Objective To explore the predictive effect of serum 25-hydroxyvitamin D3 [25(OH)D3] and blood lipid metabolism indexes on the occurrence of osteoporosis in type 2 diabetes mellitus (T2DM). Methods Totally 98 patients with T2DM in the hospital from January 2022 to January 2024 were classified into osteoporosis group (38 cases) and non-osteoporosis group (60 cases) by means of concurrent osteoporosis status. The levels of serum 25(OH)D3 and blood lipid metabolism indexes [high density lipoprotein (HDL), total cholesterol (TC), triglyceride (TG), low density lipoprotein (LDL), VLDL] were measured in study subjects. The association of serum 25(OH)D3 and blood lipid metabolism indexes with osteoporosis was explored by Logistic regression analysis. The predictive value of serum 25(OH)D3 and blood lipid metabolism indexes on osteoporosis was analyzed by receiver operating characteristic curve (ROC). Results Serum 25(OH)D3 and HDL levels in the osteoporosis group were lower while TG and LDL levels were higher than those in the non-osteoporosis group (P<0.05). The differences in the levels of TC and VLDL were insignificant between groups (P>0.05). After logistic regression analysis, the levels of serum 25(OH)D3, HDL, TG and LDL were closely related to the occurrence of osteoporosis (P<0.05). ROC curve indicated that the area under the curve (AUC), sensitivity and specificity of combined prediction of osteoporosis by serum 25(OH)D3, HDL, TG, and LDL were 0.943, 92.11% and 85.00%, and the efficiency of combined prediction was better than that of each index alone (P<0.05). Conclusion The levels of serum 25(OH)D3, HDL, TG and LDL in T2DM are closely related to osteoporosis. Early combined monitoring of the indicators can provide reference value for clinical prediction of osteoporosis occurrence in patients with T2DM.

Plant-derived exosome-like nanovesicles (PELNs), characterized by a natural lipid bilayer membrane, have rapidly emerged as a prominent research frontier in medicine owing to their unique biological properties and robust therapeutic potential. This review comprehensively examines the biological profiles, mechanistic functions, and recent engineering advancements of PELNs. In terms of composition, PELNs are uniquely enriched in plant-specific glycolipids, phosphatidylserine, secondary metabolites, and highly stable 2'-O-methylated miRNAs. This distinct molecular makeup endows them with exceptional biocompatibility, negligible immunogenicity, and the capacity for cross-species molecular communication. Mechanistically, PELNs demonstrate profound anti-inflammatory efficacy by suppressing the NF-κB and NLRP3 inflammasome pathways. They also serve as potent immune modulators, driving macrophage M1/M2 polarization and regulating T cell activity. Additionally, PELNs exhibit promising antitumor capabilities, targeting malignancies via reactive oxygen species (ROS) induction, TRAIL pathway activation, and tumor microenvironment remodeling. Crucially, the plant miRNAs encapsulated within PELNs remain highly stable in the gastrointestinal tract, allowing them to selectively alter gene expression in specific gut microbiota communities. This interaction deeply influences host immunity and metabolism, highlighting the vital role in cross-species regulation. Advancements in bioengineering have further expanded the clinical utility of PELNs. Targeted delivery efficiency can be significantly amplified via surface functionalization (e.g., folate and RGD sequences) and state-of-the-art drug loading technologies such as sonication and electroporation. Consequently, engineered PELNs surpass traditional synthetic nanocarriers in penetrating natural physiological barriers, particularly for oral and transdermal drug administration. Despite these advantages, clinical translation is currently hindered by the lack of standardized isolation protocols, challenges in scalable manufacturing, and the need for robust quality control frameworks. Looking forward, the integration of multi-omics approaches and AI-driven “molecular fingerprinting”—coupled with the design of synthetic biomimetic vesicles—will be instrumental in overcoming these bottlenecks, ultimately establishing PELNs as a next-generation platform for precision medicine and targeted nanotherapeutic delivery.

Purpose: Coronavirus disease 2019 (COVID-19) infection may affect serum hormones levels and male sexual function. This study aims to provide evidence for the causal relationship between COVID-19 infection, serum testosterone levels and the risk of erectile dysfunction (ED) using a two-sample Mendelian randomization (MR) approach. Materials and Methods: Summary-level data for serum testosterone levels (199,569 samples and 12,321,875 single nucleotide polymorphisms [SNPs]) were obtained from Rebecca’s study, while data for ED (6,175 cases and 217,630 controls) were sourced from Bovijn’s study. Genetic variations linked to COVID-19 were used as instrumental variables (IVs) in meta-analyses of genome-wide association studies (GWASs) involving 6,406 cases and 902,088 controls from the COVID-19 Host Genetics Initiative.The inverse-variance weighted (IVW) method was primarily employed to evaluate the potential associations between COVID-19 infection, serum testosterone levels, and the risk of ED. The weighted mode, weighted-median and simple-median method were employed to evaluate the sensitivity. Heterogeneity and pleiotropic outlier were assessed using Cochran’s Q test and MREgger regression. Results: The MR analysis demonstrated that COVID-19 infection was associated with reduced serum testosterone levels (odds ratio [OR] 0.966, 95% confidence interval [CI] 0.938–0.993, p=0.016) and an increased risk of ED (OR 1.205, 95% CI 1.063–1.367, p=0.004) when using IVW methods. Sensitivity analyses utilizing various IV sets and MR approach remained consistent. Conclusions COVID-19 infection is associated with a decrease in serum testosterone levels and an increased risk of ED. Male patients recovering from COVID-19 need to pay special attention to their sex hormone levels and sexual health.

Objective:To analyze the therapeutic effect of ganglioside combined with hyperbaric oxygen in the treatment of cerebral hemorrhage. To investigate the effects of ganglioside combined with hyperbaric oxygen therapy on serum inflammatory factors and neural injury markers in patients.Methods:A randomized controlled study was conducted involving 98 patients with cerebral hemorrhage treated at Bayannur Hospital from January 2022 to January 2024. The patients were randomly assigned to either a control group or a combination group, with 49 cases in each group, using a random number table method. All patients received routine treatment. The control group received hyperbaric oxygen therapy, while the combination group received both hyperbaric oxygen therapy and ganglioside therapy. Both groups were treated for 20 days. The volume of cerebral edema, levels of serum inflammatory factors, and neural injury markers were compared between the two groups before and after treatment, and the efficacy of both groups was evaluated.Results:After treatment, the brain edema volume in the combination group [(12.31 ± 1.31) cm3]was significantly lower than that in the control group [(15.36 ± 1.62) cm3, t = 10.25, P < 0.05]. The Glasgow Coma Scale score in the combination group [(13.64 ± 1.37) points] was significantly higher than that in the control group [(11.42 ± 1.24) points, t = -8.41, P < 0.05]. The serum levels of interleukin-1β and interleukin-8 in the combination group were (5.48 ± 0.56) ng/L and (12.29 ± 1.33) ng/L, respectively, both of which were significantly lower than those in the control group [(6.42 ± 0.67) ng/L, (16.85 ± 1.71) ng/L, t = 7.54, 14.74, both P < 0.05]. The levels of soluble protein-100β (S100β) and high mobility group protein-1 in the combination group were (0.62 ± 0.07) μg/L and (4.17 ± 0.42) μg/L, respectively, both of which were significantly lower than those in the control group [(0.81 ± 0.09) μg/L, (5.59 ± 0.56) μg/L, t = 11.67, 14.20, both P < 0.05]. The National Institutes of Health Stroke Scale score in the combination group [(11.47 ± 1.23) points]was significantly lower than that in the control group [(15.31 ± 1.62) points, t = 13.22, P < 0.05]. The Fugl-Meyer Assessment of Motor Recovery after Stroke score in the combination group [(63.58 ± 6.48) points] was significantly higher than that in the control group [(54.64 ± 5.71) points, t = -7.25, P < 0.05]. The total response rate in the combination group was 91.84% (45/49), which was significantly higher than that in the control group [73.47% (36/49), χ2 = 5.76, P < 0.05]. Conclusions:The use of gangliosides in combination with hyperbaric oxygen therapy for the treatment of cerebral hemorrhage can effectively reduce cerebral edema, lessen inflammatory responses, and minimize neural injury. This approach helps restore patients' neurological and motor functions and enhance overall treatment efficacy.

Malignant peritoneal mesothelioma (MPM), as a highly aggressive primary malignant tumor of the peritoneum, often leads to structural damage and functional impairment of female reproductive organs during its treatment course. This study presents a clinical case of an MPM patient who underwent cytoreductive surgery (CRS) combined with hyperthermic intraperitoneal chemotherapy (HIPEC), subsequently achieving successful live birth through in vitro fertilization and embryo transfer. A comprehensive review of relevant literature was conducted to analyze both the potential benefits and associated risks. While the possibility of successful pregnancy exists for MPM patients following combined CRS and HIPEC treatment, significant clinical risks during the gestational process cannot be overlooked. Current evidence remains limited, necessitating more robust clinical data to substantiate these findings.

Objective:To explore the potential categories and influencing factors of medication compliance in patients with cardiometabolic multimorbidity, and provide a reference for formulating targeted intervention measures.Methods:A cross-sectional study design was adopted. From March to October 2024, the patients with cardiometabolic multimorbidity in the First Hospital Affiliated with Hunan Normal University (Hunan Provincial People′s Hospital) were selected by convenience sampling method as research objects. Data were collected using a general information questionnaire, Medication Adherence Rating Scale (MARS), Perceived Social Support Scale (PSSS), and Medication Literacy Questionnaire. The latent class analysis was used to explore the characteristics and classifications of medication compliance in cardiometabolic multimorbidity, and unordered multivariate Logistic regression was used to analyze the influencing factors of different latent classes.Results:A total of 421 subjects were included, consisting of 291 males and 130 females, aged (64.28±9.74) years old. The overall medication adherence score was 6.00 (5.00, 8.00) points, which could be divided into four categories: overall good adherence group (24.47%, 103/421), subjective perception-poor adherence group (15.91%, 67/421), forgetfulness-poor adherence group (37.53%, 158/421), and overall poor adherence group (22.09%, 93/421). The results showed that when taking the overall good adherence group as a reference, the inability to obtain pharmaceutical information from social media, medication literacy scores, social support scores were the influencing factors for the subjective perception-poor adherence group ( OR=4.210, 0.516, 0.733, all P<0.05). Occupational characteristics (employees in public institutions or government-affiliated institutions), age, social support scores were the influencing factors for the forgetfulness-poor adherence group( OR=0.173, 1.155, 0.781, all P<0.05). Occupational characteristics (employees in public institutions or government-affiliated institutions), failure to receive medication guidance from medical staff, medication literacy scores and social support scores were the influencing factors for the overall poor adherence group( OR values were 0.136-5.275, all P<0.05). When taking the overall poor adherence group as a reference, failure to receive medication guidance from medical staff and medication literacy scores were the influencing factors for the subjective perception-poor adherence group ( OR=0.310, 1.752, both P<0.05). Failure to receive medication guidance from medical staff, age, medication literacy scores and social support scores were the influencing factors for the forgetfulness-poor adherence group ( OR values were 0.315-2.554, all P<0.05). Conclusions:There is significant heterogeneity in medication adherence among patients with cardiometabolic multimorbidity. Healthcare professionals should consider individual characteristics in clinical practice and provide targeted, precise interventions to improve adherence in different patient categories.

Objective:To analyze the prospective associations between liver biomarkers and mortality among Chinese middle-aged and elderly populations and to evaluate the mortality risk predictive value.Methods:A total of 22 758 participants from the 3 rd resurvey of the China Kadoorie Biobank were included. Cox proportional hazard models were used to analyze the prospective associations of 5 liver biomarkers with mortality. These liver biomarkers included two liver imaging biomarkers (liver fat attenuation parameter, liver stiffness measurement) and three serum liver enzyme biomarkers [gamma-glutamyl transferase (GGT), ALT, and AST]. Restricted cubic spline was used to assess the nonlinear associations between biomarkers and mortality. The area used the receiver operating characteristic curve (AUC) to evaluate the predictive ability of the models after incorporating liver biomarkers into traditional prediction models for mortality. Results:The mean age of the participants was (65.2±9.1) years, with a median follow-up of 1.5 years, during which 307 deaths occurred. Compared to individuals without hepatic steatosis, those with severe hepatic steatosis had a 79% higher risk of mortality, with a HR of 1.79 (95% CI: 1.06-3.03). Compared to individuals without hepatic fibrosis, those with advanced fibrosis and cirrhosis had higher mortality risks of 48% and 91%, respectively (both P<0.05). For each standard deviation increase in GGT, the mortality risk increased by 10% ( HR=1.10, 95% CI: 1.05-1.15), with the positive association plateauing at higher GGT levels. AST exhibited a U-shaped association with mortality risk. The AUC of the prediction model adding liver biomarkers into traditional prediction factors was 0.718 (95% CI: 0.679-0.757), with an increase of 0.030 ( P<0.001) compared with the traditional model. Conclusions:Severe hepatic steatosis, higher levels of hepatic fibrosis, and elevated GGT levels are significantly associated with higher mortality risk. AST shows a U-shaped nonlinear association with mortality risk. Incorporating liver biomarkers into traditional risk prediction models enhance the ability to predict mortality.

Objective:To investigate the prospective associations between plasma metabolites and the risks of all-cause and cause-specific mortality among Chinese adults.Methods:This study analyzed plasma metabolomics data from 2 183 healthy adults in the China Kadoorie Biobank (CKB), measured using targeted mass spectrometry. Cox proportional hazards regression models were used to examine the associations between 630 metabolites and the risk of all-cause mortality. Cause-specific hazard regression models evaluated the associations between metabolites and cardiovascular disease (CVD) risks, cancer, and other-cause mortality. Stepwise regression was used to identify key metabolites independently associated with all-cause mortality, and the area under the receiver operating characteristic curve (AUC) was calculated to assess the improvement in predictive performance when these metabolites were added to traditional risk prediction models.Results:The mean age of the participants was (53.2±9.8) years, 65.1% of whom were female. During a median follow-up of 14.5 years, 231 deaths occurred. A total of 44 metabolites were significantly associated with the risk of all-cause mortality [false discovery rate (FDR)-adjusted P<0.05], primarily including triglycerides, ceramides, and amino acids. Additionally, 29 and 15 metabolites were found to be associated with cancer and other-cause mortality, respectively, but no metabolites were significantly associated with CVD mortality after FDR corrections. Adding 14 metabolites independently associated with all-cause mortality into the traditional prediction model significantly improved its predictive performance. Specifically, incorporating metabolites into the traditional model, which already included laboratory biomarkers, increased the AUC to 0.798 (95% CI: 0.755-0.843), an improvement of 0.088 compared to the traditional model ( P<0.001). Conclusions:Multiple metabolites are significantly associated with mortality risk and can substantially improve the accuracy of mortality risk prediction models. These findings provide new insights into the physiological mechanisms of aging and offer valuable clues for personalized health risk assessment.

OBJECTIVE: To study the results, re-donation situation and characteristics of single-reagent reactive blood donors who were put into the reentry strategy in Wuhan area, explore the rationality and effectiveness of the current reentry strategy, and provide data support for the improvement of the reentry process of blood donors. METHODS: From January 2020 to December 2023, blood donors who conform the reentry criteria and voluntarily applied for returning to Wuhan Blood Center were tested and the results were analyzed. According to the reentry strategy, serological testing and nucleic acid testing were carried out in parallel, serological testing was performed by ELISA with reagents from two different manufacturers, and the primary reactive samples were tested by double-well retest, and HBV/HCV/HIV nucleic acid detection was performed by RT-PCR with an individual donor test mode. Supplementary HBcAb testing was applied for HBV single reagent reactivity by chemiluminescence method. Supplementary TP-WB testing was applied for returning blood donors with repeated TP single reagent reactivity. If returning blood donors with HIV single reagent reactivity were repeated single reagent reactivity, the samples were sent to local CDC for confirmatory test. RESULTS: 7 098 blood donors were qualified for reentry, 716 donors voluntarily applied for reentry, 436 donors successfully reentry, 251 donors entered the next round, 29 donors could not reentry. The reentry rates for the past four years were 66.67%（42/63）, 54.73%（81/148）, 60.71%（136/224） and 62.99%（177/281）, respectively. Up to December 31, 2023, 275 donors donated blood again, and the donation rates for past four years were 76.19%（32/42）, 72.84%（59/81）, 61.76%（84/136） and 56.50%（100/177）, respectively. After donating blood, 31 donors were disqualified again by blood screening and subjected to permanent deferral. The results of returning to the team had statistical differences in reentry items, educational level, age, and marriage（P < 0.05）. CONCLUSION The current reentry strategy adopted by the blood donation and supply institution can effectively retain part of blood donors, reduce the negative emotions of blood donors and increase blood resources.
Humans ; Blood Donors ; China ; Hepatitis B ; Enzyme-Linked Immunosorbent Assay ; Hepatitis C ; Male

OBJECTIVE: To explore the improvement effect of rehabilitation nursing based on information-knowledge-belief-behavior (IKAP) theory on urinary incontinence patients after radical prostatectomy. METHODS Sixty-six patients with urinary incontinence who received robot-assisted laparoscopic radical prostatectomy in General Hospital of Eastern Theater Command from January 2021 to January 2023 were selected and divided into control group (n=33) and observation group (n=33) according to random number table method. The patients in the control group were treated with rehabilitation nursing. The patients in the observation group were treated with rehabilitation nursing guided by IKAP theory. The recovery of urinary incontinence, duration of urinary incontinence, subjective well-being, quality of life, psychological and emotional indexes of patients in the two groups were compared. Results： The total effective rate of urinary incontinence recovery in the observation group was significantly higher than that in the control group (90.91% vs 60.61%，P<0.05). The duration of urinary incontinence in the observation group was significantly shorter than that in the control group (［3.36±1.54］d vs ［4.15±1.36］d，P<0.05). And the subjective well-being score in observation group was significantly higher than that in the control group (［19.36±2.69］points vs ［11.65±2.65］points， P<0.05). There was no significant difference in preoperative physical function, social function，and mental health scores between the two groups (P>0.05). And all scores in the observation group were significantly higher than those in the control group after surgery (P<0.05). There was no significant difference in the preoperative SAS and SDS scores between the two groups of patients (P>0.05). And the scores of SAS and SDS in observation group were lower than those of the control group after the operation (P<0.05). Conclusion： Rehabilitation nursing based on IKAP theory can significantly improve urinary incontinence in patients with prostate cancer after surgery, which promotes the recovery of urinary incontinence, shortens the time of urinary incontinence, and improves the subjective well-being and quality of life, as well as reduces the negative impact of negative emotions. Therefore, it can be widely promoted and implemented in clinical practice.
Humans ; Prostatectomy/adverse effects* ; Urinary Incontinence/etiology* ; Male ; Quality of Life ; Rehabilitation Nursing ; Middle Aged ; Aged