A5026782387- Genetic Associations and Epidemiology
- Metabolomics and Mass Spectrometry Studies
- Alzheimer's disease research and treatments
- Bioinformatics and Genomic Networks
- Tryptophan and brain disorders
- Sphingolipid Metabolism and Signaling
- Healthcare Systems and Technology
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Adipokines, Inflammation, and Metabolic Diseases
- Cardiovascular Health and Risk Factors
- Obesity, Physical Activity, Diet
- Cardiovascular Health and Disease Prevention
- Cancer, Lipids, and Metabolism
- Adipose Tissue and Metabolism
- Epigenetics and DNA Methylation
- Ferroptosis and cancer prognosis
- Genetics, Aging, and Longevity in Model Organisms
- Blood Pressure and Hypertension Studies
- Drug Transport and Resistance Mechanisms
- Electronic Health Records Systems
- Cardiovascular Disease and Adiposity
- Mitochondrial Function and Pathology
- Advanced Proteomics Techniques and Applications
- Neuroscience and Neuropharmacology Research
- Diet and metabolism studies
Stanford University
2021-2025
University of Wisconsin–Madison
2017-2024
Palo Alto University
2024
VA Palo Alto Health Care System
2024
Stanford Medicine
2023
Tufts University
2017
Center for Rheumatology
2016
Abstract Current healthcare practices are reactive and use limited physiological clinical information, often collected months or years apart. Moreover, the discovery profiling of blood biomarkers in research settings constrained by geographical barriers, cost inconvenience in-clinic venepuncture, low sampling frequency depth molecular measurements. Here we describe a strategy for frequent capture analysis thousands metabolites, lipids, cytokines proteins 10 μl alongside information from...
Abstract The study of metabolomics and disease has enabled the discovery new risk factors, diagnostic markers, drug targets. For neurological psychiatric phenotypes, cerebrospinal fluid (CSF) is particular importance. However, CSF metabolome difficult to on a large scale due relative complexity procedure needed collect fluid. Here, we present metabolome-wide association (MWAS), which uses genetic metabolomic data impute metabolites into samples with genome-wide summary statistics. We conduct...
Abstract INTRODUCTION A hallmark of Alzheimer's disease (AD) is the aggregation proteins (amyloid beta [A] and hyperphosphorylated tau [T]) in brain, making cerebrospinal fluid (CSF) particular interest. METHODS We conducted a CSF proteome‐wide analysis among participants varying AT pathology ( n = 137 participants; 915 proteins) with nine biomarkers neurodegeneration neuroinflammation. RESULTS identified 61 significantly associated category P < 5.46 × 10 −5 ) 636 significant...
Objective South Asians (SAs) may possess a unique predisposition to insulin resistance (IR). We explored this possibility by investigating the relationship between ‘gold standard’ measures of adiposity, fitness, selected proteomic biomarkers, and sensitivity among cohort SAs Europeans (EURs). Methods A total 46 41 EURs completed ‘conventional’ (lifestyle questionnaires, standard physical exam) as well (dual energy X-ray absorptiometry scan, cardiopulmonary exercise test, suppression test)...
Recent genome-wide association studies (GWAS) have reported a genetic with Alzheimer's disease (AD) at the TNIP1/GPX3 locus, but mechanism is unclear.
Brain metabolism perturbation can contribute to traits and diseases. We conducted the first large-scale CSF brain genome-wide association studies, which identified 219 independent associations (59.8% novel) for 144 metabolites 36 (55.6% 34 metabolites. Most of novel signals (97.7% 70.0% in brain) were tissue specific. also integrated MWAS-FUSION approaches with Mendelian Randomization colocalization identify causal 27 human wellness phenotypes eight be (11 relationships). Low mannose level...
Background: Our understanding of the pathophysiology underlying Alzheimer’s disease (AD) has benefited from genomic analyses, including those that leverage polygenic risk score (PRS) models disease. The use functional annotation been able to improve power models. Objective: We sought annotations build tissue-specific AD PRS and study their relationship with its biomarkers. Methods: built 13 studied scores’ relationships diagnosis, cerebrospinal fluid (CSF) amyloid, CSF tau, other biomarkers...
Objective Recognizing high blood pressure ( BP ) as the most prevalent cardiovascular risk factor in patients with rheumatic diseases and all adults, experts recommend clinic protocols to improve control. The aim of this study was adapt implement a specialty protocol, “ Connect,” timely primary care follow‐up after measurements rheumatology clinics. Methods We examined Connect 6‐month preimplementation postimplementation quasi‐experimental design 24‐month 3 academic Medical assistants nurses...
Smoking increases cardiopulmonary and rheumatic disease risk, yet tobacco cessation intervention is rare in rheumatology clinics. This study aimed to implement a staff-driven protocol, Quit Connect, increase the rate of electronic referrals (e-referrals) free, state-run quit lines.We conducted quasi-experimental cohort Connect at 3 clinics comparing line from 4 baseline years during 6-month period. Nurses medical assistants were trained use 2 standardized health record (EHR) prompts check...
While risk stratification for atherosclerotic cardiovascular disease (ASCVD) is essential primary prevention, current clinical algorithms demonstrate variability and leave room further improvement. The plasma proteome holds promise as a future diagnostic prognostic tool that can accurately reflect complex human traits processes. We assessed the ability of proteins to predict ASCVD.
We previously reported significant correlations between a direct measure of insulin sensitivity (IS) and blood levels proteins measured using the Proximity Extension Assay (PEA) in two European cohorts. However, protein with IS within non-European populations, response to short-term interventions that improve IS, any causal associations have not yet been established.
Background Among patients with rheumatoid arthritis (RA), smoking increases risk of severe RA and pulmonary cardiovascular disease. Despite this, little is known about cessation counseling by rheumatologists. Objectives We examined predictors tobacco in who smoke including the effect perceived control. hypothesized that controlled would receive more according to competing demands model, which explains preventive care gaps occur as a result provider, patient, clinic factors. Methods This...
Background: Sphingomyelin (SM) levels have been associated with Alzheimer’s disease (AD), but the association direction has inconsistent and research on cerebrospinal fluid (CSF) SMs limited by sample size, breadth of examined, diversity biomarkers available. Objective: Here, we seek to build our understanding role SM metabolites in AD studying a broad range CSF AD, neurodegeneration, neuroinflammation. Methods: Leveraging two longitudinal cohorts metabolome-wide metabolomics data (n = 502),...
Abstract The lymphocyte toxicity assay ( LTA ) is a proposed surrogate marker of sulfonamide antibiotic hypersensitivity. In the , peripheral blood mononuclear cells PBMC s) undergo apoptosis more readily in hypersensitive versus tolerant patients when exposed to drug‐hydroxylamine metabolites vitro. purpose this study was identify key gene transcripts associated with increased cytotoxicity from sulfamethoxazole‐hydroxylamine human s . performed on 10 trimethoprim‐sulfamethoxazole HS and...
Abstract Proteomic analysis of cerebrospinal fluid (CSF) holds great promise in understanding the progression neurodegenerative diseases, including Alzheimer's disease (AD). As one primary reservoirs neuronal biomolecules, CSF provides a window into biochemical and cellular aspects neurological environment. can be drawn from living participants allowing potential alignment clinical changes with these markers. Using cutting‐edge mass spectrometry technologies, we perform streamlined proteomic...
Summary Advances in technology have allowed for the study of metabolomics context disease, enabling discovery new potential risk factors, diagnostic markers, and drug targets. For neurological psychiatric phenotypes, cerebrospinal fluid (CSF) is particular biomedical importance as it direct contact with brain spinal cord. However, CSF metabolome difficult to on a large scale due relative complexity procedure needed collect compared blood or urine studies. Here, we present metabolome-wide...
Introduction: Ultrasound carotid intima-media thickness (cIMT) is a well-established tool for improved cardiovascular risk stratification. The relative importance of traditional factors, genetic susceptibility, and plasma proteomics in predicting cIMT has not been previously explored among asymptomatic individuals. Hypothesis: We hypothesized that conventional atherosclerosis polygenic scores (PRSs), levels proteins each provide incremental value cIMT. Plasma proteomic profiles associated...
Background: The plasma proteome holds promise as a future diagnostic and prognostic tool that can accurately reflect complex human traits disease processes. We assessed the ability of proteins to predict incident atherosclerotic cardiovascular (ASCVD). Methods: relative clinical, genetic, high-throughput proteomic data associate with ASCVD in cohort 41650 UK Biobank participants (figure). Selected features for analysis included clinical variables such risk score (QRISK3) lipid levels, Olink...
The plasma proteome holds promise as a diagnostic and prognostic tool that can accurately reflect complex human traits disease processes. We assessed the ability of proteins to predict type 2 diabetes mellitus (T2DM) related traits.
Ultrasound derived carotid intima-media thickness (cIMT) is valuable for cardiovascular risk stratification. We assessed the relative importance of traditional atherosclerosis factors and plasma proteins in predicting cIMT measured nearly a decade later.