Development and Validation of a Prognostic Nomogram Model for HER2-Positive Male Breast Cancer Patients.

Background: HER2-positive male breast cancer (MBC) is a rare condition that has a poor prognosis. The purpose of this study was to establish a nomogram model for predicting the prognosis of HER2-positive MBC patients.

Methods: 240 HER2-positive MBC patients from 2004 to 2015 were retrieved from the surveillance, epidemiology, and end results (SEER) database.

A machine learning model based on clinical features and ultrasound radiomics features for pancreatic tumor classification.

Objective: This study aimed to construct a machine learning model using clinical variables and ultrasound radiomics features for the prediction of the benign or malignant nature of pancreatic tumors.

Methods: 242 pancreatic tumor patients who were hospitalized at the First Affiliated Hospital of Guangxi Medical University between January 2020 and June 2023 were included in this retrospective study. The patients were randomly divided into a training cohort (n=169) and a test cohort (n=73).

Expression and significance of Fractalkine/CX3CL1 in MPO-AAV-associated glomerulonephritis rats.

Objective: To investigate the expression and significance of Fractalkine (CX3CL1, FKN) in serum and renal tissue of myeloperoxidase and anti-neutrophil cytoplasmic antibody associated vasculitis (MPO-AAV) rats.

Methods: Thirty Wistar-Kyoto (WKY) rats were randomly divided into: Control group, MPO-AAV group (400 µg/kg MPO mixed with Freund's complete adjuvant i.p), MPO-AAV + Anti-FKN group (400 µg/kg MPO mixed with Freund's complete adjuvant i.

Prognostic value of plasma Aβ1-40 for Alzheimer's disease.

Objective: To investigate the clinical significance of plasma p-amyloid 1-40 (Aβ1-40) in patients with Alzheimer's disease (AD).

Methods: In this retrospective study, the clinical data of 305 patients, with or without Alzheimer's disease (AD), who were treated at the Affiliated Hospital of Youjiang Medical University for Nationalities and the People's Hospital of Baise between January 2018 and December 2021 were analyzed. Patients were divided into two groups: an AD group (n=147) and a non-AD group (without AD, n=158 cases).

Logistic regression analysis of risk factors for pediatric burns: a case-control study in underdeveloped minority areas in China.

Background: Pediatric burns are common, especially in underdeveloped countries, and these can physically affect the children involved and have an impact on their mental health. The aim of the present study was to assess the effect of pediatric burns in underdeveloped minority areas of China.

Methods: Case information from 192 children was collected from outpatient and inpatient clinics using a survey questionnaire.

Rapid detection of multidrug resistance in tuberculosis using nanopore-based targeted next-generation sequencing: a multicenter, double-blind study.

Background: Resistance to anti-tuberculous drugs is a major challenge in the treatment of tuberculosis (TB). We aimed to evaluate the clinical availability of nanopore-based targeted next-generation sequencing (NanoTNGS) for the diagnosis of drug-resistant tuberculosis (DR-TB).

Methods: This study enrolled 253 patients with suspected DR-TB from six hospitals.

GPX8 regulates pan-apoptosis in gliomas to promote microglial migration and mediate immunotherapy responses.

Introduction: Gliomas have emerged as the predominant brain tumor type in recent decades, yet the exploration of non-apoptotic cell death regulated by the pan-optosome complex, known as pan-apoptosis, remains largely unexplored in this context. This study aims to illuminate the molecular properties of pan-apoptosis-related genes in glioma patients, classifying them and developing a signature using machine learning techniques.

Methods: The prognostic significance, mutation features, immunological characteristics, and pharmaceutical prediction performance of this signature were comprehensively investigated.

Transcriptome-based analysis of the toxic effects of aluminum chloride exposure on spermatocytes.

Aluminum chloride (AlCl) exposure is pervasive in our daily lives. Numerous studies have demonstrated that exposure to AlCl can lead to male reproductive toxicity. However, the precise mechanism of action remains unclear.

Potential effective diagnostic biomarker in patients with primary and metastatic small intestinal neuroendocrine tumors.

Small intestinal neuroendocrine tumors (SI-NETs) are the most common malignant tumors of the small intestine, with many patients presenting with metastases and their incidence increasing. We aimed to find effective diagnostic biomarkers for patients with primary and metastatic SI-NETs that could be applied for clinical diagnosis. We downloaded GSE65286 (training set) and GSE98894 (test set) from the GEO database and performed differential gene expression analysis to obtain differentially expressed genes (DEGs) and differentially expressed long non-coding RNAs (DElncRNAs).

Cyr61 Mediates Angiotensin II-Induced Podocyte Apoptosis via the Upregulation of TXNIP.

Purpose: It is well documented that angiotensin II (Ang II) elevation promotes apoptosis of podocytes and , but the potential mechanism is still oscular. The current study is aimed at probing into the assignment of cysteine-rich protein 61 (Cyr61) in Ang II-induced podocyte apoptosis.

Methods: Podocytes were treated with Ang II (10 mol/L) for 48 hours to establish an injury model in vitro.

Biomarker identification of immune-related genes in pheochromocytoma and paraganglioma.

Background: Although we have a good understanding of the diagnosis and treatment of pheochromocytoma and paraganglioma (PPGL), the underlying pathogenesis and molecular pathways of PPGL need to be further studied. This study aimed to use bioinformatics to analyze the role of immune-related genes (IRGs) in the pathogenesis of PPGL.

Methods: GSE19422 and GSE60459 microarray data were obtained from the Gene Expression Omnibus (GEO) database.

High GNG4 predicts adverse prognosis for osteosarcoma: Bioinformatics prediction and experimental verification.

Background: Guanine nucleotide binding (G) protein subunit γ 4 (GNG4) is closely related to the malignant progression and poor prognosis of various tumours. However, its role and mechanism in osteosarcoma remain unclear. This study aimed to elucidate the biological role and prognostic value of GNG4 in osteosarcoma.

To explore the active constituents of in the treatment of coronary heart disease based on network pharmacology and molecular docking methodology.

Background: There is a lack of effective drugs for the treatment of coronary heart disease (CHD). (SL) has multiple effects, and there is no report on CHD in SL at present. The aim of this study is to explore the mechanisms of action of SL in the treatment of CHD based on network pharmacology and molecular docking technology.

Screening of atrial fibrillation diagnostic markers based on a GEO database chip and bioinformatics analysis.

Background: Study have shown that atrial fibrillation (AF) is a disease with genetic risk, and its pathogenesis is still unclear. This study sought to screen the gene microarray data of AF patients and to perform a bioinformatics analysis to identify AF signature diagnostic genes.

Methods: The AF gene sets from the Gene Expression Omnibus (GEO) database were screened, and the differentially expressed genes (DEGs) were identified after the normalization of the data set by R software.

Identifying circRNA-miRNA interaction based on multi-biological interaction fusion.

CircRNA is a new type of non-coding RNA with a closed loop structure. More and more biological experiments show that circRNA plays important roles in many diseases by regulating the target genes of miRNA. Therefore, correct identification of the potential interaction between circRNA and miRNA not only helps to understand the mechanism of the disease, but also contributes to the diagnosis, treatment, and prognosis of the disease.

Bioinformatics analysis of the key genes in osteosarcoma metastasis and immune invasion.

Background: This study sought to identify potential key genes for osteosarcoma metastasis and analyze their immune infiltration patterns using bioinformatic methods.

Methods: We obtained transcriptomic data related to osteosarcoma and osteosarcoma with metastasis from the Therapeutically Applicable Research to Generate Effective Treatment (TARGET) and The Gene Expression Omnibus (GEO) databases and identified the differentially expressed genes (DEGs). We also identified potential key genes for osteosarcoma metastasis by a protein-protein interaction network analysis, and we conducted a Gene Ontology (GO) functional annotation analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis to identify the core genes for prognosis, immune cell infiltration, and drug sensitivity, and the risk prediction and prognosis models of metastasis were constructed.

Differential expression and significance of peripheral blood genes in coronary artery heart disease.

Background: The peripheral blood gene expression profile of patients with coronary artery disease (CAD) has not been fully resolved. The aim of this study was to further analyze the peripheral blood transcriptome information of CAD patients and to uncover key genes and regulatory mechanisms in the pathogenesis and disease progression of CAD.

Methods: The Gene Expression Omnibus (GEO) database was applied to screen out differentially expressed genes (DEGs) in the peripheral blood of CAD patients, and the DEGs were subjected to Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA).

Esketamine prevents propofol-induced injection pain: Randomized controlled trial.

Propofol is widely used during anesthesia. However, propofol-induced injection pain (PIP) is considered an unpleasant perioperative outcome. This study aimed to investigate the efficacy of a mixture of esketamine and propofol in preventing propofol injection pain in patients undergoing general anesthesia.

Effects of chronic kidney disease on cognitive function and α-klotho expression in hippocampus.

Background: Alpha-klotho (α-KL) is not only related to the regulation of calcium-phosphorus metabolism, and fibrosis in chronic kidney disease (CKD), it is also involved in the regulation of many cognitive disorders. We conducted this study to investigate the effects of CKD on cognitive dysfunction and α-KL.

Methods: Doxorubicin was used to induce a CKD model, which was validated by weight, 24-hour urine protein quantification, serum creatinine (Cr), blood urea nitrogen (BUN), and kidney hematoxylin-eosin (HE) staining.

The population incidence of thalassemia gene variants in Baise, Guangxi, P. R. China, based on random samples.

Objective: Thalassemia is a monogenic genetic disorder with a high prevalence in populations in the southern region of China. The thalassemia gene prevalence rate in the Baise population in China is high, and several rare gene variants have been detected in the population of this region during routine testing by our study group. To accurately reveal the thalassemia gene variants carried by the population in Baise, and to provide a basis for the formulation of thalassemia prevention and control policies in the region, we conducted a more comprehensive study in a randomly selected population.

Predicting the Risk of Diabetic Foot Ulcers From Diabetics With Dysmetabolism: A Retrospective Clinical Trial.

Background: Diabetic foot ulcer (DFU) in patients with type 2 diabetes mellitus (T2D) often leads to amputation. Early intervention to prevent DFU is urgently necessary. So far, there have been no studies on predictive models associated with DFU risk factors.

Bioinformatics analysis combined with experiments to verify potential autophagy genes in wound healing.

Background: The skin is the most exposed tissue and has multiple functions. Wound healing is a major medical problem due to trauma and pathophysiological alterations suffered by patients. The aim of the present study was to search for potential autophagy genes associated with wound healing.

Bioinformatics analysis identifies diagnostic biomarkers and their correlation with immune infiltration in diabetic nephropathy.

Background: Diabetic nephropathy (DN) is a major cause of end-stage renal disease (ESRD). Currently, microalbuminuria is mainly used as a diagnostic indicator of DN, but there are still limitations and lack of immune-related diagnostic markers. In this study, we aimed to explore diagnostic biomarkers associated with immune infiltration of DN.

Identification of autophagy-related genes as potential biomarkers for type 1 diabetes mellitus.

Background: Type 1 diabetes mellitus (T1DM) is a metabolic disease in which the autoimmune destruction of pancreatic islet β-cells occurs. This study sought to investigate the role of autophagy-related genes and immune cells in the development of T1DM.

Methods: We acquired the raw gene expression profiles of 302 T1DM and 422 normal control peripheral blood samples from the Gene Expression Omnibus (GEO) database.