Roadmap for alleviating the manifestations of ageing in the cardiovascular system
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Battery lifetime prediction across diverse ageing conditions with inter-cell deep learning
Accurately predicting battery lifetime in early cycles holds tremendous value in real-world applications. However, this task poses significant challenges due to diverse factors influencing complex battery capacity degradation, such as cycling protocols, ambient temperatures and electrode materials. Moreover, cycling under specific conditions is both resource-intensive and time-consuming. Existing predictive models, primarily developed and validated within a restricted set of ageing conditions, thus raise doubts regarding their extensive applicability. Here we introduce BatLiNet, a deep learning framework tailored to predict battery lifetime reliably across a variety of ageing conditions. The distinctive design is integrating an inter-cell learning mechanism to predict the lifetime differences between two battery cells. This mechanism, when combined with conventional single-cell learning, enhances the stability of lifetime predictions for a target cell under varied ageing conditions. Our experimental results, derived from a broad spectrum of ageing conditions, demonstrate BatLiNet’s superior accuracy and robustness compared to existing models. BatLiNet also exhibits transferring capabilities across different battery chemistries, benefitting scenarios with limited resources. We expect this study could promote exploration of cross-cell insights and facilitate battery research across comprehensive ageing factors.
KMT2A regulates the autophagy-GATA4 axis through METTL3-mediated m6A modification of ATG4a to promote NPCs senescence and IVDD progression
Intervertebral disc degeneration (IVDD), a disease associated with ageing, is characterised by a notable increase in senescent nucleus pulposus cells (NPCs) as IVDD progresses. However, the specific mechanisms that regulate the senescence of NPCs remain unknown. In this study, we observed impaired autophagy in IVDD-NPCs, which contributed to the upregulation of NPCs senescence and the senescence-associated secretory phenotype (SASP). The dysregulated SASP disrupted NPCs viability and initiated extracellular matrix degradation. Conversely, the restoration of autophagy reversed the senescence phenotype by inhibiting GATA binding protein 4 (GATA4). Moreover, we made the novel observation that a cross-talk between histone H3 lysine 4 trimethylation (H3K4me3) modification and N6-methyladenosine(m6A)-methylated modification regulates autophagy in IVDD-NPCs. Mechanistically, lysine methyltransferase 2A (KMT2A) promoted the expression of methyltransferase-like 3 (METTL3) through H3K4me3 modification, whereas METTL3-mediated m6A modification reduced the expression of autophagy-associated 4a (ATG4a) by attenuating its RNA stability, leading to autophagy damage in NPCs. Silencing KMT2A and METTL3 enhanced autophagic flux and suppressed SASP expression in IVDD-NPCs. Therefore, targeting the H3K4me3-regulated METTL3/ATG4a/GATA4 axis may represent a promising new therapeutic strategy for IVDD.
Genotype of PAX2-related disorders correlates with kidney and ocular manifestations
PAX2-related disorders encompass renal coloboma syndrome (RCS) and hereditary focal segmental glomerulosclerosis (FSGS) type 7. We retrospectively analyzed 27 Korean patients with PAX2 pathogenic variants detected between 2004 and 2022 and conducted a literature review of 328 cases, including 301 previously reported. In our cohort, 19 had RCS, 4 had FSGS, and 4 had isolated congenital anomalies of the kidneys and urinary tract. Patients were classified by variant type into predicted loss of function (pLoF) and non-pLoF variant groups, and by variant location into paired domain and other sites group. pLoF variants were predominantly associated with RCS, observed in 82% of patients in both our data (18 of 22, P = 0.017) and the literature (140 of 171, P < 0.001). Kidney failure developed in 52% of Korean patients at a median age of 14.5 years, with no difference in kidney survival between variant types. However, the literature review indicated faster progression to kidney failure in patients with pLoF variants (11.0 vs. 24.0 years; pLoF, n = 138 vs. non-pLoF, n = 71; P = 0.002), with no significant difference by variant location. Ocular manifestations were more common, had earlier onset, and were more severe in the pLoF variants group in our cohort (P = 0.038). The literature confirmed a higher prevalence of ocular involvement in patients with pLoF variants (pLoF, n = 175 vs. non-pLoF, n = 88; P < 0.001) and in those with paired domain variants (P = 0.01). pLoF variants in PAX2 were associated with worse kidney and ocular outcomes. These findings support genotype-phenotype correlations, contributing to tailored management in patients with PAX2-related disorders.
Noise causes cardiovascular disease: it’s time to act
Chronic transportation noise is an environmental stressor affecting a substantial portion of the population. The World Health Organization (WHO) and various studies have established associations between transportation noise and cardiovascular disease (CVD), such as myocardial infarction, stroke, heart failure, and arrhythmia. The WHO Environmental Noise Guidelines and recent reviews confirm a heightened risk of cardiovascular incidents with increasing transportation noise levels.
Iron homeostasis and ferroptosis in muscle diseases and disorders: mechanisms and therapeutic prospects
The muscular system plays a critical role in the human body by governing skeletal movement, cardiovascular function, and the activities of digestive organs. Additionally, muscle tissues serve an endocrine function by secreting myogenic cytokines, thereby regulating metabolism throughout the entire body. Maintaining muscle function requires iron homeostasis. Recent studies suggest that disruptions in iron metabolism and ferroptosis, a form of iron-dependent cell death, are essential contributors to the progression of a wide range of muscle diseases and disorders, including sarcopenia, cardiomyopathy, and amyotrophic lateral sclerosis. Thus, a comprehensive overview of the mechanisms regulating iron metabolism and ferroptosis in these conditions is crucial for identifying potential therapeutic targets and developing new strategies for disease treatment and/or prevention. This review aims to summarize recent advances in understanding the molecular mechanisms underlying ferroptosis in the context of muscle injury, as well as associated muscle diseases and disorders. Moreover, we discuss potential targets within the ferroptosis pathway and possible strategies for managing muscle disorders. Finally, we shed new light on current limitations and future prospects for therapeutic interventions targeting ferroptosis.
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