Biomedical subjects

Xia Xu

Publications and source records attributed to Xia Xu.

3 recordsLinked to original sources

PubMed2026

Applications of metal-organic frameworks in smart packaging for food freshness indication: a comprehensive review.

Smart packaging is extensively studied for its multifunctional capabilities in antimicrobial activity, preservation, and atmosphere modification. Recently emerged metal-organic frameworks (MOFs) freshness-indicating packaging becomes a key research direction in smart packaging owing to its distinctive functions and physicochemical properties. As multifunctional materials, the unique porous structure and tunable properties of MOFs provide a distinctive approach for developing food packaging applications dedicated to food freshness indication. Existing MOFs-based smart packaging still faces potential safety risks and technical challenges in practical applications, and there remains a lack of integrated discussion that combines synthesis strategies, packaging design, optimization, and safety assessment. This review elaborates on the application of MOFs in freshness-indicating smart packaging, focusing on diverse MOFs synthesis strategies, the formats of smart packaging, types of indicator signals, and qualitative/quantitative analytical methods. It also delves into the methodology concepts of MOFs-based smart packaging and evaluates MOFs safety in food packaging by addressing potential risks. Studies show that MOFs-based smart packaging achieves qualitative and semi-quantitative analysis of food freshness through multiple signal modalities such as visible color change, fluorescence, and photothermal effects. This review emphasizes that safe MOFs design is critically important and should comply with the overall migration limit of <10 mg/dm2 specified in Regulation (EC) No 1935/2004, lanthanide element limit of <0.05 mg/kg, and FDA threshold of 1.5 μg/person/day. Comprehensive safety assessment and intelligent sensing platforms will constitute pivotal directions for advancing MOFs-based smart packaging toward practical application.

Food Packaging↗

PubMed2026

Immersive virtual reality-assisted anatomy training improves endotracheal intubation performance in simulation: a randomized controlled trial among Chinese non-anesthesiology residents.

INTRODUCTION: This study aimed to compare immersive virtual reality (IVR)-assisted versus conventional anatomy training for teaching endotracheal intubation (ETI) to novice non-anesthesiology residents enrolled in China's Standardized Residency Training program. METHODS: A total of 90 non-anesthesiology residents without prior ETI experience were randomly assigned to either an IVR group receiving IVR-assisted anatomy training (n = 45) or a control group receiving conventional anatomy training (n = 45). All participants underwent a standardized teaching protocol. The primary endpoint was residents' ETI performance on a simulator, assessed using both the Global Rating Scale (GRS) and a task-specific checklist. The secondary endpoints included changes in written multiple-choice question (MCQ) scores and residents' evaluations of the course. RESULTS: In practical ETI assessments on a manikin, the IVR group achieved significantly higher scores on the task-specific checklist than the control group (90.34 ± 2.89 vs. 87.20 ± 3.29; p < 0.001), whereas GRS scores were comparable between groups. Both groups showed significant post-training improvement in knowledge scores (p < 0.001), with the IVR group showing a greater gain in theoretical knowledge (54.0% vs. 36.3%; p < 0.001). Participants in the IVR group also expressed a stronger preference for their training method (80.8%) and reported higher levels of motivation, confidence, and enjoyment (all p < 0.05). CONCLUSION: IVR-assisted anatomy training enhances the effectiveness of ETI training for novice non-anesthesiology residents, offering an interactive, engaging, and reproducible approach within China's Standardized Residency Training framework.

Humans↗

PubMed2025

TCGA molecular subtypes in endometriosis-associated ovarian cancer: a systematic review and meta-analysis.

BACKGROUND: Endometriosis-associated ovarian cancer (EAOC) mainly includes endometrioid ovarian cancer (ENOC) and clear cell ovarian cancer (CCOC). The Cancer Genome Atlas (TCGA) revealed four molecular subtypes of endometrial cancer (EC) in 2013, which have been proven pivotal in the diagnostic, prognostic and therapeutic domains of EC. Existing evidence indicates that EC and EAOC molecular analysis have similar significance. This review aims to investigate the distribution, staging and prognostic characteristics of molecular subtypes in EAOC. METHODS: PubMed, Embase and Web of Science were systematically searched from January 2013 to December 2023 using predefined keywords. Patient characteristics, including stage and prognostic characteristics, were extracted from the selected studies. Data analysis was carried out using Stata 14MP. RESULTS: A total of 6 studies involving 1,133 patients with ENOC and 4 studies comprising 377 patients with CCOC were included. ENOC had a higher frequency of the POLE mutation (POLEmut) subtype (odds ratio (OR) = 2.29, 95% CI: 1.03-5.11, p = 0.043) and the mismatch repair deficient (MMRd) subtype (OR = 3.54, 95% CI: 2.05-6.11, p = 0.000) than CCOC; ENOC had a lower frequency of the no specific molecular profile (NSMP) subtype (OR = 0.55, 95% CI: 0.41-0.73, p = 0.000) and the p53 abnormal (p53abn) subtype (OR = 0.97, 95% CI: 0.67-1.42, p = 0.893). The hazard ratios (HR) of the p53abn subtype in ENOC were disease-free survival (DFS) (HR = 3.25, 95% CI: 1.46-7.21, p = 0.004) and progression-free survival (PFS) (HR = 4.11, 95% CI: 2.86-5.92, p = 0.000). The DFS of the p53abn subtype in CCOC was calculated (HR = 5.52, 95% CI: 3.43-8.90, p = 0.000). CONCLUSION: The TCGA subtypes of EC may exhibit similarities in prognosis between ENOC and CCOC.

Humans↗