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Full-Text Articles in Medicine and Health Sciences

Cellular Senescence And Their Role In Liver Metabolism In Health And Disease: Overview And Future Directions, Matthew Schade, Jacqueline A. Sanabria, Rodrigo Aguilar, Milad Modarresi, Brad Gillon, Zach Hunter, Jacqueline Fannin, Amrita Mallick, Henri Brunengraber, Juan Sanabria Feb 2019

Cellular Senescence And Their Role In Liver Metabolism In Health And Disease: Overview And Future Directions, Matthew Schade, Jacqueline A. Sanabria, Rodrigo Aguilar, Milad Modarresi, Brad Gillon, Zach Hunter, Jacqueline Fannin, Amrita Mallick, Henri Brunengraber, Juan Sanabria

Juan R. Sanabria

Chronic liver disease has globally risen mainly due to a prevalent Hepatitis C Virus (HCV) infection rate and an epidemic of obesity. It is estimated by the year 2030, 2.2 billion people around the world will be overweight and 1.1 billion people will be obese. Diabetes and obesity are the main risk factors for the development of the metabolic syndrome and in the liver of Non-Alcoholic Fatty Liver Disease (NAFLD) which could progress to NASH related cirrhosis and liver malignancy. At present there is not effective therapy for NASH besides loss of weight and exercise. Furthermore, optimal management of HCC …


Predicting Adverse Outcomes In End Stage Renal Disease: Machine Learning Applied To The United States Renal Data System, Zeid Khitan, Alexis D. Jacob, Courtney Balentine, Adam N. Jacob, Juan R. Sanabria, Joseph I. Shapiro Feb 2019

Predicting Adverse Outcomes In End Stage Renal Disease: Machine Learning Applied To The United States Renal Data System, Zeid Khitan, Alexis D. Jacob, Courtney Balentine, Adam N. Jacob, Juan R. Sanabria, Joseph I. Shapiro

Juan R. Sanabria

We examined machine learning methods to predict death within six months using data derived from the United States Renal Data System (USRDS). We specifically evaluated a generalized linear model, a support vector machine, a decision tree and a random forest evaluated within the context of K-10 fold validation using the CARET package available within the open source architecture R program. We compared these models with the feed forward neural network strategy that we previously reported on with this data set.


Adiposity Predicts Pulse Pressure In Subjects With Chronic Kidney Disease: Data From The Modification Of Diet In Renal Disease, Preeya T. Shah Phd, Rebecca Martin, Juan R. Sanabria, Zeid Khitan Md, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro Md May 2018

Adiposity Predicts Pulse Pressure In Subjects With Chronic Kidney Disease: Data From The Modification Of Diet In Renal Disease, Preeya T. Shah Phd, Rebecca Martin, Juan R. Sanabria, Zeid Khitan Md, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro Md

Juan R. Sanabria

Obesity is a known risk factor for hypertension, but the mechanisms by which this occurs are still unclear. As the body mass index (BMI) is frequently used to define obesity, but the BMI does not distinguish between adipose and other tissues, we sought to develop another index of obesity. We decided to look at the ratio of BMI to urinary creatinine excretion as the latter measurement is believed to be an index of muscle mass. We used data from the modification of diet in renal disease (MDRD) study as urinary creatinine collections and blood pressure measurements were readily available in …


Metabolomic Analysis Of Liver Tissue From The Vx2 Rabbit Model Of Secondary Liver Tumors, Rafael A. Ibarra, J. E. Dazard, Y. Sandlers, F. Rehman, R. Abbas, R. Kombu, G. F. Zhang, H. Brunengraber, Juan R. Sanabria May 2018

Metabolomic Analysis Of Liver Tissue From The Vx2 Rabbit Model Of Secondary Liver Tumors, Rafael A. Ibarra, J. E. Dazard, Y. Sandlers, F. Rehman, R. Abbas, R. Kombu, G. F. Zhang, H. Brunengraber, Juan R. Sanabria

Juan R. Sanabria

Purpose. The incidence of liver neoplasms is rising in USA. The purpose of this study was to determine metabolic profiles of liver tissue during early cancer development. Methods. We used the rabbitVX2 model of liver tumors (LT) and a control group consisting of sham animals implanted with Gelfoam into their livers (LG). After two weeks from implantation, liver tissue from lobes with and without tumor was obtained from experimental animals (LT+/LT−) as well as liver tissue from controls (LG+/LG−). Peaks obtained by Gas Chromatography-Mass Spectrometry were subjected to identification. 56 metabolites were identified and their profiles compared between groups using …


Glutathione Species And Metabolomic Prints In Subjects With Liver Disease As Biological Markers For The Detection Of Hepatocellular Carcinoma, Juan R. Sanabria, Rajan S. Kombu, Guo-Fang Zhang, Yana Sandlers, Jizhou Ai, Rafael A. Ibarra, Rime Abbas, Kush Goyal, Henri Brunengraber May 2018

Glutathione Species And Metabolomic Prints In Subjects With Liver Disease As Biological Markers For The Detection Of Hepatocellular Carcinoma, Juan R. Sanabria, Rajan S. Kombu, Guo-Fang Zhang, Yana Sandlers, Jizhou Ai, Rafael A. Ibarra, Rime Abbas, Kush Goyal, Henri Brunengraber

Juan R. Sanabria

Background: The incidence of liver disease is increasing in USA. Animal models had shown glutathione species in plasma reflects liver glutathione state and it could be a surrogate for the detection of hepatocellular carcinoma (HCC).

Methods: The present study aimed to translate methods to the human and to explore the role of glutathione/metabolic prints in the progression of liver dysfunction and in the detection of HCC. Treated plasma from healthy subjects (n = 20), patients with liver disease (ESLD, n = 99) and patients after transplantation (LTx, n = 7) were analyzed by GC- or LC/MS. Glutathione labeling profile was …


Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro Nov 2017

Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro

Juan R. Sanabria

Background: Understanding factors which predict progression of renal failure is of great interest to clinicians.

Objectives: We examined machine learning methods to predict the composite outcome of death, dialysis or doubling of serum creatinine using the modification of diet in renal disease (MDRD) data set.

Methods: We specifically evaluated a generalized linear model, a support vector machine, a decision tree, a feed-forward neural network and a random forest evaluated within the context of 10 fold validation using the CARET package available within the open source architecture R program.

Results: We found that using clinical parameters available at entry into the …


The Effects Of Obesity On Outcomes In Trauma Injury: Overview Of The Current Literature, Milad Modarresi, Brad Gillon, Javad Najjar Mojarrab, Rodrigo Aguilar, Zackary Dylan Hunter, Matthew Steven Schade, Jackie Sanabria, Rebecca Klug, Seth Adkins, Juan R. Sanabria Nov 2017

The Effects Of Obesity On Outcomes In Trauma Injury: Overview Of The Current Literature, Milad Modarresi, Brad Gillon, Javad Najjar Mojarrab, Rodrigo Aguilar, Zackary Dylan Hunter, Matthew Steven Schade, Jackie Sanabria, Rebecca Klug, Seth Adkins, Juan R. Sanabria

Juan R. Sanabria

Obesity has reached epidemic proportions and is now considered a chronic disease by the National Institute of Health (NIH) in the West. Its impact on trauma outcomes is of particular interest with several studies presenting conflicting information. The present overview suggests a strong association between obesity and injury severity, hospital length of stay (LOS), intensive care unit (ICU) admission, pattern of injury, rate of complications and mortality. The nature of the observations may relate to an underlying physiological state of the obese patient and its associated comorbidities with a constant heightened inflammatory state aggravated by the second hit on an …