Evolution of ceftazidime-avibactam resistance driven by mutations in double-copy to during treatment of ST11 carbapenem-resistant .

Unlabelled: carbapenemase (KPC) variants can contribute to resistance to ceftazidime-avibactam (CZA) in (KP). However, two-copy KPC variant-mediated resistance to CZA has rarely been reported to date. Here, we aimed to clarify the evolutionary trajectory of CZA resistance driven by mutations in double-copy to carried by the tandem core structure (IS-IS-IS) during treatment of ST11 carbapenem-resistant (CRKP).

Network pharmacological mechanism analysis and evidence-based medical validation of Dahuang Mudan Decoction in the treatment of acute pancreatitis.

Background: Dahuang Mudan Decoction is commonly used in China for the treatment of acute pancreatitis. Nevertheless, the therapeutic efficacy of the drug remains a subject of debate, and its active ingredients and potential therapeutic targets remain to be determined. The present study used a network pharmacological approach to investigate the active ingredients and possible targets of the drug, and illustrated the clinical effectiveness of Dahuang Mudan Decoction in the treatment of acute pancreatitis by meta-analysis.

The role of lipid species in Alzheimer's disease onset: A comprehensive Mendelian randomization analysis.

Background: Alzheimer's disease (AD) remains a significant global health challenge, with its etiology intricately linked to a variety of genetic and environmental factors. Among these, lipid metabolism has been hypothesized to play a crucial role, though the causal pathways remain inadequately elucidated. This study aims to employ Mendelian Randomization (MR) to unravel the potential causal relationships between a comprehensive array of lipid species and the risk of developing AD.

A new insight into the mechanism of dichlorodiphenyltrichloroethane-induced hepatotoxicity based on GSDME-mediated pyroptosis.

There have been persistent concerns about the safety risks associated with DDT residues in the environment. Studies have shown that exposure to DDT or its metabolites can cause various liver diseases. However, the mechanisms of liver toxicity haven't been well studied.

Nitrile hydratase as a promising biocatalyst: recent advances and future prospects.

Amides are an important type of synthetic intermediate used in the chemical, agrochemical, pharmaceutical, and nutraceutical industries. The traditional chemical process of converting nitriles into the corresponding amides is feasible but is restricted because of the harsh conditions required. In recent decades, nitrile hydratase (NHase, EC 4.

A modified GLIM criteria-based nomogram for the survival prediction of gastric cancer patients undergoing surgical resection.

Background: This study aimed to develop a comprehensive model based on five GLIM variables to predict the individual survival and provide more appropriate patient counseling.

Methods: This retrospective cohort study included 301 gastric cancer (GC) patients undergoing radical resection. C-reactive protein (CRP) as an inflammatory marker was included in GLIM criteria and a nomogram for predicting 5-year overall survival (OS) in GC patients was established.

Investigating the effects of Ginkgo biloba leaf extract on cognitive function in Alzheimer's disease.

Aims: Alzheimer's disease (AD) is a neurodegenerative disorder with limited treatment options. This study aimed to investigate the therapeutic effects of Ginkgo biloba leaf extract (GBE) on AD and explore its potential mechanisms of action.

Methods: Key chemical components of GBE, including quercetin, luteolin, and kaempferol, were identified using network pharmacology methods.

SHP2-Triggered Endothelial Cell Activation Fuels Estradiol-Independent Endometrial Sterile Inflammation.

Sterile inflammation occurs in various chronic diseases due to many nonmicrobe factors. Examples include endometrial hyperplasia (EH), endometriosis, endometrial cancer, and breast cancer, which are all sterile inflammation diseases induced by estrogen imbalances. However, how estrogen-induced sterile inflammation regulates EH remains unclear.

Evaluation of the invasiveness of pure ground-glass nodules based on dual-head ResNet technique.

Objective: To intelligently evaluate the invasiveness of pure ground-glass nodules with multiple classifications using deep learning.

Methods: pGGNs in 1136 patients were pathologically confirmed as lung precursor lesions [atypical adenomatous hyperplasia (AAH) and adenocarcinoma in situ (AIS)], minimally invasive adenocarcinoma (MIA), or invasive adenocarcinoma (IAC). Four different models [EfficientNet-b0 2D, dual-head ResNet_3D, a 3D model combining three features (3D_3F), and a 3D model combining 19 features (3D_19F)] were constructed to evaluate the invasiveness of pGGNs using the EfficientNet and ResNet networks.

Curcumin for gastric cancer: Mechanism prediction network pharmacology, docking, and experiments.

Background: Curcumin originates from the natural herb turmeric, and its antitumor effects have been known about for a long time. However, the mechanism by which curcumin affects gastric cancer (GC) has not been elucidated

Aim: To elucidate the potential mechanisms of curcumin in the treatment of GC.

Methods: Network pharmacological approaches were used to perform network analysis of Curcumin.

Case report: A1159T mutation in malignant peritoneal mesothelioma may be associated with tumor recurrence.

Malignant peritoneal mesothelioma is an exceedingly rare malignant tumor. Herein, we present a case of malignant peritoneal mesothelioma in a 59-year-old Chinese female patient who was stable after treatment for multiple relapses. Imaging revealed massive ascites and an irregular thickening of the peritoneal mesangium.

Meta-analysis of gut microbiota biodiversity in patients with polycystic ovary syndrome based on medical images.

PCOS is thought to be associated with metabolic disorders, endocrine disorders, and reproductive system problems. By collecting relevant literature and conducting meta-analyses, we integrated data from multiple studies to enhance the reliability of the analysis results. Studies with medical image data were selected to ensure the accuracy and credibility of the studies.

Performance of artificial intelligence in predicting the prognossis of severe COVID-19: a systematic review and meta-analysis.

Background: COVID-19-induced pneumonia has become a persistent health concern, with severe cases posing a significant threat to patient lives. However, the potential of artificial intelligence (AI) in assisting physicians in predicting the prognosis of severe COVID-19 patients remains unclear.

Methods: To obtain relevant studies, two researchers conducted a comprehensive search of the PubMed, Web of Science, and Embase databases, including all studies published up to October 31, 2023, that utilized AI to predict mortality rates in severe COVID-19 patients.

Uncovering the symptom relationship among sleep quality, anxiety, and depression in Chinese patients with breast cancer: multidimensional data validation using PSQI versus actigraphy.

Purpose: The interplay between sleep quality, anxiety, and depression among breast cancer patients remains poorly understood. This study aimed to investigate and compare the symptoms relationships among these three factors in Chinese breast cancer patients, utilizing two sleep assessments.

Methods: Our study encompassed 288 participants diagnosed with breast cancer, from whom we collected demographic information through questionnaires.

Network Pharmacology Followed by Experimental Validation to Explore the Mechanism of Stigmasterol in Sangbaipi Decoction Regulating PI3K/Akt Signaling to Alleviate Acute Exacerbation of Chronic Obstructive Pulmonary Disease.

Purpose: Sangbaipi decoction (SBPD), a traditional Chinese medicine (TCM) prescription, has been widely used to treat acute exacerbation of chronic obstructive pulmonary disease (AECOPD), while the underlying pharmacological mechanism remains unclear due to the complexity of composition.

Methods: A TCM-active ingredient-drug target network of SBPD was constructed utilizing the TCM-Systems-Pharmacology database. AECOPD-relevant proteins were gathered from Gene Cards and the Online-Mendelian-Inheritance-in-Man database.