Faculty Bibliography

Neurologic conditions are a leading cause of morbidity and mortality within the United States and worldwide. Brain health is a global concern, and the American Academy of Neurology's Brain Health Initiative promises to drive progress in this field over the next decades. Neurologists with detailed training and insight into brain function are uniquely positioned to apply emerging preventive health data to promote healthy brain development and maintain optimal brain function throughout the lifespan. The neurologist's role in promoting brain health is also vital in patients with active neurologic disease, in whom preventive measures may reduce recurrence or slow progression of disease and may enhance quality of life and overall function. In this Emerging Issues in Neurology article, we present the factors that may protect brain function and frame a practical approach to screening assessments and preventive interventions that neurology clinicians may consider to improve the brain health of patients at all life stages.

IMPORTANCE/UNASSIGNED:A substantial number of individuals worldwide experience long COVID, or post-COVID condition. Other postviral and autoimmune conditions have a female predominance, but whether the same is true for long COVID, especially within different subgroups, is uncertain. OBJECTIVE/UNASSIGNED:To evaluate sex differences in the risk of developing long COVID among adults with SARS-CoV-2 infection. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This cohort study used data from the National Institutes of Health (NIH) Researching COVID to Enhance Recovery (RECOVER)-Adult cohort, which consists of individuals enrolled in and prospectively followed up at 83 sites in 33 US states plus Washington, DC, and Puerto Rico. Data were examined from all participants enrolled between October 29, 2021, and July 5, 2024, who had a qualifying study visit 6 months or more after their initial SARS-CoV-2 infection. EXPOSURE/UNASSIGNED:Self-reported sex (male, female) assigned at birth. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Development of long COVID, measured using a self-reported symptom-based questionnaire and scoring guideline at the first study visit that occurred at least 6 months after infection. Propensity score matching was used to estimate risk ratios (RRs) and risk differences (95% CIs). The full model included demographic and clinical characteristics and social determinants of health, and the reduced model included only age, race, and ethnicity. RESULTS/UNASSIGNED:Among 12 276 participants who had experienced SARS-CoV-2 infection (8969 [73%] female; mean [SD] age at infection, 46 [15] years), female sex was associated with higher risk of long COVID in the primary full (RR, 1.31; 95% CI, 1.06-1.62) and reduced (RR, 1.44; 95% CI, 1.17-1.77) models. This finding was observed across all age groups except 18 to 39 years (RR, 1.04; 95% CI, 0.72-1.49). Female sex was associated with significantly higher overall long COVID risk when the analysis was restricted to nonpregnant participants (RR, 1.50; 95%: CI, 1.27-1.77). Among participants aged 40 to 54 years, the risk ratio was 1.42 (95% CI, 0.99-2.03) in menopausal female participants and 1.45 (95% CI, 1.15-1.83) in nonmenopausal female participants compared with male participants. CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this prospective cohort study of the NIH RECOVER-Adult cohort, female sex was associated with an increased risk of long COVID compared with male sex, and this association was age, pregnancy, and menopausal status dependent. These findings highlight the need to identify biological mechanisms contributing to sex specificity to facilitate risk stratification, targeted drug development, and improved management of long COVID.

IMPORTANCE/UNASSIGNED:Antiseizure medications (ASMs) are potential teratogens commonly prescribed for multiple indications. ASM fetal exposure can impair neurodevelopment. Folate improves pregnancy outcomes, but higher doses may pose risks. OBJECTIVES/UNASSIGNED:To compare the outcomes of 6-year-old children of women with epilepsy (WWE) vs those of healthy women (HW), and assess the association of outcomes to third-trimester ASM exposures. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:After informed consent, pregnant WWE and HW were enrolled from 2012 through 2016 in this prospective, multicenter, nonrandomized clinical trial. Children were assessed at 6 years of age (2019-2022). Participants were recruited from 20 US epilepsy centers. Study data were analyzed from August 2023 to August 2024. EXPOSURES/UNASSIGNED:Fetal ASM exposures. MAIN OUTCOMES AND MEASURES/UNASSIGNED:The a priori main neurodevelopmental outcome was the blindly assessed Verbal Index Score in 6-year-old children. The Verbal Index Score is calculated as the mean of the scores from the Word Definitions and Verbal Similarities subtests from the Differential Ability Scales, Expressive One-Word Picture Vocabulary Test, Phonological Processing, Comprehension of Instructions, and Sentence Repetition subtests from the Neuropsychological Assessment and Peabody Picture Vocabulary Test. The 2 primary analyses (1) compared children of WWE and HW using linear regression and (2) examined the outcomes of fetal exposure via ASM blood concentrations. Analyses were adjusted for multiple potential confounding factors. Other outcomes and folate exposure-related outcomes were assessed. RESULTS/UNASSIGNED:A total of 1123 pregnant women were screened, and 456 were enrolled (426 did not meet criteria, and 241 chose not to participate). A total of 298 children of WWE (mean [SD] age, 6.4 [4.2] years; 158 female [53.0%]; 140 male [47.0%]) vs 89 children of HW (mean [SD] age, 6.4 [4.2] years; 41 female [46.1%]; 48 male [53.9%]) did not differ on Verbal Index Score (parameter estimate, -0.6; 95% CI, -3.2 to 1.9; P = .64). Exposure-dependent outcomes differed across ASMs. Assessment of other ASMs was limited because 232 of 298 WWE (78%) were taking lamotrigine or levetiracetam alone or in combination. Folate supplementation during the first 12 weeks of pregnancy had positive associations with cognition and behavior with no signal for risks at higher folate doses. CONCLUSIONS AND RELEVANCE/UNASSIGNED:Results of this prospective nonrandomized clinical trial suggest that verbal abilities in children of WWE vs HW did not differ. Exposure-dependent outcomes of ASMs highlight the importance of dosing high enough to protect the mother and fetus from seizures but low enough to protect the fetus. Folate supplementation early in pregnancy including higher doses was associated with improved cognitive and behavioral outcomes. Additional research is needed for ASMs with inadequate information on fetal exposure risks. TRIAL REGISTRATION/UNASSIGNED:ClinicalTrials.gov Identifier: NCT01730170.

Hypoxic cancer cells resist many antineoplastic therapies and can seed recurrence^1,2. We previously found that either deficiency or inhibition of protein-tyrosine phosphatase (PTP1B) promotes human epidermal growth factor receptor 2-positive breast cancer cell death in hypoxia by activation of RNF213 (ref. ³), a large protein with multiple AAA-ATPase domains and two ubiquitin ligase domains (RING and RZ) implicated in Moyamoya disease, lipotoxicity and innate immunity⁴. Here we report that PTP1B and ABL1/2 reciprocally control RNF213 tyrosine phosphorylation and, consequently, its oligomerization and RZ domain activation. The RZ domain ubiquitylates and induces the degradation of the major NF-κB regulator CYLD/SPATA2. Decreased CYLD/SPATA2 levels lead to NF-κB activation and induction of the NLRP3 inflammasome which, together with hypoxia-induced endoplasmic reticulum stress, triggers pyroptotic cell death. Consistent with this model, CYLD deletion phenocopies, whereas NLRP3 deletion blocks, the effects of PTP1B deficiency on human epidermal growth factor receptor 2-positive breast cancer xenograft growth. Reconstitution studies with RNF213 mutants confirm that the RZ domain mediates tumour cell death. In concert, our results identify a unique, potentially targetable PTP1B-RNF213-CYLD-SPATA2 pathway critical for the control of inflammatory cell death in hypoxic tumours, provide new insights into RNF213 regulation and have potential implications for the pathogenesis of Moyamoya disease, inflammatory disorders and autoimmune disease.

INTRODUCTION/BACKGROUND:We evaluated whether higher Dietary Inflammatory Index (DII) scores were associated with increased incidence of all-cause dementia and Alzheimer's disease (AD) dementia over 22.3 years of follow-up in the community-based Framingham Heart Study Offspring cohort. METHODS:One thousand four hundred eighty-seven participants (mean ± standard deviation, age in years 69 ± 6) completed food frequency questionnaires (FFQs) and had incident all-cause dementia and AD surveillance data available. RESULTS:Two hundred forty-six participants developed all-cause dementia (including AD, n = 187) over a median follow-up time of 13.1 years. Higher DII scores, averaged across a maximum of three timepoints, were associated with an increased incidence of all-cause dementia and AD after adjustment for demographic, lifestyle, and clinical covariates (hazard ratio [HR] 1.21, 95% confidence interval [CI] 1.10-1.33, P < 0.001; HR 1.20, 95% CI: 1.07-1.34d, P = 0.001, respectively). DISCUSSION/CONCLUSIONS:Higher DII scores were associated with a higher risk of incident all-cause dementia and AD. Although these promising findings need to be replicated and further validated, our results suggest that diets that correlate with low DII scores may prevent late-life dementia. HIGHLIGHTS/CONCLUSIONS:Higher Dietary Inflammatory Index (DII) scores were associated with an increased incidence of all-cause dementia. Higher DII scores were associated with an increased incidence of Alzheimer's disease dementia. Diets that correlate with low DII scores may prevent late-life dementia.

BACKGROUND:Patients with disabilities face widespread barriers to accessing surgical care given inaccessible health systems, resulting in poor clinical outcomes and perpetuation of health inequities. One barrier is the lack of education, and therefore awareness, among trainees/providers, of the need for reasonable accommodations for surgical patients with disabilities. METHODS:We conducted a scoping review of the literature on the current state of disabilities curricula in medical education and graduate residency curriculum. RESULTS:While the literature does demonstrate a causal link between reasonable accommodation training and positive patient-provider relationships and improved clinical outcomes, in practice, disability-focused curricula are rare and often limited in time and to awareness-based didactic courses in medical education and surgical training. CONCLUSIONS:The absence of structured curricula to educate on anti-ableism and care for patients with disabilities promotes a system of structural "ableism." Expanding disability curricula for medical students and trainees may be an opportunity to intervene and promote better surgical care for all patients.

OBJECTIVES/OBJECTIVE:Late-onset epilepsy has the highest incidence among all age groups affected by epilepsy and often occurs in the absence of known clinical risk factors such as stroke and dementia. There is increasing evidence that brain changes contributing to epileptogenesis likely start years before disease onset, and we aim to relate cognitive and imaging correlates of subclinical brain injury to incident late-onset epilepsy in a large, community-based cohort. METHODS:We studied Offspring Cohort of the Framingham Heart Study participants 45 years or older, who were free of prevalent stroke, dementia, or epilepsy, and had neuropsychological (NP) evaluation and brain magnetic resonance imaging (MRI). Cognitive measures included Visual Reproduction Delayed Recall, Logical Memory Delayed Recall, Similarities, Trail Making Test B minus A (TrTB-TrTA; attention and executive function), and a global measure of cognition derived from principal component analysis. MRI measures included total cerebral brain volume, cortical gray matter volume (CGMV), white matter hyperintensity volume (WMHV), and hippocampal volume. Incident epilepsy was identified through a review of administrative data and medical records. Cox proportional hazards regression models were used for the analyses. All analyses were adjusted for age, sex, and educational level (cognition only). RESULTS:Among participants who underwent NP testing (n = 2349, 45.81% male), 31 incident epilepsy cases were identified during follow-up. Better performance on the TrTB-TrTA was associated with a lower risk of developing epilepsy (hazard ratio [HR] .25, 95% confidence interval [CI] .08-.73; p = .011). In the subgroup of participants with MRI (n = 2056, 46.01% male), 27 developed epilepsy. Higher WMHV was associated with higher epilepsy risk (HR 1.5, 95%CI 1.01-2.20; p = .042), but higher CGMV (HR .73, 95% CI .57-.93; p = .001) was associated with lower incidence of epilepsy. SIGNIFICANCE/CONCLUSIONS:Better performance on the (TrTB-TrTA), a measure of executive function and attention, and higher cortical volumes are associated with lower risk of developing epilepsy. Conversely, higher WMHV, a measure of occult vascular injury, increases the risk. Our study shows that non-invasive tests performed in mid-life may help identify people at risk for developing epilepsy later in life.

OBJECTIVE:The goal is to provide an overview of artificial intelligence (AI) and machine learning (ML) methodology and appraisal tailored to clinicians and researchers in the headache field to facilitate interdisciplinary communications and research. BACKGROUND:The application of AI to the study of headache and other healthcare challenges is growing rapidly. It is critical that these findings be accurately interpreted by headache specialists, but this can be difficult for non-AI specialists. METHODS:This paper is a narrative review of the fundamentals required to understand ML/AI headache research. Using guidance from key leaders in the field of headache medicine and AI, important references were reviewed and cited to provide a comprehensive overview of the terminology, methodology, applications, pitfalls, and bias of AI. RESULTS:We review how AI models are created, common model types, methods for evaluation, and examples of their application to headache medicine. We also highlight potential pitfalls relevant when consuming AI research, and discuss ethical issues of bias, privacy and abuse generated by AI. Additionally, we highlight recent related research from across headache-related applications. CONCLUSION/CONCLUSIONS:Many promising current and future applications of ML and AI exist in the field of headache medicine. Understanding the fundamentals of AI will allow readers to understand and critically appraise AI-related research findings in their proper context. This paper will increase the reader's comfort in consuming AI/ML-based research and will prepare them to think critically about related research developments.