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Zachos KA, Choi J, Godin O, Chernega T, Kwak HA, Jung JH, Aouizerate B, Aubin V, Bellivier F, Belzeaux-R R, Courtet P, Dubertret C, Etain B, Haffen E, Lefrere A A, Llorca PM, Olié E, Polosan M, Samalin L, Schwan R, Roux P, Barau C, Richard JR, Tamouza R, Leboyer M, Andreazza AC. Mitochondrial Biomarkers and Metabolic Syndrome in Bipolar Disorder. Psychiatry Res 2024; 339:116063. [PMID: 39003800 DOI: 10.1016/j.psychres.2024.116063] [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: 01/08/2024] [Revised: 06/21/2024] [Accepted: 06/27/2024] [Indexed: 07/16/2024]
Abstract
The object of this study is test whether mitochondrial blood-based biomarkers are associated with markers of metabolic syndrome in bipolar disorder, hypothesizing higher lactate but unchanged cell-free circulating mitochondrial DNA levels in bipolar disorder patients with metabolic syndrome. In a cohort study, primary testing from the FondaMental Advanced Centers of Expertise for bipolar disorder (FACE-BD) was conducted, including 837 stable bipolar disorder patients. The I-GIVE validation cohort consists of 237 participants: stable and acute bipolar patients, non-psychiatric controls, and acute schizophrenia patients. Multivariable regression analyses show significant lactate association with triglycerides, fasting glucose and systolic and diastolic blood pressure. Significantly higher levels of lactate were associated with presence of metabolic syndrome after adjusting for potential confounding factors. Mitochondrial-targeted metabolomics identified distinct metabolite profiles in patients with lactate presence and metabolic syndrome, differing from those without lactate changes but with metabolic syndrome. Circulating cell-free mitochondrial DNA was not associated with metabolic syndrome. This thorough analysis mitochondrial biomarkers indicate the associations with lactate and metabolic syndrome, while showing the mitochondrial metabolites can further stratify metabolic profiles in patients with BD. This study is relevant to improve the identification and stratification of bipolar patients with metabolic syndrome and provide potential personalized-therapeutic opportunities.
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Affiliation(s)
- Kassandra A Zachos
- Department of Pharmacology and Toxicology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Mitochondrial Innovation Initiative, MITO2i, Toronto, ON, Canada
| | - Jaehyoung Choi
- Department of Pharmacology and Toxicology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Mitochondrial Innovation Initiative, MITO2i, Toronto, ON, Canada
| | - Ophelia Godin
- INSERM U955 IMRB, Translational Neuropsychiatry laboratory, AP-HP, Hôpital Henri Mondor, DMU IMPACT, Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Paris Est Créteil University (UPEC), ECNP Immuno-NeuroPsychiatry Network; Fondation FondaMental, Créteil, France
| | - Timofei Chernega
- Department of Pharmacology and Toxicology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Haejin Angela Kwak
- Department of Pharmacology and Toxicology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Jae H Jung
- Department of Pharmacology and Toxicology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Bruno Aouizerate
- Fondation FondaMental, Créteil, France; Centre Hospitalier Charles Perrens, Pôle de Psychiatrie Générale et Universitaire, Laboratoire NutriNeuro (UMR INRAE 1286), Université de Bordeaux, Bordeaux, France
| | - Valérie Aubin
- Fondation FondaMental, Créteil, France; Pôle de Psychiatrie, Centre Hospitalier Princesse Grace, Monaco
| | - Frank Bellivier
- Fondation FondaMental, Créteil, France; Université Paris Cité, INSERM UMR-S1144, AP-HPm GH Saint-Louis-Bariboisière-Fernand Widal, Pôle Neurosciences, Paris Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Paris, France; AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, DMU Neurosciences, Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France
| | - Raoul Belzeaux-R
- Fondation FondaMental, Créteil, France; Univ. Montpellier & Department of Psychiatry, CHU de Montpellier, France
| | - Philippe Courtet
- Fondation FondaMental, Créteil, France; IGF, Univ. Montpellier, CNRS, INSERM, Department of Emergency Psychiatry and Acute Care, CHU Montpellier, Montpellier, France
| | - Caroline Dubertret
- Fondation FondaMental, Créteil, France; AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, DMU ESPRIT, Service de Psychiatrie et Addictologie, Hôpital Louis Mourier, Colombes, France, Université de Paris, Inserm UMR1266, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
| | - Bruno Etain
- Fondation FondaMental, Créteil, France; Université Paris Cité, INSERM UMR-S1144, AP-HPm GH Saint-Louis-Bariboisière-Fernand Widal, Pôle Neurosciences, Paris Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Paris, France; AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, DMU Neurosciences, Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France
| | - Emmanuel Haffen
- Fondation FondaMental, Créteil, France; Université de Franche-Comté, UR 481 LINC, Service de Psychiatrie de l'Adulte, CIC-1431 INSERM, CHU de Besançon, F-2500, France
| | - Antoine Lefrere A
- Fondation FondaMental, Créteil, France; Pôle de Psychiatrie, Assistance Publique Hôpitaux de Marseille, Marseille, France, INT-UMR7289, CNRS Aix-Marseille Université, Marseille, France
| | - Pierre-Michel Llorca
- Fondation FondaMental, Créteil, France; Department of Psychiatry, CHU Clermont-Ferrand, University of Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal (UMR 6602), Clermont-Ferrand, France
| | - Emilie Olié
- Fondation FondaMental, Créteil, France; IGF, Univ. Montpellier, CNRS, INSERM, Department of Emergency Psychiatry and Acute Care, CHU Montpellier, Montpellier, France
| | - Mircea Polosan
- Fondation FondaMental, Créteil, France; Univ. Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France
| | - Ludovic Samalin
- Fondation FondaMental, Créteil, France; Department of Psychiatry, CHU Clermont-Ferrand, University of Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal (UMR 6602), Clermont-Ferrand, France
| | - Raymund Schwan
- Université de Lorraine, Centre Psychothérapique de Nancy, Inserm U1254, Nancy, France
| | - Paul Roux
- Fondation FondaMental, Créteil, France; Centre Hospitalier de Versailles, Service Universitaire de Psychiatrie d'Adulte et d'Addictologie, Le Chesnay, France; Université Paris-Saclay & Université Versailles Saint-Quentin-En-Yvelines, INSERM UMR1018, Centre de recherche en Épidémiologie et Santé des Populations, Equipe DevPsy-DisAP, Paris, France
| | - Caroline Barau
- Plateforme de Ressources Biologiques, HU Henri Mondor, Créteil, France
| | - Jean Romain Richard
- INSERM U955 IMRB, Translational Neuropsychiatry laboratory, AP-HP, Hôpital Henri Mondor, DMU IMPACT, Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Paris Est Créteil University (UPEC), ECNP Immuno-NeuroPsychiatry Network
| | - Ryad Tamouza
- INSERM U955 IMRB, Translational Neuropsychiatry laboratory, AP-HP, Hôpital Henri Mondor, DMU IMPACT, Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Paris Est Créteil University (UPEC), ECNP Immuno-NeuroPsychiatry Network; Fondation FondaMental, Créteil, France
| | - Marion Leboyer
- INSERM U955 IMRB, Translational Neuropsychiatry laboratory, AP-HP, Hôpital Henri Mondor, DMU IMPACT, Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Paris Est Créteil University (UPEC), ECNP Immuno-NeuroPsychiatry Network; Fondation FondaMental, Créteil, France.
| | - Ana C Andreazza
- Department of Pharmacology and Toxicology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Mitochondrial Innovation Initiative, MITO2i, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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Flores-Opazo M, Kopinke D, Helmbacher F, Fernández-Verdejo R, Tuñón-Suárez M, Lynch GS, Contreras O. Fibro-adipogenic progenitors in physiological adipogenesis and intermuscular adipose tissue remodeling. Mol Aspects Med 2024; 97:101277. [PMID: 38788527 DOI: 10.1016/j.mam.2024.101277] [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: 02/01/2024] [Revised: 04/27/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024]
Abstract
Excessive accumulation of intermuscular adipose tissue (IMAT) is a common pathological feature in various metabolic and health conditions and can cause muscle atrophy, reduced function, inflammation, insulin resistance, cardiovascular issues, and unhealthy aging. Although IMAT results from fat accumulation in muscle, the mechanisms underlying its onset, development, cellular components, and functions remain unclear. IMAT levels are influenced by several factors, such as changes in the tissue environment, muscle type and origin, extent and duration of trauma, and persistent activation of fibro-adipogenic progenitors (FAPs). FAPs are a diverse and transcriptionally heterogeneous population of stromal cells essential for tissue maintenance, neuromuscular stability, and tissue regeneration. However, in cases of chronic inflammation and pathological conditions, FAPs expand and differentiate into adipocytes, resulting in the development of abnormal and ectopic IMAT. This review discusses the role of FAPs in adipogenesis and how they remodel IMAT. It highlights evidence supporting FAPs and FAP-derived adipocytes as constituents of IMAT, emphasizing their significance in adipose tissue maintenance and development, as well as their involvement in metabolic disorders, chronic pathologies and diseases. We also investigated the intricate molecular pathways and cell interactions governing FAP behavior, adipogenesis, and IMAT accumulation in chronic diseases and muscle deconditioning. Finally, we hypothesize that impaired cellular metabolic flexibility in dysfunctional muscles impacts FAPs, leading to IMAT. A deeper understanding of the biology of IMAT accumulation and the mechanisms regulating FAP behavior and fate are essential for the development of new therapeutic strategies for several debilitating conditions.
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Affiliation(s)
| | - Daniel Kopinke
- Department of Pharmacology and Therapeutics, University of Florida, Gainesville, 32610, FL, USA; Myology Institute, University of Florida College of Medicine, Gainesville, FL, USA.
| | | | - Rodrigo Fernández-Verdejo
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA; Laboratorio de Fisiología Del Ejercicio y Metabolismo (LABFEM), Escuela de Kinesiología, Facultad de Medicina, Universidad Finis Terrae, Chile.
| | - Mauro Tuñón-Suárez
- Laboratorio de Fisiología Del Ejercicio y Metabolismo (LABFEM), Escuela de Kinesiología, Facultad de Medicina, Universidad Finis Terrae, Chile.
| | - Gordon S Lynch
- Centre for Muscle Research, Department of Anatomy and Physiology, The University of Melbourne, Melbourne, Victoria, Parkville 3010, Australia.
| | - Osvaldo Contreras
- Developmental and Regenerative Biology Division, Victor Chang Cardiac Research Institute, Darlinghurst, NSW, 2010, Australia; School of Clinical Medicine, UNSW Sydney, Kensington, NSW 2052, Australia.
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Cai M, Li S, Cai K, Du X, Han J, Hu J. Empowering mitochondrial metabolism: Exploring L-lactate supplementation as a promising therapeutic approach for metabolic syndrome. Metabolism 2024; 152:155787. [PMID: 38215964 DOI: 10.1016/j.metabol.2024.155787] [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: 08/03/2023] [Revised: 12/08/2023] [Accepted: 01/05/2024] [Indexed: 01/14/2024]
Abstract
Mitochondrial dysfunction plays a critical role in the pathogenesis of metabolic syndrome (MetS), affecting various cell types and organs. In MetS animal models, mitochondria exhibit decreased quality control, characterized by abnormal morphological structure, impaired metabolic activity, reduced energy production, disrupted signaling cascades, and oxidative stress. The aberrant changes in mitochondrial function exacerbate the progression of metabolic syndrome, setting in motion a pernicious cycle. From this perspective, reversing mitochondrial dysfunction is likely to become a novel and powerful approach for treating MetS. Unfortunately, there are currently no effective drugs available in clinical practice to improve mitochondrial function. Recently, L-lactate has garnered significant attention as a valuable metabolite due to its ability to regulate mitochondrial metabolic processes and function. It is highly likely that treating MetS and its related complications can be achieved by correcting mitochondrial homeostasis disorders. In this review, we comprehensively discuss the complex relationship between mitochondrial function and MetS and the involvement of L-lactate in regulating mitochondrial metabolism and associated signaling pathways. Furthermore, it highlights recent findings on the involvement of L-lactate in common pathologies of MetS and explores its potential clinical application and further prospects, thus providing new insights into treatment possibilities for MetS.
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Affiliation(s)
- Ming Cai
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai 201318, PR China; Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Shuyao Li
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai 201318, PR China
| | - Keren Cai
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai 201318, PR China
| | - Xinlin Du
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai 201318, PR China
| | - Jia Han
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai 201318, PR China.
| | - Jingyun Hu
- Central Lab, Shanghai Key Laboratory of Pathogenic Fungi Medical Testing, Shanghai Pudong New Area People's Hospital, Shanghai 201299, PR China.
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Broskey NT, Pories WJ, DeMaria EJ, Jones TE, Tanner CJ, Zheng D, Krassovskaia PM, Mitchell LA, Matarese LE, O'Brien KF, Cortright RN, Dohm GL, Houmard JA. Fasting plasma lactate as a possible early clinical marker for metabolic disease risk. Diabetes Metab Syndr 2024; 18:102955. [PMID: 38310736 PMCID: PMC10997452 DOI: 10.1016/j.dsx.2024.102955] [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: 09/19/2023] [Revised: 01/17/2024] [Accepted: 01/28/2024] [Indexed: 02/06/2024]
Abstract
BACKGROUND AND AIM Elevated fasting plasma lactate concentrations are evident in individuals with metabolic diseases. However, it has yet to be determined if these associations exist in a young, healthy population as a possible early marker for metabolic disease risk. The purpose of this study was to determine if indices of the metabolic syndrome are related to plasma lactate concentrations in this population. METHODS Fifty (29 ± 7 yr) men (n = 19) and women (n = 31) classified as overweight (26.4 ± 1.8 kg/m2) participated in this observational study. Blood pressure and blood metabolites were measured after an overnight fast. Lactate was also measured before and after a three-day eucaloric high-fat (70 %) diet. The homeostatic model assessment for insulin resistance (HOMA-IR) was calculated as a measure of insulin resistance. Visceral adipose tissue mass was determined via dual X-ray absorptiometry. RESULTS Triglycerides (r = 0.55, p=<0.0001), HOMA-IR (r = 0.53, p=<0.0001), and systolic and diastolic (both, r = 0.36, p = 0.01) blood pressures associated with fasting plasma lactate. No differences in visceral adipose tissue existed between the sexes (p = 0.41); however, the relationship between visceral adipose tissue and lactate existed only in females (r = 0.59, p = 0.02) but not in males (p = 0.53). Fasting lactate and HOMA-IR increased in males (p = 0.01 and p = 0.02, respectively), but not females, following a three-day high-fat diet. CONCLUSION Indices of the metabolic syndrome associated with fasting plasma lactates in young relatively healthy individuals. Fasting lactate also increased in a sex-specific manner after a three-day high fat diet. Thus, lactate could become a clinical marker for metabolic disease risk.
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Affiliation(s)
- Nicholas T Broskey
- Departments of Kinesiology, East Carolina University, Greenville, NC, USA; Surgery, East Carolina University, Greenville, NC, USA; Human Performance Laboratory, East Carolina University, Greenville, NC, USA; East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, NC, USA.
| | - Walter J Pories
- Surgery, East Carolina University, Greenville, NC, USA; East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, NC, USA
| | | | - Terry E Jones
- Physical Therapy, East Carolina University, Greenville, NC, USA; East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, NC, USA
| | - Charles J Tanner
- Departments of Kinesiology, East Carolina University, Greenville, NC, USA; Human Performance Laboratory, East Carolina University, Greenville, NC, USA; East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, NC, USA
| | - Donghai Zheng
- Departments of Kinesiology, East Carolina University, Greenville, NC, USA; Human Performance Laboratory, East Carolina University, Greenville, NC, USA; East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, NC, USA
| | - Polina M Krassovskaia
- Departments of Kinesiology, East Carolina University, Greenville, NC, USA; Human Performance Laboratory, East Carolina University, Greenville, NC, USA; East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, NC, USA
| | | | - Laura E Matarese
- Surgery, East Carolina University, Greenville, NC, USA; Internal Medicine, East Carolina University, Greenville, NC, USA
| | - Kevin F O'Brien
- Public Health, East Carolina University, Greenville, NC, USA
| | - Ronald N Cortright
- Departments of Kinesiology, East Carolina University, Greenville, NC, USA; Human Performance Laboratory, East Carolina University, Greenville, NC, USA; Physiology, East Carolina University, Greenville, NC, USA; East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, NC, USA
| | - G Lynis Dohm
- Physiology, East Carolina University, Greenville, NC, USA; East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, NC, USA
| | - Joseph A Houmard
- Departments of Kinesiology, East Carolina University, Greenville, NC, USA; Surgery, East Carolina University, Greenville, NC, USA; Human Performance Laboratory, East Carolina University, Greenville, NC, USA; East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, NC, USA
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Lebron MA, Stout JR, Fukuda DH. Physiological Perturbations in Combat Sports: Weight Cycling and Metabolic Function-A Narrative Review. Metabolites 2024; 14:83. [PMID: 38392975 PMCID: PMC10890020 DOI: 10.3390/metabo14020083] [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: 12/16/2023] [Revised: 01/12/2024] [Accepted: 01/21/2024] [Indexed: 02/25/2024] Open
Abstract
Combat sports athletes seeking a competitive edge often engage in weight management practices to become larger than their opponents, which ultimately includes periods of gradual weight loss, rapid weight loss, and weight regain. This pattern of weight loss and regain is known as weight cycling and often includes periods of low energy availability, making combat sports athletes susceptible to metabolic dysfunction. This narrative review represents an effort to explore the metabolic perturbations associated with weight cycling and outline the short-, medium-, and long-term effects on metabolic flexibility, function, and health. The short-term effects of rapid weight loss, such as a reduced metabolic rate and alterations to insulin and leptin levels, may prelude the more pronounced metabolic disturbances that occur during weight regain, such as insulin resistance. Although definitive support is not currently available, this cycle of weight loss and regain and associated metabolic changes may contribute to metabolic syndrome or other metabolic dysfunctions over time.
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Affiliation(s)
- Modesto A Lebron
- Physiology of Work and Exercise Response Laboratory, Institute of Exercise Physiology and Rehabilitation Science, University of Central Florida, Orlando, FL 32816, USA
| | - Jeffrey R Stout
- Physiology of Work and Exercise Response Laboratory, Institute of Exercise Physiology and Rehabilitation Science, University of Central Florida, Orlando, FL 32816, USA
| | - David H Fukuda
- Physiology of Work and Exercise Response Laboratory, Institute of Exercise Physiology and Rehabilitation Science, University of Central Florida, Orlando, FL 32816, USA
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Olenick AA, Pearson RC, Jenkins NT. Impact of aerobic fitness status, menstrual cycle phase, and oral contraceptive use on exercise substrate oxidation and metabolic flexibility in females. Appl Physiol Nutr Metab 2024; 49:93-104. [PMID: 37657080 DOI: 10.1139/apnm-2023-0101] [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] [Indexed: 09/03/2023]
Abstract
The influence of menstrual cycle phase and fitness status on metabolism during high-intensity interval exercise (HIIE) was assessed. Twenty-five females (24.4 (3.6) years) were categorized by normal menstrual cycle (n = 14) vs. oral contraceptive (OC) use (n = 11) and by aerobic fitness, high-fitness females (HFF; n = 13) vs. low-fitness females (LFF; n = 12). HIIE was four sets of four repetitions with a 3 min rest between intervals on a cycle ergometer at a power output halfway between the ventilatory threshold and V̇O2peak and performed during follicular (FOL: days 2-7 or inactive pills) and luteal phases (LUT: day ∼21 or 3rd week of active pills). Substrate oxidation was assessed via indirect calorimetry, blood lactate via finger stick, and recovery of skeletal muscle oxidative metabolism (mV̇O2) via continuous-wave near-infrared spectroscopy. HFF oxidized more fat (g·kg-1) during the full session (FOL: p = 0.050, LUT: p = 0.001), high intervals (FOL: p = 0.048, LUT: p = 0.001), low intervals (FOL: p = 0.032, LUT: p = 0.024), and LUT recovery (p = 0.033). Carbohydrate oxidation area under the curve was greater in HFF during FOL (FOL: p = 0.049, LUT: p = 0.124). Blood lactate was lower in LFF in FOL (p ≤ 0.05) but not in LUT. Metabolic flexibility (Δ fat oxidation g·kg-1·min-1) was greater in HFF than LFF during intervals 2-3 in FOL and 1-4 in LUT (p ≤ 0.05). Fitness status more positively influences exercise metabolic flexibility during HIIE than cycle phase or OC use.
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Affiliation(s)
- Alyssa A Olenick
- Department of Endocrinology and Metabolism, University of Colorado Anschutz Medical School, Aurora, CO, USA
| | - Regis C Pearson
- Department of Kinesiology, College of Education, University of Georgia, Athens, GA 30602, USA
| | - Nathan T Jenkins
- Department of Kinesiology, College of Education, University of Georgia, Athens, GA 30602, USA
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7
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Tang Y, Wang YD, Wang YY, Liao ZZ, Xiao XH. Skeletal muscles and gut microbiota-derived metabolites: novel modulators of adipocyte thermogenesis. Front Endocrinol (Lausanne) 2023; 14:1265175. [PMID: 37867516 PMCID: PMC10588486 DOI: 10.3389/fendo.2023.1265175] [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: 07/22/2023] [Accepted: 09/18/2023] [Indexed: 10/24/2023] Open
Abstract
Obesity occurs when overall energy intake surpasses energy expenditure. White adipose tissue is an energy storage site, whereas brown and beige adipose tissues catabolize stored energy to generate heat, which protects against obesity and obesity-associated metabolic disorders. Metabolites are substrates in metabolic reactions that act as signaling molecules, mediating communication between metabolic sites (i.e., adipose tissue, skeletal muscle, and gut microbiota). Although the effects of metabolites from peripheral organs on adipose tissue have been extensively studied, their role in regulating adipocyte thermogenesis requires further investigation. Skeletal muscles and intestinal microorganisms are important metabolic sites in the body, and their metabolites play an important role in obesity. In this review, we consolidated the latest research on skeletal muscles and gut microbiota-derived metabolites that potentially promote adipocyte thermogenesis. Skeletal muscles can release lactate, kynurenic acid, inosine, and β-aminoisobutyric acid, whereas the gut secretes bile acids, butyrate, succinate, cinnabarinic acid, urolithin A, and asparagine. These metabolites function as signaling molecules by interacting with membrane receptors or controlling intracellular enzyme activity. The mechanisms underlying the reciprocal exchange of metabolites between the adipose tissue and other metabolic organs will be a focal point in future studies on obesity. Furthermore, understanding how metabolites regulate adipocyte thermogenesis will provide a basis for establishing new therapeutic targets for obesity.
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Affiliation(s)
- Yi Tang
- Department of Metabolism and Endocrinology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Ya-Di Wang
- Department of Metabolism and Endocrinology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Yuan-Yuan Wang
- Department of Metabolism and Endocrinology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Zhe-Zhen Liao
- Department of Metabolism and Endocrinology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Xin-Hua Xiao
- Department of Metabolism and Endocrinology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
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Zheng A, Li C, Xu S, Guo Z, Li C, Zhang C, Yao J, Zhang Z, Li J, Du L, Zhao S, Wang C, Zhang W, Zhou L. Efficient Simultaneous Detection of Metabolites Based on Electroenzymatic Assembly Strategy. BME FRONTIERS 2023; 4:0027. [PMID: 37849675 PMCID: PMC10530654 DOI: 10.34133/bmef.0027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 08/18/2023] [Indexed: 10/19/2023] Open
Abstract
Objective and Impact Statement: We describe an electroenzymatic mediator (EM) sensor based on an electroenzymatic assembly peak separation strategy, which can efficiently realize the simultaneous detection of 3 typical cardiovascular disease (CVD) metabolites in 5 μl of plasma under one test. This work has substantial implications toward improving the efficiency of chronic CVD assessment. Introduction: Monitoring CVD of metabolites is strongly associated with disease risk. Independent and time-consuming detection in hospitals is unfavorable for chronic CVD management. Methods: The EM was flexibly designed by the cross-linking of electron mediators and enzymes, and 3 EM layers with different characteristics were assembled on one electrode. Electrons were transferred under tunable potential; 3 metabolites were quantitatively detected by 3 peak currents that correlated with metabolite concentrations. Results: In this study, the EM sensor showed high sensitivity for the simultaneous detection of 3 metabolites with a lower limit of 0.01 mM. The linear correlation between the sensor and clinical was greater than 0.980 for 242 patients, and the consistency of risk assessment was 94.6%. Conclusion: Metabolites could be expanded by the EM, and the sensor could be a promising candidate as a home healthcare tool for CVD risk assessment.
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Affiliation(s)
- Anran Zheng
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Chao Li
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
- Ji Hua Laboratory, Foshan 528000, China
| | - Shengkai Xu
- Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou 215153, Jiangsu Province, China
| | - Zhen Guo
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
- Ji Hua Laboratory, Foshan 528000, China
| | - Chuanyu Li
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
- Suzhou CASENS Co. Ltd., Suzhou 215163, China
| | - Changsong Zhang
- Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou 215153, Jiangsu Province, China
| | - Jia Yao
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Zhiqi Zhang
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Jinze Li
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
- Suzhou CASENS Co. Ltd., Suzhou 215163, China
| | - Lutao Du
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan 250033, Shandong, China
| | - Shasha Zhao
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Chuanxin Wang
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan 250033, Shandong, China
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan 250033, Shandong, China
| | - Wei Zhang
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
- Ji Hua Laboratory, Foshan 528000, China
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan 250033, Shandong, China
| | - Lianqun Zhou
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
- Suzhou CASENS Co. Ltd., Suzhou 215163, China
- Ji Hua Laboratory, Foshan 528000, China
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan 250033, Shandong, China
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9
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Jevtovic F, Zheng D, Lopez CA, Kern K, Tanner CJ, Jones TE, Pories WJ, Dohm GL, Houmard JA, May LE, Broskey NT. Greater reliance on glycolysis is associated with lower mitochondrial substrate oxidation and insulin sensitivity in infant myogenic MSCs. Am J Physiol Endocrinol Metab 2023; 325:E207-E213. [PMID: 37467021 PMCID: PMC10511160 DOI: 10.1152/ajpendo.00159.2023] [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: 05/23/2023] [Revised: 06/27/2023] [Accepted: 07/13/2023] [Indexed: 07/20/2023]
Abstract
Individuals with insulin resistance and obesity display higher skeletal muscle production of nonoxidized glycolytic products (i.e., lactate), and lower complete mitochondrial substrate oxidation to CO2. These findings have also been observed in individuals without obesity and are associated with an increased risk for metabolic disease. The purpose of this study was to determine if substrate preference is evident at the earliest stage of life (birth) and to provide a clinical blood marker (lactate) that could be indicative of a predisposition for metabolic disease later. We used radiolabeled tracers to assess substrate oxidation and insulin sensitivity of myogenically differentiated mesenchymal stem cells (MSCs), a proxy of infant skeletal muscle tissue, derived from umbilical cords of full-term infants. We found that greater production of nonoxidized glycolytic products (lactate, pyruvate, alanine) is directly proportional to lower substrate oxidation and insulin sensitivity in MSCs. In addition, we found an inverse relationship between the ratio of complete glucose oxidation to CO2 and infant blood lactate at 1 mo of age. Collectively, considering that higher lactate was associated with lower MSC glucose oxidation and has been shown to be implicated with metabolic disease, it may be an early indicator of infant skeletal muscle phenotype.NEW & NOTEWORTHY In infant myogenically differentiated mesenchymal stem cells, greater production of nonoxidized glycolytic products was directly proportional to lower substrate oxidation and insulin resistance. Glucose oxidation was inversely correlated with infant blood lactate. This suggests that innate differences in infant substrate oxidation exist at birth and could be associated with the development of metabolic disease later in life. Clinical assessment of infant blood lactate could be used as an early indicator of skeletal muscle phenotype.
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Affiliation(s)
- Filip Jevtovic
- Department of Kinesiology, East Carolina University, Greenville, North Carolina, United States
- Human Performance Laboratory, East Carolina University, Greenville, North Carolina, United States
- East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, North Carolina, United States
| | - Donghai Zheng
- Department of Kinesiology, East Carolina University, Greenville, North Carolina, United States
- Human Performance Laboratory, East Carolina University, Greenville, North Carolina, United States
- East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, North Carolina, United States
| | - Christian A Lopez
- Department of Kinesiology, East Carolina University, Greenville, North Carolina, United States
- Human Performance Laboratory, East Carolina University, Greenville, North Carolina, United States
- East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, North Carolina, United States
| | - Kara Kern
- Department of Kinesiology, East Carolina University, Greenville, North Carolina, United States
- Human Performance Laboratory, East Carolina University, Greenville, North Carolina, United States
- East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, North Carolina, United States
| | - Charles J Tanner
- Department of Kinesiology, East Carolina University, Greenville, North Carolina, United States
- Human Performance Laboratory, East Carolina University, Greenville, North Carolina, United States
- East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, North Carolina, United States
| | - Terry E Jones
- Department of Physical Therapy, East Carolina University, Greenville, North Carolina, United States
| | - Walter J Pories
- East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, North Carolina, United States
- Department of Surgery, East Carolina University, Greenville, North Carolina, United States
| | - G Lynis Dohm
- East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, North Carolina, United States
- Department of Physiology, East Carolina University, Greenville, North Carolina, United States
| | - Joseph A Houmard
- Department of Kinesiology, East Carolina University, Greenville, North Carolina, United States
- Human Performance Laboratory, East Carolina University, Greenville, North Carolina, United States
- East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, North Carolina, United States
| | - Linda E May
- Department of Kinesiology, East Carolina University, Greenville, North Carolina, United States
- Human Performance Laboratory, East Carolina University, Greenville, North Carolina, United States
- East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, North Carolina, United States
- Department of Obstetrics and Gynecology, East Carolina University, Greenville, North Carolina, United States
| | - Nicholas T Broskey
- Department of Kinesiology, East Carolina University, Greenville, North Carolina, United States
- Human Performance Laboratory, East Carolina University, Greenville, North Carolina, United States
- East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, North Carolina, United States
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10
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Parstorfer M, Poschet G, Kronsteiner D, Brüning K, Friedmann-Bette B. Targeted Metabolomics in High Performance Sports: Differences between the Resting Metabolic Profile of Endurance- and Strength-Trained Athletes in Comparison with Sedentary Subjects over the Course of a Training Year. Metabolites 2023; 13:833. [PMID: 37512540 PMCID: PMC10383823 DOI: 10.3390/metabo13070833] [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: 06/14/2023] [Revised: 07/03/2023] [Accepted: 07/07/2023] [Indexed: 07/30/2023] Open
Abstract
Little is known about the metabolic differences between endurance and strength athletes in comparison with sedentary subjects under controlled conditions and about variation of the metabolome throughout one year. We hypothesized that (1) the resting metabolic profile differs between sedentary subjects and athletes and between perennially endurance- and strength-trained athletes and (2) varies throughout one year of training. We performed quantitative, targeted metabolomics (Biocrates MxP® Quant 500, Biocrates Life Sciences AG, Innsbruck, Austria) in plasma samples at rest in three groups of male adults, 12 strength-trained (weightlifters, 20 ± 3 years), 10 endurance-trained athletes (runners, 24 ± 3 years), and 12 sedentary subjects (25 ± 4 years) at the end of three training phases (regeneration, preparation, and competition) within one training year. Performance and anthropometric data showed significant (p < 0.05) differences between the groups. Metabolomic analysis revealed different resting metabolic profiles between the groups with acetylcarnitines, di- and triacylglycerols, and glycerophospho- and sphingolipids, as well as several amino acids as the most robust metabolites. Furthermore, we observed changes in free carnitine and 3-methylhistidine in strength-trained athletes throughout the training year. Regular endurance or strength training induces changes in the concentration of several metabolites associated with adaptations of the mitochondrial energy and glycolytic metabolism with concomitant changes in amino acid metabolism and cell signaling.
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Affiliation(s)
- Mario Parstorfer
- Department of Sports Medicine, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Olympic Training Centre Rhine-Neckar, 69120 Heidelberg, Germany
| | - Gernot Poschet
- Centre for Organismal Studies, Heidelberg University, 69120 Heidelberg, Germany
| | - Dorothea Kronsteiner
- Institute of Medical Biometry and Informatics, University of Heidelberg, 69120 Heidelberg, Germany
| | - Kirsten Brüning
- Olympic Training Centre Rhine-Neckar, 69120 Heidelberg, Germany
| | - Birgit Friedmann-Bette
- Department of Sports Medicine, University Hospital Heidelberg, 69120 Heidelberg, Germany
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11
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Xie F, Song Y, Yi Y, Jiang X, Ma S, Ma C, Li J, Zhanghuang Z, Liu M, Zhao P, Ma X. Therapeutic Potential of Molecular Hydrogen in Metabolic Diseases from Bench to Bedside. Pharmaceuticals (Basel) 2023; 16:ph16040541. [PMID: 37111299 PMCID: PMC10141176 DOI: 10.3390/ph16040541] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 03/26/2023] [Accepted: 03/29/2023] [Indexed: 04/29/2023] Open
Abstract
Oxidative stress and chronic inflammation have been implicated in the pathophysiology of metabolic diseases, including diabetes mellitus (DM), metabolic syndrome (MS), fatty liver (FL), atherosclerosis (AS), and obesity. Molecular hydrogen (H2) has long been considered a physiologically inert gas. In the last two decades, accumulating evidence from pre-clinical and clinical studies has indicated that H2 may act as an antioxidant to exert therapeutic and preventive effects on various disorders, including metabolic diseases. However, the mechanisms underlying the action of H2 remain unclear. The purpose of this review was to (1) provide an overview of the current research on the potential effects of H2 on metabolic diseases; (2) discuss the possible mechanisms underlying these effects, including the canonical anti-oxidative, anti-inflammatory, and anti-apoptotic effects, as well as suppression of ER stress, activation of autophagy, improvement of mitochondrial function, regulation of gut microbiota, and other possible mechanisms. The potential target molecules of H2 will also be discussed. With more high-quality clinical trials and in-depth mechanism research, it is believed that H2 will eventually be applied to clinical practice in the future, to benefit more patients with metabolic disease.
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Affiliation(s)
- Fei Xie
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing Molecular Hydrogen Research Center, Beijing 100124, China
| | - Yifei Song
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing Molecular Hydrogen Research Center, Beijing 100124, China
| | - Yang Yi
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing Molecular Hydrogen Research Center, Beijing 100124, China
| | - Xue Jiang
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing Molecular Hydrogen Research Center, Beijing 100124, China
| | - Shiwen Ma
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing Molecular Hydrogen Research Center, Beijing 100124, China
| | - Chen Ma
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing Molecular Hydrogen Research Center, Beijing 100124, China
| | - Junyu Li
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing Molecular Hydrogen Research Center, Beijing 100124, China
| | - Ziyi Zhanghuang
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing Molecular Hydrogen Research Center, Beijing 100124, China
| | - Mengyu Liu
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing Molecular Hydrogen Research Center, Beijing 100124, China
| | - Pengxiang Zhao
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing Molecular Hydrogen Research Center, Beijing 100124, China
| | - Xuemei Ma
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing Molecular Hydrogen Research Center, Beijing 100124, China
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12
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Vogt ÉL, Von Dentz MC, Rocha DS, Model JFA, Kowalewski LS, Silveira D, de Amaral M, de Bittencourt Júnior PIH, Kucharski LC, Krause M, Vinagre AS. Acute effects of a single moderate-intensity exercise bout performed in fast or fed states on cell metabolism and signaling: Comparison between lean and obese rats. Life Sci 2023; 315:121357. [PMID: 36634864 DOI: 10.1016/j.lfs.2022.121357] [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: 09/06/2022] [Revised: 12/15/2022] [Accepted: 12/28/2022] [Indexed: 01/11/2023]
Abstract
AIMS Although the benefits of exercise can be potentiated by fasting in healthy subjects, few studies evaluated the effects of this intervention on the metabolism of obese subjects. This study investigated the immediate effects of a single moderate-intensity exercise bout performed in fast or fed states on the metabolism of gastrocnemius and soleus of lean and obese rats. MAIN METHODS Male rats received a high-fat diet (HFD) for twelve weeks to induce obesity or were fed standard diet (SD). After this period, the animals were subdivided in groups: fed and rest (FER), fed and exercise (30 min treadmill, FEE), 8 h fasted and rest (FAR) and fasted and exercise (FAE). Muscle samples were used to investigate the oxidative capacity and gene expression of AMPK, PGC1α, SIRT1, HSF1 and HSP70. KEY FINDINGS In relation to lean animals, obese animals' gastrocnemius glycogen decreased 60 %, triglycerides increased 31 %; glucose and alanine oxidation decreased 26 % and 38 %, respectively; in soleus, triglycerides reduced 46 % and glucose oxidation decreased 37 %. Exercise and fasting induced different effects in glycolytic and oxidative muscles of obese rats. In soleus, fasting exercise spared glycogen and increased palmitate oxidation, while in gastrocnemius, glucose oxidation increased. In obese animals' gastrocnemius, AMPK expression decreased 29 % and SIRT1 increased 28 % in relation to lean. The AMPK response was more sensitive to exercise and fasting in lean than obese rats. SIGNIFICANCE Exercise and fasting induced different effects on the metabolism of glycolytic and oxidative muscles of obese rats that can promote health benefits in these animals.
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Affiliation(s)
- Éverton Lopes Vogt
- Comparative Endocrinology and Metabolism Laboratory (LAMEC), Department of Physiology, Institute of Basic Health Sciences (ICBS), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Graduate Program in Biological Sciences: Physiology, Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Maiza Cristina Von Dentz
- Comparative Endocrinology and Metabolism Laboratory (LAMEC), Department of Physiology, Institute of Basic Health Sciences (ICBS), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Graduate Program in Biological Sciences: Physiology, Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Débora Santos Rocha
- Comparative Endocrinology and Metabolism Laboratory (LAMEC), Department of Physiology, Institute of Basic Health Sciences (ICBS), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Graduate Program in Biological Sciences: Physiology, Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Jorge Felipe Argenta Model
- Comparative Endocrinology and Metabolism Laboratory (LAMEC), Department of Physiology, Institute of Basic Health Sciences (ICBS), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Graduate Program in Biological Sciences: Physiology, Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Lucas Stahlhöfer Kowalewski
- Laboratory of Inflammation, Metabolism and Exercise Research (LAPIMEX), Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil; Graduate Program in Biological Sciences: Physiology, Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil; Laboratory of Cellular Physiology, Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Diane Silveira
- Comparative Endocrinology and Metabolism Laboratory (LAMEC), Department of Physiology, Institute of Basic Health Sciences (ICBS), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Graduate Program in Biological Sciences: Physiology, Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Marjoriane de Amaral
- Comparative Endocrinology and Metabolism Laboratory (LAMEC), Department of Physiology, Institute of Basic Health Sciences (ICBS), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Graduate Program in Biological Sciences: Physiology, Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Paulo Ivo Homem de Bittencourt Júnior
- Laboratory of Inflammation, Metabolism and Exercise Research (LAPIMEX), Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil; Graduate Program in Biological Sciences: Physiology, Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil; Laboratory of Cellular Physiology, Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Luiz Carlos Kucharski
- Comparative Endocrinology and Metabolism Laboratory (LAMEC), Department of Physiology, Institute of Basic Health Sciences (ICBS), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Graduate Program in Biological Sciences: Physiology, Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Mauricio Krause
- Laboratory of Inflammation, Metabolism and Exercise Research (LAPIMEX), Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil; Graduate Program in Biological Sciences: Physiology, Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil; Laboratory of Cellular Physiology, Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Anapaula Sommer Vinagre
- Comparative Endocrinology and Metabolism Laboratory (LAMEC), Department of Physiology, Institute of Basic Health Sciences (ICBS), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Graduate Program in Biological Sciences: Physiology, Department of Physiology, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.
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13
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Alleviation of Cognitive and Physical Fatigue with Enzymatic Porcine Placenta Hydrolysate Intake through Reducing Oxidative Stress and Inflammation in Intensely Exercised Rats. BIOLOGY 2022; 11:biology11121739. [PMID: 36552249 PMCID: PMC9774658 DOI: 10.3390/biology11121739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 11/22/2022] [Accepted: 11/25/2022] [Indexed: 12/04/2022]
Abstract
Intense exercise is reported to induce physical and cognitive fatigue, but few studies have focused on treatments to alleviate fatigue. We hypothesized that the oral supplementation of enzymatic porcine placenta hydrolysate (EPPH) prepared using protease enzymes could alleviate exercise-induced fatigue in an animal model. The objectives of the study were to examine the hypothesis and the action mechanism of EPPH in relieving physical and cognitive fatigue. Fifty male Sprague−Dawley rats aged 8 weeks (body weight: 201 g) were classified into five groups, and rats in each group were given oral distilled water, EPPH (5 mg nitrogen/mL) at doses of 0.08, 0.16, or 0.31 mL/kg body weight (BW)/day, or glutathione (100 mg/kg BW/day) by a feeding needle for 5 weeks, which were named as the control, L-EPPH, M-EPPH, H-EPPH, or positive-control groups, respectively. Ten additional rats had no intense exercise with water administration and were designated as the no-exercise group. After 2 weeks, the rats were subjected to intense exercise and forced swimming trial for 30 min once per week for an additional 4 weeks. At 5 min after the intense exercise, lactate concentrations and lactate dehydrogenase (LDH) activity in the serum and the gastrocnemius muscle were higher in the control group, whereas M-EPPH and H-EPPH treatments suppressed the increase better than in the positive-control (p < 0.05). Intense exercise decreased glycogen content in the liver and gastrocnemius muscle, and M-EPPH and H-EPPH inhibited the decrement (p < 0.05). Moreover, lipid peroxide contents in the gastrocnemius muscle and liver were higher in the control group than in the M-EPPH, H-EPPH, positive-control, and no-exercise groups (p < 0.05). However, antioxidant enzyme activities such as superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) were opposite to the lipid peroxide contents. Hypothalamic corticosterone and hippocampal mRNA expressions of tumor necrosis factor (TNF)-α and IL-1β were higher. However, hippocampal brain-derived neurotrophic factor (BDNF) mRNA expression and protein contents were lower in the control group than in the positive-control group. M-EPPH, H-EPPH, and positive-control suppressed the changes via activating hippocampal cAMP response element-binding protein phosphorylation, and H-EPPH showed better activity than in the positive-control (p < 0.05). In conclusion, EPPH (0.16−0.31 mL/kg BW) intake reduced exercise-induced physical and cognitive fatigue in rats and could potentially be developed as a therapeutic agent for relieving fatigue in humans.
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14
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Kano R, Sato K. The Relationship between Training Cycle-Dependent Fluctuations in Resting Blood Lactate Levels and Exercise Performance in College-Aged Rugby Players. J Funct Morphol Kinesiol 2022; 7:jfmk7040093. [PMID: 36278754 PMCID: PMC9589951 DOI: 10.3390/jfmk7040093] [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: 09/07/2022] [Revised: 10/14/2022] [Accepted: 10/18/2022] [Indexed: 11/07/2022] Open
Abstract
An increase in resting blood lactate (La-) concentration due to metabolic conditions has been reported. However, it is not clear whether resting La- changes with training cycles in athletes. The purpose of this study was to test the hypotheses that (1) the morning resting La- levels are lower in periods of high training compared to periods of low training and (2) these changes in La- concentration are related to athletes' metabolic capacity during exercise in male college-aged rugby players. Resting La- and blood glucose concentrations were measured in the morning in eight league rugby players during the summer pre-season period (Pre-period), the training and competition season period (TC-period), and the winter post-season period (Post-period). In each period, anaerobic power, La- concentration, and respiratory responses were measured during the 40 s maximal Wingate anaerobic test (WT). The resting La- concentration in the morning was significantly lower in the TC-Period (1.9 ± 0.6 mmol/L) than in the Post-Period (2.3 ± 0.9 mmol/L). The rate of decrease in La- level immediately after the 40 s WT was significantly higher in the TC-Period than in the Post-Period. The resting La- concentration was significantly correlated with the peak oxygen uptake and the carbon dioxide output during the WT. These results support the hypothesis that an athlete's training cycle (i.e., in season and off season) influences the resting La- levels as well as the metabolic capacity during high-intensity exercise. The monitoring of resting La- fluctuations may provide a convenient indication of the training cycle-dependent metabolic capacity in athletes.
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Affiliation(s)
- Ryotaro Kano
- Graduate School of Education, Tokyo Gakugei University, Tokyo 184-8501, Japan
| | - Kohei Sato
- Department of Health and Physical Education, Tokyo Gakugei University, Tokyo 184-8501, Japan
- Correspondence:
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15
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Liu YZ, Li ZX, Zhang LL, Wang D, Liu YP. Phenotypic plasticity of vascular smooth muscle cells in vascular calcification: Role of mitochondria. Front Cardiovasc Med 2022; 9:972836. [PMID: 36312244 PMCID: PMC9597684 DOI: 10.3389/fcvm.2022.972836] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 09/20/2022] [Indexed: 12/02/2022] Open
Abstract
Vascular calcification (VC) is an important hallmark of cardiovascular disease, the osteo-/chondrocyte phenotype differentiation of vascular smooth muscle cells (VSMCs) is the main cause of vascular calcification. Accumulating evidence shows that mitochondrial dysfunction may ultimately be more detrimental in the VSMCs calcification. Mitochondrial participate in essential cellular functions, including energy production, metabolism, redox homeostasis regulation, intracellular calcium homeostasis, apoptosis, and signal transduction. Mitochondrial dysfunction under pathological conditions results in mitochondrial reactive oxygen species (ROS) generation and metabolic disorders, which further lead to abnormal phenotypic differentiation of VSMCs. In this review, we summarize existing studies targeting mitochondria as a treatment for VC, and focus on VSMCs, highlighting recent progress in determining the roles of mitochondrial processes in regulating the phenotype transition of VSMCs, including mitochondrial biogenesis, mitochondrial dynamics, mitophagy, mitochondrial energy metabolism, and mitochondria/ER interactions. Along these lines, the impact of mitochondrial homeostasis on VC is discussed.
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16
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Metformin: Expanding the Scope of Application-Starting Earlier than Yesterday, Canceling Later. Int J Mol Sci 2022; 23:ijms23042363. [PMID: 35216477 PMCID: PMC8875586 DOI: 10.3390/ijms23042363] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/29/2022] [Accepted: 02/18/2022] [Indexed: 12/15/2022] Open
Abstract
Today the area of application of metformin is expanding, and a wealth of data point to its benefits in people without carbohydrate metabolism disorders. Already in the population of people leading an unhealthy lifestyle, before the formation of obesity and prediabetes metformin smooths out the adverse effects of a high-fat diet. Being prescribed at this stage, metformin will probably be able to, if not prevent, then significantly reduce the progression of all subsequent metabolic changes. To a large extent, this review will discuss the proofs of the evidence for this. Another recent important change is a removal of a number of restrictions on its use in patients with heart failure, acute coronary syndrome and chronic kidney disease. We will discuss the reasons for these changes and present a new perspective on the role of increasing lactate in metformin therapy.
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17
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A Competitive Sprinter's Resting Blood Lactate Levels Fluctuate with a One-Year Training Cycle: Case Reports. J Funct Morphol Kinesiol 2021; 6:jfmk6040095. [PMID: 34842747 PMCID: PMC8628947 DOI: 10.3390/jfmk6040095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 11/16/2021] [Accepted: 11/19/2021] [Indexed: 12/16/2022] Open
Abstract
It has been reported that the variability of resting blood lactate concentration (BLa) is related to metabolic capacity. However, it is unclear whether the resting BLa of athletes can be utilized as a metabolic biomarker. This longitudinal case study tested the hypothesis that resting BLa levels in the morning fluctuate with a 1-year training cycle. The subject was an adult male sprinter, and BLa and blood glucose at the time of waking were measured every day for 1 year. The training cycles were divided into five phases: 1. Basic training: high-intensity and high-volume load; 2. Condition and speed training: high-intensity and low-volume load; 3. Competition training I: track race and high-intensity load; 4. Conditioning for injury; 5. Competition training II. The mean BLa levels in the basic training (1.10 ± 0.32 mmol/L and competition training I (1.06 ± 0.28 mmol/L) phases were significantly lower than in the condition and speed training (1.26 ± 0.40 mmol/L) and conditioning injury (1.37 ± 0.34 mmol/L) phases. The clarified training cycle dependence of resting BLa is suggested to be related to the ability to utilize lactate as an energy substrate with fluctuations in oxidative metabolic capacity. This case report supports the tentative hypothesis that resting BLa may be a biomarker index linked to the metabolic capacity according to the training cycle.
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18
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Sakanaka A, Kuboniwa M, Katakami N, Furuno M, Nishizawa H, Omori K, Taya N, Ishikawa A, Mayumi S, Tanaka Isomura E, Shimomura I, Fukusaki E, Amano A. Saliva and Plasma Reflect Metabolism Altered by Diabetes and Periodontitis. Front Mol Biosci 2021; 8:742002. [PMID: 34589520 PMCID: PMC8473679 DOI: 10.3389/fmolb.2021.742002] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 08/25/2021] [Indexed: 12/28/2022] Open
Abstract
Periodontitis is an inflammatory disorder caused by disintegration of the balance between the periodontal microbiome and host response. While growing evidence suggests links between periodontitis and various metabolic disorders including type 2 diabetes (T2D), non-alcoholic liver disease, and cardiovascular disease (CVD), which often coexist in individuals with abdominal obesity, factors linking periodontal inflammation to common metabolic alterations remain to be fully elucidated. More detailed characterization of metabolomic profiles associated with multiple oral and cardiometabolic traits may provide better understanding of the complexity of oral-systemic crosstalk and its underlying mechanism. We performed comprehensive profiling of plasma and salivary metabolomes using untargeted gas chromatography/mass spectrometry to investigate multivariate covariation with clinical markers of oral and systemic health in 31 T2D patients with metabolic comorbidities and 30 control subjects. Orthogonal partial least squares (OPLS) results enabled more accurate characterization of associations among 11 oral and 25 systemic clinical outcomes, and 143 salivary and 78 plasma metabolites. In particular, metabolites that reflect cardiometabolic changes were identified in both plasma and saliva, with plasma and salivary ratios of (mannose + allose):1,5-anhydroglucitol achieving areas under the curve of 0.99 and 0.92, respectively, for T2D diagnosis. Additionally, OPLS analysis of periodontal inflamed surface area (PISA) as the numerical response variable revealed shared and unique responses of metabolomic and clinical markers to PISA between healthy and T2D groups. When combined with linear regression models, we found a significant correlation between PISA and multiple metabolites in both groups, including threonate, cadaverine and hydrocinnamate in saliva, as well as lactate and pentadecanoic acid in plasma, of which plasma lactate showed a predominant trend in the healthy group. Unique metabolites associated with PISA in the T2D group included plasma phosphate and salivary malate, while those in the healthy group included plasma gluconate and salivary adenosine. Remarkably, higher PISA was correlated with altered hepatic lipid metabolism in both groups, including higher levels of triglycerides, aspartate aminotransferase and alanine aminotransferase, leading to increased risk of cardiometabolic disease based on a score summarizing levels of CVD-related biomarkers. These findings revealed the potential utility of saliva for evaluating the risk of metabolic disorders without need for a blood test, and provide evidence that disrupted liver lipid metabolism may underlie the link between periodontitis and cardiometabolic disease.
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Affiliation(s)
- Akito Sakanaka
- Department of Preventive Dentistry, Osaka University Graduate School of Dentistry, Osaka, Japan
| | - Masae Kuboniwa
- Department of Preventive Dentistry, Osaka University Graduate School of Dentistry, Osaka, Japan
| | - Naoto Katakami
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Masahiro Furuno
- Department of Biotechnology, Osaka University Graduate School of Engineering, Osaka, Japan
| | - Hitoshi Nishizawa
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Kazuo Omori
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Naohiro Taya
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Asuka Ishikawa
- Department of Preventive Dentistry, Osaka University Graduate School of Dentistry, Osaka, Japan
| | - Shota Mayumi
- Department of Preventive Dentistry, Osaka University Graduate School of Dentistry, Osaka, Japan
| | - Emiko Tanaka Isomura
- First Department of Oral and Maxillofacial Surgery, Osaka University Graduate School of Dentistry, Osaka, Japan
| | - Iichiro Shimomura
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Eiichiro Fukusaki
- Department of Biotechnology, Osaka University Graduate School of Engineering, Osaka, Japan
| | - Atsuo Amano
- Department of Preventive Dentistry, Osaka University Graduate School of Dentistry, Osaka, Japan
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19
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Komilova NR, Angelova PR, Berezhnov AV, Stelmashchuk OA, Mirkhodjaev UZ, Houlden H, Gourine AV, Esteras N, Abramov AY. Metabolically induced intracellular pH changes activate mitophagy, autophagy, and cell protection in familial forms of Parkinson's disease. FEBS J 2021; 289:699-711. [PMID: 34528385 DOI: 10.1111/febs.16198] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 08/26/2021] [Accepted: 09/13/2021] [Indexed: 12/29/2022]
Abstract
Parkinson's disease (PD) is a progressive neurodegenerative disorder induced by the loss of dopaminergic neurons in midbrain. The mechanism of neurodegeneration is associated with aggregation of misfolded proteins, oxidative stress, and mitochondrial dysfunction. Considering this, the process of removal of unwanted organelles or proteins by autophagy is vitally important in neurons, and activation of these processes could be protective in PD. Short-time acidification of the cytosol can activate mitophagy and autophagy. Here, we used sodium pyruvate and sodium lactate to induce changes in intracellular pH in human fibroblasts with PD mutations (Pink1, Pink1/Park2, α-synuclein triplication, A53T). We have found that both lactate and pyruvate in millimolar concentrations can induce a short-time acidification of the cytosol in these cells. This induced activation of mitophagy and autophagy in control and PD fibroblasts and protected against cell death. Importantly, application of lactate to acute brain slices of WT and Pink1 KO mice also induced a reduction of pH in neurons and astrocytes that increased the level of mitophagy. Thus, acidification of the cytosol by compounds, which play an important role in cell metabolism, can also activate mitophagy and autophagy and protect cells in the familial form of PD.
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Affiliation(s)
- Nafisa R Komilova
- Department of Biophysics, National University of Uzbekistan, Tashkent, Uzbekistan
| | - Plamena R Angelova
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
| | - Alexey V Berezhnov
- Institute of Cell Biophysics of the Russian Academy of Sciences, Pushchino, Russia.,Cell Physiology and Pathology Laboratory, Orel State University, Russia
| | | | | | - Henry Houlden
- Department of Neurodegenerative diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Alexander V Gourine
- Department of Neuroscience, Physiology, Pharmacology, University College London, UK
| | - Noemi Esteras
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
| | - Andrey Y Abramov
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK.,Cell Physiology and Pathology Laboratory, Orel State University, Russia
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20
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Abstract
Since ancient times, the health benefits of regular physical activity/exercise have been recognized and the classic studies of Morris and Paffenbarger provided the epidemiological evidence in support of such an association. Cardiorespiratory fitness, often measured by maximal oxygen uptake, and habitual physical activity levels are inversely related to mortality. Thus, studies exploring the biological bases of the health benefits of exercise have largely focused on the cardiovascular system and skeletal muscle (mass and metabolism), although there is increasing evidence that multiple tissues and organ systems are influenced by regular exercise. Communication between contracting skeletal muscle and multiple organs has been implicated in exercise benefits, as indeed has other interorgan "cross-talk." The application of molecular biology techniques and "omics" approaches to questions in exercise biology has opened new lines of investigation to better understand the beneficial effects of exercise and, in so doing, inform the optimization of exercise regimens and the identification of novel therapeutic strategies to enhance health and well-being.
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Affiliation(s)
- Mark Hargreaves
- Department of Anatomy & Physiology, The University of Melbourne, Melbourne, Victoria, Australia
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21
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Shi D, Yan R, Lv L, Jiang H, Lu Y, Sheng J, Xie J, Wu W, Xia J, Xu K, Gu S, Chen Y, Huang C, Guo J, Du Y, Li L. The serum metabolome of COVID-19 patients is distinctive and predictive. Metabolism 2021; 118:154739. [PMID: 33662365 PMCID: PMC7920809 DOI: 10.1016/j.metabol.2021.154739] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 02/15/2021] [Accepted: 02/19/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Metabolism is critical for sustaining life, immunity and infection, but its role in COVID-19 is not fully understood. METHODS Seventy-nine COVID-19 patients, 78 healthy controls (HCs) and 30 COVID-19-like patients were recruited in a prospective cohort study. Samples were collected from COVID-19 patients with mild or severe symptoms on admission, patients who progressed from mild to severe symptoms, and patients who were followed from hospital admission to discharge. The metabolome was assayed using gas chromatography-mass spectrometry. RESULTS Serum butyric acid, 2-hydroxybutyric acid, l-glutamic acid, l-phenylalanine, l-serine, l-lactic acid, and cholesterol were enriched in COVID-19 and COVID-19-like patients versus HCs. Notably, d-fructose and succinic acid were enriched, and citric acid and 2-palmitoyl-glycerol were depleted in COVID-19 patients compared to COVID-19-like patients and HCs, and these four metabolites were not differentially distributed in non-COVID-19 groups. COVID-19 patients had enriched 4-deoxythreonic acid and depleted 1,5-anhydroglucitol compared to HCs and enriched oxalic acid and depleted phosphoric acid compared to COVID-19-like patients. A combination of d-fructose, citric acid and 2-palmitoyl-glycerol distinguished COVID-19 patients from HCs and COVID-19-like patients, with an area under the curve (AUC) > 0.92 after validation. The combination of 2-hydroxy-3-methylbutyric acid, 3-hydroxybutyric acid, cholesterol, succinic acid, L-ornithine, oleic acid and palmitelaidic acid predicted patients who progressed from mild to severe COVID-19, with an AUC of 0.969. After discharge, nearly one-third of metabolites were recovered in COVID-19 patients. CONCLUSIONS The serum metabolome of COVID-19 patients is distinctive and has important value in investigating pathogenesis, determining a diagnosis, predicting severe cases, and improving treatment.
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Affiliation(s)
- Ding Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Ren Yan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Longxian Lv
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.
| | - Huiyong Jiang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Yingfeng Lu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Jifang Sheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Jiaojiao Xie
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Wenrui Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Jiafeng Xia
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Kaijin Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Silan Gu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Yanfei Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Chenjie Huang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Jing Guo
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Yiling Du
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China; Institute of Pharmaceutical Biotechnology and The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.
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22
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Comparison of Dual Beam Dispersive and FTNIR Spectroscopy for Lactate Detection. SENSORS 2021; 21:s21051891. [PMID: 33800350 PMCID: PMC7962825 DOI: 10.3390/s21051891] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 03/01/2021] [Accepted: 03/04/2021] [Indexed: 12/12/2022]
Abstract
Near Infrared (800–2500 nm) spectroscopy has been extensively used in biomedical applications, as it offers rapid, in vivo, bed-side monitoring of important haemodynamic parameters, which is especially important in critical care settings. However, the choice of NIR spectrometer needs to be investigated for biomedical applications, as both the dual beam dispersive spectrophotomer and the FTNIR spectrometer have their own advantages and disadvantages. In this study, predictive analysis of lactate concentrations in whole blood were undertaken using multivariate techniques on spectra obtained from the two spectrometer types simultaneously and results were compared. Results showed significant improvement in predicting analyte concentration when analysis was performed on full range spectral data. This is in comparison to analysis of limited spectral regions or lactate signature peaks, which yielded poorer prediction models. Furthermore, for the same region, FTNIR showed 10% better predictive capability than the dual beam dispersive NIR spectrometer.
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23
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Broskey NT, Pories WJ, Jones TE, Tanner CJ, Zheng D, Cortright RN, Yang ZW, Khang N, Yang J, Houmard JA, Lynis Dohm G. The association between lactate and muscle aerobic substrate oxidation: Is lactate an early marker for metabolic disease in healthy subjects? Physiol Rep 2021; 9:e14729. [PMID: 33527749 PMCID: PMC7851428 DOI: 10.14814/phy2.14729] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 12/17/2020] [Accepted: 12/20/2020] [Indexed: 11/24/2022] Open
Abstract
Fasting plasma lactate concentrations are elevated in individuals with metabolic disease. The aim of this study was to determine if the variance in fasting lactate concentrations were associated with factors linked with cardiometabolic health even in a young, lean cohort. Young (age 22 ± 0.5; N = 30) lean (BMI (22.4 ± 0.4 kg/m2) women were assessed for waist‐to‐hip ratio, aerobic capacity (VO2peak), skeletal muscle oxidative capacity (near infrared spectroscopy; fat oxidation from muscle biopsies), and fasting glucose and insulin (HOMA‐IR). Subjects had a mean fasting lactate of 0.9 ± 0.1 mmol/L. The rate of deoxygenation of hemoglobin/myoglobin (R2 = .23, p = .03) in resting muscle and skeletal muscle homogenate fatty acid oxidation (R2 = .72, p = .004) were inversely associated with fasting lactate. Likewise, cardiorespiratory fitness (time to exhaustion during the VO2peak test) was inversely associated with lactate (R2 = .20, p = .05). Lactate concentration was inversely correlated with HDL:LDL (R2 = .57, p = .02) and positively correlated with the waist to hip ratio (R2 = .52, p = .02). Plasma lactate was associated with various indices of cardiometabolic health. Thus, early determination of fasting lactate concentration could become a common biomarker used for identifying individuals at early risk for metabolic diseases.
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Affiliation(s)
- Nicholas T Broskey
- Department of Kinesiology, East Carolina University, Greenville, North Carolina, USA.,Department of Human Performance Laboratory, East Carolina University, Greenville, North Carolina, USA.,Department of Diabetes, Obesity Institute, East Carolina University, Greenville, North Carolina, USA
| | - Walter J Pories
- Department of Diabetes, Obesity Institute, East Carolina University, Greenville, North Carolina, USA.,Department of Surgery, East Carolina University, Greenville, North Carolina, USA
| | - Terry E Jones
- Department of Diabetes, Obesity Institute, East Carolina University, Greenville, North Carolina, USA.,Department of Physical Therapy, East Carolina University, Greenville, North Carolina, USA
| | - Charles J Tanner
- Department of Kinesiology, East Carolina University, Greenville, North Carolina, USA.,Department of Human Performance Laboratory, East Carolina University, Greenville, North Carolina, USA.,Department of Diabetes, Obesity Institute, East Carolina University, Greenville, North Carolina, USA
| | - Donghai Zheng
- Department of Kinesiology, East Carolina University, Greenville, North Carolina, USA.,Department of Human Performance Laboratory, East Carolina University, Greenville, North Carolina, USA.,Department of Diabetes, Obesity Institute, East Carolina University, Greenville, North Carolina, USA
| | - Ronald N Cortright
- Department of Kinesiology, East Carolina University, Greenville, North Carolina, USA.,Department of Human Performance Laboratory, East Carolina University, Greenville, North Carolina, USA.,Department of Diabetes, Obesity Institute, East Carolina University, Greenville, North Carolina, USA
| | - Zhen W Yang
- Department of Kinesiology, East Carolina University, Greenville, North Carolina, USA.,Department of Human Performance Laboratory, East Carolina University, Greenville, North Carolina, USA
| | - Nkaujyi Khang
- Department of Kinesiology, East Carolina University, Greenville, North Carolina, USA.,Department of Human Performance Laboratory, East Carolina University, Greenville, North Carolina, USA
| | - Josh Yang
- Department of Physiology, East Carolina University, Greenville, North Carolina, USA
| | - Joseph A Houmard
- Department of Kinesiology, East Carolina University, Greenville, North Carolina, USA.,Department of Human Performance Laboratory, East Carolina University, Greenville, North Carolina, USA.,Department of Diabetes, Obesity Institute, East Carolina University, Greenville, North Carolina, USA
| | - G Lynis Dohm
- Department of Diabetes, Obesity Institute, East Carolina University, Greenville, North Carolina, USA.,Department of Physiology, East Carolina University, Greenville, North Carolina, USA
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