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Wu T, Wang Y, Xia Y, Sun C, Ji J, Guo H, Zhao R, Li J, Tao X, Gu Z. Causal association of basal metabolic rate on systemic sclerosis: a bidirectional mendelian randomization study. Arch Dermatol Res 2024; 316:553. [PMID: 39172247 DOI: 10.1007/s00403-024-03248-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Revised: 07/12/2024] [Accepted: 07/24/2024] [Indexed: 08/23/2024]
Abstract
Prior evidence suggests that altered energy metabolism plays a crucial role in the development of fibrotic diseases. Recent research indicates that systemic sclerosis (SSc) patients have potentially benefited from energy management, implying that basal metabolic rate (BMR), a vital energy metabolic parameter, may be related to SSc. However, the causal effect of BMR on SSc remains unknown. Thus, we aimed to elucidate the causal links between BMR and SSc. Based on summary statistics from the genome-wide association studies (GWAS) database, two-sample Mendelian randomization (MR) was applied to explore causality between BMR and SSc. The causal relationships were assessed employing inverse variance weighted (IVW), MR-Egger, and weighted median (WM) methods. Meanwhile, several sensitivity analyses were carried out to ensure the robustness of the findings. There was an underlying genetic association of BMR on SSc (OR = 0.505, 95% CI: 0.272-0.936, P = 0.030). Moreover, no significant causal effect between SSc and BMR was observed in the reverse MR analysis (OR = 0.999, 95% CI: 0.997-1.001, P = 0.292). According to the sensitivity analysis, the presence of heterogeneity and genetic pleiotropy was not detected. Our findings, derived from a genetic perspective, provide robust evidence of a causal connection between BMR and SSc. To verify these results and clarify the potential mechanisms, further research is warranted.
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Affiliation(s)
- Teng Wu
- Dalian Medical University, Dalian, China
- Department of Rheumatology, Affiliated Hospital of Nantong University, Nantong, China
| | - Yunan Wang
- Department of Rheumatology, Affiliated Hospital of Nantong University, Nantong, China
| | - Yunfei Xia
- Department of Rheumatology, Affiliated Hospital of Nantong University, Nantong, China
| | - Chi Sun
- Department of Geriatrics, Affiliated Hospital of Nantong University, Nantong, China
| | - Juan Ji
- Department of Rheumatology, Affiliated Hospital of Nantong University, Nantong, China
| | - Hua Guo
- Dalian Medical University, Dalian, China
- Department of Rheumatology, Affiliated Hospital of Nantong University, Nantong, China
| | - Rui Zhao
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, China
| | - Jing Li
- Department of Rheumatology, Affiliated Hospital of Nantong University, Nantong, China
| | - Xinyu Tao
- Department of Rheumatology, Affiliated Hospital of Nantong University, Nantong, China
| | - Zhifeng Gu
- Dalian Medical University, Dalian, China.
- Department of Rheumatology, Affiliated Hospital of Nantong University, Nantong, China.
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Ellouze I, Korlagunta K, Lucas EA, Payton M, Singar S, Arjmandi BH. The Effects of Flaxseed Consumption on Glycemic Control in Native American Postmenopausal Women with Hyperglycemia and Hyperlipidemia. Healthcare (Basel) 2024; 12:1392. [PMID: 39057535 PMCID: PMC11276366 DOI: 10.3390/healthcare12141392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/30/2024] [Accepted: 07/09/2024] [Indexed: 07/28/2024] Open
Abstract
Glucose control in postmenopausal women is influenced by many factors, such as hormones, lifestyle variables, and genetics. Limited data exist on the effect of whole flaxseed on glucose status in postmenopausal Native American women. The aim of this study was to investigate the glucose management effect of a flaxseed dietary intervention on postmenopausal Native American women. In this study, 55 Native American postmenopausal women (aged 47-63 years) with borderline hyperglycemia (>100 and <126 mg/dL) and mild to moderate hypercholestorolemia (≥200 to ≤380 mmol/L), who were not on hormone replacement therapy, were enrolled. Participants were randomly assigned to one of the three dietary regimens (control, flaxseed, and flaxseed + fiber) for three months, receiving interventions in the form of bread, muffins, and flaxseed powder. Despite daily consumption of flaxseed across diverse food formats, no significant changes in glucose (p = 0.3, p = 0.2), insulin levels (p = 0.59, p = 0.9), or HOMA-IR (p = 0.84, p = 0.66) were observed compared to their respective baseline values within the flaxseed and flaxseed + fiber groups, respectively. Conversely, the control group showed a significant rise in final glucose values from baseline (p = 0.01). However, the incorporation of ground flaxseed into low-glycemic foods holds potential for beneficial effects through maintaining glucose status among postmenopausal Native American women. This research provides critical insights into the effects of flaxseed, emphasizing the need for continued exploration to understand its role in supporting glucose management among postmenopausal Native American women. Further exploration is required to investigate the potential long-term impact and the use of flaxseed in managing glucose levels in this demographic.
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Affiliation(s)
- Ines Ellouze
- Functional Physiology and Bio-Resources Valorization Laboratory, Higher Institute of Biotechnology of Beja, Jendouba University, Beja 9000, Tunisia
| | | | - Edralin A. Lucas
- Nutritional Sciences, College of Education and Human Sciences, Oklahoma State University, Stillwater, OK 74078, USA
| | - Mark Payton
- Biomedical Sciences, Rocky Vista University, Englewood, CO 80112, USA;
| | - Saiful Singar
- Nutrition, Food, and Exercise Sciences, College of Human Sciences, Florida State University, Tallahassee, FL 32306, USA
| | - Bahram H. Arjmandi
- Nutrition, Food, and Exercise Sciences, College of Human Sciences, Florida State University, Tallahassee, FL 32306, USA
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Nematollahi MA, Askarinejad A, Asadollahi A, Bazrafshan M, Sarejloo S, Moghadami M, Sasannia S, Farjam M, Homayounfar R, Pezeshki B, Amini M, Roshanzamir M, Alizadehsani R, Bazrafshan H, Bazrafshan drissi H, Tan RS, Acharya UR, Islam MSS. A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning. J Diabetes Metab Disord 2024; 23:773-781. [PMID: 38932891 PMCID: PMC11196543 DOI: 10.1007/s40200-023-01350-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/08/2023] [Indexed: 06/28/2024]
Abstract
Purpose We applied machine learning to study associations between regional body fat distribution and diabetes mellitus in a population of community adults in order to investigate the predictive capability. We retrospectively analyzed a subset of data from the published Fasa cohort study using individual standard classifiers as well as ensemble learning algorithms. Methods We measured segmental body composition using the Tanita Analyzer BC-418 MA (Tanita Corp, Japan). The following features were input to our machine learning model: fat-free mass, fat percentage, basal metabolic rate, total body water, right arm fat-free mass, right leg fat-free mass, trunk fat-free mass, trunk fat percentage, sex, age, right leg fat percentage, and right arm fat percentage. We performed classification into diabetes vs. no diabetes classes using linear support vector machine, decision tree, stochastic gradient descent, logistic regression, Gaussian naïve Bayes, k-nearest neighbors (k = 3 and k = 4), and multi-layer perceptron, as well as ensemble learning using random forest, gradient boosting, adaptive boosting, XGBoost, and ensemble voting classifiers with Top3 and Top4 algorithms. 4661 subjects (mean age 47.64 ± 9.37 years, range 35 to 70 years; 2155 male, 2506 female) were analyzed and stratified into 571 and 4090 subjects with and without a self-declared history of diabetes, respectively. Results Age, fat mass, and fat percentages in the legs, arms, and trunk were positively associated with diabetes; fat-free mass in the legs, arms, and trunk, were negatively associated. Using XGBoost, our model attained the best excellent accuracy, precision, recall, and F1-score of 89.96%, 90.20%, 89.65%, and 89.91%, respectively. Conclusions Our machine learning model showed that regional body fat compositions were predictive of diabetes status.
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Affiliation(s)
| | - Amir Askarinejad
- Student research committee, Shiraz University of Medical Science, Shiraz, Iran
| | - Arefeh Asadollahi
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
| | - Mehdi Bazrafshan
- Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz, Zand St, PO Box: 71348-14336, Shiraz, Iran
| | - Shirin Sarejloo
- Cardiology research Fellow at Northern Health, Northern Hospital, Melbourne, VIC Australia
| | - Mana Moghadami
- Student research committee, Shiraz University of Medical Science, Shiraz, Iran
| | - Sarvin Sasannia
- School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mojtaba Farjam
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
| | - Reza Homayounfar
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
| | - Babak Pezeshki
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
| | - Mitra Amini
- Clinical Education Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohamad Roshanzamir
- Department of Computer Engineering, Faculty of Engineering, Fasa University, Fasa, 74617-81189 Iran
| | - Roohallah Alizadehsani
- Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Geelong, Australia
| | - Hanieh Bazrafshan
- Department of Neurology, Clinical Neurology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Hamed Bazrafshan drissi
- Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz, Zand St, PO Box: 71348-14336, Shiraz, Iran
| | - Ru-San Tan
- National Heart Centre Singapore, Singapore, Singapore
| | - U. Rajendra Acharya
- School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, Australia
| | - Mohammed Shariful Sheikh Islam
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC Australia
- Cardiovascular Division, The George Institute for Global Health, Newtown, Australia
- Sydney Medical School, University of Sydney, Camperdown, Australia
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4
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Spoladore D, Tosi M, Lorenzini EC. Ontology-based decision support systems for diabetes nutrition therapy: A systematic literature review. Artif Intell Med 2024; 151:102859. [PMID: 38564880 DOI: 10.1016/j.artmed.2024.102859] [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: 09/12/2023] [Revised: 02/05/2024] [Accepted: 03/25/2024] [Indexed: 04/04/2024]
Abstract
Diabetes is a non-communicable disease that has reached epidemic proportions, affecting 537 million people globally. Artificial Intelligence can support patients or clinicians in diabetes nutrition therapy - the first medical therapy in most cases of Type 1 and Type 2 diabetes. In particular, ontology-based recommender and decision support systems can deliver a computable representation of experts' knowledge, thus delivering patient-tailored nutritional recommendations or supporting clinical personnel in identifying the most suitable diet. This work proposes a systematic literature review of the domain ontologies describing diabetes in such systems, identifying their underlying conceptualizations, the users targeted by the systems, the type(s) of diabetes tackled, and the nutritional recommendations provided. This review also delves into the structure of the domain ontologies, highlighting several aspects that may hinder (or foster) their adoption in recommender and decision support systems for diabetes nutrition therapy. The results of this review process allow to underline how recommendations are formulated and the role of clinical experts in developing domain ontologies, outlining the research trends characterizing this research area. The results also allow for identifying research directions that can foster a preeminent role for clinical experts and clinical guidelines in a cooperative effort to make ontologies more interoperable - thus enabling them to play a significant role in the decision-making processes about diabetes nutrition therapy.
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Affiliation(s)
- Daniele Spoladore
- Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing - National Research Council, (CNR-STIIMA), Lecco, Italy.
| | - Martina Tosi
- Department of Health Sciences, University of Milan, 20142 Milan, Italy; Institute of Agricultural Biology and Biotechnology - National Research Council (CNR-IBBA), Milan, Italy.
| | - Erna Cecilia Lorenzini
- Department of Biomedical Sciences for Health, University of Milan, I-20133 Milan, Italy.
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5
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Lillegard K, Del Castillo JA, Silver HJ. Poorly controlled glycemia and worse beta cell function associate with higher resting and total energy expenditure in adults with obesity and type 2 diabetes: A doubly labeled water study. Clin Nutr 2024; 43:729-738. [PMID: 38320464 DOI: 10.1016/j.clnu.2024.01.011] [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: 09/22/2023] [Revised: 01/10/2024] [Accepted: 01/13/2024] [Indexed: 02/08/2024]
Abstract
BACKGROUND Some studies comparing persons with and without type 2 diabetes (T2DM) show no difference in resting energy expenditure (REE). However, the degree of glycemic control may be a crucial factor in determining energy requirements. Few studies have employed the doubly labeled water (DLW) method in persons with T2DM to objectively measure daily energy expenditure. AIMS To determine relationships between glycemia, body composition, and energy expenditure in adults with obesity and T2DM. We hypothesized that worse hyperglycemia, insulin resistance, and beta cell function would associate with higher resting and total energy expenditure (TEE). METHODS Two cohorts age 31-50 years were included: 78 with obesity and T2DM, 19 with normal weight and no chronic disease. Baseline data from clinical biomarkers, intravenous glucose tolerance tests, DXA and MRI for body composition, and dietary intakes were used in multivariable regression models to predict REE and TEE. Additionally, comparisons were made by categorizing participants as having controlled or uncontrolled glycemia based on glucose levels ≥175 mg/dL. RESULTS REE was higher in participants with T2DM by 534.08 ± 74.35 kcal/d (p < 0.001). Higher fasting glucose and HbA1C levels associated with higher TEE. Abdominal SAT and VAT were also predictors in regression models accounting for 76 % of the variance in REE and 89 % of TEE. Participants with uncontrolled glycemia had 22 % higher adipose/lean ratio, two-fold higher VAT/SAT ratio, 21 % higher HOMA-IR score, and worse beta cell function (mean difference in HOMA2-%β of 74.09 ± 14.01, p < 0.001) than those with controlled glycemia. Both REE and TEE were significantly higher in uncontrolled glycemia, difference in REE of 154.17 ± 96.28 kcals/day (p = 0.04) and difference in TEE of 480.64 ± 215.45 kcals/day (p = 0.03). CONCLUSIONS Poor beta cell function and uncontrolled glycemia associate with higher REE and TEE in persons with obesity and T2DM. This study is registered with clinicaltrials.gov identifier: NCT01239550.
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Affiliation(s)
- Kate Lillegard
- Vanderbilt University Medical Center, Department of Medicine, Division of Gastroenterology, Hepatology, and Nutrition, Nashville, TN, USA
| | - John A Del Castillo
- University of Mississippi Medical Center, School of Medicine, Jackson, MS, USA
| | - Heidi J Silver
- Vanderbilt University Medical Center, Department of Medicine, Division of Gastroenterology, Hepatology, and Nutrition, Nashville, TN, USA; Tennessee Valley Healthcare System, Department of Veterans Affairs, Nashville, TN, USA.
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6
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Bobba-Alves N, Sturm G, Lin J, Ware SA, Karan KR, Monzel AS, Bris C, Procaccio V, Lenaers G, Higgins-Chen A, Levine M, Horvath S, Santhanam BS, Kaufman BA, Hirano M, Epel E, Picard M. Cellular allostatic load is linked to increased energy expenditure and accelerated biological aging. Psychoneuroendocrinology 2023; 155:106322. [PMID: 37423094 PMCID: PMC10528419 DOI: 10.1016/j.psyneuen.2023.106322] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 05/08/2023] [Accepted: 06/10/2023] [Indexed: 07/11/2023]
Abstract
Stress triggers anticipatory physiological responses that promote survival, a phenomenon termed allostasis. However, the chronic activation of energy-dependent allostatic responses results in allostatic load, a dysregulated state that predicts functional decline, accelerates aging, and increases mortality in humans. The energetic cost and cellular basis for the damaging effects of allostatic load have not been defined. Here, by longitudinally profiling three unrelated primary human fibroblast lines across their lifespan, we find that chronic glucocorticoid exposure increases cellular energy expenditure by ∼60%, along with a metabolic shift from glycolysis to mitochondrial oxidative phosphorylation (OxPhos). This state of stress-induced hypermetabolism is linked to mtDNA instability, non-linearly affects age-related cytokines secretion, and accelerates cellular aging based on DNA methylation clocks, telomere shortening rate, and reduced lifespan. Pharmacologically normalizing OxPhos activity while further increasing energy expenditure exacerbates the accelerated aging phenotype, pointing to total energy expenditure as a potential driver of aging dynamics. Together, our findings define bioenergetic and multi-omic recalibrations of stress adaptation, underscoring increased energy expenditure and accelerated cellular aging as interrelated features of cellular allostatic load.
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Affiliation(s)
- Natalia Bobba-Alves
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, United States
| | - Gabriel Sturm
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, United States; Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, United States
| | - Jue Lin
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, United States
| | - Sarah A Ware
- Department of Medicine, Vascular Medicine Institute and Center for Metabolic and Mitochondrial Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Kalpita R Karan
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, United States
| | - Anna S Monzel
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, United States
| | - Céline Bris
- Department of Genetics, Angers Hospital, Angers, France; MitoLab, UMR CNRS 6015, INSERM U1083, Institut MitoVasc, Université d'Angers, Angers, France
| | - Vincent Procaccio
- MitoLab, UMR CNRS 6015, INSERM U1083, Institut MitoVasc, Université d'Angers, Angers, France
| | - Guy Lenaers
- Department of Genetics, Angers Hospital, Angers, France; MitoLab, UMR CNRS 6015, INSERM U1083, Institut MitoVasc, Université d'Angers, Angers, France; Department of Neurology, Angers Hospital, Angers, France
| | - Albert Higgins-Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, United States
| | - Morgan Levine
- Altos Labs, San Diego Institute of Science, San Diego, CA United States
| | - Steve Horvath
- Altos Labs, San Diego Institute of Science, San Diego, CA United States
| | - Balaji S Santhanam
- Departments of Biological Sciences, Systems Biology, and Biochemistry and Molecular Biophysics, Institute for Cancer Dynamics, Columbia University, New York, NY, United States
| | - Brett A Kaufman
- Department of Medicine, Vascular Medicine Institute and Center for Metabolic and Mitochondrial Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Michio Hirano
- Department of Neurology, Merritt Center, Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, NY, United States
| | - Elissa Epel
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, United States
| | - Martin Picard
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, United States; Department of Neurology, Merritt Center, Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, NY, United States; New York State Psychiatric Institute, New York, NY, United States.
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7
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Mansour A, Motamed S, Hekmatdoost A, Karimi S, Mohajeri-Tehrani MR, Abdollahi M, Jelodar R, Sajjadi-Jazi SM. Factors related to hypermetabolism in individuals with type 2 diabetes mellitus and non-alcoholic fatty liver disease. Sci Rep 2023; 13:3669. [PMID: 36871124 PMCID: PMC9985614 DOI: 10.1038/s41598-023-30945-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: 11/16/2022] [Accepted: 03/03/2023] [Indexed: 03/06/2023] Open
Abstract
Considering the progressive prevalence and co-occurrence of type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD), as well as the current evidence suggesting the elevated levels of basal metabolic rate (BMR) among these individuals, the present study aimed to identify factors determining hypermetabolism in such subjects. This cross sectional study was conducted in 30 to 53-year-old individuals with concurrent T2DM and NAFLD (controlled attenuation parameter score ≥ 260 dB/m). Resting energy expenditure (REE) was determined by an indirect calorimetry device. Hypermetabolism was defined as an elevated measured REE > 110% of the predicted REE. The multivariate logistic regression test was used for detecting factors associated with hypermetabolism. Between September, 2017, and March, 2018, a total of 95 eligible participants (64.40% male) with both T2DM and NAFLD were included, while 32.63% of them were classified as hypermetabolic. Overall, the mean recruitment age ± standard deviation and median (interquartile range) body mass index were 44.69 ± 5.47 years and 30.20 (27.80-33.30) kg/m2, respectively. Demographic, anthropometric and biochemical variables did not vary significantly across two groups except for total body water, low-density lipoprotein cholesterol and dipeptidyl peptidase 4 (DPP-4) inhibitors (p < 0.05). According to the results of multivariable logistic regression analyses, hypermetabolism had a positive association with adiponectin (odds ratio [OR] 1.167, 95% confidence interval [CI] 1.015-1.342, p = 0.030), physical activity (OR 1.134, 95% CI 1.002-1.284, p = 0.046), alanine transaminase (OR 1.062, 95% CI 1.006-1.122, p = 0.031) and diastolic blood pressure (OR 1.067, 95% CI 1.010-1.127, p = 0.021). However, fat free mass was inversely related to hypermetabolism (OR 0.935, 95% CI 0.883-0.991, p = 0.023). Adiponectin, alanine transaminase, physical activity, diastolic blood pressure and fat free mass were independently associated with hypermetabolism in subjects with NAFLD and T2DM.
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Affiliation(s)
- Asieh Mansour
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Azita Hekmatdoost
- Department of Clinical Nutrition & Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sara Karimi
- Department of Clinical Nutrition & Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Reza Mohajeri-Tehrani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Abdollahi
- Digestive Disease Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Reihane Jelodar
- Department of Internal Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Sayed Mahmoud Sajjadi-Jazi
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
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Satoh K, Nagasawa K, Takebe N, Kinno H, Shozushima M, Onodera K, Oda T, Hasegawa Y, Satoh J, Ishigaki Y. Adiponectin Paradox More Evident in Non-Obese Than in Obese Patients with Diabetic Microvascular Complications. Diabetes Metab Syndr Obes 2023; 16:201-212. [PMID: 36760589 PMCID: PMC9882416 DOI: 10.2147/dmso.s387744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 01/11/2023] [Indexed: 01/25/2023] Open
Abstract
AIMS/INTRODUCTION Adiponectin is generally regarded as a beneficial molecule, protecting against insulin resistance and atherosclerosis, and its serum levels are low in individuals with obesity as well as in those with type 2 diabetes (T2DM). However, several clinical studies have shown associations between high adiponectin values and major health concerns. These conflicting findings are termed the "adiponectin paradox". Similarly, these paradoxical adiponectin elevations were observed in patients with diabetic microvascular complications. This cross-sectional study aimed to identify differences in factors, including adiponectin, related to diabetic vascular complications between non-obese and obese patients. MATERIALS AND METHODS Study patients with T2DM were non-obese (n=197) or obese (n=197), matched by a propensity score model adjusted with age and gender. Independent factors for each of the microvascular complications were determined using multivariate logistic regression analyses. RESULTS The prevalence of nephropathy was high in obese T2DM patients. In addition to long diabetes duration, elevated adiponectin was a common characteristic of patients with microvascular complications. Logistic regression analyses for microvascular complications revealed adiponectin to be highly related to retinopathy (odds ratio [OR], 1.138; 95%confidence intervals [CI], 1.004-1.289, p<0.001), nephropathy (OR, 1.192; CI, 1.077-1.319, p<0.001) and neuropathy (OR, 1.217; CI, 1.071-1.384, p<0.001), in non-obese patients. In contrast, the association between adiponectin values and complications was modest in obese patients. CONCLUSION Adiponectin regulation in response to vascular damage differed between non-obese and obese patients, suggesting that adiponectin regulation is compromised by fat accumulation. Assuming that paradoxical elevation of adiponectin in vascular damage is a compensatory response, we speculate that responsive upregulation might be insufficient in obese patients. These newly-recognized differences in adiponectin values might lead to novel insights into adiponectin regulation and our understanding of the adiponectin paradox.
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Affiliation(s)
- Ken Satoh
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
| | - Kan Nagasawa
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
| | - Noriko Takebe
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
| | - Hirofumi Kinno
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
| | - Masaharu Shozushima
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
| | - Ken Onodera
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
| | - Tomoyasu Oda
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
| | - Yutaka Hasegawa
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
| | - Jo Satoh
- Department of Diabetes, Tohoku Medical and Pharmaceutical University, Wakabayashi Hospital, Sendai, Japan
| | - Yasushi Ishigaki
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
- Correspondence: Yasushi Ishigaki, Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, 2-1-1 Idai-Dori, Yahaba, Iwate, 028-3695, Japan, Tel +81 19 613 7111, Fax +81 19 907 8270, Email
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Anche P, Maiya GA, Kamath SU, Shastry BA. Influence of a 12-week physical activity program on leptin resistance in metabolic syndrome: a preliminary study. Int J Diabetes Dev Ctries 2021. [DOI: 10.1007/s13410-021-00928-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Abstract
Purpose
Metabolic syndrome is a condition with clustering of risk factors like insulin resistance, obesity, dyslipidemia, and hypertension. Leptin is a protein of obese gene produced by white adipose tissue. Leptin resistance is the insensitivity of leptin in hypothalamus despite high amounts in blood causing obesity and metabolic syndrome. The study focused on the influence of a 12-week physical activity promotion program on leptin resistance in people with metabolic syndrome
Methods
After approval from institutional ethics committee (IEC 343-2018), 18 participants (males N= 4, females N=14) of age group 45.0±7.6 years with metabolic syndrome according to (NCEP ATP-III) criteria were included in the study. The participants underwent a 12-week physical activity program consisting of 150 min of moderate to vigorous activity per week as per GPAQ domains—work, transport, and recreation. The outcomes were measured at baseline and after 12 weeks.
Results
Out of 18 participants, 10 participants who completed the study were analysed. Twelve-week physical activity showed significant changes in waist circumference (p=0.047), post prandial blood glucose (p=0.0396), triglycerides (p=0.0323), body mass index (p=0.0056), subcutaneous fat (p=0.0354), and basal metabolic rate (p=0.0035). Fasting blood glucose (p=0.254), lipid profiles (total cholesterol (p=0.062)), high-density lipoprotein (p=0.367), low-density lipoprotein (p=0.641), and leptin showed insignificant change (p=0.328). Global physical activity questionnaire showed significant change (p=0.0254) suggesting changes in physical activity behaviors.
Conclusion
From present study, it is concluded that a 12-week physical activity promotion program brought marginal changes in leptin levels and has potential to modify metabolic syndrome parameters and improve physical activity.
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A maternal high-fat/low-fiber diet impairs glucose tolerance and induces the formation of glycolytic muscle fibers in neonatal offspring. Eur J Nutr 2021; 60:2709-2718. [PMID: 33386892 DOI: 10.1007/s00394-020-02461-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 12/07/2020] [Indexed: 12/19/2022]
Abstract
PURPOSE In our previous study, the maternal high-fat/low-fiber (HF-LF) diet was suggested to induce metabolic disorders and placental dysfunction of the dam, but the effects of this diet on glucose metabolism of neonatal offspring remain largely unknown. Here, a neonatal pig model was used to evaluate the effects of maternal HF-LF diet during pregnancy on glucose tolerance, transition of skeletal muscle fiber types, and mitochondrial function in offspring. METHODS A total of 66 pregnant gilts (Guangdong Small-ear Spotted pig) at day 60 of gestation were randomly divided into two groups: control group (CON group; 2.86% crude fat, 9.37% crude fiber), and high-fat/low-fiber diet group (HF-LF group; 5.99% crude fat, 4.13% crude fiber). RESULTS The maternal HF-LF diet was shown to impair the glucose tolerance of neonatal offspring, downregulate the protein level of slow-twitch fiber myosin heavy chain I (MyHC I), and upregulate the protein levels of fast-twitch fiber myosin heavy chain IIb (MyHC IIb) and IIx (MyHC IIx) in soleus muscle. Additionally, compared with the CON group, the HF-LF offspring showed inhibition of insulin signaling pathway and decrease in mitochondrial function in liver and soleus muscle. CONCLUSION Maternal HF-LF diet during pregnancy impairs glucose tolerance, induces the formation of glycolytic muscle fibers, and decreases the hepatic and muscular mitochondrial function in neonatal piglets.
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Bacopoulou F, Landis GN, Pałasz A, Tsitsika A, Vlachakis D, Tsarouhas K, Tsitsimpikou C, Stefanaki C, Kouretas D, Efthymiou V. Identifying early abdominal obesity risk in adolescents by telemedicine: A cross-sectional study in Greece. Food Chem Toxicol 2020. [DOI: https:/doi.org/10.1016/j.fct.2020.111532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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Bacopoulou F, Landis GN, Pałasz A, Tsitsika A, Vlachakis D, Tsarouhas K, Tsitsimpikou C, Stefanaki C, Kouretas D, Efthymiou V. Identifying early abdominal obesity risk in adolescents by telemedicine: A cross-sectional study in Greece. Food Chem Toxicol 2020; 144:111532. [PMID: 32645466 DOI: 10.1016/j.fct.2020.111532] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 06/08/2020] [Accepted: 06/11/2020] [Indexed: 12/24/2022]
Abstract
Obesity and thus, lipotoxicity, is a major health risk factor. Modern exposure to environmental chemicals has contributed significantly to the obesity epidemic. The purpose of this study was to assess, via telemedicine and using bioelectrical impedance analysis (BIA) in schools, the levels of adiposity and other body composition parameters of Greek adolescents in relation with their metabolic syndrome (MetS) characteristics. A representative sample (1575 adolescents, 14.4 ± 1.7 years-old) of the Attica region population, underwent body composition assessment of fat mass (FM), fat-free mass (FFM), and total body water (TBW) and was evaluated for anthropometric and MetS characteristics. Males demonstrated higher FFM% and TBW% but lower FM% than females. Adolescents with abdominal obesity/MetS (n = 149/n = 40) demonstrated significantly (P < 0.001) higher body mass index (BMI 27.8 ± 3.8 kg/m2/30.2 ± 4.2 kg/m2) and FM (33.6 ± 9.7%/35.0 ± 10.5%) but significantly (P < 0.001) lower FFM (34.2 ± 5.7%/33.8 ± 6.2%) and TBW (45.6 ± 6.7%/44.6 ± 7.2%) than adolescents without abdominal obesity/MetS (BMI 20.9 ± 2.8 kg/m2/21.3 ± 3.2 kg/m2; FM 19.2 ± 6.9%/20.2 ± 8.0%; FFM 41.3 ± 4.4%/40.8 ± 4.8%; TBW 55.5 ± 4.8%/54.8 ± 5.5%). Findings suggest that early "osteosarcopenic" elements of abdominal obesity/MetS may exist even in adolescence. The application of BIA, incorporated in the new approach methodology of telemedicine in schools, identified adolescents at risk for obesity complications.
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Affiliation(s)
- Flora Bacopoulou
- Center for Adolescent Medicine and UNESCO Chair on Adolescent Health Care, First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, Aghia Sophia Children's Hospital, 1 Thivon Street, Athens, 11527, Greece.
| | - Georgios N Landis
- Center for Adolescent Medicine and UNESCO Chair on Adolescent Health Care, First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, Aghia Sophia Children's Hospital, 1 Thivon Street, Athens, 11527, Greece.
| | - Artur Pałasz
- Department of Histology, School of Medicine in Katowice, Medical University of Silesia, ul. Medyków 18, 40-752, Katowice, Poland.
| | - Artemis Tsitsika
- Adolescent Health Unit, Second Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, P. & A. Kyriakou Children's Hospital, Thivon & Levadeias Streets, Athens, 11527, Greece.
| | - Dimitrios Vlachakis
- Laboratory of Genetics, Department of Biotechnology, School of Food, Biotechnology and Development, Agricultural University of Athens, Athens, Greece; Department of Informatics, Faculty of Natural and Mathematical Sciences, King's College London, London, United Kingdom.
| | | | - Christina Tsitsimpikou
- General Chemical State Laboratory of Greece, 16 An. Tsocha Street, Athens, 11521, Greece.
| | - Charikleia Stefanaki
- Center for Adolescent Medicine and UNESCO Chair on Adolescent Health Care, First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, Aghia Sophia Children's Hospital, 1 Thivon Street, Athens, 11527, Greece.
| | - Dimitrios Kouretas
- Department of Biochemistry and Biotechnology, University of Thessaly, Larissa, Greece.
| | - Vasiliki Efthymiou
- Center for Adolescent Medicine and UNESCO Chair on Adolescent Health Care, First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, Aghia Sophia Children's Hospital, 1 Thivon Street, Athens, 11527, Greece.
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Amaro-Gahete FJ, Jurado-Fasoli L, Ruiz JR, Castillo MJ. Association of Basal Metabolic Rate and Nutrients Oxidation with Cardiometabolic Risk Factors and Insulin Sensitivity in Sedentary Middle-Aged Adults. Nutrients 2020; 12:nu12041186. [PMID: 32340248 PMCID: PMC7230721 DOI: 10.3390/nu12041186] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 04/15/2020] [Accepted: 04/23/2020] [Indexed: 01/03/2023] Open
Abstract
This cross-sectional study aimed to examine the association of basal metabolic rate (BMR) and basal fat and carbohydrate oxidation (BFox and BCHox, respectively) with cardiometabolic risk factors and insulin sensitivity in sedentary middle-aged adults. A total of 71 healthy sedentary adults (37 women) aged 40–65 years participated in the current study. Data were collected during the baseline assessments of the FIT-AGEING randomized controlled trial. BMR was measured via indirect calorimetry, and BFox and BCHox estimated by stoichiometric equations. Blood pressure, glucose, insulin, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides plasma levels were selected as cardiometabolic risk factors and assessed following standard procedures. We observed positive associations of BMR with plasma insulin and the homeostatic model assessment of insulin resistance index (HOMA; all p < 0.05) which were attenuated or disappeared after controlling by sex, age, and/or lean mass. There were positive associations between BFox and the quantitative insulin sensitivity check index (QUICKI; p < 0.015), while negative associations were noted between BFox and plasma insulin and HOMA (p < 0.015). There was a significant negative association between BCHox with QUICKI (p < 0.01), whereas significant positive relationships were obtained when BCHox was associated with plasma insulin and HOMA (p < 0.01). These associations persisted in almost all cases when controlling by sex, age and/or lean mass. No further relationships were found when BMR, BFox, and BCHox were associated with other cardiometabolic risk factors. In conclusion, our study findings support that greater BFox and lower BCHox are related to improved insulin sensitivity, whereas BMR seems to be not associated with neither cardiometabolic risk nor insulin sensitivity in sedentary middle-aged adults. Further intervention studies are necessary to well-understand the physiological mechanism implied in this relationship.
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Affiliation(s)
- Francisco J. Amaro-Gahete
- Department of Medical Physiology, School of Medicine, University of Granada, 18071 Granada, Spain; (L.J.-F.); (M.J.C.)
- PROmoting FITness and Health through Physical Activity Research Group (PROFITH), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, 18071 Granada, Spain;
- Correspondence: ; Tel.: +34-958-243-540
| | - Lucas Jurado-Fasoli
- Department of Medical Physiology, School of Medicine, University of Granada, 18071 Granada, Spain; (L.J.-F.); (M.J.C.)
- PROmoting FITness and Health through Physical Activity Research Group (PROFITH), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, 18071 Granada, Spain;
| | - Jonatan R. Ruiz
- PROmoting FITness and Health through Physical Activity Research Group (PROFITH), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, 18071 Granada, Spain;
| | - Manuel J. Castillo
- Department of Medical Physiology, School of Medicine, University of Granada, 18071 Granada, Spain; (L.J.-F.); (M.J.C.)
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Bettini S, Favaretto F, Compagnin C, Belligoli A, Sanna M, Fabris R, Serra R, Dal Prà C, Prevedello L, Foletto M, Vettor R, Milan G, Busetto L. Resting Energy Expenditure, Insulin Resistance and UCP1 Expression in Human Subcutaneous and Visceral Adipose Tissue of Patients With Obesity. Front Endocrinol (Lausanne) 2019; 10:548. [PMID: 31440209 PMCID: PMC6692889 DOI: 10.3389/fendo.2019.00548] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 07/23/2019] [Indexed: 01/31/2023] Open
Abstract
Determinants of resting energy expenditure (REE) in humans are still under investigation, especially the association with insulin resistance. Brown adipose tissue (AT) regulates energy expenditure through the activity of the uncoupling protein 1 (UCP1). White AT browning is the process by which some adipocytes within AT depots acquire properties of brown adipocytes ("brite" adipocytes) and it correlates with metabolic improvement. We analyzed determinants of REE in patients with obesity and assessed UCP1 expression as a "brite" marker in abdominal subcutaneous AT (SAT) and visceral omental AT (VAT). Clinical data, REE, free fat mass (FFM), and fat mass (FM) were determined in 209 patients with obesity. UCP1, PPARG coactivator 1 alpha (PPARGC1A), transcription factor A, mitochondrial (TFAM), T-box transcription factor 1 (TBX1), and solute carrier family 27 member 1 (SLC27A1) expression was assayed in SAT and VAT samples, obtained during sleeve gastrectomy from 62 patients with obesity. REE and body composition data were also available for a subgroup of 35 of whom. In 209 patients with obesity a multiple regression model was computed with REE as the dependent variable and sex, waist, FFM, FM, homeostasis model assessment-insulin resistance (HOMA), interleukin-6 and High Density Lipoprotein-cholesterol as the independent variables. Only FFM, FM and HOMA were independently correlated with REE (r = 0.787, AdjRsqr = 0.602). In each patient VAT displayed a higher UCP1, PPARGC1A, TFAM, TBX1, and SLC27A1 expression than SAT and UCP1 expression in VAT (UCP1-VAT) correlated with Body Mass Index (BMI) (r = 0.287, p < 0.05). Introducing UCP1-VAT in the multivariate model, we showed that FFM, HOMA, interleukin-6, High Density Lipoprotein-cholesterol, and UCP1-VAT were independent factors correlated with REE (r = 0.736, AdjRsqr = 0.612). We confirmed that REE correlates with FFM, FM and HOMA in a large cohort of patients. Our results clearly showed that UCP1-VAT expression was significantly increased in severe human obesity (BMI > 50 kg/m2) and that it behaved as an independent predictor of REE. Lastly, we suggest that an increased REE and browning in metabolically complicated severe obesity could represent an effort to counteract further weight gain.
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Affiliation(s)
- Silvia Bettini
- Internal Medicine 3, Department of Medicine, DIMED, University of Padua, Padua, Italy
- Center for the Study and the Integrated Treatment of Obesity, University Hospital of Padua, Padua, Italy
- *Correspondence: Silvia Bettini
| | - Francesca Favaretto
- Internal Medicine 3, Department of Medicine, DIMED, University of Padua, Padua, Italy
- Center for the Study and the Integrated Treatment of Obesity, University Hospital of Padua, Padua, Italy
| | - Chiara Compagnin
- Internal Medicine 3, Department of Medicine, DIMED, University of Padua, Padua, Italy
- Center for the Study and the Integrated Treatment of Obesity, University Hospital of Padua, Padua, Italy
| | - Anna Belligoli
- Internal Medicine 3, Department of Medicine, DIMED, University of Padua, Padua, Italy
- Center for the Study and the Integrated Treatment of Obesity, University Hospital of Padua, Padua, Italy
| | - Marta Sanna
- Internal Medicine 3, Department of Medicine, DIMED, University of Padua, Padua, Italy
- Center for the Study and the Integrated Treatment of Obesity, University Hospital of Padua, Padua, Italy
| | - Roberto Fabris
- Internal Medicine 3, Department of Medicine, DIMED, University of Padua, Padua, Italy
- Center for the Study and the Integrated Treatment of Obesity, University Hospital of Padua, Padua, Italy
| | - Roberto Serra
- Internal Medicine 3, Department of Medicine, DIMED, University of Padua, Padua, Italy
- Center for the Study and the Integrated Treatment of Obesity, University Hospital of Padua, Padua, Italy
| | - Chiara Dal Prà
- Internal Medicine 3, Department of Medicine, DIMED, University of Padua, Padua, Italy
- Center for the Study and the Integrated Treatment of Obesity, University Hospital of Padua, Padua, Italy
| | - Luca Prevedello
- Center for the Study and the Integrated Treatment of Obesity, University Hospital of Padua, Padua, Italy
| | - Mirto Foletto
- Center for the Study and the Integrated Treatment of Obesity, University Hospital of Padua, Padua, Italy
| | - Roberto Vettor
- Internal Medicine 3, Department of Medicine, DIMED, University of Padua, Padua, Italy
- Center for the Study and the Integrated Treatment of Obesity, University Hospital of Padua, Padua, Italy
| | - Gabriella Milan
- Internal Medicine 3, Department of Medicine, DIMED, University of Padua, Padua, Italy
- Center for the Study and the Integrated Treatment of Obesity, University Hospital of Padua, Padua, Italy
| | - Luca Busetto
- Internal Medicine 3, Department of Medicine, DIMED, University of Padua, Padua, Italy
- Center for the Study and the Integrated Treatment of Obesity, University Hospital of Padua, Padua, Italy
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