This study aims to explore the mechanism of Jiaotai Pills in treating depression based on metabolomics and network pharmacology. The chemical constituents of Jiaotai Pills were identified by UHPLC-Orbitrap Exploris 480, and the targets of Jiaotai Pills and depression were retrieved from online databases. STRING and Cytoscape 3.7.2 were used to construct the protein-protein interaction network of core targets of Jiaotai Pills in treating depression and the "compound-target-pathway" network. DAVID was used for Gene Ontology(GO) function and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses of the core targets. The mouse model of depression was established with chronic unpredictable mild stress(CUMS) and treated with different doses of Jiaotai Pills. The behavioral changes and pathological changes in the hippocampus were observed. UHPLC-Orbitrap Exploris 120 was used for metabolic profiling of the serum, from which the differential metabolites and related metabolic pathways were screened. A "metabolite-reaction-enzyme-gene" network was constructed for the integrated analysis of metabolomics and network pharmacology. A total of 34 chemical components of Jiaotai Pills were identified, and 143 core targets of Jiaotai Pills in treating depression were predicted, which were mainly involved in the arginine and proline, sphingolipid, and neurotrophin metabolism signaling pathways. The results of animal experiments showed that Jiaotai Pills alleviated the depression behaviors and pathological changes in the hippocampus of the mouse model of CUMS-induced depression. In addition, Jiaotai Pills reversed the levels of 32 metabolites involved in various pathways such as arginine and proline metabolism, sphingolipid metabolism, and porphyrin metabolism in the serum of model mice. The integrated analysis showed that arginine and proline metabolism, cysteine and methionine metabolism, and porphyrin metabolism might be the key pathways in the treatment of depression with Jiaotai Pills. In conclusion, metabolomics combined with network pharmacology clarifies the antidepressant mechanism of Jiaotai Pills, which may provide a basis for the clinical application of Jiaotai Pills in treating depression.
Animals ; Drugs, Chinese Herbal/chemistry* ; Depression/genetics* ; Mice ; Network Pharmacology ; Metabolomics ; Male ; Disease Models, Animal ; Humans ; Protein Interaction Maps/drug effects* ; Antidepressive Agents

Objective:To develop a treatment-related quality of life scale for Chinese patients with multiple myeloma (MM) and to test its reliability and validity.Methods:The initial scale was constructed through a literature search, Delphi expert correspondence, and cognitive testing. This study conducted a preliminary survey of 379 patients with MM and a formal survey of 865 patients from the hematology departments of 155 hospitals nationwide from February 2024 to March 2024. The final scale was obtained after conducting item analysis and reliability and validity tests on the initial scale.Results:The constructed scale contains 36 items covering six domains: physiological, psychological, social, treatment side effects, general health, and others. In the preliminary survey, the Cronbach’s alpha coefficient of each item ranged from 0.597 to 0.939, and the test-retest reliability was 0.747 ( P<0.001). Exploratory factor analysis extracted eight common factors with a cumulative variance contribution of 60.058%. In the formal survey, the Cronbach’s alpha coefficient of each item ranged from 0.484 to 0.930, and the test-retest reliability was 0.835 ( P<0.001). Confirmatory factor analysis revealed a comparative fit index of 0.750, a root-mean-square error of approximation of 0.090, and a root-mean-square residual of 0.067. Conclusion:The treatment-related quality of life scale for Chinese patients with MM designed in this study exhibited good reliability and validity, reflecting the impact of treatment on the quality of life of patients. This scale can provide a reference to clinicians for assessing the disease status of patients.

Objective:To understand the development status of maternal and child health care institutions in China from 2012 to 2022, identify the challenges they face, and provide references for further promoting the high-quality development of these institutions.Methods:Data from the China Health Statistics Yearbook (2013—2015), China Health and Family Planning Statistics Yearbook (2016—2017), and China Health and Wellness Statistics Yearbook (2018—2023) were used. Descriptive analysis was conducted on the data related to resource allocation and utilization efficiency, service provision, income and expenditure structure, and operational status of maternal and child health care institutions in China from 2012 to 2022, using methods such as fixed-base growth rate, year-on-year growth rate, and average annual growth rate. Results:From 2012 to 2022, the number of maternal and child health care institutions in China decreased from 3 044 to 3 031. In terms of resource allocation, the average annual growth rates of bed numbers and business-use floor area were 5.404% and 10.923%, respectively, while the average annual growth rate of health professionals was 7.183%. Regarding service provision, the average annual growth rates of outpatient visits and inpatient admissions were 3.954% and 1.572%, respectively. In terms of service efficiency, the bed occupancy rate decreased from 76.9% to 53.9%, and the average number of patients seen per physician per day decreased from 8.85 to 7.30. In terms of income and expenditure and operations, the income-expenditure surplus rate decreased from 9.16% to 5.41%, and the debt-to-asset ratio increased from 27.88% to 33.60%. During the same period, the average annual growth rates of bed numbers and business-use floor area in grassroots maternal and child health care institutions were 4.545% and 10.091%, respectively, lower than the national average. The number of outpatient visits increased from 89.03 million to 126.93 million, with an average annual growth rate of 3.610%, while the number of inpatient admissions decreased from 4.19 million to 3.91 million, with an average annual decline of 0.689%. The income-expenditure surplus rate of grassroots institutions decreased from 7.76% to 4.05%, 1.36 percentage points lower than the national level, and the debt-to-asset ratio increased from 27.53% to 36.37%, higher than the overall level.Conclusions:From 2012 to 2022, maternal and child health care institutions in China achieved certain developments in resource allocation and service scale. However, several challenges remain, including unbalanced resource allocation, decreased utilization efficiency, slowed growth in medical service volume, imbalanced income and expenditure structure, increased asset operation risks, and restricted development of grassroots institutions. It is recommended that relevant management departments and maternal and child health care institutions optimize resource allocation, plan for service transformation and upgrading, expand income sources, strengthen internal financial control, and reinforce the construction of high-quality and efficient maternal and child health care systems to promote the high-quality development of maternal and child health care institutions in China.

Objective:Invasive pulmonary mucormycosis(PM)is a rare but highly lethal opportunistic infection.COVID-19 associated mucormycosis(CAM)is difficult to diagnose,often leading to misdiagnosis or missed diagnosis,and has poor treatment outcomes.This study reports a case of successfully treated CAM and explores optimized diagnostic and therapeutic strategies.Methods:A retrospective analysis of the diagnosis and treatment process in a 50-year-old female patient with COVID-19 associated with diabetic ketoacidosis(DKA)and invasive pulmonary mucormycosis was conducted.Combined with a literature review,the therapeutic efficacy of local bronchoscopic instillation in conjunction with systemic treatment using liposomal Amphotericin B(L-AmB)was specifically evaluated.Results:The patient was rapidly diagnosed with Rhizopus microsporus infection through metagenomic next-generation sequencing(mNGS).She subsequently received antifungal treatment with intravenous L-AmB combined with local bronchoscopic instillation.After treatment,the patient was significantly improved,with imaging studies showing gradual absorption of the lesions.Follow-up at six months revealed no recurrence.A literature review suggests that early diagnosis and multimodal therapy are key to improving survival rates in patients with CAM.Conclusion:mNGS can significantly improve the early diagnosis rate of CAM.The combination of local and systemic treatment with L-AmB is valuable in improving prognosis.Early diagnosis,multimodal antifungal therapy,and individualized management are key to increasing the survival rate of patients with CAM.

Objective:Invasive pulmonary mucormycosis(PM)is a rare but highly lethal opportunistic infection.COVID-19 associated mucormycosis(CAM)is difficult to diagnose,often leading to misdiagnosis or missed diagnosis,and has poor treatment outcomes.This study reports a case of successfully treated CAM and explores optimized diagnostic and therapeutic strategies.Methods:A retrospective analysis of the diagnosis and treatment process in a 50-year-old female patient with COVID-19 associated with diabetic ketoacidosis(DKA)and invasive pulmonary mucormycosis was conducted.Combined with a literature review,the therapeutic efficacy of local bronchoscopic instillation in conjunction with systemic treatment using liposomal Amphotericin B(L-AmB)was specifically evaluated.Results:The patient was rapidly diagnosed with Rhizopus microsporus infection through metagenomic next-generation sequencing(mNGS).She subsequently received antifungal treatment with intravenous L-AmB combined with local bronchoscopic instillation.After treatment,the patient was significantly improved,with imaging studies showing gradual absorption of the lesions.Follow-up at six months revealed no recurrence.A literature review suggests that early diagnosis and multimodal therapy are key to improving survival rates in patients with CAM.Conclusion:mNGS can significantly improve the early diagnosis rate of CAM.The combination of local and systemic treatment with L-AmB is valuable in improving prognosis.Early diagnosis,multimodal antifungal therapy,and individualized management are key to increasing the survival rate of patients with CAM.

Objective:To develop a treatment-related quality of life scale for Chinese patients with multiple myeloma (MM) and to test its reliability and validity.Methods:The initial scale was constructed through a literature search, Delphi expert correspondence, and cognitive testing. This study conducted a preliminary survey of 379 patients with MM and a formal survey of 865 patients from the hematology departments of 155 hospitals nationwide from February 2024 to March 2024. The final scale was obtained after conducting item analysis and reliability and validity tests on the initial scale.Results:The constructed scale contains 36 items covering six domains: physiological, psychological, social, treatment side effects, general health, and others. In the preliminary survey, the Cronbach’s alpha coefficient of each item ranged from 0.597 to 0.939, and the test-retest reliability was 0.747 ( P<0.001). Exploratory factor analysis extracted eight common factors with a cumulative variance contribution of 60.058%. In the formal survey, the Cronbach’s alpha coefficient of each item ranged from 0.484 to 0.930, and the test-retest reliability was 0.835 ( P<0.001). Confirmatory factor analysis revealed a comparative fit index of 0.750, a root-mean-square error of approximation of 0.090, and a root-mean-square residual of 0.067. Conclusion:The treatment-related quality of life scale for Chinese patients with MM designed in this study exhibited good reliability and validity, reflecting the impact of treatment on the quality of life of patients. This scale can provide a reference to clinicians for assessing the disease status of patients.

Objective:To understand the development status of maternal and child health care institutions in China from 2012 to 2022, identify the challenges they face, and provide references for further promoting the high-quality development of these institutions.Methods:Data from the China Health Statistics Yearbook (2013—2015), China Health and Family Planning Statistics Yearbook (2016—2017), and China Health and Wellness Statistics Yearbook (2018—2023) were used. Descriptive analysis was conducted on the data related to resource allocation and utilization efficiency, service provision, income and expenditure structure, and operational status of maternal and child health care institutions in China from 2012 to 2022, using methods such as fixed-base growth rate, year-on-year growth rate, and average annual growth rate. Results:From 2012 to 2022, the number of maternal and child health care institutions in China decreased from 3 044 to 3 031. In terms of resource allocation, the average annual growth rates of bed numbers and business-use floor area were 5.404% and 10.923%, respectively, while the average annual growth rate of health professionals was 7.183%. Regarding service provision, the average annual growth rates of outpatient visits and inpatient admissions were 3.954% and 1.572%, respectively. In terms of service efficiency, the bed occupancy rate decreased from 76.9% to 53.9%, and the average number of patients seen per physician per day decreased from 8.85 to 7.30. In terms of income and expenditure and operations, the income-expenditure surplus rate decreased from 9.16% to 5.41%, and the debt-to-asset ratio increased from 27.88% to 33.60%. During the same period, the average annual growth rates of bed numbers and business-use floor area in grassroots maternal and child health care institutions were 4.545% and 10.091%, respectively, lower than the national average. The number of outpatient visits increased from 89.03 million to 126.93 million, with an average annual growth rate of 3.610%, while the number of inpatient admissions decreased from 4.19 million to 3.91 million, with an average annual decline of 0.689%. The income-expenditure surplus rate of grassroots institutions decreased from 7.76% to 4.05%, 1.36 percentage points lower than the national level, and the debt-to-asset ratio increased from 27.53% to 36.37%, higher than the overall level.Conclusions:From 2012 to 2022, maternal and child health care institutions in China achieved certain developments in resource allocation and service scale. However, several challenges remain, including unbalanced resource allocation, decreased utilization efficiency, slowed growth in medical service volume, imbalanced income and expenditure structure, increased asset operation risks, and restricted development of grassroots institutions. It is recommended that relevant management departments and maternal and child health care institutions optimize resource allocation, plan for service transformation and upgrading, expand income sources, strengthen internal financial control, and reinforce the construction of high-quality and efficient maternal and child health care systems to promote the high-quality development of maternal and child health care institutions in China.

The breakage pattern of unit particles during the production of oral solid dosage forms (OSD) is closely related to the quality of intermediate or final products. To accurately characterize the particles and study the evolution law of particle breakage, the Bonding model of the discrete element method (DEM) was used to investigate the breakage patterns of model parameters, particle shape and process conditions (loading mode and loading rate) on the dynamic breakage, force-time curve, breakage rate, maximum breakage size ratio and fracture strength of particles. The results showed that the particle breakage force was positively correlated with normal strength and bonded disk scale, negatively correlated with normal stiffness per unit area and tangential stiffness per unit area, and weakly correlated with tangential strength. The particle breakage rate was negatively correlated with the aspect ratio of the particles, and the maximum breakage size ratio was positively correlated with the aspect ratio of the particles; among the three loading modes, the breakage rate of compression breakage model was the largest, the breakage rate of shear breakage model was the second largest, and the breakage rate of wear breakage model was the smallest; the maximum breakage size ratio was positively correlated with the loading rate, the loading mode and the loading rate had no mutual influence on particle breakage rate, but had mutual influence on the maximum breakage size ratio. The research results will provide a theoretical basis for the shift of OSD from batch manufacturing to advanced manufacturing.

This study aimed to investigate the effect of Jiaotai Pills on protein expression in the hippocampus of the rat model of chronic unpredictable mild stress(CUMS)-induced depression by quantitative proteomics and explore the anti-depression mechanism of Jiaotai Pills. The SD rats were randomized into control, model, Jiaotai Pills, and fluoxetine groups(n=8). Other groups except the control group were subjected to CUMS modeling for 4 weeks. After 4 weeks of continuous administration, the changes of behavior and pathological morphology of the hippocampal tissue were observed. Proteins were extracted from the hippocampal tissue, and bioinformatics analysis was performed for the differentially expressed proteins(DEPs) identified by quantitative proteomics. Western blot was employed to verify the key DEPs. The results showed that Jiaotai Pills significantly alleviated the depression behaviors and hippocampal histopathological changes in the rat model of CUMS-induced depression. A total of 5 412 proteins were identified in the hippocampus of rats, including 65 DEPs between the control group and the model group and 35 DEPs between the Jiaotai Pills group and the model group. There were 16 DEPs with the same trend in the Jiaotai Pills group and the control group, which were mainly involved in sphingolipid, AMPK, and dopaminergic synapse signaling pathways. The Western blot results of Ppp2r2b, Cers1, and Ndufv3 in the hippocampus were consistent with the results of proteomics. In conclusion, Jiaotai Pills may play an anti-depression role by modulating the levels of Ppp2r2b, Cers1, Ndufv3 and other proteins and regulating sphingolipid, AMPK, and dopaminergic synapse signaling pathways.
Rats ; Animals ; Rats, Sprague-Dawley ; Depression/drug therapy* ; AMP-Activated Protein Kinases/metabolism* ; Proteomics ; Hippocampus ; Stress, Psychological/metabolism* ; Sphingolipids/metabolism* ; Disease Models, Animal ; Drugs, Chinese Herbal

ObjectiveTo assess the prognostic value of ¹⁸F-FDG PET/CT parameters for predicting therapeutic response in diffuse large B-cell lymphoma （DLBCL）. MethodsWe retrospectively analyzed the clinical data and ¹⁸F-FDG PET/CT radiomics features of 81 DLBCL patients enrolled between June 2015 and October 2020. Multivariate logistic regression analysis was used to identify the predictive factors for therapeutic response of DLBCL， based on which a predictive model was developed accordingly. The performance of the model was evaluated by receiver operating characteristic （ROC） curves and calibration plots. ResultsDuring the two years after first chemotherapy， 23 patients （28.3%） developed relapse and 58 patients （71.7%） had progression-free survival （PFS）. The analysis for the predictive capability of the binary logistic regression model incorporating the PET/CT features revealed that the imaging features of ¹⁸F-FDG PET/CT after chemotherapy were independent prognostic factors for PFS. Among them， SUV_THR-mean2 was the most important factor for predicting therapeutic response in DLBCL patients after chemotherapy， with a cutoff value of 2.00 （AUC=0.81）. Conclusions¹⁸F-FDG PET/CT showed a valuable prognostic performance for PFS in DLBCL patients after chemotherapy， with the imaging feature after chemotherapy SUV_TLR-mean2 being the optimal independent predictor. Our predictive model of imaging features might have an important prognostic value in assessing the risk of disease progression， guiding the treatment and follow-up protocol， improving therapeutic efficiency and cutting down the medical cost.