A machine learning model for visualization and dynamic clinical prediction of stroke recurrence in acute ischemic stroke patients: A real-world retrospective study.

Background And Purpose: Recurrent stroke accounts for 25-30% of all preventable strokes, and this study was conducted to establish a machine learning-based clinical predictive rice idol for predicting stroke recurrence within 1 year in patients with acute ischemic stroke (AIS).

Methods: A total of 645 AIS patients at The Second Affiliated Hospital of Xuzhou Medical University were screened, included and followed up for 1 year for comprehensive clinical data. Univariate and multivariate logistic regression (LR) were used to screen the risk factors of stroke recurrence.

Myostatin silencing inhibits podocyte apoptosis in membranous nephropathy through Smad3/PKA/NOX4 signaling pathway.

This article focuses on deciphering the effect of myostatin (MSTN) on podocyte apoptosis in membranous nephropathy (MN) and fathoming out its underlying mechanism. Rats received the intravenous injection of cationized-bovine serum albumin to induce MN , while angiotensin II (Ang II) was exposed to AB8/13 cells to induce MN model . The mRNA expression of MSTN was detected by qRT-PCR.

The predictors of death within 1 year in acute ischemic stroke patients based on machine learning.

Objective: To explore the predictors of death in acute ischemic stroke (AIS) patients within 1 year based on machine learning (ML) algorithms.

Methods: This study retrospectively analyzed the clinical data of patients hospitalized and diagnosed with AIS in the Second Affiliated Hospital of Xuzhou Medical University between August 2017 and July 2019. The patients were randomly divided into training and validation sets at a ratio of 7:3, and the clinical characteristic variables of the patients were screened using univariate and multivariate logistics regression.

A clinical prediction model for lung metastasis risk in osteosarcoma: A multicenter retrospective study.

Background: Lung metastases (LM) have a poor prognosis of osteosarcoma. This study aimed to predict the risk of LM using the nomogram in patients with osteosarcoma.

Methods: A total of 1100 patients who were diagnosed as osteosarcoma between 2010 and 2019 in the Surveillance, Epidemiology and End Results (SEER) database were selected as the training cohort.

IncRNA EPB41L4A-AS1 Mitigates the Proliferation of Non-Small-Cell Lung Cancer Cells through the miR-105-5p/GIMAP6 Axis.

Non-small-cell lung cancer (NSCLC) is the major subtype of lung cancer, with a series of long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and proteins involved in its pathogenesis. This study sought to investigate the functionality of lncRNA EPB41L4A antisense RNA 1 (lncRNA EPB41L4A-AS1) in the proliferation of NSCLC cells and provide a novel theoretical reference for NSCLC treatment. Levels of lncRNA EPB41L4A-AS1, miR-105-5p, and GTPase, IMAP family member 6 (GIMAP6) in tissues and cells were measured by RT-qPCR and the correlation between lncRNA EPB41L4A-AS1 and clinicopathological characteristics was analyzed.

Decoding the mechanism of earthworm extract against wounds: an integrated metabolomics and network pharmacology study.

Earthworms are used to cure wounds in Chinese villages for thousands of years. Recently, scientists realized their extracts could promote wound healing and they have anti-inflammatory, antioxidant, anti-apoptosis, and anti-microbial properties, but its mechanism of promoting wound healing remains unclear. In the presented study, electronic literature databases and LC-MS/MS were used to determine earthworms' ingredients and differential metabolites.

Runt-related transcription factor 3, mediated by DNA-methyltransferase 1, regulated Schwann cell proliferation and myelination during peripheral nerve regeneration via JAK/STAT signaling pathway.

Schwann cells (SCs) play a crucial role in peripheral nerve injury and regeneration. Recently, RUNX3 was found to be linked with neurological dysfunction. We examined the RUNX3 expression in sciatic nerve stumps with peripheral nerve injury of rats, cyclic adenosine monophosphate (cAMP)-induced SCs.

A clinical prediction model for predicting the risk of liver metastasis from renal cell carcinoma based on machine learning.

Background: Renal cell carcinoma (RCC) is a highly metastatic urological cancer. RCC with liver metastasis (LM) carries a dismal prognosis. The objective of this study is to develop a machine learning (ML) model that predicts the risk of RCC with LM, which is used to assist clinical treatment.

Crosstalk between 5-methylcytosine and N-methyladenosine machinery defines disease progression, therapeutic response and pharmacogenomic landscape in hepatocellular carcinoma.

Background: Accumulated evidence highlights the significance of the crosstalk between epigenetic and epitranscriptomic mechanisms, notably 5-methylcytosine (5mC) and N-methyladenosine (mA). Herein, we conducted a widespread analysis regarding the crosstalk between 5mC and mA regulators in hepatocellular carcinoma (HCC).

Methods: Pan-cancer genomic analysis of the crosstalk between 5mC and mA regulators was presented at transcriptomic, genomic, epigenetic, and other multi-omics levels.

A comparison of clinical characteristics of psychiatric inpatients in three hospitals from Western China and America.

Background: Different countries have differences in social and cultural context and health system, which may affect the clinical characteristics of psychiatric inpatients. This study was the first to compare cross-cultural differences in the clinical characteristics of psychiatric inpatients in three hospitals from Western China and America.

Methods: Overall, 905 and 1318 patients from three hospitals, one in America and two in Western China, respectively, were included.

Protocatechuic acid reverses myocardial infarction mediated by β-adrenergic agonist via regulation of Nrf2/HO-1 pathway, inflammatory, apoptotic, and fibrotic events.

Myocardial infarction (MI) is an instant ischemic death of cardiomyocytes that remains a major global cause of mortalities. MI is accompanied by oxidative, inflammatory, apoptotic, and fibrotic insults. Protocatechuic acid (PCA) is a polyphenolic compound with various potent biological activities.

Incorporation of a machine learning pathological diagnosis algorithm into the thyroid ultrasound imaging data improves the diagnosis risk of malignant thyroid nodules.

Objective: This study aimed at establishing a new model to predict malignant thyroid nodules using machine learning algorithms.

Methods: A retrospective study was performed on 274 patients with thyroid nodules who underwent fine-needle aspiration (FNA) cytology or surgery from October 2018 to 2020 in Xianyang Central Hospital. The least absolute shrinkage and selection operator (lasso) regression analysis and logistic analysis were applied to screen and identified variables.

Effect of vitamin K on wound healing: A systematic review and meta-analysis based on preclinical studies.

In recent years, many studies have found that vitamin K is beneficial to wound healing. However, some research results seem to be in conflict. The purpose of this study was to evaluate the effect of vitamin K on wound healing.

gene polymorphisms and susceptibility to ischemic stroke in a Chinese Han population.

Objectives: Ischemic stroke (IS) is the major cause of death and disability. While previous studies confirmed that is closely associated with IS, the present study aimed to analyze the impact of gene polymorphisms on the IS susceptibility.

Methods: The present study genotyped six single nucleotide polymorphisms (SNPs) (including rs4736312, rs5017238, rs5301, rs5283, rs6410, and rs4534) of in peripheral blood samples from IS and control populations.

Retraction notice to "Zinc moderates circular RNA CircFOXP1 expression in order to regulate ferroptosis during lung adenocarcinoma" [Chem. Biol. Interact. 352 (25 January 2022) 109760].

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal).

A deep belief network-based clinical decision system for patients with osteosarcoma.

Osteosarcoma was the most frequent type of malignant primary bone tumor with a poor survival rate mainly occurring in children and adolescents. For precision treatment, an accurate individualized prognosis for Osteosarcoma patients is highly desired. In recent years, many machine learning-based approaches have been used to predict distant metastasis and overall survival based on available individual information.

Development and validation of a machine learning model to predict the risk of lymph node metastasis in renal carcinoma.

Simple Summary: Studies have shown that about 30% of kidney cancer patients will have metastasis, and lymph node metastasis (LNM) may be related to a poor prognosis. Our retrospective study aims to provide a reliable machine learning-based model to predict the occurrence of LNM in kidney cancer. We screened the pathological grade, liver metastasis, M staging, primary site, T staging, and tumor size from the training group (n=39016) formed by the SEER database and the validation group (n=771) formed by the medical center.

Comparison of dosimetric effects of MLC positional errors on VMAT and IMRT plans for SBRT radiotherapy in non-small cell lung cancer.

The positional accuracy of multi-leaf collimators (MLC) is important in stereotactic body radiotherapy (SBRT). The aim of this study was to investigate the impact between MLC positional error and dosimetry of volume intensity modulated (VMAT) and general intensity modulated (IMRT) plans for non-small cell lung cancer (NSCLC). Fifteen patients with NSCLC were selected to design the 360 SBRT-VMAT plans and the 360 SBRT-IMRT error plans.

The correlation of serum sirt6 with clinical outcome and prognosis in patients with gastric cancer.

Background: We aimed to evaluate the correlation between serum sirtuin 6 (sirt6) level and clinicopathological characteristics and prognosis of gastric cancer (GC) patients.

Methods: The serum sirt6 levels of subjects (135 cases of GC, 68 cases of atrophic gastritis, 60 cases of healthy controls) were analyzed by enzyme-linked immunosorbent assay. The predictive and prognostic values of sirt6 serum level for GC were determined by performing receiver operating characteristic curve (ROC), Kaplan-Meier analysis, as well as univariate and multivariate Cox regression, respectively.

The role of stem cells in small-cell lung cancer: evidence from chemoresistance to immunotherapy.

Small cell lung cancer (SCLC) is the most aggressive subtype of lung cancer, accounting for approximately 15% among all lung cancers. Despite the ability of chemotherapy, the first-line treatment for SCLC, to rapidly shrink tumors, nearly all patients experience recurrence and metastasis within a few months. Cancer stem cells (CSCs) are a small population of tumor cells responsible for tumorigenesis, metastasis, and recurrence after treatment, which play a crucial role in chemoresistance by promoting DNA repair and expression of drug resistance-associated proteins.

Pulmonary Hypertension Caused by Fibrosing Mediastinitis.

Pulmonary hypertension (PH) is a progressive and severe disorder in pulmonary hemodynamics. PH can be fatal if not well managed. Fibrosing mediastinitis (FM) is a rare and benign fibroproliferative disease in the mediastinum, which may lead to pulmonary vessel compression and PH.

Application of Preoperative Adductor Canal Block Coupled with General Anaesthesia in Elderly Patients Undergoing Total Knee Arthroplasty.

Objective: To investigate the clinical application of preoperative adductor canal block combined with general anaesthesia in elderly patients with total knee arthroplasty.

Methods: Seventy-four patients scheduled for elective TKA in Shaanxi Nuclear Industry Hospital No. 215 were selected and were assigned into group A (continuous ACB prior to the induction of anaesthesia) and group B (continuous ACB after extraction of the tracheal catheter post-operatively) according to the random number table method.

Expression and significance of CDX2, FXR, and TGR5 in esophageal cancer.

This study explored the expression and significance of three critical morphogenesis genes in normal esophagus, reflux esophagitis (RE), Barrett's esophagus (BE), esophageal adenocarcinoma (EA), and esophageal squamous cell carcinoma (ESCC). Esophageal tissue samples and tissue microarrays were used. CDX2, FXR, and TGR5 protein expression were measured by immunohistochemistry in normal esophageal, RE, BE, EA, and ESCC tissues.

Establishment and Validation of a Machine Learning Prediction Model Based on Big Data for Predicting the Risk of Bone Metastasis in Renal Cell Carcinoma Patients.

Purpose: Since the prognosis of renal cell carcinoma (RCC) patients with bone metastasis (BM) is poor, this study is aimed at using big data to build a machine learning (ML) model to predict the risk of BM in RCC patients.

Methods: A retrospective study was conducted on 40,355 RCC patients in the SEER database from 2010 to 2017. LASSO regression and multivariate logistic regression analysis was performed to determine independent risk factors of RCC-BM.