Musculoskeletal disorders in hemodialysis patients: different disease clustering according to age and dialysis vintage.

Musculoskeletal disorders remain a major problem in hemodialysis patients. The aim of the study was to estimate the prevalence of musculoskeletal manifestations in hemodialysis patients and identify disease cluster profiles. We performed a cross-sectional study including all adult patients in the hemodialysis unit at Hotel-Dieu de France Hospital. We collected demographic characteristics, musculoskeletal symptoms, biologic parameters, and treatments. Musculoskeletal disorders were classified by a rheumatologist into predefined diagnostic categories. Prevalence was presented, and a cluster analysis was performed. Eighty-nine patients were included, mean age was 67.5 ± 12 years, and 43.8% were female. Dialysis vintage was 5.7 ± 5.37 years. Musculoskeletal symptoms were reported by 76.4% of the patients. Pain was the most frequent symptom (44.9%). The main diagnoses were osteoarthritis (53.9%) and fracture (27%). Musculoskeletal symptoms and disorders were significantly associated with dialysis vintage and age. Cluster analysis identified three patient profiles: younger with low calcium levels, younger but long dialysis vintage with osteoarthritis and carpal tunnel syndrome, and older with long dialysis vintage and fractures. The prevalence of musculoskeletal manifestations is high in the hemodialysis population and increases with dialysis vintage. Musculoskeletal disorders cluster according to age and dialysis vintage. Key Points• Musculoskeletal symptoms are highly prevalent among hemodialysis patients (76.4%).• All musculoskeletal disorders are associated with dialysis vintage and age.• Three clusters are identified among hemodialysis patients: young with low calcium levels, young but long dialysis vintage with osteoarthritis and carpal tunnel syndrome and old with long dialysis vintage with fractures.

Resveratrol Preconditioning Induces Genomic and Metabolic Adaptations within the Long-Term Window of Cerebral Ischemic Tolerance Leading to Bioenergetic Efficiency.

Neuroprotective agents administered post-cerebral ischemia have failed so far in the clinic to promote significant recovery. Thus, numerous efforts were redirected toward prophylactic approaches such as preconditioning as an alternative therapeutic strategy. Our laboratory has revealed a novel long-term window of cerebral ischemic tolerance mediated by resveratrol preconditioning (RPC) that lasts for 2 weeks in mice. To identify its mediators, we conducted an RNA-seq experiment on the cortex of mice 2 weeks post-RPC, which revealed 136 differentially expressed genes. The majority of genes (116/136) were downregulated upon RPC and clustered into biological processes involved in transcription, synaptic signaling, and neurotransmission. The downregulation in these processes was reminiscent of metabolic depression, an adaptation used by hibernating animals to survive severe ischemic states by downregulating energy-consuming pathways. Thus, to assess metabolism, we used a neuronal-astrocytic co-culture model and measured the cellular respiration rate at the long-term window post-RPC. Remarkably, we observed an increase in glycolysis and mitochondrial respiration efficiency upon RPC. We also observed an increase in the expression of genes involved in pyruvate uptake, TCA cycle, and oxidative phosphorylation, all of which indicated an increased reliance on energy-producing pathways. We then revealed that these nuclear and mitochondrial adaptations, which reduce the reliance on energy-consuming pathways and increase the reliance on energy-producing pathways, are epigenetically coupled through acetyl-CoA metabolism and ultimately increase baseline ATP levels. This increase in ATP would then allow the brain, a highly metabolic organ, to endure prolonged durations of energy deprivation encountered during cerebral ischemia.

Screening for Small-Molecule Modulators of Long Noncoding RNA-Protein Interactions Using AlphaScreen.

Long non-protein coding RNAs (lncRNAs) are an important class of molecules that help orchestrate key cellular events. Although their functional roles in cells are not well understood, thousands of lncRNAs and a number of possible mechanisms by which they act have been reported. LncRNAs can exert their regulatory function in cells by interacting with epigenetic enzymes. In this study, we developed a tool to study lncRNA-protein interactions for high-throughput screening of small-molecule modulators using AlphaScreen technology. We tested the interaction of two lncRNAs: brain-derived neurotrophic factor antisense (BDNF-AS) and Hox transcript antisense RNA (HOTAIR), with Enhancer of zeste homolog 2 (EZH2), a histone methyltransferase against a phytochemical library, to look for small-molecule inhibitors that can alter the expression of downstream target genes. We identified ellipticine, a compound that up-regulates BDNF transcription. Our study shows the feasibility of using high-throughput screening to identify modulators of lncRNA-protein interactions and paves the road for targeting lncRNAs that are dysregulated in human disorders using small-molecule therapies.