Pub Date : 2024-12-01DOI: 10.1016/j.exger.2024.112643
Junwen Wang , Lin Bai , Yuyang Ye, Xuefeng Chen, Xinru Hu, Yong Peng
Backgrounds
It remains unclear whether there are sex differences in the correlation between klotho and mortality risk. The purpose of our study is to investigate the relationship between klotho levels and all-cause mortality, specifically examining potential sex disparities.
Methods
The study utilized data from the National Health and Nutrition Examination Survey. The study employed the Cox proportional hazards model and Kaplan-Meier survival curves to conduct multivariate analyses investigating the associations between klotho and mortality. The impact of klotho level on mortality was assessed by a restricted cubic spline curve.
Results
Our study included 13,748 participants. The hazard ratios (HR) for all-cause mortality were found to be higher in males compared to females. The risk of all-cause mortality decreased until the klotho level reached 959 pg/mL in all-cause mortality, then increased thereafter in females (P value for nonlinearity = 0.01, P overall = 0.02); no curved relationship was observed in males.
Conclusion
Klotho levels and mortality follow a U-shaped curve, with sex differences in the relationship. Males with higher klotho levels have a higher risk of all-cause death than females.
{"title":"Sex differences in mortality risk and U-shaped relationship with klotho levels: A long-term cohort study","authors":"Junwen Wang , Lin Bai , Yuyang Ye, Xuefeng Chen, Xinru Hu, Yong Peng","doi":"10.1016/j.exger.2024.112643","DOIUrl":"10.1016/j.exger.2024.112643","url":null,"abstract":"<div><h3>Backgrounds</h3><div>It remains unclear whether there are sex differences in the correlation between klotho and mortality risk. The purpose of our study is to investigate the relationship between klotho levels and all-cause mortality, specifically examining potential sex disparities.</div></div><div><h3>Methods</h3><div>The study utilized data from the National Health and Nutrition Examination Survey. The study employed the Cox proportional hazards model and Kaplan-Meier survival curves to conduct multivariate analyses investigating the associations between klotho and mortality. The impact of klotho level on mortality was assessed by a restricted cubic spline curve.</div></div><div><h3>Results</h3><div>Our study included 13,748 participants. The hazard ratios (HR) for all-cause mortality were found to be higher in males compared to females. The risk of all-cause mortality decreased until the klotho level reached 959 pg/mL in all-cause mortality, then increased thereafter in females (<em>P</em> value for nonlinearity = 0.01, P overall = 0.02); no curved relationship was observed in males.</div></div><div><h3>Conclusion</h3><div>Klotho levels and mortality follow a U-shaped curve, with sex differences in the relationship. Males with higher klotho levels have a higher risk of all-cause death than females.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"198 ","pages":"Article 112643"},"PeriodicalIF":3.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-26DOI: 10.1016/j.exger.2024.112636
Kai Wang , Suyeon Kim , Taehyun Song , Seongryu Bae , Hyuntae Park , S. Jun Son
Background
Poor physical performance appears to be different across age and sex. The aim of this study was to examine changes in physical performance across age groups by sex.
Methods
A cross-sectional study was conducted with 292 community-dwelling older adults (144 males, 148 females; age: 74.7 ± 5.2 years, body mass index: 23.8 ± 2.7 kg/m2). Physical performance tests included (i) strength (handgrip, knee extension, ankle dorsiflexion, ankle plantarflexion, and toe grip), (ii) functional mobility (5 sit-to-stand, 4-m gait speed, and 4-m fast gait speed), and (iii) postural control (timed single-leg stance). Physical performance was compared across four different age groups by sex using ANOVA tests, T-score, and linear regression analysis. All statistical analysis was set at 0.05.
Results
ANOVA showed a significant age effect (p < 0.05) on physical performance measures with only exception for ankle muscle strength. T-score and linear regression analyses revealed sex-specific trends. In males, postural control showed the most significant poor performance, followed by strength. In females, the most notable poor performance was also observed in postural control, followed by functional mobility.
Conclusions
Most main outcome measures in physical performance worsened over time across age groups while poor performance pattern was different between older males (strength) and females (functional mobility). We highlighted the importance of assessing strength, functional mobility, and postural control in older adults. Based on observed poor performance patterns across age groups by sex, sex-specific interventions should be implemented.
{"title":"Sex-specific poor physical performance in Korean community-dwelling older adults","authors":"Kai Wang , Suyeon Kim , Taehyun Song , Seongryu Bae , Hyuntae Park , S. Jun Son","doi":"10.1016/j.exger.2024.112636","DOIUrl":"10.1016/j.exger.2024.112636","url":null,"abstract":"<div><h3>Background</h3><div>Poor physical performance appears to be different across age and sex. The aim of this study was to examine changes in physical performance across age groups by sex.</div></div><div><h3>Methods</h3><div>A cross-sectional study was conducted with 292 community-dwelling older adults (144 males, 148 females; age: 74.7 ± 5.2 years, body mass index: 23.8 ± 2.7 kg/m<sup>2</sup>). Physical performance tests included (i) strength (handgrip, knee extension, ankle dorsiflexion, ankle plantarflexion, and toe grip), (ii) functional mobility (5 sit-to-stand, 4-m gait speed, and 4-m fast gait speed), and (iii) postural control (timed single-leg stance). Physical performance was compared across four different age groups by sex using ANOVA tests, T-score, and linear regression analysis. All statistical analysis was set at 0.05.</div></div><div><h3>Results</h3><div>ANOVA showed a significant age effect (<em>p</em> < 0.05) on physical performance measures with only exception for ankle muscle strength. T-score and linear regression analyses revealed sex-specific trends. In males, postural control showed the most significant poor performance, followed by strength. In females, the most notable poor performance was also observed in postural control, followed by functional mobility.</div></div><div><h3>Conclusions</h3><div>Most main outcome measures in physical performance worsened over time across age groups while poor performance pattern was different between older males (strength) and females (functional mobility). We highlighted the importance of assessing strength, functional mobility, and postural control in older adults. Based on observed poor performance patterns across age groups by sex, sex-specific interventions should be implemented.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"198 ","pages":"Article 112636"},"PeriodicalIF":3.9,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142720164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-26DOI: 10.1016/j.exger.2024.112641
Huanting Zhang , Wenhao Zhou , Jianan He , Xingyou Liu , Jie Shen
Objective
This study on the aged population in China first used a large-scale longitudinal survey database to explore how different life factors affect their ability to engage in daily activities. We select and integrate multiple machine models to obtain an excellent model for analyzing relationships. Based on the identified factors, our goal is to help them maintain a good daily life and quality of life.
Method
We analyzed data from 13,220 older individuals participating in the China Longitudinal Health Longevity Survey (CLHLS) from 2002 to 2018. ADL was measured based on participants' self-reported results. Nine machine learning algorithms, including neural networks and an ensemble model, were employed with a 2/3 training and 1/3 testing split. Model performance was evaluated using the area under the curve (AUC), sensitivity, and specificity, while logistic regression assessed the relationship between lifestyle changes and ADL disorders.
Result
The K-nearest neighbors (KNN) and decision tree algorithms showed the best performance, with AUCs of 0.8598 and 0.8322, respectively. Combining results from all models improved the AUC to 0.8619. Activities, such as playing mahjong, engaging in outdoor work, and reducing TV time, were linked to lower ADL decline, with greater participation in social activities and pet care also being beneficial.
Conclusion
Machine learning algorithms, especially ensemble models, can effectively identify older adults at risk for ADL disorders. Increased outdoor activity, social engagement, and dietary adjustments are associated with a decreased risk of ADL deterioration.
Translational significance
1)
The primary question addressed by this study is: What modifiable risk factors can impact Activities of Daily Living (ADL) in older adults?
2)
The main finding of this study is that specific daily activities, such as playing mahjong and engaging in outdoor activities, significantly reduce the risk of future ADL disorders in older adults. Additionally, a robust predictive model was developed using longitudinal data from 13,220 individuals, improving the accuracy of ADL disorder risk predictions.
3)
The meaning of the finding is that incorporating behavioral interventions into community care strategies can effectively enhance the well-being of older adults by minimizing their risk of ADL dysfunction.
{"title":"Machine learning insights on activities of daily living disorders in Chinese older adults","authors":"Huanting Zhang , Wenhao Zhou , Jianan He , Xingyou Liu , Jie Shen","doi":"10.1016/j.exger.2024.112641","DOIUrl":"10.1016/j.exger.2024.112641","url":null,"abstract":"<div><h3>Objective</h3><div>This study on the aged population in China first used a large-scale longitudinal survey database to explore how different life factors affect their ability to engage in daily activities. We select and integrate multiple machine models to obtain an excellent model for analyzing relationships. Based on the identified factors, our goal is to help them maintain a good daily life and quality of life.</div></div><div><h3>Method</h3><div>We analyzed data from 13,220 older individuals participating in the China Longitudinal Health Longevity Survey (CLHLS) from 2002 to 2018. ADL was measured based on participants' self-reported results. Nine machine learning algorithms, including neural networks and an ensemble model, were employed with a 2/3 training and 1/3 testing split. Model performance was evaluated using the area under the curve (AUC), sensitivity, and specificity, while logistic regression assessed the relationship between lifestyle changes and ADL disorders.</div></div><div><h3>Result</h3><div>The K-nearest neighbors (KNN) and decision tree algorithms showed the best performance, with AUCs of 0.8598 and 0.8322, respectively. Combining results from all models improved the AUC to 0.8619. Activities, such as playing mahjong, engaging in outdoor work, and reducing TV time, were linked to lower ADL decline, with greater participation in social activities and pet care also being beneficial.</div></div><div><h3>Conclusion</h3><div>Machine learning algorithms, especially ensemble models, can effectively identify older adults at risk for ADL disorders. Increased outdoor activity, social engagement, and dietary adjustments are associated with a decreased risk of ADL deterioration.</div></div><div><h3>Translational significance</h3><div><ul><li><span>1)</span><span><div>The primary question addressed by this study is: What modifiable risk factors can impact Activities of Daily Living (ADL) in older adults?</div></span></li><li><span>2)</span><span><div>The main finding of this study is that specific daily activities, such as playing mahjong and engaging in outdoor activities, significantly reduce the risk of future ADL disorders in older adults. Additionally, a robust predictive model was developed using longitudinal data from 13,220 individuals, improving the accuracy of ADL disorder risk predictions.</div></span></li><li><span>3)</span><span><div>The meaning of the finding is that incorporating behavioral interventions into community care strategies can effectively enhance the well-being of older adults by minimizing their risk of ADL dysfunction.</div></span></li></ul></div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"198 ","pages":"Article 112641"},"PeriodicalIF":3.9,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142720165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-25DOI: 10.1016/j.exger.2024.112634
Fang Li , Xue Tian , Lu Wang , Ling-Pei Wu , Xiao Liu , Hong-Ying Peng
<div><h3>Objective</h3><div>The aim of this study is to investigate the early prognostic efficacy of plasma soluble urokinase-type plasminogen activator receptor (suPAR), soluble tumor necrosis factor receptor 1 (sTNFR1), and soluble tumor necrosis factor receptor 2 (sTNFR2) in complicated acute kidney injury (AKI) in patients with coronavirus disease 2019 (COVID-19), and to analyze the relevant factors contributing to complicated AKI in these patients.</div></div><div><h3>Methods</h3><div>Patients with COVID-19 hospitalized at the Affiliated Baiyun Hospital of Guizhou Medical University from March 2022 to March 2024 were selected as study participants. A total of 589 patients met the inclusion and exclusion criteria, 68 patients complicated with AKI were classified as AKI group, and the remaining 521 cases were divided into proportion sampling method and randomly selected 200 samples, which were classified as non-AKI group. Additionally, 50 healthy controls were enrolled as the control group. Logistic regression analysis was conducted to identify the relevant factors associated with complicated AKI in patients with COVID-19. Receiver operating characteristic (ROC) curves were plotted to evaluate the prognostic efficacy of plasma suPAR, sTNFR1, and sTNFR2 indicators for complicated AKI in patients with COVID-19.</div></div><div><h3>Results</h3><div>Among the patients with COVID-19 in the AKI group, 43 were males (63.20 %), with a median age of 79.00 (interquartile range: 75.00, 83.00) years, while the non-AKI group comprised 83 males (41.50 %), with a median age of 73.00 (interquartile range: 60.00, 80.75) years. Comparison of the sex and age between the two groups indicated that males and elderly patients had increased risks of complicated AKI (<em>P</em> < 0.05). Plasma levels of suPAR, sTNFR1, and sTNFR2 in the AKI group were significantly higher than those in the non-AKI group (<em>P</em> < 0.05). Logistic regression analysis indicated that suPAR and sTNFR2 were independent factors influencing complicated AKI in patients with COVID-19 (<em>P</em> < 0.05). The ROC curve for a single indicator showed that suPAR had the highest prognostic efficacy for complicated AKI, with an area under the curve (AUC) of 0.813, a sensitivity of 79.4 %, and a specificity of 74.0 %. The combined use of suPAR and sTNFR2 for risk assessment yielded the highest AUC of 0.838, with a sensitivity of 66.2 % and a specificity of 87.5 %. The combined risk assessment using all three indicators (suPAR, sTNFR1, and sTNFR2) had an AUC of 0.837, with a sensitivity of 64.7 % and a specificity of 89.0 %.</div></div><div><h3>Conclusion</h3><div>Elderly patients had increased risks of complicated AKI. Indicators such as suPAR, sTNFR1, and sTNFR2 can assist in assessing the risk in patients with COVID-19 complicated AKI, with suPAR demonstrating the highest prognostic efficacy as a single indicator. The combined detection of suPAR, sTNFR1, and sTNFR2 offers greater prognos
研究目的本研究旨在探讨血浆可溶性尿激酶型纤溶酶原激活物受体（suPAR）、可溶性肿瘤坏死因子受体1（sTNFR1）和可溶性肿瘤坏死因子受体2（sTNFR2）在2019年冠状病毒病（COVID-19）患者并发急性肾损伤（AKI）中的早期预后效果，并分析导致这些患者并发AKI的相关因素：选取2022年3月至2024年3月在贵州医科大学附属白云医院住院治疗的COVID-19患者作为研究对象。共有 589 例患者符合纳入和排除标准，其中 68 例并发 AKI 患者被划分为 AKI 组，其余 521 例采用比例抽样法随机抽取 200 例样本，被划分为非 AKI 组。此外，还招募了 50 名健康对照者作为对照组。为确定COVID-19患者复杂性AKI的相关因素，进行了逻辑回归分析。绘制了接收者操作特征曲线（ROC），以评估血浆 suPAR、sTNFR1 和 sTNFR2 指标对 COVID-19 患者复杂性 AKI 的预后效果：AKI组COVID-19患者中男性43人（占63.20%），中位年龄79.00（四分位距：75.00，83.00）岁；非AKI组男性83人（占41.50%），中位年龄73.00（四分位距：60.00，80.75）岁。对两组患者的性别和年龄进行比较后发现，男性和老年患者发生复杂性 AKI 的风险更高（P 结论：男性和老年患者发生复杂性 AKI 的风险更高）：老年患者发生复杂性 AKI 的风险更高。suPAR、sTNFR1 和 sTNFR2 等指标可帮助评估 COVID-19 并发 AKI 患者的风险，其中 suPAR 作为单一指标的预后效力最高。联合检测 suPAR、sTNFR1 和 sTNFR2 比使用任何单一指标都更有预后价值。
{"title":"Role of plasma suPAR, sTNFR1, and sTNFR2 levels in risk stratification and outcome prediction of complicated acute kidney injury in elderly patients with coronavirus disease 2019","authors":"Fang Li , Xue Tian , Lu Wang , Ling-Pei Wu , Xiao Liu , Hong-Ying Peng","doi":"10.1016/j.exger.2024.112634","DOIUrl":"10.1016/j.exger.2024.112634","url":null,"abstract":"<div><h3>Objective</h3><div>The aim of this study is to investigate the early prognostic efficacy of plasma soluble urokinase-type plasminogen activator receptor (suPAR), soluble tumor necrosis factor receptor 1 (sTNFR1), and soluble tumor necrosis factor receptor 2 (sTNFR2) in complicated acute kidney injury (AKI) in patients with coronavirus disease 2019 (COVID-19), and to analyze the relevant factors contributing to complicated AKI in these patients.</div></div><div><h3>Methods</h3><div>Patients with COVID-19 hospitalized at the Affiliated Baiyun Hospital of Guizhou Medical University from March 2022 to March 2024 were selected as study participants. A total of 589 patients met the inclusion and exclusion criteria, 68 patients complicated with AKI were classified as AKI group, and the remaining 521 cases were divided into proportion sampling method and randomly selected 200 samples, which were classified as non-AKI group. Additionally, 50 healthy controls were enrolled as the control group. Logistic regression analysis was conducted to identify the relevant factors associated with complicated AKI in patients with COVID-19. Receiver operating characteristic (ROC) curves were plotted to evaluate the prognostic efficacy of plasma suPAR, sTNFR1, and sTNFR2 indicators for complicated AKI in patients with COVID-19.</div></div><div><h3>Results</h3><div>Among the patients with COVID-19 in the AKI group, 43 were males (63.20 %), with a median age of 79.00 (interquartile range: 75.00, 83.00) years, while the non-AKI group comprised 83 males (41.50 %), with a median age of 73.00 (interquartile range: 60.00, 80.75) years. Comparison of the sex and age between the two groups indicated that males and elderly patients had increased risks of complicated AKI (<em>P</em> < 0.05). Plasma levels of suPAR, sTNFR1, and sTNFR2 in the AKI group were significantly higher than those in the non-AKI group (<em>P</em> < 0.05). Logistic regression analysis indicated that suPAR and sTNFR2 were independent factors influencing complicated AKI in patients with COVID-19 (<em>P</em> < 0.05). The ROC curve for a single indicator showed that suPAR had the highest prognostic efficacy for complicated AKI, with an area under the curve (AUC) of 0.813, a sensitivity of 79.4 %, and a specificity of 74.0 %. The combined use of suPAR and sTNFR2 for risk assessment yielded the highest AUC of 0.838, with a sensitivity of 66.2 % and a specificity of 87.5 %. The combined risk assessment using all three indicators (suPAR, sTNFR1, and sTNFR2) had an AUC of 0.837, with a sensitivity of 64.7 % and a specificity of 89.0 %.</div></div><div><h3>Conclusion</h3><div>Elderly patients had increased risks of complicated AKI. Indicators such as suPAR, sTNFR1, and sTNFR2 can assist in assessing the risk in patients with COVID-19 complicated AKI, with suPAR demonstrating the highest prognostic efficacy as a single indicator. The combined detection of suPAR, sTNFR1, and sTNFR2 offers greater prognos","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"198 ","pages":"Article 112634"},"PeriodicalIF":3.9,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-24DOI: 10.1016/j.exger.2024.112640
Wilder Villamil-Parra , Luisa Moscoso-Loaiza
Chronic Non-Communicable Diseases (NCDs), including cardiovascular diseases, cancer, chronic respiratory diseases, and diabetes, are the leading global causes of mortality, accounting for 71 % of deaths annually. Metabolic Syndrome (MS), characterized by hypertension, obesity, insulin resistance, and dyslipidemia, is a significant risk factor for NCDs. Physical inactivity exacerbates these conditions, contributing to poor cardiovascular and mental health outcomes.
Objective
To analyze the effects of physical exercise on Irisin and Brain-Derived Neurotrophic Factor (BDNF) concentrations and their relationship with cardiometabolic and mental health of individuals with MS.
Methods
A systematic review was conducted of articles published between August 2023 and June 2024 in ScienceDirect, PubMed, and SciELO, following PRISMA guidelines. Inclusion criteria encompassed observational studies, clinical trials, and reviews with high methodological quality. The review focused on Irisin, BDNF, physical exercise, and MS.
Results
A total of 584 articles were identified, with 43 selected for detailed analysis. The review highlights that physical exercise significantly impacts Irisin and BDNF levels, which in turn influence metabolic and mental health. Irisin, a myokine secreted during exercise, promotes the conversion of white adipose tissue to brown adipose tissue, enhancing energy expenditure and metabolic health. Elevated Irisin levels are associated with improved cognitive function and mental well-being. BDNF, a neurotrophin, supports neuronal growth and cognitive function. Exercise-induced increases in BDNF levels are linked to enhanced neuroplasticity, reduced anxiety, and improved mood.
Conclusion
Understanding the role of Irisin and BDNF in response to physical exercise offers valuable insights for developing strategies to manage and prevent MS and its related mental health issues. Further research is needed to elucidate the molecular mechanisms involved.
{"title":"Effects of physical exercise on Irisin and BDNF concentrations, and their relationship with cardiometabolic and mental health of individuals with Metabolic Syndrome: A Systematic Review","authors":"Wilder Villamil-Parra , Luisa Moscoso-Loaiza","doi":"10.1016/j.exger.2024.112640","DOIUrl":"10.1016/j.exger.2024.112640","url":null,"abstract":"<div><div>Chronic Non-Communicable Diseases (NCDs), including cardiovascular diseases, cancer, chronic respiratory diseases, and diabetes, are the leading global causes of mortality, accounting for 71 % of deaths annually. Metabolic Syndrome (MS), characterized by hypertension, obesity, insulin resistance, and dyslipidemia, is a significant risk factor for NCDs. Physical inactivity exacerbates these conditions, contributing to poor cardiovascular and mental health outcomes.</div></div><div><h3>Objective</h3><div>To analyze the effects of physical exercise on Irisin and Brain-Derived Neurotrophic Factor (BDNF) concentrations and their relationship with cardiometabolic and mental health of individuals with MS.</div></div><div><h3>Methods</h3><div>A systematic review was conducted of articles published between August 2023 and June 2024 in ScienceDirect, PubMed, and SciELO, following PRISMA guidelines. Inclusion criteria encompassed observational studies, clinical trials, and reviews with high methodological quality. The review focused on Irisin, BDNF, physical exercise, and MS.</div></div><div><h3>Results</h3><div>A total of 584 articles were identified, with 43 selected for detailed analysis. The review highlights that physical exercise significantly impacts Irisin and BDNF levels, which in turn influence metabolic and mental health. Irisin, a myokine secreted during exercise, promotes the conversion of white adipose tissue to brown adipose tissue, enhancing energy expenditure and metabolic health. Elevated Irisin levels are associated with improved cognitive function and mental well-being. BDNF, a neurotrophin, supports neuronal growth and cognitive function. Exercise-induced increases in BDNF levels are linked to enhanced neuroplasticity, reduced anxiety, and improved mood.</div></div><div><h3>Conclusion</h3><div>Understanding the role of Irisin and BDNF in response to physical exercise offers valuable insights for developing strategies to manage and prevent MS and its related mental health issues. Further research is needed to elucidate the molecular mechanisms involved.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"198 ","pages":"Article 112640"},"PeriodicalIF":3.9,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142695828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-23DOI: 10.1016/j.exger.2024.112637
Mao Tso-Yen , Huang Chun-Feng , Lo Hong-Wa , Liu Ying-Fang , Hsu Wei-Hsun , Hwang Shinn-Jang
Aim
This study employed a three-minute game-based intelligence test (GBIT) to create a hemoglobin polynomial regression model for early identification of mild cognitive impairment (MCI) in older adults.
Methods
210 older adult participants were recruited from community centers in the central region of Taichung City. Working memory (WM) performance in older adults was assessed during GBIT, while hemoglobin responses were measured by near-infrared spectroscopy (NIRS). Variables included oxyhemoglobin (O2Hb) and deoxyhemoglobin (HHb). Data sequences underwent a fitting procedure using a transformed cubic polynomial function. The transformed coefficients were used as predictors of a logistic regression model to recognize MCI in older adults.
Results
This study confirmed the relationship between age and cognitive performance. The findings demonstrate that the NIRS cubic polynomial function trends during the GBIT test showed significant changes in older adults, increasing with age. Logistic regression analysis identified age and the orientation (coefficient a) of HHb as the main factors for recognizing MCI. The model achieved an overall precision of 83.33 % (sensitivity = 75.00 %; specificity = 84.68 %) with the formula: ln (Odds [MCI]) = −1.64 + 0.57 × HHb_a + 1.40 × age.
Conclusions
NIRS hemoglobin response characteristics during GBIT may serve as an efficient indicator of MCI in older adults. These findings may advance the field of cognitive health evaluation, resulting in earlier detection of cognitive deterioration in older adults.
{"title":"Recognition of mild cognitive impairment in older adults using a polynomial regression model based on prefrontal cortex hemoglobin oxygenation","authors":"Mao Tso-Yen , Huang Chun-Feng , Lo Hong-Wa , Liu Ying-Fang , Hsu Wei-Hsun , Hwang Shinn-Jang","doi":"10.1016/j.exger.2024.112637","DOIUrl":"10.1016/j.exger.2024.112637","url":null,"abstract":"<div><h3>Aim</h3><div>This study employed a three-minute game-based intelligence test (GBIT) to create a hemoglobin polynomial regression model for early identification of mild cognitive impairment (MCI) in older adults.</div></div><div><h3>Methods</h3><div>210 older adult participants were recruited from community centers in the central region of Taichung City. Working memory (WM) performance in older adults was assessed during GBIT, while hemoglobin responses were measured by near-infrared spectroscopy (NIRS). Variables included oxyhemoglobin (O<sub>2</sub>Hb) and deoxyhemoglobin (HHb). Data sequences underwent a fitting procedure using a transformed cubic polynomial function. The transformed coefficients were used as predictors of a logistic regression model to recognize MCI in older adults.</div></div><div><h3>Results</h3><div>This study confirmed the relationship between age and cognitive performance. The findings demonstrate that the NIRS cubic polynomial function trends during the GBIT test showed significant changes in older adults, increasing with age. Logistic regression analysis identified age and the orientation (coefficient <em>a</em>) of HHb as the main factors for recognizing MCI. The model achieved an overall precision of 83.33 % (sensitivity = 75.00 %; specificity = 84.68 %) with the formula: ln (Odds [<em>MCI</em>]) = −1.64 + 0.57 × <em>HHb_a</em> + 1.40 × <em>age</em>.</div></div><div><h3>Conclusions</h3><div>NIRS hemoglobin response characteristics during GBIT may serve as an efficient indicator of MCI in older adults. These findings may advance the field of cognitive health evaluation, resulting in earlier detection of cognitive deterioration in older adults.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"198 ","pages":"Article 112637"},"PeriodicalIF":3.9,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142694060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-23DOI: 10.1016/j.exger.2024.112638
Li Dingpeng , Bai Bihui , Xie Ruixuan , Yao Fei , Xie Xingwen , Lin Demin
Objective
This study investigates the distribution of osteoporosis (OP) and its associated comorbidities across different demographic factors. Furthermore, this study seeks to develop a statistically-based diagnostic model leveraging demographic and health indicators to provide personalized risk assessments for OP.
Methods
A retrospective analysis was conducted on the demographic data, health profiles, and bone density measurements of 2224 female patients. Key variables associated with OP were identified using chi-square tests. Feature selection was refined through Lasso regression and recursive feature elimination (RFE), which guided the development of a logistic regression-based dynamic nomogram. This model was subsequently implemented on the Shiny platform for personalized online OP risk assessments.
Results
Among 2224 female patients, 801 (36.0 %) were diagnosed with OP. Women aged 70 and older exhibited a significantly higher prevalence of OP compared to younger age groups (OR = 5.83, 95 % CI: 1.74–19.61, P = 0.004), and this remained significant in the multivariable analysis (OR = 5.18, 95 % CI: 1.19–22.52, P = 0.028). Later age at menarche was associated with increased OP risk (OR = 1.31, 95 % CI: 1.09–1.57, P = 0.004), persisting in multivariable analysis (OR = 1.25, 95 % CI: 1.03–1.52, P = 0.023). In rheumatoid arthritis (RA) patients, higher education reduced OP risk, with secondary education (OR = 0.09, P = 0.024) and college education (OR = 0.04, P = 0.009) showing protective effects. Diabetic patients who were unmarried or had non-traditional marital statuses showed increased OP risk (univariate OR = 2.73, P = 0.006; multivariate OR = 2.34, P = 0.029). Among nonalcoholic fatty liver disease (NAFLD) patients, age at menopause was significantly linked to OP risk (univariate OR = 1.04, P = 0.012). The prediction model showed strong performance (AUC = 0.720), and the dynamic nomogram on the Shiny platform provided effective personalized OP risk assessments.
Conclusion
Age and age at menarche are significant risk factors for OP, with later menarche increasing the risk. In RA patients, higher education levels were associated with a lower risk of OP. In contrast, unmarried or non-traditional marital statuses increased OP risk among diabetic patients. Additionally, age at menopause was found to be a significant factor for OP risk in NAFLD patients. The prediction model developed in this study, with an AUC of 0.720, provides a reliable method for personalized OP risk assessment through a dynamic nomogram. These findings highlight the crucial role of demographic factors in predicting OP risk and underscore the importance of personalized treatment strategies for effective OP prevention and management.
研究目的本研究调查了骨质疏松症（OP）及其相关合并症在不同人口因素中的分布情况。此外，本研究还试图开发一种基于统计学的诊断模型，利用人口统计学和健康指标提供个性化的骨质疏松症风险评估：方法：对 2224 名女性患者的人口统计学数据、健康状况和骨密度测量结果进行了回顾性分析。通过卡方检验确定了与 OP 相关的关键变量。通过拉索回归和递归特征剔除（RFE）对特征选择进行了改进，从而指导开发了基于逻辑回归的动态提名图。该模型随后在 Shiny 平台上实施，用于个性化在线 OP 风险评估：在 2224 名女性患者中，有 801 人（36.0%）被确诊为 OP。与年轻群体相比，70 岁及以上女性的 OP 患病率明显更高（OR = 5.83，95 % CI：1.74-19.61，P = 0.004），而且在多变量分析中仍有显著意义（OR = 5.18，95 % CI：1.19-22.52，P = 0.028）。月经初潮年龄较晚与 OP 风险增加有关（OR = 1.31，95 % CI：1.09-1.57，P = 0.004），在多变量分析中依然如此（OR = 1.25，95 % CI：1.03-1.52，P = 0.023）。在类风湿性关节炎（RA）患者中，较高的教育程度可降低 OP 风险，中等教育程度（OR = 0.09，P = 0.024）和大学教育程度（OR = 0.04，P = 0.009）具有保护作用。未婚或非传统婚姻状况的糖尿病患者 OP 风险增加（单变量 OR = 2.73，P = 0.006；多变量 OR = 2.34，P = 0.029）。在非酒精性脂肪肝（NAFLD）患者中，绝经年龄与 OP 风险显著相关（单变量 OR = 1.04，P = 0.012）。预测模型显示出很强的性能（AUC = 0.720），Shiny 平台上的动态提名图提供了有效的个性化 OP 风险评估：结论：年龄和初潮年龄是 OP 的重要风险因素，初潮年龄越晚，风险越高。在 RA 患者中，受教育程度越高，罹患 OP 的风险越低。相反，未婚或非传统婚姻状况会增加糖尿病患者的 OP 风险。此外，在非酒精性脂肪肝患者中，绝经年龄也是影响 OP 风险的一个重要因素。本研究建立的预测模型的AUC为0.720，为通过动态提名图进行个性化OP风险评估提供了一种可靠的方法。这些发现凸显了人口统计学因素在预测 OP 风险中的关键作用，并强调了个性化治疗策略对有效预防和管理 OP 的重要性。
{"title":"Distribution and diagnostic modeling of osteoporosis and comorbidities across demographic factors: A cross-sectional study of 2224 female patients","authors":"Li Dingpeng , Bai Bihui , Xie Ruixuan , Yao Fei , Xie Xingwen , Lin Demin","doi":"10.1016/j.exger.2024.112638","DOIUrl":"10.1016/j.exger.2024.112638","url":null,"abstract":"<div><h3>Objective</h3><div>This study investigates the distribution of osteoporosis (OP) and its associated comorbidities across different demographic factors. Furthermore, this study seeks to develop a statistically-based diagnostic model leveraging demographic and health indicators to provide personalized risk assessments for OP.</div></div><div><h3>Methods</h3><div>A retrospective analysis was conducted on the demographic data, health profiles, and bone density measurements of 2224 female patients. Key variables associated with OP were identified using chi-square tests. Feature selection was refined through Lasso regression and recursive feature elimination (RFE), which guided the development of a logistic regression-based dynamic nomogram. This model was subsequently implemented on the Shiny platform for personalized online OP risk assessments.</div></div><div><h3>Results</h3><div>Among 2224 female patients, 801 (36.0 %) were diagnosed with OP. Women aged 70 and older exhibited a significantly higher prevalence of OP compared to younger age groups (OR = 5.83, 95 % CI: 1.74–19.61, <em>P</em> = 0.004), and this remained significant in the multivariable analysis (OR = 5.18, 95 % CI: 1.19–22.52, <em>P</em> = 0.028). Later age at menarche was associated with increased OP risk (OR = 1.31, 95 % CI: 1.09–1.57, <em>P</em> = 0.004), persisting in multivariable analysis (OR = 1.25, 95 % CI: 1.03–1.52, <em>P</em> = 0.023). In rheumatoid arthritis (RA) patients, higher education reduced OP risk, with secondary education (OR = 0.09, <em>P</em> = 0.024) and college education (OR = 0.04, <em>P</em> = 0.009) showing protective effects. Diabetic patients who were unmarried or had non-traditional marital statuses showed increased OP risk (univariate OR = 2.73, <em>P</em> = 0.006; multivariate OR = 2.34, <em>P</em> = 0.029). Among nonalcoholic fatty liver disease (NAFLD) patients, age at menopause was significantly linked to OP risk (univariate OR = 1.04, <em>P</em> = 0.012). The prediction model showed strong performance (AUC = 0.720), and the dynamic nomogram on the Shiny platform provided effective personalized OP risk assessments.</div></div><div><h3>Conclusion</h3><div>Age and age at menarche are significant risk factors for OP, with later menarche increasing the risk. In RA patients, higher education levels were associated with a lower risk of OP. In contrast, unmarried or non-traditional marital statuses increased OP risk among diabetic patients. Additionally, age at menopause was found to be a significant factor for OP risk in NAFLD patients. The prediction model developed in this study, with an AUC of 0.720, provides a reliable method for personalized OP risk assessment through a dynamic nomogram. These findings highlight the crucial role of demographic factors in predicting OP risk and underscore the importance of personalized treatment strategies for effective OP prevention and management.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"198 ","pages":"Article 112638"},"PeriodicalIF":3.9,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-21DOI: 10.1016/j.exger.2024.112635
Fang-Fei You , Wen-Fang Zhong , Yi-Ning Gao , Dong Shen , Zhi-Hao Li , Jiao-Jiao Ren , Jian Gao , Xiao-Meng Wang , Wei-Qi Song , Chuan Li , Huan Chen , Jia-Hao Xie , Hao-Yu Yan , Chen Mao
Aims
To investigate the effect of optimal diastolic blood pressure (DBP) level on cardiovascular disease (CVD) events, considering different age groups. And the nonlinear relationship between DBP and CVD events by age were evaluated.
Methods
358,734 participants of the UK biobank were included. Multivariable Cox regressions were performed to evaluate the relation between DBP and cardiovascular risk, and the natural cubic spline was applied to estimate the nonlinear relationship between the DBP measures and the hazard.
Results
In the UK Biobank, a total of 358,734 participants (mean [SD] age, 55.3 [8.1] years; 205,215 [57.2 %] female) were included in this analysis. The rate of CVD cases was 6.05 per 1000 person-years. For each SD increase, DBP was associated with elevated CVD events for both <50 year (HR, 1.19; 95 % CI, 1.12 to 1.26) and 50–59 year-old group (HR, 1.04; 95 % CI, 1.01 to 1.08). However, for every SD increment, a marginal protective effect against CVD events was observed between DBP and the CVD events in elder people (≥60 years old) and lower DBP (<70 mm Hg) may confer an increased CVD risks (HR, 1.10; 95 % CI, 1.03 to 1.17).
Conclusions
For adults younger than 60 years old, the study seems to support the ACC/AHA blood pressure guidelines lowering the DBP threshold to 80 mm Hg. Conversely, it may be reasonable to rule out large effects of high DBP on CVD events and DBP <70 mm Hg may be cause for caution in older people aged 60–69.
{"title":"Age-specific in the relationship between diastolic blood pressure and the risk of cardiovascular disease: A cohort study of the UK Biobank","authors":"Fang-Fei You , Wen-Fang Zhong , Yi-Ning Gao , Dong Shen , Zhi-Hao Li , Jiao-Jiao Ren , Jian Gao , Xiao-Meng Wang , Wei-Qi Song , Chuan Li , Huan Chen , Jia-Hao Xie , Hao-Yu Yan , Chen Mao","doi":"10.1016/j.exger.2024.112635","DOIUrl":"10.1016/j.exger.2024.112635","url":null,"abstract":"<div><h3>Aims</h3><div>To investigate the effect of optimal diastolic blood pressure (DBP) level on cardiovascular disease (CVD) events, considering different age groups. And the nonlinear relationship between DBP and CVD events by age were evaluated.</div></div><div><h3>Methods</h3><div>358,734 participants of the UK biobank were included. Multivariable Cox regressions were performed to evaluate the relation between DBP and cardiovascular risk, and the natural cubic spline was applied to estimate the nonlinear relationship between the DBP measures and the hazard.</div></div><div><h3>Results</h3><div>In the UK Biobank, a total of 358,734 participants (mean [SD] age, 55.3 [8.1] years; 205,215 [57.2 %] female) were included in this analysis. The rate of CVD cases was 6.05 per 1000 person-years. For each SD increase, DBP was associated with elevated CVD events for both <50 year (HR, 1.19; 95 % CI, 1.12 to 1.26) and 50–59 year-old group (HR, 1.04; 95 % CI, 1.01 to 1.08). However, for every SD increment, a marginal protective effect against CVD events was observed between DBP and the CVD events in elder people (≥60 years old) and lower DBP (<70 mm Hg) may confer an increased CVD risks (HR, 1.10; 95 % CI, 1.03 to 1.17).</div></div><div><h3>Conclusions</h3><div>For adults younger than 60 years old, the study seems to support the ACC/AHA blood pressure guidelines lowering the DBP threshold to 80 mm Hg. Conversely, it may be reasonable to rule out large effects of high DBP on CVD events and DBP <70 mm Hg may be cause for caution in older people aged 60–69.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"198 ","pages":"Article 112635"},"PeriodicalIF":3.9,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-20DOI: 10.1016/j.exger.2024.112630
Heidi M. Johnson, Nicole C. Riddle
Exercise is a common strategy for disease prevention or management, including for diabetes and cardiac dysfunction. However, exercise response varies immensely between individuals, and in humans, the same exercise treatment can lead both to positive and negative responses. Drosophila melanogaster is an established model for exercise research that can be leveraged to understand this variation in exercise response. Here, we investigated how two early life exercise treatments differing in duration (5 and 20 days) impact the animals' health- and lifespan in four genotypes. Specifically, we measured lifespan, activity level, body condition, physical ability, and reproductive output in this exploratory study to gain insights into potential trade-offs. For most measures, we found both immediate and long-term effects, with some effects persisting weeks past the cessation of exercise. The effect of the exercise treatment was context-dependent, with treatment, sex, and genotype interactions determining phenotypes. For example, the 20-day treatment did not exhibit a consistently larger effect than the 5-day treatment. Similarly, neither the 5-day nor the 20-day treatment impacted lifespan, but two specific genotype/sex combinations showed altered lifespan after exercise. The 20-day treatment decreased climbing performance compared to controls up to several weeks after treatment ended in some genotypes. Together, our results highlight the complex, interacting factors controlling exercise response and demonstrate that early life exercise can have long-lasting effects in the Drosophila exercise model even though most individual groups show no response.
{"title":"Early life exercise impacts physiology and lifespan in a sex- and genotype-dependent manner in a Drosophila melanogaster exercise model","authors":"Heidi M. Johnson, Nicole C. Riddle","doi":"10.1016/j.exger.2024.112630","DOIUrl":"10.1016/j.exger.2024.112630","url":null,"abstract":"<div><div>Exercise is a common strategy for disease prevention or management, including for diabetes and cardiac dysfunction. However, exercise response varies immensely between individuals, and in humans, the same exercise treatment can lead both to positive and negative responses. <em>Drosophila melanogaster</em> is an established model for exercise research that can be leveraged to understand this variation in exercise response. Here, we investigated how two early life exercise treatments differing in duration (5 and 20 days) impact the animals' health- and lifespan in four genotypes. Specifically, we measured lifespan, activity level, body condition, physical ability, and reproductive output in this exploratory study to gain insights into potential trade-offs. For most measures, we found both immediate and long-term effects, with some effects persisting weeks past the cessation of exercise. The effect of the exercise treatment was context-dependent, with treatment, sex, and genotype interactions determining phenotypes. For example, the 20-day treatment did not exhibit a consistently larger effect than the 5-day treatment. Similarly, neither the 5-day nor the 20-day treatment impacted lifespan, but two specific genotype/sex combinations showed altered lifespan after exercise. The 20-day treatment decreased climbing performance compared to controls up to several weeks after treatment ended in some genotypes. Together, our results highlight the complex, interacting factors controlling exercise response and demonstrate that early life exercise can have long-lasting effects in the Drosophila exercise model even though most individual groups show no response.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"198 ","pages":"Article 112630"},"PeriodicalIF":3.9,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142650427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1016/j.exger.2024.112633
Junqi Yang , Yumin Ma , Jiang Liu , Qingtian Zhu , Rui Zhou , Chenchen Yuan , Yanbing Ding , Weiming Xiao , Weijuan Gong , Qing Shan , Guotao Lu , Hongwei Xu
The aging of pancreatic beta cells is closely associated with various diseases, such as impaired glucose tolerance, yet the underlying regulatory mechanisms remain unclear. In this study, we screened young and aged mouse pancreatic beta cells' high-throughput sequencing data from the GEO public database. Utilizing bioinformatics techniques, we identified the key regulatory factor YY1 in the aging process of pancreatic islets. We observed a significant decrease in the expression of YY1 in a D-gal-induced mouse model of pancreatic aging and an H2O2-induced MIN6 cell model of aging. Moreover, both vivo and vitro models, we found that the YY1 agonist eudesmin (EDN) improved glucose intolerance in mice, alleviated aging of pancreatic beta cells, and downregulated the expression of cell cycle protein P21. Mechanistically, we discovered that EDN inhibited the P38/JNK MAPK pathway in aging cells. In summary, our study confirms the regulatory role of the transcription factor YY1 in the aging process of pancreatic beta cells. This finding may provide a new approach for the clinical treatment of pancreatic aging-related diseases such as impaired glucose tolerance or diabetes.
{"title":"Identifying and validating the key regulatory transcription factor YY1 in the aging process of pancreatic beta cells based on bioinformatics","authors":"Junqi Yang , Yumin Ma , Jiang Liu , Qingtian Zhu , Rui Zhou , Chenchen Yuan , Yanbing Ding , Weiming Xiao , Weijuan Gong , Qing Shan , Guotao Lu , Hongwei Xu","doi":"10.1016/j.exger.2024.112633","DOIUrl":"10.1016/j.exger.2024.112633","url":null,"abstract":"<div><div>The aging of pancreatic beta cells is closely associated with various diseases, such as impaired glucose tolerance, yet the underlying regulatory mechanisms remain unclear. In this study, we screened young and aged mouse pancreatic beta cells' high-throughput sequencing data from the GEO public database. Utilizing bioinformatics techniques, we identified the key regulatory factor YY1 in the aging process of pancreatic islets. We observed a significant decrease in the expression of YY1 in a D-gal-induced mouse model of pancreatic aging and an H<sub>2</sub>O<sub>2</sub>-induced MIN6 cell model of aging. Moreover, both vivo and vitro models, we found that the YY1 agonist eudesmin (EDN) improved glucose intolerance in mice, alleviated aging of pancreatic beta cells, and downregulated the expression of cell cycle protein P21. Mechanistically, we discovered that EDN inhibited the P38/JNK MAPK pathway in aging cells. In summary, our study confirms the regulatory role of the transcription factor YY1 in the aging process of pancreatic beta cells. This finding may provide a new approach for the clinical treatment of pancreatic aging-related diseases such as impaired glucose tolerance or diabetes.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"198 ","pages":"Article 112633"},"PeriodicalIF":3.9,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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