Common Medical Comorbidities, Demographic Factors and Levels of Plasma Biomarkers of Alzheimer’s Disease and Neurodegeneration in Black/African American Older Adults
Emerging evidence suggests that systemic physiological factors may influence plasma biomarker concentrations of Alzheimer’s disease (AD) and related neurodegenerative processes, potentially affecting their specificity for central nervous system pathology. This study examined the relationship of demographic factors and medical comorbidities with plasma biomarkers of AD and neurodegeneration in a community-dwelling cohort of Black/African American (B/AA) older adults (N = 141). Participants underwent plasma assessment of phosphorylated tau at threonine 217 (p-Tau217), glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL). Results showed associations between plasma p-Tau217 and amyloid PET positivity, and significant intercorrelations among p-Tau217, GFAP, and NfL. Stepwise regression models incorporated demographics, amyloid PET status, and laboratory measures of renal, metabolic, and lipid function as predictors for each biomarker. p-Tau217 was primarily predicted by amyloid PET and renal function; GFAP by age and sex; and NfL by renal function, age, and sex. Findings indicate plasma biomarker concentrations in B/AA older adults reflect both central AD-related pathology and systemic physiological factors, particularly renal function, and demographic influences. Results underscore the importance of accounting for comorbid medical conditions and demographic characteristics when interpreting blood-based biomarkers and highlight the need for comprehensive medical phenotyping to improve diagnostic specificity and clinical utility.
Vascular calcification is a strong predictor of cardiovascular mortality and lacks effective treatment. The transformation of vascular smooth muscle cells (VSMCs) into osteoblast-like phenotypes is a key driver of calcification. This study identifies a regulatory role for Hyaluronan (HA) in VSMC osteogenic differentiation and arterial calcification. Human aortic VSMCs stimulated with high phosphate and/or pro-inflammatory cytokines (IL6 and TGF-β1) exhibited increased RUNX2, alkaline phosphatase and osteopontin expression, along with reduced contractility and elevated calcium deposition. This corresponded with reduced HA deposition and downregulation of HA synthase enzymes (HAS1, HAS2), Hyaluronidase enzymes (Hyal1), and HA binding proteins (CD44, TSG-6), whilst HAS3 and versican were upregulated. Comparable alterations in HA and protein expression were observed in an in vivo model of arterial calcification using vitamin K-deficient warfarin-fed mice. Pharmacological inhibition of HA synthesis, enzyme-mediated HA degradation and siRNA/plasmid modulation of HAS isoenzymes demonstrated a possible functional link between HA regulation and VSMC osteogenic differentiation. This study establishes HA and its associated binding proteins as key regulators of arterial calcification, highlighting a novel pathway for potential therapeutic intervention.
Lung Auscultation for Detecting Interstitial Lung Disease in Patients with Newly Diagnosed Systemic Sclerosis: Retrospective Cohort Study
Background/Objectives: Interstitial lung disease (ILD) occurs commonly in systemic sclerosis (SSc) and is the leading cause of mortality. There are limited data on the accuracy of lung auscultation in identifying the presence of ILD in patients with SSc. Methods: We retrospectively identified patients with newly diagnosed SSc who had documented lung auscultation findings and chest high-resolution computed tomography (HRCT) available for review. Diagnoses were made by rheumatologists at Mayo Clinic, Rochester, Minnesota, USA over a 4-year period. Pulmonary function measurements included lung volumes, spirometry, and single-breath diffusing capacity. Results: Among 151 patients with SSc (median age, 62 years), 72.2% were female and 55.0% were never smokers. Limited cutaneous SSc was the most common phenotype (67.3%). Seventy (46.4%) patients were evaluated by pulmonologists. There was evidence of ILD by HRCT in 69 patients (45.7%); the most common pattern of ILD was fibrotic nonspecific interstitial pneumonia (59.2%). Respiratory symptoms were present in 46.4% of those with ILD compared to 15.9% among those without. The sensitivity and specificity for crackles heard by rheumatologists in detecting ILD were 50.7% and 97.6%, respectively; for pulmonologists, 71.4% and 85.7%, respectively. Presence of crackles was associated with high positive predictive values (94.6% for rheumatologists vs. 92.1% for pulmonologists, respectively); negative predictive values were moderate (70.2% vs. 56.3%, respectively). Crackles correlated with lower pulmonary function measures but did not differ across ILD patterns. Conclusions: Detection of crackles on lung auscultation appears to be a specific and moderately sensitive indicator of ILD (often asymptomatic) in patients with newly diagnosed SSc. The presence of crackles correlates with worse pulmonary function but may be absent in early ILD.
Characterisation of the Novel
HLA‐A*03:535
Allele by Next Generation Sequencing and Oxford Nanopore Sequencing
ABSTRACT Aim The supply of donor kidneys (living and deceased) has fallen far behind the need, while the number of patients with end stage kidney disease continues to rise, increasing their risk of cardiovascular mortality. Kidney transplant candidates frequently exhibit large artery calcification, a major contributor to cardiovascular death. This study aimed to evaluate the relationship between abdominal arterial calcification (AAC) and survival in patients awaiting kidney transplant. Methods We modified the coronary calcium scoring method (Modified Agatston Method) and applied it to quantify AAC. This retrospective study included all adult patients ( N = 4184) listed for kidney transplant from 2005 to 2023 who had undergone abdominal computed tomography (CT) scans. Patients were categorised into two groups: those who died while on the waiting list (DWL) and those who survived (SWL). Results Among 4184 candidates, 446 (10.7%) died while on the waiting list, and 3738 (89.3%) survived to transplant or study end. Patients in the DWL group had significantly higher AAC scores across all vascular sites. The median total AAC score was 3605.8 (IQR 780.1–9017.3) in the DWL group versus 940.1 (IQR 49.2–4915.0) in the SWL group. Each 1000‐point increase in total AAC was associated with a 5.1% increase in mortality risk (HR 1.051; p < 0.001). An AAC cutoff of > 1769 correlated with reduced 5‐year survival (45.4% vs. 77.4%, p < 0.001). Conclusion AAC scoring on non‐contrast abdominal CT represents a noninvasive biomarker of mortality in kidney transplant waitlist patients and may enhance risk stratification and personalised care.
Transformer‐based synthesis of 7 Tesla‐like T1 contrast from routine clinical magnetic resonance imaging
Abstract Background Ultra‐high‐field 7 Tesla (7T) magnetic resonance imaging (MRI) provides improved resolution and signal‐to‐noise ratio (SNR) over standard clinical field strengths (1.5T, 3T). However, 7T scanners are costly, scarce, and introduce additional challenges such as susceptibility artifacts. Purpose We propose an efficient transformer‐based model (7T‐Restormer) to synthesize 7T‐like MRI (quantitative T1 MP2RAGE maps) from routine 1.5T or 3T T1‐weighted (T1W) images. Methods The proposed method leverages an efficient restoration transformer backbone and spatial attention layers to capture long‐range dependencies and generate high‐quality 7T‐like images. Our model was validated on an institutional dataset, comprised of 35 1.5T and 108 3T T1w MRI paired with corresponding 7T T1 maps of patients with confirmed multiple sclerosis (MS). A total of 141 patient cases (32 128 slices) were randomly divided into 105 (25 1.5T and 80 3T) training cases (19 204 slices), 19 (5 1.5T and 14 3T) validation cases (3476 slices), and 17 (5 1.5T and 12 3T) test cases (3145 slices). The synthetic 7T T1 maps were evaluated by comparing their similarity to the ground truth volumes using peak signal‐to‐noise ratio (PSNR), structural similarity index measure (SSIM), and normalized mean squared error (NMSE), and were compared against ResViT and ResShift. In addition, a blinded reader study was performed in which three clinicians scored the diagnostic image quality of each method on a 5‐point Likert scale (1 = non‐acceptable, 5 = excellent). Statistical significance ( α = 0.05) was assessed using two‐sided paired t ‐tests with Holm correction for multiple comparisons and Wilcoxon signed‐rank tests with Holm correction for reader scores. Effect sizes (Cohen's for paired data) were also computed to quantify practical significance. We interpreted and as small, medium, and large effects. Results For 1.5T inputs, 7T‐Restormer achieved an NMSE of 0.018 ± 0.003, PSNR of 25.0 ± 0.6 dB, and SSIM of 0.870 ± 0.019; for 3T inputs, the corresponding values were 0.019 ± 0.006, 24.5 ± 1.2 dB, and 0.874 ± 0.027. Across both field strengths, 7T‐Restormer provided the lowest NMSE and highest PSNR and SSIM among the three methods, reducing NMSE by approximately 5% and 25% relative to ResShift and ResViT at 1.5T and by 14% and 24% at 3T, respectively, and increasing PSNR by 0.5–1.5 dB (Holm‐adjusted p < 0.05, paired Cohen's = 1.37–6.84). Training on mixed 1.5T+3T data improved performance for 1.5T inputs compared with 1.5T‐only training (e.g., NMSE 0.018 vs. 0.019; p = 0.001, ), without degrading performance for 3T inputs ( p = 0.630, for NMSE). In the blinded reader study, 7T‐Restormer received higher diagnostic quality scores (3.50 ± 0.28) than ResShift (3.00 ± 0.27) and ResViT (2.33 ± 0.27), corresponding to mean improvements of 0.5–1.2 points on the 5‐point scale (Holm‐adjusted p = 0.014 and 0.004; paired Cohen's and 3.24, respectively). Conclusion We propose a novel method for predicting quantitative 7T MP2RAGE maps from 1.5T and 3T T1W scans with higher quality than existing state‐of‐the‐art methods. Future development and application of our approach may enhance diagnostic accuracy, treatment planning, and facilitate downstream tasks by making the benefits of 7T MRI more accessible to standard clinical workflows.
Editorial: Enhancing sports injury management through medical-engineering innovations
ABSTRACT Reversion mutations (REVs) restore homologous recombination repair (HRR) and confer resistance to PARP inhibitors (PARPi) in HR-deficient cancers. Yet, their prevalence, mechanisms, and biological constraints remain undefined. We analyzed genomic profiling of 609,464 tissue and liquid biopsy samples across multiple cancer types to delineate the pan-cancer landscape of REVs. REVs were identified in eight HRR genes, most frequently BRCA2 and BRCA1 and notably never in ATM or CHEK2 . REVs exclusively impacted truncating pathogenic variants, predominantly through large in-frame and exon-level deletions, associated with repetitive sequences. Conserved functional domains are relatively depleted of REVs. Structural modeling and functional studies support that exon-level deletions preserve critical domain architecture and confer PARPi resistance. The study establishes HRR reversion as a structurally permissive, yet evolutionarily constrained, resistance mechanism with implications on response, monitoring, and therapeutic strategy. One Sentence Summary Homologous recombination reversion evolves through structurally tolerated, microhomology-driven alterations that restore DNA repair under therapeutic selection across cancers.