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School of Public Health Faculty Publications

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Full-Text Articles in Epidemiology

Potential Causal Association Between Gut Microbiome And Posttraumatic Stress Disorder, Qiang He, Wenjing Wang, Dingkang Xu, Yang Xiong, Chuanyuan Tao, Chao You, Lu Ma, Junpeng Ma, Caroline M. Nievergelt, Adam X. Maihofer, Torsten Klengel, Elizabeth G. Atkinson, Chia Yen Chen, Karmel W. Choi, Jonathan R.I. Coleman, Shareefa Dalvie, Laramie E. Duncan, Mark W. Logue, Allison C. Provost, Andrew Ratanatharathorn, Murray B. Stein, Katy Torres, Allison E. Aiello, Lynn M. Almli, Ananda B. Amstadter, Søren B. Andersen, Ole A. Andreassen, Paul A. Arbisi, Ariane Rung, Et Al Jan 2024

Potential Causal Association Between Gut Microbiome And Posttraumatic Stress Disorder, Qiang He, Wenjing Wang, Dingkang Xu, Yang Xiong, Chuanyuan Tao, Chao You, Lu Ma, Junpeng Ma, Caroline M. Nievergelt, Adam X. Maihofer, Torsten Klengel, Elizabeth G. Atkinson, Chia Yen Chen, Karmel W. Choi, Jonathan R.I. Coleman, Shareefa Dalvie, Laramie E. Duncan, Mark W. Logue, Allison C. Provost, Andrew Ratanatharathorn, Murray B. Stein, Katy Torres, Allison E. Aiello, Lynn M. Almli, Ananda B. Amstadter, Søren B. Andersen, Ole A. Andreassen, Paul A. Arbisi, Ariane Rung, Et Al

School of Public Health Faculty Publications

Background: The causal effects of gut microbiome and the development of posttraumatic stress disorder (PTSD) are still unknown. This study aimed to clarify their potential causal association using mendelian randomization (MR). Methods: The summary-level statistics for gut microbiome were retrieved from a genome-wide association study (GWAS) of the MiBioGen consortium. As to PTSD, the Freeze 2 datasets were originated from the Psychiatric Genomics Consortium Posttraumatic Stress Disorder Working Group (PGC-PTSD), and the replicated datasets were obtained from FinnGen consortium. Single nucleotide polymorphisms meeting MR assumptions were selected as instrumental variables. The inverse variance weighting (IVW) method was employed as the …


Identification Of Plasma Glycosphingolipids As Potential Biomarkers For Prostate Cancer (Pca) Status, Ashley J. Snider, Michael C. Seeds, Laurel Johnstone, Justin M. Snider, Brian Hallmark, Rahul Dutta, Cristina Moraga Franco, John S. Parks, Jeannette T. Bensen, Corey D. Broeckling, James L. Mohler, Gary J. Smith, Elizabeth T.H. Fontham, Hui Kuan Lin, William Bresette, Susan Sergeant, Floyd H. Chilton Sep 2020

Identification Of Plasma Glycosphingolipids As Potential Biomarkers For Prostate Cancer (Pca) Status, Ashley J. Snider, Michael C. Seeds, Laurel Johnstone, Justin M. Snider, Brian Hallmark, Rahul Dutta, Cristina Moraga Franco, John S. Parks, Jeannette T. Bensen, Corey D. Broeckling, James L. Mohler, Gary J. Smith, Elizabeth T.H. Fontham, Hui Kuan Lin, William Bresette, Susan Sergeant, Floyd H. Chilton

School of Public Health Faculty Publications

Prostate cancer (PCa) is the most common male cancer and the second leading cause of cancer death in United States men. Controversy continues over the effectiveness of prostate-specific antigen (PSA) for distinguishing aggressive from indolent PCa. There is a critical need for more specific and sensitive biomarkers to detect and distinguish low-versus high-risk PCa cases. Discovery metabolomics were performed utilizing ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS) on plasma samples from 159 men with treatment naïve prostate cancer participating in the North Carolina-Louisiana PCa Project to determine if there were metabolites associated with aggressive PCa. Thirty-five identifiable plasma small molecules were …