A machine learning-based model to predict POD24 in follicular lymphoma: a study by the Chinese workshop on follicular lymphoma.

Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.

Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).

Risk analysis of cardiovascular toxicity in patients with lymphoma treated with CD19 CAR T cells.

Background: Anti-CD19 chimeric antigen receptor (CAR) T cell therapy is a common, yet highly efficient, cellular immunotherapy for lymphoma. However, many recent studies have reported on its cardiovascular (CV) toxicity. This study analyzes the cardiotoxicity of CD19 CAR T cell therapy in the treatment of lymphoma for providing a more valuable reference for clinicians.

Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology.

Objective: Rapid on-site evaluation (ROSE) of respiratory cytology specimens is a critical technique for accurate and timely diagnosis of lung cancer. However, in China, limited familiarity with the Diff-Quik staining method and a shortage of trained cytopathologists hamper utilization of ROSE. Therefore, developing an improved deep learning model to assist clinicians in promptly and accurately evaluating Diff-Quik stained cytology samples during ROSE has important clinical value.

The mediating role of aging attitudes between social isolation and self-neglect: a cross-sectional study of older adults living alone in rural China.

Background: Self-neglect is a significant global public health issue, compromising the health, safety, and well-being of older adults. Despite extensive research on the prevalence and risk factors of self-neglect, the underlying psychosocial mechanisms remain underexplored. Social isolation and aging attitudes have been identified as important correlates of self-neglect; however, the precise interplay between these variables, particularly the mediating role of aging attitudes, has yet to be fully examined in the context of rural older adults.

Machine learning based identification of an amino acid metabolism related signature for predicting prognosis and immune microenvironment in pancreatic cancer.

Background: Pancreatic cancer is a highly aggressive neoplasm characterized by poor diagnosis. Amino acids play a prominent role in the occurrence and progression of pancreatic cancer as essential building blocks for protein synthesis and key regulators of cellular metabolism. Understanding the interplay between pancreatic cancer and amino acid metabolism offers potential avenues for improving patient clinical outcomes.

Association between alcohol consumption and risk of type 2 diabetes in Japan: a population-base longitudinal cohort study.

Heavy alcohol consumption is a known risk factor for type 2 diabetes (T2D), However, the moderating effect of fasting plasma glucose (FPG) levels remains unclear. This study explores the relationship between alcohol intake and T2D risk across FPG strata in a Japanese cohort. Data from 15,453 participants in the NAGALA cohort were analyzed over 5.

Mechanistic evaluation of enhanced graphene toxicity to Bacillus induced by humic acid adsorption.

The extensive application of graphene nanosheets (GNSs) has raised concerns over risks to sensitive species in the aquatic environment. The humic acid (HA) corona is traditionally considered to reduce GNSs toxicity. Here, we evaluate the effect of sorbed HA (GNSs-HA) on the toxicity of GNSs to Gram positive Bacillus tropicus.

Preoperative estimated glomerular filtration rate to predict cardiac events in major noncardiac surgery: a secondary analysis of two large international studies.

Background: Optimised use of kidney function information might improve cardiac risk prediction in noncardiac surgery.

Methods: In 35,815 patients from the VISION cohort study and 9219 patients from the POISE-2 trial who were ≥45 yr old and underwent nonurgent inpatient noncardiac surgery, we examined (by age and sex) the association between continuous nonlinear preoperative estimated glomerular filtration rate (eGFR) and the composite of myocardial injury after noncardiac surgery, nonfatal cardiac arrest, or death owing to a cardiac cause within 30 days after surgery. We estimated contributions of predictive information, C-statistic, and net benefit from eGFR and other common patient and surgical characteristics to large multivariable models.

Individualised acute normovolaemic haemodilution for non-cardiac surgery with anticipated high-dose red cell transfusion: study protocol for a randomised controlled trial in West China Hospital of Sichuan University.

Introduction: Acute normovolaemic haemodilution (ANH) is a perioperative blood management technique involving the removal of whole blood and simultaneous infusion of colloids or crystalloids to achieve haemodilution while maintaining normovolaemia. However, its efficacy in reducing the requirement for perioperative allogeneic blood transfusion remains controversial due to inconsistent findings in the literature. An individualised red cell transfusion strategy, guided by the West China Liu's Score, has demonstrated effectiveness in reducing the need for allogeneic red cell transfusion.

Association between chronic respiratory diseases and frailty in Chinese elderly: a population-based longitudinal study.

Background: Chronic respiratory diseases (CRDs) have been shown to be associated with frailty, but these findings have not yet reached a consensus. The aim of this study was to investigate the association between CRDs and frailty in the elderly using a nationally representative data from China.

Methods: Data from the China Health and Retirement Longitudinal Study (CHARLS) were analysed, including 3309 frailty-free participants followed for three waves from 2011.

A competitive aptamer binding-based CRISPR-cas biosensor for sensitive detection of tetracycline residues in biological samples.

Tetracycline (TC) is widely used in veterinary medicine and animal feed; however, TC residues in food pose a risk to human health. Thus, the sensitive and selective detection of TC is needed to ensure food safety. Herein, we developed a CRISPR-Cas12a biosensor with competitive aptamer binding to detect TC residues.

Indocyanine green highlights the lymphatic drainage pathways, enhancing the effectiveness of radical surgery for mid-low rectal cancer: A non-randomized controlled prospective study.

Background: Fluorescence-guided lymphadenectomy (FLND) using indocyanine green (ICG) has emerged as a promising technique to enhance the accuracy of lymphadenectomy in rectal cancer surgery. Effective lymphadenectomy is crucial for improving prognosis in patients with advanced rectal cancer, but it remains technically challenging and controversial.

Methods: This prospective nonrandomized controlled study was conducted involving 129 patients underwent laparoscopic surgery, and 64 patients assisted by FLND.

A self-assembled fluorescent nanoprobe recognized by FA1 site for specifically selecting HSA: Its applications in hemin detection, cell imaging and fluorescent tracing drug delivery.

As naturally essential biomacromolecule, HSA has become diagnostic indicators for various diseases and universal carriers for anticancer drug delivery, therefore, fluorescence detection and labeling for HSA possess significant application value in the biomedical field. In this paper, hydrazide Schiff base fluorescent probe NDQC was designed and synthesized, which self-assembled into nanoparticles in aqueous solution system and demonstrated excellent selectivity and sensitivity towards HSA. Through displacement assay and molecular docking simulation, the binding of NDQC with HSA in FA1 site was demonstrated, thereby no obvious fluorescence signal presented for homologous protein BSA due to their structural differences in binding site.

N6-methyladenosine modification of 3'tRF-AlaAGC impairs PD-1 blockade efficacy by promoting lactic acid accumulation in the tumor microenvironment of gastric carcinoma.

The balance between CD8 T cells and regulatory T (Treg) cells in the tumor microenvironment (TME) plays a crucial role in the immune checkpoint inhibition (ICI) therapy in gastric carcinoma (GC). However, related factors leading to the disturbance of TME and resistance to ICI therapy remain unknown. In this study, we applied N6-methyladenosine (m6A) small RNA Epitranscriptomic Microarray and screened out 3'tRF-AlaAGC based on its highest differential expression level and lowest inter-group variance.

Vascular endothelial growth factor receptor-1 (FLT1) interactions with amyloid-beta in Alzheimer's disease: A putative biomarker of amyloid-induced vascular damage.

We have identified FLT1 as a protein that changes during Alzheimer's disease (AD) whereby higher brain protein levels are associated with more amyloid, more tau, and faster longitudinal cognitive decline. Given FLT1's role in angiogenesis and immune activation, we hypothesized that FLT1 is upregulated in response to amyloid pathology, driving a vascular-immune cascade resulting in neurodegeneration and cognitive decline. We sought to determine (1) if in vivo FLT1 levels (CSF and plasma) associate with biomarkers of AD neuropathology or differ between diagnostic staging in an aged cohort enriched for early disease, and (2) whether FLT1 expression interacts with amyloid on downstream outcomes, such as phosphorylated tau levels and cognitive performance.

Bitter acids from Humulus lupulus L. alleviate D-galactose induced osteoblastic senescence and bone loss via regulating AKT/mTOR-mediated autophagy.

Bitter acids (BA) are main component of Humulus lupulus L. (hops). They are known for beer brewing and have various biological and pharmacological properties, especially the bone-protective effect confirmed by our previous in vivo study.

Diagnosis of lymph node metastasis in oral squamous cell carcinoma by an MRI-based deep learning model.

Background: Cervical lymph node metastasis (LNM) is a well-established poor prognosticator of oral squamous cell carcinoma (OSCC), in which occult metastasis is a subtype that makes prediction challenging. Here, we developed and validated a deep learning (DL) model using magnetic resonance imaging (MRI) for the identification of LNM in OSCC patients.

Methods: This retrospective diagnostic study developed a three-stage DL model by 45,664 preoperative MRI images from 723 patients in 10 Chinese hospitals between January 2015 and October 2020.

Estimating cardiovascular mortality in patients with hypertension using machine learning: The role of depression classification based on lifestyle and physical activity.

Purpose: This study aims to harness machine learning techniques, particularly the Random Survival Forest (RSF) model, to assess the impact of depression on cardiovascular disease (CVD) mortality among hypertensive patients. A key objective is to elucidate the interplay between mental health, lifestyle, and physical activity while comparing the effectiveness of the RSF model against the traditional Cox proportional hazards model in predicting CVD mortality.

Methods: Data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007 to 2014 were used for comprehensive depression screening.

Genetic evidence of the causal relationships between psychiatric disorders and cardiovascular diseases.

Objective: Our primary objective is to investigate the causal relationships between 12 psychiatric disorders (PDs) and atrial fibrillation (AF), coronary artery disease (CAD), myocardial infarction (MI), and heart failure (HF).

Methods: Firstly, we used linkage disequilibrium score regression to calculate the genetic correlations between 12 PDs and 4 cardiovascular diseases (CVDs). Subsequently, we performed two-sample and bidirectional Mendelian randomization (MR) analyses of phenotypes with significant genetic correlations to explore the causal relationships between PDs and CVDs.

Aidi injection inhibits the migration and invasion of gefitinib-resistant lung adenocarcinoma cells by regulating the PLAT/FAK/AKT pathway.

Background: With extended gefitinib treatment, the therapeutic effect in some non-small cell lung cancer (NSCLC) patients declined with the development of drug resistance. Aidi injection (ADI) is utilized in various cancers as a traditional Chinese medicine prescription. This study explores the molecular mechanism by which ADI, when combined with gefitinib, attenuates gefitinib resistance in PC9GR NSCLC cells.

Anlotinib in combination with metronomic chemotherapy in HER2-negative metastatic breast cancer: an observational and retrospective study.

Anti-angiogenesis offers an important treatment strategy for metastatic breast cancer (MBC). Metronomic chemotherapy (MCT) provides antiangiogenic effects without increased toxicities, making it good partner for antiangiogenic therapy. We conducted the present retrospective study to evaluate the efficacy and safety of anlotinib plus MCT for HER2 negative MBC.

Altered 3D genome reorganization mediates precocious myeloid differentiation of aged hematopoietic stem cells in inflammation.

Inflammation is a driving force of hematopoietic stem cells (HSCs) aging, causing irreversible exhaustion of functional HSCs. However, the underlying mechanism of HSCs erosion by inflammatory insult remains poorly understood. Here, we find that transient LPS exposure primes aged HSCs to undergo accelerated differentiation at the expense of self-renewal, leading to depletion of HSCs.

Impact of lymph node metastasis on immune microenvironment and prognosis in colorectal cancer liver metastasis: insights from multiomics profiling.

Background: This study aimed to investigate the prognostic impact of lymph node metastasis (LNM) on patients with colorectal cancer liver metastasis (CRLM) and elucidate the underlying immune mechanisms using multiomics profiling.

Methods: We enrolled patients with CRLM from the US Surveillance, Epidemiology, and End Results (SEER) cohort and a multicenter Chinese cohort, integrating bulk RNA sequencing, single-cell RNA sequencing and proteomics data. The cancer-specific survival (CSS) and immune profiles of the tumor-draining lymph nodes (TDLNs), primary tumors and liver metastasis were compared between patients with and without LNM.