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Xu D, Tu M, Zhang K, Wu PF, Lyu N, Wang QQ, Yin J, Wu Y, Lu ZP, Chen JM, Xi CH, Wei JS, Guo F, Miao Y, Jiang KR. [Short-term outcomes of the TRIANGLE operation after neoadjuvant chemotherapy in locally advanced pancreatic cancer]. Zhonghua Wai Ke Za Zhi 2024; 62:147-154. [PMID: 38310383 DOI: 10.3760/cma.j.cn112139-20230615-000234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/05/2024]
Abstract
Objective: To investigate the safety and efficacy of the TRIANGLE operation after neoadjuvant chemotherapy in locally advanced pancreatic cancer(LAPC). Methods: This study is a retrospective case series analysis. Between January 2020 and December 2022, a total of 103 patients were diagnosed as LAPC who underwent neoadjuvant chemotherapy at the Pancreas Center, the First Affiliated Hospital of Nanjing Medical University. Among them, 26 patients (25.2%) underwent the TRIANGLE operation. There were 15 males and 11 females,with a age of (59±7) years (range: 49 to 74 years). The pre-treatment serum CA19-9(M(IQR)) was 248.8(391.6)U/ml (range: 0 to 1 428 U/ml),and the serum carcinoembryonic antigen was 4.1(3.8)μg/L(range: 1.4 to 13.4 μg/L). The neoadjuvant chemotherapy regimens included: mFOLFIRINOX regimen in 6 cases(23.1%), GnP regimen in 14 cases(53.8%), and mFOLFIRINOX+GnP regimen in 6 cases(23.1%). The follow-up duration extended until June 2023 or until the occurrence of the patient's death or loss to follow-up. The Kaplan-Meier method was employed to estimate the 1-year and 3-year overall survival rates. Results: After neoadjuvant chemotherapy,CA19-9 levels decreased by 92.3(40.1)%(range:2.1% to 97.7%). Evaluation of the response to treatment revealed 13 cases(50.0%) of stable disease,11 cases(42.3%) of partial response,and 2 cases(7.7%) of complete response. The surgical operation consisted of 12 cases(46.2%) of pancreaticoduodenectomy,12 cases(46.2%) of distal pancreatectomy,and 2 cases(7.7%) of total pancreatectomy. Margin determination was based on the "standardised pathology protocol" and the "1 mm" principle. No R2 and R1(direct) resections were observed,while the R0 resection rate was 61.5%(16/26), and the R1(1 mm) resection rate was 38.5%(10/26).The R1(1 mm) resection rates for the anterior margin,posterior margin,transected margin,portal vein groove margin,and uncinate margin were 23.1%(6/26),19.2%(5/26),12.5%(3/24),2/14, and 1/12, respectively. The overall postoperative complication rate was 57.8%(15/26),with major complications including grade B/C pancreatic fistula 25.0%(6/24,excluding 2 cases of total pancreatectomy),delayed gastric emptying in 23.1%(6/26),wound complications 11.5%(3/26),postoperative hemorrhage 7.7%(2/26), chylous fistula 7.7%(2/26) and bile fistula 3.8%(1/26). No reoperation was performed during the perioperative period(<90 days). One patient died on the 32nd day postoperatively due to a ruptured pseudoaneurysm. A total of 25 patients were followed up,with a follow-up time of 21(24)months(range: 8 to 42 months). During the follow-up period,8 cases(32.0%) died due to tumor recurrence and metastasis,while 17 patients(68.0%) remained alive,including 11 cases of disease-free survival,5 cases of distant metastasis,and 1 case of local recurrence. The overall survival rates at 1- and 3-year after the initiation of neoadjuvant chemotherapy were 95.8% and 58.9%, respectively. The overall survival rates at 1- and 3-year after surgery were 77.7% and 57.8%, respectively. Conclusion: Performing pancreatoduodenectomy according to the Heidelberg triangle protocol in LAPC patients after neoadjuvant chemotherapy might increase the R0 resection rate without increasing perioperative mortality or the incidence of major postoperative complications.
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Affiliation(s)
- D Xu
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - M Tu
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - K Zhang
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - P F Wu
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - N Lyu
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Q Q Wang
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - J Yin
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Y Wu
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Z P Lu
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - J M Chen
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - C H Xi
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - J S Wei
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - F Guo
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Y Miao
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - K R Jiang
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
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Wang Y, Xu X, Zhu B, Lyu N, Liu Y, Ma S, Jia S, Wan B, Du Y, Zhang G, Gao GF. Genomic analysis of almost 8,000 Salmonella genomes reveals drivers and landscape of antimicrobial resistance in China. Microbiol Spectr 2023; 11:e0208023. [PMID: 37787535 PMCID: PMC10714754 DOI: 10.1128/spectrum.02080-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 08/14/2023] [Indexed: 10/04/2023] Open
Abstract
IMPORTANCE We established the largest Salmonella genome database from China and presented the landscape and spatiotemporal dynamics of antimicrobial resistance genes. We also found that economic, climatic, and social factors can drive the rise of antimicrobial resistance. The Chinese local Salmonella genome database version 2 was released as an open-access database (https://nmdc.cn/clsgdbv2) and thus can assist surveillance studies across the globe. This database will help inform interventions for AMR, food safety, and public health.
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Affiliation(s)
- Yanan Wang
- International Joint Research Center of National Animal Immunology, College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
- Longhu Laboratory of Advanced Immunology, Zhengzhou, Henan, China
| | - Xuebin Xu
- Department of Microbiology, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Baoli Zhu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
- Beijing Key Laboratory of Antimicrobial Resistance and Pathogen Genomics, Beijing, China
- Department of Pathogenic Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, China
| | - Na Lyu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Yue Liu
- Department of Microbiology, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Sufang Ma
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Shulei Jia
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Bo Wan
- International Joint Research Center of National Animal Immunology, College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, China
- Longhu Laboratory of Advanced Immunology, Zhengzhou, Henan, China
| | - Yongkun Du
- International Joint Research Center of National Animal Immunology, College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, China
- Longhu Laboratory of Advanced Immunology, Zhengzhou, Henan, China
| | - Gaiping Zhang
- Longhu Laboratory of Advanced Immunology, Zhengzhou, Henan, China
| | - George F. Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
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Chen M, Lin GR, Wang GY, Yang L, Lyu N, Qian C, Lan JX, Zhou Y, Zhong BL. Stigma toward mental disorders and associated factors among community mental health workers in Wuhan, China. Asia Pac Psychiatry 2023; 15:e12542. [PMID: 37517868 DOI: 10.1111/appy.12542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/02/2023] [Accepted: 07/09/2023] [Indexed: 08/01/2023]
Abstract
BACKGROUND Stigma toward mental disorders (STMD) is a significant barrier to mental health service delivery. To improve the provision of mental health services for community-dwelling residents in China, this study investigated STMD and its associated factors in community mental health workers (CMHWs) in Wuhan, China. METHODS In this cross-sectional study, a total of 3869 CMHWs (22.9% men and 37.1 ± 8.4 years old) were randomly selected through multistage sampling and invited to participate in this survey. The perceived devaluation-discrimination scale (PDD) and the National Mental Health Literacy Questionnaire (NMHLQ) were used to assess STMD and mental health knowledge, respectively. The presence of STMD was indicated by a mean item score of 3.0 or higher on the PDD. Multiple logistic regression was used to identify factors associated with STMD. RESULTS Of the CMHWs, 41.9% had poor mental health knowledge (NMHLQ score < 80), and 18.5% exhibited STMD. In multiple regression analysis, factors significantly associated with STMD were social workers (vs. primary care physicians, OR = 1.44, p < .001), poor self-rated capacity to handle common mental health problems (vs. good, OR = 1.57, p < .001), and poor mental health knowledge (vs. NMHLQ score ≥ 80, OR = 1.46, p < .001). CONCLUSION STMD is common among Chinese CMHWs. To reduce STMD among CMHWs, training programs in mental health care skills and mental health education may be necessary.
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Affiliation(s)
- Mo Chen
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China
- Department of Psychiatry, Wuhan Hospital for Psychotherapy, Wuhan, China
| | - Guo-Rong Lin
- Department of Psychiatric Rehabilitation Ward 1, Wuhan Mental Health Center, Wuhan, China
- Department of Psychiatric Rehabilitation Ward 1, Wuhan Hospital for Psychotherapy, Wuhan, China
| | - Gui-Yang Wang
- Wuhan Institute for Tuberculosis Control, Wuhan Pulmonary Hospital, Wuhan, China
| | - Li Yang
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China
- Department of Psychiatry, Wuhan Hospital for Psychotherapy, Wuhan, China
| | - Na Lyu
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China
- Department of Psychiatry, Wuhan Hospital for Psychotherapy, Wuhan, China
| | - Chen Qian
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China
- Department of Psychiatry, Wuhan Hospital for Psychotherapy, Wuhan, China
| | - Jing-Xi Lan
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China
- Department of Psychiatry, Wuhan Hospital for Psychotherapy, Wuhan, China
| | - Yang Zhou
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China
- Department of Psychiatry, Wuhan Hospital for Psychotherapy, Wuhan, China
| | - Bao-Liang Zhong
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China
- Department of Psychiatry, Wuhan Hospital for Psychotherapy, Wuhan, China
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Wu Y, Li X, Zhou Y, Gao R, Wang K, Ye H, Lyu N, Wang C, Zhang N, Wang Z, Fan Q. Efficacy and Cost-Effectiveness Analysis of Internet-Based Cognitive Behavioral Therapy for Obsessive-Compulsive Disorder: Randomized Controlled Trial. J Med Internet Res 2023; 25:e41283. [PMID: 37223977 DOI: 10.2196/41283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 04/06/2023] [Accepted: 04/20/2023] [Indexed: 05/25/2023] Open
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is a common and chronic mental illness with a high rate of disability. Internet-based cognitive behavioral therapy (ICBT) makes online treatment available to patients and has been shown to be effective. However, 3-arm trials on ICBT, face-to-face cognitive behavioral group therapy (CBGT), and only medication are still lacking. OBJECTIVE This study is a randomized, controlled, assessor-blinded trial of 3 groups for OCD: ICBT combined with medication, CBGT combined with medication, and conventional medical treatment (ie, treatment as usual [TAU]). The study aims to investigate the efficacy and cost-effectiveness of ICBT related to CBGT and TAU for adults with OCD in China. METHODS In total, 99 patients with OCD were selected and randomly assigned to the ICBT, CBGT, and TAU groups for treatment for 6 weeks. The primary outcomes were the Yale-Brown Obsessive-Compulsive Scale (YBOCS) and the self-rating Florida Obsessive-Compulsive Inventory (FOCI), compared at baseline, during treatment (3 weeks), and after treatment (6 weeks), to analyze efficacy. The secondary outcome was the EuroQol Visual Analogue Scale (EQ-VAS) scores of the EuroQol 5D Questionnaire (EQ-5D). The cost questionnaires were recorded to analyze cost-effectiveness. RESULTS Repeated-measures ANOVA was used for data analysis, and the final effective sample size was 93 (ICBT: n=32, 34.4%; CBGT: n=28, 30.1%; TAU: n=33, 35.5%). After 6-week treatment, the YBOCS scores of the 3 groups significantly decreased (P<.001), and there were no significant differences among groups. The FOCI score of the ICBT (P=.001) and CBGT (P=.035) groups was significantly lower than that of the TAU group after treatment. The total cost of the CBGT group (renminbi [RMB] 6678.45, 95% CI 4460.88-8896.01 [US $1010.36, 95% CI 678.87-1345.84]) was significantly higher than that of the ICBT group (RMB 3308.81, 95% CI 2476.89-4140.73[US $500.58, 95% CI 374.72-626.43], P<.001) and the TAU group (RMB 2259.61, 95% CI 2074.16-2445.05 [US $341.85, 95% CI 313.79-369.90], P<.001) after treatment. The ICBT group spent RMB 303.19 (US $45.97) less than the CBGT group and RMB 11.57 (US $1.75) less than the TAU group for each unit reduction in the YBOCS score. CONCLUSIONS Therapist-guided ICBT combined with medication is as effective as face-to-face CBGT combined with medication for OCD. ICBT combined with medication is more cost-effective than CBGT combined with medication and conventional medical treatment. It is expected to become an efficacious and economic alternative for adults with OCD when face-to-face CBGT is not available. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR1900023840; https://www.chictr.org.cn/showproj.html?proj=39294.
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Affiliation(s)
- Yiwen Wu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xin Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuxin Zhou
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rui Gao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kaifeng Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huiling Ye
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Na Lyu
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chun Wang
- Department of Psychiatry, Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Ning Zhang
- Department of Psychiatry, Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Zhen Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center, Shanghai, China
| | - Qing Fan
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
- Mental Health Branch, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China
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Wang Y, Liu Y, Lyu N, Li Z, Ma S, Cao D, Pan Y, Hu Y, Huang H, Gao GF, Xu X, Zhu B. The temporal dynamics of antimicrobial-resistant- Salmonella enterica and predominant serovars in China. Natl Sci Rev 2022; 10:nwac269. [PMID: 37035020 PMCID: PMC10076184 DOI: 10.1093/nsr/nwac269] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 09/13/2022] [Accepted: 11/08/2022] [Indexed: 12/03/2022] Open
Abstract
Abstract
Salmonella enterica is one of the most common bacterial pathogens in humans and animals. Systematic studies on the trends and geographical distribution of antimicrobial-resistant-Salmonella and dominant serovars have been well studied in European and American countries while not in China. Here, taking the One-Health strategy, we used > 35,000 Salmonella enterica isolates to explore the temporal and spatial dynamics of dominant serovars in China. We found that Salmonella Typhimurium was the dominant serovar causing human infection in China, which was consistent with Australia and inconsistent with North American and European countries. The proportion of Salmonella serovars Typhimurium, London, Rissen, Corvallis, Meleagridis, Kentucky, and Goldcoast showed an increasing trend during 2006–2019. We randomly selected 1962 isolates for comparative genomics and antimicrobial resistance studies and found that the number of antibiotic resistance genes (ARGs) per isolate increased 1.84 and 2.69 times of human and non-human origins respectively, spanning 14 years. The proportion of antimicrobial-resistant-Salmonella isolates had an increasing trend during 2006–2019, especially the beta-lactam, quinolone, tetracycline, and rifampicin resistance. Moreover, we found that higher diversity of sequence types (STs) in S. Typhimurium than in other serovars, ST34 from pig and ST19 from chicken origin were mainly associated with isolates caused children and adult gastro-infection respectively. Our results fill in the data gap on the trends of dominant serovars and antimicrobial resistance of Salmonella enterica in China. These data provide useful information for public health decision-makers prioritizing interventions for foodborne diseases and food safety.
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Affiliation(s)
- Yanan Wang
- International Joint Research Center of National Animal Immunology, College of Veterinary Medicine, Henan Agricultural University , Zhengzhou 450046 , China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences , Beijing 100101 , China
| | - Yue Liu
- Department of Microbiology, Shanghai Municipal Center for Disease Control and Prevention , Shanghai 200336 , China
| | - Na Lyu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences , Beijing 100101 , China
| | - Zhiyuan Li
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences , Beijing 100101 , China
| | - Sufang Ma
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences , Beijing 100101 , China
| | - Demin Cao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences , Beijing 100101 , China
- Savaid Medical School, University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Yuanlong Pan
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences , Beijing 100101 , China
| | - Yongfei Hu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University , Beijing 100193 , China
| | - Hua Huang
- Beijing Products Quality Supervision and Inspection Institute , Beijing 101300 , China
| | - George F Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences , Beijing 100101 , China
- Savaid Medical School, University of Chinese Academy of Sciences , Beijing 100049 , China
- Chinese Center for Disease Control and Prevention (China CDC) , Beijing 102206 , China
| | - Xuebin Xu
- Department of Microbiology, Shanghai Municipal Center for Disease Control and Prevention , Shanghai 200336 , China
| | - Baoli Zhu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences , Beijing 100101 , China
- Savaid Medical School, University of Chinese Academy of Sciences , Beijing 100049 , China
- Beijing Key Laboratory of Antimicrobial Resistance and Pathogen Genomics , Beijing 100101 , China
- Department of Pathogenic Biology, School of Basic Medical Sciences, Southwest Medical University , Luzhou 646000 , China
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Zhao M, Wang X, Lyu N, Chen Q, Jiang X, Hu Y, He M, Lai J. 133TiP An open label pilot study to evaluate efficacy and safety of durvalumab with hepatic artery infusion chemotherapy (HAIC) in advanced hepatocellular (aHCC) patients with severe portal vein tumor thrombosis (PVTT) (Vp3 and/or Vp4): DurHope. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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Shi Z, Chen L, Li B, Zhu B, Lyu N. [Comparative analysis of different fecal DNA extraction methods]. Sheng Wu Gong Cheng Xue Bao 2022; 38:3542-3550. [PMID: 36151820 DOI: 10.13345/j.cjb.220085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The community structure and diversity of the gut microbiota are associated with human diseases. However, the analysis of different community structure might be influenced by experimental approaches such as the quality of DNA extraction. Therefore, evaluating the efficiency of different DNA extraction methods for specific intestinal species is a guideline for obtaining a comprehensive human gut microbial profile, which may assist the in-depth investigation into the structure of the gut microbial community. The aim of this study was to perform a comparative analysis of five different DNA extraction methods. With the aid of qPCR, the efficiency of five DNA extraction kits was evaluated in terms of the purity of the extracted DNA, the DNA concentration, and the abundance of genomic DNA extracted from specific intestinal species. The results showed that the kit Q gave the best extraction results, especially for Gram-positive bacteria such as Lactobacillus and Bifidobacterium. The average DNA concentration of the N kit was lower than that of the Q kit, but there was no significant difference between the two in terms of the purity. Compared to the other three commercial kits (M, PSP, TG), the efficiency of the N kit in extracting the genomic DNA of the specified microorganisms were the least different from those of the Q kit. In contrast, the DNA extracted by the M kit was of higher quality but of lower concentration, and was not very efficient for Gram-positive bacteria. The DNA extracted by the TG and PSP kits was inferior to the other validated kits in terms of the concentration, quality and bacterial abundance. These results provide a basis for the selection of genomic DNA extraction methods in microecological research experiments.
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Affiliation(s)
- Zhiyuan Shi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Luping Chen
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Boxing Li
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Baoli Zhu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Na Lyu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
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Xi J, Gao Y, Lyu N, She Z, Wang X, Zhang XA, Yu X, Ji W, Wei M, Dai W, Qian X. Correction: Effect of the "Art Coloring" Online Coloring Game on Subjective Well-Being Increase and Anxiety Reduction During the COVID-19 Pandemic: Development and Evaluation. JMIR Serious Games 2022; 10:e41253. [PMID: 35973213 PMCID: PMC9428781 DOI: 10.2196/41253] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- JuZhe Xi
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - YuHan Gao
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Na Lyu
- Xinhua Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China
| | - Zhuang She
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - XinYue Wang
- College of Letters and Science, University of California, Berkeley, CA, United States
| | - Xin-An Zhang
- Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai, China
| | - XiaoYu Yu
- School of Management, Shanghai University, Shanghai, China
| | - WeiDong Ji
- Affiliated Mental Health Center (ECNU), Shanghai Changning Mental Health Center, Shanghai, China
| | - MengSheng Wei
- School of Management, Fudan University, Shanghai, China
| | - WeiHui Dai
- School of Management, Fudan University, Shanghai, China
| | - XueSheng Qian
- School of Management, Fudan University, Shanghai, China
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9
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Wu N, Feng YQ, Lyu N, Wang D, Yu WD, Hu YF. Fusobacterium nucleatum promotes colon cancer progression by changing the mucosal microbiota and colon transcriptome in a mouse model. World J Gastroenterol 2022; 28:1981-1995. [PMID: 35664967 PMCID: PMC9150058 DOI: 10.3748/wjg.v28.i18.1981] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 02/28/2022] [Accepted: 03/27/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Fusobacterium nucleatum (F. nucleatum) has long been known to cause opportunistic infections and has recently been implicated in colorectal cancer (CRC), which has attracted broad attention. However, the mechanism by which it is involved in CRC development is not fully understood.
AIM To explore its potential causative role in CRC development, we evaluated the colon pathology, mucosa barrier, colon microbiota and host transcriptome profile after F. nucleatum infection in an azoxymethane/dextran sulfate sodium salt (AOM/DSS) mouse model.
METHODS Three groups of mice were compared to reveal the differences, i.e., the control, AOM/DSS-induced CRC and AOM/DSS-FUSO infection groups.
RESULTS Both the AOM/DSS and AOM/DSS-FUSO groups exhibited a significantly reduced body weight and increased tumor numbers than the control group, and AOM/DSS mice with F. nucleatum infection showed the highest tumor formation ratio among the three groups. Moreover, the colon pathology was the most serious in the AOM/DSS-FUSO group. We found that the structure of the colon microbiota changed considerably after F. nucleatum infection; striking differences in mucosal microbial population patterns were observed between the AOM/DSS-FUSO and AOM/DSS groups, and inflammation-inducing bacteria were enriched in the mucosal microbiota in the AOM/DSS-FUSO group. By comparing intestinal transcriptomics data from AOM vs AOM/DSS-FUSO mice, we showed that transcriptional activity was strongly affected by dysbiosis of the gut microbiota. The most microbiota-sensitive genes were oncogenes in the intestine, and the cyclic adenosine monophosphate signaling pathway, neuroactive ligand–receptor interaction, PPAR signaling pathway, retinol metabolism, mineral absorption and drug metabolism were highly enriched in the AOM/DSS-FUSO group. Additionally, we showed that microbial dysbiosis driven by F. nucleatum infection enriched eight taxa belonging to Proteobacteria, which correlates with increased expression of oncogenic genes.
CONCLUSION Our study demonstrated that F. nucleatum infection altered the colon mucosal microbiota by enriching pathogens related to the development of CRC, providing new insights into the role of F. nucleatum in the oncogenic microbial environment of the colon.
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Affiliation(s)
- Na Wu
- Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People’s Hospital, Beijing 100044, China
| | - Yu-Qing Feng
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Na Lyu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Di Wang
- Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People’s Hospital, Beijing 100044, China
| | - Wei-Dong Yu
- Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People’s Hospital, Beijing 100044, China
| | - Yong-Fei Hu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
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10
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Zhang J, Yuan P, Lei HZ, Liu XY, Li X, Ying JM, Sun GY, Wang SL, Lyu N. [Expression comparison and clinical significance of PD-L1 (22C3) and PD-L1 (SP142) in triple negative breast cancer]. Zhonghua Zhong Liu Za Zhi 2022; 44:260-267. [PMID: 35316876 DOI: 10.3760/cma.j.cn112152-20200803-00704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To investigate the expression of programmed death ligand-1 (PD-L1, SP142) and PD-L1 (22C3) in triple-negative breast cancer (TNBC), and analyze their correlation with the clinicopathological factors and prognosis. Methods: The clinicopathologic data of 259 patients with TNBC treated in Cancer Hospital from August 2010 to December 2013 were collected. Whole section of surgical tissue samples were collected to conduct PD-L1 (SP142) and PD-L1 (22C3) immunohistochemical (IHC) staining. The PD-L1 expression in tumor cells and tumor infiltrating immune cells were visually assessed respectively, the relationship between PD-L1 expression and clinicopathologic characterizes were analyzed. Univariable and multivariable Cox proportional hazards regression models were used to test the correlations between PD-L1 expression and disease-free survival (DFS) and overall survival (OS). Results: The positive rates of SP142 (immune cell score, ICs≥1%) and 22C3 (combined positive score, CPS≥1) were 42.1%(109/259) and 41.3%(107/259) in TNBC tissues, respectively, with a total coincidence rate of 82.3%. The Kappa value of positive expression cases was 0.571 and the distribution difference of SP142 and 22C3 positive expression cases was statistically significant (P<0.001). The PD-L1 positive patients were less likely to have vascular invasion (P<0.05), but with higher histological grade and Ki-67 proliferation index (P<0.05). The recurrence/metastasis cases(8) of the patients with positive PD-L1 (SP142) was significantly lower than that of patients with negative PD-L1(SP142, 27, P=0.016). The positive expression of PD-L1 (SP142) patients were longer DFS (P=0.019). The OS of patients with positive PD-L1 (SP142) were longer than those with negative PD-L1 (SP142), but without significance (P=0.116). The positive expression of PD-L1 (22C3) was marginally associated with DFS and OS of patients (P>0.05). Conclusions: The expression of PD-L1 (22C3) is different from that of PD-L1 (SP142) in TNBC, and the two antibodies can't be interchangeable for each other in clinical tests. PD-L1 (SP142) status is an independent prognostic factor of DFS in TNBC. The DFS is significantly prolonged in patients with positive expression of PD-L1 (SP142).
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Affiliation(s)
- J Zhang
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Yuan
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H Z Lei
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X Y Liu
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J M Ying
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - G Y Sun
- Department of Radiotherapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - S L Wang
- Department of Radiotherapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Lyu
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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11
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Xi J, Gao Y, Lyu N, She Z, Wang X, Zhang XA, Yu X, Ji W, Wei M, Dai W, Qian X. Let’s color: An online coloring game improves subjective well-being and reduces anxiety during the COVID-19 pandemic (Preprint). JMIR Serious Games 2022; 10:e37026. [PMID: 35575761 PMCID: PMC9273045 DOI: 10.2196/37026] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 04/24/2022] [Accepted: 05/13/2022] [Indexed: 11/27/2022] Open
Abstract
Background COVID-19 has spread worldwide and generated tremendous stress on human beings. Unfortunately, it is often hard for distressed individuals to access mental health services under conditions of restricted movement or even lockdown. Objective The study first aims to develop an online digital intervention package based on a commercially released coloring game. The second aim is to test the effectiveness of difference intervention packages for players to increase subjective well-being (SWB) and reduce anxiety during the pandemic. Methods An evidence-based coloring intervention package was developed and uploaded to an online coloring game covering almost 1.5 million players worldwide in January 2021. Players worldwide participated to color either 4 rounds of images characterized by awe, pink, nature, and blue or 4 rounds of irrelevant images. Participants' SWB and anxiety and the perceived effectiveness of the game in reducing anxiety (subjective effectiveness [SE]) were assessed 1 week before the intervention (T1), after the participants completed pictures in each round (T2-T5), and after the intervention (T6). Independent 2-tailed t tests were conducted to examine the general intervention (GI) effect and the intervention effect of each round. Univariate analysis was used to examine whether these outcome variables were influenced by the number of rounds completed. Results In total, 1390 players worldwide responded and completed at least 1 assessment. Overall, the GI group showed a statistical significantly greater increase in SWB than the general control (GC) group (N=164, t162=3.59, Cohen d=0.59, 95% CI 0.36-1.24, P<.001). Compared to the control group, the best effectiveness of the intervention group was seen in the awe round, in which the increase in SWB was significant (N=171, t169=2.51, Cohen d=0.39, 95% CI 0.10-0.82, P=.01), and players who colored all 4 pictures had nearly significant improvements in SWB (N=171, F4,170=2.34, partial ŋ2=0.053, P=.06) and a significant decrease in anxiety (N=171, F4,170=3.39, partial ŋ2=0.075, P=.01). Conclusions These data indicate the effectiveness of online psychological interventions, such as coloring games, for mental health in the specific period. They also show the feasibility of applying existing commercial games embedded with scientific psychological interventions that can fill the gap in mental crises and services for a wider group of people during the pandemic. The results would inspire innovations to prevent the psychological problems caused by public emergencies and encourage more games, especially the most popular ones, to take more positive action for the common crises of humankind.
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Affiliation(s)
- JuZhe Xi
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - YuHan Gao
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Na Lyu
- Xinhua Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China
| | - Zhuang She
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - XinYue Wang
- College of Letters and Science, University of California, Berkeley, CA, United States
| | - Xin-An Zhang
- Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai, China
| | - XiaoYu Yu
- School of Management, Shanghai University, Shanghai, China
| | - WeiDong Ji
- Affiliated Mental Health Center (ECNU), Shanghai Changning Mental Health Center, Shanghai, China
| | - MengSheng Wei
- School of Management, Fudan University, Shanghai, China
| | - WeiHui Dai
- School of Management, Fudan University, Shanghai, China
| | - Xuesheng Qian
- School of Management, Fudan University, Shanghai, China
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12
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Wang Y, Lyu N, Liu F, Liu WJ, Bi Y, Zhang Z, Ma S, Cao J, Song X, Wang A, Zhang G, Hu Y, Zhu B, Gao GF. More diversified antibiotic resistance genes in chickens and workers of the live poultry markets. Environ Int 2021; 153:106534. [PMID: 33799229 DOI: 10.1016/j.envint.2021.106534] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/15/2021] [Accepted: 03/16/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Poultry farms and LPMs are a reservoir of antimicrobial resistant bacteria and resistance genes from feces. The LPM is an important interface between humans, farm animals, and environments in a typical urban environment, and it is considered a reservoir for ARGs and viruses. However, the antibiotic resistomes shared between chicken farms and LPMs, and that of LPM workers and people who have no contact with the LPMs remains unknown. METHODS We characterized the resistome and bacterial microbiome of farm chickens and LPMs and LPM workers and control subjects. The mobile ARGs identified in chickens and the distribution of the mcr-family genes in publicly bacterial genomes and chicken gut metagenomes was analyzed, respectively. In addition, the prevalence of mcr-1 in LPMs following the ban on colistin-positive additives in China was explored. RESULTS By profiling the microbiomes and resistomes in chicken farms, LPMs, LPM workers, and LPM environments, we found that the bacterial community composition and resistomes were significantly different between the farms and the LPMs, and the LPM samples possessed more diversified ARGs (59 types) than the farms. Some mobile ARGs, such as mcr-1 and tet(X3), identified in chicken farms, LPMs, LPM workers, and LPM environments were also harbored by human clinical pathogens. Moreover, we found that the resistomes were significantly different between the LPM workers and those who have no contact with the LPMs, and more diversified ARGs (188 types) were observed in the LPM workers. It is also worth noting that mcr-10 was identified in both human (5.2%, 96/1,859) and chicken (1.5%, 14/910) gut microbiomes. Although mcr-1 prevalence decreased significantly in the LPMs across the eight provinces in China, from 190/333 (57.1%) samples in September 2016-March 2017 to 208/544 (38.2%) samples in August 2018-May 2019, it is widespread and continuous in the LPMs. CONCLUSION Live poultry trade has a significant effect on the diversity of ARGs in LPM workers, chickens, and environments in China, driven by human selection with the live poultry trade. Our findings highlight the live poultry trade as ARG disseminators into LPMs, which serve as an interface of LPM environments even LPM workers, and that could urge Government to have better control of LPMs in China. Further studies on the factors that promote antibiotic resistance exchange between LPM environments, human commensals, and pathogens, are warranted.
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Affiliation(s)
- Yanan Wang
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan 450046, China; CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Na Lyu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Fei Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - William J Liu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yuhai Bi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Center for Influenza Research and Early-warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing 100101, China
| | - Zewu Zhang
- Dongguan Municipal Center for Disease Control and Prevention, Dongguan 523129, China
| | - Sufang Ma
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jian Cao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xiaofeng Song
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Aiping Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Gaiping Zhang
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan 450046, China; School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Yongfei Hu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Baoli Zhu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China; Beijing Key Laboratory of Antimicrobial Resistance and Pathogen Genomics, Beijing 100101, China; Department of Pathogenic Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan 646000, China.
| | - George Fu Gao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Center for Influenza Research and Early-warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing 100101, China; Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China.
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Lyu N, Feng Y, Pan Y, Huang H, Liu Y, Xue C, Zhu B, Hu Y. Genomic Characterization of Salmonella enterica Isolates From Retail Meat in Beijing, China. Front Microbiol 2021; 12:636332. [PMID: 33897640 PMCID: PMC8058101 DOI: 10.3389/fmicb.2021.636332] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 03/16/2021] [Indexed: 12/13/2022] Open
Abstract
Salmonella enterica remains one of the leading causes of foodborne bacterial disease. Retail meat is a major source of human salmonellosis. However, comparative genomic analyses of S. enterica isolates from retail meat from different sources in China are lacking. A total of 341 S. enterica strains were isolated from retail meat in sixteen districts of Beijing, China, at three different time points (January 1st, May 1st, and October 1st) in 2017. Comparative genomics was performed to investigate the genetic diversity, virulence and antimicrobial resistance gene (ARG) profiles of these isolates. The most common serotype was S. Enteritidis (203/341, 59.5%), which dominated among isolates from three different time points during the year. Laboratory retesting confirmed the accuracy of the serotyping results predicted by the Salmonella In Silico Typing Resource (SISTR) (96.5%). The pangenome of the 341 S. enterica isolates contained 13,931 genes, and the core genome contained 3,635 genes. Higher Salmonella phage 118970 sal3 (219/341, 64.2%) and Gifsy-2 (206/341, 60.4%) prevalence contributed to the diversity of the accessory genes, especially those with unknown functions. IncFII(S), IncX1, and IncFIB(S) plasmid replicons were more common in these isolates and were major sources of horizontally acquired foreign genes. The virulence gene profile showed fewer virulence genes associated with type III secretion systems in certain isolates from chicken. A total of 88 different ARGs were found in the 341 isolates. Three beta-lactamases, namely, blaCTX–M–55 (n = 15), blaCTX–M–14 (n = 11), and blaCTX–M–65 (n = 11), were more prevalent in retail meats. The emergence of qnrE1 and blaCTX–M–123 indicated a potential increase in the prevalence of retail meats. After the prohibition of colistin in China, three and four isolates were positive for the colistin resistance genes mcr-1.1 and mcr-9, respectively. Thus, we explored the evolution and genomic features of S. enterica isolates from retail meats in Beijing, China. The diverse ARGs of these isolates compromise food security and are a clinical threat.
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Affiliation(s)
- Na Lyu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yuqing Feng
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yuanlong Pan
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Hua Huang
- Beijing Products Quality Supervision and Inspection Institute, Beijing, China
| | - Yan Liu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Chenyu Xue
- Beijing Municipal Center for Food Safety Monitoring and Risk Assessment, Beijing, China
| | - Baoli Zhu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yongfei Hu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
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14
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Wang Y, Li Z, Lyu N, Ma S, Liu F, Hu Y, Gao GF, Zhu B. Comparative genomic analysis of mobile colistin resistance gene mcr-9 in Salmonella enterica. J Infect 2021; 82:e15-e17. [DOI: 10.1016/j.jinf.2020.12.029] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 12/30/2020] [Indexed: 11/26/2022]
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15
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Xu X, Gao Z, Yang F, Yang Y, Chen L, Han L, Zhao N, Xu J, Wang X, Ma Y, Shu L, Hu X, Lyu N, Pan Y, Zhu B, Zhao L, Tong X, Wang J. Antidiabetic Effects of Gegen Qinlian Decoction via the Gut Microbiota Are Attributable to Its Key Ingredient Berberine. Genomics Proteomics Bioinformatics 2020; 18:721-736. [PMID: 33359679 PMCID: PMC8377040 DOI: 10.1016/j.gpb.2019.09.007] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 08/19/2019] [Accepted: 09/29/2019] [Indexed: 12/15/2022]
Abstract
Gegen Qinlian Decoction (GQD), a traditional Chinese medicine (TCM) formula, has long been used for the treatment of common metabolic diseases, including type 2 diabetes mellitus. However, the main limitation of its wider application is ingredient complexity of this formula. Thus, it is critically important to identify the major active ingredients of GQD and to illustrate mechanisms underlying its action. Here, we compared the effects of GQD and berberine, a hypothetical key active pharmaceutical ingredient of GQD, on a diabetic rat model by comprehensive analyses of gut microbiota, short-chain fatty acids, proinflammatory cytokines, and ileum transcriptomics. Our results show that berberine and GQD had similar effects on lowering blood glucose levels, modulating gut microbiota, inducing ileal gene expression, as well as relieving systemic and local inflammation. As expected, both berberine and GQD treatment significantly altered the overall gut microbiota structure and enriched many butyrate-producing bacteria, including Faecalibacterium and Roseburia, thereby attenuating intestinal inflammation and lowering glucose. Levels of short-chain fatty acids in rat feces were also significantly elevated after treatment with berberine or GQD. Moreover, concentration of serum proinflammatory cytokines and expression of immune-related genes, including Nfkb1, Stat1, and Ifnrg1, in pancreatic islets were significantly reduced after treatment. Our study demonstrates that the main effects of GQD can be attributed to berberine via modulating gut microbiota. The strategy employed would facilitate further standardization and widespread application of TCM in many diseases.
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Affiliation(s)
- Xizhan Xu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zezheng Gao
- Department of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China; Beijing University of Chinese Medicine, Beijing 100029, China
| | - Fuquan Yang
- Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yingying Yang
- Department of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China; Beijing University of Chinese Medicine, Beijing 100029, China
| | - Liang Chen
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Lin Han
- Department of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Na Zhao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jiayue Xu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xinmiao Wang
- Department of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Yue Ma
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lian Shu
- University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Xiaoxi Hu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Na Lyu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yuanlong Pan
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Baoli Zhu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Linhua Zhao
- Department of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
| | - Xiaolin Tong
- Department of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China; Shenzhen Hospital, Guangzhou University of Chinese Medicine, Shenzhen 518034, China.
| | - Jun Wang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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16
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Pan Y, Fang Y, Song X, Lyu N, Chen L, Feng Y, Xu X, Zhu B, Hu Y. Co-occurrence of mcr-9, extended spectrum β-lactamase (ESBL) and AmpC genes in a conjugative IncHI2A plasmid from a multidrug-resistant clinical isolate of Salmonella diarizonae. J Infect 2020; 82:84-123. [PMID: 33188799 DOI: 10.1016/j.jinf.2020.11.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 11/06/2020] [Indexed: 11/26/2022]
Affiliation(s)
- Yuanlong Pan
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China
| | - Yuan Fang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China; Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Xiaofeng Song
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Na Lyu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China
| | - Luping Chen
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China
| | - Yuqing Feng
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xuebin Xu
- Department of Microbiology, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Baoli Zhu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China; Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China; Department of Pathogenic Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, China
| | - Yongfei Hu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China.
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Ying JM, Lyu N. [Current development, challenges and opportunities of tumor histopathological diagnosis in China]. Zhonghua Bing Li Xue Za Zhi 2020; 49:1097-1101. [PMID: 33152811 DOI: 10.3760/cma.j.cn112151-20200410-00306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- J M Ying
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Lyu
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Pan Y, Fang Y, Feng Y, Lyu N, Chen L, Li J, Xu X, Zhu B, Hu Y. Discovery of mcr-3.1 gene carried by a prophage located in a conjugative IncA/C2 plasmid from a Salmonella Choleraesuis clinical isolate. J Infect 2020; 82:414-451. [PMID: 33007341 DOI: 10.1016/j.jinf.2020.09.036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 09/10/2020] [Accepted: 09/12/2020] [Indexed: 02/02/2023]
Affiliation(s)
- Yuanlong Pan
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China
| | - Yuan Fang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China
| | - Yuqing Feng
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Na Lyu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China
| | - Luping Chen
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China
| | - Jing Li
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China
| | - Xuebin Xu
- Department of Microbiology, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Baoli Zhu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China; Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China; Department of Pathogenic Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan Province, China
| | - Yongfei Hu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China.
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Luo D, Lyu N, Liao LM, Gao Q, Li YK, Li J, Liu X, Li XM, Yang GY, Ye YQ, Hu QF, Dong M. [A new antiviral isoquinoline alkaloid from Thalictrum glandulosissimum]. Zhongguo Zhong Yao Za Zhi 2020; 45:2568-2570. [PMID: 32627490 DOI: 10.19540/j.cnki.cjcmm.20200229.203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
A new isoquinoline alkaloid(1) has been isolated from the whole plant of Thalictrum glandulosissimum by using various chromatographic techniques, including silica gel, sephadex, MCI-gel resin, and RP-HPLC, and its structure was determined as 1-(6-hydroxy-7-methylisoquinolin-1-yl) ethantone by physicochemical properties and spectroscopic data. This compound was evaluated for anti-tobacco mosaic virus(TMV) activity. The results showed that it had prominent anti-TMV activity with inhibition rates of 28.4%. This rate was closed to that of positive control.
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Affiliation(s)
- Dian Luo
- College of Chinese National Medicine, Yunnan Minzu University Kunming 650500, China Technology Center, China Tobacco Yunnan Industrial Co., Ltd. Kunming 650106, China
| | - Na Lyu
- College of Chinese National Medicine, Yunnan Minzu University Kunming 650500, China Technology Center, China Tobacco Yunnan Industrial Co., Ltd. Kunming 650106, China
| | - Ling-Min Liao
- College of Chinese National Medicine, Yunnan Minzu University Kunming 650500, China Technology Center, China Tobacco Yunnan Industrial Co., Ltd. Kunming 650106, China
| | - Qian Gao
- Technology Center, China Tobacco Yunnan Industrial Co., Ltd. Kunming 650106, China
| | - Yin-Ke Li
- College of Chinese National Medicine, Yunnan Minzu University Kunming 650500, China Technology Center, China Tobacco Yunnan Industrial Co., Ltd. Kunming 650106, China
| | - Jing Li
- Technology Center, China Tobacco Yunnan Industrial Co., Ltd. Kunming 650106, China
| | - Xin Liu
- Technology Center, China Tobacco Yunnan Industrial Co., Ltd. Kunming 650106, China
| | - Xue-Mei Li
- Technology Center, China Tobacco Yunnan Industrial Co., Ltd. Kunming 650106, China
| | - Guang-Yu Yang
- College of Chinese National Medicine, Yunnan Minzu University Kunming 650500, China Technology Center, China Tobacco Yunnan Industrial Co., Ltd. Kunming 650106, China
| | - Yan-Qing Ye
- College of Chinese National Medicine, Yunnan Minzu University Kunming 650500, China
| | - Qiu-Fen Hu
- College of Chinese National Medicine, Yunnan Minzu University Kunming 650500, China Technology Center, China Tobacco Yunnan Industrial Co., Ltd. Kunming 650106, China
| | - Miao Dong
- College of Chinese National Medicine, Yunnan Minzu University Kunming 650500, China
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20
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Xing N, Lyu N, Chen W. PDG7 Cost Minimization Analysis of Dexamethasone Intravitreal Implant and Ranibizumab for Rvo-Macular Edema in China. Value Health Reg Issues 2020. [DOI: 10.1016/j.vhri.2020.07.197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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21
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Rong LL, Xue LY, Xue XM, Li J, Lyu N. [The expression of p53 protein and its clinicopathological features and prognosis of esophageal spindle cell carcinoma]. Zhonghua Bing Li Xue Za Zhi 2020; 49:715-720. [PMID: 32610384 DOI: 10.3760/cma.j.cn112151-20200106-00014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the association of p53 protein expression with clinicopathological features and prognosis in esophageal spindle cell carcinoma. Methods: A total of 4 439 esophageal squamous cell carcinoma (ESCC) patients who underwent radical esophagectomy without neoadjuvant therapy between May 2010 and May 2019 were included. The HE slides and clinicopathological parameters were reviewed. Among these, there were 63 cases of esophageal spindle cell carcinoma; p53 protein expression was evaluated by immunohistochemistry (IHC) and its correlation with clinicopathological parameters and patients' outcome was analyzed. Results: The 63 esophageal spindle cell carcinoma accounted for 1.4% (63/4 439) of all ESCC. Of the 63 patients there were 55 males and 8 females, male to female ratio was 7∶1. The p53 protein mutation expression rate was 77.8% (49/63), including 14 cases with wild-type expression, 22 with nonsense mutation expression, and 27 with missense mutation expression. The concordance rate of p53 protein expression between carcinoma components and spindle cell components was 100%. Survival analysis showed that p53 protein mutation expression was significantly correlated with overall survival (OS, P=0.044), patients with p53 protein mutation expression had poorer OS. Conclusion: p53 protein expression is highly concordant in the squamous cell carcinoma components and spindle cell components of esophageal spindle cell carcinoma; its mutation expression is associated with poor outcome of the patients.
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Affiliation(s)
- L L Rong
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Y Xue
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X M Xue
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Lyu
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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22
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Kong Y, Yang A, Xie X, Zhang J, Xu H, Li M, Lyu N, Wei W. Impact of the extent of axillary surgery in patients with N2-3 disease in the de-escalation era: a propensity score-matched study. Clin Transl Oncol 2020; 23:526-535. [PMID: 32632654 DOI: 10.1007/s12094-020-02444-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 06/25/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Reduction of surgeries in axillary has been proved feasible in breast cancer with negative and limited involved axillary lymph nodes. However, for women with a heavy axillary burden, the extent of dissection is still arguable. PATIENTS AND METHODS From a total of 7042 patients with breast cancer who underwent surgical treatments between 2008 and 2014, 692 (9.85%) patients with the axillary staging of N2-3M0 were classified into Level I-II dissection group and Level I-III dissection group. 203 pairs of patients were matched by the propensity score. RESULTS The positive rate of level-III lymph nodes is 62.4% in patients who underwent Level I-III dissection. There are 67 (22.1%) patients who experienced rise in staging from N2 to N3 due to level-III dissection. With a median follow-up of 62.4 months, no significant difference was observed in RFS (P = 0.897), MFS (P = 0.610) and OS (P = 0.755) between level I-II group and level I-III group. The same results were observed in the independent analysis of neoadjuvant and non-neoadjuvant subgroups. The binary regression model showed the positivity of level-III is only associated with involved lymph nodes in level-II. CONCLUSION Additional level-III dissection has a limited impact on survival but still valuable in an accurate stage. The reduction of surgeries in axillary should be treated with discretion in breast cancer patients with a heavy axillary burden.
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Affiliation(s)
- Y Kong
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Breast Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China
| | - A Yang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Breast Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China
| | - X Xie
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Breast Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China
| | - J Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Breast Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China
| | - H Xu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Breast Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China
| | - M Li
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - N Lyu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Minimally Invasive Interventional Radiology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China.
| | - W Wei
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Breast Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China.
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Li J, Li J, Lyu N, Ma Y, Liu F, Feng Y, Yao L, Hou Z, Song X, Zhao H, Li X, Wang Y, Xiao C, Zhu B. Composition of fecal microbiota in low-set rectal cancer patients treated with FOLFOX. Ther Adv Chronic Dis 2020; 11:2040622320904293. [PMID: 32153743 PMCID: PMC7045296 DOI: 10.1177/2040622320904293] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 01/06/2020] [Indexed: 01/07/2023] Open
Abstract
Background: FOLFOX treatment is a method used widely to reduce tumor size in low-set rectal cancer, with variable clinical results. FOLFOX agents comprise a mixture of oxaliplatin and 5-fluorouracil, the efficacy of which might be modulated by the gut microbiome in humans. This study aimed to determine whether the bowel microbiota is a factor that influences FOLFOX treatment. Methods: To investigate the role of gut microbiota during FOLFOX treatment, we carried out comprehensive metagenomic and metabolomic analyses on 62 fecal samples collected from 37 low-set rectal cancer patients. A set of 31 samples was collected before the patients underwent treatment; another 31 samples were obtained after the treatment was completed. Among these samples, 50 were paired samples collected before and after FOLFOX treatment. The patients were divided into responder and nonresponder groups according to the treatment outcome. Metagenomic sequencing was performed on these fecal samples. Diverse bacterial taxa were identified by MetaGeneMark, Soapaligner, and DIAMOND; microbiotal data analyses were carried out in the R environment. Differences in microbial taxa and metagenomic linkage groups were observed in multiple comparative analyses. Results: The gut microbiota was altered after treatment. Compared with before treatment, the changes in bacterial diversity and microbiotal composition after treatment were more apparent in the responder group than in the nonresponder group. Bacterial species analysis revealed a group of gut bacteria in multiple comparisons, with a group of eight specific species being associated with the outcome of FOLFOX treatment. Responders and nonresponders before treatment were clearly separated based on this bacterial subset. Finally, the metagenomic linkage group network and metabolomic analyses based on the genomic data confirmed a more significant change in the gut microbiota during FOLFOX treatment in the responder group than in the nonresponder group. Conclusions: Overall, our results describe a dynamic process of gut microbiotal changes from the start to the end of FOLFOX treatment, and verified a close relationship between microbiota and treatment outcome. Recognition of the significance of microbiotal intervention before FOLFOX treatment for low-set rectal cancer may improve the effects of these agents.
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Affiliation(s)
- Jing Li
- College of Life Sciences, Beijing Normal University, Beijing, China
| | - Jingtao Li
- Department of Gastroenterology, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Na Lyu
- CAS Key Laboratory of Pathogenic Microbiology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yue Ma
- CAS Key Laboratory of Pathogenic Microbiology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Fei Liu
- CAS Key Laboratory of Pathogenic Microbiology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yuqing Feng
- CAS Key Laboratory of Pathogenic Microbiology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Li Yao
- Department of Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Zhiyong Hou
- Department of Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Xiaofeng Song
- CAS Key Laboratory of Pathogenic Microbiology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Hongchuan Zhao
- Department of Gastroenterology, China-Japan Friendship Hospital, Beijing, China
| | - Xiaoya Li
- Institute of Clinical Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Yingdian Wang
- College of Life Sciences, Beijing Normal University, Beijing, China
| | - Cheng Xiao
- Institute of Clinical Medicine, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Baoli Zhu
- CAS Key Laboratory of Pathogenic Microbiology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
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Feng Y, Duan Y, Xu Z, Lyu N, Liu F, Liang S, Zhu B. An examination of data from the American Gut Project reveals that the dominance of the genus Bifidobacterium is associated with the diversity and robustness of the gut microbiota. Microbiologyopen 2019; 8:e939. [PMID: 31568677 PMCID: PMC6925156 DOI: 10.1002/mbo3.939] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 08/31/2019] [Accepted: 09/06/2019] [Indexed: 12/21/2022] Open
Abstract
Bifidobacterium and Lactobacillus are beneficial for human health, and many strains of these two genera are widely used as probiotics. We used two large datasets published by the American Gut Project (AGP) and a gut metagenomic dataset (NBT) to analyze the relationship between these two genera and the community structure of the gut microbiota. The meta-analysis showed that Bifidobacterium, but not Lactobacillus, is among the dominant genera in the human gut microbiota. The relative abundance of Bifidobacterium was elevated when Lactobacillus was present. Moreover, these two genera showed a positive correlation with some butyrate producers among the dominant genera, and both were associated with alpha diversity, beta diversity, and the robustness of the gut microbiota. Additionally, samples harboring Bifidobacterium present but no Lactobacillus showed higher alpha diversity and were more robust than those only carrying Lactobacillus. Further comparisons with other genera validated the important role of Bifidobacterium in the gut microbiota robustness. Multivariate analysis of 11,744 samples from the AGP dataset suggested Bifidobacterium to be associated with demographic features, lifestyle, and disease. In summary, Bifidobacterium members, which are promoted by dairy and whole-grain consumption, are more important than Lactobacillus in maintaining the diversity and robustness of the gut microbiota.
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Affiliation(s)
- Yuqing Feng
- CAS Key Laboratory of Pathogenic Microbiology and ImmunologyInstitute of MicrobiologyChinese Academy of SciencesBeijingChina
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijingChina
| | - Yunfeng Duan
- CAS Key Laboratory of Pathogenic Microbiology and ImmunologyInstitute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Zhenjiang Xu
- School of Food Science & TechnologyNanchang UniversityNanchangChina
| | - Na Lyu
- CAS Key Laboratory of Pathogenic Microbiology and ImmunologyInstitute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Fei Liu
- CAS Key Laboratory of Pathogenic Microbiology and ImmunologyInstitute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Shihao Liang
- CAS Key Laboratory of Pathogenic Microbiology and ImmunologyInstitute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Baoli Zhu
- CAS Key Laboratory of Pathogenic Microbiology and ImmunologyInstitute of MicrobiologyChinese Academy of SciencesBeijingChina
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijingChina
- Beijing Key Laboratory of Antimicrobial Resistance and Pathogen GenomicsBeijingChina
- Department of Pathogenic BiologySchool of Basic Medical SciencesSouthwest Medical UniversityLuzhouChina
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25
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Zhao M, Huang J, Lyu N, Kong Y, Mu L, Lin Y. Local Thermal Ablation Reboots the Response in Advanced Hepatocellular Carcinoma with Stable or Atypical Progressive Diseases During Anti-PD-1 Therapy. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz451.030] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Jin M, Li J, Liu F, Lyu N, Wang K, Wang L, Liang S, Tao H, Zhu B, Alkasir R. Analysis of the Gut Microflora in Patients With Parkinson's Disease. Front Neurosci 2019; 13:1184. [PMID: 31824239 PMCID: PMC6883725 DOI: 10.3389/fnins.2019.01184] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 10/18/2019] [Indexed: 12/20/2022] Open
Abstract
This study was conducted to explore the composition of the fecal microflora of Chinese Parkinson's disease (PD) patients, as well as to explore links between PD clinical features and antiparkinsonian medications on the gut microflora. Seventy-two PD cases [59 patients suffering from PD for >1 year (OPD) and 13 new PD (NPD) patients] were studied. Microflora communities in the feces of the patients and corresponding healthy controls (HCs) were examined using high-throughput Illumina MiSeq sequencing targeting the 16S rRNA gene. The gut microflora of OPD patients contained high levels of Rikenellaceae compared to corresponding HCs. In addition, significantly higher levels of Turicibacteraceae were found in the NPD group compared to the corresponding HCs. The genera Turicibacter and Prevotella were significantly correlated with the PD severity scores. Our findings that some fecal microflora were closely related to PD clinical characteristics may enhance our understanding of the pathogenesis and treatment of PD.
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Affiliation(s)
- Miao Jin
- Neurology Department of China - Japan Friendship Hospital, Beijing, China
| | - Jing Li
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Fei Liu
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Na Lyu
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Kang Wang
- Neurology Department of China - Japan Friendship Hospital, Beijing, China
| | - Lu Wang
- Neurology Department of China - Japan Friendship Hospital, Beijing, China
| | - Shihao Liang
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Hua Tao
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Baoli Zhu
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Rashad Alkasir
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
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27
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Zheng W, Ma Y, Zhao A, He T, Lyu N, Pan Z, Mao G, Liu Y, Li J, Wang P, Wang J, Zhu B, Zhang Y. Compositional and functional differences in human gut microbiome with respect to equol production and its association with blood lipid level: a cross-sectional study. Gut Pathog 2019; 11:20. [PMID: 31168326 PMCID: PMC6509798 DOI: 10.1186/s13099-019-0297-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Accepted: 04/05/2019] [Indexed: 12/24/2022] Open
Abstract
Background Gut microbiota affects lipid metabolism interactively with diet. Equol, a metabolite of isoflavones produced by gut bacteria, may contribute substantially in beneficial lipid-lowering effects. This study aimed to examine equol production-related gut microbiota differences among humans and its consequent association with blood lipid levels. Results Characterization of the gut microbiota by deep shotgun sequencing and serum lipid profiles were compared between equol producers and non-producers. Gut microbiota differed significantly at the community level between equol producers and non-producers (P = 0.0062). At the individual level, 32 species associated with equol production were identified. Previously reported equol-producing related species Adlercreutzia equolifaciens and Bifidobacterium bifidum showed relatively higher abundance in this study in equol producers compared to non-producers (77.5% vs. 22.5%; 72.0% vs. 28.0%, respectively). Metabolic pathways also showed significant dissimilarity between equol producers and non-producers (P = 0.001), and seven metabolic pathways were identified to be associated with the equol concentration in urine. Previously reported equol production-related gene sequences in A. equolifaciens 19450T showed higher relative abundance in equol producers than in non-producers. Additionally, we found that equol production was significantly associated with the prevalence of dyslipidemia, including a marginal increase in serum lipids (27.1% vs. 50.0%, P = 0.02). Furthermore, equol production was not determined by intake of soy isoflavones, which suggested that gut microbiota is critical in the equol production process. Conclusion Both content and functioning of the microbial gut community significantly differed between equol producers and non-producers. Further, equol producers showed lower prevalences of dyslipidemia, which suggests the important role that equol might play in lipid metabolism by gut microbiota. Electronic supplementary material The online version of this article (10.1186/s13099-019-0297-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Wei Zheng
- 1Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.,2Department of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yue Ma
- 3CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Science, Beichen West Road 1, Haidian District, Beijing, 100101 China.,4University of Chinese Academy of Science, Beijing, China.,Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China
| | - Ai Zhao
- 2Department of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Tingchao He
- 6Department of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Xueyuan Road 38, Haidian District, Beijing, 100191 China
| | - Na Lyu
- 3CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Science, Beichen West Road 1, Haidian District, Beijing, 100101 China.,Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China
| | - Ziqi Pan
- 6Department of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Xueyuan Road 38, Haidian District, Beijing, 100191 China
| | - Geqi Mao
- 6Department of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Xueyuan Road 38, Haidian District, Beijing, 100191 China
| | - Yan Liu
- 6Department of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Xueyuan Road 38, Haidian District, Beijing, 100191 China
| | - Jing Li
- 3CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Science, Beichen West Road 1, Haidian District, Beijing, 100101 China.,Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China
| | - Peiyu Wang
- 2Department of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jun Wang
- 3CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Science, Beichen West Road 1, Haidian District, Beijing, 100101 China
| | - Baoli Zhu
- 3CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Science, Beichen West Road 1, Haidian District, Beijing, 100101 China.,4University of Chinese Academy of Science, Beijing, China.,Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China.,7Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,8Department of Pathogenic Biology, School of Basic Medical Sciences, Southwest Medical University, Zhongshan Road, Luzhou, Sichuan China
| | - Yumei Zhang
- 6Department of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Xueyuan Road 38, Haidian District, Beijing, 100191 China.,Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing, China
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Lu W, Feng Y, Jing F, Han Y, Lyu N, Liu F, Li J, Song X, Xie J, Qiu Z, Zhu T, Routy B, Routy JP, Li T, Zhu B. Association Between Gut Microbiota and CD4 Recovery in HIV-1 Infected Patients. Front Microbiol 2018; 9:1451. [PMID: 30034377 PMCID: PMC6043814 DOI: 10.3389/fmicb.2018.01451] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Accepted: 06/11/2018] [Indexed: 12/12/2022] Open
Abstract
Composition of the gut microbiota has been linked with human immunedeficiency virus (HIV)-infected patients on antiretroviral therapy (ART). Evidence suggests that ART-treated patients with poor CD4+ T-cell recovery have higher levels of microbial translocation and immune activation. However, the association of the gut microbiota and immune recovery remains unclear. We performed a cross-sectional study on 30 healthy controls (HC) and 61 HIV-infected individuals, including 15 immunological ART responders (IRs), 20 immunological ART non-responders (INRs) and 26 untreated individuals (VU). IR and INR groups were classified by CD4+ T-cell counts of ≥350 cells/mm3 and <350 cells/mm3 after 2 years of ART, respectively. Each subject’s gut microbiota composition was analyzed by metagenomics sequencing. Levels of CD4+ T cells, CD8+HLA-DR+ T cells and CD8+CD38+ T cells were measured by flow cytometry. We identified more Prevotella and fewer Bacteroides in HIV-infected individuals than in HC. Patients in INR group were enriched with Faecalibacterium prausnitzii, unclassified Subdoligranulum sp. and Coprococcus comes when compared with those in IR group. F. prausnitzii and unclassified Subdoligranulum sp. were overrepresented in individuals in VU group with CD4+ T-cell counts <350 cells/mm3. Moreover, we found that the relative abundance of unclassified Subdoligranulum sp. and C. comes were positively correlated with CD8+HLA-DR+ T-cell count and CD8+HLA-DR+/CD8+ percentage. Our study has shown that gut microbiota changes were associated with CD4+ T-cell counts and immune activation in HIV-infected subjects. Interventions to reverse gut dysbiosis and inhibit immune activation could be a new strategy for improving immune reconstitution of HIV-1-infected individuals.
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Affiliation(s)
- Wei Lu
- Department of Infectious Disease, Peking Union Medical College Hospital, Beijing, China.,Center for AIDS Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuqing Feng
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,Savaid School of Medicine, University of Chinese Academy of Sciences, Beijing, China.,Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China
| | - Fanhui Jing
- Department of Infectious Disease, Peking Union Medical College Hospital, Beijing, China.,Center for AIDS Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yang Han
- Department of Infectious Disease, Peking Union Medical College Hospital, Beijing, China.,Center for AIDS Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Na Lyu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China
| | - Fei Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China
| | - Jing Li
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China
| | - Xiaojing Song
- Department of Infectious Disease, Peking Union Medical College Hospital, Beijing, China.,Center for AIDS Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Xie
- Department of Infectious Disease, Peking Union Medical College Hospital, Beijing, China.,Center for AIDS Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhifeng Qiu
- Department of Infectious Disease, Peking Union Medical College Hospital, Beijing, China.,Center for AIDS Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ting Zhu
- Department of Infectious Disease, Peking Union Medical College Hospital, Beijing, China.,Center for AIDS Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bertrand Routy
- Division of Hematology and Oncology Division, Department of Medicine, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, QC, Canada.,Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, QC, Canada
| | - Jean-Pierre Routy
- Chronic Viral Illnesses Service Research Institute and Division of Hematology, McGill University Health Centre, Montreal, QC, Canada
| | - Taisheng Li
- Department of Infectious Disease, Peking Union Medical College Hospital, Beijing, China.,Center for AIDS Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Baoli Zhu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,Savaid School of Medicine, University of Chinese Academy of Sciences, Beijing, China.,Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Beijing, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Department of Pathogenic Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou, China
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Lyu N, Du W, Wang XF. Unique growth paths of heterospecific pollen tubes result in late entry into ovules in the gynoecium of Sagittaria (Alismataceae). Plant Biol (Stuttg) 2017; 19:108-114. [PMID: 27687794 DOI: 10.1111/plb.12508] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Accepted: 09/24/2016] [Indexed: 06/06/2023]
Abstract
Pollen-pistil interactions are a fundamental process in the reproductive biology of angiosperms and play a particularly important role in maintaining incipient species that exist in sympatry. However, the majority of previous studies have focused on species with syncarpous gynoecia (fused carpels) and not those with apocarpous gynoecia (unfused carpels). In the present study, we investigated the growth of conspecific pollen tubes compared to heterospecific pollen tubes in Sagittaria species, which have apocarpous gynoecia. We conducted controlled pollinations between S. pygmaea and S. trifolia and observed the growth of conspecific and heterospecific pollen tubes under a fluorescence microscope. Heterospecific and conspecific pollen tubes arrived at locules within the ovaries near simultaneously. However, conspecific pollen tubes entered into the ovules directly, whereas heterospecific tubes passed through the carpel base and adjacent receptacle tissue, to ultimately fertilize other unfertilized ovules. This longer route taken by heterospecific pollen tubes therefore caused a delay in the time required to enter into the ovules. Furthermore, heterospecific pollen tubes displayed similar growth patterns at early and peak pollination. The growth pattern of heterospecific pollen tubes at late pollination was similar to that of conspecific pollen tubes at peak pollination. Heterospecific and conspecific pollen tubes took different routes to fertilize ovules. A delayed entry of heterospecific pollen into ovules may be a novel mechanism of conspecific pollen advantage (CPA) for apocarpous species.
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Affiliation(s)
- N Lyu
- College of Life Sciences, Wuhan University, Wuhan, China
| | - W Du
- College of Life Sciences, Wuhan University, Wuhan, China
| | - X-F Wang
- College of Life Sciences, Wuhan University, Wuhan, China
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