BACKGROUND:In recent years,numerous studies have shown that autophagy and mitophagy play an important role in the regulation of bone metabolism.Under non-physiological conditions,mitophagy breaks the balance of bone metabolism and triggers metabolism disorders,which affect osteoblasts,osteoclasts,osteocytes,chondrocytes,bone marrow mesenchymal stem cells,etc. OBJECTIVE:To summarize the mechanism of mitophagy in regulating bone metabolic diseases and its application in clinical treatment. METHODS:PubMed,Web of Science,CNKI,WanFang and VIP databases were searched by computer using the keywords of"mitophagy,bone metabolism,osteoblasts,osteoclasts,osteocytes,chondrocytes,bone marrow mesenchymal stem cells"in English and Chinese.The search time was from 2008 to 2023.According to the inclusion criteria,90 articles were finally included for review and analysis. RESULTS AND CONCLUSION:Mitophagy promotes the generation of osteoblasts through SIRT1,PINK1/Parkin,FOXO3 and PI3K signaling pathways,while inhibiting osteoclast function through PINK1/Parkin and SIRT1 signaling pathways.Mitophagy leads to bone loss by increasing calcium phosphate particles and tissue protein kinase K in bone tissue.Mitophagy improves the function of chondrocytes through PINK1/Parkin,PI3K/AKT/mTOR and AMPK signaling pathways.Modulation of mitophagy shows great potential in the treatment of bone diseases,but there are still some issues to be further explored,such as different stages of drug-activated mitophagy,and the regulatory mechanisms of different signaling pathways.

ObjectiveTo investigate the therapeutic effects of direct-acting antiviral agents (DAAs) combined regimens for hepatitis C virus (HCV) patients in Dehong Prefecture, Yunnan Province from 2022 to 2024, to analyze the characteristics of treatment failure patients, so as to provide a basis for discovering more effective treatment regimens in the future. MethodsData on HCV prevention and treatment in Dehong Prefecture was extracted from the China Disease Control and Prevention Information System. A total of 617 patients with HCV antiviral therapy were included, and the differences in variable characteristics among patients with different genotypes were analyzed using comparative statistical tests, including basic socio-demographic characteristics, biochemical testing indicators, and information on previous treatment and current treatment. In addition, the cure rate of HCV patients with diverse characteristics was compared, and the potential causes of treatment failure were explored simultaneously. ResultsThe cure rate of HCV was 96.8%, and statistically significant differences were observed in aspartate transaminase (AST) and alanine transaminase (ALT) levels, previous antiviral therapy history and initial treatment regimens among patients with different HCV genotypes (all P<0.05). Among the multi-type combination regimens, the cure rate of sofosbuvir (SOF)-containing regimens was 97.00%, that of velpatasvir (VEL)-containing regimens was 95.45%, and the cure rate of other treatment regimens, including the regimens with ribavirin (RIB) intervention, was 93.10%. Among the patients with treatment failure, 45.00% had genotype 3, 40.00% had abnormal abdominal ultrasound results, and all presented with elevated baseline AST test levels. ConclusionThe clinical treatment of HCV patients should consider the differences in genotype and biochemical test results. DAAs combined regimens for HCV have achieved a high cure rate in Dehong Prefecture and are applicable to HCV patients with diverse clinical characteristics, providing research evidence for wider application.

PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness

OBJECTIVE: To investigate the effects of acupuncture on the neurotransmitter levels and gut microbiota in a mouse model of Tourette syndrome (TS). METHODS: Thirty-six male C57/BL6 mice were randomly divided into 4 groups using a random number table method: 3,3'-iminodipropionitrile (IDPN) group, control group, acupuncture group, and tiapride group, with 9 mice in each group. In the IDPN group, acupuncture group, and tiapride group, mice received daily intraperitoneal injections of IDPN (300 mg/kg body weight) for 7 consecutive days to induce stereotyped behaviors. Subsequently, in the acupuncture intervention group, standardized acupuncture treatment was administered for 14 consecutive days to IDPN-induced TS model mice. The selected acupoints included Baihui (DU 20), Yintang (DU 29), Waiguan (SJ 5), and Zulinqi (GB 41). In the tiapride group, mice were administered tiapride (50 mg/kg body weight) via oral gavage daily for 14 consecutive days. The control group, IDPN group, and acupuncture group received the same volume of saline orally for 14 consecutive days. Stereotypic behaviors were quantified through behavioral assessments. Neurotransmitter levels, including dopamine (DA), glutamate (Glu), and aspartate (ASP) in striatal tissue were measured using enzyme-linked immunosorbent assay. Dopamine transporter (DAT) expression levels were additionally quantified through quantitative polymerase chain reaction (qPCR). Gut microbial composition was analyzed through 16S ribosomal RNA gene sequencing, while metabolic profiling was conducted using liquid chromatography-mass spectrometry (LC-MS). RESULTS: Acupuncture administration significantly attenuated stereotypic behaviors, concurrently reducing striatal levels of DA, Glu and ASP concentrations while upregulating DAT expression compared with untreated TS controls (P<0.05 or P<0.01). Comparative analysis identified significant differences in Muribaculaceae (P=0.001), Oscillospiraceae (P=0.049), Desulfovibrionaceae (P=0.001), and Marinifilaceae (P=0.014) following acupuncture intervention. Metabolomic profiling revealed alterations in 7 metabolites and 18 metabolic pathways when compared to the TS mice, which involved various amino acid metabolisms associated with DA, Glu, and ASP. CONCLUSIONS Acupuncture demonstrates significant modulatory effects on both central neurotransmitter systems and gut microbial ecology, thereby highlighting its dual therapeutic potential for TS management through gut-brain axis regulation.
Animals ; Tourette Syndrome/metabolism* ; Gastrointestinal Microbiome ; Neurotransmitter Agents/metabolism* ; Acupuncture Therapy ; Male ; Mice, Inbred C57BL ; Mice

Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.

ObjectiveTo explore the prevalence and influencing factors of multimorbidity among the HIV-infected individuals receiving anti-viral therapy (ART) in Dehong Prefecture of Yunnan Province, so as to provide a reference for the long-term follow-up management of HIV-infected patients and the comprehensive prevention and treatment of chronic diseases. MethodsA cross-sectional study was conducted to investigate the multimorbidity burden among the HIV-infected adults receiving ART in Dehong Prefecture from January to July 2021 and a self-designed questionnaire was used to analyze relevant disease indicators. Multivariate logistic regression analysis was used to investigate the influencing factors of multimorbidity among the HIV-infected individuals. ResultsA total of 3 946 HIV-infected individuals receiving ART were enrolled in this study, of which 63.7% aged ≤50 years, with a male to female ratio of 1.1∶1. Among the 3 946 cases, 825 of them had ≥2 comorbidities, with a co-prevalence rate of 20.9% (95%CI:19.6%‒22.2%), and the main comorbidities were dyslipidemia, diabetes, and hypertension. Multivariate logistic regression analysis showed that 40≤ aged <50 years (aOR=1.86, 95%CI: 1.45‒2.40, P<0.001), 50≤ aged ≤85 years (aOR=3.75, 95%CI: 2.93‒4.80, P<0.001), Dai nationality (aOR=1.21, 95%CI: 1.01‒1.47, P=0.043), BMI≥24.0 kg∙m^-2 (aOR=1.79, 95%CI: 1.49‒2.14, P<0.001), 10.0≤ with ART duration for <12.5 years (aOR=1.49, 95%CI: 1.05‒2.12, P=0.024), with ART duration for ≥12.5 years (aOR=1.50, 95%CI: 1.05‒2.15, P=0.026), use of second-line HIV therapy (aOR=1.43, 95%CI: 1.19‒1.70, P<0.001) and other therapy options (aOR=3.16, 95%CI: 2.17‒4.61, P<0.001) were positively correlated with multimorbidity. ConclusionThe prevalence of multimorbidity among the HIV-infected individuals receiving ART in Dehong Prefecture is high, which is associated with the advancing age and prolonged treatment time, particularly with a significant burden of dyslipidemia, diabetes, and hypertension. Comprehensive surveillance and targeted management of comorbidities, along with ART follow-up, need to be strengthened in the future.

Objective: To explore the influence of classroom space environment on students visual health under the teaching mode of electronic screen, so as to provide a scientific reference for establishing a classroom space environment that adapts to the development of teaching informatization. Methods: In January 2024, 48 college students aged 18-21 were recruited from Neijiang Normal University. And visual fatigue evaluation indexes were used to assess the effects of brightness, brightness contrast, visual distance, visual task duration and glare on visual fatigue among college students. The relationship between different indexes and visual fatigue was obtained through multiple linear regression analysis, and the influence weights of different indexes were determined by the objective weighting method of criteria importance through intercriteria correlation (CRITIC). Results: The results of multiple linear regression analysis showed that brightness, brightness contrast, visual distance, visual task duration and glare had significant effects on visual fatigue among college students ( R 2=0.91, 0.94, 0.99, 0.99, 0.98, P <0.05). When the screen brightness was 200- 400 cd/m 2 and the brightness contrast was 6∶1, the visual fatigue degree was the lowest. The visual distance of the third row fifth row area had a better visual comfort. The longer the visual task time, the higher the visual fatigue degree became. In terms of weight, screen glare caused by classroom lighting had a greatest impact on visual fatigue, accounting for 24.09%, followed by visual task duration (23.41%), visual distance(20.80%), brightness contrast (17.81%), and screen brightness (13.89%). Conclusion The change of classroom space environment caused by electronic screen teaching is closely related to students visual fatigue.

Objective:To understand the incidence of diabetes and influencing factors, the trend of FPG change and risk for mortality in HIV-infected individuals after antiretroviral therapy (ART) in Dehong Dai and Jingpo Autonomous Prefecture (Dehong).Methods:The HIV/AIDS treatment database was collected from China Information System for Disease Control and Prevention. This retrospective cohort study was conducted in HIV-infected individuals with access to ART in Dehong during 2004-2020.The Cox proportional hazard regression model was used to analyze the incidence density of diabetes, the influencing factors and risk for mortality in HIV-infected individuals with access to ART, mixed linear effects model was used to analyze the trend of FPG change and predict FPG in those with different glucose metabolic status at baseline survey. Statistical analysis was performed using software SAS 9.4.Results:A total of 8 763 HIV-infected individuals were included, in whom 8 432 (96.2%) had no diabetes, 331 had diabetes. The incidence density of diabetes was 2.31/1 000 person years. Multivariate Cox proportional hazard regression analysis revealed that 30- 59 years old, BMI ≥24.0 kg/m 2, Efavirenz (EFV) based initial treatment regimen and impaired fasting glucose (IFG) at baseline survey were significantly and positively associated with incidence of diabetes. Mixed effect model revealed that FPG was positively correlated with the duration of ART, age and baseline FPG. Suffering from diabetes was a risk factor for mortality in HIV-infected individuals both at baseline survey and during follow-up. Conclusions:The risk for diabetes increased in HIV-infected individuals who were 30-59 years old, baseline BMI ≥24.0 kg/m 2, received EFV based initial treatment, and IFG in HIV-infected individuals after antiretroviral therapy in Dehong, 2004-2020. It is important to pay close attention to their blood glucose, and patients with high blood glucose should receive treatment as early as possible.

Tooth extraction is a common and widely employed therapeutic procedure in oral and maxillofacial surgery.Minimally invasive tooth extraction can reduce both physical and psychological trauma to the patients,and is widely recommended as a first-line clinical treatment.But currently no guidelines or consensus has been available to provide a systematic introduction of minimally invasive tooth extraction to guide the clinical practices.To address this issue,this consensus,based on a comprehensive literature review and clinical experiences of experts,systematically summarizes the indications,target patients,and contraindications of minimally invasive tooth extraction,the overall workflow of this procedure(preoperative preparation,surgical steps,postoperative management,postoperative instructions,medications,and follow-up),and its common postoperative complications to provide a comprehensive guidance for clinical application of this technique.

Objective To explore the effect of occupational skills relearning programme on hemiplegic arm motor function and ac-tivities of daily living(ADL)in stroke patients. Methods From February,2022 to August,2023,74 stroke patients in Guangdong Work Injury Rehabilitation Hospital were enrolled and randomly divided into control group(n=37)and experimental group(n=37).The control group received conventional rehabilitation training,and the experimental group received additional occupational skills relearning programme,for three weeks.They were assessed with Fugl-Meyer Assessment-Upper Extremi-ties(FMA-UE),Functional Test for the Hemiplegic Upper Extremity-Hong Kong(FTHUE-HK),Motor Activity Log(MAL)-amount of use(AOU)and MAL-quality of movement(QOM),modified Barthel Index(MBI),and Stroke Impact Scale(SIS)-Hand and SIS-ADL before and after treatment. Results The scores in all assessments improved significantly in both groups(|t|>3.597,P<0.05)after treatment,while the scores of FMA-UE,FTHUE-HK,MAL-AOU,MAL-QOM were higher in the experimental group than in the control group(|t|>2.352,P<0.05). Conclusion Occupational skills relearning programme could promote the recovery of hemiplegic arm motor and activity,and facilitate the use of the hemiplegic arm in daily life in stroke patients.