Objective: To explore the types of cognitive function and influencing factors among the rural elderly, so as to provide evidence for the prevention and control of cognitive impairment among the rural elderly. Methods: From July to August 2025, a multi-stage stratified cluster random sampling method was used to recruit the elderly aged ≥60 years from eight administrative villages in the Xinjiang Uygur Autonomous Region. Data on basic information, physical health status and mental health status were collected through questionnaire surveys. Cognitive function was assessed using the Chinese version of the Mini-Mental State Examination. Latent profile analysis was used to identify the types of cognitive function among the rural elderly, and a multinomial logistic regression model was used to analyze influencing factors of cognitive function among the rural elderly. Results: A total of 549 participants were surveyed, including 301 males (54.83%) and 248 females (45.17%). The median age was 67.00 (interquartile range, 9.00) years. Latent profile analysis classified cognitive function into three types: the normal cognitive function group, the attention and calculation impairment group, and the multi-domain cognitive impairment group, accounting for 33.33%, 41.35% and 25.32%, respectively. Multinomial logistic regression analysis showed that, with the normal cognitive function group as the reference, males, education level of primary school and above were statistically associated with a lower risk of attention and calculation impairment (both P<0.05); age 71 to <81 years, hearing decline, obesity, poor sleep quality and social frailty were statistically associated with a higher risk of attention and calculation impairment (all P<0.05). Education level of primary school and above and good self-rated health status were statistically associated with a lower risk of multi-domain cognitive impairment (all P<0.05), while age ≥71 years, hearing decline, underweight or obesity, poor sleep quality and depressive symptoms were statistically associated with a higher risk of multi-domain cognitive impairment (all P<0.05). Conclusion Cognitive function among the rural elderly can be classified into three types: normal cognitive function, attention and calculation impairment, and multi-domain cognitive impairment, and was associated with demographic characteristics, physical health status and mental health status.

Objective: To establish a progressive research strategy for “colonic components analysis - efficacy verification and mechanism exploration - gut microbiota”, screen pharmacodynamic substances, and investigate their mechanism via gut microbiota. Methods: The pharmacodynamics of Gegen Qinlian decoction (GQD) were assessed using a mouse model of dextran sulfate sodium-induced ulcerative colitis (UC). Ultra-performance liquid chromatography-quadrupole-orbitrap mass spectrometer was used to identify the prototype and metabolic components of GQD in the colon during UC. To analyze the structure and function of characteristic genera of GQD and its active components, 16S rRNA sequencing was performed. Results: We identified 67 prototypic and 14 metabolic components of GQD in the UC colon. The primary prototype components are flavonoids and alkaloids, including puerarin (PUE), baicalin (BAI), and berberine (BER). The metabolism was predominantly sulfonation. Efficacy verification showed that the main active components, puerarin, baicalin, and berberine, had good therapeutic effects on UC. The results of 16S rRNA gene sequencing showed that GQD improved UC by regulating the structure and function of the gut microbiota. The abundance of gut microbiota involved in the metabolism of the prototype components was influenced by the corresponding components. The function prediction results showed that PUE was the most comparable to GQD, with 24 consistent pathways. BAI and BER showed comparable gut microbiota regulation pathways. Characteristic pathways of BER include glucometabolic processes. Conclusion This study focused on the key issues in the gut microbiota pathway and developed a progressive research strategy to understand the transformation mechanisms of colonic components. This research systematically analyzed the active components and metabolic transformation of GQD in the colon during the pathological state of UC, as well as changes in the structure and function of the gut microbiota, clarified the mechanism of GQD and its active components in improving UC via the gut microbiota pathway.

Objective:A bidirectional Mendelian randomization approach was applied to dissect the causal association between dairy product consumption and osteoarthritis (OA), so to offering novel insights for the prevention, treatment, and prognosis assessment of knee osteoarthritis (KOA).Methods:A two-sample Mendelian randomization (MR) analysis was conducted using public available genome-wide association studies. The primary analysis was performed using the inverse variance weighted (IVW) method. To assess the stability and reliability of the results, we compared IVW and MR-Egger regression using Cochran′s Q test to evaluate SNP heterogeneity. MR-Egger regression was employed to assess pleiotropy, while a leave-one-out approach was used for sensitivity analysis. Results:Based on 207 instrumental variables (IVs), two-sample MR analysis revealed that for each standard deviation increase in genetically predicted cheese intake, the risk of OA was significantly negatively associated [ OR(95% CI)=0.98(0.98, 0.99), P<0.001], so did the risk of KOA [ OR(95% CI)=0.73(0.63, 0.85), P<0.001]. However, no significant association was found between OA risk and the intake of full-fat milk (30 IVs), semi-skimmed milk (15 IVs), skimmed milk (32 IVs), soy milk (25 IVs), or other types of milk (13 IVs), yogurt (11 IVs), or butter (3 IVs). Conclusion:The two-sample MR analysis revealed causally inverse associations between cheese intake and OA as well as KOA.

Objective:A bidirectional Mendelian randomization approach was applied to dissect the causal association between dairy product consumption and osteoarthritis (OA), so to offering novel insights for the prevention, treatment, and prognosis assessment of knee osteoarthritis (KOA).Methods:A two-sample Mendelian randomization (MR) analysis was conducted using public available genome-wide association studies. The primary analysis was performed using the inverse variance weighted (IVW) method. To assess the stability and reliability of the results, we compared IVW and MR-Egger regression using Cochran′s Q test to evaluate SNP heterogeneity. MR-Egger regression was employed to assess pleiotropy, while a leave-one-out approach was used for sensitivity analysis. Results:Based on 207 instrumental variables (IVs), two-sample MR analysis revealed that for each standard deviation increase in genetically predicted cheese intake, the risk of OA was significantly negatively associated [ OR(95% CI)=0.98(0.98, 0.99), P<0.001], so did the risk of KOA [ OR(95% CI)=0.73(0.63, 0.85), P<0.001]. However, no significant association was found between OA risk and the intake of full-fat milk (30 IVs), semi-skimmed milk (15 IVs), skimmed milk (32 IVs), soy milk (25 IVs), or other types of milk (13 IVs), yogurt (11 IVs), or butter (3 IVs). Conclusion:The two-sample MR analysis revealed causally inverse associations between cheese intake and OA as well as KOA.

Abstract Health literate schools (HeLit-Schools) play a significant role in fostering students health literacy. The paper elucidates the background and conceptual connotations of HeLit-Schools, and analyzes how HeLit-Schools effectively integrate and enhance the health literacy of schools in three aspects: philosophy and core drivers, strategy and method implementation, as well as evaluation mechanisms and standard setting. Furthermore, the paper explores the implications of foreign HeLit-Schools research and practice for China under the context of "Healthy China" construction, as well as the key strategies for Chinese schools in the implementation of HeLit-Schools, aiming to provide a new perspective and theoretical support for Chinese schools to practice the "Healthy China initiative" and strengthen school construction from the perspective of health literacy.

OBJECTIVE: To investigate the short- and mid-term effectiveness of unicompartmental knee arthroplasty (UKA) for post-traumatic arthritis (PTA) of knee. METHODS: The clinical data of 30 patients with PTA of unilateral knee between March 2014 and September 2021 was retrospectively analyzed. There were 14 males and 16 females with an average of 64.5 years (range, 33-81 years). The average body mass index was 26.7 kg/m ² (range, 19.8-35.6 kg/m ²). The types of injuries that caused PTA included intra-articular fracture in 16 cases, extra-articular fracture in 8 cases, and soft tissue injury in 6 cases. The initial injuries were treated by conservative therapy in 12 cases and by surgical therapy in 18 cases. Ten cases were medial compartment osteoarthritis and 20 cases were lateral compartment osteoarthritis. According to Kellgren-Lawrence staging, there were 19 cases of grade Ⅲ and 11 cases of grade Ⅳ. The operative time, the length of hospital stay, complications, and subjective satisfaction were recorded. The Oxford Knee Function Score (OKS), Hospital for Special Surgery (HSS) score, and knee range of motion (ROM) were used to evaluate knee function. Weight-bearing X-ray films were taken to measure the femoro-tibial angle (FTA) and to assess alignment correction of the lower limb. RESULTS: The operative time ranged from 50 to 95 minutes (mean, 63.7 minutes), the length of hospital stay ranged from 3 to 8 days (mean, 6.9 days). Superficial infection occurred in 2 patients, while the remaining incisions healed by first intention. There was no deep vein thrombosis or neurovascular injury. All patients were followed up 17-109 months (median, 70 months). At last follow-up, OKS score, HSS score, and ROM in 30 cases significantly improved when compared with those before operation (P<0.05). Lower limb alignment was significantly corrected and there was significant difference in FTA of the varus and valgus knees between pre- and post-operation ( P<0.05). The patient satisfaction rate was 86.7% (26/30). Two cases developed contralateral osteoarthritis progression during follow-up. No bearing dislocation, prosthesis loosening or sinking occurred and none required further revision. CONCLUSION For patients with PTA of knee, UKA can obtain definite short- and mid-term effectiveness with high patient satisfaction.
Male ; Female ; Humans ; Arthroplasty, Replacement, Knee ; Retrospective Studies ; Knee Prosthesis ; Osteoarthritis, Knee/surgery* ; Treatment Outcome ; Knee Joint/surgery* ; Lower Extremity/surgery* ; Range of Motion, Articular

Metastatic triple-negative breast cancer (TNBC) is the most aggressive type of breast cancer. Combination of systemic chemotherapy and immune checkpoint blockade is effective but of limited benefit due to insufficient intratumoral infiltration of cytotoxic T lymphocytes (CTLs) and the accumulation of immunosuppressive cells. Herein, we designed a lenvatinib- and vadimezan-loaded synthetic high-density lipoprotein (LV-sHDL) for combinational immunochemotherapy of metastatic TNBC. The LV-sHDL targeted scavenger receptor class B type 1-overexpressing 4T1 cells in the tumor after intravenous injection. The multitargeted tyrosine kinase inhibitor (TKI) lenvatinib induced immunogenic cell death of the cancer cells, and the stimulator of interferon genes (STING) agonist vadimezan triggered local inflammation to facilitate dendritic cell maturation and antitumor macrophage differentiation, which synergistically improved the intratumoral infiltration of total and active CTLs by 33- and 13-fold, respectively. LV-sHDL inhibited the growth of orthotopic 4T1 tumors, reduced pulmonary metastasis, and prolonged the survival of animals. The efficacy could be further improved when LV-sHDL was used in combination with antibody against programmed cell death ligand 1. This study highlights the combination use of multitargeted TKI and STING agonist a promising treatment for metastatic TNBC.

Objective To establish the three-dimensional (3D) finite element model of unicompartmental knee arthroplasty (UKA) with 3° and 7° posterior tibial slope at different knee flexion angles, and to study biomechanical properties and prosthetic wear of the knee joints with two types of posterior tibia slope and their effects on knee function. Methods Combining CT and MRI images of human knee joints with the 3rd-generation Oxford prosthesis, the finite element UKA model with 3° and 7° posterior tibia slope were established. The 1 kN load was applied to center point of the medial and lateral condyles of the femur to simulate the standing load of human body. The maximum stresses and distributions of the prosthesis and articular cartilage at different knee flexion angles were analyzed. ResultsThe maximum stress of the meniscus liner with 3° posterior tibia slope at 0°, 30°, 60°, 90°, 120° knee flexion angles increased by 28.06%, 68.99%, 19.45%, 21.06% and 53.38%, the distribution area was concentrated from the side of the meniscus liner to the central area, and the stress concentration was obvious at 120° knee flexion. The maximum stress of prosthesis with 3° posterior tibia slope was greater than that with 7 ° posterior tibia slope. The expansion of stress concentration area would cause wear and loosening of the prosthesis, contact stress and concentration area of the articular cartilage would subsequently increase with posterior tibia slope increasing, and stress concentration would be more obvious at high knee flexion angles. Conclusions Tibial prosthesis has the higher stress and greater wear under the condition of 3° posterior tibia slope than 7° posterior tibia slope. The research findings provide theoretical basis for the UKA design in clinic.

Background Organic ultraviolet (UV) filters are widely used in personal care products. So far, relevant studies on organic UV filters in indoor dust have been reported. Objective This study aims to establish a thermal desorption combined with gas chromatography-mass spectrometry (TD-GCMS) method to identify organic UV filters in indoor air collected from different indoor environments, so as to reveal the pollution levels and characteristics of organic UV filters in indoor environment. Methods Based on the standard indoor air sampling protocol, a total of 60 samples were collected from eight different kinds of indoor environments (male and female dormitory rooms, offices, labs, barber shops, printing shops, hotels, and private cars) on and nearby Minhang Campus of Shanghai Jiao Tong University from August to November, 2020. The concentrations of six common organic UV filters, including homosalate (HMS), 2-ethylhexyl salicylate (EHS), 3-(4-methylbenzylidene)-camphor (4-MBC), isoamyl 4-methoxycinnamate (IMC), octocrylene (OC), and octyl 4-methoxycinnamate (EHMC), in the air of different indoor environments were detected by TD-GCMS. Furthermore, the correlations of individual organic UV filters in different indoor environments were analysed. Results Under optimized detection conditions, the correlation coefficients of the quantitative standard curves of selected six organic UV filters were all at or above 0.997. The relative standard deviations of 1 mg·L⁻³ samples ranged from 1.74% to 7.11%, and the recoveries ranged from 67.17% to 106.5%. The relative standard deviations of 10 mg·L⁻³ samples ranged from 3.59% to 8.76%, and the recoveries ranged from 78.80% to 126.60%. The detection rates of the other five organic UV filters except IMC were all at or more than 92% in eight different kinds of indoor air. The median concentration of total organic UV filters was 75.17 ng·m⁻³, and EHS presented the highest median concentration of 28.55 ng·m⁻³. Regarding different indoor environments, the highest concentration of total organic UV filters was found in the female dormitory samples, 154.98 ng·m⁻³. The respective pair-analysis among HMS, EHMC, OC, and EHS of all indoor air samples reached a significant level of correlation (r=0.40-0.61, P<0.01). Conclusion The TD-GCMS method is satisfactory for the determination of organic UV filters in indoor air. EHS, EHMC, HMS, OC, and 4-MBC are identified in selected eight indoor environments, and they may have similar sources of pollution.

Department of Orthopedics, Yang Pu Hospital Affiliated to Tongji University,