Association of adverse cardiovascular events with gabapentin and pregabalin among patients with fibromyalgia.

Objective: Fibromyalgia, a chronic pain disorder, impacts approximately 2% of adults in the US. Gabapentin and pregabalin are common treatments to manage fibromyalgia-related pain. Our recent study showed the risk of adverse cardiovascular events increased in diabetic neuropathy patients who were prescribed gabapentin or pregabalin.

Effects of nanosilica on the properties of brine-base drilling fluid.

In the process of drilling oil and gas wells, the shrinkage and falling of wellbore walls are often caused by the expansion of mud shale water. To date, conventional additives have been unable to plug the pore throats of shale rock with nanoscale pores and thus cannot effectively solve the problem of wellbore instability encountered in shale formation drilling. In view of this situation, the idea of using nanosilica to plug the nanopore throat of mud shale is proposed to reduce its permeability and to slow water intrusion.

A knowledge graph-based disease-gene prediction system using multi-relational graph convolution networks.

Identifying disease-gene associations is important for understanding molecule mechanisms of diseases, finding diagnostic markers and therapeutic targets. Many computational methods have been proposed to predict disease related genes by integrating different biological databases into heterogeneous networks. However, it remains a challenging task to leverage heterogeneous topological and semantic information from multi-source biological data to enhance disease-gene prediction.

Cardiovascular risk of gabapentin and pregabalin in patients with diabetic neuropathy.

Background: Gabapentin and pregabalin are commonly prescribed medications to treat pain in patients with diabetic neuropathy. Gabapentin and pregabalin can cause fluid retention, which is hypothesized to be associated with cardiovascular diseases. However, whether long-term use of gabapentin and pregabalin is associated with adverse cardiovascular diseases remains unknown.

Prediction and evaluation of combination pharmacotherapy using natural language processing, machine learning and patient electronic health records.

Combination pharmacotherapy targets key disease pathways in a synergistic or additive manner and has high potential in treating complex diseases. Computational methods have been developed to identifying combination pharmacotherapy by analyzing large amounts of biomedical data. Existing computational approaches are often underpowered due to their reliance on our limited understanding of disease mechanisms.

Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records.

Background: Opioid use disorder (OUD) has become an urgent health problem. People with OUD often experience comorbid medical conditions. Systematical approaches to identifying co-occurring conditions of OUD can facilitate a deeper understanding of OUD mechanisms and drug discovery.

Suppression of FAM83D Inhibits Glioma Proliferation, Invasion and Migration by Regulating the AKT/mTOR Signaling Pathway.

Objective: To explore the mechanism by which the family with sequence similarity 83, member D (FAM83D)-mediated AKT/mTOR signaling pathway activation affects the proliferation and metastasis of glioma cells.

Methods: FAM83D protein expression in glioma cells and tissues was detected by western blotting. Glioma U87 and U251 cells were selected and divided into the Mock, siNC, siFAM83D, FAM83D, MK2206 and FAM83D + MK2206 groups.

ERK-CREB pathway is involved in HSPB8-mediated glioma cell growth and metastatic properties.

Objective: To investigate the mechanism of HSPB8 (heat shock protein beta-8) in the growth and metastatic properties of glioma cells.

Methods: HSPB8 expression in glioma tissue and cell was detected via Western blotting. Then, glioma U87 and U251 cell lines were divided into Mock group, Control siRNA group, HSPB8 siRNA-1 group and HSPB8 siRNA-2 group.

Effect of Ras-guanine nucleotide release factor 1-mediated H-Ras/ERK signaling pathway on glioma.

Objective: To investigate the function of Ras-guanine nucleotide release factor 1 (Ras-GRF1) in glioma through mediating H-Ras/ERK signaling pathway.

Methods: Ras-GRF1, H-Ras, K-Ras and N-Ras expressions in glioma and normal brain tissues were detected via Immunohistochemistry. Glioma cells (U87 cells, U251 cells and primary human glioma cells) were transfected with Ras-GRF1 siRNA, H-Ras siRNA and/or Ras-GRF1 lentivirus activation particles.

Hyperchloremia in critically ill patients: association with outcomes and prediction using electronic health record data.

Background: Increased chloride in the context of intravenous fluid chloride load and serum chloride levels (hyperchloremia) have previously been associated with increased morbidity and mortality in select subpopulations of intensive care unit (ICU) patients (e.g patients with sepsis). Here, we study the general ICU population of the Medical Information Mart for Intensive Care III (MIMIC-III) database to corroborate these associations, and propose a supervised learning model for the prediction of hyperchloremia in ICU patients.

Mesh-preservation approach to treatment of mesh infection after large incisional ventral hernia repair-how I do it.

Mesh infection after large incisional ventral hernia repair is a clinical dilemma in abdominal wall hernia surgery. It is believed foreign material should be removed but it causes secondary trauma to the abdominal wall tissue and might be associated with a higher risk of complications. Currently, there is no consensus on mesh-preservation treatment in cases of mesh infection after hernia repair in general.

CXCL8 Promotes Glioma Progression By Activating The JAK/STAT1/HIF-1α/Snail Signaling Axis.

Background: Upregulation of CXCL8 (C-X-C motif ligand 8) in tumor cells has been reported in several types of cancer, and it correlates with a poor prognosis. However, the role of CXCL8 in glioma progression remains unknown.

Materials And Methods: In this study, we examined CXCL8 expression levels in human glioma cell lines and in sixteen human gliomas with different grades.

Using Machine Learning to Predict Hyperchloremia in Critically Ill Patients.

Elevated serum chloride levels (hyperchloremia) and the administration of intravenous (IV) fluids with high chloride content have both been associated with increased morbidity and mortality in certain subgroups of critically ill patients, such as those with sepsis. Here, we demonstrate this association in a general intensive care unit (ICU) population using data from the Medical Information Mart for Intensive Care III (MIMIC-III) database and propose the use of supervised learning to predict hyperchloremia in critically ill patients. Clinical variables from records of the first 24h of adult ICU stays were represented as features for four predictive supervised learning classifiers.

Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images.

Thoracic diseases are very serious health problems that plague a large number of people. Chest X-ray is currently one of the most popular methods to diagnose thoracic diseases, playing an important role in the healthcare workflow. However, reading the chest X-ray images and giving an accurate diagnosis remain challenging tasks for expert radiologists.