The Combination of Retinal Neurovascular Unit Changes With Carotid Artery Stenosis Enhances the Prediction of Ischemic Stroke.

Purpose: We aimed to analyze retinal neurovascular unit (RNVU) alterations and function via optical coherence tomography angiography (OCTA) and full-field electroretinography (ERG) in patients with ischemic stroke (IS).

Methods: OCTA was used to measure RNVU changes in 229 participants (101 with IS and 128 healthy controls). The RETeval device was used to record full-field electroretinograms (FERGs) in 40 participants (14 with IS and 26 healthy controls).

Effects of dexmedetomidine combined with intravenous general anesthesia on hemodynamics and inflammatory factors in patients undergoing laparoscopic colorectal cancer surgery.

Introduction: Surgery is the principal treatment option for early colorectal cancer (CRC). Anesthesia plays a crucial role in any surgery as it allows for a painless procedure. Dexmedetomidine is a local anesthetic that reduces pain and discomfort during surgery.

Zinc promotes nitrogen uptake and plant growth by regulating the antioxidant system and carbon-nitrogen metabolism under drought condition in apple plants.

Zn plays an important role in plant defense against abiotic stress, but the underlying mechanism of Zn alleviates drought stress in apple plants remains unclear. Here, we investigated the effects of Zn on plant growth, antioxidant system, C-N metabolism, and N uptake under drought stress through a hydroponic experiment. Drought stress induced the production of HO, hindered photosynthesis, disturbed C-N metabolism, and ultimately reduced total dry weight and N accumulation.

The impact of KRAS mutations on the tumour microenvironment and treatment response in non-small cell lung cancer.

Mutations in the KRAS gene in non-small cell lung cancer (NSCLC) are common drivers. Gene expression and mutation data of NSCLC were collected from the TCGA dataset. DEGs between KRAS mutations and wild type were identified, and enrichment analysis was performed.

Discovery and Validation of Potential Serum Biomarkers for Heart Failure by Untargeted Metabolomics.

Detection of biomarkers was extremely important for the early diagnosis, prognosis, and therapy optimization of diseases. The purpose of this study was to investigate the differences in serum metabolites between patients with heart failure (HF) and healthy control (HC) and to diagnose HF qualitatively. In this study, serum samples from 83 patients with HF and 35 HCs were used as the research subjects for untargeted metabolomic analysis using ultraperformance liquid chromatography combined with quadrupole-time of flight mass spectrometry (UPLC-QTOF/MS) technology.

Discover Mutational Differences Between Lung Adenocarcinoma and Lung Squamous Cell Carcinoma and Search for More Effective Biomarkers for Immunotherapy.

Purpose: Lung cancer is a severe malignant tumor. This study aims to more comprehensively characterize lung cancer patients and identify combination markers for immunotherapy.

Patients And Methods: We gathered data from 166 lung cancer patients at the Cancer Hospital Affiliated with Xinjiang Medical University.

Domain generalization for mammographic image analysis with contrastive learning.

The deep learning technique has been shown to be effectively addressed several image analysis tasks in the computer-aided diagnosis scheme for mammography. The training of an efficacious deep learning model requires large data with diverse styles and qualities. The diversity of data often comes from the use of various scanners of vendors.

Pseudoangiomatous stromal hyperplasia causing bilateral galactomastia with short-term recurrence after surgery: a case report.

Pseudoangiomatous stromal hyperplasia (PASH) is a rare, benign breast lesion characterized by collagen proliferation, often identified as an incidental microscopic finding. Clinically, it may present as a palpable, well-defined breast mass or, in rare instances, as a diffuse, bilateral process leading to significant breast enlargement. We herein report a case of extensive diffuse PASH with short-term recurrence following lesion resection at another hospital.

Synergistic effects of anlotinib and DDP on breast cancer: targeting the VEGF/JAK2/STAT3 axis.

Background: Anlotinib, a highly selective inhibitor of VEGFR2, has demonstrated significant anti-tumor effects in various cancers. However, its potential synergistic effects with DDP (cisplatin) in breast cancer (BRCA) remain to be fully elucidated. This study aims to discover the therapeutic efficacy of anlotinib on BRCA, specifically the synergistic effects with DDP, and to elucidate the underlying molecular mechanisms.

Integrated proteomics and transcriptomics analysis reveals insights into differences in premature mortality associated with disparate pathogenic RBM20 variants.

Variants in RNA binding motif protein 20 (RBM20) are causative in a severe form of dilated cardiomyopathy referred to as RBM20 cardiomyopathy, yet the mechanisms are unclear. Moreover, the reason(s) for phenotypic heterogeneity in carriers with different pathogenic variants are similarly opaque. To gain insight, we carried out multi-omics analysis, including the first analysis of gene expression changes at the protein level, of mice carrying two different pathogenic variants in the RBM20 nuclear localization signal (NLS).

Machine Learning Enables Comprehensive Prediction of the Relative Protein Abundance of Multiple Proteins on the Protein Corona.

Understanding protein corona composition is essential for evaluating their potential applications in biomedicine. Relative protein abundance (RPA), accounting for the total proteins in the corona, is an important parameter for describing the protein corona. For the first time, we comprehensively predicted the RPA of multiple proteins on the protein corona.

Clinical characteristics of KRAS mutation subtypes in non-small cell lung cancer population in Xinjiang, China, and their impact on the prognosis of immunotherapy.

Purpose: Non-small cell lung cancer (NSCLC) is a highly fatal malignancy. The Kirsten rat sarcoma viral oncogene (KRAS) gene profoundly impacts patient prognosis. This study aims to explore the correlation between KRAS mutation subtypes, clinical data, and the impact of these subtypes on immunotherapy.

Assessing Axillary Lymph Node Burden and Prognosis in cT1-T2 Stage Breast Cancer Using Machine Learning Methods: A Retrospective Dual-Institutional MRI Study.

Background: Pathological axillary lymph node (pALN) burden is an important factor for treatment decision-making in clinical T1-T2 (cT1-T2) stage breast cancer. Preoperative assessment of the pALN burden and prognosis aids in the individualized selection of therapeutic approaches.

Purpose: To develop and validate a machine learning (ML) model based on clinicopathological and MRI characteristics for assessing pALN burden and survival in patients with cT1-T2 stage breast cancer.

Hyb_SEnc: An Antituberculosis Peptide Predictor Based on a Hybrid Feature Vector and Stacked Ensemble Learning.

Tuberculosis has plagued mankind since ancient times, and the struggle between humans and tuberculosis continues. Mycobacterium tuberculosis is the leading cause of tuberculosis, infecting nearly one-third of the world's population. The rise of peptide drugs has created a new direction in the treatment of tuberculosis.

Development and validation of machine learning models for predicting HER2-zero and HER2-low breast cancers.

Objectives: To develop and validate machine learning models for human epidermal growth factor receptor 2 (HER2)-zero and HER2-low using MRI features pre-neoadjuvant therapy (NAT).

Methods: Five hundred and sixteen breast cancer patients post-NAT surgery were randomly divided into training (n = 362) and internal validation sets (n = 154) for model building and evaluation. MRI features (tumour diameter, enhancement type, background parenchymal enhancement, enhancement pattern, percentage of enhancement, signal enhancement ratio, breast oedema, and apparent diffusion coefficient) were reviewed.