PRDX3 promotes nasopharyngeal carcinoma tumor growth by regulating PINK1/Parkin pathway-dependent lipid peroxidation and mitochondrial dysfunction.

Background: Nasopharyngeal carcinoma (NPC) is a challenging malignancy characterized by aggressive progression and limited therapeutic efficacy. Emerging evidence implicates peroxiredoxin 3 (PRDX3), a mitochondrial peroxidase, as a critical regulator of redox homeostasis and mitochondrial integrity. Given its role in modulating cell death through mitochondrial quality control, we investigated the therapeutic potential of targeting PRDX3 in NPC.

Reduced TIGITCD56NK cells associate with disease progression and impaired immune regulation in primary Sjögren's syndrome.

Objectives: We aimed to explore the expression and clinical significance of TIGITCD56NK cells within the peripheral blood of patients with primary Sjögren's syndrome (pSS) in this study, as well as to examine the role of TIGIT in modulating NK cell function in individuals with pSS.

Methods: The percentage of TIGITCD56NK cells was detected in the peripheral blood of 76 individuals with pSS and 63 healthy controls (HCs) using flow cytometry. The percentage of TIGITCD56NK cells across various clinical features, laboratory parameters, and between active and inactive patients was analyzed.

Injectable biomimetic nano-hydrogel composite based on copper selenide nanoparticles and carboxymethyl chitosan for synergistic chemo-photothermal cancer therapy.

This study reports the synthesis and characterization of an injectable nano-hydrogel composite (m@NPs-HG) based on selenium nanoparticles (Se NPs) and carboxymethyl chitosan (CMCS) nanoparticles for enhanced cancer therapy. Selenium nanoparticles were stabilized using CMCS to form copper selenide nanoparticles (CSe NPs), while doxorubicin (DOX)-loaded CMCS nanoparticles (CD NPs) were encapsulated within cancer cell membranes to generate biomimetic nanoparticles (m@NPs). Subsequently, CSe NPs and m@NPs were integrated into a hydrogel via crosslinking with CuCl, resulting in the formation of m@NPs-HG.

SHP2 inhibition by SHP099 attenuates IL-6-driven osteoclastogenesis in growth plate injury.

Introduction: Disruption of growth plate cartilage often leads to severe bone growth defects in children, necessitating novel therapeutic strategies. Following growth plate injury, an inflammatory response is rapidly initiated, resulting in the release of pro-inflammatory cytokines such as IL-6 into the injured tissue, which subsequently induce and enhance osteoclast generation and differentiation. This study investigates the role of SHP2 in regulating IL-6-driven osteoclastogenesis during growth plate injury repair.

CLDN4 promotes ferroptosis and inflammation involving JAK2/STAT3 pathway in acute pancreatitis.

Acute pancreatitis (AP) is a severe inflammatory disease characterized by pancreatic acinar cell injury and oxidative stress. Ferroptosis, an iron-dependent form of cell death driven by lipid peroxidation, has been implicated in AP pathogenesis. However, the molecular mechanisms linking ferroptosis to AP remain unclear.

Nrf2 Activation Mitigates Silver Nanoparticle-Induced Ferroptosis in Hepatocytes.

Silver nanoparticles (AgNPs), a promising class of metallic nanomaterials with strong antibacterial properties and biomedical potential, are increasingly being used in a variety of consumer products. The widespread application of AgNPs has raised concerns about their toxicological effects, particularly their accumulation in the liver and the associated oxidative stress. However, the precise molecular mechanisms driving these effects remain unclear.

Activation of M1 macrophages promotes diabetic kidney disease by modulating glycolysis via HIF-1α-HK2 signaling pathway.

Objective: Macrophages and glycolysis play a pivotal role in diabetic kidney disease (DKD). However, the regulation of macrophage glycolysis and its mechanism are still unclear in DKD. Thus, this research intends to investigate the regulatory mechanism of macrophage glycolysis during DKD.

Dosimetric comparison of hybrid IMRT and different arc techniques VMAT after breast-conserving surgery for left-sided breast cancer.

Purpose: This study aimed to comprehensively compare the dosimetric characteristics of three different radiotherapy techniques-hybrid intensity-modulated radiotherapy (hy-IMRT), tangential volumetric-modulated arc therapy (t-VMAT), and continuous volumetric-modulated arc therapy (c-VMAT)-used after breast-conserving surgery for left-sided breast cancer in the target area and organs at risk (OARs) after breast-conserving surgery for left-sided breast cancer. This evaluation aims to provide a solid basis for individualized radiotherapy planning in clinical practice.

Methods: Twenty female patients who underwent breast-conserving surgery for left-sided breast cancer were retrospectively selected.

Molecular characterization and prognostic modeling associated with M2-like tumor-associated macrophages in breast cancer: revealing the immunosuppressive role of DLG3.

Background: M2-like tumor-associated macrophages (TAMs) promote an immunosuppressive microenvironment and contribute to tumor progression and metastasis. However, their molecular characterization and prognostic value have not been fully explored in the field of breast cancer.

Methods: Weighted gene co-expression network analysis (WGCNA) was used to identify modules significantly associated with M2-like TAMs.

The Effectiveness of Nurse-Led Multidimensional Digital Cardiac Rehabilitation in Patients With Unstable Angina Undergoing Percutaneous Coronary Intervention: Emulated Target Trial.

Background: Cardiac rehabilitation (CR) interventions for patients with coronary heart disease are increasingly adopted. However, research on the integration of digital health technologies into CR for patients with unstable angina (UA) undergoing percutaneous coronary intervention (PCI) remains limited.

Objective: This study assessed the effectiveness of a multidimensional digital CR program for patients with UA undergoing PCI.

Correction: tRF-1:28-Val-CAC-2 promotes the development of nasopharyngeal cancer by targeting EPHB2.

[This corrects the article DOI: 10.3389/fonc.2025.

Quantum integration in swin transformer mitigates overfitting in breast cancer screening.

To explore the potential of quantum computing in advancing transformer-based deep learning models for breast cancer screening, this study introduces the Quantum-Enhanced Swin Transformer (QEST). This model integrates a Variational Quantum Circuit (VQC) to replace the fully connected layer responsible for classification in the Swin Transformer architecture. In simulations, QEST exhibited competitive accuracy and generalization performance compared to the original Swin Transformer, while also demonstrating an effect in mitigating overfitting.

Machine learning-based predictive model for acute pancreatitis-associated lung injury: a retrospective analysis.

Background: Acute Pancreatitis-Associated Lung Injury (APALI) is one of the most severe and life-threatening systemic complications in acute pancreatitis patients, with high rates of morbidity and mortality. This study aims to develop a prediction model for the diagnosis of APALI based on machine learning algorithms.

Methods: This study included data from the First Affiliated Hospital of Bengbu Medical College (July 2012 to June 2022), which were randomly categorized into the training and testing set.

Case Report: A long-term survival case of primary malignant melanoma of the lung with meningeal metastasis.

Background: Malignant melanoma originating in the lungs is relatively rare, accounting for only 0.01% of lung tumors, and has a poor prognosis and is prone to distant metastasis. Notably, melanoma is the third most common source of intracranial metastases in adults, after lung and breast cancer.

A model based on preoperative nutrition-inflammation score for predicting mucocutaneous separation after enterostomy in colorectal cancer patients.

Mucocutaneous separation (MCS) is a common early complication after colorectal cancer (CRC) surgery. The aim of the present study is to investigate the predictive value of preoperative nutrition-inflammation markers for MCS and establish a novel predictive model. The internal cohort composed of CRC patients admitted to Changhai Hospital Affiliated to Naval Medical University was randomly divided into a training cohort and an internal validation cohort at a ratio of 7:3, while patients from the First Affiliated Hospital of Bengbu Medical University and 72nd Group Army Hospital formed an external cohort.

Thymoquinone mediated hedgehog pathway activation and gut microbiota modulation in mouse colitis.

To investigate the treatment of ulcerative colitis by thymoquinone (TQ) through the Hedgehog signaling pathway and the composition of intestinal microbiota. A total of 24 male Balb/C mice were randomly divided into blank group, model group, thymoquinone low-dose group (20 mg/kg) and thymoquinone high-dose group (80 mg/kg), with 6 mice in each group. The concentrations of IL-1β, TNF-α, IL-10 and TGF-β in the supernatant of mouse serum were determined by enzyme-linked immunosorbent assay, and the expressions of Shh, Smo, Gli1, Ptch1, Atresin -1 (ZO-1) and Occludin in the mouse colon were detected by RT-qPCR, Western blot and immunohistochemistry.

Global burden of nasopharyngeal carcinoma attributable to alcohol use: a 1990-2021 analysis with projections to 2040.

Background: Nasopharyngeal carcinoma attributable to alcohol use (NPC-AU) contributes substantially to global cancer mortality and disability, yet its temporal and geographic patterns remain incompletely described.

Objectives: To assess the global, regional, and national burden of NPC-AU from 1990 to 2021 and project trends through 2040.

Material And Methods: Using GBD 2021 data, global, regional, and national age-standardized mortality rates (ASMR) and disability-adjusted life-years rates (ASDR) attributable to alcohol were evaluated.

Effect of sivelestat sodium on the incidence of ventilator-associated pneumonia in patients with sepsis and ARDS.

Objectives: To evaluate the efficacy of sivelestat sodium in reducing ventilator-associated pneumonia (VAP) in patients with sepsis and acute respiratory distress syndrome (ARDS).

Methods: A retrospective analysis was performed on the clinical data of 187 adult patients with sepsis combined with ARDS admitted to the intensive care unit (ICU) of Fuyang Second People's Hospital from 1 January 2022 to 1 December 2024. Among these patients, 60 received sivelestat sodium as part of their treatment, while 127 did not.

Investigation and risk factor analysis of anxiety and depression in patients with lower extremity arteriosclerosis obliterans.

Background: The prevalence of lower extremity arteriosclerosis obliterans (LEASO) in China is progressively increasing with the increment in age. Certain patients may be diagnosed with lower extremity arterial stenosis and occlusion that resist complete curative efforts, which will invariably impose a substantial psychological strain on them.

Aim: To investigate the anxiety and depression conditions among patients with LEASO and analyze the associated risk factors.

A latent profile analysis of post-traumatic growth in spouses of breast cancer patients.

Introduction: Post-traumatic growth is the positive psychological changes that an individual may undergo after coping with traumatic events. It can help individuals alleviate negative emotions, reduce physical and mental stress, and enhance self-efficacy. This study aims to characterize the latent profiles of spouses' post-traumatic growth and to explore the related factors for each subgroup based on the ABC-X model.

[Preoperative discrimination of colorectal mucinous adenocarcinoma using enhanced CT-based radiomics and deep learning fusion model].

To develop a preoperative differentiation model for colorectal mucinous adenocarcinoma and non-mucinous adenocarcinoma using a combination of contrast-enhanced CT radiomics and deep learning methods. This is a retrospective case series study. Clinical data of colorectal cancer patients confirmed by postoperative pathological examination were retrospectively collected from January 2016 to December 2023 at Shanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (Center 1, =220) and the First Affiliated Hospital of Bengbu Medical University (Center 2, 51).

Irisin-Based Nanocomposites for Antioxidant Purpose and the Promotion of Osteogenesis in the Inflammatory Microenvironment.

Current clinical periodontitis treatments including surgical treatment and antibacterial treatment might cause excessive immune response in the host and cannot effectively promote the regeneration of periodontal tissue. In this study, we explored irisin serving as a novel biomarker in gingival tissues from periodontitis patients and confirmed its immunoregulatory roles, including its capacity to scavenge reactive oxygen species (ROS) and suppress inflammatory responses, through activation of the P53 and PPAR-γ signaling pathways. Furthermore, we established a bioactive glass nanoparticle compound with irisin (IR-nBG) and evaluated its antioxidant and osteoimmunomodulatory properties in a ROS-rich inflammatory microenvironment.

Developing a novel diagnostic model for identifying high-risk plaques in new onset unstable angina pectoris using coronary CT angiography.

Background: Limited evidence supports the use of electronic health records for developing prediction models to identify high-risk plaques in patients with unstable angina pectoris (UAP). This study aimed to develop and validate a practical high-risk plaque prediction model in patients with new onset UAP.

Methods: We prospectively enrolled consecutive patients presenting with new-onset UAP who underwent both coronary angiography and coronary computed tomography angiography (CCTA) at our center from January 2021 to December 2021.

Development of a relapse-related RiskScore model to predict the drug sensitivity and prognosis for patients with ovarian cancer.

Background: Ovarian cancer (OC) is a highly aggressive malignancy in the reproductive system of women, with a high recurrence rate. The present research was designed to establish a relapse-based RiskScore model to assess the drug sensitivity and prognosis for patients with OC.

Methods: Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases were accessed to obtain relevant sample data.