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Liu X, Li H, Wang Y, Li S, Ren W, Yuan J, Pang Y. Discovering common pathogenetic processes between tuberculosis and COVID-19 by bioinformatics and system biology approach. Heliyon 2024; 10:e28664. [PMID: 38596062 PMCID: PMC11002586 DOI: 10.1016/j.heliyon.2024.e28664] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 03/20/2024] [Accepted: 03/21/2024] [Indexed: 04/11/2024] Open
Abstract
Background SARS-CoV-2, the cause of the COVID-19 pandemic, poses a significant threat to humanity. Individuals with pulmonary tuberculosis (PTB) are at increased risk of developing severe COVID-19, due to long-term lung damage that heightens their susceptibility to full-blown disease. Methods Three COVID-19 datasets (GSE157103, GSE166253, and GSE171110) and one PTB dataset (GSE83456) were obtained from the Gene Expression Omnibus databases. Subsequently, data were subjected to weighted gene co-expression network analysis(WGCNA)followed by functional enrichment analysis using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway databases. These analyses revealed two overlapping disease-specific modules, each comprising co-regulated genes with potentially related biological functions. Using Cytoscape, we visualised the interaction network containing common disease-related genes found within the intersection between modules and predicted transcription factors (TFs). Real-time qPCR was conducted to quantify expression levels of these genes in blood samples from COVID-19 and PTB patients. Finally, DisGeNET and the Drug Signatures database were employed to analyze these common genes, unveiling their connections to clinical disease features and potential drug treatments. Results Examination of the overlap between COVID-19 and PTB gene modules unveiled 11 common genes. Functional enrichment analyses using KEGG and GO shed light on potential functional relationships among these genes, providing insights into their potential roles in the heightened mortality of PTB patients due to SARS-CoV-2 infection. Furthermore, results of various bioinformatics-based analyses of common TFs and target genes led to identification of shared pathways and therapeutic targets for PTB patients with COVID-19, along with potential drug treatments for these patients. Conclusion Our results unveiled a potential biological connection between COVID-19 and PTB, as supported by results of functional enrichment analysis that highlighted potential biological processes and signaling pathways shared by both diseases. Building on these findings, we propose potential drug treatments for PTB patients with COVID-19, pending verification of drug safety and efficacy through laboratory and multicentre studies before clinical use.
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Affiliation(s)
| | | | | | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Jinfeng Yuan
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
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Lateef AA, Azeez AA, Ren W, Hamisu HS, Oke OA, Asiegbu FO. Bacterial biota associated with the invasive insect pest Tuta absoluta (Meyrick). Sci Rep 2024; 14:8268. [PMID: 38594362 PMCID: PMC11003966 DOI: 10.1038/s41598-024-58753-w] [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: 11/23/2023] [Accepted: 04/02/2024] [Indexed: 04/11/2024] Open
Abstract
Tuta absoluta (the tomato pinworm) is an invasive insect pest with a highly damaging effect on tomatoes causing between 80 and 100% yield losses if left uncontrolled. Resistance to chemical pesticides have been reported in some T. absoluta populations. Insect microbiome plays an important role in the behavior, physiology, and survivability of their host. In a bid to explore and develop an alternative control method, the associated microbiome of this insect was studied. In this study, we unraveled the bacterial biota of T. absoluta larvae and adults by sequencing and analyzing the 16S rRNA V3-V4 gene regions using Illumina NovaSeq PE250. Out of 2,092,015 amplicon sequence variants (ASVs) recovered from 30 samples (15 larvae and 15 adults), 1,268,810 and 823,205 ASVs were obtained from the larvae and adults, respectively. A total of 433 bacterial genera were shared between the adults and larval samples while 264 and 139 genera were unique to the larvae and adults, respectively. Amplicon metagenomic analyses of the sequences showed the dominance of the phylum Proteobacteria in the adult samples while Firmicutes and Proteobacteria dominated in the larval samples. Linear discriminant analysis effect size (LEfSe) comparison revealed the genera Pseudomonas, Delftia and Ralstonia to be differentially enriched in the adult samples while Enterococcus, Enterobacter, Lactococcus, Klebsiella and Wiessella were differentially abundant in the larvae. The diversity indices showed that the bacterial communities were not different between the insect samples collected from different geographical regions. However, the bacterial communities significantly differed based on the sample type between larvae and adults. A co-occurrence network of significantly correlated taxa revealed a strong interaction between the microbial communities. The functional analysis of the microbiome using FAPROTAX showed that denitrification, arsenite oxidation, methylotrophy and methanotrophy as the active functional groups of the adult and larvae microbiomes. Our results have revealed the core taxonomic, functional, and interacting microbiota of T. absoluta and these indicate that the larvae and adults harbor a similar but transitory set of bacteria. The results provide a novel insight and a basis for exploring microbiome-based biocontrol strategy for this invasive insect pest as well as the ecological significance of some of the identified microbiota is discussed.
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Affiliation(s)
- A A Lateef
- Department of Forest Sciences, University of Helsinki, Helsinki, Finland.
- Department of Plant Biology, University of Ilorin, Kwara State, Ilorin, Nigeria.
| | - A A Azeez
- Department of Forest Sciences, University of Helsinki, Helsinki, Finland
- Rainforest Research Station, Forestry Research Institute of Nigeria, Jericho Hill, Ibadan, Nigeria
| | - W Ren
- Department of Forest Sciences, University of Helsinki, Helsinki, Finland
| | - H S Hamisu
- National Horticultural Research Institute, Ibadan, Nigeria
| | - O A Oke
- National Horticultural Research Institute, Ibadan, Nigeria
| | - F O Asiegbu
- Department of Forest Sciences, University of Helsinki, Helsinki, Finland
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Ren W, Ma Z, Li Q, Liu R, Ma L, Yao C, Shang Y, Zhang X, Gao M, Li S, Pang Y. Antigen-specific chemokine profiles as biomarkers for detecting Mycobacterium tuberculosis infection. Front Immunol 2024; 15:1359555. [PMID: 38510248 PMCID: PMC10950995 DOI: 10.3389/fimmu.2024.1359555] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 02/23/2024] [Indexed: 03/22/2024] Open
Abstract
Background Latent tuberculosis (TB) infection can progress to active TB, which perpetuates community transmission that undermines global TB control efforts. Clinically, interferon-γ release assays (IGRAs) are commonly used for active TB case detection. However, low IGRA sensitivity rates lead to false-negative results for a high proportion of active TB cases, thus highlighting IGRA ineffectiveness in differentiating MTB-infected individuals from healthy individuals. Methods Participants enrolled at Beijing Chest Hospital from May 2020-April 2022 were assigned to healthy control (HC), LTBI, IGRA-positive TB, and IGRA-negative TB groups. Screening cohort MTB antigen-specific blood plasma chemokine concentrations were measured using Luminex xMAP assays then were verified via testing of validation cohort samples. Results A total of 302 individuals meeting study inclusion criteria were assigned to screening and validation cohorts. Testing revealed significant differences in blood plasma levels of CXCL9, CXCL10, CXCL16, CXCL21, CCL1, CCL19, CCL27, TNF-α, and IL-4 between IGRA-negative TB and HC groups. Levels of CXCL9, CXCL10, IL-2, and CCL8 biomarkers were predictive for active TB, as reflected by AUC values of ≥0.9. CXCL9-based enzyme-linked immunosorbent assay sensitivity and specificity rates were 95.9% (95%CI: 91.7-98.3) and 100.0% (92.7-100.0), respectively. Statistically similar AUC values were obtained for CXCL9 and CXCL9-CXCL10 assays, thus demonstrating that combined analysis of CXCL10 and CXCL9 levels did not improve active TB diagnostic performance. Conclusion The MTB antigen stimulation-based CXCL9 assay may compensate for low IGRA diagnostic accuracy when used to diagnose IGRA-negative active TB cases and thus is an accurate and sensitive alternative to IGRAs for detecting MTB infection.
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Affiliation(s)
- Weicong Ren
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Zichun Ma
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Qiang Li
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Rongmei Liu
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Liping Ma
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Cong Yao
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Mengqiu Gao
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
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Ren W, Tan Y, Ma Z, Shang Y, Li S, Zhang X, Wang W, Yao C, Yuan J, Li L, Pang Y. In vitro susceptibility of nontuberculous mycobacteria in China. BMC Infect Dis 2024; 24:118. [PMID: 38262940 PMCID: PMC10804778 DOI: 10.1186/s12879-024-09016-6] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 01/11/2024] [Indexed: 01/25/2024] Open
Abstract
OBJECTIVES This study aimed to measure the prevalence of resistance to antimicrobial agents, and explore the risk factors associated with drug resistance by using nontuberculous Mycobacteria (NTM) isolates from China. METHODS A total of 335 NTM isolates were included in our analysis. Broth dilution method was used to determine in vitro drug susceptibility of NTM isolates. RESULTS Clarithromycin (CLA) was the most potent drug for Mycobacterium intracellulare (MI). The resistance rate of 244 MI isolates to CLA was 21%, yielding a minimum inhibitory concentrations (MIC)50 and MIC90 of 8 and 64 mg/L, respectively. 51% of 244 MI isolates exhibited resistance to amikacin (AMK). For 91 Mycobacterium abscessus complex (MABC) isolates, 6 (7%) and 49 (54%) isolates were categorized as resistant to CLA at day 3 and 14, respectively. The resistance rate to CLA for Mycobacterium abscessus subspecies abscessus (MAA) was dramatically higher than that for Mycobacterium abscessus subspecies massiliense (MAM). Additionally, the percentage of patients presenting fever in the CLA-susceptible group was significantly higher than that in the CLA-resistant group. CONCLUSIONS Our data demonstrate that approximate one fifth of MI isolates are resistant to CLA. We have identified a higher proportion of CLA-resistant MAA isolates than MAM. The patients caused by CLA-resistant MI are at low risk for presenting with fever relative to CLA-susceptible group.
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Affiliation(s)
- Weicong Ren
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis & Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Yaoju Tan
- Department of Clinical Laboratory, Guangzhou Chest Hospital, Guangzhou, China
| | - Zichun Ma
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis & Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis & Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis & Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis & Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Wei Wang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis & Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Cong Yao
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis & Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Jinfeng Yuan
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis & Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Liang Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis & Thoracic Tumor Research Institute, Capital Medical University, Beijing, China.
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis & Thoracic Tumor Research Institute, Capital Medical University, Beijing, China.
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Li H, Ren W, Liang Q, Zhang X, Li Q, Shang Y, Ma L, Li S, Pang Y. A novel chemokine biomarker to distinguish active tuberculosis from latent tuberculosis: a cohort study. QJM 2023; 116:1002-1009. [PMID: 37740371 PMCID: PMC10753411 DOI: 10.1093/qjmed/hcad214] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 09/12/2023] [Indexed: 09/24/2023] Open
Abstract
BACKGROUND Interferon-γ release assays (IGRAs), which are widely used to diagnose tuberculosis (TB), cannot effectively discriminate latent TB infection (LTBI) from active TB (ATB). This study aimed to identify potential antigen-specific biomarkers for differentiating LTBI cases from ATB cases. METHODS Ongoing recruitment was conducted of individuals meeting study inclusion criteria at Beijing Chest Hospital from May 2020 to April 2022; 208 participants were enrolled and assigned to three groups: HC (60 healthy controls), LTBI (52 subjects with LTBI) and ATB (96 ATB patients). After participants were assigned to the discovery cohort (20 or 21 subjects/group), all others were assigned to the verification cohort. Discovery cohort blood levels of 40 chemokines were measured using Luminex assays to identify chemokines that could be used to discriminate LTBI cases from ATB cases; candidate biomarkers were verified using enzyme-linked immunosorbent assay-based testing of validation cohort samples. RESULTS Luminex results revealed highest ATB group levels of numerous cytokines, growth factors and chemokines. Receiving operating characteristic curve-based analysis of 40 biomarkers revealed CCL8 (AUC = 0.890) and CXCL9 (AUC = 0.883) effectively discriminated between LTBI and TB cases; greatest diagnostic efficiency was obtained using both markers together (AUC = 0.929). Interpretation of CCL8 and CXCL9 levels for validation cohort IGRA-positive subjects (based on a 0.658-ng/ml cutoff) revealed ATB group CCL8-based sensitivity and specificity rates approaching 90.79% and 100.00%, respectively. CONCLUSION TB-specific chemokines hold promise as ATB diagnostic biomarkers. Additional laboratory confirmation is needed to establish whether CCL8-based assays can differentiate between ATB and LTBI cases, especially for bacteriologically unconfirmed TB cases.
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Affiliation(s)
- H Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Postal No. 9, Beiguan Street, Tongzhou District, Beijing 101149, People’s Republic of China
| | - W Ren
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Postal No. 9, Beiguan Street, Tongzhou District, Beijing 101149, People’s Republic of China
| | - Q Liang
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - X Zhang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Postal No. 9, Beiguan Street, Tongzhou District, Beijing 101149, People’s Republic of China
| | - Q Li
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Y Shang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Postal No. 9, Beiguan Street, Tongzhou District, Beijing 101149, People’s Republic of China
| | - L Ma
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - S Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Postal No. 9, Beiguan Street, Tongzhou District, Beijing 101149, People’s Republic of China
| | - Y Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Postal No. 9, Beiguan Street, Tongzhou District, Beijing 101149, People’s Republic of China
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Ren W, Guo X, Wang F, Zhang Z. Joint spatial-temporal association of response codes (STEARC) effect: Mental timelines embodied interpersonally. Psych J 2023; 12:793-800. [PMID: 37988606 DOI: 10.1002/pchj.699] [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: 08/10/2022] [Accepted: 08/31/2023] [Indexed: 11/23/2023]
Abstract
A co-action task was used to explore the effect of social interactions on temporal judgements, in comparison with an individual-task condition. In Experiment 1, the co-actors sat either individually (individual condition) or alongside a partner (joint condition) in front of a monitor and then responded to time-related words (e.g. yesterday, tomorrow). In Experiment 2, co-actors sat separately in front of two monitors and categorized the words either individually or jointly. Participants' response times to past- and future-related words in the individual conditions of both experiments had no significant difference. However, in the joint conditions, the responses were faster when the past-time words were mapped toward the participants on the left than when future-time words were mapped toward them. Our data support the existence of a specific mapping between past-time-left space and future-time-right space. This suggests that the two cooperators probably shared a similar mental timeline.
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Affiliation(s)
- Weicong Ren
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Xiujuan Guo
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Fusui Wang
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Zhijie Zhang
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
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Liu M, Chang N, Zhang S, Du Y, Zhang X, Ren W, Sun J, Bai J, Wang L, Zhang G. Identification of vulnerable carotid plaque with CT-based radiomics nomogram. Clin Radiol 2023; 78:e856-e863. [PMID: 37633746 DOI: 10.1016/j.crad.2023.07.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 07/08/2023] [Accepted: 07/26/2023] [Indexed: 08/28/2023]
Abstract
AIM To develop and validate a radiomics nomogram for identifying high-risk carotid plaques on computed tomography (CT) angiography (CTA). MATERIALS AND METHODS A total of 280 patients with symptomatic (n=131) and asymptomatic (n=139) carotid plaques were divided into a training set (n=135), validation set (n=58), and external test set (n=87). Radiomic features were extracted from CTA images. A radiomics model was constructed based on selected features and a radiomics score (rad-score) was calculated. A clinical factor model was constructed by demographics and CT findings. A radiomics nomogram combining independent clinical factors and the rad-score was constructed. The diagnostic performance of three models was evaluated and validated by region of characteristic curves. RESULTS Calcification and maximum plaque thickness were the independent clinical factors. Twenty-four features were used to build the radiomics signature. In the validation set, the nomogram (area under the curve [AUC], 0.977; 95% CI, 0.899-0.999) performed better (p=0.017 and p=0.031) than the clinical factor model (AUC, 0.862; 95% CI, 0.746-0.938) and radiomics signature (AUC, 0.944; 95% CI, 0.850-0.987). In external test set, the nomogram (AUC, 0.952; 95% CI, 0.884-0.987) and radiomics signature (AUC, 0.932; 95% CI, 0.857-0.975) showed better discrimination capability (p=0.002 and p=0.037) than clinical factor model (AUC, 0.818; 95% CI, 0.721-0.892). CONCLUSION The CT-based nomogram showed satisfactory performance in identification of high-risk plaques in carotid arteries, and it may serve as a potential non-invasive tool to identify carotid plaque vulnerability and risk stratification.
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Affiliation(s)
- M Liu
- Department of Health Management, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
| | - N Chang
- Department of Medical Technology, Jinan Nursing Vocational College, No. 3636 Gangxi Road, Jinan 250021, Shandong, China
| | - S Zhang
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan China; Postgraduate Department, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, China
| | - Y Du
- Department of Health Management, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
| | - X Zhang
- Postgraduate Department, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, China
| | - W Ren
- Postgraduate Department, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, China
| | - J Sun
- Postgraduate Department, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, China
| | - J Bai
- Department of Computed Tomography, Liaocheng Traditional Chinese Medicine Hospital, Liaocheng, China
| | - L Wang
- Physical Examination Centre, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
| | - G Zhang
- Department of Health Management, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
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Ren W, Mao Y, Li S, Gao B, Fu X, Liu X, Zhu P, Shang Y, Li Y, Ma B, Sun L, Xu J, Pang Y. Rapid Mycobacterium abscessus antimicrobial susceptibility testing based on antibiotic treatment response mapping via Raman Microspectroscopy. Ann Clin Microbiol Antimicrob 2023; 22:94. [PMID: 37904155 PMCID: PMC10617219 DOI: 10.1186/s12941-023-00644-5] [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: 07/16/2023] [Accepted: 10/17/2023] [Indexed: 11/01/2023] Open
Abstract
OBJECTIVES Antimicrobial susceptibility tests (ASTs) are pivotal tools for detecting and combating infections caused by multidrug-resistant rapidly growing mycobacteria (RGM) but are time-consuming and labor-intensive. DESIGN We used a Mycobacterium abscessus-based RGM model to develop a rapid (24-h) AST from the beginning of the strain culture, the Clinical Antimicrobials Susceptibility Test Ramanometry for RGM (CAST-R-RGM). The ASTs obtained for 21 clarithromycin (CLA)-treated and 18 linezolid (LZD)-treated RGM isolates. RESULTS CAST-R-RGM employs D2O-probed Raman microspectroscopy to monitor RGM metabolic activity, while also revealing bacterial antimicrobial drug resistance mechanisms. The results of clarithromycin (CLA)-treated and linezolid (LZD)-treated RGM isolates exhibited 90% and 83% categorical agreement, respectively, with conventional AST results of the same isolates. Furthermore, comparisons of time- and concentration-dependent Raman results between CLA- and LZD-treated RGM strains revealed distinct metabolic profiles after 48-h and 72-h drug treatments, despite similar profiles obtained for both drugs after 24-h treatments. CONCLUSIONS Ultimately, the rapid, accurate, and low-cost CAST-R-RGM assay offers advantages over conventional culture-based ASTs that warrant its use as a tool for improving patient treatment outcomes and revealing bacterial drug resistance mechanisms.
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Affiliation(s)
- Weicong Ren
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Yuli Mao
- Single-Cell Center, Shandong Key Laboratory of Energy Genetics and Shandong Energy Institute, Qingdao Institute of Bioenergy and Bioprocess Technology, CAS Key Laboratory of Biofuels, Chinese Academy of Sciences, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Bo Gao
- Single-Cell Center, Shandong Key Laboratory of Energy Genetics and Shandong Energy Institute, Qingdao Institute of Bioenergy and Bioprocess Technology, CAS Key Laboratory of Biofuels, Chinese Academy of Sciences, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoting Fu
- Single-Cell Center, Shandong Key Laboratory of Energy Genetics and Shandong Energy Institute, Qingdao Institute of Bioenergy and Bioprocess Technology, CAS Key Laboratory of Biofuels, Chinese Academy of Sciences, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaolu Liu
- Single-Cell Center, Shandong Key Laboratory of Energy Genetics and Shandong Energy Institute, Qingdao Institute of Bioenergy and Bioprocess Technology, CAS Key Laboratory of Biofuels, Chinese Academy of Sciences, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Pengfei Zhu
- Single-Cell Center, Shandong Key Laboratory of Energy Genetics and Shandong Energy Institute, Qingdao Institute of Bioenergy and Bioprocess Technology, CAS Key Laboratory of Biofuels, Chinese Academy of Sciences, Qingdao, Shandong, China
- Qingdao Single-Cell Biotech, Co. Ltd, Qingdao, Shandong, China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Yuandong Li
- Single-Cell Center, Shandong Key Laboratory of Energy Genetics and Shandong Energy Institute, Qingdao Institute of Bioenergy and Bioprocess Technology, CAS Key Laboratory of Biofuels, Chinese Academy of Sciences, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Bo Ma
- Single-Cell Center, Shandong Key Laboratory of Energy Genetics and Shandong Energy Institute, Qingdao Institute of Bioenergy and Bioprocess Technology, CAS Key Laboratory of Biofuels, Chinese Academy of Sciences, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Luyang Sun
- Single-Cell Center, Shandong Key Laboratory of Energy Genetics and Shandong Energy Institute, Qingdao Institute of Bioenergy and Bioprocess Technology, CAS Key Laboratory of Biofuels, Chinese Academy of Sciences, Qingdao, Shandong, China.
- University of Chinese Academy of Sciences, Beijing, China.
| | - Jian Xu
- Single-Cell Center, Shandong Key Laboratory of Energy Genetics and Shandong Energy Institute, Qingdao Institute of Bioenergy and Bioprocess Technology, CAS Key Laboratory of Biofuels, Chinese Academy of Sciences, Qingdao, Shandong, China.
- University of Chinese Academy of Sciences, Beijing, China.
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, China.
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Xu Z, Liang J, Fu R, Yang L, Xin Chen Y, Ren W, Lu Y, Qiu X, Gu Q. Effect of PD-L1 Expression for the PD-1/L1 Inhibitors on Non-small Cell Lung Cancer: A Meta-analysis Based on Randomised Controlled Trials. Clin Oncol (R Coll Radiol) 2023; 35:640-651. [PMID: 37563075 DOI: 10.1016/j.clon.2023.07.012] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 06/23/2023] [Accepted: 07/28/2023] [Indexed: 08/12/2023]
Abstract
AIMS As PD-L1 expression has been proposed as one of the cancer biomarkers for non-small cell lung cancer (NSCLC), the predictive value of tumour proportional score (TPS) in the effect of immunotherapy [programmed death protein-1/ligand 1 (PD-1/L1) inhibitors] for NSCLC is worth exploring further. Here, we aimed to summarise the outcomes of current NSCLC randomised controlled trials (RCTs) and explore the predictive value of TPS in clinical immunotherapy, including immune checkpoint inhibitors (ICIs) with or without chemotherapy. MATERIALS AND METHODS RCTs published by PubMed, Medline, Embase and Scopus before February 2023 comparing immunotherapy (PD-1/L1 with or without other therapy) versus a control group in advanced or metastatic NSCLC were included to assess the prognosis according to the patients' TPS with 1% and 50% as the thresholds. The primary endpoints were overall survival and progression-free survival. RESULTS In total, 28 RCTs containing 17 266 participants with advanced or metastatic NSCLC were included in this meta-analysis. Statistical results showed that compared with TPS <1%, ≥1% or within 1-49%, patients with TPS ≥50% benefited more significantly from the immunotherapy. A subgroup analysis showed that when TPS was <1%, ≥1% or within 1-49%, ICIs + chemotherapy had better efficacy than ICIs alone; PD-1 (such as pembrolizumab) inhibitors had better efficacy than PD-L1 inhibitors (such as atezolizumab). CONCLUSION The efficacy of immunotherapy (PD-1/L1 inhibitors) for advanced or metastatic NSCLC is influenced by TPS.
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Affiliation(s)
- Z Xu
- Department of Respiratory and Critical Care Medicine, Linhai Second People's Hospital, Taizhou, Zhejiang, China
| | - J Liang
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - R Fu
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - L Yang
- Emergency Medical Center, Ningbo Yinzhou No. 2 Hospital, Ningbo, Zhejiang, China
| | - Y Xin Chen
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - W Ren
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Y Lu
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - X Qiu
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Q Gu
- Department of Respiratory and Critical Care Medicine, Linhai Second People's Hospital, Taizhou, Zhejiang, China.
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Ren W, Han M, Zhang Z. Duration estimation abnormalities in unaffected first-degree relatives and individuals of schizophrenia. Schizophr Res 2023; 260:39-40. [PMID: 37598510 DOI: 10.1016/j.schres.2023.08.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 06/27/2023] [Accepted: 08/13/2023] [Indexed: 08/22/2023]
Affiliation(s)
- Weicong Ren
- Department of Psychology, Hebei Normal University, Shijiazhuang 050024, China
| | - Mingkun Han
- Mental Health and Social Welfare Center, Shijiazhuang 050011, China
| | - Zhijie Zhang
- Department of Psychology, Hebei Normal University, Shijiazhuang 050024, China.
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11
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Wu X, Liu K, Li S, Ren W, Wang W, Shang Y, Zhang F, Huang Y, Pang Y, Gao M. Integrated bioinformatics analysis of dendritic cells hub genes reveal potential early tuberculosis diagnostic markers. BMC Med Genomics 2023; 16:214. [PMID: 37684607 PMCID: PMC10492340 DOI: 10.1186/s12920-023-01646-0] [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: 04/07/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Dendritic cells (DCs) are most potent antigen-processing cells and play key roles in host defense against Mycobacterium tuberculosis (MTB) infection. In this study, hub genes in DCs during MTB infection were first investigated using bioinformatics approaches and further validated in Monocyte-derived DCs. METHODS Microarray datasets were obtained from Gene Expression Omnibus (GEO) database. Principal component analysis (PCA) and immune infiltration analysis were performed to select suitable samples for further analysis. Differential analysis and functional enrichment analysis were conducted on DC samples, comparing live MTB-infected and non-infected (NI) groups. The CytoHubba plugin in Cytoscape was used to identify hub genes from the differentially expressed genes (DEGs). The expression of the hub genes was validated using two datasets and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) in human monocyte-derived DCs. Enzyme-linked immunosorbent assay (ELISA) was used to validate interferon (IFN) secretion. Transcription factors (TFs) and microRNAs (miRNAs) that interact with the hub genes were predicted using prediction databases. The diagnostic value of the hub genes was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC) values. RESULTS A total of 1835 common DEGs among three comparison groups (18 h, 48 h, 72 h after MTB infection) were identified. Six DEGs (IFIT1, IFIT2, IFIT3, ISG15, MX1, and RSAD2) were determined as hub genes. Functions enrichment analysis revealed that all hub genes all related to IFN response. RT-qPCR showed that the expression levels of six hub genes were significantly increased after DC stimulated by live MTB. According to the results of ELISA, the secretion of IFN-γ, but not IFN-α/β, was upregulated in MTB-stimulated DCs. AUC values of six hub genes ranged from 84 to 94% and AUC values of 5 joint indicators of two hub genes were higher than the two hub genes alone. CONCLUSION The study identified 6 hub genes associated with IFN response pathway. These genes may serve as potential diagnostic biomarkers in tuberculosis (TB). The findings provide insights into the molecular mechanisms involved in the host immune response to MTB infection and highlight the diagnostic potential of these hub genes in TB.
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Affiliation(s)
- Xiao Wu
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, P. R. China
| | - Kewei Liu
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, P. R. China
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, P. R. China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, P. R. China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, P. R. China
| | - Wei Wang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, P. R. China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, P. R. China
| | - Fuzhen Zhang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, P. R. China
| | - Yingying Huang
- Jining Medical University, Shandong, 272002, China
- Qingdao Mental Health Center, Shandong, 266034, China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, P. R. China.
| | - Mengqiu Gao
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, P. R. China.
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12
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Li Y, Ding X, Du Y, Li Y, Ren W, Lu Y, Shi Y, Sun H, Wang L, Li Y, Li X, Xie Y, Hong B. Genome-Directed Discovery of Bicyclic Cinnamoyl-Containing Nonribosomal Peptides with Anticoronaviral Activity from Streptomyces griseus. Org Lett 2023. [PMID: 37358471 DOI: 10.1021/acs.orglett.3c01683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
Two novel cinnamoyl-containing nonribosomal peptides (CCNPs) grisgenomycin A and B were identified in Streptomyces griseus NBRC 13350 (CGMCC 4.5718) and ATCC 12475, through genome mining using conserved adjacent LuxR family regulators as probes and activators. Notably, grisgenomycins represent a new group of bicyclic decapeptides featuring an unprecedented C-C bond between the tryptophan carbocycle and the cinnamoyl group. A plausible biosynthetic pathway for grisgenomycins was deduced by a bioinformatics analysis. Grisgenomycins exhibited activity against human coronaviruses at the micromolar level.
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Affiliation(s)
- Yihong Li
- CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Xiaotian Ding
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Yu Du
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Yihua Li
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Weicong Ren
- CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing 101149, People's Republic of China
| | - Yuan Lu
- CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Yuanyuan Shi
- CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Hongmin Sun
- CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Lifei Wang
- CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Yuhuan Li
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
- CAMS Key Laboratory of Antiviral Drug Research, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Xingxing Li
- CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Yunying Xie
- CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Bin Hong
- CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
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13
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Liu Y, Ren W, Xue Z, Miao Y, Wang W, Zhang X, Yao C, Shang Y, Li S, Mi F, Pang Y. Real-time recombinase-aided amplification assay for rapid amplification of the IS1081 gene of Mycobacterium tuberculosis. Eur J Clin Microbiol Infect Dis 2023:10.1007/s10096-023-04626-5. [PMID: 37256455 DOI: 10.1007/s10096-023-04626-5] [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] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 05/23/2023] [Indexed: 06/01/2023]
Abstract
Mycobacterium tuberculosis (MTB), the etiological agent of tuberculosis (TB), is the leading cause of death due to a single infectious agent worldwide. Rapid and accurate diagnosis of MTB is critical for controlling TB especially in resource-limited countries, since any diagnosis delay increases the chances of transmission. Here, a real-time recombinase-aided amplification (RAA) assay targeting conserved positions in IS1081 gene of MTB, is successfully established to detect MTB. The intact workflow was completed within 30 min at 42 °C with no cross-reactivity observed for non-tuberculous mycobacteria and other clinical bacteria, and the detection limit for recombinant plasmid of MTB IS1081 was 163 copies/reaction at 95% probability, which was approximately 1.5-fold increase in analytical sensitivity for the detection of MTB, compared to conventional quantitative real-time PCR (qPCR; 244 copies/reaction). Furthermore, the result of clinical performance evaluation revealed an increased sensitivity of RAA assay relative to qPCR was majorly noted in the specimens with low bacteria loads. Our results demonstrate that the developed real-time RAA assay is a convenient, sensitive, and low-cost diagnostic tool for the rapid detection of MTB.
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Affiliation(s)
- Yuanyuan Liu
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Zhongtan Xue
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Yuedong Miao
- Department of Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Wei Wang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Cong Yao
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Fengling Mi
- Department of Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
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14
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Li J, Shang S, Zhang M, Yue P, Ren W, Zhang P, Wang Z, Wu D. Effects of short-term -30° HDT on contrast sensitivity. Perception 2023:3010066231175829. [PMID: 37231630 DOI: 10.1177/03010066231175829] [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] [Indexed: 05/27/2023]
Abstract
Potential cognitive and physiological alterations due to space environments have been investigated in long-term space flight and various microgravity-like conditions, for example, head-down tilt (HDT), confinement, isolation, and immobilization. However, little is known about the influence of simulated microgravity environments on visual function. Contrast sensitivity (CS), which indicates how much contrast a person requires to see a target, is a fundamental feature of human vision. Here, we investigated how the CS changed by 1-h -30° HDT and determined the corresponding mechanisms with a perceptual template model. A quick contrast sensitivity function procedure was used to assess the CS at ten spatial frequencies and three external noise levels. We found that (1) relative to the + 30° head-up tilt (HUT) position, 1-h -30° HDT significantly deteriorated the CS at intermediate frequencies when external noise was present; (2) CS loss was not detected in zero- or high-noise conditions; (3) HDT-induced CS loss was characterized by impaired perceptual template; and (4) self-reported questionnaires indicated that subjects felt less pleasure and more excitement, less comfort and more fatigued by screen light, less comfort in the area around the eye, and serious symptoms such as piercing pain, blur acid, strain, eye burning, and dizziness after HDT. These findings improve our understanding of the negative effects of simulated microgravity on visual function and elucidate the potential risks of astronauts during space flight.
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Affiliation(s)
- Jing Li
- Hebei Normal University, China
| | | | | | | | | | | | | | - Di Wu
- Air Force Medical University, China
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15
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Guo H, An J, Li S, Ding B, Zhang Z, Shu W, Shang Y, Wang Y, Cheng K, Wang Y, Xue Z, Ren W, Pan J, Luo T, Pang Y. Transmission and resistome of extremely drug-resistant tuberculosis in Beijing, China: A retrospective population-based epidemiological study. J Infect Public Health 2023; 16:1193-1200. [PMID: 37271100 DOI: 10.1016/j.jiph.2023.05.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 11/25/2022] [Revised: 01/10/2023] [Accepted: 05/17/2023] [Indexed: 06/06/2023] Open
Abstract
BACKGROUND In this study, we utilized whole genome sequencing (WGS) of clinical extremely drug-resistant tuberculosis (EDR-TB) strains collected during 2014-2020 in Beijing to detect clustered strains. METHODS A retrospective cohort study was conducted by inclusion of EDR-TB patients with positive cultures in Beijing between 2014 and 2020. RESULTS A total of 95 EDR-TB patients were included in our analysis. Up on the WGS based genotyping, 94 (94/95, 98.9%) out of 95 were identified as lineage 2 (East Asia). The pairwise genomic distance analysis identified 7 clusters, ranging in size from 2 to 5 isolates. The clustering rate of EDR-TB was 21.1%; while no patients had significantly higher odds of clustering. All isolates harbor rpoB RRDR mutations that confer RIF resistance and katG or inhA promoter mutations that confer INH resistance. Of 95 EDR-TB isolates, a total of 15 mutation types were recorded in the transcriptional regulator mmpR5. In vitro susceptibility testing results revealed that 14 (14/15, 93.3%) out of 15 mutation types were resistant to CFZ; whereas only 3 (3/15, 20.0%) showed resistance to BDQ. Interestingly, 12 isolates harbored mutations within rrl locus, whereas only mutations at positions 2294 and 2296 conferred CLA resistance. Favorable outcomes of EDR-TB patients were positively associated with more effective drugs in the regimes. CONCLUSION WGS data demonstrate limited transmission of EDR-TB in this metropolis city. WGS-based drug susceptibility predictions will bring benefits to EDR-TB patients to formulate optimal therapeutic regimens.
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Affiliation(s)
- Haiping Guo
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Postal No 9, Beiguan Street, Tongzhou District, Beijing 101149, PR China
| | - Jun An
- Medical Record Department, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing 101149, PR China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Postal No 9, Beiguan Street, Tongzhou District, Beijing 101149, PR China
| | - Beichuan Ding
- Clinical Center on TB, Beijing Institute of Tuberculosis Control, Beijing 101149, PR China
| | - Zhiguo Zhang
- Clinical laboratory, Beijing Changping District Tuberculosis Prevention and Control Institute, Beijing 101149, PR China
| | - Wei Shu
- Clinical Center on TB, Beijing Chest Hospital, Capital Medical University/ Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing 101149, PR China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Postal No 9, Beiguan Street, Tongzhou District, Beijing 101149, PR China
| | - Yi Wang
- Laboratory of Infection and Immunity, Department of Pathogen Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Postal No 17, People's South Road, Chengdu 610041, PR China
| | - Ken Cheng
- Laboratory of Infection and Immunity, Department of Pathogen Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Postal No 17, People's South Road, Chengdu 610041, PR China
| | - Yufeng Wang
- Department of Laboratory Quality Control, Innovation Alliance on Tuberculosis Diagnosis and Treatment (Beijing), Beijing 101149, PR China
| | - Zhongtan Xue
- Department of Laboratory Quality Control, Innovation Alliance on Tuberculosis Diagnosis and Treatment (Beijing), Beijing 101149, PR China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Postal No 9, Beiguan Street, Tongzhou District, Beijing 101149, PR China
| | - Junhua Pan
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Postal No 9, Beiguan Street, Tongzhou District, Beijing 101149, PR China.
| | - Tao Luo
- Laboratory of Infection and Immunity, Department of Pathogen Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Postal No 17, People's South Road, Chengdu 610041, PR China.
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Postal No 9, Beiguan Street, Tongzhou District, Beijing 101149, PR China.
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16
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Zhang P, Ren W, Meng H, Wang J, Lu Q, Chen G, Li C, Li Y, Zhang S, Tao J, Wu D. An interaction effect of external noise and exposure duration on the spatial contrast sensitivity function. Psych J 2023. [PMID: 36914284 DOI: 10.1002/pchj.638] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 01/29/2023] [Indexed: 03/14/2023]
Abstract
It has been demonstrated that contrast sensitivity is sensitive to stimulus exposure duration. Here, we investigated how the duration effect on contrast sensitivity was modulated by the spatial frequency and intensity of external noise. Through a contrast detection task, the contrast sensitivity function under 10 spatial frequencies, three external noise, and two exposure duration conditions was measured. The temporal integration effect was defined by the difference in contrast sensitivity or the area under the log contrast sensitivity function between short and long exposure durations. We found that (1) the temporal integration effect was less pronounced in the zero-noise condition than in the low- or high-noise condition; (2) in the zero-noise condition, a stronger temporal integration effect was observed at high spatial frequencies; (3) in the high-noise condition, a stronger temporal integration effect was observed at low spatial frequencies; (4) the spatial-frequency-dependent transient or sustained mechanism is also sensitive to external noise level; and (5) perceptual template model analysis revealed that both decreased additive internal noise and an improved perceptual template accounted for the temporal integration effect, and these two factors were tuned to spatial frequency.
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Affiliation(s)
- Pan Zhang
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Weicong Ren
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Hu Meng
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Jialei Wang
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Qing Lu
- Library, Hebei Medical University, Shijiazhuang, China
| | - Ge Chen
- College of Art and Design, Zhengzhou University of Light Industry, Zhengzhou, China
| | - Chenxi Li
- School of Nursing, Yueyang Vocational Technical College, Yueyang, China
| | - Ying Li
- Department of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Healthy Children, Beijing, China
| | - Shilei Zhang
- Huihua College of Hebei Normal University, Shijiazhuang, China
| | - Jiayu Tao
- Department of Psychology, Chengde Medical University, Chengde, China
| | - Di Wu
- Department of Medical Psychology, Air Force Medical University, Xi'an, China
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Wu PY, Wang T, Chen BJ, Shi MK, Huang B, Wu ND, Qi L, Chang XF, Wang LF, Liu BR, Ren W. [Efficacy and safety of neoadjuvant chemotherapy combined with PD-1 antibody for esophageal squamous cell carcinoma in the real world]. Zhonghua Zhong Liu Za Zhi 2023; 45:170-174. [PMID: 36781239 DOI: 10.3760/cma.j.cn112152-20210806-00586] [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: 02/15/2023]
Abstract
Objective: To evaluate the efficacy and safety of neoadjuvant chemotherapy combined with programmed death-1 (PD-1) antibody in operable, borderline or potentially resectable locally advanced esophageal squamous cell carcinoma(ESCC) in the real world. Methods: The study retrospectively analyzed 28 patients with operable or potentially resectable locally advanced ESCC patients treated with preoperative chemotherapy combined with PD-1 inhibitor in Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School from April 2020 to March 2021. According to the clinical TNM staging system of the 8th edition of the American Joint Committee on Cancer, there were 1, 15, 10, 1 and 1 case of stage Ⅱ, Ⅲ, ⅣA, ⅣB and unknown stage respectively. The treatment was two cycle of dual drug chemotherapy regimen including taxane plus platinum or fluorouracil combined with PD-1 antibody followed by tumor response assessment and surgery if the patient was eligible for resection. Results: Of the 28 patients, 1, 2, 3 and 4 cycles of chemotherapy combined with PD-1 antibody treatment completed in 1, 21, 5, and 1 patient, respectively. Objective response rate (ORR) was 71.4% (20/28), and disease control rate (DCR) was 100% (28/28). The incidence of adverse events exceeding grade 3 levels was 21.4% (6/28), including 3 neutropenia, 1 leukopenia, 1 thrombocytopenia and 1 immune hepatitis. There was no treatment-related death. Of the 23 patients underwent surgery, R0 resection rate was 87.0% (20/23), 13 patients had down staged to the T1-2N0M0 I stage, the pCR rate was 17.3% (4/23), and the pCR rate of primary tumor was 21.7% (5/23). Four patients received definitive chemoradiotherapy. One patient rejected surgery and other treatment after achieved PR response. Conclusion: Neoadjuvant chemotherapy combined PD-1 inhibitor is safe and has high efficacy in operable, borderline or potentially resectable locally advanced ESCC, and it is a promising regimen.
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Affiliation(s)
- P Y Wu
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - T Wang
- Departement of General Thoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - B J Chen
- Departement of General Thoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - M K Shi
- Departement of General Thoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - B Huang
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - N D Wu
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - L Qi
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - X F Chang
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - L F Wang
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - B R Liu
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - W Ren
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
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Ren W, Zhou Y, Li H, Shang Y, Zhang X, Yuan J, Li S, Li C, Pang Y. Development and clinical evaluation of a CRISPR/Cas13a-based diagnostic test to detect Mycobacterium tuberculosis in clinical specimens. Front Microbiol 2023; 14:1117085. [PMID: 36819015 PMCID: PMC9935578 DOI: 10.3389/fmicb.2023.1117085] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 01/18/2023] [Indexed: 02/05/2023] Open
Abstract
Objective Tuberculosis diagnosis requires rapid, simple and highly sensitive methods. Clustered regularly interspaced short palindromic repeats (CRISPRs) and associated protein (Cas) systems are increasingly being used for clinical diagnostic applications, due to their high flexibility, sensitivity and specificity. We developed a sensitive Mycobacterium tuberculosis (MTB) complex polymerase chain reaction (PCR)-CRISPR/Cas13a detection method (CRISPR-MTB) and then evaluated its performance in detecting MTB in clinical specimens. Methods The conserved MTB IS1081 sequence was used to design CRISPR-derived RNAs (crRNAs) and T7 promoter sequencing-containing PCR primers for use in the CRISPR-MTB assay, then assay performance was evaluated using 401 clinical specimens. Results The CRISPR-MTB assay provided a low limit of detection of 1 target sequence copy/μL and excellent specificity. Furthermore, use of the assay to detect MTB in bronchoalveolar lavage fluid (BALF), sputum and pus samples provided superior sensitivity (261/268, 97.4%) as compared to sensitivities of acid-fast bacilli (130/268, 48.5%) and mycobacterial culture (192/268, 71.6%) assays, and comparable or greater sensitivity to that of GeneXpert MTB/RIF (260/268, 97.0%). Conclusion The CRISPR-MTB assay, which provides excellent sensitivity and specificity for MTB detection in sputum, BALF and pus samples, is a viable alternative to conventional tests used to diagnose TB in resource-limited settings.
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Affiliation(s)
- Weicong Ren
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - You Zhou
- Chest Hospital of Guangxi Zhuang Autonomous Region, Liuzhou, Guangxi, China
| | - Haoran Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Jinfeng Yuan
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China,*Correspondence: Shanshan Li, ✉
| | - Chuanyou Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China,Department of Tuberculosis, Beijing Center for Disease Prevention and Control, Beijing, China,Chuanyou Li, ✉
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China,Yu Pang, ✉
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Hu X, Shi Y, Jiang B, Fu J, Li X, Li S, Sun G, Ren W, Hu X, You X, Liu Z, Han X, Zhang T, Hong B, Wu L. Iterative Methylation Leads to 3-Methylchuangxinmycin Production in Actinoplanes tsinanensis CPCC 200056. J Nat Prod 2023; 86:1-7. [PMID: 36649560 DOI: 10.1021/acs.jnatprod.2c00360] [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] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
A new congener of chuangxinmycin (CM) was identified from Actinoplanes tsinanensis CPCC 200056. Its structure was determined as 3-methylchuangxinmycin (MCM) by 1D and 2D NMR. MCM could be generated in vivo from CM by heterologous expression of the vitamin B12-dependent radical SAM enzyme CxnA/A1 responsible for methylation of 3-demethylchuangxinmycin (DCM) in CM biosynthesis, indicating that CxnA/A1 could perform iterative methylation for MCM production. In vitro assays revealed significant activities of CM, DCM, and MCM against Mycobacterium tuberculosis H37Rv and clinically isolated isoniazid/rifampin-resistant M. tuberculosis, suggesting that CM and its derivatives may have potential for antituberculosis drug development.
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Affiliation(s)
- Xiaomin Hu
- NHC Key Laboratory of Biotechnology of Antibiotics, and CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Yuanyuan Shi
- NHC Key Laboratory of Biotechnology of Antibiotics, and CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Bingya Jiang
- NHC Key Laboratory of Biotechnology of Antibiotics, and CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Jie Fu
- NHC Key Laboratory of Biotechnology of Antibiotics, and CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Xingxing Li
- NHC Key Laboratory of Biotechnology of Antibiotics, and CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Shufen Li
- NHC Key Laboratory of Biotechnology of Antibiotics, and CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Guizhi Sun
- NHC Key Laboratory of Biotechnology of Antibiotics, and CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Weicong Ren
- NHC Key Laboratory of Biotechnology of Antibiotics, and CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Xinxin Hu
- NHC Key Laboratory of Biotechnology of Antibiotics, and CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Xuefu You
- NHC Key Laboratory of Biotechnology of Antibiotics, and CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Zhiyong Liu
- State Key Laboratory of Respiratory Disease, China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China
| | - Xingli Han
- State Key Laboratory of Respiratory Disease, China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China
| | - Tianyu Zhang
- State Key Laboratory of Respiratory Disease, China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China
| | - Bin Hong
- NHC Key Laboratory of Biotechnology of Antibiotics, and CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Linzhuan Wu
- NHC Key Laboratory of Biotechnology of Antibiotics, and CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, People's Republic of China
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Ren W, Guo X, Huang J, Liu Q, Zhang Z. The influence of gaze direction on time perception: From the perspective of social perception. Front Psychol 2023; 13:967603. [PMID: 36760905 PMCID: PMC9907083 DOI: 10.3389/fpsyg.2022.967603] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 12/23/2022] [Indexed: 01/26/2023] Open
Abstract
Gazing is important during communication, which is a type of body language that differs from culture to culture. The present study investigated the influence of direct and averted gaze directions on the perceived duration of gazing among same-race and other-race faces. The gaze direction effect, in which direct-gazing faces were perceived to be longer than averted-gazing faces were, was found in the same-race condition but not in the other-race condition. The results could promote our understanding of the underlying mechanism of the gaze direction effect based on the perception of interpersonal social interaction.
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Gao T, Yao C, Shang Y, Su R, Zhang X, Ren W, Li S, Shu W, Pang Y, Li Q. Antimicrobial Effect of Oxazolidinones and Its Synergistic Effect with Bedaquiline Against Mycobacterium abscessus Complex. Infect Drug Resist 2023; 16:279-287. [PMID: 36683910 PMCID: PMC9850832 DOI: 10.2147/idr.s395750] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 01/06/2023] [Indexed: 01/15/2023] Open
Abstract
Purpose Unsatisfactory efficacies of currently recommended anti-Mycobacterium abscessus complex (MABC) treatment regimens have led to development of novel drugs to combat MABC infections. In this study, we evaluated in vitro antimicrobial activities of bedaquiline (BDQ) and four oxazolidinones against MABC isolates. Methods The resazurin microplate assay was performed to determine minimum inhibitory concentrations (MICs) of BDQ and four oxazolidinones, including tedizolid (TZD), sutezolid (SZD), delpazolid (DZD), and linezolid (LZD), against 65 MABC isolates. A checkerboard method was used to investigate efficacies of various antimicrobial drug combinations. Results BDQ MICs for MABC isolates ranged from <0.031 to 1 µg/mL, while MIC50 and MIC90 values were 0.125 µg/mL and 0.25 µg/mL, respectively. TZD MIC50 and MIC90 values for MABC isolates were 1 µg/mL and 4 µg/mL, respectively, which were fourfold lower than corresponding LZD values (P < 0.001). DZD MIC90 values for MABC isolates was 8 µg/mL, which were 0.5-fold lower than corresponding LZD values (P < 0.01). MICs of BDQ, SZD, and LZD for M. abscessus subspecies massiliense isolates were significantly lower than corresponding MICs for M. abscessus subspecies abscessus isolates (P < 0.05). Notably, use of oxazolidinones (DZD, SZD, LZD, or TZD) with BDQ against MABC isolates led to reduction of the oxazolidinone median MIC range from 4 to 0.125 µg/mL to 1-0.031 µg/mL. Conclusion These results demonstrated excellent BDQ inhibitory activity against MABC isolates. TZD exhibited stronger antimicrobial efficacy against MABC isolates as compared to efficacies of DZD, SZD, and LZD. Importantly, MICs of oxazolidinones were markedly decreased when they were combined with BDQ, thus suggesting that combinations of BDQ and oxazolidinones may be effective treatments for MABC infections.
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Affiliation(s)
- Tianhui Gao
- Department of Bacteriology and Immunology, Beijing Key Laboratory for Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of China
| | - Cong Yao
- Department of Bacteriology and Immunology, Beijing Key Laboratory for Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Key Laboratory for Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of China
| | - Renchun Su
- Department of Bacteriology and Immunology, Beijing Key Laboratory for Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Key Laboratory for Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Key Laboratory for Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory for Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of China
| | - Wei Shu
- Clinical Center on Tuberculosis Control, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Key Laboratory for Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of China
| | - Qi Li
- Clinical Center on Tuberculosis Control, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of China,Correspondence: Qi Li; Yu Pang, Beijing Chest Hospital, Capital Medical University, No. 97, Machang, Tongzhou District, Beijing, 101149, People’s Republic of China, Tel/Fax +86 010 6954 6690; +86 10 8950 9366, Email ;
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Ren W, Li H, Guo C, Shang Y, Wang W, Zhang X, Li S, Pang Y. Serum Cytokine Biomarkers for Use in Diagnosing Pulmonary Tuberculosis versus Chronic Pulmonary Aspergillosis. Infect Drug Resist 2023; 16:2217-2226. [PMID: 37081946 PMCID: PMC10112472 DOI: 10.2147/idr.s403401] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 04/04/2023] [Indexed: 04/22/2023] Open
Abstract
Background Aspergillus fumigatus-induced chronic pulmonary aspergillosis (CPA), the most common pulmonary tuberculosis (TB) sequela, tends to occur after pulmonary infection with the intracellular pathogen Mycobacterium tuberculosis (Mtb). Timely and accurate detection of A. fumigatus infection of pulmonary TB patients would undoubtedly greatly improve patient prognosis. Currently, the galactomannan (GM) antigen test is commonly used to detect A. fumigatus infection but has poor sensitivity that renders this assay inadequate for use in clinical practice. Design or Methods Given the fact CPA and TB induce different host immune responses, we evaluated serum cytokine level profiles of CPA, TB patients and patients with both diseases (CPA-TB) for multiple cytokines and cytokine combinations. Results The results revealed significantly higher serum levels of numerous proinflammatory cytokines, including IL-1β, IL-6, IL-8, IL-12p70, IFN-α, IFN-γ and TNF-α, in peripheral blood of CPA-TB patients versus that of TB patients. IL-8 levels alone provided the best discriminatory performance for distinguishing between TB and either CPA-TB patients (AUC = 0.949) or CPA patients (AUC = 0.964). Moreover, both IL-8 and TNF-α (AUC = 0.996) levels could be used to distinguish between TB and CPA-TB patients. Likewise, IL-8, TNF-α and IL-6 levels together could be used to distinguish between CPA-TB and TB patients. Conclusion In this study, multiple cytokines were identified that may serve as potential biomarkers for use in detecting TB patients with CPA. Furthermore, our results should enhance understanding of how immune system dysfunctions influence susceptibility to Mtb and/or A. fumigatus infections.
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Affiliation(s)
- Weicong Ren
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Haoran Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Can Guo
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People’s Republic of China
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Wei Wang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People’s Republic of China
- Correspondence: Yu Pang; Shanshan Li, Email ;
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Liang C, Li S, Yuan J, Song Y, Ren W, Wang W, Shang Y, Tang S, Pang Y. Attenuated Cytokine-Induced Memory-Like Natural Killer Cell Responses to Mycobacterium tuberculosis in Tuberculosis Patients. Infect Drug Resist 2023; 16:2349-2364. [PMID: 37101462 PMCID: PMC10124624 DOI: 10.2147/idr.s407742] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 04/15/2023] [Indexed: 04/28/2023] Open
Abstract
Purpose This study aimed to investigate the phenotype, proliferation and functional alterations of cytokine-induced memory-like natural killer (CIML NK) cells from healthy subjects and TB patients, and assessed the efficacy of CIML NK cells in response to H37Rv-infected U937 cells in vitro. Methods Fresh peripheral blood mononuclear cells (PBMCs) were isolated from healthy people and tuberculosis patients and activated for 16h using low-dose IL-15, or IL-12, IL-15, IL-18 combination or IL-12, IL-15, IL-18 and MTB H37Rv lysates, respectively, followed by low-dose IL-15 maintenance for another 7 days. Then, the PBMCs were co-cultured with K562 and H37Rv-infected U937, and the purified NK cells were co-cultured with H37Rv infected U937. The phenotype, proliferation and response function of CIML NK cells were assessed using flow cytometry. Finally, colony forming units were enumerated to confirm the survival of intracellular MTB. Results CIML NK phenotypes from TB patients were similar to healthy controls. CIML NK cells undergo higher rates of proliferation after IL-12/15/18 pre-activation. Moreover, the poor expansion potential of CIML NK cells co-stimulated with MTB lysates. CIML NK cells from healthy individuals showed enhanced IFN-γ functional to H37Rv infected U937 cells, along with significantly enhanced killing of H37Rv. However, the CIML NK cells from TB patients show attenuated IFN-γ production and now enhanced the ability of killing intracellular MTB compared to those from healthy donors after co-cultured with H37Rv infected U937. Conclusion CIML NK cells from healthy individuals exist the increased ability of IFN-γ secretion and boosted anti-MTB activity in vitro, which from TB patients show impaired IFN-γ production and no enhanced anti-MTB activity compared to those from healthy donors. Additionally, we observe the poor expansion potential of CIML NK cells co-stimulated with antigens from MTB. These results open up new possibilities for NK cell-based anti-tuberculosis immunotherapeutic strategies.
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Affiliation(s)
- Chen Liang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University /Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
- Tuberculosis Clinical Medical Center, Beijing Chest Hospital, Capital Medical University /Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University /Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Jinfeng Yuan
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University /Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Yanhua Song
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University /Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Wei Wang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University /Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University /Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Shenjie Tang
- Tuberculosis Clinical Medical Center, Beijing Chest Hospital, Capital Medical University /Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
- Correspondence: Shenjie Tang; Yu Pang, Beijing Chest Hospital, Capital Medical University, No. 97, Machang, Tongzhou District, Beijing, 101149, People’s Republic of China, Tel/Fax +86 010 8950 9367; +86 010 8950 9359, Email ;
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University /Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
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Li S, Guo J, Liu R, Zhang F, Wen S, Liu Y, Ren W, Zhang X, Shang Y, Gao M, Lu J, Pang Y. Predominance of Escherichia-Shigella in Gut Microbiome and Its Potential Correlation with Elevated Level of Plasma Tumor Necrosis Factor Alpha in Patients with Tuberculous Meningitis. Microbiol Spectr 2022; 10:e0192622. [PMID: 36350161 PMCID: PMC9769903 DOI: 10.1128/spectrum.01926-22] [Citation(s) in RCA: 6] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 10/12/2022] [Indexed: 11/11/2022] Open
Abstract
Tuberculous meningitis (TBM), the most lethal and disabling form of tuberculosis (TB), may be related to gut microbiota composition, warranting further study. Here we systematically compared gut microbiota compositions and blood cytokine profiles of TBM patients, pulmonary TB patients, and healthy controls. Notably, the significant gut microbiota dysbiosis observed in TBM patients was associated with markedly high proportions of Escherichia-Shigella species as well as increased blood levels of tumor necrosis factor alpha (TNF-α) and interleukin 6 (IL-6). Next, we obtained a fecal bacterial isolate from a TBM patient and administered it via oral gavage to mice in order to develop a murine gut microbiota dysbiosis model for use in exploring mechanisms underlying the observed relationship between gut microbial dysbiosis and TBM. Thereafter, cells of commensal Escherichia coli (E. coli) were isolated and administered to model mice by gavage and then mice were inoculated with Mycobacterium tuberculosis (M. tuberculosis). Subsequently, these mice exhibited increased blood TNF-α levels accompanied by downregulated expression of tight junction protein claudin-5, increased brain tissue bacterial burden, and elevated central nervous system inflammation relative to corresponding indicators in controls administered PBS by gavage. Thus, our results demonstrated that a signature dysbiotic gut microbiome profile containing a high proportion of E. coli was potentially associated with an increased circulating TNF-α level in TBM patients. Collectively, these results suggest that modulation of dysbiotic gut microbiota holds promise as a new strategy for preventing or alleviating TBM. IMPORTANCE As the most severe form of tuberculosis, the pathogenesis of tuberculous meningitis (TBM) is still unclear. Gut microbiota dysbiosis plays an important role in a variety of central nervous system diseases. However, the relationship between gut microbiota and TBM has not been identified. In our study, significant dysbiosis in gut microbiota composition with a high proportion of E. coli and increased levels of TNF-α in plasma was noted in TBM patients. A commensal E. coli was isolated and shown to increase the plasma level of TNF-α and downregulate brain tight junction protein claudin-5 in the murine model. Gavage administration of E. coli aggravated the bacterial burden and increased the inflammatory responses in the central nervous system after M. tuberculosis infection. Dysbiosis of gut microbiota may be a promising therapeutic target and biomarker for TBM prevention or treatment.
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Affiliation(s)
- Shanshan Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Jidong Guo
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People’s Republic of China
- Department of Infectious Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Rongmei Liu
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Fuzhen Zhang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Shu’an Wen
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Yi Liu
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Mengqiu Gao
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People’s Republic of China
| | - Jie Lu
- Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Head and Neck Surgery, MOE Key Laboratory of Major Diseases in Children, Beijing Pediatric Research Institute, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, People’s Republic of China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People’s Republic of China
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Liang C, Li X, Li Q, Zhang X, Ren W, Yao C, Pang Y, Liu Y, Li C, Tang S. Clinical isolates of Mycobacterium tuberculosis with different genotypes exhibit distinct host macrophage responses in vitro. J Med Microbiol 2022; 71. [PMID: 36748527 DOI: 10.1099/jmm.0.001604] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Introduction. Mycobacterium tuberculosis (M.tb), the causative agent of tuberculosis, can survive as an intracellular parasite after entering macrophages via phagocytosis. M.tb strains are genotypically distinct and engage in diverse pathogen-host interactions, with different host immune responses triggered by different M.tb strains. Importantly, differences in intracellular accumulation and triggering of host macrophage responses during early infection stages are key determinants that shape the final outcomes of host innate immune responses to different M.tb strains.Hypothesis/Gap Statement. Clinical M.tb strains with different genotypes elicit different host innate immune responses in vitro.Aim. This work aimed to compare host innate immune responses elicited by genotypically diverse, clinically derived M.tb strains in vitro.Methodology. RAW264.7 cells were infected with three lineage 2 and lineage 4 clinically derived M.tb strains and strain H37Rv. Strains were evaluated for differences in intracellular growth, induction of macrophage apoptosis, and induction of expression of proinflammatory cytokines and associated pattern recognition receptors.Results. Highly variable cytokine profiles were observed subsequent to RAW264.7 cell infection with the different strains. The Beijing genotype strain, a modern Beijing strain belonging to lineage 2, induced milder host proinflammatory responses and less apoptosis and exhibited greater intracellular growth as compared to the other strains. Moreover, mRNA expression levels of iNOS in Beijing and MANU2 genotype strains exceeded corresponding levels obtained for the T1 genotype strain. Meanwhile, mRNA expression levels of toll-like receptor (TLR)-encoding genes TLR2 and TLR7 in macrophages infected with the Beijing genotype strain were higher than corresponding levels observed in MANU2 genotype strain-infected macrophages.Conclusion. The higher intracellular survival rate and lower level of host cell apoptosis associated with macrophage infection with the Beijing genotype strain indicated greater virulence of this strain relative to that of the other strains. Furthermore, in vitro immune responses induced by the Beijing genotype strain were unique in that this strain induced a weaker inflammatory response than was induced by T1 or MANU2 genotype strains. Nevertheless, additional evidence is needed to confirm that Beijing genotype strains possess greater virulence than strains with other genotypes.
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Affiliation(s)
- Chen Liang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University & Beijing Tuberculosis and Thoracic Tumor Research Institute, Tongzhou District, Beijing, 101149, PR China
| | - Xiaomeng Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University & Beijing Tuberculosis and Thoracic Tumor Research Institute, Tongzhou District, Beijing, 101149, PR China
| | - Qiao Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University & Beijing Tuberculosis and Thoracic Tumor Research Institute, Tongzhou District, Beijing, 101149, PR China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University & Beijing Tuberculosis and Thoracic Tumor Research Institute, Tongzhou District, Beijing, 101149, PR China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University & Beijing Tuberculosis and Thoracic Tumor Research Institute, Tongzhou District, Beijing, 101149, PR China
| | - Cong Yao
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University & Beijing Tuberculosis and Thoracic Tumor Research Institute, Tongzhou District, Beijing, 101149, PR China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University & Beijing Tuberculosis and Thoracic Tumor Research Institute, Tongzhou District, Beijing, 101149, PR China
| | - Yi Liu
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University & Beijing Tuberculosis and Thoracic Tumor Research Institute, Tongzhou District, Beijing, 101149, PR China
| | - Chuanyou Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University & Beijing Tuberculosis and Thoracic Tumor Research Institute, Tongzhou District, Beijing, 101149, PR China
- Department of Tuberculosis, Beijing Center for Tuberculosis Research and Control, Beijing Center for Disease Prevention and Control, Xicheng District, Beijing 100035, PR China
| | - Shenjie Tang
- Tuberculosis Clinical Medical Center, Beijing Chest Hospital, Capital Medical University & Beijing Tuberculosis and Thoracic Tumor Research Institute, Tongzhou District, Beijing, 101149, PR China
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Qiao M, Li S, Yuan J, Ren W, Shang Y, Wang W, Liu R, Zhang F, Li Q, Wu X, Lu J, Gao M, Pang Y. Delamanid suppresses CXCL10 expression via regulation of JAK/STAT1 signaling and correlates with reduced inflammation in tuberculosis patients. Front Immunol 2022; 13:923492. [DOI: 10.3389/fimmu.2022.923492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 10/24/2022] [Indexed: 11/09/2022] Open
Abstract
BackgroundApart from bactericidal effects, anti-tuberculosis drugs can interfere with the host’s immune system. In this study, we analyzed the role of delamanid (DLM), an inhibitor of mycolic acid synthesis of mycobacterial cell wall, on human macrophages.MethodsBased on a cohort of multidrug-resistant tuberculosis (MDR-TB) patients treated with DLM, the levels of C-reaction protein (CRP) and cytokines in the plasma were monitored using immunoturbidimetric assay and flow cytometry, respectively. We investigated the role of DLM on CXCL10 expression in U937 cell model using the following methods: cell viability assay, reverse transcription-quantitative polymerase chain reaction, enzyme linked immunosorbent assay, immunoblot, and transwell co-culture assay.ResultsA total of 23 MDR-TB patients were included, comprising of 13 patients treated with optimized background therapeutic regimen (OBR) plus DLM regimen (OBR+DLM) and 10 patients treated with OBR plus placebo. DLM administration was associated with a significant reduce in circulating CRP level. Correspondingly, after treatment, the level of CXCL10 in patients treated with OBR+DLM was significantly lower than that with control. Using cell model, DLM dramatically suppressed CXCL10 expression, which majorly depended on inhibiting the JAK/STAT pathway, and impaired the migration of PBMCs.ConclusionOur data firstly demonstrate that DLM suppresses CXCL10 expression via regulation of JAK2/STAT1 signaling and correlates with reduced inflammation in MDR-TB patients. DLM could be used as a potential drug for immunotherapy of patients with overactive immune response due to CXCL10.
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Wang W, Li S, Ge Q, Guo H, Shang Y, Ren W, Wang Y, Xue Z, Lu J, Pang Y. Determination of critical concentration for drug susceptibility testing of Mycobacterium tuberculosis against para-aminosalicylic acid with clinical isolates with thyA, folC and dfrA mutations. Ann Clin Microbiol Antimicrob 2022; 21:48. [PMCID: PMC9637297 DOI: 10.1186/s12941-022-00537-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 10/18/2022] [Indexed: 11/07/2022] Open
Abstract
Abstract
Background & Objectives
Accurate determination of antimicrobial resistance profiles is of great importance to formulate optimal regimens against multidrug-resistant tuberculosis (MDR-TB). Although para-aminosalicylic acid (PAS) has been widely used clinically, the reliable testing methods for PAS susceptibility were not established. Herein, we aimed to establish critical test concentration for PAS on the Mycobacterial Growth Indicator Tube (MGIT) 960 in our laboratory settings.
Methods
A total of 102 clinical isolates were included in this study, including 82 wild-type and 20 resistotype isolates. Minimum inhibitory concentration (MIC) was determined by MGIT 960. Whole-genome sequencing was used to identify the mutation patterns potentially conferring PAS resistance. Sequence alignment and structure modelling were carried out to analyze potential drug-resistant mechanism of folC mutant.
Results
Overall, the Minimum inhibitory concentration (MIC) distribution demonstrated excellent separation between wild-type and resistotype isolates. The wild-type population were all at least 1 dilution below 4 μg/ml, and the resistotype population were no lower than 4 μg/ml, indicating that 4 μg/ml was appropriate critical concentration to separate these two populations. Of 20 mutant isolates, 12 (60.0%) harbored thyA mutations, 2 (10%) had a mutation on upstream of dfrA, and the remaining isolates had folC mutations. Overall, thyA and folC mutations were scattered throughout the whole gene without any one mutation predominating. All mutations within thyA resulted in high-level resistance to PAS (MIC > 32 μg/ml); whereas the MICs of isolates with folC mutations exhibited great diversity, ranged from 4 to > 32 μg/ml, and sequence and structure analysis partially provided the possible reasons for this diversity.
Conclusions
We propose 4 μg/ml as tentative critical concentration for MGIT 960. The major mechanism of PAS resistance is mutations within thyA and folC in MTB isolations. The whole-gene deletion of thyA locus confers high-level resistance to PAS. The diversity of many distinct mutations scattered throughout the full-length folC gene challenges the PCR-based mutation analysis for PAS susceptibility.
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Su S, Xuan Y, Fan X, Bao H, Tang H, Lv X, Ren W, Chen F, Wu X, Shao Y, Wang T, Wang L. 1681P Testing the generalizability of cfDNA fragmentomic features across different studies for cancer early detection. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1760] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Li Q, Ren W, Yuan J, Guo H, Shang Y, Wang W, Pan J, Gao M, Pang Y. Significant difference in Th1/Th2 paradigm induced by tuberculosis-specific antigens between IGRA-positive and IGRA-negative patients. Front Immunol 2022; 13:904308. [PMID: 36119060 PMCID: PMC9471257 DOI: 10.3389/fimmu.2022.904308] [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] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 08/04/2022] [Indexed: 11/13/2022] Open
Abstract
False negative interferon-γ release assay (IGRA) results constitute the major dilemma for the diagnosis of tuberculosis (TB) infections. Herein, we conducted a cohort study to compare the host immunological response to TB-specific antigens between active TB patients with positive and negative IGRA results and control groups. A total of 274 laboratory-confirmed TB patients were included in our analysis, consisting of 221 were IGRA positive and 53 were IGRA negative. Patients with the elderly were identified as an independent risk factor for negative IGRA results. In addition, the elevated level of IL-4 and the decreased levels of IFN-γ, IL-2, IL-6, IL-1β, and IL-12 in IGRA negative TB relative to IGRA positive TB group, demonstrating a significant difference in Th1/Th2 paradigm between two groups. The IFN-γ&IL-2 based assay could correctly identify 247 out of 307 MTB-infected individuals [271 TB patients and 36 individuals with latent TB infection (LTBI)], demonstrating a sensitivity of 80.5%. Then the IFN-γ and IL-4 were applied to distinguish healthy control and IGRA-negative group. When using the stepwise algorithm, the sensitivity for detecting Mycobacterium tuberculosis (MTB) infections was significantly increased from 80.5% to 89.6%. Additionally, patients with negative IGRA results had a conversion to culture-negative status longer than those with positive IGRA results. In conclusion, a stepwise algorithm outperforms IGRA assays to accurately identify MTB infections by the combination IFN-γ, IL-2, and IL-4. Further study is needed to evaluate the accuracy of our diagnostic algorithm in the LTBI population.
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Affiliation(s)
- Qiang Li
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
| | - Jinfeng Yuan
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
| | - Haiping Guo
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
| | - Wei Wang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
| | - Junhua Pan
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
- *Correspondence: Junhua Pan, ; Mengqiu Gao, ; Yu Pang,
| | - Mengqiu Gao
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
- *Correspondence: Junhua Pan, ; Mengqiu Gao, ; Yu Pang,
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
- *Correspondence: Junhua Pan, ; Mengqiu Gao, ; Yu Pang,
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Li X, Ren W, Li Y, Shi Y, Sun H, Wang L, Wu L, Xie Y, Du Y, Jiang Z, Hong B. Production of chain-extended cinnamoyl compounds by overexpressing two adjacent cluster-situated LuxR regulators in Streptomyces globisporus C-1027. Front Microbiol 2022; 13:931180. [PMID: 35992673 PMCID: PMC9381841 DOI: 10.3389/fmicb.2022.931180] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 07/04/2022] [Indexed: 11/17/2022] Open
Abstract
Natural products from microorganisms are important sources for drug discovery. With the development of high-throughput sequencing technology and bioinformatics, a large amount of uncharacterized biosynthetic gene clusters (BGCs) in microorganisms have been found, which show the potential for novel natural product production. Nine BGCs containing PKS and/or NRPS in Streptomyces globisporus C-1027 were transcriptionally low/silent under the experimental fermentation conditions, and the products of these clusters are unknown. Thus, we tried to activate these BGCs to explore cryptic products of this strain. We constructed the cluster-situated regulator overexpressing strains which contained regulator gene(s) under the control of the constitutive promoter ermE*p in S. globisporus C-1027. Overexpression of regulators in cluster 26 resulted in significant transcriptional upregulation of biosynthetic genes. With the separation and identification of products from the overexpressing strain OELuxR1R2, three ortho-methyl phenyl alkenoic acids (compounds 1-3) were obtained. Gene disruption showed that compounds 1 and 2 were completely abolished in the mutant GlaEKO, but were hardly affected by deletion of the genes orf3 or echA in cluster 26. The type II PKS biosynthetic pathway of chain-extended cinnamoyl compounds was deduced by bioinformatics analysis. This study showed that overexpression of the two adjacent cluster-situated LuxR regulator(s) is an effective strategy to connect the orphan BGC to its products.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Bin Hong
- NHC Key Laboratory of Biotechnology of Antibiotics, CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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Liu K, Wang D, Yao C, Qiao M, Li Q, Ren W, Li S, Gao M, Pang Y. Increased Tuberculosis Incidence Due to Immunotherapy Based on PD-1 and PD-L1 Blockade: A Systematic Review and Meta-Analysis. Front Immunol 2022; 13:727220. [PMID: 35663958 PMCID: PMC9162333 DOI: 10.3389/fimmu.2022.727220] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectivesIn this study, we conducted a systematic review to determine tuberculosis (TB) incidence due to immunotherapy with programmed cell death protein-1 (PD-1)/PD ligand (PD-L1) blockade in cancer patients.MethodsWe searched PubMed, Cochrance Library, Excerpt Medica Database (Embase), ClinicalTrials.gov, Chinese BioMedical Literature Database (CBM), China National Knowledge Infrastructure Database (CNKI), Wanfang and China Science and Technology Journal Database to identify studies between January 1, 2000 and April 30, 2021, on the reports of TB cases in patients treated with PD-1/PD-L1 blockade. Methodological quality of eligible studies was assessed, and random-effect model meta-analysis was performed to generate the pooled incidence estimate of TB cases in patients undergoing PD-1/PD-L1 therapy.ResultsWe initially identified 745 records, of which 27 studies ultimately met the inclusion criteria and were included in our meta-analysis. A total of 35 TB cases occurred among patients treated with PD-1/PD-L1 blockade. Nivolumab (51.4%) was the most frequently used PD-1/PD-L1 blockade for cancer treatment. In addition, pulmonary TB was the most common form of tuberculosis seen in 77.1% cases. Clinical outcomes were recorded in 18 patients, of whom 77.8% were cured or achieved remission, and 22.2% were died of TB. Pooled analysis determined that the TB rate in this population was 2,000 cases per 100,000 persons, and the estimated rate for TB associated with PD-1/PD-L1 blockade was 35 times higher than that in the general population.ConclusionTo conclude, our results demonstrate that the clinical use of PD-1/PD-L1 inhibitors significantly increases risk of TB reactivation. An extremely high mortality rate due to TB disease is noted in the patients with PD-1/PD-L1 blockade.
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Affiliation(s)
- Kewei Liu
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
| | - Dongpo Wang
- Department of Radiology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
| | - Cong Yao
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
| | - Min Qiao
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
| | - Qing Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
| | - Mengqiu Gao
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
- *Correspondence: Yu Pang, ; Mengqiu Gao,
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
- *Correspondence: Yu Pang, ; Mengqiu Gao,
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Wu X, Shang Y, Ren W, Wang W, Wang Y, Xue Z, Li S, Pang Y. Minimum inhibitory concentration of cycloserine against Mycobacterium tuberculosis using the MGIT 960 system and a proposed critical concentration. Int J Infect Dis 2022; 121:148-151. [PMID: 35577251 DOI: 10.1016/j.ijid.2022.05.030] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/10/2022] [Accepted: 05/10/2022] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVES We aimed to determine the breakpoint of cycloserine (CS) susceptibility in MGIT and to describe the molecular characteristics of CS-resistant Mycobacterium tuberculosis (MTB) isolates. METHODS A total of 124 MTB isolates were recruited in our analysis. Minimum inhibitory concentration (MIC) was determined using the MGIT system. The mutations of MTB isolates within alr, ddl, ald, and cycA, potentially conferring CS resistance were analyzed by the whole-genome sequencing. RESULTS In vitro drug susceptibility testing of isolates with doubling concentrations of CS revealed that the modal MIC values was 4 mg/L for MGIT, accounting for 35.5% (44/124) of isolates tested. Seven isolates harbored mutations conferring CS resistance, consisting of five with alr mutations and two with ald mutations. On the basis of the MIC distributions of wild-type and resistotype populations, we proposed a tentative epidemiologic cut-off value of 16 mg/l. The proportion of CS resistance in extensively drug-resistant TB was significantly higher than that of multidrug-resistant TB. CONCLUSION In conclusion, we propose critical concentration for MGIT 960 to properly diagnose CS-resistant MTB and demonstrate that mutations in alr and ald genes are the major mechanism conferring CS resistance in clinical isolates.
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Affiliation(s)
- Xiao Wu
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Wei Wang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yufeng Wang
- Innovation Alliance on Tuberculosis Diagnosis and Treatment, Beijing, People's Republic of China
| | - Zhongtan Xue
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, People's Republic of China.
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, People's Republic of China.
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Zhang P, Wang H, Ren W, Guo H, Yang J, Tao J, Yang Z, Li Y, Chen L, Zhang Y, Wu D. The Effect of Bangerter Filters on Visual Acuity and Contrast Sensitivity With External Noise. Front Neurosci 2022; 16:804576. [PMID: 35645725 PMCID: PMC9136063 DOI: 10.3389/fnins.2022.804576] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 04/29/2022] [Indexed: 11/13/2022] Open
Abstract
It is critical to address the relationship between density label of Bangerter filters and expected visual acuity, and how filters modulate contrast sensitivity (CS) at different spatial frequency and external noise levels. In the current study, the monocular visual acuity and CS at ten spatial frequencies and three noise levels were measured in normal subjects wearing no filters, 0.8, 0.4, or 0.2 Bangerter filters. Compared with the baseline condition (no filter worn), Bangerter filters degraded both visual acuity and contrast sensitivity function (CSF) in zero-noise conditions, but the reduction of both visual functions did not correlate with each other at any filter level. In addition, the stronger the filter was, the worse both visual functions became. In contrast, when external noise was present, filters improved the contrast sensitivity at low frequencies but deteriorated it at intermediate and high spatial frequencies. The perceptual template model was used to reveal the corresponding mechanism accounted for filter-induced visual function changes. Although the internal process in visual system should not be affected by the filters, the measurement of parameters was biased. To be specific, (1) the internal additive noise was elevated at all frequencies; (2) the perceptual template was improved at low spatial frequencies but impaired at intermediate spatial frequencies; and (3) the changes in both factors were highly dependent on filter intensity. We conclude that Bangerter filters influence visual acuity and contrast sensitivity differently and that their effect on contrast sensitivity depends on spatial frequency and noise.
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Affiliation(s)
- Pan Zhang
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Hanlin Wang
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Weicong Ren
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Huanhuan Guo
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Jiayi Yang
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Jiayu Tao
- Department of Psychology, Chengde Medical University, Chengde, China
| | - Zhijie Yang
- Department of Psychology, Chengde Medical University, Chengde, China
| | - Ying Li
- Department of Psychiatry, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
| | - Lijun Chen
- Department of Psychology, Shandong Normal University, Jinan, China
| | - Yajing Zhang
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Di Wu
- Department of Medical Psychology, Air Force Medical University, Xi’an, China
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Zhang P, Guo Y, Qiao Y, Yan N, Zhang Y, Ren W, Zhang S, Wu D. Acute Alcohol Intake Affects Internal Additive Noise and the Perceptual Template in Visual Perception. Front Neurosci 2022; 16:873671. [PMID: 35645717 PMCID: PMC9136069 DOI: 10.3389/fnins.2022.873671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 04/12/2022] [Indexed: 11/26/2022] Open
Abstract
A reduction in visual performance is among the serious consequences of acute alcohol intake. Contrast sensitivity (CS) is a fundamental feature of visual function. Here, we investigated the negative effect of a moderate dose of alcohol on CS across a wide range of spatial frequencies and with multiple levels of external noise and clarified the corresponding mechanisms in the context of a perceptual template model (PTM). To avoid the effect of alcohol washout, a quick contrast sensitivity function (qCSF) method was used to assess the visual performance of subjects before and 30 min after a moderate dose of alcohol intake. We found that (1) CS was significantly disrupted by acute alcohol intake; (2) alcohol-induced CS loss was dependent on spatial frequency and external noise; and (3) increased internal additive noise and an impaired perceptual template accounted for alcohol-induced CS loss. These results help us better understand the negative effect of alcohol consumption and provide guidance for driver safety studies.
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Affiliation(s)
- Pan Zhang
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Yeshuo Guo
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Yuxin Qiao
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Nan Yan
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Yajing Zhang
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Weicong Ren
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Shilei Zhang
- Huihua College, Hebei Normal University, Shijiazhuang, China
- *Correspondence: Shilei Zhang,
| | - Di Wu
- Military Medical Psychology School, Air Force Medical University, Xi’an, China
- Di Wu,
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Yang R, Cao W, Liu S, Li Q, Sun Y, Liang C, Ren W, Liu Y, Meng J, Li C. Evaluation of a novel inhibitor of aspartate semialdehyde dehydrogenase as a potent antitubercular agent against Mycobacterium tuberculosis. J Antibiot (Tokyo) 2022; 75:333-340. [DOI: 10.1038/s41429-022-00520-y] [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] [Received: 01/19/2022] [Revised: 03/10/2022] [Accepted: 03/11/2022] [Indexed: 11/09/2022]
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Wang N, Qin L, Zhang J, Xiao Y, Liu K, Cui Y, Xu F, Ren W, Yuan Y, Ning S, Zeng M, Ye X, Liang N, Xing C, Liu J. POS-838 PRE-CLINICAL RESEARCH OF HUMAN AMNION-DERIVED MESENCHYMAL STEM CELLS AND ITS FIRST CLINICAL TREATMENT FOR A SEVERE UREMIC CALCIPHYLAXIS PATIENT. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.01.875] [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: 11/30/2022] Open
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Huang L, Li H, Ren W, Zhang X, Shang Y, Liu Y, Liu A, Pang Y. Highly Discriminative Genotyping of Mycobacterium abscessus Complex Using a Set of Variable Number Tandem Repeats in China. Front Microbiol 2022; 12:802133. [PMID: 35173692 PMCID: PMC8841818 DOI: 10.3389/fmicb.2021.802133] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 12/15/2021] [Indexed: 11/20/2022] Open
Abstract
In this study, our aims were to comparatively analyze the power of variable number tandem repeat (VNTR) typing to discriminate isolates within subspecies and to identify a potential genetic marker for better molecular typing of Mycobacterium abscessus complex (MABC) strains. A total of 103 clinical MABC isolates were collected from a nationwide cross-sectional study in China. Eighteen VNTR loci were chosen to genotype the MABC isolates. Of the 103 clinical MABC isolates, there were 76 (73.8%) M. abscessus subsp. abscessus (MAA) and 27 (26.2%) M. abscessus subsp. massiliense (MAM) isolates. Among the patients with MAA lung diseases, the percentage of patients older than 45 years (67.1%) was significantly higher than that of patients with MAM lung diseases [33.3%, adjusted odds ratio (aOR) = 0.36, 95% CI = 0.13–0.98, p = 0.046]. Fifteen VNTR loci were designated as being “highly discriminant” in our sample, except for TR109. The total of 103 MABC isolates were fully discriminated into 103 unique patterns by an 18-locus VNTR set [Hunter–Gaston Discriminatory Index (HGDI) = 1.000], of which the inclusion of the top 12 loci yielded a comparative HGDI value (HGDI = 0.9998). Remarkably, the order of the diversity of the VNTR loci showed significant difference between the MAA and MAM isolates. TR137 and TR2, two loci with high diversity indices for the MAA isolates, only yielded poor discriminatory power for the MAM isolates; the allelic diversity (h) values were 0.0000 and 0.2621, respectively. A detailed analysis of TR137 in combination with the other 17 VNTR loci showed that the combination of TR137–TR2 could fully distinguish MAA from MAM isolates. In conclusion, our data revealed that MAA is more prone to affect elderly patients. Additionally, the population structure of the MABC isolates circulating in China has high diversity. The combined use of the TR137 and TR2 loci provides a simple criterion for the precise identification of MABC to the subspecies level.
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Affiliation(s)
- Lihua Huang
- Longtan Hospital of Guangxi Zhuang Autonomous Region, Liuzhou, China
| | - Haoran Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Yi Liu
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Aimei Liu
- Longtan Hospital of Guangxi Zhuang Autonomous Region, Liuzhou, China
- *Correspondence: Aimei Liu,
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
- Yu Pang,
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Zhang MY, Ren W, Chen SS, Zhang Q, Li CX, Wan JX, Lin JT. [Exploring and bioinformatics analysis of differentially expressed genes in bronchial asthma]. Zhonghua Yi Xue Za Zhi 2021; 101:3809-3813. [PMID: 34895422 DOI: 10.3760/cma.j.cn112137-20210607-01293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To screen core differentially expressed genes of bronchial asthma and conduct bioinformatics analysis. Methods: Macrophage microarray data GSE22528 from asthma patients were downloaded from gene expression database (GEO). The dataset included transcriptome information from 10 human alveolar lavage fluid samples, and five of them were from allergic asthmatic subjects and five from control subjects. Differential expression genes (DEGs) were screened by R 4.0.4 software. Gene ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed to select DEGs using DAVID 6.8 database. Protein interaction network (PPI) was constructed from DEGs encoded proteins using STRING online database. Cytoscape software was used to construct core modules and determine core DEGs. Results: Alveolar lavage fluid samples were all collected from Caucasian Canadians, with age range as (20, 37) and (18, 36) years, respectively, including 3 males for each group. In asthmatic patients, 449 genes were up-regulated and 47 down-regulated. GO analysis showed that the up-regulated genes in asthmatic patients were mainly involved in biological processes such as response to folded proteins, and the molecular function was focused on binding of folded proteins and growth factors. Down-regulated genes were mainly involved in biological processes such as histone deacetylation and ubiquitin-mediated protein degradation, and their molecular functions focused on histone deacetylation activity. KEGG pathway enrichment analysis showed that pathways were mainly enriched by up-regulation genes, involving Hippo signaling pathway, hypertrophic cardiomyopathy, estrogen signaling pathway, arrhythmogenic right ventricular cardiomyopathy, basal cell carcinoma, neuro-activated receptor ligand interaction, dilated cardiomyopathy and adhesion and connection signaling pathways. Two core modules were obtained by PPI analysis, and 14 core DEGs were screened out. They were pro-melanin concentrating hormone (PMCH), prepronociceptin (PNOC), Sphingosinol-1-phosphate receptor 2 (S1PR2), Sphingosinol-1-phosphate receptor 5 (S1PR5), CC-type chemokine ligand 21 (CCL21), Kelch-like protein 25 (KLHL25), ubiquitin binding enzyme E2V2 (UBE2V2), F-box protein 17 (FBXO17), taste receptor type 2 member 3 (TAS2R3), somatostatin receptor 2 (SSTR2), metabolic glutamate receptor 2 (GRM2), Lister E3 ubiquitin protein ligase 1 (LTN1), LIM domain specific protein 7 (LMO7) and ring finger protein 19A gene(RNF19A), in which LTN1 and UBE2V2 were down-regulated and the rest were up-regulated. Conclusion: DEGs was found in macrophages of asthmatic and control individuals. PMCH, PNOC, S1PR2, S1PR5 and CCL21 might be the core genes in the pathological process of asthma.
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Affiliation(s)
- M Y Zhang
- Graduate School of Peking Union Medical College, Beijing 100730, China
| | - W Ren
- Department of Respiratory, Aero Space Center Hospital, Beijing 100039, China
| | - S S Chen
- Graduate School of Peking Union Medical College, Beijing 100730, China
| | - Q Zhang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Nanchang University, Nanchang 330000, China
| | - C X Li
- Department of Respiratory and Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China
| | - J X Wan
- Graduate School of Peking Union Medical College, Beijing 100730, China
| | - J T Lin
- Department of Respiratory and Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China
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Zhang P, Wang H, Ren W, Lu Q, Li C, Chen G, Zhang S, Tao J, Li Y, Wu D, Wang Z. Lower Internal Additive Noise and Better Perceptual Template Characterize Binocular Contrast Sensitivity Summation. Front Psychol 2021; 12:740759. [PMID: 34659058 PMCID: PMC8514620 DOI: 10.3389/fpsyg.2021.740759] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 07/13/2021] [Accepted: 09/06/2021] [Indexed: 11/13/2022] Open
Abstract
Binocular summation is generally defined as the superiority of binocular over monocular performance. Here, we investigated how external noise modulates the effect of binocular summation on the contrast sensitivity function (CSF) and clarified the corresponding mechanisms with a perceptual template model (PTM). The contrast sensitivity (CS) over 10 spatial frequencies and three external noise levels was assessed under one binocular and two monocular viewing conditions. The binocular summation ratio (BSR) was calculated by dividing the area under the log CSF (AULCSF), or the CS of using both eyes, by that of only using the "good eye" (BSRG) or the "bad eye" (BSRB), respectively. We found that: (1) based on the AULCSF, the BSRB was higher than the BSRG; (2) based on the AULCSF, the BSR was more pronounced under zero-noise than under low-noise conditions, but the BSR was not higher than 1 under high-noise conditions due to a large individual difference; (3) based on the CS, with increasing spatial frequencies, the BSRB steadily increased; (4) both decreased internal additive noise and an improved perceptual template accounted for the gain in binocular summation. These results help us better understand the features of binocular CS and shed light on the clinical studies on populations with monocular CS loss.
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Affiliation(s)
- Pan Zhang
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Hanlin Wang
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Weicong Ren
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Qing Lu
- Library, Hebei Medical University, Shijiazhuang, China
| | - Chenxi Li
- School of Nursing, Yueyang Vocational Technical College, Yueyang, China
| | - Ge Chen
- College of Art and Design, Zhengzhou University of Light Industry, Zhengzhou, China
| | - Shilei Zhang
- Huihua College, Hebei Normal University, Shijiazhuang, China
| | - Jiayu Tao
- Department of Psychology, Chengde Medical University, Chengde, China
| | - Ying Li
- Department of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children Healthy, Beijing, China
| | - Di Wu
- Military Medical Psychology School, Air Force Medical University, Xi'an, China
| | - Zeng Wang
- Department of Psychology, Hebei Medical University, Shijiazhuang, China
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He Z, Yu Y, Ren W, Mao L, Tan Y, Wang J, Hu Q, Ouyang Y, Xie C, Yao H. 130P Deep learning magnetic resonance imaging radiomics for predicting disease-free survival in patients with early-stage invasive breast cancer. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.411] [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: 10/20/2022] Open
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Yu Y, Wang J, Tan Y, Wan H, Zheng N, He Z, Mao L, Ren W, Lin Z, He G, Chen Y, Wang J, Ouyang N, Yao H. 1136P A clinically applicable cervical cancer artificial intelligence screening system for accurate cytopathological diagnosis: A multicenter population-based study and randomized controlled trial. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.778] [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: 10/20/2022] Open
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Ren W, Yu Y, He Z, Mao L, Chen Y, Ouyang W, Tan Y, Li C, Chen K, Ouyang J, Hu Q, Xie C, Yao H. 133P Magnetic resonance imaging radiomics predicts high and low recurrence risk and is associated with LncRNAs in early-stage invasive breast cancer. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.414] [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: 10/20/2022] Open
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Liu S, Ren W, Yu J, Li C, Tang S. Identification of Hub Genes Associated with Diabetes Mellitus and Tuberculosis Using Bioinformatic Analysis. Int J Gen Med 2021; 14:4061-4072. [PMID: 34354368 PMCID: PMC8331204 DOI: 10.2147/ijgm.s318071] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 07/09/2021] [Indexed: 11/29/2022] Open
Abstract
Purpose To investigate the potential pathophysiological association between tuberculosis (TB) and diabetes mellitus (DM) using bioinformatic analyses. Patients and Methods Gene expression datasets for healthy controls (HCs), TB patients, DM patients, TB+DM patients (GSE114192), and metformin-treated cells (GSE102677) were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified from pairwise dataset comparisons TB vs HCs and DM vs HCs. DEGs were verified by comparing them to DEGs for TB+DM vs HCs. Enrichment analysis of DEGs common to all three dataset comparisons was conducted using DAVID. The protein–protein interaction (PPI) network was established via STRING and visualised in Cytoscape. Hub genes were identified using the Cytoscape plug-in cytoHubba and then were verified using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) analysis. Targeted miRNA prediction analysis identified metformin treatment-induced gene expression changes in peripheral blood mononuclear cells. Results A total of 422 DEGs were common to all three dataset comparisons. Functional enrichment analysis revealed these DEGs were enriched for functional terms of type I interferon signaling pathway, innate immune response, inflammatory response, and infectious diseases. Ten hub genes identified using PPI network analysis were screened for interactions with metformin target gene INS using cytoHubba based on maximal clique centrality (MCC) score. Subsequently, five hub genes were predicted to functionally interact with INS, including STAT1, IFIT3, RSAD2, IFI44L, and XAF1, as verified by RT-qPCR. Meanwhile, seven miRNAs (miR-3680-3p, miR-3059-5p, miR-629-3p, miR-29b-2-5p, miR-514b-5p, miR-4755-5p, miR-4691-3p) were associated with regulation of hub genes. Notably, six hub genes (STAT1, IFIT3, RSAD2, ISG15, IFI44, IFI6) were down-regulated in cells exposed to both metformin and Mycobacterium tuberculosis antigens. Conclusion Network hub genes hold promise as disease status biomarkers and as metformin treatment targets for alleviating TB and DM. This study describes a strategy for exploring pathogenic mechanisms of diseases such as TB and DM.
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Affiliation(s)
- Shengsheng Liu
- Department of Bacteriology and Immunology, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, People's Republic of China.,Multidisciplinary Diagnosis and Treatment Centre for Tuberculosis, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, People's Republic of China.,Department of Tuberculosis, Anhui Chest Hospital, Anhui, 230022, People's Republic of China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, People's Republic of China
| | - Jiajia Yu
- Department of Bacteriology and Immunology, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, People's Republic of China.,Multidisciplinary Diagnosis and Treatment Centre for Tuberculosis, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, People's Republic of China
| | - Chuanyou Li
- Department of Bacteriology and Immunology, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, People's Republic of China
| | - Shenjie Tang
- Multidisciplinary Diagnosis and Treatment Centre for Tuberculosis, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, People's Republic of China
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Zhang P, Wu D, Shang Y, Ren W, Liang J, Wang L, Li C. Initial performance predicts improvements in computerized cognitive training: Evidence from a selective attention task. Psych J 2021; 10:742-750. [PMID: 34219391 DOI: 10.1002/pchj.465] [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: 11/30/2020] [Revised: 03/09/2021] [Accepted: 04/19/2021] [Indexed: 11/08/2022]
Abstract
Computerized cognitive training (CCT) has been found to improve a range of skills such as attention, working memory, inhibition control, and decision making. However, the relationship between the initial performance, amount of improvement, time constant, and asymptotic performance level in CCT is still unclear. In the current study, we performed selective attention training on college students and addressed this issue by mathematically modeling the learning curve with an exponential function. Twenty-nine students completed approximately 10 days of CCT. Presentation time served as the dependent variable and was measured by three-down/one-up adaptive algorithms. We fitted an exponential function to the estimated block thresholds during CCT and obtained three learning parameters (amount of improvement, time constant, and asymptotic performance level) for all subjects. The initial performance was defined by the sum of the amount of improvement and the asymptotic performance level. Pearson correlation analyses were conducted between the initial performance and the three leaning parameters. The initial performance was positively correlated with the amount of improvement and asymptotic performance level, but was negatively correlated with the time constant. The time constant was negatively correlated with the amount of improvement and asymptotic performance level. Poorer initial performance was linked to a larger amount of improvement, shorter time constant, and higher asymptotic threshold, which supported the compensation account. Our results may help improve the present understanding of the nature of the CCT process and demonstrate the advantages of using a customized training protocol to enhance the efficiency of cognitive training in practical applications.
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Affiliation(s)
- Pan Zhang
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Di Wu
- Department of Military Psychology, Air Force Medical University, Xi'an, China
| | - Yunfeng Shang
- Rehabilitation Department, The First People's Hospital of Yueyang, Yueyang, China
| | - Weicong Ren
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Jin Liang
- China Institute of Marine Technology and Economy, Beijing, China
| | - Liyun Wang
- School of Nursing, Yueyang Vocational and Technical College, Yueyang, China
| | - Chenxi Li
- School of Nursing, Yueyang Vocational and Technical College, Yueyang, China
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Li J, Cai S, Deng Y, Wu X, Zheng Z, Zhou Y, Zhang Y, Zhang J, Tao K, Cui Y, Cao H, Shen K, Yu J, Zhou Y, Ren W, Zhao W, Wang Y, Hu J, Yang J, Shen L. SO-12 Updated safety, efficacy, and PK results from an open-label, multicenter, phase I/II study of avapritinib in Chinese patients with unresectable or metastatic gastrointestinal stromal tumors. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.05.036] [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: 11/30/2022] Open
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Qin L, Huo F, Ren W, Shang Y, Yao C, Zhang X, Liu R, Ma L, Gao M, Pang Y. Dependence of Xpert MTB/RIF Accuracy for Detecting Rifampin Resistance in Bronchoalveolar Lavage Fluid on Bacterial Load: A Retrospective Study in Beijing, China. Infect Drug Resist 2021; 14:2429-2435. [PMID: 34234473 PMCID: PMC8254186 DOI: 10.2147/idr.s307488] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 05/26/2021] [Indexed: 01/04/2023] Open
Abstract
INTRODUCTION We assessed the effect of Mycobacterium tuberculosis (MTB) bacterial load on Xpert MTB/RIF accuracy for detection of rifampicin (RIF)-resistant MTB in bronchoalveolar lavage fluid (BALF) specimens obtained at a national tuberculosis (TB) specialized hospital in Beijing, China. METHODS A retrospective study was conducted at Beijing Chest Hospital. Patients with symptoms suggestive of pulmonary TB who provided BALF specimens for routine MTB detection between June 2019 and July 2020 were enrolled in the study. Chi-square test and Student's t-test were used to compare results across groups stratified according to BALF bacterial load. RESULTS In total, 1125 patients with positive Xpert results who were enrolled in final analysis, 263 provided BALF specimens that tested positive for RIF-resistant MTB via Xpert MTB/RIF. The RIF-resistance rate of specimens with very low MTB bacterial load was 30.9%, a resistance rate significantly greater than rates obtained for groups with high (25.0%), medium (17.3%) and low (19.2%) MTB loads (P<0.01). Notably, false-positive results obtained for the very low bacterial load group led to markedly reduced positive predictive value of Xpert MTB/RIF to provide correct RIF-resistance predictions for that group (67.1%, 95% CI: 56.1%-78.1%5) relative to the predictive value obtained for all other groups combined (about 90%, P<0.05). Sanger sequencing data obtained for 20 (32.8%) MTB isolates deemed RIF-resistant via Xpert (Probe E) lacked rpoB RRDR mutations. Meanwhile, of another group of 23 isolates deemed RIF-susceptible via DST but RIF-resistant via Xpert MTB/RIF, 20 isolate sequences (87.0%) lacked rpoB RRDR mutations, while sequences of the remaining 3 isolates harbored single rpoB RRDR mutations predicted to cause amino acid substitutions. CONCLUSION Xpert MTB/RIF assay performed alarmingly poorly when used to detect RIF-resistant MTB in BALF specimens with very low bacterial loads. A high rate of Xpert probe E hybridization failure was the main driver of false-positive RIF-resistant results.
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Affiliation(s)
- Lin Qin
- Department of Endoscopic Diagnosis & Treatment, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Fengmin Huo
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Cong Yao
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Rongmei Liu
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Liping Ma
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Mengqiu Gao
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China
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Liu S, Sun Y, Yang R, Ren W, Li C, Tang S. Expression profiling of TRIM gene family reveals potential diagnostic biomarkers for rifampicin-resistant tuberculosis. Microb Pathog 2021; 157:104916. [PMID: 34000303 DOI: 10.1016/j.micpath.2021.104916] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 03/28/2021] [Accepted: 03/29/2021] [Indexed: 11/19/2022]
Abstract
The epidemic of pulmonary tuberculosis (TB), especially rifampin-resistant tuberculosis (RR-TB) presents a major challenge for TB control today. However, there is a lack of reliable and specific biomarkers for the early diagnosis of RR-TB. We utilized reverse transcription-quantitative polymerase chain reaction (RT-qPCR) to profile the transcript levels of 72 tripartite motif (TRIM) genes from a discovery cohort of 10 drug-sensitive tuberculosis (DS-TB) patients, 10 RR-TB patients, and 10 healthy controls (HCs). A total of 35 differentially expressed genes (DEGs) were screened out, all of which were down-regulated. The bio functions and pathways of these DEGs were enriched in protein ubiquitination, regulation of the viral process, Interferon signaling, and innate immune response, etc. A protein-protein interaction network (PPI) was constructed and analyzed using STRING and Cytoscape. Twelve TRIM genes were identified as hub genes, and seven (TRIM1, 9, 21, 32, 33, 56, 66) of them were verified by RT-qPCR in a validation cohort of 95 subjects. Moreover, we established the RR-TB decision tree models based on the 7 biomarkers. The receiver operating characteristic (ROC) analyses showed that the models exhibited the areas under the curve (AUC) values of 0.878 and 0.868 in discriminating RR-TB from HCs and DS-TB, respectively. Our study proposes potential biomarkers for RR-TB diagnosis, and also provides a new experimental basis to understand the pathogenesis of RR-TB.
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Affiliation(s)
- Shengsheng Liu
- Department of Bacteriology and Immunology, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China; Multidisciplinary Diagnosis and Treatment Centre for Tuberculosis, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China; Department of Tuberculosis, Anhui Chest Hospital, Anhui, 230022, China
| | - Yong Sun
- Department of Clinical Laboratory, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China
| | - Ruifang Yang
- Department of Bacteriology and Immunology, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
| | - Chuanyou Li
- Department of Bacteriology and Immunology, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
| | - Shenjie Tang
- Multidisciplinary Diagnosis and Treatment Centre for Tuberculosis, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
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Sun WY, Li CG, Zhang H, Ren W, Cui LL, Yuan X. [The correlation between serum uric acid levels in the third trimester of pregnancy and adverse pregnancy outcomes]. Zhonghua Nei Ke Za Zhi 2021; 60:446-452. [PMID: 33906274 DOI: 10.3760/cma.j.cn112138-20200521-00502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the associations between serum uric acid levels during the third trimester of pregnancy and risks of adverse pregnancy outcomes. Methods: In this retrospective study, a cohort of 7 995 pregnant women who were hospitalized for childbirth from January 2014 to January 2019 were collected to compare pregnancy outcomes between subjects with or without hyperuricemia (HUA). A smooth curve analysis was used to evaluate the relationship between uric acid levels and preterm delivery, low birth weight and smaller than gestational age. Logistic regression analyses were performed to identify risk factors for adverse pregnancy outcomes, and the interaction of the factors. Results: During the third trimester of pregnancy, the uric acid levels of about 10% pregnant women were over 420 μmol/L. In those with HUA, the median neonatal birth weight was 2 590 (1 790, 3 410) g, the probability of premature birth was 49.81%, and the incidence of small than gestational age was 20.41%. These were significantly different from the women without HUA (the median neonatal birth weight: 3300 (2850, 3640) g; the probability of premature birth 23.09%; the incidence of small than gestational age 6.55%, respectively) (All P<0.001). Maternal uric acid levels were negatively correlated with neonatal birth weight, and positively correlated with the risk of smaller than gestational age. It has a U-shaped association with the probability of premature birth, and the lowest probability of premature birth was at 200-400 μmol/L of the uric acid. Risks of low birth weight (adjusted β=-5.22, 95%CI-6.46--3.99) and smaller than gestational age (adjusted OR=1.03, 95%CI 1.02-1.04) were increased in the function of uric acid levels. High uric acid, hypertension, oligoamnios and preeclampsia were important risk factors for the adverse pregnancy outcomes. The risk of preterm delivery and low birth weight enhanced when hyperuricemia combined with hypertension and preeclampsia. Conclusions: Serum uric acid level can be used as one of reliable markers for predicting adverse pregnancy outcomes, which might provide theoretical basis for clinical intervention in practice.
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Affiliation(s)
- W Y Sun
- Institute of Metabolic Diseases, Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases & Department of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao 266071, China
| | - C G Li
- Institute of Metabolic Diseases, Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases & Department of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao 266071, China
| | - H Zhang
- Institute of Metabolic Diseases, Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases & Department of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao 266071, China
| | - W Ren
- Institute of Metabolic Diseases, Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases & Department of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao 266071, China
| | - L L Cui
- Institute of Metabolic Diseases, Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases & Department of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao 266071, China
| | - X Yuan
- Institute of Metabolic Diseases, Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases & Department of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao 266071, China
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Qiao M, Ren W, Guo H, Huo F, Shang Y, Wang Y, Gao M, Pang Y. Comparative in vitro susceptibility of a novel fluoroquinolone antibiotic candidate WFQ-228, levofloxacin, and moxifloxacin against Mycobacterium tuberculosis. Int J Infect Dis 2021; 106:295-299. [PMID: 33864922 DOI: 10.1016/j.ijid.2021.04.036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 03/22/2021] [Accepted: 04/12/2021] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE WFQ-228 is a novel developed fluoroquinolone (FQ) displaying potent antimicrobial activity against various clinical isolates of pathogens, including FQ-resistant isolates. The aim was to comparatively analyze in vitro susceptibilities of WFQ-228, levofloxacin (LFX), and moxifloxacin (MFX) against Mycobacterium tuberculosis (MTB) isolates, especially with gyrA mutations. METHODS We selected a panel of 75 MTB isolates, consisting of 25 FQ-susceptible and 50 FQ-resistant isolates determined by conventional drug susceptibility testing. The minimum inhibitory concentrations (MICs) and minimum bactericidal concentrations (MBCs) of FQs to MTB isolates were assessed. RESULTS MFX exhibited the most potent activity against FQ-susceptible MTB, demonstrating a MIC50 of 0.031 mg/L, which was lower than that of LFX and WFQ-228. Against FQ-resistant MTB isolates, the MIC50 of WFQ-228 was higher than that of MFX but lower than that of LFX. For WFQ-228, there was a significant overlap existing in the MIC distributions between the probable susceptible (PS) and probable resistant (PR) groups. Six out of 50 PR isolates were classified as susceptible based on a proposed critical concentration (CC) of 0.5 mg/L, yielding a poor sensitivity of 88.0%. These discordant isolates had GyrA substitution in Ala90Val, Ser91Pro, and Asp94Tyr. Additionally, MFX exhibited bactericidal activity against MTB isolates without gyrA mutations, which was significantly higher than that of isolates with gyrA mutations. CONCLUSION WFQ-228 is more efficacious than LFX in isolates with specific mutations conferring low-level FQ resistance. The bactericidal effect is noted more frequently in FQ-susceptible isolates than FQ-resistant isolates for MFX.
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Affiliation(s)
- Min Qiao
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, PR China; Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, PR China
| | - Weicong Ren
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, PR China
| | - Haiping Guo
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, PR China
| | - Fengmin Huo
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, PR China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, PR China
| | - Yufeng Wang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, PR China
| | - Mengqiu Gao
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, PR China.
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, PR China.
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50
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Xu F, Ren W, Huang Y, Zeng M, Zhang L, Qian H, Cui Y, Zhou W, Gao Z, Huang H, Chen H, Liu C, Xing C, Zha X, Wang N. POS-551 INTRAOPERATIVE PLASMA (1-84) PTH LEVELS ARE BETTER THAN INTACT PTH FOR ASSESSING THE SUCCESS OF PARATHYROIDECTOMY IN UREMIC HYPERPARATHYROIDISM PATIENTS. Kidney Int Rep 2021. [DOI: 10.1016/j.ekir.2021.03.579] [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: 10/21/2022] Open
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