Risk Of Sarcopenia Research Articles

Growth and physical development of children at apparent risk of sarcopenia.

The consequences of sarcopenia on growth have received little attention. We analysed the potential risk resulting from the low lean mass for age expressed through the appendicular lean body mass index (aLBMI) and the ratio aLBM/trunk fat mass (trFM). The sample consisted of 580 participants 10-13 yrs evaluated twice in a 12-month interval: height, trFM, total and aLBM, whole-body bone mineral density less head (WBLH BMD), tibia and radius SOS, maturity and handgrip strength were measured. All variables except maturity and BMI were standardised according to sex and age group (Z-score) using the sample as a reference. A high risk of sarcopenia was identified for Z-scores ≤ -1 on aLBMI (Group B) or aLBM/trFM (Group C), while Z-scores > -1 on both markers were considered at low risk for sarcopenia (Group A). The ANCOVA adjusted for maturity was used to compare the three groups. Girls showed a more significant decrease in the total BMC/LBM ratio in Group B and a minor increase in WBLH BMD in Group C (p < 0.050); boys in Group B showed a tendency to gain less height (p = 0.053). The high risk of sarcopenia expressed through aLBMI or aLBM/trFM Z-score ≤ -1 compromises bone mineralisation in girls. The findings emphasise the necessity of implementing routine screening protocols for sarcopenia risk within clinical environments and educational institutions. Such screenings should extend beyond merely assessing body mass index to encompass broader body composition variables like lean body mass. By integrating these assessments into routine health evaluations, healthcare professionals and educators can proactively identify at-risk individuals and initiate timely interventions for suboptimal physical growth and development.

Causal Relationship Between Gut Microbiota, Metabolites, and Sarcopenia: A Mendelian Randomization Study.

Gut microbiota imbalance and sarcopenia are frequently observed in older adults. Gut microbiota and their metabolites are considered risk factors contributing to the heightened risk of sarcopenia, but whether these associations are causal remains unclear. We conducted linkage disequilibrium score regression and 2-sample Mendelian randomization (MR) methods with single-nucleotide polymorphisms sourced from large-scale genome-wide association studies as instrumental variables to examine the causal associations linking gut microbiota with their metabolites to the sarcopenia. Following the MR analysis, subsequent sensitivity analyses were conducted to reinforce the robustness and credibility of the obtained results. MR analysis yielded compelling evidence demonstrating the correlation between genetically predicted gut microbiota and metabolites and the risk of sarcopenia. The abundance of Porphyromonadaceae, Rikenellaceae, Terrisporobacter, and Victivallis was found to be associated with walking pace. Our study also found suggestive associations of 12 intestinal bacteria with appendicular lean mass, and of Streptococcaceae, Intestinibacter, Paraprevotella, Ruminococcaceae UCG009, and Sutterella with grip strength. Specifically, we identified 21 gut microbiota-derived metabolites that may be associated with the risk of sarcopenia. Utilizing a 2-sample MR approach, our study elucidates the causal interplay among gut microbiota, gut microbiota-derived metabolites, and the occurrence of sarcopenia. These findings suggest that gut microbiota and metabolites may represent a potential underlying risk factor for sarcopenia, and offer the promise of novel therapeutic focal points.

Dietary Intake, Menopausal Symptoms, and Body Composition Associated with Possible Sarcopenia Among Vietnamese Middle-Aged Women: A Cross-Sectional Study.

Background: This study aims to investigate the prevalence of possible sarcopenia and its associated factors among middle-aged Vietnamese women. Methods: A cross-sectional study was conducted on 205 women aged 40-55 years who were admitted to the Can Tho Obstetrics and Gynecology Hospital between February and December 2023. The presence of possible sarcopenia was determined according to the AWGS 2019 criteria. Associated factors were dietary intake (total energy, protein, lipid, and carbohydrate intake), the severity of menopausal symptoms by using the Kupperman index, and body composition by using the bioelectrical impedance analysis device, Inbody S10. Logistic regressions were built to analyze the association between possible sarcopenia and its associated factors. Results: The prevalence of possible sarcopenia was 29.8%, with a mean age of 47.2. Possible sarcopenia was detected in 23% of the participants based on the criterion of low handgrip strength, whereas 83.6% of the participants when considered low performance in the chair stand test. Adjusted logistic regression analysis showed that living in a rural area (adjusted odds ratio [AOR]: 2.16, 95% confidence interval [95% CI]: 1.22-4.72), energy intake <25 kcal/body weight, (AOR: 1.94, 95% CI: 1.75-5.06), protein intake <0.91 g/body weight (AOR: 2.42, 95% CI: 1.51-5.76), skipping breakfast (AOR: 2.03, 95% CI: 0.91-4.54), mild menopausal symptoms (AOR: 2.68, 95% CI: 1.61-5.36), and obesity (AOR: 1.59, 95%CI: 1.29-3.67) were significantly associated with higher risk of possible sarcopenia. Conversely, higher muscle mass and higher upper limb mass were associated with a decreased risk of possible sarcopenia (total muscle mass AOR: 0.20, 95% CI: 0.07-0.59). Conclusions: These findings would provide a basis for enhancing management and prevention strategies to reduce the risk of sarcopenia in Vietnam. In particular, attention to nutrient intake and the management of menopausal symptoms may reduce the risk of sarcopenia.

Exploring the complex associations among risks of malnutrition, sarcopenia, and frailty in community-dwelling older adults

BackgroundMalnutrition, sarcopenia, and frailty are age-related conditions that are associated with multiple health-related negative outcomes. However, the complex associations between them remain to be elucidated. The aims of the study were to explore: (1) whether the risk of sarcopenia has a mediator effect on the association between risks of malnutrition and frailty; and (2) whether physical activity (PA) level modulates this mediator effect in community-dwelling older adults.MethodsThis cross-sectional study involved 593 older adults (62.73% female; mean age = 71.35 ± 5.86 years). The Mini Nutritional Assessment-Short Form (MNA-SF), the SARC-F Questionnaire, and the FRAIL Questionnaire were used to assess the risks of malnutrition, sarcopenia, and frailty, respectively. The International Physical Activity Questionnaire Short Form (IPAQ-SF) was employed to assess PA level. Using the Hayes PROCESS macro (Models 4 and 7), mediation and moderated mediation analyses were performed.ResultsThe mediation analysis demonstrated that the MNA-SF had a significant effect on the SARC-F (B=-0.325; p < 0.001) and the SARC-F, in turn, had a significant effect on the FRAIL (B = 0.341; p < 0.001). The total (B=-0.171; p < 0.001), direct (B=-0.061; p = 0.001), and indirect (B=-0.111; bootstrap CI did not include zero, which indicates a significant effect) effects of MNA-SF on FRAIL were significant, showing that 65% of the association between the MNA-SF and FRAIL was explained by the SARC-F acting as a mediator. The moderated mediation analysis demonstrated that the association between MNA and SARC-F was moderated by the PA level (B = 0.253; p = 0.016). The SARC-F mediated and relatively enhanced the association between MNA-SF and FRAIL only in older adults with a moderate PA level (B=-0.120; CI: -0.154 to -0.085).ConclusionsThe SARC-F partially mediates the association between the MNA-SF and the FRAIL, indicating that malnutrition affects frailty through an indirect path via sarcopenia. Furthermore, the PA level moderates this mediator effect, with sarcopenia serving as a mediator in older adults with moderate a PA level but not in those with a low PA level. These findings reveal that it may be beneficial to consider PA level in combination with malnutrition and sarcopenia in the management and prevention of frailty in community-dwelling older adults.

Comparative Efficacy of Various Exercise Therapies and Combined Treatments on Inflammatory Biomarkers and Morphological Measures of Skeletal Muscle among Older Adults with Knee Osteoarthritis: A Network Meta-Analysis.

Osteoarthritis is associated with high risks of sarcopenia in older populations. Exercise interventions are promising treatments for musculoskeletal impairments in knee osteoarthritis (KOA). The purpose of this study was to identify the comparative effects of exercise monotherapy and its adjunct treatments on muscle volume and serum inflammation for older individuals with KOA. A literature search in the electronic databases was comprehensively performed from this study's inception until April 2024 to identify relevant randomized controlled trials (RCTs) that reported muscle morphology and inflammation outcomes after exercise. The included RCTs were analyzed through a frequentist network meta-analysis (NMA). The standard mean difference (SMD) with a 95% confidence interval was estimated for treatment effects on muscle morphology and inflammation biomarkers. The relative effects on each main outcome among all treatment arms were compared using surface under the cumulative ranking (SUCRA) scores. The certainty of evidence (CoE) was assessed by the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) ranking system. Probable moderators of the treatment efficacy were investigated by network meta-regression analysis. This study included 52 RCTs (4255 patients) for NMA. Among the 27 identified treatment arms, isokinetic training plus physical modality as well as low-load resistance training plus blood-flow restriction yielded the most optimal treatment for inflammation reduction (-1.89; SUCRA = 0.97; CoE = high) and muscle hypertrophy (SMD = 1.28; SUCRA = 0.94; CoE = high). The patient's age (β = -0.73), the intervention time (β = -0.45), and the follow-up duration (β = -0.47) were identified as significant determinants of treatment efficacy on muscle hypertrophy. Exercise therapy in combination with noninvasive agents exert additional effects on inflammation reduction and muscle hypertrophy compared to its corresponding monotherapies for the KOA population. However, such treatment efficacy is likely moderated by the patient's age, the intervention time, and the follow-up duration.

Machine Learning-Based Identification of Diagnostic Biomarkers for Korean Male Sarcopenia Through Integrative DNA Methylation and Methylation Risk Score: From the Korean Genomic Epidemiology Study (KoGES).

Sarcopenia, characterized by a progressive decline in muscle mass, strength, and function, is primarily attributable to aging. DNA methylation, influenced by both genetic predispositions and environmental exposures, plays a significant role in sarcopenia occurrence. This study employed machine learning (ML) methods to identify differentially methylated probes (DMPs) capable of diagnosing sarcopenia in middle-aged individuals. We also investigated the relationship between muscle strength, muscle mass, age, and sarcopenia risk as reflected in methylation profiles. Data from 509 male participants in the urban cohort of the Korean Genome Epidemiology Study_Health Examinee study were categorized into quartile groups based on the sarcopenia criteria for appendicular skeletal muscle index (ASMI) and handgrip strength (HG). To identify diagnostic biomarkers for sarcopenia, we used recursive feature elimination with cross validation (RFECV), to pinpoint DMPs significantly associated with sarcopenia. An ensemble model, leveraging majority voting, was utilized for evaluation. Furthermore, a methylation risk score (MRS) was calculated, and its correlation with muscle strength, function, and age was assessed using likelihood ratio analysis and multinomial logistic regression. Participants were classified into two groups based on quartile thresholds: sarcopenia (n = 37) with ASMI and HG in the lowest quartile, and normal ranges (n = 48) in the highest. In total, 238 DMPs were identified and eight probes were selected using RFECV. These DMPs were used to build an ensemble model with robust diagnostic capabilities for sarcopenia, as evidenced by an area under the receiver operating characteristic curve of 0.94. Based on eight probes, the MRS was calculated and then validated by analyzing age, HG, and ASMI among the control group (n = 424). Age was positively correlated with high MRS (coefficient, 1.2494; odds ratio [OR], 3.4882), whereas ASMI and HG were negatively correlated with high MRS (ASMI coefficient, -0.4275; OR, 0.6521; HG coefficient, -0.3116; OR, 0.7323). Overall, this study identified key epigenetic markers of sarcopenia in Korean males and developed a ML model with high diagnostic accuracy for sarcopenia. The MRS also revealed significant correlations between these markers and age, HG, and ASMI. These findings suggest that both diagnostic models and the MRS can play an important role in managing sarcopenia in middle-aged populations.

Development and Validation of PRE-SARC (PREdiction of SARCopenia Risk in Community Older Adults) Sarcopenia Prediction Model

ObjectiveReliable identification of high-risk older adults who are likely to develop sarcopenia is essential to implement targeted preventive measures and follow-up. However, no sarcopenia prediction model is currently available for community use. Our objective was to develop and validate a risk prediction model for calculating the 1-year absolute risk of developing sarcopenia in an aging population. MethodsOne prospective population-based cohort of non-sarcopenic individuals aged 60 years or older were used for the development of a sarcopenia risk prediction model and model validation. Sarcopenia was defined according to the 2019 Asian Working Group for Sarcopenia consensus. Stepwise logistic regression was used to identify risk factors for sarcopenia incidence within a 1-year follow-up. Model performance was evaluated using the area under the receiver operating characteristics curve (AUROC) and calibration plot, respectively. ResultsThe development cohort included 1042 older adults, among whom 87 participants developed sarcopenia during a 1-year follow-up. The PRE-SARC (PREdiction of SARCopenia Risk in community older adults) model can accurately predict the 1-year risk of sarcopenia by using 7 easily accessible community-based predictors. The PRE-SARC model performed well in predicting sarcopenia, with an AUROC of 87% (95% CI, 0.83-0.90) and good calibration. Internal validation showed minimal optimism, with an adjusted AUROC of 0.85. The prediction score was categorized into 4 risk groups: low (0%-10%), moderate (>10%-20%), high (>20%-40%), and very high (>40%). The PRE-SARC model has been incorporated into an online risk calculator, which is freely accessible for daily clinical applications (https://sarcopeniariskprediction.shinyapps.io/dynnomapp/). ConclusionsIn community-dwelling individuals, the PRE-SARC model can accurately predict 1-year sarcopenia incidence. This model serves as a readily available and free accessible tool to identify older adults at high risk of sarcopenia, thereby facilitating personalized early preventive approaches and optimizing the utilization of health care resources.

Association of lipid-lowering drugs with risk of sarcopenia: a drug target mendelian randomization study and meta-analysis

BackgroundLipid-lowering drugs are widely used among the elderly, with some studies suggesting links to muscle-related symptoms. However, the causality remains uncertain.MethodsUsing the Mendelian randomization (MR) approach, we assessed the causal effects of genetically proxied reduced low-density lipoprotein cholesterol (LDL-C) through inhibitions of hydroxy-methyl-glutaryl-CoA reductase (HMGCR), proprotein convertase subtilisin/kexin type 9 (PCSK9), and Niemann-Pick C1-like 1 (NPC1L1) on sarcopenia-related traits, including low hand grip strength, appendicular lean mass, and usual walking pace. A meta-analysis was conducted to combine the causal estimates from different consortiums.ResultsUsing LDL-C pooled data predominantly from UK Biobank, genetically proxied inhibition of HMGCR was associated with higher appendicular lean mass (beta = 0.087, P = 7.56 × 10− 5) and slower walking pace (OR = 0.918, P = 6.06 × 10− 9). In contrast, inhibition of PCSK9 may reduce appendicular lean mass (beta = -0.050, P = 1.40 × 10− 3), while inhibition of NPC1L1 showed no causal impact on sarcopenia-related traits. These results were validated using LDL-C data from Global Lipids Genetics Consortium, indicating that HMGCR inhibition may increase appendicular lean mass (beta = 0.066, P = 2.17 × 10− 3) and decelerate walking pace (OR = 0.932, P = 1.43 × 10− 6), whereas PCSK9 inhibition could decrease appendicular lean mass (beta = -0.048, P = 1.69 × 10− 6). Meta-analysis further supported the robustness of these causal associations.ConclusionsGenetically proxied HMGCR inhibition may increase muscle mass but compromise muscle function, PCSK9 inhibition could result in reduced muscle mass, while NPC1L1 inhibition is not associated with sarcopenia-related traits and this class of drugs may serve as viable alternatives to sarcopenia individuals or those at an elevated risk.

Dietary inflammatory index could increase the risk of sarcopenia in patients with chronic kidney disease

Using a system that incorporates a variety of food items rather than focusing on individual components can aid in assessing the inflammatory effects of a diet on disease outcomes such as chronic kidney disease (CKD). Therefore, we decided to investigate the association between dietary inflammatory index (DII) and the risk of protein–energy wasting (PEW) and sarcopenia in patients with CKD. In this cross-sectional study, 109 patients with CKD were selected from two clinics in Shiraz, Iran. The intake of individuals’ diets was recorded using a validated 168-item food frequency questionnaire. Additionally, Asian Working Group for Sarcopenia (AWGS) guidelines were utilized to evaluate muscles’ strength, mass, and function. Also, four International Society of Renal Nutrition and Metabolism (ISRNM) criteria (body mass index, intake of protein, albumin, and urine creatinine) were used to diagnose PEW. Logistic regression was used to assess the association between DII and sarcopenia as well as PEW. The results showed that the intake of saturated fatty acids, trans fatty acids, niacin, beta-carotene, and vitamin C was significantly different between lower and higher DII groups. In the univariate model, higher odds of sarcopenia was observed by each unit increase in DII (odds ratio (OR) = 1.379, 95% confidence interval (CI): 1.042–1.824) and age (OR = 1.073, 95% CI: 1.017–1.132). Additionally, in the multivariate model, the association between DII and age with odds of sarcopenia remained significant (DII: OR = 1.379, 95% CI: 1.030–1.846 and age: OR = 1.063, 95% CI: 1.007–1.121). The current study suggests the possible role of pro-inflammatory foods in worsening muscle health, specifically sarcopenia, in CKD patients. Future longitudinal studies may reveal the causative nature of these correlations.

Association between triglyceride-glucose index and sarcopenia in patients with chronic inflammatory airway disease

ObjectiveThis research sought to explore the association between the triglyceride-glucose (TyG) index and the risk of sarcopenia in patients with chronic inflammatory airway disease (CIAD). MethodsData were obtained from the National Health and Nutrition Examination Survey 2011–2018. Grouping was performed using TyG index tertiles and multiple logistic regression was employed to assess the correlation between TyG levels and the risk of sarcopenia. The Receiver Operating Characteristic (ROC) curve analysis was conducted to determine the prognostic value of the TyG index for sarcopenia. Linear regression analysis was utilized to elucidate the direct relationship between TyG index and sarcopenia. Additionally, the curve between the TyG and sarcopenia indices was examined using a generalized additive model. ResultsThe study included 981 individuals diagnosed with CIAD. After adjusting for potential confounders, a significant positive correlation was observed between TyG and sarcopenia (OR = 1.70, 95 % CI: 1.20–2.39, P = 0.002). Trend analysis using the chi-square test revealed an increase in sarcopenia prevalence concomitant with higher TyG levels (P < 0.05). Furthermore, linear regression analysis revealed a notable inverse linear association between the TyG and sarcopenia indices (β = −0.03; 95 % CI: −0.07–0.01; P = 0.020). The ROC curves corroborated the robust predictive capacity of TyG for sarcopenia among patients with CIAD, with an AUC of 0.685 (95 % CI: 0.636–0.735, P < 0.001). ConclusionOur research indicates a positive association between TyG and sarcopenia in CIAD patients. The TyG index may serve as a reliable marker for predicting sarcopenia risk in CIAD patients.

Neck Circumference Cut-Off Points for Identifying Adiposity: Association with Chronic Metabolic Diseases in Older People.

The leading cause of death in older people is cardiovascular diseases. Several studies have found that neck circumference (NC) is a simple anthropometric marker associated with adiposity. The aim of this study is to estimate and validate NC cut-off points as adiposity markers and analyze their association with cardiovascular and chronic metabolic diseases in older people. A cross-sectional study in 358 non-disabled, community-dwelling older people (71.7 ± 3.9 years) living in Santiago de Chile and participating in the HTSMayor study was conducted. Measurements of body composition and cardiovascular risks were evaluated. Receiver operating characteristic (ROC) curves and multiple logistic regression models were used to evaluate the association of NC with cardiovascular and chronic metabolic diseases. NC cut-off points were obtained to predict obesity, abdominal obesity, and adiposity. The best performance values of neck circumference relative to obesity and adiposity were obtained with respect to abdominal obesity (40.6 cm in men and 34.2 cm in women). Higher NC values were associated with a higher area under the curve (AUC) for men and women (men: AUC = 0.84; women: AUC = 0.86). NC was significantly associated with a higher risk for diabetes mellitus (OR = 1.95), hypertension (OR = 2.42), acute myocardial infarction (OR = 4.36), and comorbidities (OR = 2.01), and a lower risk for sarcopenia (OR = 0.35). This study shows that NC is a useful tool for detecting abdominal obesity, obesity, and adiposity in older people and that a higher NC increases the risk of chronic diseases.

Assessment of Nutritional Intake in Patients With Kidney Failure Treated by Haemodialysis on Dialysis and Non-dialysis Days

Introduction/Aims/ObjectiveInadequate nutritional intake in haemodialysis (HD) patients increases the risk of muscle wasting, nutrient deficiencies, leading to an increased risk of additional morbidity and mortality. We aimed to assess nutritional intake on the dialysis and non-dialysis day of patients established on HD. MethodsWe employed a two-day dietary record, one on the day of dialysis and one on the non-dialysis day, and then determined nutritional intake using the Nutritics software. Muscle strength was assessed by hand grip strength (HGS) and body composition determined using multifrequency bioelectrical impedance recorded post-dialysis. ResultsWe recruited 51 established HD patients dialysing between May-July 2022, mean age 60±15 years, 52.9% male, and 51% diabetic. Only 25% achieved the calorie and protein intake recommended by Kidney Disease Outcomes Quality Initiative (KDOQI). Most patients had inadequate consumtion of fibre (96%), calcium (86%), iron (80%), zinc (82%), selenium (92%), folate (82%), vitamin A (88%), and (100%) vitamin D. On the other hand, the great majority followed the restriction guidelines for potassium (96%), phosphorus (86%), and sodium (84%), repectively. However, consumption was greater for potassium (P=0.007), phosphorus (P=0.015), and zinc (P=0.032) on non-dialysis vs dialysis days, but there was no difference in protein or calorie intake between days. ConclusionOur results suggest that many of our HD patients do not achieve the recommended nutritional targets. Patient compliance with restricting sodium, potassium and phosphate limits protein and calorie intake. HD patients are at increased risk of sarcopenia, so failure to achieve dietary protein intake will further increase this risk.

Improving Body Composition Analysis in Oncology: Do Measures From Multicompartment, 2C and CT Agree? Implications for Monitoring Sarcopenia Risk

Improving Body Composition Analysis in Oncology: Do Measures From Multicompartment, 2C and CT Agree? Implications for Monitoring Sarcopenia Risk

Cross-sectional association of physical activity levels with risks of sarcopenia among older Taiwanese adults

ObjectivesThe updated World Health Organization 2020 guidelines strongly recommend an optimal physical activity level of 150–300 min/week for older adults. However, few studies have examined the relationship between different levels of physical activity and sarcopenia. Therefore, the purpose of this study was to investigate the cross-sectional associations between overall physical activity levels, gender, intensity, and the risk of sarcopenia among older Taiwanese adults.MethodsA nationwide cross-sectional telephone survey of older adults (≥ 65 years) was conducted in Taiwan from October 2019 to January 2020. Participants were interviewed to collect self-reported data on their level of physical activity (measured by the Taiwanese version of the IPAQ-SF), sarcopenia risk (measured by the SARC-F questionnaire), and sociodemographics.ResultsA total of 1068 older adults were surveyed. Compared with the optimal physical activity level recommendations in the WHO guidelines and after adjusting for potential confounders and proposing an association independent of sedentary behavior, older adults with insufficient physical activity levels (< 150 min/week) were more likely to have a higher risk of sarcopenia (OR: 3.24; CI: 1.67–6.27), whereas older adults who exceeded physical activity guidelines (> 300 min/week) were more likely to have a lower risk of sarcopenia (OR: 0.39; CI: 0.20–0.78). Maintaining moderate-intensity physical activity is essential for older adults, as physical activity that exceeds the guidelines can significantly lower the risk of sarcopenia; meanwhile, insufficient physical activity can greatly increase it. Also, there seems to be a similar association between sarcopenia risk across different physical activity levels in vigorous-intensity physical activities in older adults. However, due to the small number of sarcopenia-risk participants who met or exceeded vigorous-intensity physical activity levels, further comparisons between different vigorous-intensity physical activity levels did not show significant differences in sarcopenia risk. Additionally, insufficient physical activity was found to be an important risk factor for sarcopenia in both genders, while physical activity that exceeded the guidelines prevented sarcopenia in females.ConclusionsThe findings of this study highlight the potential dose-response relationship related to physical activity. The 2020 WHO guidelines provide the public with minimum recommendations for physical activity. However, exceeding these recommended levels appears to be more effective in preventing sarcopenia in older adults and may offer even greater health benefits. Future research should further explore whether exceeding these guidelines could result in additional health benefits.

Changes in lean body mass with glucagon-like peptide-1-based therapies and mitigation strategies.

Weight loss induced by glucagon-like peptide-1 receptor agonists (GLP-1RAs) and dual glucagon-like peptide-1 receptor (GLP-1R)/glucose-dependent insulinotropic polypeptide receptor agonists is coming closer to the magnitudes achieved with surgery. However, with greater weight loss there is concern about potential side effects on muscle quantity (mass), health and function. There is heterogeneity in the reported effects of GLP-1-based therapies on lean mass changes in clinical trials: in some studies, reductions in lean mass range between 40% and 60% as a proportion of total weight lost, while other studies show lean mass reductions of approximately 15% or less of total weight lost. There are several potential reasons underlying this heterogeneity, including population, drug-specific/molecular, and comorbidity effects. Furthermore, changes in lean mass may not always reflect changes in muscle mass as the former measure includes not only muscle but also organs, bone, fluids, and water in fat tissue. Based on contemporary evidence with the addition of magnetic resonance imaging-based studies, skeletal muscle changes with GLP-1RA treatments appear to be adaptive: reductions in muscle volume seem to be commensurate with what is expected given ageing, disease status, and weight loss achieved, and the improvement in insulin sensitivity and muscle fat infiltration likely contributes to an adaptive process with improved muscle quality, lowering the probability for loss in strength and function. Nevertheless, factors such as older age and severity of disease may influence the selection of appropriate candidates for these therapies due to risk of sarcopenia. To further improve muscle health during weight loss, several pharmacological treatments to maintain or improve muscle mass designed in combination with GLP-1-based therapies are under development. Future research on GLP-1-based and other therapies designed for weight loss should focus on more accurate and meaningful assessments of muscle mass, composition, as well as function, mobility or strength, to better define their impact on muscle health for the substantial number of patients who will likely be taking these medications well into the future.

Health effect of multiple air pollutant mixture on sarcopenia among middle-aged and older adults in China

BackgroundAs the global aging process accelerates, the health challenges posed by sarcopenia among middle-aged and older adults are becoming increasingly prominent. However, the available evidence on the adverse effects of air pollution on sarcopenia is limited, particularly in the Western Pacific region. This study aimed to explore relationships of multiple air pollutants with sarcopenia and related biomarkers using the nationally representative database. MethodsTotally, 6585 participants aged over 45 years were enrolled from the China Health and Retirement Longitudinal Study (CHARLS) in 2011 and 3443 of them were followed up until 2015. Air pollutants were estimated from high-resolution satellite-based spatial-temporal models. In the cross-sectional analysis, we used generalized linear regression, unconditional logistic regression analytical and restricted cubic spline (RCS) methods to assess the single-exposure and non-linear effects of multiple air pollutants on sarcopenia and related surrogate biomarkers (serum creatinine and cystatin C). Several popular mixture analysis techniques such as Bayesian kernel machine regression (BKMR), weighted quantile sum (WQS) regression, and quantile-based g-computation (Qgcomp) were further used to examinate the combined effects of multiple air pollutants. Logistic regression was used to further analyze the longitudinal association between air pollution and sarcopenia. ResultsEach interquartile range increase in PM2.5, PM10 and NO2 was significantly associated with an increased risk of sarcopenia, with adjusted odds ratios (aORs) of 1.09 [95 % confidence interval (CI): 1.01, 1.20], 1.24 (95 % CI: 1.14, 1.35) and 1.18 (95 % CI: 1.08, 1.28), respectively. Our findings also showed that five air pollutants were significantly associated with the sarcopenia index. In addition, employing a mixture analysis approach, we confirmed significant combined effects of air pollution mixtures on sarcopenia risk and associated biomarkers, with PM10 and PM2.5 identified as major contributors to the combined effect. The results of the exposure-response (E-R) relationships, subgroup analysis, longitudinal analysis and sensitivity analysis all showed the unfavorable impact of air pollution on sarcopenia risk and related vulnerable populations. ConclusionsSingle-exposure and co-exposure to multiple air pollutants were positively associated with sarcopenia among middle-aged and older adults in China. Our study provided new evidence that air pollution mixture was significantly associated with sarcopenia related biomarkers.

Insights into geriatric health: primary sarcopenia and innate immunity dynamics, examining SARC-F, serum TLR 4, TLR 9, and resolvin levels

The aim of this study is to evaluate the relationship between serum TLR (Toll Like Receptor) 4, 9 and Resolvin E1 levels and primary sarcopenia in geriatric patients and to compare the diagnostic accuracy of these biomarkers with the SARC-F score. A total of 88 patients aged 65 years and older were evaluated in the study. Comorbidities and geriatric syndromes were identified and patients with secondary sarcopenia were excluded. EWGSOP2 criteria were used as diagnostic criteria for sarcopenia and SARC-F questionnaire was used to find individuals at risk for sarcopenia. Serum TLR 4, 9 and Resolvin E1 levels were analyzed by ELISA. There were no significant differences between the two groups in terms of age and gender (p = 0.654 and p = 1.000, respectively). SARC-F, serum TLR 9 and Resolvin E1 were significantly higher in the sarcopenia group compared to the non-sarcopenia group (p < 0.001, p < 0.001 and p = 0.040, respectively). Statistically significant parameters were evaluated by multiple regression analysis. TLR 9 and SARC-F score were both found to be associated with sarcopenia in multivariate logistic regression analysis [Odds ratio (OR) 3145, (95%) confidence interval (CI) 5.9–1,652,888.3, p = 0.012; OR 4.788, (95%) CI 2.148–10.672, p < 0.001, respectively]. ROC curve analysis showed that the area under the ROC curve (AUC) for TLR 9 and SARC-F was 0.896 (p < 0.001) and 0.943 (p < 0.001), respectively. Although this study supports the use of the SARC-F questionnaire in daily practice, serum TLR 9 levels may be an alternative to SARC-F in cases where SARC-F is not feasible.

Associations between sarcopenia and circulating branched-chain amino acids: a cross-sectional study over 100,000 participants

BackgroundEmerging evidence suggests that alterations in BCAA metabolism may contribute to the pathogenesis of sarcopenia. However, the relationship between branched-chain amino acids (BCAAs) and sarcopenia is incompletely understood, and existing literature presents conflicting results. In this study, we conducted a community-based study involving > 100,000 United Kingdom adults to comprehensively explore the association between BCAAs and sarcopenia, and assess the potential role of muscle mass in mediating the relationship between BCAAs and muscle strength.MethodsMultivariable linear regression analysis examined the relationship between circulating BCAAs and muscle mass/strength. Logistic regression analysis assessed the impact of circulating BCAAs and quartiles of BCAAs on sarcopenia risk. Subgroup analyses explored the variations in associations across age, and gender. Mediation analysis investigated the potential mediating effect of muscle mass on the BCAA-muscle strength relationship.ResultsAmong 108,017 participants (mean age: 56.40 ± 8.09 years; 46.23% men), positive associations were observed between total BCAA, isoleucine, leucine, valine, and muscle mass (beta, 0.56–2.53; p < 0.05) and between total BCAA, leucine, valine, and muscle strength (beta, 0.91–3.44; p < 0.05). Logistic regression analysis revealed that increased circulating valine was associated with a 47% reduced sarcopenia risk (odds ratio = 0.53; 95% confidence interval = 0.3–0.94; p = 0.029). Subgroup analyses demonstrated strong associations between circulating BCAAs and muscle mass/strength in men and individuals aged ≥ 60 years. Mediation analysis suggested that muscle mass completely mediated the relationship between total BCAA, and valine levels and muscle strength, partially mediated the relationship between leucine levels and muscle strength, obscuring the true effect of isoleucine on muscle strength.ConclusionThis study suggested the potential benefits of BCAAs in preserving muscle mass/strength and highlighted muscle mass might be mediator of BCAA-muscle strength association. Our findings contribute new evidence for the clinical prevention and treatment of sarcopenia and related conditions involving muscle mass/strength loss.

Multimorbidity and the risk of malnutrition, frailty and sarcopenia in adults with cancer in the UK Biobank.

Malnutrition, sarcopenia and frailty are distinct, albeit interrelated, conditions associated with adverse outcomes in adults with cancer, but whether they relate to multimorbidity, which affects up to 90% of people with cancer, is unknown. This study investigated the relationship between multimorbidity with malnutrition, sarcopenia and frailty in adults with cancer from the UK Biobank. This was a cross-sectional study including 4122 adults with cancer (mean [SD] age 59.8 [7.1] years, 50.7% female). Malnutrition was determined using the Global Leadership Initiative on Malnutrition criteria. Probable sarcopenia and sarcopenia were defined using the European Working Group on Sarcopenia in Older People 2 criteria. (Pre-)frailty was determined using the Fried frailty criteria. Multimorbidity was defined as ≥2 long-term conditions with and without the cancer diagnosis included. Logistic regression models were fitted to estimate the odds ratios (ORs) of malnutrition, sarcopenia and frailty according to the presence of multimorbidity. Genitourinary (28.9%) and breast (26.1%) cancers were the most common cancer diagnoses. The prevalence of malnutrition, (probable-)sarcopenia and (pre-)frailty was 11.1%, 6.9% and 51.2%, respectively. Of the 11.1% of participants with malnutrition, the majority (9%) also had (pre-)frailty, and 1.1% also had (probable-)sarcopenia. Of the 51.2% of participants with (pre-)frailty, 6.8% also had (probable-)sarcopenia. No participants had (probable-)sarcopenia alone, and 1.1% had malnutrition, (probable-)sarcopenia plus (pre-)frailty. In total, 33% and 65% of participants had multimorbidity, including and excluding the cancer diagnosis, respectively. The most common long-term conditions, excluding the cancer diagnosis, were hypertension (32.5%), painful conditions such as osteoarthritis or sciatica (17.6%) and asthma (10.4%). Overall, 80% of malnourished, 74% of (probable-)sarcopenia and 71.5% of (pre-)frail participants had multimorbidity. Participants with multimorbidity, including the cancer diagnosis, had higher odds of malnutrition (OR 1.72 [95% confidence interval, CI, 1.31-2.30; P<0.0005]) and (pre-)frailty (OR 1.43 [95% CI 1.24-1.68; P<0.0005]). The odds increased further in people with ≥2 long-term conditions in addition to their cancer diagnosis (malnutrition, OR 2.41 [95% CI 1.85-3.14; P<0.0005]; (pre-)frailty, OR 2.03 [95% CI 1.73-2.38; P<0.0005]). There was little evidence of an association of multimorbidity with sarcopenia. In adults with cancer, multimorbidity was associated with increased odds of having malnutrition and (pre-)frailty but not (probable-)sarcopenia. This highlights that multimorbidity should be considered a risk factor for these conditions and evaluated during nutrition and functional screening and assessment to support risk stratification within clinical practice.

Metabolic signatures and risk of sarcopenia in suburb-dwelling older individuals by LC-MS-based untargeted metabonomics.

Untargeted metabonomics has provided new insight into the pathogenesis of sarcopenia. In this study, we explored plasma metabolic signatures linked to a heightened risk of sarcopenia in a cohort study by LC-MS-based untargeted metabonomics. In this nested case-control study from the Adult Physical Fitness and Health Cohort Study (APFHCS), we collected blood plasma samples from 30 new-onset sarcopenia subjects (mean age 73.2 ± 5.6 years) and 30 healthy controls (mean age 74.2 ± 4.6 years) matched by age, sex, BMI, lifestyle, and comorbidities. An untargeted metabolomics methodology was employed to discern the metabolomic profile alterations present in individuals exhibiting newly diagnosed sarcopenia. In comparing individuals with new-onset sarcopenia to normal controls, a comprehensive analysis using liquid chromatography-mass spectrometry (LC-MS) identified a total of 62 metabolites, predominantly comprising lipids, lipid-like molecules, organic acids, and derivatives. Receiver operating characteristic (ROC) curve analysis indicated that the three metabolites hypoxanthine (AUC=0.819, 95% CI=0.711-0.927), L-2-amino-3-oxobutanoic acid (AUC=0.733, 95% CI=0.598-0.868) and PC(14:0/20:2(11Z,14Z)) (AUC= 0.717, 95% CI=0.587-0.846) had the highest areas under the curve. Then, these significant metabolites were observed to be notably enriched in four distinct metabolic pathways, namely, "purine metabolism"; "parathyroid hormone synthesis, secretion and action"; "choline metabolism in cancer"; and "tuberculosis". The current investigation elucidates the metabolic perturbations observed in individuals diagnosed with sarcopenia. The identified metabolites hold promise as potential biomarkers, offering avenues for exploring the underlying pathological mechanisms associated with sarcopenia.