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1.
Ann Neurol ; 95(2): 260-273, 2024 Feb.
Article En | MEDLINE | ID: mdl-37801487

OBJECTIVE: Few studies have comprehensively examined how health and disease risk influence Alzheimer's disease (AD) biomarkers. The present study examined the association of 14 protein-based health indicators with plasma and neuroimaging biomarkers of AD and neurodegeneration. METHODS: In 706 cognitively normal adults, we examined whether 14 protein-based health indices (ie, SomaSignal® tests) were associated with concurrently measured plasma-based biomarkers of AD pathology (amyloid-ß [Aß]42/40 , tau phosphorylated at threonine-181 [pTau-181]), neuronal injury (neurofilament light chain [NfL]), and reactive astrogliosis (glial fibrillary acidic protein [GFAP]), brain volume, and cortical Aß and tau. In a separate cohort (n = 11,285), we examined whether protein-based health indicators associated with neurodegeneration also predict 25-year dementia risk. RESULTS: Greater protein-based risk for cardiovascular disease, heart failure mortality, and kidney disease was associated with lower Aß42/40 and higher pTau-181, NfL, and GFAP levels, even in individuals without cardiovascular or kidney disease. Proteomic indicators of body fat percentage, lean body mass, and visceral fat were associated with pTau-181, NfL, and GFAP, whereas resting energy rate was negatively associated with NfL and GFAP. Together, these health indicators predicted 12, 31, 50, and 33% of plasma Aß42/40 , pTau-181, NfL, and GFAP levels, respectively. Only protein-based measures of cardiovascular risk were associated with reduced regional brain volumes; these measures predicted 25-year dementia risk, even among those without clinically defined cardiovascular disease. INTERPRETATION: Subclinical peripheral health may influence AD and neurodegenerative disease processes and relevant biomarker levels, particularly NfL. Cardiovascular health, even in the absence of clinically defined disease, plays a central role in brain aging and dementia. ANN NEUROL 2024;95:260-273.


Alzheimer Disease , Cardiovascular Diseases , Kidney Diseases , Neurodegenerative Diseases , Adult , Humans , Alzheimer Disease/diagnostic imaging , Proteomics , Amyloid beta-Peptides , Biomarkers , tau Proteins
3.
Mol Psychiatry ; 28(4): 1599-1609, 2023 04.
Article En | MEDLINE | ID: mdl-36737481

Dysregulation of the immune system and dietary patterns that increase inflammation can increase the risk for cognitive decline, but the mechanisms by which inflammatory nutritional habits may affect the development of cognitive impairment in aging are not well understood. To determine whether plasma proteins linked to inflammatory diet predict future cognitive impairment, we applied high-throughput proteomic assays to plasma samples from a subset (n = 1528) of Women's Health Initiative Memory Study (WHIMS) participants (mean [SD] baseline age, 71.3 [SD 3.8] years). Results provide insights into how inflammatory nutritional patterns are associated with an immune-related proteome and identify a group of proteins (CXCL10, CCL3, HGF, OPG, CDCP1, NFATC3, ITGA11) related to future cognitive impairment over a 14-year follow-up period. Several of these inflammatory diet proteins were also associated with dementia risk across two external cohorts (ARIC, ESTHER), correlated with plasma biomarkers of Alzheimer's disease (AD) pathology (Aß42/40) and/or neurodegeneration (NfL), and related to an MRI-defined index of neurodegenerative brain atrophy in a separate cohort (BLSA). In addition to evaluating their biological relevance, assessing their potential role in AD, and characterizing their immune-tissue/cell-specific expression, we leveraged published RNA-seq results to examine how the in vitro regulation of genes encoding these candidate proteins might be altered in response to an immune challenge. Our findings indicate how dietary patterns with higher inflammatory potential relate to plasma levels of immunologically relevant proteins and highlight the molecular mediators which predict subsequent risk for age-related cognitive impairment.


Alzheimer Disease , Cognitive Dysfunction , Humans , Female , Aged , Proteomics , Alzheimer Disease/metabolism , Cognitive Dysfunction/psychology , Diet , Blood Proteins , Biomarkers , tau Proteins , Amyloid beta-Peptides , Antigens, Neoplasm , Cell Adhesion Molecules
4.
Sci Rep ; 12(1): 17147, 2022 10 13.
Article En | MEDLINE | ID: mdl-36229504

SomaScan is a high-throughput, aptamer-based proteomics assay designed for the simultaneous measurement of thousands of proteins with a broad range of endogenous concentrations. In its most current version, the 7k SomaScan assay v4.1 is capable of measuring 7288 human proteins. In this work, we present an extensive technical assessment of this platform based on a study of 2050 samples across 22 plates. Included in the study design were inter-plate technical duplicates from 102 human subjects, which allowed us to characterize different normalization procedures, evaluate assay variability by multiple analytical approaches, present signal-over-background metrics, and discuss potential specificity issues. By providing detailed performance assessments on this wide range of technical aspects, we aim for this work to serve as a valuable resource for the growing community of SomaScan users.


Proteomics , Biomarkers/metabolism , Humans , Proteomics/methods
5.
Neurobiol Aging ; 120: 34-42, 2022 12.
Article En | MEDLINE | ID: mdl-36115133

Although liver dysfunction has been implicated in Alzheimer's disease (AD), it remains unknown how liver disease may influence the trajectory of brain and cognitive changes in older adults. We related self-reported liver disease to longitudinal measures of brain structure and cognition, as well as baseline measures of plasma AD/neurodegeneration biomarkers in the Baltimore Longitudinal Study of Aging. Liver disease was identified using ICD-9 classification codes. Brain volume and cognition were assessed serially using 3T-MRI and a cognitive battery. 1008, 2157, and 780 participants were included in the MRI, cognitive, and plasma biomarker analysis, respectively. After adjustment for confounders, liver disease was associated with accelerated decline in total brain and white matter volume, but not total gray matter or AD signature region volume. Although liver disease showed no relationship with domain-specific cognitive decline or plasma biomarkers, participants with a history of hepatitis demonstrated accelerated decline in verbal fluency and elevated neurofilament light. Results suggest all-cause liver disease may accelerate brain volume loss but does not appear to promote AD-specific neurocognitive changes.


Alzheimer Disease , Cognitive Dysfunction , Liver Diseases , Neurodegenerative Diseases , Humans , Aged , Amyloid beta-Peptides , Longitudinal Studies , Cognitive Dysfunction/diagnostic imaging , Cognitive Dysfunction/etiology , Cognitive Dysfunction/psychology , Alzheimer Disease/psychology , Brain/diagnostic imaging , Biomarkers , Magnetic Resonance Imaging
6.
Cureus ; 10(7): e3058, 2018 Jul 27.
Article En | MEDLINE | ID: mdl-30280055

Ecstasy, a popular drug among the younger generation, the primary psychoactive component of which is 3,4-Methylenedioxymethamphetamine (MDMA), is rarely known to have acute psychiatric effects and when it does, it is usually short term. We describe a patient who presented to the emergency room in a psychotic state after using ecstasy recreationally. Given his aggressive behavior in the community and risk for self-harm, he was emergently hospitalized to ensure safety. He developed persistent psychotic symptoms (delusions) after one dose of recreational MDMA and the team had the opportunity to observe, monitor, and treat his psychosis. This case along with few other documented cases highlights the gaps in research about the chronic, persistent effects and long-term consequences of MDMA. It also suggests that neuropsychiatric symptoms may not be readily reversible after cessation of use. There is an emphasis on the need for physicians to inquire about MDMA use and include it in toxicology screenings and as a potential differential diagnosis.

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