Pub Date : 2026-01-18DOI: 10.1016/j.exger.2026.113038
Yu-Chiang Yeh
Background/aim
Degenerative spondylolisthesis (DS) is a spinal disorder prevalent in older adults, often requiring lumbar fusion surgery. Despite the benefits of surgery, older adult patients face an increased risk of complications and readmission. This study aimed to identify risk factors for 90-day readmission following single-level lumbar fusion for DS in older adult patients.
Methods
This retrospective cohort study included the data of patients aged ≥60 years who had undergone single-level lumbar fusion for DS extracted from the National Readmission Database (NRD) from 2016 to 2020. Multivariable logistic regression with backward selection was used to identify factors associated with 90-day readmission.
Results
Data of 32,894 older adult patients were analyzed (mean age 70 years, 65% female.) Significant predictors of readmission were age (adjusted odds ratio [aOR] = 1.02, 95% confidence interval [CI]: 1.01–1.03), having Medicare/Medicaid insurance (aOR = 1.35, 95% CI: 1.19–1.54), myocardial infarction (aOR = 1.41, 95% CI: 1.16–1.72), venous thromboembolism (aOR = 2.39, 95% CI: 1.44–3.98), bleeding (aOR = 2.63, 95% CI: 1.08–6.40), and longer hospital stay (aOR = 1.04, 95% CI: 1.03–1.06). Stratified by age ≥70 years, several different risk factors were identified between the age groups.
Conclusion
Risk factors influencing 90-day readmission following single-level lumbar fusion in older adults with DS include age, comorbidities, perioperative complications, insurance type, and hospital length of stay (LOS). Patient-centered (or customized) perioperative strategies and postoperative care may ultimately help to reduce readmission rates in this population.
{"title":"Risk factors for 90-day readmission after single-level lumbar fusion for degenerative spondylolisthesis in older adults: A National Readmission Database Analysis, 2016–2020","authors":"Yu-Chiang Yeh","doi":"10.1016/j.exger.2026.113038","DOIUrl":"10.1016/j.exger.2026.113038","url":null,"abstract":"<div><h3>Background/aim</h3><div>Degenerative spondylolisthesis (DS) is a spinal disorder prevalent in older adults, often requiring lumbar fusion surgery. Despite the benefits of surgery, older adult patients face an increased risk of complications and readmission. This study aimed to identify risk factors for 90-day readmission following single-level lumbar fusion for DS in older adult patients.</div></div><div><h3>Methods</h3><div>This retrospective cohort study included the data of patients aged ≥60 years who had undergone single-level lumbar fusion for DS extracted from the National Readmission Database (NRD) from 2016 to 2020. Multivariable logistic regression with backward selection was used to identify factors associated with 90-day readmission.</div></div><div><h3>Results</h3><div>Data of 32,894 older adult patients were analyzed (mean age 70 years, 65% female.) Significant predictors of readmission were age (adjusted odds ratio [aOR] = 1.02, 95% confidence interval [CI]: 1.01–1.03), having Medicare/Medicaid insurance (aOR = 1.35, 95% CI: 1.19–1.54), myocardial infarction (aOR = 1.41, 95% CI: 1.16–1.72), venous thromboembolism (aOR = 2.39, 95% CI: 1.44–3.98), bleeding (aOR = 2.63, 95% CI: 1.08–6.40), and longer hospital stay (aOR = 1.04, 95% CI: 1.03–1.06). Stratified by age ≥70 years, several different risk factors were identified between the age groups.</div></div><div><h3>Conclusion</h3><div>Risk factors influencing 90-day readmission following single-level lumbar fusion in older adults with DS include age, comorbidities, perioperative complications, insurance type, and hospital length of stay (LOS). Patient-centered (or customized) perioperative strategies and postoperative care may ultimately help to reduce readmission rates in this population.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"214 ","pages":"Article 113038"},"PeriodicalIF":4.3,"publicationDate":"2026-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-16DOI: 10.1016/j.exger.2026.113042
Nadjia Amini , Laurence Lapauw , Jolan Dupont , Laura Vercauteren , Sebastiaan Dalle , Katrien Koppo , Sabine Verschueren , Jos Tournoy , Evelien Gielen
Background
Studies have shown that sarcopenia and its related parameters are associated with cognition. Preclinical evidence suggests that myokines, such as irisin, Brain-Derived Neurotrophic Factor(BDNF), myostatin and Insulin-like Growth Factor-1(IGF-1) might explain this relationship. This study aimed to explore the associations between sarcopenia-related parameters and cognition, and whether myokines influence this association.
Methods
Exploratory, cross-sectional analysis of data from the Exercise and Nutrition for Healthy AgeiNg (ENHANce,NCT03649698) study. Participants were older adults(≥65 years) with EWGSOP2-defined sarcopenia. Cognitive functioning was assessed by Mini-Mental State Examination(MMSE), Repeatable Battery for the Assessment of Neuropsychological Status(RBANS), Trail Making Test A&B(TMT), Stroop and Maze Test. Sarcopenia-related parameters were measured: Handgrip Strength, Chair Stand Test, appendicular Lean Mass(aLM), Gait Speed (GS) and Short Physical Performance Battery(SPPB). Serum myokines(IGF-1, irisin, myostatin, BDNF) were determined through ELISA. Associations between cognition and sarcopenia-related parameters were analyzed using multivariable regression, adjusting for potential confounders including myokines.
Results
Fifty-eight participants were included in this analysis (76.2 ± 6.7 years, ♀:65.5%). After adjustment for age, sex, body mass index, aLM was associated with MMSE(β = 0.193,p = 0.012), RBANS Total(β = 0.196,p = 0.007) and RBANS Attention(β = 0.215,p = 0.002), CST was associated with RBANS Language(β = −0.314,p = 0.030), SPPB was associated with Maze time(β = −0.364,p = 0.004) and TMT-B (β = −0.333,p = 0.013) and GS was associated with TMT-A(β = −0.324,p = 0.045). After adjustments for BDNF& IGF-1, the association between GS and TMT-A became non-significant. Irisin and myostatin did not influence the sarcopenia-cognition associations.
Conclusion
Sarcopenia-related parameters are associated with global and specific cognitive domains. BDNF may, partially, explain the association between muscle mass and MMSE. Additional research with larger sample size is needed to confirm these findings.
{"title":"Do myokines influence the associations between sarcopenia-related parameters and cognitive function in community-dwelling older adults: exploratory results from the ENHANce study","authors":"Nadjia Amini , Laurence Lapauw , Jolan Dupont , Laura Vercauteren , Sebastiaan Dalle , Katrien Koppo , Sabine Verschueren , Jos Tournoy , Evelien Gielen","doi":"10.1016/j.exger.2026.113042","DOIUrl":"10.1016/j.exger.2026.113042","url":null,"abstract":"<div><h3>Background</h3><div>Studies have shown that sarcopenia and its related parameters are associated with cognition. Preclinical evidence suggests that myokines, such as irisin, Brain-Derived Neurotrophic Factor(BDNF), myostatin and Insulin-like Growth Factor-1(IGF-1) might explain this relationship. This study aimed to explore the associations between sarcopenia-related parameters and cognition, and whether myokines influence this association.</div></div><div><h3>Methods</h3><div>Exploratory, cross-sectional analysis of data from the Exercise and Nutrition for Healthy AgeiNg (ENHANce,<span><span>NCT03649698</span><svg><path></path></svg></span>) study. Participants were older adults(≥65 years) with EWGSOP2-defined sarcopenia. Cognitive functioning was assessed by Mini-Mental State Examination(MMSE), Repeatable Battery for the Assessment of Neuropsychological Status(RBANS), Trail Making Test A&B(TMT), Stroop and Maze Test. Sarcopenia-related parameters were measured: Handgrip Strength, Chair Stand Test, appendicular Lean Mass(aLM), Gait Speed (GS) and Short Physical Performance Battery(SPPB). Serum myokines(IGF-1, irisin, myostatin, BDNF) were determined through ELISA. Associations between cognition and sarcopenia-related parameters were analyzed using multivariable regression, adjusting for potential confounders including myokines.</div></div><div><h3>Results</h3><div>Fifty-eight participants were included in this analysis (76.2 ± 6.7 years, ♀:65.5%). After adjustment for age, sex, body mass index, aLM was associated with MMSE(β = 0.193,<em>p</em> = 0.012), RBANS Total(β = 0.196,<em>p</em> = 0.007) and RBANS Attention(β = 0.215,<em>p</em> = 0.002), CST was associated with RBANS Language(β = −0.314,<em>p</em> = 0.030), SPPB was associated with Maze time(β = −0.364,<em>p</em> = 0.004) and TMT-B (β = −0.333,<em>p</em> = 0.013) and GS was associated with TMT-A(β = −0.324,<em>p</em> = 0.045). After adjustments for BDNF& IGF-1, the association between GS and TMT-A became non-significant. Irisin and myostatin did not influence the sarcopenia-cognition associations.</div></div><div><h3>Conclusion</h3><div>Sarcopenia-related parameters are associated with global and specific cognitive domains. BDNF may, partially, explain the association between muscle mass and MMSE. Additional research with larger sample size is needed to confirm these findings.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"214 ","pages":"Article 113042"},"PeriodicalIF":4.3,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146000199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-15DOI: 10.1016/j.exger.2026.113039
Jie Mao , Zhiyi Zhou , Yuting Xu , Hangbo Qu , Bo Ma , Yihua Yu
Heart failure (HF) remains a global health challenge with limited efficacious therapies, necessitating novel strategies targeting its underlying pathological mechanisms. Emerging evidence implicates dysregulated iron metabolism and ferroptosis-an iron-dependent form of regulated cell death-as critical drivers of cardiomyocyte attrition in heart failure pathogenesis. This study investigates the therapeutic potential of idebenone (IDE), a clinically approved mitochondrial-targeted antioxidant and short-chain analog of coenzyme Q10, in modulating ferroptosis-mediated cardiac dysfunction. We confirmed that idebenone significantly attenuated pathological markers of cardiac stress, reducing expression of atrial natriuretic peptide (ANP) and brain natriuretic peptide (BNP) in cardiomyocytes. Furthermore, idebenone treatment suppressed lipid peroxidation and mitochondrial iron overload. In the HF animal model, idebenone administration improved left ventricular ejection fraction, restored redox homeostasis and reduced cardiac iron deposition. These findings establish idebenone as a promising strategy to mitigate ferroptosis-driven myocardial injury, providing a translational framework for developing idebenone-based therapies for heart failure management.
{"title":"Idebenone protects against doxorubicin-induced cardiac injury by inhibiting ferroptosis in cardiomyocytes","authors":"Jie Mao , Zhiyi Zhou , Yuting Xu , Hangbo Qu , Bo Ma , Yihua Yu","doi":"10.1016/j.exger.2026.113039","DOIUrl":"10.1016/j.exger.2026.113039","url":null,"abstract":"<div><div>Heart failure (HF) remains a global health challenge with limited efficacious therapies, necessitating novel strategies targeting its underlying pathological mechanisms. Emerging evidence implicates dysregulated iron metabolism and ferroptosis-an iron-dependent form of regulated cell death-as critical drivers of cardiomyocyte attrition in heart failure pathogenesis. This study investigates the therapeutic potential of idebenone (IDE), a clinically approved mitochondrial-targeted antioxidant and short-chain analog of coenzyme Q10, in modulating ferroptosis-mediated cardiac dysfunction. We confirmed that idebenone significantly attenuated pathological markers of cardiac stress, reducing expression of atrial natriuretic peptide (ANP) and brain natriuretic peptide (BNP) in cardiomyocytes. Furthermore, idebenone treatment suppressed lipid peroxidation and mitochondrial iron overload. In the HF animal model, idebenone administration improved left ventricular ejection fraction, restored redox homeostasis and reduced cardiac iron deposition. These findings establish idebenone as a promising strategy to mitigate ferroptosis-driven myocardial injury, providing a translational framework for developing idebenone-based therapies for heart failure management.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"214 ","pages":"Article 113039"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145994638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-14DOI: 10.1016/j.exger.2026.113036
Chunfeng Sun , Ping Qiu , Shuo Huang , Qihan Luo , Qing Ma , Piao Hu , Fangming Chen , Hongyan Wu , Chunxiao Chen
Aims
This study aims to systematically review existing literature to evaluate the association between telomere length (TL) and the risk of MASLD and its progression outcomes.
Materials and methods
PubMed, EMBASE, and Web of Science were searched for relevant studies up to May 27, 2025. Included studies were systematically reviewed to summarize the findings, with complementary quantitative analyses conducted using a random-effects model. This study was conducted in strict accordance with the PRISMA 2020 statement and was registered on the PROSPERO platform (CRD420251042478).
Results
Ultimately, 12 observational studies met the inclusion criteria. A limited number of high-quality cohort studies have consistently observed an association between shorter leukocyte TL (LTL) and an increased risk of MASLD. Evidence from cross-sectional studies appears more inconsistent and imprecise. Notably, cross-sectional analysis revealed a paradoxical increase in LTL among T2DM patients with MASLD, possibly reflecting a compensatory response to early-stage metabolic stress and insulin resistance; however, longitudinal evidence clarified that accelerated LTL attrition, rather than baseline length, serves as the critical driver and predictor of MASLD incidence. Despite consistent evidence indicating that shorter LTL may serve as a biomarker for severe MASLD progression, the interpretation of these findings is hampered by methodological limitations in current studies.
Conclusion
Current evidence suggests that shorter TL is a potential marker for MASLD risk, particularly supported by high-quality longitudinal data. While further quantitative analysis identified significant associations, the robustness of these results is compromised by the limited number of high-quality studies, alongside substantial heterogeneity and publication bias. Shorter TL may be associated with the adverse progression of MASLD. Future high-quality longitudinal studies are warranted to strengthen the body of evidence and establish their clinical utility.
本研究旨在系统地回顾现有文献,以评估端粒长度(TL)与MASLD风险及其进展结局之间的关系。检索截止到2025年5月27日的spubmed、EMBASE和Web of Science相关研究。系统回顾纳入的研究以总结研究结果,并使用随机效应模型进行补充性定量分析。本研究严格按照PRISMA 2020声明进行,并在PROSPERO平台上注册(CRD420251042478)。结果最终有12项观察性研究符合纳入标准。数量有限的高质量队列研究一致地观察到较短的白细胞TL (LTL)与MASLD风险增加之间的关联。来自横断面研究的证据似乎更不一致和不精确。值得注意的是,横断面分析揭示了T2DM合并MASLD患者LTL的矛盾增加,可能反映了对早期代谢应激和胰岛素抵抗的代偿反应;然而,纵向证据表明,加速LTL磨损,而不是基线长度,是MASLD发病率的关键驱动因素和预测因素。尽管一致的证据表明较短的LTL可能作为严重MASLD进展的生物标志物,但这些发现的解释受到当前研究方法限制的阻碍。结论:目前的证据表明,较短的TL是MASLD风险的潜在标志,特别是高质量的纵向数据支持。虽然进一步的定量分析确定了显著的关联,但这些结果的稳健性受到高质量研究数量有限、异质性和发表偏倚的影响。较短的生存期可能与MASLD的不良进展有关。未来有必要进行高质量的纵向研究,以加强证据体系并建立其临床应用。
{"title":"Telomere length and metabolic dysfunction-associated steatotic liver disease risk and progression: A systematic review and meta-analysis","authors":"Chunfeng Sun , Ping Qiu , Shuo Huang , Qihan Luo , Qing Ma , Piao Hu , Fangming Chen , Hongyan Wu , Chunxiao Chen","doi":"10.1016/j.exger.2026.113036","DOIUrl":"10.1016/j.exger.2026.113036","url":null,"abstract":"<div><h3>Aims</h3><div>This study aims to systematically review existing literature to evaluate the association between telomere length (TL) and the risk of MASLD and its progression outcomes.</div></div><div><h3>Materials and methods</h3><div>PubMed, EMBASE, and Web of Science were searched for relevant studies up to May 27, 2025. Included studies were systematically reviewed to summarize the findings, with complementary quantitative analyses conducted using a random-effects model. This study was conducted in strict accordance with the PRISMA 2020 statement and was registered on the PROSPERO platform (CRD420251042478).</div></div><div><h3>Results</h3><div>Ultimately, 12 observational studies met the inclusion criteria. A limited number of high-quality cohort studies have consistently observed an association between shorter leukocyte TL (LTL) and an increased risk of MASLD. Evidence from cross-sectional studies appears more inconsistent and imprecise. Notably, cross-sectional analysis revealed a paradoxical increase in LTL among T2DM patients with MASLD, possibly reflecting a compensatory response to early-stage metabolic stress and insulin resistance; however, longitudinal evidence clarified that accelerated LTL attrition, rather than baseline length, serves as the critical driver and predictor of MASLD incidence. Despite consistent evidence indicating that shorter LTL may serve as a biomarker for severe MASLD progression, the interpretation of these findings is hampered by methodological limitations in current studies.</div></div><div><h3>Conclusion</h3><div>Current evidence suggests that shorter TL is a potential marker for MASLD risk, particularly supported by high-quality longitudinal data. While further quantitative analysis identified significant associations, the robustness of these results is compromised by the limited number of high-quality studies, alongside substantial heterogeneity and publication bias. Shorter TL may be associated with the adverse progression of MASLD. Future high-quality longitudinal studies are warranted to strengthen the body of evidence and establish their clinical utility.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"214 ","pages":"Article 113036"},"PeriodicalIF":4.3,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-14DOI: 10.1016/j.exger.2026.113037
Katarzyna Zadka , Krzysztof Ławiński , Natalia Grodzicka , Atanas G. Atanasov , Michał Ławiński
Objective
Accurate estimation of resting energy expenditure (REE) in long-term care facilities (LTCFs) is challenging, and indirect calorimetry (IC) is seldom available. This cross-sectional study assessed the agreement between predictive equations and IC in older adults residing in LTCFs.
Research methods & procedures
REE was measured by IC and compared with estimates from 22 predictive equations. Agreement was evaluated using linear regression (R2), root mean square error (RMSE), Bland–Altman analysis, individual-level accuracy (90–110% of measured REE), mean percentage bias (%Bias), Lin's concordance correlation coefficient (CCC), and extreme prediction errors.
Results
A total of 182 residents were enrolled (72% women; mean age 81.24 ± 9.21 years; BMI 23.05 ± 5.11 kg/m2). Across equations, R2 ranged from 0.24 to 0.41, RMSE from 230 to 317 kcal/d, and individual accuracy from 27% to 45%. Mean percentage bias ranged from –6% to +18%, indicating systematic under- and overestimation across models. The most consistent overall performance was observed for Lührmann, Müller, and Liu equations. Nonetheless, Bland–Altman analysis revealed wide limits of agreement, and CCC values indicating poor-to-moderate concordance (0.465–0.624). Several equations also produced extreme errors, demonstrating limited interchangeability with IC at the individual level.
Conclusion(s)
In people living in LTCFs, predictive equations showed modest explanatory power and low individual accuracy, with wide limits of agreement indicating that none can reliably replace IC when precise estimation of REE is required. Clinically, predicted REE should be regarded as an estimate rather than a dose, requiring cautious adjustment and verification against short-term monitoring of body weight, intake, and clinical status. When precise energy dosing is critical, IC should be used whenever feasible.
{"title":"Comparing predictive energy-expenditure equations with indirect calorimetry in older adults living in long-term care facilities","authors":"Katarzyna Zadka , Krzysztof Ławiński , Natalia Grodzicka , Atanas G. Atanasov , Michał Ławiński","doi":"10.1016/j.exger.2026.113037","DOIUrl":"10.1016/j.exger.2026.113037","url":null,"abstract":"<div><h3>Objective</h3><div>Accurate estimation of resting energy expenditure (REE) in long-term care facilities (LTCFs) is challenging, and indirect calorimetry (IC) is seldom available. This cross-sectional study assessed the agreement between predictive equations and IC in older adults residing in LTCFs.</div></div><div><h3>Research methods & procedures</h3><div>REE was measured by IC and compared with estimates from 22 predictive equations. Agreement was evaluated using linear regression (R<sup>2</sup>), root mean square error (RMSE), Bland–Altman analysis, individual-level accuracy (90–110% of measured REE), mean percentage bias (%Bias), Lin's concordance correlation coefficient (CCC), and extreme prediction errors.</div></div><div><h3>Results</h3><div>A total of 182 residents were enrolled (72% women; mean age 81.24 ± 9.21 years; BMI 23.05 ± 5.11 kg/m<sup>2</sup>). Across equations, R<sup>2</sup> ranged from 0.24 to 0.41, RMSE from 230 to 317 kcal/d, and individual accuracy from 27% to 45%. Mean percentage bias ranged from –6% to +18%, indicating systematic under- and overestimation across models. The most consistent overall performance was observed for Lührmann, Müller, and Liu equations. Nonetheless, Bland–Altman analysis revealed wide limits of agreement, and CCC values indicating poor-to-moderate concordance (0.465–0.624). Several equations also produced extreme errors, demonstrating limited interchangeability with IC at the individual level.</div></div><div><h3>Conclusion(s)</h3><div>In people living in LTCFs, predictive equations showed modest explanatory power and low individual accuracy, with wide limits of agreement indicating that none can reliably replace IC when precise estimation of REE is required. Clinically, predicted REE should be regarded as an estimate rather than a dose, requiring cautious adjustment and verification against short-term monitoring of body weight, intake, and clinical status. When precise energy dosing is critical, IC should be used whenever feasible.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"214 ","pages":"Article 113037"},"PeriodicalIF":4.3,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145992354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.exger.2026.113033
Yan Lv , Yongjun Du , Peng Lin , Jiamian Liu , Shaoquan Pu , Sheng Lu
Background
Osteoporosis and sarcopenia are age-related degenerative diseases that frequently co-occur in the older adults, yet their shared molecular mechanisms remain poorly understood. This study aimed to identify common biomarkers.
Methods
By utilizing the GEO database, differential and enrichment analyses were conducted to identify genes that are commonly expressed in both diseases. Subsequently, key genes were identified through four types of machine learning and six types of immune infiltration analyses. Finally, the Dual Condition Sarcopenia and Osteoporosis (DSO) model was established by combining bilateral ovariectomy with natural aging to validate the key genes.
Results
A total of 577 and 625 genes were identified in the osteoporosis (GSE156508) and sarcopenia (GSE226151), respectively. GO, KEGG, and GSEA analyses revealed that osteoporosis-related genes were enriched in muscle development and myogenesis pathways, while sarcopenia-related genes were linked to osteoclast differentiation and inflammatory responses. Venn analysis identified 20 genes shared by both diseases. Four machine learning algorithms identified five key genes: APOC1, ENPP5, FBXL22, IRS1, and PAQR4. Among them, PAQR4 showed the highest predictive value in ROC analysis and was consistently downregulated in both training and validation datasets. Immune infiltration analysis indicated altered neutrophil levels, notably reduced in osteoporotic skeletal muscle. Experimental validation confirmed decreased PAQR4 expression in both bone and muscle tissues of the DSO model.
Conclusions
These findings highlight PAQR4 as a potential biomarker and a candidate molecule of interest for osteosarcopenia.
{"title":"Exploring the molecular intersections of osteoporosis and sarcopenia: An integrated bioinformatics and experimental validation","authors":"Yan Lv , Yongjun Du , Peng Lin , Jiamian Liu , Shaoquan Pu , Sheng Lu","doi":"10.1016/j.exger.2026.113033","DOIUrl":"10.1016/j.exger.2026.113033","url":null,"abstract":"<div><h3>Background</h3><div>Osteoporosis and sarcopenia are age-related degenerative diseases that frequently co-occur in the older adults, yet their shared molecular mechanisms remain poorly understood. This study aimed to identify common biomarkers.</div></div><div><h3>Methods</h3><div>By utilizing the GEO database, differential and enrichment analyses were conducted to identify genes that are commonly expressed in both diseases. Subsequently, key genes were identified through four types of machine learning and six types of immune infiltration analyses. Finally, the Dual Condition Sarcopenia and Osteoporosis (DSO) model was established by combining bilateral ovariectomy with natural aging to validate the key genes.</div></div><div><h3>Results</h3><div>A total of 577 and 625 genes were identified in the osteoporosis (GSE156508) and sarcopenia (GSE226151), respectively. GO, KEGG, and GSEA analyses revealed that osteoporosis-related genes were enriched in muscle development and myogenesis pathways, while sarcopenia-related genes were linked to osteoclast differentiation and inflammatory responses. Venn analysis identified 20 genes shared by both diseases. Four machine learning algorithms identified five key genes: APOC1, ENPP5, FBXL22, IRS1, and PAQR4. Among them, PAQR4 showed the highest predictive value in ROC analysis and was consistently downregulated in both training and validation datasets. Immune infiltration analysis indicated altered neutrophil levels, notably reduced in osteoporotic skeletal muscle. Experimental validation confirmed decreased PAQR4 expression in both bone and muscle tissues of the DSO model.</div></div><div><h3>Conclusions</h3><div>These findings highlight PAQR4 as a potential biomarker and a candidate molecule of interest for osteosarcopenia.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"214 ","pages":"Article 113033"},"PeriodicalIF":4.3,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.exger.2026.113035
Jay Barolo , Douglas Mitchell , Francesca E. Wade
Dual-task walking, performing a secondary task while walking, challenges attentional and motor resources and has been linked to increased fall risk. While cognitive dual tasks are most often studied, physical (e.g., load carriage) and “combination” tasks such as obstacle crossing may also impact gait. Whole-body angular momentum and its variability provide sensitive markers of locomotor stability. We investigated how dual-task type influences gait mechanics and stability in younger and older adults.
Sixteen adults (18–80 years) completed four treadmill conditions at preferred walking speed: baseline walking (PWS), walking while talking (WWT), box carriage (BOX, 15 lb), and obstacle crossing (OBS). Spatiotemporal measures, trailing limb angle (TLA), and whole-body angular momentum in frontal and sagittal planes were computed. Mixed-model ANOVAs and statistical parametric mapping assessed trial and age effects.
Dual tasks altered spatiotemporal gait. BOX and OBS reduced step length, and OBS also shortened step time and reduced late-stance TLA. OBS elicited consistently greater variability in step length, width, time, double-support, and whole body angular momentum in both planes (all p < .01). Older adults took shorter steps and longer double support, with age × task interactions observed in these metrics.
Obstacle crossing imposed the greatest locomotor challenge, producing significant changes in TLA, whole body angular momentum, and variability, whereas cognitive and load carriage tasks induced smaller deviations. Findings highlight the importance of incorporating ecologically relevant “combination” tasks into gait assessment and demonstrate the utility of time-series analyses for detecting phase-specific disruptions to locomotor stability.
{"title":"Effect of cognitive and motor dual-task on stability and variability of walking in younger and older adults","authors":"Jay Barolo , Douglas Mitchell , Francesca E. Wade","doi":"10.1016/j.exger.2026.113035","DOIUrl":"10.1016/j.exger.2026.113035","url":null,"abstract":"<div><div>Dual-task walking, performing a secondary task while walking, challenges attentional and motor resources and has been linked to increased fall risk. While cognitive dual tasks are most often studied, physical (e.g., load carriage) and “combination” tasks such as obstacle crossing may also impact gait. Whole-body angular momentum and its variability provide sensitive markers of locomotor stability. We investigated how dual-task type influences gait mechanics and stability in younger and older adults.</div><div>Sixteen adults (18–80 years) completed four treadmill conditions at preferred walking speed: baseline walking (PWS), walking while talking (WWT), box carriage (BOX, 15 lb), and obstacle crossing (OBS). Spatiotemporal measures, trailing limb angle (TLA), and whole-body angular momentum in frontal and sagittal planes were computed. Mixed-model ANOVAs and statistical parametric mapping assessed trial and age effects.</div><div>Dual tasks altered spatiotemporal gait. BOX and OBS reduced step length, and OBS also shortened step time and reduced late-stance TLA. OBS elicited consistently greater variability in step length, width, time, double-support, and whole body angular momentum in both planes (all <em>p</em> < .01). Older adults took shorter steps and longer double support, with age × task interactions observed in these metrics.</div><div>Obstacle crossing imposed the greatest locomotor challenge, producing significant changes in TLA, whole body angular momentum, and variability, whereas cognitive and load carriage tasks induced smaller deviations. Findings highlight the importance of incorporating ecologically relevant “combination” tasks into gait assessment and demonstrate the utility of time-series analyses for detecting phase-specific disruptions to locomotor stability.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"214 ","pages":"Article 113035"},"PeriodicalIF":4.3,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.exger.2026.113034
Dong Liu , Hongyan Yang , Xiangqian Feng , Mingliang Hou , Xiaoyan Fu , Xiaoxiong Li , Wenjuan Hong , Le Chen , Jinping Li , Linqiu Ma , Qirong Liao , Yating Liu , Jing Lu , Donglin Wang , Huadong Zhou , Rui Zhou
Background
Alzheimer's disease (AD) and osteoporosis are common age-related degenerative diseases. Emerging evidence suggests that amyloid-β (Aβ) deposition may contribute to the pathogenesis of both conditions. This study investigated whether probucol could alleviate AD-associated bone loss and Aβ42-induced osteoblast dysfunction, and further explored the underlying mechanisms.
Methods
Female mice were divided into four groups (n = 5 per group): C57BL/6 wild-type (WT), WT treated with probucol (WT + PBC), APP/PS1 transgenic (AD) mice, and AD treated with probucol (AD+PBC). Bone mineral density (BMD) was assessed by micro-CT. Levels of pro-inflammatory cytokines (IL-1β, IL-6, TNF-α) along with bone metabolism markers including fibroblast growth factor 23 (FGF23), sclerostin, and brain-derived neurotrophic factor (BDNF) in bone and brain tissues were measured by ELISA. FOXO3a was knocked down in the bone marrow of APP/PS1 mice via stereotactic injection of lentiviral vectors. Expression of APP and FOXO3a in bone tissue was evaluated using RT-qPCR and Western blotting (WB). Mitochondrial damage in osteoblasts and neuronal cells was assessed by transmission electron microscopy (TEM). In vitro study, osteoblast differentiation and mineralization deficits were evaluated using Alizarin Red staining. WB was used to measure the expression of AKT, FOXO3a, autophagy and apoptosis related proteins.
Results
Probucol attenuated bone loss and mitochondrial damage in both APP/PS1 and FOXO3a-knockdown APP/PS1 mice, and improved cognitive impairment and neuronal ultrastructure in APP/PS1 mice. Furthermore, probucol attenuated Aβ42-induced osteoblast differentiation and mineralization via the AKT/FOXO3a signaling pathway in vitro.
Conclusion
These findings demonstrate that probucol ameliorates AD-associated bone loss and Aβ42-induced osteoblast impairments by regulating AKT/FOXO3a signaling pathway.
{"title":"Probucol attenuates bone loss in APP/PS1 mice and ameliorates Aβ42-induced osteoblast dysfunction by regulating AKT/FOXO3a signaling pathway","authors":"Dong Liu , Hongyan Yang , Xiangqian Feng , Mingliang Hou , Xiaoyan Fu , Xiaoxiong Li , Wenjuan Hong , Le Chen , Jinping Li , Linqiu Ma , Qirong Liao , Yating Liu , Jing Lu , Donglin Wang , Huadong Zhou , Rui Zhou","doi":"10.1016/j.exger.2026.113034","DOIUrl":"10.1016/j.exger.2026.113034","url":null,"abstract":"<div><h3>Background</h3><div>Alzheimer's disease (AD) and osteoporosis are common age-related degenerative diseases. Emerging evidence suggests that amyloid-β (Aβ) deposition may contribute to the pathogenesis of both conditions. This study investigated whether probucol could alleviate AD-associated bone loss and Aβ42-induced osteoblast dysfunction, and further explored the underlying mechanisms.</div></div><div><h3>Methods</h3><div>Female mice were divided into four groups (<em>n</em> = 5 per group): C57BL/6 wild-type (WT), WT treated with probucol (WT + PBC), APP/PS1 transgenic (AD) mice, and AD treated with probucol (AD+PBC). Bone mineral density (BMD) was assessed by micro-CT. Levels of pro-inflammatory cytokines (IL-1β, IL-6, TNF-α) along with bone metabolism markers including fibroblast growth factor 23 (FGF23), sclerostin, and brain-derived neurotrophic factor (BDNF) in bone and brain tissues were measured by ELISA. FOXO3a was knocked down in the bone marrow of APP/PS1 mice via stereotactic injection of lentiviral vectors. Expression of APP and FOXO3a in bone tissue was evaluated using RT-qPCR and Western blotting (WB). Mitochondrial damage in osteoblasts and neuronal cells was assessed by transmission electron microscopy (TEM). In vitro study, osteoblast differentiation and mineralization deficits were evaluated using Alizarin Red staining. WB was used to measure the expression of AKT, FOXO3a, autophagy and apoptosis related proteins.</div></div><div><h3>Results</h3><div>Probucol attenuated bone loss and mitochondrial damage in both APP/PS1 and FOXO3a-knockdown APP/PS1 mice, and improved cognitive impairment and neuronal ultrastructure in APP/PS1 mice. Furthermore, probucol attenuated Aβ42-induced osteoblast differentiation and mineralization via the AKT/FOXO3a signaling pathway in vitro.</div></div><div><h3>Conclusion</h3><div>These findings demonstrate that probucol ameliorates AD-associated bone loss and Aβ42-induced osteoblast impairments by regulating AKT/FOXO3a signaling pathway.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"214 ","pages":"Article 113034"},"PeriodicalIF":4.3,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145986109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-11DOI: 10.1016/j.exger.2026.113029
Chaoran Liu , Hui Shen , Kai Zhang , Xiumei Zhang , Rui Wang , Ninghua Wang
Background
Skeletal muscle deterioration accelerates with age, leading to muscle atrophy and dysfunction. Musculoskeletal ultrasound as a nonradiative, inexpensive, and portable tool, has potential to evaluate age-related muscle changes. This study aims to detect age-related muscle features based on muscle texture analysis and machine learning approach, and to investigate muscle features that are related to function.
Methods
Healthy adults were recruited and divided into young, middle-aged, and older groups. 3 muscle architecture and 154 texture features were extracted from transverse (T) and longitudinal (L) ultrasonic images of muscle. Reliability analysis of all texture features was performed. Support vector machine recursive feature elimination (SVM-RFE) was utilized to identify age-related muscle parameters. Muscle features as contributors of muscle function measured by 4 performance tests were detected.
Results
113 participants were recruited. The inter-rater and test-retest reliability showed that 44 muscle ultrasonography texture features were reliable. Among them, 9 features including gray variance-T, 0°short run low gray-level emphasis-T, inertia-L, 0°short run emphasis-T, gray variance-L, gray average-L, 0°run percentage-T, 45°energy-T, and 0°low gray-level run emphasis-L could be used to classify young and older groups with the accuracy of 94.04%, and sensitivity of 93.33% by SVM-RFE. In the multivariate analysis, 3 texture features contributed to functional performance. Gradient mean variance has the highest predictive value.
Conclusion
Texture analysis combined with machine learning could provide non-invasive biomarkers to classify muscles of young and old individuals, and assist in function prediction.
{"title":"Muscle ultrasonography texture in young, middle-aged, and older people and its association with functional performance: A machine learning-based study","authors":"Chaoran Liu , Hui Shen , Kai Zhang , Xiumei Zhang , Rui Wang , Ninghua Wang","doi":"10.1016/j.exger.2026.113029","DOIUrl":"10.1016/j.exger.2026.113029","url":null,"abstract":"<div><h3>Background</h3><div>Skeletal muscle deterioration accelerates with age, leading to muscle atrophy and dysfunction. Musculoskeletal ultrasound as a nonradiative, inexpensive, and portable tool, has potential to evaluate age-related muscle changes. This study aims to detect age-related muscle features based on muscle texture analysis and machine learning approach, and to investigate muscle features that are related to function.</div></div><div><h3>Methods</h3><div>Healthy adults were recruited and divided into young, middle-aged, and older groups. 3 muscle architecture and 154 texture features were extracted from transverse (T) and longitudinal (L) ultrasonic images of muscle. Reliability analysis of all texture features was performed. Support vector machine recursive feature elimination (SVM-RFE) was utilized to identify age-related muscle parameters. Muscle features as contributors of muscle function measured by 4 performance tests were detected.</div></div><div><h3>Results</h3><div>113 participants were recruited. The inter-rater and test-retest reliability showed that 44 muscle ultrasonography texture features were reliable. Among them, 9 features including gray variance-T, 0°short run low gray-level emphasis-T, inertia-L, 0°short run emphasis-T, gray variance-L, gray average-L, 0°run percentage-T, 45°energy-T, and 0°low gray-level run emphasis-L could be used to classify young and older groups with the accuracy of 94.04%, and sensitivity of 93.33% by SVM-RFE. In the multivariate analysis, 3 texture features contributed to functional performance. Gradient mean variance has the highest predictive value.</div></div><div><h3>Conclusion</h3><div>Texture analysis combined with machine learning could provide non-invasive biomarkers to classify muscles of young and old individuals, and assist in function prediction.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"214 ","pages":"Article 113029"},"PeriodicalIF":4.3,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145967148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-10DOI: 10.1016/j.exger.2026.113030
Xiaoying Ren , Yong Tian , Juan Tian , Guang Wang , Jia Liu
Background
Cardiovascular-kidney-metabolic (CKM) syndrome is a progressive disorder resulting from the intricate interactions among obesity, diabetes, chronic kidney disease (CKD), and cardiovascular disease (CVD). Remnant cholesterol (RC) has been shown to be associated with the risk of CKM syndrome progression. However, the combined effects of RC and high-sensitivity C-reactive protein (hs-CRP) on CKM syndrome progression remain unclear. This study evaluated the association between the remnant cholesterol inflammatory index (RCII) and CKM progression risk.
Methods
Data from the China Health and Retirement Longitudinal Study (CHARLS) were analyzed. Logistic regression models were employed to investigate the association between the baseline RCII and advanced CKM stages. Kaplan-Meier analysis was conducted to assess the cumulative incidence of CVD across RCII quartiles in individuals with CKM stages 0–3. Cox regression models were used to examine the associations of the baseline RCII and cumulative RCII (CumRCII) with the risk of new-onset CVD among individuals with CKM stages 0–3.
Results
In the baseline analysis, each standard deviation (SD) increase in the RCII was associated with a 26% greater risk of advanced CKM stages (odds ratio (OR): 1.26, 95% CI: 1.20–1.34). During the 7-year follow-up, 1483 (21.5%) participants with CKM stages 0–3 developed CVD. The cumulative incidence of CVD progressively increased across RCII quartiles, from 17.02% in Q1 to 25.75% in Q4. After full adjustment, compared with that in RCII Q1, CVD risk was 19% greater in RCII Q3 (hazard ratio (HR): 1.19, 95% CI: 1.02–1.39) and 29% greater in RCII Q4 (HR: 1.29, 95% CI: 1.11–1.51). Participants with CumRCII levels that exceeded 29.49 had a significantly increased risk of new-onset CVD (HR: 1.41, 95% CI: 1.10–1.80).
Conclusions
Higher baseline RCII and CumRCII were associated with an increased CVD risk in participants with CKM stages 0–3. Early intervention in those with elevated RCII may help prevent CKM progression.
{"title":"Predictive value of remnant cholesterol inflammatory index for cardiovascular-kidney-metabolic syndrome progression: A prospective cohort study","authors":"Xiaoying Ren , Yong Tian , Juan Tian , Guang Wang , Jia Liu","doi":"10.1016/j.exger.2026.113030","DOIUrl":"10.1016/j.exger.2026.113030","url":null,"abstract":"<div><h3>Background</h3><div>Cardiovascular-kidney-metabolic (CKM) syndrome is a progressive disorder resulting from the intricate interactions among obesity, diabetes, chronic kidney disease (CKD), and cardiovascular disease (CVD). Remnant cholesterol (RC) has been shown to be associated with the risk of CKM syndrome progression. However, the combined effects of RC and high-sensitivity C-reactive protein (hs-CRP) on CKM syndrome progression remain unclear. This study evaluated the association between the remnant cholesterol inflammatory index (RCII) and CKM progression risk.</div></div><div><h3>Methods</h3><div>Data from the China Health and Retirement Longitudinal Study (CHARLS) were analyzed. Logistic regression models were employed to investigate the association between the baseline RCII and advanced CKM stages. Kaplan-Meier analysis was conducted to assess the cumulative incidence of CVD across RCII quartiles in individuals with CKM stages 0–3. Cox regression models were used to examine the associations of the baseline RCII and cumulative RCII (CumRCII) with the risk of new-onset CVD among individuals with CKM stages 0–3.</div></div><div><h3>Results</h3><div>In the baseline analysis, each standard deviation (SD) increase in the RCII was associated with a 26% greater risk of advanced CKM stages (odds ratio (OR): 1.26, 95% CI: 1.20–1.34). During the 7-year follow-up, 1483 (21.5%) participants with CKM stages 0–3 developed CVD. The cumulative incidence of CVD progressively increased across RCII quartiles, from 17.02% in Q1 to 25.75% in Q4. After full adjustment, compared with that in RCII Q1, CVD risk was 19% greater in RCII Q3 (hazard ratio (HR): 1.19, 95% CI: 1.02–1.39) and 29% greater in RCII Q4 (HR: 1.29, 95% CI: 1.11–1.51). Participants with CumRCII levels that exceeded 29.49 had a significantly increased risk of new-onset CVD (HR: 1.41, 95% CI: 1.10–1.80).</div></div><div><h3>Conclusions</h3><div>Higher baseline RCII and CumRCII were associated with an increased CVD risk in participants with CKM stages 0<strong>–</strong>3. Early intervention in those with elevated RCII may help prevent CKM progression.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"214 ","pages":"Article 113030"},"PeriodicalIF":4.3,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145954737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}