Publications by authors named "Daniel H Katz"

Article Synopsis
  • Researchers studied plasma proteomic profiles linked to subclinical mutations in blood cells, particularly focusing on clonal hematopoiesis of indeterminate potential (CHIP) and its connection to various health outcomes, including coronary artery disease (CAD).
  • The study involved a large, diverse group of participants and identified a significant number of unique proteins associated with key driver genes, showing differences based on genetics, sex, and race.
  • Methods like Mendelian randomization and mouse model tests helped clarify the causal effects of these proteins, revealing shared plasma proteins between CHIP and CAD that could inform future clinical insights.
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BACKGROUNDMost GWAS of plasma proteomics have focused on White individuals of European ancestry, limiting biological insight from other ancestry-enriched protein quantitative loci (pQTL).METHODSWe conducted a discovery GWAS of approximately 3,000 plasma proteins measured by the antibody-based Olink platform in 1,054 Black adults from the Jackson Heart Study (JHS) and validated our findings in the Multi-Ethnic Study of Atherosclerosis (MESA). The genetic architecture of identified pQTLs was further explored through fine mapping and admixture association analysis.

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Physical activity plays a fundamental role in human health and disease. Exercise has been shown to improve a wide variety of disease states, and the scientific community is committed to understanding the precise molecular mechanisms that underlie the exquisite benefits. This review provides an overview of molecular responses to acute exercise and chronic training, particularly energy mobilization and generation, structural adaptation, inflammation, and immune regulation.

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Background: Untreated multivessel disease (MVD) in acute myocardial infarction (AMI) has been linked to a higher risk of recurrent ischemia and death within one year . Current guidelines recommend percutaneous coronary intervention (PCI) for significant non-infarct artery (-ies) (non-IRA) stenosis in hemodynamically stable AMI patients with MVD, either during or after successful primary PCI, within 45-days. However, deciding the timing of revascularization for non-IRA in cases of MVD is uncertain.

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Background: Transcatheter Aortic Valve Replacement (TAVR) is the treatment of choice in patients with severe aortic stenosis. Transcarotid (TCa) or Trans-axillary/subclavian (TAx/Sc) are safer and less invasive non-femoral approaches, where transfemoral access is difficult or impossible to obtain.

Methods: This meta-analysis was performed based on PRISMA guidelines after registering in PROSPERO (CRD42023482842).

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Submaximal exercise capacity is an indicator of cardiorespiratory fitness with clinical and public health implications. Submaximal exercise capacity and its response to exercise programs are characterized by heritability levels of about 40%. Using physical working capacity (power output) at a heart rate of 150 beats/min (PWC150) as an indicator of submaximal exercise capacity in subjects of the HERITAGE Family Study, we have undertaken multi-omics and in silico explorations of the underlying biology of PWC150 and its response to 20 wk of endurance training.

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Although many novel gene-metabolite and gene-protein associations have been identified using high-throughput biochemical profiling, systematic studies that leverage human genetics to illuminate causal relationships between circulating proteins and metabolites are lacking. Here, we performed protein-metabolite association studies in 3,626 plasma samples from three human cohorts. We detected 171,800 significant protein-metabolite pairwise correlations between 1,265 proteins and 365 metabolites, including established relationships in metabolic and signaling pathways such as the protein thyroxine-binding globulin and the metabolite thyroxine, as well as thousands of new findings.

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Regular exercise leads to widespread salutary effects, and there is increasing recognition that exercise-stimulated circulating proteins can impart health benefits. Despite this, limited data exist regarding the plasma proteomic changes that occur in response to regular exercise. Here, we perform large-scale plasma proteomic profiling in 654 healthy human study participants before and after a supervised, 20-week endurance exercise training intervention.

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There is increasing evidence that HFpEF is a heterogeneous clinical entity and distinct molecular pathways may contribute to pathophysiology. Leveraging unbiased proteomics to identify novel biomarkers, this study seeks to understand the underlying molecular mechanisms of HFpEF. The discovery cohort consisted of HFpEF cases and non-HF controls from the CATHGEN study (N = 176); the validation cohort consisted of participants from the TECOS trial of patients with diabetes (N = 109).

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Nontargeted metabolomics methods have increased potential to identify new disease biomarkers, but assessments of the additive information provided in large human cohorts by these less biased techniques are limited. To diversify our knowledge of diabetes-associated metabolites, we leveraged a method that measures 305 targeted or "known" and 2,342 nontargeted or "unknown" compounds in fasting plasma samples from 2,750 participants (315 incident cases) in the Jackson Heart Study (JHS)-a community cohort of self-identified African Americans-who are underrepresented in omics studies. We found 307 unique compounds (82 known) associated with diabetes after adjusting for age and sex at a false discovery rate of <0.

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Article Synopsis
  • The study investigates the integration of genetic information with metabolomics to understand how genes influence metabolism, focusing specifically on a diverse population rather than just individuals of European ancestry.* -
  • Researchers conducted a whole genome association study involving 2,466 Black individuals, identifying 519 associations between genetic loci and metabolite peaks, many linked to ancestry-specific alleles.* -
  • By using advanced techniques like tandem mass spectrometry, the study also aims to provide insights into unknown metabolites and hereditary diseases related to the findings, such as transthyretin amyloidosis and sickle cell disease.*
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Article Synopsis
  • High-throughput proteomic profiling is increasingly used in human studies, but there is a lack of direct comparisons between antibody- and aptamer-based platforms.
  • The study evaluated the performance of three profiling techniques—SomaScan1.3K, SomaScan5K, and Olink Explore—on 787 participants across various performance domains like precision and accuracy.
  • Results indicated that the Olink platform showed better protein target specificity and phenotypic associations, while the Soma platforms excelled in measurement precision and broader analytical capabilities.
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Background: In the last decade, genomic studies have identified and replicated thousands of genetic associations with measures of health and disease and contributed to the understanding of the etiology of a variety of health conditions. Proteins are key biomarkers in clinical medicine and often drug-therapy targets. Like genomics, proteomics can advance our understanding of biology.

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Article Synopsis
  • The study explores the genetic factors influencing the plasma proteome, focusing on individuals with greater African ancestry, which improves the identification of novel genetic associations related to cardiovascular health.
  • Using advanced proteomic profiling and whole genome sequencing on a diverse group of Black adults, researchers discovered 569 genetic associations between proteins and distinct genetic regions, revealing new insights into cardiovascular mechanisms.
  • Key findings include novel locus-protein relationships implicating specific genes and variants in cardiovascular disease, highlighting potential connections between kidney and heart disease and suggesting new avenues for targeted treatment and research.
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Maximal oxygen uptake (VOmax) is a direct measure of human cardiorespiratory fitness and is associated with health. However, the molecular determinants of interindividual differences in baseline (intrinsic) VOmax, and of increases of VOmax in response to exercise training (ΔVOmax), are largely unknown. Here, we measure ~5,000 plasma proteins using an affinity-based platform in over 650 sedentary adults before and after a 20-week endurance-exercise intervention and identify 147 proteins and 102 proteins whose plasma levels are associated with baseline VOmax and ΔVOmax, respectively.

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Background: Increased left ventricular (LV) mass is associated with adverse cardiovascular events including heart failure (HF). Both increased LV mass and HF disproportionately affect Black individuals. To understand the underlying mechanisms, we undertook a proteomic screen in a Black cohort and compared the findings to results from a White cohort.

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Scope: New biomarkers are needed that are representative of dietary intake.

Methods And Results: We assess metabolites associated with Southern dietary patterns in 1401 Jackson Heart Study participants. Three dietary patterns are empirically derived using principal component analysis: meat and fast food, fish and vegetables, and starchy foods.

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Recent advances in proteomic technologies have made high-throughput profiling of low-abundance proteins in large epidemiological cohorts increasingly feasible. We investigated whether aptamer-based proteomic profiling could identify biomarkers associated with future development of type 2 diabetes (T2DM) beyond known risk factors. We identified dozens of markers with highly significant associations with future T2DM across 2 large longitudinal cohorts (n = 2839) followed for up to 16 years.

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Background: Heart failure (HF) is a heterogeneous disease characterized by significant metabolic disturbances; however, the breadth of metabolic dysfunction before the onset of overt disease is not well understood. The purpose of this study was to determine the association of circulating metabolites with incident HF to uncover novel metabolic pathways to disease.

Methods: We performed targeted plasma metabolomic profiling in a deeply phenotyped group of Black adults from the JHS (Jackson Heart Study; n=2199).

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COVID-19 is one of the most consequential pandemics in the last century, yet the biological mechanisms that confer disease risk are incompletely understood. Further, heterogeneity in disease outcomes is influenced by race, though the relative contributions of structural/social and genetic factors remain unclear. Very recent unpublished work has identified two genetic risk loci that confer greater risk for respiratory failure in COVID-19: the ABO locus and the 3p21.

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We sought to evaluate whether unbiased machine learning of dense phenotypic data ("phenomapping") could identify distinct hypertension subgroups that are associated with the myocardial substrate (i.e., abnormal cardiac mechanics) for heart failure with preserved ejection fraction (HFpEF).

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