With the intensifying global aging population and the high incidence of musculoskeletal diseases, the adaptability limitations of traditional standardized orthopedic implants have become increasingly prominent, driving an urgent demand for personalized solutions under the precision medicine paradigm. Relying on medical imaging-based three-dimensional (3D) reconstruction, personalized design optimization, multi-material adaptation, and precise molding processes, 3D printing technology has transformed orthopedic implants from a "general-purpose" to a "special-purpose" paradigm, enabling the fabrication of implants, surgical guides, and anatomical models that precisely match patients' anatomical structures and mechanical requirements. This technology has been widely applied in joint replacement, spinal surgery, bone tumor repair, trauma orthopedics, and ligament reconstruction, significantly improving surgical precision, efficiency, and functional outcomes. However, its large-scale clinical application still faces challenges, including insufficient technical reliability, high time and economic costs, and imperfect medical regulatory oversight and interdisciplinary collaboration. In the future, with the deep integration of artificial intelligence and the development of 4D printing technology, 3D-printed orthopedic implants are expected to evolve towards self-adaptive and intelligent directions, providing more comprehensive solutions for personalized orthopedic medicine and driving innovation in diagnostic and treatment paradigms.

To explore whether there are shared genetic risk loci and common disease mechanisms between knee osteoarthritis (KOA) and arteriosclerosis (AS).

Thirty-three subjects enrolled at Peking University Shougang Hospital were divided into a control group (n=8), a KOA group (n=11), and a KOA-AS group (n=14). Candidate single nucleotide polymorphisms (SNPs) were selected through literature review and genome-wide association study (GWAS) data. Genotyping was performed using MassARRAY mass spectrometry, and the results were validated using the FinnGen database. Additionally, targeted metabolomics (UPLC-MS/MS) was employed to detect serum metabolites, analyze their changing trends, and identify enriched pathways.

Among the candidate SNPs tested, the rs1426371 locus (located within the WSCD2 gene) demonstrated a significant difference in allele frequency between the KOA and AS groups, even after Bonferroni correction (P＜0.001). Database validation indicated that this locus is associated with musculoskeletal and metabolic diseases, including type 2 diabetes and hypertension. Metabolomic analysis identified 276 metabolites. Enrichment analysis revealed significant alterations in histidine metabolism and glycine-serine-threonine metabolism pathways in both the KOA and KOA-AS groups, involving metabolites including histamine, imidazoleacetic acid, and glycine.

This preliminary study suggests that rs1426371 may serve as a shared genetic risk locus for KOA and AS. It potentially contributes to the common pathophysiological processes of both diseases by influencing histidine and glycine metabolic pathways. These findings provide genetic and metabolic insights into the "metabolic inflammation" mechanism underlying KOA-AS comorbidity.

To evaluate an internet technology-empowered, multidisciplinary collaborative rehabilitation model—involving physicians, nurses, and therapists—for patients after anterior cruciate ligament (ACL) reconstruction.

A total of 127 patients undergoing ACL reconstruction at the Sixth Peoples Hospital of Shanghai from August 2023 to January 2024 were randomized to an observation group (n=68) receiving an internet-supported collaborative program or a control group (n=59) receiving conventional follow-up. Patients were followed for 1 year. Primary outcomes included International Knee Documentation Committee (IKDC) score and functional performance (Tegner, limb symmetry, range of motion, and isokinetic strength). Secondary outcomes included continuity-of-care satisfaction, rehabilitation self-efficacy, adherence, and collaboration efficiency.

Baseline characteristics were comparable between the two groups (all P＞0.05). The observation group had higher IKDC scores at 3 and 6 months (P=0.0021 and 0.0179, respectively), while the between-group difference at 1 year was not statistically significant. Tegner score was significantly higher in the observation group at 1 year (P＜0.0001), and several early-to-mid functional measures also favored this group (all P＜0.05). Satisfaction, self-efficacy (3 months to 1 year), adherence (3 months to 1 year), and collaboration efficiency were all superior in the observation group (all P＜0.05).

The internet-supported collaborative model improves patient-reported outcomes and multidisciplinary efficiency and may accelerate functional recovery, particularly in the early-to-mid postoperative period.

To evaluate morphological and mechanical changes in lower limb skeletal muscles of patients with type 2 diabetes mellitus (T2DM) and diabetic peripheral neuropathy (DPN) using conventional ultrasonography combined with shear wave elastography (SWE), to analyze the associations between muscle ultrasound parameters and clinical indicators, and to explore potential imaging indicators for assessing DPN status.

A total of 115 patients with T2DM diagnosed at the Department of Endocrinology, Hefei Second People's Hospita and 55 healthy controls (group A) were prospectively enrolled in this study. Based on clinical symptoms and signs of DPN and nerve conduction study (NCS) results, patients with T2DM were divided into a non-DPN group (group B, n=62) and a DPN group (group C, n=53). General clinical data were collected for all participants. Ultrasonography was performed to measure the muscle thickness (MT) of the bilateral rectus femoris and gastrocnemius muscles, as well as the shear wave velocity (SWV) under resting and contraction conditions. The difference between contraction and resting SWV (ΔSWV) was calculated. Spearman correlation analysis was used to evaluate associations between ultrasound parameters and clinical indicators. Logistic regression analysis was performed to determine the independent association between ΔSWV and DPN status. The reliability of ultrasound measurements was assessed using the intraclass correlation coefficient (ICC).

There were statistically significant differences in rectus femoris and gastrocnemius muscle thickness and elasticity parameters among the three groups. (P＜0.05). Resting SWV of both muscles gradually decreased from group A to group B and further to group C. During muscle contraction, contraction-related parameters of the rectus femoris showed significant reduction only in group C, whereas those of the gastrocnemius decreased in group B and were further reduced in group C. In patients with T2DM, MT, resting SWV, and ΔSWV of both muscles were negatively correlated with HbA1c levels and Toronto Clinical Scoring System (TCSS) scores (P＜0.05). Logistic regression analysis showed that ΔSWV of both the rectus femoris and gastrocnemius were independent protective factors for DPN (P＜0.05). Reproducibility analysis demonstrated good reliability, with ICC values for MT and SWV ranging from 0.824 to 0.905.

Patients with T2DM without DPN may already exhibit alterations in skeletal muscle mechanical properties, whereas both morphological and mechanical changes become more pronounced in those with DPN. The ΔSWV of the rectus femoris and gastrocnemius are independently associated with DPN status. Conventional ultrasonography combined with SWE may serve as a useful tool for evaluating diabetes-related skeletal muscle alterations.

To investigate the effect of the IDEAS model in improving perioperative rehabilitation outcomes in patients undergoing robot-assisted radical resection for colorectal cancer.

One hundred patients who underwent robot-assisted radical surgery for colorectal cancer at the Affiliated Hospital of Inner Mongolia Medical University between July 2024 and October 2025 were selected as subjects and randomly divided into either an experimental group or a control group, with 50 patients in each group. In both groups, routine visits were conducted, and in the experimental group, the IDEAS model was additionally implemented. Physiological stress indicators (heart rate, systolic blood pressure, and diastolic blood pressure), coping styles [Simple Coping Style Questionnaire (SCSQ)], quality of life (SF-36), complication incidence, and treatment adherence were compared between the two groups.

After the intervention, the experimental group showed significantly lower scores on the negative coping dimension compared to pre-intervention levels, and these scores remained lower than those of the control group (P＜0.001). Conversely, the experimental group demonstrated a significant increase in scores on the positive coping dimension compared to the control group (P＜0.001). The experimental group also achieved higher quality of life scores and better treatment compliance (level 4) than the control group (P＜0.05). Furthermore, physiological stress indicators were more stable in the experimental group than in the control group after the intervention (P＜0.001). Although the experimental group had a lower complication rate than the control group, the difference was not statistically significant (P=0.242).

The IDEAS model not only reduces negative coping levels and stabilizes preoperative physiological stress indicators in patients undergoing robot-assisted radical surgery for colorectal cancer, but also improves their positive coping levels, quality of life, and therapeutic compliance.

To establish and validate a standardized protocol integrating traditional biochemical, immunological, and mass spectrometric techniques for the identification of Mycobacterium tuberculosis (M. tb) clinical isolates, and to screen candidate strains with typical characteristics.

Classical methods, including the heat-stable catalase test, PNB growth test, nitrate reduction test, Tween-80 hydrolysis test, urease test, MPT64 antigen detection, and MALDI-TOF MS, were used to identify clinical isolates obtained from sputum samples. Whole-genome sequencing was employed to analyze the genetic background and signature genes of the strains, and the broth microdilution method was used to determine the minimum inhibitory concentrations (MICs) of 16 anti-tuberculosis drugs.

Basic biochemical tests showed that the clinical isolates exhibited characteristics consistent with M. tb. MPT64 antigen colloidal gold detection was positive for all strains, and MALDI-TOF MS identification confirmed that all strains displayed M. tb features with a confidence score of 99.9%. Whole-genome sequencing analysis further revealed that the isolates were M. tb, belonging to Lineage 2 (Beijing family) and Lineage 4 (Euro-American lineage), with 100% homology in the 16S rRNA and hsp65 sequences compared with the reference genome H37Rv. MIC results showed that the isolates were susceptible to all tested first-line and second-line anti-tuberculosis drugs. Subculture stability observation showed that colony morphology, growth characteristics, and key phenotypic markers remained stable over successive passages.

Using a multidimensional verification strategy integrating traditional biochemical phenotyping, immunological markers, proteomics, and genomics, this study successfully isolated and characterized eight M. tb candidate strains with clear genetic backgrounds, well-defined phenotypic characteristics, and good in vitro subculture stability. These strains provide valuable resources for laboratory quality control and personnel training, and and serve as a reliable methodological foundation for future reference strain evaluation.

To investigate the molecular mechanism by which genistein inhibits prostate cancer progression through regulating heterogeneous nuclear ribonucleoprotein A2/B1 (HNRNPA2B1), and to identify its key downstream target genes.

Human prostate cancer PC-3 and 22RV1 cells were treated with different concentrations of genistein. Cell proliferation, apoptosis, migration, and invasion were assessed using CCK-8 assay, flow cytometry, wound healing assay, and Transwell assay, respectively. HNRNPA2B1 protein expression was detected by Western blot. An HNRNPA2B1 overexpression model was established for functional rescue experiments. Transcriptome sequencing combined with bioinformatics analysis was performed to identify downstream genes, followed by experimental validation.

Genistein inhibited proliferation, migration, and invasion, and promoted apoptosis of prostate cancer cells in a dose- and time-dependent manner (P＜0.05), while downregulating HNRNPA2B1 protein expression. Overexpression of HNRNPA2B1 partially reversed these effects. GATA3 was identified as a key downstream gene and was found to be negatively correlated with HNRNPA2B1 expression. Upregulation of GATA3 enhanced the anti-tumor effect of genistein.

Genistein suppresses prostate cancer progression by inhibiting HNRNPA2B1 expression and upregulating GATA3.

To investigate the status of health literacy regarding parasitic diseases among residents in Xiangcheng District, Suzhou, and to explore its influencing factors, in order to provide a theoretical basis for promoting health literacy related to parasitic diseases.

From June to September 2024, a multi-stage sampling method was adopted to select residents in Xiangcheng District, Suzhou as participants for household questionnaire surveys. Descriptive statistics, univariate χ² tests, and multivariate Logistic regression analysis were used to assess the current status of residents' health literacy regarding parasitic diseases, examine relationships among variables, and identify influencing factors.

The overall level of health literacy regarding parasitic diseases among residents in Xiangcheng District was 55.69%. Multivariate Logistic regression analysis showed that gender, educational level, and average monthly household income were associated with residents' health literacy regarding parasitic diseases. Females (odds ratio [OR]=1.63, P=0.026) had a higher level of health literacy than males; higher educational levels were associated with greater health literacy (junior high school: OR=2.54, P=0.023; senior high school/vocational high school/technical secondary school: OR=2.80, P=0.006; junior college/undergraduate and above: OR=7.32, P＜0.001).

The health literacy regarding parasitic diseases among residents in Xiangcheng District, Suzhou is relatively high. Gender, educational level, and average monthly household income are the main factors influencing residents' health literacy regarding parasitic diseases in this population.

Autism spectrum disorder (ASD) is primarily characterized by impairments in social communication and the presence of restricted, repetitive behavioral patterns. In recent years, there has been growing recognition of the significance of autobiographical memory (AM) in the development of children's self-awareness and social skills. This review comprehensively summarizes the atypical manifestations of AM observed in children with ASD, specifically highlighting their difficulty in retrieving detailed event information, limited capacity for emotional expression, and tendency to produce fragmented personal narratives. These memory deficits may hinder the establishment of a coherent self-concept and negatively affect social capabilities, including sharing personal experiences and understanding others' perspectives. At the cognitive level, these memory impairments have been linked to deficits in executive functions, language abilities, and emotional regulation. From a neurobiological perspective, dysfunction within the default mode network (DMN) may disrupt effective processing and integration of self-related information. Furthermore, this review discusses potential interventions, such as parent-guided elaborative reminiscing and narrative-based training programs tailored specifically for children with ASD, aimed at enhancing their autobiographical memory skills and subsequently improving self-awareness and social competence. Clarifying the connection between AM impairments and core ASD symptoms can guide more precise clinical and educational interventions, ultimately facilitating comprehensive cognitive, emotional, and social development in affected children.

Brain abscess is a localized suppurative infection within the cranial cavity. Although its incidence is low, it is a critical condition associated with high mortality and disability rates. The widespread application of CT, MRI, and molecular pathogen detection has revolutionized its diagnostic paradigm, Nevertheless,, clinical management still faces challenges such as shifting epidemiological characteristics and poor long-term functional outcomes. As a complex clinical syndrome, the treatment strategy for brain abscess should be tailored to pathogen characteristics, host immune status, and individual patient differences, adopting a comprehensive intervention approach that integrates multidisciplinary collaboration, minimally invasive neurosurgery, and targeted antimicrobial strategies. With continuous advances in imaging and molecular diagnostic technologies, along with the deepening adoption of individualized treatment concepts, the diagnosis and treatment of brain abscess are expected to further improve, thereby reducing mortality and improving long-term prognosis. This article aims to provide a systematic review of research progress on the epidemiology, diagnostic techniques, treatment strategies, and long-term prognostic management of brain abscess.