Objective: To investigate the efficacy of magnesium-strontium co-doped hydroxyapatite mineralized collagen (MSHA/Col) in improving the bone repair microenvironment and enhancing bone regeneration capacity, providing a strategy to address the insufficient biomimetic composition and limited bioactivity of traditional hydroxyapatite mineralized collagen (HA/Col) scaffolds. Methods: A high-molecular-weight polyacrylic acid-stabilized amorphous calcium magnesium strontium phosphate precursor (HPAA/ACMSP) was prepared. Its morphology and elemental distribution were characterized by high-resolution transmission electron microscopy (TEM) and energy-dispersive spectroscopy. Recombinant collagen sponge blocks were immersed in the HPAA/ACMSP mineralization solution. Magnesium-strontium co-doped hydroxyapatite was induced to deposit within collagen fibers (experimental group: MSHA/Col; control group: HA/Col). The morphological characteristics of MSHA/Col were observed using scanning electron microscopy (SEM). Its crystal structure and chemical composition were analyzed by X-ray diffraction and Fourier transform infrared spectroscopy, respectively. The mineral phase content was evaluated by thermogravimetric analysis. The scaffold's porosity, ion release, and in vitro degradation performance were also determined. For cytological experiments, CCK-8 assay, live/dead cell staining, alkaline phosphatase staining, alizarin red S staining, RT-qPCR, and western blotting were used to evaluate the effects of the MSHA/Col scaffold on the proliferation, viability, early osteogenic differentiation activity, late mineralization capacity, and gene and protein expression levels of key osteogenic markers [runt-related transcription factor 2 (Runx2), collagen type Ⅰ (Col-Ⅰ), osteopontin (Opn), and osteocalcin (Ocn)] in mouse embryonic osteoblast precursor cells (MC3T3-E1). Results: HPAA/ACMSP appeared as amorphous spherical nanoparticles under TEM, with energy spectrum analysis showing uniform distribution of carbon, oxygen, calcium, phosphorus, magnesium, and strontium elements. SEM results of MSHA/Col indicated successful complete intrafibrillar mineralization. Elemental analysis showed the mass fractions of magnesium and strontium were 0.72% (matching the magnesium content in natural bone) and 2.89%, respectively. X-ray diffraction revealed characteristic peaks of hydroxyapatite crystals (25.86°, 31°-34°). Infrared spectroscopy results showed characteristic absorption peaks for both collagen and hydroxyapatite. Thermogravimetric analysis indicated a mineral phase content of 78.29% in the material. The scaffold porosity was 91.6% ± 1.1%, close to the level of natural bone tissue. Ion release curves demonstrated sustained release behavior for both magnesium and strontium ions. The in vitro degradation rate matched the ingrowth rate of new bone tissue. Cytological experiments showed that MSHA/Col significantly promoted MC3T3-E1 cell proliferation (130% increase in activity at 72 h, P < 0.001). MSHA/Col exhibited excellent efficacy in promoting osteogenic differentiation, significantly upregulating the expression of osteogenesis-related genes and proteins (Runx2, Col-Ⅰ, Opn, Ocn) (P < 0.01). Conclusion The MSHA/Col scaffold achieves dual biomimicry of natural bone in both composition and structure, and effectively promotes osteogenic differentiation at the genetic and protein levels, breaking through the functional limitations of pure hydroxyapatite mineralized collagen. This provides a new strategy for the development of functional bone repair materials

Objective: To fabricate a hydrogel loaded with inositol hexaphosphate-zinc and preliminarily evaluate its performance in self-mineralization and osteoinduction, thereby providing a theoretical basis for the development of bone regeneration materials. Methods: The hydrogel framework (designated DF0) was formed by copolymerizing methacryloyloxyethyltrimethylammonium chloride and four-armed poly(ethylene glycol) acrylate, followed by sequentially loading inositol hexaphosphate anions via electrostatic interaction and zinc ions via chelation. The hydrogel loaded only with inositol hexaphosphate anions was named DF1, while the co-loaded hydrogel was named DF2. The self-mineralization efficacy of the DF0 , DF1 and DF2 hydrogels was characterized using scanning electron microscopy, transmission electron microscopy (TEM), energy dispersive spectroscopy (EDS), and selected area electron diffraction (SAED). The biocompatibility was assessed via live/dead cell staining and a CCK-8 assay. The osteoinductive capacity of the DF0 , DF1 and DF2 hydrogels on MC3T3-E1 cells was assessed via alkaline phosphatase (ALP) and Alizarin Red S (ARS) staining. In the aforementioned cell experiments, cells cultured in standard medium served as the control group Results: The DF0, DF1, and DF2 hydrogels were successfully synthesized. Notably, DF1 and DF2 exhibited distinct self-mineralization within 6 days. Results from TEM, EDS, and SAED confirmed that the mineralization products were amorphous calcium phosphate in group DF1, and amorphous calciumzinc phosphate in group DF2. Biocompatibility tests revealed that none of the hydrogels (DF0, DF1, and DF2) adversely affected cell viability or proliferation. In osteogenic induction experiments, both ALP and ARS staining were intensified in the DF1 and DF2 groups, with the most profound staining observed in the DF2 group. Conclusion The developed inositol hexaphosphate-zinc hydrogel (DF2) demonstrates the dual capacity to generate calcium-phosphate compounds through self-mineralization while exhibiting excellent osteoinductive properties. This biocompatible, dual-promoting osteogenic hydrogel presents a novel strategy for bone regeneration.

Over the past two decades, genome-wide association study(GWAS) has identified numerous genetic variants and loci associated with heritable diseases. With the gradual maturation and saturation of GWAS methodologies, transcriptome-wide association study(TWAS) offers a novel perspective by linkinggenetic phenotypes to gene expression levels. By integrating TWAS with other multi-omics analyses, researchers can gain a deeper understanding of heritable diseases. This article provides an overview of recent groundbreaking and representative TWAS methods and tools, analyzes their strengths and limitations, and discusses future trends in TWAS development.

ObjectiveTo analyze the clinicopathological features of patients with comorbidities of chronic hepatitis B （CHB） and steatotic liver disease （SLD）， to investigate the impact of hyperglycemia on the risk of liver fibrosis and end-stage liver diseases （ESLD）， and to provide a basis for the clinical management of such population. MethodsA total of 668 adult patients with CHB-SLD confirmed by liver biopsy in The Fifth Medical Center of Chinese PLA General Hospital from January 2011 to December 2019 were enrolled， and a retrospective cohort was established with the time of liver biopsy as the baseline and the onset of ESLD as the endpoint. All patients were followed up to March 31， 2024. Propensity score matching （PSM） was performed at a ratio of 1∶4 to balance baseline features between groups， resulting in 82 patients in the hyperglycemia group and 281 in the non-hyperglycemia group. The two groups were compared in terms of metabolic profiles， laboratory markers， and histopathological features. The Mann-Whitney U test was used for comparison of non-normally distributed quantitative data between two groups. The chi-square test or Fisher exact test was used for comparison of categorical data between two groups. A multivariate Logistic regression analysis was used to investigate the influencing factors for advanced fibrosis （AF）， and the Kaplan-Meier survival analysis and the Cox proportional-hazards regression model were used to determine the influencing factors for the development of ESLD. ResultsCompared with the non-hyperglycemia group， the hyperglycemia group had a significantly higher number of factors for metabolic disorders， a significantly higher degree of hepatic steatosis， and a significantly higher detection rate of AF （all P<0.05）. The multivariate Logistic regression analysis showed that hyperglycemia was a risk factor for AF （odds ratio = 1.753， 95% confidence interval ［CI］： 1.017　—　3.023， P=0.043）. The survival analysis showed that hyperglycemia increased the risk of ESLD （χ²=4.340， P=0.037）. The multivariate Cox regression analysis confirmed that hyperglycemia was a significant metabolic risk factor for ESLD in patients with AF （adjusted hazard ratio=3.208， 95%CI： 1.201　—　8.568， P=0.020）. ConclusionHyperglycemia can increase the risk of AF and ESLD in CHB-SLD patients. Clinical monitoring and active management should be strengthened for patients who have already developed AF and hyperglycemia.

Animal experiments are an essential component of life sciences and medical research. However, the external validity and reliability of individual animal studies are frequently challenged by inherent limitations such as small sample sizes, high design heterogeneity, and poor reproducibility, which impede the effective translation of research findings into clinical practice. Systematic reviews and meta-analysis represent a key methodology for integrating existing evidence and enhancing the robustness of conclusions. Currently, however, the application of systematic reviews and meta-analysis in the field of animal experiments lacks standardized guidelines for their conduct and reporting, resulting in inconsistent quality and, to some extent, diminishing their evidence value. To address this issue, this paper aims to systematically delineate the reporting process for systematic reviews and meta-analysis of animal experiments and to propose a set of standardized recommendations that are both scientific and practical. The article's scope encompasses the entire process, from the preliminary preparatory phase [including formulating the population， intervention， comparison and outcome （PICO） question, assessing feasibility, and protocol pre-registration] to the key writing points for each section of the main report. In the core methods section, the paper elaborates on how to implement literature searches, establish eligibility criteria, perform data extraction, and assess the risk of bias, based on the Preferred Reporting Items for Systematic Reviews and Meta-analysis （PRISMA) statement, in conjunction with relevant guidelines and tools such as Animal Research： Reporting of in Vivo Experiments （ARRIVE) and a risk of bias assessment tool developed by the Systematic Review Centre for Laboratory Animal Experimentation (SYRCLE). For the presentation of results, strategies are proposed for clear and transparent display using flow diagrams and tables of characteristics. The discussion section places particular emphasis on how to scientifically interpret pooled effects, thoroughly analyze sources of heterogeneity, evaluate the impact of publication bias, and cautiously discuss the validity and limitations of extrapolating findings from animal studies to clinical settings. Furthermore, this paper recommends adopting the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology to comprehensively grade the quality of evidence. Through a modular analysis of the entire reporting process, this paper aims to provide researchers in the field with a clear and practical guide, thereby promoting the standardized development of systematic reviews and meta-analysis of animal experiments and enhancing their application value in scientific decision-making and translational medicine.

Metabolic dysfunction-associated fatty liver disease （MAFLD） and its progressive form， metabolic dysfunction-associated steatohepatitis （MASH）， have emerged as significant types of chronic liver disease worldwide and are closely associated with metabolic syndrome. The liver-extrahepatic organ/tissue axis and the “spill-over effect” of intrahepatic inflammation play pivotal roles in the pathogenesis and progression of MAFLD/MASH， significantly impacting multi-organ metabolic homeostasis and leading to various extrahepatic injuries. These include cardiovascular diseases， sarcopenia， chronic kidney disease， non-alcoholic fatty pancreas disease， polycystic ovary syndrome， hepatocellular carcinoma， and various related solid tumors. There is a notable epidemiological link between MAFLD and the development of both liver cancer and extrahepatic malignancies. The risk of associated tumorigenesis is related to multiple factors， including persistent metabolic disorders， chronic low-grade inflammation， and gut microbiota dysbiosis. Recent research perspectives have shifted from focusing solely on hepatic pathology to recognizing systemic metabolic dysregulation， emphasizing the central role of liver-extrahepatic organ interactions in disease progression. This article aims to explore the pathogenesis of MAFLD/MASH and to review the mechanisms underlying related multi-organ extrahepatic injuries.

Objective: To investigate the factors affecting carotid plaques among perimenopausal women, so as to provide the basis for the prevention and early intervention of cardiovascular diseases in perimenopausal women. Methods: Perimenopausal women aged 40-60 who underwent health check-ups at Xingtai People's Hospital from January 2022 to January 2023 were selected as subjects by convenient sampling method. Demographic information, lifestyle, waist-to-hip ratio, and blood biochemical indicators were collected through questionnaire surveys, physical examinations, and laboratory tests. Carotid plaques were detected using a Doppler ultrasound diagnostic instrument. Factors affecting carotid plaques among perimenopausal women were identified using a multivariable logistic regression model. Results: Totally 2 146 perimenopausal women were surveyed, with an age of (50.04±5.82) years. Carotid plaques were detected in 525 cases, with a detection rate of 24.46%. Multivariable logistic regression analysis showed that older age (45-<50 years old, OR=1.474, 95%CI: 1.062-2.047; 55-60 years old, OR=1.779, 95%CI: 1.276-2.481), residing in urban areas (OR=1.601, 95%CI: 1.079-2.376), drinking (OR=1.805, 95%CI: 1.108-2.941), hypertension (OR=1.815, 95%CI: 1.290-2.553), abnormal waist-to-hip ratio (OR=2.479, 95%CI: 1.982-3.101), and abnormal atherogenic index of plasma (OR=1.325, 95%CI: 1.064-1.650) were associated with a higher risk of carotid plaques. College degree or above (college, OR=0.659, 95%CI: 0.502-0.865; bachelor's degree or above, OR=0.517, 95%CI: 0.397-0.673), physical exercise (OR=0.621, 95%CI: 0.494-0.781) were associated with a lower risk of carotid plaques. Conclusion The carotid plaques among perimenopausal women mainly affected by age, place of residence, educational level, alcohol consumption, physical exercise, hypertension, waist-to-hip ratio and atherogenic index of plasma.

Objective: To analyze the timeliness of antir-etroviral therapy (ART) and its influencing factors among newly reported HIV/AIDS cases in Wenzhou City, Zhejiang Province from 2016 to 2023, so as to provide a reference for improving the ART effect of HIV/AIDS cases. Methods: Newly reported HIV/AIDS cases in Wenzhou City from 2016 to 2023 were selected as the research subjects. Demographic information, the situation of the first CD4+ T lymphocyte (CD4 cell) test, baseline CD4 cell count, and ART situation were collected through the Chinese Disease Prevention and Control Information System. The timely rate of ART was analyzed, and the influencing factors for timely ART among HIV/AIDS cases were analyzed using a multivariable logistic regression model. Results: A total of 4 500 newly reported HIV/AIDS cases in Wenzhou City from 2016 to 2023 were included, among which 3 679 were males, accounting for 81.76%, and 821 were females, accounting for 18.24%. The median age was 46.24 (interquartile range, 26.23) years. Among these cases, 3 606 received timely ART, with a timely rate of 80.13%. The timely rate of ART increased from 57.54% in 2016 to 91.97% in 2023 (P<0.05). Multivariable logistic regression analysis showed that unmarried/divorced/widowed (OR=0.769, 95%CI: 0.641-0.922), detainees (OR=0.492, 95%CI: 0.269-0.900), untimely first CD4 cell test (OR=0.278, 95%CI: 0.234-0.330), baseline CD4 cell count ≥200 cells/µL (OR=0.709, 95%CI: 0.595-0.843) or undetected (OR=0.131, 95%CI: 0.080-0.213) were associated with a lower timeliness for ART among HIV/AIDS cases. Conclusion From 2016 to 2023, the timely rate of ART among newly reported HIV/AIDS cases in Wenzhou City showed an upward trend, which was mainly affected by marital status, case source, timeliness of the first CD4 cell test, and baseline CD4 cell count.

Large language models (LLMs) such as ChatGPT, Claude, Llama, and Qwen are emerging as transformative technologies for the diagnosis and treatment of various diseases. With their exceptional long-context reasoning capabilities, LLMs are proficient in clinically relevant tasks, particularly in medical text analysis and interactive dialogue. They can enhance diagnostic accuracy by processing vast amounts of patient data and medical literature and have demonstrated their utility in diagnosing common diseases and facilitating the identification of rare diseases by recognizing subtle patterns in symptoms and test results. Building on their image-recognition abilities, multimodal LLMs (MLLMs) show promising potential for diagnosis based on radiography, chest computed tomography (CT), electrocardiography (ECG), and common pathological images. These models can also assist in treatment planning by suggesting evidence-based interventions and improving clinical decision support systems through integrated analysis of patient records. Despite these promising developments, significant challenges persist regarding the use of LLMs in medicine, including concerns regarding algorithmic bias, the potential for hallucinations, and the need for rigorous clinical validation. Ethical considerations also underscore the importance of maintaining the function of supervision in clinical practice. This paper highlights the rapid advancements in research on the diagnostic and therapeutic applications of LLMs across different medical disciplines and emphasizes the importance of policymaking, ethical supervision, and multidisciplinary collaboration in promoting more effective and safer clinical applications of LLMs. Future directions include the integration of proprietary clinical knowledge, the investigation of open-source and customized models, and the evaluation of real-time effects in clinical diagnosis and treatment practices.
Humans ; Large Language Models ; Tomography, X-Ray Computed

Xiang thinking is a cognitive approach that reflects the relationships between phenomena and their underlying principles by analyzing their external manifestations through methods such as analogy， reasoning， deduction， and symbolism. This article applied xiang thinking to analyze the etiology and pathogenesis of "wind， fire， phlegm， and blood stasis" in stroke， thereby exploring its impact on the principles of syndrome differentiation and treatment of this condition. Meanwhile， the article traced the construction process of xiang thinking， and interpreted the concept of "toxin pathogen" in traditional Chinese medicine from four perspectives， state， attribute， origin， and law. Furthermore， the relationship between the process of constructing xiang thinking and the origin of etiology， identification methods， pathogenesis evolution， and treatment strategies for stroke with syndrome of combined blood stasis and toxin was explored， so as to provide insights into research on the etiology and pathogenesis of stroke， as well as clinical diagnosis and treatment approaches.