FoxO3a: capture the bond between magnesium and diabetic kidney disease.

Hyperglycemia in Diabetic Kidney Disease (DKD) induces excessive accumulation of reactive oxygen species (ROS) through various pathways, leading to oxidative stress, ferroptosis, and mitochondrial dysfunction, which collectively contribute to kidney damage. Currently, the treatment of DKD remains a significant challenge. Magnesium, an essential mineral, has emerged as a promising therapeutic agent for DKD due to its anti-inflammatory and antioxidant properties.

Dynamic changes of Ct values of N gene and ORF1ab genes and laboratory parameters in patients with COVID-19 caused by SARS-CoV-2 B.1, BA.2, and BA.5 variants and their correlation with clinical characteristics.

Objective: To characterize the dynamic patterns of ORF1ab and N gene Ct values in oropharyngeal swabs from COVID-19 patients infected with different SARS-CoV-2 variants and assess their clinical and laboratory correlations.

Methods: We conducted a retrospective cohort study of 259 COVID-19 patients hospitalized in Jilin Province between 2021-2023. Comparative analyses were performed on: (1) variant-specific Ct value trajectories for ORF1ab and N genes, (2) nucleic acid conversion times, and (3) longitudinal hematological and biochemical parameters.

L-shaped nonlinear relationship between magnesium intake from diet and supplements and the risk of diabetic nephropathy: a cross-sectional study.

Background And Objectives: Given the ongoing controversy regarding the relationship between magnesium and diabetic nephropathy (DN), this study systematically evaluate the association between total magnesium intake from both dietary and supplemental sources and the risk of DN, and further explore its potential nonlinear dose-response pattern and threshold effect.

Methods: Data were from the National Health and Nutrition Examination Survey 2007-2018. A multi-step analytical strategy was adopted: (1) confounders were selected using variance inflation factor and Boruta feature selection algorithm; (2) weighted multivariable logistic regression assessed the association between magnesium intake and DN; (3) restricted cubic splines (RCS), generalized additive models (GAM), and curve fitting were used to evaluate nonlinear dose-response trends; (4) piecewise regression identified potential thresholds; (5) subgroup analyses examined interactions across age, gender, BMI, hypertension, and cardiovascular disease.

Pertussis resurgence: epidemiological trends, pathogenic mechanisms, and preventive strategies.

Pertussis, also known as whooping cough, is a highly contagious acute respiratory infection primarily caused by . Although this disease can occur at any age, infants and young children remain the most vulnerable to severe illness and mortality. Moreover, epidemiological trends indicate a notable shift in the incidence of pertussis over time, with an increasing number of reported cases in adolescents and adults.

Implantable hydrogel-based scaffold integrating cascaded chemotherapy and self-amplified immunotherapy to suppress postsurgical tumor recurrence.

Tumor recurrence following surgical resection remains a formidable clinical challenge, as conventional adjuvant therapies are often constrained by chemoresistance and chemotherapy-associated complications. To circumvent these limitations, we engineered a modular, three-dimensional (3D)-printed hydrogel-based scaffold for synergistic chemotherapy and immunotherapy. The scaffold, composed of soybean isolate protein, polyvinyl alcohol, sodium alginate, and magnesium acetate, was loaded with doxorubicin (DOX) and tirapazamine (TPZ) to establish a sequential therapeutic cascade.

Establishment and Comparison of Fluorescence-Based T6SS Activity Detection Methods in Acinetobacter baumannii.

The Type VI Secretion System (T6SS) is a crucial mechanism mediating intercellular interactions in Gram-negative bacteria, particularly in pathogenic species such as Acinetobacter baumannii. Previous studies have shown that the large plasmid pAB3 in the A. baumannii ATCC 17978 strain encodes a TetR-like protein that inhibits the expression of core T6SS genes.

Machine Learning-Based Prediction of In-Hospital Mortality in Severe COVID-19 Patients Using Hematological Markers.

The mortality rate is very high in patients with severe COVID-19. Nearly 32% of COVID-19 patients are critically ill, with mortality rates ranging from 8.1% to 33%.

Susceptibility from the immunological perspective of COVID-19-associated pulmonary aspergillosis: A literature review.

The incidence rate of COVID-19-associated pulmonary aspergillosis (CAPA) is rising. However, the pathogenesis of CAPA remains unclear. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection disrupts pathways related to type I interferon and Toll-like receptors, key components in innate immunity, thereby elevating the incidence of CAPA.

Development and Validation of Predictive Models for Inflammatory Bowel Disease Diagnosis: A Machine Learning and Nomogram-Based Approach.

Background: Inflammatory bowel disease (IBD) is a chronic, incurable gastrointestinal disease without a gold standard for diagnosis. This study aimed to develop predictive models for diagnosing IBD, Crohn's disease (CD), and Ulcerative colitis (UC) by combining two approaches: machine learning (ML) and traditional nomogram models.

Methods:  Cohorts 1 and 2 comprised data from the UK Biobank (UKB), and the First Hospital of Jilin University, respectively, which represented the initial laboratory tests upon admission for 1135 and 237 CD patients, 2192 and 326 UC patients, and 1798 and 298 non-IBD patients.

Development of machine learning-based differential diagnosis model and risk prediction model of organ damage for severe Mycoplasma pneumoniae pneumonia in children.

Severe Mycoplasma pneumoniae pneumonia (SMPP) poses significant diagnostic challenges due to its clinical features overlapping with those of other common respiratory diseases. This study aims to develop and validate machine learning (ML) models for the early identification of SMPP and the risk prediction for liver and heart damage in SMPP using accessible laboratory indicators. Cohort 1 was divided into SMPP group and other respiratory diseases group.

Risk factors associated with Helicobacter pylori infection in the urban population of China: A nationwide, multi-center, cross-sectional study.

Objectives: To assess the risk factors associated with Helicobacter pylori infection in the urban Chinese population.

Methods: The study was conducted from March to November 2023, including 12,902 urban participants aged 18-60 years across 52 cities distributed over 26 provinces in China. Risk factors included socioeconomic status, lifestyles, and public understanding.

Development of a fully automated latex-enhanced immunoturbidimetric method for quantitative serum Lp(a) measurement.

Background: Lipoprotein (a) [Lp(a)] is a critical factor in cardiovascular health, composed of low-density lipoprotein-like particles bound to apolipoprotein (a). Elevated Lp(a) levels are associated with an increased risk of cardiovascular diseases (CVD), accelerating disease progression and raising CVD-related mortality. However, the lack of standardized measurement methods for Lp(a) contributes to diagnostic uncertainties in this area.

Cascaded immunotherapy with implantable dual-drug depots sequentially releasing STING agonists and apoptosis inducers.

Non-nucleotide stimulators of interferon gene (STING) agonists hold promise as immunotherapeutic agents for postsurgical adjuvant treatment of tumors. However, their limited effect duration hampers therapeutic effectiveness, necessitating prolonged administration of multiple doses that heightens infection risk and impacts patient compliance. Here, we develop an implantable dual-drug depot in a sandwich-like configuration, with a non-nucleotide STING agonist (MSA-2) in the outer layers of 3D-printed scaffolds and an immunogenic apoptosis inducer (doxorubicin, DOX) in the inner layer of electrospun fibers.

Loss of MNX1 Sensitizes Tumors to Cytotoxic T Cells by Degradation of PD-L1 mRNA.

Immune checkpoint blockade (ICB) therapy, targeting programmed cell death ligand-1 (PD-L1)/programmed cell death protein 1 (PD-1) axis and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), has exhibited amazing clinical outcomes in various types of cancers. However, only a small portion of patients benefit from ICB therapy, indicating that the mechanism underlying immune checkpoint is still unclear. Here, it is reported that motor neuron and pancreas homeobox 1 (MNX1), a homeobox domain-containing transcription factor, contributes to the tumor immune escape.

The effect and application of adiponectin in hepatic fibrosis.

Hepatic fibrosis, a degenerative liver lesion, significantly contributes to the deterioration and mortality among patients with chronic liver diseases. The condition arises from various factors including toxins, such as alcohol, infections like different types of viral hepatitis, and metabolic diseases. Currently, there are no effective treatments available for liver fibrosis.

Preparation and Characterization of C-Reactive Protein Dual-Particle Latex-Enhanced Immunoturbidimetric Reagents.

This study aims to couple C-reactive protein (CRP) antibodies onto latex spheres of 2 different sizes to enhance the accuracy and sensitivity of CRP detection. Furthermore, it seeks to establish a robust methodological framework crucial for advancing the development of latex-enhanced immunoturbidimetric detection reagents. CRP, an acute-phase protein, rapidly elevates in response to infections or tissue damage.

Gut Microbiota-Mediated hsa_circ_0126925 Targets BCAA Metabolic Enzyme BCAT2 to Exacerbate Colorectal Cancer Progression.

Recent evidence indicates that a high-fat diet can promote tumor development, especially colorectal cancer, by influencing the microbiota. Regulatory circular RNA (circRNA) plays an important role in modulating host-microbe interactions; however, the specific mechanisms by which circRNAs influence cancer progression by regulating these interactions remain unclear. Here, we report that consumption of a high-fat diet modulates the microbiota by specifically upregulating the expression of the noncoding RNA hsa_circ_0126925 (herein, referred to as circ_0126925) in colorectal cancer.

Leading edge biosensing applications based on AIE technology.

Luminescent materials provide a unique method for biological imaging. Luminescent probes can label molecules of interest and present luminescent signals. Bioluminescence bioimaging has shown great efficacy in environmental, live cell and animal studies.

Resistance to linezolid in Staphylococcus aureus by mutation, modification, and acquisition of genes.

Linezolid binds to the 50S subunit of the bacterial ribosome, inhibiting bacterial protein synthesis by preventing the formation of the initiation complex. Oxazolidinone antimicrobial drugs represent the last line of defense in treating Staphylococcus aureus infections; thus, resistance to linezolid in S. aureus warrants high priority.

Association between bowel movement disorders and depressive symptoms: a cross-sectional study.

Objectives: This study aimed to explore the association between bowel movement disorders and depression in adults.

Method: A cross-sectional study was conducted using data from the National Health and Nutritional Examination Survey (NHANES), 2005-2010. Depression, constipation, diarrhea, and fecal incontinence were self-reported via questionnaires.

Metabolomic characterization of COVID-19 survivors in Jilin province.

Background: The COVID-19 pandemic has escalated into a severe global public health crisis, with persistent sequelae observed in some patients post-discharge. However, metabolomic characterization of the reconvalescent remains unclear.

Methods: In this study, serum and urine samples from COVID-19 survivors (n = 16) and healthy subjects (n = 16) underwent testing via the non-targeted metabolomics approach using UPLC-MS/MS.

Design of Machine Learning Algorithms and Internal Validation of a Kidney Risk Prediction Model for Type 2 Diabetes Mellitus.

Objective: This study aimed to explore specific biochemical indicators and construct a risk prediction model for diabetic kidney disease (DKD) in patients with type 2 diabetes (T2D).

Methods: This study included 234 T2D patients, of whom 166 had DKD, at the First Hospital of Jilin University from January 2021 to July 2022. Clinical characteristics, such as age, gender, and typical hematological parameters, were collected and used for modeling.