Publications by authors named "H J Murff"

Polyunsaturated fatty acids (PUFAs) including omega-3 and omega-6 are obtained from diet and can be measured objectively in plasma or red blood cells (RBCs) membrane biomarkers, representing different dietary exposure windows. In vivo conversion of omega-3 and omega-6 PUFAs from short- to long-chain counterparts occurs via a shared metabolic pathway involving fatty acid desaturases and elongase. This analysis leveraged genome-wide association study (GWAS) summary statistics for RBC and plasma PUFAs, along with expression quantitative trait loci (eQTL) to estimate tissue-specific genetically predicted gene expression effects for delta-5 desaturase (FADS1), delta-6 desaturase (FADS2), and elongase (ELOVL2) on changes in RBC and plasma biomarkers.

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Polyunsaturated fatty acids (PUFAs) including omega-3 and omega-6 are obtained from diet and can be measured objectively in plasma or red blood cells (RBCs) membrane biomarkers, representing different dietary exposure windows. conversion of omega-3 and omega-6 PUFAs from short-to long-chain counterparts occurs via a shared metabolic pathway involving fatty acid desaturases and elongase. This analysis leveraged genome-wide association study (GWAS) summary statistics for RBC and plasma PUFAs, along with expression quantitative trait loci (eQTL) to estimate tissue-specific genetically predicted gene expression effects for delta-5 desaturase ( ), delta-6 desaturase ( ), and elongase ( ) on changes in RBC and plasma biomarkers.

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Necroptosis triggers an inflammatory cascade associated with antimicrobial defense. No prospective human study has yet explored the role of necroptosis in colorectal cancer (CRC) development. We conducted quantitative analysis of biomarkers for necroptosis (transient receptor potential melastatin 7 (TRPM7) and phosphorylated mixed lineage kinase-like protein (pMLKL)), inflammation (cyclooxygenase-2, COX-2), apoptosis (BAX and TUNEL), and cell proliferation (Ki67).

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Introduction: There are many myths regarding Alzheimer's disease (AD) that have been circulated on the internet, each exhibiting varying degrees of accuracy, inaccuracy, and misinformation. Large language models, such as ChatGPT, may be a valuable tool to help assess these myths for veracity and inaccuracy; however, they can induce misinformation as well.

Objective: This study assesses ChatGPT's ability to identify and address AD myths with reliable information.

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Background: We investigated associations between diabetes and mortality among participants with incident colorectal cancer (CRC) from the Southern Community Cohort Study.

Methods: Participants (73% non-Hispanic Black; 60% income < $15,000) were recruited between 2002-2009. Diabetes was self-reported at enrollment and follow-up surveys at approximately 5-year intervals.

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