1.Mycophenolate mofetil combined with low dose of hormone and lamivudine in the treatment of hepatitis B virus associated glomerulonephritis
Chengmin CAI ; Lin WEI ; Zhixin DUAN ; Wei WU ; Haitao ZONG
Chinese Journal of Postgraduates of Medicine 2011;34(31):1-4
Objective To assess the efficacy of mycophenolate mofetil (MMF) combined with low dose of hormone and lamivudine in the treatment of hepatitis B virus associated glomerulonephritis (HBV-GN).Methods The clinical data of 49 HBV-GN patients diagnosed by renal pathology was reviewed.They were treated with MMF( ≥ 12 years old,0.75 g,two times a day; < 12 years old,0.4 g/m2,two times a day),low dose of hormone [0.5 mg/(kg·d) ],lamivudine( ≥ 12 years old,100 mg/d; < 12 years old,3 mg/kg,two times a day).Results Among of 49 HBV-GN patients,clinical cure rate was 71.4%(35/49),the total effective rate was 81.6%(40/49),85.7%(42/49) patients' HBV DNA level decreased from 5.43 ×104 copies/ml to < 1000 copies/ml.The complete remission rate was 88.0% (22/25),the partial remission rate was 8.0% (2/25),the inefficiency was 4.0% (1/25) in membranous nephropathy (MN);the complete remission rate was 44.4% (4/9),the inefficiency was 55.6% (5/9) in mesangial proliferative glomerulone phritis (MsPGN) ; the complete remission rate was 70.0%(7/10); the partial remission rate was 30.0%(3/10)in membrane proliferative glomerulone phritis (MPGN) ;the complete remission rate was 40.0% (2/5),the inefficiency was 60.0%(3/5) in focal segmental glomerulosclerosts (FSGS).There was significant difference among the different pathological type (P<0.05).There were less adverse reactions.Conclusions MMF combined with low dose hormone and lamivudine is safe and effective in treating HBV-GN.The efficacy and pathological type has some relationship,MN has the best response,MPGN and MsPGN are second,FSGS is poor.
2.Characteristics of the sleep structures of patients with both chronic insomnia and obstructive sleep apnea in plateau area
Qiong LI ; Lijuan HAO ; Heyong SHEN ; Jing AN ; Lei FENG ; Zhenguo CHEN ; Chengmin DUAN
Chinese Journal of Health Management 2021;15(3):233-236
Objective:To explore the characteristics of the sleep structures of patients with both chronic insomnia and obstructive sleep apnea (OSA) in plateau area.Methods:Polysomography Alice 5 was applied to 23 patients with primary chronic insomnia [insomnia group, age (48.2±9.9) years], 22 patients with both chronic insomnia and OSA [comorbidity group, age (46.8±8.9) years], who both came from Qinghai Red Cross Hospital between January, 2014 to June, 2015 and 20 subjects with normal sleep [healthy group, age (46.2±7.1) years] in plateau area (mainly in Xining, altitude 2 250 meters or above) to compare and explore their sleep structures by the whole night sleep monitoring in the sleep monitoring room. The sleep structures were compared according to the American Academy of Sleep Medicine (AASM) Manual for the Scoring of Sleep and Associated Events.Results:Compared to healthy group, insomnia group and comorbidity group both had significantly lower sleep efficiency [(62.4%±16.7%), (59.8%±16.0%) vs (80.9%±8.8%)], non-rapid eye movement (NREM) phase 2 sleep ratio [(37.9%±12.2%), (36.2%±12.5%) vs (49.7%±6.2%)] and rapid eye movement (REM) sleep ratio [(7.7%±4.0%), (6.5%±4.0%) vs (12.5%±4.6%)] (all P<0.05); comorbidity group had a significantly higher oxygen desaturation index than insomnia group and healthy group [(30.8±29.2) vs (7.9±7.5), (5.9±2.7) times/h] ( P<0.05); insomnia group′s sleep latency of NREM3 stage was significantly longer than comorbidity group and healthy group [(148.9±113.6) vs (89.3±51.8), (59.1±40.3) min] (both P<0.05). Conclusion:Patients with both chronic insomnia and OSA and patients with chronic insomnia only in plateau area have different sleep structures, and both of their sleep quality are lower than the people with normal sleep; patients with both chronic insomnia and OSA could enter deep sleep more quickly after sleep onset.
3.The Global Landscape of SARS-CoV-2 Genomes, Variants, and Haplotypes in 2019nCoVR
Song SHUHUI ; Ma LINA ; Zou DONG ; Tian DONGMEI ; Li CUIPING ; Zhu JUNWEI ; Chen MEILI ; Wang ANKE ; Ma YINGKE ; Li MENGWEI ; Teng XUFEI ; Cui YING ; Duan GUANGYA ; Zhang MOCHEN ; Jin TONG ; Shi CHENGMIN ; Du ZHENGLIN ; Zhang YADONG ; Liu CHUANDONG ; Li RUJIAO ; Zeng JINGYAO ; Hao LILI ; Jiang SHUAI ; Chen HUA ; Han DALI ; Xiao JINGFA ; Zhang ZHANG ; Zhao WENMING ; Xue YONGBIAO ; Bao YIMING
Genomics, Proteomics & Bioinformatics 2020;18(6):749-759
On January 22, 2020, China National Center for Bioinformation (CNCB) released the 2019 Novel Coronavirus Resource (2019nCoVR), an open-access information resource for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). 2019nCoVR features a comprehensive integra-tion of sequence and clinical information for all publicly available SARS-CoV-2 isolates, which are manually curated with value-added annotations and quality evaluated by an automated in-house pipeline. Of particular note, 2019nCoVR offers systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global scale. It provides all identified variants and their detailed statistics for each virus isolate, and congregates the quality score, functional annotation,and population frequency for each variant. Spatiotemporal change for each variant can be visualized and historical viral haplotype network maps for the course of the outbreak are also generated based on all complete and high-quality genomes available. Moreover, 2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on the coronavirus disease 2019 (COVID-19), including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe PMC. Furthermore, by linking with relevant databases in CNCB, 2019nCoVR offers data submission services for raw sequence reads and assembled genomes, and data sharing with NCBI. Collectively, SARS-CoV-2 is updated daily to collect the latest information on genome sequences, variants, hap-lotypes, and literature for a timely reflection, making 2019nCoVR a valuable resource for the global research community. 2019nCoVR is accessible at https://bigd.big.ac.cn/ncov/.