Papers by Nicholas Davidson
Digestive Diseases and Sciences, Jan 7, 2020
Journal of Clinical Investigation, Apr 20, 2020
Scientific Reports, May 11, 2021
American Journal of Physiology-endocrinology and Metabolism, Apr 1, 2019
medRxiv (Cold Spring Harbor Laboratory), Jun 7, 2021
Diseases of the Colon & Rectum, 2017
BACKGROUND: Surgical resection is the primary treatment for colon cancer, but use of laparoscopic... more BACKGROUND: Surgical resection is the primary treatment for colon cancer, but use of laparoscopic approaches varies widely despite demonstrated short- and long-term benefits. OBJECTIVE: The purpose of this study was to identify characteristics associated with laparoscopic colon cancer resection and to quantify variation based on patient, hospital, and geographic characteristics. DESIGN: Bayesian cross-classified, multilevel logistic models calculated adjusted ORs and CIs for patient, surgeon, hospital, and geographic characteristics and unexplained variability (predicted vs. observed values) using adjusted median odds ratios for hospitals and counties. SETTINGS: The Surveillance, Epidemiology, and End Results–Medicare claims database (2008–2011) supplemented with county-level American Community Survey (2008–2012) demographic data was used. PATIENTS: A total of 10,618 patients ≥66 years old who underwent colon cancer resection were included. MAIN OUTCOME MEASURES: Nonurgent/nonemerge...
Journal of Gastroenterology and Hepatology, 2013
GenomeBiology.com (London. Print), 2014
Gastro Hep Advances, 2022
Diseases of the Colon & Rectum, 2020
BACKGROUND: Patients with (versus without) diabetes mellitus who develop colon cancer are at incr... more BACKGROUND: Patients with (versus without) diabetes mellitus who develop colon cancer are at increased risk of dying within 30 days after surgery. OBJECTIVE: The purpose of this study was to identify potential mediators of the effect of diabetes mellitus on all-cause 30-day mortality risk after surgery for colon cancer. DESIGN: A retrospective cohort study was conducted using the 2013–2015 National Surgical Quality Improvement Program data. SETTING: The study was conducted at various hospitals across the United States (from 435 to 603 hospitals). PATIENTS: Patients who underwent resection for colon cancer with or without obstruction based on the National Surgical Quality Improvement Program colectomy module were included. Patients who had ASA physical status classification V or metastatic disease and those who presented emergently were excluded. Patients were classified as “no diabetes,” “diabetes not requiring insulin,” or “diabetes requiring insulin.” Potential reasons for increas...
Cancer Causes & Control, 2014
Purpose To develop a prognostic model to predict 30-day mortality following colorectal cancer (CR... more Purpose To develop a prognostic model to predict 30-day mortality following colorectal cancer (CRC) surgery using the Surveillance, Epidemiology, and End Results (SEER)-Medicare-linked data and to assess whether race/ethnicity, neighborhood, and hospital characteristics influence model performance. Methods We included patients aged 66 years and older from the linked 2000-2005 SEER-Medicare database. Outcome included 30-day mortality, both in-hospital and following discharge. Potential prognostic factors included tumor, treatment, sociodemographic, hospital, and neighborhood characteristics (census-tract-poverty rate). We performed a multilevel logistic regression analysis to account for nesting of CRC patients within hospitals. Model performance was assessed using the area under the receiver operating characteristic curve (AUC) for discrimination and the Hosmer-Lemeshow goodness-of-fit test for calibration. Results In a model that included all prognostic factors, important predictors of 30-day mortality included age at diagnosis, cancer stage, and mode of presentation. Race/ ethnicity, census-tract-poverty rate, and hospital characteristics were independently associated with 30-day mortality, but they did not influence model performance. Our SEER-Medicare model achieved moderate discrimination (AUC = 0.76), despite suboptimal calibration. Conclusions We developed a prognostic model that included tumor, treatment, sociodemographic, hospital, and neighborhood predictors. Race/ethnicity, neighborhood, and hospital characteristics did not improve model performance compared with previously developed models.
American Journal of Physiology-Gastrointestinal and Liver Physiology
We utilized a mouse model of maternal obesogenic diet exposure to evaluate the effect on offsprin... more We utilized a mouse model of maternal obesogenic diet exposure to evaluate the effect on offspring microbiome and bile acid homeostasis. We identified shifts in the offspring microbiome associated with changes in cecal bile acid levels. Transfer of the microbiome from maternal obesogenic diet-exposed offspring to microbiome-depleted mice altered bile acid homeostasis and increased fructose-induced hepatic steatosis.
Journal of Biological Chemistry, 1992
We recently reported that the glucose transporter isoform, GLUTS, is expressed on the brush borde... more We recently reported that the glucose transporter isoform, GLUTS, is expressed on the brush border membrane of human small intestinal enterocytes (Davidson, N.
Journal of Biological Chemistry, 2020
Science relies on data acquisition via well-described, rigorous, reproducible procedures; statist... more Science relies on data acquisition via well-described, rigorous, reproducible procedures; statistically defensible interpretation of these data; and transparent reporting of the interpretations and conclusions reached based on these data. Each of these steps must be communicated to the broader scientific community in such a way that others can critically evaluate the studies, draw conclusions based on the reported findings, design subsequent experiments, and replicate and extend those observations. The only way this is possible is through full disclosure of data so that they are readily accessible to readers. Journals must assume responsibility for ensuring that those data are made available and that the mechanism to access the data be cited in the same way that previous literature reports are cited. The publications of ASBMB (Journal of Biological Chemistry, Journal of Lipid Research, and Molecular and Cellular Proteomics) are joining a number of sister publications in adopting policy requirements that ensure these goals are met for all of our content. The policies being adopted by the three ASBMB publications adhere to recommendations articulated by the journal Scientific Data (1) and specifically apply to data availability statements and data citation. Data availability statements are now required and should indicate where the underlying data described in the manuscript are located. If all data are contained within the manuscript, then the statement should state so. For data sets that were generated and deposited into a publicly accessible repository for submission, the location and identifying information (accession numbers and/or DOIs) must be provided. If data are to be shared upon request, then contact information for the individual who will provide the data must be provided. All data described in an article must be made available to any qualified investigator upon request. Any software developed that is central to the manuscript must be deposited into a repository that can assign it a DOI, which should be provided. If accession numbers or DOIs cannot be provided in a submitted manuscript, include placeholder language to indicate that the information will be made available after acceptance. The editorial office will contact authors for more information after acceptance. Any limitations to the sharing of data, code, and/or materials should be stated in this section. More details about adherence to these policies are given in ASBMB's Editorial Policies (2). Data deposited in repositories from already published studies should be cited in the same way that literature references are cited in a manuscript. The details of formatting these data cita-cro EDITORIAL
EBioMedicine, 2020
Background: Naturally occurring variation in Membrane-bound O-acyltransferase domain-containing 7... more Background: Naturally occurring variation in Membrane-bound O-acyltransferase domain-containing 7 (MBOAT7), encoding for an enzyme involved in phosphatidylinositol acyl-chain remodelling, has been associated with fatty liver and hepatic disorders. Here, we examined the relationship between hepatic Mboat7 down-regulation and fat accumulation. Methods: Hepatic MBOAT7 expression was surveyed in 119 obese individuals and in experimental models. MBOAT7 was acutely silenced by antisense oligonucleotides in C57Bl/6 mice, and by CRISPR/Cas9 in HepG2 hepatocytes. Findings: In obese individuals, hepatic MBOAT7 mRNA decreased from normal liver to steatohepatitis, independently of diabetes, inflammation and MBOAT7 genotype. Hepatic MBOAT7 levels were reduced in murine models of fatty liver, and by hyper-insulinemia. In wild-type mice, Mboat7 was down-regulated by refeeding and insulin, concomitantly with insulin signalling activation. Acute hepatic Mboat7 silencing promoted hepatic steatosis in vivo and enhanced expression of fatty acid transporter Fatp1. MBOAT7 deletion in hepatocytes reduced the incorporation of arachidonic acid into phosphatidylinositol, consistently with decreased enzymatic activity, determining the accumulation of saturated triglycerides, enhanced lipogenesis and FATP1 expression, while FATP1 deletion rescued the phenotype. Interpretation: MBOAT7 down-regulation by hyper-insulinemia contributes to hepatic fat accumulation, impairing phosphatidylinositol remodelling and up-regulating FATP1.
Molecular & Cellular Proteomics, 2019
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Papers by Nicholas Davidson