1.Study on the modeling method of general model of Yaobitong capsule intermediates quality analysis based on near infrared spectroscopy
Le-ting SI ; Xin ZHANG ; Yong-chao ZHANG ; Jiang-yan ZHANG ; Jun WANG ; Yong CHEN ; Xue-song LIU ; Yong-jiang WU
Acta Pharmaceutica Sinica 2025;60(2):471-478
The general models for intermediates quality analysis in the production process of Yaobitong capsule were established by near infrared spectroscopy (NIRS) combined with chemometrics, realizing the rapid determination of notoginsenoside R1, ginsenoside Rg1, ginsenoside Re, ginsenoside Rb1, ginsenoside Rd and moisture. The spray-dried fine powder and total mixed granule were selected as research objects. The contents of five saponins were determined by high performance liquid chromatography and the moisture content was determined by drying method. The measured contents were used as reference values. Meanwhile, NIR spectra were collected. After removing abnormal samples by Monte Carlo cross validation (MCCV), Monte Carlo uninformative variables elimination (MC-UVE) and competitive adaptive reweighted sampling (CARS) were used to select feature variables respectively. Based on the feature variables, quantitative models were established by partial least squares regression (PLSR), extreme learning machine (ELM) and ant lion optimization least squares support vector machine (ALO-LSSVM). The results showed that CARS-ALO-LSSVM model had the optimum effect. The correlation coefficients of the six index components were greater than 0.93, and the relative standard errors were controlled within 6%. ALO-LSSVM was more suitable for a large number of samples with rich information, and the prediction effect and stability of the model were significantly improved. The general models with good predicting effect can be used for the rapid quality determination of Yaobitong capsule intermediates.
2.Association between medium to long term ambient PM 2.5 exposure and overweight/obesity among primary and secondary school students
Chinese Journal of School Health 2025;46(7):937-940
Objective:
To investigate the association between medium to long term PM 2.5 exposure around school areas and overweight/obesity among primary and secondary school students in Guangxi, providing data support and theoretical foundations for scientifically addressing overweight and obesity in primary and secondary school students.
Methods:
From September to November 2023, a stratified cluster random sampling method was employed to select 251 183 students aged 7-18 years (grade 1 to grade 12) from 14 prefecture level cities (111 districts and counties) in Guangxi. PM 2.5 mass concentration data were obtained from the Tracking Air Pollution in China (TAP) dataset. Preliminary comparative analysis was conducted using the Mann-Whitney U test, while binary Logistic regression models were applied to quantify the relationship between PM 2.5 exposure and overweight/obesity. Restricted cubic spline analysis was further utilized to examine the nonlinear association between PM 2.5 concentration and overweight/obesity risk.
Results:
The detection rate of overweight/obesity among Guangxi students in 2023 was 19.5%. The median PM 2.5 concentration in the year prior to the study was higher in the overweight/obesity group (23.22 μg/m 3) compared to the non overweight/obesity group (22.63 μg/m 3) ( Z=-15.66, P <0.01), and consistent trends were observed across gender (male/female) and educational stage (primary/junior/senior high school) subgroups (all P <0.01). Binary Logistic regression revealed that for every 10 μg/m 3 increase in the annual average PM 2.5 concentration, the risk of overweight/obesity increased by 12% ( OR=1.12, 95%CI=1.09- 1.15 , P <0.01). Restricted cubic spline analysis indicated a nonlinear relationship between monthly PM 2.5 levels and overweight/obesity risk ( P trend <0.01). Below 22.68 μg/m 3, PM 2.5 exposure showed no significant association with obesity risk; above the threshold, the risk increased with rising PM 2.5 levels.
Conclusion
Medium to long term PM 2.5 exposure around school environments is significantly associated with overweight/obesity among primary and secondary school students.
3.Historical Evolution and Key Information Research on Pediatric Famous Classical Formula Yigongsan
Jiangmin SU ; Jun ZHANG ; Cong GUO ; Anyi ZHAO ; Liang JIANG ; Heng ZHANG ; Jipeng DI ; Sha CHEN ; Li LIU ; Yan LIU ; An LIU
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(7):205-214
Yigongsan is derived from Xiaoer Yaozheng Zhijue written by QIAN Yi in the Northern Song dynasty, which is the No. 3 formula in the Catalogue of Ancient Famous Classical Formulas(The Second Batch of Pediatrics) released by the National Administration of Traditional Chinese Medicine(TCM) in September 2022, and it can be developed as a class 3.1 new TCM drug. By referring to ancient medical books and modern literature, this study conducted herbal textual research on Yigongsan from five aspects, including historical evolution, origin and processing, dosage conversion, usage and preparation methods, and functional application, then formed the key information table of this formula, in order to provide reference for the development of reference samples and preparations of Yigongsan. Based on the results of the study, it is recommended that Panax ginseng should be removed the basal part of stem(rhizoma), Poria cocos should be removed the peel, Citrus reticulata should be cut into shreds and Glycyrrhiza uralensis should be used. According to 4.13 g/Qian(钱), 1 g/slice for ginger, 3 g for each jujube and 300 mL/Zhan(盏), the doses of Ginseng Radix, Poria, Atractylodis Macrocephalae Rhizoma, Glycyrrhizae Radix et Rhizoma, Citri Reticulatae Pericarpium, Zingiberis Rhizoma Recens, Jujubae Fructus were 1.652, 1.652, 1.652, 1.652, 1.652, 5, 6 g, and the total amount was 19.26 g. The decocting method was to crush the medicinal materials into fine powder with 50-80 mesh, add 300 mL of water and decoct to 210 mL for each dose, then remove the dregs and take it warmly. This formula was recorded in ancient books as the main treatment for the cold-deficiency of spleen and stomach, and Qi stagnation in children with vomiting and diarrhea and lack of appetite. It has been flexibly applied by later generations of physicians, and is often used to treat anorexia, inflammation of the digestive tract, diarrhea and other diseases in children.
4.Self monitoring of blood glucose combined with digital diabetes management to improve clinical relevant indicators in type 2 diabetes
Jun YANG ; Qiuwen ZHU ; Ling WANG ; Yanni WU ; Xia QI ; Mengfei JIANG ; Xiaoyong YAN ; Hongyun MIAO
Chongqing Medicine 2024;53(1):79-83,88
Objective To compare the influence between self-monitoring of blood gluocose(SMBG)combined with digital diabetes management and traditional management mode on the related clinical indexes in the patients with type 2 diabetes mellitus(T2DM).Methods A total of 100 patients with T2DM treated in the endocrinology and metabolism outpatient department of this hospital from January 2022 to June 2022 and meeting the inclusion criteria of this study were successively included.They were divided into the experimental group and control group.The experimental group was managed by SMBG combined with digital diabetes man-agement mode,while the control group adopted the traditional management mode,the outpatient clinic follow up once a month.After 6 months of follow-up,fasting blood glucose,glycosylated hemoglobin(HbA1c),low density lipoprotein cholesterol(LDL-C)and urinary microalbumin/creatinine ratio(UACR)were compared between the two groups.Results The FBG,HbA1c,LDL-C,and UACR of the experimental group decreased after intervention when compared with baseline.Compared with the control group,the FBG[8.7(7.7,9.2)mmol/L vs.10.8(8.8,12.7)mmol/L,Z=-4.660,P<0.001],HbA1c[6.3%(5.3,7.8)%vs.8.5%(7.2,10.0)%,Z=-5.130,P<0.001],LDL-C[2.6(1.8,3.1)mmol/L vs.3.3(2.6,4.0)mmol/L,Z=-4.112,P<0.001],UACR[16.1(3.5,46.5)mg/g vs.58.4(11.9,108.0)mg/g,Z=-2.220,P=0.026]for patients in the expriemental group after intervention were significantly decreased.Conclusion SMBG combined with digital diabetes management model can significantly improve the clinical indicators of patients.
5.Therapeutic effect of cardiac rehabilitation based on traditional exercise on heart failure:a Meta-a-nalysis
Jun-Ru XING ; Yan YANG ; Xin CHEN ; Jiang-Fen CAO ; Ru-Nan GUO
Chinese Journal of cardiovascular Rehabilitation Medicine 2024;33(1):6-10
Objective:To explore therapeutic effect of cardiac rehabilitation based on traditional exercise on heart failure(HF).Methods:We searched databases including CNKI,Wanfang,VIP,Pubmed and Cochrane library for literature about application of cardiac rehabilitation exercise based on traditional exercises in HF patients before Mar 2023.Literature were screened according to inclusion and exclusion criteria,while article quality assessment and da-ta extraction were performed,and RevMan 5.3 software was used to perform Meta analysis.Results:Meta analysis indicated that compared with control group,there were significant increase in LVEF[MD=4.51,95%CI(1.70,7.33),P=0.002]and 6 min walking distance[6MWD,MD=51.90,95%CI(39.24,64.57),P=0.001],and sig-nificant reductions in left ventricular end-systolic diameter[MD=-1.64,95%CI(-3.18,-0.11),P=0.040],left ventricular end-diastolic diameter[MD=-2.49,95%C1(-3.28,-1.69),P=0.001],score of Minnesota living with heart failure questionnaire[MD=-6.89,95%CI(-8.64,-5.33),P=0.001]and level of N-ter-minal pro-brain natriuretic peptide[MD=-151.46,95%CI(-208.21,-94.70),P=0.001]in observation group.Conclusion:Cardiac rehabilitation based on traditional exercise can significantly improve heart function,in-crease 6 min walking distance and improve quality of life in patients with heart failure.
6.Exploring the Integrated Traditional Chinese and Western Medicine Treatment for Acute Respiratory Distress Syndrome from the Perspective of State Differentiation and Treatment
Yikun GUO ; Miao CHENG ; Jun YAN ; Bei XUE ; Linwen CHEN ; Shujiao LI ; Shangshang JIANG ; Liangduo JIANG ; Chengjun BAN
Journal of Traditional Chinese Medicine 2024;65(6):577-581
From the perspective of state differentiation and treatment, it is believed that the pathogenesis of acute respiratory distress syndrome (ARDS) is that evil poisons injured the lungs, and the lung qi suddenly collapsed, then blocked and exhausted, and the qi failure to control blood and liquid, then the fluids overflow outside the vessels, and damp phlegm, stasis, and toxins became knotted up in the body, which ultimately leads to qi dysfunction, and a series of symptom arise, so qi impairment is the principal mechanism of ARDS. A combination of Chinese and Western medicine was proposed to treat ARDS by combining tangible qi and intangible qi, using Chinese herbal medicine to boost qi and relieve collapse, percolate and drain dampness with bland medicinals, resolve toxins and dissolve stasis, and regulate qi, and combining with Western medicine to assist qi circulation to improve qi's consolidation, propulsion, and transformation, so as to make the evil qi go away, the positive qi restored, the viscera qi circulated, qi, blood, yin, and yang connected, and the activities of life maintained, and thus to achieve the goal of treating ARDS by integrated Chinese medicine and Western medicine.
7.The Mechanism of miR-124 in Depression
Yan XUE ; De-Zhu LI ; Hui-Ying XIE ; Chuan-Miao JIANG ; Jun-Fang ZHANG
Progress in Biochemistry and Biophysics 2024;51(6):1316-1326
Depression is a prevalent mental illness worldwide, its multifaceted pathogenesis is still in the exploratory stage. MicroRNA (miRNA), as a crucial epigenetic regulator, plays an important role in depression. miR-124 is one of the most abundant miRNAs in the central nervous system including neurons and microglia, and involved in various biological events like neuron development and differentiation, synaptic and axonal growth, neural plasticity, inflammation and autophagy. Recent studies have reported abnormal expression of miR-124 in both depression patients and animal models. Most of the studies showed that miR-124 is upregulated in the hippocampus or prefrontal cortex in stress-induced rodent depression animal models such as CUMS, CSDS, CORT, CRS and LH but some evidence for divergence. Upregulation of miR-124 expression may be involved in depression-like behavior via CREB/BDNF/TrkB pathway, GR pathway, SIRT1 pathway, apoptosis and autophagy pathways by directly targeting these genes including Creb, Bdnf, Sirt1, Nr3c1, Ezh2 and Stat3. The downregulation of miR-124 expression in neurons is mainly involved in the neurogenesis and neuroplasticity impairments in depression by targeting the Notch signaling pathway and DDIT4/TSC1/2/mTORC1 pathway. The downregulation of miR-124 expression also was found in the activated microglia in the stress-induced models, and resulted in neuroinflammation. In summary, the abnormal expression of miR-124 in the brain of depression-related models and its related mechanisms are complex and even contradictory, and still need further research. This review provides a summary of the research progress of miR-124 in depression.
8.Analyses of the risk factors for the progression of primary antiphospholipid syndrome to systemic lupus erythematosus
Siyun CHEN ; Minmin ZHENG ; Chuhan WANG ; Hui JIANG ; Jun LI ; Jiuliang ZHAO ; Yan ZHAO ; Ruihong HOU ; Xiaofeng ZENG
Chinese Journal of Internal Medicine 2024;63(2):170-175
Objectives:Analyze the clinical characteristics of patients with primary antiphospholipid syndrome (PAPS) progressing to systemic lupus erythematosus (SLE).Explore the risk factors for the progression from PAPS to SLE.Methods:The clinical data of 262 patients with PAPS enrolled in Peking Union Medical College Hospital from February 2005 to September 2021 were evaluated. Assessments included demographic data, clinical manifestations, laboratory tests (serum levels of complement, anti-nuclear antibodies, anti-double-stranded DNA antibodies), treatment, and outcomes. Kaplan-Meier analysis was used to calculate the prevalence of SLE in patients with PAPS. Univariate Cox regression analysis was employed to identify the risk factors for PAPS progressing to SLE.Results:Among 262 patients with PAPS, 249 had PAPS (PAPS group) and 13 progressed to SLE (5.0%) (PAPS-SLE group). Univariate Cox regression analysis indicated that cardiac valve disease ( HR=6.360), positive anti-double-stranded DNA antibodies ( HR=7.203), low level of complement C3 ( HR=25.715), and low level of complement C4 ( HR=10.466) were risk factors for the progression of PAPS to SLE, whereas arterial thrombotic events ( HR=0.109) were protective factors ( P<0.05 for all). Kaplan-Meier analysis showed that the prevalence of SLE in patients suffering from PAPS with a disease course>10 years was 9%-15%. Hydroxychloroquine treatment had no effect on the occurrence of SLE in patients with PAPS ( HR=0.753, 95% CI 0.231-2.450, P=0.638). Patients with≥2 risk factors had a significantly higher prevalence of SLE compared with those with no or one risk factor (13-year cumulative prevalence of SLE 48.7% vs. 0 vs. 6.2%, P<0.001 for both). Conclusions:PAPS may progress to SLE in some patients. Early onset, cardiac-valve disease, positive anti-dsDNA antibody, and low levels of complement are risk factors for the progression of PAPS to SLE (especially in patients with≥2 risk factors). Whether application of hydroxychloroquine can delay this transition has yet to be demonstrated.
9.Chemical constituents from stems and leaves of Lonicera confusa and their anti-inflammatory activities
Xiao-Hua JIANG ; Yu-Lu WEI ; Jun BAI ; Xiao-Jie YAN ; Dian-Peng LI ; Feng-Lai LU
Chinese Traditional Patent Medicine 2024;46(2):484-489
AIM To study the chemical constituents and their anti-inflammatory activities of stems and leaves of Lonicera confusa DC.METHODS The 80%methanol extract from stems and leaves of L.confusa DC was isolated and purified by Diaion HP20SS,Sephadex LH-20,HSCCC and preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.Their anti-inflammatory activities were evaluated by measuring NO production of LPS-stimulated RAW264.7 cells in vitro.RESULTS Thirteen compounds were isolated and identified as benzyl alcohol-O-β-D-glucopyranosyl-(1 →6)-β-D-glucopyranoside(1),sweroside(2),epi-vogeloside(3),vogeloside(4),secologanoside(5),secoxyloganin(6),secologanin dimethyl acetal(7),methyl chlorogenate(8),apigenin-7-O-β-D-glucopyranoside(9),luteolin-7-O-β-D-glucopyranoside(10),rhoifolin(11),luteolin-7-O-α-L-arabinopyranosyl(1→6)-β-D-glucopyranoside(12),and lonicerin(13).Compounds 2-8,11-13 inhibited the NO production of LPS-induced cells.CONCLUSION Compound 1 is first isolated from family Lonicera,compounds 3,5,7,9,11,and 12 are obtained from the stems and leaves of this plant for the first time.Compounds 2-8,11-13 exhibited anti-inflammatory activities.
10.Identification of chemical components of Longmu Qingxin Mixture by UPLC-Q-TOF-MS and research on its material basis for attention deficit hyperactivity disorder
Xue-Jun LI ; Zhi-Yan JIANG ; Zhen XIAO ; Xiu-Feng CHEN ; Shu-Min WANG ; Yi-Xing ZHANG ; Wen-Yan PU
Chinese Traditional Patent Medicine 2024;46(2):490-498
AIM To identify the chemical components of Longmu Qingxin Mixture by UPLC-Q-TOF-MS and study its material basis for the treatment of attention deficit hyperactivity disorder.METHODS The sample was detected by mass spectrometry in positive and negative ion mode on a Waters CORTECS? UPLC? T3 chromatographic column.The data were analyzed with Peakview 1.2 software and matched with the Natural Products HR-MS/MS Spectral Library 1.0 database,and the components were identified in combination with literature reports.The material basis of Longmu Qingxin Mixture for the treatment of attention deficit hyperactivity disorder was analysed according to the identified components.RESULTS Forty chemical components were identified,including 11 flavonoids,6 monoterpene glycosides,4 triterpene saponins,3 phenolic acids,6 alkaloids etc.,which mainly derived from Radix Astragali,Radix Paeoniae Alba,Radix Scutellariae,licorice root,Ramulus Uncariae cum,etc.,baicalein,formononetin,astragaloside Ⅳ and rhynchophylline may be the material basis for the therapeutic effect of Longmu Qingxin Mixture.CONCLUSION UPLC-Q-TOF-MS can quickly identify the chemical components of Longmu Qingxin Mixture.Flavonoids,triterpene saponins and alkaloids may be the material basis for Longmu Qingxin Mixture for the treatment of attention deficit hyperactivity disorder,which can provide the basis for its material basis research,quality standard establishment and pharmacological study of the dismantled formula.


Result Analysis
Print
Save
E-mail