PKN2 enhances the immunosuppressive activity of polymorphonuclear myeloid-derived suppressor cells in esophageal carcinoma by mediating fatty acid oxidation.

Background: Myeloid-derived suppressor cells (MDSCs) in tumor microenvironment reduce the efficacy of immunotherapy. PKN2 plays a role in colon cancer, but its function in esophageal cancer (EC) remains unclear. This study investigated PKN2 expression in MDSCs derived from EC tissues and determined whether PKN2 regulates immunosuppressive activity of MDSCs by mediating fatty acid oxidation (FAO).

Distribution and Epidemiological Characteristics of Clinical Isolates of in a Hospital from 2021 to 2023: A Retrospective Study.

Objective: The distribution characteristics of clinical isolates of were analyzed to provide the basis for the prevention and control of infection.

Methods: From January 2021 to December 2023, the First Affiliated Hospital of Nanjing Medical University collected clinical isolates of from hospitalized patients for study. Duplicate strains from the same patient in the same area were eliminated, and community-, hospital-, and colonization infections were grouped.

Wrist EMG-based Gestures Recognition for Finger and Wrist Motions.

Gesture recognition is a relatively natural humanmachine interface (HMI). Electromyography (EMG) based gesture recognition methods have been extensively investigated in upper limb prostheses as a special HMI, in which EMG sensors are mostly mounted on the proximal part of the forearm. However, for more general applications beyond upper-limb prosthetics, the wrist may be a more suitable position for more intuitive HMIs, in which independent finger movements in addition to wrist gestures can be realized.

Prediction of plaque progression using different machine learning models of pericoronary adipose tissue radiomics based on coronary computed tomography angiography.

Objectives: To develop and validate the value of different machine learning models of pericoronary adipose tissue (PCAT) radiomics based on coronary computed tomography angiography (CCTA) for predicting coronary plaque progression (PP).

Methods: This retrospective study evaluated 97 consecutive patients (with 127 plaques: 40 progressive and 87 nonprogressive) who underwent serial CCTA examinations. We analyzed conventional parameters and PCAT radiomics features.

Discovery of structurally intriguing diterpenoids as anti-neuroinflammatory agents from mangrove plant Excoecaria agallocha L. via inhibiting macrophage polarization and inflammasome.

Emerging evidence indicates the inhibition of neuroinflammation is an important and promising strategy for managing Alzheimer's disease. Anti-neuroinflammatory agents are potential drug leads. In this work, seventeen diterpenoids (1-17) including ten previously undescribed ones, named excoaglolides A-J (1-10) were isolated from the stems and twigs of the mangrove plant, Excoecaria agallocha L.

A NIR fluorescent probe based on carbamoyl oxime with high specificity for detecting ferrous ions in food and in vivo.

Ferrous ions (Fe), the primary form of iron in cells, play a crucial role in various biological processes. The presence and absorption of Fe in food has an important impact on human health. Proper dietary intake and iron supplementation are conducive to prevent and treat iron-related diseases.

Development of an AI model for predicting hypoxia status and prognosis in non-small cell lung cancer using multi-modal data.

Background: Prognosis prediction is crucial for non-small cell lung cancer (NSCLC) treatment planning. While tumor hypoxia significantly impacts patient outcomes, identifying hypoxic genomic markers remains challenging. This study sought to identify hypoxic computed tomography (CT) radiomic features and create an artificial intelligence (AI) model for NSCLC through the integration of multi-modal data.

The chain mediating role of social support and coping strategy: Type D personality and psychological distress among Chinese COPD patients.

This study examines how coping strategies and social support mediate the relationship between type D personality and psychological distress in COPD patients. A sample of 351 patients completed surveys on demographics, psychological distress (Kessler Psychological Distress Scale), social support (Social Support Self-Rating Scale), coping strategies (Chinese version of Medical Coping Modes Questionnaire), and type D personality (Type D Personality Scale). Using structural equation modeling (SEM) via AMOS 23.

[Therapeutic effect of joint injection of platelet-rich plasma combined with shock wave on osteochondral injury of talus].

Objective: To explore clinical efficacy of platelet rich plasma (PRP) injection combined with extracorporeal shock wave therapy (ESWT) in treating osteochondral lesion of talus (OLT) with typeⅡa.

Methods: From January 2022 to June 2022, 45 patients with typeⅡa OLT were treated with PRP arthroscopic injection combined with ESWT, including 29 males and 16 females; aged from 18 to 63 years old with an average of(37.7±10.

Using a two sample Mendelian randomization approach to explore the causal relationship between erectile dysfunction and lung function.

Background: Recently, some observational studies have suggested potential associations between erectile dysfunction (ED) and respiratory function. However, the underlying biological mechanisms and causal relationships between ED and lung function require further investigation. This study aimed to explore the causalities between ED and lung function traits.

DeepGR: a deep-learning prognostic model based on glycolytic radiomics for non-small cell lung cancer.

Background: Glycolysis proved to have a prognostic value in lung cancer; however, to identify glycolysis-related genomic markers is expensive and challenging. This study aimed at identifying glycolysis-related computed tomography (CT) radiomics features to develop a deep-learning prognostic model for non-small cell lung cancer (NSCLC).

Methods: The study included 274 NSCLC patients from cohorts of The Second Affiliated Hospital of Soochow University (SZ; n=64), the Cancer Genome Atlas (TCGA)-NSCLC dataset (n=74), and the Gene Expression Omnibus dataset (n=136).

Perioperative use of enteral nutrition with ω-3 polyunsaturated fatty acid in patients with gastric cancer: a meta-analysis.

Objectives: To systematically evaluate the efficacy and safety of enteral nutrition with ω-3 polyunsaturated fatty acid preparations or standard enteral nutrition preparations used in patients with gastric cancer during perioperative period, and to provide reference for clinical rational drug use.

Methods: Pubmed, EMbase, The Cochrane Library, CNKI and Wanfang Medical databases were searched by computer to collect relevant literature. The search period was from the establishment of the database to August 1, 2024.

Chem(Pro)2: the atlas of chemoproteomic probes labelling human proteins.

Chemoproteomic probes (CPPs) have been widely considered as powerful molecular biological tools that enable the highly efficient discovery of both binding proteins and modes of action for the studied compounds. They have been successfully used to validate targets and identify binders. The design of CPP has been considered extremely challenging, which asks for the generalization using a large number of probe data.

MolBiC: the cell-based landscape illustrating molecular bioactivities.

The measurement of cell-based molecular bioactivity (CMB) is critical for almost every step of drug development. With the booming application of AI in biomedicine, it is essential to have the CMB data to promote the learning of cell-based patterns for guiding modern drug discovery, but no database providing such information has been constructed yet. In this study, we introduce MolBiC, a knowledge base designed to describe valuable data on molecular bioactivity measured within a cellular context.

OrgXenomics: an integrated proteomic knowledge base for patient-derived organoid and xenograft.

Patient-derived models (PDMs, particularly organoids and xenografts) are irreplaceable tools for precision medicine, from target development to lead identification, then to preclinical evaluation, and finally to clinical decision-making. So far, PDM-based proteomics has emerged to be one of the cutting-edge directions and massive data have been accumulated. However, such PDM-based proteomic data have not been provided by any of the available databases, and proteomics profiles of all proteins in proteomic study are also completely absent from existing databases.

An iron-based metal-organic framework nanoplatform for enhanced ferroptosis and oridonin delivery as a comprehensive antitumor strategy.

Ferroptosis is a recently discovered pathway for regulated cell death pathway. However, its efficacy is affected by limited iron content and intracellular ion homeostasis. Here, we designed a metal-organic framework (MOF)-based nanoplatform that incorporates calcium peroxide (CaO) and oridonin (ORI).

PANoptosis: a new insight for oral diseases.

PANoptosis, a burgeoning area of research, is a unique type of programmed cell death typified by pyroptosis, apoptosis, and necroptosis, yet it defies singular classification by any one mode of death. The assembly and activation of PANoptosomes are pivotal processes in PANoptosis, with several PANoptosomes already identified. Linkages between PANoptosis and the pathophysiology of various systemic illnesses are established, with increasing recognition of its association with oral ailments.

The application value of Rs-fMRI-based machine learning models for differentiating mild cognitive impairment from Alzheimer's disease: a systematic review and meta-analysis.

Background: Various machine learning (ML) models based on resting-state functional MRI (Rs-fMRI) have been developed to facilitate differential diagnosis of mild cognitive impairment (MCI) and Alzheimer's disease (AD). However, the diagnostic accuracy of such models remains understudied. Therefore, we conducted this systematic review and meta-analysis to explore the diagnostic accuracy of Rs-fMRI-based radiomics in differentiating MCI from AD.

Imbalanced Skeletal Muscle Mitochondrial Proteostasis Causes Bone Loss.

Although microgravity has been implicated in osteoporosis, the precise molecular mechanism remains elusive. Here, we found that microgravity might induce mitochondrial protein buildup in skeletal muscle, alongside reduced levels of LONP1 protein. We revealed that disruptions in mitochondrial proteolysis, induced by the targeted skeletal muscle-specific deletion of the essential mitochondrial protease LONP1 or by the acute inducible deletion of muscle LONP1 in adult mice, cause reduced bone mass and compromised mechanical function.

Prolonged, staged, and self-regulated methotrexate release coupled with ROS scavenging in an injectable hydrogel for rheumatoid arthritis therapy.

Rheumatoid arthritis (RA) remains a formidable healthcare challenge due to its chronic nature and potential for irreversible joint damage. Methotrexate (MTX) is a cornerstone treatment for RA but carries significant risks of adverse effects with repeated administration, necessitating the exploration of alternative delivery methods. Injectable hydrogels loaded with MTX for intra-articular injection present a promising solution, allowing sustained drug release directly into affected joints.

NEXMIF Combined with KIDINS220 Gene Mutation Caused Neurodevelopmental Disorder and Epilepsy: One Case Report.

Unlabelled: of Medical History: A male infant, 8 months old, was admitted to hospital with cough and fever. The clinical symptoms were found to be mental retardation, obesity, dystonia, movement limitation, and visual retardation. Early development was normal, but after 6 months, the child developed upright head instability, difficulty grasping, and seizures.