Lipid trajectories improve risk models for Alzheimer's disease and mild cognitive impairment.

In this retrospective, case-control study, we tested the hypothesis that blood-lipid concentrations during the decade prior to cognitive symptom onset can inform risk prediction for Alzheimer's disease (AD) and stable mild cognitive impairment (MCI). Clinically well-characterized cases were diagnosed using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria; MCI cases had been stable for ≥5 years; and controls were propensity matched to cases at symptom onset (MCI: 116 cases, 435 controls; AD: 215 cases, 483 controls). Participants were grouped based on (i) longitudinal trajectories and (ii) quintile of variability independent of the mean (VIM) for total cholesterol, HDL-C, low-density lipoprotein cholesterol, non-HDL-C, and ln(triglycerides).

The impact of gut microbiome and diet on post-acute sequelae of SARS-CoV-2 infection.

Long COVID, also known as Post COVID-19 condition by the World Health Organization or Post-Acute Sequelae of SARS-CoV-2 infection (PASC), is defined as the development of symptoms such as post-exertional malaise, dysgeusia, and partial or full anosmia three months after initial SARS-CoV-2 infection. The multisystem effects of PASC make it difficult to distinguish from its mimickers. Further, a comprehensive evaluation of the gut microbiome, nutrition, and PASC has yet to be studied.

An Integrative Migraine Polygenic Risk Score Is Associated with Age at Onset But Not Chronification.

: Genome-wide association studies (GWASs) demonstrate a complex genetic landscape for migraine risk. Migraine polygenic risk scores (PRSs) developed from GWAS data may have utility for predicting disease course. We analyzed the strength of association between an integrative migraine PRS and age at onset and chronification.

TICS-M scores in an oldest-old normative cohort identified by computable phenotype.

To (1) examine the distribution of Telephone Interview for Cognitive Status modified (TICS-m) scores in oldest-old individuals (age 85 and above) identified as cognitively healthy by a previously validated electronic health records-based computable phenotype (CP) and (2) to compare different cutoff scores for cognitive impairment in this population. CP identified 24,024 persons, 470 were contacted and 252 consented and completed the assessment. Associations of TICS-m score with age, sex, and educational categories (<10 years, 11-15 years, and >16 years) were examined.