OBJECTIVE To investigate the causal relationships between gut microbiota， blood metabolites and antidepressant treatment response from a genetic perspective， and to assess the potential mediating role of blood metabolites. METHODS This study utilized a two-sample Mendelian randomization （MR） design. Exposure data were derived from four large-scale gut microbiome genome-wide association study （GWAS） datasets and two blood metabolite GWAS datasets. The inverse variance weighted method was used as the primary method to evaluate the causal relationships between gut microbiota， blood metabolites and antidepressant effects. The robustness， heterogeneity and horizontal pleiotropy of the results were evaluated through various sensitivity analyses. Additionally， the false discovery rate （FDR） was applied to correct type Ⅰ errors caused by multiple hypothesis testing. Finally， MR mediation analysis was conducted to test the potential mediating effect of blood metabolites. RESULTS The s_ Bilophila was negatively associated with the effectiveness of antidepressant treatment （ P ＝8.030×10 －5 ， then P ＝0.033 after FDR correction）， and the f_Bacteroidales was positively associated with the effectiveness of antidepressant treatment （ P ＝3.275×10 －4 ， then P ＝0.034 after FDR correction）. Over a hundred blood metabolites were also screened out as being associated with antidepressant response， but after FDR correction， no significant causal relationship was observed. The P value of the mediation effect proportion of blood metabolites in the “gut microbiota-blood metabolites-antidepressant efficacy” pathway was greater than 0.05. CONCLUSIONS The s_ Bilophila may represent a risk factor for antidepressant effects， whereas the f_Bacteroidales may serve as a protective factor for antidepressant effects. The correlation between blood metabolites and antidepressant efficacy is not strong， and no genetic evidence is found to support that the investigated blood metabolites play a key mediating role between the gut microbiota and antidepressant response.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

OBJECTIVE: To compare the efficacy of percutaneous pedicle screw combined with unilateral nail placement combined with bone cement strengthening and bilateral nail placement in the treatment of osteoporotic thoracic and lumbar fractures. METHODS: A retrospective case-control study was used to analyze the clinical data of 78 patients with osteoporotic thoracic and lumbar fractures admitted from October 2017 to May 2019. According to the surgical method, it was divided into percutaneous pedicle screw combined with unilateral nail placement combined with unilateral bone cement strengthening group(bone cement group) and percutaneous pedicle screw combined with bilateral nail placement(screw group). In the bone cement group, 40 patients included 16 males and 24 females, with a mean age of (62.1±8.1) years old. In the screw group, 38 patients included 18 males and 20 females with a mean age of (65.1±9.3) years old. The operation time, intraoperative blood loss, length of hospital stay and postoperative complications were compared between two groups. The kyphosis Cobb angle, anterior edge height ratio, central height ratio and pain visual analogue score(VAS) were compared. RESULTS: All patients were followed up for 25 to 36 months. The operation time (70.1±17.3) min of the cement group was shorter than that of the screw group (78.6±18.2) min(P<0.05). There were no significant differences in intraoperative blood loss and length of hospital stay(P>0.05). The VAS in the cement group 1 year 1.5±0.5 and the latest follow-up 0.5±0.3 after operation were lower than 1 year 1.8±0.3 and the latest follow-up 0.8±0.4 in the screw group(P<0.05). The kyphosis Cobb angle, anterior edge height ratio, central height ratio in bone cement group, 1 year (6.2±1.2)°, (86.6±3.5)%, (91.1±2.5)%, the last follow-up (6.4±0.7)°, (85.5±3.3)%, (90.5±6.3)% were better than that of the screw group 1 year (6.8±1.4)°, (83.1±2.4)%, (89.9±3.4)% and the latest follow-up (7.1±1.1)°, (82.6±4.1)%, (87.6±5.9)%(P<0.05). There were 3 cases of bone cement leakage in the cement group, all of which had no clinical symptoms;and 2 cases of pedicle screws were extracted in the screw group, and the screws were removed at the last follow-up. CONCLUSION Percutaneous pedicle screw combined with unilateral nail placement combined with bone cement strengthening and bilateral nail placement in the treatment of osteoporotic thoracic and lumbar compression fractures in the elderly can achieve satisfactory efficacy and effectively relieve the pain of patients, but the former internal fixation system is more stable, and the long-term follow-up can effectively maintain the height of the anterior middle column and the correction of kyphosis deformity, and the incidence of chronic low back pain is lower.
Humans ; Male ; Female ; Aged ; Bone Cements ; Middle Aged ; Thoracic Vertebrae/surgery* ; Lumbar Vertebrae/surgery* ; Retrospective Studies ; Spinal Fractures/surgery* ; Osteoporotic Fractures/surgery* ; Case-Control Studies ; Bone Nails ; Pedicle Screws

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Objective:This study aims to explore the clinical characteristics of patients with multiple myeloma concurrently presenting with a second primary malignancy.By analyzing the causes based on literature reports,this study aims to deepen the understanding of multiple primary cancers in multiple myeloma patients,and provide some assistance for auxiliary examinations and risk assessments of multiple myeloma patients.Methods:A retrospective analysis was conducted on the clinical data of four patients with multiple myeloma who also had a second primary malignancy admitted to The Second Affiliated Hospital,Chongqing Medical University.Each patient was diagnosed with multiple myeloma through bone marrow aspiration and had a second primary malignancy confirmed through pathological biopsy.Results:The onset age of the 4 patients ranged from 42 to 81 years old;three were males and one was female.One patient had smoldering myeloma with a second primary hematological malignancy(follicular lymphoma),while the other 3 patients had concurrent solid malignancies,including bladder cancer,esophageal cancer,and breast cancer,respectively.Conclusion:Multiple myeloma accompanied by a second primary malignancy is rare,and early pathological biopsy is necessary for diagnosis to avoid missed diagnosis.

Oral potential malignant disorders (OPMDs) are a group of oral mucosal lesions with a risk of cancer transformation. The microenvironment surrounding the epithelial tissue is closely related to the malignant transformation of OPMDs. However, the changes and role of the periepithelial microenvironment during the malignant progression of OPMDs are not yet fully understood. This review discuss the impact of changes in the periepithelial microenvironment on the malignant transformation of OPMDs from following aspects: the immune microenvironment, stromal microenvironment, metabolic microenvironment, and oral microorganism. In the immune microenvironment, the immune surveillance capacity of periepithelial immune cells weakens, and some of these cells interact with malignant cells, resulting in an immunosuppressive microenvironment. Cells in the matrix promote the malignant transformation of OPMDs through the secretion of cytokines and nutritional support, along with extracellular matrix degradation and local angiogenesis. Epithelial cells undergo metabolic reprogramming during malignant transformation, while the resulting hypoxic microenvironment can further promote the malignant transition of epithelial cells. Oral microorganism fosters the malignant transformation of OPMDs by inducing inflammatory responses and creating hypoxic conditions.

Allergen-specific immunotherapy（AIT） remains the only therapeutic approach with the potential to modify the natural course of allergic rhinitis（AR）. Nevertheless, considerable inter-individual variability exists in patients'responses to AIT. To facilitate more reliable assessment of treatment efficacy, the China Rhinopathy Research Cooperation Group（CRRCG） convened young and middle-aged nasal experts in China to formulate the present consensus. The recommended subjective outcome measures for AIT comprise symptom scores, medication scores, combined symptom and medication scores, quality-of-life assessments, evaluation of disease control, and assessment of comorbidities. Objective indicators may supplement these measures. Currently available objective approaches include skin prick testing, nasal provocation testing, and allergen exposure chambers. However, these methods remain constrained by practical limitations and are not yet appropriate for routine implementation in clinical efficacy evaluation. In addition, several biomarkers, including sIgE and the sIgE/tIgE ratio, sIgG4, serum IgE-blocking activity, IgA, cytokines and chemokines, as well as immune cell surface molecules and their functional activity, have been shown to have associations with AIT outcomes. While these biomarkers may complement subjective assessments, they are subject to significant limitations. Consequently, large-scale multicenter trials and real-world evidence are required to strengthen the evidence base. The present consensus underscores the necessity of integrating patients'subjective experiences with objective testing throughout the treatment process, thereby providing a more comprehensive and accurate framework for efficacy evaluation. Looking forward, future investigations should prioritize the incorporation of multi-omics data and artificial intelligence methodologies, which hold promise for overcoming current limitations in assessment strategies and for advancing both the standardization and personalization of AIT.
Humans ; Allergens/immunology* ; China ; Consensus ; Desensitization, Immunologic ; Immunoglobulin E ; Quality of Life ; Rhinitis, Allergic/therapy* ; Treatment Outcome ; East Asian People

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.