Family History of Hypertension Predicts Thyroid Cancer Risk in Women: A Population-Based Cross-Sectional Study With Integrative Machine Learning and Genomic Analyses.

Introduction: Thyroid cancer is one of the most common endocrine malignancies globally, with a markedly higher incidence in women. Although pregnancy-induced hypertension is recognized as a risk factor, the underlying mechanisms linking hypertension and thyroid cancer remain poorly understood. This study explores the gender-specific associations between family history of hypertension and thyroid cancer, integrating clinical characteristics with genetic insights.

Hyaluronic acid methacryloyl-based co-delivery system for aflibercept and miR-21-3p antagomir: a dual-therapeutic approach for diabetic retinopathy.

Diabetic retinopathy (DR) is a leading cause of vision loss characterized by concurrent retinal vascular dysfunction and neurodegeneration. While current therapies primarily target vascular dysfunction, they offer limited neuroprotective benefits. In this study, we developed a novel light-responsive hydrogel composed of hyaluronic acid methacryloyl (HAMA) for the co-delivery of aflibercept and miR-21-3p antagomir (HAMA@(Ab+M21A)).

Machine learning-based prediction of disease-free survival in breast cancer patients with non-pathological complete response after neoadjuvant chemotherapy: a retrospective multicenter cohort study.

This study aimed to construct a robust machine learning (ML) model for predicting the disease-free survival (DFS) and risk stratification of breast cancer (BC) patients with non-pathological complete response (non-PCR) after neoadjuvant chemotherapy (NAC). The model will facilitate the initiation of early interventions for high-risk patients. This retrospective multicenter cohort study included BC patients from two hospitals in China who received NAC but did not achieve PCR.

Manipulation of the central autophagy component ZmATG8c affects thermotolerance in maize.

Rising global temperatures present a substantial threat to crop production. Autophagy is an important catabolic process that promotes plant survival under stress, and AuTophaGy-related 8 (ATG8) proteins play key roles in plant autophagy, although the contributions of specific ATG8 isoforms to heat tolerance remain to be clarified. Here, we demonstrate that heat-induced expression of ZmATG8c promotes maize (Zea mays L.

Nanoengineering construction of FeO/g-CN heterojunctions for cooperative enhanced photocatalytic CO reduction and pollutant degradation.

Developing heterojunction photocatalysts represents a promising strategy to improve photocatalytic efficiency in wastewater treatment and address the greenhouse effect. This investigation involved the creation of a new FeO/g-CN heterojunction photocatalyst (FC-X) through a simple hydrothermal process to overcome these obstacles. The optimized FC-8 composite exhibited a high photocatalytic activity, achieving a 95.

PKD1-mediated phosphorylation at dopamine D2 receptor serine 365 site in dorsal striatum underlies cocaine-induced locomotor hyperactivity.

Locomotor hyperactivity is an early behavioural adaptation in cocaine use disorder, driven by increased dopamine levels in the striatum. The expression, sensitivity, and availability of dopamine D2 receptor (D2R) are significantly associated with cocaine use disorder. However, neither D2R agonists nor antagonists are optimal for clinical intervention because of their side effects.

Reprogramming lymphatic endothelial glucose metabolism for the treatment of lymphangiogenesis-related disease.

Lymphangiogenesis plays important roles in the pathogenesis of several human diseases, including keratitis, transplant rejection, and cancers. Dysregulated glucose metabolism has emerged as a critical driver of pathological lymphangiogenesis. This study aimed to identify novel regulators of this process and elucidate their roles in the metabolic regulation of lymphatic endothelial cells (LECs).

Novel High-Resolution Lipidomes Could Serve as New Biomarkers for Diabetic Retinopathy: A Bidirectional and Mediated Mendelian Randomization Study.

Although lipid metabolism is a critical factor in the pathogenesis of diabetic retinopathy (DR), the connection between lipidome and DR is still a subject of debate. We aimed to demonstrate that lipidome could serve as novel biomarkers for DR and elucidate the mediating role of inflammatory factors. Data for our investigation are available from the GWAS catalogue and FinnGen Biobank.

Type 2 Diabetes Mellitus: A Metabolic Model of Accelerated Aging - Multi-Organ Mechanisms and Intervention Approaches.

Type 2 diabetes mellitus (T2DM) is a metabolic disease characterized by chronic high blood sugar levels and insulin resistance (IR). Modern medicine has shown that diabetes plays a role in speeding up the aging process of the body independently of age, making it an age-related aging disease. The oxidative stress caused by chronic high blood sugar and IR can lead to dysfunctional mitochondria, which in turn promotes changes in epigenetic regulation, shortening of telomeres, and cellular senescence.

Real-world analysis of the efficacy and safety of lorlatinib in ALK-positive non-small cell lung cancer patients in China.

Introduction: Lorlatinib, a third-generation ALK inhibitor, has demonstrated strong efficacy in treating advanced ALK-positive NSCLC, though real-world data, particularly from China, are limited. This study evaluates the real-world efficacy and safety of lorlatinib in Chinese patients with advanced ALK-positive NSCLC.

Materials And Methods: This retrospective study analyzed 65 patients with advanced ALK-positive NSCLC who received lorlatinib at Peking University Cancer Hospital between September 2017 and August 2024.

Immune checkpoint inhibitor-related myocarditis in patients with lung cancer.

Background: The clinical characteristics of immune checkpoint inhibitors (ICIs)-related myocarditis in lung cancer remains uncertain. The purpose of this study was to evaluate the incidence, clinical characteristics, risk factors, and prognosis of myocarditis in lung cancer patients treated with ICIs. Therefore, this study would enhance the understanding of immune related myocarditis in lung cancer population.

Treatment of Pathological Lymphangiogenesis via Circular RNA-Mediated Cholesterol Metabolism Remodeling.

Purpose: Lymphangiogenesis plays important roles in the pathogenesis of human diseases, including inflammatory ocular diseases, metabolic diseases, and cancers, by affecting lipid metabolism and immune homeostasis. Despite growing evidence showing that circular RNAs (circRNAs) act as the regulators of inflammatory and metabolic pathways, their roles in lymphatic dysfunction remain unclear. This study aims to explore the involvement of circRNA-KIF6 (cKIF6) in pathological lymphangiogenesis and elucidate the underlying mechanism.

Targeting glycolytic reprogramming by tsRNA-0032 for treating pathological lymphangiogenesis.

Lymphangiogenesis is vital for tissue fluid homeostasis, immune function, and lipid absorption. Abnormal lymphangiogenesis has been implicated in several diseases such as cancers, inflammatory, and autoimmune diseases. In this study, we elucidate the role of tsRNA-0032 in lymphangiogenesis and its molecular mechanism.

Integration of multi-omics transcriptome-wide analysis for the identification of novel therapeutic drug targets in diabetic retinopathy.

Background: Diabetic retinopathy (DR) is the most important complication of Type 2 Diabetes (T2D) in eyes. Despite its prevalence, the early detection and management of DR continue to pose considerable challenges. Our research aims to elucidate potent drug targets that could facilitate the identification of DR and propel advancements in its therapeutic strategies.

Baseline absolute lymphocyte count as a prognostic indicator in advanced or metastatic breast cancer: a systematic review and meta-analysis.

This study used meta-analysis to examine the role of baseline absolute lymphocyte count (ALC) in the prognosis of advanced breast cancer (ABC) or metastatic breast cancer (MBC). A comprehensive search encompassing PubMed, The Cochrane Library, Embase, and Web of Science databases was undertaken to identify and screen literature based on predefined inclusion and exclusion criteria. Progression-free survival (PFS), time to treatment failure (TTF), post-progression survival (PPS), and overall survival (OS) were selected as outcome measures.

Artificial intelligence in individualized retinal disease management.

Owing to the rapid development of modern computer technologies, artificial intelligence (AI) has emerged as an essential instrument for intelligent analysis across a range of fields. AI has been proven to be highly effective in ophthalmology, where it is frequently used for identifying, diagnosing, and typing retinal diseases. An increasing number of researchers have begun to comprehensively map patients' retinal diseases using AI, which has made individualized clinical prediction and treatment possible.

Development and Validation of an Interpretable Machine Learning Prediction Model for Total Pathological Complete Response after Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer: Multicenter Retrospective Analysis.

This study aims to develop an interpretable machine learning (ML) model to accurately predict the probability of achieving total pathological complete response (tpCR) in patients with locally advanced breast cancer (LABC) following neoadjuvant chemotherapy (NAC). This multi-center retrospective study included pre-NAC clinical pathology data from 698 LABC patients. Post-operative pathological outcomes divided patients into tpCR and non-tpCR groups.

A nomogram model for predicting the risk of axillary lymph node metastasis in patients with early breast cancer and cN0 status.

Axillary staging is commonly performed via sentinel lymph node biopsy for patients with early breast cancer (EBC) presenting with clinically negative axillary lymph nodes (cN0). The present study aimed to investigate the association between axillary lymph node metastasis (ALNM), clinicopathological characteristics of tumors and results from axillary ultrasound (US) scanning. Moreover, a nomogram model was developed to predict the risk for ALNM based on relevant factors.

QTL mapping for plant height and ear height using bi-parental immortalized heterozygous populations in maize.

Introduction: Plant height (PH) and ear height (EH) are key plant architectural traits in maize, which will affect the photosynthetic efficiency, high plant density tolerance, suitability for mechanical harvesting.

Methods: QTL mapping were conducted for PH and EH using a recombinant inbred line (RIL) population and two corresponding immortalized backcross (IB) populations obtained from crosses between the RIL population and the two parental lines.

Results: A total of 17 and 15 QTL were detected in the RIL and IB populations, respectively.

Real-world data on the first-line immune checkpoint inhibitors or in combination with chemotherapy in older patients (aged ≥ 75 years) with advanced non-small cell lung cancer.

Purpose: The purpose of this study is to investigate the efficacy and safety of immune checkpoint inhibitors (ICIs) or plus with chemotherapy in older patients.

Methods: We enrolled 110 older patients with non-small cell lung cancer (NSCLC ≥75 years) who received either chemotherapy alone (chemo), ICI plus chemotherapy (ICI + chemo), or ICI alone and ICI plus other therapies, which included anti-angiogenesis drugs or other novel ICI (ICIs). Patient characteristics, treatment response, survival, and toxicity were evaluated.

Predictive value of stromal tumor-infiltrating lymphocytes in patients with breast cancer treated with neoadjuvant chemotherapy: A meta-analysis.

Background: The predictive value of tumor-infiltrating lymphocytes (TILs) in response to neoadjuvant chemotherapy (NAC) for breast cancer (BC) has received increasing attention. Here, a meta-analysis was conducted to evaluate the correlation between the expression of stromal TILs and pathological complete response (pCR) after NAC in BC patients.

Methods: The PubMed, Embase, Cochrane Library, and Web of Science databases were searched online by using a combination of keywords and free words to screen literature on the expression of stromal TILs and pCR after NAC in patients with BC.

Causal Effects of COVID-19 on the Risk of Thrombosis: A Two-Sample Mendel Randomization Study.

Background:  Coronavirus disease 2019 (COVID-19) and thrombosis are linked, but the biomolecular mechanism is unclear. We aimed to investigate the causal relationship between COVID-19 and thrombotic biomarkers.

Methods:  We used two-sample Mendelian randomization (MR) to assess the effect of COVID-19 on 20 thrombotic biomarkers.