For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

BACKGROUND: Research has indicated that the disease burden of alopecia areata (AA) in China exceeds the global average. Therefore, accurate and updated epidemiological information is crucial for policymakers. In this study, we aimed to comprehensively assess the disease burden of AA in China. METHODS: The following four key indicators were utilized: the prevalence of cases; disability-adjusted life-years (DALYs); the age-standardized prevalence rate (ASPR); and the age-standardized DALY rate (ASDR) of AA according to the Global Burden of Disease (GBD) study 2021. We analyzed the epidemiological burden of AA in China during 2021, examined changes between 1990 and 2021, and performed a Bayesian age-period-cohort analysis to predict trends over the course of the next decade (2022-2030). Additionally, a Gaussian process regression model was applied to estimate the relationship between the gross domestic product (GDP) and the ASPR and ASDR of AA at the provincial level between 1992 and 2021. RESULTS: In 2021, the estimated number of patients with AA in China was approximately 3.49 million (95% uncertainty interval [UI], 3.37-3.62 million); of these patients, 1.20 million (95% UI, 1.16-1.25 million) were male and 2.29 million (95% UI, 2.20-2.37 million) were female. This large number of patients with AA resulted in a total of 114,431.25 DALYs (95% UI, 74,780.27-160,318.96 DALYs). Additionally, the ASPR and ASDR were 224.61 per 100,000 population (95% UI, 216.73-232.65 per 100,000 population) and 7.41 per 100,000 population (95% UI, 4.85-10.44 per 100,000 population), respectively; both of these rates were higher than the global averages. The most affected demographic groups were young and female individuals 25-39 years of age. Slight regional disparities were observed, with the northern and central regions of China bearing comparatively higher burdens. Between 1990 and 2021, the health loss and disease burden caused by AA in China remained relatively stable. The ASPR and ASDR of AA increased with the GDP when the annual GDP was less than 2 trillion Chinese yuan; however, a downward trend was observed as the GDP surpassed 2 trillion Chinese yuan. A slight upward trend in the disease burden of AA in China is predicted to occur over the next decade. CONCLUSIONS AA continues to be a public health concern in China that shows no signs of declining. Targeted efforts for young individuals and females are necessary because they experience a disproportionately high burden of AA.
Humans ; China/epidemiology* ; Alopecia Areata/epidemiology* ; Global Burden of Disease ; Female ; Male ; Adult ; Disability-Adjusted Life Years ; Middle Aged ; Prevalence ; Adolescent ; Young Adult ; Bayes Theorem ; Child ; Quality-Adjusted Life Years ; Child, Preschool

Obesity has become a major global public health issue,and the situation in China is also becoming increasingly severe.Adipose tissue is categorized into white adipose tissue(WAT)and brown adipose tissue(BAT),which regulates metabolic homeostasis by secreting various adipokines.Mitochondria,as the core organelles of energy metabolism,its dysfunction are closely related to obesity.In the state of obesity,mitochondrial dynamics imbalance,oxidative stress,and metabolic dysfunction can all lead to energy metabolism disorders and adipose tissue dysfunction.Moreover,mitochondrial dysfunction not only affects adipose tissue but also extends to multiple organs such as muscles and livers,thereby exacerbating obesity and related metabolic diseases.In recent years,although numerous therapeutic strategies targeting mitochondrial dysfunction have been actively explored,their clinical translation faces challenges.This review explores the association between mitochondrial dysfunction in adipose tissue and obesity,analyses its mechanism and existing treatment strategies,aiming to provide a new perspective for the diagnosis and treatment of obesity.

Metabolic dysfunction-associated steatotic liver disease(MASLD)is a chronic liver condition intricately linked to metabolic abnormalities such as obesity,type 2 diabetes,dyslipidemia,and hypertension.The global prevalence of MASLD continues to rise,posing a significant public health challenge.The pathogenesis of MASLD is multifactorial,with the"multiple-hit"hypothesis suggesting that hepatic lipid accumulation,insulin resistance,oxidative stress,gut microbiota dysbiosis,and genetic factors collectively drive disease progression.Currently,clinical management primarily relies on lifestyle interventions;however,there is a lack of targeted pharmacological interventions,and there is an urgent need to investigate novel adjunctive therapeutic strategies.In recent years,probiotics have demonstrated potential value in MASLD treatment due to their capacity to modulate gut microbiota,enhance insulin sensitivity,and reduce liver inflammation.This review systematically examines the pathogenesis of MASLD and the limitations of existing therapeutic approaches,synthesizing the latest evidence of probiotics-assisted therapy for MASLD from the perspectives of animal studies and clinical trials.By analyzing the target mechanisms and molecular pathways of different strains(e.g.,Bifidobacterium,Lactobacillus),this review explores the translational potential of probiotics in MASLD treatment,aiming to provide a theoretical foundation and future research directions.

Objective To examine the expression levels of inflammatory factors,including IL-6,IL-10,MMP-9,IL-17A,and LDH,in the cerebrospinal fluid(CSF)of patients with spontaneous intracerebral hemor-rhage(sICH),and to investigate their associations with disease severity and clinical outcomes.Methods A total of 168 patients with sICH admitted to Tangshan GongRen Hospital between January 2023 and January 2025 were prospectively enrolled as the study group,while 30 non-sICH patients who underwent lumbar puncture during the same period served as the control group.Levels of inflammatory factors in CSF were compared between the two groups.Spearman's rank correlation analysis was performed to assess the association between inflammatory factor levels and clinical severity in sICH patients.Binary logistic regression analysis was conducted to identify independent predictors of sICH prognosis.Receiver operating characteristic(ROC)curve analysis was employed to evaluate the prognostic value of these inflammatory factors in sICH.Results The levels of IL-6,IL-10,MMP-9,IL-17A,and LDH in the CSF of patients with sICH were significantly higher than those in non-sICH patients(all P<0.05).Furthermore,among sICH patients,these biomarker levels exhibited a graded increase according to disease severity:severe>moderate>mild(all P<0.05).Spearman correlation analysis revealed significant positive correlations between CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH and the NIHSS scores,with correlation coefficients(r)of 0.686,0.553,0.685,0.593,and 0.695,respectively(all P<0.05).When comparing the prognoses of sICH patients,hematoma size,NIHSS score,and CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were significantly higher in the deceased group than in the survival group(P<0.05),whereas ApoA1 levels were lower in the deceased group(P<0.05).Logistic regression analysis revealed that hematoma size,NIHSS score,and elevated CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were independent risk factors for mortality in sICH patients(P<0.05).ROC curve analysis showed that the AUC values for CSF IL-6,IL-10,MMP-9,IL-17A,and LDH in predicting sICH prognosis were 0.794,0.754,0.670,0.717,and 0.683,respectively.Notably,the combination of CSF inflammatory markers with hematoma size and NIHSS score yielded an AUC of 0.993,demonstrating significantly greater predictive accuracy than CSF inflammatory markers alone(P<0.05).Conclusions The levels of inflammatory factors in the CSF,including IL-6,IL-10,MMP-9,IL-17A,and LDH,were elevated in patients with sICH and positively correlated with disease severity.Combining CSF inflammatory markers with the NIHSS score and hematoma size improved the predictive accuracy for sICH prognosis.

Objective To examine the expression levels of inflammatory factors,including IL-6,IL-10,MMP-9,IL-17A,and LDH,in the cerebrospinal fluid(CSF)of patients with spontaneous intracerebral hemor-rhage(sICH),and to investigate their associations with disease severity and clinical outcomes.Methods A total of 168 patients with sICH admitted to Tangshan GongRen Hospital between January 2023 and January 2025 were prospectively enrolled as the study group,while 30 non-sICH patients who underwent lumbar puncture during the same period served as the control group.Levels of inflammatory factors in CSF were compared between the two groups.Spearman's rank correlation analysis was performed to assess the association between inflammatory factor levels and clinical severity in sICH patients.Binary logistic regression analysis was conducted to identify independent predictors of sICH prognosis.Receiver operating characteristic(ROC)curve analysis was employed to evaluate the prognostic value of these inflammatory factors in sICH.Results The levels of IL-6,IL-10,MMP-9,IL-17A,and LDH in the CSF of patients with sICH were significantly higher than those in non-sICH patients(all P<0.05).Furthermore,among sICH patients,these biomarker levels exhibited a graded increase according to disease severity:severe>moderate>mild(all P<0.05).Spearman correlation analysis revealed significant positive correlations between CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH and the NIHSS scores,with correlation coefficients(r)of 0.686,0.553,0.685,0.593,and 0.695,respectively(all P<0.05).When comparing the prognoses of sICH patients,hematoma size,NIHSS score,and CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were significantly higher in the deceased group than in the survival group(P<0.05),whereas ApoA1 levels were lower in the deceased group(P<0.05).Logistic regression analysis revealed that hematoma size,NIHSS score,and elevated CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were independent risk factors for mortality in sICH patients(P<0.05).ROC curve analysis showed that the AUC values for CSF IL-6,IL-10,MMP-9,IL-17A,and LDH in predicting sICH prognosis were 0.794,0.754,0.670,0.717,and 0.683,respectively.Notably,the combination of CSF inflammatory markers with hematoma size and NIHSS score yielded an AUC of 0.993,demonstrating significantly greater predictive accuracy than CSF inflammatory markers alone(P<0.05).Conclusions The levels of inflammatory factors in the CSF,including IL-6,IL-10,MMP-9,IL-17A,and LDH,were elevated in patients with sICH and positively correlated with disease severity.Combining CSF inflammatory markers with the NIHSS score and hematoma size improved the predictive accuracy for sICH prognosis.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

Objective:To explore the predictive value of the neutrophil-to-lymphocyte ratio (NLR) and soluble triggering receptor expressed on myeloid cell-1 (sTREM-1) for the risk of severe community-acquired pneumonia (CAP) in elderly patients.Methods:A total of 109 elderly CAP patients admitted to Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from November 2023 to May 2024 were included. The patients were classified into severe group and non-severe group according to the severity of the disease. Inflammatory markers including NLR, sTREM-1, platelet-to-lymphocyte ratio (PLR), procalcitonin (PCT), C-reactive protein (CRP), and interleukin-6 (IL-6) were compared between severe group and non-severe group. Levels of NLR, sTREM-1, and PLR on days one, four and seven after admission in 27 elderly patients with severe CAP were dynamically monitored. Statistical analyses were performed using two independent sample t-test and Mann-Whitney U test. The predictive factors for severe CAP in elderly patients were analyzed by multivariate logistic regression analysis, and receiver operating characteristic (ROC) curve was used to evaluate the efficacy of each indicator for predicting severe CAP in elderly patients. Results:There were 36 cases in severe group, and 73 cases in non-severe group. The levels of NLR, sTREM-1, PLR, PCT, CRP and IL-6 were significantly higher in the severe group than those in the non-severe group ( Z=-5.77, -3.48, -2.84, -3.94, -3.36 and -3.25, respectively; all P<0.01). Multivariate logistic regression analysis revealed that NLR and sTREM-1 were independent predictive factors for severe CAP in elderly patients (odds ratio ( OR) =1.112, 95% confidence interval ( CI) 1.000 to 1.235, P=0.049; OR=1.006, 95% CI 1.000 to 1.012, P=0.034). The ROC curve showed that the optimal cut-off value was 5.679 for NLR, and the area under the curve (AUC) was 0.841, with the sensitivity and specificity of 0.833 and 0.753, respectively. The optimal cut-off value of sTREM-1 was 151.275 ng/L (AUC was 0.731), with the sensitivity and specificity of 0.639 and 0.639, respectively. The AUC of the combined detection of NLR and sTREM-1 was 0.839, with the sensitivity and specificity of 0.944 and 0.630, respectively. The levels of sTREM-1 ((121.84±75.04) ng/L vs (179.06±85.44) ng/L), NLR (6.74±4.40 vs 11.87±7.78), and PLR (210.07±129.93 vs 294.91±187.61) on the 7th day of admission in 27 elderly patients with severe CAP were significantly lower than those on the 1st day ( t=-3.396, -3.492 and -3.396, respectively, P=0.005, 0.004 and 0.005, respectively). Conclusions:NLR and sTREM-1 have certain predictive value for the risk of severe CAP in elderly patients.

Objective:To explore the predictive value of the neutrophil-to-lymphocyte ratio (NLR) and soluble triggering receptor expressed on myeloid cell-1 (sTREM-1) for the risk of severe community-acquired pneumonia (CAP) in elderly patients.Methods:A total of 109 elderly CAP patients admitted to Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from November 2023 to May 2024 were included. The patients were classified into severe group and non-severe group according to the severity of the disease. Inflammatory markers including NLR, sTREM-1, platelet-to-lymphocyte ratio (PLR), procalcitonin (PCT), C-reactive protein (CRP), and interleukin-6 (IL-6) were compared between severe group and non-severe group. Levels of NLR, sTREM-1, and PLR on days one, four and seven after admission in 27 elderly patients with severe CAP were dynamically monitored. Statistical analyses were performed using two independent sample t-test and Mann-Whitney U test. The predictive factors for severe CAP in elderly patients were analyzed by multivariate logistic regression analysis, and receiver operating characteristic (ROC) curve was used to evaluate the efficacy of each indicator for predicting severe CAP in elderly patients. Results:There were 36 cases in severe group, and 73 cases in non-severe group. The levels of NLR, sTREM-1, PLR, PCT, CRP and IL-6 were significantly higher in the severe group than those in the non-severe group ( Z=-5.77, -3.48, -2.84, -3.94, -3.36 and -3.25, respectively; all P<0.01). Multivariate logistic regression analysis revealed that NLR and sTREM-1 were independent predictive factors for severe CAP in elderly patients (odds ratio ( OR) =1.112, 95% confidence interval ( CI) 1.000 to 1.235, P=0.049; OR=1.006, 95% CI 1.000 to 1.012, P=0.034). The ROC curve showed that the optimal cut-off value was 5.679 for NLR, and the area under the curve (AUC) was 0.841, with the sensitivity and specificity of 0.833 and 0.753, respectively. The optimal cut-off value of sTREM-1 was 151.275 ng/L (AUC was 0.731), with the sensitivity and specificity of 0.639 and 0.639, respectively. The AUC of the combined detection of NLR and sTREM-1 was 0.839, with the sensitivity and specificity of 0.944 and 0.630, respectively. The levels of sTREM-1 ((121.84±75.04) ng/L vs (179.06±85.44) ng/L), NLR (6.74±4.40 vs 11.87±7.78), and PLR (210.07±129.93 vs 294.91±187.61) on the 7th day of admission in 27 elderly patients with severe CAP were significantly lower than those on the 1st day ( t=-3.396, -3.492 and -3.396, respectively, P=0.005, 0.004 and 0.005, respectively). Conclusions:NLR and sTREM-1 have certain predictive value for the risk of severe CAP in elderly patients.

In recent years, the burden of chronic and non-communicable diseases has become more serious in China, and the area specific heterogeneities are obvious. Southwestern China is a vast area with many ethnic groups and distinctive characteristics. While the local health resources are relatively limited, and the prevention and control of high-risk chronic diseases is challenging. In order to comprehensively analyze the disease distribution and potential exposure risk in populations in different ethnic groups in southwestern China, a natural population cohort study in southwestern China (multi-ethnic cohort study) was launched in 2017 with the support of the "Precision Medicine Research" Key Project, National Key Research and Development Program of China. At present, this cohort consists of 119 556 participants aged 30-79 years (18-79 years in Tibet Autonomous Region) and pregnant women in five provinces (municipality), i.e. Sichuan, Yunnan, Guizhou, Tibet, and Chongqing. A large-scale, multi-ethnic, high-quality natural population cohort with biobank has been established. The study has made some significant progress in the evaluation of the health impact of environmental and lifestyle factors in southwestern China and developed an innovative model for large cohort establishment in less developed areas. The results of this study can provide a reference for the establishment and research of large natural population cohorts in complex geographical scenarios, and serve as high-quality basic resources for China's precision medicine research and disease prevention and control decisions in areas with multi-ethnic groups.