BACKGROUND

Sarcopenia is highly prevalent in patients with liver cirrhosis and contributes to decreased quality of life, increased morbidity, and mortality. The role of myostatin in cirrhosis-related sarcopenia remains controversial but may represent a potential therapeutic target.

This study aimed to investigate the association between serum myostatin levels and sarcopenia in patients with liver cirrhosis.

A cross-sectional study was conducted with 80 patients diagnosed with liver cirrhosis at Prof. Dr. I.G.N.G. Ngoerah General Hospital, Denpasar, Bali, Indonesia. Serum myostatin levels (ng/L) were measured using an ELISA technique. Sarcopenia was diagnosed based on the 2019 Asian Working Group for Sarcopenia (AWGS) consensus. Elevated myostatin levels were defined as values above the median. Bivariate and multivariate analyses were performed to assess associations between myostatin, cirrhosis severity, and sarcopenia.

The severity of cirrhosis (CTP B and C) was associated with elevated myostatin levels (PR = 2.046; 95% CI: 1.310–3.193; p = 0.002). Bivariate analysis demonstrated that elevated myostatin (PR = 2.178; 95% CI: 1.370–3.461; p < 0.001), CTP B and C (PR = 1.818; 95% CI: 1.223–2.701; p = 0.004), ascites (PR = 1.606; 95% CI: 1.110–2.324; p = 0.034), and malnutrition (PR = 1.806; 95% CI: 1.242–2.626; p = 0.004) were associated with sarcopenia. In multivariate analysis, only elevated serum myostatin remained significantly associated with sarcopenia (AOR = 4.273; 95% CI: 1.557–11.724; p = 0.005).

Elevated serum myostatin levels are strongly associated with sarcopenia in patients with liver cirrhosis. Cirrhosis severity is also linked to higher myostatin levels, suggesting a potential role for myostatin-targeted interventions in sarcopenia management.

Abstract Background: Sarcopenia and frailty are common geriatric syndromes that may contribute to mild cognitive impairment (MCI). Evidence regarding the independent roles of individual sarcopenia components and frailty in MCI remains limited in low- and middle-income countries. This study evaluated the association between sarcopenia components, frailty, and MCI among older adults in Indonesia. Methods: An ambispective cohort study was conducted among adults aged ≥60 years attending the Geriatric Outpatient Clinic of Dr. Cipto Mangunkusumo National General Hospital, Jakarta. Sarcopenia components were assessed using SARC-Calf (low muscle mass indicator), handgrip strength, and the five-times sit-to-stand test. Frailty was evaluated using the FRAIL scale. Cognitive function was assessed using the Rapid Cognitive Screening. Multivariate log-binomial or Poisson regression with robust variance was used to estimate adjusted risk ratios (RRs) for MCI. Results: A total of 121 participants (median age 74 years; 68.6% female) were included, with an MCI prevalence of 21.5%. After adjustment for confounders, low muscle mass indicator (RR 2.206; 95% CI 1.045–4.652) and low muscle strength (RR 3.006; 95% CI 1.202–7.517) were independently associated with MCI. Low physical performance (RR 1.773; 95% CI 0.796–3.773) and frailty (RR 1.086; 95% CI 0.377–3.134) were not significantly associated with MCI. Conclusion: Low muscle mass indicators and reduced muscle strength were independently associated with MCI, supporting the integration of simple sarcopenia screening tools into routine geriatric cognitive assessment.
sarcopenia ; frailty ; mild cognitive impairment ; rapid cognitive screening

OBJECTIVES: Osteoarthritis (OA) and sarcopenia are significant health concerns in the elderly, substantially impacting their daily activities and quality of life. However, the relationship between them remains poorly understood. This study aims to uncover common biomarkers and pathways associated with both OA and sarcopenia. METHODS: Gene expression profiles related to OA and sarcopenia were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between disease and control groups were identified using R software. Common DEGs were extracted via Venn diagram analysis. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to identify biological processes and pathways associated with shared DEGs. Protein-protein interaction (PPI) networks were constructed, and candidate hub genes were ranked using the maximal clique centrality (MCC) algorithm. Further validation of hub gene expression was performed using 2 independent datasets. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of key genes for OA and sarcopenia. Mouse models of OA and sarcopenia were established. Hematoxylin-eosin and Safranin O/Fast Green staining were used to validate the OA model. The sarcopenia model was validated via rotarod testing and quadriceps muscle mass measurement. Real-time reverse transcription PCR (real-time RT-PCR) was employed to assess the mRNA expression levels of candidate key genes in both models. Gene set enrichment analysis (GSEA) was conducted to identify pathways associated with the selected shared key genes in both diseases. RESULTS: A total of 89 common DEGs were identified in the gene expression profiles of OA and sarcopenia, including 76 upregulated and 13 downregulated genes. These 89 DEGs were significantly enriched in protein digestion and absorption, the PI3K-Akt signaling pathway, and extracellular matrix-receptor interaction. PPI network analysis and MCC algorithm analysis of the 89 common DEGs identified the top 17 candidate hub genes. Based on the differential expression analysis of these 17 candidate hub genes in the validation datasets, AEBP1 and COL8A2 were ultimately selected as the common key genes for both diseases, both of which showed a significant upregulation trend in the disease groups (all P<0.05). The value of area under the curve (AUC) for AEBP1 and COL8A2 in the OA and sarcopenia datasets were all greater than 0.7, indicating that both genes have potential value in predicting OA and sarcopenia. Real-time RT-PCR results showed that the mRNA expression levels of AEBP1 and COL8A2 were significantly upregulated in the disease groups (all P<0.05), consistent with the results observed in the bioinformatics analysis. GSEA revealed that AEBP1 and COL8A2 were closely related to extracellular matrix-receptor interaction, ribosome, and oxidative phosphorylation in OA and sarcopenia. CONCLUSIONS AEBP1 and COL8A2 have the potential to serve as common biomarkers for OA and sarcopenia. The extracellular matrix-receptor interaction pathway may represent a potential target for the prevention and treatment of both OA and sarcopenia.
Sarcopenia/genetics* ; Osteoarthritis/genetics* ; Computational Biology/methods* ; Humans ; Protein Interaction Maps/genetics* ; Animals ; Mice ; Gene Expression Profiling ; Gene Ontology ; Transcriptome ; Male ; Signal Transduction/genetics* ; Gene Regulatory Networks

Multimorbidity of chronic diseases is one of the most common health issues among older adults, and the resulting demand for long-term medical care and management imposes a considerable burden on healthcare systems. Muscle strength, a core indicator of overall health status, is closely associated with the risk of developing multimorbidity of chronic diseases in older adults. Decline in muscle strength not only increases the risk of multimorbidity of chronic diseases but also interacts with it to exacerbate disease burden. In older adults with existing multimorbidity of chronic diseases, muscle strength decline can impair physical function and quality of life, leading to a vicious cycle of disease progression and physical disability. Strength training can help prevent multimorbidity, with potential mechanisms including the promotion of anti-inflammatory effects and enhancement of mitochondrial energy metabolism. This review summarizes the impact of muscle strength decline on multimorbidity of chronic diseases in older adults and the effectiveness and potential mechanisms of exercise interventions, providing evidence to delay muscle strength decline, prevent the occurrence and progression of multimorbidity of chronic diseases, and improve quality of life in older adults.
Humans ; Aged ; Chronic Disease/prevention & control* ; Muscle Strength/physiology* ; Multimorbidity ; Quality of Life ; Resistance Training ; Exercise Therapy ; Exercise ; Sarcopenia

BACKGROUND

Hand grip strength (HGS) is a tool to measure muscle strength, which is an important component in sarcopenia and frailty. Grip strength (GS) in midlife can predict physical disability in senior years and help evaluate a patient's overall health.

The general purpose of this study is to validate the HGS using an aneroid sphygmomanometer and Jamar dynamometer as a diagnostic tool for sarcpenia. The specific aims of this study are (a) to determine the concurrent criterion validity, (b) to determine the reliability, and (c) to measure the inter-rater agreement of the aneroid sphygmomanometer against the Jamar dynamometer in measuring HGS.

This prospective validation study measures HGS using an aneroid sphygmomanometer and Jamar dynamometer obtained from seventy participants 50 years old and above. Statistical methods used in data analysis include Spearman Rho, univariate linear regression analyses, intra-class correlation, inter-rater reliability, intra-rater reliability, Bland-Altman plots, and Lin’s concordance.

There was a significant correlation of HGS with the Jamar dynamometer and aneroid sphygmomanometer regardless of the rater [Spearman Rho (rs=0.762 to 0.778, p=0.001)]. Jamar GS is comparable to GS using a sphygmomanometer with the formula of [Jamar = 0.54 x sphygmomanometer (mmHg) - 45.12].

Aneroid sphygmomanometer can be used as an option to measure GS and has a valid value to predict the Jamar GS value. Hence, it can be an alternate tool for diagnosing sarcopenia.

BACKGROUND

Curcumin has been investigated as a potential natural solution to prevent or even treat skeletal muscle decline. There are a number of externally sourced finished products (ie, those imported from other countries) containing curcumin, but high cost limits their usage. The emerging research and development of locally sourced curcumin is an opportunity to produce high-quality oral supplements comparable to existing imported products.

The primary purpose of this study is to determine the effects of oral administration of a local curcumin formulation on skeletal muscle using an animal model that similarly demonstrated the course of human sarcopenia.

Purpose-bred 11- to 12-week-old female Sprague Dawley (SD) rats will be used in this study. SD rats are extensively used in animal models of human diseases and conditions such as diabetes, obesity and sarcopenia. Female rats have been selected because they do not demonstrate more temperature or activity variance and have more stable behavior compared to males. To simulate sarcopenia in this animal model, the tail suspension (TS) method was utilized. The TS method involves decreased hind limb function by suspending the animal’s tail for the duration of treatment. The laboratory animals will be randomized to receive any of the four treatments: (1) low-dose curcumin + vehicle; (2) high-dose curcumin + vehicle; (3) vehicle only; and (4) control (distilled water). The interventions will be subdivided into two: 2-week treatment and 4-week treatment. The gastrocnemius muscles on both sides will be excised and weighed, and the muscle tissues subjected to rapid freezing in acetone-dry ice and sliced into 10 μm-thick sections for staining. Examination of muscle architecture and computation of atrophy factors will be performed. The presence of connective tissue, fat tissue and number of atrophic muscle cells will be determined. Accurate quantitative detection of the rat total AMP (adenosine monophosphate)-Activated Protein Kinase will be performed in the gastrocnemius muscle tissue utilizing the enzyme-linked immunosorbent assay kit.

Stroke-associated sarcopenia is a serious post-stroke complication that can have a significant impact on patient’s functional recovery. However， currently available assessment tools for sarcopenia require specialized equipment and personnel， which are difficult to access in resource-limited settings. This article presents the role of biomarkers as an objective method in the pathogenesis， prevention， diagnosis， and prognostic assessment of stroke-associated sarcopenia， with the focus on neuromuscular， inflammatory， metabolic， and nutritional indicators.
Stroke ; Sarcopenia ; Biomarkers

Objective To investigate the incidence rate of sarcopenia and related risk factors in patients with stroke. Methods A retrospective analysis was performed for the patients with stroke who were admitted to the stroke center of a grade A tertiary hospital in Changchun， China， from March 2023 to June 2024. The method of bioelectrical impedance was used to perform body composition analysis for all patients on day（7.0±1.0）after admission， and the incidence rate of stroke-related sarcopenia was analyzed. A binary logistic regression analysis was used to investigate the risk factors for stroke-related sarcopenia. Results A total of 666 patients were included in the study， among whom 150（22.5%） developed sarcopenia （95%CI 0.193‒ 0.257）. Low body mass index， low phase angle， low triglyceride， advanced age， and low Barthel index were risk factors for the early onset of sarcopenia in patients with stroke. Conclusion There is a relatively high incidence rate of sarcopenia in stroke patients， with complex influencing factors. Medical staff should pay more attention to the elderly stroke patients， as well as those patients with emaciation， low phase angle， low triglyceride， and limited activities of daily living. Early nutritional supplementation and functional exercise can help to prevent the onset of stroke-related sarcopenia.
Stroke ; Sarcopenia

INTRODUCTION: The diagnosis of sarcopenia relies on key indicators such as handgrip strength, walking speed and muscle mass. Developing a composite index that integrates these measures could enhance clinical evaluation in older adults. This study aimed to standardise and combine these metrics to establish a z score for the sarcopenia composite index (ZoSCI) tailored for the ageing population. Additionally, we explore the risk factors associated with ZoSCI to provide insights into early prevention and intervention strategies. METHOD: This retrospective study analysed data between January 2017 and December 2021 from an elderly health programme in Taiwan, applying the Asian Working Group for Sarcopenia criteria to assess sarcopenia. ZoSCI was developed by standardising handgrip strength, walking speed and muscle mass into z scores and integrating them into a composite index. Receiver operating characteristic (ROC) curve analysis was used to determine optimal cut-off values, and multiple regression analysis identified factors influencing ZoSCI. RESULTS: Among the 5047 participants, the prevalence of sarcopenia was 3.7%, lower than the reported global prevalence of 3.9-15.4%. ROC curve analysis established optimal cut-off points for distinguishing sarcopenia in ZoSCI: -1.85 (sensitivity 0.91, specificity 0.88) for males and -1.97 (sensitivity 0.93, specificity 0.88) for females. Factors associated with lower ZoSCI included advanced age, lower education levels, reduced exercise frequency, lower body mass index and creatinine levels. CONCLUSION This study introduces ZoSCI, a new compo-site quantitative indicator for identifying sarcopenia in older adults. The findings highlight specific risk factors that can inform early intervention. Future studies should validate ZoSCI globally, with international collaborations to ensure broader applicability.
Humans ; Sarcopenia/physiopathology* ; Male ; Aged ; Female ; Retrospective Studies ; Hand Strength ; Taiwan/epidemiology* ; ROC Curve ; Aged, 80 and over ; Risk Factors ; Walking Speed ; Geriatric Assessment/methods* ; Prevalence ; Muscle, Skeletal ; Middle Aged

The increasing prevalence of aging has led to a rising incidence of comorbidity of sarcopenia and obesity, posing significant burdens on socioeconomic and public health. Current research has systematically explored the pathogenesis of each condition; however, the mechanisms underlying their comorbidity remain unclear. This study reviews the current literature on sarcopenia and obesity in the aging population, focusing on their shared biological mechanisms, which include loss of autophagy, abnormal macrophage function, mitochondrial dysfunction, and reduced sex hormone secretion. It also identifies metabolic mechanisms such as insulin resistance, vitamin D metabolism abnormalities, dysregulation of iron metabolism, decreased levels of nicotinamide adenine dinucleotide, and gut microbiota imbalances. Additionally, this study also explores the important role of genetic factors, such as alleles and microRNAs, in the co-occurrence of sarcopenia and obesity. A better understanding of these mechanisms is vital for developing clinical interventions and preventive strategies.
Humans ; Sarcopenia/physiopathology* ; Obesity/physiopathology* ; Aging/physiology* ; Autophagy/physiology* ; Insulin Resistance ; Comorbidity ; Vitamin D/metabolism* ; Gonadal Steroid Hormones/metabolism* ; Gastrointestinal Microbiome ; Mitochondria ; MicroRNAs