OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

Osteoporotic fractures(OPF) refer to the fractures caused by minor violence in the state of osteoporosis, seriously threatening the life and health of elderly patients. Drug and surgical therapies have limitations such as single targets, diverse adverse reactions, and poor prognosis. Kidney-tonifying traditional Chinese medicine(TCM) has good potential in the treatment of OPF. TCM can promote the healing of OPF by promoting angiogenesis in the early stage of bone healing, promoting osteogenic differentiation of bone marrow mesenchymal stem cells in the stage of bone repair, maintaining the balance of osteogenic and osteoclastic system in the stage of bone remodeling, and regulating the oxidative stress responses throughout the process of OPF healing. TCM can alleviate the pathological state of osteoporosis and promote fracture healing in OPF patients via multiple pathways and targets, demonstrating the advantages and potential of biphasic regulation.
Humans ; Drugs, Chinese Herbal/therapeutic use* ; Osteoporotic Fractures/metabolism* ; Animals ; Fracture Healing/drug effects* ; Medicine, Chinese Traditional ; Kidney/metabolism* ; Osteogenesis/drug effects*

BACKGROUND:Fibromyalgia syndrome,as a common rheumatic disease,is related to central sensitization and immune abnormalities.However,the specific mechanism has not been elucidated,and there is a lack of specific diagnostic markers.Exploring the possible pathogenesis of this disease has important clinical significance. OBJECTIVE:To screen the potential diagnostic marker genes of fibromyalgia syndrome and analyze the possible immune infiltration characteristics based on bioinformatics methods,such as weighted gene co-expression network analysis(WGCNA),and machine learning. METHODS:Gene expression profiles in peripheral serum of fibromyalgia syndrome patients and healthy controls were obtained from the gene expression omnibus(GEO)database.The differentially co-expressed genes were screened in the expression profile by differential analysis and WGCNA analysis.Least absolute shrinkage and selection operator(LASSO)and support vector machine-recursive feature elimination(SVM-RFE)machine learning algorithm were further used to identify hub biomarkers,and draw receiver operating characteristic curve(ROC)to evaluate the accuracy of diagnosing fibromyalgia syndrome.Finally,single sample gene set enrichment analysis(ssGSEA)and gene set enrichment analysis(GSEA)were used to evaluate the immune cell infiltration and pathway enrichment in patients with fibromyalgia syndrome. RESULTS AND CONCLUSION:Eight down-regulated differentially expressed genes(DEGs)were obtained after differential analysis of the GSE67311 dataset according to the conditions of log2|(FC)|>0 and P<0.05.After WGCNA analysis,497 genes were included in the module(MEdarkviolet)with the highest positive correlation(r=0.22,P=0.04),and 19 genes were included in the module(MEsalmon2)with the highest negative correlation(r=-0.41,P=6×10-5).After intersecting DEGs and the module genes of WGCNA,seven genes were obtained.Four genes were screened out by LASSO regression algorithm and five genes were screened out by SVM-RFE machine learning algorithm.After the intersection of the two,three core genes were identified,which were germinal center associated signaling and motility like,integrin beta-8,and carboxypeptidase A3.The areas under the ROC curve of the three core genes were 0.744,0.739,and 0.734,respectively,indicating that they have good diagnostic value and can be used as biomarkers for fibromyalgia syndrome.The results of immune infiltration analysis showed that memory B cells,CD56 bright NK cells,and mast cells were significantly down-regulated in patients with fibromyalgia syndrome compared with the control group(P<0.05),and were significantly positively correlated with the above three biomarkers(P<0.05).The enrichment analysis suggested that there were nine fibromyalgia syndrome enrichment pathways,mainly related to olfactory transduction pathway,neuroactive ligand-receptor interaction,and infection pathway.The above results showed that the occurrence and development of fibromyalgia syndrome are related to the involvement of multiple genes,abnormal immune regulation,and multiple pathways imbalance.However,the interactions between these genes and immune cells,as well as their relationships with various pathways need to be further investigated.

Purpose To analyze the impact of early renal complication on brain function in diabetes using the amplitude of low frequency fluctuations(ALFF)and functional connectivity(FC).Materials and Methods A total of 39 early diabetic kidney disease patients and 49 diabetic patients without kidney disease were included at the First Affiliated Hospital of Army Medical University from September 2023 to June 2024.Cognitive assessments were conducted using the Montreal cognitive assessment(MoCA)and mini-mental state examination(MMSE).All subjects underwent resting-state functional magnetic resonance imaging.Differences in brain function between the two groups were analyzed by ALFF and FC.In the early diabetic kidney disease group,the correlation and stepwise multiple linear regression analysis were performed between imaging difference indicators and clinical variables.Results In the early diabetic kidney disease patients,there was a decrease in ALFF values in the left calcarine(P<0.05,corrected for FWE),but an increase in FC with the left putamen(P<0.05,corrected for FWE).The ALFF values showed a negative correlation with urinary albumin-to-creatinine ratio and total cholesterol(r=-0.595,-0.351,both P<0.05)and a positive correlation with MoCA and MMSE scores(r=0.596,0.591,both P<0.001).The FC values were positively correlated with urinary albumin-to-creatinine ratio(r=0.552,P<0.001),while negatively correlated with MoCA and MMSE scores(r=-0.497,P=0.011;r=-0.529,P<0.001).Conclusion Early renal complications can affect changes in brain function and cognitive abilities in diabetic patients;alterations in the ALFF of the left calcarine and its FC with left putamen may serve as imaging biomarkers for monitoring cognitive impairment and brain injury in early diabetic kidney disease.

Objective:To analyze the predictive role of WT1 expression levels pre-and early post-transplantation on relapse and overall survival(OS)in patients with acute myeloid leukemia(AML)undergoing allogeneic hematopoietic stem cell transplantation(allo-HSCT)during their first complete remission(CR1).Methods:A retrospective analysis was conducted on the clinical data of 107 adult AML patients who underwent allo-HSCT during their CR1 at our center between May 2012 and December 2021.The predictive role of bone marrow WT1 expression levels before transplantation and at 3 and 6 months post-transplantation on relapse and OS was explored in combination with relevant clinical factors.Results:The median follow-up time for the 107 patients was 70(range:11-117)months.Among the patients,15 cases died.Kaplan-Meier survial analysis showed that the 3-year overall survival(OS)rate was 85.0％.20 patients experienced relapse,with a median time to relapse of 8(range:0.5-44)months and a l-year cumulative relapse rate of 13.1％.The overall median value of WT1 before transplantation,3 months after transplantation,and 6 months after transplantation was 0.26％(range:0％-23.64％),with an upper quartile value of 0.74％.No statistically significant differences in WT1 expression levels were observed among the pre-transplantation,3-month post-transplantation,and 6-month post-transplantation time points(P=0.227).Univariate analysis showed that patients with WT1 levels＞0.74％at 3 months post-transplantation had a higher 1-year relapse rate(P=0.029)and lower 3-year OS rate(P＜0.001)compared to patients with WT1 levels ≤0.74％.Other significant factors affecting 1-year relapse included stem cell source(P=0.041)and chronic graft-versus-host disease(cGVHD)(P=0.013).For 3-year OS,additional influencing factors were genetic high risk(P=0.048)and stem cell source(P=0.016).Multivariate analysis revealed that WT1 level＞0.74％at 3 months post-transplantation had a trend to affect 1-year relapse rate(HR=3.309,95％CI:0.958-11.431,P=0.058),while the absence of cGVHD was an independent risk factor for 1-year relapse(HR=3.473,95％CI:0.749-16.100,P=0.037).Only WT1 level＞0.74％at 3 months post-transplantation was an independent risk factor for 3-year OS(HR=6.886,95％CI:2.402-19.738,P＜0.001).Conclusion:High WT1 expression level at 3 months post-transplantation in AML patients undergoing allo-HSCT during CR1 affects the 1-year relapse rate and 3-year OS,and is an independent risk factor affecting 3-year OS.These findings suggest that dynamic monitoring of WT1 expression levels has certain value in prognostic assessment of AML patients who received allo-HSCT during CR1.

Objective:To analyze the predictive role of WT1 expression levels pre-and early post-transplantation on relapse and overall survival(OS)in patients with acute myeloid leukemia(AML)undergoing allogeneic hematopoietic stem cell transplantation(allo-HSCT)during their first complete remission(CR1).Methods:A retrospective analysis was conducted on the clinical data of 107 adult AML patients who underwent allo-HSCT during their CR1 at our center between May 2012 and December 2021.The predictive role of bone marrow WT1 expression levels before transplantation and at 3 and 6 months post-transplantation on relapse and OS was explored in combination with relevant clinical factors.Results:The median follow-up time for the 107 patients was 70(range:11-117)months.Among the patients,15 cases died.Kaplan-Meier survial analysis showed that the 3-year overall survival(OS)rate was 85.0％.20 patients experienced relapse,with a median time to relapse of 8(range:0.5-44)months and a l-year cumulative relapse rate of 13.1％.The overall median value of WT1 before transplantation,3 months after transplantation,and 6 months after transplantation was 0.26％(range:0％-23.64％),with an upper quartile value of 0.74％.No statistically significant differences in WT1 expression levels were observed among the pre-transplantation,3-month post-transplantation,and 6-month post-transplantation time points(P=0.227).Univariate analysis showed that patients with WT1 levels＞0.74％at 3 months post-transplantation had a higher 1-year relapse rate(P=0.029)and lower 3-year OS rate(P＜0.001)compared to patients with WT1 levels ≤0.74％.Other significant factors affecting 1-year relapse included stem cell source(P=0.041)and chronic graft-versus-host disease(cGVHD)(P=0.013).For 3-year OS,additional influencing factors were genetic high risk(P=0.048)and stem cell source(P=0.016).Multivariate analysis revealed that WT1 level＞0.74％at 3 months post-transplantation had a trend to affect 1-year relapse rate(HR=3.309,95％CI:0.958-11.431,P=0.058),while the absence of cGVHD was an independent risk factor for 1-year relapse(HR=3.473,95％CI:0.749-16.100,P=0.037).Only WT1 level＞0.74％at 3 months post-transplantation was an independent risk factor for 3-year OS(HR=6.886,95％CI:2.402-19.738,P＜0.001).Conclusion:High WT1 expression level at 3 months post-transplantation in AML patients undergoing allo-HSCT during CR1 affects the 1-year relapse rate and 3-year OS,and is an independent risk factor affecting 3-year OS.These findings suggest that dynamic monitoring of WT1 expression levels has certain value in prognostic assessment of AML patients who received allo-HSCT during CR1.

Purpose To analyze the impact of early renal complication on brain function in diabetes using the amplitude of low frequency fluctuations(ALFF)and functional connectivity(FC).Materials and Methods A total of 39 early diabetic kidney disease patients and 49 diabetic patients without kidney disease were included at the First Affiliated Hospital of Army Medical University from September 2023 to June 2024.Cognitive assessments were conducted using the Montreal cognitive assessment(MoCA)and mini-mental state examination(MMSE).All subjects underwent resting-state functional magnetic resonance imaging.Differences in brain function between the two groups were analyzed by ALFF and FC.In the early diabetic kidney disease group,the correlation and stepwise multiple linear regression analysis were performed between imaging difference indicators and clinical variables.Results In the early diabetic kidney disease patients,there was a decrease in ALFF values in the left calcarine(P<0.05,corrected for FWE),but an increase in FC with the left putamen(P<0.05,corrected for FWE).The ALFF values showed a negative correlation with urinary albumin-to-creatinine ratio and total cholesterol(r=-0.595,-0.351,both P<0.05)and a positive correlation with MoCA and MMSE scores(r=0.596,0.591,both P<0.001).The FC values were positively correlated with urinary albumin-to-creatinine ratio(r=0.552,P<0.001),while negatively correlated with MoCA and MMSE scores(r=-0.497,P=0.011;r=-0.529,P<0.001).Conclusion Early renal complications can affect changes in brain function and cognitive abilities in diabetic patients;alterations in the ALFF of the left calcarine and its FC with left putamen may serve as imaging biomarkers for monitoring cognitive impairment and brain injury in early diabetic kidney disease.

OBJECTIVE: To explore clinical effect of Zero-profile intervertebral fusion with cage-titanium plate in treating multilevel cervical spondylotic myelopathy. METHODS: From January 2016 to January 2020, 107 patients with multisegmental cervical spondylotic myelopathy treated by surgery were retrospectively analyzed and divided into Hybrid group and control group according to different surgical methods. There were 54 patients in Hybrid group, including 42 males and 12 females, aged from 33 to 77 years old with an average of (57.3±9.5) years old;20 patients with C₃-C₆, 27 patients with C₄-C₇ and 7 patients with C₃-C₇;Zero-profile intervertebral fusion with cage-titanium plate internal fixation was performed. There were 53 patients in control group, including 34 males and 19 females;aged from 36 to 79 years old with an average of (57.8±8.9) years old;17 patients with C₃-C₆, 27 patients with C₄-C₇, and 9 patients with C₃-C₇;titanium plate interbody fusion fixation was performed. Operation time, blood loss and complications between two groups were compared, visual analogue scale (VAS), Japanese Orthopedic Association (JOA) scores and neck disability index (NDI) were used to assess recovery of clinical symptoms;cervical lordosis (CL), cervical sagittal vertical axis (C-SVA), and T₁ slope (T₁S) were measured and compared to evaluate cervical sagittal plane parameters. RESULTS: All patients were followed up, Hybrid group was followed up for 24 to 64 months with an average of (31.7±18.4) months, and control group was followed up for 24 to 65 months with an average of (32.6±15.8) months. There was no significant difference in follow-up time between two groups (P>0.05). Operation time and blood loss in Hybrid group were less than those in control group (P<0.05). VAS, JOA score and NDI were significantly improved between two groups at the lastest follow-up (P<0.05). There were no significant difference in VAS, JOA and NDI scores between two groups before and after operation (P>0.05). CL in both two groups at 3 months and the latest follow-up after operation were significantly improved than those before operation (P<0.05), there were no significant difference between two groups in T1S and C-SVA before and after operation (P>0.05). Postoperative dysphagia occurred in 2 patients in Hybrid group and 9 patients in control group, and had statistically difference in the incidence of dysphagia between two groups (χ²=5.112, P=0.024). During the follow-up, there were no complications such as loosening, displacement or fracture of internal fixation between two groups. CONCLUSION Compared with titanium plate interbody fusion, Zero-profile intervertebral fusion combined with cage-titanium plate for the treatment of multilevel cervical spondylotic myelopathy could shorten surgical time and blood loss, reduce surgical trauma and postoperative swallowing difficulties, and is conducive to early and rapid recovery.
Humans ; Male ; Female ; Middle Aged ; Spinal Fusion/instrumentation* ; Bone Plates ; Titanium ; Aged ; Spondylosis/surgery* ; Adult ; Cervical Vertebrae/surgery* ; Retrospective Studies ; Spinal Cord Diseases/surgery*

Objective China is among the 30 countries with a high burden of tuberculosis(TB)worldwide,and TB remains a public health concern.Kashgar Prefecture in the southern Xinjiang Autonomous Region is considered as one of the highest TB burden regions in China.However,molecular epidemiological studies of Kashgar are lacking. Methods A population-based retrospective study was conducted using whole-genome sequencing(WGS)to determine the characteristics of drug resistance and the transmission patterns. Results A total of 1,668 isolates collected in 2020 were classified into lineages 2(46.0%),3(27.5%),and 4(26.5%).The drug resistance rates revealed by WGS showed that the top three drugs in terms of the resistance rate were isoniazid(7.4%,124/1,668),streptomycin(6.0%,100/1,668),and rifampicin(3.3%,55/1,668).The rate of rifampicin resistance was 1.8%(23/1,290)in the new cases and 9.4%(32/340)in the previously treated cases.Known resistance mutations were detected more frequently in lineage 2 strains than in lineage 3 or 4 strains,respectively:18.6%vs.8.7 or 9%,P<0.001.The estimated proportion of recent transmissions was 25.9%(432/1,668).Multivariate logistic analyses indicated that sex,age,occupation,lineage,and drug resistance were the risk factors for recent transmission.Despite the low rate of drug resistance,drug-resistant strains had a higher risk of recent transmission than the susceptible strains(adjusted odds ratio,1.414;95%CI,1.023-1.954;P = 0.036).Among all patients with drug-resistant tuberculosis(DR-TB),78.4%(171/218)were attributed to the transmission of DR-TB strains. Conclusion Our results suggest that drug-resistant strains are more transmissible than susceptible strains and that transmission is the major driving force of the current DR-TB epidemic in Kashgar.