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Osteoarthritis (OA) is a common age-related disease that correlates with a high number of senescent cells in joint tissues. Senescence has been reported to be one of the main drivers of OA pathogenesis, in particular via the release of senescence-associated secretory phenotype (SASP) factors. SASP factors are secreted as single molecules and/or packaged within extracellular vesicles (EVs), thereby contributing to senescent phenotype dissemination. click here Targeting senescent cells using senolytics or senomorphics has therefore been tested and improvement of OA-associated features has been reported in murine models. Mesenchymal stromal cells (MSCs) and their derived EVs (MSC-EVs) are promising treatments for OA, exerting pleiotropic functions by producing a variety of factors. However, functions of MSCs and MSC-EVs are affected by aging. In this review, we discuss on the impact of the senescent environment on functions of aged MSC-EVs and on the anti-aging properties of MSC-EVs in the context of OA.

This study aims to explore the current practice of risk of bias assessment in systematic reviews of behavioral clinical trials published in substance use journals and how assessment results were incorporated into meta-analysis.

The authors searched for systematic reviews and meta-analyses of behavioral interventions published from 2016 to 2020 in 40 substance use journals. Two authors independently screened and extracted relevant information from each review. Different tools for risk of bias assessment and approaches of incorporating the risk of bias assessment results into meta-analysis were summarized.

The study identified 35 systematic reviews and meta-analyses of behavioral clinical trials. Among the 35 reviews, 31 (89%) assessed the risk of bias of their included studies. Twelve (39%) of the 31 reviews incorporated these assessment findings into their meta-analysis of intervention effects (e.g., conducted meta-regression or subgroup analysis, sensitivity analysis, limited the synthesis only to the "high quality" studies).

Performing and reporting risk of bias assessment remain inconsistent in published systematic reviews. Future systematic reviews and meta-analyses are encouraged to connect their risk of bias assessment findings with meta-analysis and follow the most updated PRISMA guidelines in reporting the methods and results of risk of bias assessment.

Performing and reporting risk of bias assessment remain inconsistent in published systematic reviews. Future systematic reviews and meta-analyses are encouraged to connect their risk of bias assessment findings with meta-analysis and follow the most updated PRISMA guidelines in reporting the methods and results of risk of bias assessment.

We aimed to develop an algorithm for the identification of basic Activities of Daily Living (ADL)-dependency in health insurance databases.

We used the AMI (Aging Multidisciplinary Investigation) population-based cohort including both individual face-to-face assessment of ADL-dependency and merged health insurance data. The health insurance factors associated with ADL-dependency were identified using a LASSO logistic regression model in 1000 bootstrap samples. An external validation on a 1/97 representative sample of the French Health Insurance general population of Affiliates has been performed.

Among 995 participants of the AMI cohort aged ≥ 65y, 114 (11.5%) were ADL-dependent according to neuropsychologists individual assessments. The final algorithm developed included age, sex, four drug classes (dopaminergic antiparkinson drugs, antidepressants, antidiabetic agents, lipid modifying agents), three type of medical devices (medical bed, patient lifter, incontinence equipment), four medical acts (GP's consultations at home, daily and non-daily nursing at home, transport by ambulance) and four long-term diseases (stroke, heart failure, coronary heart disease, Alzheimer and other dementia). Applying this algorithm, the estimated prevalence of ADL-dependency was 12.3% in AMI and 9.5% in the validation sample.

This study proposes a useful algorithm to identify ADL-dependency in the health insurance data.

This study proposes a useful algorithm to identify ADL-dependency in the health insurance data.Sophorolipids are biobased compounds produced by the genera Starmerella and Pseudohyphozyma that gain exponential interest from academic and industrial stakeholders due to their mild and environmental friendly characteristics. Currently, industrially relevant sophorolipid volumetric productivities are reached up to 3.7 g∙L-1∙h-1 and sophorolipids are used in the personal care and cleaning industry at small scale. Moreover, applications in crop protection, food, biohydrometallurgy and medical fields are being extensively researched. The research and development of sophorolipids is at a crucial stage. Therefore, this work presents an overview of the state-of-the-art on sophorolipid research and their applications, while providing a critical assessment of scientific techniques and standardisation in reporting. In this review, the genuine sophorolipid producing organisms and the natural role of sophorolipids are discussed. Subsequently, an evaluation is made of innovations in production processes and the relevance of in-situ product recovery for process performance is discussed. Furthermore, a critical assessment of application research and its future perspectives are portrayed with a focus on the self-assembly of sophorolipid molecules. Following, genetic engineering strategies that affect the sophorolipid physiochemical properties are summarised. link2 Finally, the impact of sophorolipids on the bioeconomy are uncovered, along with relevant future perspectives.Decabromodiphenyl ether (BDE209) has been widely used as a flame retardant in the past four decades, leading to human health consequences, especially neurological impairments. Our previous in vivo studies have suggested that developmental neurotoxicity in offspring may be the result of BDE209-induced placental type III iodothyronine deiodinase (Dio3) disturbance and consequent thyroid hormone (TH) instability. link3 Dio3 is paternally imprinted gene, and its balanced expression is crucial in directing normal development and growth. In this study, we used placenta-derived cells to investigate how BDE209 affected Dio3 expression through interfering imprinting mechanisms in the delta-like homolog 1 (Dlk1)-Dio3 imprinted region. Gene chip analysis and RT-qPCR identified miR409-3p, miR410-5p, miR494-3p, miR668-3p and miR889-5p as potential candidates involved in Dio3 deregulation. The sodium bisulfite-clonal sequencing revealed the BDE209 affect methylation status of two differentially methylated regions (DMRs), intergenic-DMR (IG-DMR) and maternally expressed gene 3-DMR (MEG3-DMR). Our data indicate that placental Dio3 may be a potential molecular target for future study of BDE209 developmental toxicity. In particular, miRNAs, IG-DMR and MEG3-DMR in the Dlk1-Dio3 imprinted locus may be informative in directing studies in TH disturbance and developmental toxicity induced by in utero exposure to environmental persistent organic pollutants (POPs), and those candidate miRNAs may prove to be convenient and noninvasive biomarkers for future large-scale population studies.Cetaceans have evolved elongated soft-tissue flipper with digits made of hyperphalangy. Cetaceans were found to have 2-3 more alanine residues in Hoxd13 than other mammals, which were suggested to be related to their flipper. However, how Hoxd13 regulates other genes and induces hyperphalangy in cetaceans remain poorly understood. Here, we overexpressed the bottlenose dolphin Hoxd13 in zebrafish (Danio rerio). Combined with transcriptome data and evolutionary analyses, our results revealed that the Wingless/Integrated (Wnt) and Hedgehog signaling pathways and multiple genes might regulate hyperphalangy development in cetaceans. Meanwhile, the Notch and mitogen-activated protein kinase (Mapk) signaling pathways and Fibroblast growth factor receptor 1 (Fgfr1) are probably correlated with interdigital tissues retained in the cetacean flipper. In conclusion, this is the first study to use a transgenic zebrafish to explore the molecular evolution of Hoxd13 in cetaceans, and it provides new insights into cetacean flipper formation.As a subjective mood-related disorder with an unclear mechanism, depression has many problems in its diagnosis, which offers great space and value for research. At present, the methods commonly used to judge whether an animal model of depression has been established are mainly by biochemical index detection and behavioral tests, both of which inevitably cause stress in animals. Stress-induced hair growth inhibition has been widely reported in humans and animals. The simplicity of collecting hair samples and the observable state of hair growth has significant advantages; we tried to explore whether the parameters related to hair growth could be used as auxiliary indicators to evaluate a depression model in animals. The length and weight of the hair were calculated. Correlation analysis was conducted between the depressive behavioral results and the glucocorticoid levels in hair and serum. Learned helplessness combined with chronic restraint stress, and chronic unpredictable stress in the animal were detectable by superficial observation, weight ratio, and length of hair, and follicular development scores were significantly reduced compared to the control. The hair growth parameters of rats with depression, the rise in corticosterone, and the corresponding changes in behavioral parameters were significantly correlated. The neurotrophic factors, glucocorticoid-receptor (GR), brain-derived neurotrophic factor (BDNF), fibroblast growth factor 2 (FGF2), and fibroblast growth factor 5 (FGF5), are associated with depression and hair growth. Significant differences were detected between the stress and control groups, suggesting that the mechanism underlying the stress-phenomenon inhibition of hair growth may be related to growth factor mediation.Understanding gender differences in meat consumption can help strengthen efforts to improve the sustainability of eating patterns. Compared to women, men eat more meat and are less open to becoming vegetarian. Simply considering between-gender differences, however, may overlook meaningful within-gender heterogeneity in how masculine and feminine identities associate with eating behavior. Distinguishing between specific types of meat is also important, given that some meats (e.g., beef) pose greater challenges to sustainability than do other meats. Through a highly powered, preregistered study (N = 1706), we investigated the predictive value of traditional gender role conformity and gender identity centrality for meat consumption frequency and openness to becoming vegetarian. Greater conformity to traditional gender roles predicted more frequent consumption of beef and chicken and lower openness to vegetarianism among men but offered no predictive value among women. No effects were observed for pork or fish consumption. Among women, greater traditional gender role conformity and gender identity centrality were associated with openness to becoming vegetarian for health reasons. Among men, lower traditional gender role conformity was associated with openness to becoming vegetarian for environmental reasons. These findings suggest that understanding meat consumption calls for greater distinctions between specific types of meat as well as deeper consideration of within-gender heterogeneity.