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).

Pica practices, anemia, and oral health outcomes: a systemic review.

Objectives: Pica is a non-nutritive eating behavior. The potential impact of pica on oral health and the association between pica and anemia are understudied. We examined the current evidence on the relationship between pica practices, anemia, and oral health outcomes.

Unveiling the mechanism of action of a novel natural dual inhibitor of SARS-CoV-2 Mpro and PLpro with molecular dynamics simulations.

In the twenty-first century, we have witnessed multiple coronavirus pandemics. Despite declining SARS-CoV-2 cases, continued research remains vital. We report the discovery of sydowiol B, a natural product, as a dual inhibitor of SARS-CoV-2 main protease (Mpro) and papain-like protease (PLpro).

Predictive value of epicardial adipose tissue volume for early detection of left ventricular dysfunction in patients suspected of coronary artery disease.

Aim: To investigate the relationship between epicardial adipose tissue (EAT) and myocardial strain and the severity of coronary artery disease (CAD), and to evaluate the predictive value of EAT parameters in early left ventricular (LV) diastolic dysfunction.

Materials And Methods: One hundred seventy patients with suspected CAD who underwent both coronary computed tomography angiography and echocardiography were enrolled in 2020. LV global strains were calculated using commercial software.

Gut microbial metabolites: The bridge connecting diet and atherosclerosis, and next-generation targets for dietary interventions.

Mounting evidence indicates that gut microbial metabolites are central hubs linking the gut microbiota to atherosclerosis (AS). Gut microbiota enriched with pathobiont bacteria responsible for producing metabolites like trimethylamine N-oxide and phenylacetylglutamine are related to an increased risk of cardiovascular events. Furthermore, gut microbiota enriched with bacteria responsible for producing short-chain fatty acids, indole, and its derivatives, such as indole-3-propionic acid, have demonstrated AS-protective effects.

DNA methylation-based age estimation from semen: Genome-wide marker identification and model development.

DNA methylation at age-related CpG (AR-CpG) sites holds significant promise for forensic age estimation. However, somatic models perform poorly in semen due to unique methylation dynamics during spermatogenesis, and current studies are constrained by the limited coverage of methylation microarrays. This study aimed to identify novel semen-specific AR-CpG sites using double-enzyme reduced representation bisulfite sequencing (dRRBS) and validate these markers, alongside previously reported sites and neighboring CpGs, using bisulfite amplicon sequencing (BSAS) to develop robust age estimation models.

Tracheal mucosal keratosis: Case discussion and literature review.

A 57-year-old female presented with a chief complaint of cough, with productive yellow sputum particularly severe in the morning. Bronchoscopy revealed inflammatory changes in both main bronchi, with abundant white purulent secretions and necrotic material adhering to the luminal surface. Histopathological examination showed chronic inflammatory changes in the mucosal tissue, with mild hyperplasia of the local squamous epithelium and evidence of keratinization in the surrounding area, consistent with a diagnosis of tracheal mucosal keratosis.

Progress in antileishmanial drugs: Mechanisms, challenges, and prospects.

Leishmaniasis, a neglected tropical disease caused by Leishmania parasites, continues to pose global health challenges. Current treatments face issues like resistance, safety, efficacy, and cost. This review covers the discovery, mechanisms of action, clinical applications, and limitations of key antileishmanial agents: pentavalent antimonials, amphotericin B, miltefosine, paromomycin, and pentamidine.

Maternal phthalates exposure promotes neural stem cell differentiation into phagocytic astrocytes and synapse engulfment via IRE1α/XBP1s pathway.

Humans are widely exposed to phthalates, a common chemical plasticizer. Previous cohort studies have revealed that maternal exposure to monobutyl phthalate (MBP), a key metabolite of phthalates, is associated with neurodevelopmental defects. However, the molecular mechanism remains unclear.

Olfactory Dysfunction in Allergic Rhinitis.

Olfactory dysfunction (OD) can have serious consequences as it hinders individuals from detecting important warning signals like smoke, spoiled food, and gas leaks. This can significantly impact their nutritional status, eating satisfaction, and overall quality of life. Allergic rhinitis (AR) is a common disease that greatly affects the quality of life and can lead to a decrease, distortion, or complete loss of olfactory ability.

FAM107A Inhibits the Growth, Invasion and Aerobic Glycolysis of LUAD Cells by Regulating CRYAB/PI3K/AKT.

Lung adenocarcinoma (LUAD) is characterized by its aggressive nature and resistance to treatment. FAM107A is a tumor suppressor gene that has been found to possess inhibitory effects in several cancers, but its role in LUAD remains unclear. This study investigated the role of FAM107A in regulating LUAD cell growth, invasion and aerobic glycolysis and also investigated the potential underlying mechanisms.

Large-Scale Plasma Proteomics Improves Prediction of Peripheral Artery Disease in Individuals With Type 2 Diabetes: A Prospective Cohort Study.

Objective: Peripheral artery disease (PAD) is a significant complication of type 2 diabetes (T2D), yet the association between plasma proteomics and PAD in people with T2D remains unclear. We aimed to explore the relationship between plasma proteomics and PAD in individuals with T2D, and assess whether proteomics could refine PAD risk prediction.

Research Design And Methods: This cohort study included 1,859 individuals with T2D from the UK Biobank.

Correction: Relieving immunosuppression during long-term anti-angiogenesis therapy using photodynamic therapy and oxygen delivery.

Correction for 'Relieving immunosuppression during long-term anti-angiogenesis therapy using photodynamic therapy and oxygen delivery' by Qianyuan He , , 2020, , 14788-14800, https://doi.org/10.1039/D0NR02750B.

Machine learning-assisted construction of COPD self-evaluation questionnaire (COPD-EQ): a national multicentre study in China.

Background: Approximately 70% of chronic obstructive pulmonary disease (COPD) is underdiagnosed worldwide. We aimed to develop and validate a COPD self-evaluation questionnaire (COPD-EQ) that is better suited for COPD screening in China.

Methods: We developed a primary version of COPD-EQ based on the Delphi method.

Iron metabolism and the tumor microenvironment: A new perspective on cancer intervention and therapy (Review).

Iron metabolism plays a crucial role in the tumor microenvironment, influencing various aspects of cancer cell biology and tumor progression. This review discusses the regulatory mechanisms of iron metabolism within the tumor microenvironment and highlights how tumor cells and associated stromal cells manage iron uptake, accumulation and regulation. The sources of iron within tumors and the biological importance of ferroptosis in cancer were explored, focusing on its mechanisms, biological effects and, in particular, its tumor‑suppressive properties.

Hypoxia studies in non‑small cell lung cancer: Pathogenesis and clinical implications (Review).

Non‑small cell lung cancer (NSCLC) is one of the most prevalent and lethal types of cancers worldwide and its high incidence and mortality rates pose a significant public health challenge. Despite significant advances in targeted therapy and immunotherapy, the overall prognosis of patients with NSCLC remains poor. Hypoxia is a critical driving factor in tumor progression, influencing the biological behavior of tumor cells through complex molecular mechanisms.

Aquaporin‑1 regulates microglial polarization and inflammatory response in traumatic brain injury.

The present study investigated the mechanisms by which aquaporin 1 (AQP1) influences microglial polarization and neuroinflammatory processes in traumatic brain injury (TBI). A model of TBI was generated in AQP1‑knockout mice to assess the impact of AQP1 deletion on inflammatory cytokine release, neuronal damage and cognitive function. Immunofluorescence, reverse transcription‑quantitative PCR, western blotting and enzyme‑linked immunosorbent assay were employed to evaluate pro‑inflammatory and anti‑inflammatory markers.

Endovascular therapy versus best medical care for acute ischemic stroke with distal medium vessel occlusion: a systematic review and meta-analysis.

Background: With the refinement of catheter technology, distal medium vessel occlusions (DMVOs) are now viewed as amenable to endovascular treatment (EVT) but its efficacy and safety remains unclear in AIS patients with DMVO.

Methods: We conducted a systematic search of PubMed, Embase databases and Cochrane Library up to December 2023 using keywords to identify studies comparing EVT versus BMT in AIS with DMVOs. The assessed clinical outcomes were excellent functional outcome, good functional outcome, 90-day mortality, symptomatic intracranial hemorrhage (sICH), and early neurological improvement (ENI) after treatment.

Broad Evidence Triangulation Should Be Established for a Valid and Robust Causal Relation Between Air Pollution and Health Outcome.

This letter aims to provide valuable insights into broader evidence triangulation (i.e., a well-designed primary association analysis followed by elaborate approaches to control residual confounding effects from various design and modeling perspectives) for clarifying the association between air pollutants and health outcomes.

Identification and validation of the diagnostic biomarker MFAP5 for CAVD with type 2 diabetes by bioinformatics analysis.

Introduction: Calcific aortic valve disease (CAVD) is increasingly prevalent among the aging population, and there is a notable lack of drug therapies. Consequently, identifying novel drug targets will be of utmost importance. Given that type 2 diabetes is an important risk factor for CAVD, we identified key genes associated with diabetes - related CAVD via various bioinformatics methods, which provide further potential molecular targets for CAVD with diabetes.

Machine-learning derived identification of prognostic signature to forecast head and neck squamous cell carcinoma prognosis and drug response.

Introduction: Head and neck squamous cell carcinoma (HNSCC), a highly heterogeneous malignancy is often associated with unfavorable prognosis. Due to its unique anatomical position and the absence of effective early inspection methods, surgical intervention alone is frequently inadequate for achieving complete remission. Therefore, the identification of reliable biomarker is crucial to enhance the accuracy of screening and treatment strategies for HNSCC.