Citations

Abstract Introduction Bipolar disorder (BD) has been associated with increased medical burden and accelerated biological aging. Long non-coding RNAs (lncRNAs) regulate molecular pathways related to cellular senescence, inflammation, and telomere maintenance, which are implicated in both BD and aging. This study examined whether aging-related lncRNA expression reflects familial vulnerability or illness-specific effects, and whether childhood trauma and lifestyle factors modulate these signatures within a gene–environment framework. Methods In this cross-sectional study, expression levels of aging-related lncRNAs, including Antisense Non-coding RNA in the INK4 Locus (ANRIL), HOX Transcript Antisense Intergenic RNA (HOTAIR), Nuclear Enriched Abundant Transcript 1 (NEAT1), Taurine Upregulated Gene 1 (TUG1), Metastasis-Associated Lung Adenocarcinoma Transcript 1 (MALAT1), Growth Arrest-Specific 5 (GAS5), and Telomerase RNA Component (TERC), were measured in peripheral blood mononuclear cells (PBMCs) from individuals with bipolar disorder (BD) (n=68), siblings without BD diagnosis (SIB) (n=54), and healthy controls (HC) (n=70) using quantitative reverse transcription polymerase chain reaction (RT-qPCR). Childhood trauma and lifestyle were assessed using the Childhood Trauma Questionnaire (CTQ) and the Healthy Lifestyle Profile II (HPLP-II). Principal component analysis generated a composite aging-related lncRNA factor. Results At the individual transcript level, NEAT1 and TERC were elevated, whereas GAS5 was reduced, in both BD and SIB relative to HC. The aging-related lncRNA composite score was higher in BD and SIB than in HC (F = 7.315, p = 0.001). Familial liability to BD (presence vs. absence of familial liability ) showed a significant main effect on the composite score (F(1,182)=8.18, p=0.005) and interacted with childhood trauma (F(1,182)=10.14, p=0.002). In multivariable models, total CTQ and physical neglect were independently associated with lower composite scores, while familial liability remained a positive predictor (all p<0.001). Conclusions Aging-related lncRNA alterations mark familial vulnerability to BD and are shaped by childhood trauma within a gene–environment interaction framework.

ABSTRACT Background and Purpose Radiomics extracts imaging features that may not be detectable through conventional volumetric analyses. Given their role in multiple sclerosis (MS), we applied radiomics to thalamic nuclei and examined their associations with cognitive performance. Methods A total of 601 individuals were included (342 people with MS [PwMS] from two cohorts and 259 healthy controls [HC]). Radiomic features (RF) and volumes were extracted from the whole thalamus, five thalamic nuclei, and the putamen segmented on three‐dimensional T1‐weighted images. Cognitive performance was assessed using the Symbol Digit Modalities Test (SDMT) and Paced Auditory Serial Addition Test (PASAT) in PwMS and the Digit Symbol Substitution Test (DSST) in HC. In the first MS cohort, multivariate linear regression in a discovery set ( N = 103) identified thalamus‐derived RF associated with SDMT, which were retested in a replication set ( N = 63). Their associations with PASAT in a second MS cohort ( N = 176) and DSST in HC were also evaluated. We then tested whether the same RFs, when extracted from the putamen, was associated with SDMT. Least Absolute Shrinkage and Selection Operator (LASSO) models assessed the combined predictive value of RF and volumes. Results Twenty‐eight RF–region of interest (ROI) pairs were associated with SDMT in the replication set (false discovery rate [FDR] < 0.05). Of these, 24 were also associated with PASAT (FDR ≤ 0.03), and 2 with DSST. Only ventral nuclei volume showed replicated associations among volumetrics. Only four putamen‐derived pairs were associated with SDMT (FDR = 0.04). LASSO results confirmed RF outperformed volumes. Conclusion RF extracted from the thalamus is strongly associated with cognitive performance in PwMS, outperforming volumetric measures and supporting their potential as sensitive imaging biomarkers.

Abstract Background and Objectives Radiomics extracts imaging features that may not be detectable through conventional volumetric analyses. Given their role in multiple sclerosis (MS), we applied radiomics to thalamic nuclei and examined their associations with cognitive performance. Methods A total of 601 individuals were included (342 people with MS-PwMS from two cohorts, and 259 healthy controls-HC). Radiomic features (RF) and volumes were extracted from the whole thalamus, five thalamic nuclei, and the putamen segmented on 3D T1-weighted images. Cognitive performance was assessed using the Symbol Digit Modalities Test (SDMT) and Paced Auditory Serial Addition Test (PASAT) in PwMS, and the Digit Symbol Substitution Test (DSST) in HC. In the first MS cohort, multivariate linear regression in a discovery set (N=103) identified thalamus-derived RF associated with SDMT, which were retested in a replication set (N=63). Their associations with PASAT in a second MS cohort (N=176) and DSST in HC were also evaluated. We then tested whether the same RF, when extracted from the putamen, were associated with SDMT. LASSO models assessed the combined predictive value of RF and volumes. Figure 2 presents an overview of the involvement of different cohorts in the study, outlining the specific study objectives and the statistical analysis approaches employed. Results Twenty-eight RF–ROI pairs were associated with SDMT in the replication set (FDR<0.05). Of these, 24 were also associated with PASAT (FDR≤0.03), and 2 with DSST. Only ventral nuclei volume showed replicated associations among volumetrics. Only 4 putamen-derived pairs were associated with SDMT (FDR=0.04). LASSO results confirmed RF outperformed volumes. Discussion RF extracted from the thalamus are strongly associated with cognitive performance in PwMS, outperforming volumetric measures and supporting their potential as sensitive imaging biomarkers.

Abstract A GGGGCC (G4C2) hexanucleotide repeat expansion in C9ORF72 causes amyotrophic lateral sclerosis and frontotemporal dementia (C9ALS/FTD), while a CGG trinucleotide repeat expansion in FMR1 leads to the neurodegenerative disorder Fragile X-associated tremor/ataxia syndrome (FXTAS). These GC-rich repeats form RNA secondary structures that support repeat-associated non-AUG (RAN) translation of toxic proteins that contribute to disease pathogenesis. Here we assessed whether these same repeats might trigger stalling and interfere with translational elongation. We find that depletion of ribosome-associated quality control (RQC) factors NEMF, LTN1 and ANKZF1 markedly boost RAN translation product accumulation from both G4C2 and CGG repeats while overexpression of these factors reduces RAN production in both reporter assays and C9ALS/FTD patient iPSC-derived neurons. We also detected partially made products from both G4C2 and CGG repeats whose abundance increased with RQC factor depletion. Repeat RNA sequence, rather than amino acid content, is central to the impact of RQC factor depletion on RAN translation—suggesting a role for RNA secondary structure in these processes. Together, these findings suggest that ribosomal stalling and RQC pathway activation during RAN translation inhibits the generation of toxic RAN products. We propose augmenting RQC activity as a therapeutic strategy in GC-rich repeat expansion disorders.