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Zhu L, Wu H, Peng L, Huang X, Yang R, Ma W, Zhong L, Li B, Song J, Luo S, Gao L, Wu X, Ma W, Bao F, Liu A. CD4 + Effective Memory T Cell Markers GBP2 and LAG3 Are Risk Factors for PTB and COVID-19 Infection: A Study Integrating Single-Cell Expression Quantitative Trait Locus and Mendelian Randomization Analyses. Int J Mol Sci 2024; 25:9971. [PMID: 39337460 PMCID: PMC11432203 DOI: 10.3390/ijms25189971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Revised: 09/13/2024] [Accepted: 09/14/2024] [Indexed: 09/30/2024] Open
Abstract
Observational studies indicate that variations in peripheral blood mononuclear cell (PBMC) subsets are associated with an increased risk of pulmonary tuberculosis (PTB) and coronavirus disease 2019 (COVID-19), but causal validation is lacking. Here, we combined single-cell expression quantitative trait locus (sc-eQTL) and two-sample mendelian randomization (MR) analyses to elucidate the causal relationship between PBMC subsets and the occurrence of PTB and COVID-19 and verified by RT-qPCR. We observed an increase in the CD4+ Effective Memory T Cell (CD4+ TEM) cluster in both PTB and COVID-19 patients according to the single-cell transcriptional landscape of PBMC. Through MR analysis using an inverse variance weighted (IVW) method, we found strong evidence of positive correlations between CD4+ TEM cell markers (GBP2, TRAV1-2, and ODF2L) and PTB, and between markers (LAG3 and SLFN5) and COVID-19, especially highlighted by lead eQTL-SNPs of GBP2 (rs2256752, p = 4.76321 × 10-15) and LAG3 (rs67706382, p = 6.16× 10-16). Similar results were observed in validation sets, and no pleiotropy was detected in sensitivity analyses including weighted median (WM), MR-Egger, MR-pleiotropy residual sum and outlier, and leave-one-out analyses (all p > 0.05). We visualized the colocalization of marker-eQTLs and markers of PTB and COVID-19 genome-wide association study (GWAS) associations. Based on CellChat analyses, monocytes communicated predominantly with CD4+ TEM cells positively expressing PTB markers (GBP2, TRAV1-2, and ODF2L) and COVID-19 markers (LAG3 and SLFN5) in both PTB and COVID-19. Our data suggest a causal effect between two key CD4+ TEM cell markers (GBP2 and LAG3) and the risk for PTB and COVID-19 infection. Our findings provide novel insights into the biological mechanism for PTB and COVID-19 infection, but future single-cell studies are necessary to further enhance understanding of this find.
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Affiliation(s)
- Liangyu Zhu
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, Department of Pathogen Biology and Immunology, School of Basic Medicine, Kunming Medical University, Kunming 650500, China; (L.Z.); (H.W.); (L.P.); (X.H.); (R.Y.); (W.M.); (L.Z.); (B.L.); (J.S.); (S.L.); (L.G.); (X.W.); (W.M.)
| | - Hanxin Wu
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, Department of Pathogen Biology and Immunology, School of Basic Medicine, Kunming Medical University, Kunming 650500, China; (L.Z.); (H.W.); (L.P.); (X.H.); (R.Y.); (W.M.); (L.Z.); (B.L.); (J.S.); (S.L.); (L.G.); (X.W.); (W.M.)
| | - Li Peng
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, Department of Pathogen Biology and Immunology, School of Basic Medicine, Kunming Medical University, Kunming 650500, China; (L.Z.); (H.W.); (L.P.); (X.H.); (R.Y.); (W.M.); (L.Z.); (B.L.); (J.S.); (S.L.); (L.G.); (X.W.); (W.M.)
| | - Xun Huang
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, Department of Pathogen Biology and Immunology, School of Basic Medicine, Kunming Medical University, Kunming 650500, China; (L.Z.); (H.W.); (L.P.); (X.H.); (R.Y.); (W.M.); (L.Z.); (B.L.); (J.S.); (S.L.); (L.G.); (X.W.); (W.M.)
| | - Rui Yang
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, Department of Pathogen Biology and Immunology, School of Basic Medicine, Kunming Medical University, Kunming 650500, China; (L.Z.); (H.W.); (L.P.); (X.H.); (R.Y.); (W.M.); (L.Z.); (B.L.); (J.S.); (S.L.); (L.G.); (X.W.); (W.M.)
| | - Weijie Ma
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, Department of Pathogen Biology and Immunology, School of Basic Medicine, Kunming Medical University, Kunming 650500, China; (L.Z.); (H.W.); (L.P.); (X.H.); (R.Y.); (W.M.); (L.Z.); (B.L.); (J.S.); (S.L.); (L.G.); (X.W.); (W.M.)
| | - Lei Zhong
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, Department of Pathogen Biology and Immunology, School of Basic Medicine, Kunming Medical University, Kunming 650500, China; (L.Z.); (H.W.); (L.P.); (X.H.); (R.Y.); (W.M.); (L.Z.); (B.L.); (J.S.); (S.L.); (L.G.); (X.W.); (W.M.)
| | - Bingxue Li
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, Department of Pathogen Biology and Immunology, School of Basic Medicine, Kunming Medical University, Kunming 650500, China; (L.Z.); (H.W.); (L.P.); (X.H.); (R.Y.); (W.M.); (L.Z.); (B.L.); (J.S.); (S.L.); (L.G.); (X.W.); (W.M.)
- Yunnan Provincial Key Laboratory of Public Health and Biosafety, School of Public Health, Kunming Medical University, Kunming 650500, China
| | - Jieqin Song
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, Department of Pathogen Biology and Immunology, School of Basic Medicine, Kunming Medical University, Kunming 650500, China; (L.Z.); (H.W.); (L.P.); (X.H.); (R.Y.); (W.M.); (L.Z.); (B.L.); (J.S.); (S.L.); (L.G.); (X.W.); (W.M.)
| | - Suyi Luo
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, Department of Pathogen Biology and Immunology, School of Basic Medicine, Kunming Medical University, Kunming 650500, China; (L.Z.); (H.W.); (L.P.); (X.H.); (R.Y.); (W.M.); (L.Z.); (B.L.); (J.S.); (S.L.); (L.G.); (X.W.); (W.M.)
| | - Li Gao
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, Department of Pathogen Biology and Immunology, School of Basic Medicine, Kunming Medical University, Kunming 650500, China; (L.Z.); (H.W.); (L.P.); (X.H.); (R.Y.); (W.M.); (L.Z.); (B.L.); (J.S.); (S.L.); (L.G.); (X.W.); (W.M.)
| | - Xinya Wu
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, Department of Pathogen Biology and Immunology, School of Basic Medicine, Kunming Medical University, Kunming 650500, China; (L.Z.); (H.W.); (L.P.); (X.H.); (R.Y.); (W.M.); (L.Z.); (B.L.); (J.S.); (S.L.); (L.G.); (X.W.); (W.M.)
| | - Weijiang Ma
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, Department of Pathogen Biology and Immunology, School of Basic Medicine, Kunming Medical University, Kunming 650500, China; (L.Z.); (H.W.); (L.P.); (X.H.); (R.Y.); (W.M.); (L.Z.); (B.L.); (J.S.); (S.L.); (L.G.); (X.W.); (W.M.)
| | - Fukai Bao
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, Department of Pathogen Biology and Immunology, School of Basic Medicine, Kunming Medical University, Kunming 650500, China; (L.Z.); (H.W.); (L.P.); (X.H.); (R.Y.); (W.M.); (L.Z.); (B.L.); (J.S.); (S.L.); (L.G.); (X.W.); (W.M.)
- Yunnan Provincial Key Laboratory of Public Health and Biosafety, School of Public Health, Kunming Medical University, Kunming 650500, China
| | - Aihua Liu
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, Department of Pathogen Biology and Immunology, School of Basic Medicine, Kunming Medical University, Kunming 650500, China; (L.Z.); (H.W.); (L.P.); (X.H.); (R.Y.); (W.M.); (L.Z.); (B.L.); (J.S.); (S.L.); (L.G.); (X.W.); (W.M.)
- Yunnan Provincial Key Laboratory of Public Health and Biosafety, School of Public Health, Kunming Medical University, Kunming 650500, China
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Huang Y, Zhang W, Xu C, Li Q, Zhang W, Xu W, Zhang M. Presence of PD-1 similarity genes in monocytes may promote the development of type 1 diabetes mellitus and poor prognosis of pancreatic cancer. BMJ Open Diabetes Res Care 2023; 11:11/3/e003196. [PMID: 37130628 PMCID: PMC10163525 DOI: 10.1136/bmjdrc-2022-003196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 04/15/2023] [Indexed: 05/04/2023] Open
Abstract
INTRODUCTION To identify proteins and corresponding genes that share sequential and structural similarity with programmed cell death protein-1 (PD-1) in patients with type 1 diabetes mellitus (T1DM) via bioinformatics analysis. RESEARCH DESIGN AND METHODS All proteins with immunoglobulin V-set domain were screened in the human protein sequence database, and the corresponding genes were obtained in the gene sequence database. GSE154609 was downloaded from the GEO database, which contained peripheral blood CD14+ monocyte samples from patients with T1DM and healthy controls. The difference result and the similar genes were intersected. Analysis of gene ontology and Kyoto encyclopedia of genes and genomes pathways was used to predict potential functions using the R package 'cluster profiler'. The expression differences of intersected genes were analyzed in The Cancer Genome Atlas pancreatic cancer dataset and GTEx database using t-test. The correlation between the overall survival and disease-free progression of patients with pancreatic cancer was analyzed using Kaplan-Meier survival analysis. RESULTS 2068 proteins with immunoglobulin V-set domain similar to PD-1 and 307 corresponding genes were found. 1705 upregulated differentially expressed genes (DEGs) and 1335 downregulated DEGs in patients with T1DM compared with healthy controls were identified. A total of 21 genes were overlapped with the 307 PD-1 similarity genes, including 7 upregulated and 14 downregulated. Of these, mRNA levels of 13 genes were significantly increased in patients with pancreatic cancer. High expression of MYOM3 and HHLA2 was significantly correlated with shorter overall survival of patients with pancreatic cancer, while high expression of FGFRL1, CD274, and SPEG was significantly correlated with shorter disease-free survival of patients with pancreatic cancer. CONCLUSIONS Genes encoding immunoglobulin V-set domain similar to PD-1 may contribute to the occurrence of T1DM. Of these genes, MYOM3 and SPEG may serve as potential biomarkers for the prognosis of pancreatic cancer.
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Affiliation(s)
- Yuquan Huang
- Department of Pathology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Wenchuan Zhang
- Department of Pathology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Can Xu
- Department of Pathology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Qingxia Li
- Department of Oncology, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Wu Zhang
- Clinical School of Medicine, North China University of Science and Technology, Tangshan, Hebei, China
| | - Wanfeng Xu
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Mingming Zhang
- Department of Pathology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
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Yu Y, Zhang X, Chen Y, Li Y, Bian S, Yang Y, Song H, Zhang C, Dong Z, Li G, Xu L, Jia Z, Liu Y, He X, Yang M, Guo J, Zhou Z, Zhang Y. Single-cell sequencing of immune cells after marathon and symptom-limited cardiopulmonary exercise. iScience 2023; 26:106532. [PMID: 37123249 PMCID: PMC10130917 DOI: 10.1016/j.isci.2023.106532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 02/07/2023] [Accepted: 03/24/2023] [Indexed: 04/03/2023] Open
Abstract
Vigorous-intensity leisure-time physical activity, such as marathon, has become increasingly popular, but its effect on immune functions and health is poorly understood. Here, we performed scRNA-seq analysis of peripheral blood mononuclear cells (PBMCs) after a bout of symptom-limited cardiopulmonary exercise (CPX) test or marathon. Time-series single-cell analysis revealed the detailed series of landscapes of immune cells in response to short and long vigorous-intensity activities. Reduction of effective T cells was observed with the cell migration and motility pathways enriched in circulation following marathon. Baseline values of PBMCs abundance were reached around 1 h after CPX and 24 h following marathon, but longer time was required for expression recovery of cytotoxicity genes. The ratio of effector/naive T cells was found to change uniformly among the participants and could serve as a better indicator for exercise intensity than the CD4+/CD8+ T cell ratio. Moreover, we identified time-dependent monocyte state transitions after marathon.
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Affiliation(s)
- Yanli Yu
- Sports & Medicine Integration Research Center (SMIRC), Capital University of Physical Education and Sports, Beijing 100191, China
| | - Xiaolu Zhang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, China
| | - Yanjing Chen
- Sports & Medicine Integration Research Center (SMIRC), Capital University of Physical Education and Sports, Beijing 100191, China
| | - Yanze Li
- CapitalBio Technology, Beijing, China
| | - Suying Bian
- Beijing Zijing Biological Co., LTD, Beijing, China
| | - Yizhuo Yang
- Sports & Medicine Integration Research Center (SMIRC), Capital University of Physical Education and Sports, Beijing 100191, China
| | - Hanan Song
- Sports & Medicine Integration Research Center (SMIRC), Capital University of Physical Education and Sports, Beijing 100191, China
| | - Cheng Zhang
- Sports & Medicine Integration Research Center (SMIRC), Capital University of Physical Education and Sports, Beijing 100191, China
- Taizhou Vocational College of Science & Technology, Taizhou, Zhejiang 318020, China
| | - Zhenhe Dong
- Sports & Medicine Integration Research Center (SMIRC), Capital University of Physical Education and Sports, Beijing 100191, China
| | - Guanghui Li
- Sports & Medicine Integration Research Center (SMIRC), Capital University of Physical Education and Sports, Beijing 100191, China
| | - Luyou Xu
- Institute for Sport Performance and Health Promotion, Capital University of Physical Education and Sports, Beijing 100191, China
| | - Zhuang Jia
- Institute for Sport Performance and Health Promotion, Capital University of Physical Education and Sports, Beijing 100191, China
| | - Yu Liu
- Institute for Sport Performance and Health Promotion, Capital University of Physical Education and Sports, Beijing 100191, China
| | - Xiaoyi He
- Institute for Sport Performance and Health Promotion, Capital University of Physical Education and Sports, Beijing 100191, China
| | - Ming Yang
- Institute for Sport Performance and Health Promotion, Capital University of Physical Education and Sports, Beijing 100191, China
| | - Jianjun Guo
- Sports & Medicine Integration Research Center (SMIRC), Capital University of Physical Education and Sports, Beijing 100191, China
| | - Zhixiong Zhou
- Institute for Sport Performance and Health Promotion, Capital University of Physical Education and Sports, Beijing 100191, China
| | - Yan Zhang
- Sports & Medicine Integration Research Center (SMIRC), Capital University of Physical Education and Sports, Beijing 100191, China
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Liang T, Chen J, Xu G, Zhang Z, Xue J, Zeng H, Jiang J, Chen T, Qin Z, Li H, Ye Z, Nie Y, Liu C, Zhan X. Immune status changing helps diagnose osteoarticular tuberculosis. PLoS One 2021; 16:e0252875. [PMID: 34129634 PMCID: PMC8205131 DOI: 10.1371/journal.pone.0252875] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 05/24/2021] [Indexed: 01/06/2023] Open
Abstract
Objective This study is aimed to develop a new nomogram for the clinical diagnosis of osteoarticular tuberculosis (TB). Methods xCell score estimation to obtained the immune cell type abundance scores. We downloaded the expression profile of GSE83456 from GEO and proceed xCell score estimation. The routine blood examinations of 326 patients were collected for further validation. We analyzed univariate and multivariate logistic regression to identified independent predicted factor for developing the nomogram. The performance of the nomogram was assessed using the receiver operating characteristic (ROC) curves. The correlation of ESR with lymphocytes, monocytes, and ML ratio was performed and visualized in osteoarticular TB patients. Results Compared with the healthy control group in the dataset GSE83456, the xCell score of basophils, monocytes, neutrophils, and platelets was higher, while lymphoid was lower in the EPTB group. The clinical data showed that the cell count of monocytes were much higher, while the cell counts of lymphocytes were lower in the osteoarticular TB group. AUCs of the nomogram was 0.798 for the dataset GSE83456, and 0.737 for the clinical data. We identified the ML ratio, BMI, and ESR as the independent predictive factors for osteoarticular TB diagnosis and constructed a nomogram for the clinical diagnosis of osteoarticular TB. AUCs of this nomogram was 0.843. Conclusions We demonstrated a significant change between the ML ratio of the EPTB and non-TB patients. Moreover, we constructed a nomogram for the clinical diagnosis of the osteoarticular TB diagnosis, which works satisfactorily.
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Affiliation(s)
- Tuo Liang
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Jiarui Chen
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - GuoYong Xu
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Zide Zhang
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Jiang Xue
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Haopeng Zeng
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Jie Jiang
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Tianyou Chen
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Zhaojie Qin
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Hao Li
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Zhen Ye
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Yunfeng Nie
- Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Chong Liu
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Xinli Zhan
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
- * E-mail:
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