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Biomedical subjects

Rima Kaddurah-Daouk

Publications and source records attributed to Rima Kaddurah-Daouk.

7 recordsLinked to original sources
PubMed2026

Interconnected influences of diet, gut microbiome, and metabolome on cognition across three metabolomics platforms.

Cognitive impairment is increasing with global aging, yet mechanisms linking diet, the gut microbiome, and metabolism to cognitive function remain unclear. To investigate a diet-microbiome-metabolome axis associated with cognition, we integrated fecal metagenomics, diet, and multi-platform plasma metabolomics in 505 older adults from four ADRCs. Several microbes broadly associated with circulating metabolites were also linked to multiple measures of cognitive performance. These taxa exhibited coordinated metabolic signatures, with cognition-positive microbes associated with antioxidant, lipid, and microbial-host co-metabolites, and microbes negatively associated with cognition were linked to inflammatory and aromatic amino acid-derived metabolites. Dietary patterns, particularly the Healthy Eating Index Greens and Beans component, were associated with microbial composition and metabolomic structure. Mediation analyses supported a diet-microbe-metabolite-cognition pathway, while metabolites remained associated with cognition after accounting for microbial features. These findings highlight the metabolome as a central integrator of diet, microbial activity, and cognitive function.

Journal Article↗
PubMed2007

A preliminary metabolomic analysis of older adults with and without depression.

BACKGROUND: Metabolomics, the global science of biochemistry, is an emerging field that enables detection and quantification of small molecules involved in metabolic and signaling pathways. Metabolic signatures for disease and its treatment could provide valuable biomarkers and insights about disease mechanisms. In this pilot study, we evaluate the potential of metabolomics in the study of older depressed patients. METHODS: We performed a metabolomic analysis of blood plasma from nine depressed, 11 remitted, and ten never-depressed older adults. Approximately 800 metabolites were analyzed, with comparisons made among the three groups. RESULTS: Metabolites that were altered in currently depressed patients when compared with controls included several fatty acids, glycerol and gamma-aminobutyric acid (GABA). Analyses comparing concentrations in remitted and currently depressed patients revealed a pattern of metabolite alterations similar to the control vs currently depressed analyses. One difference observed in the remitted patients relative to the depressed patients was elevation of the concentration of the ketone 3-hydroxybutanoic acid. CONCLUSION: These observations suggest that the depressed state may be associated with alterations in the metabolism of lipids and neurotransmitters, and that treatment with antidepressants adjusts some of the aberrant pathways in disease so that the patients in remission have a metabolic profile more similar to controls than to the depressed population. These results will need to be examined and validated in larger longitudinal cohorts.

Aged↗
PubMed2007

High-performance liquid chromatography separations coupled with coulometric electrode array detectors: a unique approach to metabolomics.

Metabolomics is the systematic and theoretically comprehensive study of the small molecules that comprise a biological sample, e.g., sera or plasma. The primary analytical tools used in metabolomics are nuclear magnetic resonance and mass spectroscopy. We here address a different tool, high-performance liquid chromatography (HPLC) separations coupled with coulometric electrode array detection. This system has unique advantages, notably sensitivity and high quantitative precision, but also has unique limitations, such as obtaining little structural information on the metabolites of interest and limited scale-up capacity. The system also only detects redox-active compounds, which can be either a benefit or a detriment, depending on the experimental goals and design. Here, we discuss the characteristics of this HPLC/coulometric electrode array system in the context of metabolomics, and then present the method as practiced in our groups.

Animals↗
PubMed2006

Metabolomics Standards Workshop and the development of international standards for reporting metabolomics experimental results.

Informatics standards and controlled vocabularies are essential for allowing information technology to help exchange, manage, interpret and compare large data collections. In a rapidly evolving field, the challenge is to work out how best to describe, but not prescribe, the use of these technologies and methods. A Metabolomics Standards Workshop was held by the US National Institutes of Health (NIH) to bring together multiple ongoing standards efforts in metabolomics with the NIH research community. The goals were to discuss metabolomics workflows (methods, technologies and data treatments) and the needs, challenges and potential approaches to developing a Metabolomics Standards Initiative that will help facilitate this rapidly growing field which has been a focus of the NIH roadmap effort. This report highlights specific aspects of what was presented and discussed at the 1st and 2nd August 2005 Metabolomics Standards Workshop.

Cell Physiological Phenomena↗
PubMed2006

Establishing reporting standards for metabolomic and metabonomic studies: a call for participation.

Metabolite concentrations in cellular systems are very much dependent on the physiological, environmental, and genetic status of an organism and are regarded as the ultimate result of cellular regulation, resulting in the visible phenotypes. Therefore, the comprehensive analysis of metabolite levels and fluxes renders a suitable tool for assessing the degree of perturbation in biological systems. Lessons derived from development of other OMICS areas (genomics, proteomics, and transcriptomics) have shown that large-scale comparisons and interpretations will require the re-use of data over long periods of time and by multiple laboratories with different expertise and backgrounds. Reaching this goal will require standardization of reporting structures of metabolomic studies for journal publication purposes, for regulatory deposition, and for database dissemination. An initiative by the Metabolomics Society is presented that aims to define important aspects of metabolomic workflows. These include biological study designs, chemical analysis, and data processing, as well as the ontologies that are necessary in this framework.

Animals↗
PubMed2006

Biomarkers for amyotrophic lateral sclerosis.

Amyotrophic lateral sclerosis (ALS) is the most common form of motor neuron disease. ALS is a fatal neurodegenerative disease and clinical diagnosis typically takes many months to complete. Early disease diagnosis through the use of biomarkers may aid in correct clinical management of patients and possibly delay time to ventilator and morbidity. This review explores the progress of biomarker discovery efforts for ALS and the many challenges that remain. Included are different technologies utilized in biomarker discovery efforts (proteomic, genomic and metabolomic) and putative biomarkers uncovered using these techniques. These studies have discovered genetic mutations leading to familial forms of ALS, and specific protein alterations that occur in biological fluids (cerebrospinal fluid and blood) and/or tissues of ALS subjects. More recent high-throughput technologies have revealed panels of proteomic or metabolic biomarkers that can discriminate between ALS and control groups. The identification of disease-specific biomarkers will provide opportunities to develop early diagnostic measures as well as surrogate markers to monitor disease progression and test drug efficacy in clinical trials.

Algorithms↗