Shanxi Academy of Medical Sciences

From Single-Modal Signal Recognition to Multidimensional Precision Detection: Breakthroughs and Innovations of Multi-Modal Sensors in Tumor Biomarker Detection

The sensitive detection of tumor markers is of great significance for clinical diagnosis. Due to the extremely low abundance of early tumor biomarkers and severe background interference from biological matrices, traditional single-modal atomolar biological testing generally has l...

Adaptive Integrated Microfluidic System with Real-Time Dielectric Feedback for Deterministic Micro-Manipulation

Abstract Conventional microfluidic particle sorting systems predominantly rely on static, open-loop operational principles, rendering them highly vulnerable to performance deterioration induced by cellular phenotypic heterogeneity and localized hydrodynamic fluctuations. Here, we...

Integrating Multimodal MRI Habitat and Transformer‐Based Pathomics to Predict High‐Risk Molecular Subtypes and Explore Biological Mechanisms in Adult Diffuse Gliomas

BACKGROUND: This study aims to achieve accurate prediction of high-risk molecular subtypes of gliomas through a cross-scale Combined model, matching the model's classification metrics with patient risk stratification and exploring the underlying biological mechanisms. METHODS: Th...

Associations Between Kidney Function and Risk of Cognitive Impairment Among Chinese Older Adults

ABSTRACT Background The association between kidney function and dementia remains inconsistent across studies, and its relationship in older adults is unclear. This study aimed to investigate the longitudinal associations between kidney dysfunction, assessed by estimated glomerula...

Systems toxicology prioritization of HSD11B1 as a candidate PFOA-related metabolic homeostasis node in adrenocortical carcinoma

This study aimed to construct a hypothesis-generating evidence framework linking PFOA-related molecular target annotations to biological alterations in adrenocortical carcinoma (ACC), with emphasis on HSD11B1 as a downregulated adrenal metabolic homeostasis node and an in silico...

Development of a recurrence risk prediction model for intracranial atherosclerotic stroke using HR-VWI combined with radiomics

Based on high-resolution vessel wall imaging (HR-VWI) and radiomics, this study constructed a predictive model for stroke recurrence in patients with symptomatic intracranial atherosclerotic stenosis (sICAS), and evaluated the performance of the model. This study retrospectively...

Association between dietary vitamin B6 intake and total bone mineral density in adolescents: a cross-sectional study of NHANES 2011–2018

Adolescence is a critical period for peak bone mass acquisition, which plays a pivotal role in lifelong skeletal health. However, the association between dietary vitamin B6 intake and bone mineral density (BMD) during this developmental stage remains unclear. This study aimed to...

Associations of combined triglyceride-glucose and sarcopenia index with incident cardiovascular disease in middle-aged and older Chinese adults

Abstract Cardiovascular disease (CVD) is the leading global cause of mortality, with metabolic dysfunction and sarcopenia synergistically increasing risk in aging populations. We investigated whether cumulative exposure and dynamic trajectories of a novel combined triglyceride-gl...

Research hotspots and trends in biliary tract cancers immunotherapy are revealed by a bibliometric study spanning the years 2014 to 2024

Background: This bibliometric study aimed to map the global research landscape of immunotherapy for biliary tract cancers (BTC) from 2014 to 2023, identifying key contributors and emerging trends. Methods: We analyzed 481 English-language articles retrieved from the Web of Scienc...

Identification of transcriptomic signatures associated with an ac4C related gene set and candidate expression based clusters in osteoarthritis through integrative bioinformatics

Objective To identify osteoarthritis (OA) associated transcripts overlapping a predefined N4-acetylcytidine (ac4C) related gene set and evaluate their potential as an exploratory classification signature and basis for expression based clustering. Methods Five GEO datasets were an...

The relationship between serum FSTL1 levels and bone destruction in patients with ankylosing spondylitis

A typical autoimmune disease, ankylosing spondylitis (AS), is characterized primarily by chronic inflammation of the axial skeleton and destruction of osseous structures. Follistatin-like protein 1 (FSTL1) is a glycoprotein that regulates inflammation and bone metabolism and has...

An oncolytic virus armed with fowl adenovirus fiber-modified recombinant TRAIL enhances tumor targeting and immunotherapy activity

Oncolytic viruses have emerged as a promising strategy in cancer immunotherapy and have been applied to the treatment of various tumors. We previously demonstrated that oncolytic adenoviruses engineered expressing tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) co...

Decisional conflict regarding fertility preservation among women of reproductive age with systemic lupus erythematosus: a cross-sectional study of its level and associated factors

To describe the level of decisional conflict regarding fertility preservation among women of reproductive age with systemic lupus erythematosus (SLE) and to identify factors associated with it. Using convenience sampling, we recruited women of reproductive age with SLE attending...

Metabolic reprogramming in diabetic panvascular disease: Molecular mechanism and therapeutic strategies

Diabetes mellitus substantially increases the risk of cardiovascular, cerebrovascular, renal, retinal and peripheral vascular complications. These are collectively referred to as diabetic panvascular disease. A traditional approach that treats each complication separately is no l...

Research on the correlation between artificial intelligence and depression

This study aims to systematically assess the research productivity of artificial intelligence (AI) technologies and depression using bibliometric methods, while also exploring the trends and prospects of AI applications in the diagnosis, prediction, and treatment of depression. T...

Polydopamine-assisted architecture-enabled local delivery of miR-34a-loaded M1 macrophage extracellular vesicles and curcumin from an injectable thermogelling hydrogel for triple-negative breast cancer

Triple-negative breast cancer (TNBC) remains difficult to treat because of its aggressive phenotype, limited targetable pathways, and the need for local delivery systems that improve therapeutic retention without compromising cargo integrity. In this study, we engineered an injec...

Decision fusion model for predicting WHO/ISUP grade of clear cell renal cell carcinoma based on multi-phase CT radiomics: a multicenter study

The pathological grading of clear cell renal cell carcinoma (ccRCC) plays a critical role in both its diagnosis and treatment. This study aimed to develop a decision fusion model based on multi-phase CT to predict the WHO/ISUP grade of ccRCC. This retrospective study included cli...

Risk prediction model and intervention strategies for intraoperative hypothermia in robotic-assisted urological surgery

To develop a risk prediction model for intraoperative hypothermia in patients undergoing robotic-assisted urological surgery and formulate hierarchical warming strategies. This single-centre retrospective study calculated the sample size using G*Power 3.1. A total of 487 patients...

ZMIZ1 promotes aerobic glycolysis and development of hepatocellular carcinoma through inducing NOTCH1-mediated transcription of PYCR1

Hepatocellular carcinoma (HCC) is characterized by profound metabolic reprogramming that promotes tumor progression. Although zinc finger MIZ-type containing 1 (ZMIZ1) has been implicated in several malignancies, its biological function and underlying mechanism in HCC remain uncl...

Effects of acupuncture on brain function in patients with depression

Background: Depression poses a major global health burden. Many patients exhibit treatment resistance or experience intolerable side effects with standard therapies. Acupuncture shows promise as an adjunctive therapy for depression, but its neurobiological mechanisms remain incom...