Dates of Funding: 2025-2027

Project Title: "Food genomics to objectively characterize healthy dietary patterns and their associations with cardiometabolic health during pregnancy"

This proposal will quantify intake of plant-rich dietary patterns (using plant food genomics in feces) and examine how they impact cardiovascular health during pregnancy. Most epidemiologic evidence informing healthy dietary patterns come from self-reported diet, which has substantial measurement error and systematic bias. Objective dietary biomarkers can overcome these limitations, and their identification remains a high national priority for nutritional research. High-dimensional ‘omics (e.g., microbiome, circulating metabolome) lack the sensitivity and specificity for characterizing diet. Residual plant food genomics in feces may provide more specific biomarkers. Dr. Tilves (proposal PI) is currently investigating multi-omics signatures (food genomic, microbiome, and metabolome) of the plant-rich Dietary Approaches to Stop Hypertension (DASH) diet in a randomized feeding trial of a DASH vs. typical U.S. diet. This proposal would quantify fecal plant genomics, and store fecal metabolomics, from pregnant mothers in an ongoing NIH-funded pre-birth cohort. We will (1) characterize food genomics signatures of plant food diversity and DASH diet intake and (2) examine these signatures vs self-reported diet with changes in gestational blood pressure and weight. Findings will inform future grant submissions to extend fecal food genomic and metabolomic measures to the entire cohort and examine associations with maternal and child cardiovascular outcomes.

Dates of Funding: 2025-2027

Project Title: "Food genomics to objectively characterize healthy dietary patterns and their associations with cardiometabolic health during pregnancy"

This proposal will quantify intake of plant-rich dietary patterns (using plant food genomics in feces) and examine how they impact cardiovascular health during pregnancy. Most epidemiologic evidence informing healthy dietary patterns come from self-reported diet, which has substantial measurement error and systematic bias. Objective dietary biomarkers can overcome these limitations, and their identification remains a high national priority for nutritional research. High-dimensional ‘omics (e.g., microbiome, circulating metabolome) lack the sensitivity and specificity for characterizing diet. Residual plant food genomics in feces may provide more specific biomarkers. Dr. Tilves (proposal PI) is currently investigating multi-omics signatures (food genomic, microbiome, and metabolome) of the plant-rich Dietary Approaches to Stop Hypertension (DASH) diet in a randomized feeding trial of a DASH vs. typical U.S. diet. This proposal would quantify fecal plant genomics, and store fecal metabolomics, from pregnant mothers in an ongoing NIH-funded pre-birth cohort. We will (1) characterize food genomics signatures of plant food diversity and DASH diet intake and (2) examine these signatures vs self-reported diet with changes in gestational blood pressure and weight. Findings will inform future grant submissions to extend fecal food genomic and metabolomic measures to the entire cohort and examine associations with maternal and child cardiovascular outcomes.

Dates of Funding: 2025-2027

Project Title: "Food genomics to objectively characterize healthy dietary patterns and their associations with cardiometabolic health during pregnancy"

This proposal will quantify intake of plant-rich dietary patterns (using plant food genomics in feces) and examine how they impact cardiovascular health during pregnancy. Most epidemiologic evidence informing healthy dietary patterns come from self-reported diet, which has substantial measurement error and systematic bias. Objective dietary biomarkers can overcome these limitations, and their identification remains a high national priority for nutritional research. High-dimensional ‘omics (e.g., microbiome, circulating metabolome) lack the sensitivity and specificity for characterizing diet. Residual plant food genomics in feces may provide more specific biomarkers. Dr. Tilves (proposal PI) is currently investigating multi-omics signatures (food genomic, microbiome, and metabolome) of the plant-rich Dietary Approaches to Stop Hypertension (DASH) diet in a randomized feeding trial of a DASH vs. typical U.S. diet. This proposal would quantify fecal plant genomics, and store fecal metabolomics, from pregnant mothers in an ongoing NIH-funded pre-birth cohort. We will (1) characterize food genomics signatures of plant food diversity and DASH diet intake and (2) examine these signatures vs self-reported diet with changes in gestational blood pressure and weight. Findings will inform future grant submissions to extend fecal food genomic and metabolomic measures to the entire cohort and examine associations with maternal and child cardiovascular outcomes.

Dates of Funding: 2025-2027

Project Title: "Food genomics to objectively characterize healthy dietary patterns and their associations with cardiometabolic health during pregnancy"

This proposal will quantify intake of plant-rich dietary patterns (using plant food genomics in feces) and examine how they impact cardiovascular health during pregnancy. Most epidemiologic evidence informing healthy dietary patterns come from self-reported diet, which has substantial measurement error and systematic bias. Objective dietary biomarkers can overcome these limitations, and their identification remains a high national priority for nutritional research. High-dimensional ‘omics (e.g., microbiome, circulating metabolome) lack the sensitivity and specificity for characterizing diet. Residual plant food genomics in feces may provide more specific biomarkers. Dr. Tilves (proposal PI) is currently investigating multi-omics signatures (food genomic, microbiome, and metabolome) of the plant-rich Dietary Approaches to Stop Hypertension (DASH) diet in a randomized feeding trial of a DASH vs. typical U.S. diet. This proposal would quantify fecal plant genomics, and store fecal metabolomics, from pregnant mothers in an ongoing NIH-funded pre-birth cohort. We will (1) characterize food genomics signatures of plant food diversity and DASH diet intake and (2) examine these signatures vs self-reported diet with changes in gestational blood pressure and weight. Findings will inform future grant submissions to extend fecal food genomic and metabolomic measures to the entire cohort and examine associations with maternal and child cardiovascular outcomes.

Dates of Funding: 2025-2027

Project Title: "Food genomics to objectively characterize healthy dietary patterns and their associations with cardiometabolic health during pregnancy"

This proposal will quantify intake of plant-rich dietary patterns (using plant food genomics in feces) and examine how they impact cardiovascular health during pregnancy. Most epidemiologic evidence informing healthy dietary patterns come from self-reported diet, which has substantial measurement error and systematic bias. Objective dietary biomarkers can overcome these limitations, and their identification remains a high national priority for nutritional research. High-dimensional ‘omics (e.g., microbiome, circulating metabolome) lack the sensitivity and specificity for characterizing diet. Residual plant food genomics in feces may provide more specific biomarkers. Dr. Tilves (proposal PI) is currently investigating multi-omics signatures (food genomic, microbiome, and metabolome) of the plant-rich Dietary Approaches to Stop Hypertension (DASH) diet in a randomized feeding trial of a DASH vs. typical U.S. diet. This proposal would quantify fecal plant genomics, and store fecal metabolomics, from pregnant mothers in an ongoing NIH-funded pre-birth cohort. We will (1) characterize food genomics signatures of plant food diversity and DASH diet intake and (2) examine these signatures vs self-reported diet with changes in gestational blood pressure and weight. Findings will inform future grant submissions to extend fecal food genomic and metabolomic measures to the entire cohort and examine associations with maternal and child cardiovascular outcomes.

Dates of Funding: 2025-2027

Project Title: "Food genomics to objectively characterize healthy dietary patterns and their associations with cardiometabolic health during pregnancy"

This proposal will quantify intake of plant-rich dietary patterns (using plant food genomics in feces) and examine how they impact cardiovascular health during pregnancy. Most epidemiologic evidence informing healthy dietary patterns come from self-reported diet, which has substantial measurement error and systematic bias. Objective dietary biomarkers can overcome these limitations, and their identification remains a high national priority for nutritional research. High-dimensional ‘omics (e.g., microbiome, circulating metabolome) lack the sensitivity and specificity for characterizing diet. Residual plant food genomics in feces may provide more specific biomarkers. Dr. Tilves (proposal PI) is currently investigating multi-omics signatures (food genomic, microbiome, and metabolome) of the plant-rich Dietary Approaches to Stop Hypertension (DASH) diet in a randomized feeding trial of a DASH vs. typical U.S. diet. This proposal would quantify fecal plant genomics, and store fecal metabolomics, from pregnant mothers in an ongoing NIH-funded pre-birth cohort. We will (1) characterize food genomics signatures of plant food diversity and DASH diet intake and (2) examine these signatures vs self-reported diet with changes in gestational blood pressure and weight. Findings will inform future grant submissions to extend fecal food genomic and metabolomic measures to the entire cohort and examine associations with maternal and child cardiovascular outcomes.

Dates of Funding: 2025-2027

Project Title: "Food genomics to objectively characterize healthy dietary patterns and their associations with cardiometabolic health during pregnancy"

This proposal will quantify intake of plant-rich dietary patterns (using plant food genomics in feces) and examine how they impact cardiovascular health during pregnancy. Most epidemiologic evidence informing healthy dietary patterns come from self-reported diet, which has substantial measurement error and systematic bias. Objective dietary biomarkers can overcome these limitations, and their identification remains a high national priority for nutritional research. High-dimensional ‘omics (e.g., microbiome, circulating metabolome) lack the sensitivity and specificity for characterizing diet. Residual plant food genomics in feces may provide more specific biomarkers. Dr. Tilves (proposal PI) is currently investigating multi-omics signatures (food genomic, microbiome, and metabolome) of the plant-rich Dietary Approaches to Stop Hypertension (DASH) diet in a randomized feeding trial of a DASH vs. typical U.S. diet. This proposal would quantify fecal plant genomics, and store fecal metabolomics, from pregnant mothers in an ongoing NIH-funded pre-birth cohort. We will (1) characterize food genomics signatures of plant food diversity and DASH diet intake and (2) examine these signatures vs self-reported diet with changes in gestational blood pressure and weight. Findings will inform future grant submissions to extend fecal food genomic and metabolomic measures to the entire cohort and examine associations with maternal and child cardiovascular outcomes.

Dates of Funding: 2025-2027

Project Title: "Food genomics to objectively characterize healthy dietary patterns and their associations with cardiometabolic health during pregnancy"

This proposal will quantify intake of plant-rich dietary patterns (using plant food genomics in feces) and examine how they impact cardiovascular health during pregnancy. Most epidemiologic evidence informing healthy dietary patterns come from self-reported diet, which has substantial measurement error and systematic bias. Objective dietary biomarkers can overcome these limitations, and their identification remains a high national priority for nutritional research. High-dimensional ‘omics (e.g., microbiome, circulating metabolome) lack the sensitivity and specificity for characterizing diet. Residual plant food genomics in feces may provide more specific biomarkers. Dr. Tilves (proposal PI) is currently investigating multi-omics signatures (food genomic, microbiome, and metabolome) of the plant-rich Dietary Approaches to Stop Hypertension (DASH) diet in a randomized feeding trial of a DASH vs. typical U.S. diet. This proposal would quantify fecal plant genomics, and store fecal metabolomics, from pregnant mothers in an ongoing NIH-funded pre-birth cohort. We will (1) characterize food genomics signatures of plant food diversity and DASH diet intake and (2) examine these signatures vs self-reported diet with changes in gestational blood pressure and weight. Findings will inform future grant submissions to extend fecal food genomic and metabolomic measures to the entire cohort and examine associations with maternal and child cardiovascular outcomes.

Dates of Funding: 2025-2027

Project Title: "Food genomics to objectively characterize healthy dietary patterns and their associations with cardiometabolic health during pregnancy"

This proposal will quantify intake of plant-rich dietary patterns (using plant food genomics in feces) and examine how they impact cardiovascular health during pregnancy. Most epidemiologic evidence informing healthy dietary patterns come from self-reported diet, which has substantial measurement error and systematic bias. Objective dietary biomarkers can overcome these limitations, and their identification remains a high national priority for nutritional research. High-dimensional ‘omics (e.g., microbiome, circulating metabolome) lack the sensitivity and specificity for characterizing diet. Residual plant food genomics in feces may provide more specific biomarkers. Dr. Tilves (proposal PI) is currently investigating multi-omics signatures (food genomic, microbiome, and metabolome) of the plant-rich Dietary Approaches to Stop Hypertension (DASH) diet in a randomized feeding trial of a DASH vs. typical U.S. diet. This proposal would quantify fecal plant genomics, and store fecal metabolomics, from pregnant mothers in an ongoing NIH-funded pre-birth cohort. We will (1) characterize food genomics signatures of plant food diversity and DASH diet intake and (2) examine these signatures vs self-reported diet with changes in gestational blood pressure and weight. Findings will inform future grant submissions to extend fecal food genomic and metabolomic measures to the entire cohort and examine associations with maternal and child cardiovascular outcomes.

Dates of Funding: 2025-2027

Project Title: "Food genomics to objectively characterize healthy dietary patterns and their associations with cardiometabolic health during pregnancy"

This proposal will quantify intake of plant-rich dietary patterns (using plant food genomics in feces) and examine how they impact cardiovascular health during pregnancy. Most epidemiologic evidence informing healthy dietary patterns come from self-reported diet, which has substantial measurement error and systematic bias. Objective dietary biomarkers can overcome these limitations, and their identification remains a high national priority for nutritional research. High-dimensional ‘omics (e.g., microbiome, circulating metabolome) lack the sensitivity and specificity for characterizing diet. Residual plant food genomics in feces may provide more specific biomarkers. Dr. Tilves (proposal PI) is currently investigating multi-omics signatures (food genomic, microbiome, and metabolome) of the plant-rich Dietary Approaches to Stop Hypertension (DASH) diet in a randomized feeding trial of a DASH vs. typical U.S. diet. This proposal would quantify fecal plant genomics, and store fecal metabolomics, from pregnant mothers in an ongoing NIH-funded pre-birth cohort. We will (1) characterize food genomics signatures of plant food diversity and DASH diet intake and (2) examine these signatures vs self-reported diet with changes in gestational blood pressure and weight. Findings will inform future grant submissions to extend fecal food genomic and metabolomic measures to the entire cohort and examine associations with maternal and child cardiovascular outcomes.