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Porchia LM, Ochoa-Precoma R, Reyes-Albarracín Y, Gonzalez-Mejia ME, López-Bayghen E. Age-related differences in fluctuations in insulin resistance evaluated with HOMA-IR and triglyceride and glucose-based indices during the menstrual cycle, as determined using the NHANES cross-sectional dataset. Maturitas 2024; 188:108085. [PMID: 39102760 DOI: 10.1016/j.maturitas.2024.108085] [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: 02/07/2024] [Revised: 07/10/2024] [Accepted: 07/29/2024] [Indexed: 08/07/2024]
Abstract
OBJECTIVES To determine how age affects insulin resistance during the menstrual cycle and insulin resistance-associated indices: the Triglyceride-glucose and Triglyceride-glucose-BMI indexes. METHODS This prospective observational study used fasting plasma glucose, fasting insulin, triglycerides, body mass index (BMI), and days since the start of the menstrual period collected from the NHANES dataset (1999-2006). Insulin resistance was determined using the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR). The participants were categorized as young (16-34 years) or older (>35 years). Rhythmicity during the menstrual cycle was analyzed using the Cosinor and Cosinor2 packages for R. MAIN OUTCOME MEASURES Cosine fit curves for insulin resistance during the menstrual cycle and age-associated effects on rhythmicity. RESULTS Using 1256 participants, rhythmicity was observed for fasting insulin and HOMA-IR (p < 0.05) but not for fasting plasma glucose, the Triglyceride-glucose index, or the Triglyceride-glucose-BMI index. Significant amplitudes for fasting insulin and HOMA-IR were observed when age was considered. Acrophases for fasting insulin and HOMA-IR were significant only for the younger group, and the differences between these groups were significant, suggesting that the changes in scores for insulin resistance for the younger and older groups occur at different times of their menstrual cycle. CONCLUSIONS Insulin resistance does fluctuate during the menstrual cycle, and it is at a maximum at different times for younger and older women. Since these results are unadjusted, this study is preliminary and further investigation is required.
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Affiliation(s)
- Leonardo M Porchia
- Instituto de Infertilidad y Genética México SC, Ingenes, Carretera México-Toluca 5420 Officina 602, Colonia El Yaqui, 05320 México City, Mexico
| | - Renata Ochoa-Precoma
- Departamento de Genética, Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, Calle 13 Sur 2702, Colonia Los Volcanes, 72420 Puebla, Mexico
| | - Yúvika Reyes-Albarracín
- Departamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav-IPN), Avenida Instituto Politécnico Nacional 2508 Colonia San Pedro Zacatenco, 07360 México City, Mexico.
| | - M Elba Gonzalez-Mejia
- Departamento de Genética, Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, Calle 13 Sur 2702, Colonia Los Volcanes, 72420 Puebla, Mexico.
| | - Esther López-Bayghen
- Departamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav-IPN), Avenida Instituto Politécnico Nacional 2508 Colonia San Pedro Zacatenco, 07360 México City, Mexico.
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Wang Y, Hu Z, Ding Y, Sun Y, Meng R, He Y. Delay Discounting and BMI in Hypertensives: Serial Mediations of Self-Efficacy, Physical Activity and Sedentary Behavior. J Multidiscip Healthc 2024; 17:4319-4334. [PMID: 39246561 PMCID: PMC11380850 DOI: 10.2147/jmdh.s481425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Accepted: 08/29/2024] [Indexed: 09/10/2024] Open
Abstract
Objective Our study aimed to examine the association between delay discounting (DD) and body mass index (BMI) in individuals with hypertension. Additionally, we sought to explore and compare the potential mediating effects of self-efficacy, physical activity and sedentary behavior in this association. Methods A cross-sectional survey was conducted in two cities in the Jiangsu province of China, specifically Nanjing and Yangzhou, from March to June 2023. A total of 972 hypertensive patients completed the questionnaire (M age = 64.7 years, SD age = 8.2 years, 54.2% female). Participants engaged in a money choice experiment on computers, provided their height and weight, and completed the International Physical Activity Questionnaire-Short Form (IPAQ-SF) and General Self-Efficacy Scale (GSES). The experimental program was generated using the programming software E-Prime version 2.0. Multiple hierarchical regression analysis was conducted to identify potential covariates. Two serial mediation models were conducted using PROCESS macro 4.1 in SPSS 27.0. Physical activity and sedentary behavior were designated as M2 to investigate and contrast their respective mediating effects in the association between delay discounting and body mass index. Results Self-efficacy, physical activity, and sedentary behavior served as mediators in the relationship between delay discounting and BMI. Self-efficacy accounted for 14.9% and 14.3% of the total effect in Models 1 and 2, respectively, while physical activity and sedentary behavior each accounted for 14.9% and 9.5% of the total effect, respectively. The serial mediation effects of self-efficacy and physical activity, as well as self-efficacy and sedentary behavior, were significant (B = 0.01, 95% CI [0.01, 0.02]; B = 0.01, 95% CI [0.002, 0.01]), collectively contributing 2.1% and 2.4% of the total effect. Sedentary behavior played a smaller mediating role compared to physical activity in this association. Conclusion The results indicated that self-efficacy, physical activity and sedentary behavior could act as mediators in the association between delay discounting and BMI, thus potentially mitigating the risk of obesity in hypertensive individuals.
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Affiliation(s)
- Yiping Wang
- School of Nursing, Nanjing Medical University, Nanjing, People's Republic of China
| | - Zhiqing Hu
- Institute of Medical Humanities, Nanjing Medical University, Nanjing, People's Republic of China
- School of Marxism, Nanjing Medical University, Nanjing, People's Republic of China
| | - Yueming Ding
- Institute of Medical Humanities, Nanjing Medical University, Nanjing, People's Republic of China
- School of Marxism, Nanjing Medical University, Nanjing, People's Republic of China
| | - Yanjun Sun
- Institute of Medical Humanities, Nanjing Medical University, Nanjing, People's Republic of China
- School of Marxism, Nanjing Medical University, Nanjing, People's Republic of China
| | - Rui Meng
- School of Nursing, Nanjing Medical University, Nanjing, People's Republic of China
| | - Yuan He
- School of Nursing, Nanjing Medical University, Nanjing, People's Republic of China
- Institute of Medical Humanities, Nanjing Medical University, Nanjing, People's Republic of China
- School of Marxism, Nanjing Medical University, Nanjing, People's Republic of China
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Peng H, Xiang J, Pan L, Zhao M, Chen B, Huang S, Yao Z, Liu J, Lv W. METS-IR/HOMA-IR and MAFLD in U.S. adults: dose-response correlation and the effect mediated by physical activity. BMC Endocr Disord 2024; 24:132. [PMID: 39085855 PMCID: PMC11293050 DOI: 10.1186/s12902-024-01646-w] [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: 04/17/2024] [Accepted: 07/03/2024] [Indexed: 08/02/2024] Open
Abstract
OBJECTIVES Metabolic dysfunction-associated fatty liver disease (MAFLD), a globally prevalent disease, is closely linked to insulin resistance (IR). Physical activity (PA) is closely linked to both MAFLD and IR. We aim to explore the dose-response relationship between metabolic score for IR (METS-IR)/homeostasis model assessment of IR (HOMA-IR) and MAFLD, and investigate the relationship between PA, IR and MAFLD. METHODS Participants from the NHANES study were included in this cross-section study. Logistic regression and the receiver operating characteristic were used to assess the predictive performance of METS-IR/HOMA-IR for MAFLD. Restrictive cubic splines were performed to visualize their dose-response relationship. Decision tree analysis was used to identify high-risk populations of MAFLD. PA's mediating effect in the association between METS-IR/HOMA-IR and MAFLD was also examined. RESULTS Of all 1,313 participants, 693 had MAFLD (52.78%). There were a positive association between METS-IR (OR = 1.162, 95% CI = 1.126-1.199) and HOMA-IR (OR = 1.630, 95% CI = 1.431-1.856) and MAFLD risk. The AUCs of the METS-IR and HOMA-IR were 0.831 (0.809, 0.853) and 0.767 (0.741, 0.791), respectively, with significantly different predictive performance (P < 0.001). Adding METS-IR/HOMA-IR to the basic model greatly improved the statistical significance for MAFLD. Five high-risk subgroups were identified for MAFLD. PA mediated about 0.81% and 0.78% (indirect effect/total effect) in the association between METS-IR/HOMA-IR and MAFLD. CONCLUSIONS MAFLD risk might be predicted by METS-IR/HOMA-IR, among which METS-IR performed better. And PA mediated the association between them. More attention should be paid to the therapeutic effect of lifestyle changes on MAFLD. HIGHLIGHTS 1. Positive associations were found between METS-IR and HOMA-IR and MAFLD risk. 2. METS-IR has better predictive performance for MAFLD risk than HOMA-IR. 3.Two high-risk subgroups were identified for MAFLD by METS-IR: individuals with METS-IR ≥ 40; Hispanic black individuals with 34 ≤ METS-IR < 40 and aged ≥ 46. 4. In the significant association between METS-IR/HOMA-IR and MAFLD, about 0.81% and 0.78% (indirect effect/total effect), respectively, were mediated by physical activity.
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Affiliation(s)
- Hongye Peng
- Department of Infection, Guang'anmen Hospital, , China Academy of Chinese Medical Sciences, Beijing, China.
- Graduate School, Beijing University of Chinese Medicine, 100029, Beijing, China.
| | - Jingjing Xiang
- Department of Traditional Chinese Medicine, Beijing Aerospace General Hospital, Beijing, China
| | - Liang Pan
- Phase 1 Clinical Trial Center, Deyang People's Hospital, Deyang, Sichuan, China
| | - Mo Zhao
- Department of Infection, Guang'anmen Hospital, , China Academy of Chinese Medical Sciences, Beijing, China
| | - Bin Chen
- Pharmacy Department, People's Hospital of Mianzhu, Sichuan, Mianzhu, China
| | - Shuxia Huang
- Department of Infection, Guang'anmen Hospital, , China Academy of Chinese Medical Sciences, Beijing, China
| | - Ziang Yao
- Department of Infection, Guang'anmen Hospital, , China Academy of Chinese Medical Sciences, Beijing, China
| | - Jing Liu
- Department of Infection, Guang'anmen Hospital, , China Academy of Chinese Medical Sciences, Beijing, China
| | - Wenliang Lv
- Department of Infection, Guang'anmen Hospital, , China Academy of Chinese Medical Sciences, Beijing, China.
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Chen G, Huang L, Lai M, Ran J. Association between erectile dysfunction and the prevalence and prognosis of hyperglycemia in adults in the USA based on NHANES 2001-2004. Sci Rep 2024; 14:17663. [PMID: 39085319 PMCID: PMC11291728 DOI: 10.1038/s41598-024-68208-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 07/22/2024] [Indexed: 08/02/2024] Open
Abstract
Prior research has demonstrated that erectile dysfunction (ED) is a significant risk factor for cardiovascular disease (CVD) and premature mortality. Few studies have examined the link between ED and hyperglycemia, and the predictive power of ED for mortality in individuals with hyperglycemia. A cohort of 1584 adults diagnosed with hyperglycemia, consisting of 583 individuals with diabetes and 1001 individuals with prediabetes, was selected from the National Health and Nutrition Examination Survey (NHANES) conducted between 2001 and 2004. The study found a positive correlation between severe ED and hyperglycemia (OR, 2.03; 95% CI 1.53-2.68), while no significant relationship was observed between severe ED and CVD events (OR, 1.60; 95% CI 0.91-2.80). Additionally, no statistical association was found between diabetes or prediabetes status and ED. After multivariable adjustments, severe ED was found to be significantly associated with an increased risk of all-cause mortality (HR, 1.67; 95% CI 1.16-2.39), while no significant association was observed between severe ED and CVD mortality (HR, 1.92; 95% CI 0.92-3.98). Our study indicates a significant correlation between ED and hyperglycemia status. Hyperglycemia Individuals with ED generally exhibited an unfavorable prognosis for mortality due to all causes and CVD, particularly among those with low levels of physical activity.
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Affiliation(s)
- Guangshu Chen
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, 510220, China
| | - Lehua Huang
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, 510220, China
| | - Meizheng Lai
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, 510220, China
| | - Jianmin Ran
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, 510220, China.
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Zhiyi L, Shuhan Z, Libing Z, Jiaqi L, Xin D, Lingxi Q, Yuan-Mei S, Hong Z, Jiaqi N, Hui L, Sanyou F. Association of the Healthy Dietary Index 2020 and its components with chronic respiratory disease among U.S. adults. Front Nutr 2024; 11:1402635. [PMID: 39021605 PMCID: PMC11252059 DOI: 10.3389/fnut.2024.1402635] [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: 03/18/2024] [Accepted: 06/18/2024] [Indexed: 07/20/2024] Open
Abstract
Background Chronic respiratory disease is an important public health problem in the United States and globally. Diet, an important part of a healthy lifestyle, is also relevant to chronic respiratory health. We aimed to explore the relationship between overall dietary quality and the risk of chronic respiratory disease (CRD), include chronic bronchitis (CB), emphysema and asthma. Method A total of 4,499 United States adults were extracted from the National Health and Nutrition Examination Survey (NHANES) in 2017-2018. Diet quality was assessed using 2 day, 24 h dietary recall data and quantified as the Healthy Diet Index (HEI)-2020 score. Binary logistic regression models, restricted cubic splines (RCS) and generalized additive modeling (GAM), the weighted quartile sum (WQS) and qgcom models were used to assess the relationship between HEI-2020 scores and risk of CB, emphysema and asthma. Results High HEI-2020 scores are associated with low risk of chronic respiratory disease (CB: 0.98, 0.97-0.99; emphysema: 0.98, 0.97-0.99; asthma: 0.98, 0.97-0.99) and consistent results across different dietary variable categorization (Tertile: CB: 0.58, 0.42-0.81; asthma: 0.51, 0.35-0.74; Quartile: CB: 0.57, 0.34-0.97; asthma: 0.56, 0.36-0.86) and different weighting models. Negative dose-response relationship between dietary quality and risk of chronic respiratory disease also shown in RCS and GAM models. The WQS and qgcom models also showed a healthy mixing effect of dietary components on respiratory disease, with high-quality proteins, vegetables, and fruits making the heaviest contributions. Conclusion Higher HEI-2020 scores were associated with lower risk of CB, emphysema, and asthma. Following Dietary Guidelines for Americans 2020-2025 could support enhanced respiratory health.
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Affiliation(s)
- Liu Zhiyi
- School of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, China
| | - Zhou Shuhan
- School of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, China
| | - Zhang Libing
- School of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, China
| | - Li Jiaqi
- Hospital of Stomatology Wuhan University, Wuhan, China
| | - Ding Xin
- School of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China
| | - Qin Lingxi
- School of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, China
| | | | - Zhang Hong
- Taixing People’s Hospital, Taixing, China
| | - Nie Jiaqi
- Xiaogan Center for Disease Control and Prevention, Xiaogan, China
| | - Li Hui
- Taixing People’s Hospital, Taixing, China
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Bradshaw L, Buniam J, Betts JA, Gonzalez JT. Are there sex differences in the variability of fasting metabolism? J Appl Physiol (1985) 2024; 136:1450-1459. [PMID: 38634507 PMCID: PMC11365542 DOI: 10.1152/japplphysiol.00053.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 04/11/2024] [Accepted: 04/11/2024] [Indexed: 04/19/2024] Open
Abstract
There is evidence across species and across many traits that males display greater between-individual variance. In contrast, (premenopausal) females display large within-individual variance in sex hormone concentrations, which can increase within-individual variance in many other parameters. The latter may contribute to the lower representation of females in metabolic research. This study is a pooled secondary analysis of data from seven crossover studies to investigate the between-individual and the within-individual variance in fasting plasma metabolites, resting metabolic rate (RMR), and body mass. Females demonstrated higher within-individual variability of plasma 17β-estradiol [coefficient of variation (CV): 15 ± 15% for males vs. 38 ± 34% for females, P < 0.001] and progesterone concentrations (CV: 13 ± 11% for males vs. 52 ± 51% for females, P < 0.001) but there were no meaningful differences in the variability of plasma glucose (CV: 4 ± 3% for males vs. 5 ± 5% for females), insulin, lactate, triglycerides (CV: 15 ± 9% for males vs. 15 ± 10% for females), and esterified fatty acid concentrations or in RMR and body mass (CV: 0.43 ± 0.34% for males vs. for 0.42 ± 0.33% females; P > 0.05 for all outcomes). Males displayed higher between-individual variance in RMR compared with females (SD: 224 kcal·day-1 for males vs. 151 kcal·day-1 for females). In conclusion, these data do not provide evidence that females show greater within-individual variability in many fasting metabolic variables, RMR, or body mass compared with males. We conclude that including females in metabolic research is unlikely to introduce greater within-individual variance when using the recruitment and control procedures described in these studies.NEW & NOTEWORTHY To investigate the within-individual variability in metabolic parameters in males and females, we performed a pooled secondary analysis of fasting blood samples, resting metabolic rate, and body mass from seven crossover studies. We found a greater day-to-day variation in 17β-estradiol and progesterone in females compared with males but no meaningful difference in within-individual variability of fasting plasma glucose, insulin, lactate, triglycerides, NEFA, resting metabolic rate, or body mass between females and males.
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Affiliation(s)
- Louise Bradshaw
- Centre for Nutrition, Exercise and Metabolism, University of Bath, Bath, United Kingdom
- Department for Health, University of Bath, Bath, United Kingdom
| | - Jariya Buniam
- Centre for Nutrition, Exercise and Metabolism, University of Bath, Bath, United Kingdom
- Department for Health, University of Bath, Bath, United Kingdom
- Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand
| | - James A Betts
- Centre for Nutrition, Exercise and Metabolism, University of Bath, Bath, United Kingdom
- Department for Health, University of Bath, Bath, United Kingdom
| | - Javier T Gonzalez
- Centre for Nutrition, Exercise and Metabolism, University of Bath, Bath, United Kingdom
- Department for Health, University of Bath, Bath, United Kingdom
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Silva LFR, Garcia BCC, Esteves EA, Mang ZA, Amorim FT, Dias-Peixoto MF, Gripp F, Tricoli V, de Castro Magalhaes F. The ASSIST trial: Acute effects of manipulating strength exercise volume on insulin sensitivity in obese adults: A protocol for a randomized controlled, crossover, clinical trial. PLoS One 2024; 19:e0302480. [PMID: 38805474 PMCID: PMC11132464 DOI: 10.1371/journal.pone.0302480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 04/03/2024] [Indexed: 05/30/2024] Open
Abstract
Type 2 diabetes mellitus is a disease in which insulin action is impaired, and an acute bout of strength exercise can improve insulin sensitivity. Current guidelines for strength exercise prescription suggest that 8 to 30 sets could be performed, although it is not known how variations in exercise volume impact insulin sensitivity. Additionally, this means an almost 4-fold difference in time commitment, which might directly impact an individual's motivation and perceived capacity to exercise. This study will assess the acute effects of high- and low-volume strength exercise sessions on insulin sensitivity. After being thoroughly familiarized, 14 obese individuals of both sexes (>40 year old) will undergo 3 random experimental sessions, with a minimum 4-day washout period between them: a high-volume session (7 exercises, 3 sets per exercise, 21 total sets); a low-volume session (7 exercises, 1 set per exercise, 7 total sets); and a control session, where no exercise will be performed. Psychological assessments (feeling, enjoyment, and self-efficacy) will be performed after the sessions. All sessions will be held at night, and the next morning, an oral glucose tolerance test will be performed in a local laboratory, from which indexes of insulin sensitivity will be derived. We believe this study will aid in strength exercise prescription for individuals who claim not to have time to exercise or who perceive high-volume strength exercise intimidating to adhere to. This trial was prospectively registered (ReBEC #RBR-3vj5dc5 https://ensaiosclinicos.gov.br/rg/RBR-3vj5dc5).
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Affiliation(s)
- Luis Filipe Rocha Silva
- Graduate Program in Health Sciences, Federal University of the Jequitinhonha and Mucuri Valleys, Diamantina, Minas Gerais, Brazil
| | - Bruna Caroline Chaves Garcia
- Laboratory of Exercise Biology and Immunometabolism, Centro Integrado de Pós-Graduação e Pesquisa em Saúde, Programa Multicêntrico de Pós-Graduação em Ciências Fisiológicas, Federal University of the Jequitinhonha and Mucuri Valleys, Diamantina, Minas Gerais, Brazil
| | - Elizabethe Adriana Esteves
- Graduate Program in Health Sciences, Federal University of the Jequitinhonha and Mucuri Valleys, Diamantina, Minas Gerais, Brazil
- Department of Nutrition, Federal University of the Jequitinhonha and Mucuri Valleys, Diamantina, Minas Gerais, Brazil
| | - Zachary Aaron Mang
- Post-doctoral Research Associate, Occupational Safety & Health, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
| | - Fabiano Trigueiro Amorim
- Department of Health, Exercise, and Sports Sciences, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Marco Fabrício Dias-Peixoto
- Graduate Program in Health Sciences, Federal University of the Jequitinhonha and Mucuri Valleys, Diamantina, Minas Gerais, Brazil
- Department of Physical Education, Federal University of the Jequitinhonha and Mucuri Valleys, Diamantina, Minas Gerais, Brazil
| | - Fernando Gripp
- Department of Physical Education, Federal University of the Jequitinhonha and Mucuri Valleys, Diamantina, Minas Gerais, Brazil
| | - Valmor Tricoli
- School of Physical Education and Sport, University of Sao Paulo, Sao Paulo, Sao Paulo, Brazil
| | - Flavio de Castro Magalhaes
- Graduate Program in Health Sciences, Federal University of the Jequitinhonha and Mucuri Valleys, Diamantina, Minas Gerais, Brazil
- Department of Health, Exercise, and Sports Sciences, University of New Mexico, Albuquerque, New Mexico, United States of America
- Department of Physical Education, Federal University of the Jequitinhonha and Mucuri Valleys, Diamantina, Minas Gerais, Brazil
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Chen G, Che L, Lai M, Wei T, Chen C, Zhu P, Ran J. Association of neutrophil-lymphocyte ratio with all-cause and cardiovascular mortality in US adults with diabetes and prediabetes: a prospective cohort study. BMC Endocr Disord 2024; 24:64. [PMID: 38730476 PMCID: PMC11084136 DOI: 10.1186/s12902-024-01592-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 04/24/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND The neutrophil-lymphocyte ratio (NLR) is a novel hematological parameter to assess systemic inflammation. Prior investigations have indicated that an increased NLR may serve as a potential marker for pathological states such as cancer and atherosclerosis. However, there exists a dearth of research investigating the correlation between NLR levels and mortality in individuals with diabetes and prediabetes. Consequently, this study aims to examine the connection between NLR and all-cause as well as cardiovascular mortality in the population of the United States (US) with hyperglycemia status. METHODS Data were collected from a total of 20,270 eligible individuals enrolled for analysis, spanning ten cycles of the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. The subjects were categorized into three groups based on tertiles of NLR levels. The association of NLR with both all-cause and cardiovascular mortality was evaluated using Kaplan-Meier curves and Cox proportional hazards regression models. Restricted cubic splines were used to visualize the nonlinear relationship between NLR levels and all-cause and cardiovascular mortality in subjects with diabetes after accounting for all relevant factors. RESULTS Over a median follow-up period of 8.6 years, a total of 1909 subjects with diabetes died, with 671 deaths attributed to cardiovascular disease (CVD). And over a period of 8.46 years, 1974 subjects with prediabetes died, with 616 cases due to CVD. The multivariable-adjusted hazard ratios (HRs) comparing high to low tertile of NLR in diabetes subjects were found to be 1.37 (95% CI, 1.19-1.58) for all-cause mortality and 1.63 (95% CI, 1.29-2.05) for CVD mortality. And the correlation between high to low NLR tertile and heightened susceptibility to mortality from any cause (HR, 1.21; 95% CI, 1.03-1.43) and CVD mortality (HR, 1.49; 95% CI, 1.08-2.04) remained statistically significant (both p-values for trend < 0.05) in prediabetes subjects. The 10-year cumulative survival probability was determined to be 70.34%, 84.65% for all-cause events, and 86.21%, 94.54% for cardiovascular events in top NLR tertile of diabetes and prediabetes individuals, respectively. Furthermore, each incremental unit in the absolute value of NLR was associated with a 16%, 12% increase in all-cause mortality and a 25%, 24% increase in cardiovascular mortality among diabetes and prediabetes individuals, respectively. CONCLUSIONS The findings of this prospective cohort study conducted in the US indicate a positive association of elevated NLR levels with heightened risks of overall and cardiovascular mortality among adults with diabetes and prediabetes. However, potential confounding factors for NLR and the challenge of monitoring NLR's fluctuations over time should be further focused.
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Affiliation(s)
- Guangshu Chen
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, 510220, Guangdong, China
| | - Li Che
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Meizheng Lai
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, 510220, Guangdong, China
| | - Ting Wei
- Department of Hematology, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, 510220, China
| | - Chuping Chen
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, 510220, Guangdong, China
| | - Ping Zhu
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, 510220, Guangdong, China.
| | - Jianmin Ran
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, 510220, Guangdong, China.
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Schieren A, Koch S, Pecht T, Simon MC. Impact of Physiological Fluctuations of Sex Hormones During the Menstrual Cycle on Glucose Metabolism and the Gut Microbiota. Exp Clin Endocrinol Diabetes 2024; 132:267-278. [PMID: 38382644 PMCID: PMC11093651 DOI: 10.1055/a-2273-5602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 01/18/2024] [Indexed: 02/23/2024]
Abstract
Diabetes mellitus is one of the most prevalent chronic diseases. Previous studies have shown differences in glucose metabolism between males and females. Moreover, difficulties in medication adherence have been reported in females with type 2 diabetes. These observations are believed to be caused by fluctuations in sex hormone concentrations during the menstrual cycle. Furthermore, gut microbiota is linked to female host metabolism and sex hormone production. Understanding the interactions between fluctuating hormone concentrations during the menstrual cycle, gut microbiota, and glucose metabolism in humans is significant because of the increasing prevalence of diabetes and the consequent need to expand preventive efforts. A literature search was performed to determine and summarize the existing evidence, deduce future research needs to maintain female health, and investigate the relationship between the physiological menstrual cycle and glucose metabolism. Studies from 1967 to 2020 have already examined the relationship between variations during the menstrual cycle and glucose metabolism in healthy female subjects using an oral-glucose tolerance test or intravenous glucose tolerance test. However, the overall number of studies is rather small and the results are contradictory, as some studies detected differences in glucose concentrations depending on the different cycle phases, whereas others did not. Some studies reported lower glucose levels in the follicular phase than in the luteal phase, whereas another study detected the opposite. Data on gut microbiota in relation to the menstrual cycle are limited. Conflicting results exist when examining the effect of hormonal contraceptives on the gut microbiota and changes in the course of the menstrual cycle. The results indicate that the menstrual cycle, especially fluctuating sex hormones, might impact the gut microbiota composition.The menstrual cycle may affect the gut microbiota composition and glucose metabolism. These results indicate that glucose tolerance may be the greatest in the follicular phase; however, further well-conducted studies are needed to support this assumption.
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Affiliation(s)
- Alina Schieren
- University of Bonn, Institute of Nutrition and Food Sciences, Nutrition
and Microbiota, Bonn, Germany
| | - Sandra Koch
- University of Bonn, Institute of Nutrition and Food Sciences, Nutrition
and Microbiota, Bonn, Germany
| | - Tal Pecht
- University of Bonn, Life & Medical Sciences (LIMES) Institute,
Department for Genomics and Immunoregulation, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Systems Medicine,
Bonn, Germany
| | - Marie-Christine Simon
- University of Bonn, Institute of Nutrition and Food Sciences, Nutrition
and Microbiota, Bonn, Germany
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10
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Mo H, Wang C, Li Y. Recent tobacco smoking, restaurant and in-car secondhand smoke exposure are associated with depressive symptoms among young adults: a population-based cross-sectional analysis. Sci Rep 2024; 14:5290. [PMID: 38438445 PMCID: PMC10912083 DOI: 10.1038/s41598-024-54575-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 02/14/2024] [Indexed: 03/06/2024] Open
Abstract
The purpose of this study was to evaluate the association between recent tobacco smoking, household secondhand smoke exposure, confined space secondhand smoke exposure and depressive symptoms in young adults after adjustments for each other. Data from NHANES 2013-2018 were extracted. A total of 4129 young adults age 18-35 years (mean age 26.11 ± 5.39 years, 2021 males and 2108 females) were included. Depressive symptoms were screened by PHQ-9. Recent tobacco smoking was assessed through question "smoked tobacco in the last 5 days?". Household secondhand smoke exposure was assessed through question "living with a smoker who smoked inside the house?". Confined space secondhand smoke exposure was assessed by SSEQ. Binary logistic regression models were performed to analyze the associations. Significant association were observed in recent tobacco smoking (OR = 1.593, 95% CI 1.318-1.926) and confined space secondhand smoke exposure (OR = 1.399, 95% CI 1.185-1.651), but not in household secondhand smoke exposure (P = 0.108). Among the different settings of confined space secondhand smoke exposure, restaurant (OR = 1.732, 95% CI 1.120-2.678) and in-car (OR = 1.350, 95% CI 1.102-1.652) exposure were significantly associated with depressive symptom after after fully adjustments.
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Affiliation(s)
- Hongfei Mo
- Synergetic Innovation Center of Kinesis and Health, School of Physical Education (Main Campus), Zhengzhou University, Zhengzhou, Henan, People's Republic of China
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
- The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Changhong Wang
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, People's Republic of China.
| | - Yan Li
- Synergetic Innovation Center of Kinesis and Health, School of Physical Education (Main Campus), Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
- The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
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11
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Yardley JE, Govette A, Laesser CI, Lespagnol É, Logan JE, Sim JAP, Talbo MK, Prévost MS, Perry T, von Zezschwitz JD, Bally L, Brazeau AS, Heyman E, Jung ME, Peters TM, Zaharieva DP, Gillen JB. Sex influences health: reporting on female characteristics should be mandatory in exercise and physical activity-related diabetes research. Diabetologia 2024; 67:209-210. [PMID: 37794258 DOI: 10.1007/s00125-023-06022-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 09/14/2023] [Indexed: 10/06/2023]
Affiliation(s)
- Jane E Yardley
- Augustana Faculty, University of Alberta, Camrose, AB, Canada.
- Alberta Diabetes Institute, University of Alberta, Edmonton, AB, Canada.
- Women and Children's Health Research Institute, University of Alberta, Edmonton, AB, Canada.
- Faculty of Kinesiology, Sport and Recreation, University of Alberta, Edmonton, AB, Canada.
| | - Alexa Govette
- Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON, Canada
| | - Céline I Laesser
- Department of Pediatrics, Division of Pediatric Endocrinology, University Children's Hospital Zurich, Zurich, Switzerland
| | - Élodie Lespagnol
- Pluridisciplinary Sport Health and Society Research Unit (URePSSS), Lille University, Artois University, University of the Littoral Côte d'Opale, Lille, France
| | - Jessica E Logan
- Alberta Diabetes Institute, University of Alberta, Edmonton, AB, Canada
- Faculty of Kinesiology, Sport and Recreation, University of Alberta, Edmonton, AB, Canada
| | - Jenna A P Sim
- School of Health and Exercise Sciences, University of British Columbia, Okanagan Campus, Kelowna, BC, Canada
| | - Meryem K Talbo
- School of Human Nutrition, Faculty of Agricultural and Environmental Sciences, McGill University, Montreal, QC, Canada
| | | | | | - Jasmin D von Zezschwitz
- Alberta Diabetes Institute, University of Alberta, Edmonton, AB, Canada
- Institute of Nutritional Medicine, University of Luebeck, Luebeck, Germany
| | - Lia Bally
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Anne-Sophie Brazeau
- School of Human Nutrition, Faculty of Agricultural and Environmental Sciences, McGill University, Montreal, QC, Canada
| | - Elsa Heyman
- Pluridisciplinary Sport Health and Society Research Unit (URePSSS), Lille University, Artois University, University of the Littoral Côte d'Opale, Lille, France
- University Institute of France (IUF), Paris, France
| | - Mary E Jung
- School of Health and Exercise Sciences, University of British Columbia, Okanagan Campus, Kelowna, BC, Canada
| | - Tricia M Peters
- Division of Endocrinology, Jewish General Hospital, McGill University, Montreal, QC, Canada
- Centre for Clinical Epidemiology, Lady Davis Institute, Montreal, QC, Canada
| | - Dessi P Zaharieva
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA
| | - Jenna B Gillen
- Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON, Canada
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12
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MacGregor KA, Ho FK, Celis-Morales CA, Pell JP, Gallagher IJ, Moran CN. Association between menstrual cycle phase and metabolites in healthy, regularly menstruating women in UK Biobank, and effect modification by inflammatory markers and risk factors for metabolic disease. BMC Med 2023; 21:488. [PMID: 38066548 PMCID: PMC10709933 DOI: 10.1186/s12916-023-03195-w] [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: 06/08/2023] [Accepted: 11/23/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Preliminary evidence demonstrates some parameters of metabolic control, including glycaemic control, lipid control and insulin resistance, vary across the menstrual cycle. However, the literature is inconsistent, and the underlying mechanisms remain uncertain. This study aimed to investigate the association between the menstrual cycle phase and metabolites and to explore potential mediators and moderators of these associations. METHODS We undertook a cross-sectional cohort study using UK Biobank. The outcome variables were glucose; triglyceride; triglyceride to glucose index (TyG index); total, HDL and LDL cholesterol; and total to HDL cholesterol ratio. Generalised additive models (GAM) were used to investigate non-linear associations between the menstrual cycle phase and outcome variables. Anthropometric, lifestyle, fitness and inflammatory markers were explored as potential mediators and moderators of the associations between the menstrual cycle phase and outcome variables. RESULTS Data from 8694 regularly menstruating women in UK Biobank were analysed. Non-linear associations were observed between the menstrual cycle phase and total (p < 0.001), HDL (p < 0.001), LDL (p = 0.012) and total to HDL cholesterol (p < 0.001), but not glucose (p = 0.072), triglyceride (p = 0.066) or TyG index (p = 0.100). Neither anthropometric, physical fitness, physical activity, nor inflammatory markers mediated the associations between the menstrual cycle phase and metabolites. Moderator analysis demonstrated a greater magnitude of variation for all metabolites across the menstrual cycle in the highest and lowest two quartiles of fat mass and physical activity, respectively. CONCLUSIONS Cholesterol profiles exhibit a non-linear relationship with the menstrual cycle phase. Physical activity, anthropometric and fitness variables moderate the associations between the menstrual cycle phase and metabolite concentration. These findings indicate the potential importance of physical activity and fat mass as modifiable risk factors of the intra-individual variation in metabolic control across the menstrual cycle in pre-menopausal women.
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Affiliation(s)
- Kirstin A MacGregor
- Physiology, Exercise and Nutrition Research Group, University of Stirling, Stirling, Scotland, UK
| | - Frederick K Ho
- School of Health and Wellbeing, University of Glasgow, Glasgow, Scotland, UK
| | - Carlos A Celis-Morales
- School Cardiovascular and Metabolic Health, University of Glasgow, BHF Glasgow Cardiovascular Research Centre, Glasgow, Scotland, UK
- Human Performance Lab, Education, Physical Activity and Health Research Unit, University Católica del Maule, Talca, Chile
| | - Jill P Pell
- Human Performance Lab, Education, Physical Activity and Health Research Unit, University Católica del Maule, Talca, Chile
| | - Iain J Gallagher
- Physiology, Exercise and Nutrition Research Group, University of Stirling, Stirling, Scotland, UK
- Centre for Biomedicine and Global Health, School of Applied Sciences, Edinburgh Napier University, Sighthill Campus, Sighthill Court, Edinburgh, UK
| | - Colin N Moran
- Physiology, Exercise and Nutrition Research Group, University of Stirling, Stirling, Scotland, UK.
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13
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Zhou Y, Sun X, Yang G, Ding N, Pan X, Zhong A, Guo T, Peng Z, Chai X. Sex-specific differences in the association between steps per day and all-cause mortality among a cohort of adult patients from the United States with congestive heart failure. Heart Lung 2023; 62:175-179. [PMID: 37541137 DOI: 10.1016/j.hrtlng.2023.07.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 07/11/2023] [Accepted: 07/26/2023] [Indexed: 08/06/2023]
Abstract
BACKGROUND There is a lack of understanding of how daily step counts differentially affect the risk of all-cause mortality in adult with congestive heart failure (CHF) by sex in the United States (US). OBJECTIVES To explore the relationship between daily step counts and all-cause mortality in patients with CHF by sex. METHODS This is a cohort analysis from the National Health and Nutrition Examination Survey from 2005 to 2006. Multiple Cox hazard regression was performed to explore the association of step counts and all-cause mortality in patients with CHF by sex. RESULTS In this study, 363 unweighted samples were enrolled from NHANES 2005-2006, representing about 8.4 million of the US population. Further, 46.28% were women, and the average age was 46 years. Patients with CHF in the more than 5581 steps/day group (HR, 0.31 [95% CI, 0.16-0.58]) had a significantly reduced risk of all-cause mortality compared with the patients in the less 5581 steps/day group after accounting for all covariates. In men, after accounting for all the covariates, there was a significant difference in more than 5581 steps/day group (HR, 0.33 [95% CI, 0.14-0.76]) on all-cause mortality in men with CHF compared with men in the less than 5581 steps/day group. CONCLUSIONS Step count is associated with all-cause mortality in patients with CHF. Taking 5581 daily steps was associated with a decreased risk of all-cause mortality in patients with CHF.
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Affiliation(s)
- Yang Zhou
- Department of Intensive Care Unit, Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Xin Sun
- College of nursing, Changsha Medical University, Changsha, Hunan province, 410000, China
| | - Guifang Yang
- Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha 410011, China; Emergency Medicine and Difficult Diseases Institute, Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Ning Ding
- Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha 410011, China; Emergency Medicine and Difficult Diseases Institute, Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Xiaogao Pan
- Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha 410011, China; Emergency Medicine and Difficult Diseases Institute, Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Aifang Zhong
- Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha 410011, China; Emergency Medicine and Difficult Diseases Institute, Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Tuo Guo
- Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha 410011, China; Emergency Medicine and Difficult Diseases Institute, Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Zhenyu Peng
- Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha 410011, China; Emergency Medicine and Difficult Diseases Institute, Second Xiangya Hospital, Central South University, Changsha 410011, China.
| | - Xiangping Chai
- Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha 410011, China; Emergency Medicine and Difficult Diseases Institute, Second Xiangya Hospital, Central South University, Changsha 410011, China.
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14
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Lin G, Siddiqui R, Lin Z, Blodgett JM, Patel SN, Truong KN, Mariakakis A. Blood glucose variance measured by continuous glucose monitors across the menstrual cycle. NPJ Digit Med 2023; 6:140. [PMID: 37567949 PMCID: PMC10421863 DOI: 10.1038/s41746-023-00884-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 07/21/2023] [Indexed: 08/13/2023] Open
Abstract
Past studies on how blood glucose levels vary across the menstrual cycle have largely shown inconsistent results based on limited blood draws. In this study, 49 individuals wore a Dexcom G6 continuous glucose monitor and a Fitbit Sense smartwatch while measuring their menstrual hormones and self-reporting characteristics of their menstrual cycles daily. The average duration of participation was 79.3 ± 21.2 days, leading to a total of 149 cycles and 554 phases in our dataset. We use periodic restricted cubic splines to evaluate the relationship between blood glucose and the menstrual cycle, after which we assess phase-based changes in daily median glucose level and associated physiological parameters using mixed-effects models. Results indicate that daily median glucose levels increase and decrease in a biphasic pattern, with maximum levels occurring during the luteal phase and minimum levels occurring during the late-follicular phase. These trends are robust to adjustments for participant characteristics (e.g., age, BMI, weight) and self-reported menstrual experiences (e.g., food cravings, bloating, fatigue). We identify negative associations between each of daily estrogen level, step count, and low degrees of fatigue with higher median glucose levels. Conversely, we find positive associations between higher food cravings and higher median glucose levels. This study suggests that blood glucose could be an important parameter for understanding menstrual health, prompting further investigation into how the menstrual cycle influences glucose fluctuation.
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Affiliation(s)
- Georgianna Lin
- University of Toronto, Computer Science, Toronto, ON, Canada.
| | | | - Zixiong Lin
- University of Toronto, Computer Science, Toronto, ON, Canada
| | - Joanna M Blodgett
- University College London, Institute of Sport Exercise & Health, London, UK
| | - Shwetak N Patel
- University of Washington, Computer Science & Engineering, Seattle, WA, USA
| | - Khai N Truong
- University of Toronto, Computer Science, Toronto, ON, Canada
| | - Alex Mariakakis
- University of Toronto, Computer Science, Toronto, ON, Canada
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15
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Zeng H, Zhang Y, Huang S, Wu J, Ren W, Zhou L, Huang L, Ye Y. Metformin combined with spironolactone vs. metformin alone in polycystic ovary syndrome: a meta-analysis. Front Endocrinol (Lausanne) 2023; 14:1223768. [PMID: 37635987 PMCID: PMC10449574 DOI: 10.3389/fendo.2023.1223768] [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: 05/16/2023] [Accepted: 07/18/2023] [Indexed: 08/29/2023] Open
Abstract
Aims Due to its high heterogenicity and unclear etiology, there is currently no specific treatment for polycystic ovary syndrome (PCOS). Metformin, as an insulin sensitizer, combined with spironolactone, an antiandrogen medication, may exert complementary effects on PCOS. We therefore performed a meta-analysis of trials in which metformin combined with spironolactone was applied to treat PCOS to evaluate the efficacy and safety of the combination therapy. Methods We retrieved the PubMed, Embase, Scopus, Cochrane Library, CNKI, CBM, Wangfang, and VIP databases for literatures published from their inception to December 16, 2022 on the effects of metformin combined with spironolactone in the treatment of PCOS. Inclusion criteria according to P.I.C.O.S criteria were: PCOS patients, metformin combined with spironolactone interventions, metformin alone control group, and randomized controlled trials with the following outcome data: body mass index (BMI), hirsutism score, luteinizing hormone (LH), follicle-stimulating hormone (FSH), total testosterone (TT), fasting blood glucose (FBG), Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), and side effects including nausea, vomiting, diarrhea and drug withdrawal. Results Our results revealed that metformin combined with spironolactone significantly reduced BMI and TT, but that it exerted no significant effects on hirsutism score, or on FSH or LH concentrations. Combined treatment also resulted in a significant diminution in FBG and insulin resistance using the HOMA-IR when the interventional time was greater than 6 months. In addition, the combination did not have a higher occurrence of adverse reactions than metformin alone. Conclusion Compared with metformin alone, metformin combined with spironolactone therapy may be more effective in reducing BMI and serum androgen levels, but the combination showed no significant effect on the hirsutism score or gonadotropin hormone levels, and was not associated with an elevation in side-effects. Moreover, when the treatment course was greater than 6 months, combination therapy reduced FBG and improved insulin resistance more effectively than metformin alone. However, more research is needed to determine the most effective course of treatment. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022355515.
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Affiliation(s)
- Huamin Zeng
- Department of Endocrinology and Metabolism, The Third Affiliate Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ying Zhang
- Department of Endocrinology and Metabolism, The Third Affiliate Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory for Major Obstetric Diseases of Guangdong Higher Education Institutes, Guangzhou Medical University, Guangzhou, China
| | - Sikai Huang
- Department of Endocrinology and Metabolism, The Third Affiliate Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jinghua Wu
- Department of Endocrinology and Metabolism, The Third Affiliate Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenrui Ren
- Department of Endocrinology and Metabolism, The Third Affiliate Hospital of Guangzhou Medical University, Guangzhou, China
| | - Lingru Zhou
- The First Clinical School, Guangzhou Medical University, Guangzhou, China
| | - Leneng Huang
- Paediatrics School, Guangzhou Medical University, Guangzhou, China
| | - Yuyin Ye
- Paediatrics School, Guangzhou Medical University, Guangzhou, China
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16
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Xu J, Han X, Chen Q, Cai M, Tian J, Yan Z, Guo Q, Xu J, Lu H. Association between sarcopenia and prediabetes among non-elderly US adults. J Endocrinol Invest 2023:10.1007/s40618-023-02038-y. [PMID: 36856982 DOI: 10.1007/s40618-023-02038-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 02/08/2023] [Indexed: 03/02/2023]
Abstract
AIM To explore the specific association between sarcopenia and prediabetes based on large population samples. METHODS A total of 16,116 U.S. adults aged 20-59 with dual energy X-ray absorptiometry (DXA) was identified from the National Health and Nutrition Examination Surveys (NHANES). Sarcopenia was defined according to appendicular skeletal muscle mass (ASM) adjusted for body mass index (BMI). Multivariable binary logistic regression models were used to ascertain odds ratios (ORs) for developing prediabetes. Stratified analyses were also performed. RESULTS Prevalence of prediabetes was higher in the sarcopenia group (n = 1055) compared with the non-sarcopenia group (n = 15,061) (45.50% vs 28.74%, P < 0.001). Sarcopenia was strongly associated with an increased risk of prediabetes after full adjustment (OR = 1.21, 95CI%: 1.05, 1.39, P = 0.009). In the stratified analysis, this association remained significant independent of obesity, triglycerides, and low-density lipoprotein cholesterol levels. When sarcopenia subjects combined with obesity especially central obesity, the risk of prediabetes was the highest (OR = 2.63, 95CI%: 2.22, 3.11, P < 0.001). Furthermore, a greater proportion of any of impaired glucose tolerance (IGT) individuals was observed in the sarcopenia group compared to the non-sarcopenia group among prediabetes population (41.72% vs 24.06%, P < 0.001). CONCLUSIONS Sarcopenia was positively associated with prevalent prediabetes especially IGT in the non-elderly. Moreover, synergistic interactions between the sarcopenia and obesity could greatly increase the risk of prediabetes.
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Affiliation(s)
- J Xu
- Department of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - X Han
- Department of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Q Chen
- Department of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - M Cai
- Department of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - J Tian
- Department of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Z Yan
- Department of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Q Guo
- Department of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - J Xu
- Department of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
| | - H Lu
- Department of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
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17
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Niu J, Lu M, Liu B. Association between insulin resistance and abnormal menstrual cycle in Chinese patients with polycystic ovary syndrome. J Ovarian Res 2023; 16:45. [PMID: 36823522 PMCID: PMC9948335 DOI: 10.1186/s13048-023-01122-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 02/17/2023] [Indexed: 02/25/2023] Open
Abstract
BACKGROUND Polycystic ovary syndrome (PCOS) is a common reproductive endocrine disorder, which is characterized by insulin resistance (IR) and menstrual cycle disorders. IR is thought of as a pivotal cause of PCOS and related comorbidities. However, the link between IR and abnormal menstrual cycles in PCOS should be further studied. In this study, we clarified the dose-response relationship between IR and abnormal menstrual cycles in patients with PCOS. RESULTS In this retrospective study including 140 patients with PCOS, we found that there was a dose-response relationship between the increased HOMA-IR index and the level of menstrual cycle disorders (1.61 [95%CI: 1.37-1.85] for normal menstruation, 2.02 [95%CI: 1.61-2.44] for oligomenorrhea, 2.35 [95%CI:1.96-2.75] for amenorrhea, P for trend = 0.003). Further stratification analyses showed that this dose-response relationship was more evident in the patients who were younger, had higher BMI, higher AFC numbers, elevated levels of testosterone, anti-Müllerian hormone, inhibin B, and prolactin levels, and had a lower progestogen level. CONCLUSIONS Our study has established an association between IR and abnormal menstrual cycles in patients with PCOS, which can be affected by age, BMI, and hormone levels. Our results might be helpful for further prevention and treatment of amenorrhea in PCOS.
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Affiliation(s)
- Jiali Niu
- grid.258164.c0000 0004 1790 3548Department of Biobank, Shenzhen Baoan Women’s and Children’s Hospital, Jinan University, Shenzhen, 518102 Guangdong People’s Republic of China
| | - Meiyin Lu
- grid.258164.c0000 0004 1790 3548Department of Biobank, Shenzhen Baoan Women’s and Children’s Hospital, Jinan University, Shenzhen, 518102 Guangdong People’s Republic of China
| | - Bin Liu
- Department of Biobank, Shenzhen Baoan Women's and Children's Hospital, Jinan University, Shenzhen, 518102, Guangdong, People's Republic of China.
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18
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Toor S, Yardley JE, Momeni Z. Type 1 Diabetes and the Menstrual Cycle: Where/How Does Exercise Fit in? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2772. [PMID: 36833469 PMCID: PMC9957258 DOI: 10.3390/ijerph20042772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 06/18/2023]
Abstract
Regular exercise is associated with substantial health benefits for individuals with type 1 diabetes (T1D). However, the fear of hypoglycemia (low blood glucose) due to activity-induced declines in blood glucose levels acts as a major barrier to partaking in exercise in this population. For females with T1D, hormonal fluctuations during the menstrual cycle and their effects on blood glucose levels can act as an additional barrier. The impact that these cyclic changes may have on blood glucose and insulin needs and the consequent risk of hypoglycemia during or after exercise are still unknown in this population. Therefore, in this narrative review, we gathered existing knowledge about the menstrual cycle in T1D and the effects of different cyclic phases on substrate metabolism and glucose response to exercise in females with T1D to increase knowledge and understanding around exercise in this underrepresented population. This increased knowledge in such an understudied area can help to better inform exercise guidelines for females with T1D. It can also play an important role in eliminating a significant barrier to exercise in this population, which has the potential to increase activity, improve mental health and quality of life, and decrease the risk of diabetes-related complications.
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Affiliation(s)
- Saru Toor
- Physical Activity and Diabetes Laboratory, Alberta Diabetes Institute, Edmonton, AB T6G 2E1, Canada
- Immunology and Infection Program, Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada
| | - Jane E. Yardley
- Physical Activity and Diabetes Laboratory, Alberta Diabetes Institute, Edmonton, AB T6G 2E1, Canada
- Augustana Faculty, University of Alberta, Camrose, AB T4V 2R3, Canada
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, AB T6G 2H9, Canada
- Women’s and Children’s Health Research Institute, University of Alberta, Edmonton, AB T6G 1C9, Canada
| | - Zeinab Momeni
- Physical Activity and Diabetes Laboratory, Alberta Diabetes Institute, Edmonton, AB T6G 2E1, Canada
- Augustana Faculty, University of Alberta, Camrose, AB T4V 2R3, Canada
- Women’s and Children’s Health Research Institute, University of Alberta, Edmonton, AB T6G 1C9, Canada
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19
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Valsdottir TD, Øvrebø B, Kornfeldt TM, Litleskare S, Johansen EI, Henriksen C, Jensen J. Effect of aerobic exercise and low-carbohydrate high-fat diet on glucose tolerance and android/gynoid fat in overweight/obese women: A randomized controlled trial. Front Physiol 2023; 14:1056296. [PMID: 36760521 PMCID: PMC9902511 DOI: 10.3389/fphys.2023.1056296] [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: 09/28/2022] [Accepted: 01/09/2023] [Indexed: 01/25/2023] Open
Abstract
The study was designed to compare the effects of weight loss induced by a low-carbohydrate-high-fat diet or a normal diet, with and without exercise, on glucose tolerance measured as area under the curve (AUC), and android (A) and gynoid (G) fat distribution. The study was registered at clinicaltrials.gov; NCT04100356. In total, 57 women classified as overweight or obese (age 40 ± 3.5 years, body mass index 31.1 ± 2.6 kg/m2) were randomly assigned and completed a 10-week intervention using a low-carbohydrate high-fat diet or a normal diet, with or without aerobic interval exercise. An equal deficit of 700 kcal/day was prescribed, either restricting the diet only, or moderately restricting diet and including three 50-min high-intensity bicycle sessions per week. There were thus four groups: normal diet (NORM); low-carbohydrate-high-fat diet (LCHF); normal diet with exercise (NORM-EX); and low-carbohydrate-high-fat diet with exercise (LCHF-EX). Linear mixed models was used to assess differences between groups. With all groups pooled, the intervention resulted in a weight loss of 6.7 ± 2.5% (p < 0.001). The intervention did not result in differences between groups in AUC glucose, nor in fasting glucose or indicis for insulin resistance such as Homeostatic Model Assessment, Matsuda Insulin Sensitivity Index, insulinogenic index and disposition index. Post-intervention android fat was lower in LCHF than NORM (3,223 ± 727 vs. 2,533 ± 535 g, p = 0.041). LCHF reached a lower A/G ratio than NORM (0.94 ± 0.12 vs. 1.04 ± 0.09, p = 0.011) and LCHF-EX (0.94 ± 0.12 vs. 1.09 ± 0.09, p < 0.001) after the intervention. LCHF resulted in lower android fat mass compared to NORM and the lowest A/G ratio compared to the other matched groups, but with no accompanying improvement in AUC glucose. In conclusion, although all groups achieved improvements in glucose tolerance, no superior effect was observed with the LCHF diet, neither with nor without exercise.
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Affiliation(s)
- Thorhildur Ditta Valsdottir
- Institute of Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway,Department of Health Sciences, Kristiania University College, Oslo, Norway,*Correspondence: Thorhildur Ditta Valsdottir,
| | - Bente Øvrebø
- Department of Sport Science and Physical Education, University of Agder, Kristiansand, Norway
| | - Thea Martine Kornfeldt
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Sigbjørn Litleskare
- Department of Sports and Physical Education, Inland Norway University of Applied Sciences, Elverum, Norway
| | - Egil Ivar Johansen
- Department of Health Sciences, Kristiania University College, Oslo, Norway
| | - Christine Henriksen
- Institute of Basic Medical Sciences, Department of Nutrition, Faculty of Medicine University of Oslo, Oslo, Norway
| | - Jørgen Jensen
- Department of Health Sciences, Kristiania University College, Oslo, Norway
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20
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Swain CTV, Drummond AE, Milne RL, English DR, Brown KA, Chong JE, Skinner TL, van Roekel EH, Moore MM, Gaunt TR, Martin RM, Lewis SJ, Lynch BM. Linking Physical Activity to Breast Cancer Risk via Insulin/Insulin-Like Growth Factor Signaling System, Part 1: The Effect of Physical Activity on the Insulin/Insulin-Like Growth Factor Signaling System. Cancer Epidemiol Biomarkers Prev 2022; 31:2106-2115. [PMID: 36464996 DOI: 10.1158/1055-9965.epi-22-0504] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 08/10/2022] [Accepted: 08/17/2022] [Indexed: 12/12/2022] Open
Abstract
Physical activity may reduce the risk of developing breast cancer via its effect on the insulin/insulin-like growth factor (IGF) signaling system. A systematic review searched for randomized controlled trials (RCT), Mendelian randomization and prospective cohort studies that examined the effects of physical activity on insulin/IGF signaling [IGFs, their binding proteins (IGFBP), and markers of insulin resistance] in adult women. Meta-analyses were performed to generate effect estimates. Risk of bias was assessed, and the Grading of Recommendations Assessment, Development, and Evaluation system used to determine the overall quality of the evidence. Fifty-eight RCTs met our inclusion criteria, no observational or Mendelian randomization studies met the criteria for inclusion. Meta-analyses indicated that physical activity interventions (vs. control) reduced fasting insulin, the Homeostatic Model Assessment for Insulin Resistance and fasting glucose. Physical activity increased IGF-1, but there was no clear effect on IGFBP-3 or the ratio of IGF-1:IGFBP-3. Strong evidence was only established for fasting insulin and insulin resistance. Further research is needed to examine the effect of physical activity on C-peptide and HBA1c in women. Reductions in fasting insulin and insulin resistance following exercise suggest some biological plausibility of the first part of the physical activity-insulin/IGF signaling-breast cancer pathway. See related article by Drummond et al., p. 2116.
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Affiliation(s)
| | - Ann E Drummond
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia
| | - Dallas R English
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Kristy A Brown
- Department of Medicine, Weill Cornell Medicine, New York, New York
| | - Jamie E Chong
- The University of Queensland, School of Human Movement and Nutrition Sciences, St. Lucia, Australia
| | - Tina L Skinner
- The University of Queensland, School of Human Movement and Nutrition Sciences, St. Lucia, Australia
| | - Eline H van Roekel
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - Melissa M Moore
- Medical Oncology, St. Vincent's Hospital, Melbourne, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Australia
| | - Tom R Gaunt
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Richard M Martin
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
- IHR Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, United Kingdom
| | - Sarah J Lewis
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Brigid M Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
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21
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Wagner L, Veit R, Fritsche L, Häring HU, Fritsche A, Birkenfeld AL, Heni M, Preissl H, Kullmann S. Sex differences in central insulin action: Effect of intranasal insulin on neural food cue reactivity in adults with normal weight and overweight. Int J Obes (Lond) 2022; 46:1662-1670. [PMID: 35715625 PMCID: PMC9395264 DOI: 10.1038/s41366-022-01167-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 05/30/2022] [Accepted: 06/07/2022] [Indexed: 01/17/2023]
Abstract
Background/Objectives Central insulin action influences cognitive processes, peripheral metabolism, and eating behavior. However, the contribution of obesity and sex on central insulin-mediated neural food cue processing still remains unclear. Subjects/Methods In a randomized within-participant design, including two visits, 60 participants (30 women, BMI 18–32 kg/m2, age 21–69 years) underwent a functional MRI task measuring blood oxygen level-dependent (BOLD) signal in response to visual food cues after intranasal insulin or placebo spray administration. Central insulin action was defined as the neural BOLD response to food cues after insulin compared to placebo administration. Afterwards, participants were asked to rate the food cues for desire to eat (i.e., wanting rating). For statistical analyses, participants were grouped according to BMI and sex. Results Food cue reactivity in the amygdala showed higher BOLD activation in response to central insulin compared to placebo. Furthermore, women with overweight and obesity and men of normal weight showed higher BOLD neural food cue responsivity to central insulin compared to placebo. Higher central insulin action in the insular cortex was associated with better peripheral insulin sensitivity and higher cognitive control. Moreover, central insulin action in the dorsolateral prefrontal cortex (DLPFC) revealed significant sex differences. In response to central insulin compared to placebo, men showed lower DLPFC BOLD activity, whereas women showed higher DLPFC activity in response to highly desired food cues. On behavioral level, central insulin action significantly reduced hunger, whereas the desire to eat, especially for low caloric food cues was significantly higher with central insulin than with placebo. Conclusions Obesity and sex influenced the central insulin-mediated neural BOLD activity to visual food cues in brain regions implicated in reward and cognitive control. These findings show that central insulin action regulates food response differentially in men and women, which may have consequences for metabolism and eating behavior.
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Affiliation(s)
- Lore Wagner
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany. .,German Center for Diabetes Research (DZD e.V.), Tübingen, Germany.
| | - Ralf Veit
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Tübingen, Germany
| | - Louise Fritsche
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Tübingen, Germany
| | - Hans-Ulrich Häring
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Tübingen, Germany.,Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Andreas Fritsche
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Tübingen, Germany.,Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany.,Nutritional and Preventive Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Andreas L Birkenfeld
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Tübingen, Germany.,Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Martin Heni
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Tübingen, Germany.,Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany.,Institute for Clinical Chemistry and Pathobiochemistry, University Hospital Tübingen, Tübingen, Germany.,Department of Internal Medicine I, Division of Endocrinology and Diabetology, Ulm University Hospital, Ulm, Germany
| | - Hubert Preissl
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Tübingen, Germany.,Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany.,Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Center Munich, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Stephanie Kullmann
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Tübingen, Germany.,Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany
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22
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Cooper DM, Bar-Yoseph R, Liem RI, Keens TG, McColley SA, Radom-Aizik S. Pediatric Cardiopulmonary Exercise Testing: Interoperability Through Domain Analysis Modeling and a National Survey. Med Sci Sports Exerc 2022; 54:741-750. [PMID: 35148537 DOI: 10.1249/mss.0000000000002894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE The electronic health record, data science advances, and dynamic environmental and infectious threats to child health highlight the need for harmonized and interoperable approaches to pediatric cardiopulmonary exercise testing (CPET). Accordingly, we developed a terminology harmonization in exercise medicine and exercise science domain analysis model (THEMES DAM) to structure CPET data elements. METHODS THEMES DAM identified 114 data elements, including participant information, calibration, equipment, protocols, laboratory personnel, encouragement strategies, and analysis procedures. We used the THEMES DAM, vetted by the international data standards organization HL7, to construct a current-state survey of pediatric CPET centers in the United States. Forty-eight of 101 centers responded to a questionnaire covering seven major topic areas (38 items). RESULTS Centers predominantly performed between 100 and 500 tests annually. Cardiac disease represented 55% of referrals. Almost all centers calibrated gas concentrations and flow daily, but 42% never calibrated their treadmill or cycle ergometers. All centers measured V̇O2peakbut calculated differently. Centers used a variety of protocols (e.g., for treadmill: 61%, Bruce; 43%, modified Bruce; 59%, other); 44% calculated CPET slopes from submaximal portions of CPET (e.g., V̇O2-HR). All centers verbally encouraged participants, but only 40% used a standardized approach. The interpretation of CPET was done by physicians (60%), exercise physiologists (25%), exercise technicians (10%), nurses (1%), or others (4%). Ninety-one percent would agree to collaborate in multicenter research, 89% to establish dynamic reference values, and 83% to better interpret CPET. CONCLUSIONS The survey data and the implementation of THEMES DAM could accelerate interoperability across multiple centers. This would facilitate a nimble approach to create pediatric reference values responsive to the constantly changing health environment and stimulate novel approaches to CPET research and clinical application.
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Affiliation(s)
- Dan M Cooper
- Institute of Clinical Translational Science and Pediatric Exercise and Genomics Research Center, Department of Pediatrics, School of Medicine, University of California at Irvine, Irvine, CA
| | - Ronen Bar-Yoseph
- Pediatric Exercise and Genomics Research Center, Department of Pediatrics, School of Medicine, University of California at Irvine, Irvine, CA
| | - Robert I Liem
- Division of Hematology, Oncology and Stem Cell Transplant, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL
| | - Thomas G Keens
- Division of Pediatric Pulmonology, Department of Pediatrics, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Susanna A McColley
- Division of Pulmonary and Sleep Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL
| | - Shlomit Radom-Aizik
- Pediatric Exercise and Genomics Research Center, Department of Pediatrics, School of Medicine, University of California at Irvine, Irvine, CA
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23
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Wang Z, Huang X, Li J, Liu N, Wei Q. Association between waist-hip ratio and subclinical myocardial injury in the general population: Insights from the NHANES. Front Endocrinol (Lausanne) 2022; 13:975327. [PMID: 36213276 PMCID: PMC9537767 DOI: 10.3389/fendo.2022.975327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 09/13/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Although studies have shown that higher waist-hip ratio (WHR) is closely related to higher risk of metabolism-related diseases, the relationship between WHR and subclinical myocardial injury (SC-MI) is unknown. This study was to evaluate the effect of WHR on SC-MI in the general population free from cardiovascular disease. METHODS The cross-sectional study included 6253 participants without cardiovascular disease (CVD) from the third National Health and Nutrition Examination Survey (NHANES III) for further analysis. Restricted cubic spline, multivariable logistic regression models and subgroup analyses were performed to assess the association between WHR and SC-MI. RESULTS The multivariate logistic regression showed that after adjusting for potential confounding factors, participants in the higher quartiles had higher risk of developing SC-MI than those in the first quartile of WHR [Q3, OR (95% CI): 1.523 (1.159, 2.000), P = 0.002; Q4, OR (95% CI): 1.719 (1.279, 2.311), P < 0.001], and this relationship was robust among the participants aged ≥ 50 years, with hypertension and without diabetes. Every 0.1 unit increase in WHR, as a continuous variable, increased the risk of SC-MI by more than 20% [OR (95% CI): 1.233 (1.092, 1.392), P = 0.001]. And restricted cubic spline analysis showed that there was a linear positive correlation between WHR and the risk of SC-MI. CONCLUSIONS WHR may be an independent risk factor for SC-MI in the general population free from CVD.
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Affiliation(s)
- Zhenwei Wang
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Xu Huang
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Jingjie Li
- Department of Hematology and Oncology, Affiliated Xuchang People’s Hospital of Xinxiang Medical College, Xuchang, China
| | - Naifeng Liu
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
- *Correspondence: Naifeng Liu, ; Qin Wei,
| | - Qin Wei
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
- *Correspondence: Naifeng Liu, ; Qin Wei,
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24
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MacGregor KA, Rodriguez-Sanchez N, Di Virgilio TG, Barwell ND, Gallagher IJ, Moran CN. Changes in adipose tissue microRNA expression across the menstrual cycle in regularly menstruating females: a pilot study. Physiol Genomics 2022; 54:1-10. [PMID: 34796732 DOI: 10.1152/physiolgenomics.00088.2021] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Cyclical changes in hormone profiles across the menstrual cycle are associated with alterations in metabolic control. MicroRNAs (miRNAs) contribute to regulating metabolic control, including adipose tissue metabolism. How fluctuations in hormonal profiles across the menstrual cycle affect adipose tissue miRNA expression remains unknown. Eleven healthy, regularly menstruating females underwent four sampling visits across their menstrual cycle. Subcutaneous abdominal adipose tissue and venous blood samples were collected at each sampling visit. Luteinizing hormone (LH) tests, calendar counting, and serum hormone concentrations were used to determine menstrual cycle phases: early-follicular (EF), late-follicular (LF), postovulatory (PO), and midluteal (ML). Serum follicle-stimulating hormone, LH, estrogen, progesterone, and testosterone were determined using multiplex magnetic bead panels and enzyme-linked immunosorbent assays. Global adipose tissue miRNA expression levels were determined via microarray in a subset of participants (n = 8) and 17 candidate miRNAs were validated by RT-qPCR in the whole cohort (n = 11). Global analysis of adipose tissue miRNA expression identified 33 miRNAs significantly altered across the menstrual cycle; however, no significant differences remained after correcting for multiple testing (P > 0.05). RT-qPCR analysis of candidate miRNAs revealed miR-497-5p expression was significantly altered across the menstrual cycle ([Formula: see text] = 0.18, P = 0.03); however, post hoc tests did not reveal any significant differences between menstrual cycle phases (P > 0.05). miR-30c-5p was associated with testosterone concentration (R2 = 0.13, P = 0.033). These pilot data indicate differences in adipose tissue miRNAs in healthy women across the menstrual cycle and a weak association with ovarian hormones. Further research in larger sample sizes is required to confirm regulation of miRNA expression across the menstrual cycle.
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Affiliation(s)
- Kirstin A MacGregor
- Physiology, Exercise and Nutrition Research Group, University of Stirling, Stirling, United Kingdom
| | - Nidia Rodriguez-Sanchez
- Physiology, Exercise and Nutrition Research Group, University of Stirling, Stirling, United Kingdom
| | - Thomas G Di Virgilio
- Physiology, Exercise and Nutrition Research Group, University of Stirling, Stirling, United Kingdom
| | - Nick D Barwell
- Department of Diabetes and Endocrinology, Forth Valley Royal Hospital, Larbert, United Kingdom
| | - Iain J Gallagher
- Physiology, Exercise and Nutrition Research Group, University of Stirling, Stirling, United Kingdom
| | - Colin N Moran
- Physiology, Exercise and Nutrition Research Group, University of Stirling, Stirling, United Kingdom
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