylose, 10% XB, or 15% XB as part of the total sucrose content of the diet for ten weeks. Body weight, fat and liver weights, fasting blood glucose, and blood lipids levels were significantly reduced with XB supplementation. Levels of leptin and adipokine were also improved and lipogenic and adipogenic genes in mesenteric fat and liver were down-regulated with XB supplementation. Furthermore, pro-inflammatory cytokines, fatty acid uptake, lipolysis, and β-oxidation-related gene expression levels in mesenteric fat were down-regulated with XB supplementation. Thus, XB exhibited therapeutic potential for treating obesity which involved suppression of fat deposition and obesity-related metabolic disorders.
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21
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Siu SP, Leung WK, Wan PS, Liu EK, Lai CW. Association between sonographically measured mesenteric fat thickness and brachial artery flow-mediated dilation in Chinese young male adults. J Int Med Res 2017; 45:1930-1938. [PMID: 29239246 PMCID: PMC5805196 DOI: 10.1177/0300060516688407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Objective To investigate the potential correlation between sonographically measured mesenteric fat thickness (MFT) and brachial artery flow-mediated dilation (FMD) in a sample of healthy Chinese male young adults. Methods Healthy male participants were recruited from Hong Kong Polytechnic University for this prospective observational study. The physical activity readiness questionnaire and ultrasound measurements of carotid intima media thickness were used to screen for clinically healthy subjects. MFT and brachial artery FMD were measured by ultrasound, and body mass index (BMI) was recorded. Results A total of 34 healthy male subjects, aged 19-26 years (mean ± SD BMI, 21.7 ± 3.2 kg/m2) were included. Pearson's correlation coefficient test showed that brachial artery FMD had a statistically significant inverse relationship with BMI and with Log (MFT). Further stepwise multiple linear regression analysis showed that Log (MFT), and not BMI, was an independent predictor of impaired brachial artery FMD. Conclusions Sonographic measurements of MFT were an independent predictor of brachial artery FMD in Chinese male young adults.
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Affiliation(s)
- Stanley Py Siu
- 1 Department of Health Technology and Informatics, the Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Wilson Kc Leung
- 1 Department of Health Technology and Informatics, the Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Polly Sc Wan
- 1 Department of Health Technology and Informatics, the Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Eric Kh Liu
- 2 Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Christopher Wk Lai
- 1 Department of Health Technology and Informatics, the Hong Kong Polytechnic University, Hung Hom, Hong Kong
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22
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Non-alcoholic Fatty Liver Disease in Morbidly Obese Individuals Undergoing Bariatric Surgery: Prevalence and Effect of the Pre-Bariatric Very Low Calorie Diet. Obes Surg 2017; 28:1109-1116. [DOI: 10.1007/s11695-017-2980-3] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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23
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Jee AS, Corte TJ, Wort SJ, Eves ND, Wainwright CE, Piper A. Year in review 2016: Interstitial lung disease, pulmonary vascular disease, pulmonary function, paediatric lung disease, cystic fibrosis and sleep. Respirology 2017; 22:1022-1034. [PMID: 28544189 DOI: 10.1111/resp.13080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 04/18/2017] [Indexed: 12/12/2022]
Affiliation(s)
- Adelle S Jee
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.,Central Clinical School, University of Sydney, Sydney, New South Wales, Australia
| | - Tamera J Corte
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.,Central Clinical School, University of Sydney, Sydney, New South Wales, Australia
| | - Stephen J Wort
- Pulmonary Hypertension Department, Royal Brompton Hospital and Imperial College, London, UK
| | - Neil D Eves
- Centre for Heart, Lung and Vascular Health, School of Health and Exercise Sciences, Faculty of Health and Social Development, University of British Columbia, Kelowna, British Columbia, Canada
| | - Claire E Wainwright
- School of Medicine, Lady Cilento Children's Hospital, University of Queensland, Brisbane, Queensland, Australia
| | - Amanda Piper
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.,Central Clinical School, University of Sydney, Sydney, New South Wales, Australia
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24
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Lu YL, Lin SY, Fang SU, Hsieh YY, Chen CR, Wen CL, Chang CI, Hou WC. Hot-Water Extracts from Roots of Vitis thunbergii var. taiwaniana and Identified ε-Viniferin Improve Obesity in High-Fat Diet-Induced Mice. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2017; 65:2521-2529. [PMID: 28285527 DOI: 10.1021/acs.jafc.7b00327] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
In this study, hot-water extracts (HW) from roots of Vitis thunbergii var. taiwaniana (VTT-R) were shown to lower levels of lipid accumulation significantly (P < 0.01 or 0.001) compared to the control in 3T3-L1 adipocytes. The VTT-R-HW (40 mg/kg) interventions concurrent with a high-fat (HF) diet in C57BL/6 mice over a 5 eek period were shown to reduce body weights significantly (P < 0.05) compared to those of mice fed a HF diet under the same food-intake regimen. The (+)-ε-viniferin isolated from VTT-R-HW was shown to reduce the size of lipid deposits significantly compared to the control (P < 0.05 or 0.001) in 3T3-L1 adipocytes, and dose-dependent 3-hydroxy-3-methylglutaryl-CoA (HMG-CoA) reductase inhibitions showed that the 50% inhibitory concentration was calculated to be 96 μM. The two-stage (+)-ε-viniferin interventions (10 mg/kg, day 1 to day 38; 25 mg/kg, day 39 to day 58) were shown to lower mice body weights significantly (P < 0.05 or 0.001), the weight ratio of mesenteric fat, blood glucose, total cholesterol, and low-density lipoprotein compared to that of the HF group under the same food-intake regimen but without concurrent VTT-R-HW interventions. It might be possible to use VTT-R-HW or (+)-ε-viniferin as an ingredient in the development of functional foods for weight management, and this will need to be investigated further.
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Affiliation(s)
| | | | | | | | - Chiy-Rong Chen
- Department of Life Science, National Taitung University , Taitung 950, Taiwan
| | - Chi-Luan Wen
- Taiwan Seed Improvement and Propagation Station, Council of Agriculture , Taichung 426, Taiwan
| | - Chi-I Chang
- Department of Biological Science and Technology, National Pingtung University of Science and Technology , Pingtung 912, Taiwan
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25
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Kim M, Pichiah PBT, Kim DK, Cha YS. Black adzuki bean (Vigna angularis) extract exerts phenotypic effects on white adipose tissue and reverses liver steatosis in diet-induced obese mice. J Food Biochem 2016. [DOI: 10.1111/jfbc.12333] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Affiliation(s)
- Mina Kim
- Department of Food Science and Human Nutrition, and Research Institute of Human Ecology; Chonbuk National University; Jeonju 561-756 South Korea
| | | | - Dae Keun Kim
- College of Pharmacy; Woosuk University; Jeonju 565-701 South Korea
| | - Youn-Soo Cha
- Department of Food Science and Human Nutrition, and Research Institute of Human Ecology; Chonbuk National University; Jeonju 561-756 South Korea
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26
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Abstract
Low testosterone levels increase the risk for cardiovascular disease in men and lead to shorter life spans. Our recent study showed that androgen deprivation via castration altered fecal microbiota and exacerbated risk factors for cardiovascular disease, including obesity, impaired fasting glucose, excess hepatic triglyceride accumulation, and thigh muscle weight loss only in high-fat diet (HFD)-fed male mice. However, when mice were administered antibiotics that disrupted the gut microbiota, castration did not increase cardiovascular risks or decrease the ratio of dried feces to food intake. Here, we show that changes in cecal microbiota (e.g., an increased Firmicutes/Bacteroidetes ratio and number of Lactobacillus species) were consistent with changes in feces and that there was a decreased cecal content secondary to castration in HFD mice. Castration increased rectal body temperature and plasma adiponectin, irrespective of diet. Changes in the gut microbiome may provide novel insight into hypogonadism-induced cardiovascular diseases.
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Affiliation(s)
- Naoki Harada
- Division of Applied Life Sciences, Graduate
School of Life and Environmental Sciences, Osaka Prefecture University,
Sakai, Osaka, Japan,CONTACT Naoki Harada, Ph.D. ,
Division of Applied Life Sciences, Graduate School of Life and
Environmental Sciences, Osaka Prefecture University, 1-1
Gakuen-cho, Naka-ku, Sakai Osaka 599-8531,
Japan
| | - Ryo Hanaoka
- Division of Applied Life Sciences, Graduate
School of Life and Environmental Sciences, Osaka Prefecture University,
Sakai, Osaka, Japan
| | - Kazuki Hanada
- Division of Applied Life Sciences, Graduate
School of Life and Environmental Sciences, Osaka Prefecture University,
Sakai, Osaka, Japan
| | - Takeshi Izawa
- Division of Veterinary Science, Graduate
School of Life and Environmental Sciences, Osaka Prefecture University,
Izumisano, Osaka, Japan
| | - Hiroshi Inui
- Division of Clinical Nutrition, Graduate
School of Comprehensive Rehabilitation, Osaka Prefecture University,
Habikino, Osaka, Japan
| | - Ryoichi Yamaji
- Division of Applied Life Sciences, Graduate
School of Life and Environmental Sciences, Osaka Prefecture University,
Sakai, Osaka, Japan
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27
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Larner DP, Morgan SA, Gathercole LL, Doig CL, Guest P, Weston C, Hazeldine J, Tomlinson JW, Stewart PM, Lavery GG. Male 11β-HSD1 Knockout Mice Fed Trans-Fats and Fructose Are Not Protected From Metabolic Syndrome or Nonalcoholic Fatty Liver Disease. Endocrinology 2016; 157:3493-504. [PMID: 27384305 PMCID: PMC5007899 DOI: 10.1210/en.2016-1357] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) defines a spectrum of conditions from simple steatosis to nonalcoholic steatohepatitis (NASH) and cirrhosis and is regarded as the hepatic manifestation of the metabolic syndrome. Glucocorticoids can promote steatosis by stimulating lipolysis within adipose tissue, free fatty acid delivery to liver and hepatic de novo lipogenesis. Glucocorticoids can be reactivated in liver through 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) enzyme activity. Inhibition of 11β-HSD1 has been suggested as a potential treatment for NAFLD. To test this, male mice with global (11β-HSD1 knockout [KO]) and liver-specific (LKO) 11β-HSD1 loss of function were fed the American Lifestyle Induced Obesity Syndrome (ALIOS) diet, known to recapitulate the spectrum of NAFLD, and metabolic and liver phenotypes assessed. Body weight, muscle and adipose tissue masses, and parameters of glucose homeostasis showed that 11β-HSD1KO and LKO mice were not protected from systemic metabolic disease. Evaluation of hepatic histology, triglyceride content, and blinded NAFLD activity score assessment indicated that levels of steatosis were similar between 11β-HSD1KO, LKO, and control mice. Unexpectedly, histological analysis revealed significantly increased levels of immune foci present in livers of 11β-HSD1KO but not LKO or control mice, suggestive of a transition to NASH. This was endorsed by elevated hepatic expression of key immune cell and inflammatory markers. These data indicate that 11β-HSD1-deficient mice are not protected from metabolic disease or hepatosteatosis in the face of a NAFLD-inducing diet. However, global deficiency of 11β-HSD1 did increase markers of hepatic inflammation and suggests a critical role for 11β-HSD1 in restraining the transition to NASH.
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Affiliation(s)
- Dean P Larner
- Institute of Metabolism and Systems Research (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Centre for Endocrinology, Diabetes and Metabolism (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), Birmingham Health Partners, Birmingham B15 2TH, United Kingdom; Oxford Centre for Diabetes Endocrinology and Metabolism (L.L.G., J.W.T.), University of Oxford, Churchill Hospital, Headington, Oxford OX3 7LJ, United Kingdom; Institute for Immunology and Immunotherapy (C.W.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Institute of Inflammation and Ageing (J.H.), University of Birmingham, Birmingham B15 2TT, United Kingdom; and Faculty of Medicine and Health (P.M.S.), University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Stuart A Morgan
- Institute of Metabolism and Systems Research (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Centre for Endocrinology, Diabetes and Metabolism (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), Birmingham Health Partners, Birmingham B15 2TH, United Kingdom; Oxford Centre for Diabetes Endocrinology and Metabolism (L.L.G., J.W.T.), University of Oxford, Churchill Hospital, Headington, Oxford OX3 7LJ, United Kingdom; Institute for Immunology and Immunotherapy (C.W.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Institute of Inflammation and Ageing (J.H.), University of Birmingham, Birmingham B15 2TT, United Kingdom; and Faculty of Medicine and Health (P.M.S.), University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Laura L Gathercole
- Institute of Metabolism and Systems Research (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Centre for Endocrinology, Diabetes and Metabolism (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), Birmingham Health Partners, Birmingham B15 2TH, United Kingdom; Oxford Centre for Diabetes Endocrinology and Metabolism (L.L.G., J.W.T.), University of Oxford, Churchill Hospital, Headington, Oxford OX3 7LJ, United Kingdom; Institute for Immunology and Immunotherapy (C.W.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Institute of Inflammation and Ageing (J.H.), University of Birmingham, Birmingham B15 2TT, United Kingdom; and Faculty of Medicine and Health (P.M.S.), University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Craig L Doig
- Institute of Metabolism and Systems Research (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Centre for Endocrinology, Diabetes and Metabolism (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), Birmingham Health Partners, Birmingham B15 2TH, United Kingdom; Oxford Centre for Diabetes Endocrinology and Metabolism (L.L.G., J.W.T.), University of Oxford, Churchill Hospital, Headington, Oxford OX3 7LJ, United Kingdom; Institute for Immunology and Immunotherapy (C.W.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Institute of Inflammation and Ageing (J.H.), University of Birmingham, Birmingham B15 2TT, United Kingdom; and Faculty of Medicine and Health (P.M.S.), University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Phil Guest
- Institute of Metabolism and Systems Research (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Centre for Endocrinology, Diabetes and Metabolism (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), Birmingham Health Partners, Birmingham B15 2TH, United Kingdom; Oxford Centre for Diabetes Endocrinology and Metabolism (L.L.G., J.W.T.), University of Oxford, Churchill Hospital, Headington, Oxford OX3 7LJ, United Kingdom; Institute for Immunology and Immunotherapy (C.W.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Institute of Inflammation and Ageing (J.H.), University of Birmingham, Birmingham B15 2TT, United Kingdom; and Faculty of Medicine and Health (P.M.S.), University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Christopher Weston
- Institute of Metabolism and Systems Research (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Centre for Endocrinology, Diabetes and Metabolism (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), Birmingham Health Partners, Birmingham B15 2TH, United Kingdom; Oxford Centre for Diabetes Endocrinology and Metabolism (L.L.G., J.W.T.), University of Oxford, Churchill Hospital, Headington, Oxford OX3 7LJ, United Kingdom; Institute for Immunology and Immunotherapy (C.W.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Institute of Inflammation and Ageing (J.H.), University of Birmingham, Birmingham B15 2TT, United Kingdom; and Faculty of Medicine and Health (P.M.S.), University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Jon Hazeldine
- Institute of Metabolism and Systems Research (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Centre for Endocrinology, Diabetes and Metabolism (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), Birmingham Health Partners, Birmingham B15 2TH, United Kingdom; Oxford Centre for Diabetes Endocrinology and Metabolism (L.L.G., J.W.T.), University of Oxford, Churchill Hospital, Headington, Oxford OX3 7LJ, United Kingdom; Institute for Immunology and Immunotherapy (C.W.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Institute of Inflammation and Ageing (J.H.), University of Birmingham, Birmingham B15 2TT, United Kingdom; and Faculty of Medicine and Health (P.M.S.), University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Jeremy W Tomlinson
- Institute of Metabolism and Systems Research (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Centre for Endocrinology, Diabetes and Metabolism (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), Birmingham Health Partners, Birmingham B15 2TH, United Kingdom; Oxford Centre for Diabetes Endocrinology and Metabolism (L.L.G., J.W.T.), University of Oxford, Churchill Hospital, Headington, Oxford OX3 7LJ, United Kingdom; Institute for Immunology and Immunotherapy (C.W.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Institute of Inflammation and Ageing (J.H.), University of Birmingham, Birmingham B15 2TT, United Kingdom; and Faculty of Medicine and Health (P.M.S.), University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Paul M Stewart
- Institute of Metabolism and Systems Research (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Centre for Endocrinology, Diabetes and Metabolism (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), Birmingham Health Partners, Birmingham B15 2TH, United Kingdom; Oxford Centre for Diabetes Endocrinology and Metabolism (L.L.G., J.W.T.), University of Oxford, Churchill Hospital, Headington, Oxford OX3 7LJ, United Kingdom; Institute for Immunology and Immunotherapy (C.W.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Institute of Inflammation and Ageing (J.H.), University of Birmingham, Birmingham B15 2TT, United Kingdom; and Faculty of Medicine and Health (P.M.S.), University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Gareth G Lavery
- Institute of Metabolism and Systems Research (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Centre for Endocrinology, Diabetes and Metabolism (D.P.L., S.A.M., C.L.D., P.G., G.G.L.), Birmingham Health Partners, Birmingham B15 2TH, United Kingdom; Oxford Centre for Diabetes Endocrinology and Metabolism (L.L.G., J.W.T.), University of Oxford, Churchill Hospital, Headington, Oxford OX3 7LJ, United Kingdom; Institute for Immunology and Immunotherapy (C.W.), University of Birmingham, Birmingham B15 2TT, United Kingdom; Institute of Inflammation and Ageing (J.H.), University of Birmingham, Birmingham B15 2TT, United Kingdom; and Faculty of Medicine and Health (P.M.S.), University of Leeds, Leeds LS2 9JT, United Kingdom
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28
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Kong APS, Luk AOY, Chan JCN. Detecting people at high risk of type 2 diabetes- How do we find them and who should be treated? Best Pract Res Clin Endocrinol Metab 2016; 30:345-55. [PMID: 27432070 DOI: 10.1016/j.beem.2016.06.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Diabetes is a chronic disease characterized by its silent and progressive nature. The prevalence of type 2 diabetes (T2DM) increases with age but with a worrying trend of increasingly young age of diagnosis. Compared to their counterparts with late onset of disease, these younger subjects face long disease duration with increased risk of diabetes-related complications. Besides, there is marked phenotypic heterogeneity which can interact with different interventions to give rise to variable clinical outcomes. Recognized at-risk groups include those with known atherosclerosis and vascular disease, genetic background (family history and non-White ethnic groups), phenotypes of insulin resistance (obesity, metabolic syndrome, women with gestational diabetes or polycystic ovarian syndrome, and men with androgen deficiency) and "pre-diabetes" (impaired glucose tolerance and impaired fasting glucose). These risk factors interact to amplify the risk for diabetes, thus emphasizing the importance of comprehensive assessment. Raising awareness and health literacy, regular screening of high risk subjects, structured lifestyle modification program including early use of pharmacological agents, targeting at predominant pathophysiological defects offers a personalized approach to prevent this global hazard.
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Affiliation(s)
- Alice P S Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Andrea O Y Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China.
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29
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Bazzocchi A, Filonzi G, Ponti F, Albisinni U, Guglielmi G, Battista G. Ultrasound: Which role in body composition? Eur J Radiol 2016; 85:1469-80. [PMID: 27235340 DOI: 10.1016/j.ejrad.2016.04.005] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2015] [Revised: 03/01/2016] [Accepted: 04/13/2016] [Indexed: 01/21/2023]
Abstract
Ultrasound is a non-invasive, fast, relatively inexpensive and available tool for estimating adiposity in clinical practice, and in several research settings. It does not expose patients to ionizing radiation risks, making the method ideal for the evaluation, and for follow-up studies. Several parameters and indexes based on adipose tissue thickness have been introduced and tested, and these have been correlated with clinical and laboratoristic parameters. Moreover, ultrasound can also be directed to the estimation of adipose tissue and intracellular fat indirectly, at cellular-molecular level: an opportunity for many radiologists who already and sometimes unconsciously perform "body composition" assessment when looking at the liver, at muscle as well as at other organs. However, standardized procedure and parameters are needing to improve accuracy and reproducibility. The purposes of this review are: 1) to provide a complete overview of the most used and shared measurements of adiposity; 2) to analyze technical conditions, accuracy, and clinical meaning of ultrasound in the study of body composition; 3) to provide some elements for the use of ultrasound in the evaluation of intra-cellular lipids accumulation, in two hot spots: liver and skeletal muscle.
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Affiliation(s)
- Alberto Bazzocchi
- Diagnostic and Interventional Radiology, The "Rizzoli" Orthopaedic Institute, Via G. C. Pupilli 1, 40136 Bologna, Italy.
| | - Giacomo Filonzi
- Diagnostic and Interventional Radiology, The "Rizzoli" Orthopaedic Institute, Via G. C. Pupilli 1, 40136 Bologna, Italy
| | - Federico Ponti
- Diagnostic and Interventional Radiology, The "Rizzoli" Orthopaedic Institute, Via G. C. Pupilli 1, 40136 Bologna, Italy; Department of Specialized, Diagnostic, and Experimental Medicine, University of Bologna. Sant'Orsola-Malpighi Hospital, Via G. Massarenti 9, 40138 Bologna, Italy
| | - Ugo Albisinni
- Diagnostic and Interventional Radiology, The "Rizzoli" Orthopaedic Institute, Via G. C. Pupilli 1, 40136 Bologna, Italy
| | - Giuseppe Guglielmi
- Department of Radiology, University of Foggia, Viale Luigi Pinto 1, 71100 Foggia, Italy; Department of Radiology, Scientific Institute "Casa Sollievo della Sofferenza" Hospital, Viale Cappuccini 1, 71013 San Giovanni Rotondo, Foggia, Italy
| | - Giuseppe Battista
- Department of Specialized, Diagnostic, and Experimental Medicine, University of Bologna. Sant'Orsola-Malpighi Hospital, Via G. Massarenti 9, 40138 Bologna, Italy
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30
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Chin K. Analyses of abdominal fat and sleep apnea. Respirology 2016; 21:408-9. [DOI: 10.1111/resp.12776] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2016] [Accepted: 02/15/2016] [Indexed: 11/29/2022]
Affiliation(s)
- Kazuo Chin
- Respiratory Care and Sleep Medicine, Graduate School of Medicine; Kyoto University; Kyoto Japan
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31
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Liu KH, Chu WC, To KW, Ko FW, Ng SS, Ngai JC, Chan KP, Yip WH, Ahuja AT, Hui DS. Mesenteric fat thickness is associated with metabolic syndrome independently of Apnoea-Hypopnoea Index in subjects with obstructive sleep apnoea. Respirology 2015; 21:533-40. [DOI: 10.1111/resp.12715] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2015] [Revised: 08/24/2015] [Accepted: 09/02/2015] [Indexed: 02/02/2023]
Affiliation(s)
- Kin Hung Liu
- Department of Imaging and Interventional Radiology; The Chinese University of Hong Kong; Hong Kong
| | - Winnie C.W. Chu
- Department of Imaging and Interventional Radiology; The Chinese University of Hong Kong; Hong Kong
| | - Kin Wang To
- Department of Medicine and Therapeutics; The Chinese University of Hong Kong; Hong Kong
| | - Fanny W.S. Ko
- Department of Medicine and Therapeutics; The Chinese University of Hong Kong; Hong Kong
| | - Susanna S.S. Ng
- Department of Medicine and Therapeutics; The Chinese University of Hong Kong; Hong Kong
| | - Jenny C.L. Ngai
- Department of Medicine and Therapeutics; The Chinese University of Hong Kong; Hong Kong
| | - Ka Pang Chan
- Department of Medicine and Therapeutics; The Chinese University of Hong Kong; Hong Kong
| | - Wing Ho Yip
- Department of Medicine and Therapeutics; The Chinese University of Hong Kong; Hong Kong
| | - Anil T. Ahuja
- Department of Imaging and Interventional Radiology; The Chinese University of Hong Kong; Hong Kong
| | - David S.C. Hui
- Department of Medicine and Therapeutics; The Chinese University of Hong Kong; Hong Kong
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32
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Moyes KM. TRIENNIAL LACTATION SYMPOSIUM: Nutrient partitioning during intramammary inflammation: A key to severity of mastitis and risk of subsequent diseases?1. J Anim Sci 2015; 93:5586-93. [DOI: 10.2527/jas.2015-8945] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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33
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Bardoxolone Methyl Prevents Mesenteric Fat Deposition and Inflammation in High-Fat Diet Mice. ScientificWorldJournal 2015; 2015:549352. [PMID: 26618193 PMCID: PMC4651788 DOI: 10.1155/2015/549352] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Accepted: 10/18/2015] [Indexed: 12/15/2022] Open
Abstract
Mesenteric fat belongs to visceral fat. An increased deposition of mesenteric fat contributes to obesity associated complications such as type 2 diabetes and cardiovascular diseases. We have investigated the therapeutic effects of bardoxolone methyl (BARD) on mesenteric adipose tissue of mice fed a high-fat diet (HFD). Male C57BL/6J mice were administered oral BARD during HFD feeding (HFD/BARD), only fed a high-fat diet (HFD), or fed low-fat diet (LFD) for 21 weeks. Histology and immunohistochemistry were used to analyse mesenteric morphology and macrophages, while Western blot was used to assess the expression of inflammatory, oxidative stress, and energy expenditure proteins. Supplementation of drinking water with BARD prevented mesenteric fat deposition, as determined by a reduction in large adipocytes. BARD prevented inflammation as there were fewer inflammatory macrophages and reduced proinflammatory cytokines (interleukin-1 beta and tumour necrosis factor alpha). BARD reduced the activation of extracellular signal-regulated kinase (ERK) and Akt, suggesting an antioxidative stress effect. BARD upregulates energy expenditure proteins, judged by the increased activity of tyrosine hydroxylase (TH) and AMP-activated protein kinase (AMPK) and increased peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α), and uncoupling protein 2 (UCP2) proteins. Overall, BARD induces preventive effect in HFD mice through regulation of mesenteric adipose tissue.
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Liu KH, Chu WCW, To KW, Ko FWS, Ng SSS, Ngai JCL, Chan JWS, Ahuja AT, Hui DSC. Mesenteric fat thickness is associated with increased risk of obstructive sleep apnoea. Respirology 2014; 19:92-7. [PMID: 23927388 DOI: 10.1111/resp.12164] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2012] [Revised: 02/21/2013] [Accepted: 07/03/2013] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND OBJECTIVE Mesenteric fat is a type of intraperitoneal adipose tissue draining into portal circulation. The objective of this study was to investigate the relationships between mesenteric fat thickness and obstructive sleep apnoea (OSA) in patients with suspected OSA. METHODS One hundred forty-nine subjects (men: 114; women: 35) with suspected OSA underwent ultrasound examinations of mesenteric, preperitoneal and subcutaneous fat thickness after overnight polysomnography. Body mass index (BMI) and neck circumference were recorded. RESULTS The subjects with OSA (n = 130, apnoea/hypopnoea index (AHI) >5/h) had greater neck circumference, higher BMI, and greater mesenteric and preperitoneal fat thickness than those without OSA (n = 19, AHI ≤ 5/h). There was positive correlation of AHI with mesenteric (r = 0.43, P < 0.001) and preperitoneal fat thickness (r = 0.3, P < 0.001), whereas no significant association was observed between AHI and subcutaneous fat thickness (r = 0.09, P = 0.27). On multivariate logistic regression, after adjustments for gender, age, BMI, neck circumference, and preperitoneal and subcutaneous fat thickness, the mesenteric fat thickness had a positive association with the presence of moderate OSA and severe OSA, with odds ratios of 7.18 and 7.45 for every 1 cm increase in mesenteric fat thickness when AHI was defined as ≥15/h and AHI ≥ 30/h, respectively. CONCLUSIONS Mesenteric fat thickness is associated with increased risk of OSA, independent of other abdominal fat thickness, BMI and neck circumference. Sonographic measurement is potentially a useful tool for further evaluating the complex association of visceral fat, metabolic syndrome and OSA.
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Affiliation(s)
- Kin Hung Liu
- Department of Imaging and Interventional Radiology, The Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong
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Kurmann A, Wanner B, Martens F, Klasen J, Stickel F, Montani M, Candinas D, Beldi G. Hepatic steatosis is associated with surgical-site infection after hepatic and colorectal surgery. Surgery 2014; 156:109-16. [PMID: 24929762 DOI: 10.1016/j.surg.2014.02.020] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2013] [Accepted: 02/24/2014] [Indexed: 01/13/2023]
Abstract
BACKGROUND Obesity and increased visceral fat deposits are important risk factors for surgical-site infection (SSI). Interestingly, a potential role of hepatic steatosis on complications after extrahepatic surgery remains unknown. The aim of the present study was to investigate the impact of hepatic steatosis on SSI in patients that underwent open abdominal surgery. METHODS A total of 231 patients that underwent either liver (n = 116) or colorectal (n = 115) resection and received preoperative contrast-enhanced computed tomography scans were retrospectively investigated. Signal attenuation of the liver parenchyma was measured on computed tomography scans to assess hepatic steatosis. RESULTS More SSIs (including types 1, 2, and 3) were found in the group with hepatic steatosis (56/118 [47.5%]) compared with the control group (30/113 [26.6%]; P = .001). Patients with hepatic steatosis showed greater median body mass index than patients without hepatic steatosis (26.6 kg/m(2) [range 16.8-47.0 kg/m(2)] vs 23.2 kg/m(2) [15.9-32.7 kg/m(2)]; P < .001). Patients with hepatic steatosis experienced longer median operation times (297 minutes [52-708 minutes] vs 240 minutes [80-600 minutes]; P = .003). In a multivariate analysis, hepatic steatosis was identified as an independent risk factor for SSI in patients undergoing hepatic (odds ratio 10.33 [95% confidence interval 1.19-89.76]; P = .03) or colorectal (odds ratio 6.67 [95% confidence interval 1.12-39.33]; P = .04) operation. CONCLUSION Hepatic steatosis is associated with SSI after hepatic and colorectal operation.
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Affiliation(s)
- Anita Kurmann
- Department of Visceral Surgery and Medicine, Inselspital University Hospital Bern and University Bern, Bern, Switzerland
| | - Beatrice Wanner
- Department of Visceral Surgery and Medicine, Inselspital University Hospital Bern and University Bern, Bern, Switzerland
| | - Florian Martens
- Department of Visceral Surgery and Medicine, Inselspital University Hospital Bern and University Bern, Bern, Switzerland
| | - Jennifer Klasen
- Department of Visceral Surgery and Medicine, Inselspital University Hospital Bern and University Bern, Bern, Switzerland
| | - Felix Stickel
- Department of Visceral Surgery and Medicine, Inselspital University Hospital Bern and University Bern, Bern, Switzerland
| | - Matteo Montani
- Institute of Pathology, University of Bern, Bern, Switzerland
| | - Daniel Candinas
- Department of Visceral Surgery and Medicine, Inselspital University Hospital Bern and University Bern, Bern, Switzerland
| | - Guido Beldi
- Department of Visceral Surgery and Medicine, Inselspital University Hospital Bern and University Bern, Bern, Switzerland.
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McLeod G, Geddes D, Nathan E, Sherriff J, Simmer K, Hartmann P. Feasibility of using ultrasound to measure preterm body composition and to assess macronutrient influences on tissue accretion rates. Early Hum Dev 2013; 89:577-82. [PMID: 23535172 DOI: 10.1016/j.earlhumdev.2013.02.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2012] [Revised: 02/16/2013] [Accepted: 02/20/2013] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND AIMS To assess ultrasound as a method for (i) measuring body composition (BC) of preterm infants and for (ii) assessing the influence of macronutrient intakes on tissue accretion rates. METHODS Preterm ultrasound studies of four anatomical sites were performed approximately every three weeks from birth to corrected-term age. Preterm measurements were compared to foetal reference data. Duplicate scans at each site were taken on a subset of infants to test the reproducibility of the method, assessed as the coefficient of variation (CV). The influence of measured macronutrient intakes on preterm BC was assessed by regression analysis. RESULTS Median (range) gestation and birth weight of 40 preterm infants were 27 (23-29) weeks and 1022 (480-1475) g, respectively. Accretion rates of adipose and muscle tissues were not uniform across the four sites. Relative to the foetus, preterm adipose tissue thickness was reduced at an equivalent (corrected) gestation, but towards term, a faster accretion rate of subcutaneous abdominal adipose and limb muscle tissue was evident. Timing of fortification (p=0.012), enteral carbohydrate intake (p=0.008) and the protein energy ratio of intakes (p=0.038) moderated the ratio of adipose to muscle tissue accretion over the four sites by -0.004, -0.048 and -0.042, respectively. CONCLUSIONS Ultrasound provides a non-invasive, portable method of assessing changes in subcutaneous adipose tissue and muscle accretion and appears sufficiently sensitive to detect influences of macronutrient intakes on accretion rates from birth. The method warrants further investigation as a bedside tool for measuring BC of preterm infants.
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Affiliation(s)
- Gemma McLeod
- School of Paediatrics and Child Health, Centre for Neonatal Research and Education, The University of Western Australia and King Edward Memorial Hospital, Australia.
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Williams KH, Shackel NA, Gorrell MD, McLennan SV, Twigg SM. Diabetes and nonalcoholic Fatty liver disease: a pathogenic duo. Endocr Rev 2013; 34:84-129. [PMID: 23238855 DOI: 10.1210/er.2012-1009] [Citation(s) in RCA: 171] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Recent data increasingly support a complex interplay between the metabolic condition diabetes mellitus and the pathologically defined nonalcoholic fatty liver disease (NAFLD). NAFLD predicts the development of type 2 diabetes and vice versa, and each condition may serve as a progression factor for the other. Although the association of diabetes and NAFLD is likely to be partly the result of a "common soil," it is also probable that diabetes interacts with NAFLD through specific pathogenic mechanisms. In particular, through interrelated metabolic pathways currently only partly understood, diabetes appears to accelerate the progression of NAFLD to nonalcoholic steatohepatitis, defined by the presence of necroinflammation, with varying degrees of liver fibrosis. In the research setting, obstacles that have made the identification of clinically significant NAFLD, and particularly nonalcoholic steatohepatitis, difficult are being addressed with the use of new imaging techniques combined with risk algorithms derived from peripheral blood profiling. These techniques are likely to be used in the diabetes population in the near future. This review examines the pathogenic links between NAFLD and diabetes by exploring the epidemiological evidence in humans and also through newer animal models. Emerging technology to help screen noninvasively for differing pathological forms of NAFLD and the potential role of preventive and therapeutic approaches for NAFLD in the setting of diabetes are also examined.
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Affiliation(s)
- K H Williams
- Sydney Medical School and the Bosch Institute, The University of Sydney, Sydney, New South Wales 2006, Australia
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Perelas A, Safarika V, Vlachos IS, Tzanetakou I, Korou LM, Konstantopoulos P, Doulamis I, Ioannidis I, Kornezos I, Gargas D, Klonaris C, Perrea DN, Chatziioannou A. Correlation between mesenteric fat thickness and serum apolipoproteins in patients with peripheral arterial occlusive disease. Lipids Health Dis 2012; 11:125. [PMID: 23025515 PMCID: PMC3477087 DOI: 10.1186/1476-511x-11-125] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2012] [Accepted: 09/14/2012] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Visceral fat possesses the most detrimental potential for cardiovascular morbidity through the release of adipokines, as well as metabolic and proinflammatory mediators, which adversely affect metabolic and vascular homeostasis. Among the different types of visceral adipose tissue, mesenteric fat is considered particularly detrimental, due to its close proximity to the portal circulation, affecting directly the liver, which is the main regulator of body metabolic homeostasis. Mesenteric fat can be reliably estimated using abdominal ultrasonography, the only available imaging method able to depict individual mesenteric leaves. Aim of the present study was to investigate the correlation of mesenteric fat thickness (MFT) with serum apolipoprotein levels in patients undergoing digital subtraction angiography in a single center. METHODS 35 male patients with peripheral arterial disease were examined. After careful examination of the periumbilical area, the mesenteric leaves were identified. The maximal distance between each pair of sequential leaves was measured, and the mean value of the three thickest leaves was determined as the mesenteric fat thickness. Six apolipoprotein fasting serum concentrations were measured using a Luminex proteomics platform (xMAP Multiplex immunoassay): apolipoprotein A-I (apoAI), apolipoprotein A-II (apoAII), apolipoprotein B (apoB), apolipoprotein C-II (apoCII), apolipoprotein C-III (apoCIII) and apolipoprotein E (apoE). RESULTS MFT correlated with apoAII and apoB serum concentrations. The correlations with apoAII and apoB remained significant following correction for BMI. No correlations were noted between MFT and serum apoAI, apoCII, apoCIII or apoE levels before or after adjustment for BMI. CONCLUSIONS Our study indicates that MFT is significantly correlated with the concentration of atherogenic low density lipoproteins particles, as well as with apoAII, a determinant of free fatty acids levels. No correlation was observed between mesenteric fat thickness and very low density lipoprotein or chylomicron particles concentration.
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Affiliation(s)
- Apostolos Perelas
- Laboratory for Experimental Surgery and Surgical Research "N,S, Christeas", University of Athens Medical School, 15b Agiou Thoma Street, Goudi, Athens 11527, Greece.
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Woods LCS, Woods BC, Leitschuh CM, Laurie SJ, Jacob HJ. Rat chromosome 8 confers protection against dyslipidemia caused by a high-fat/low-carbohydrate diet. JOURNAL OF NUTRIGENETICS AND NUTRIGENOMICS 2012; 5:81-93. [PMID: 22722880 DOI: 10.1159/000338848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2011] [Accepted: 04/16/2012] [Indexed: 11/19/2022]
Abstract
BACKGROUND/AIMS Recent studies have highlighted the importance of gene by diet interactions in contributing to risk factors of metabolic syndrome. We used a consomic rat panel, in which a chromosome of the Brown Norway (BN) strain is introgressed onto the background of the Dahl salt-sentitive (SS) strain, to test the hypothesis that these animals will be useful for dissecting gene by diet interactions involved in metabolic syndrome. METHODS We placed the parental SS and BN strains on a low-fat/high-carbohydrate (LF) or high-fat/low-carbohydrate (HF) diet for 22 weeks and measured several indices of metabolic syndrome. We then investigated the effect of diet in eight consomic rat strains. RESULTS We show that the HF diet resulted in significantly increased levels of fasting plasma cholesterol and triglycerides in the SS strain, with no effect in the BN. Both strains responded to the HF diet with slight increases in body weight. SSBN8 was the only consomic strain that resembled that of the BN, with low levels of fasting cholesterol and triglycerides even on the HF diet. CONCLUSIONS These results indicate that BN chromosome 8 harbors a gene or genes that confer protection against dyslipidemia caused by the HF diet.
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Affiliation(s)
- Leah C Solberg Woods
- Medical College of Wisconsin, Department of Pediatrics, Human and Molecular Genetics Center, Milwaukee, WI 53226
| | - Brett C Woods
- University of Wisconsin-Whitewater, Department of Biological Sciences, Whitewater, WI 53190
| | | | | | - Howard J Jacob
- Medical College of Wisconsin, Department of Pediatrics, Human and Molecular Genetics Center, Milwaukee, WI 53226
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Ma RCW, Liu KH, Lam PM, Cheung LP, Tam WH, Ko GTC, Chan MHM, Ho CS, Lam CWK, Chu WCW, Tong PCY, So WY, Chan JCN, Chow CC. Sonographic measurement of mesenteric fat predicts presence of fatty liver among subjects with polycystic ovary syndrome. J Clin Endocrinol Metab 2011; 96:799-807. [PMID: 21190980 DOI: 10.1210/jc.2010-1608] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Visceral fat is believed to be important in the pathogenesis of metabolic syndrome and fatty liver. In this study, we examined the relationship between mesenteric fat thickness and other sonographic indices of adiposity and the presence of fatty liver among subjects with polycystic ovary syndrome (PCOS). SUBJECTS AND METHODS A total of 117 Chinese subjects with PCOS were evaluated (mean age, 28.6 ± 6.5 yr; mean body mass index, 24.3 ± 5.3 kg/m(2)). Anthropometric measurements and metabolic risk profile, including a standard oral glucose tolerance test, were assessed in all subjects. All subjects underwent an ultrasound examination for measurement of thickness of mesenteric, preperitoneal, and sc fat as well as evaluation for fatty liver. RESULTS Forty-six (39.3%) of the subjects had fatty liver. PCOS subjects with fatty liver had higher body mass index, waist circumference, waist-hip ratio, and systolic blood pressure; a more unfavorable lipid profile with higher triglyceride; lower high-density lipoprotein cholesterol; higher fasting glucose and insulin; higher 2-h glucose during oral glucose tolerance test; lower SHBG; and higher alanine aminotransferase. Subjects with fatty liver had increased thickness of preperitoneal, mesenteric, and sc fat, as well as increased carotid intima-media thickness. Abdominal fat thickness showed moderate correlation to alanine aminotransferase as well as fasting insulin. On multivariate logistic regression, fasting insulin and mesenteric fat thickness were identified as independent predictors of fatty liver among subjects with PCOS. CONCLUSION Fatty liver is present in a significant proportion of Chinese patients with PCOS. Sonographic measurement of mesenteric fat is an independent determinant of fatty liver among subjects with PCOS and identifies subjects at increased cardiovascular risk.
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Affiliation(s)
- R C W Ma
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China.
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Li YY, Wang XM, Zhang YX, Ou GC. Ultrasonic elastography in clinical quantitative assessment of fatty liver. World J Gastroenterol 2010; 16:4733-7. [PMID: 20872976 PMCID: PMC2951526 DOI: 10.3748/wjg.v16.i37.4733] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
AIM: To investigate the clinical application of ultrasonic elastography in quantitative assessment of fatty liver grading.
METHODS: A total of 105 patients with fatty liver were divided into mild group (n = 46), moderate group (n = 39), and severe group (n = 20). Forty-five healthy individuals served as a normal control group. All patients who underwent routine ultrasound scan and further ultrasonic elastography were evaluated accordingly to the evaluation standards for ultrasonic elastography. The ratio of surface areas of blue region/total surface area in the desired region was measured.
RESULTS: Ultrasonic elastography technique, in comparison to traditional ultrasound, had a rather high consistence in grading of fatty liver [κ value = (95.3%-63.6%)/(1%-63.6%) = 0.87, P = 0.001]. The score of ultrasonic elastography increased with the severity of fatty liver with a sensitivity of 97.14% and a specificity of 91.11%. A significant difference was found in the ratio of surface areas of blue regions between different groups (P < 0.05).
CONCLUSION: Ultrasonic elastography can be used in quantitative assessment of the severity of fatty liver.
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Ruhl CE, Everhart JE. Trunk fat is associated with increased serum levels of alanine aminotransferase in the United States. Gastroenterology 2010; 138:1346-56, 1356.e1-3. [PMID: 20060831 PMCID: PMC2847039 DOI: 10.1053/j.gastro.2009.12.053] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2009] [Revised: 12/22/2009] [Accepted: 12/30/2009] [Indexed: 01/14/2023]
Abstract
BACKGROUND & AIMS Liver injury is associated with obesity and related measures, such as body mass index (BMI) and waist circumference. The relationship between liver injury and body composition has not been evaluated in a population-based study. METHODS Using data from a US population-based survey, we examined the contributions of body composition, measured by dual-energy x-ray absorptiometry (DXA), to increased serum alanine aminotransferase (ALT) activity among 11,821 adults without viral hepatitis. Trunk fat, extremity fat, trunk lean, and extremity lean mass were divided by height squared and used to categorize subjects into quintiles; logistic regression odds ratios (OR) were calculated for increased ALT. RESULTS Increased ALT was associated with higher measures of fat and lean mass (P < .001) after adjustment for alcohol consumption and other liver injury risk factors in separate models for each DXA measure. Trunk fat was associated with increased ALT (P < or = .001) in models also including any 1 of the other 3 measures. Extremity fat was independently inversely associated among women (P < .001). Trunk and extremity lean mass were not independently related to increased ALT. In models that contained all 4 DXA measures, the OR (95% confidence interval [CI]) for increased ALT for the highest, relative to lowest, quintile of trunk fat/height squared was 13.8 (95% CI: 5.4-35.3) for men and 7.8 (95% CI: 3.9-15.8) for women. When BMI, waist circumference, and trunk fat were considered together, only trunk fat remained independently associated with increased ALT. CONCLUSIONS Trunk fat is a major body composition determinant of increased ALT, supporting the hypothesis that liver injury can be induced by metabolically active intraabdominal fat.
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Affiliation(s)
- Constance E Ruhl
- Social & Scientific Systems, Inc., Silver Spring, Maryland 20910, USA.
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Sang L, Wang XM, Wang BY, Ou GC, Liu YJ. Value of fatty renal capsule thickness in diagnosis of fatty liver disease. Shijie Huaren Xiaohua Zazhi 2009; 17:1871-1874. [DOI: 10.11569/wcjd.v17.i18.1871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
AIM: To explore the clinic value of fatty renal capsule thickness in diagnosis of fatty liver disease.
METHODS: Thirty cases with mild and or with moderate to severe degree of fatty liver were collected, and their fatty renal capsule thickness was measured.
RESULTS: The fatty renal capsule thickness had significant differences between the normal group and mild, moderate to severe degree groups (P < 0.05), and had no differences between the mild and moderate to severe degree groups (P > 0.05). If 1.25, 0.65, 1.05, 0.55 cm were used as the critical value of the fatty renal capsule thickness for ultrasonic diagnosis of fatty liver at the long axis inferior pole, short axis surround of right kidney and left kidney, the sensitivities were 72.7%, 75.0%, 72.7% and 77.3% respectively, the specificities were 93.7%, 87.5%, 93.7% and 87.5% respectively.
CONCLUSION: The fatty renal capsule thickness can be used as the reference index for the ultrasonic diagnosis of fatty liver disease.
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Cutoff values for central obesity in Chinese based on mesenteric fat thickness. Clin Nutr 2009; 28:679-83. [PMID: 19560238 DOI: 10.1016/j.clnu.2009.05.017] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2009] [Revised: 03/05/2009] [Accepted: 05/28/2009] [Indexed: 11/22/2022]
Abstract
AIMS Sonographic measurement of mesenteric fat thickness (MFT) is a novel, accurate and simple tool to evaluate regional distribution of obesity. We used MFT to determine the optimal waist circumference (WC) values and associated risk factors for cardiovascular disease (CVD). METHODS 282 healthy Chinese (age 41.8+/-7.4 years, BMI 23.8+/-3.3 kg/m(2)) was assessed. High MFT was defined as mean+1 SD of the cohort. We compared the CVD risks including fatty liver amongst subjects with normal waist, central pre-obesity and central obesity. RESULTS WC of 84.6 cm in men and 75.7 cm in women were the optimal cutoff values to predict high MFT with ROC analysis. Using WC cutoff values > or =85-90 cm and > or =90 cm to define central pre-obesity and obesity in men (> or =75-80 cm and > or =80 cm in women), both central obesity and pre-obesity had higher MFT and CVD risk than those with normal waist. The frequencies of fatty liver in these 3 categories were 15.9%, 56.7% and 96.7% in men and 6.9%. 17.9% and 63.2% in women (p<0.001 for trend). CONCLUSION In addition to central obesity, "central pre-obesity" identifies subjects who harbor high CVD risks, fatty liver and excess visceral fat.
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Abstract
Fatty liver (steatosis) is highly prevalent in China and is more often linked to obesity than to alcoholism. Among more affluent regions of China, the community prevalence of non-alcoholic fatty liver disease (NAFLD) is approximately 15%. With the increasing pandemic of obesity, the prevalence of NAFLD has approximately doubled in the past decade. The risk factors resemble those in other ethnic populations, but it is important to note that ethnic-specific definitions of central obesity, obesity and metabolic syndrome are more useful in assessment of Chinese people. The full range of histological manifestations of NAFLD has been demonstrated in Chinese patients, but to date hepatic severity is generally mild. In contrast to chronic hepatitis C, steatosis is less common in patients with chronic hepatitis B; it is associated with metabolic, and not viral factors and does not appear to affect disease severity. Although long-term outcomes of NAFLD in Chinese populations remain unclear, it may be a predictor of metabolic disorders, diabetes and cardiovascular disease. Public health interventions are therefore indicated to halt or reverse the national trend of obesity in China so as to improve liver as well as metabolic health.
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Affiliation(s)
- Jian-Gao Fan
- Department of Gastroenterology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200092, China.
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Sierra-Johnson J, Undén AL, Linestrand M, Rosell M, Sjogren P, Kolak M, De Faire U, Fisher RM, Hellénius ML. Eating meals irregularly: a novel environmental risk factor for the metabolic syndrome. Obesity (Silver Spring) 2008; 16:1302-7. [PMID: 18388902 DOI: 10.1038/oby.2008.203] [Citation(s) in RCA: 103] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Skipping meals is a common practice in our current society; however, it is not clear whether eating meals regularly is associated with the metabolic syndrome. OBJECTIVE Our aim was to assess the association of eating meals regularly with parameters of the metabolic syndrome and insulin resistance in a representative population-based cohort of 60-year-old men and women. METHODS AND PROCEDURES A population-based cross-sectional study of 3,607 individuals (1,686 men and 1,921 women), aged 60 years, was conducted in Stockholm County, Sweden. Medical history, socioeconomic factors, and lifestyle data were collected by a questionnaire and a medical examination, which included laboratory tests. RESULTS Of the subjects who were regular eaters, 20% fulfilled the criteria for the metabolic syndrome vs. 27% of subjects who were irregular eaters (P < 0.0001). The adjusted odds ratio (OR) for having the greatest number of components of the metabolic syndrome in subjects who were regular eaters was 0.27 (95% confidence interval (CI), 0.13-0.54) using subjects who did not fulfill any criteria for the metabolic syndrome as a reference group. Eating meals regularly was also inversely related to insulin resistance (OR, 0.68 (95% CI, 0.48-0.97)) and to gamma-glutamyl transferase (OR, 0.52 (95% CI, 0.33-83)) after full adjustment. DISCUSSION Eating meals regularly is inversely associated to the metabolic syndrome, insulin resistance and (high) serum concentrations of gamma-glutamyl transferase. These findings suggest that eating meals irregularly may be part of several potential environmental risk factors that are associated with the metabolic syndrome and may have future implications in giving dietary advice to prevent and/or treat the syndrome.
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Affiliation(s)
- Justo Sierra-Johnson
- Department of Medicine, Atherosclerosis Research Unit, Karolinska Institutet, Stockholm, Sweden.
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Abstract
Nonalcoholic fatty liver disease (NAFLD) can affect both adults and children. With the current worldwide epidemic of pediatric obesity, pediatric NAFLD is increasingly being diagnosed. It is not exactly identical to NAFLD in adults, and these differences may be due in part to the occurrence of hepatic metabolic derangements typical of NAFLD during periods of active growth (infancy, mid-childhood and puberty). The natural history of pediatric NAFLD is not yet known; however, children with pediatric NAFLD can develop cirrhosis. Although details of disease mechanism in pediatric NAFLD remain unclear, hyperinsulinemia with insulin resistance appears to be critical. Determining the pathogenesis of pediatric NAFLD is likely to enhance our understanding of NAFLD in all age groups and may identify new treatment opportunities. Finding effective ways to prevent pediatric NAFLD is an important issue for children's health.
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Affiliation(s)
- Eve A Roberts
- Division of Gastroenterology, Hepatology and Nutrition, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
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