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Li LY, Li SM, Pang BX, Wei JP, Wang QH. Effects of exercise training on glucose metabolism indicators and inflammatory markers in obese children and adolescents: A meta-analysis. World J Diabetes 2024; 15:1353-1366. [DOI: 10.4239/wjd.v15.i6.1353] [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: 12/30/2023] [Revised: 02/07/2024] [Accepted: 03/26/2024] [Indexed: 06/11/2024] Open
Abstract
BACKGROUND Obesity in children and adolescents is a serious problem, and the efficacy of exercise therapy for these patients is controversial.
AIM To assess the efficacy of exercise training on overweight and obese children based on glucose metabolism indicators and inflammatory markers.
METHODS The PubMed, Web of Science, and Embase databases were searched for ran-domized controlled trials related to exercise training and obese children until October 2023. The meta-analysis was conducted using RevMan 5.3 software to evaluate the efficacy of exercise therapy on glucose metabolism indicators and inflammatory markers in obese children.
RESULTS In total, 1010 patients from 28 studies were included. Exercise therapy reduced the levels of fasting blood glucose (FBG) [standardized mean difference (SMD): -0.78; 95% confidence interval (CI): -1.24 to -0.32, P = 0.0008], fasting insulin (FINS) (SMD: -1.55; 95%CI: -2.12 to -0.98, P < 0.00001), homeostatic model assessment for insulin resistance (HOMA-IR) (SMD: -1.58; 95%CI: -2.20 to -0.97, P < 0.00001), interleukin-6 (IL-6) (SMD: -1.31; 95%CI: -2.07 to -0.55, P = 0.0007), C-reactive protein (CRP) (SMD: -0.64; 95%CI: -1.21 to -0.08, P = 0.03), and leptin (SMD: -3.43; 95%CI: -5.82 to -1.05, P = 0.005) in overweight and obese children. Exercise training increased adiponectin levels (SMD: 1.24; 95%CI: 0.30 to 2.18, P = 0.01) but did not improve tumor necrosis factor-alpha (TNF-α) levels (SMD: -0.80; 95%CI: -1.77 to 0.18, P = 0.11).
CONCLUSION In summary, exercise therapy improves glucose metabolism by reducing levels of FBG, FINS, HOMA-IR, as well as improves inflammatory status by reducing levels of IL-6, CRP, leptin, and increasing levels of adiponectin in overweight and obese children. There was no statistically significant effect between exercise training and levels of TNF-α. Additional long-term trials should be conducted to explore this therapeutic perspective and confirm these results.
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Affiliation(s)
- Le-Yang Li
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Song-Mei Li
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Bo-Xian Pang
- Graduate School, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Jun-Ping Wei
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Qiu-Hong Wang
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
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Grzelak N, Kaczmarek D, Mrówczyński W. Comparison of the effects of BDNF/TRKB signalling on metabolic biomarkers in the liver of sedentary and trained rats with normal and knockout BDNF genotypes. Front Physiol 2023; 14:1268648. [PMID: 38152248 PMCID: PMC10751318 DOI: 10.3389/fphys.2023.1268648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 12/04/2023] [Indexed: 12/29/2023] Open
Abstract
Introduction: The effect of brain-derived neurotrophic factor (BDNF) on the modulation of metabolic processes in the liver is poorly understood. Therefore, the aim of this study was to investigate whether hepatic concentrations or activities of metabolic biomarkers depend on altered BDNF/TrkB content in the liver, resulting from different BDNF genotypes of rats. In addition, it was assessed whether 5-week moderate endurance training modifies the levels of BDNF/Trk-B signaling and studied hepatic markers. Methods: Experiments were performed on wild-type and heterozygous BDNF knockout (HET, SD-Bdnf) rats, which were divided into four groups: control with normal genotype (Bdnf+/+), control with BDNF knockout genotype (Bdnf+/-), trained with normal genotype (Bdnf+/+T) and trained with BDNF knockout genotype (Bdnf +/-T). BDNF/TrkB concentrations as well as selected metabolic biomarkers including lipids-total cholesterol (CHOL), low-density lipoprotein (LDL), triglycerides (TG); enzymes-alanine aminotransferase (ALAT), aspartate aminotransferase (ASAT), gamma-glutamyl transferase (GGT), lactate dehydrogenase (LDH), alkaline phosphatase (ALP); hormones-insulin (INS) and leptin (LEPT) as well as interleukin-6 (IL-6) as regeneration indicator were measured directly in liver homogenates. Results and Discussion: The study showed that Bdnf+/- rats exhibited reduced BDNF/TrkB signaling (BDNF, p < 0.0001; Trk-B, p = 0.0005), altered lipid levels (CHOL, p < 0.0001; LDL, p < 0.0001; TG, p = 0.0006) and reduced hepatic ALAT (p = 0.0004) and GGT (p < 0.0001) activity, which may contribute to hepatic steatosis and obesity, as well as indicate impairment of specific metabolic pathways in the liver. Interestingly, endurance training did not alter hepatic BDNF and TrkB content, but improved ALAT (p = 0.0366) and ASAT (p = 0.0191) activities and increased hepatic IL-6 (p = 0.0422) levels in Bdnf +/- rats, suggesting enhanced liver regeneration in animals with BDNF allele loss.
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Affiliation(s)
- Norbert Grzelak
- Department of Neurobiology, Poznań University of Physical Education, Poznań, Poland
| | - Dominik Kaczmarek
- Department of Physiology and Biochemistry, Poznań University of Physical Education, Poznań, Poland
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Tas E, Landes RD, Diaz EC, Bai S, Ou X, Buchmann R, Na X, Muzumdar R, Børsheim E, Dranoff JA. Effects of short-term supervised exercise training on liver fat in adolescents with obesity: a randomized controlled trial. Obesity (Silver Spring) 2023; 31:2740-2749. [PMID: 37731271 DOI: 10.1002/oby.23887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 07/21/2023] [Accepted: 07/24/2023] [Indexed: 09/22/2023]
Abstract
OBJECTIVE The objective of this study was to quantify the effects of a 4-week, supervised, high-intensity interval training (HIIT) on intrahepatic triglyceride content (IHTG, percentage), cardiorespiratory fitness (CRF), and cardiometabolic markers in adolescents with obesity. METHODS A total of 40 adolescents (age 13-18 y, BMI 36.7 ± 5.8 kg/m2 ) at risk for metabolic dysfunction-associated steatotic liver disease (MASLD) based on obesity and elevated Fibroscan measured controlled attenuation parameter (CAP) scores were randomized to HIIT three times a week for 4 weeks (n = 34) or observation (control; n = 6). Liver magnetic resonance imaging proton-density fat-fraction (MRI-PDFF), CAP, oral glucose tolerance test, serum alanine aminotransferase, dual-energy x-ray absorptiometry, and CRF tests were performed before and after intervention. Within- and between-group differences were compared. RESULTS A total of 13 (38%) and 4 (66%) children had MASLD by MRI-PDFF (IHTG ≥ 5%) in the HIIT and control groups, respectively. The implemented HIIT protocol had no impact on CRF or IHTG (baseline 5.26%, Δ = -0.31 percentage points, 95% CI: -0.77 to 0.15; p = 0.179), but it decreased the 2-h glucose concentration (baseline 116 mg/dL, Δ = -11 mg/dL; 95% CI: -17.6 to -5.5; p < 0.001). When limiting the analysis to participants with MASLD (n = 17), HIIT decreased IHTG (baseline 8.81%, Δ = -1.05 percentage points, 95% CI: -2.08 to -0.01; p = 0.048). Between-group comparisons were not different. CONCLUSIONS The implemented exercise protocol did not reduce IHTG, but it led to modest improvement in markers of cardiometabolic health.
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Affiliation(s)
- Emir Tas
- Department of Pediatrics, University of Pittsburgh College of Medicine, Pittsburgh, Pennsylvania, USA
- Division of Endocrinology and Diabetes, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Center for Childhood Obesity Prevention, Arkansas Children's Research Institute, Little Rock, Arkansas, USA
| | - Reid D Landes
- Center for Childhood Obesity Prevention, Arkansas Children's Research Institute, Little Rock, Arkansas, USA
- Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Eva C Diaz
- Center for Childhood Obesity Prevention, Arkansas Children's Research Institute, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
| | - Shasha Bai
- Center for Childhood Obesity Prevention, Arkansas Children's Research Institute, Little Rock, Arkansas, USA
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Xiawei Ou
- Center for Childhood Obesity Prevention, Arkansas Children's Research Institute, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Robert Buchmann
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Xiaoxu Na
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Radhika Muzumdar
- Department of Pediatrics, University of Pittsburgh College of Medicine, Pittsburgh, Pennsylvania, USA
- Division of Endocrinology and Diabetes, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Elisabet Børsheim
- Center for Childhood Obesity Prevention, Arkansas Children's Research Institute, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
| | - Jonathan A Dranoff
- Center for Childhood Obesity Prevention, Arkansas Children's Research Institute, Little Rock, Arkansas, USA
- VA Connecticut Health Center, West Haven, Connecticut, USA
- Section of Digestive Diseases, Yale School of Medicine, New Haven, Connecticut, USA
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Li Z, Liu Y, Han X, Zhou Z. Effects of running-based versus body-weight-based high-intensity interval training on physical fitness in healthy adolescents. Front Physiol 2023; 14:1060216. [PMID: 36969578 PMCID: PMC10036788 DOI: 10.3389/fphys.2023.1060216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 03/02/2023] [Indexed: 03/12/2023] Open
Abstract
Objectives: High-intensity interval training improves aerobic endurance, but the effectiveness of different training protocols is unclear. This study compared the effects of running-based high-intensity interval training (R-HIIT) and body weight-based high-intensity interval training (B-HIIT) on physical fitness in adolescents.Methods: This was a pre-and post-test quasi-experimental design in which a seventh-grade natural class was randomly selected from three homogeneous middle schools, and then the three natural classes were randomly divided into three groups: the R-HIIT group (n = 54), the B-HIIT group (n = 55), and the control group (Con, n = 57). Both intervention groups exercised twice a week for 12 weeks with a 2:1 (1 min:30 s) load-interval ratio and exercise intensity controlled at 70%–85% maximum heart rate. R-HIIT was in the form of running, and B-HIIT was in the form of resistance exercises using the participants’ body weight. The control group was instructed to continue their normal behavior. cardiorespiratory fitness, muscle strength and endurance, and speed were measured before and after the intervention. Statistical differences between and within groups were determined using repeated measures analysis of variance.Results: Compared to the baseline, both the R-HIIT and B-HIIT intervention groups significantly improved CRF, muscle strength, and speed (p < 0.05). The B-HIIT group was significantly better than R-HIIT in improving CRF (4.48 mL/kg/min vs 3.34 mL/kg/min, p < 0.05), and only the B-HIIT improved sit-up muscle endurance (ηp2 = 0.30, p < 0.05).Conclusion: The B-HIIT protocol was significantly more effective than the R-HIIT protocol in developing CRF and improving muscle health indicators.
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Affiliation(s)
- Zhen Li
- Provincial University Key Laboratory of Sport and Health Science, School of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China
| | - Yang Liu
- Hebei Institute of International Business and Economics, Qinhuangdao, China
| | - Xiaowei Han
- Faculty of Education, Beijing Normal University, Beijing, China
| | - Zhixiong Zhou
- School of Physical Education and Coaching Science, Capital University of Physical Education and Sports, Beijing, China
- *Correspondence: Zhixiong Zhou,
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Nie C, Li Z, Yang T, Zhong J, Liu Q, Mi F, Yu J, Pan Y, Kan H, Hong F. Associations of long-term exposure to particulate matter with gallstone risks in Chinese adults: A large cross-sectional study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 252:114644. [PMID: 36791505 DOI: 10.1016/j.ecoenv.2023.114644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 02/10/2023] [Accepted: 02/11/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Epidemiological evidence regarding the relation of exposure to ambient particulate matter (PM) with gallstone disease (GSD) risk remains lacking. We tested the hypothesis that long-term exposure to PM is related to the development of GSD and that dyslipidemia can mediate the effect of PM-associated GSD formation. METHODS We extracted related information on the basis of the baseline survey of the China Multi-Ethnic Cohort Study. The exposure levels of PM (PM1, PM2.5, and PM10) were assessed by validated spatiotemporal models. The relation of exposure to ambient PM with GSD risks was analyzed by non-conditional logistic regression models. Additionally, mediation analysis was conducted to assess whether dyslipidemia was related to the relation of PM exposure with GSD risks. RESULTS A total of 72,893 participants were included. Increased ambient PM exposure was positively associated with a higher GSD risk, with ORs (and 95% CI) of 1.17 (1.06, 1.28), 1.10 (1.05, 1.15), and 1.07 (1.04, 1.10) for every 10 μg/m3 increment in PM1, PM2.5, and PM10, separately. The association was more remarkable in males, drinkers, and central obesity participants. Dyslipidemia significantly mediated the association between PM and GSD, with mediating proportions of 5.37%, 9.13%, and 7.66% in PM1, PM2.5, and PM10, respectively. CONCLUSION Exposure to PM may relate to the increased risk of GSD in Chinese adults, especially among males, drinkers, and central obesity participants. Dyslipidemia may partially mediate the effect of PM-associated GSD development. Our results might provide epidemiological evidence for the progression of GSD related to PM and give new insights into GSD prevention and screening priorities.
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Affiliation(s)
- Chan Nie
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guizhou, Guiyang 550025, China
| | - Zhifeng Li
- Chongqing Center for Disease Control and Prevention, Chongqing 400042, China.
| | - Tingting Yang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guizhou, Guiyang 550025, China
| | - Jianqin Zhong
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guizhou, Guiyang 550025, China
| | - Qiaolan Liu
- Sichuan University West China School of Public Health, Sichuan, Chengdu 610000, China
| | - Fei Mi
- School of Public Health, Kunming Medical University, Yunnan, Kunming 650000, China
| | - Jianhong Yu
- Pidu District Center for Disease Control and Prevention, Sichuan, Chengdu 611700, China
| | - Yongyue Pan
- School of Medicine, Tibet University, Lhasa, Tibet 850000, China
| | - Haidong Kan
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China; Children's Hospital of Fudan University, National Center for Children's Health, Shanghai 200032, China.
| | - Feng Hong
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guizhou, Guiyang 550025, China.
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