Analysis of NINDS Health Disparities and Health Equity Research Portfolio, 2016-2020: Results and a Process for Transparency, Accuracy, and Reliability.

BACKGROUND AND OBJECTIVES: As detailed throughout this special issue, the National Institute of Neurological Disorders and Stroke (NINDS) recently undertook a strategic planning effort to guide the Institute's efforts and priorities in health disparities and health equity (HD/HE) research. One input into this effort was to conduct a 5-year longitudinal, in-depth analysis of NINDS-supported HD/HE research newly funded between the years 2016 and 2020. The goals of this analysis were to describe NINDS's portfolio according to consistent, contemporary definitions and HD/HE disciplinary theory. This required the development of a novel, systematic, and validated analysis protocol. The portfolio analysis was designed to inform the recommendations of an expert working group convened by the NINDS and internal efforts to support high-priority research, training, and infrastructure efforts. METHODS: NINDS staff developed and validated this HD/HE research portfolio analysis protocol. Ultimately, HD/HE projects were characterized by their disease focus, populations of study, the health equity determinant(s) addressed, and the type and phase of research being conducted. For all interventional research, there was further assessment of the type and setting of intervention delivery as well as utilization of evidence-based community engagement and intervention sustainability approaches. RESULTS: A total of 58 new HD/HE research projects were funded from 2016 to 2020. The results of the descriptive analysis described here help provide a holistic picture of NINDS's HD/HE research portfolio, revealing strengths and gaps in the portfolio as well as opportunities ripe for future investment. DISCUSSION: NINDS developed a standardized HD/HE research categorization methodology with imbedded quality control checks that is intended to be transparent, accurate, and reproducible. The results of this HD/HE research portfolio analysis will serve as a baseline from which to assess the success of NINDS's research investments going forward.

Cerebrospinal fluid, plasma, and saliva in the BioFIND study: Relationships among biomarkers and Parkinson's disease Features.

OBJECTIVE: Examine relationships among neurodegenerative biomarkers and PD motor and nonmotor symptoms. BACKGROUND: CSF alpha-synuclein is decreased in PD versus healthy controls, but whether plasma and saliva alpha-synuclein differentiate these groups is controversial. Correlations of alpha-synuclein among biofluids (CSF, plasma, saliva) or biomarkers (eg, beta-amyloid, tau [total, phosphorylated]) are not fully understood. The relationships of these biomarkers with PD clinical features remain unclear. METHODS: BioFIND, a cross-sectional, observational study, examines clinical and biomarker characteristics in moderate-advanced PD and matched healthy controls. We compared alpha-synuclein concentrations across diagnosis, biofluids, and CSF biomarkers. Correlations of CSF biomarkers and MDS-UPDRS, motor phenotype, MoCA, and rapid eye movement sleep behavior disorder questionnaire scores in PD were examined. RESULTS: CSF alpha-synuclein was lower in PD versus controls (P = .01), controlling for age, gender, and education. Plasma and saliva alpha-synuclein did not differ between PD and controls, and alpha-synuclein did not significantly correlate among biofluids. CSF beta-amyloid1-42 was lower in PD versus controls (P < .01), and correlated weakly with MoCA recall scores (r = 0.23, P = .02). CSF alpha-synuclein was lower in the postural instability/gait difficulty phenotype than other motor phenotypes (P < .01). No CSF biomarkers predicted or correlated with total motor or rapid eye movement sleep behavior disorder scores. CSF alpha-synuclein correlated with beta-amyloid1-42 , total-tau, and phosphorylated-tau (r = 0.41, 0.81, 0.43, respectively; Ps < .001). CONCLUSION: Lower CSF alpha-synuclein is associated with diagnosis and motor phenotype in moderate-advanced PD. Plasma and saliva alpha-synuclein neither correlate with CSF alpha-synuclein, nor distinguish PD from controls. CSF beta-amyloid1-42 remains a potential biomarker for cognitive impairment in PD. © 2017 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.

Parkinson's disease biomarkers: perspective from the NINDS Parkinson's Disease Biomarkers Program.

Biomarkers for Parkinson's disease (PD) diagnosis, prognostication and clinical trial cohort selection are an urgent need. While many promising markers have been discovered through the National Institute of Neurological Disorders and Stroke Parkinson's Disease Biomarker Program (PDBP) and other mechanisms, no single PD marker or set of markers are ready for clinical use. Here we discuss the current state of biomarker discovery for platforms relevant to PDBP. We discuss the role of the PDBP in PD biomarker identification and present guidelines to facilitate their development. These guidelines include: harmonizing procedures for biofluid acquisition and clinical assessments, replication of the most promising biomarkers, support and encouragement of publications that report negative findings, longitudinal follow-up of current cohorts including the PDBP, testing of wearable technologies to capture readouts between study visits and development of recently diagnosed (de novo) cohorts to foster identification of the earliest markers of disease onset.