Circulating Hsa-miR499a-5p as markers in dysmobility syndrome patients: a new index for diagnosing dysmobility syndrome based on osteoporosis and predicting fracture risk.

BACKGROUND: Dysmobility syndrome based on osteoporosis (ODS) is a disease characterized by low bone mass and low muscle mass. Its features are high fracture and high fall risk. Falls and fractures are the most important factors affecting the quality of life and lifespan of ODS. However, there is no serum marker for the evaluation of ODS patients.Our previous studies have shown that the expression of circulating miRNA is stable and is a good marker for disease diagnosis. Therefore, this study aims to explore potential serum markers of ODS. METHODS: A total of 78 subjects were included in this study. The data including appendicular skeletal muscle mass index, bone mineral density, bone metabolism markers, and other relevant information were collected for analysis. Real-time quantitative polymerase chain reaction was used to detect 19 miRNAs associated with muscle mass reduction. The correlation of quantitative data was analyzed by Pearson. The receiver operating characteristic curve was used to evaluate the performance of miRNA as a biomarker. RESULTS: In this study, we found that the muscle mass and strength of patients with ODS are significantly reduced and are negatively correlated with the risk of fracture. The hsa-miR-499a-5p is specifically downregulated in ODS, and is positively correlated with muscle mass and strength, and negatively correlated with the risk of fracture. Compared with muscle mass and strength, hsa-miR-499a-5p has better sensitivity and specificity as a diagnostic marker. CONCLUSION: hsa-miR-499a-5p is a potential serum biomarker for assessing muscle function and predicting fall or fracture risk in the ODS population.

The characteristics of the body mass frequency index in dysmobility syndrome: A pilot study.

BACKGROUND: With the advancement of global aging, there has been an increase in patients with dysmobility syndrome (DS), often accompanied by osteoporosis, sarcopenia, and sarcopenic obesity. The objective of this study was to evaluate the application value of the body mass frequency index (BMFI) in older patients with DS by comprehensively analyzing the differences in BMFI between community-dwelling older subjects using medical and engineering methods. METHODS: A cross-sectional study was conducted to recruit community-dwelling older subjects aged 60-90 years. Various assessments and measurements were performed, including basic information collection, gait analysis, bone mineral density (BMD) and body composition measurement, fall and fracture risk et al. Gait analysis and body mass index (BMI) are in the established model to calculate BMFI. Analysis of BMFI was performed in community-dwelling older subjects, and the specificity and threshold of BMFI in predicting dysmobility syndrome (DS) were further analyzed. RESULTS: Significant differences in BMFI were observed between older adults with DS and those without DS. BMFI in older people was associated with bone quality, fracture risk, body fat percentage, appendicular skeletal muscle mass index (ASMI), grip strength, and speed. The odds ratio (OR) and 95 % confidence interval (CI) for BMFI in the non-DS and DS groups were 0.823 (0.743-0.901), respectively. Receiver operating characteristic (ROC) analysis demonstrated that BMFI had predictive value in distinguishing non-DS from DS (AUC = 0.669) (P < 0.05). The optimal threshold for predicting non-DS and DS was found to be 16.04 (sensitivities = 0.483, specificities = 0.774). CONCLUSION: The measurement of BMFI has demonstrated disparities in musculoskeletal status among older adults with and without DS. Notably, BMFI exhibits a unique predictive capacity for DS among the elderly population.

Rich diversity and active spatial-temporal dynamics of Thalassiosira species revealed by time-series metabarcoding analysis.

Thalassiosira is a species-rich genus in Bacillariophyta that not only contributes positively as primary producer, but also poses negative impacts on ecosystems by causing harmful algal blooms. Although taxonomical studies have identified a large number of Thalassiosira species, however, the composition of Thalassiosira species and their geographical distribution in marine ecosystems were not well understood due primarily to the lack of resolution of morphology-based approaches used previously in ecological expeditions. In this study, we systematically analyzed the composition and spatial-temporal dynamic distributions of Thalassiosira in the model marine ecosystem Jiaozhou Bay by applying metabarcoding analysis. Through analyzing samples collected monthly from 12 sampling sites, 14 Thalassiosira species were identified, including five species that were not previously reported in Jiaozhou Bay, demonstrating the resolution and effectiveness of metabarcoding analysis in ecological research. Many Thalassiosira species showed prominent temporal preferences in Jiaozhou Bay, with some displaying spring-winter preference represented by Thalassiosira tenera, while others displaying summer-autumn preference represented by Thalassiosira lundiana and Thalassiosira minuscula, indicating that the temperature is an important driving factor in the temporal dynamics. The application of metabarcoding analysis, equipped with appropriate molecular markers with high resolution and high specificity and databases of reference molecular marker sequences for potential all Thalassiosira species, will revolutionize ecological research of Thalassiosira species in Jiaozhou Bay and other marine ecosystems.

Association of interleukin-6 with sarcopenia and its components in older adults: a systematic review and meta-analysis of cross-sectional studies.

BACKGROUND: Observational studies have documented increased serum IL-6 levels in elderly individuals afflicted with sarcopenia. Nevertheless, the relationship between serum IL-6 concentrations and sarcopenia prevalence in the aging population is yet to be defined. METHODS: We executed a systematic review and meta-analysis of cross-sectional studies that scrutinized serum IL-6 levels in older adults with and without sarcopenia. Relevant studies were sourced from PubMed, Scopus, Embase, Cochrane Library, and Web of Science from inception until 10 September 2023. The standard mean differences (SMDs) in serum IL-6 levels between studies were synthesized using a random-effects model. To examine the influence of demographic and clinical factors on these outcomes, we performed subgroup analyses and meta-regression, focusing on variables such as sex, age, and body mass index (BMI). We also assessed the relationship between serum IL-6 levels and the defining components of sarcopenia: muscle mass, muscle strength, and physical performance. We used Fisher's Z transformation to standardize the interpretation of effect sizes from these relationships. The transformed values were then converted to summary correlation coefficients (r) for a clear and unified summary of the results. RESULTS: We included twenty-one cross-sectional studies involving 3,902 participants. Meta-analysis revealed significantly elevated serum IL-6 levels in older adults with sarcopenia compared with those without sarcopenia (SMD = 0.31; 95% CI 0.18, 0.44). The difference was highly pronounced in the subgroups of male and those with female percentage below 50% or a mean BMI below 24 kg/m2. Serum IL-6 levels were inversely correlated with muscle mass (summary r = -0.18; 95% CI -0.30, -0.06), but not with handgrip strength (summary r = -0.10; 95%CI: -0.25, 0.05) or gait speed (summary r = -0.09; 95%CI: -0.24, 0.07). CONCLUSIONS: This meta-analysis establishes a link between increased serum IL-6 levels and sarcopenia in the elderly, particularly in relation to decreased muscle mass.

Several studies have demonstrated elevated serum IL-6 levels in elderly individuals with sarcopenia, while the relationship between serum IL-6 levels and sarcopenia remains unclear.This is a systematic review and meta-analysis of 21 cross-sectional studies for the relationship between serum IL-6 levels and sarcopenia.Elevated serum IL-6 levels appear to be associated with sarcopenia in older adults, especially in relation to reduced muscle mass.

Seasonal microplastic ingestion by carnivorous chaetognaths in Jiaozhou Bay, China: Field evidence revealing microplastic trophic transfer.

Microplastics (MPs) are widely distributed in marine environments and ingested by marine organisms, especially zooplankton. Chaetognaths, typical carnivorous zooplankton, are pivotal in the food chain from secondary producers, such as copepods, to higher trophic level species. However, little is known about their MP ingestion. In this study, based on field observation data, for the first time, we studied seasonal characteristics and risks of MPs ingested by chaetognaths in Jiaozhou Bay and assessed effects of key prey copepods on MP ingestion by chaetognaths. MP/chaetognath values in February, May, August, and November were 0.19, 0.17, 0.15, and 0.39, respectively, showing no significant seasonal variation. Chaetognaths predominantly ingested MPs that were fiberous in shape, 101-400 µm in size and polyester in polymer type, with no significant seasonal variations. The risk of MP load in chaetognaths was low, but there are higher polymeric hazards and potential ecological risks. MP/chaetognath values were positively correlated with the copepod abundance and MP/copepod values. The characteristics of MPs ingested by chaetognaths were also highly similar to those of MPs ingested by copepods. However, the overall risk of biomagnification in the copepod-chaetognath food chain was low. This study provided field evidence for MP transfer in the planktonic food chain.

Arresting the bad seed: HDAC3 regulates proliferation of different microglia after ischemic stroke.

The accumulation of self-renewed polarized microglia in the penumbra is a critical neuroinflammatory process after ischemic stroke, leading to secondary demyelination and neuronal loss. Although known to regulate tumor cell proliferation and neuroinflammation, HDAC3's role in microgliosis and microglial polarization remains unclear. We demonstrated that microglial HDAC3 knockout (HDAC3-miKO) ameliorated poststroke long-term functional and histological outcomes. RNA-seq analysis revealed mitosis as the primary process affected in HDAC3-deficent microglia following stroke. Notably, HDAC3-miKO specifically inhibited proliferation of proinflammatory microglia without affecting anti-inflammatory microglia, preventing microglial transition to a proinflammatory state. Moreover, ATAC-seq showed that HDAC3-miKO induced closing of accessible regions enriched with PU.1 motifs. Overexpressing microglial PU.1 via an AAV approach reversed HDAC3-miKO-induced proliferation inhibition and protective effects on ischemic stroke, indicating PU.1 as a downstream molecule that mediates HDAC3's effects on stroke. These findings uncovered that HDAC3/PU.1 axis, which mediated differential proliferation-related reprogramming in different microglia populations, drove poststroke inflammatory state transition, and contributed to pathophysiology of ischemic stroke.