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Montano C, Covarrubias S, Malekos E, Katzman S, Carpenter S. Identification and Functional Characterization of lncRNAs involved in Human Monocyte-to-Macrophage Differentiation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.20.599925. [PMID: 38979363 PMCID: PMC11230152 DOI: 10.1101/2024.06.20.599925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Long noncoding RNAs (lncRNAs) make up the largest portion of RNA produced from the human genome, but only a small fraction have any ascribed functions. Although the role of protein-coding genes in macrophage biology has been studied extensively, our understanding of the role played by lncRNAs in this context is still in its early stages. There are over 20,000 lncRNAs in the human genome therefore, attempting to select a lncRNA to characterize functionally can be a challenge. Here we describe two approaches to identify and functionally characterize lncRNAs involved in monocyte-to-macrophage differentiation. The first involves the use of RNA-seq to infer possible functions and the second involves a high throughput functional screen. We examine the advantages and disadvantages of these methodologies and the pipelines for validation that assist in determining functional lncRNAs.
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Gupta VK, Vaishnavi VV, Arrieta-Ortiz ML, P S A, K M J, Jeyasankar S, Raghunathan V, Baliga NS, Agarwal R. 3D Hydrogel Culture System Recapitulates Key Tuberculosis Phenotypes and Demonstrates Pyrazinamide Efficacy. Adv Healthc Mater 2024:e2304299. [PMID: 38655817 DOI: 10.1002/adhm.202304299] [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: 12/04/2023] [Revised: 03/29/2024] [Indexed: 04/26/2024]
Abstract
The mortality caused by tuberculosis (TB) infections is a global concern, and there is a need to improve understanding of the disease. Current in vitro infection models to study the disease have limitations such as short investigation durations and divergent transcriptional signatures. This study aims to overcome these limitations by developing a 3D collagen culture system that mimics the biomechanical and extracellular matrix (ECM) of lung microenvironment (collagen fibers, stiffness comparable to in vivo conditions) as the infection primarily manifests in the lungs. The system incorporates Mycobacterium tuberculosis (Mtb) infected human THP-1 or primary monocytes/macrophages. Dual RNA sequencing reveals higher mammalian gene expression similarity with patient samples than 2D macrophage infections. Similarly, bacterial gene expression more accurately recapitulates in vivo gene expression patterns compared to bacteria in 2D infection models. Key phenotypes observed in humans, such as foamy macrophages and mycobacterial cords, are reproduced in the model. This biomaterial system overcomes challenges associated with traditional platforms by modulating immune cells and closely mimicking in vivo infection conditions, including showing efficacy with clinically relevant concentrations of anti-TB drug pyrazinamide, not seen in any other in vitro infection model, making it reliable and readily adoptable for tuberculosis studies and drug screening.
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Affiliation(s)
- Vishal K Gupta
- Department of Bioengineering, Indian Institute of Science, CV Raman Road, Bengaluru, Karnataka, 560012, India
| | - Vijaya V Vaishnavi
- Department of Bioengineering, Indian Institute of Science, CV Raman Road, Bengaluru, Karnataka, 560012, India
| | | | - Abhirami P S
- Department of Bioengineering, Indian Institute of Science, CV Raman Road, Bengaluru, Karnataka, 560012, India
| | - Jyothsna K M
- Department of Electrical Communication Engineering, Indian Institute of Science, CV Raman Road, Bengaluru, Karnataka, 560012, India
| | - Sharumathi Jeyasankar
- Department of Bioengineering, Indian Institute of Science, CV Raman Road, Bengaluru, Karnataka, 560012, India
| | - Varun Raghunathan
- Department of Electrical Communication Engineering, Indian Institute of Science, CV Raman Road, Bengaluru, Karnataka, 560012, India
| | - Nitin S Baliga
- Institute of Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA
| | - Rachit Agarwal
- Department of Bioengineering, Indian Institute of Science, CV Raman Road, Bengaluru, Karnataka, 560012, India
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Pinello N, Song R, Lee Q, Calonne E, Larance M, Fuks F, Wong JJL. A multiomics dataset for the study of RNA modifications in human macrophage differentiation and polarisation. Sci Data 2024; 11:252. [PMID: 38418823 PMCID: PMC10902381 DOI: 10.1038/s41597-024-03076-8] [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] [Received: 09/26/2023] [Accepted: 02/14/2024] [Indexed: 03/02/2024] Open
Abstract
RNA modifications have emerged as central regulators of gene expression programs. Amongst RNA modifications are N6-methyladenosine (m6A) and RNA 5-hydroxymethylcytosine (5hmC). While m6A is established as a versatile regulator of RNA metabolism, the functions of RNA 5hmC are unclear. Despite some evidence linking RNA modifications to immunity, their implications in gene expression control in macrophage development and functions remain unclear. Here we present a multi-omics dataset capturing different layers of the gene expression programs driving macrophage differentiation and polarisation. We obtained mRNA-Seq, m6A-IP-Seq, 5hmC-IP-Seq, Polyribo-Seq and LC-MS/MS data from monocytes and resting-, pro- and anti-inflammatory-like macrophages. We present technical validation showing high quality and correlation between samples for all datasets, and evidence of biological consistency of modelled macrophages at the transcriptomic, epitranscriptomic, translational and proteomic levels. This multi-omics dataset provides a resource for the study of RNA m6A and 5hmC in the context of macrophage biology and spans the gene expression process from transcripts to proteins.
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Affiliation(s)
- Natalia Pinello
- Epigenetics and RNA Biology Program Centenary Institute, The University of Sydney, Camperdown, 2050, Australia
- Faculty of Medicine and Health, The University of Sydney, Camperdown, 2050, Australia
| | - Renhua Song
- Epigenetics and RNA Biology Program Centenary Institute, The University of Sydney, Camperdown, 2050, Australia
- Faculty of Medicine and Health, The University of Sydney, Camperdown, 2050, Australia
| | - Quintin Lee
- Epigenetics and RNA Biology Program Centenary Institute, The University of Sydney, Camperdown, 2050, Australia
- Faculty of Medicine and Health, The University of Sydney, Camperdown, 2050, Australia
| | - Emilie Calonne
- Laboratory of Cancer Epigenetics, Faculty of Medicine, ULB Cancer Research Center (U-CRC), Jules Bordet Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Mark Larance
- Charles Perkins Centre, School of Medical Sciences, The University of Sydney, Camperdown, 2050, New South Wales, Australia
| | - François Fuks
- Laboratory of Cancer Epigenetics, Faculty of Medicine, ULB Cancer Research Center (U-CRC), Jules Bordet Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Justin J-L Wong
- Epigenetics and RNA Biology Program Centenary Institute, The University of Sydney, Camperdown, 2050, Australia.
- Faculty of Medicine and Health, The University of Sydney, Camperdown, 2050, Australia.
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Zhou N, Zhang Y, Jiao Y, Nan J, Xia A, Mu B, Lin G, Li X, Zhang S, Yang S, Li L. Discovery of a novel pyroptosis inhibitor acting though modulating glutathionylation to suppress NLRP3-related signal pathway. Int Immunopharmacol 2024; 127:111314. [PMID: 38081102 DOI: 10.1016/j.intimp.2023.111314] [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: 09/23/2023] [Revised: 11/23/2023] [Accepted: 11/26/2023] [Indexed: 01/18/2024]
Abstract
Pyroptosis is a proinflammatory type of regulated cell death and has been involved in many pathological processes. Inhibition of pyroptosis is thought to be a promising strategy for the treatment of related diseases. Here, we performed a phenotypic screening against NLRP3-dependent pyroptosis and obtained the novel compound N77 after structure optimization. N77 showed a half-maximal effective concentration (EC50) of 0.070 ± 0.008 μM against cell pyroptosis induced by nigericin, and exhibited a remarkable ability to prevent NLRP3-dependent inflammasome activation and the release of IL-1β. Chemical proteomics revealed the biological target of N77 to be glutathione-S-transferase Mu 1 (GSTM1); our mechanism of action studies indicated that GSTM1 might act as a negative regulator of NLRP3 inflammasome activation by modulating the glutathionylation of caspase-1. In vivo, N77 substantially alleviated the inflammatory reaction in a pyroptosis-related acute keratitis model. Overall, we identified a novel pyroptosis inhibitor and revealed a new regulatory mechanism of pyroptosis. Our findings suggest an alternative potential therapeutic strategy for pyroptosis-related diseases.
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Affiliation(s)
- Nenghua Zhou
- Key Laboratory of Drug Targeting and Drug Delivery System of Ministry of Education, West China School of Pharmacy, Sichuan University, Chengdu, 610041, China
| | - Yun Zhang
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China; Department of Ophthalmology and Macular Disease Research Laboratory, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yan Jiao
- Laboratory of Anaesthesia and Critical Care Medicine, Department of Anesthesiology, Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu China
| | - Jinshan Nan
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Anjie Xia
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China; Department of Ophthalmology and Macular Disease Research Laboratory, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Bo Mu
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China; Basic Medical College of North Sichuan Medical College, Nanchong, Sichuan 637000, China
| | - Guifeng Lin
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xun Li
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China; Department of Ophthalmology and Macular Disease Research Laboratory, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Shanshan Zhang
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Shengyong Yang
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China.
| | - Linli Li
- Key Laboratory of Drug Targeting and Drug Delivery System of Ministry of Education, West China School of Pharmacy, Sichuan University, Chengdu, 610041, China.
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Huang T, Wang X, Mi Y, Wu W, Xu X, Li C, Wen Y, Li B, Li Y, Sun L, Li J, Wang M, Liu T, Wang S, Liang M. Time-Course Transcriptome Analysis Reveals Distinct Phases and Identifies Two Key Genes during Severe Fever with Thrombocytopenia Syndrome Virus Infection in PMA-Induced THP-1 Cells. Viruses 2023; 16:59. [PMID: 38257759 PMCID: PMC10819900 DOI: 10.3390/v16010059] [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] [Received: 10/30/2023] [Revised: 12/23/2023] [Accepted: 12/25/2023] [Indexed: 01/24/2024] Open
Abstract
In recent years, there have been significant advancements in the research of Severe Fever with Thrombocytopenia Syndrome Virus (SFTSV). However, several limitations and challenges still exist. For instance, researchers face constraints regarding experimental conditions and the feasibility of sample acquisition for studying SFTSV. To enhance the quality and comprehensiveness of SFTSV research, we opted to employ PMA-induced THP-1 cells as a model for SFTSV infection. Multiple time points of SFTSV infection were designed to capture the dynamic nature of the virus-host interaction. Through a comprehensive analysis utilizing various bioinformatics approaches, including diverse clustering methods, MUfzz analysis, and LASSO/Cox machine learning, we performed dynamic analysis and identified key genes associated with SFTSV infection at the host cell transcriptomic level. Notably, successful clustering was achieved for samples infected at different time points, leading to the identification of two important genes, PHGDH and NLRP12. And these findings may provide valuable insights into the pathogenesis of SFTSV and contribute to our understanding of host-virus interactions.
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Affiliation(s)
- Tao Huang
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Xueqi Wang
- Capital Institute of Pediatrics, Beijing 100020, China;
| | - Yuqian Mi
- Shanxi Academy of Advanced Research and Innovation, Taiyuan 030032, China;
| | - Wei Wu
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Xiao Xu
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Chuan Li
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Yanhan Wen
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Boyang Li
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Yang Li
- Chongqing Research Institute of Big Data, Peking University, Chongqing 400039, China
| | - Lina Sun
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Jiandong Li
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Mengxuan Wang
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Tiezhu Liu
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Shiwen Wang
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Mifang Liang
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
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De-Leon-Lopez YS, Thompson ME, Kean JJ, Flaherty RA. The PI3K-Akt pathway is a multifaceted regulator of the macrophage response to diverse group B Streptococcus isolates. Front Cell Infect Microbiol 2023; 13:1258275. [PMID: 37928185 PMCID: PMC10622663 DOI: 10.3389/fcimb.2023.1258275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 09/25/2023] [Indexed: 11/07/2023] Open
Abstract
Group B Streptococcus (GBS), also known as Streptococcus agalactiae, is a common member of the microbial flora in healthy individuals. However, problems may arise when GBS-colonized mothers become pregnant. GBS may be transferred from a colonized mother to her newborn or developing fetus, which may result in complications such as miscarriage, pre-term birth, meningitis, pneumonia, or sepsis. Macrophages play an especially important role in the fetal and newborn response to GBS due to the limited development of the adaptive immune system early in life. The goal of this study was to expand what is currently known about how GBS manipulates macrophage cell signaling to evade the immune system and cause disease. To this end, we investigated whether the PI3K-Akt pathway was involved in several key aspects of the macrophage response to GBS. We explored whether certain GBS strains, such as sequence type (ST)-17 strains, rely on this pathway for the more rapid macrophage uptake they induce compared to other GBS strains. Our findings suggest that this pathway is, indeed, important for macrophage uptake of GBS. Consistent with these findings, we used immunofluorescence microscopy to demonstrate that more virulent strains of GBS induce more actin projections in macrophages than less virulent strains. Additionally, we explored whether PI3K-Akt signaling impacted the ability of GBS to survive within macrophages after phagocytosis and whether this pathway influenced the survival rate of macrophages themselves following GBS infection. The PI3K-Akt pathway was found to promote the survival of both macrophages and intracellular GBS following infection. We also observed that inhibition of the PI3K-Akt pathway significantly reduced GBS-mediated activation of NFκB, which is a key regulator of cell survival and inflammatory responses. Overall, these insights into strain-dependent GBS-mediated manipulation of the PI3K-Akt pathway and its downstream targets in infected macrophages may provide new insights for the development of diagnostic and therapeutic tools to combat severe GBS disease.
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Affiliation(s)
| | | | | | - Rebecca A. Flaherty
- Department of Biology and Health Science, Aquinas College, Grand Rapids, MI, United States
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Wang X, Lin R, Fu C, Yang C, Dong D, Wu X, Chen X, Wang L, Hou J. Echinococcus granulosus cyst fluid inhibits inflammatory responses through inducing histone demethylase KDM5B in macrophages. Parasit Vectors 2023; 16:321. [PMID: 37689671 PMCID: PMC10492338 DOI: 10.1186/s13071-023-05948-1] [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] [Received: 04/11/2023] [Accepted: 08/26/2023] [Indexed: 09/11/2023] Open
Abstract
BACKGROUND Echinococcus granulosus cyst fluid (EgCF) weakens macrophage inflammatory responses, thereby enabling the parasite to evade the immune system. However, the role of histone modification in this process remains to be explored. METHODS The levels of IL-6, TNF-α, IL-10, H3K4me3, and KDM5B were detected using quantitative real-time PCR, ELISA, and Western blotting. The enrichment of H3K4me3 and KDM5B at the promoter of inflammatory factors was detected by chromatin immunoprecipitation. RESULTS Based on EgCF-stimulated macrophage models, we found that EgCF significantly inhibited mRNA expression and protein secretion of IL-6 and TNF-α and upregulated mRNA expression of IL-10 under the influence of TLR4. EgCF lowered the level of H3K4me3 and promoted the transcription and protein stability of histone demethylase KDM5B. Chromatin immunoprecipitation analysis revealed that EgCF suppressed the enrichment of H3K4me3 modification at the promoters of TNF-α and IL-6 and downregulated their expression in macrophages. Additionally, the inhibition of KDM5B activity by CPI-455 weakened the anti-inflammatory effect of EgCF. CONCLUSIONS Our findings demonstrate a novel mechanism through which EgCF promotes KDM5B expression and inhibits the enrichment of H3K4me3 at the promoters of inflammatory cytokines to suppress the inflammatory response.
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Affiliation(s)
- Xiaopeng Wang
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Ruolin Lin
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Chunxue Fu
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Chun Yang
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Dan Dong
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Xiangwei Wu
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Xueling Chen
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Lianghai Wang
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China.
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China.
| | - Jun Hou
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China.
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China.
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