Sanggenol L Alleviates Rotenone-induced Parkinson's Disease and Inhibits Mitochondrial Complex I by Apoptosis Via P13K/AKT/mTOR Signalling.

Background: Parkinson's disease (PD) is the age-associated, second most advanced neurodegenerative illness. Rotenone is an extensively used pesticide to study PD pathology and inhibits mitochondrial complex I. Reports indicate that rotenone exerts neurotoxicity by its capability to produce reactive oxygen species (ROS), which eventually leads to neuronal apoptosis.

Environmentally friendly synthesis of gelatin hydrogel nanoparticles for gastric cancer treatment, bisphenol A sensing and nursing applications: Fabrication, characterization and ANN modeling.

This study presents a dual application approach for the environmentally friendly synthesis of gelatin hydrogel nanoparticles with potential applications in gastric cancer treatment, bisphenol A (BPA) sensing, and nursing. Gelatin hydrogel nanoparticles were synthesized using a green and freeze-drying method, avoiding the use of toxic chemicals and solvents. The nanoparticles showed excellent biocompatibility and promising potential for drug delivery system (DDS) in gastric cancer treatment.

Changes in immune status of circulating NK cells in patients with latent tuberculosis infection.

Introduction: The presence of patients with latent tuberculosis infection (LTBI) has fueled the tuberculosis pandemic. We aimed to investigate the immune status of NK cells in LTBI patients.

Material And Methods: Twenty-one LTBI patients, 25 active pulmonary tuberculosis (APTB) patients and 25 healthy controls (HCs) participated in our research.

Robot-Assisted Ocular Tumour Radiotherapy Positioning and Tracking System.

Background: Precise dose position distribution is crucial for ocular proton therapy.

Methods: A non-invasive eye positioning and tracking system with novel structure is designed to reduce eye movement and facilitate precise dose by guiding the direction of patients' gaze. The system helps to achieve gaze guidance by controlling the light source fixed on two turntables above the patient's face.

Enhancing prostate cancer segmentation on multiparametric magnetic resonance imaging with background information and gland masks.

Background: The landscape of prostate cancer (PCa) segmentation within multiparametric magnetic resonance imaging (MP-MRI) was fragmented, with a noticeable lack of consensus on incorporating background details, culminating in inconsistent segmentation outputs. Given the complex and heterogeneous nature of PCa, conventional imaging segmentation algorithms frequently fell short, prompting the need for specialized research and refinement.

Purpose: This study sought to dissect and compare various segmentation methods, emphasizing the role of background information and gland masks in achieving superior PCa segmentation.

Automated Cerebrovascular Segmentation and Visualization of Intracranial Time-of-Flight Magnetic Resonance Angiography Based on Deep Learning.

Time-of-flight magnetic resonance angiography (TOF-MRA) is a non-contrast technique used to visualize neurovascular. However, manual reconstruction of the volume render (VR) by radiologists is time-consuming and labor-intensive. Deep learning-based (DL-based) vessel segmentation technology may provide intelligent automation workflow.

Robot-assisted system for non-invasive wide-range flexible eye positioning and tracking in particle radiotherapy.

Particle (proton, carbon ion, or others) radiotherapy for ocular tumors is highly dependent on precise dose distribution, and any misalignment can result in severe complications. The proposed eye positioning and tracking system (EPTS) was designed to non-invasively position eyeballs and is reproducible enough to ensure accurate dose distribution by guiding gaze direction and tracking eye motion. Eye positioning was performed by guiding the gaze direction with separately controlled light sources.

Prognostic value and drug sensitivity of F‑box and leucine‑rich repeat protein 6 in glioma.

Gliomas are highly malignant and invasive tumors lacking clear boundaries. Previous bioinformatics and experimental analyses have indicated that F-box and leucine-rich repeat protein 6 (FBXL6), a protein crucial for the cell cycle and tumorigenesis, is highly expressed in certain types of tumors. The high expression level of FBXL6 is reported to promote tumor growth and adversely affect patient survival.

Automatic assessment of DWI-ASPECTS for acute ischemic stroke based on deep learning.

Background: Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is a standardized semi-quantitative method for early ischemic changes in acute ischemic stroke.

Purpose: However, ASPECTS is still affected by expert experience and inconsistent results between readers in clinical. This study aims to propose an automatic ASPECTS scoring model based on diffusion-weighted imaging (DWI) mode to help clinicians make accurate treatment plans.

Serum iron element: A novel biomarker for predicting PD-1 immunotherapy efficacy.

This study aims to explore the relationship between serum iron by inductively coupled plasma-mass spectrometry (ICP-MS) and the efficacy of immune checkpoint inhibitors (ICIs) and potential mechanism. Totally 113 patients from 233 patients with advanced metastatic lung cancer, esophageal cancer, gastric cancer and colorectal cancer who treated with immunotherapy in Shandong Provincial Hospital were divided into training group (n=68) and validation group (n=45), whose patients were divided into clinical benefit response (CBR) and non-clinical benefit (NCB) by RECIST (v1.1) respectively.

Feature Fusion for Multi-Coil Compressed MR Image Reconstruction.

Magnetic resonance imaging (MRI) occupies a pivotal position within contemporary diagnostic imaging modalities, offering non-invasive and radiation-free scanning. Despite its significance, MRI's principal limitation is the protracted data acquisition time, which hampers broader practical application. Promising deep learning (DL) methods for undersampled magnetic resonance (MR) image reconstruction outperform the traditional approaches in terms of speed and image quality.

CircTMEM87A promotes the tumorigenesis of gastric cancer by regulating the miR-1276/SLC7A11 axis.

Background: Gastric cancer (GC) is a common malignancy with high incidence and mortality, and its pathogenesis involves the regulation of circular RNAs (circRNAs). However, the molecular mechanism of circTMEM87A in GC malignant progression is uncertain.

Methods: Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to detect the expressions of circTMEM87A, miR-1276, and solute carrier family 7 membrane 11 (SLC7A11).

A deep learning and radiomics based Alberta stroke program early CT score method on CTA to evaluate acute ischemic stroke.

Background: Alberta stroke program early CT score (ASPECTS) is a semi-quantitative evaluation method used to evaluate early ischemic changes in patients with acute ischemic stroke, which can guide physicians in treatment decisions and prognostic judgments.

Objective: We propose a method combining deep learning and radiomics to alleviate the problem of large inter-observer variance in ASPECTS faced by physicians and assist them to improve the accuracy and comprehensiveness of the ASPECTS.

Methods: Our study used a brain region segmentation method based on an improved encoding-decoding network.

Joint two-stage convolutional neural networks for intracranial aneurysms detection on 3D TOF-MRA.

. This study aims to develop a three-dimensional convolutional neural network utilizing computer-aided diagnostic technology to facilitate the detection of intracranial aneurysms and automatically assess their location and extent, thereby enhancing the efficiency of radiologists, and streamlining clinical workflows..

Accelerating image reconstruction for multi-contrast MRI based on Y-Net3.

Background: As one of the significant preoperative imaging modalities in medical diagnosis, Magnetic resonance imaging (MRI) takes a long scanning time due to its special imaging principle.

Objective: We propose an innovative MRI reconstruction strategy and data consistency method based on deep learning to reconstruct high-quality brain MRIs from down-sampled data and accelerate the MR imaging process.

Methods: Sixteen healthy subjects undergoing T1-weighted spin-echo (SE) and T2-weighted fast spin-echo (FSE) sequences by a 1.

Significance of cuproptosis- related genes in the diagnosis and classification of psoriasis.

Cuproptosis is a novel form of cell death linked to mitochondrial metabolism and is mediated by protein lipoylation. The mechanism of cuproptosis in many diseases, such as psoriasis, remains unclear. In this study, signature diagnostic markers of cuproptosis were screened by differential analysis between psoriatic and non-psoriatic patients.

Corticosteroid treatment in severe patients with SARS-CoV-2 and chronic HBV co-infection: a retrospective multicenter study.

Background: The impact of corticosteroids on patients with severe coronavirus disease 2019 (COVID-19)/chronic hepatitis B virus (HBV) co-infection is currently unknown. We aimed to investigate the association of corticosteroids on these patients.

Methods: This retrospective multicenter study screened 5447 confirmed COVID-19 patients hospitalized between Jan 1, 2020 to Apr 18, 2020 in seven centers in China, where the prevalence of chronic HBV infection is moderate to high.

Changes in Levels of Homocysteine and C-Reactive Protein in Patients with Alzheimer's Disease and Their Correlation with Cognitive and UPDRS Functions.

Objective: To investigate the changes in the levels of homocysteine (Hcy) and C-reactive protein (CRP) in patients with Alzheimer's disease (AD) and analyze their correlation with cognitive and UPDRS functions.

Methods: A total of 50 patients with AD admitted to our hospital from January 2020 to March 2022 were selected into the research group, and 50 healthy subjects were selected as the control group. The levels of Hcy and CRP of the two groups were analyzed, and the patients' cognitive functions were evaluated with the Mini-Mental State Examination (MMSE) score and UPDRS function scoring.

Diagnostic Value of Peripheral Blood Lymphocytes for Primary Immune Thrombocytopenia.

The purpose of this study was to investigate the absolute value of peripheral blood lymphocytes in patients with primary immune thrombocytopenia and the diagnostic effect on patients with primary immune thrombocytopenia. From January 2020 to June 2021, 76 patients with primary immune thrombocytopenia and 80 healthy check-ups admitted to our hospital were selected as study subjects and divided into a control group (80 patients, healthy check-ups) and an observation group (76 patients, primary immune thrombocytopenia), according to the health status of the organism. Early morning fasting venous blood was collected from both groups, and the absolute value of peripheral blood lymphocytes was measured and compared using a fully automated hematology analyzer to investigate the diagnostic value of absolute peripheral blood lymphocytes in primary immune thrombocytopenia.

Effect of obesity on venous hemodynamics of the lower limbs during laparoscopic cholecystectomy.

Objective: The present study aims to compare the changes of venous flow parameters of the lower limbs under the assessment based on the duplex ultrasound scanning in obese and non-obese individuals by complying with body mass index during laparoscopic cholecystectomy.

Methods: A prospective cohort study was conducted in non-obese (body mass index <25 kg/m) and obese individuals (body mass index >30 kg/m) during laparoscopic cholecystectomy to analyze venous hemodynamics of the lower limbs. The assessment was conducted on Femoral vein diameter, Femoral vein cross-sectional area, Femoral vein peak velocity, and Femoral vein volume flow.

Inhibition of microRNA-665 Alleviates Septic Acute Kidney Injury by Targeting Bcl-2.

Sepsis can easily cause acute kidney injury (AKI) and seriously endanger human health. This article aims to investigate and study the role of microRNA-665 (miR-665) in septic AKI and the underlying molecular mechanism. Lipopolysaccharide (LPS) was used to construct cell and animal models of septic AKI.

Effect of continuity of care on quality of life and medication compliance of patients with ST-segment elevation myocardial infarction.

Objective: To investigate the effects of continuity of care (COC) on the quality of life and medication compliance of patients with ST-segment elevation myocardial infarction (STEMI).

Methods: A retrospective analysis was conducted in 98 patients with STEMI that were treated in our hospital from January 2017 to December 2018. The 98 cases were assigned to a control group given routine nursing and an experimental group given routine nursing combined with COC according to different nursing approaches.