1.Predication values of white blood cell following chemotherapy in older patients with acutemyeloid leukemia
Xiaotao WANG ; Beili CHEN ; Wenyuan LIN ; Feng LIU ; Hong WU ; Donghua MO
Clinical Medicine of China 2009;25(6):573-576
Objective To explore the predictive value of Kinetics of white blood cell (WBC) elimination following induction chemotherapy for eider with acute myeloid leukemia(AML). Methods 71 elder with AML were reviewed. Chi-square and the Kaplan-Meier methods were used to identify the relationship between the nadir WBC count and time to WBC nadir with efficacy and survival. Results 28 patients (39.44%) achieved a complete re-mission(CR),another 19 (26.76%) had a partial remission,17(23.94%) patients had a non-remission,and 7 pa-tients(9.86%)died. Overall survival over 3 years was about 11.27% (8 cases),over 2 years about 23.94 % (17 cases),and over 1 years about 47.89 % (34 cases). The low WBC nadir and high WBC nadir in the bone marrow CR (9.86% and 12.68%)and the total survival rate (8.45% and 11.27%)were lower than the median absolute WBC nadir (16.90%, 15.49%), but were no statistical discrepancy (χ23.32,1.22, P=0.77, 0.54). The pa-tients who achieved WBC nadir in less than or equal to 10 days in the bone marrow CR(12.68%) and the total sur-vival rate(8.45%) were statistical significantly higher than those achieved it in greater than 10 days(26.76%). The patients whose WBC attained at low level less than or equal to 3 days in the bone marrow CR(16.90%) and the total survival rate(12.68%) were statistical significantly higher than those greater than 3 days (22.54%) (χ2 15, 57,11.71,4.85,9.54,P=0.001,0.01,0.03,0.04). Conclusion WBC nadir in loss than or equal to 10 days and WBC attained at low level greater than 3 days may serve as a worse prognosis.
2.Association of F ⅩⅢ Val34Leu with coronary heart disease
Beili FENG ; Geng XU ; Guodong JIN ; Yuping SHI ; Guosheng FU ; Ji MA ; Jiang SHAN
Chinese Journal of Pathophysiology 2000;0(10):-
0.05)). The Val/Leu genotype and Leu allele frequencies in subjects without MI were significantly higher than that in subjects with MI (P
3.A multicenter study on the establishment and validation of autoverification rules for coagulation tests
Linlin QU ; Jun WU ; Wei WU ; Beili WANG ; Xiangyi LIU ; Hong JIANG ; Xunbei HUANG ; Dagan YANG ; Yongzhe LI ; Yandan DU ; Wei GUO ; Dehua SUN ; Yuming WANG ; Wei MA ; Mingqing ZHU ; Xian WANG ; Hong SUI ; Weiling SHOU ; Qiang LI ; Lin CHI ; Shuang LI ; Xiaolu LIU ; Zhuo WANG ; Jun CAO ; Chunxi BAO ; Yongquan XIA ; Hui CAO ; Beiying AN ; Fuyu GUO ; Houmei FENG ; Yan YAN ; Guangri HUANG ; Wei XU
Chinese Journal of Laboratory Medicine 2020;43(8):802-811
Objective:To establish autoverification rules for coagulation tests in multicenter cooperative units, in order to reduce workload for manual review of suspected results and shorten turnaround time (TAT) of test reports, while ensure the accuracy of results.Methods:A total of 14 394 blood samples were collected from fourteen hospitals during December 2019 to March 2020. These samples included: Rules Establishment Group 11 230 cases, including 1 182 cases for Delta check rules; Rules Validation Group 3 164 cases, including 487cases for Delta check; Clinical Application Trial Group 77 269 cases. Samples were analyzed for coagulation tests using Sysmex CS series automatic coagulation analyzers, and the clinical information, instrument parameters, test results, clinical diagnosis, medication history of anticoagulant and other relative results such as HCT, TG, TBIL, DBIL were summarized; on the basis of historical data, the 2.5 and 97.5 percentile of all data arranged from low to high were initially accumulated; on the basis of clinical suggestions, critical values and specific drug use as well as relative guidelines, autoverification rules and limits were established.The rules were then input into middleware, in which Stage I/Stage II validation was done. Positive coincidence, negative coincidence, false negative, false positive, autoverification pass rate, passing accuracy (coincidence of autoverification and manual verification) were calculated. Autoverification rules underwent trial application in coagulation results reports.Results:(1) The autoverification algorisms involve 33 rules regarding PT/INR, APTT, FBG, D-dimer, FDP,Delta check, reaction curve and sample abnormalities; (2)Autoverification Establishment Group showed autoverification pass rate was 68.42% (7 684/11 230), the false negative rate was 0%(0/11230), coincidence of autoverification and manual verification was 98.51%(11 063/11 230), in which positive coincidence and negative coincidence were respectively 30.09% (3 379/11 230) and 68.42%(7 684/11 230); Autoverification Validation Group showed autoverification pass rate was 60.37%(1 910/3 164), the false negative rate was 0%(0/11 230), coincidence of autoverification and manual verification was 97.79%(3 094/3 164), in which positive coincidence and negative coincidence were respectively 37.42%(1 184/3 164) and 60.37%(1 910/3 164); (3) Trialed implementation of these autoverification rules on 77 269 coagulation samples showed that the average TAT shortened by 8.5 min-83.1 min.Conclusions:This study established 33 autoverification rules in coagulation tests. Validation showedthese rules could ensure test quality while shortening TAT and lighten manual workload.
4.High-throughput screening of SARS-CoV-2 main and papain-like protease inhibitors.
Yi ZANG ; Mingbo SU ; Qingxing WANG ; Xi CHENG ; Wenru ZHANG ; Yao ZHAO ; Tong CHEN ; Yingyan JIANG ; Qiang SHEN ; Juan DU ; Qiuxiang TAN ; Peipei WANG ; Lixin GAO ; Zhenming JIN ; Mengmeng ZHANG ; Cong LI ; Ya ZHU ; Bo FENG ; Bixi TANG ; Han XIE ; Ming-Wei WANG ; Mingyue ZHENG ; Xiaoyan PAN ; Haitao YANG ; Yechun XU ; Beili WU ; Leike ZHANG ; Zihe RAO ; Xiuna YANG ; Hualiang JIANG ; Gengfu XIAO ; Qiang ZHAO ; Jia LI
Protein & Cell 2023;14(1):17-27
The global COVID-19 coronavirus pandemic has infected over 109 million people, leading to over 2 million deaths up to date and still lacking of effective drugs for patient treatment. Here, we screened about 1.8 million small molecules against the main protease (Mpro) and papain like protease (PLpro), two major proteases in severe acute respiratory syndrome-coronavirus 2 genome, and identified 1851Mpro inhibitors and 205 PLpro inhibitors with low nmol/l activity of the best hits. Among these inhibitors, eight small molecules showed dual inhibition effects on both Mpro and PLpro, exhibiting potential as better candidates for COVID-19 treatment. The best inhibitors of each protease were tested in antiviral assay, with over 40% of Mpro inhibitors and over 20% of PLpro inhibitors showing high potency in viral inhibition with low cytotoxicity. The X-ray crystal structure of SARS-CoV-2 Mpro in complex with its potent inhibitor 4a was determined at 1.8 Å resolution. Together with docking assays, our results provide a comprehensive resource for future research on anti-SARS-CoV-2 drug development.
Humans
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Antiviral Agents/chemistry*
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COVID-19
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COVID-19 Drug Treatment
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High-Throughput Screening Assays
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Molecular Docking Simulation
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Protease Inhibitors/chemistry*
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SARS-CoV-2/enzymology*
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Viral Nonstructural Proteins