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Houlder EL, Stam KA, Koopman JPR, König MH, Langenberg MCC, Hoogerwerf MA, Niewold P, Sonnet F, Janse JJ, Partal MC, Sijtsma JC, de Bes-Roeleveld LHM, Kruize YCM, Yazdanbakhsh M, Roestenberg M. Early symptom-associated inflammatory responses shift to type 2 responses in controlled human schistosome infection. Sci Immunol 2024; 9:eadl1965. [PMID: 38968336 DOI: 10.1126/sciimmunol.adl1965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 06/07/2024] [Indexed: 07/07/2024]
Abstract
Schistosomiasis is an infection caused by contact with Schistosoma-contaminated water and affects more than 230 million people worldwide with varying morbidity. The roles of T helper 2 (TH2) cells and regulatory immune responses in chronic infection are well documented, but less is known about human immune responses during acute infection. Here, we comprehensively map immune responses during controlled human Schistosoma mansoni infection using male or female cercariae. Immune responses to male or female parasite single-sex infection were comparable. An early TH1-biased inflammatory response was observed at week 4 after infection, which was particularly apparent in individuals experiencing symptoms of acute schistosomiasis. By week 8 after infection, inflammatory responses were followed by an expansion of TH2 and regulatory cell subsets. This study demonstrates the shift from TH1 to both TH2 and regulatory responses, typical of chronic schistosomiasis, in the absence of egg production and provides immunological insight into the clinical manifestations of acute schistosomiasis.
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Affiliation(s)
- Emma L Houlder
- Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Koen A Stam
- Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Jan Pieter R Koopman
- Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Marion H König
- Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Marijke C C Langenberg
- Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Marie-Astrid Hoogerwerf
- Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Paula Niewold
- Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Friederike Sonnet
- Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Jacqueline J Janse
- Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Miriam Casacuberta Partal
- Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Jeroen C Sijtsma
- Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Laura H M de Bes-Roeleveld
- Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Yvonne C M Kruize
- Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Maria Yazdanbakhsh
- Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Meta Roestenberg
- Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Netherlands
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Lan Z, Wei Y, Yue K, He R, Jiang Z. Genetically predicted immune cells mediate the association between gut microbiota and neuropathy pain. Inflammopharmacology 2024:10.1007/s10787-024-01514-y. [PMID: 38955934 DOI: 10.1007/s10787-024-01514-y] [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: 05/01/2024] [Accepted: 06/12/2024] [Indexed: 07/04/2024]
Abstract
BACKGROUND Previous observational studies have indicated a complex association between gut microbiota (GM) and neuropathic pain (NP). Nonetheless, the precise biological mechanisms underlying this association remain unclear. Therefore, we adopted a Mendelian randomization (MR) approach to investigate the causal relationship between GM and neuropathic pain including post-herpetic neuralgia (PHN), painful diabetic peripheral neuropathy (PDPN), and trigeminal neuralgia (TN), as well as to explore the potential mediation effects of immune cells. METHODS We performed a two-step, two-sample Mendelian randomization study with an inverse variance-weighted (IVW) approach to investigate the causal role of GM on three major kinds of NP and the mediation effect of immune cells between the association of GM and NP. In addition, we determine the strongest causal associations using Bayesian weighted Mendelian randomization (BWMR) analysis. Furthermore, we will investigate the mediating role of immune cells through a two-step Mendelian randomization design. RESULTS We identified 53 taxonomies and pathways of gut microbiota that had significant causal associations with NP. In addition, we also discovered 120 immune cells that exhibited significant causal associations with NP. According to the BWMR and two-step Mendelian randomization analysis, we identified the following results CD4 on CM CD4 + (maturation stages of T cell) mediated 6.7% of the risk reduction for PHN through the pathway of fucose degradation (FUCCAT.PWY). CD28 + DN (CD4-CD8-) AC (Treg) mediated 12.5% of the risk reduction for PHN through the influence on Roseburia inulinivorans. CD45 on lymphocyte (Myeloid cell) mediated 11.9% of the risk increase for TN through the superpathway of acetyl-CoA biosynthesis (PWY.5173). HLA DR + CD8br %T cell (TBNK) mediated 3.2% of the risk reduction for TN through the superpathway of GDP-mannose-derived O-antigen building blocks biosynthesis (PWY.7323). IgD-CD38-AC (B cell) mediated 7.5% of the risk reduction for DPN through the pathway of thiazole biosynthesis I in E. coli (PWY.6892). DISCUSSION These findings provided evidence supporting the causal effect of GM with NP, with immune cells playing a mediating role. These findings may inform prevention strategies and interventions directed toward NP. Future studies should explore other plausible biological mechanisms.
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Affiliation(s)
- Zhixuan Lan
- Department of Pain Medicine, The Second Affiliated Hospital of Guangxi Medical University, Guangxi, Nanning, 530005, China
| | - Yi Wei
- Department of Pain Medicine, The Second Affiliated Hospital of Guangxi Medical University, Guangxi, Nanning, 530005, China
| | - Kan Yue
- Department of Pain Medicine, The Second Affiliated Hospital of Guangxi Medical University, Guangxi, Nanning, 530005, China
| | - Ruilin He
- Department of Pain Medicine, The Second Affiliated Hospital of Guangxi Medical University, Guangxi, Nanning, 530005, China.
| | - Zongbin Jiang
- Department of Pain Medicine, The Second Affiliated Hospital of Guangxi Medical University, Guangxi, Nanning, 530005, China.
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Thin KA, Cross A, Angsuwatcharakon P, Mutirangura A, Puttipanyalears C, Edwards SW. Changes in immune cell subtypes during ageing. Arch Gerontol Geriatr 2024; 122:105376. [PMID: 38412791 DOI: 10.1016/j.archger.2024.105376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/12/2023] [Accepted: 02/19/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND The immune system comprises many different types of cells, each with different functions and properties during immune defence. The numbers and types of immune cells in the circulation is highly dynamic and regulated by infections, ageing and certain types of cancers. It is recognised that immune function decreases during ageing, but the biological age at which these functional changes occur is variable, and how ageing affects the different sub-types of lymphocytes, monocytes and NK cells in the circulation is not fully defined. METHODS In this study, we recruited 24 healthy volunteers over the age range of 23y to 89y and measured the numbers of different subclasses of circulating cells by immuno-phenotyping and flow cytometry. RESULTS We show increased monocyte:lymphocyte ratios in a > 50y cohort and most T cell subsets were decreased, except for CD4+ cells, which were increased in this cohort. In addition, there was NK cell expansion and increased HLA-DR+ T cells, but decreased numbers of classical monocytes and increased numbers of CD4+ monocytes in this >50y cohort. CONCLUSIONS These data indicate that healthy ageing is associated with changes in both the major cell groups but also individual subclasses of cells, and these are likely to result from continuous immune challenge and impaired development.
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Affiliation(s)
- Khin Aye Thin
- Joint PhD Program in Biomedical Sciences and Biotechnology between Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand; Institute of Integrative Biology, University of Liverpool, Liverpool, L69 3BX, United Kingdom
| | - Andrew Cross
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, L69 3BX, United Kingdom
| | | | - Apiwat Mutirangura
- Department of Anatomy, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand; Center of Excellence in Molecular Genetics of Cancer and Human Diseases, Department of Anatomy, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Charoenchai Puttipanyalears
- Department of Anatomy, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand; Center of Excellence in Molecular Genetics of Cancer and Human Diseases, Department of Anatomy, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Steven W Edwards
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L69 3BX, United Kingdom.
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Takada H, Demoruelle MK, Deane KD, Nakamura S, Katsumata Y, Ikari K, Buckner JH, Robinson WH, Seifert JA, Feser ML, Moss L, Norris JM, Harigai M, Hsieh EW, Holers VM, Okamoto Y. Expansion of HLA-DR Positive Peripheral Helper T and Naive B Cells in Anticitrullinated Protein Antibody-Positive Individuals At Risk for Rheumatoid Arthritis. Arthritis Rheumatol 2024; 76:1023-1035. [PMID: 38412870 PMCID: PMC11213678 DOI: 10.1002/art.42839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 12/23/2023] [Accepted: 02/26/2024] [Indexed: 02/29/2024]
Abstract
OBJECTIVE To investigate immune dysregulation in the peripheral blood that contributes to the pre-rheumatoid arthritis (RA) stage of RA development in anticitrullinated protein antibody (ACPA)+ individuals. METHODS Using 37 markers by mass cytometry, we investigated peripheral blood mononuclear cells (PBMCs) from ACPA+ at-risk individuals, ACPA+ early untreated patients with RA, and ACPA- controls in the Tokyo Women's Medical University cohort (n = 17 in each group). Computational algorithms, FlowSOM and Optimized t-Distributed Stochastic Neighbor Embedding, were employed to explore specific immunologic differences between study groups. These findings were further evaluated, and longitudinal changes were explored, using flow cytometry and PBMCs from the US-based Targeting Immune Responses for Prevention of RA cohort that included 11 ACPA+ individuals who later developed RA (pre-RA), of which 9 had post-RA diagnosis PBMCs (post-RA), and 11 ACPA- controls. RESULTS HLA-DR+ peripheral helper T (Tph) cells, activated regulatory T cells, PD-1hi CD8+ T cells, and CXCR5-CD11c-CD38+ naive B cells were significantly expanded in PBMCs from at-risk individuals and patients with early RA from the Tokyo Women's Medical University cohort. Expansion of HLA-DR+ Tph cells and CXCR5-CD11c-CD38+ naive B cells was likewise found in both pre-RA and post-RA time points in the Targeting Immune Responses for Prevention of RA cohort. CONCLUSION The expansion of HLA-DR+ Tph cells and CXCR5-CD11c-CD38+ naive B cells in ACPA+ individuals, including those who developed inflammatory arthritis and classified RA, supports a key role of these cells in transition from pre-RA to classified RA. These findings may identify a new mechanistic target for treatment and prevention in RA.
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Affiliation(s)
- Hideto Takada
- Division of Rheumatology, Department of Internal Medicine, Tokyo Women’s Medical University School of Medicine, Tokyo, Japan
- Division of Rheumatology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - M. Kristen Demoruelle
- Division of Rheumatology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kevin D. Deane
- Division of Rheumatology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Shohei Nakamura
- Division of Rheumatology, Department of Internal Medicine, Tokyo Women’s Medical University School of Medicine, Tokyo, Japan
| | - Yasuhiro Katsumata
- Division of Rheumatology, Department of Internal Medicine, Tokyo Women’s Medical University School of Medicine, Tokyo, Japan
| | - Katsunori Ikari
- Department of Orthopedic Surgery, Tokyo Women’s Medical University School of Medicine, Tokyo, Japan
- Division of Multidisciplinary Management of Rheumatic Diseases, Tokyo Women’s Medical University School of Medicine, Tokyo, Japan
| | | | - William H. Robinson
- Division of Immunology and Rheumatology, Stanford University, Stanford, CA, USA
| | - Jennifer A. Seifert
- Division of Rheumatology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Marie L. Feser
- Division of Rheumatology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - LauraKay Moss
- Division of Rheumatology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jill M. Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Masayoshi Harigai
- Division of Rheumatology, Department of Internal Medicine, Tokyo Women’s Medical University School of Medicine, Tokyo, Japan
| | - Elena W.Y. Hsieh
- University of Colorado School of Medicine, Department of Immunology and Microbiology Aurora, CO, USA
- University of Colorado School of Medicine, Children’s Hospital Colorado, Department of Pediatrics, Section of Allergy & Immunology, Aurora, CO, USA
| | - V. Michael Holers
- Division of Rheumatology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Yuko Okamoto
- Division of Rheumatology, Department of Internal Medicine, Tokyo Women’s Medical University School of Medicine, Tokyo, Japan
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Yang Y, Zhang F, Shi H, Zhu Z, Zhou Y, Zhou Y. Differential diagnostic value of simultaneous detection of CD69 and HLA-DR on host T and NK cells in QFT-TB assay for identifying active tuberculosis. Tuberculosis (Edinb) 2024; 148:102537. [PMID: 38954896 DOI: 10.1016/j.tube.2024.102537] [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: 04/14/2024] [Revised: 06/18/2024] [Accepted: 06/27/2024] [Indexed: 07/04/2024]
Abstract
BACKGROUND Interferon-gamma release assay (IGRA) for tuberculosis (TB) remains limited in its ability to discriminate between active TB (ATB) and latent TB infection (LTBI). Activation markers on host T and NK cells are currently considered to be promising markers in the diagnosis of ATB. METHODS This prospective observational study enrolled 213 participants and the participants were divided into ATB, LTBI, other lung-related diseases (ORD), and health control (HC) groups. CD69 and HLA-DR on T and NK cells were detected in QFT-TB assay, and a composite scoring system (TB-Flow) was created for the diagnosis of ATB. RESULTS The expression of activation markers (CD69 and HLA-DR) were significantly increased in ATB. HLA-DR on NK cells, CD69 on T cells, and QFT-TB in the differential diagnosis of ATB and HC were all of good diagnostic value (AUC>0.90). In addition, the TB-Flow greatly improved the efficiency of differential diagnosis between ATB and LTBI (AUC=0.90, 95%CI: 0.84-0.96), with sensitivity and specificity of 79.17 % (95%CI: 64.60%-89.04 %) and 88.68 % (95%CI: 76.28%-95.31 %). CONCLUSIONS CD69 and HLA-DR on host T and NK cells are promising markers in distinguishing different TB infection status. Our blood-based TB-Flow scoring system can distinguish ATB from LTBI with good diagnostic efficacy.
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Affiliation(s)
- Yiqi Yang
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang 310014, China; School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China.
| | - Fujie Zhang
- Qian Xi Nan Hospital of Traditional Chinese Medicine, Qian Xi Nan Buyei, and Miao Autonomous Prefecture 562499, China.
| | - Hanlu Shi
- Clinical Research Center, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 360000, China.
| | - Zhongliang Zhu
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang 310014, China.
| | - Yu Zhou
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang 310014, China.
| | - Yonglie Zhou
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang 310014, China.
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Chitta S, Nehete BP, Delise AB, Simmons JH, Nehete PN. Reactivity of HLADR antibody manifests expression of surface MHC II molecules on peripheral blood T lymphocytes in new world monkeys. Immun Inflamm Dis 2024; 12:e1318. [PMID: 38923761 PMCID: PMC11194976 DOI: 10.1002/iid3.1318] [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: 12/22/2023] [Revised: 05/20/2024] [Accepted: 06/03/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND Major histocompatibility complex (MHC) class II molecules expressed on B cells, monocytes and dendritic cells present processed peptides to CD4+ T cells as one of the mechanisms to combat infection and inflammation. AIM To study MHC II expression in a variety of nonhuman primate species, including New World (NWM) squirrel monkeys (Saimiri boliviensis boliviensis), owl monkeys (Aotus nancymae), common marmosets (Callithrix spp.), and Old World (OWM) rhesus (Macaca mulatta), baboons (Papio anubis). METHODS Two clones of cross-reactive mouse anti-human HLADR monoclonal antibodies (mAb) binding were analyzed by flow cytometry to evaluate MHC II expression on NHP immune cells, including T lymphocytes in whole blood (WB) and peripheral blood mononuclear cells (PBMC). RESULTS MHC class II antibody reactivity is seen with CD20+ B cells, CD14+ monocytes and CD3+ T lymphocytes. Specific reactivity with both clones was demonstrated in T lymphocytes: this reactivity was not inhibited by purified CD16 antibody but was completely inhibited when pre-blocked with purified unconjugated MHC II antibody. Freshly prepared PBMC also showed reactivity with T lymphocytes without any stimulation. Interestingly, peripheral blood from rhesus macaques and olive baboons (OWM) showed no such T lymphocyte associated MHCII antibody reactivity. DISCUSSION & CONCLUSION Our results from antibody (MHC II) reactivity clearly show the potential existence of constitutively expressed (with no stimulation) MHC II molecules on T lymphocytes in new world monkeys. These results suggest that additional study is warranted to evaluate the functional and evolutionary significance of these finding and to better understand MHC II expression on T lymphocytes in new world monkeys.
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Affiliation(s)
- Sriram Chitta
- Department of Comparative Medicine, Keeling Center for Comparative Medicine and ResearchUT‐MD Anderson Cancer CenterBastropTexasUSA
| | - Bharti P. Nehete
- Department of Comparative Medicine, Keeling Center for Comparative Medicine and ResearchUT‐MD Anderson Cancer CenterBastropTexasUSA
| | - Ashley B. Delise
- Department of Comparative Medicine, Keeling Center for Comparative Medicine and ResearchUT‐MD Anderson Cancer CenterBastropTexasUSA
| | - Joe H. Simmons
- Department of Comparative Medicine, Keeling Center for Comparative Medicine and ResearchUT‐MD Anderson Cancer CenterBastropTexasUSA
| | - Pramod N. Nehete
- Department of Comparative Medicine, Keeling Center for Comparative Medicine and ResearchUT‐MD Anderson Cancer CenterBastropTexasUSA
- Department of Comparative MedicineThe University of Texas Graduate School of Biomedical SciencesHoustonTexasUSA
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Khojah A, Schutt M, Morgan G, Bukhari A, Bensen N, Khanolkar A, Pachman LM. Increased percentage of HLA-DR T cells in untreated juvenile dermatomyositis. CLINICAL IMMUNOLOGY COMMUNICATIONS 2024; 5:20-25. [PMID: 38962376 PMCID: PMC11221785 DOI: 10.1016/j.clicom.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Abstract
This study investigates HLA-DR expression on activated T cells and serum neopterin levels in Juvenile Dermatomyositis (JDM) children pre- and post-treatment. Sixty-nine JDM children (less than 18 years) were included. Elevated HLA-DR+ T cells (>7 %) were observed in 19 % of untreated cases. Post-treatment, mean HLA-DR+ T cells decreased from 5.1 to 2.9 (P < 0.001), and serum neopterin levels declined from 19.3 to 9.1 nmol/L (P < 0.0001). A positive correlation between serum neopterin and HLA-DR T cell percentage was observed (r = 0.39, P = 0.01). Intravenous steroid treatment exhibited a 47.4 % improvement in HLA-DR+ T cells and a 50.5 % reduction in serum neopterin levels, in contrast to 14.8 % and 34.1 % in the oral steroid group. In conclusion, treatment, particularly with IV steroids, significantly improved HLA-DR+ T cells percentage and neopterin levels. A correlation between HLA-DR+ T cells percentage and serum neopterin was noted in untreated JDM patients.
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Affiliation(s)
- Amer Khojah
- Department of Pediatrics, College of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
- Division of Allergy and Immunology, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
| | - Madeline Schutt
- Division of Allergy and Immunology, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Gabrielle Morgan
- Division of Pediatric Rheumatology, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
| | | | - Nicolas Bensen
- Diagnostic Immunology and Flow Cytometry Laboratory, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
| | - Aaruni Khanolkar
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Diagnostic Immunology and Flow Cytometry Laboratory, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
| | - Lauren M. Pachman
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Division of Pediatric Rheumatology, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
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Yang Y, Shi H, Zhou Y, Zhou Y. Expression of HLA-DR and KLRG1 enhances the cytotoxic potential and cytokine secretion capacity of CD3 + T cells in tuberculosis patients. Int Immunopharmacol 2024; 133:112115. [PMID: 38652959 DOI: 10.1016/j.intimp.2024.112115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 03/26/2024] [Accepted: 04/17/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Human T cells play an important role in immunity against tuberculosis (TB) infection. Activating receptor HLA-DR and inhibitory receptor KLRG1 are critical regulators of T cell function during viral infection and tumorigenesis, but they have been less studied in TB infection. METHODS In this study, we explored the relationship between CD3+ T cell expression of HLA-DR and KLRG1 receptors and function against TB infection. Flow cytometry was conducted to assess the immunomodulatory effects of HLA-DR and KLRG1 receptors on CD3+ T cells in patients with different TB infection status. RESULTS We found activating receptors HLA-DR, NKG2C, CD57 and NKP46, and inhibitory receptors KLRG1 and KIR on CD3+ T cells in different TB infection status showed different distribution patterns; the cytotoxic potential and cytokine secretion capacity of CD3+ T cells after Mtb-specific antigen stimulation were significantly enhanced in TB infection groups. Further studies revealed HLA-DR+ T and KLRG1+ T cells expressed higher activating and inhibitory receptors than the negative population. In addition, the expression of cytotoxic potential and cytokine secretion capacity of HLA-DR+ T and KLRG1+ T cells was significantly higher than that of HLA-DR- T and KLRG1- T cells. CONCLUSIONS Expression of HLA-DR and KLRG1 enhances the cytotoxic potential and cytokine secretion capacity of CD3+ T cells in TB patients, suggesting CD3+ T cells expressing HLA-DR and KLRG1 are important effector cell phenotypes involved in the host anti-TB infection. HLA-DR and KLRG1 expressed by CD3+ T cells may be potential predictive markers of TB disease progression and clinical immune assessment.
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Affiliation(s)
- Yiqi Yang
- School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China; Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang 310014, China
| | - Hanlu Shi
- Clinical Research Center, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 360000, China
| | - Yu Zhou
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang 310014, China.
| | - Yonglie Zhou
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang 310014, China.
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9
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Marty PK, Pathakumari B, Cox TM, Van Keulen VP, Erskine CL, Shah M, Vadiyala M, Arias-Sanchez P, Karnakoti S, Pennington KM, Theel ES, Lindestam Arlehamn CS, Peikert T, Escalante P. Multiparameter immunoprofiling for the diagnosis and differentiation of progressive versus nonprogressive nontuberculous mycobacterial lung disease-A pilot study. PLoS One 2024; 19:e0301659. [PMID: 38640113 PMCID: PMC11029658 DOI: 10.1371/journal.pone.0301659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 03/20/2024] [Indexed: 04/21/2024] Open
Abstract
Clinical prediction of nontuberculous mycobacteria lung disease (NTM-LD) progression remains challenging. We aimed to evaluate antigen-specific immunoprofiling utilizing flow cytometry (FC) of activation-induced markers (AIM) and IFN-γ enzyme-linked immune absorbent spot assay (ELISpot) accurately identifies patients with NTM-LD, and differentiate those with progressive from nonprogressive NTM-LD. A Prospective, single-center, and laboratory technician-blinded pilot study was conducted to evaluate the FC and ELISpot based immunoprofiling in patients with NTM-LD (n = 18) and controls (n = 22). Among 18 NTM-LD patients, 10 NTM-LD patients were classified into nonprogressive, and 8 as progressive NTM-LD based on clinical and radiological features. Peripheral blood mononuclear cells were collected from patients with NTM-LD and control subjects with negative QuantiFERON results. After stimulation with purified protein derivative (PPD), mycobacteria-specific peptide pools (MTB300, RD1-peptides), and control antigens, we performed IFN-γ ELISpot and FC AIM assays to access their diagnostic accuracies by receiver operating curve (ROC) analysis across study groups. Patients with NTM-LD had significantly higher percentage of CD4+/CD8+ T-cells co-expressing CD25+CD134+ in response to PPD stimulation, differentiating between NTM-LD and controls. Among patients with NTM-LD, there was a significant difference in CD25+CD134+ co-expression in MTB300-stimulated CD8+ T-cells (p <0.05; AUC-ROC = 0.831; Sensitivity = 75% [95% CI: 34.9-96.8]; Specificity = 90% [95% CI: 55.5-99.7]) between progressors and nonprogressors. Significant differences in the ratios of antigen-specific IFN-γ ELISpot responses were also seen for RD1-nil/PPD-nil and RD1-nil/anti-CD3-nil between patients with nonprogressive vs. progressive NTM-LD. Our results suggest that multiparameter immunoprofiling can accurately identify patients with NTM-LD and may identify patients at risk of disease progression. A larger longitudinal study is needed to further evaluate this novel immunoprofiling approach.
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Affiliation(s)
- Paige K. Marty
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, United States of America
| | - Balaji Pathakumari
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, United States of America
| | - Thomas M. Cox
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, United States of America
| | - Virginia P. Van Keulen
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, United States of America
- Department of Immunology, Mayo Clinic, Rochester, MN, United States of America
| | - Courtney L. Erskine
- Department of Immunology, Mayo Clinic, Rochester, MN, United States of America
| | - Maleeha Shah
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, United States of America
| | - Mounika Vadiyala
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, United States of America
| | - Pedro Arias-Sanchez
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, United States of America
| | - Snigdha Karnakoti
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, United States of America
| | - Kelly M. Pennington
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, United States of America
| | - Elitza S. Theel
- Department of Laboratory Medicine, Mayo Clinic, Rochester, MN, United States of America
| | - Cecilia S. Lindestam Arlehamn
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, United States of America
| | - Tobias Peikert
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, United States of America
- Department of Immunology, Mayo Clinic, Rochester, MN, United States of America
| | - Patricio Escalante
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, United States of America
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10
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Setlhare B, Letsoalo M, Nkabinde SA, Nkabinde M, Mzobe G, Mtshali A, Parveen S, Ngcobo S, Invernizzi L, Maharaj V, Ngcobo M, Gqaleni N. An in vitro study to elucidate the effects of product Nkabinde on immune response in peripheral blood mononuclear cells of healthy donors. Front Pharmacol 2024; 15:1308913. [PMID: 38533263 PMCID: PMC10963514 DOI: 10.3389/fphar.2024.1308913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 02/26/2024] [Indexed: 03/28/2024] Open
Abstract
Introduction: A significant number of the South African population still rely on traditional medicines (TM) as their primary healthcare due to their belief in their holistic healing and immune-boosting properties. However, little to no scientific data is available on the effects of most TM products on cytokine and cellular biomarkers of the immune response. Here, we evaluated the impact of traditional medicine [Product Nkabinde (PN)] in inducing cellular and cytokine biomarkers of inflammation in peripheral blood mononuclear cells (PBMCs) from eight healthy volunteers. Methods: PN was supplied by a local Traditional Health Practitioner (THP). The IC50 (half maximum concentration) of the standardized extract on isolated PBMCs was established using the cell viability assay over 24 h of incubation. Luminex and flow cytometry assays were used to measure cytokine and cellular levels in PBMCs stimulated with PN and/or PHA over 24, 48, and 72 h, respectively. Results: The IC50 concentration of PN in treated PBMCs was established at 325.3 μg/mL. In the cellular activation assay, the percentages of CD38-HLA-DR + on total CD4+ T cells were significantly increased in PBMCs stimulated with PN compared to unstimulated controls after 24 h (p = 0.008). PN significantly induced the production of anti-inflammatory IL-10 (p = 0.041); proinflammatory cytokines IL-1α (p = 0.003), TNF-α (p < 0.0001); and chemokine MIP-1β (p = 0.046) compared to the unstimulated control after 24 h. At 48 h incubation, the production of proinflammatory cytokines IL-1α (p = 0.034) and TNF-α (p = 0.011) were significantly induced following treatment with PN. Conclusion: We conclude that the PN possesses in vitro immunomodulatory properties that may influence immune and inflammatory responses. More studies using PN are needed to further understand key parameters mediating induction, expression, and regulation of the immune response in the context of pathogen-associated infections.
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Affiliation(s)
- Boitumelo Setlhare
- Discipline of Traditional Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Marothi Letsoalo
- Centre for Aids Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Siphathimandla Authority Nkabinde
- Nelson R. Mandela School of Medicine, Doris Duke Medical Research Institute, Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | - Magugu Nkabinde
- Nelson R. Mandela School of Medicine, Doris Duke Medical Research Institute, Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | - Gugulethu Mzobe
- Discipline of Traditional Medicine, University of KwaZulu-Natal, Durban, South Africa
- Centre for Aids Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Andile Mtshali
- Discipline of Traditional Medicine, University of KwaZulu-Natal, Durban, South Africa
- Centre for Aids Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Sobia Parveen
- Discipline of Traditional Medicine, University of KwaZulu-Natal, Durban, South Africa
- Centre for Aids Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Samukelisiwe Ngcobo
- Discipline of Traditional Medicine, University of KwaZulu-Natal, Durban, South Africa
- Centre for Aids Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Luke Invernizzi
- Discipline of Traditional Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Vinesh Maharaj
- Discipline of Traditional Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Mlungisi Ngcobo
- Discipline of Traditional Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Nceba Gqaleni
- Discipline of Traditional Medicine, University of KwaZulu-Natal, Durban, South Africa
- Nelson R. Mandela School of Medicine, Doris Duke Medical Research Institute, Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
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11
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Martínez-Domínguez SJ, García-Mateo S, Sainz-Arnal P, Martínez-García J, Gallego-Llera B, Lozano-Limones MJ, Hidalgo S, Gargallo-Puyuelo CJ, Latre-Santos M, Nocito-Colon MML, Martínez-Lostao L, Refaie E, Arroyo-Villarino MT, Del Rio-Nechaevsky M, Ramirez-Labrada A, Pardo J, Gomollón F, Baptista PM. Unravelling the cellular response to the SARS-COV-2 vaccine in inflammatory bowel disease patients on biologic drugs. Sci Rep 2023; 13:23061. [PMID: 38155275 PMCID: PMC10754931 DOI: 10.1038/s41598-023-50537-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 12/21/2023] [Indexed: 12/30/2023] Open
Abstract
Suboptimal vaccine response is a significant concern in patients with Inflammatory Bowel Disease (IBD) receiving biologic drugs. This single-center observational study involved 754 patients with IBD. In Phase I (October 2020-April 2021), 754 IBD participants who had not previously received the SARS-CoV-2 vaccine, underwent blood extraction to assess the seroprevalence of SARS-CoV-2 infection and IBD-related factors. Phase II (May 2021-October 2021) included a subgroup of 52 IBD participants with confirmed previous SARS-CoV-2 infection, who were studied for humoral and cellular response to the SARS-CoV-2 vaccine. In Phase I, treatment with anti-TNF was associated with lower rates of seroconversion (aOR 0.25 95% CI [0.10-0.61]). In Phase II, a significant increase in post-vaccination IgG levels was observed regardless of biologic treatment. However, patients treated with anti-TNF exhibited significantly lower IgG levels compared to those without IBD therapy (5.32 ± 2.47 vs. 7.99 ± 2.59 U/ml, p = 0.042). Following vaccination, a lymphocyte, monocyte, and NK cell activation pattern was observed, with no significant differences between patients receiving biologic drugs and those without IBD treatment. Despite lower seroprevalence and humoral response to the SARS-CoV-2 vaccine in patients treated with anti-TNF, the cellular response to the vaccine did not differ significantly from that patients without IBD therapy.
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Affiliation(s)
- Samuel J Martínez-Domínguez
- Digestive Diseases Department, University Hospital "Lozano Blesa", Av. San Juan Bosco, nº 15. PC: 50009, Zaragoza, Spain.
- Aragón Health Research Institute (IIS Aragón), Zaragoza, Spain.
- University of Zaragoza, Zaragoza, Spain.
| | - Sandra García-Mateo
- Digestive Diseases Department, University Hospital "Lozano Blesa", Av. San Juan Bosco, nº 15. PC: 50009, Zaragoza, Spain
- Aragón Health Research Institute (IIS Aragón), Zaragoza, Spain
- University of Zaragoza, Zaragoza, Spain
| | | | - Javier Martínez-García
- Aragón Health Research Institute (IIS Aragón), Zaragoza, Spain
- University of Zaragoza, Zaragoza, Spain
| | | | | | - Sandra Hidalgo
- Aragón Health Research Institute (IIS Aragón), Zaragoza, Spain
- University of Zaragoza, Zaragoza, Spain
| | - Carla J Gargallo-Puyuelo
- Digestive Diseases Department, University Hospital "Lozano Blesa", Av. San Juan Bosco, nº 15. PC: 50009, Zaragoza, Spain
- Aragón Health Research Institute (IIS Aragón), Zaragoza, Spain
- University of Zaragoza, Zaragoza, Spain
| | - Marta Latre-Santos
- Digestive Diseases Department, University Hospital "Lozano Blesa", Av. San Juan Bosco, nº 15. PC: 50009, Zaragoza, Spain
| | | | - Luis Martínez-Lostao
- Aragón Health Research Institute (IIS Aragón), Zaragoza, Spain
- University of Zaragoza, Zaragoza, Spain
- Immunology Department, University Hospital "Lozano Blesa", Zaragoza, Spain
- Institute of Nanoscience and Material of Aragón (INMA), Zaragoza, Spain
| | - Engy Refaie
- Scuola di Specializzazione in Chirurgia Generale, Università Degli Studi di Pavia Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Maria Teresa Arroyo-Villarino
- Digestive Diseases Department, University Hospital "Lozano Blesa", Av. San Juan Bosco, nº 15. PC: 50009, Zaragoza, Spain
- Aragón Health Research Institute (IIS Aragón), Zaragoza, Spain
- University of Zaragoza, Zaragoza, Spain
| | - Marcela Del Rio-Nechaevsky
- CIBEREnfermedadesRaras (CIBERER), Madrid, Spain
- Biomedical Engineering Department, Universidad Carlos III de Madrid, Madrid, Spain
- IIS-Fundación Jiménez Díaz, Madrid, Spain
| | - Ariel Ramirez-Labrada
- Aragón Health Research Institute (IIS Aragón), Zaragoza, Spain
- University of Zaragoza, Zaragoza, Spain
- CIBER Enfermedades Infecciosas (CIBERINFEC), Madrid, Spain
| | - Julián Pardo
- Aragón Health Research Institute (IIS Aragón), Zaragoza, Spain
- University of Zaragoza, Zaragoza, Spain
- CIBER Enfermedades Infecciosas (CIBERINFEC), Madrid, Spain
| | - Fernando Gomollón
- Digestive Diseases Department, University Hospital "Lozano Blesa", Av. San Juan Bosco, nº 15. PC: 50009, Zaragoza, Spain
- Aragón Health Research Institute (IIS Aragón), Zaragoza, Spain
- University of Zaragoza, Zaragoza, Spain
- CIBER Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain
| | - Pedro M Baptista
- Aragón Health Research Institute (IIS Aragón), Zaragoza, Spain
- Biomedical Engineering Department, Universidad Carlos III de Madrid, Madrid, Spain
- CIBER Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain
- Fundación ARAID, Zaragoza, Spain
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12
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Hu Z, Zuo C, Mao C, Shi C, Xu Y. Peripheral immune markers and amyotrophic lateral sclerosis: a Mendelian randomization study. Front Neurosci 2023; 17:1269354. [PMID: 38188028 PMCID: PMC10768049 DOI: 10.3389/fnins.2023.1269354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 12/06/2023] [Indexed: 01/09/2024] Open
Abstract
Introduction The peripheral immune system changes in amyotrophic lateral sclerosis (ALS), but the causal relationship between the two is still controversial. Methods In this study, we aimed to estimate the causal relationship between peripheral immune markers and ALS using a two-sample Mendelian randomization method. Genome-wide association study (GWAS) data on peripheral blood immune traits from European populations were used for exposure, and ALS summary statistics were used as the outcome. The causal relationship was evaluated by inverse variance weighting, MR-Egger, and weighted median methods and verified by multiple sensitivity analysis. Results We found that the increase of one standard deviation of lymphocyte count is related to reducing ALS risk. CD3 on effector memory CD4+ T cell, HLA DR+ CD4+ T cell, effector memory CD8+ T cell, terminally differentiated CD8+ T cell and CD28- CD8+ T cell is also a protective factor for ALS. Among the circulating immune protein, the increase of one standard deviation of α-2-macroglobulin receptor-associated protein (α-2-MRAP) and C4b showed associated with low risk of ALS, while Interleukin-21 (IL-21) increases the risk of ALS. Discussion Our study further reveals the important role of peripheral immune activity in ALS.
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Affiliation(s)
- Zhengwei Hu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
- Academy of Medical Sciences of Zhengzhou University, Zhengzhou, China
| | - Chunyan Zuo
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
| | - Chengyuan Mao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, China
| | - Changhe Shi
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, China
| | - Yuming Xu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, China
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13
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Herrera-De La Mata S, Ramírez-Suástegui C, Mistry H, Castañeda-Castro FE, Kyyaly MA, Simon H, Liang S, Lau L, Barber C, Mondal M, Zhang H, Arshad SH, Kurukulaaratchy RJ, Vijayanand P, Seumois G. Cytotoxic CD4 + tissue-resident memory T cells are associated with asthma severity. MED 2023; 4:875-897.e8. [PMID: 37865091 PMCID: PMC10964988 DOI: 10.1016/j.medj.2023.09.003] [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: 01/03/2023] [Revised: 07/02/2023] [Accepted: 09/18/2023] [Indexed: 10/23/2023]
Abstract
BACKGROUND Patients with severe uncontrolled asthma represent a distinct endotype with persistent airway inflammation and remodeling that is refractory to corticosteroid treatment. CD4+ TH2 cells play a central role in orchestrating asthma pathogenesis, and biologic therapies targeting their cytokine pathways have had promising outcomes. However, not all patients respond well to such treatment, and their effects are not always durable nor reverse airway remodeling. This observation raises the possibility that other CD4+ T cell subsets and their effector molecules may drive airway inflammation and remodeling. METHODS We performed single-cell transcriptome analysis of >50,000 airway CD4+ T cells isolated from bronchoalveolar lavage samples from 30 patients with mild and severe asthma. FINDINGS We observed striking heterogeneity in the nature of CD4+ T cells present in asthmatics' airways, with tissue-resident memory T (TRM) cells making a dominant contribution. Notably, in severe asthmatics, a subset of CD4+ TRM cells (CD103-expressing) was significantly increased, comprising nearly 65% of all CD4+ T cells in the airways of male patients with severe asthma when compared to mild asthma (13%). This subset was enriched for transcripts linked to T cell receptor activation (HLA-DRB1, HLA-DPA1) and cytotoxicity (GZMB, GZMA) and, following stimulation, expressed high levels of transcripts encoding for pro-inflammatory non-TH2 cytokines (CCL3, CCL4, CCL5, TNF, LIGHT) that could fuel persistent airway inflammation and remodeling. CONCLUSIONS Our findings indicate the need to look beyond the traditional T2 model of severe asthma to better understand the heterogeneity of this disease. FUNDING This research was funded by the NIH.
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Affiliation(s)
| | | | - Heena Mistry
- La Jolla Institute for Immunology, La Jolla, CA 92037, USA; Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK; National Institute for Health Research Southampton Biomedical Research Centre, University Hospital Southampton Foundation Trust, Southampton SO16 6YD, UK; The David Hide Asthma and Allergy Research Centre, St. Mary's Hospital, Newport PO30 5TG, Isle of Wight, UK
| | | | - Mohammad A Kyyaly
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK; The David Hide Asthma and Allergy Research Centre, St. Mary's Hospital, Newport PO30 5TG, Isle of Wight, UK
| | - Hayley Simon
- La Jolla Institute for Immunology, La Jolla, CA 92037, USA
| | - Shu Liang
- La Jolla Institute for Immunology, La Jolla, CA 92037, USA
| | - Laurie Lau
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK; National Institute for Health Research Southampton Biomedical Research Centre, University Hospital Southampton Foundation Trust, Southampton SO16 6YD, UK
| | - Clair Barber
- National Institute for Health Research Southampton Biomedical Research Centre, University Hospital Southampton Foundation Trust, Southampton SO16 6YD, UK
| | | | - Hongmei Zhang
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN 38152, USA
| | - Syed Hasan Arshad
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK; National Institute for Health Research Southampton Biomedical Research Centre, University Hospital Southampton Foundation Trust, Southampton SO16 6YD, UK; The David Hide Asthma and Allergy Research Centre, St. Mary's Hospital, Newport PO30 5TG, Isle of Wight, UK
| | - Ramesh J Kurukulaaratchy
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK; National Institute for Health Research Southampton Biomedical Research Centre, University Hospital Southampton Foundation Trust, Southampton SO16 6YD, UK; The David Hide Asthma and Allergy Research Centre, St. Mary's Hospital, Newport PO30 5TG, Isle of Wight, UK.
| | - Pandurangan Vijayanand
- La Jolla Institute for Immunology, La Jolla, CA 92037, USA; Department of Medicine, University of California San Diego, La Jolla, CA 92037, USA; Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 3BX, UK.
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14
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Ali NM, Herati RS, Mehta SA, Leonard J, Miles J, Lonze BE, DiMaggio C, Tatapudi VS, Stewart ZA, Alnazari N, Neumann HJ, Thomas J, Cartiera K, Weldon E, Michael J, Hickson C, Whiteson H, Khalil K, Stern JM, Allen JR, Tuen M, Gray-Gaillard SL, Solis SM, Samanovic MI, Mulligan MJ, Montgomery RA. Immune response, phenotyping and molecular graft surveillance in kidney transplant recipients following severe acute respiratory syndrome coronavirus 2 vaccination. Transpl Infect Dis 2023; 25:e14122. [PMID: 37707287 DOI: 10.1111/tid.14122] [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: 12/21/2022] [Revised: 07/12/2023] [Accepted: 08/01/2023] [Indexed: 09/15/2023]
Abstract
BACKGROUND Understanding immunogenicity and alloimmune risk following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination in kidney transplant recipients is imperative to understanding the correlates of protection and to inform clinical guidelines. METHODS We studied 50 kidney transplant recipients following SARS-CoV-2 vaccination and quantified their anti-spike protein antibody, donor-derived cell-free DNA (dd-cfDNA), gene expression profiling (GEP), and alloantibody formation. RESULTS Participants were stratified using nucleocapsid testing as either SARS-CoV-2-naïve or experienced prior to vaccination. One of 34 (3%) SARS-CoV-2 naïve participants developed anti-spike protein antibodies. In contrast, the odds ratio for the association of a prior history of SARS-CoV-2 infection with vaccine response was 18.3 (95% confidence interval 3.2, 105.0, p < 0.01). Pre- and post-vaccination levels did not change for median dd-cfDNA (0.23% vs. 0.21% respectively, p = 0.13), GEP scores (9.85 vs. 10.4 respectively, p = 0.45), calculated panel reactive antibody, de-novo donor specific antibody status, or estimated glomerular filtration rate. CONCLUSIONS SARS-CoV-2 vaccines do not appear to trigger alloimmunity in kidney transplant recipients. The degree of vaccine immunogenicity was associated most strongly with a prior history of SARS-CoV-2 infection.
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Affiliation(s)
- Nicole M Ali
- NYU Langone Transplant Institute, New York, New York, USA
- Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Ramin S Herati
- Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Sapna A Mehta
- NYU Langone Transplant Institute, New York, New York, USA
- Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | | | - Jake Miles
- Medical Affairs, CareDx, Inc, Brisbane, California, USA
| | - Bonnie E Lonze
- NYU Langone Transplant Institute, New York, New York, USA
- Department of Surgery, NYU Grossman School of Medicine, New York, New York, USA
| | - Charles DiMaggio
- Department of Surgery, NYU Grossman School of Medicine, New York, New York, USA
| | - Vasishta S Tatapudi
- NYU Langone Transplant Institute, New York, New York, USA
- Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Zoe A Stewart
- NYU Langone Transplant Institute, New York, New York, USA
- Department of Surgery, NYU Grossman School of Medicine, New York, New York, USA
| | | | - Henry J Neumann
- NYU Langone Transplant Institute, New York, New York, USA
- Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Jeffrey Thomas
- NYU Langone Transplant Institute, New York, New York, USA
| | | | - Elaina Weldon
- NYU Langone Transplant Institute, New York, New York, USA
| | | | | | | | - Karen Khalil
- NYU Langone Transplant Institute, New York, New York, USA
| | - Jeffrey M Stern
- NYU Langone Transplant Institute, New York, New York, USA
- Department of Surgery, NYU Grossman School of Medicine, New York, New York, USA
| | - Joseph R Allen
- Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Michael Tuen
- Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | | | - Sabrina M Solis
- Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Marie I Samanovic
- Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Mark J Mulligan
- Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Robert A Montgomery
- NYU Langone Transplant Institute, New York, New York, USA
- Department of Surgery, NYU Grossman School of Medicine, New York, New York, USA
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15
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Kang JB, Shen AZ, Gurajala S, Nathan A, Rumker L, Aguiar VRC, Valencia C, Lagattuta KA, Zhang F, Jonsson AH, Yazar S, Alquicira-Hernandez J, Khalili H, Ananthakrishnan AN, Jagadeesh K, Dey K, Daly MJ, Xavier RJ, Donlin LT, Anolik JH, Powell JE, Rao DA, Brenner MB, Gutierrez-Arcelus M, Luo Y, Sakaue S, Raychaudhuri S. Mapping the dynamic genetic regulatory architecture of HLA genes at single-cell resolution. Nat Genet 2023; 55:2255-2268. [PMID: 38036787 PMCID: PMC10787945 DOI: 10.1038/s41588-023-01586-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 10/19/2023] [Indexed: 12/02/2023]
Abstract
The human leukocyte antigen (HLA) locus plays a critical role in complex traits spanning autoimmune and infectious diseases, transplantation and cancer. While coding variation in HLA genes has been extensively documented, regulatory genetic variation modulating HLA expression levels has not been comprehensively investigated. Here we mapped expression quantitative trait loci (eQTLs) for classical HLA genes across 1,073 individuals and 1,131,414 single cells from three tissues. To mitigate technical confounding, we developed scHLApers, a pipeline to accurately quantify single-cell HLA expression using personalized reference genomes. We identified cell-type-specific cis-eQTLs for every classical HLA gene. Modeling eQTLs at single-cell resolution revealed that many eQTL effects are dynamic across cell states even within a cell type. HLA-DQ genes exhibit particularly cell-state-dependent effects within myeloid, B and T cells. For example, a T cell HLA-DQA1 eQTL ( rs3104371 ) is strongest in cytotoxic cells. Dynamic HLA regulation may underlie important interindividual variability in immune responses.
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Affiliation(s)
- Joyce B Kang
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Amber Z Shen
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Saisriram Gurajala
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Aparna Nathan
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Laurie Rumker
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Vitor R C Aguiar
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Cristian Valencia
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kaitlyn A Lagattuta
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Fan Zhang
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology and the Center for Health Artificial Intelligence, University of Colorado School of Medicine, Aurora, CO, USA
| | - Anna Helena Jonsson
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Seyhan Yazar
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | | | - Hamed Khalili
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Ashwin N Ananthakrishnan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Kushal Dey
- Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Physiology, Biophysics and Systems Biology Program, Weill Cornell Medicine, New York, NY, USA
| | - Mark J Daly
- Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- The Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Ramnik J Xavier
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Laura T Donlin
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Jennifer H Anolik
- Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Joseph E Powell
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Deepak A Rao
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Michael B Brenner
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Maria Gutierrez-Arcelus
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Yang Luo
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | - Saori Sakaue
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA.
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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16
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Malyshkina A, Brüggemann A, Paschen A, Dittmer U. Cytotoxic CD4 + T cells in chronic viral infections and cancer. Front Immunol 2023; 14:1271236. [PMID: 37965314 PMCID: PMC10642198 DOI: 10.3389/fimmu.2023.1271236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 10/16/2023] [Indexed: 11/16/2023] Open
Abstract
CD4+ T cells play an important role in immune responses against pathogens and cancer cells. Although their main task is to provide help to other effector immune cells, a growing number of infections and cancer entities have been described in which CD4+ T cells exhibit direct effector functions against infected or transformed cells. The most important cell type in this context are cytotoxic CD4+ T cells (CD4+ CTL). In infectious diseases anti-viral CD4+ CTL are mainly found in chronic viral infections. Here, they often compensate for incomplete or exhausted CD8+ CTL responses. The induction of CD4+ CTL is counter-regulated by Tregs, most likely because they can be dangerous inducers of immunopathology. In viral infections, CD4+ CTL often kill via the Fas/FasL pathway, but they can also facilitate the exocytosis pathway of killing. Thus, they are very important effectors to keep persistent virus in check and guarantee host survival. In contrast to viral infections CD4+ CTL attracted attention as direct anti-tumor effectors in solid cancers only recently. Anti-tumor CD4+ CTL are defined by the expression of cytolytic markers and have been detected within the lymphocyte infiltrates of different human cancers. They kill tumor cells in an antigen-specific MHC class II-restricted manner not only by cytolysis but also by release of IFNγ. Thus, CD4+ CTL are interesting tools for cure approaches in chronic viral infections and cancer, but their potential to induce immunopathology has to be carefully taken into consideration.
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Affiliation(s)
- Anna Malyshkina
- Institute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Alicia Brüggemann
- Department of Dermatology, Venereology, and Allergology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Annette Paschen
- Department of Dermatology, Venereology, and Allergology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Ulf Dittmer
- Institute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
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17
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Mbambo G, Dwivedi A, Ifeonu OO, Munro JB, Shrestha B, Bromley RE, Hodges T, Adkins RS, Kouriba B, Diarra I, Niangaly A, Kone AK, Coulibaly D, Traore K, Dolo A, Thera MA, Laurens MB, Doumbo OK, Plowe CV, Berry AA, Travassos M, Lyke KE, Silva JC. Immunogenomic profile at baseline predicts host susceptibility to clinical malaria. Front Immunol 2023; 14:1179314. [PMID: 37465667 PMCID: PMC10351378 DOI: 10.3389/fimmu.2023.1179314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 06/19/2023] [Indexed: 07/20/2023] Open
Abstract
Introduction Host gene and protein expression impact susceptibility to clinical malaria, but the balance of immune cell populations, cytokines and genes that contributes to protection, remains incompletely understood. Little is known about the determinants of host susceptibility to clinical malaria at a time when acquired immunity is developing. Methods We analyzed peripheral blood mononuclear cells (PBMCs) collected from children who differed in susceptibility to clinical malaria, all from a small town in Mali. PBMCs were collected from children aged 4-6 years at the start, peak and end of the malaria season. We characterized the immune cell composition and cytokine secretion for a subset of 20 children per timepoint (10 children with no symptomatic malaria age-matched to 10 children with >2 symptomatic malarial illnesses), and gene expression patterns for six children (three per cohort) per timepoint. Results We observed differences between the two groups of children in the expression of genes related to cell death and inflammation; in particular, inflammatory genes such as CXCL10 and STAT1 and apoptotic genes such as XAF1 were upregulated in susceptible children before the transmission season began. We also noted higher frequency of HLA-DR+ CD4 T cells in protected children during the peak of the malaria season and comparable levels cytokine secretion after stimulation with malaria schizonts across all three time points. Conclusion This study highlights the importance of baseline immune signatures in determining disease outcome. Our data suggests that differences in apoptotic and inflammatory gene expression patterns can serve as predictive markers of susceptibility to clinical malaria.
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Affiliation(s)
- Gillian Mbambo
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Ankit Dwivedi
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Olukemi O. Ifeonu
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, United States
| | - James B. Munro
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Biraj Shrestha
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Robin E. Bromley
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Theresa Hodges
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Ricky S. Adkins
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Bourema Kouriba
- Malaria Research and Training Center, International Centers for Excellence in Research (NIH), University of Science Techniques and Technologies of Bamako, Bamako, Mali
| | - Issa Diarra
- Malaria Research and Training Center, International Centers for Excellence in Research (NIH), University of Science Techniques and Technologies of Bamako, Bamako, Mali
| | - Amadou Niangaly
- Malaria Research and Training Center, International Centers for Excellence in Research (NIH), University of Science Techniques and Technologies of Bamako, Bamako, Mali
| | - Abdoulaye K. Kone
- Malaria Research and Training Center, International Centers for Excellence in Research (NIH), University of Science Techniques and Technologies of Bamako, Bamako, Mali
| | - Drissa Coulibaly
- Malaria Research and Training Center, International Centers for Excellence in Research (NIH), University of Science Techniques and Technologies of Bamako, Bamako, Mali
| | - Karim Traore
- Malaria Research and Training Center, International Centers for Excellence in Research (NIH), University of Science Techniques and Technologies of Bamako, Bamako, Mali
| | - Amagana Dolo
- Malaria Research and Training Center, International Centers for Excellence in Research (NIH), University of Science Techniques and Technologies of Bamako, Bamako, Mali
| | - Mahamadou A. Thera
- Malaria Research and Training Center, International Centers for Excellence in Research (NIH), University of Science Techniques and Technologies of Bamako, Bamako, Mali
| | - Matthew B. Laurens
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Ogobara K. Doumbo
- Malaria Research and Training Center, International Centers for Excellence in Research (NIH), University of Science Techniques and Technologies of Bamako, Bamako, Mali
| | - Christopher V. Plowe
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Andrea A. Berry
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Mark Travassos
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Kirsten E. Lyke
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Joana C. Silva
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, United States
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, United States
- Global Health and Tropical Medicine, Instituto deHigiene e Medicina Tropical, Universidade Nova de Lisboa (GHTM, IHMT, UNL), Lisboa, Portugal
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18
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Ishii T, Hamada K, Jubishi D, Hashimoto H, Okamoto K, Hisasue N, Sunohara M, Saito M, Shinohara T, Yamashita M, Wakimoto Y, Otani A, Ikeda M, Harada S, Okugawa S, Moriya K, Yanagimoto S. Waning cellular immune responses and predictive factors in maintaining cellular immunity against SARS-CoV-2 six months after BNT162b2 mRNA vaccination. Sci Rep 2023; 13:9607. [PMID: 37311763 DOI: 10.1038/s41598-023-36397-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 06/02/2023] [Indexed: 06/15/2023] Open
Abstract
Several clinical trials have shown that the humoral response produced by anti-spike antibodies elicited by coronavirus disease 2019 (COVID-19) vaccines gradually declines. The kinetics, durability and influence of epidemiological and clinical factors on cellular immunity have not been fully elucidated. We analyzed cellular immune responses elicited by BNT162b2 mRNA vaccines in 321 health care workers using whole blood interferon-gamma (IFN-γ) release assays. IFN-γ, induced by CD4 + and CD8 + T cells stimulated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike epitopes (Ag2), levels were highest at 3 weeks after the second vaccination (6 W) and decreased by 37.4% at 3 months (4 M) and 60.0% at 6 months (7 M), the decline of which seemed slower than that of anti-spike antibody levels. Multiple regression analysis revealed that the levels of IFN-γ induced by Ag2 at 7 M were significantly correlated with age, dyslipidemia, focal adverse reactions to full vaccination, lymphocyte and monocyte counts in whole blood, Ag2 levels before the second vaccination, and Ag2 levels at 6 W. We clarified the dynamics and predictive factors for the long-lasting effects of cellular immune responses. The results emphasize the need for a booster vaccine from the perspective of SARS-CoV-2 vaccine-elicited cellular immunity.
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Affiliation(s)
- Takashi Ishii
- Division for Health Service Promotion, The University of Tokyo, Hongo 7-3-1, Bunkyo, TokyoTokyo, 113-8655, Japan.
| | - Kensuke Hamada
- Division for Health Service Promotion, The University of Tokyo, Hongo 7-3-1, Bunkyo, TokyoTokyo, 113-8655, Japan
| | - Daisuke Jubishi
- Department of Infectious Diseases, The University of Tokyo Hospital, Tokyo, Japan
| | - Hideki Hashimoto
- Department of Infectious Diseases, The University of Tokyo Hospital, Tokyo, Japan
| | - Koh Okamoto
- Department of Infectious Diseases, The University of Tokyo Hospital, Tokyo, Japan
| | - Naoko Hisasue
- Division for Health Service Promotion, The University of Tokyo, Hongo 7-3-1, Bunkyo, TokyoTokyo, 113-8655, Japan
| | - Mitsuhiro Sunohara
- Division for Health Service Promotion, The University of Tokyo, Hongo 7-3-1, Bunkyo, TokyoTokyo, 113-8655, Japan
| | - Minako Saito
- Division for Health Service Promotion, The University of Tokyo, Hongo 7-3-1, Bunkyo, TokyoTokyo, 113-8655, Japan
| | - Takayuki Shinohara
- Department of Infectious Diseases, The University of Tokyo Hospital, Tokyo, Japan
| | - Marie Yamashita
- Department of Infectious Diseases, The University of Tokyo Hospital, Tokyo, Japan
| | - Yuji Wakimoto
- Department of Infectious Diseases, The University of Tokyo Hospital, Tokyo, Japan
| | - Amato Otani
- Department of Infectious Diseases, The University of Tokyo Hospital, Tokyo, Japan
| | - Mahoko Ikeda
- Department of Infectious Diseases, The University of Tokyo Hospital, Tokyo, Japan
- Department of Infection Control and Prevention, The University of Tokyo Hospital, Tokyo, Japan
| | - Sohei Harada
- Department of Infection Control and Prevention, The University of Tokyo Hospital, Tokyo, Japan
| | - Shu Okugawa
- Department of Infectious Diseases, The University of Tokyo Hospital, Tokyo, Japan
| | - Kyoji Moriya
- Division for Health Service Promotion, The University of Tokyo, Hongo 7-3-1, Bunkyo, TokyoTokyo, 113-8655, Japan
| | - Shintaro Yanagimoto
- Division for Health Service Promotion, The University of Tokyo, Hongo 7-3-1, Bunkyo, TokyoTokyo, 113-8655, Japan.
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19
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Sudoma I, Goncharova Y, Dons'koy B, Mykytenko D. Immune phenotype of the endometrium in patients with recurrent implantation failures after the transfer of genetically tested embryos in assisted reproductive technology programs. J Reprod Immunol 2023; 157:103943. [PMID: 36966647 DOI: 10.1016/j.jri.2023.103943] [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: 12/17/2022] [Revised: 03/08/2023] [Accepted: 03/20/2023] [Indexed: 05/25/2023]
Abstract
Recurrent implantation failures (RIF) in assisted reproduction programs are one of the most challenging problems. Among the factors that can adversely affect implantation, endometrial immune structural disorders may be one of the leading causes. The aim of our work was to study the immune features of the endometrium in women with RIF after genetically tested embryo transfer in comparison with fertile gestational carriers. Immune cells in endometrial samples were studied by flow cytometry and RNA expression of IL (interleukin)15, IL18, fibroblast growth factor-inducible 14 receptor (Fn14), and tumor necrosis factor-like weak inducer of apoptosis (TWEAK) by reverse polymerase chain reaction. In one-third of the cases, a unique immune profile of the endometrium, which we called the not transformed endometrial immune phenotype, was found. It is characterized by a combination of features, such as high expression of HLA-DR on natural killers (NK), increased fraction of CD16 + , and a decreased fraction of CD56bright endometrial NK. In addition, when compared to gestational carriers, patients with RIF had a greater discrepancy between IL18 mRNA expression data, reduced mean TWEAK and Fn14 levels, and increased IL18/TWEAK and IL15/Fn14 ratios. Immune abnormalities that were found in more than half of the patients (66.7 %) may be the cause of implantation failures in genetically tested embryo transfer programs.
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Affiliation(s)
- Iryna Sudoma
- Shupyk National Healthcare University of Ukraine, Ukraine; Clinic of Reproductive Medicine NADIYA, Ukraine
| | | | - Borys Dons'koy
- State Institution "Institute of Pediatrics, Obstetrics and Gynecology of NAMS of Ukraine", Ukraine
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20
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Tippalagama R, Chihab LY, Kearns K, Lewis S, Panda S, Willemsen L, Burel JG, Lindestam Arlehamn CS. Antigen-specificity measurements are the key to understanding T cell responses. Front Immunol 2023; 14:1127470. [PMID: 37122719 PMCID: PMC10140422 DOI: 10.3389/fimmu.2023.1127470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 03/30/2023] [Indexed: 05/02/2023] Open
Abstract
Antigen-specific T cells play a central role in the adaptive immune response and come in a wide range of phenotypes. T cell receptors (TCRs) mediate the antigen-specificities found in T cells. Importantly, high-throughput TCR sequencing provides a fingerprint which allows tracking of specific T cells and their clonal expansion in response to particular antigens. As a result, many studies have leveraged TCR sequencing in an attempt to elucidate the role of antigen-specific T cells in various contexts. Here, we discuss the published approaches to studying antigen-specific T cells and their specific TCR repertoire. Further, we discuss how these methods have been applied to study the TCR repertoire in various diseases in order to characterize the antigen-specific T cells involved in the immune control of disease.
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21
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Kang JB, Shen AZ, Sakaue S, Luo Y, Gurajala S, Nathan A, Rumker L, Aguiar VRC, Valencia C, Lagattuta K, Zhang F, Jonsson AH, Yazar S, Alquicira-Hernandez J, Khalili H, Ananthakrishnan AN, Jagadeesh K, Dey K, Daly MJ, Xavier RJ, Donlin LT, Anolik JH, Powell JE, Rao DA, Brenner MB, Gutierrez-Arcelus M, Raychaudhuri S. Mapping the dynamic genetic regulatory architecture of HLA genes at single-cell resolution. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.14.23287257. [PMID: 36993194 PMCID: PMC10055604 DOI: 10.1101/2023.03.14.23287257] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
The human leukocyte antigen (HLA) locus plays a critical role in complex traits spanning autoimmune and infectious diseases, transplantation, and cancer. While coding variation in HLA genes has been extensively documented, regulatory genetic variation modulating HLA expression levels has not been comprehensively investigated. Here, we mapped expression quantitative trait loci (eQTLs) for classical HLA genes across 1,073 individuals and 1,131,414 single cells from three tissues, using personalized reference genomes to mitigate technical confounding. We identified cell-type-specific cis-eQTLs for every classical HLA gene. Modeling eQTLs at single-cell resolution revealed that many eQTL effects are dynamic across cell states even within a cell type. HLA-DQ genes exhibit particularly cell-state-dependent effects within myeloid, B, and T cells. Dynamic HLA regulation may underlie important interindividual variability in immune responses.
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Affiliation(s)
- Joyce B. Kang
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Amber Z. Shen
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Saori Sakaue
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Yang Luo
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | - Saisriram Gurajala
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Aparna Nathan
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Laurie Rumker
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Vitor R. C. Aguiar
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Cristian Valencia
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Kaitlyn Lagattuta
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Fan Zhang
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology and the Center for Health Artificial Intelligence, University of Colorado School of Medicine, Aurora, CO, USA
| | - Anna Helena Jonsson
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Seyhan Yazar
- Garvan Institute of Medical Research, Sydney, NSW, Australia
| | | | - Hamed Khalili
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Ashwin N. Ananthakrishnan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | | | - Kushal Dey
- Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | | | - Mark J. Daly
- Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- The Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Ramnik J. Xavier
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Laura T. Donlin
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Jennifer H. Anolik
- Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | | | - Deepak A. Rao
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Michael B. Brenner
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Maria Gutierrez-Arcelus
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
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Sarmah DT, Parveen R, Kundu J, Chatterjee S. Latent tuberculosis and computational biology: A less-talked affair. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2023; 178:17-31. [PMID: 36781150 DOI: 10.1016/j.pbiomolbio.2023.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 02/13/2023]
Abstract
Tuberculosis (TB) is a pervasive and devastating air-borne disease caused by the organisms belonging to the Mycobacterium tuberculosis (Mtb) complex. Currently, it is the global leader in infectious disease-related death in adults. The proclivity of TB to enter the latent state has become a significant impediment to the global effort to eradicate TB. Despite decades of research, latent tuberculosis (LTB) mechanisms remain poorly understood, making it difficult to develop efficient treatment methods. In this review, we seek to shed light on the current understanding of the mechanism of LTB, with an accentuation on the insights gained through computational biology. We have outlined various well-established computational biology components, such as omics, network-based techniques, mathematical modelling, artificial intelligence, and molecular docking, to disclose the crucial facets of LTB. Additionally, we highlighted important tools and software that may be used to conduct a variety of systems biology assessments. Finally, we conclude the article by addressing the possible future directions in this field, which might help a better understanding of LTB progression.
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Affiliation(s)
- Dipanka Tanu Sarmah
- Complex Analysis Group, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, 121001, India
| | - Rubi Parveen
- Complex Analysis Group, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, 121001, India
| | - Jayendrajyoti Kundu
- Complex Analysis Group, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, 121001, India
| | - Samrat Chatterjee
- Complex Analysis Group, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, 121001, India.
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23
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Li YH, Huang WW, He WQ, He XY, Wang XH, Lin YL, Zhao ZJ, Zheng YT, Pang W. Longitudinal analysis of immunocyte responses and inflammatory cytokine profiles in SFTSV-infected rhesus macaques. Front Immunol 2023; 14:1143796. [PMID: 37033979 PMCID: PMC10073517 DOI: 10.3389/fimmu.2023.1143796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 03/10/2023] [Indexed: 04/11/2023] Open
Abstract
Severe fever with thrombocytopenia syndrome virus (SFTSV), an emerging bunyavirus, causes severe fever with thrombocytopenia syndrome (SFTS), with a high fatality rate of 20%-30%. At present, however, the pathogenesis of SFTSV remains largely unclear and no specific therapeutics or vaccines against its infection are currently available. Therefore, animal models that can faithfully recapitulate human disease are important to help understand and treat SFTSV infection. Here, we infected seven Chinese rhesus macaques (Macaca mulatta) with SFTSV. Virological and immunological changes were monitored over 28 days post-infection. Results showed that mild symptoms appeared in the macaques, including slight fever, thrombocytopenia, leukocytopenia, increased aspartate aminotransferase (AST) and creatine kinase (CK) in the blood. Viral replication was persistently detectable in lymphoid tissues and bone marrow even after viremia disappeared. Immunocyte detection showed that the number of T cells (mainly CD8+ T cells), B cells, natural killer (NK) cells, and monocytes decreased during infection. In detail, effector memory CD8+ T cells declined but showed increased activation, while both the number and activation of effector memory CD4+ T cells increased significantly. Furthermore, activated memory B cells decreased, while CD80+/CD86+ B cells and resting memory B cells (CD27+CD21+) increased significantly. Intermediate monocytes (CD14+CD16+) increased, while myeloid dendritic cells (mDCs) rather than plasmacytoid dendritic cells (pDCs) markedly declined during early infection. Cytokines, including interleukin-6 (IL-6), interferon-inducible protein-10 (IP-10), and macrophage inflammatory protein 1 (MCP-1), were substantially elevated in blood and were correlated with activated CD4+ T cells, B cells, CD16+CD56+ NK cells, CD14+CD16+ monocytes during infection. Thus, this study demonstrates that Chinese rhesus macaques infected with SFTSV resemble mild clinical symptoms of human SFTS and provides detailed virological and immunological parameters in macaques for understanding the pathogenesis of SFTSV infection.
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Affiliation(s)
- Yi-Hui Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, Kunming Institute of Zoology - The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Wen-Wu Huang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, Kunming Institute of Zoology - The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
- Office of Science and Technology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Wen-Qiang He
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, Kunming Institute of Zoology - The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xiao-Yan He
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, Kunming Institute of Zoology - The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xue-Hui Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, Kunming Institute of Zoology - The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- School of Life Sciences, University of Science and Technology of China, Hefei, Anhui, China
| | - Ya-Long Lin
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, Kunming Institute of Zoology - The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Zu-Jiang Zhao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, Kunming Institute of Zoology - The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yong-Tang Zheng
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, Kunming Institute of Zoology - The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
- *Correspondence: Yong-Tang Zheng, ; Wei Pang,
| | - Wei Pang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, Kunming Institute of Zoology - The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
- *Correspondence: Yong-Tang Zheng, ; Wei Pang,
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24
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Tervi A, Junna N, Broberg M, Jones SE, Strausz S, Kreivi HR, Heckman CA, Ollila HM. Large registry-based analysis of genetic predisposition to tuberculosis identifies genetic risk factors at HLA. Hum Mol Genet 2023; 32:161-171. [PMID: 36018815 PMCID: PMC9838093 DOI: 10.1093/hmg/ddac212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 07/27/2022] [Accepted: 08/23/2022] [Indexed: 01/19/2023] Open
Abstract
Tuberculosis is a significant public health concern resulting in the death of over 1 million individuals each year worldwide. While treatment options and vaccines exist, a substantial number of infections still remain untreated or are caused by treatment resistant strains. Therefore, it is important to identify mechanisms that contribute to risk and prognosis of tuberculosis as this may provide tools to understand disease mechanisms and provide novel treatment options for those with severe infection. Our goal was to identify genetic risk factors that contribute to the risk of tuberculosis and to understand biological mechanisms and causality behind the risk of tuberculosis. A total of 1895 individuals in the FinnGen study had International Classification of Diseases-based tuberculosis diagnosis. Genome-wide association study analysis identified genetic variants with statistically significant association with tuberculosis at the human leukocyte antigen (HLA) region (P < 5e-8). Fine mapping of the HLA association provided evidence for one protective haplotype tagged by HLA DQB1*05:01 (P = 1.82E-06, OR = 0.81 [CI 95% 0.74-0.88]), and predisposing alleles tagged by HLA DRB1*13:02 (P = 0.00011, OR = 1.35 [CI 95% 1.16-1.57]). Furthermore, genetic correlation analysis showed association with earlier reported risk factors including smoking (P < 0.05). Mendelian randomization supported smoking as a risk factor for tuberculosis (inverse-variance weighted P < 0.05, OR = 1.83 [CI 95% 1.15-2.93]) with no significant evidence of pleiotropy. Our findings indicate that specific HLA alleles associate with the risk of tuberculosis. In addition, lifestyle risk factors such as smoking contribute to the risk of developing tuberculosis.
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Affiliation(s)
- Anniina Tervi
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Nella Junna
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Martin Broberg
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Samuel E Jones
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
| | | | - Satu Strausz
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Hanna-Riikka Kreivi
- Department of Pulmonology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Caroline A Heckman
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Hanna M Ollila
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.,Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
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25
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Piehl N, van Olst L, Ramakrishnan A, Teregulova V, Simonton B, Zhang Z, Tapp E, Channappa D, Oh H, Losada PM, Rutledge J, Trelle AN, Mormino EC, Elahi F, Galasko DR, Henderson VW, Wagner AD, Wyss-Coray T, Gate D. Cerebrospinal fluid immune dysregulation during healthy brain aging and cognitive impairment. Cell 2022; 185:5028-5039.e13. [PMID: 36516855 PMCID: PMC9815831 DOI: 10.1016/j.cell.2022.11.019] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 09/27/2022] [Accepted: 11/17/2022] [Indexed: 12/15/2022]
Abstract
Cerebrospinal fluid (CSF) contains a tightly regulated immune system. However, knowledge is lacking about how CSF immunity is altered with aging or neurodegenerative disease. Here, we performed single-cell RNA sequencing on CSF from 45 cognitively normal subjects ranging from 54 to 82 years old. We uncovered an upregulation of lipid transport genes in monocytes with age. We then compared this cohort with 14 cognitively impaired subjects. In cognitively impaired subjects, downregulation of lipid transport genes in monocytes occurred concomitantly with altered cytokine signaling to CD8 T cells. Clonal CD8 T effector memory cells upregulated C-X-C motif chemokine receptor 6 (CXCR6) in cognitively impaired subjects. The CXCR6 ligand, C-X-C motif chemokine ligand 16 (CXCL16), was elevated in the CSF of cognitively impaired subjects, suggesting CXCL16-CXCR6 signaling as a mechanism for antigen-specific T cell entry into the brain. Cumulatively, these results reveal cerebrospinal fluid immune dysregulation during healthy brain aging and cognitive impairment.
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Affiliation(s)
- Natalie Piehl
- The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Lynn van Olst
- The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Abhirami Ramakrishnan
- The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Victoria Teregulova
- The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brooke Simonton
- The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Ziyang Zhang
- The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Emma Tapp
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Divya Channappa
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Hamilton Oh
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA; Paul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA; Graduate Program in Stem Cell and Regenerative Medicine, Stanford University, Stanford, CA, USA
| | - Patricia M Losada
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Jarod Rutledge
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA; Paul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA; Department of Genetics, Stanford University, Stanford, CA, USA
| | | | - Elizabeth C Mormino
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA; Department of Psychology, Stanford University, Stanford, CA, USA
| | - Fanny Elahi
- Departments of Neurology and Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, La Jolla, CA, USA
| | - Douglas R Galasko
- Department of Neurosciences, University of California at San Diego, La Jolla, CA, USA
| | - Victor W Henderson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Anthony D Wagner
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA; Department of Psychology, Stanford University, Stanford, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA; Paul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA; The Phil and Penny Initiative for Brain Resilience, Stanford University, Stanford, CA, USA; Chemistry, Engineering, and Medicine for Human Health (ChEM-H), Stanford University, Stanford, CA, USA
| | - David Gate
- The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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26
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Biologic Agents in Crohn's Patients Reduce CD4 + T Cells Activation and Are Inversely Related to Treg Cells. Can J Gastroenterol Hepatol 2022; 2022:1307159. [PMID: 35959163 PMCID: PMC9357708 DOI: 10.1155/2022/1307159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 07/07/2022] [Indexed: 11/26/2022] Open
Abstract
Crohn's disease (CD) is a chronic inflammatory disease with a complex interface of broad factors. There are two main treatments for Chron's disease: biological therapy and nonbiological therapy. Biological agent therapy (e.g., anti-TNF) is the most frequently prescribed treatment; however, it is not universally accessible. In fact, in Brazil, many patients are only given the option of receiving nonbiological therapy. This approach prolongs the subsequent clinical relapse; however, this procedure could be implicated in the immune response and enhance disease severity. Our purpose was to assess the effects of different treatments on CD4+ T cells in a cohort of patients with Crohn's disease compared with healthy individuals. To examine the immune status in a Brazilian cohort, we analyzed CD4+ T cells, activation status, cytokine production, and Treg cells in blood of Crohn's patients. Patients that underwent biological therapy can recover the percentage of CD4+CD73+ T cells, decrease the CD4+ T cell activation/effector functions, and maintain the peripheral percentage of regulatory T cells. These results show that anti-TNF agents can improve CD4+ T cell subsets, thereby inducing Crohn's patients to relapse and remission rates.
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27
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Díaz-Fernández S, Villar-Hernández R, Stojanovic Z, Fernández M, Galvão MLDS, Tolosa G, Sánchez-Montalva A, Abad J, Jiménez-Fuentes MÁ, Safont G, Romero I, Sabrià J, Prat C, Domínguez J, Latorre I. Study of CD27, CD38, HLA-DR and Ki-67 immune profiles for the characterization of active tuberculosis, latent infection and end of treatment. Front Microbiol 2022; 13:885312. [PMID: 35935194 PMCID: PMC9354672 DOI: 10.3389/fmicb.2022.885312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 06/28/2022] [Indexed: 11/22/2022] Open
Abstract
Background Current blood-based diagnostic tools for TB are insufficient to properly characterize the distinct stages of TB, from the latent infection (LTBI) to its active form (aTB); nor can they assess treatment efficacy. Several immune cell biomarkers have been proposed as potential candidates for the development of improved diagnostic tools. Objective To compare the capacity of CD27, HLA-DR, CD38 and Ki-67 markers to characterize LTBI, active TB and patients who ended treatment and resolved TB. Methods Blood was collected from 45 patients defined according to clinical and microbiological criteria as: LTBI, aTB with less than 1 month of treatment and aTB after completing treatment. Peripheral blood mononuclear cells were stimulated with ESAT-6/CFP-10 or PPD antigens and acquired for flow cytometry after labelling with conjugated antibodies against CD3, CD4, CD8, CD27, IFN-γ, TNF-α, CD38, HLA-DR, and Ki-67. Conventional and multiparametric analyses were done with FlowJo and OMIQ, respectively. Results The expression of CD27, CD38, HLA-DR and Ki-67 markers was analyzed in CD4+ T-cells producing IFN-γ and/or TNF-α cytokines after ESAT-6/CFP-10 or PPD stimulation. Within antigen-responsive CD4+ T-cells, CD27− and CD38+ (ESAT-6/CFP-10-specific), and HLA-DR+ and Ki-67+ (PPD- and ESAT-6/CFP-10-specific) populations were significantly increased in aTB compared to LTBI. Ki-67 demonstrated the best discriminative performance as evaluated by ROC analyses (AUC > 0.9 after PPD stimulation). Data also points to a significant change in the expression of CD38 (ESAT-6/CFP-10-specific) and Ki-67 (PPD- and ESAT-6/CFP-10-specific) after ending the anti-TB treatment regimen. Furthermore, ratio based on the CD27 median fluorescence intensity in CD4+ T-cells over Mtb-specific CD4+ T-cells showed a positive association with aTB over LTBI (ESAT-6/CFP-10-specific). Additionally, multiparametric FlowSOM analyses revealed an increase in CD27 cell clusters and a decrease in HLA-DR cell clusters within Mtb-specific populations after the end of treatment. Conclusion Our study independently confirms that CD27−, CD38+, HLA-DR+ and Ki-67+ populations on Mtb-specific CD4+ T-cells are increased during active TB disease. Multiparametric analyses unbiasedly identify clusters based on CD27 or HLA-DR whose abundance can be related to treatment efficacy. Further studies are necessary to pinpoint the convergence between conventional and multiparametric approaches.
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Affiliation(s)
- Sergio Díaz-Fernández
- Institut d’Investigació Germans Trias i Pujol, Barcelona, Spain
- CIBER Enfermedades Respiratorias, CIBERES, Instituto de Salud Carlos III, Madrid, Spain
- Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Raquel Villar-Hernández
- Institut d’Investigació Germans Trias i Pujol, Barcelona, Spain
- CIBER Enfermedades Respiratorias, CIBERES, Instituto de Salud Carlos III, Madrid, Spain
- Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Zoran Stojanovic
- CIBER Enfermedades Respiratorias, CIBERES, Instituto de Salud Carlos III, Madrid, Spain
- Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, Barcelona, Spain
- Servei de Pneumologia, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain
| | - Marco Fernández
- Plataforma de Citometría, Institut d’Investigació Germans Trias i Pujol, Barcelona, Spain
| | | | | | - Adrián Sánchez-Montalva
- Infectious Diseases Department, Vall d’Hebron University Hospital, PROSICS Barcelona, Universitat Autònoma de Barcelona, Barcelona, Spain
- Grupo de Estudio de micobacterias (GEIM), Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica (SEIMC), Madrid, Spain
| | - Jorge Abad
- CIBER Enfermedades Respiratorias, CIBERES, Instituto de Salud Carlos III, Madrid, Spain
- Servei de Pneumologia, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain
| | | | - Guillem Safont
- Institut d’Investigació Germans Trias i Pujol, Barcelona, Spain
- CIBER Enfermedades Respiratorias, CIBERES, Instituto de Salud Carlos III, Madrid, Spain
- Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Iris Romero
- Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Cristina Prat
- Institut d’Investigació Germans Trias i Pujol, Barcelona, Spain
- CIBER Enfermedades Respiratorias, CIBERES, Instituto de Salud Carlos III, Madrid, Spain
- Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, Barcelona, Spain
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Jose Domínguez
- Institut d’Investigació Germans Trias i Pujol, Barcelona, Spain
- CIBER Enfermedades Respiratorias, CIBERES, Instituto de Salud Carlos III, Madrid, Spain
- Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Irene Latorre
- Institut d’Investigació Germans Trias i Pujol, Barcelona, Spain
- CIBER Enfermedades Respiratorias, CIBERES, Instituto de Salud Carlos III, Madrid, Spain
- Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, Barcelona, Spain
- *Correspondence: Irene Latorre,
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28
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Yusoof KA, García JI, Schami A, Garcia-Vilanova A, Kelley HV, Wang SH, Rendon A, Restrepo BI, Yotebieng M, Torrelles JB. Tuberculosis Phenotypic and Genotypic Drug Susceptibility Testing and Immunodiagnostics: A Review. Front Immunol 2022; 13:870768. [PMID: 35874762 PMCID: PMC9301132 DOI: 10.3389/fimmu.2022.870768] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 06/06/2022] [Indexed: 12/24/2022] Open
Abstract
Tuberculosis (TB), considered an ancient disease, is still killing one person every 21 seconds. Diagnosis of Mycobacterium tuberculosis (M.tb) still has many challenges, especially in low and middle-income countries with high burden disease rates. Over the last two decades, the amount of drug-resistant (DR)-TB cases has been increasing, from mono-resistant (mainly for isoniazid or rifampicin resistance) to extremely drug resistant TB. DR-TB is problematic to diagnose and treat, and thus, needs more resources to manage it. Together with+ TB clinical symptoms, phenotypic and genotypic diagnosis of TB includes a series of tests that can be used on different specimens to determine if a person has TB, as well as if the M.tb strain+ causing the disease is drug susceptible or resistant. Here, we review and discuss advantages and disadvantages of phenotypic vs. genotypic drug susceptibility testing for DR-TB, advances in TB immunodiagnostics, and propose a call to improve deployable and low-cost TB diagnostic tests to control the DR-TB burden, especially in light of the increase of the global burden of bacterial antimicrobial resistance, and the potentially long term impact of the coronavirus disease 2019 (COVID-19) disruption on TB programs.
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Affiliation(s)
- Kizil A. Yusoof
- Graduate School of Biomedical Sciences, University of Texas Health San Antonio, San Antonio, TX, United States
| | - Juan Ignacio García
- Population Health Program, Tuberculosis Group, Texas Biomedical Research Institute, San Antonio, TX, United States
- *Correspondence: Juan Ignacio García, ; Blanca I. Restrepo, ; Marcel Yotebieng, ; Jordi B. Torrelles,
| | - Alyssa Schami
- Graduate School of Biomedical Sciences, University of Texas Health San Antonio, San Antonio, TX, United States
- Population Health Program, Tuberculosis Group, Texas Biomedical Research Institute, San Antonio, TX, United States
| | - Andreu Garcia-Vilanova
- Population Health Program, Tuberculosis Group, Texas Biomedical Research Institute, San Antonio, TX, United States
| | - Holden V. Kelley
- Population Health Program, Tuberculosis Group, Texas Biomedical Research Institute, San Antonio, TX, United States
| | - Shu-Hua Wang
- Department of Internal Medicine, Division of Infectious Diseases, College of Medicine and Global One Health Initiative, The Ohio State University, Columbus, OH, United States
| | - Adrian Rendon
- Centro de Investigación, Prevención y Tratamiento de Infecciones Respiratorias (CIPTIR), Hospital Universitario de Monterrey Universidad Autónoma de Nuevo León (UANL), Monterrey, Mexico
| | - Blanca I. Restrepo
- School of Public Health, University of Texas Health Science Center at Houston, Brownsville, TX, United States
- School of Medicine, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Edinburg, TX, United States
- *Correspondence: Juan Ignacio García, ; Blanca I. Restrepo, ; Marcel Yotebieng, ; Jordi B. Torrelles,
| | - Marcel Yotebieng
- Division of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine, New York City, NY, United States
- *Correspondence: Juan Ignacio García, ; Blanca I. Restrepo, ; Marcel Yotebieng, ; Jordi B. Torrelles,
| | - Jordi B. Torrelles
- Graduate School of Biomedical Sciences, University of Texas Health San Antonio, San Antonio, TX, United States
- Population Health Program, Tuberculosis Group, Texas Biomedical Research Institute, San Antonio, TX, United States
- *Correspondence: Juan Ignacio García, ; Blanca I. Restrepo, ; Marcel Yotebieng, ; Jordi B. Torrelles,
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van Unen V, Ouboter LF, Li N, Schreurs M, Abdelaal T, Kooy-Winkelaar Y, Beyrend G, Höllt T, Maljaars PWJ, Mearin ML, Mahfouz A, Witte AMC, Clemens CHM, Abraham S, Escher JC, Lelieveldt BPF, Pascutti MF, van der Meulen – de Jong AE, Koning F. Identification of a Disease-Associated Network of Intestinal Immune Cells in Treatment-Naive Inflammatory Bowel Disease. Front Immunol 2022; 13:893803. [PMID: 35812429 PMCID: PMC9260579 DOI: 10.3389/fimmu.2022.893803] [Citation(s) in RCA: 2] [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: 03/10/2022] [Accepted: 05/11/2022] [Indexed: 12/21/2022] Open
Abstract
Chronic intestinal inflammation underlies inflammatory bowel disease (IBD). Previous studies indicated alterations in the cellular immune system; however, it has been challenging to interrogate the role of all immune cell subsets simultaneously. Therefore, we aimed to identify immune cell types associated with inflammation in IBD using high-dimensional mass cytometry. We analyzed 188 intestinal biopsies and paired blood samples of newly-diagnosed, treatment-naive patients (n=42) and controls (n=26) in two independent cohorts. We applied mass cytometry (36-antibody panel) to resolve single cells and analyzed the data with unbiased Hierarchical-SNE. In addition, imaging-mass cytometry (IMC) was performed to reveal the spatial distribution of the immune subsets in the tissue. We identified 44 distinct immune subsets. Correlation network analysis identified a network of inflammation-associated subsets, including HLA-DR+CD38+ EM CD4+ T cells, T regulatory-like cells, PD1+ EM CD8+ T cells, neutrophils, CD27+ TCRγδ cells and NK cells. All disease-associated subsets were validated in a second cohort. This network was abundant in a subset of patients, independent of IBD subtype, severity or intestinal location. Putative disease-associated CD4+ T cells were detectable in blood. Finally, imaging-mass cytometry revealed the spatial colocalization of neutrophils, memory CD4+ T cells and myeloid cells in the inflamed intestine. Our study indicates that a cellular network of both innate and adaptive immune cells colocalizes in inflamed biopsies from a subset of patients. These results contribute to dissecting disease heterogeneity and may guide the development of targeted therapeutics in IBD.
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Affiliation(s)
- Vincent van Unen
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, United States
| | - Laura F. Ouboter
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Department of Gastroenterology, Leiden University Medical Center, Leiden, Netherlands
| | - Na Li
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Mette Schreurs
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Tamim Abdelaal
- Delft Bioinformatics Lab, Delft University of Technology, Delft, Netherlands
- Computer Graphics and Visualization, Delft University of Technology, Delft, Netherlands
| | | | - Guillaume Beyrend
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Thomas Höllt
- Computer Graphics and Visualization, Delft University of Technology, Delft, Netherlands
- Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
| | - P. W. Jeroen Maljaars
- Department of Gastroenterology, Leiden University Medical Center, Leiden, Netherlands
| | - M. Luisa Mearin
- Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
| | - Ahmed Mahfouz
- Delft Bioinformatics Lab, Delft University of Technology, Delft, Netherlands
- Computer Graphics and Visualization, Delft University of Technology, Delft, Netherlands
- Leiden Computational Biology Center, Leiden University Medical Center, Leiden, Netherlands
| | - Anne M. C. Witte
- Department of Gastroenterology, Alrijne Hospital, Leiden, Netherlands
| | | | - Sunje Abraham
- Department of Gastroenterology, Alrijne Hospital, Leiden, Netherlands
| | - Johanna C. Escher
- Department of Pediatric Gastroenterology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Boudewijn P. F. Lelieveldt
- Pattern Recognition and Bioinformatics Group, Delft University of Technology, Delft, Netherlands
- Department of The Division of Imaging Processing (LKEB) Radiology, Leiden University Medical Center, Leiden, Netherlands
| | | | | | - Frits Koning
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- *Correspondence: Frits Koning,
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30
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Yang CX, Tomchaney M, Landecho MF, Zamacona BR, Marin Oto M, Zulueta J, Malo J, Knoper S, Contoli M, Papi A, Vasilescu DM, Sauler M, Straub C, Tan C, Martinez FD, Bhattacharya D, Rosas IO, Kheradmand F, Hackett TL, Polverino F. Lung Spatial Profiling Reveals a T Cell Signature in COPD Patients with Fatal SARS-CoV-2 Infection. Cells 2022; 11:cells11121864. [PMID: 35740993 PMCID: PMC9220844 DOI: 10.3390/cells11121864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 06/01/2022] [Accepted: 06/03/2022] [Indexed: 02/01/2023] Open
Abstract
People with pre-existing lung diseases such as chronic obstructive pulmonary disease (COPD) are more likely to get very sick from SARS-CoV-2 disease 2019 (COVID-19). Still, an interrogation of the immune response to COVID-19 infection, spatially throughout the lung structure, is lacking in patients with COPD. For this study, we characterized the immune microenvironment of the lung parenchyma, airways, and vessels of never- and ever-smokers with or without COPD, all of whom died of COVID-19, using spatial transcriptomic and proteomic profiling. The parenchyma, airways, and vessels of COPD patients, compared to control lungs had (1) significant enrichment for lung-resident CD45RO+ memory CD4+ T cells; (2) downregulation of genes associated with T cell antigen priming and memory T cell differentiation; and (3) higher expression of proteins associated with SARS-CoV-2 entry and primary receptor ubiquitously across the ROIs and in particular the lung parenchyma, despite similar SARS-CoV-2 structural gene expression levels. In conclusion, the lung parenchyma, airways, and vessels of COPD patients have increased T-lymphocytes with a blunted memory CD4 T cell response and a more invasive SARS-CoV-2 infection pattern and may underlie the higher death toll observed with COVID-19.
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Affiliation(s)
- Chen Xi Yang
- Centre for Heart and Lung Innovation, St. Paul’s Hospital, Vancouver, BC V6T 1Z4, Canada; (C.X.Y.); (D.M.V.); (T.-L.H.)
- Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Michael Tomchaney
- Asthma and Airway Disease Research Center, College of Medicine, University of Arizona College of Medicine, Tucson, AZ 85719, USA; (M.T.); (F.D.M.)
| | - Manuel F. Landecho
- Department of Internal Medicine, Clinica Universidad de Navarra, 31008 Pamplona, Spain; (M.F.L.); (B.R.Z.); (M.M.O.)
| | - Borja R. Zamacona
- Department of Internal Medicine, Clinica Universidad de Navarra, 31008 Pamplona, Spain; (M.F.L.); (B.R.Z.); (M.M.O.)
| | - Marta Marin Oto
- Department of Internal Medicine, Clinica Universidad de Navarra, 31008 Pamplona, Spain; (M.F.L.); (B.R.Z.); (M.M.O.)
| | | | - Joshua Malo
- Department of Surgery, University of Arizona, Tucson, AZ 85719, USA; (J.M.); (S.K.)
| | - Steve Knoper
- Department of Surgery, University of Arizona, Tucson, AZ 85719, USA; (J.M.); (S.K.)
| | - Marco Contoli
- Pulmonary Division, University of Ferrara, 44121 Ferrara, Italy; (M.C.); (A.P.)
| | - Alberto Papi
- Pulmonary Division, University of Ferrara, 44121 Ferrara, Italy; (M.C.); (A.P.)
| | - Dragoş M. Vasilescu
- Centre for Heart and Lung Innovation, St. Paul’s Hospital, Vancouver, BC V6T 1Z4, Canada; (C.X.Y.); (D.M.V.); (T.-L.H.)
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Maor Sauler
- Department of Medicine, Yale University, New Haven, CT 06520, USA;
| | - Christof Straub
- Nanostring Technologies, Seattle, WA 98109, USA; (C.S.); (C.T.)
| | - Cheryl Tan
- Nanostring Technologies, Seattle, WA 98109, USA; (C.S.); (C.T.)
| | - Fernando D. Martinez
- Asthma and Airway Disease Research Center, College of Medicine, University of Arizona College of Medicine, Tucson, AZ 85719, USA; (M.T.); (F.D.M.)
| | | | - Ivan O. Rosas
- Department of Medicine and Center for Translational Research, Baylor College of Medicine, Houston, TX 77030, USA; (I.O.R.); (F.K.)
| | - Farrah Kheradmand
- Department of Medicine and Center for Translational Research, Baylor College of Medicine, Houston, TX 77030, USA; (I.O.R.); (F.K.)
| | - Tillie-Louise Hackett
- Centre for Heart and Lung Innovation, St. Paul’s Hospital, Vancouver, BC V6T 1Z4, Canada; (C.X.Y.); (D.M.V.); (T.-L.H.)
- Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Francesca Polverino
- Department of Medicine and Center for Translational Research, Baylor College of Medicine, Houston, TX 77030, USA; (I.O.R.); (F.K.)
- Correspondence:
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31
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Saigusa R, Roy P, Freuchet A, Gulati R, Ghosheh Y, Suthahar SSA, Durant CP, Hanna DB, Kiosses WB, Orecchioni M, Wen L, Wu R, Kuniholm MH, Landay AL, Anastos K, Tien PC, Gange SJ, Kassaye S, Vallejo J, Hedrick CC, Kwok WW, Sette A, Hodis HN, Kaplan RC, Ley K. Single cell transcriptomics and TCR reconstruction reveal CD4 T cell response to MHC-II-restricted APOB epitope in human cardiovascular disease. NATURE CARDIOVASCULAR RESEARCH 2022; 1:462-475. [PMID: 35990517 PMCID: PMC9383695 DOI: 10.1038/s44161-022-00063-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 04/04/2022] [Indexed: 02/02/2023]
Abstract
Atherosclerosis is accompanied by a CD4 T cell response to apolipoprotein B (APOB). Major Histocompatibility Complex (MHC)-II tetramers can be used to isolate antigen-specific CD4 T cells by flow sorting. Here, we produce, validate and use an MHC-II tetramer, DRB1*07:01 APOB-p18, to sort APOB-p18-specific cells from peripheral blood mononuclear cell samples from 8 DRB1*07:01+ women with and without subclinical cardiovascular disease (sCVD). Single cell RNA sequencing showed that transcriptomes of tetramer+ cells were between regulatory and memory T cells in healthy women and moved closer to memory T cells in women with sCVD. TCR sequencing of tetramer+ cells showed clonal expansion and V and J segment usage similar to those found in regulatory T cells. These findings suggest that APOB-specific regulatory T cells may switch to a more memory-like phenotype in women with atherosclerosis. Mouse studies showed that such switched cells promote atherosclerosis.
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Affiliation(s)
| | - Payel Roy
- La Jolla Institute for Immunology, La Jolla, CA, USA
| | | | - Rishab Gulati
- La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Yanal Ghosheh
- La Jolla Institute for Immunology, La Jolla, CA, USA
| | | | | | - David B. Hanna
- Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY, USA
| | | | | | - Lai Wen
- La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Runpei Wu
- La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Mark H. Kuniholm
- University at Albany, Department of Epidemiology and Biostatistics, Rensselaer, NY, USA
| | - Alan L. Landay
- Rush University Medical Center, Department of Internal Medicine, Chicago, IL, USA
| | - Kathryn Anastos
- Albert Einstein College of Medicine, Departments of Medicine and Epidemiology & Population Health, Bronx NY, USA
| | - Phyllis C. Tien
- Department of Medicine, University of California, San Francisco, San Francisco, CA; Department of Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Stephen J. Gange
- Johns Hopkins University, Bloomberg School of Public Health, Baltimore MD, USA
| | - Seble Kassaye
- Georgetown University, Georgetown University Medical Center, Washington, DC, USA
| | | | | | - William W. Kwok
- Benaroya Research Institute at Virginia Mason, Tetramer Core Laboratory, Seattle, WA, USA
| | | | - Howard N. Hodis
- Keck School of Medicine, University of Southern California Departments of Medicine and Population and Public Health Sciences, Los Angeles, CA, USA
- Atherosclerosis Research Unit, University of Southern California, Los Angeles, CA, USA
| | - Robert C. Kaplan
- Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY, USA
- Fred Hutchinson Cancer Research Center, Public Health Sciences Division, Seattle, WA, USA
| | - Klaus Ley
- La Jolla Institute for Immunology, La Jolla, CA, USA
- University of California San Diego, San Diego, CA, USA
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32
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Polak D, Bohle B. Neutrophils-typical atypical antigen presenting cells? Immunol Lett 2022; 247:52-58. [DOI: 10.1016/j.imlet.2022.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 04/28/2022] [Accepted: 04/28/2022] [Indexed: 11/05/2022]
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Seroma after Simple Mastectomy in Breast Cancer-The Role of CD4+ T Helper Cells and the Evidence as a Possible Specific Immune Process. Int J Mol Sci 2022; 23:ijms23094848. [PMID: 35563236 PMCID: PMC9101279 DOI: 10.3390/ijms23094848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/26/2022] [Accepted: 04/26/2022] [Indexed: 11/17/2022] Open
Abstract
Seroma development after breast cancer surgery is the most common postoperative complication seen after mastectomy but neither its origin nor its cellular composition is known. To investigate the assumption of immunological significance, one of the first aims of this pilot study is to describe the cellular content of collected seroma fluids and its corresponding serum in patients with simple mastectomy after needle aspiration, as well as the serum of healthy controls. The content of red blood cells (RBC) was measured by haemato-counter analyses, and the lymphocyte identification/quantification was conducted by flow cytometry analyses in seroma fluid (SFl) and the sera of patients (PBp) as well as controls (PBc). Significantly lower numbers of RBCs were measured in SFl. Cytotoxic T cells are significantly reduced in SFl, whereas T helper (Th) cells are significantly enriched compared to PBp. Significantly higher numbers of Th2 cells were found in SFl and PBp compared to PBc. The exact same pattern is seen when analyzing the Th17 subgroup. In conclusion, in contrast to healthy controls, significantly higher Th2 and Th17 cell subgroup-mediated immune responses were measured in seroma formations and were further confirmed in the peripheral blood of breast cancer (including DCIS) patients after simple mastectomy. This could lead to the assumption of a possible immunological cause for the origin of a seroma.
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