1.Effects of Chinese herbal medicine Danzhi Jiangtang Capsule and exercise on JNK signaling pathway in pancreatic tissues of diabetic rats.
Yuanjie WU ; Zhaohui FANG ; Shuguo ZHENG ; Yuanbo WU ; Aihua FAN
Journal of Integrative Medicine 2012;10(11):1279-85
To explore the effects of exercise and Danzhi Jiangtang Capsule (DJC), a compound traditional herbal medicine, on the JNK signaling pathway in pancreatic tissues of diabetic rats and to investigate the possible mechanisms of exercise and DJC in treating diabetes.
2.Studies on the interaction between troxerutin and bovine serum albumin
Lijuan WANG ; Xiaorong LI ; Yuhang LI ; Yanxia XU ; Xiaomin HU ; Yi CHEN ; Yuanjie FAN ; Ming XUE
Chinese Pharmacological Bulletin 2009;25(12):1584-1588
Aim To study the characteristics of the binding reaction of Troxetutin with bovine serum albumin (BSA) by fluorescence and ultra violet-visible absorption spectra.Methods The quenching mechanism of the fluorescence of BSA by troxerutin was studied with fluorescence.To determine the dynamic quenching constants and static binding constants,the Stern-Volmer equation and the double reciprocal Lineweaver-Burk equation were applied. The number of binding site was calculated with double logarithmic equation and the main binding force was discussed by thermodynamic equations. The binding distance and energy transfer efficiency between donor (BSA) and acceptor (troxerutin) were obtained effectively quenched fluorescence of BSA via static quenching processes. The binding constant Ka was calculated to be in the order of 106,indicating a strong interaction between Troxerutin and BSA. The number of binding site was approximately equal to 1,the binding distance was 1.97 nm,the energy transfer efficiency was 0.529,and the binding force was mainly hydrophobic force.Conclusion Troxerutin effectively quenchs the intrinsic fluorescence of BSA via static quenching mechanism,and the binding is mainly driven by the hydrophobic interaction.
3.Simultaneous determination of plantainoside D and verbascoside from stem of Chirita longgangensis var. hongyao by RP-HPLC.
Manyuan WANG ; Yuanjie FAN ; Jing ZHANG ; Muxin GONG
China Journal of Chinese Materia Medica 2010;35(23):3188-3191
OBJECTIVETo establish a RP-HPLC method for simultaneous determination of phenylethanoid glycosides plantainoside D and verbascoside in Chirita longgangensis var. hongyao.
METHODThe analysis was performed on a Agilent C18 column (4.6 mm x 250 mm, 5 microm) with CH3CN-1% HAc (16:84)as mobile phase at a flow rate of 1.0 mL x min(-1), and at a column temperature of 30 degrees C. The detection wave length was 332 nm.
RESULTThe linear ranges of calibration of plantainoside D and verbascoside were 3.125-100.00 mg x L(-1) (r = 0.9998) and 25.00-500.0 mg x L(-1) (r = 0.9998). The average recoveries were 101.3% and 100.8% with RSD of 2.6% and 2.2% (n=9), respectively.
CONCLUSIONThe method is simple, accurate, reliable and can be used for the quality evaluation of C. longgangensis var. hongyao and its preparation.
Chromatography, High Pressure Liquid ; methods ; Chromatography, Reverse-Phase ; methods ; Coumaric Acids ; analysis ; Disaccharides ; analysis ; Glucosides ; analysis ; Magnoliopsida ; chemistry ; Phenols ; analysis ; Plant Extracts ; analysis ; Plant Stems ; chemistry
4.Analysis of 572 Cases of Drug-induced Liver Injury Induced by Anti-infective Agents
Man ZHU ; Daihong GUO ; Luwen SHI ; Sheng HAN ; Zhao REN ; Le CAI ; Chao FAN ; Chao CHEN ; Liang MA ; Yuanjie XU
China Pharmacy 2015;(26):3663-3666
OBJECTIVE:To investigate the condition and characteristics of drug-induced liver injury (DILI) of anti-infective agents and provide reference for the prevention and treatment of anti-infective agents related DILI. METHODS:Based on retrospective analysis,a total of 572 DILI reports of anti-infective agents were collected from PLA ADR monitoring center during 2009 to 2013, and then analyzed statistically in terms of patient’s age and gender,main diagonosis,categories of DILI-inducing drugs,type,route of administration,occurrence time,lab indicator,DILI types and clinical manifestations,the application of liver protective drugs,out-comes,etc. RESULTS:Among 572 DILI cases,there were 412 cases(72.03%)of male patients and 160 cases(27.97%)of female patients,and average age of the patients was(44.54±23.75)years old. ADRs were related to 57 kinds of anti-infective agents in 6 cat-egories. Rifampin was the most frequent in suspected drugs,followed by isoniazid,moxifloxacin,fluconazole,azithromycin,cefurox-ime, cefoperazone/sulbactam, levofloxacin, cefoxitin and voriconazole. Intravenous infusion was the main administration route (74.48%). The occurrence time of ADRs was mainly within two weeks (86.19%). Hepatocellular damage (93.33%) was the main type in 360 cases of ADR for evaluation of liver injury types. The majority of cases(82.17%)were cured or improved after drug with-drawal and symptomatic treatment. CONCLUSIONS:Cephalosporin,fluoroquinolones,antituberculosis and antifungal drugs might be the common agents which caused liver injury. Hepatocellular damage is the most frequent type. Most of patients have a favourable prognosis. Clinical medical staffs should strengthen the awareness of DILI caused by anti-infective agents and ehance the prevetion of it.
5.Multimorbidity patterns and association with mortality in 0.5 million Chinese adults.
Junning FAN ; Zhijia SUN ; Canqing YU ; Yu GUO ; Pei PEI ; Ling YANG ; Yiping CHEN ; Huaidong DU ; Dianjianyi SUN ; Yuanjie PANG ; Jun ZHANG ; Simon GILBERT ; Daniel AVERY ; Junshi CHEN ; Zhengming CHEN ; Jun LYU ; Liming LI
Chinese Medical Journal 2022;135(6):648-657
BACKGROUND:
Few studies have assessed the relationship between multimorbidity patterns and mortality risk in the Chinese population. We aimed to identify multimorbidity patterns and examined the associations of multimorbidity patterns and the number of chronic diseases with the risk of mortality among Chinese middle-aged and older adults.
METHODS:
We used data from the China Kadoorie Biobank and included 512,723 participants aged 30 to 79 years. Multimorbidity was defined as the presence of two or more of the 15 chronic diseases collected by self-report or physical examination at baseline. Multimorbidity patterns were identified using hierarchical cluster analysis. Cox regression was used to estimate the associations of multimorbidity patterns and the number of chronic diseases with all-cause and cause-specific mortality.
RESULTS:
Overall, 15.8% of participants had multimorbidity. The prevalence of multimorbidity increased with age and was higher in urban than rural participants. Four multimorbidity patterns were identified, including cardiometabolic multimorbidity (diabetes, coronary heart disease, stroke, and hypertension), respiratory multimorbidity (tuberculosis, asthma, and chronic obstructive pulmonary disease), gastrointestinal and hepatorenal multimorbidity (gallstone disease, chronic kidney disease, cirrhosis, peptic ulcer, and cancer), and mental and arthritis multimorbidity (neurasthenia, psychiatric disorder, and rheumatoid arthritis). During a median of 10.8 years of follow-up, 49,371 deaths occurred. Compared with participants without multimorbidity, cardiometabolic multimorbidity (hazard ratios [HR] = 2.20, 95% confidence intervals [CI]: 2.14 - 2.26) and respiratory multimorbidity (HR = 2.13, 95% CI:1.97 - 2.31) demonstrated relatively higher risks of mortality, followed by gastrointestinal and hepatorenal multimorbidity (HR = 1.33, 95% CI:1.22 - 1.46). The mortality risk increased by 36% (HR = 1.36, 95% CI: 1.35 - 1.37) with every additional disease.
CONCLUSION
Cardiometabolic multimorbidity and respiratory multimorbidity posed the highest threat on mortality risk and deserved particular attention in Chinese adults.
Aged
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Arthritis, Rheumatoid
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Asians
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China/epidemiology*
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Humans
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Hypertension
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Middle Aged
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Multimorbidity
6.Single-cell analysis reveals bronchoalveolar epithelial dysfunction in COVID-19 patients.
Jiangping HE ; Shuijiang CAI ; Huijian FENG ; Baomei CAI ; Lihui LIN ; Yuanbang MAI ; Yinqiang FAN ; Airu ZHU ; Huang HUANG ; Junjie SHI ; Dingxin LI ; Yuanjie WEI ; Yueping LI ; Yingying ZHAO ; Yuejun PAN ; He LIU ; Xiaoneng MO ; Xi HE ; Shangtao CAO ; FengYu HU ; Jincun ZHAO ; Jie WANG ; Nanshan ZHONG ; Xinwen CHEN ; Xilong DENG ; Jiekai CHEN
Protein & Cell 2020;11(9):680-687