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Marquardt JP, Tonnesen PE, Mercaldo ND, Graur A, Allaire B, Bouxsein ML, Samelson EJ, Kiel DP, Fintelmann FJ. Subcutaneous and Visceral Adipose Tissue Reference Values From the Framingham Heart Study Thoracic and Abdominal CT. Invest Radiol 2025; 60:95-104. [PMID: 39047288 DOI: 10.1097/rli.0000000000001104] [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: 07/27/2024]
Abstract
BACKGROUND Computed tomography (CT) captures the quantity, density, and distribution of subcutaneous and visceral (SAT and VAT) adipose tissue compartments. These metrics may change with age and sex. OBJECTIVE The study aims to provide age-, sex-, and vertebral level-specific reference values for SAT on chest CT and for SAT and VAT on abdomen CT. MATERIALS AND METHODS This secondary analysis of an observational study describes SAT and VAT measurements in participants of the Framingham Heart Study without known cancer diagnosis who underwent at least 1 of 2 CT examinations between 2002 and 2011. We used a previously validated machine learning-assisted pipeline and rigorous quality assurance to segment SAT at the fifth, eighth, and tenth thoracic vertebra (T5, T8, T10) and SAT and VAT at the third lumbar vertebra (L3). For each metric, we measured cross-sectional area (cm 2 ) and mean attenuation (Hounsfield units [HU]) and calculated index (area/height 2 ) (cm 2 /m 2 ) and gauge (attenuation × index) (HU × cm 2 /m 2 ). We summarized body composition metrics by age and sex and modeled sex-, age-, and vertebral level-specific reference curves. RESULTS We included 14,898 single-level measurements from up to 4 vertebral levels of 3797 scans of 3730 Framingham Heart Study participants (1889 [51%] male with a mean [standard deviation] age of 55.6 ± 10.6 years; range, 38-81 years). The mean VAT index increased with age from 65 (cm 2 /m 2 ) in males and 29 (cm 2 /m 2 ) in females in the <45-year-old age group to 99 (cm 2 /m 2 ) in males and 60 (cm 2 /m 2 ) in females in >75-year-old age group. The increase of SAT with age was less pronounced, resulting in the VAT/SAT ratio increasing with age. A free R package and online interactive visual web interface allow access to reference values. CONCLUSIONS This study establishes age-, sex-, and vertebral level-specific reference values for CT-assessed SAT at vertebral levels T5, T8, T10, and L3 and VAT at vertebral level L3.
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Affiliation(s)
- J Peter Marquardt
- From the Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA (J.P.M., P.E.T., A.G., F.J.F.); Harvard Medical School, Boston, MA (J.P.M., N.D.M., E.J.S., D.P.K., F.J.F.); Klinik und Poliklinik für Neurologie, Kopf- und Neurozentrum, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Lübeck, Germany (P.E.T.); Department of Radiology, Massachusetts General Hospital, Boston, MA (N.D.M.); Center for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA (B.A., M.L.B.); Department of Orthopedic Surgery, Harvard Medical School, Boston, MA (M.L.B.); Endocrine Division, Massachusetts General Hospital, Boston, MA (M.L.B.); Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA (E.J.S., D.P.K.); and Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA (E.J.S., D.P.K.)
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Dong Q, Liu Z, Ma Y, Chen X, Wang X, Tang J, Ma K, Liang C, Wang M, Wu X, Liu Y, Zhou Y, Yang H, Gao M. Adipose tissue deficiency impairs transient lipid accumulation and delays liver regeneration following partial hepatectomy in male Seipin knockout mice. Clin Transl Med 2025; 15:e70238. [PMID: 39980067 PMCID: PMC11842221 DOI: 10.1002/ctm2.70238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2024] [Revised: 01/30/2025] [Accepted: 02/11/2025] [Indexed: 02/22/2025] Open
Abstract
BACKGROUND Liver diseases pose significant health challenges, underscoring the importance of understanding liver regeneration mechanisms. Systemic adipose tissue is thought to be a primary source of lipids and energy during this process; however, empirical data on the effects of adipose tissue deficiency are limited. This study investigates the role of adipose tissue in liver regeneration, focusing on transient regeneration-associated steatosis (TRAS) and hepatocyte proliferation using a Seipin knockout mouse model that mimics severe human lipodystrophy. Additionally, the study explores therapeutic strategies through adipose tissue transplantation. METHODS Male Seipin knockout (Seipin-/-) and wild-type (WT) mice underwent 2/3 partial hepatectomy (PHx). Liver and plasma samples were collected at various time points post-surgery. Histological assessments, lipid accumulation analyses and measurements of hepatocyte proliferation markers were conducted. Additionally, normal adipose tissue was transplanted into Seipin-/- mice to evaluate the restoration of liver regeneration. RESULTS Seipin-/- mice exhibited significantly reduced liver regeneration rates and impaired TRAS, as evidenced by histological and lipid measurements. While WT mice demonstrated extensive hepatocyte proliferation at 48 and 72 h post-PHx, characterised by increased mitotic cells, elevated proliferating cell nuclear antigen and Ki67 expression, Seipin-/- mice showed delayed hepatocyte proliferation. Notably, adipose tissue transplantation into Seipin-/- mice restored TRAS and improved liver regeneration and hepatocyte proliferation. Conversely, liver-specific overexpression of Seipin in Seipin-/- mice did not affect TRAS or liver regeneration, indicating that the observed effects are primarily due to adipose tissue deficiency rather than hepatic Seipin itself. CONCLUSIONS Systemic adipose tissue is essential for TRAS and effective liver regeneration following PHx. Its deficiency impairs these processes, while adipose tissue transplantation can restore normal liver function. These findings underscore the critical role of adipose tissue in liver recovery and suggest potential therapeutic strategies for liver diseases associated with lipodystrophies. KEY POINTS Seipin-/- mice, which lack adipose tissue, exhibit significantly impaired TRAS and delayed liver regeneration following partial hepatectomy. Transplantation of normal adipose tissue into Seipin-/- mice restores TRAS and enhances liver regeneration, highlighting the essential role of adipose tissue in these processes. Liver-specific overexpression of Seipin has no effect on TRAS and liver regeneration in Seipin-/- mice.
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Affiliation(s)
- Qianqian Dong
- Department of Biochemistry and Molecular BiologyThe Key Laboratory of Neural and Vascular BiologyMinistry of Education, The Key Laboratory of Vascular Biology of Hebei Province, Cardiovascular Medical Science Center, Hebei Medical UniversityShijiazhuangHebeiChina
- Department of Clinical LaboratoryThe Second Hospital of Hebei Medical UniversityShijiazhuangHebeiChina
| | - Ziwei Liu
- Department of Biochemistry and Molecular BiologyThe Key Laboratory of Neural and Vascular BiologyMinistry of Education, The Key Laboratory of Vascular Biology of Hebei Province, Cardiovascular Medical Science Center, Hebei Medical UniversityShijiazhuangHebeiChina
- Department of Clinical LaboratoryBethune International Peace HospitalShijiazhuangHebeiChina
| | - Yidan Ma
- Department of Biochemistry and Molecular BiologyThe Key Laboratory of Neural and Vascular BiologyMinistry of Education, The Key Laboratory of Vascular Biology of Hebei Province, Cardiovascular Medical Science Center, Hebei Medical UniversityShijiazhuangHebeiChina
| | - Xin Chen
- Department of Biochemistry and Molecular BiologyThe Key Laboratory of Neural and Vascular BiologyMinistry of Education, The Key Laboratory of Vascular Biology of Hebei Province, Cardiovascular Medical Science Center, Hebei Medical UniversityShijiazhuangHebeiChina
- Department of General SurgeryThe First Hospital of Hebei Medical UniversityShijiazhuangHebeiChina
| | - Xiaowei Wang
- Department of Biochemistry and Molecular BiologyThe Key Laboratory of Neural and Vascular BiologyMinistry of Education, The Key Laboratory of Vascular Biology of Hebei Province, Cardiovascular Medical Science Center, Hebei Medical UniversityShijiazhuangHebeiChina
| | - Jinye Tang
- Department of Biochemistry and Molecular BiologyThe Key Laboratory of Neural and Vascular BiologyMinistry of Education, The Key Laboratory of Vascular Biology of Hebei Province, Cardiovascular Medical Science Center, Hebei Medical UniversityShijiazhuangHebeiChina
| | - Kexin Ma
- Department of Biochemistry and Molecular BiologyThe Key Laboratory of Neural and Vascular BiologyMinistry of Education, The Key Laboratory of Vascular Biology of Hebei Province, Cardiovascular Medical Science Center, Hebei Medical UniversityShijiazhuangHebeiChina
| | - Chenxi Liang
- Department of Biochemistry and Molecular BiologyThe Key Laboratory of Neural and Vascular BiologyMinistry of Education, The Key Laboratory of Vascular Biology of Hebei Province, Cardiovascular Medical Science Center, Hebei Medical UniversityShijiazhuangHebeiChina
| | - Mengyu Wang
- Department of CardiologyFirst Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Xiaoqin Wu
- Department of Integrative Biology and PharmacologyUniversity of Texas Health Science Center at HoustonHoustonTexasUSA
| | - Yang Liu
- Department of Integrative Biology and PharmacologyUniversity of Texas Health Science Center at HoustonHoustonTexasUSA
| | - Yaru Zhou
- Department of EndocrinologyThe Third Hospital of Hebei Medical UniversityShijiazhuangHebeiChina
| | - Hongyuan Yang
- Department of Integrative Biology and PharmacologyUniversity of Texas Health Science Center at HoustonHoustonTexasUSA
| | - Mingming Gao
- Department of Biochemistry and Molecular BiologyThe Key Laboratory of Neural and Vascular BiologyMinistry of Education, The Key Laboratory of Vascular Biology of Hebei Province, Cardiovascular Medical Science Center, Hebei Medical UniversityShijiazhuangHebeiChina
- Department of Integrative Biology and PharmacologyUniversity of Texas Health Science Center at HoustonHoustonTexasUSA
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Iordan L, Lazar S, Timar R, Popescu S, Sorescu T, Albai O, Braha A, Timar B, Gaita L. The Impact of Sodium-Glucose Co-Transporter-2 Inhibition on Insulin Resistance and Inflammation in Patients with Type 2 Diabetes: A Retrospective Study. MEDICINA (KAUNAS, LITHUANIA) 2025; 61:209. [PMID: 40005325 PMCID: PMC11857714 DOI: 10.3390/medicina61020209] [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: 11/22/2024] [Revised: 12/23/2024] [Accepted: 01/22/2025] [Indexed: 02/27/2025]
Abstract
Background and Objectives: Insulin resistance (IR) is a key factor involved in the development of type 2 diabetes (T2D). Besides its role in the pathogenesis of T2D, insulin resistance is associated with impairment of glycemic control, reduced achievement of glycemic targets, and increases in cardiovascular risk and diabetes complications, being thus a negative prognosis factor. Sodium-glucose co-transporter-2 inhibitors (SGLT2i) are therapies for T2D which demonstrated, besides glycemic control, improvements of biomarkers traditionally associated with IR and inflammation. This study aimed to evaluate the impact of SGLT2i treatment on IR and inflammation biomarkers in patients with T2D. Materials and Methods: In a retrospective study, 246 patients with T2D treated with SGLT2i for a median of 5 years were evaluated regarding IR (estimated glucose disposal rate-eGDR, triglyceride/glucose index, triglyceride/HDLc index) and inflammation biomarkers (neutrophils to lymphocyte ratio, platelets to lymphocytes ratio and C-reactive protein) before and after intervention with SGLT2i. Results: After a median 5 years of SGLT2i treatment, patients with T2D had a higher eGDR (6.07 vs. 5.24 mg/kg/min; p < 0.001), lower triglyceride/HDLc ratio (3.34 vs. 3.52, p < 0.001) and lower triglyceride/glucose index (9.23 vs. 9.58; p < 0.001). The inflammation biomarkers decreased after SGLT2i therapy: C-reactive protein (3.07 mg/L vs. 4.37 mg/L), NLR (0.68 vs. 0.72; p < 0.001), and PLR (115 vs. 122; p < 0.001). Intervention with SGLT2i also improved the biomarkers associated with diabetes complications and cardiovascular risk: HbA1c (7.1% vs. 8.4%; p < 0.001), body mass index (30.0 vs. 31.5 kg/m2; p < 0.001) and urinary albumin to creatinine ratio (4.75 vs. 11.00 mg/g; p < 0.001). Conclusions: Treatment with SGLT2i in patients with T2D leads to decreases in IR and inflammation. These mechanisms may partially explain the additional cardiovascular and renal risk reductions associated with SGLT2i therapy, alongside the improvements in glycemic control, in patients with T2D.
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Affiliation(s)
- Liana Iordan
- Doctoral School of Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania;
- Second Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.T.); (S.P.); (T.S.); (O.A.); (A.B.); (B.T.); (L.G.)
- Department of Diabetes, “Pius Brînzeu” Emergency County Hospital, 300723 Timisoara, Romania
- Centre for Molecular Research in Nephrology and Vascular Disease, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Sandra Lazar
- Doctoral School of Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania;
- Centre for Molecular Research in Nephrology and Vascular Disease, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
- First Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
- Department of Hematology, Emergency Municipal Hospital, 300254 Timisoara, Romania
| | - Romulus Timar
- Second Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.T.); (S.P.); (T.S.); (O.A.); (A.B.); (B.T.); (L.G.)
- Department of Diabetes, “Pius Brînzeu” Emergency County Hospital, 300723 Timisoara, Romania
- Centre for Molecular Research in Nephrology and Vascular Disease, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Simona Popescu
- Second Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.T.); (S.P.); (T.S.); (O.A.); (A.B.); (B.T.); (L.G.)
- Department of Diabetes, “Pius Brînzeu” Emergency County Hospital, 300723 Timisoara, Romania
- Centre for Molecular Research in Nephrology and Vascular Disease, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Teodora Sorescu
- Second Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.T.); (S.P.); (T.S.); (O.A.); (A.B.); (B.T.); (L.G.)
- Department of Diabetes, “Pius Brînzeu” Emergency County Hospital, 300723 Timisoara, Romania
- Centre for Molecular Research in Nephrology and Vascular Disease, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Oana Albai
- Second Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.T.); (S.P.); (T.S.); (O.A.); (A.B.); (B.T.); (L.G.)
- Department of Diabetes, “Pius Brînzeu” Emergency County Hospital, 300723 Timisoara, Romania
- Centre for Molecular Research in Nephrology and Vascular Disease, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Adina Braha
- Second Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.T.); (S.P.); (T.S.); (O.A.); (A.B.); (B.T.); (L.G.)
- Department of Diabetes, “Pius Brînzeu” Emergency County Hospital, 300723 Timisoara, Romania
- Centre for Molecular Research in Nephrology and Vascular Disease, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Bogdan Timar
- Second Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.T.); (S.P.); (T.S.); (O.A.); (A.B.); (B.T.); (L.G.)
- Department of Diabetes, “Pius Brînzeu” Emergency County Hospital, 300723 Timisoara, Romania
- Centre for Molecular Research in Nephrology and Vascular Disease, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Laura Gaita
- Second Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.T.); (S.P.); (T.S.); (O.A.); (A.B.); (B.T.); (L.G.)
- Department of Diabetes, “Pius Brînzeu” Emergency County Hospital, 300723 Timisoara, Romania
- Centre for Molecular Research in Nephrology and Vascular Disease, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
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Kho PF, Stell L, Jimenez S, Zanetti D, Panyard DJ, Watson KL, Sarraju A, Chen ML, Lind L, Petrie JR, Chan KN, Fonda H, Kent K, Myers JN, Palaniappan L, Abbasi F, Assimes TL. Associations between accurate measures of adiposity and fitness, blood proteins, and insulin sensitivity among South Asians and Europeans. Front Endocrinol (Lausanne) 2025; 15:1492778. [PMID: 39902167 PMCID: PMC11788178 DOI: 10.3389/fendo.2024.1492778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2024] [Accepted: 12/20/2024] [Indexed: 02/05/2025] Open
Abstract
Objective South Asians (SAs) may possess a unique predisposition to insulin resistance (IR). We explored this possibility by investigating the relationship between 'gold standard' measures of adiposity, fitness, selected proteomic biomarkers, and insulin sensitivity among a cohort of SAs and Europeans (EURs). Methods A total of 46 SAs and 41 EURs completed 'conventional' (lifestyle questionnaires, standard physical exam) as well as 'gold standard' (dual energy X-ray absorptiometry scan, cardiopulmonary exercise test, and insulin suppression test) assessments of adiposity, fitness, and insulin sensitivity. In a subset of 28 SAs and 36 EURs, we also measured the blood-levels of eleven IR-related proteins. We conducted Spearman correlation to identify correlates of steady-state plasma glucose (SSPG) derived from the insulin suppression test, followed by multivariable linear regression analyses of SSPG, adjusting for age, sex and ancestral group. Results Sixteen of 30 measures significantly associated with SSPG, including one conventional and eight gold standard measures of adiposity, one conventional and one gold standard measure of fitness, and five proteins. Multivariable regressions revealed that gold standard measures and plasma proteins attenuated ancestral group differences in IR, suggesting their potential utility in assessing IR, especially among SAs. Conclusion Ancestral group differences in IR may be explained by accurate measures of adiposity and fitness, with specific proteins possibly serving as useful surrogates for these measures, particularly for SAs.
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Affiliation(s)
- Pik Fang Kho
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States
- Veterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United States
| | - Laurel Stell
- Department of Biomedical Data Science, Stanford University, Stanford, CA, United States
| | - Shirin Jimenez
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of California Davis Health, Davis, CA, United States
| | - Daniela Zanetti
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States
- Veterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United States
- Institute of Genetic and Biomedical Research, National Research Council, Cagliari, Sardinia, Italy
| | - Daniel J. Panyard
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, United States
| | - Kathleen L. Watson
- Department of Psychiatry, Stanford University School of Medicine, Stanford, CA, United States
| | - Ashish Sarraju
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, CA, United States
| | - Ming-Li Chen
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States
- Veterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United States
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - John R. Petrie
- School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Khin N. Chan
- Veterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United States
| | - Holly Fonda
- Veterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United States
| | - Kyla Kent
- Veterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United States
- Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, United States
| | - Jonathan N. Myers
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States
- Veterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United States
- Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, United States
| | - Latha Palaniappan
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States
- Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, United States
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, United States
| | - Fahim Abbasi
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Themistocles L. Assimes
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States
- Veterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United States
- Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, United States
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, United States
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Bui TH, Kaga H, Kakehi S, Someya Y, Tabata H, Yoshizawa Y, Naito H, Tajima T, Ito N, Kadowaki S, Nishida Y, Kawamori R, Watada H, Tamura Y. Factors Associated With Type 2 Diabetes in Older Japanese With Similar Genetic Risk Scores: The Bunkyo Health Study. J Endocr Soc 2025; 9:bvaf019. [PMID: 39902403 PMCID: PMC11788508 DOI: 10.1210/jendso/bvaf019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2024] [Indexed: 02/05/2025] Open
Abstract
Context Genome-wide association studies have identified numerous single-nucleotide variations (SNVs, formerly single-nucleotide polymorphisms) linked to type 2 diabetes (T2D), thus improving the accuracy of genetic risk scores (GRS) in predicting T2D. Objective This study aimed to investigate the association between the novel GRS and the prevalence of T2D and clarify the characteristics that differentiate individuals with and without T2D with similar genetic risk. Methods This cross-sectional study analyzed 1610 Japanese individuals aged 65 to 84 years. GRS were calculated using 110 SNVs associated with T2D in Japanese, and GRS classified individuals as having low, average, or high risk for T2D. The characteristics of participants with or without diabetes were compared by sex at each risk level. Results The prevalences of T2D were 7.8%, 14.7%, and 16.7% at low-, average-, and high-risk levels, respectively. The odds ratios at the high- and average-risk levels were significantly higher than those at the low-risk level, even after adjusting for confounding factors. The diabetes group had a higher visceral fat area (VFA) and Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) value, but a lower insulinogenic index, than the nondiabetes group across all risk levels. In the nondiabetes group, the II decreased significantly as GRS increased, but the HOMA-IR and Matsuda index values showed no association. In men with diabetes, VFA tended to decrease with higher GRS. Conclusion A higher GRS was significantly associated with increased T2D prevalence in older Japanese individuals. Our data demonstrated that the contribution of VFA to the development of diabetes varies with genetic risk.
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Affiliation(s)
- Thu Hien Bui
- Department of Metabolism and Endocrinology, Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
| | - Hideyoshi Kaga
- Department of Metabolism and Endocrinology, Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
| | - Saori Kakehi
- Sports Medicine and Sportology, Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
- Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
| | - Yuki Someya
- Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
| | - Hiroki Tabata
- Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
- Juntendo Advanced Research Institute for Health Science, Tokyo 113-8421, Japan
| | - Yasuyo Yoshizawa
- Juntendo Advanced Research Institute for Health Science, Tokyo 113-8421, Japan
- Faculty of International Liberal Arts, Juntendo University, Tokyo 113-8421, Japan
| | - Hitoshi Naito
- Department of Metabolism and Endocrinology, Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
| | - Tsubasa Tajima
- Department of Metabolism and Endocrinology, Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
| | - Naoaki Ito
- Department of Metabolism and Endocrinology, Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
| | - Satoshi Kadowaki
- Department of Metabolism and Endocrinology, Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
| | - Yuya Nishida
- Department of Metabolism and Endocrinology, Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
| | - Ryuzo Kawamori
- Department of Metabolism and Endocrinology, Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
- Sports Medicine and Sportology, Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
- Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
| | - Hirotaka Watada
- Department of Metabolism and Endocrinology, Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
- Sports Medicine and Sportology, Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
- Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
| | - Yoshifumi Tamura
- Department of Metabolism and Endocrinology, Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
- Sports Medicine and Sportology, Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
- Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
- Juntendo Advanced Research Institute for Health Science, Tokyo 113-8421, Japan
- Faculty of International Liberal Arts, Juntendo University, Tokyo 113-8421, Japan
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Vargas-Ramírez CU, Posadas-Posadas V, Ochoa-Précoma R, Porchia LM, Pérez-Fuentes R, Gonzalez-Mejia ME. Dapagliflozin treatment decreases visceral and subcutaneous adipose tissue: a systematic review and meta-analysis. Diabetol Int 2025; 16:65-77. [PMID: 39877433 PMCID: PMC11769893 DOI: 10.1007/s13340-024-00765-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Accepted: 09/24/2024] [Indexed: 01/31/2025]
Abstract
Aims Sodium-glucose co-transporter-2 inhibitors (SGLT2i) have been shown to reduce visceral (VAT) and subcutaneous (SAT) adipose tissue. Although many systematic reviews have examined SGLT2i's effect on VAT and SAT, a focus analysis of dapagliflozin, one of the more commonly prescribe SGLT2i, has yet to been done. This study aims to determine the effect of dapagliflozin on reducing VAT and SAT in patients with chronic disease. Methods SCOPUS, PubMed, EBSCO, and LILACS databases were searched until December 26, 2023. Heterogeneity was determined using Cochran's Q test and quantified using the inconsistency index. The random-effects model was used to calculate the pooled standardize difference in means (SDM) and 95% confidence intervals (95% CI). Duval and Tweedie trim and fill (DT), Egger's test, and Beggs-Muzamar's test were used to assess publication bias. PROSPERO: CRD42023426208. Results Twelve reports were included (treated = 299 and controls = 301). Overall, dapagliflozin treatment reduced VAT (SDM = - 0.406, 95% CI: - 0.526 to - 0.286, p < 0.001) and SAT (SDM = - 0.439, 95% CI: - 0.601 to - 0.278, p < 0.001). These results were stable as determined with a sensitivity analysis; however, there was potential publication bias. Two and three imputed studies were determined by the DT method for VAT and SAT, respectively. When stratified by pathology (obesity, T2D, and T2D/NAFLD), dapagliflozin treatment decreased VAT and SAT for all conditions. However, for specifically SAT, only when compared between T2D and T2D/NAFLD, T2D/NAFLD was associated with a twofold decrease (p = 0.003). Conclusion Treatment with dapagliflozin resulted in a significant reduction in VAT and SAT in patients with obesity, T2D, or T2D/NAFLD. Supplementary Information The online version contains supplementary material available at 10.1007/s13340-024-00765-y.
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Affiliation(s)
- Carlos U. Vargas-Ramírez
- Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, 13 Sur 2901 Colonia Volcanes, 72420 Puebla, Puebla México
| | - Víctor Posadas-Posadas
- Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, 13 Sur 2901 Colonia Volcanes, 72420 Puebla, Puebla México
| | - Renata Ochoa-Précoma
- Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, 13 Sur 2901 Colonia Volcanes, 72420 Puebla, Puebla México
| | - Leonardo M. Porchia
- Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, 13 Sur 2901 Colonia Volcanes, 72420 Puebla, Puebla México
| | - Ricardo Pérez-Fuentes
- Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, 13 Sur 2901 Colonia Volcanes, 72420 Puebla, Puebla México
| | - M. Elba Gonzalez-Mejia
- Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, 13 Sur 2901 Colonia Volcanes, 72420 Puebla, Puebla México
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Parua S, Das A, Hazra A, Chaudhuri P, Bhattacharya K, Dutta S, Sengupta P. Assessing body composition through anthropometry: Implications for diagnosing and managing polycystic ovary syndrome (PCOS). Clin Physiol Funct Imaging 2025; 45:e12905. [PMID: 39320052 DOI: 10.1111/cpf.12905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 08/28/2024] [Accepted: 09/10/2024] [Indexed: 09/26/2024]
Abstract
Polycystic ovary syndrome (PCOS) is a multifaceted endocrine disorder with profound implications for the reproductive and metabolic health of women. The utilization of anthropometric measures in the diagnosis and management of PCOS has gained increasing attention due to their practicality and predictive capacity for associated conditions such as obesity and insulin resistance. This review rigorously explores the application of various anthropometric indices, including body mass index, waist-to-hip ratio, and advanced metrics such as the body shape index and body roundness index, wrist circumference, neck circumference. These indices offer critical insights into body fat distribution and its association with the metabolic and hormonal perturbations characteristic of PCOS. The review underscores the necessity of addressing obesity, a prevalent comorbidity in PCOS, through lifestyle modifications and personalized therapeutic approaches. By incorporating anthropometric evaluations into routine clinical practice, healthcare professionals can enhance diagnostic precision, optimize treatment strategies, and ultimately improve patient outcomes. This integrative approach not only facilitates the management of the metabolic challenges inherent in PCOS but also contributes to the development of more individualized therapeutic interventions, thereby enhancing the overall quality of life for women affected by PCOS.
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Affiliation(s)
- Suparna Parua
- School of Paramedics and Allied Health Sciences, Centurion University of Technology and Management, Jatni, Odisha, India
| | - Arnab Das
- Department of Sports Science & Yoga, Ramakrishna Mission Vivekananda Educational & Research Institute, Howrah, West Bengal, India
| | - Anukona Hazra
- School of Paramedics and Allied Health Sciences, Centurion University of Technology and Management, Jatni, Odisha, India
| | - Prasenjit Chaudhuri
- Department of Physiology, Government General Degree College, Vidyasagar University, Mohanpur, West Bengal, India
- Department of Physiology, Hooghly Mohsin College, University of Burdwan, Hooghly, West Bengal, India
| | - Koushik Bhattacharya
- School of Paramedics and Allied Health Sciences, Centurion University of Technology and Management, Jatni, Odisha, India
| | - Sulagna Dutta
- Basic Medical Sciences Department, College of Medicine, Ajman University, Ajman, UAE
| | - Pallav Sengupta
- Department of Biomedical Sciences, College of Medicine, Gulf Medical University, Ajman, UAE
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Bailin SS, Gabriel CL, Gangula RD, Hannah L, Nair S, Carr JJ, Terry JG, Silver HJ, Simmons JD, Mashayekhi M, Kalams SA, Mallal S, Kropski JA, Wanjalla CN, Koethe JR. Single-Cell Analysis of Subcutaneous Fat Reveals Profibrotic Cells That Correlate With Visceral Adiposity in HIV. J Clin Endocrinol Metab 2024; 110:238-253. [PMID: 38820087 PMCID: PMC11651702 DOI: 10.1210/clinem/dgae369] [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: 10/15/2023] [Revised: 04/26/2024] [Accepted: 05/30/2024] [Indexed: 06/02/2024]
Abstract
CONTEXT Cardiometabolic diseases are common in persons with HIV (PWH) on antiretroviral therapy (ART), which has been attributed to preferential lipid storage in visceral adipose tissue (VAT) compared with subcutaneous adipose tissue (SAT). However, the relationship of SAT-specific cellular and molecular programs with VAT volume is poorly understood in PWH. OBJECTIVE We characterized SAT cell-type specific composition and transcriptional programs that are associated with greater VAT volume in PWH on contemporary ART. METHODS We enrolled PWH on long-term ART with a spectrum of metabolic health. Ninety-two participants underwent SAT biopsy for bulk RNA sequencing and 43 had single-cell RNA sequencing. Computed tomography quantified VAT volume and insulin resistance was calculated using the Homeostasis Model Assessment 2 Insulin Resistance (HOMA2-IR). RESULTS VAT volume was associated with HOMA2-IR (P < .001). Higher proportions of SAT intermediate macrophages (IMs), myofibroblasts, and MYOC+ fibroblasts were associated with greater VAT volume using partial Spearman's correlation adjusting for age, sex, and body mass index (r = 0.34-0.49, P < .05 for all). Whole SAT transcriptomics showed PWH with greater VAT volume have increased expression of extracellular matrix (ECM)- and inflammation-associated genes, and reduced expression of lipolysis- and fatty acid metabolism-associated genes. CONCLUSION In PWH, greater VAT volume is associated with a higher proportion of SAT IMs and fibroblasts, and a SAT ECM and inflammatory transcriptome, which is similar to findings in HIV-negative persons with obesity. These data identify SAT cell-type specific changes associated with VAT volume in PWH that could underlie the high rates of cardiometabolic diseases in PWH, though additional longitudinal studies are needed to define directionality and mechanisms.
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Affiliation(s)
- Samuel S Bailin
- Department of Medicine, Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Curtis L Gabriel
- Department of Medicine, Division of Gastroenterology, Hepatology, and Nutrition, Nashville, Vanderbilt University Medical Center, TN 37232, USA
| | - Rama D Gangula
- Tennessee Center for AIDS Research, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - LaToya Hannah
- Department of Medicine, Division of Diabetes, Endocrinology, and Metabolism, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Sangeeta Nair
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - John Jeffrey Carr
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - James G Terry
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Heidi J Silver
- Department of Medicine, Division of Gastroenterology, Hepatology, and Nutrition, Nashville, Vanderbilt University Medical Center, TN 37232, USA
- Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN 37232, USA
| | - Joshua D Simmons
- Tennessee Center for AIDS Research, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Mona Mashayekhi
- Department of Medicine, Division of Diabetes, Endocrinology, and Metabolism, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Spyros A Kalams
- Department of Medicine, Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Tennessee Center for AIDS Research, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Center for Translational Immunology and Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Simon Mallal
- Department of Medicine, Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Tennessee Center for AIDS Research, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Center for Translational Immunology and Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Insitute for Immunology and Infectious Diseases, Murdoch University, Perth, WA 6150, Australia
- Vanderbilt Technologies for Advanced Genomics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Jonathan A Kropski
- Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN 37232, USA
- Department of Medicine, Division of Allergy and Pulmonology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN 37232, USA
| | - Celestine N Wanjalla
- Department of Medicine, Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Center for Translational Immunology and Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - John R Koethe
- Department of Medicine, Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN 37232, USA
- Center for Translational Immunology and Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN 37232, USA
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Volpe S, Vozza A, Lisco G, Fanelli M, Racaniello D, Bergamasco A, Triggiani D, Pierangeli G, De Pergola G, Tortorella C, Moschetta A, Piazzolla G. Sodium-Glucose Cotransporter 2 Inhibitors Improve Body Composition by Increasing the Skeletal Muscle Mass/Fat Mass Ratio in Patients with Type 2 Diabetes: A 52-Week Prospective Real-Life Study. Nutrients 2024; 16:3841. [PMID: 39599627 PMCID: PMC11597755 DOI: 10.3390/nu16223841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2024] [Revised: 11/05/2024] [Accepted: 11/06/2024] [Indexed: 11/29/2024] Open
Abstract
BACKGROUND Sodium-glucose cotransporter 2 inhibitors (SGLT2is) induce body weight loss, but their effect on skeletal muscle mass (SMM) and strength needs to be better elucidated. OBJECTIVES This study aimed to evaluate the effects of SGLT2i on SMM in a real-life population setting of patients with type 2 diabetes (T2D). Secondary outcomes included changes in liver steatosis and in anthropometric and glucometabolic parameters. METHODS Seventy-one patients were treated with SGLT2is as an add-on to metformin for 52 consecutive weeks. Visits were scheduled at baseline (T0) and after 6 (T6) and 12 months of therapy (T12) and included the checking of laboratory tests, measurement of anthropometric parameters, bioimpedance analysis of body composition, and abdominal ultrasound (US). RESULTS Fat mass (FM) and visceral adipose tissue (VAT) progressively decreased compared to the baseline (FM: -2.9 ± 0.6 kg at T6; -2.8 ± 0.6 kg at T12; VAT: -0.3 ± 0.1 L at T6; -0.4 ± 0.1 L at T12; all p < 0.01). Changes in SMM were less pronounced (-0.4 ± 0.3 kg at T6, ns; -0.7 ± 0.4 kg at T12, p < 0.05), yielding a beneficial increase in the SMM/FM ratio (+0.3 ± 0.05 at T6 and +0.2 ± 0.05 at T12, all p < 0.01). No significant changes in sarcopenia, sarcopenic obesity, fat-free mass, muscle strength, and water compartments were observed at the end of the follow-up period. Anthropometric and glucometabolic parameters, insulin resistance, liver enzymes, and biometric indices and US grading of hepatic steatosis improved throughout this study. CONCLUSIONS In a real-life setting, SGLT2i therapy is associated with weight loss attributable to FM rather than SMM loss without any relevant deterioration in muscle strength. In addition, SGLT2is proved to have beneficial effects on steatotic liver disease.
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Affiliation(s)
- Sara Volpe
- Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy; (S.V.); (A.V.); (M.F.); (D.R.); (A.B.); (D.T.); (G.P.); (C.T.); (A.M.)
| | - Alfredo Vozza
- Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy; (S.V.); (A.V.); (M.F.); (D.R.); (A.B.); (D.T.); (G.P.); (C.T.); (A.M.)
| | - Giuseppe Lisco
- Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy; (S.V.); (A.V.); (M.F.); (D.R.); (A.B.); (D.T.); (G.P.); (C.T.); (A.M.)
| | - Margherita Fanelli
- Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy; (S.V.); (A.V.); (M.F.); (D.R.); (A.B.); (D.T.); (G.P.); (C.T.); (A.M.)
| | - Davide Racaniello
- Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy; (S.V.); (A.V.); (M.F.); (D.R.); (A.B.); (D.T.); (G.P.); (C.T.); (A.M.)
| | - Alessandro Bergamasco
- Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy; (S.V.); (A.V.); (M.F.); (D.R.); (A.B.); (D.T.); (G.P.); (C.T.); (A.M.)
| | - Domenico Triggiani
- Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy; (S.V.); (A.V.); (M.F.); (D.R.); (A.B.); (D.T.); (G.P.); (C.T.); (A.M.)
| | - Giulia Pierangeli
- Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy; (S.V.); (A.V.); (M.F.); (D.R.); (A.B.); (D.T.); (G.P.); (C.T.); (A.M.)
| | - Giovanni De Pergola
- Center of Nutrition for the Research and the Care of Obesity and Metabolic Diseases, National Institute of Gastroenterology IRCCS “Saverio de Bellis”, Castellana Grotte, 70013 Bari, Italy;
| | - Cosimo Tortorella
- Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy; (S.V.); (A.V.); (M.F.); (D.R.); (A.B.); (D.T.); (G.P.); (C.T.); (A.M.)
| | - Antonio Moschetta
- Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy; (S.V.); (A.V.); (M.F.); (D.R.); (A.B.); (D.T.); (G.P.); (C.T.); (A.M.)
| | - Giuseppina Piazzolla
- Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy; (S.V.); (A.V.); (M.F.); (D.R.); (A.B.); (D.T.); (G.P.); (C.T.); (A.M.)
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Yadav U, Kumar N, Sarvottam K. Obese have comparable ankle brachial pressure index but higher β-cell function and insulin resistance as compared to normal-weight type 2 diabetes mellitus patients. Acta Diabetol 2024:10.1007/s00592-024-02379-x. [PMID: 39368013 DOI: 10.1007/s00592-024-02379-x] [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: 02/09/2024] [Accepted: 09/22/2024] [Indexed: 10/07/2024]
Abstract
OBJECTIVES To compare ankle brachial pressure index (ABPI) in normal weight and obese/overweight type 2 diabetes mellitus patients (T2DM) to see the impact of obesity on the occurrence of peripheral artery disease (PAD) in T2DM patients. Secondly to investigate the relationship between ABPI, insulin resistance, and beta cell function and between adipocytokines and obesity parameters. METHODS A total of 120 BMI-categorized Normal weight (NW) T2DM (n = 53) patients and obese/overweight T2DM (n = 67) patients were recruited in this study. ABPI measurements were performed for the assessment of PAD. The anthropometry and body composition of the patients were measured. Plasma fasting insulin, adiponectin, and IL-6 levels were measured by ELISA kits. RESULTS ABPI scores were found to be comparable between both groups of patients (p = 0.787). A significant positive correlation was observed between ABPI and beta cell function. Insulin resistance was found to correlate positively while adiponectin negatively with obesity parameters. CONCLUSION The ABPI score was comparable between both groups of patients, suggesting that vascular complications may occur at the same rate in NW as well as in obese/overweight diabetic patients. The positive association of insulin resistance as well as the negative association of adiponectin with obesity parameters, are suggestive of the importance of body fat distribution in predicting insulin resistance and the inflammatory status of the cells.
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Affiliation(s)
- Umashree Yadav
- Department of Physiology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Nilesh Kumar
- Department of General Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Kumar Sarvottam
- Department of Physiology, All India Institute of Medical Sciences, Gorakhpur, Uttar Pradesh, India.
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Kho PF, Stell L, Jimenez S, Zanetti D, Panyard DJ, Watson KL, Sarraju A, Chen ML, Lind L, Petrie JR, Chan KN, Fonda H, Kent K, Myers JN, Palaniappan L, Abbasi F, Assimes TL. Associations between accurate measures of adiposity and fitness, blood proteins, and insulin sensitivity among South Asians and Europeans. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.09.06.24313199. [PMID: 39281745 PMCID: PMC11398600 DOI: 10.1101/2024.09.06.24313199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/18/2024]
Abstract
Objective South Asians (SAs) may possess a unique predisposition to insulin resistance (IR). We explored this possibility by investigating the relationship between 'gold standard' measures of adiposity, fitness, selected proteomic biomarkers, and insulin sensitivity among a cohort of SAs and Europeans (EURs). Methods A total of 46 SAs and 41 EURs completed 'conventional' (lifestyle questionnaires, standard physical exam) as well as 'gold standard' (dual energy X-ray absorptiometry scan, cardiopulmonary exercise test, and insulin suppression test) assessments of adiposity, fitness, and insulin sensitivity. In a subset of 28 SAs and 36 EURs, we also measured the blood-levels of eleven IR-related proteins. We conducted Spearman correlation to identify correlates of steady-state plasma glucose (SSPG) derived from the insulin suppression test, followed by multivariable linear regression analyses of SSPG, adjusting for age, sex and ancestral group. Results Sixteen of 30 measures significantly associated with SSPG, including one conventional and eight gold standard measures of adiposity, one conventional and one gold standard measure of fitness, and five proteins. Multivariable regressions revealed that gold standard measures and plasma proteins attenuated ancestral group differences in IR, suggesting their potential utility in assessing IR, especially among SAs. Conclusion Ancestral group differences in IR may be explained by accurate measures of adiposity and fitness, with specific proteins possibly serving as useful surrogates for these measures, particularly for SAs.
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Affiliation(s)
- Pik Fang Kho
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Healthcare System, Palo Alto, CA, USA
| | - Laurel Stell
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Shirin Jimenez
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of California Davis Health, Davis, CA, USA
| | - Daniela Zanetti
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Healthcare System, Palo Alto, CA, USA
- Institute of Genetic and Biomedical Research, National Research Council, Cagliari, Sardinia, Italy
| | - Daniel J Panyard
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Kathleen L Watson
- Department of Psychiatry, Stanford University School of Medicine, Stanford, CA, USA
| | - Ashish Sarraju
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, CA, USA
| | - Ming-Li Chen
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Healthcare System, Palo Alto, CA, USA
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - John R Petrie
- School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Khin N Chan
- VA Palo Alto Healthcare System, Palo Alto, CA, USA
| | - Holly Fonda
- VA Palo Alto Healthcare System, Palo Alto, CA, USA
| | - Kyla Kent
- VA Palo Alto Healthcare System, Palo Alto, CA, USA
- Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, USA
| | - Jonathan N Myers
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Healthcare System, Palo Alto, CA, USA
- Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Latha Palaniappan
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Fahim Abbasi
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Themistocles L. Assimes
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Healthcare System, Palo Alto, CA, USA
- Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
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Schipper MC, Blaauwendraad SM, Koletzko B, Oei EHG, Jaddoe VWV, Gaillard R. Associations of childhood BMI, general and visceral fat mass with metabolite profiles at school-age. Int J Obes (Lond) 2024; 48:1307-1317. [PMID: 38851839 DOI: 10.1038/s41366-024-01558-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 05/22/2024] [Accepted: 05/30/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND Childhood obesity increases metabolic disease risk. Underlying mechanisms remain unknown. We examined associations of body mass index (BMI), total body fat mass, and visceral fat mass with serum metabolites at school-age, and explored whether identified metabolites improved the identification of children at risk of a metabolically unhealthy phenotype. METHODS We performed a cross-sectional analysis among 497 children with a mean age of 9.8 (95% range 9.1, 10.6) years, participating in a population-based cohort study. We measured BMI, total body fat mass using DXA, and visceral fat mass using MRI. Serum concentrations of amino-acids, non-esterified-fatty-acids, phospholipids, and carnitines were determined using LC-MS/MS. Children were categorized as metabolically healthy or metabolically unhealthy, according to BMI, blood pressure, lipids, glucose, and insulin levels. RESULTS Higher BMI and total body fat mass were associated with altered concentrations of branched-chain amino-acids, essential amino-acids, and free carnitines. Higher BMI was also associated with higher concentrations of aromatic amino-acids and alkyl-lysophosphatidylcholines (FDR-corrected p-values < 0.05). The strongest associations were present for Lyso.PC.a.C14.0 and SM.a.C32.2 (FDR-corrected p-values < 0.01). Higher visceral fat mass was only associated with higher concentrations of 6 individual metabolites, particularly Lyso.PC.a.C14.0, PC.aa.C32.1, and SM.a.C32.2. We selected 15 metabolites that improved the prediction of a metabolically unhealthy phenotype, compared to BMI only (AUC: BMI: 0.59 [95% CI 0.47,0.71], BMI + Metabolites: 0.91 [95% CI 0.85,0.97]). CONCLUSIONS An adverse childhood body fat profile, characterized by higher BMI and total body fat mass, is associated with metabolic alterations, particularly in amino acids, phospholipids, and carnitines. Fewer associations were present for visceral fat mass. We identified a metabolite profile that improved the identification of impaired cardiometabolic health in children, compared to BMI only.
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Affiliation(s)
- Mireille C Schipper
- The Generation R Study Group Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Sophia M Blaauwendraad
- The Generation R Study Group Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Berthold Koletzko
- LMU - Ludwig Maximilians Universität Munich, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospitals, Munich, Germany
| | - Edwin H G Oei
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Romy Gaillard
- The Generation R Study Group Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
- Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
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Mashayekhi M, Sheng Q, Bailin SS, Massier L, Zhong J, Shi M, Wanjalla CN, Wang TJ, Ikizler TA, Niswender KD, Gabriel CL, Palacios J, Turgeon-Jones R, Reynolds CF, Luther JM, Brown NJ, Das S, Dahlman I, Mosley JD, Koethe JR, Rydén M, Bachmann KN, Shah RV. The subcutaneous adipose transcriptome identifies a molecular signature of insulin resistance shared with visceral adipose. Obesity (Silver Spring) 2024; 32:1526-1540. [PMID: 38967296 PMCID: PMC11269023 DOI: 10.1002/oby.24064] [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: 02/09/2024] [Revised: 04/05/2024] [Accepted: 04/23/2024] [Indexed: 07/06/2024]
Abstract
OBJECTIVE The objective of this study was to identify the transcriptional landscape of insulin resistance (IR) in subcutaneous adipose tissue (SAT) in humans across the spectrum of obesity. METHODS We used SAT RNA sequencing in 220 individuals with metabolic phenotyping. RESULTS We identified a 35-gene signature with high predictive accuracy for homeostatic model of IR that was expressed across a variety of non-immune cell populations. We observed primarily "protective" IR associations for adipocyte transcripts and "deleterious" associations for macrophage transcripts, as well as a high concordance between SAT and visceral adipose tissue (VAT). Multiple SAT genes exhibited dynamic expression 5 years after weight loss surgery and with insulin stimulation. Using available expression quantitative trait loci in SAT and/or VAT, we demonstrated similar genetic effect sizes of SAT and VAT on type 2 diabetes and BMI. CONCLUSIONS SAT is conventionally viewed as a metabolic buffer for lipid deposition during positive energy balance, whereas VAT is viewed as a dominant contributor to and prime mediator of IR and cardiometabolic disease risk. Our results implicate a dynamic transcriptional architecture of IR that resides in both immune and non-immune populations in SAT and is shared with VAT, nuancing the current VAT-centric concept of IR in humans.
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Affiliation(s)
- Mona Mashayekhi
- Vanderbilt University Medical Center, Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, Nashville, Tennessee, USA
| | - Quanhu Sheng
- Vanderbilt University Medical Center, Department of Biostatistics, Nashville, Tennessee, USA
| | - Samuel S. Bailin
- Vanderbilt University Medical Center, Department of Medicine, Division of Infectious Disease, Nashville, Tennessee, USA
| | - Lucas Massier
- Karolinska Institutet, Department of Medicine, Huddinge (H7), Stockholm, Sweden
| | - Jiawei Zhong
- Karolinska Institutet, Department of Medicine, Huddinge (H7), Stockholm, Sweden
| | - Mingjian Shi
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Celestine N. Wanjalla
- Vanderbilt University Medical Center, Department of Medicine, Division of Infectious Disease, Nashville, Tennessee, USA
| | - Thomas J. Wang
- UT Southwestern Medical Center, Department of Internal Medicine, Dallas, Texas, USA
| | - T. Alp Ikizler
- Vanderbilt University Medical Center, Department of Medicine, Division of Nephrology and Hypertension, Nashville, Tennessee, USA
- Veterans Health Administration, Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - Kevin D. Niswender
- Vanderbilt University Medical Center, Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, Nashville, Tennessee, USA
- Veterans Health Administration, Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - Curtis L. Gabriel
- Vanderbilt University Medical Center, Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, Nashville, Tennessee, USA
| | - Julia Palacios
- Vanderbilt University Medical Center, Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, Nashville, Tennessee, USA
| | - Rachel Turgeon-Jones
- Vanderbilt University Medical Center, Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, Nashville, Tennessee, USA
| | - Cassandra F. Reynolds
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Department of Medicine, Cardiology Division, Nashville, Tennessee, USA
| | - James M. Luther
- Vanderbilt University Medical Center, Department of Medicine, Division of Nephrology and Hypertension, Nashville, Tennessee, USA
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | - Saumya Das
- Cardiology Division, Massachusetts General Hospital, Boston, MA, USA
| | - Ingrid Dahlman
- Department of Clinical Science and Education, Karolinska Institutet, Stockholm, Sweden
| | - Jonathan D. Mosley
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - John R. Koethe
- Vanderbilt University Medical Center, Department of Medicine, Division of Infectious Disease, Nashville, Tennessee, USA
- Veterans Health Administration, Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - Mikael Rydén
- Karolinska Institutet, Department of Medicine, Huddinge (H7), Stockholm, Sweden
| | - Katherine N. Bachmann
- Vanderbilt University Medical Center, Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, Nashville, Tennessee, USA
- Veterans Health Administration, Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - Ravi V. Shah
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Department of Medicine, Cardiology Division, Nashville, Tennessee, USA
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Shang C, Yuan M, Wang Y, Wang Y, Bao W, Zeng S, Zhang D, Liu P, Sun L. Association Between Visceral Obesity and Glycemic Control in Patients with Type 2 Diabetes Mellitus: A Retrospective Study. Diabetes Metab Syndr Obes 2024; 17:2869-2880. [PMID: 39100969 PMCID: PMC11298209 DOI: 10.2147/dmso.s470836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 07/23/2024] [Indexed: 08/06/2024] Open
Abstract
Purpose To investigate the association between visceral obesity and glycemic control in patients with type 2 diabetes mellitus. Patients and Methods A retrospective analysis involved 714 patients diagnosed with type 2 diabetes mellitus from the National Metabolic Management Center from November 2021 to February 2024. Medical data included sociodemographic data, lifestyle behaviors, and anthropometric and biochemical measurements. Multivariate logistic regression analysis was used to analyze their associations. Results Among the patients, 251 (35.2%) achieved good glycemic control (HbA1c < 7.0%). On univariate analysis, higher diastolic blood pressure, longer duration of type 2 diabetes mellitus, tobacco smoking, alcohol drinking, insulin treatment, higher levels of fasting plasma glucose, homeostasis model assessment of insulin resistance, triglyceride, total cholesterol, and low-density lipoprotein cholesterol, visceral obesity (visceral fat area ≥ 100cm2) and diabetic peripheral neuropathy were all positively correlated with poor glycemic control; female, older age, higher levels of C peptide and serum uric acid were inversely associated with poor glycemic control (all P < 0.05). On multivariate logistic regression analysis, the results suggested that higher diastolic blood pressure [OR: 1.021, 95% CI (1.002, 1.040), P = 0.030], insulin treatment [currently used: OR = 2.156, 95% CI (1.249, 3.724), P = 0.006], higher level of fasting plasma glucose [OR: 1.819, 95% CI (1.598, 2.069), P < 0.001], and visceral obesity [OR: 1.876, 95% CI (1.158, 3.038), P = 0.011] were risk factors for poor glycemic control. Conclusion This study indicated that visceral obesity (visceral fat area ≥ 100cm2) is positively associated with poor glycemic control, and serves as an independent risk factor for poor glycemic control (HbA1c ≥ 7.0%) in patients with type 2 diabetes mellitus. Screening for visceral obesity should be emphasized, and targeted interventions should be taken to improve glycemic control in patients with type 2 diabetes mellitus.
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Affiliation(s)
- Chang Shang
- Department of Nephropathy and Endocrine, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Mengfei Yuan
- Department of Nephropathy and Endocrine, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Yue Wang
- Department of Nephropathy and Endocrine, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Yahui Wang
- Fangshan Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Wujisiguleng Bao
- Fangshan Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Shuanghui Zeng
- Fangshan Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Dandan Zhang
- Fangshan Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Ping Liu
- Fangshan Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
- Integrated Chinese and Western Medicine Metabolic Disease Research Center, Fangshan Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Luying Sun
- Fangshan Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
- Integrated Chinese and Western Medicine Metabolic Disease Research Center, Fangshan Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
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15
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Liu Y, Zhao D, Chai S, Zhang X. Association of visceral adipose tissue with albuminuria and interaction between visceral adiposity and diabetes on albuminuria. Acta Diabetol 2024; 61:909-916. [PMID: 38558152 PMCID: PMC11182824 DOI: 10.1007/s00592-024-02271-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 03/03/2024] [Indexed: 04/04/2024]
Abstract
AIMS To explore the correlation between visceral adipose tissue and albuminuria, and whether there is interaction between visceral adipose tissue and diabetes on albuminuria. METHODS The study subjects were adult subjects (age ≥ 18 years) from the National Health and Nutrition Examination Surveys (NHANES) database of the USA in 2017-2018. Visceral fat area (VFA) was measured by dual-energy X-ray absorptiometry (DXA). Subjects were divided into three groups according to VFA: low (VFA 0-60cm2), medium (VFA 60-120 cm2) and high (VFA ≥ 120 cm2). Albuminuria was defined as urinary albumin-to-creatinine ratio (UACR) ≥ 30 mg/g. The statistical analysis software used is STATA 17.0. RESULTS Data pertaining to 2965 participants (2706 without albuminuria) were included in the analysis. High VFA is an independent risk factor for albuminuria (OR 1.367, 95% CI 1.023-1.827). In the low-VFA group, there is no significant association between diabetes and albuminuria (OR 1.415, 95% CI 0.145-13.849). In the medium-VFA group, diabetes is an independent risk factor for albuminuria (OR 2.217, 95% CI 1.095-4.488). In the high-VFA group, diabetes is also an independent risk factor for albuminuria (OR 5.150, 95% CI 3.150-8.421). There is an additive interaction between high VFA (VFA ≥ 120 cm2) and diabetes on the effect of albuminuria (RERI 3.757, 95% CI 0.927-6.587, p = 0.009), while no multiplication interaction (OR 1.881, 95% CI 0.997-1.023, p = 0.141). CONCLUSIONS High VFA may represent an independent risk factor for albuminuria. The amount of visceral fat may affect the effect of diabetes on albuminuria. The higher the visceral fat, the stronger the correlation between diabetes and albuminuria should be present. We suppose an additive interaction between VFA and diabetes on the effect of albuminuria.
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Affiliation(s)
- Yufang Liu
- Department of Endocrinology, Peking University International Hospital, Beijing, 102206, People's Republic of China
| | - Dan Zhao
- Department of Endocrinology, Peking University International Hospital, Beijing, 102206, People's Republic of China
| | - Sanbao Chai
- Department of Endocrinology, Peking University International Hospital, Beijing, 102206, People's Republic of China
| | - Xiaomei Zhang
- Department of Endocrinology, Peking University International Hospital, Beijing, 102206, People's Republic of China.
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Habib SS, Al-khlaiwi T, Al-khliwi H, Habib SM, Habib SA, Habib SH, Khan A. Adiponectin and TNFα in relation to glucometabolic control in patients with type 2 diabetes mellitus. J Family Med Prim Care 2024; 13:2741-2745. [PMID: 39070992 PMCID: PMC11272019 DOI: 10.4103/jfmpc.jfmpc_1896_23] [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] [Received: 11/30/2023] [Revised: 02/13/2024] [Accepted: 02/23/2024] [Indexed: 07/30/2024] Open
Abstract
Background The correlation of adiponectin and serum tumor necrosis factor alpha (TNFα) with glucometabolic parameters in diabetes mellitus (DM) needs further studies. We aimed in this study to evaluate the relationship between adiponectin and TNFα with glucometabolic parameters in patients with type 2 DM (T2DM). Methods We conducted a cross-sectional study in the Department of Physiology, College of Medicine, King Saud University, Saudi Arabia. The sample size was 117 from the diabetes clinic of King Abdul-Aziz University hospital through the convenience sampling technique. Subjects were grouped into control (healthy) subjects (53) with no chronic diseases and the diabetic group (64) with confirmed T2DM. Socio-demographic data were collected along with the serum blood sample to analyze the variables. Results Adiponectin was significantly high in healthy subjects compared to the diabetic group (control: 14.4 ± 4.3, T2DM: 11.0 ± 4.1, P = 0.000), while TNFα was higher in the T2DM group (7.8 ± 2.7) than in the control group (6.6 ± 2.9, P = 0.024). TNFα was negatively correlated with adiponectin in the control group (-0.279) and in diabetic subjects (-0.311) and positively correlated with HbA1c in the diabetic group (0.319) and triglycerides (0.252). Adiponectin was positively correlated with HDL in the control group (0.252) and in diabetic subjects (0.326). There was an inverse correlation between TNFα and adiponectin. Conclusion Adiponectin is higher in healthy subjects than in diabetic patients, while TNFα is higher in diabetic patients. In addition, adiponectin is positively correlated with HDL in healthy as well as diabetic patients. TNFα is positively correlated with HbA1c and triglycerides.
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Affiliation(s)
- Syed Shahid Habib
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Thamir Al-khlaiwi
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Huthayfah Al-khliwi
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Syed Mohammad Habib
- College of Medicine, Sulaiman Al Rajhi University, Al Bukayriah, Saudi Arabia
| | - Syed Abubakar Habib
- College of Medicine, Sulaiman Al Rajhi University, Al Bukayriah, Saudi Arabia
| | - Syed Hamid Habib
- Department of Basic Sciences, Khyber Medical University, Peshawar, Pakistan
| | - Adeena Khan
- Department of Radiology, King Saud University, Riyadh, Saudi Arabia
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Iordan L, Gaita L, Timar R, Avram V, Sturza A, Timar B. The Renoprotective Mechanisms of Sodium-Glucose Cotransporter-2 Inhibitors (SGLT2i)-A Narrative Review. Int J Mol Sci 2024; 25:7057. [PMID: 39000165 PMCID: PMC11241663 DOI: 10.3390/ijms25137057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 06/23/2024] [Accepted: 06/25/2024] [Indexed: 07/16/2024] Open
Abstract
Chronic kidney disease (CKD) is a noncommunicable condition that has become a major healthcare burden across the globe, often underdiagnosed and associated with low awareness. The main cause that leads to the development of renal impairment is diabetes mellitus and, in contrast to other chronic complications such as retinopathy or neuropathy, it has been suggested that intensive glycemic control is not sufficient in preventing the development of diabetic kidney disease. Nevertheless, a novel class of antidiabetic agents, the sodium-glucose cotransporter-2 inhibitors (SGLT2i), have shown multiple renoprotective properties that range from metabolic and hemodynamic to direct renal effects, with a major impact on reducing the risk of occurrence and progression of CKD. Thus, this review aims to summarize current knowledge regarding the renoprotective mechanisms of SGLT2i and to offer a new perspective on this innovative class of antihyperglycemic drugs with proven pleiotropic beneficial effects that, after decades of no significant progress in the prevention and in delaying the decline of renal function, start a new era in the management of patients with CKD.
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Affiliation(s)
- Liana Iordan
- “Pius Brinzeu” Emergency County Hospital, 300723 Timisoara, Romania; (L.I.); (R.T.); (V.A.); (A.S.); (B.T.)
- Second Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Laura Gaita
- “Pius Brinzeu” Emergency County Hospital, 300723 Timisoara, Romania; (L.I.); (R.T.); (V.A.); (A.S.); (B.T.)
- Second Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Romulus Timar
- “Pius Brinzeu” Emergency County Hospital, 300723 Timisoara, Romania; (L.I.); (R.T.); (V.A.); (A.S.); (B.T.)
- Second Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Vlad Avram
- “Pius Brinzeu” Emergency County Hospital, 300723 Timisoara, Romania; (L.I.); (R.T.); (V.A.); (A.S.); (B.T.)
- Second Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Adrian Sturza
- “Pius Brinzeu” Emergency County Hospital, 300723 Timisoara, Romania; (L.I.); (R.T.); (V.A.); (A.S.); (B.T.)
- Department of Functional Sciences, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Bogdan Timar
- “Pius Brinzeu” Emergency County Hospital, 300723 Timisoara, Romania; (L.I.); (R.T.); (V.A.); (A.S.); (B.T.)
- Second Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
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18
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Das S, Mukhuty A, Mullen GP, Rudolph MC. Adipocyte Mitochondria: Deciphering Energetic Functions across Fat Depots in Obesity and Type 2 Diabetes. Int J Mol Sci 2024; 25:6681. [PMID: 38928386 PMCID: PMC11203708 DOI: 10.3390/ijms25126681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 06/13/2024] [Accepted: 06/15/2024] [Indexed: 06/28/2024] Open
Abstract
Adipose tissue, a central player in energy balance, exhibits significant metabolic flexibility that is often compromised in obesity and type 2 diabetes (T2D). Mitochondrial dysfunction within adipocytes leads to inefficient lipid handling and increased oxidative stress, which together promote systemic metabolic disruptions central to obesity and its complications. This review explores the pivotal role that mitochondria play in altering the metabolic functions of the primary adipocyte types, white, brown, and beige, within the context of obesity and T2D. Specifically, in white adipocytes, these dysfunctions contribute to impaired lipid processing and an increased burden of oxidative stress, worsening metabolic disturbances. Conversely, compromised mitochondrial function undermines their thermogenic capabilities, reducing the capacity for optimal energy expenditure in brown adipocytes. Beige adipocytes uniquely combine the functional properties of white and brown adipocytes, maintaining morphological similarities to white adipocytes while possessing the capability to transform into mitochondria-rich, energy-burning cells under appropriate stimuli. Each type of adipocyte displays unique metabolic characteristics, governed by the mitochondrial dynamics specific to each cell type. These distinct mitochondrial metabolic phenotypes are regulated by specialized networks comprising transcription factors, co-activators, and enzymes, which together ensure the precise control of cellular energy processes. Strong evidence has shown impaired adipocyte mitochondrial metabolism and faulty upstream regulators in a causal relationship with obesity-induced T2D. Targeted interventions aimed at improving mitochondrial function in adipocytes offer a promising therapeutic avenue for enhancing systemic macronutrient oxidation, thereby potentially mitigating obesity. Advances in understanding mitochondrial function within adipocytes underscore a pivotal shift in approach to combating obesity and associated comorbidities. Reigniting the burning of calories in adipose tissues, and other important metabolic organs such as the muscle and liver, is crucial given the extensive role of adipose tissue in energy storage and release.
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Affiliation(s)
- Snehasis Das
- Harold Hamm Diabetes Center, Department of Biochemistry and Physiology, The University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Alpana Mukhuty
- Department of Zoology, Rampurhat College, Rampurhat 731224, India
| | - Gregory P. Mullen
- Harold Hamm Diabetes Center, Department of Biochemistry and Physiology, The University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Michael C. Rudolph
- Harold Hamm Diabetes Center, Department of Biochemistry and Physiology, The University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
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Cheng H, Jia Z, Li YT, Yu X, Wang JJ, Xie YJ, Hernandez J, Wang HHX. Metabolic Score for Insulin Resistance and New-Onset Type 2 Diabetes in a Middle-Aged and Older Adult Population: Nationwide Prospective Cohort Study and Implications for Primary Care. JMIR Public Health Surveill 2024; 10:e49617. [PMID: 38569189 PMCID: PMC11184265 DOI: 10.2196/49617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 02/29/2024] [Accepted: 03/29/2024] [Indexed: 04/05/2024] Open
Abstract
BACKGROUND The metabolic score for insulin resistance (METS-IR) has emerged as a noninsulin-based index for the approximation of insulin resistance (IR), yet longitudinal evidence supporting the utility of METS-IR in the primary prevention of type 2 diabetes mellitus (T2DM) remains limited. OBJECTIVE We aimed to investigate the longitudinal association between METS-IR, which combines fasting plasma glucose (FPG), lipid profiles, and anthropometrics that can be routinely obtained in resource-limited primary care settings, and the incidence of new-onset T2DM. METHODS We conducted a closed-cohort analysis of a nationwide, prospective cohort of 7583 Chinese middle-aged and older adults who were free of T2DM at baseline, sampled from 28 out of 31 provinces in China. We examined the characteristics of participants stratified by elevated blood pressure (BP) at baseline and new-onset T2DM at follow-up. We performed Cox proportional hazard regression analysis to explore associations of baseline METS-IR with incident T2DM in participants overall and in participants stratified by baseline BP. We also applied net reclassification improvement and integrated discrimination improvement to examine the incremental value of METS-IR. RESULTS During a mean follow-up period of 6.3 years, T2DM occurred in 527 participants, among which two-thirds (332/527, 62.9%; 95% CI 58.7%-67.1%) had baseline FPG<110 mg/dL. A SD unit increase in baseline METS-IR was associated with the first incidence of T2DM (adjusted hazard ratio [aHR] 1.33, 95% CI 1.22-1.45; P<.001) in all participants. We obtained similar results in participants with normal baseline BP (aHR 1.41, 95% CI 1.22-1.62; P<.001) and elevated baseline BP (aHR 1.29, 95% CI 1.16-1.44; P<.001). The predictive capability for incident T2DM was improved by adding METS-IR to FPG. In study participants with new-onset T2DM whose baseline FPG was <126 mg/dL and <110 mg/dL, 62.9% (332/527; 95% CI 60%-65.9%) and 58.1% (193/332; 95% CI 54.3%-61.9%) of participants had baseline METS-IR above the cutoff values, respectively. CONCLUSIONS METS-IR was significantly associated with new-onset T2DM, regardless of baseline BP level. Regular monitoring of METS-IR on top of routine blood glucose in clinical practice may add to the ability to enhance the early identification of primary care populations at risk for T2DM.
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Affiliation(s)
- Hui Cheng
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Zhihui Jia
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Yu Ting Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
| | - Xiao Yu
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Jia Ji Wang
- School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Yao Jie Xie
- School of Nursing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, China (Hong Kong)
| | - Jose Hernandez
- Faculty of Medicine and Health, EDU, Digital Education Holdings Ltd, Kalkara, Malta
- Green Templeton College, University of Oxford, Oxford, United Kingdom
| | - Harry H X Wang
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
- Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, China (Hong Kong)
- Usher Institute, Deanery of Molecular, Genetic & Population Health Sciences, The University of Edinburgh, Edinburgh, United Kingdom
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20
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Li M, Yang X, Li R, Wu B, Hao J, Qi Y, Bai T, Yang L, Zhang Y, Liu Y. Visceral Fat Area and Subcutaneous Fat Area Increase in Hyperthyroidism Patients After Treatment-A Single-Group Repeated-Measures Trial. Diabetes Metab Syndr Obes 2024; 17:2165-2176. [PMID: 38827164 PMCID: PMC11141577 DOI: 10.2147/dmso.s458486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 05/20/2024] [Indexed: 06/04/2024] Open
Abstract
Purpose There is evidence that long-term vascular risk remains increased in patients with hyperthyroidism even after normalization of thyroid function, and the mechanisms that regulate this risk are unclear. The aim of this study was to assess how visceral fat area and subcutaneous fat area change after hyperthyroidism treatment, and to further explore the relationship between thyroid hormones, abdominal fat area (visceral fat area and subcutaneous fat area), and lipids. Patients and Methods 50 patients with newly diagnosed Graves' disease were selected. Anthropometric parameters (weight, height, body mass index, waist circumference, neck circumference), laboratory parameters (thyroid hormones, lipid metabolism indices), abdominal fat area (visceral fat area and subcutaneous fat area), and drug dose were collected. Measurements were made at baseline, 6 and 12 months after treatment. We used linear mixed-effects models for analysis. Results The results showed that the following indexes changed significantly at different time points: visceral fat area, subcutaneous fat area, free triiodothyronine, free thyroxine, thyroid stimulating hormone, total cholesterol, high-density lipoprotein, low-density lipoprotein, body weight, neck circumference, body mass index, waist circumference, and drug dose (All P<0.001). We found that free triiodothyronine and free thyroxine were significantly negatively associated with abdominal fat area (P<0.01). There was no significant correlation between drug dose and abdominal fat area (P>0.05). Total cholesterol and low-density lipoprotein were significantly positively associated with abdominal fat area (P<0.01). However, high-density lipoprotein (P=0.06) was not correlated with abdominal fat area. Moreover, the results showed a significant negative correlation between thyroid hormones and lipids (P<0.001). Conclusion After anti-thyroid medicine treatment, patients had elevated visceral fat area and subcutaneous fat area and altered lipid profiles. These changes may be one of the reasons why metabolic and cardiovascular diseases remain increased after thyroid function is restored.
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Affiliation(s)
- Mengnan Li
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China
- First Clinical Medical College, Shanxi Medical University, Taiyuan, People’s Republic of China
| | - Xifeng Yang
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China
- First Clinical Medical College, Shanxi Medical University, Taiyuan, People’s Republic of China
| | - Ru Li
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China
- First Clinical Medical College, Shanxi Medical University, Taiyuan, People’s Republic of China
| | - Baofeng Wu
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China
- First Clinical Medical College, Shanxi Medical University, Taiyuan, People’s Republic of China
| | - Jinxuan Hao
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China
- First Clinical Medical College, Shanxi Medical University, Taiyuan, People’s Republic of China
| | - Yijie Qi
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China
- First Clinical Medical College, Shanxi Medical University, Taiyuan, People’s Republic of China
| | - Tao Bai
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China
| | - Luyang Yang
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China
| | - Yi Zhang
- Department of Pharmacology, Shanxi Medical University, Taiyuan, People’s Republic of China
| | - Yunfeng Liu
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China
- Clinical Research Center of Endocrine and Metabolic Diseases in Shanxi Medical University, Taiyuan, Shanxi, 030001, People’s Republic of China
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21
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U-Din M, Ahmed BA, Syed SA, Ong FJ, Oreskovich SM, Gunn E, Surette MG, Punthakee Z, Steinberg GR, Morrison KM. Characteristics of Abdominal Visceral Adipose Tissue, Metabolic Health and the Gut Microbiome in Adults. J Clin Endocrinol Metab 2024; 109:680-690. [PMID: 37837606 DOI: 10.1210/clinem/dgad604] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 08/30/2023] [Accepted: 10/12/2023] [Indexed: 10/16/2023]
Abstract
CONTEXT Compared with the relatively benign effects of increased subcutaneous adipose tissue (SAT), increased visceral adipose tissue (VAT) volume is a causal risk factor for hypertension, hyperlipidemia, type 2 diabetes, and cardiovascular disease. In rodents, increased VAT volume and triglyceride density and ectopic lipid accumulation in kidneys and liver have been induced by alterations in the gut microbiome. However, few studies have characterized these relationships in humans. OBJECTIVE To evaluate the tissue triglyceride content of VAT and SAT, liver, kidneys, and pancreas in male and female adults and assess associations with markers of glucose tolerance, serum insulin, and lipids and characteristics of the gut microbiome. METHODS Cross-sectional observational study of healthy human adults (n = 60) at a clinical research center. Body mass index (BMI), body composition, and oral glucose tolerance were assessed. Microbiome analysis was conducted on stool samples using 16S rRNA v3 amplicon sequencing. The triglyceride content of VAT, SAT, liver, kidney and pancreas were determined by assessing proton density fat fraction (PDFF) with magnetic resonance imaging (MRI). RESULTS Higher VAT PDFF and the ratio of VAT to SAT PDFF were related to higher BMI, HbA1c, HOMA-IR, non-high-density lipoprotein cholesterol, plasma triglycerides, low-density lipoprotein (LDL) cholesterol, and lower high-density lipoprotein (HDL) cholesterol. A higher VAT PDFF and VAT to SAT PDFF ratio were associated with lower alpha diversity and altered beta diversity of the gut microbiome. Differences in VAT were associated with higher relative abundance of the phylum Firmicutes, lower relative abundance of the phylum Bacteroidetes, and enrichment of the bacterial genera Dorea, Streptococcus, and Solobacterium. CONCLUSION VAT PDFF measured with MRI is related to impaired glucose homeostasis, dyslipidemia, and differences in the gut microbiome, independently of the total body fat percentage.
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Affiliation(s)
- Mueez U-Din
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON L8S 4L8, Canada
- Turku PET Centre, Turku University Hospital, Turku 20520, Finland
| | - Basma A Ahmed
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Biochemistry & Biomedical Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Saad A Syed
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Biochemistry & Biomedical Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada
- Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Frank J Ong
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Stephan M Oreskovich
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Elizabeth Gunn
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Michael G Surette
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Biochemistry & Biomedical Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada
- Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Zubin Punthakee
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Gregory R Steinberg
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Biochemistry & Biomedical Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Katherine M Morrison
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Paediatrics, McMaster University, Hamilton, ON L8S 4L8, Canada
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22
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Kostopoulou E, Kalavrizioti D, Davoulou P, Papachristou E, Sinopidis X, Fouzas S, Dassios T, Gkentzi D, Kyriakou SI, Karatza A, Dimitriou G, Goumenos D, Spiliotis BE, Plotas P, Papasotiriou M. Monocyte Chemoattractant Protein-1 (MCP-1), Activin-A and Clusterin in Children and Adolescents with Obesity or Type-1 Diabetes Mellitus. Diagnostics (Basel) 2024; 14:450. [PMID: 38396489 PMCID: PMC10887959 DOI: 10.3390/diagnostics14040450] [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: 12/09/2023] [Revised: 02/04/2024] [Accepted: 02/17/2024] [Indexed: 02/25/2024] Open
Abstract
Inflammation plays a crucial role in diabetes and obesity through macrophage activation. Macrophage chemoattractant protein-1 (MCP-1), activin-A, and clusterin are chemokines with known roles in diabetes and obesity. The aim of this study is to investigate their possible diagnostic and/or early prognostic values in children and adolescents with obesity and type-1 diabetes mellitus (T1DM). METHODS We obtained serum samples from children and adolescents with a history of T1DM or obesity, in order to measure and compare MCP-1, activin-A, and clusterin concentrations. RESULTS Forty-three subjects were included in each of the three groups (controls, T1DM, and obesity). MCP-1 values were positively correlated to BMI z-score. Activin-A was increased in children with obesity compared to the control group. A trend for higher values was detected in children with T1DM. MCP-1 and activin-A levels were positively correlated. Clusterin levels showed a trend towards lower values in children with T1DM or obesity compared to the control group and were negatively correlated to renal function. CONCLUSIONS The inflammation markers MCP-1, activin-A, and clusterin are not altered in children with T1DM. Conversely, obesity in children is positively correlated to serum MCP-1 values and characterized by higher activin-A levels, which may reflect an already established systematic inflammation with obesity since childhood.
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Affiliation(s)
- Eirini Kostopoulou
- Division of Pediatric Endocrinology, Department of Pediatrics, University Hospital of Patras, School of Medicine, University of Patras, 26504 Patras, Greece; (E.K.); (B.E.S.)
| | - Dimitra Kalavrizioti
- Department of Nephrology and Kidney Transplantation, University Hospital of Patras, School of Medicine, University of Patras, 26504 Patras, Greece; (D.K.); (P.D.); (E.P.); (D.G.); (M.P.)
| | - Panagiota Davoulou
- Department of Nephrology and Kidney Transplantation, University Hospital of Patras, School of Medicine, University of Patras, 26504 Patras, Greece; (D.K.); (P.D.); (E.P.); (D.G.); (M.P.)
| | - Evangelos Papachristou
- Department of Nephrology and Kidney Transplantation, University Hospital of Patras, School of Medicine, University of Patras, 26504 Patras, Greece; (D.K.); (P.D.); (E.P.); (D.G.); (M.P.)
| | - Xenophon Sinopidis
- Department of Pediatric Surgery, University Hospital of Patras, School of Medicine, University of Patras, 26504 Patras, Greece;
| | - Sotirios Fouzas
- Department of Pediatrics, University Hospital of Patras, School of Medicine, University of Patras, 26504 Patras, Greece; (S.F.); (T.D.); (D.G.); (A.K.); (G.D.)
| | - Theodore Dassios
- Department of Pediatrics, University Hospital of Patras, School of Medicine, University of Patras, 26504 Patras, Greece; (S.F.); (T.D.); (D.G.); (A.K.); (G.D.)
| | - Despoina Gkentzi
- Department of Pediatrics, University Hospital of Patras, School of Medicine, University of Patras, 26504 Patras, Greece; (S.F.); (T.D.); (D.G.); (A.K.); (G.D.)
| | - Stavroula Ioanna Kyriakou
- Department of Pediatric Surgery, University Hospital of Patras, School of Medicine, University of Patras, 26504 Patras, Greece;
| | - Ageliki Karatza
- Department of Pediatrics, University Hospital of Patras, School of Medicine, University of Patras, 26504 Patras, Greece; (S.F.); (T.D.); (D.G.); (A.K.); (G.D.)
| | - Gabriel Dimitriou
- Department of Pediatrics, University Hospital of Patras, School of Medicine, University of Patras, 26504 Patras, Greece; (S.F.); (T.D.); (D.G.); (A.K.); (G.D.)
| | - Dimitrios Goumenos
- Department of Nephrology and Kidney Transplantation, University Hospital of Patras, School of Medicine, University of Patras, 26504 Patras, Greece; (D.K.); (P.D.); (E.P.); (D.G.); (M.P.)
| | - Bessie E. Spiliotis
- Division of Pediatric Endocrinology, Department of Pediatrics, University Hospital of Patras, School of Medicine, University of Patras, 26504 Patras, Greece; (E.K.); (B.E.S.)
| | - Panagiotis Plotas
- Department of Speech and Language Therapy, School of Health Rehabilitation Sciences, University of Patras, 26504 Patras, Greece;
| | - Marios Papasotiriou
- Department of Nephrology and Kidney Transplantation, University Hospital of Patras, School of Medicine, University of Patras, 26504 Patras, Greece; (D.K.); (P.D.); (E.P.); (D.G.); (M.P.)
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23
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Dirajlal-Fargo S, Jacobson DL, Yu W, Mirza A, Geffner ME, Mccomsey GA, Jao J. Longitudinal changes in body fat and metabolic complications in young people with perinatally acquired HIV. HIV Med 2024; 25:233-244. [PMID: 37845017 PMCID: PMC10872855 DOI: 10.1111/hiv.13566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 09/26/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND The role of body fat on metabolic complications remains poorly understood in young people living with perinatally acquired HIV (YPHIV). OBJECTIVE Our objective was to assess the association of changes in adiposity over 2 years with metabolic outcomes in YPHIV. METHODS The PHACS Adolescent Master Protocol (AMP) study enrolled YPHIV from 2007 to 2009 across 15 US sites, including Puerto Rico. We included YPHIV aged 7-19 years with body composition data assessed by whole-body dual-energy X-ray absorptiometry (DXA) at baseline and 2 years later. Metabolic outcomes included homeostatic model assessment of insulin resistance (HOMA-IR) and non-high-density lipoprotein cholesterol (non-HDL-C). We fitted linear regression models to assess the association of increase in body fat over 2 years with metabolic outcomes at years 2 and 3. RESULTS In all, 232 participants had a second DXA and either HOMA-IR or non-HDL-C measured at year 2. Participant characteristics at the first DXA were: age 12 years (9-14) [median (Q1-Q3)], 69% Black, and median CD4 count 714 cells/μL; 70% with HIV RNA <400 copies/mL. In adjusted analyses for every 1% increase in body fat from baseline to year 2, HOMA-IR was higher by 1.03-fold at year 3 (95% CI: 1.00, 1.05). We observed that for every 1% increase in body fat from baseline to year 2, non-HDL-C was 0.72 mg/dL higher at year 2 (95% CI: -0.04-1.49) and 0.81 mg/dL higher at year 3 (95% CI: -0.05-1.66). CONCLUSIONS Increases in adiposity over time may lead to downstream decreased insulin sensitivity and dyslipidaemia in YPHIV.
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Affiliation(s)
- Sahera Dirajlal-Fargo
- Case Western Reserve University, Cleveland, Ohio, USA
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Denise L Jacobson
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Wendy Yu
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Ayesha Mirza
- University of Florida Health, Jacksonville, Florida, USA
| | - Mitchell E Geffner
- The Saban Research Institute of Children's Hospital Los Angeles, Los Angeles, California, USA
| | | | - Jennifer Jao
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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24
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Ivan EBC, Teresa EG, Catalina LS, Alberto Francisco RG, Elena RVD. Gender Differences in the Predictive Value of Obesity Indices for Insulin Resistance in Adult Mexican Individuals. Endocr Metab Immune Disord Drug Targets 2024; 24:1640-1650. [PMID: 38415492 DOI: 10.2174/0118715303284893240215070923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 01/09/2024] [Accepted: 01/15/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND Obesity-linked insulin resistance (IR) is an important risk factor for metabolic diseases, and anthropometric indices are commonly used for risk assessment. AIM The study aimed to assess possible differences between women and men in the predictive value and association of nine obesity indices with IR, as assessed by HOMA-IR, in a nondiabetic adult population. METHODS The cross-sectional study included individuals recruited from a hospital in Mexico City. Indices evaluated were waist circumference (WC), hip circumference (HC), body mass index (BMI), waist-to-hip ratio, waist-to-height ratio, visceral adiposity index, body adiposity index (BAI), relative fat mass (RFM), and conicity index (CI). Fasting plasma glucose and insulin were measured to calculate HOMA-IR. Correlation analysis was performed between obesity indices and HOMA-IR. Receiver operating characteristics curve analyses were performed to determine predictive accuracy and cut-off values of obesity indices for IR. A binary logistic regression (BLR) analysis with OR calculation was performed to determine the strength of association with HOMA-IR. RESULTS We included 378 individuals (59% females, mean age 46.38 ±12.25 years). The highest Pearson coefficient value was observed for BMI among women, while among men, the highest values were found for BMI and BAI. WC among women, and BAI and RFM among men showed the highest sensitivity, while the highest specificity was observed for WHR among women and WC among men with respect to insulin prediction. In the adjusted BLR model, BMI, WC, and WHR among women and WC and RFM and BAI among men were independently associated with IR, showing the highest odds ratio (OR). CONCLUSION In Mexican adults, WC, WHR, RFM and BAI could be complementary tools for BMI in screening for IR.
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Affiliation(s)
- Elizalde-Barrera Cesar Ivan
- Department of Internal Medicine. Hospital General de Zona Numero 30, Instituto Mexicano del Seguro Social. Eje 4 Sur, Av. Pdte. Plutarco Elías Calles 473, Santa Anita, Iztacalco, 08300 Ciudad de México, Mexico
| | - Estrada-Garcia Teresa
- Department of Molecular Biomedicine, CINVESTAV-IPN. Av Instituto Politécnico Nacional 2508, San Pedro Zacatenco, Gustavo A. Madero, 07360 Ciudad de México
| | - Lopez-Saucedo Catalina
- Department of Molecular Biomedicine, CINVESTAV-IPN. Av Instituto Politécnico Nacional 2508, San Pedro Zacatenco, Gustavo A. Madero, 07360 Ciudad de México
| | - Rubio-Guerra Alberto Francisco
- Metabolic and Research Clinic, Hospital General de Ticomán, SS DF. Plan de San Luis s/n, La Purísima Ticoman, Gustavo A. Madero, 07330 Ciudad de México, Mexico
| | - Ramirez-Velasco Diana Elena
- Department of Internal Medicine, Hospital GeneraI de Zona No 3, San Juan del Río Queretaro, Instituto Mexicano del Seguro Social. Queretaro, Mexico, Calle Paseo Central Km. 0+600, Los Arrayanes, San Juan Del Río, 76908 Querétaro, México
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25
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Zuraikat FM, Laferrère B, Cheng B, Scaccia SE, Cui Z, Aggarwal B, Jelic S, St-Onge MP. Chronic Insufficient Sleep in Women Impairs Insulin Sensitivity Independent of Adiposity Changes: Results of a Randomized Trial. Diabetes Care 2024; 47:117-125. [PMID: 37955852 PMCID: PMC10733650 DOI: 10.2337/dc23-1156] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 10/11/2023] [Indexed: 11/14/2023]
Abstract
OBJECTIVE Insufficient sleep is associated with type 2 diabetes, yet the causal impact of chronic insufficient sleep on glucose metabolism in women is unknown. We investigated whether prolonged mild sleep restriction (SR), resembling real-world short sleep, impairs glucose metabolism in women. RESEARCH DESIGN AND METHODS Women (aged 20-75 years) without cardiometabolic diseases and with actigraphy-confirmed habitual total sleep time (TST) of 7-9 h/night were recruited to participate in this randomized, crossover study with two 6-week phases: maintenance of adequate sleep (AS) and 1.5 h/night SR. Outcomes included plasma glucose and insulin levels, HOMA of insulin resistance (HOMA-IR) values based on fasting blood samples, as well as total area under the curve for glucose and insulin, the Matsuda index, and the disposition index from an oral glucose tolerance test. RESULTS Our sample included 38 women (n = 11 postmenopausal women). Values are reported with ±SEM. Linear models adjusted for baseline outcome values demonstrated that TST was reduced by 1.34 ± 0.04 h/night with SR versus AS (P < 0.0001). Fasting insulin (β = 6.8 ± 2.8 pmol/L; P = 0.016) and HOMA-IR (β = 0.30 ± 0.12; P = 0.016) values were increased with SR versus AS, with effects on HOMA-IR more pronounced in postmenopausal women compared with premenopausal women (β = 0.45 ± 0.25 vs. β = 0.27 ± 0.13, respectively; P for interaction = 0.042). Change in adiposity did not mediate the effects of SR on glucose metabolism or change results in the full sample when included as a covariate. CONCLUSIONS Curtailing sleep duration to 6.2 h/night, reflecting the median sleep duration of U.S. adults with short sleep, for 6 weeks impairs insulin sensitivity, independent of adiposity. Findings highlight insufficient sleep as a modifiable risk factor for insulin resistance in women to be targeted in diabetes prevention efforts.
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Affiliation(s)
- Faris M. Zuraikat
- Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY
- Center of Excellence for Sleep and Circadian Research, Columbia University Irving Medical Center, New York, NY
- New York Nutrition Obesity Research Center, Columbia University Irving Medical Center, New York, NY
| | - Blandine Laferrère
- New York Nutrition Obesity Research Center, Columbia University Irving Medical Center, New York, NY
- Division of Endocrinology, Department of Medicine, Columbia University Irving Medical Center, New York, NY
| | - Bin Cheng
- Department of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY
| | - Samantha E. Scaccia
- Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY
| | - Zuoqiao Cui
- Department of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY
| | - Brooke Aggarwal
- Center of Excellence for Sleep and Circadian Research, Columbia University Irving Medical Center, New York, NY
- Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY
| | - Sanja Jelic
- Center of Excellence for Sleep and Circadian Research, Columbia University Irving Medical Center, New York, NY
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY
| | - Marie-Pierre St-Onge
- Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY
- Center of Excellence for Sleep and Circadian Research, Columbia University Irving Medical Center, New York, NY
- New York Nutrition Obesity Research Center, Columbia University Irving Medical Center, New York, NY
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26
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Korpimäki S, Rovio SP, Juonala M, Hutri-Kähönen N, Lehtimäki T, Laitinen TP, Tossavainen P, Jokinen E, Loo BM, Männistö S, Tammelin T, Haarala A, Aatola H, Komar G, Viikari J, Raitakari O, Kähönen M, Pahkala K. Nonalcoholic Fatty Liver Disease Incidence and Remission and Their Predictors During 7 Years of Follow-up Among Finns. J Clin Endocrinol Metab 2023; 109:e291-e305. [PMID: 37463486 PMCID: PMC10735312 DOI: 10.1210/clinem/dgad418] [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: 03/23/2023] [Revised: 06/12/2023] [Accepted: 07/11/2023] [Indexed: 07/20/2023]
Abstract
CONTEXT The incidence and remission of nonalcoholic fatty liver disease (NAFLD) are sparsely studied outside Asia. OBJECTIVE This prospective study aimed to investigate NAFLD incidence and remission, and their predictors among a general Finnish population. METHODS The applied cohort included 1260 repeatedly studied middle-aged participants with data on liver ultrasound and no excessive alcohol intake. Hepatic steatosis was assessed by liver ultrasound with a 7.2-year study interval. Comprehensive data on health parameters and lifestyle factors were available. RESULTS At baseline, 1079 participants did not have NAFLD, and during the study period 198 of them developed NAFLD. Of the 181 participants with NAFLD at baseline, 40 achieved NAFLD remission. Taking multicollinearity into account, key predictors for incident NAFLD were baseline age (odds ratio 1.07; 95% CI, 1.02-1.13; P = .009), waist circumference (WC) (2.77, 1.91-4.01 per 1 SD; P < .001), and triglycerides (2.31, 1.53-3.51 per 1 SD; P < .001) and alanine aminotransferase (ALAT) (1.90, 1.20-3.00 per 1 SD; P = .006) concentrations as well as body mass index (BMI) change (4.12, 3.02-5.63 per 1 SD; P < .001). Predictors of NAFLD remission were baseline aspartate aminotransferase (ASAT) concentration (0.23, 0.08-0.67 per 1 SD; P = .007) and WC change (0.38, 0.25-0.59 per 1 SD; P < .001). CONCLUSION During follow-up, NAFLD developed for every fifth participant without NAFLD at baseline, and one-fifth of those with NAFLD at baseline had achieved NAFLD remission. NAFLD became more prevalent during the follow-up period. From a clinical perspective, key factors predicting NAFLD incidence and remission were BMI and WC change independent of their baseline level.
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Affiliation(s)
- Satu Korpimäki
- Department of Clinical Physiology and Nuclear Medicine, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland
| | - Suvi P Rovio
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520 Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520 Turku, Finland
| | - Markus Juonala
- Division of Medicine, Turku University Hospital, 20521 Turku, Finland
- Department of Medicine, University of Turku, 20500 Turku, Finland
| | - Nina Hutri-Kähönen
- Department of Pediatrics, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center—Tampere, Tampere University, 33100 Tampere, Finland
| | - Tomi P Laitinen
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital and University of Eastern Finland, 70211 Kuopio, Finland
| | - Päivi Tossavainen
- Department of Pediatrics and Adolescent Medicine, Oulu University Hospital, MRC Oulu and Research Unit of Clinical Medicine, University of Oulu, 90220 Oulu, Finland
| | - Eero Jokinen
- Department of Pediatric Cardiology, Hospital for Children and Adolescents, University of Helsinki, 00290 Helsinki, Finland
| | - Britt-Marie Loo
- Joint Clinical Biochemistry Laboratory, Turku University Hospital and University of Turku, 20500 Turku, Finland
| | - Satu Männistö
- Department of Chronic Disease Prevention, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland
| | - Tuija Tammelin
- Likes, School of Health and Social Studies, Jamk University of Applied Sciences, 40101 Jyväskylä, Finland
| | - Atte Haarala
- Department of Clinical Physiology and Nuclear Medicine, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland
| | - Heikki Aatola
- Department of Clinical Physiology and Nuclear Medicine, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland
| | - Gaber Komar
- Department of Radiology, Turku University Hospital, 20521 Turku, Finland
| | - Jorma Viikari
- Division of Medicine, Turku University Hospital, 20521 Turku, Finland
- Department of Medicine, University of Turku, 20500 Turku, Finland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520 Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520 Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital and University of Turku, 20500 Turku, Finland
| | - Mika Kähönen
- Department of Clinical Physiology and Nuclear Medicine, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520 Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520 Turku, Finland
- Paavo Nurmi Centre & Unit for Health and Physical Activity, University of Turku, 20500 Turku, Finland
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27
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Ky A, McCoy AJ, Flesher CG, Friend NE, Li J, Akinleye K, Patsalis C, Lumeng CN, Putnam AJ, O’Rourke RW. Matrix density regulates adipocyte phenotype. Adipocyte 2023; 12:2268261. [PMID: 37815174 PMCID: PMC10566443 DOI: 10.1080/21623945.2023.2268261] [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: 08/22/2023] [Accepted: 09/29/2023] [Indexed: 10/11/2023] Open
Abstract
Alterations of the extracellular matrix contribute to adipose tissue dysfunction in metabolic disease. We studied the role of matrix density in regulating human adipocyte phenotype in a tunable hydrogel culture system. Lipid accumulation was maximal in intermediate hydrogel density of 5 weight %, relative to 3% and 10%. Adipogenesis and lipid and oxidative metabolic gene pathways were enriched in adipocytes in 5% relative to 3% hydrogels, while fibrotic gene pathways were enriched in 3% hydrogels. These data demonstrate that the intermediate density matrix promotes a more adipogenic, less fibrotic adipocyte phenotype geared towards increased lipid and aerobic metabolism. These observations contribute to a growing literature describing the role of matrix density in regulating adipose tissue function.
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Affiliation(s)
- Alexander Ky
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Atticus J. McCoy
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Carmen G. Flesher
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Graduate Program, University of Pennsylvania, Philadelphia, PA, USA
| | - Nicole E. Friend
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Jie Li
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Kore Akinleye
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Christopher Patsalis
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Carey N. Lumeng
- Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI, USA
- Graduate Program in Immunology, University of Michigan, Ann Arbor, MI, USA
- Graduate Program in Cellular and Molecular Biology, University of Michigan, Ann Arbor, MI, USA
| | - Andrew J. Putnam
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Robert W. O’Rourke
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Department of Surgery, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
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Dalakoti M, Leow MKS, Khoo CM, Yang H, Ling LH, Muthiah M, Tan E, Lee J, Dan YY, Chew N, Seow WQ, Soong PL, Gan L, Gurung R, Ackers-Johnson M, Hou HW, Sachaphibulkij K, MacAry P, Low G, Ang C, Yeo TJ, Djohan AH, Li T, Yeung W, Soh R, Sia CH, Panday V, Loong SSE, Tan BYQ, Yeo LLL, Teo L, Chow P, Foo R. Platform for the interdisciplinary study of cardiovascular, metabolic and neurovascular diseases (PICMAN) protocol. Sci Rep 2023; 13:20521. [PMID: 37993612 PMCID: PMC10665389 DOI: 10.1038/s41598-023-47407-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 11/13/2023] [Indexed: 11/24/2023] Open
Abstract
Through extensive multisystem phenotyping, the central aim of Project PICMAN is to correlate metabolic flexibility to measures of cardiometabolic health, including myocardial diastolic dysfunction, coronary and cerebral atherosclerosis, body fat distribution and severity of non-alcoholic fatty liver disease. This cohort will form the basis of larger interventional trials targeting metabolic inflexibility in the prevention of cardiovascular disease. Participants aged 21-72 years with no prior manifest atherosclerotic cardiovascular disease (ASCVD) are being recruited from a preventive cardiology clinic and an existing cohort of non-alcoholic fatty liver disease (NAFLD) in an academic medical centre. A total of 120 patients will be recruited in the pilot phase of this study and followed up for 5 years. Those with 10-year ASCVD risk ≥ 5% as per the QRISK3 calculator are eligible. Those with established diabetes mellitus are excluded. Participants recruited undergo a detailed assessment of health behaviours and physical measurements. Participants also undergo a series of multimodality clinical phenotyping comprising cardiac tests, vascular assessments, metabolic tests, liver and neurovascular testing. Blood samples are also being collected and banked for plasma biomarkers, 'multi-omics analyses' and for generation of induced pluripotent stem cells (iPSC). Extensive evidence points to metabolic dysregulation as an early precursor of cardiovascular disease, particularly in Asia. We hypothesise that quantifiable metabolic inflexibility may be representative of an individual in his/her silent, but high-risk progression towards insulin resistance, diabetes and cardiovascular disease. The platform for interdisciplinary cardiovascular-metabolic-neurovascular diseases (PICMAN) is a pilot, prospective, multi-ethnic cohort study.
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Affiliation(s)
- Mayank Dalakoti
- Department of Cardiology, National University Heart Centre, Singapore, Singapore.
- Department of Medicine, Ng Teng Fong General Hospital, Singapore, Singapore.
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore.
| | - Melvin Khee Shing Leow
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Chin Meng Khoo
- Department of Medicine, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Hayang Yang
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Lieng Hsi Ling
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Mark Muthiah
- Department of Medicine, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Eunice Tan
- Department of Medicine, National University Health System, Singapore, Singapore
| | - Jonathan Lee
- Department of Medicine, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yock Young Dan
- Department of Medicine, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Nicholas Chew
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Wei Qiang Seow
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Poh Loong Soong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Louis Gan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Rijan Gurung
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Matthew Ackers-Johnson
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Han Wei Hou
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Karishma Sachaphibulkij
- Center for Life Sciences, National University of Singapore-Cambridge Cell Phenotyping Centre, Singapore, Singapore
| | - Paul MacAry
- Center for Life Sciences, National University of Singapore-Cambridge Cell Phenotyping Centre, Singapore, Singapore
| | - Gwen Low
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Christy Ang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Tee Joo Yeo
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Andie Hartanto Djohan
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
- Department of Medicine, Ng Teng Fong General Hospital, Singapore, Singapore
| | - Tony Li
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
| | - Wesley Yeung
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
| | - Rodney Soh
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
| | - Ching Hui Sia
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Vinay Panday
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
| | - Shaun S E Loong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Benjamin Y Q Tan
- Department of Medicine, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Leonard L L Yeo
- Department of Medicine, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Lynette Teo
- Department of Radiology, National University Health System, Singapore, Singapore
| | - Pierce Chow
- Duke-NUS Medical School, Singapore, Singapore
| | - Roger Foo
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
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Qiu J, Kuang M, Zou Y, Yang R, Shangguan Q, Liu D, Sheng G, Wang W. The predictive significance of lipid accumulation products for future diabetes in a non-diabetic population from a gender perspective: an analysis using time-dependent receiver operating characteristics. Front Endocrinol (Lausanne) 2023; 14:1285637. [PMID: 38034005 PMCID: PMC10682705 DOI: 10.3389/fendo.2023.1285637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 10/30/2023] [Indexed: 12/02/2023] Open
Abstract
Objective The increasing prevalence of diabetes is strongly associated with visceral adipose tissue (VAT), and gender differences in VAT remarkably affect the risk of developing diabetes. This study aimed to assess the predictive significance of lipid accumulation products (LAP) for the future onset of diabetes from a gender perspective. Methods A total of 8,430 male and 7,034 female non-diabetic participants in the NAGALA (NAfld in the Gifu Area, Longitudinal Analysis) program were included. The ability of LAP to assess the risk of future new-onset diabetes in both genders was analyzed using multivariate Cox regression. Subgroup analysis was conducted to explore the impact of potential modifiers on the association between LAP and diabetes. Additionally, time-dependent receiver operator characteristics (ROC) curves were used to assess the predictive power of LAP in both genders for new-onset diabetes over the next 2-12 years. Results Over an average follow-up of 6.13 years (maximum 13.14 years), 373 participants developed diabetes. Multivariate Cox regression analysis showed a significant gender difference in the association between LAP and future diabetes risk (P-interaction<0.05): the risk of diabetes associated with LAP was greater in females than males [hazard ratios (HRs) per standard deviation (SD) increase: male 1.20 (1.10, 1.30) vs female 1.35 (1.11, 1.64)]. Subgroup analysis revealed no significant modifying effect of factors such as age, body mass index (BMI), smoking history, drinking history, exercise habits, and fatty liver on the risk of diabetes associated with LAP (All P-interaction <0.05). Time-dependent ROC analysis showed that LAP had greater accuracy in predicting diabetes events occurring within the next 2-12 years in females than males with more consistent predictive thresholds in females. Conclusions This study highlighted a significant gender difference in the association between LAP and future diabetes risk. The risk of diabetes associated with LAP was greater in females than in males. Furthermore, LAP showed superior predictive ability for diabetes at different time points in the future in females and had more consistent and stable predictive thresholds in females, particularly in the medium and long term.
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Affiliation(s)
- Jiajun Qiu
- Department of Internal Medicine, Medical College of Nanchang University, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Maobin Kuang
- Department of Internal Medicine, Medical College of Nanchang University, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Yang Zou
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Ruijuan Yang
- Department of Internal Medicine, Medical College of Nanchang University, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi, China
- Department of Endocrinology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Qing Shangguan
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Dingyang Liu
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Guotai Sheng
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Wei Wang
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
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Burton MA, Garratt ES, Hewitt MO, Sharkh HY, Antoun E, Westbury LD, Dennison EM, Harvey NC, Cooper C, MacIsaac JL, Kobor MS, Patel HP, Godfrey KM, Lillycrop KA. DNA methylation of insulin signaling pathways is associated with HOMA2-IR in primary myoblasts from older adults. Skelet Muscle 2023; 13:17. [PMID: 37898813 PMCID: PMC10612387 DOI: 10.1186/s13395-023-00326-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 10/09/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND While ageing is associated with increased insulin resistance (IR), the molecular mechanisms underlying increased IR in the muscle, the primary organ for glucose clearance, have yet to be elucidated in older individuals. As epigenetic processes are suggested to contribute to the development of ageing-associated diseases, we investigated whether differential DNA methylation was associated with IR in human primary muscle stem cells (myoblasts) from community-dwelling older individuals. METHODS We measured DNA methylation (Infinium HumanMethylationEPIC BeadChip) in myoblast cultures from vastus lateralis biopsies (119 males/females, mean age 78.24 years) from the Hertfordshire Sarcopenia Study extension (HSSe) and examined differentially methylated cytosine phosphate guanine (CpG) sites (dmCpG), regions (DMRs) and gene pathways associated with HOMA2-IR, an index for the assessment of insulin resistance, and levels of glycated hemoglobin HbA1c. RESULTS Thirty-eight dmCpGs (false discovery rate (FDR) < 0.05) were associated with HOMA2-IR, with dmCpGs enriched in genes linked with JNK, AMPK and insulin signaling. The methylation signal associated with HOMA2-IR was attenuated after the addition of either BMI (6 dmCpGs), appendicular lean mass index (ALMi) (7 dmCpGs), grip strength (15 dmCpGs) or gait speed (23 dmCpGs) as covariates in the model. There were 8 DMRs (Stouffer < 0.05) associated with HOMA2-IR, including DMRs within T-box transcription factor (TBX1) and nuclear receptor subfamily-2 group F member-2 (NR2F2); the DMRs within TBX1 and NR2F2 remained associated with HOMA2-IR after adjustment for BMI, ALMi, grip strength or gait speed. Forty-nine dmCpGs and 21 DMRs were associated with HbA1c, with cg13451048, located within exoribonuclease family member 3 (ERI3) associated with both HOMA2-IR and HbA1c. HOMA2-IR and HbA1c were not associated with accelerated epigenetic ageing. CONCLUSIONS These findings suggest that insulin resistance is associated with differential DNA methylation in human primary myoblasts with both muscle mass and body composition making a significant contribution to the methylation changes associated with IR.
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Affiliation(s)
- Mark A Burton
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Emma S Garratt
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Matthew O Hewitt
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Hanan Y Sharkh
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
- Biological Sciences, University of Southampton, Southampton, UK
| | - Elie Antoun
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Leo D Westbury
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Elaine M Dennison
- NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Nicholas C Harvey
- NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Cyrus Cooper
- NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Julia L MacIsaac
- Department of Medical Genetics, Faculty of Medicine, Edwin S.H. Leong Healthy Aging Program, University of British Columbia, Vancouver, Canada
| | - Michael S Kobor
- Department of Medical Genetics, Faculty of Medicine, Edwin S.H. Leong Healthy Aging Program, University of British Columbia, Vancouver, Canada
| | - Harnish P Patel
- NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- Faculty of Medicine, Academic Geriatric Medicine, University of Southampton, Southampton, UK
| | - Keith M Godfrey
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Karen A Lillycrop
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK.
- NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK.
- Biological Sciences, University of Southampton, Southampton, UK.
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Tao M, Zhou G, Liu J, He M, Wang C, Luo X, Zhang L. Visceral adipose tissue and risk of nonalcoholic fatty liver disease: A Mendelian randomization study. Clin Endocrinol (Oxf) 2023; 99:370-377. [PMID: 37559547 DOI: 10.1111/cen.14953] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 07/05/2023] [Accepted: 07/17/2023] [Indexed: 08/11/2023]
Abstract
OBJECTIVE Observational studies have shown that visceral adipose tissue (VAT) can increase the risk of nonalcoholic fatty liver disease (NAFLD). However, the causality of this association remains unclear. Therefore, this study aimed to explore the causal association between VAT and NAFLD. DESIGN We obtained single-nucleotide polymorphisms strongly associated with VAT (n = 325,153) from large-scale genome-wide association studies. Summary-level data for NAFLD (2275 cases and 375,002 controls) was available from the FinnGen consortium. We applied two-sample Mendelian randomization (MR) to determine the causal association between VAT and NAFLD. The random-effects inverse-variance weighted (IVW) method was used as the main MR approach, with alternate methods including the weighted median (WM) approach and MR-Egger regression. In addition, we conducted sensitivity analyses to assess the robustness of MR analyses. RESULTS Genetically predicted higher VAT mass is causally associated with a higher risk of NAFLD. The three analysis results of MR were as follows: IVW (β = 0.665, odds ratio [OR] = 1.944, 95% confidence interval [CI] = 1.482-2.550, p = 1.58e-06], WM (β = 0.615, OR = 1.849, 95% CI = 1.272-2.689, p = 1.29e-03), and MR-Egger (β = 1.250, OR = 3.490, 95% CI = 1.522-7.998, p = 3.52e-03). In the sensitivity analysis, the data showed heterogeneity (p < 0.05) but no pleiotropy (p = 0.145). CONCLUSION This study provided genetic evidence that higher VAT mass causally associated with a higher risk of NAFLD. The amount of VAT could be reduced using a therapeutic strategy for managing NAFLD.
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Affiliation(s)
- Min Tao
- Department of Endocrinology, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Guanghong Zhou
- Department of Endocrinology, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Jing Liu
- Department of Endocrinology, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Miao He
- Department of Endocrinology, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Cong Wang
- Department of Endocrinology, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Xie Luo
- Department of Endocrinology, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Lili Zhang
- Department of Endocrinology, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
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Mouchti S, Orliacq J, Reeves G, Chen Z. Assessment of correlation between conventional anthropometric and imaging-derived measures of body fat composition: a systematic literature review and meta-analysis of observational studies. BMC Med Imaging 2023; 23:127. [PMID: 37710156 PMCID: PMC10503139 DOI: 10.1186/s12880-023-01063-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 07/24/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND In studies of the association of adiposity with disease risk, widely used anthropometric measures of adiposity (e.g. body-mass-index [BMI], waist circumference [WC], waist-hip ratio [WHR]) are simple and inexpensive to implement at scale. In contrast, imaging-based techniques (e.g. magnetic resonance imaging [MRI] and dual x-ray absorptiometry [DXA]) are expensive and labour intensive, but can provide more accurate quantification of body fat composition. There is, however, limited evidence about the relationship between conventional and imaging-derived measures of adiposity. METHODS We searched Scopus and Web of Science for published reports in English of conventional versus imaging-derived measurements of adiposity. We identified 42 articles (MRI = 22; DXA = 20) that met selection criteria, involving 42,556 (MRI = 15,130; DXA = 27,426) individuals recruited from community or hospital settings. Study-specific correlation coefficients (r) were transformed using Fisher's Z transformation, and meta-analysed to yield weighted average correlations, both overall and by ancestry, sex and age, where feasible. Publication bias was investigated using funnel plots and Egger's test. RESULTS Overall, 98% of participants were 18 + years old, 85% male and 95% White. BMI and WC were most strongly correlated with imaging-derived total abdominal (MRI-derived: r = 0.88-; DXA-derived: 0.50-0.86) and subcutaneous abdominal fat (MRI-derived: 0.83-0.85), but were less strongly correlated with visceral abdominal fat (MRI-derived: 0.76-0.79; DXA-derived: 0.80) and with DXA-derived %body fat (0.76). WHR was, at best, strongly correlated with imaging-derived total abdominal (MRI-derived: 0.60; DXA-derived: 0.13), and visceral abdominal fat (MRI-derived: 0.67; DXA-derived: 0.65), and moderately with subcutaneous abdominal (MRI-derived: 0.54), and with DXA-derived %body fat (0.58). All conventional adiposity measures were at best moderately correlated with hepatic fat (MRI-derived: 0.36-0.43). In general, correlations were stronger in women than in men, in Whites than in non-Whites, and in those aged 18 + years. CONCLUSIONS In this meta-analysis, BMI and WC, but not WHR, were very strongly correlated with imaging-derived total and subcutaneous abdominal fat. By comparison, all three measures were moderately or strongly correlated with imaging-based visceral abdominal fat, with WC showing the greatest correlation. No anthropometric measure was substantially correlated with hepatic fat. Further larger studies are needed to compare these measures within the same study population, and to assess their relevance for disease risks in diverse populations.
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Affiliation(s)
- Sofia Mouchti
- Cancer Epidemiology Unit, Richard Doll Building, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Oxford, OX3 7LF, UK
| | - Josefina Orliacq
- Cancer Epidemiology Unit, Richard Doll Building, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Gillian Reeves
- Cancer Epidemiology Unit, Richard Doll Building, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Zhengming Chen
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Oxford, OX3 7LF, UK.
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Seva DC, Mônico-Neto M, Antunes HKM, Pino JMV, Bittencourt LRA, Galvão TD, Dâmaso AR, Oyama LM, Shivappa N, Hébert JR, Tufik S, da Silveira Campos RM. Beneficial Short-Term Effects of Bariatric Surgery on Nutritional Inflammatory Profile and Metabolic Biomarkers. Obes Surg 2023; 33:2789-2798. [PMID: 37540480 DOI: 10.1007/s11695-023-06743-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 07/08/2023] [Accepted: 07/14/2023] [Indexed: 08/05/2023]
Abstract
PURPOSE Bariatric surgery (BS) has several potential metabolic benefits. However, little is known about its impact on changes in the inflammatory potential of diet and its effect on inflammatory and metabolic markers. This study aimed to assess the short-term beneficial effects of BS on dietary inflammatory potential and inflammatory and metabolic markers. MATERIALS AND METHODS Participants (n = 20) were evaluated 3 months before and after BS. Body mass, body mass index, anthropometric measurements, fat mass, fat-free mass, visceral fat, skeletal muscle mass, basal metabolic rate, serum lipids, HOMA-IR, QUICKI and inflammatory markers, including leptin, adiponectin, adiponectin/leptin ratio and plasminogen activator inhibitor-1 (PAI-1), were evaluated. Diet data were collected using a 3-day diet record and the dietary inflammatory index (DII®) and energy-adjusted dietary inflammatory index (E-DIITM) scores were computed. RESULTS There was a reduction in DII® (2.56 vs 2.13) and E-DIITM (2.18 vs 0.45) indicating an improvement in inflammatory nutritional profile. Moreover, there were increases in the adiponectin/leptin ratio (0.08 vs 0.21) and QUICKI scores (0.31 vs 0.37), and reductions in leptin (36.66 vs 11.41 ng/ml) and HOMA-IR scores (3.93 vs 1.50). There were also improvements in body composition and anthropometric parameters. CONCLUSIONS BS promotes changes in metabolic profile, inflammatory state and food intake and these modifications appeared to be associated with improvements in diet-related inflammation, an increase in the adiponectin/leptin ratio and a reduction in leptin. These results contribute to knowledge on the contribution bariatric surgery can make to the treatment of obesity and the reduction of related comorbidities.
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Affiliation(s)
- Danielle Cristina Seva
- Post Graduate Program of Interdisciplinary Health Sciences, Universidade Federal de São Paulo, Campus Baixada Santista, Rua Silva Jardim, 136 - Térreo, Vila Matias, Santos, 11015020, Brazil
| | - Marcos Mônico-Neto
- Post Graduate Program of Interdisciplinary Health Sciences, Universidade Federal de São Paulo, Campus Baixada Santista, Rua Silva Jardim, 136 - Térreo, Vila Matias, Santos, 11015020, Brazil.
- Post Graduate Program in Psychobiology, Universidade Federal de São Paulo, São Paulo, Brazil.
- BariMais - Medicina Integrada, São Paulo, Brazil.
| | - Hanna Karen Moreira Antunes
- Post Graduate Program of Interdisciplinary Health Sciences, Universidade Federal de São Paulo, Campus Baixada Santista, Rua Silva Jardim, 136 - Térreo, Vila Matias, Santos, 11015020, Brazil
- Post Graduate Program in Psychobiology, Universidade Federal de São Paulo, São Paulo, Brazil
- Department of Biosciences, Universidade Federal de São Paulo, Santos, Brazil
| | | | - Lia Rita Azeredo Bittencourt
- Post Graduate Program in Psychobiology, Universidade Federal de São Paulo, São Paulo, Brazil
- Department of Psychobiology, Universidade Federal de São Paulo, São Paulo, Brazil
| | | | - Ana R Dâmaso
- Post Graduate Program of Nutrition, Paulista Medicine School, Universidade Federal de São Paulo (UNIFESP-EPMP), São Paulo, Brazil
| | - Lila Missae Oyama
- Post Graduate Program of Nutrition, Paulista Medicine School, Universidade Federal de São Paulo (UNIFESP-EPMP), São Paulo, Brazil
- Department of Physiology Paulista Medicine School, Universidade Federal de São Paulo, São Paulo, SP, Brazil
| | - Nitin Shivappa
- Cancer Prevention and Control Program, University of South Carolina, Columbia, SC, USA
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Department of Nutrition, Connecting Health Innovations LLC (CHI), Columbia, SC, USA
| | - James R Hébert
- Cancer Prevention and Control Program, University of South Carolina, Columbia, SC, USA
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Department of Nutrition, Connecting Health Innovations LLC (CHI), Columbia, SC, USA
| | - Sergio Tufik
- Post Graduate Program in Psychobiology, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Raquel Munhoz da Silveira Campos
- Post Graduate Program of Interdisciplinary Health Sciences, Universidade Federal de São Paulo, Campus Baixada Santista, Rua Silva Jardim, 136 - Térreo, Vila Matias, Santos, 11015020, Brazil
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Rundle M, Fiamoncini J, Thomas EL, Wopereis S, Afman LA, Brennan L, Drevon CA, Gundersen TE, Daniel H, Perez IG, Posma JM, Ivanova DG, Bell JD, van Ommen B, Frost G. Diet-induced Weight Loss and Phenotypic Flexibility Among Healthy Overweight Adults: A Randomized Trial. Am J Clin Nutr 2023; 118:591-604. [PMID: 37661105 PMCID: PMC10517213 DOI: 10.1016/j.ajcnut.2023.07.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 06/28/2023] [Accepted: 07/03/2023] [Indexed: 09/05/2023] Open
Abstract
BACKGROUND The capacity of an individual to respond to changes in food intake so that postprandial metabolic perturbations are resolved, and metabolism returns to its pre-prandial state, is called phenotypic flexibility. This ability may be a more important indicator of current health status than metabolic markers in a fasting state. AIM In this parallel randomized controlled trial study, an energy-restricted healthy diet and 2 dietary challenges were used to assess the effect of weight loss on phenotypic flexibility. METHODS Seventy-two volunteers with overweight and obesity underwent a 12-wk dietary intervention. The participants were randomized to a weight loss group (WLG) with 20% less energy intake or a weight-maintenance group (WMG). At weeks 1 and 12, participants were assessed for body composition by MRI. Concurrently, markers of metabolism and insulin sensitivity were obtained from the analysis of plasma metabolome during 2 different dietary challenges-an oral glucose tolerance test (OGTT) and a mixed-meal tolerance test. RESULTS Intended weight loss was achieved in the WLG (-5.6 kg, P < 0.0001) and induced a significant reduction in total and regional adipose tissue as well as ectopic fat in the liver. Amino acid-based markers of insulin action and resistance such as leucine and glutamate were reduced in the postprandial phase of the OGTT in the WLG by 11.5% and 28%, respectively, after body weight reduction. Weight loss correlated with the magnitude of changes in metabolic responses to dietary challenges. Large interindividual variation in metabolic responses to weight loss was observed. CONCLUSION Application of dietary challenges increased sensitivity to detect metabolic response to weight loss intervention. Large interindividual variation was observed across a wide range of measurements allowing the identification of distinct responses to the weight loss intervention and mechanistic insight into the metabolic response to weight loss.
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Affiliation(s)
- Milena Rundle
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Jarlei Fiamoncini
- Food Research Center, Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - E Louise Thomas
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom
| | - Suzan Wopereis
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research, Hague, The Netherlands
| | - Lydia A Afman
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway; Vitas Ltd, Oslo Science Park, Oslo, Norway
| | | | - Hannelore Daniel
- Hannelore Daniel, Molecular Nutrition Unit, Technische Universität München, München, Germany
| | - Isabel Garcia Perez
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Joram M Posma
- Section of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Diana G Ivanova
- Department of Biochemistry, Molecular Medicine and Nutrigenomics, Faculty of Pharmacy, Medical University, Varna, Bulgaria
| | - Jimmy D Bell
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom
| | - Ben van Ommen
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research, Hague, The Netherlands
| | - Gary Frost
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom.
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Silver HJ, Olson D, Mayfield D, Wright P, Nian H, Mashayekhi M, Koethe JR, Niswender KD, Luther JM, Brown NJ. Effect of the glucagon-like peptide-1 receptor agonist liraglutide, compared to caloric restriction, on appetite, dietary intake, body fat distribution and cardiometabolic biomarkers: A randomized trial in adults with obesity and prediabetes. Diabetes Obes Metab 2023; 25:2340-2350. [PMID: 37188932 PMCID: PMC10544709 DOI: 10.1111/dom.15113] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/24/2023] [Accepted: 04/25/2023] [Indexed: 05/17/2023]
Abstract
AIMS To investigate the hypothesis that weight loss with the glucagon-like peptide-1 receptor agonist (GLP-1RA) liraglutide alone would lead to a greater reduction in the proportion of fat to lean tissue mass when compared to caloric restriction (CR) alone, as well as when compared to treatment with sitagliptin, a dipeptidyl peptidase-4 (DPP-4) inhibitor, that also enhances GLP-1 activity - to determine the independent effects of each treatment. METHODS A total of 88 adults with obesity and prediabetes were randomized to 14 weeks of intervention with CR (-390 kcal/d), liraglutide (1.8 mg/d), or the dipeptidyl peptidase-4 inhibitor sitagliptin (100 mg/d) as a weight-neutral comparator. Changes between groups in appetite and hunger ratings measured via visual analogue scales, dietary intakes, body weight, body composition via dual energy x-ray absorptiometry, and resting energy expenditure via indirect calorimetry were assessed using the Kruskal-Wallis test or Pearson's chi-squared test. RESULTS Weight loss ≥5% of baseline body weight occurred in 44% of participants in the CR group, 22% of the liraglutide group and 5% of the sitagliptin group (p = 0.02). The ratio of fat to lean mass decreased by 6.5% in the CR group, 2.2% in the liraglutide group, and 0% in the sitagliptin group (p = 0.02). Visceral fat reduced by 9.5% in the CR group, 4.8% in the liraglutide group, and 0% in the sitagliptin group (p = 0.04). A spontaneous reduction in dietary simple carbohydrates in the CR group was associated with improved homeostatic model assessment of insulin resistance score (HOMA-IR). CONCLUSIONS Although both liraglutide and CR are valuable strategies for cardiometabolic risk reduction, CR was associated with greater weight loss and more favourable improvements in body composition than treatment with liraglutide alone. Differences in the response to each of these interventions enables patients to be stratified to the most optimal intervention for their personal risk factors.
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Affiliation(s)
- Heidi J. Silver
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Veteran Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - Dianna Olson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Dustin Mayfield
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Patricia Wright
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Hui Nian
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Mona Mashayekhi
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - John R. Koethe
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Veteran Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - Kevin D. Niswender
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Veteran Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - James M. Luther
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Veteran Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - Nancy J. Brown
- School of Medicine, Yale University, New Haven, Connecticut, USA
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Keshavjee SH, Schwenger KJP, Yadav J, Pickel L, Ghorbani Y, Sung HK, Jung H, Lou W, Fischer SE, Jackson TD, Okrainec A, Allard JP. Adipose Tissue and Plasma Markers Associated with HbA1c Pre- and Post-bariatric Surgery: a Cross-sectional and Cohort Study. Obes Surg 2023; 33:2443-2451. [PMID: 37380880 DOI: 10.1007/s11695-023-06679-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 06/06/2023] [Accepted: 06/08/2023] [Indexed: 06/30/2023]
Abstract
PURPOSE Obesity can be associated with chronic inflammation and dysregulated expression of inflammatory adipokines that contribute to insulin resistance and type 2 diabetes. This may also affect the clinical response to bariatric surgery. Our objective was whether baseline visceral adipose tissue features and plasma adipokine are associated with HbA1c ≥0.06 at the time of Roux-en-Y gastric bypass (RYGB) surgery and with persistently elevated HbA1c at 12 months post-RYGB. METHODS During the surgery, adipose biopsies and plasma were collected for adipokine/cytokine profile. Clinical and biochemical measurements were also collected at the time of RYGB and, in those with baseline elevated HbA1c, at 12 months post-RYGB. RESULTS In the cross-sectional study, 109 patients (82.6% female; age 49 years; BMI 46.98 kg/m2) participated. Of those with elevated HbA1c at baseline (n = 61), 47 patients had repeated measurements at 12 months post-RYGB (23% drop-out). Using a multivariate logistic regression model, older age (adjusted odds ratio (aOR), 1.14; 95% confidence interval (CI), 1.06-1.22) and higher plasma resistin (aOR, 5.30; 95% CI, 1.25-22.44) were associated with higher odds of HbA1c ≥ 0.06, whereas higher plasma adiponectin (aOR, 0.993; 95% CI, 0.99-0.996) was associated with lower odds of HbA1c ≥0.06. In addition, baseline higher average adipose cell area (aOR, 1.0017; 95% CI, 1.0002-1.0032) and plasma resistin (aOR, 1.0004; 95% CI, 1.0000-1.0009) were associated with higher odds of having persistently elevated HbA1c at 12 months post-RYGB. CONCLUSION Our study suggests that baseline plasma adipokine dysregulation, specifically high resistin, and adipocyte hypertrophy may affect the clinical response to RYGB.
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Affiliation(s)
- Sara H Keshavjee
- Division of General Surgery, University Health Network, University of Toronto, 190 Elizabeth Street, 1st Floor, Suite 408, Toronto, ON, M5G 2C4, Canada
| | - Katherine J P Schwenger
- Division of Gastroenterology, Toronto General Hospital, University Health Network, 6 Queen's Park Crescent West, Third Floor, Toronto, ON, M5S 3H2, Canada
| | - Jitender Yadav
- Department of Immunology, University of Toronto, 1 King's College Circle, Medical Sciences Building, Room 7207, Toronto, ON, M5S 1A8, Canada
| | - Lauren Pickel
- Translational Medicine Program, The Hospital for Sick Children, 686 Bay St, Toronto, ON, M5G 0A4, Canada
| | - Yasaman Ghorbani
- Division of Gastroenterology, Toronto General Hospital, University Health Network, 6 Queen's Park Crescent West, Third Floor, Toronto, ON, M5S 3H2, Canada
| | - Hoon-Ki Sung
- Translational Medicine Program, The Hospital for Sick Children, 686 Bay St, Toronto, ON, M5G 0A4, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, 1 King's College Circle, 6th Floor, Toronto, ON, M5S 1A8, Canada
| | - Hyejung Jung
- Dalla Lana Public Health Department, University of Toronto, 155 College St, 6th Fl, Toronto, ON, M5T 3M7, Canada
| | - Wendy Lou
- Dalla Lana Public Health Department, University of Toronto, 155 College St, 6th Fl, Toronto, ON, M5T 3M7, Canada
| | - Sandra E Fischer
- Department of Laboratory Medicine and Pathobiology, University of Toronto, 1 King's College Circle, 6th Floor, Toronto, ON, M5S 1A8, Canada
| | - Timothy D Jackson
- Division of General Surgery, University Health Network, University of Toronto, 190 Elizabeth Street, 1st Floor, Suite 408, Toronto, ON, M5G 2C4, Canada
| | - Allan Okrainec
- Division of General Surgery, University Health Network, University of Toronto, 190 Elizabeth Street, 1st Floor, Suite 408, Toronto, ON, M5G 2C4, Canada
| | - Johane P Allard
- Division of Gastroenterology, Toronto General Hospital, University Health Network, 6 Queen's Park Crescent West, Third Floor, Toronto, ON, M5S 3H2, Canada.
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Batterham RL, Espinosa N, Katlama C, McKellar M, Scholten S, Smith DE, Ait-Khaled M, George N, Wright J, Gordon LA, Moodley R, Wynne B, van Wyk J. Cardiometabolic Parameters 3 Years After Switch to Dolutegravir/Lamivudine vs Maintenance of Tenofovir Alafenamide-Based Regimens. Open Forum Infect Dis 2023; 10:ofad359. [PMID: 37520420 PMCID: PMC10375426 DOI: 10.1093/ofid/ofad359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 07/11/2023] [Indexed: 08/01/2023] Open
Abstract
Background Cardiometabolic outcomes were investigated 3 years after switching to the 2-drug regimen dolutegravir/lamivudine (DTG/3TC) vs continuing 3-/4-drug tenofovir alafenamide (TAF)-based regimens in a multicenter phase 3 noninferiority study based on an open-label randomized design. Method Adults with virologically suppressed HIV-1 switched to once-daily DTG/3TC (n = 369) or continued TAF-based regimens (n = 372). Cardiometabolic health parameters were assessed through week 144 via mixed-model repeated measures or logistic regression analyses, adjusting for baseline variables. Results At week 144, 13% (42/316) of the DTG/3TC group and 12% (37/303) of the TAF-based regimen group had ≥10% weight gain from baseline (adjusted odds ratio, 1.11; 95% CI, .68-1.80). Adjusted change from baseline in serum leptin, a surrogate marker of adiposity, was similar between groups (treatment ratio, 1.00; 95% CI, .89-1.13). The lipid profile generally favored DTG/3TC in the baseline boosted subgroup. Adjusted odds revealed no clinically meaningful differences between groups: homeostatic model assessment of insulin resistance ≥2 (adjusted odds ratio, 0.79; 95% CI, .50-1.26), metabolic syndrome (International Diabetes Federation criteria, 0.99; .59-1.68), hepatic fibrosis (fibrosis-4 index score ≥1.45, 1.39; .63-3.06), and coronary artery disease risk (Framingham risk score ≥10%, 0.92; .56-1.49). Baseline variables and characteristics associated with odds of each cardiometabolic parameter outcome were consistent with known risk factors, including age, sex, race, and some disease characteristics. Conclusions Cardiometabolic health 3 years after switching to DTG/3TC was comparable to that for individuals continuing TAF-based regimens, further supporting DTG/3TC as a robust switch option with a stable metabolic profile. Trial registration ClinicalTrials.gov NCT03446573.
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Affiliation(s)
- Rachel L Batterham
- Department of Medicine, Centre for Obesity Research, University College London, London, UK
- National Institute of Health Research, University College London Hospitals Biomedical Research Centre, London, UK
| | - Nuria Espinosa
- Hospital Universitario Virgen del Rocío, Sevilla, Andalucía, Spain
| | - Christine Katlama
- Service de Maladies Infectieuses et Tropicales, AP-HP, Hôpital Pitié-Salpêtrière, INSERM–Sorbonne Universités, Paris, France
| | - Mehri McKellar
- Department of Medicine, School of Medicine, Duke University, Durham, North Carolina, USA
| | | | | | | | | | | | | | | | - Brian Wynne
- ViiV Healthcare, Durham, North Carolina, USA
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Bakker N, Hickey M, Shams R, Rivera CF, Vlahos J, Cense HA, Demirkiran A, Ramkhelawon B, Houdijk AP. Oral ω-3 PUFA supplementation modulates inflammation in adipose tissue depots in morbidly obese women: A randomized trial. Nutrition 2023; 111:112055. [PMID: 37182400 DOI: 10.1016/j.nut.2023.112055] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 03/16/2023] [Accepted: 04/04/2023] [Indexed: 05/16/2023]
Abstract
OBJECTIVES Obesity is characterized by local and systemic low-grade inflammatory responses. Adipose tissue macrophages (ATM) play decisive roles in inflammation, insulin signaling, and various metabolic dysfunctions. Diets enriched with ω-3 polyunsaturated fatty acids (PUFAs) have been shown to improve health and mitigate pathologic conditions. However, the effects of ω-3 PUFA on adipose tissue inflammation, ATM number, and phenotype are poorly defined in human obesity. The aim of this study was to examine differences in expression of metabolic-inflammatory markers in omental, mesenteric, and subcutaneous fat depots of obese women supplemented with ω-3 PUFAs for 4 wk compared with a low-calorie diet before bariatric surgery. METHODS In a randomized controlled trial, inflammatory markers in the abdominal adipose tissue and the systemic response in obese women were studied. Patients were treated with a 2-wk low-calorie diet (LCD) or a 4-wk ω-3 PUFA-enriched diet (920 mg eicosapentaenoic acid, 760 mg docosahexaenoic acid daily) before laparoscopic bypass surgery. Omental, mesenteric, and subcutaneous adipose tissue biopsies were collected during surgery and analyzed for quantity and phenotype of ATMs, and profiled for adipokines, cytokines, and signal transduction molecules. RESULTS The chronic inflammatory state characterized by ATM markers was mostly improved by ω-3 PUFAs in visceral adipose tissue. We observed a decreased expression of CD45, CCL2, and CD68, indicating a lower inflammatory state. In patients with type 2 diabetes, ω-3 PUFAs lowered the expression of Netrin-1. CONCLUSIONS Compared with an LCD, a diet enriched with ω-3 PUFAs influences the inflammatory state in different adipose tissue depots, by affecting markers of adipose tissue inflammation, macrophage phenotype, and retention. However, this was not reflected in clinical parameters such as insulin resistance and inflammatory cytokines. Subcutaneous adipose tissue and visceral adipose tissue have different responses to an LCD or a ω-3 PUFA-enriched diet. The presence of diabetes modifies the expression of inflammatory markers.
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Affiliation(s)
- Nathalie Bakker
- Northwest Clinics, Department of Surgery, Alkmaar, The Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Surgery, Amsterdam, The Netherlands; Red Cross Hospital, Department of Surgery, Beverwijk, The Netherlands
| | - Meave Hickey
- Division of Vascular and Endovascular Surgery, Department of Surgery and Cell Biology, New York University Langone Medical Center, New York, New York, United States
| | - Rebecca Shams
- Division of Vascular and Endovascular Surgery, Department of Surgery and Cell Biology, New York University Langone Medical Center, New York, New York, United States
| | - Cristobal F Rivera
- Division of Vascular and Endovascular Surgery, Department of Surgery and Cell Biology, New York University Langone Medical Center, New York, New York, United States
| | - John Vlahos
- Division of Vascular and Endovascular Surgery, Department of Surgery and Cell Biology, New York University Langone Medical Center, New York, New York, United States
| | - Huib A Cense
- Red Cross Hospital, Department of Surgery, Beverwijk, The Netherlands
| | - Ahmet Demirkiran
- Red Cross Hospital, Department of Surgery, Beverwijk, The Netherlands
| | - Bhama Ramkhelawon
- Division of Vascular and Endovascular Surgery, Department of Surgery and Cell Biology, New York University Langone Medical Center, New York, New York, United States
| | - Alexander Pj Houdijk
- Northwest Clinics, Department of Surgery, Alkmaar, The Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Surgery, Amsterdam, The Netherlands; Red Cross Hospital, Department of Surgery, Beverwijk, The Netherlands.
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Higham SM, Mendham AE, Rosenbaum S, Allen NG, Smith G, Stadnyk A, Duffield R. Effects of concurrent exercise training on body composition, systemic inflammation, and components of metabolic syndrome in inactive academics: a randomised controlled trial. Eur J Appl Physiol 2023; 123:809-820. [PMID: 36471186 DOI: 10.1007/s00421-022-05108-w] [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: 09/05/2022] [Accepted: 11/21/2022] [Indexed: 12/12/2022]
Abstract
PURPOSE Low physical activity in the academic workplace may increase the risk of cardiometabolic disease. This randomised controlled trial investigated the effect of 14 weeks of concurrent exercise training (CT) on components of metabolic syndrome, body composition, insulin resistance, and markers of systemic inflammation in inactive academics. METHODS 59 inactive academics were randomised into a CT (n = 29) or wait-list control group (n = 30). CT performed supervised training at an onsite facility 3 times per week for 14 weeks and cardiometabolic health was assessed pre- and post-intervention. Aerobic capacity was measured via a metabolic cart. Dual-Energy X-ray Absorptiometry measured fat mass, lean mass, and central adiposity. Fasting blood samples were analysed for interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), glucose, and lipid profile. RESULTS Following the intervention, there was a decrease in fat mass (mean ± SD; - 1.3 ± 1.4%), android fat mass (median (IQR); - 0.06 (0.27) kg), and visceral adipose tissue (median (IQR); - 66 (110) cm3) in CT, but not control. Lean mass (median (IQR); 1.35 (1.86) kg) and aerobic capacity (mean ± SD; 4.0 ± 3.1 mL/kg/min) increased in CT, but not in control. There were no changes in IL-6, TNF-a, HOMA-IR, glucose, or lipid profile in response to the intervention (P > 0.05). Changes in insulin resistance were positively associated with IL-6 in the control group only (coefficients [95%CI]; 5.957 [2.961, 8.953]). CONCLUSION Implementing combined aerobic and resistance exercise training programs in academic institutions may be an appropriate intervention to increase physical activity and reduce risk factors associated with cardiometabolic disease. TRIAL REGISTRATION The study was registered with the Australian New Zealand Clinical Trials Registry on the 23rd of April, 2019 (ACTRN12619000608167).
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Affiliation(s)
- Samuel M Higham
- School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney (UTS), Moore Park, NSW, Australia.
| | - Amy E Mendham
- South Africa Medical Research Council/WITS Developmental Pathways for Health Research Unit (DPHRU), Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Health Through Physical Activity, Lifestyle and Sport Research Centre (HPALS), FIMS International Collaborating Centre of Sports Medicine, Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Simon Rosenbaum
- School of Psychiatry, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Nicholas G Allen
- School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney (UTS), Moore Park, NSW, Australia
| | - Greg Smith
- Department of Pharmacology, School of Medical Sciences, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Antony Stadnyk
- School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney (UTS), Moore Park, NSW, Australia
| | - Rob Duffield
- School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney (UTS), Moore Park, NSW, Australia
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Kuker AP, Shen W, Jin Z, Chen J, Bruce JN, Freda PU. Long-term Outcome of Body Composition, Ectopic Lipid, and Insulin Resistance Changes With Surgical Treatment of Acromegaly. J Endocr Soc 2023; 7:bvad028. [PMID: 36922916 PMCID: PMC10008673 DOI: 10.1210/jendso/bvad028] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Indexed: 02/25/2023] Open
Abstract
Context Acromegaly presents a unique pattern of lower adiposity and insulin resistance in active disease but reduction in insulin resistance despite a rise in adiposity after surgery. Depot-specific adipose tissue masses and ectopic lipid are important predictors of insulin resistance in other populations, but whether they are in acromegaly is unknown. Long-term persistence of body composition changes after surgery is unknown. Objective To determine how depot-specific body composition and ectopic lipid relate to insulin resistance in active acromegaly and whether their changes with surgery are sustained long-term. Methods Cross-sectional study in patients with active acromegaly and longitudinal study in newly diagnosed patients studied before and in long-term follow-up, 3 (1-8) years (median, range), after surgery. Seventy-one patients with active acromegaly studied cross-sectionally and 28 with newly diagnosed acromegaly studied longitudinally. Main outcome measures were visceral (VAT), subcutaneous (SAT), and intermuscular adipose tissue masses by whole-body magnetic resonance imaging; intrahepatic lipid (IHL) by proton magnetic resonance spectroscopy; insulin resistance measures derived from fasting; and oral glucose tolerance test insulin and glucose levels. Results SAT and insulin-like growth factor 1 level, but not VAT or IHL, were independent predictors of insulin resistance in active acromegaly. VAT, SAT, and IHL gains were sustained long-term after surgery. VAT mass rise with surgery correlated inversely with rise in QUICKI while SAT rise correlated with fall in the Homeostatic Model Assessment score. Conclusion SAT and disease activity are important predictors of insulin resistance in active acromegaly. Adiposity gains are sustained long-term after surgical treatment and impact on the accompanying improvement in insulin resistance.
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Affiliation(s)
- Adriana P Kuker
- Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY 10032, USA
| | - Wei Shen
- Department of Pediatrics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY 10032, USA
| | - Zhezhen Jin
- Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Jun Chen
- Department of Pediatrics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY 10032, USA
| | - Jeffrey N Bruce
- Department of Neurosurgery, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, 10032, USA
| | - Pamela U Freda
- Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY 10032, USA
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Tamel Selvan K, Goon JA, Makpol S, Tan JK. Effects of Microalgae on Metabolic Syndrome. Antioxidants (Basel) 2023; 12:449. [PMID: 36830009 PMCID: PMC9952430 DOI: 10.3390/antiox12020449] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/01/2023] [Accepted: 02/06/2023] [Indexed: 02/15/2023] Open
Abstract
Metabolic syndrome (MetS) is a cluster of metabolic disturbances, including abdominal obesity, hypertension, hypertriglyceridemia, reduced high-density lipoprotein cholesterol (HDL-C) and hyperglycemia. Adopting a healthier lifestyle and multiple drug-based therapies are current ways to manage MetS, but they have limited efficacy, albeit the prevalence of MetS is rising. Microalgae is a part of the human diet and has also been consumed as a health supplement to improve insulin sensitivity, inflammation, and several components of MetS. These therapeutic effects of microalgae are attributed to the bioactive compounds present in them that exhibit antioxidant, anti-inflammatory, anti-obesity, antihypertensive, hepatoprotective and immunomodulatory effects. Therefore, studies investigating the potential of microalgae in alleviating MetS are becoming more popular, but a review on this topic remains scarce. In this review, we discuss the effects of microalgae, specifically on MetS, by reviewing the evidence from scientific literature covering in vitro and in vivo studies. In addition, we also discuss the underlying mechanisms that modulate the effects of microalgae on MetS, and the limitations and future perspectives of developing microalgae as a health supplement for MetS. Microalgae supplementation is becoming a viable approach in alleviating metabolic disturbances and as a unique addition to the management of MetS.
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Affiliation(s)
| | | | | | - Jen Kit Tan
- Department of Biochemistry, Faculty of Medicine, Universiti Kebangsaan Malaysia (UKM), Jalan Ya’acob Latiff, Bandar Tun Razak, Cheras, Kuala Lumpur 56000, Malaysia
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Fully automated CT-based adiposity assessment: comparison of the L1 and L3 vertebral levels for opportunistic prediction. Abdom Radiol (NY) 2023; 48:787-795. [PMID: 36369528 DOI: 10.1007/s00261-022-03728-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 10/23/2022] [Accepted: 10/25/2022] [Indexed: 11/13/2022]
Abstract
PURPOSE The purpose of this study is to compare fully automated CT-based measures of adipose tissue at the L1 level versus the standard L3 level for predicting mortality, which would allow for use at both chest (L1) and abdominal (L3) CT. METHODS This retrospective study of 9066 asymptomatic adults (mean age, 57.1 ± 7.8 [SD] years; 4020 men, 5046 women) undergoing unenhanced low-dose abdominal CT for colorectal cancer screening. A previously validated artificial intelligence (AI) tool was used to assess cross-sectional visceral and subcutaneous adipose tissue areas (SAT and VAT), as well as their ratio (VSR) at the L1 and L3 levels. Post-CT survival prediction was compared using area under the ROC curve (ROC AUC) and hazard ratios (HRs). RESULTS Median clinical follow-up interval after CT was 8.8 years (interquartile range, 5.2-11.6 years), during which 5.9% died (532/9066). No significant difference (p > 0.05) for mortality was observed between L1 and L3 VAT and SAT at 10-year ROC AUC. However, L3 measures were significantly better for VSR at 10-year AUC (p < 0.001). HRs comparing worst-to-best quartiles for mortality at L1 vs. L3 were 2.12 (95% CI, 1.65-2.72) and 2.22 (1.74-2.83) for VAT; 1.20 (0.95-1.52) and 1.16 (0.92-1.46) for SAT; and 2.26 (1.7-2.93) and 3.05 (2.32-4.01) for VSR. In women, the corresponding HRs for VSR were 2.58 (1.80-3.69) (L1) and 4.49 (2.98-6.78) (L3). CONCLUSION Automated CT-based measures of visceral fat (VAT and VSR) at L1 are predictive of survival, although overall measures of adiposity at L1 level are somewhat inferior to the standard L3-level measures. Utilizing predictive L1-level fat measures could expand opportunistic screening to chest CT imaging.
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Proulx F, Ostinelli G, Biertho L, Tchernof A. Pathophysiology of the Cardiometabolic Alterations in Obesity. DUODENAL SWITCH AND ITS DERIVATIVES IN BARIATRIC AND METABOLIC SURGERY 2023:69-83. [DOI: 10.1007/978-3-031-25828-2_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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Liu CA, Liu T, Ruan GT, Ge YZ, Song MM, Xie HL, Lin SQ, Deng L, Zhang HY, Zhang Q, Shi HP. The relationship between fat distribution in central region and comorbidities in obese people: Based on NHANES 2011-2018. Front Endocrinol (Lausanne) 2023; 14:1114963. [PMID: 36843589 PMCID: PMC9945539 DOI: 10.3389/fendo.2023.1114963] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 01/27/2023] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND Central obesity is closely related to comorbidity, while the relationship between fat accumulation pattern and abnormal distribution in different parts of the central region of obese people and comorbidity is not clear. This study aimed to explore the relationship between fat distribution in central region and comorbidity among obese participants. METHODS We used observational data of NHANES 2011-2018 to identify 12 obesity-related comorbidities in 7 categories based on questionnaire responses from participants. Fat distribution is expressed by fat ratio, including Android, Gynoid, visceral, subcutaneous, visceral/subcutaneous (V/S), and total abdominal fat ratio. Logistic regression analysis were utilized to elucidate the association between fat distribution and comorbidity. RESULTS The comorbidity rate was about 54.1% among 4899 obese participants (weighted 60,180,984, 41.35 ± 11.16 years, 57.5% female). There were differences in fat distribution across the sexes and ages. Among men, Android fat ratio (OR, 4.21, 95% CI, 1.54-11.50, Ptrend=0.007), visceral fat ratio (OR, 2.16, 95% CI, 1.42-3.29, Ptrend<0.001) and V/S (OR, 2.07, 95% CI, 1.43-2.99, Ptrend<0.001) were independent risk factors for comorbidity. Among these, there was a "J" shape correlation between Android fat ratio and comorbidity risk, while visceral fat ratio and V/S exhibited linear relationships with comorbidity risk. The Gynoid fat ratio (OR, 0.87, 95%CI, 0.80-0.95, Ptrend=0.001) and subcutaneous fat ratio (OR, 0.81, 95%CI, 0.67-0.98, Ptrend=0.016) both performed a protective role in the risk of comorbidity. In women, Android fat ratio (OR, 4.65, 95% CI, 2.11-10.24, Ptrend=0.020), visceral fat ratio (OR, 1.83, 95% CI, 1.31-2.56, Ptrend=0.001), and V/S (OR, 1.80, 95% CI, 1.32-2.45, Ptrend=0.020) were also independent risk factors for comorbidity, with a dose-response relationship similar to that of men. Only the Gynoid fat ratio (OR, 0.93, 95% CI, 0.87-0.99, Ptrend=0.016) had a protective effect on female comorbidity. This association was also seen in obese participants of different age groups, comorbidity numbers, and comorbidity types, although it was more statistically significant in older, complex comorbidity, cardiovascular, cerebrovascular, and metabolic diseases. CONCLUSIONS In the obese population, there were strong correlation between fat distribution in central region and comorbidity, which was affected by sex, age, number of comorbidities, and type of comorbidity.
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Affiliation(s)
- Chen-An Liu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Li Deng
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Qi Zhang
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
- Department of Colorectal Surgery, The Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
- *Correspondence: Han-Ping Shi,
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Han L, Deng C, Zhao R, Wan Q, Zhang X, Wang X, Chen Y. Excess visceral fat area as an independent risk factor for early postoperative complications in patients with obesity undergoing bariatric surgery. Front Endocrinol (Lausanne) 2023; 14:1072540. [PMID: 36843597 PMCID: PMC9947141 DOI: 10.3389/fendo.2023.1072540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 01/27/2023] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND Few studies have investigated the correlation between visceral fat area (VFA) and early postoperative complications in patients with obesity undergoing bariatric surgery. This study aimed to investigate the relationship between VFA and early postoperative complications in patients with obesity following bariatric surgery. METHODS The study was conducted at a tertiary university hospital. Patients with obesity who underwent laparoscopic sleeve gastrectomy between June 2016 and October 2020 were divided into two groups based on umbilical level VFA: high-VFA group (umbilical level VFA ≥ 100 cm2) and low-VFA group (umbilical level VFA < 100 cm2). Baseline characteristics, intraoperative and postoperative conditions, and early postoperative complications were compared between the groups. The primary outcome was early postoperative complications, and the secondary outcome was postoperative hospital stay. RESULTS The study included 152 patients, with 82 patients in the low-VFA group and 70 patients in the high-VFA group. The high-VFA group had a higher incidence of early postoperative complications (14.29% vs. 2.44%, P = 0.013) than the low-VFA group. The length of postoperative hospital stay did not differ significantly between the groups. CONCLUSIONS Our study suggests that excess VFA is an independent risk factor for early postoperative complications following bariatric surgery, and VFA may be used in preoperative evaluations.
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Affiliation(s)
- Liping Han
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
| | - Chaoyi Deng
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Anesthesia and Critical Care Medicine, National-Local Joint Engineering Research Center of Translational Medicine of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
| | - Rui Zhao
- Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Qianyi Wan
- Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaofang Zhang
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
| | - Xiao Wang
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Anesthesia and Critical Care Medicine, National-Local Joint Engineering Research Center of Translational Medicine of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Xiao Wang, ; Yi Chen,
| | - Yi Chen
- Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Xiao Wang, ; Yi Chen,
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Moriceau MA, Cano-Sancho G, Kim M, Coumoul X, Emond C, Arrebola JP, Antignac JP, Audouze K, Rousselle C. Partitioning of Persistent Organic Pollutants between Adipose Tissue and Serum in Human Studies. TOXICS 2022; 11:toxics11010041. [PMID: 36668767 PMCID: PMC9866963 DOI: 10.3390/toxics11010041] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/23/2022] [Accepted: 12/27/2022] [Indexed: 06/01/2023]
Abstract
Blood is the most widely used matrix for biomonitoring of persistent organic pollutants (POPs). It is assumed that POPs are homogenously distributed within body lipids at steady state; however, the variability underlying the partitioning of POPs between fat compartments is poorly understood. Hence, the objective of this study was to review the state of the science about the relationships of POPs between adipose tissue and serum in humans. We conducted a narrative literature review of human observational studies reporting concentrations of POPs in paired samples of adipose tissue with other lipid-based compartments (e.g., serum lipids). The searches were conducted in SCOPUS and PUBMED. A meta-regression was performed to identify factors responsible for variability. All included studies reported high variability in the partition coefficients of POPs, mainly between adipose tissue and serum. The number of halogen atoms was the physicochemical variable most strongly and positively associated with the partition ratios, whereas body mass index was the main biological factor positively and significantly associated. To conclude, although this study provides a better understanding of partitioning of POPs to refine physiologically based pharmacokinetic and epidemiological models, further research is still needed to determine other key factors involved in the partitioning of POPs.
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Affiliation(s)
| | | | - MinJi Kim
- INSERM UMR-S 1124, Université Paris Sorbonne Nord, 93017 Bobigny, France
| | - Xavier Coumoul
- INSERM UMR-S 1124, Université Paris Cité, 45 rue des Saints-Pères, 75006 Paris, France
| | - Claude Emond
- School of Public Health, Department of Environmental and Occupational Health, University of Montreal, Montreal, QC H3C 3J7, Canada
| | - Juan-Pedro Arrebola
- Department of Preventive Medicine and Public Health, Universidad de Granada, Campus de Cartuja s/n, 18071 Granada, Spain
- Instituto de Investigación Biosanitaria (ibs.GRANADA), Avda. de Madrid, 15. Pabellón de Consultas Externas 2, 2a Planta, 18012 Granada, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | | | - Karine Audouze
- INSERM UMR-S 1124, Université Paris Cité, 45 rue des Saints-Pères, 75006 Paris, France
| | - Christophe Rousselle
- ANSES, European and International Affairs Department, 14 rue Pierre et Marie Curie, 94701 Maisons-Alfort, France
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Pan R, Zhang Y, Wang R, Xu Y, Ji H, Zhao Y. Effect of SGLT-2 inhibitors on body composition in patients with type 2 diabetes mellitus: A meta-analysis of randomized controlled trials. PLoS One 2022; 17:e0279889. [PMID: 36584211 PMCID: PMC9803203 DOI: 10.1371/journal.pone.0279889] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 12/15/2022] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVE Type 2 diabetes mellitus(T2DM) is closely related to sarcopenic obesity(SO). Body composition measurement including body weight, body mass index, waist circumference, percentage body fat, fat mass, muscle mass, visceral adipose tissue and subcutaneus adipose tissue, plays a key role in evaluating T2DM and SO. The weight reduction effect of sodium-glucose cotransporter 2(SGLT-2) inhibitors has been demonstrated. However, there are warnings that SGLT-2 inhibitors should be used with caution because they may increase the risk of sarcopenia. The effect of SGLT-2 inhibitors on body composition in T2DM is inconclusive. In this work, a meta-analysis of randomized controlled trials was conducted to evaluate the effect of SGLT-2 inhibitors on body composition in T2DM. METHODS PubMed, the Cochrane Library, EMbase and Web of Science databases were searched by computer. All statistical analyses were carried out with Review Manager version 5. 3. Results were compared by weight mean difference(WMD), with 95% confidence intervals(CI) for continuous outcomes. A random effects model was applied regardless of heterogeneity. The I2 statistic was applied to evaluate the heterogeneity of studies. Publication bias was assessed using Funnel plots. RESULTS 18 studies with 1430 participants were eligible for the meta-analysis. SGLT-2 inhibitors significantly reduced body weight(WMD:-2. 73kg, 95%CI: -3. 32 to -2. 13, p<0. 00001), body mass index(WMD:-1. 13kg/m2, 95%CI: -1. 77 to -0. 50, p = 0. 0005), waist circumference(WMD:-2. 20cm, 95%CI: -3. 81 to -0. 58, p = 0. 008), visceral fat area(MD:-14. 79cm2, 95%CI: -24. 65 to -4. 93, p = 0. 003), subcutaneous fat area(WMD:-23. 27cm2, 95% CI:-46. 44 to -0. 11, P = 0. 05), fat mass(WMD:-1. 16kg, 95%CI: -2. 01 to -0. 31, p = 0. 008), percentage body fat(WMD:-1. 50%, 95%CI:-2. 12 to -0. 87, P<0. 00001), lean mass(WMD:-0. 76kg, 95%CI:-1. 53 to 0. 01, P = 0. 05) and skeletal muscle mass(WMD:-1. 01kg, 95%CI:-1. 91 to -0. 11, P = 0. 03). CONCLUSION SGLT-2 inhibitors improve body composition in T2DM including body weight, body mass index, waist circumference, visceral fat area, subcutaneous fat area, percentage body fat and fat mass reduction, but cause adverse effects of reducing muscle mass. Therefore, until more evidence is obtained to support that SGLT-2 inhibitors increase the risk of sarcopenia, not only the benefit on body composition, but also the adverse effect of the reduction in muscle mass by SGLT-2 inhibitors in T2DM should be considered.
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Affiliation(s)
- Runzhou Pan
- Department of Endocrinology, Cangzhou Central Hospital, Cangzhou, Hebei Province, China
| | - Yan Zhang
- Department of Endocrinology, Cangzhou Central Hospital, Cangzhou, Hebei Province, China
| | - Rongrong Wang
- Department of Endocrinology, Cangzhou Central Hospital, Cangzhou, Hebei Province, China
| | - Yao Xu
- Department of Endocrinology, Cangzhou Central Hospital, Cangzhou, Hebei Province, China
| | - Hong Ji
- Department of Endocrinology, Cangzhou Central Hospital, Cangzhou, Hebei Province, China
| | - Yongcai Zhao
- Department of Endocrinology, Cangzhou Central Hospital, Cangzhou, Hebei Province, China
- * E-mail:
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Hwang SE, Kwon H, Yun JM, Min K, Kim HJ, Park JH. Association between long-term air pollution exposure and insulin resistance independent of abdominal adiposity in Korean adults. Sci Rep 2022; 12:19147. [PMID: 36351977 PMCID: PMC9646867 DOI: 10.1038/s41598-022-23324-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 10/29/2022] [Indexed: 11/10/2022] Open
Abstract
Significant associations between air pollution (AP) and insulin resistance (IR) have been reported in limited populations or certain patient groups, but few studies have addressed this association in the general population, especially in Asians. Although abdominal fat is a major contributor to IR, previous studies have not fully controlled for its effect in the association between AP and IR. We investigated the association between exposure to AP and IR in Korean adults in the general population and whether this association is maintained even after controlling for the effects of abdominal fat, particularly visceral fat. This was a cross-sectional study. Data were obtained for Korean adults who participated in screening health checkups at Seoul National University Health Examination Center from 2006 to 2014. A total of 4251 men and women aged 22-84 years were included. IR was represented by the homeostasis model assessment of insulin resistance (HOMA-IR). Adiposity traits such as visceral adipose tissue (VAT) and subcutaneous adipose tissue areas were measured by computed tomography. We assessed the annual mean concentrations of air pollutants, including particulate matter with an aerodynamic diameter of 10 µm or less (PM10), nitrogen dioxide, sulfur dioxide, and carbon monoxide. HOMA-IR was significantly associated with increased annual mean exposure to PM10 in both men (β = 0.15; 95% CI 0.09, 0.22) and women (β = 0.16; 95% CI 0.09, 0.23), and these associations were maintained even after controlling for VAT area (both p < 0.05). The adjusted mean HOMA-IR increased gradually with the level of long-term PM10 exposure (low, intermediate, and high exposure) (all p for trend < 0.001) in the subgroup analysis. After adjusting for possible confounding factors, including VAT area, the annual mean exposure to PM10 was significantly associated with the presence of IR in both men (OR 1.18; 95% CI 1.03, 1.35) and women (OR 1.44; 95% CI 1.18, 1.76). Other air pollutants, such as NO2, SO2 and CO, did not show any significant associations with HOMA-IR or the presence of IR. Persistent exposure to PM10 is the main independent risk factor for IR and exhibits a dose-dependent association regardless of visceral fatness in both men and women.
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Affiliation(s)
- Seo Eun Hwang
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 103 Daehakro, Yeongun-Dong, Jongno-Gu, Seoul, 03080 South Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Hyuktae Kwon
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 103 Daehakro, Yeongun-Dong, Jongno-Gu, Seoul, 03080 South Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Jae Moon Yun
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 103 Daehakro, Yeongun-Dong, Jongno-Gu, Seoul, 03080 South Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Kyungha Min
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 103 Daehakro, Yeongun-Dong, Jongno-Gu, Seoul, 03080 South Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Hyun-Jin Kim
- grid.410914.90000 0004 0628 9810Big Data Center, National Cancer Control Institute, National Cancer Center, 323 Ilsan-Ro, Ilsandong-Gu, Goyang-Si, Gyeonggi-Do 10408 South Korea
| | - Jin-Ho Park
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 103 Daehakro, Yeongun-Dong, Jongno-Gu, Seoul, 03080 South Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University College of Medicine, Seoul, South Korea
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Equine insulin dysregulation causes tissue specific alterations of proinflammatory cytokines and acute phase proteins in a NF-kB independent manner. Vet Immunol Immunopathol 2022; 253:110500. [DOI: 10.1016/j.vetimm.2022.110500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 10/01/2022] [Accepted: 10/05/2022] [Indexed: 11/23/2022]
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Wang R, Gu Z, Wang Y, Yin X, Liu W, Chen W, Huang Y, Wu J, Yang S, Feng L, Zhou L, Li L, Di W, Pu X, Huang L, Qian K. A “One‐Stop Shop” Decision Tree for Diagnosing and Phenotyping Polycystic Ovarian Syndrome on Serum Metabolic Fingerprints. ADVANCED FUNCTIONAL MATERIALS 2022; 32. [DOI: 10.1002/adfm.202206670] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Indexed: 01/06/2025]
Abstract
AbstractPolycystic ovary syndrome (PCOS) is a common endocrine disease regulated by metabolic disorders, the effective intervention of which depends on diverse phenotypes (e.g., insulin resistance). Serum metabolic fingerprint (SMF) holds promise in characterizing the pathogenesis stress related to diseases; yet, PCOS diagnosis and phenotyping are time‐consuming and challenging due to the lack of an integrated metabolic tool. Here, a nanoparticle‐enhanced laser desorption/ionization mass spectrometry platform is introduced for one‐time serum metabolic fingerprinting and to identify the metabolic heterogeneity associated with obesity in PCOS patients. A decision tree based on the acquired SMFs is constructed, and real‐world simulations on independent internal and external cohorts are performed. The decision tree yields the area under the receiver operating characteristic curves (AUC) of 0.967 for PCOS diagnosis and AUC of 0.898 for phenotyping, respectively. The technical robustness of the “one‐stop shop” decision tree across laboratories is validated for clinical utility. The decision tree aims to improve PCOS management in comparison to clinical assessment, leading to a potential reduction in multiple blood tests and physician workload.
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Affiliation(s)
- Ruimin Wang
- Department of Clinical Laboratory Medicine Shanghai Chest Hospital Shanghai Jiao Tong University Shanghai 200030 P. R. China
- Shanghai Institute of Thoracic Oncology Shanghai Chest Hospital Shanghai Jiao Tong University Shanghai 200030 P. R. China
- State Key Laboratory for Oncogenes and Related Genes School of Biomedical Engineering Institute of Medical Robotics and Med‐X Research Institute Shanghai Jiao Tong University Shanghai 200030 P. R. China
| | - Zhuowei Gu
- Shanghai Key Laboratory of Gynecologic Oncology Renji Hospital School of Medicine Shanghai Jiaotong University Shanghai 200127 P. R. China
- Department of Obstetrics and Gynecology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai 200127 P. R. China
| | - Yuan Wang
- Center for Reproductive Medicine Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai P. R. China
- Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics Shanghai P. R. China
| | - Xia Yin
- Shanghai Key Laboratory of Gynecologic Oncology Renji Hospital School of Medicine Shanghai Jiaotong University Shanghai 200127 P. R. China
- Department of Obstetrics and Gynecology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai 200127 P. R. China
| | - Wanshan Liu
- State Key Laboratory for Oncogenes and Related Genes School of Biomedical Engineering Institute of Medical Robotics and Med‐X Research Institute Shanghai Jiao Tong University Shanghai 200030 P. R. China
| | - Wei Chen
- State Key Laboratory for Oncogenes and Related Genes School of Biomedical Engineering Institute of Medical Robotics and Med‐X Research Institute Shanghai Jiao Tong University Shanghai 200030 P. R. China
| | - Yida Huang
- State Key Laboratory for Oncogenes and Related Genes School of Biomedical Engineering Institute of Medical Robotics and Med‐X Research Institute Shanghai Jiao Tong University Shanghai 200030 P. R. China
| | - Jiao Wu
- State Key Laboratory for Oncogenes and Related Genes School of Biomedical Engineering Institute of Medical Robotics and Med‐X Research Institute Shanghai Jiao Tong University Shanghai 200030 P. R. China
| | - Shouzhi Yang
- State Key Laboratory for Oncogenes and Related Genes School of Biomedical Engineering Institute of Medical Robotics and Med‐X Research Institute Shanghai Jiao Tong University Shanghai 200030 P. R. China
| | - Lei Feng
- Instrumental Analysis Center Shanghai Jiao Tong University No. 800 Dongchuan Road Shanghai 201100 P. R. China
| | - Li Zhou
- Beijing Health Biotech Co. Ltd. No. 7, Science Park Road, Changping District Beijing P. R. China
| | - Lin Li
- Beijing Health Biotech Co. Ltd. No. 7, Science Park Road, Changping District Beijing P. R. China
| | - Wen Di
- Shanghai Key Laboratory of Gynecologic Oncology Renji Hospital School of Medicine Shanghai Jiaotong University Shanghai 200127 P. R. China
- Department of Obstetrics and Gynecology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai 200127 P. R. China
| | - Xiaowen Pu
- Shanghai First Maternity and Infant Hospital Tongji University School of Medicine Shanghai 201204 P. R. China
| | - Lin Huang
- Department of Clinical Laboratory Medicine Shanghai Chest Hospital Shanghai Jiao Tong University Shanghai 200030 P. R. China
- Shanghai Institute of Thoracic Oncology Shanghai Chest Hospital Shanghai Jiao Tong University Shanghai 200030 P. R. China
| | - Kun Qian
- State Key Laboratory for Oncogenes and Related Genes School of Biomedical Engineering Institute of Medical Robotics and Med‐X Research Institute Shanghai Jiao Tong University Shanghai 200030 P. R. China
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