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Li YF, Kong XL, Song WM, Li YM, Li YY, Fang WW, Yang JY, Yu CB, Li HC, Liu Y. Genomic analysis of lineage-specific transmission of multidrug resistance tuberculosis in China. Emerg Microbes Infect 2024; 13:2294858. [PMID: 38126135 PMCID: PMC10866052 DOI: 10.1080/22221751.2023.2294858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 12/11/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVES We investigated the genetic diversities and lineage-specific transmission dynamics of multidrug-resistant tuberculosis (MDR-TB), with the goal of determining the potential factors driving the MDR epidemics in China. METHODS We curated a large nationwide Mycobacterium tuberculosis (M. tuberculosis) whole genome sequence data set, including 1313 MDR strains. We reconstructed the phylogeny and mapped the transmission networks of MDR-TB across China using Bayesian inference. To identify drug-resistance variants linked to enhanced transmissibility, we employed ordinary least-squares (OLS) regression analysis. RESULT The majority of MDR-TB strains in China belong to lineage 2.2.1. Transmission chain analysis has indicated that the repeated and frequent transmission of L2.2.1 plays a central role in the establishment of MDR epidemic in China, but no occurrence of a large predominant MDR outbreak was detected. Using OLS regression, the most common single nucleotide polymorphisms (SNPs) associated with resistance to isoniazid (katG_p.Ser315Thr and katG_p.Ser315Asn) and rifampicin (rpoB_p.Ser450Leu, rpoB_p.His445Tyr, rpoB_p.His445Arg, rpoB_p.His445Asp, and rpoB_p.His445Asn) were more likely to be found in L2 clustered strains. Several putative compensatory mutations in rpoA, rpoC, and katG were significantly associated with clustering. The eastern, central, and southern regions of China had a high level of connectivity for the migration of L2 MDR strains throughout the country. The skyline plot showed distinct population size expansion dynamics for MDR-TB lineages in China. CONCLUSION MDR-TB epidemic in China is predominantly driven by the spread of highly transmissible Beijing strains. A range of drug-resistance mutations of L2 MDR-TB strains displayed minimal fitness costs and may facilitate their transmission.
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Affiliation(s)
- Yi-fan Li
- Department of Respiratory and Critical Care Medicine, The Third Affiliated Hospital of Shandong First Medical University, Jinan, People’s Republic of China
| | - Xiang-long Kong
- Shandong Artificial Intelligence Institute Qilu University of Technology (Shandong Academy of Sciences), Jinan, People’s Republic of China
| | - Wan-mei Song
- Department of Respiratory Medicine, Ruijin Hospital Affiliated to Shanghai Jiaotong University, Shanghai, People’s Republic of China
| | - Ya-meng Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
- Department of Respiratory and Critical Care Medicine, Shandong University of Traditional Chinese Medicine, Jinan, People’s Republic of China
| | - Ying-Ying Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
- Department of Respiratory and Critical Care Medicine, Shandong University of Traditional Chinese Medicine, Jinan, People’s Republic of China
| | - Wei-wei Fang
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
| | - Jie-yu Yang
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
| | - Chun-Bao Yu
- Center for Integrative and Translational Medicine, Shandong Public Health Clinical Center, Jinan, People’s Republic of China
| | - Huai-chen Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
| | - Yao Liu
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
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Liu D, Huang F, Li Y, Mao L, He W, Wu S, Xia H, He P, Zheng H, Zhou Y, Zhao B, Ou X, Song Y, Song Z, Mei L, Liu L, Zhang G, Wei Q, Zhao Y. Transmission characteristics in Tuberculosis by WGS: nationwide cross-sectional surveillance in China. Emerg Microbes Infect 2024; 13:2348505. [PMID: 38686553 PMCID: PMC11097701 DOI: 10.1080/22221751.2024.2348505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 04/23/2024] [Indexed: 05/02/2024]
Abstract
China, with the third largest share of global tuberculosis cases, faces a substantial challenge in its healthcare system as a result of the high burden of multidrug-resistant and rifampicin-resistant tuberculosis (MDR/RR-TB). This study employs a genomic epidemiological approach to assess recent tuberculosis transmissions between individuals, identifying potential risk factors and discerning the role of transmitted resistant isolates in the emergence of drug-resistant tuberculosis in China. We conducted a population-based retrospective study on 5052 Mycobacterium tuberculosis (MTB) isolates from 70 surveillance sites using whole genome sequencing (WGS). Minimum spanning tree analysis identified resistance mutations, while epidemiological data analysis pinpointed transmission risk factors. Of the 5052 isolates, 23% (1160) formed 452 genomic clusters, with 85.6% (387) of the transmissions occurring within the same counties. Individuals with younger age, larger family size, new cases, smear positive, and MDR/RR were at higher odds for recent transmission, while higher education (university and above) and occupation as a non-physical workers emerged as protective factors. At least 61.4% (251/409) of MDR/RR-TB were likely a result of recent transmission of MDR/RR isolates, with previous treatment (crude OR = 2.77), smear-positive (cOR = 2.07) and larger family population (cOR = 1.13) established as risk factors. Our findings highlight that local transmission remains the predominant form of TB transmission in China. Correspondingly, drug-resistant tuberculosis is primarily driven by the transmission of resistant tuberculosis isolates. Targeted interventions for high-risk populations to interrupt transmission within the country will likely provide an opportunity to reduce the prevalence of both tuberculosis and drug-resistant tuberculosis.
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Affiliation(s)
- Dongxin Liu
- National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Fei Huang
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Yaru Li
- Department of Nutrition, Beijing Friendship Hospital, Capital Medical University
| | - Lingfeng Mao
- Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, People’s Republic of China
| | - Wencong He
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Sihao Wu
- Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, People’s Republic of China
| | - Hui Xia
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Ping He
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Huiwen Zheng
- Laboratory of Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Pediatric Research Institute, Beijing Children’s Hospital, Capital Medical University, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Center for Children’s Health, Beijing, People’s Republic of China
| | - Yang Zhou
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Bing Zhao
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Xichao Ou
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Yuanyuan Song
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Zexuan Song
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Li Mei
- National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Li Liu
- National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Guoliang Zhang
- National Clinical Research Center for Infectious Diseases, Guangdong Clinical Research Center for Tuberculosis, Shenzhen Third People’s Hospital, Shenzhen, People’s Republic of China
| | - Qiang Wei
- National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Yanlin Zhao
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
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Feng Q, Zhang G, Chen L, Wu H, Yang Y, Gao Q, Asakawa T, Zhao Y, Lu S, Zhou L, Lu H. Roadmap for ending TB in China by 2035: The challenges and strategies. Biosci Trends 2024; 18:11-20. [PMID: 38325824 DOI: 10.5582/bst.2023.01325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Tuberculosis (TB) is one of the top ten causes of death worldwide, taking the lives of over a million people annually. In addition to being a serious health issue, TB is also closely linked to eradicating poverty according to the Sustainable Development Goals (SDGs) of the United Nations (UN). All UN members have committed to ending the TB epidemic by 2030. China has one of the highest TB loads worldwide, ranking third in the world on many TB burden indices. The national strategy for TB control is aimed at creating a collaborative network and integrating TB treatment into the medical system. According to the WHO's global TB report, China is expected to have 748,000 new cases of TB in 2022 and an incidence of 52 cases per 100,000 people. Ending TB remains a huge challenge and requires comprehensive control strategies in China. In this work, we have discussed the challenges of TB prevention and control in China and proposed specific measures to end TB.
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Affiliation(s)
- Qishun Feng
- National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Guoliang Zhang
- National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Liang Chen
- Guangdong Provincial Research Center for Public Health, Guangdong Provincial Center for Diseases Control and Prevention, Guangzhou, Guangdong, China
| | - Huizhong Wu
- Guangdong Provincial Center for Tuberculosis Control, Guangzhou, Guangdong, China
| | - Yingzhou Yang
- Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China
| | - Qian Gao
- National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
- School of Basic Medical Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Tetsuya Asakawa
- National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Yanlin Zhao
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuihua Lu
- National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Lin Zhou
- National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
- Guangdong Provincial People's Hospital, Guangzhou, Guangdong, China
| | - Hongzhou Lu
- National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
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Goig GA, Menardo F, Salaam-Dreyer Z, Dippenaar A, Streicher EM, Daniels J, Reuter A, Borrell S, Reinhard M, Doetsch A, Beisel C, Warren RM, Cox H, Gagneux S. Effect of compensatory evolution in the emergence and transmission of rifampicin-resistant Mycobacterium tuberculosis in Cape Town, South Africa: a genomic epidemiology study. THE LANCET. MICROBE 2023; 4:e506-e515. [PMID: 37295446 PMCID: PMC10319636 DOI: 10.1016/s2666-5247(23)00110-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 01/26/2023] [Accepted: 03/01/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Experimental data show that drug-resistance-conferring mutations are often associated with a decrease in the replicative fitness of bacteria in vitro, and that this fitness cost can be mitigated by compensatory mutations; however, the role of compensatory evolution in clinical settings is less clear. We assessed whether compensatory evolution was associated with increased transmission of rifampicin-resistant tuberculosis in Khayelitsha, Cape Town, South Africa. METHODS We did a genomic epidemiological study by analysing available M tuberculosis isolates and their associated clinical data from individuals routinely diagnosed with rifampicin-resistant tuberculosis in primary care and hospitals in Khayelitsha, Cape Town, South Africa. Isolates were collected as part of a previous study. All individuals diagnosed with rifampicin-resistant tuberculosis and with linked biobanked specimens were included in this study. We applied whole-genome sequencing, Bayesian reconstruction of transmission trees, and phylogenetic multivariable regression analysis to identify individual and bacterial factors associated with the transmission of rifampicin-resistant M tuberculosis strains. FINDINGS Between Jan 1, 2008, and Dec 31, 2017, 2161 individuals were diagnosed with multidrug-resistant or rifampicin-resistant tuberculosis in Khayelitsha, Cape Town, South Africa. Whole-genome sequences were available for 1168 (54%) unique individual M tuberculosis isolates. Compensatory evolution was associated with smear-positive pulmonary disease (adjusted odds ratio 1·49, 95% CI 1·08-2·06) and a higher number of drug-resistance-conferring mutations (incidence rate ratio 1·38, 95% CI 1·28-1·48). Compensatory evolution was also associated with increased transmission of rifampicin-resistant disease between individuals (adjusted odds ratio 1·55; 95% CI 1·13-2·12), independent of other patient and bacterial factors. INTERPRETATION Our findings suggest that compensatory evolution enhances the in vivo fitness of drug-resistant M tuberculosis genotypes, both within and between patients, and that the in vitro replicative fitness of rifampicin-resistant M tuberculosis measured in the laboratory correlates with the bacterial fitness measured in clinical settings. These results emphasise the importance of enhancing surveillance and monitoring efforts to prevent the emergence of highly transmissible clones capable of rapidly accumulating new drug resistance mutations. This concern becomes especially crucial at present, because treatment regimens incorporating novel drugs are being implemented. FUNDING Funding for this study was provided by a Swiss and South Africa joint research award (grant numbers 310030_188888, CRSII5_177163, and IZLSZ3_170834), the European Research Council (grant number 883582), and a Wellcome Trust fellowship (to HC; reference number 099818/Z/12/Z). ZS-D was funded through a PhD scholarship from the South African National Research Foundation and RMW was funded through the South African Medical Research Council.
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Affiliation(s)
- Galo A Goig
- Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland.
| | - Fabrizio Menardo
- Department of Plant and Microbial Biology, University of Zürich, Zürich, Switzerland
| | - Zubeida Salaam-Dreyer
- Division of Medical Microbiology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Anzaan Dippenaar
- Tuberculosis Omics Research Consortium, Family Medicine and Population Health, Institute of Global Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Elizabeth M Streicher
- Department of Science and Innovation - National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa; South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Johnny Daniels
- Médecins Sans Frontières, Khayelitsha, Cape Town, South Africa
| | - Anja Reuter
- Médecins Sans Frontières, Khayelitsha, Cape Town, South Africa
| | - Sonia Borrell
- Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Miriam Reinhard
- Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Anna Doetsch
- Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Christian Beisel
- Department of Biosystems Science and Engineering, Eidgenössische Technische Hochschule Zürich, Zürich, Swizterland
| | - Robin M Warren
- Department of Science and Innovation - National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa; South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Helen Cox
- Division of Medical Microbiology, Department of Pathology, University of Cape Town, Cape Town, South Africa; Institute of Infectious Disease and Molecular Medicine and Wellcome Centre for Infectious Disease Research, University of Cape Town, Cape Town, South Africa
| | - Sebastien Gagneux
- Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
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Zhdanova S, Jiao WW, Sinkov V, Khromova P, Solovieva N, Mushkin A, Mokrousov I, Belopolskaya O, Masharsky A, Vyazovaya A, Rychkova L, Kolesnikova L, Zhuravlev V, Shen AD, Ogarkov O. Insight into Population Structure and Drug Resistance of Pediatric Tuberculosis Strains from China and Russia Gained through Whole-Genome Sequencing. Int J Mol Sci 2023; 24:10302. [PMID: 37373451 DOI: 10.3390/ijms241210302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/07/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023] Open
Abstract
This study aimed to determine phenotypic and genotypic drug resistance patterns of Mycobacterium tuberculosis strains from children with tuberculosis (TB) in China and Russia, two high-burden countries for multi/extensively-drug resistant (MDR/XDR) TB. Whole-genome sequencing data of M. tuberculosis isolates from China (n = 137) and Russia (n = 60) were analyzed for phylogenetic markers and drug-resistance mutations, followed by comparison with phenotypic susceptibility data. The Beijing genotype was detected in 126 Chinese and 50 Russian isolates. The Euro-American lineage was detected in 10 Russian and 11 Chinese isolates. In the Russian collection, the Beijing genotype and Beijing B0/W148-cluster were dominated by MDR strains (68% and 94%, respectively). Ninety percent of B0/W148 strains were phenotypically pre-XDR. In the Chinese collection, neither of the Beijing sublineages was associated with MDR/pre-XDR status. MDR was mostly caused by low fitness cost mutations (rpoB S450L, katG S315T, rpsL K43R). Chinese rifampicin-resistant strains demonstrated a higher diversity of resistance mutations than Russian isolates (p = 0.003). The rifampicin and isoniazid resistance compensatory mutations were detected in some MDR strains, but they were not widespread. The molecular mechanisms of M. tuberculosis adaptation to anti-TB treatment are not unique to the pediatric strains, but they reflect the general situation with TB in Russia and China.
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Affiliation(s)
- Svetlana Zhdanova
- Department of Epidemiology and Microbiology, Scientific Centre for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - Wei-Wei Jiao
- National Clinical Research Center for Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Disease, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Viacheslav Sinkov
- Department of Epidemiology and Microbiology, Scientific Centre for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - Polina Khromova
- Department of Epidemiology and Microbiology, Scientific Centre for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - Natalia Solovieva
- St. Petersburg Research Institute of Phthisiopulmonology, 191036 St. Petersburg, Russia
| | - Alexander Mushkin
- St. Petersburg Research Institute of Phthisiopulmonology, 191036 St. Petersburg, Russia
| | - Igor Mokrousov
- Laboratory of Molecular Epidemiology and Evolutionary Genetics, St. Petersburg Pasteur Institute, 197101 St. Petersburg, Russia
- Henan International Joint Laboratory of Children's Infectious Diseases, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital Zhengzhou Children's Hospital, Zhengzhou 450012, China
| | - Olesya Belopolskaya
- The Bio-Bank Resource Center, Research Park, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Aleksey Masharsky
- The Bio-Bank Resource Center, Research Park, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Anna Vyazovaya
- Laboratory of Molecular Epidemiology and Evolutionary Genetics, St. Petersburg Pasteur Institute, 197101 St. Petersburg, Russia
| | - Lubov Rychkova
- Department of Epidemiology and Microbiology, Scientific Centre for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - Lubov Kolesnikova
- Department of Epidemiology and Microbiology, Scientific Centre for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - Viacheslav Zhuravlev
- St. Petersburg Research Institute of Phthisiopulmonology, 191036 St. Petersburg, Russia
| | - A-Dong Shen
- National Clinical Research Center for Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Disease, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
- Henan International Joint Laboratory of Children's Infectious Diseases, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital Zhengzhou Children's Hospital, Zhengzhou 450012, China
| | - Oleg Ogarkov
- Department of Epidemiology and Microbiology, Scientific Centre for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
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Zhou Z, Yi H, Zhou Q, Wang L, Zhu Y, Wang W, Liu Z, Xiong H. Evolution and epidemic success of Mycobacterium tuberculosis in eastern China: evidence from a prospective study. BMC Genomics 2023; 24:241. [PMID: 37147590 PMCID: PMC10161668 DOI: 10.1186/s12864-023-09312-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 04/14/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND Lineage distribution of Mycobacterium tuberculosis (Mtb) isolates is strongly associated with geographically distinct human populations, and its transmission can be further impacted by the bacterial genome. However, the epidemic success of Mtb isolates at an individual level was unknown in eastern China. Knowledge regarding the emergence and transmission of Mtb isolates as well as relevant factors may offer a new solution to curb the spread of the disease. Thus, this study aims to reveal the evolution and epidemic success of Mtb isolates in eastern China. RESULTS Of initial 1040 isolates, 997 were retained after removing duplicates and those with insufficient sequencing depth. Of the final samples, 733 (73.52%) were from Zhejiang Province, and 264 (26.48%) were from Shanghai City. Lineage 2 and lineage 4 accounted for 80.44% and 19.56%, with common ancestors dating around 7017 years ago and 6882 years ago, respectively. Sub-lineage L2.2 (80.34%) contributed the majority of total isolates, followed by L4.4 (8.93%) and L4.5 (8.43%). Additionally, 51 (5.12%) isolates were identified to be multidrug-resistant (MDR), of which 21 (29.17%) were pre-extensively drug-resistant (pre-XDR). One clade harboring katG S315T mutation may date back to 65 years ago and subsequently acquired mutations conferring resistance to another five antibiotic drugs. The prevalence of compensatory mutation was the highest in pre-XDR isolates (76.19%), followed by MDR isolates (47.06%) and other drug-resistant isolates (20.60%). Time-scaled haplotypic density analyses suggested comparable success indices between lineage 2 and lineage 4 (P = 0.306), and drug resistance did not significantly promote the transmission of Mtb isolates (P = 0.340). But for pre-XDR isolates, we found a higher success index in those with compensatory mutations (P = 0.025). Mutations under positive selection were found in genes associated with resistance to second-line injectables (whiB6) and drug tolerance (prpR) in both lineage 2 and lineage 4. CONCLUSIONS Our study demonstrates the population expansion of lineage 2 and lineage 4 in eastern China, with comparable transmission capacity, while accumulation of resistance mutations does not necessarily facilitate the success of Mtb isolates. Compensatory mutations usually accompany drug resistance and significantly contribute to the epidemiological transmission of pre-XDR strains. Prospective molecular surveillance is required to further monitor the emergence and spread of pre-XDR/XDR strains in eastern China.
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Affiliation(s)
- Zonglei Zhou
- School of Public Health, Fudan University, Shanghai, 200032, China
| | - Huaiming Yi
- Center for Disease Control and Prevention of Changshan County, 324200, Zhejiang, China
| | - Qingrong Zhou
- Center for Disease Control and Prevention of Jiangshan City, 324100, Zhejiang, China
| | - Luqi Wang
- School of Public Health, Fudan University, Shanghai, 200032, China
| | - Yue Zhu
- School of Public Health, Fudan University, Shanghai, 200032, China
| | - Weibing Wang
- School of Public Health, Fudan University, Shanghai, 200032, China.
- Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China.
| | - Zhengwe Liu
- Institute of Tuberculosis Control, Zhejiang Provincial Center for Disease Control and Prevention, 310051, Zhejiang, China.
| | - Haiyan Xiong
- School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China
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Baker CR, Barilar I, de Araujo LS, Rimoin AW, Parker DM, Boyd R, Tobias JL, Moonan PK, Click ES, Finlay A, Oeltmann JE, Minin VN, Modongo C, Zetola NM, Niemann S, Shin SS. Use of High-Resolution Geospatial and Genomic Data to Characterize Recent Tuberculosis Transmission, Botswana. Emerg Infect Dis 2023; 29:977-987. [PMID: 37081530 PMCID: PMC10124643 DOI: 10.3201/eid2905.220796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023] Open
Abstract
Combining genomic and geospatial data can be useful for understanding Mycobacterium tuberculosis transmission in high-burden tuberculosis (TB) settings. We performed whole-genome sequencing on M. tuberculosis DNA extracted from sputum cultures from a population-based TB study conducted in Gaborone, Botswana, during 2012-2016. We determined spatial distribution of cases on the basis of shared genotypes among isolates. We considered clusters of isolates with ≤5 single-nucleotide polymorphisms identified by whole-genome sequencing to indicate recent transmission and clusters of ≥10 persons to be outbreaks. We obtained both molecular and geospatial data for 946/1,449 (65%) participants with culture-confirmed TB; 62 persons belonged to 5 outbreaks of 10-19 persons each. We detected geospatial clustering in just 2 of those 5 outbreaks, suggesting heterogeneous spatial patterns. Our findings indicate that targeted interventions applied in smaller geographic areas of high-burden TB identified using integrated genomic and geospatial data might help interrupt TB transmission during outbreaks.
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Li M, Lu L, Guo M, Jiang Q, Xia L, Jiang Y, Zhang S, Qiu Y, Yang C, Chen Y, Hong J, Guo X, Takiff H, Shen X, Chen C, Gao Q. Discrepancy in the transmissibility of multidrug-resistant Mycobacterium tuberculosis in urban and rural areas in China. Emerg Microbes Infect 2023; 12:2192301. [PMID: 36924242 DOI: 10.1080/22221751.2023.2192301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
The fitness of multidrug-resistant tuberculosis (MDR-TB) is thought to be an important determinant of a strain's ability to be transmitted and cause outbreaks. Studies in the laboratory have demonstrated that MDR-TB strains have reduced fitness but the relative transmissibility of MDR-TB versus drug-susceptible (DS) TB strains in human populations remains unresolved. We used data on genomic clustering from our previous molecular epidemiological study in Songjiang (2011-2020) and Wusheng (2009-2020), China, to compare the relative transmissibility of MDR-TB versus DS-TB. Genomic clusters were defined with a threshold distance of 12-single-nucleotide-polymorphisms and the risk for MDR-TB clustering was analyzed by logistic regression. In total, 2212 culture-positive pulmonary TB patients were enrolled in Songjiang and 1289 in Wusheng. The clustering rates of MDR-TB and DS-TB strains were 19.4% (20/103) and 26.3% (509/1936), respectively in Songjiang, and 43.9% (29/66) and 26.0% (293/1128) in Wusheng. The risk of MDR-TB clustering was 2.34 (95% CI 1.38-3.94) times higher than DS-TB clustering in Wusheng and 0.64 (95% CI 0.38-1.06) times lower in Songjiang. Neither lineage 2, compensatory mutations nor rpoB S450L were significantly associated with MDR-TB transmission, and katG S315T increased MDR-TB transmission only in Wusheng (OR 5.28, 95% CI 1.42-19.21). MDR-TB was not more transmissible than DS-TB in either Songjiang or Wusheng. It appears that the different transmissibility of MDR-TB in Songjiang and Wusheng is likely due to differences in the quality of the local TB control programs. These results suggest that the most effective way to control MDR-TB is by improving local TB control programs.
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Affiliation(s)
- Meng Li
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.,National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Liping Lu
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Mingcheng Guo
- Department of Tuberculosis Control, Wusheng County Center for Disease Control and Prevention, Guang'an, China
| | - Qi Jiang
- School of Public Health, Renmin Hospital Public Health Research Institute, Wuhan University, Wuhan, China
| | - Lan Xia
- Institution for Tuberculosis Prevention and Control, Sichuan Provincial Center for Disease Control and Prevention, Chengdu, China
| | - Yuan Jiang
- Tuberculosis Laboratory, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Shu Zhang
- Institution for Tuberculosis Prevention and Control, Sichuan Provincial Center for Disease Control and Prevention, Chengdu, China
| | - Yong Qiu
- Department of Tuberculosis Control, Wusheng County Center for Disease Control and Prevention, Guang'an, China
| | - Chongguang Yang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Yiwang Chen
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.,National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Jianjun Hong
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Xiaoqin Guo
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Howard Takiff
- Laboratorio de Genética Molecular, CMBC, IVIC, Caracas, Venezuela
| | - Xin Shen
- Tuberculosis Laboratory, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Chuang Chen
- Institution for Tuberculosis Prevention and Control, Sichuan Provincial Center for Disease Control and Prevention, Chengdu, China
| | - Qian Gao
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.,National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
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Yun W, Huijuan C, Long L, Xiaolong L, Aihua Z. Time trend prediction and spatial-temporal analysis of multidrug-resistant tuberculosis in Guizhou Province, China, during 2014-2020. BMC Infect Dis 2022; 22:525. [PMID: 35672746 PMCID: PMC9171477 DOI: 10.1186/s12879-022-07499-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 05/20/2022] [Indexed: 11/10/2022] Open
Abstract
Background Guizhou is located in the southwest of China with high multidrug-resistant tuberculosis (MDR-TB) epidemic. To fight this disease, Guizhou provincial authorities have made efforts to establish MDR-TB service system and perform the strategies for active case finding since 2014. The expanded case finding starting from 2019 and COVID-19 pandemic may affect the cases distribution. Thus, this study aims to analyze MDR-TB epidemic status from 2014 to 2020 for the first time in Guizhou in order to guide control strategies. Methods Data of notified MDR-TB cases were extracted from the National TB Surveillance System correspond to population information for each county of Guizhou from 2014 to 2020. The percentage change was calculated to quantify the change of cases from 2014 to 2020. Time trend and seasonality of case series were analyzed by a seasonal autoregressive integrated moving average (SARIMA) model. Spatial–temporal distribution at county-level was explored by spatial autocorrelation analysis and spatial–temporal scan statistic. Results Guizhou has 9 prefectures and 88 counties. In this study, 1,666 notified MDR-TB cases were included from 2014–2020. The number of cases increased yearly. Between 2014 and 2019, the percentage increase ranged from 6.7 to 21.0%. From 2019 to 2020, the percentage increase was 62.1%. The seasonal trend illustrated that most cases were observed during the autumn with the trough in February. Only in 2020, a peak admission was observed in June. This may be caused by COVID-19 pandemic restrictions being lifted until May 2020. The spatial–temporal heterogeneity revealed that over the years, most MDR-TB cases stably aggregated over four prefectures in the northwest, covering Bijie, Guiyang, Liupanshui and Zunyi. Three prefectures (Anshun, Tongren and Qiandongnan) only exhibited case clusters in 2020. Conclusion This study identified the upward trend with seasonality and spatial−temporal clusters of MDR-TB cases in Guizhou from 2014 to 2020. The fast rising of cases and different distribution from the past in 2020 were affected by the expanded case finding from 2019 and COVID-19. The results suggest that control efforts should target at high-risk periods and areas by prioritizing resources allocation to increase cases detection capacity and better access to treatment.
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Affiliation(s)
- Wang Yun
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, Guizhou, China
| | - Chen Huijuan
- Department of Tuberculosis Prevention and Control, Guizhou Center for Disease Prevention and Control, Guiyang, Guizhou, China.
| | - Liao Long
- School of Medicine and Health Management, Guizhou Medical University, Guiyang, Guizhou, China
| | - Lu Xiaolong
- School of Medicine and Health Management, Guizhou Medical University, Guiyang, Guizhou, China
| | - Zhang Aihua
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, Guizhou, China
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Alame Emane AK, Guo X, Takiff HE, Liu S. Highly transmitted M. tuberculosis strains are more likely to evolve MDR/XDR and cause outbreaks, but what makes them highly transmitted? Tuberculosis (Edinb) 2021; 129:102092. [PMID: 34102584 DOI: 10.1016/j.tube.2021.102092] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 05/10/2021] [Accepted: 05/17/2021] [Indexed: 11/17/2022]
Abstract
Multi-Drug-Resistant strains of Mycobacterium tuberculosis (MDR-TB) are a serious obstacle to global TB eradication. While most MDR-TB strains are infrequently transmitted, a few cause large transmission clusters that contribute substantially to local MDR-TB burdens. Here we examine whether the known mutations in these strains can explain their success. Drug resistance mutations differ in fitness costs and strains can also acquire compensatory mutations (CM) to restore fitness, but some highly transmitted MDR strains have no CM. The acquisition of resistance mutations that maintain high transmissibility seems to occur by chance and are more likely in strains that are intrinsically highly transmitted and cause many cases. Modern Beijing lineage strains have caused several large outbreaks, but MDR outbreaks are also caused by ancient Beijing and lineage 4 strains, suggesting the lineage is less important than the characteristics of the individual strain. The development of fluoroquinolone resistance appears to represent another level of selection, in which strains must surmount unknown fitness costs of gyrA mutations. The genetic determinants of high transmission are poorly defined but may involve genes encoding proteins involved in molybdenum acquisition and the Esx systems. In addition, strains eliciting lower cytokine responses and producing more caseating granulomas may have advantages for transmission. Successful MDR/XDR strains generally evolve from highly transmitted drug sensitive parent strains due to selection pressures from deficiencies in local TB control programs. Until TB incidence is considerably reduced, there will likely be highly transmitted strains that develop resistance to any new antibiotic.
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Affiliation(s)
- Amel Kevin Alame Emane
- Shenzhen Nanshan Center for Chronic Disease Control, 7 Huaming Road, Nanshan, Shenzhen City, Guangdong Province, China.
| | - Xujun Guo
- Shenzhen Nanshan Center for Chronic Disease Control, 7 Huaming Road, Nanshan, Shenzhen City, Guangdong Province, China.
| | - Howard E Takiff
- Shenzhen Nanshan Center for Chronic Disease Control, 7 Huaming Road, Nanshan, Shenzhen City, Guangdong Province, China; Integrated Mycobacterial Pathogenomics Unit, Institut Pasteur, 28 Rue du Dr Roux, Paris, 75015, France; Laboratorio de Genética Molecular, CMBC, IVIC, Km. 11 Carr. Panamericana, Caracas, Venezuela.
| | - Shengyuan Liu
- Shenzhen Nanshan Center for Chronic Disease Control, 7 Huaming Road, Nanshan, Shenzhen City, Guangdong Province, China.
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11
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Zhao Y, Liu J. Facing the Challenge of Tuberculosis: Towards "End TB in China by 2035". China CDC Wkly 2021; 3:243-246. [PMID: 34594858 PMCID: PMC8392954 DOI: 10.46234/ccdcw2021.070] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 03/15/2021] [Indexed: 12/05/2022] Open
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Sun J, Li Q, Gao F, Xiang Z, Huang Q, Li L. Application of the Ilizarov technique for knee joint arthrodesis as a treatment for end-stage tuberculosis of the knee. BMC Musculoskelet Disord 2020; 21:579. [PMID: 32847561 PMCID: PMC7447600 DOI: 10.1186/s12891-020-03603-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 08/18/2020] [Indexed: 02/08/2023] Open
Abstract
Background With the global determination to eliminate tuberculosis (TB), the treatment for end-stage TB of the knee joint is still a great clinical challenge. This study aims to retrospectively determine the clinical and radiographic outcomes after use of the Ilizarov technique for knee joint arthrodesis as a treatment for end-stage knee TB. Methods Twenty-six patients with end-stage knee TB treated by external fixation with the Ilizarov fixator between 2012 and 2017 were examined. Anti-TB drugs were administered preoperatively, intraoperatively, and postoperatively. Clinical and radiologic examinations were performed for comprehensive evaluations, and these include C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), flexion and valgus angle of the knee, leg-length discrepancy, and Lysholm score. Results Twenty-four patients were followed up for an average of 5.8 years (2.2–7 years). All patients achieved bone fusion within a mean of 6.4 months (4–16 months). The ESR and CRP concentrations were observed to return to normal within 5.1 ± 1.1 months postoperatively. There was no recurrence of TB. At last follow-up, the mean leg-length discrepancy was 2.7 ± 1.4 cm, and the mean alignment was 8.7 ± 2.6° flexion and 5.3 ± 1.0° valgus. No patient had a significant rotational deformity. The average Lysholm score was seen to improve significantly from 36.8 ± 18.4 preoperatively to 79.5 ± 5.9 at final follow-up (p < 0.0001). Conclusion This study has demonstrated that the Ilizarov technique for knee joint arthrodesis as a treatment of end-stage knee TB achieved promising outcomes with minimal complications.
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Affiliation(s)
- Jiachen Sun
- Department of Orthopedics, West China Hospital, Sichuan University, Guoxue Lane 37, Chengdu, 610041, Sichuan Province, People's Republic of China
| | - Qiang Li
- Department of Orthopaedics, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, NO.20 Ximianqiao Cross Street, Chengdu, 610041, Sichuan, People's Republic of China
| | - Feng Gao
- Department of Orthopaedics, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, NO.20 Ximianqiao Cross Street, Chengdu, 610041, Sichuan, People's Republic of China
| | - Zhou Xiang
- Department of Orthopedics, West China Hospital, Sichuan University, Guoxue Lane 37, Chengdu, 610041, Sichuan Province, People's Republic of China
| | - Qi Huang
- Department of Orthopaedics, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, NO.20 Ximianqiao Cross Street, Chengdu, 610041, Sichuan, People's Republic of China.
| | - Lang Li
- Department of Orthopaedics, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, NO.20 Ximianqiao Cross Street, Chengdu, 610041, Sichuan, People's Republic of China.
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