Citations

Background: The National SCI Model Systems (SCIMS) Database was established in 1973 to study longitudinal data from persons with traumatic SCI (TSCI). The SCIMS provides an ideal platform to explore the feasibility of a parallel data collection effort to understand the characteristics of individuals with nontraumatic SCI (NTSCI). In the current data collection cycle (2021-2026), all SCIMS centers gathered data specific to NTSCI. Objectives: To (1) describe the demographic and injury-specific characteristics of participants with NTSCI and (2) assess neurological changes from admission to discharge. Methods: The International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) examination data of participants with NTSCI who were enrolled at an SCIMS center were extracted from the medical records at admission and discharge from inpatient rehabilitation. Data from 178 participants with NTSCI were analyzed. Results: Among the 93 participants who had adequate ISNCSCI data on admission, only 8.6% had neurological complete injuries. More participants had paraplegia ( n = 58, 62.4%) than tetraplegia ( n = 35, 37.6%). For participants with full ISNCSCI data at both admission and discharge ( n = 47), there were significant improvements in the lower extremity motor score and pinprick and light touch scores on discharge. Conclusion: On admission to acute rehabilitation, more people with NTSCI had paraplegia than tetraplegia, and neurological incomplete injuries were more common. People with NTSCI experienced significant improvement in ISNCSCI neurological variables by the time of discharge from rehabilitation.

Background: Physical inactivity is highly prevalent among individuals with spinal cord injury (SCI), contributing to secondary health conditions and reduced quality of life (QOL). Objectives: To examine the independent associations between adherence to SCI cardiorespiratory fitness guidelines and health and psychosocial outcomes, while controlling for relevant covariates. Method: We conducted a multisite, cross-sectional study of adults with traumatic SCI stratified by self-reported leisure-time physical activity: no activity (28%), some activity (41%), and met guidelines (26%). Multivariable regression models analyzed associations between physical activity (PA) group and outcomes of hospitalization, self-perceived health, resilience (SCI-QOL Resilience), pain, depression (PHQ-8), QOL (SWLS), and social integration (CHART-SF). Results: The study included 361 participants (no activity, 28%; some activity, 41%; met guidelines, 26%). Meeting PA guidelines was associated with better self-perceived health (odds ratio [OR] 2.79, P < .001) and higher resilience (β = 1.78, P = .04) compared to the No Activity group. However, hospitalization risk was unexpectedly higher for both the Some Activity (risk ratio [RR] 1.93, P = .005) and Met Guidelines (RR 1.75, P = .03) groups. After adjusting for covariates, PA was not significantly associated with pain, depression, QOL, or social integration; instead, higher income was consistently associated with better outcomes in these domains. Conclusion: Adherence to SCI exercise guidelines is associated with enhanced self-perceived health and resilience. However, PA alone was not associated with broader psychosocial outcomes in this model, where socioeconomic factors such as income appeared to play a significant explanatory role.

Background: The Spinal Cord Injury Model Systems (SCIMS) began studying traumatic SCI (TSCI) in 1970. The National Institute of Disability, Independent Living and Rehabilitation Research (NIDILRR) provided pilot funding during the 2021-2026 SCIMS funding cycle to perform an initial study of individuals with nontraumatic spinal cord injury (NTSCI). Objectives: To describe the demographic and etiological profiles and inpatient rehabilitation outcomes of the SCIMS NTSCI pilot cohort. Methods: This was a descriptive study of adults with NTSCI admitted to SCIMS centers who consented to medical records abstraction and completed survey questionnaires near the completion of inpatient rehabilitation. Results: One hundred eighty-seven people with NTSCI consented to participate and provided data. The etiology of patients’ NTSCI was degenerative vertebral causes ( n = 67), tumor-malignant ( n = 29), tumor-benign/unknown ( n = 16), vascular ( n = 28), infection ( n = 26), and other NTSCI causes ( n = 21). The average age was 59.2 years. Over 40% of the population was age 60-74 years. The population was 35% female, 59.5% non-Hispanic White, 21.6% non-Hispanic Black, and 11.4% Hispanic. Age, sex, race, and ethnicity distributions did not differ significantly across etiology groups. Only symptom onset time ( P = .002) and marital status ( P = .005) were significantly different between groups. Vascular disorders onset was less than a day in 60% of cases. Greater than 60% of tumor-malignant, vascular, and other NTSCI individuals were married or living with a partner. Conclusion: The US SCIMS program can recruit a population of NTSCI research participants that is consistent with previously published results. Ongoing study of NTSCI through the US SCIMS could provide important data akin to that available regarding TSCI.

Abstract Alzheimer’s disease (AD) emerges from multi-scale interactions between molecular pathology and disruptions in large-scale brain network dynamics. Understanding how these processes co-evolve and relate to disease stages is essential for advancing complex systems models of aging and AD, and for developing system-informed interventions. However, progress has been limited by a lack of large-scale longitudinal data. To address this, we examined the longitudinal relationship between subsystems of the default mode network (DMN) (posterior DMN, ventral DMN, anterior dorsal DMN) using task-free functional MRI (fMRI) and amyloid positron emission tomography (PET) imaging in a large longitudinal cohort spanning the clinico-biological spectrum of AD (n = 1,451; 2,763 time points) using mixed-effect models. We also assessed whether patterns of DMN connectivity predicted conversion to amyloid positivity, mild cognitive impairment (MCI), and dementia using Cox proportional hazards models. Our findings reveal a dynamic interplay between amyloid accumulation and connectivity within and between DMN subsystems, with both hyper- and hypoconnectivity emerging across DMN subsystems in association with increasing amyloid burden. Importantly, survival models showed that DMN connectivity patterns predicted conversion to critical stages of the disease, including not only conversion to MCI and dementia, but also conversion to amyloid positivity in otherwise clinically unimpaired individuals who were amyloid negative at baseline. These associations were independent of age, APOE4 status, sex, education, and in-scanner motion. These results support a model in which breakdowns in tightly regulated feedback loops governing DMN physiology represent a core systems-level pathophysiology of AD. Notably, this functional dyshomeostasis precedes detectable amyloidosis on imaging. Future studies should focus on the development of robust biomarkers of brain function that can be applied at the individual level, which could in turn help support the development of therapeutic approaches targeting system-level pathophysiology.

Chemotherapy-induced peripheral neuropathy (CIPN) is a dose-limiting toxicity affecting 30–40% of patients treated with neurotoxic chemotherapy. Sensory symptoms arise from injury to dorsal root ganglion (DRG) neurons and their axons; yet, the underlying mechanisms remain incompletely understood. While human induced pluripotent stem cell (iPSC)-derived sensory neuron (iSN) monolayers have provided mechanistic insight, they lack the three-dimensional architecture and cellular heterogeneity of native DRG tissue. Here, we generated human iPSC-derived DRG organoids (iDRGOs) containing mixed neuronal and peripheral glial populations and established a quantitative neurite outgrowth assay to model chemotherapy-induced neurotoxicity in a 3D context. iDRGOs from three healthy donors were exposed to bortezomib, vincristine, or paclitaxel. All three drugs caused dose-dependent neurite outgrowth impairment without significant short-term changes in organoid size, consistent with early axonal injury. Vincristine reduced MAP2 levels when normalized to total protein, whereas bortezomib and paclitaxel showed divergent microtubule-associated responses compared to monolayer cultures. The developmental stage significantly influenced the baseline neurite outgrowth, highlighting the need for age standardization. These results establish iDRGOs as a physiologically relevant human platform that complements monolayer models for mechanistic studies and therapeutic screening in CIPN.

Abstract Background Metabolic dysfunction–associated steatotic liver disease (MASLD) is increasingly recognized among people with human immunodeficiency virus (PWH), which is likely related to metabolic alterations and fat redistribution. Anthropometric measures such as body mass index (BMI) and waist circumference (WC) are commonly used for assessing metabolic risk. However, their predictive accuracy for MASLD in this population remains uncertain. Method This multicenter cross-sectional study enrolled adults with HIV who underwent transient elastography with controlled attenuation parameter (CAP) measurement. Anthropometric and metabolic indices, including BMI, WC, hip circumference, waist-to-hip ratio (WHR), and visceral adiposity index (VAI), were collected from the study participants. Receiver operating characteristic (ROC) curve analyses were performed to determine the diagnostic performance of these indices for detecting hepatic steatosis, defined as CAP value of ≥248 dB/m. Analyses were stratified by sex assigned at birth. Results Altogether, 256 participants were included. WC demonstrated the numerically highest discrimination for CAP-defined steatosis (area under the ROC curve 0.769), followed by BMI and hip circumference, whereas WHR and VAI showed weaker performance. In sex-stratified analyses, WC remained the numerically highest-performing measure among males, whereas BMI, WC, hip circumference, and VAI showed similar discrimination among females. Conclusions Simple anthropometric measures, particularly WC, show fair ability to discriminate CAP-defined hepatic steatosis in PWH and may facilitate targeted fatty liver screening in routine HIV care.

Abstract Alzheimer's disease (AD) continues to pose a major public health challenge. Since its launch in 2004, the Alzheimer's Disease Neuroimaging Initiative (ADNI) has played a pivotal role in advancing the field by providing a comprehensive, open‐access, longitudinal dataset that integrates neuroimaging, biomarker, genetic, and clinical data related to AD. We used standard literature search methods to identify ∼1830 publications from 2023 to mid‐2025 that used ADNI data or samples. This review highlights key ADNI studies with direct clinical applications. We describe how these have impacted the development and validation of plasma biomarkers, improved clinical trials, assessed AD therapies, and developed methods for diagnosis and prediction using clinical, fluid, and imaging biomarkers. These contributions are underlain by an improved understanding of biological mechanisms of disease progression in AD and highlight ADNI's central role in advancing translational research and accelerating progress toward more effective, individualized care for patients with AD.

Abstract Gastrointestinal (GI) involvement is a clinically relevant but undercharacterized manifestation of systemic light chain amyloidosis (AL). We aimed to define the clinical spectrum, histologic patterns, and outcomes of symptomatic GI involvement in AL. We retrospectively analyzed 4396 patients with AL from 2010 to 2024, of whom 521 (11.9%) had provider-attributed symptomatic GI involvement; 66% had biopsy-proven GI AL. Symptoms most commonly included early satiety (61%), bowel irregularities (58%), nausea (35%), abdominal pain (28%), and dysphagia (23%). Autonomic neuropathy was frequent (43% clinician attributed; 23% via autonomic reflex testing) and contributed to dysmotility-related symptoms, often without GI biopsy positivity. Among 747 GI biopsies, mucosal infiltration predominated (71%) and was associated with bleeding (22% vs 9%), cachexia, and inferior survival, whereas vascular involvement was associated with lower bleeding risk. Combined involvement of mucosa, submucosa, and vessels conferred the worst prognosis (median overall survival [mOS], 2.4 vs 5.1 vs 7.8 years for 3 vs 2 vs 1 layer); mOS was 6.8 years and was primarily driven by cardiac stage and hematologic response (very good partial response [VGPR] or better: hazard ratio, 0.20; 95% CI 0.13-0.32), with more favorable outcomes in patients with isolated GI involvement. Cachexia and persistent diarrhea were the main drivers of morbidity, need for nutritional support, and GI-related mortality (odds ratio, 2.7 for the combined end point). GI bleeding rarely recurred after achieving VGPR or better. Overall, mucosal involvement, cachexia, and dysmotility define clinically meaningful GI AL and support systematic assessment of autonomic dysfunction as well as evaluation of the need for nutritional support as a GI-specific end point for AL trials.

Objective Immunohistochemically (IHC) measured transactive response DNA‐binding protein 43 (TDP‐43) inclusions are observed in Alzheimer's disease (AD) and are associated with medial temporal lobe atrophy. Accumulation of cryptic exons occurs in AD in response to TDP‐43 pathology. We aimed to assess relationships between IHC and biochemically measured insoluble TDP‐43 and cryptic exons and assess associations with hippocampal and amygdala volume loss and atrophy rates on magnetic resonance imaging (MRI). Methods Eighty‐one neuropathologically diagnosed AD cases were analyzed. For biochemistry, insoluble TDP‐43 was quantified using a Meso‐scale discovery (MSD) immunoassay. IHC‐TDP burden was quantified with digital histopathology. Cryptic RNAs were assessed via quantitative real‐time polymerase chain reaction (qRT‐PCR). Thirty‐eight cases had serial brain MRI. Hippocampal and amygdala volumes were calculated using FreeSurfer. Regression models were used to investigate associations among IHC‐TDP‐43 status/burden, MSD‐TDP status/levels, cryptic RNAs, and hippocampal and amygdala volumes and atrophy rates. Results IHC‐TDP(+) cases exhibited elevated levels of MSD‐TDP and cryptic RNAs ( KCNQ2 , STMN2 , and UNC13A ) and increased MSD‐TDP levels were associated with increased cryptic RNA levels, in the hippocampus and amygdala. IHC‐TDP(+) cases had smaller hippocampal and amygdala volumes compared to IHC‐TDP(−) cases. MSD‐TDP(+) cases had smaller hippocampal volumes and faster amygdala rates of atrophy compared with MSD‐TDP(−) cases. Higher KCNQ2 and UNC13A levels were associated with smaller amygdala volumes. Interpretation MSD‐TDP level is a reliable surrogate for IHC‐based TDP‐43 status. Both TDP‐43 and cryptic RNA levels are associated with reduced medial temporal volumes, suggesting cryptic exons may be playing a role in brain volume loss in AD. ANN NEUROL 2026;100:193–205