1.A comparative study on spirometry and type 2 inflammatory markers in cough-variant asthma,asthma-COPD overlap,and classic asthma
Zhengzhang GUI ; Lu YE ; Yang ZHOU ; Ling WANG ; Yifeng JIN
The Journal of Practical Medicine 2025;41(13):2065-2072
Objective To analyze the characteristics of spirometry and type 2 inflammation indicators of patients with CVA,ACO and CA to determine their clinical utility in identifying and distinguishing among CVA,ACO and CA patients.Methods Clinical data from 483 patients diagnosed with bronchial asthma,CVA,and bronchial asthma combined with chronic obstructive pulmonary disease in the outpatient department of the First Affiliated Hospital of Soochow University from July 2023 to June 2024 were collected and divided into CA,CVA and ACO groups according to diagnosis.Comparison of spirometry,fractional exhaled nitric oxide(FeNO),blood eosinophil(EOS),serum total immunoglobulin E(tIgE)and other tests between CA and CVA,CA and ACO groups.Perform logistic regression analysis on significant test results,then construct receiver operating characteristic(ROC)curves to compare the area under the curve and corresponding cut-off values.Result There was a statistically significant difference in tIgE between the CVA and CA groups(P=0.018),whereas no significant differences were observed in FeNO and EOS.Additionally,no notable differences were found between the ACO and CA groups in tIgE,FeNO,or EOS.Finally,FEV1%pred(OR=1.086,P=0.019),FEV1/FVC(OR=1.153,P=0.023),and MEF50%pred(OR=0.922,P=0.045)were used to construct the discriminative model between CA and CVA.ROC curves were plotted,with FEV1%pred showing an AUC of 0.680(P<0.001),a Youden index of 0.358,and a corresponding cutoff value of 89.200.FEV1/FVC had an AUC of 0.684(P<0.001),a Youden index of 0.334,and a cutoff value of 76.075.MEF50%pred had an AUC of 0.668(P<0.001),a Youden index of 0.309,and a cutoff value of 59.800.The combined sensitivity of these three measures was 0.909,specificity was 0.514,positive predictive value was 0.600,negative predictive value was 0.873,and the AUC was 0.773(P<0.001),with a Youden index of 0.423.FEV1(OR=0.002,P=0.045),FEV1%pred(OR=1.490,P=0.006),and FEV1/FVC(OR=0.749,P=0.005)were used to construct the discriminative model between CA and ACO.ROC curves were plotted,with FEV1 showing an AUC of 0.819(P<0.001),a Youden index of 0.532,and a corresponding cutoff value of 2.060.FEV1%pred had an AUC of 0.788(P<0.001),a Youden index of 0.501,and a cutoff value of 75.000.FEV1/FVC had an AUC of 0.891(P<0.001),a Youden index of 0.678,and a cutoff value of 68.620.The combined sensitivity of these three measures was 1.000,specificity was 0.904,positive predictive value was 0.771,negative predictive value was 1.000,and the AUC was 0.973(P<0.001),with a Youden index of 0.904.Conclusions Differences exist in the spirometry among CVA,ACO and CA.The spirometry results incor-porated into the discriminative models provide good discriminative value for distinguishing between CA and CVA patients with similar clinical symptoms,as well as for identifying ACO in the CA population.
2.A comparative study on spirometry and type 2 inflammatory markers in cough-variant asthma,asthma-COPD overlap,and classic asthma
Zhengzhang GUI ; Lu YE ; Yang ZHOU ; Ling WANG ; Yifeng JIN
The Journal of Practical Medicine 2025;41(13):2065-2072
Objective To analyze the characteristics of spirometry and type 2 inflammation indicators of patients with CVA,ACO and CA to determine their clinical utility in identifying and distinguishing among CVA,ACO and CA patients.Methods Clinical data from 483 patients diagnosed with bronchial asthma,CVA,and bronchial asthma combined with chronic obstructive pulmonary disease in the outpatient department of the First Affiliated Hospital of Soochow University from July 2023 to June 2024 were collected and divided into CA,CVA and ACO groups according to diagnosis.Comparison of spirometry,fractional exhaled nitric oxide(FeNO),blood eosinophil(EOS),serum total immunoglobulin E(tIgE)and other tests between CA and CVA,CA and ACO groups.Perform logistic regression analysis on significant test results,then construct receiver operating characteristic(ROC)curves to compare the area under the curve and corresponding cut-off values.Result There was a statistically significant difference in tIgE between the CVA and CA groups(P=0.018),whereas no significant differences were observed in FeNO and EOS.Additionally,no notable differences were found between the ACO and CA groups in tIgE,FeNO,or EOS.Finally,FEV1%pred(OR=1.086,P=0.019),FEV1/FVC(OR=1.153,P=0.023),and MEF50%pred(OR=0.922,P=0.045)were used to construct the discriminative model between CA and CVA.ROC curves were plotted,with FEV1%pred showing an AUC of 0.680(P<0.001),a Youden index of 0.358,and a corresponding cutoff value of 89.200.FEV1/FVC had an AUC of 0.684(P<0.001),a Youden index of 0.334,and a cutoff value of 76.075.MEF50%pred had an AUC of 0.668(P<0.001),a Youden index of 0.309,and a cutoff value of 59.800.The combined sensitivity of these three measures was 0.909,specificity was 0.514,positive predictive value was 0.600,negative predictive value was 0.873,and the AUC was 0.773(P<0.001),with a Youden index of 0.423.FEV1(OR=0.002,P=0.045),FEV1%pred(OR=1.490,P=0.006),and FEV1/FVC(OR=0.749,P=0.005)were used to construct the discriminative model between CA and ACO.ROC curves were plotted,with FEV1 showing an AUC of 0.819(P<0.001),a Youden index of 0.532,and a corresponding cutoff value of 2.060.FEV1%pred had an AUC of 0.788(P<0.001),a Youden index of 0.501,and a cutoff value of 75.000.FEV1/FVC had an AUC of 0.891(P<0.001),a Youden index of 0.678,and a cutoff value of 68.620.The combined sensitivity of these three measures was 1.000,specificity was 0.904,positive predictive value was 0.771,negative predictive value was 1.000,and the AUC was 0.973(P<0.001),with a Youden index of 0.904.Conclusions Differences exist in the spirometry among CVA,ACO and CA.The spirometry results incor-porated into the discriminative models provide good discriminative value for distinguishing between CA and CVA patients with similar clinical symptoms,as well as for identifying ACO in the CA population.
3.Heart Yin deficiency and cardiac fibrosis: from pathological mechanisms to therapeutic strategies.
Jia-Hui CHEN ; Si-Jing LI ; Xiao-Jiao ZHANG ; Zi-Ru LI ; Xing-Ling HE ; Xing-Ling CHEN ; Tao-Chun YE ; Zhi-Ying LIU ; Hui-Li LIAO ; Lu LU ; Zhong-Qi YANG ; Shi-Hao NI
China Journal of Chinese Materia Medica 2025;50(7):1987-1993
Cardiac fibrosis(CF) is a cardiac pathological process characterized by excessive deposition of extracellular matrix(ECM). When the heart is damaged by adverse stimuli, cardiac fibroblasts are activated and secrete a large amount of ECM, leading to changes in cardiac fibrosis, myocardial stiffness, and cardiac function declines and accelerating the development of heart failure. There is a close relationship between heart yin deficiency and cardiac fibrosis, which have similar pathogenic mechanisms. Heart Yin deficiency, characterized by insufficient Yin fluids, causes the heart to lose its nourishing function, which acts as the initiating factor for myocardial dystrophy. The deficiency of body fluids leads to stagnation of blood flow, resulting in blood stasis and water retention. Blood stasis and water retention accumulate in the heart, which aligns with the pathological manifestation of excessive deposition of ECM, as a tangible pathogenic factor. This is an inevitable stage of the disease process. The lingering of blood stasis combined with water retention eventually leads to the generation of heat and toxins, triggering inflammatory responses similar to heat toxins, which continuously stimulate the heart and cause the ultimate outcome of CF. Considering the syndrome of heart Yin deficiency, traditional Chinese medicine capable of nourishing Yin, activating blood, and promoting urination can reduce myocardial cell apoptosis, inhibit fibroblast activation, and lower the inflammation level, showing significant advantages in combating CF.
Humans
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Fibrosis/drug therapy*
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Animals
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Yin Deficiency/metabolism*
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Myocardium/metabolism*
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Medicine, Chinese Traditional
;
Drugs, Chinese Herbal/therapeutic use*
4.Expert consensus on evaluation index system construction for new traditional Chinese medicine(TCM) from TCM clinical practice in medical institutions.
Li LIU ; Lei ZHANG ; Wei-An YUAN ; Zhong-Qi YANG ; Jun-Hua ZHANG ; Bao-He WANG ; Si-Yuan HU ; Zu-Guang YE ; Ling HAN ; Yue-Hua ZHOU ; Zi-Feng YANG ; Rui GAO ; Ming YANG ; Ting WANG ; Jie-Lai XIA ; Shi-Shan YU ; Xiao-Hui FAN ; Hua HUA ; Jia HE ; Yin LU ; Zhong WANG ; Jin-Hui DOU ; Geng LI ; Yu DONG ; Hao YU ; Li-Ping QU ; Jian-Yuan TANG
China Journal of Chinese Materia Medica 2025;50(12):3474-3482
Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards*
;
Humans
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Consensus
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Drugs, Chinese Herbal/therapeutic use*
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Surveys and Questionnaires
5.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
6.Body fat distribution and semen quality in 4304 Chinese sperm donors.
Si-Han LIANG ; Qi-Ling WANG ; Dan LI ; Gui-Fang YE ; Ying-Xin LI ; Wei ZHOU ; Rui-Jun XU ; Xin-Yi DENG ; Lu LUO ; Si-Rong WANG ; Xin-Zong ZHANG ; Yue-Wei LIU
Asian Journal of Andrology 2025;27(4):524-530
Extensive studies have identified potential adverse effects on semen quality of obesity, based on body mass index, but the association between body fat distribution, a more relevant indicator for obesity, and semen quality remains less clear. We conducted a longitudinal study of 4304 sperm donors from the Guangdong Provincial Human Sperm Bank (Guangzhou, China) during 2017-2021. A body composition analyzer was used to measure total and local body fat percentage for each participant. Generalized estimating equations were employed to assess the association between body fat percentage and sperm count, motility, and morphology. We estimated that each 10% increase in total body fat percentage (estimated change [95% confidence interval, 95% CI]) was significantly associated with a 0.18 × 10 6 (0.09 × 10 6 -0.27 × 10 6 ) ml and 12.21 × 10 6 (4.52 × 10 6 -19.91 × 10 6 ) reduction in semen volume and total sperm count, respectively. Categorical analyses and exposure-response curves showed that the association of body fat distribution with semen volume and total sperm count was stronger at higher body fat percentages. In addition, the association still held among normal weight and overweight participants. We observed similar associations for upper limb, trunk, and lower limb body fact distributions. In conclusion, we found that a higher body fat distribution was significantly associated with lower semen quality (especially semen volume) even in men with a normal weight. These findings provide useful clues in exploring body fat as a risk factor for semen quality decline and add to evidence for improving semen quality for those who are expected to conceive.
Humans
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Male
;
Adult
;
Semen Analysis
;
China
;
Body Fat Distribution
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Longitudinal Studies
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Sperm Count
;
Sperm Motility
;
Body Mass Index
;
Tissue Donors
;
Obesity/complications*
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Spermatozoa
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Young Adult
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Middle Aged
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East Asian People
7.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
8.The Optimal Storage Condition and Storage Time of Umbilical Cord Blood from Collection to Preparation
Rui GUO ; Jun-Ye YANG ; Ya-Bin ZHANG ; Xue-Ping HE ; Yong ZHANG ; Jun-Ling HAN ; Wen-Ling YANG ; Lu-Gui QIU
Journal of Experimental Hematology 2024;32(2):577-582
Objective:To explore the optimal storage condition and time of umbilical cord blood from collection to preparation.Methods:Collect cord blood samples from 30 healthy newborns,with each new born's umbilical cord blood was divided into two parts on average.One part was stored in cold storage(4 ℃)and the other was stored at room temperature(20-24 ℃).Samples were taken at 24,36,48,60 and 72 h,respectively,total nucleated cells(TNC)count and TNC viability was analyzed.Flow cytometry was used to detect the ratio of viable CD34+cells to viable CD45+cells and viability of CD34+cells,and colony-forming unit-granulocyte-macrophage(CFU-GM)count was performed by hematopoietic progenitor cell colony culture.The change trend of each index over time was observed,and the differences in each index was compared between cold storage and room temperature storage under the same storage time.Results:The TNC count(r4℃=-0.9588,r20-24℃=-0.9790),TNC viability(r4℃=-0.9941,r20 24 ℃=-0.9970),CD34+cells viability(r4℃=-0.9932,r20-24℃=-0.9828)of cord blood stored in cold storage(4 ℃)and room temperature storage(20-24 ℃)showed a consistent downward trend with the prolongation of storage time.The percentage of viable CD34+cells(r4℃=0.9169,r20-24 ℃=0.7470)and CFU-GM count(r4℃=-0.2537,r20-24℃=-0.8098)did not show consistent trends.When the storage time was the same,the TNC count,TNC viability,CD34+cells viability and CFU-GM count of cord blood stored in cold storage were higher than those stored at room temperature.Under the same storage time(24,36,48,60 or 72 h),TNC viability in room temperature storage was significantly lower than that in cold storage(P<0.001),but TNC count,percentage of viable CD34+cells and CFU-GM count were not significantly different between room temperature storage and cold storage.When stored at room temperature for 24 h and 36 h,the viability of CD34+cells was significantly lower than that in cold storage(P<0.001,P<0.01),when the storage time for 48,60 and 72 h,there was no significant difference in the CD34+cells viability between room temperature storage and cold storage.Conclusion:It is recommended that cord blood be stored in cold storage(4 ℃)from collection to preparation,and processed as soon as possible.
9.Effects of methimazole on urinary metabolomics in hyperthyroidism rats
Xu LU ; Ling LI ; Tao YE ; Youfeng PENG ; Jiaxin HE ; Ning ZHANG
China Pharmacy 2024;35(9):1064-1069
OBJECTIVE To study the effects of methimazole on the urinary metabolomics of hyperthyroidism rats, and to preliminarily investigate its possible mechanism. METHODS Thirty SD rats were randomly divided into control group, model group and methimazole group, with 10 rats in each group. Except for the control group, the rats in the other two groups were given Levothyroxine sodium tablets 160 mg/kg by intragastric administration for 15 days; at the same time, methimazole group was additionally given methimazole 3.6 mg/kg daily by intragastric administration every day. The basic condition of the rats was observed, and the body weight and anal temperature were measured. After the last medication, the serum levels of triiodothyronine (T3), tetraiodothyronine (T4), free triiodothyronine (FT3), free tetraiodothyronine (FT4), and thyroid stimulating hormone (TSH) were determined; 24-hour urine was collected on the 15th day after administration. UPLC-TOF-MS was used to analyze the urine metabolomics of rats. Principal component analysis and orthogonal partial least squares-discriminant analysis were used to screen out related differential metabolites, and potential metabolic pathways were analyzed by using HMDB and KEGG. RESULTS Compared with the control group, the rectal temperature, serum levels of T3, T4, FT3 and FT4, the expressions of differential metabolites sebacic acid, cholic acid 3-O-glucuronic acid and N6, N6, N6-trimethyl-L-lysine in urine were significantly up-regulated, while body weight, serum level of TSH, the expressions of deoxycytidine and 2-oxo-4-methylthiobutanoic acid in urine were significantly down-regulated (P<0.01). Compared with model group, above indexes of rats were reversed significantly in methimazole group (P<0.01 or P<0.05). Above five differential metabolites were mainly involved in four signaling pathways: pentose and glucuronate interaction, lysine degradation, cysteine and methionine metabolism, and pyrimidine metabolism. CONCLUSIONS Methimazole might improve hyperthyroidism by modulating the four pathways of pentose and glucuronate interaction, lysine degradation, cysteine and methionine metabolism, and pyrimidine metabolism.
10.Effect of Chinese Medicine in Patients with COVID-19: A Multi-center Retrospective Cohort Study.
Guo-Zhen ZHAO ; Shi-Yan YAN ; Bo LI ; Yu-Hong GUO ; Shuang SONG ; Ya-Hui HU ; Shi-Qi GUO ; Jing HU ; Yuan DU ; Hai-Tian LU ; Hao-Ran YE ; Zhi-Ying REN ; Ling-Fei ZHU ; Xiao-Long XU ; Rui SU ; Qing-Quan LIU
Chinese journal of integrative medicine 2024;30(11):974-983
OBJECTIVE:
To evaluate the effectiveness and safety of Chinese medicine (CM) in the treatment of coronavirus disease 2019 (COVID-19) in China.
METHODS:
A multi-center retrospective cohort study was carried out, with cumulative CM treatment period of ⩾3 days during hospitalization as exposure. Data came from consecutive inpatients from December 19, 2019 to May 16, 2020 in 4 medical centers in Wuhan, China. After data extraction, verification and cleaning, confounding factors were adjusted by inverse probability of treatment weighting (IPTW), and the Cox proportional hazards regression model was used for statistical analysis.
RESULTS:
A total of 2,272 COVID-19 patients were included. There were 1,684 patients in the CM group and 588 patients in the control group. Compared with the control group, the hazard ratio (HR) for the deterioration rate in the CM group was 0.52 [95% confidence interval (CI): 0.41 to 0.64, P<0.001]. The results were consistent across patients of varying severity at admission, and the robustness of the results were confirmed by 3 sensitivity analyses. In addition, the HR for all-cause mortality in the CM group was 0.29 (95% CI: 0.19 to 0.44, P<0.001). Regarding of safety, the proportion of patients with abnormal liver function or renal function in the CM group was smaller.
CONCLUSION
This real-world study indicates that the combination of a full-course CM therapy on the basic conventional treatment, may safely reduce the deterioration rate and all-cause mortality of COVID-19 patients. This result can provide the new evidence to support the current treatment of COVID-19. Additional prospective clinical trial is needed to evaluate the efficacy and safety of specific CM interventions. (Registration No. ChiCTR2200062917).
Humans
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Retrospective Studies
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Male
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Female
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Middle Aged
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COVID-19/epidemiology*
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COVID-19 Drug Treatment
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Aged
;
Medicine, Chinese Traditional/methods*
;
Drugs, Chinese Herbal/adverse effects*
;
SARS-CoV-2
;
Treatment Outcome
;
China/epidemiology*
;
Adult

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