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Martin J. J. Ronis

Researcher at LSU Health Sciences Center New Orleans

Publications -  200
Citations -  8492

Martin J. J. Ronis is an academic researcher from LSU Health Sciences Center New Orleans. The author has contributed to research in topics: Soy protein & Osteoblast. The author has an hindex of 53, co-authored 196 publications receiving 7769 citations. Previous affiliations of Martin J. J. Ronis include University of Arkansas for Medical Sciences & Louisiana State University.

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Feeding Blueberry Diets to Young Rats Dose-Dependently Inhibits Bone Resorption through Suppression of RANKL in Stromal Cells

TL;DR: Results suggest that inhibition of bone resorption may contribute to increased bone mass during early development after BB consumption.
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Effects of long-term ethanol administration in a rat total enteral nutrition model of alcoholic liver disease

TL;DR: Although the effects of NAC on EtOH-induced fibrosis could not be fully evaluated, NAC had additive effects on hepatocyte proliferation and prevented EtOH -induced oxidative stress and necrosis, despite a failure to reverse hepatic steatosis.
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IL-1 and TNF antagonists prevent inhibition of fracture healing by ethanol in rats.

TL;DR: The hypothesis that IL-1 and TNF antagonists are capable of protecting fracture healing from the inhibition associated with chronic ethanol consumption is supported for the first time.
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Altered Expression and Glucocorticoid-Inducibility of Hepatic CYP3A and CYP2B Enzymes in Male Rats Fed Diets Containing Soy Protein Isolate

TL;DR: Potential effects of soy consumption on the metabolism of a wide variety of CYP3A and CYP2B1 substrates are suggested, especially in situations involving coexposure to CYP inducers.
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Matrix effects break the LC behavior rule for analytes in LC-MS/MS analysis of biological samples:

TL;DR: A comprehensive understanding of matrix effects is needed towards improving the use of HPLC and LC- MS/MS techniques for qualitative and quantitative analyses of analytes in pharmacokinetics, proteomics/metabolomics, drug development, and sports drug testing, especially when LC-MS/MS data are analyzed by automation software.