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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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Guo Y, Yu L, Guo L, Xu L, Li Q. A Regularized Bayesian Dirichlet-multinomial Regression Model for Integrating Single-cell-level Omics and Patient-level Clinical Study Data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.04.597391. [PMID: 38895417 PMCID: PMC11185671 DOI: 10.1101/2024.06.04.597391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
The abundance of various cell types can vary significantly among patients with varying phenotypes and even those with the same phenotype. Recent scientific advancements provide mounting evidence that other clinical variables, such as age, gender, and lifestyle habits, can also influence the abundance of certain cell types. However, current methods for integrating single-cell-level omics data with clinical variables are inadequate. In this study, we propose a regularized Bayesian Dirichlet-multinomial regression framework to investigate the relationship between single-cell RNA sequencing data and patient-level clinical data. Additionally, the model employs a novel hierarchical tree structure to identify such relationships at different cell-type levels. Our model successfully uncovers significant associations between specific cell types and clinical variables across three distinct diseases: pulmonary fibrosis, COVID-19, and non-small cell lung cancer. This integrative analysis provides biological insights and could potentially inform clinical interventions for various diseases.
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Chen ACY, Jaiswal S, Martinez D, Yerinde C, Ji K, Miranda V, Fung ME, Weiss SA, Zschummel M, Taguchi K, Garris CS, Mempel TR, Hacohen N, Sen DR. The aged tumor microenvironment limits T cell control of cancer. Nat Immunol 2024; 25:1033-1045. [PMID: 38745085 DOI: 10.1038/s41590-024-01828-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 03/27/2024] [Indexed: 05/16/2024]
Abstract
The etiology and effect of age-related immune dysfunction in cancer is not completely understood. Here we show that limited priming of CD8+ T cells in the aged tumor microenvironment (TME) outweighs cell-intrinsic defects in limiting tumor control. Increased tumor growth in aging is associated with reduced CD8+ T cell infiltration and function. Transfer of T cells from young mice does not restore tumor control in aged mice owing to rapid induction of T cell dysfunction. Cell-extrinsic signals in the aged TME drive a tumor-infiltrating age-associated dysfunctional (TTAD) cell state that is functionally, transcriptionally and epigenetically distinct from canonical T cell exhaustion. Altered natural killer cell-dendritic cell-CD8+ T cell cross-talk in aged tumors impairs T cell priming by conventional type 1 dendritic cells and promotes TTAD cell formation. Aged mice are thereby unable to benefit from therapeutic tumor vaccination. Critically, myeloid-targeted therapy to reinvigorate conventional type 1 dendritic cells can improve tumor control and restore CD8+ T cell immunity in aging.
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Affiliation(s)
- Alex C Y Chen
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Sneha Jaiswal
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Carnegie Mellon University, Pittsburgh, PA, USA
| | - Daniela Martinez
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Cansu Yerinde
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Keely Ji
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Velita Miranda
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
| | - Megan E Fung
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Sarah A Weiss
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Maria Zschummel
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Kazuhiro Taguchi
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Christopher S Garris
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Thorsten R Mempel
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Nir Hacohen
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Debattama R Sen
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA.
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4
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Kim Y, Kim G, Min G, Woo Y, Peck KR, Hong JJ, Kim SB. Age-related antibody response to Orthopoxviruses and implications for public health measures: Insights from a South Korean study. J Infect Public Health 2024; 17:956-960. [PMID: 38608456 DOI: 10.1016/j.jiph.2024.04.002] [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: 10/23/2023] [Revised: 03/27/2024] [Accepted: 04/03/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND After the eradication of smallpox, there have been no specific public health measures for any Orthopoxviruses (OPXVs). Therefore, it is necessary to countermeasure OPXV infections after Mpox (formerly monkeypox) occurrences, such as the latest global outbreak in 2022-2023. This study aimed to provide crucial insights for the development of effective public health policy making against mpox in populations residing in regions where the virus is not prevalent. METHODS This study used enzyme-linked immunosorbent assays (ELISA) to examine smallpox and mpox antibodies in Koreans with three different age groups. We analyzed 56 sera obtained from a tertiary care hospital in South Korea between September 2022 and April 2023. Plasma levels of antibodies against the viral proteins of smallpox (variola cytokine response-modifying protein B) and MPXV (A29) were measured using enzyme-linked immunosorbent assays. RESULTS Plasma samples from participants in their early 40 s and older exhibited higher reactivity to viral antigens than those from younger participants. Furthermore, there was a strong positive correlation in antibody positivity for the two different viruses across the sera. CONCLUSIONS The presence of low antibody levels in participants ˂40 years may hinder their ability to defend against OPXV. Therefore, it is imperative to implement effective public health measures to mitigate the transmission of OPXV within the community. These findings serve as fundamental information for devising strategies to combat mpox efficiently, particularly in regions where the virus is not prevalent.
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Affiliation(s)
- Yujin Kim
- National Primate Research Centre, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju, Chungcheongbuk, South Korea
| | - Green Kim
- National Primate Research Centre, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju, Chungcheongbuk, South Korea
| | - Gukhui Min
- National Primate Research Centre, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju, Chungcheongbuk, South Korea; KRIBB School of Bioscience, Korea University of Science & Technology (UST), Daejeon, South Korea
| | - YoungMin Woo
- National Primate Research Centre, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju, Chungcheongbuk, South Korea; KRIBB School of Bioscience, Korea University of Science & Technology (UST), Daejeon, South Korea
| | - Kyong Ran Peck
- Division of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jung Joo Hong
- National Primate Research Centre, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju, Chungcheongbuk, South Korea; KRIBB School of Bioscience, Korea University of Science & Technology (UST), Daejeon, South Korea.
| | - Sun Bean Kim
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Anam Hospital, Seoul, South Korea.
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Ma F, Cao Y, Du H, Braikia FZ, Zong L, Ollikainen N, Bayer M, Qiu X, Park B, Roy R, Nandi S, Sarantopoulou D, Ziman A, Bianchi AH, Beerman I, Zhao K, Grosschedl R, Sen R. Three-dimensional chromatin reorganization regulates B cell development during ageing. Nat Cell Biol 2024; 26:991-1002. [PMID: 38866970 PMCID: PMC11178499 DOI: 10.1038/s41556-024-01424-9] [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: 11/01/2022] [Accepted: 04/16/2024] [Indexed: 06/14/2024]
Abstract
The contribution of three-dimensional genome organization to physiological ageing is not well known. Here we show that large-scale chromatin reorganization distinguishes young and old bone marrow progenitor (pro-) B cells. These changes result in increased interactions at the compartment level and reduced interactions within topologically associated domains (TADs). The gene encoding Ebf1, a key B cell regulator, switches from compartment A to B with age. Genetically reducing Ebf1 recapitulates some features of old pro-B cells. TADs that are most reduced with age contain genes important for B cell development, including the immunoglobulin heavy chain (Igh) locus. Weaker intra-TAD interactions at Igh correlate with altered variable (V), diversity (D) and joining (J) gene recombination. Our observations implicate three-dimensional chromatin reorganization as a major driver of pro-B cell phenotypes that impair B lymphopoiesis with age.
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Affiliation(s)
- Fei Ma
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
| | - Yaqiang Cao
- Laboratory of Epigenome Biology, Systems Biology Center, National Heart, Lung and Blood Institute, Bethesda, MD, USA
| | - Hansen Du
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
| | - Fatima Zohra Braikia
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
| | - Le Zong
- Epigenetics and Stem Cell Init, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Noah Ollikainen
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
| | - Marc Bayer
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Xiang Qiu
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
| | - Bongsoo Park
- Epigenetics and Stem Cell Init, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Roshni Roy
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
| | - Satabdi Nandi
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
| | - Dimitra Sarantopoulou
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
| | | | - Aisha Haley Bianchi
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
| | - Isabel Beerman
- Epigenetics and Stem Cell Init, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Keji Zhao
- Laboratory of Epigenome Biology, Systems Biology Center, National Heart, Lung and Blood Institute, Bethesda, MD, USA
| | - Rudolf Grosschedl
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Ranjan Sen
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA.
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Kim HT, Ho VT, Nikiforow S, Cutler C, Koreth J, Shapiro RM, Gooptu M, Romee R, Wu CJ, Antin JH, Ritz J, Soiffer RJ. Comparison of Older Related versus Younger Unrelated Donors for Older Recipients of Allogeneic Hematopoietic Cell Transplantation with Acute Myeloid Leukemia or Myelodysplastic Syndrome: A Large Single-Center Analysis. Transplant Cell Ther 2024:S2666-6367(24)00375-0. [PMID: 38703824 DOI: 10.1016/j.jtct.2024.05.001] [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: 04/15/2024] [Accepted: 05/01/2024] [Indexed: 05/06/2024]
Abstract
For patients undergoing allogeneic hematopoietic cell transplantation (alloHCT), HLA-matched related donors (MRDs) have traditionally been the preferred donor source. However, as the age of recipients increases, their sibling donors are aging as well. In this study, we investigated whether younger matched unrelated donors (MUDs) might be a better donor source than similarly aged sibling donors for patients age >60 years with acute myeloid leukemia (AML) or myelodysplastic syndrome (MDS). A total of 499 patients age 60 to 70 years with AML or MDS who underwent alloHCT from an older MRD (donor age ≥50 years) or a younger MUD (donor age ≤35 years) between 2010 and 2022 were evaluated. Of these, 360 patients (72%) received an MUD graft and 139 (28%) received an MRD graft. The median recipient age was 64 years in the MRD group and 66 years in the MUD group. With a median follow-up among survivors of 53 months (range, 9 to 147 months ), the 4-year progression-free survival was 40% in the MRD group and 41% in the MUD group (P = .79) and the 4-year overall survival was 50% and 44%, respectively (P = .15), with no between-group differences in nonrelapse mortality, relapse, and acute or chronic graft-versus-host disease. In the MUD group, we also compared the effect of donor age 18 to 24 years and donor age 25 to 35 years and found no differences in outcomes between the groups. We conclude that outcomes are comparable between the use of older MRDs and use of younger MUDs for elderly patients with AML or MDS, that there is no donor age effect among younger MUDs, and that the use of either donor type is reasonable.
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Affiliation(s)
- Haesook T Kim
- Department of Data Science, Dana-Farber Cancer Institute, Harvard School of Public Health, Boston, Massachusetts.
| | - Vincent T Ho
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Sarah Nikiforow
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Corey Cutler
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - John Koreth
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Roman M Shapiro
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Mahasweta Gooptu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Rizwan Romee
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Catherine J Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Joseph H Antin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Jerome Ritz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Robert J Soiffer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
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DeConne TM, Fancher IS, Edwards DG, Trott DW, Martens CR. CD8 + T-cell metabolism is related to cerebrovascular reactivity in middle-aged adults. Am J Physiol Regul Integr Comp Physiol 2024; 326:R416-R426. [PMID: 38406845 DOI: 10.1152/ajpregu.00267.2023] [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: 11/30/2023] [Revised: 02/13/2024] [Accepted: 02/22/2024] [Indexed: 02/27/2024]
Abstract
Cerebrovascular reactivity (CVR) decreases with advancing age, contributing to increased risk of cognitive impairment; however, the mechanisms underlying the age-related decrease in CVR are incompletely understood. Age-related changes to T cells, such as impaired mitochondrial respiration, increased inflammation, likely contribute to peripheral and cerebrovascular dysfunction in animals. However, whether T-cell mitochondrial respiration is related to cerebrovascular function in humans is not known. Therefore, we hypothesized that peripheral T-cell mitochondrial respiration would be positively associated with CVR and that T-cell glycolytic metabolism would be negatively associated with CVR. Twenty middle-aged adults (58 ± 5 yr) were recruited for this study. T cells were separated from peripheral blood mononuclear cells. Cellular oxygen consumption rate (OCR) and extracellular acidification rate (ECAR, a marker of glycolytic activity) were measured using extracellular flux analysis. CVR was quantified using the breath-hold index (BHI), which reflects the change in blood velocity in the middle-cerebral artery (MCAv) during a 30-s breath-hold. In contrast to our hypothesis, we found that basal OCR in CD8+ T cells (β = -0.59, R2 = 0.27, P = 0.019) was negatively associated with BHI. However, in accordance with our hypothesis, we found that basal ECAR (β = -2.20, R2 = 0.29, P = 0.015) and maximum ECAR (β = -50, R2 = 0.24, P = 0.029) were negatively associated with BHI in CD8+ T cells. There were no associations observed in CD4+ T cells. These associations appeared to be primarily mediated by an association with the pressor response to the breath-hold test. Overall, our findings suggest that CD8+ T-cell respiration and glycolytic activity may influence CVR in humans.NEW & NOTEWORTHY Peripheral T-cell metabolism is related to in vivo cerebrovascular reactivity in humans. Higher glycolytic metabolism in CD8+ T cells was associated with lower cerebrovascular reactivity to a breath-hold in middle-aged adults, which is possibly reflective of a more proinflammatory state in midlife.
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Affiliation(s)
- Theodore M DeConne
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States
| | - Ibra S Fancher
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, Delaware, United States
| | - David G Edwards
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, Delaware, United States
| | - Daniel W Trott
- Department of Kinesiology, University of Texas at Arlington, Arlington, Texas, United States
| | - Christopher R Martens
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, Delaware, United States
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8
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Zhang Q, Liang XY, Wang ZS, Sun A, Cao TB, Zhang YP, Li N, Yi TY, Qu KP. Immune checkpoint inhibitor for different age patients with NSCLC in efficacy: A systematic review and meta-analysis. Asian J Surg 2024:S1015-9584(24)00572-4. [PMID: 38641539 DOI: 10.1016/j.asjsur.2024.03.145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 03/11/2024] [Accepted: 03/22/2024] [Indexed: 04/21/2024] Open
Abstract
OBJECTIVE This article is a Meta-analysis aiming to systematically evaluate the difference in efficacy of immune checkpoint inhibitor in patients with non-small cell lung cancer (NSCLC) by age. METHODS We performed a Meta-analysis of published randomized controlled trials concerning for patients with NSCLC by age. We compared overall survival among three groups (age <65 years, age 65-75 years, age ≥75 years). Hazard ratios (HRs) and 95% confidence intervals (CIs) were collected and pooled. RESULTS A total of 10,291 patients from 17 RCTs were included. In the group under age 65 years, immune checkpoint inhibitor can significantly prolong the overall survival of patients with NSCLC (HR = 0.73, 95% CI: 0.66∼0.81, P < 0.00001). In the age 65-75 years group, immune checkpoint inhibitors prolonged overall survival in patients with NSCLC (HR = 0.78, 95% CI:0.71∼0.84, P < 0.00001). However, it has no significant effect on the overall survival of NSCLC patients (HR = 0.88, 95% CI:0.72∼1.08, P > 0.05) in the group older than 75 years. CONCLUSIONS Immune checkpoint inhibitors prolonged the overall survival of NSCLC patients in the age <65 years group and the age 65-75 years group, but in the age ≥75 years group, there was no significant effect on overall survival. This may be related to innate immune and adaptive immune dysregulation due to "immunosenescence" in older patients.
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Affiliation(s)
- Qi Zhang
- Gansu Provincial Central Hospital, Lanzhou, China
| | | | | | - An Sun
- Gansu Provincial Central Hospital, Lanzhou, China
| | - Tin-Bao Cao
- Gansu Provincial Central Hospital, Lanzhou, China
| | | | - Nan Li
- Gansu Provincial Central Hospital, Lanzhou, China
| | - Tong-Ying Yi
- Gansu Provincial Central Hospital, Lanzhou, China
| | - Kun-Peng Qu
- Gansu Provincial Central Hospital, Lanzhou, China.
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9
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Müller L, Di Benedetto S. Aging brain: exploring the interplay between bone marrow aging, immunosenescence, and neuroinflammation. Front Immunol 2024; 15:1393324. [PMID: 38638424 PMCID: PMC11024322 DOI: 10.3389/fimmu.2024.1393324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 03/25/2024] [Indexed: 04/20/2024] Open
Abstract
Aging is a complex process characterized by a myriad of physiological changes, including alterations in the immune system termed immunosenescence. It exerts profound effects on both the bone marrow and the central nervous system, with significant implications for immunosenescence in neurological contexts. Our mini-review explores the complex relationship between bone marrow aging and its impact on immunosenescence, specifically within the context of neurological diseases. The bone marrow serves as a crucial hub for hematopoiesis and immune cell production, yet with age, it undergoes significant alterations, including alterations in hematopoietic stem cell function, niche composition, and inflammatory signaling. These age-related shifts in the bone marrow microenvironment contribute to dysregulation of immune cell homeostasis and function, impacting neuroinflammatory processes and neuronal health. In our review, we aim to explore the complex cellular and molecular mechanisms that link bone marrow aging to immunosenescence, inflammaging, and neuroinflammation, with a specific focus on their relevance to the pathophysiology of age-related neurological disorders. By exploring this interplay, we strive to provide a comprehensive understanding of how bone marrow aging impacts immune function and contributes to the progression of neurological diseases in aging individuals. Ultimately, this knowledge can hold substantial promise for the development of innovative therapeutic interventions aimed at preserving immune function and mitigating the progression of neurological disorders in the elderly population.
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Affiliation(s)
- Ludmila Müller
- Max Planck Institute for Human Development, Center for Lifespan Psychology, Berlin, Germany
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10
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Hughes K, Conaway E, Blackwell E, Rout E, Yoshimoto J, Burnett R, Avery A. Canine T zone lymphoma is a tumor of mature, previously activated αβ T cells. Vet Immunol Immunopathol 2024; 269:110725. [PMID: 38359755 DOI: 10.1016/j.vetimm.2024.110725] [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: 10/23/2023] [Revised: 01/20/2024] [Accepted: 01/24/2024] [Indexed: 02/17/2024]
Abstract
T cell lymphomas are a diverse group of tumors found in both dogs and humans, originating from various normal T cell types. Identifying the origin of neoplastic lymphocytes can offer valuable insights into the pathogenesis and clinical behavior of these tumors. T zone lymphoma (TZL) in dogs is characterized by the absence of CD45 expression, a strong breed predilection, and its association with adult-onset demodicosis-a condition believed to be linked to immunosuppression. In this study, our aim was to employ transcriptomic and functional data to determine the normal counterpart of TZL. Identifying the normal counterpart may help us understand both how these tumors arise and explain their clinical behavior. Gene expression profiling using NanoString and RNA seq was used to compare the transcriptome between neoplastic T zone cells, normal canine T cells and publicly available gene sets using Gene Set Enrichment Analysis. Mitogen, anti-CD3 stimulation and PMA/ionomycin stimulation were used to assess T cell proliferation in vitro, and intracellular cytokine production was measured by flow cytometry. Gene expression profiling revealed that TZL is most likely derived from an activated or memory alpha-beta T cell but the cells do not fall cleanly into an effector subtype. TZL cells express CD4-specific transcription factors GATA3 and THPOK, even though TZL cells more commonly express CD8, or neither CD4 nor CD8. TZL cells produce high levels of interferon gamma and tumor necrosis factor alpha when stimulated, further supporting the hypothesis that they are derived from an antigen experienced T cell. TZL cells do not proliferate when stimulated through the T cell receptor but will divide when the T cell receptor is bypassed with PMA and ionomycin. The observation that these cells are derived from a mature, previously activated T cell is the first step in understanding the genesis of this unique T cell tumor.
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Affiliation(s)
- Kelly Hughes
- Clinical Hematopathology Laboratory, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Science, Colorado State University, Fort Collins, CO 80523, United States
| | - Evan Conaway
- Clinical Hematopathology Laboratory, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Science, Colorado State University, Fort Collins, CO 80523, United States
| | - Emily Blackwell
- Clinical Hematopathology Laboratory, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Science, Colorado State University, Fort Collins, CO 80523, United States
| | - Emily Rout
- Clinical Hematopathology Laboratory, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Science, Colorado State University, Fort Collins, CO 80523, United States
| | - Janna Yoshimoto
- Clinical Hematopathology Laboratory, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Science, Colorado State University, Fort Collins, CO 80523, United States
| | - Robert Burnett
- Clinical Hematopathology Laboratory, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Science, Colorado State University, Fort Collins, CO 80523, United States
| | - Anne Avery
- Clinical Hematopathology Laboratory, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Science, Colorado State University, Fort Collins, CO 80523, United States.
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11
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Vlasschaert C, Lanktree MB, Rauh MJ, Kelly TN, Natarajan P. Clonal haematopoiesis, ageing and kidney disease. Nat Rev Nephrol 2024; 20:161-174. [PMID: 37884787 PMCID: PMC10922936 DOI: 10.1038/s41581-023-00778-x] [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] [Accepted: 09/29/2023] [Indexed: 10/28/2023]
Abstract
Clonal haematopoiesis of indeterminate potential (CHIP) is a preclinical condition wherein a sizeable proportion of an individual's circulating blood cells are derived from a single mutated haematopoietic stem cell. CHIP occurs frequently with ageing - more than 10% of individuals over 65 years of age are affected - and is associated with an increased risk of disease across several organ systems and premature death. Emerging evidence suggests that CHIP has a role in kidney health, including associations with predisposition to acute kidney injury, impaired recovery from acute kidney injury and kidney function decline, both in the general population and among those with chronic kidney disease. Beyond its direct effect on the kidney, CHIP elevates the susceptibility of individuals to various conditions that can detrimentally affect the kidneys, including cardiovascular disease, obesity and insulin resistance, liver disease, gout, osteoporosis and certain autoimmune diseases. Aberrant pro-inflammatory signalling, telomere attrition and epigenetic ageing are potential causal pathophysiological pathways and mediators that underlie CHIP-related disease risk. Experimental animal models have shown that inhibition of inflammatory cytokine signalling can ameliorate many of the pathological effects of CHIP, and assessment of the efficacy and safety of this class of medications for human CHIP-associated pathology is ongoing.
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Affiliation(s)
| | - Matthew B Lanktree
- Department of Medicine and Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Michael J Rauh
- Department of Pathology and Molecular Medicine, Kingston, Ontario, Canada
| | - Tanika N Kelly
- Division of Nephrology, Department of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Pradeep Natarajan
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
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12
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Türk L, Filippov I, Arnold C, Zaugg J, Tserel L, Kisand K, Peterson P. Cytotoxic CD8 + Temra cells show loss of chromatin accessibility at genes associated with T cell activation. Front Immunol 2024; 15:1285798. [PMID: 38370415 PMCID: PMC10870784 DOI: 10.3389/fimmu.2024.1285798] [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: 08/31/2023] [Accepted: 01/15/2024] [Indexed: 02/20/2024] Open
Abstract
As humans age, their memory T cell compartment expands due to the lifelong exposure to antigens. This expansion is characterized by terminally differentiated CD8+ T cells (Temra), which possess NK cell-like phenotype and are associated with chronic inflammatory conditions. Temra cells are predominantly driven by the sporadic reactivation of cytomegalovirus (CMV), yet their epigenomic patterns and cellular heterogeneity remain understudied. To address this gap, we correlated their gene expression profiles with chromatin openness and conducted single-cell transcriptome analysis, comparing them to other CD8+ subsets and CMV-responses. We confirmed that Temra cells exhibit high expression of genes associated with cytotoxicity and lower expression of costimulatory and chemokine genes. The data revealed that CMV-responsive CD8+ T cells (Tcmv) were predominantly derived from a mixed population of Temra and memory cells (Tcm/em) and shared their transcriptomic profiles. Using ATAC-seq analysis, we identified 1449 differentially accessible chromatin regions between CD8+ Temra and Tcm/em cells, of which only 127 sites gained chromatin accessibility in Temra cells. We further identified 51 gene loci, including costimulatory CD27, CD28, and ICOS genes, whose chromatin accessibility correlated with their gene expression. The differential chromatin regions Tcm/em cells were enriched in motifs that bind multiple transcriptional activators, such as Jun/Fos, NFkappaB, and STAT, whereas the open regions in Temra cells mainly contained binding sites of T-box transcription factors. Our single-cell analysis of CD8+CCR7loCD45RAhi sorted Temra population showed several subsets of Temra and NKT-like cells and CMC1+ Temra populations in older individuals that were shifted towards decreased cytotoxicity. Among CD8+CCR7loCD45RAhi sorted cells, we found a decreased proportion of IL7R+ Tcm/em-like and MAIT cells in individuals with high levels of CMV antibodies (CMVhi). These results shed new light on the molecular and cellular heterogeneity of CD8+ Temra cells and their relationship to aging and CMV infection.
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Affiliation(s)
- Lehte Türk
- Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Igor Filippov
- Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
- Qiagen Aarhus A/S, Aarhus, Denmark
| | - Christian Arnold
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany
| | - Judith Zaugg
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany
| | - Liina Tserel
- Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Kai Kisand
- Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Pärt Peterson
- Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
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13
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Müller L, Di Benedetto S. Immunosenescence and Cytomegalovirus: Exploring Their Connection in the Context of Aging, Health, and Disease. Int J Mol Sci 2024; 25:753. [PMID: 38255826 PMCID: PMC10815036 DOI: 10.3390/ijms25020753] [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: 11/18/2023] [Revised: 12/29/2023] [Accepted: 01/04/2024] [Indexed: 01/24/2024] Open
Abstract
Aging induces numerous physiological alterations, with immunosenescence emerging as a pivotal factor. This phenomenon has attracted both researchers and clinicians, prompting profound questions about its implications for health and disease. Among the contributing factors, one intriguing actor in this complex interplay is human cytomegalovirus (CMV), a member of the herpesvirus family. Latent CMV infection exerts a profound influence on the aging immune system, potentially contributing to age-related diseases. This review delves into the intricate relationship between immunosenescence and CMV, revealing how chronic viral infection impacts the aging immune landscape. We explore the mechanisms through which CMV can impact both the composition and functionality of immune cell populations and induce shifts in inflammatory profiles with aging. Moreover, we examine the potential role of CMV in pathologies such as cardiovascular diseases, cancer, neurodegenerative disorders, COVID-19, and Long COVID. This review underlines the importance of understanding the complex interplay between immunosenescence and CMV. It offers insights into the pathophysiology of aging and age-associated diseases, as well as COVID-19 outcomes among the elderly. By unraveling the connections between immunosenescence and CMV, we gain a deeper understanding of aging's remarkable journey and the profound role that viral infections play in transforming the human immune system.
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Affiliation(s)
- Ludmila Müller
- Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany
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14
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Fu X, Qin P, Li F, Zhu H, You H, Zhang Y, Xu B, Li T, Zhang F, Han L, Zhao L, Ma B, Wang Z, Gao Q. The inter-link of ageing, cancer and immunity: findings from real-world retrospective study. Immun Ageing 2023; 20:75. [PMID: 38102684 PMCID: PMC10722682 DOI: 10.1186/s12979-023-00399-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 11/25/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Although the concept of declined immune function associated with cancer has been accepted extensively, real-world clinical studies focusing on analysis of the peripheral blood immune changes underlying ageing, immunity and cancer are scarce. METHODS In this case-control study, we retrospectively analysed 1375 cancer patients and enrolled 275 age and gender matched healthy individuals. Flow cytometry was conducted to assess the immune changes. Further analysis was examined by SPSS 17.0 and GraphPad Prism 9 software. RESULTS Cancer patients showed obviously decreased CD3+ T, CD3+CD4+ Th, CD3+CD8+ CTL, CD19+ B, CD16+CD56+ NK cell counts and lower percentage of PD-1 (programmed cell death protein-1, PD-1) positive cells than healthy control (P < 0.0001). For cancer patients, the reference range of circulating percentage of PD-1+CD45+ cells, PD-1+CD3+ T cells, PD-1+CD3+CD4+ Th cells and PD-1+CD3+CD8+ CTL (Cytotoxic T Lymphocyte, CTL) were 11.2% (95% CI 10.8%-11.6%), 15.5% (95% CI 14.7%-16.0%), 15.4% (95% CI 14.9%-16.0%) and 14.5% (95% CI 14.0%-15.5%), respectively. Moreover, the reduction of CD3+ T, CD3+CD4+ Th, CD3+CD8+ CTL, CD19+ B cell counts accompanied with age and stage advancing (P < 0.05). CD16+CD56+ NK cells decreased with stage, but elevated in aged and male cancer patients (P < 0.05). Additionally, the percentage of PD-1 positive cells varied across cancer types, raised with age and stage. Head and neck, pancreatic, gynaecological and lung demonstrated a higher level of the percentage of PD-1 positive cells than melanoma, prostate, and breast cancer (P < 0.05). CONCLUSIONS This study provides the reference range of the percentage of PD-1 positive cells on peripheral blood, confirms the decreased immune cells and a series of immune changes accompanying with cancer, expands our real world evidence to better understand the interactions of ageing, cancer and immunity. Moreover, the circulating percentage of PD-1 positive cells shows similar tumor type distribution with tumor mutational burden (TMB), supports that it maybe a potential predictive biomarker for immune checkpoint inhibitor therapy.
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Affiliation(s)
- Xiaomin Fu
- Department of Immunotherapy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450003, China
| | - Peng Qin
- GMP Laboratory of Immunotherapy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450003, China
| | - Fanghui Li
- Department of Immunotherapy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450003, China
| | - Huifang Zhu
- GMP Laboratory of Immunotherapy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450003, China
| | - Hongqin You
- GMP Laboratory of Immunotherapy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450003, China
| | - Yong Zhang
- Department of Immunotherapy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450003, China
| | - Benling Xu
- GMP Laboratory of Immunotherapy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450003, China
| | - Tiepeng Li
- GMP Laboratory of Immunotherapy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450003, China
| | - Fang Zhang
- Department of Immunotherapy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450003, China
| | - Lu Han
- GMP Laboratory of Immunotherapy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450003, China
| | - Lingdi Zhao
- Department of Immunotherapy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450003, China
| | - Baozhen Ma
- Department of Immunotherapy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450003, China
| | - Zibing Wang
- Department of Immunotherapy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450003, China.
| | - Quanli Gao
- Department of Immunotherapy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450003, China.
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15
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Terekhova M, Swain A, Bohacova P, Aladyeva E, Arthur L, Laha A, Mogilenko DA, Burdess S, Sukhov V, Kleverov D, Echalar B, Tsurinov P, Chernyatchik R, Husarcikova K, Artyomov MN. Single-cell atlas of healthy human blood unveils age-related loss of NKG2C +GZMB -CD8 + memory T cells and accumulation of type 2 memory T cells. Immunity 2023; 56:2836-2854.e9. [PMID: 37963457 DOI: 10.1016/j.immuni.2023.10.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/11/2023] [Accepted: 10/19/2023] [Indexed: 11/16/2023]
Abstract
Extensive, large-scale single-cell profiling of healthy human blood at different ages is one of the critical pending tasks required to establish a framework for the systematic understanding of human aging. Here, using single-cell RNA/T cell receptor (TCR)/BCR-seq with protein feature barcoding, we profiled 317 samples from 166 healthy individuals aged 25-85 years old. From this, we generated a dataset from ∼2 million cells that described 55 subpopulations of blood immune cells. Twelve subpopulations changed with age, including the accumulation of GZMK+CD8+ T cells and HLA-DR+CD4+ T cells. In contrast to other T cell memory subsets, transcriptionally distinct NKG2C+GZMB-CD8+ T cells counterintuitively decreased with age. Furthermore, we found a concerted age-associated increase in type 2/interleukin (IL)4-expressing memory subpopulations across CD4+ and CD8+ T cell compartments (CCR4+CD8+ Tcm and Th2 CD4+ Tmem), suggesting a systematic functional shift in immune homeostasis with age. Our work provides novel insights into healthy human aging and a comprehensive annotated resource.
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Affiliation(s)
- Marina Terekhova
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Amanda Swain
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Pavla Bohacova
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Ekaterina Aladyeva
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Laura Arthur
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Anwesha Laha
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Denis A Mogilenko
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA; Department of Medicine, Department of Pathology, Microbiology, and Immunology, Vanderbilt Center for Immunobiology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Samantha Burdess
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Vladimir Sukhov
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA; Computer Technologies Laboratory, ITMO University, Saint Petersburg 197101, Russia
| | - Denis Kleverov
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA; Computer Technologies Laboratory, ITMO University, Saint Petersburg 197101, Russia
| | - Barbora Echalar
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Petr Tsurinov
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA; JetBrains Research, 8021 Paphos, Cyprus
| | - Roman Chernyatchik
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA; JetBrains Research, 80639 Munich, Germany
| | - Kamila Husarcikova
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Maxim N Artyomov
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA.
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16
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Masiá M, de la Rica A, Fernández-González M, García JA, Padilla S, García-Abellán J, Botella Á, Mascarell P, Gutiérrez F. Integrating SARS-CoV-2-specific interferon-γ release assay testing in the evaluation of patients hospitalized with COVID-19. Microbiol Spectr 2023; 11:e0241923. [PMID: 37855635 PMCID: PMC10715100 DOI: 10.1128/spectrum.02419-23] [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: 06/08/2023] [Accepted: 09/06/2023] [Indexed: 10/20/2023] Open
Abstract
IMPORTANCE The cellular immune response is essential in the protection against severe disease in patients with established SARS-CoV-2 infection. The novelty of this study lies in the evaluation of the overall performance of a standardized assay to measure cellular immune response, the SARS-CoV-2-specific interferon-γ release assay (IGRA), in hospitalized patients with severe COVID-19. The SARS-CoV-2 IGRA was shown to accurately classify patients based on disease severity and prognosis, and the study revealed that test performance was not affected by the SARS-CoV-2 variant or control tube results. We identified an assay cut-off point with a high negative predictive value against mortality. The SARS-CoV-2 IGRA in patients hospitalized for COVID-19 may be a useful tool to assess cellular immunity and adopt targeted therapeutic and preventive measures.
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Affiliation(s)
- Mar Masiá
- Infectious Diseases Unit, Hospital General Universitario de Elche, Alicant, Spain
- CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
- Clinical Medicine Department, Universidad Miguel Hernández, San Juan de Alicante, Spain
| | - Alba de la Rica
- Infectious Diseases Unit, Hospital General Universitario de Elche, Alicant, Spain
- Microbiology Service, Hospital General Universitario de Elche, Alicant, Spain
| | - Marta Fernández-González
- Infectious Diseases Unit, Hospital General Universitario de Elche, Alicant, Spain
- CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
| | - José Alberto García
- Infectious Diseases Unit, Hospital General Universitario de Elche, Alicant, Spain
- CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
| | - Sergio Padilla
- Infectious Diseases Unit, Hospital General Universitario de Elche, Alicant, Spain
- CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
- Clinical Medicine Department, Universidad Miguel Hernández, San Juan de Alicante, Spain
| | - Javier García-Abellán
- Infectious Diseases Unit, Hospital General Universitario de Elche, Alicant, Spain
- CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
- Clinical Medicine Department, Universidad Miguel Hernández, San Juan de Alicante, Spain
| | - Ángela Botella
- Infectious Diseases Unit, Hospital General Universitario de Elche, Alicant, Spain
| | - Paula Mascarell
- Infectious Diseases Unit, Hospital General Universitario de Elche, Alicant, Spain
| | - Félix Gutiérrez
- Infectious Diseases Unit, Hospital General Universitario de Elche, Alicant, Spain
- CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
- Clinical Medicine Department, Universidad Miguel Hernández, San Juan de Alicante, Spain
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17
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Luque Duque D, Gaevert JA, Thomas PG, López-García M, Lythe G, Molina-París C. Multi-variate model of T cell clonotype competition and homeostasis. Sci Rep 2023; 13:21995. [PMID: 38081863 PMCID: PMC10713556 DOI: 10.1038/s41598-023-46637-4] [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: 07/06/2022] [Accepted: 11/03/2023] [Indexed: 12/18/2023] Open
Abstract
Diversity of the naive T cell repertoire is maintained by competition for stimuli provided by self-peptides bound to major histocompatibility complexes (self-pMHCs). We extend an existing bi-variate competition model to a multi-variate model of the dynamics of multiple T cell clonotypes which share stimuli. In order to understand the late-time behaviour of the system, we analyse: (i) the dynamics until the extinction of the first clonotype, (ii) the time to the first extinction event, (iii) the probability of extinction of each clonotype, and (iv) the size of the surviving clonotypes when the first extinction event takes place. We also find the probability distribution of the number of cell divisions per clonotype before its extinction. The mean size of a new clonotype at quasi-steady state is an increasing function of the stimulus available to it, and a decreasing function of the fraction of stimuli it shares with other clonotypes. Thus, the probability of, and time to, extinction of a new clonotype entering the pool of T cell clonotypes is determined by the extent of competition for stimuli it experiences and by its initial number of cells.
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Affiliation(s)
- Daniel Luque Duque
- Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, LS2 9JT, UK
| | - Jessica A Gaevert
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
- St. Jude Graduate School of Biomedical Sciences, Memphis, TN, 38105, USA
| | - Paul G Thomas
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
- St. Jude Graduate School of Biomedical Sciences, Memphis, TN, 38105, USA
| | - Martín López-García
- Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, LS2 9JT, UK
| | - Grant Lythe
- Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, LS2 9JT, UK
| | - Carmen Molina-París
- Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, LS2 9JT, UK.
- T-6, Theoretical Biology and Biophysics, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
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18
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Wang L, Zhang X, Zhang H, Lu K, Li M, Li X, Ou Y, Zhao X, Wu X, Wu X, Liu J, Xing M, Liu H, Zhang Y, Tan Y, Li F, Deng X, Deng J, Zhang X, Li J, Zhao Y, Ding Q, Wang H, Wang X, Luo Y, Zhou B, Zhang H. Excessive apoptosis of Rip1-deficient T cells leads to premature aging. EMBO Rep 2023; 24:e57925. [PMID: 37965894 PMCID: PMC10702839 DOI: 10.15252/embr.202357925] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 10/29/2023] [Accepted: 11/02/2023] [Indexed: 11/16/2023] Open
Abstract
In mammals, the most remarkable T cell variations with aging are the shrinking of the naïve T cell pool and the enlargement of the memory T cell pool, which are partially caused by thymic involution. However, the mechanism underlying the relationship between T-cell changes and aging remains unclear. In this study, we find that T-cell-specific Rip1 KO mice show similar age-related T cell changes and exhibit signs of accelerated aging-like phenotypes, including inflammation, multiple age-related diseases, and a shorter lifespan. Mechanistically, Rip1-deficient T cells undergo excessive apoptosis and promote chronic inflammation. Consistent with this, blocking apoptosis by co-deletion of Fadd in Rip1-deficient T cells significantly rescues lymphopenia, the imbalance between naïve and memory T cells, and aging-like phenotypes, and prolongs life span in T-cell-specific Rip1 KO mice. These results suggest that the reduction and hyperactivation of T cells can have a significant impact on organismal health and lifespan, underscoring the importance of maintaining T cell homeostasis for healthy aging and prevention or treatment of age-related diseases.
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Affiliation(s)
- Lingxia Wang
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and HealthUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Xixi Zhang
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and HealthUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Haiwei Zhang
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and HealthUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Kaili Lu
- Department of NeurologyShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Ming Li
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and HealthUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Xiaoming Li
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and HealthUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Yangjing Ou
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and HealthUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Xiaoming Zhao
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and HealthUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Xiaoxia Wu
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and HealthUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Xuanhui Wu
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and HealthUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Jianling Liu
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and HealthUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Mingyan Xing
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and HealthUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Han Liu
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and HealthUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Yue Zhang
- Department of Anesthesiology, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yongchang Tan
- Department of Anesthesiology, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Fang Li
- Department of Anesthesiology, Shanghai First People's HospitalShanghai Jiaotong UniversityShanghaiChina
| | - Xiaoxue Deng
- CAS Key Laboratory of Molecular Virology and ImmunologyUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Jiangshan Deng
- Department of NeurologyShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xiaojie Zhang
- Department of NeurologyShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jinbao Li
- Department of Anesthesiology, Shanghai First People's HospitalShanghai Jiaotong UniversityShanghaiChina
| | - Yuwu Zhao
- Department of NeurologyShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and HealthUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Haikun Wang
- CAS Key Laboratory of Molecular Virology and ImmunologyUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Xiuzhe Wang
- Department of NeurologyShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yan Luo
- Department of Anesthesiology, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Ben Zhou
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and HealthUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
| | - Haibing Zhang
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and HealthUniversity of Chinese Academy of Sciences, Chinese Academy of SciencesShanghaiChina
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19
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Wu F, Simonetti FR. Learning from Persistent Viremia: Mechanisms and Implications for Clinical Care and HIV-1 Cure. Curr HIV/AIDS Rep 2023; 20:428-439. [PMID: 37955826 PMCID: PMC10719122 DOI: 10.1007/s11904-023-00674-w] [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] [Accepted: 10/11/2023] [Indexed: 11/14/2023]
Abstract
PURPOSE OF REVIEW In this review, we discuss what persistent viremia has taught us about the biology of the HIV-1 reservoir during antiretroviral therapy (ART). We will also discuss the implications of this phenomenon for HIV-1 cure research and its clinical management. RECENT FINDINGS While residual viremia (RV, 1-3 HIV-1 RNA copies/ml) can be detected in most of people on ART, some individuals experience non-suppressible viremia (NSV, > 20-50 copies/mL) despite optimal adherence. When issues of drug resistance and pharmacokinetics are ruled out, this persistent virus in plasma is the reflection of virus production from clonally expanded CD4+ T cells carrying proviruses. Recent work has shown that a fraction of the proviruses source of NSV are not infectious, due to defects in the 5'-Leader sequence. However, additional viruses and host determinants of NSV are not fully understood. The study of NSV is of prime importance because it represents a challenge for the clinical care of people on ART, and it sheds light on virus-host interactions that could advance HIV-1 remission research.
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Affiliation(s)
- Fengting Wu
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, MD, 21205, USA
| | - Francesco R Simonetti
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, MD, 21205, USA.
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20
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Brandt L, Angelino P, Martinez R, Cristinelli S, Ciuffi A. Sex and Age Impact CD4+ T Cell Susceptibility to HIV In Vitro through Cell Activation Dynamics. Cells 2023; 12:2689. [PMID: 38067117 PMCID: PMC10706042 DOI: 10.3390/cells12232689] [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: 10/13/2023] [Revised: 11/19/2023] [Accepted: 11/20/2023] [Indexed: 12/18/2023] Open
Abstract
Cellular composition and the responsiveness of the immune system evolve upon aging and are influenced by biological sex. CD4+ T cells from women living with HIV exhibit a decreased viral replication ex vivo compared to men's. We, thus, hypothesized that these findings could be recapitulated in vitro and infected primary CD4+ T cells with HIV-based vectors pseudotyped with VSV-G or HIV envelopes. We used cells isolated from twenty donors to interrogate the effect of sex and age on permissiveness over a six-day activation kinetics. Our data identified an increased permissiveness to HIV between 24 and 72 h post-stimulation. Sex- and age-based analyses at these time points showed an increased susceptibility to HIV of the cells isolated from males and from donors over 50 years of age, respectively. A parallel assessment of surface markers' expression revealed higher frequencies of activation marker CD69 and of immune checkpoint inhibitors (PD-1 and CTLA-4) in the cells from highly permissive donors. Furthermore, positive correlations were identified between the expression kinetics of CD69, PD-1 and CTLA-4 and HIV expression kinetics. The cell population heterogeneity was assessed using a single-cell RNA-Seq analysis and no cell subtype enrichment was identified according to sex. Finally, transcriptomic analyses further highlighted the role of activation in those differences with enriched activation and cell cycle gene sets in male and older female cells. Altogether, this study brought further evidence about the individual features affecting HIV replication at the cellular level and should be considered in latency reactivation studies for an HIV cure.
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Affiliation(s)
- Ludivine Brandt
- Institute of Microbiology, Lausanne University Hospital and University of Lausanne, 1010 Lausanne, Switzerland; (L.B.)
| | - Paolo Angelino
- Institute of Microbiology, Lausanne University Hospital and University of Lausanne, 1010 Lausanne, Switzerland; (L.B.)
- Translational Data Science (TDS)-Facility, AGORA Cancer Research Center, Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Raquel Martinez
- Institute of Microbiology, Lausanne University Hospital and University of Lausanne, 1010 Lausanne, Switzerland; (L.B.)
| | - Sara Cristinelli
- Institute of Microbiology, Lausanne University Hospital and University of Lausanne, 1010 Lausanne, Switzerland; (L.B.)
| | - Angela Ciuffi
- Institute of Microbiology, Lausanne University Hospital and University of Lausanne, 1010 Lausanne, Switzerland; (L.B.)
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21
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de Boer RJ, Tesselaar K, Borghans JAM. Better safe than sorry: Naive T-cell dynamics in healthy ageing. Semin Immunol 2023; 70:101839. [PMID: 37716048 DOI: 10.1016/j.smim.2023.101839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 09/01/2023] [Accepted: 09/02/2023] [Indexed: 09/18/2023]
Abstract
It is well-known that the functioning of the immune system gradually deteriorates with age, and we are increasingly confronted with its consequences as the life expectancy of the human population increases. Changes in the T-cell pool are among the most prominent features of the changing immune system during healthy ageing, and changes in the naive T-cell pool in particular are generally held responsible for its gradual deterioration. These changes in the naive T-cell pool are thought to be due to involution of the thymus. It is commonly believed that the gradual loss of thymic output induces compensatory mechanisms to maintain the number of naive T cells at a relatively constant level, and induces a loss of diversity in the T-cell repertoire. Here we review the studies that support or challenge this widely-held view of immune ageing and discuss the implications for vaccination strategies.
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Affiliation(s)
- Rob J de Boer
- Theoretical Biology and Bioinformatics, Utrecht University, Utrecht, the Netherlands
| | - Kiki Tesselaar
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - José A M Borghans
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, the Netherlands.
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22
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Bouzianas D, Bouziana S. A decade of CD4+ chimeric antigen receptor T-cell evolution in two chronic lymphocytic leukemia patients: were chronic lymphocytic leukemia cells present? EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2023; 4:1128-1135. [PMID: 37970204 PMCID: PMC10645517 DOI: 10.37349/etat.2023.00186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 09/22/2023] [Indexed: 11/17/2023] Open
Abstract
On Feb 2, 2022, Nature published the paper titled "Decade-long leukemia remissions with the persistence of CD4+ CAR T-cells" (Nature. 2022;602:503-9. doi: 10.1038/s41586-021-04390-6). According to the results presented, it could be argued that "chimeric antigen receptor (CAR) T-cells can actually cure patients with chronic lymphocytic leukemia (CLL)". CAR T-cells remained detectable more than ten years after infusion, and immunoglobulin heavy chain (IGH) rearrangement deep sequencing showed persistent deep molecular remission for both patients (no CLL clonotypes were detectable six months after CAR T-cell infusion and onwards). However, the existing actual disease status of both patients remained unclear, as it was unknown: (1) if CAR T-cells killed all leukemia cells during the initial anti-leukemic response phase, that is, soon after CAR T-cell infusion into both patients; (2) if few CLL cells survived, but persistent CAR T-cells had been able to destroy any leukemia cells before they reach detectable levels. In the first case, both patients could be considered definitely cured; in the second not and their decade-prolonged deep remission could be a consequence of the cytotoxic activity of the functionally active CD4+ CAR T-cells. The first version appears to be stronger and the supporting arguments have been included in a comprehensive commentary article. A new therapeutic intervention may emerge with the potential to fully improve the quality of life of both patients and in addition, ongoing research into CAR T-cells may turn in a new, more effective direction.
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Affiliation(s)
- Dimitrios Bouzianas
- Independent Researcher, BReMeL, Biopharmaceutical and Regenerative Medicine Laboratories, PC555 34 Thessaloniki, Greece
| | - Stella Bouziana
- Department of Hematology, King’s College Hospital, SE59RS London, UK
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23
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Müller L, Di Benedetto S. From aging to long COVID: exploring the convergence of immunosenescence, inflammaging, and autoimmunity. Front Immunol 2023; 14:1298004. [PMID: 37942323 PMCID: PMC10628127 DOI: 10.3389/fimmu.2023.1298004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 10/12/2023] [Indexed: 11/10/2023] Open
Abstract
The process of aging is accompanied by a dynamic restructuring of the immune response, a phenomenon known as immunosenescence. This mini-review navigates through the complex landscape of age-associated immune changes, chronic inflammation, age-related autoimmune tendencies, and their potential links with immunopathology of Long COVID. Immunosenescence serves as an introductory departure point, elucidating alterations in immune cell profiles and their functional dynamics, changes in T-cell receptor signaling, cytokine network dysregulation, and compromised regulatory T-cell function. Subsequent scrutiny of chronic inflammation, or "inflammaging," highlights its roles in age-related autoimmune susceptibilities and its potential as a mediator of the immune perturbations observed in Long COVID patients. The introduction of epigenetic facets further amplifies the potential interconnections. In this compact review, we consider the dynamic interactions between immunosenescence, inflammation, and autoimmunity. We aim to explore the multifaceted relationships that link these processes and shed light on the underlying mechanisms that drive their interconnectedness. With a focus on understanding the immunological changes in the context of aging, we seek to provide insights into how immunosenescence and inflammation contribute to the emergence and progression of autoimmune disorders in the elderly and may serve as potential mediator for Long COVID disturbances.
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Affiliation(s)
- Ludmila Müller
- Max Planck Institute for Human Development, Center for Lifespan Psychology, Berlin, Germany
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24
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Angarola BL, Sharma S, Katiyar N, Gu Kang H, Nehar-Belaid D, Park S, Gott R, Eryilmaz GN, LaBarge MA, Palucka K, Chuang JH, Korstanje R, Ucar D, Anczukow O. Comprehensive single cell aging atlas of mammary tissues reveals shared epigenomic and transcriptomic signatures of aging and cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.20.563147. [PMID: 37961129 PMCID: PMC10634680 DOI: 10.1101/2023.10.20.563147] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Aging is the greatest risk factor for breast cancer; however, how age-related cellular and molecular events impact cancer initiation is unknown. We investigate how aging rewires transcriptomic and epigenomic programs of mouse mammary glands at single cell resolution, yielding a comprehensive resource for aging and cancer biology. Aged epithelial cells exhibit epigenetic and transcriptional changes in metabolic, pro-inflammatory, or cancer-associated genes. Aged stromal cells downregulate fibroblast marker genes and upregulate markers of senescence and cancer-associated fibroblasts. Among immune cells, distinct T cell subsets (Gzmk+, memory CD4+, γδ) and M2-like macrophages expand with age. Spatial transcriptomics reveal co-localization of aged immune and epithelial cells in situ. Lastly, transcriptional signatures of aging mammary cells are found in human breast tumors, suggesting mechanistic links between aging and cancer. Together, these data uncover that epithelial, immune, and stromal cells shift in proportions and cell identity, potentially impacting cell plasticity, aged microenvironment, and neoplasia risk.
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Affiliation(s)
| | | | - Neerja Katiyar
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Hyeon Gu Kang
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | - SungHee Park
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | - Giray N Eryilmaz
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Mark A LaBarge
- Beckman Research Institute at City of Hope, Duarte, CA, USA
| | - Karolina Palucka
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Jeffrey H Chuang
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | - Duygu Ucar
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- Department of Genetics and Genome Sciences, UConn Health, Farmington, CT, USA
- Institute for Systems Genomics, UConn Health, Farmington, CT, USA
| | - Olga Anczukow
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- Department of Genetics and Genome Sciences, UConn Health, Farmington, CT, USA
- Institute for Systems Genomics, UConn Health, Farmington, CT, USA
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25
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Dou L, Peng Y, Zhang B, Yang H, Zheng K. Immune Remodeling during Aging and the Clinical Significance of Immunonutrition in Healthy Aging. Aging Dis 2023:AD.2023.0923. [PMID: 37815906 DOI: 10.14336/ad.2023.0923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 09/23/2023] [Indexed: 10/12/2023] Open
Abstract
Aging is associated with changes in the immune system and the gut microbiota. Immunosenescence may lead to a low-grade, sterile chronic inflammation in a multifactorial and dynamic way, which plays a critical role in most age-related diseases. Age-related changes in the gut microbiota also shape the immune and inflammatory responses. Nutrition is a determinant of immune function and of the gut microbiota. Immunonutrion has been regarded as a new strategy for disease prevention and management, including many age-related diseases. However, the understanding of the cause-effect relationship is required to be more certain about the role of immunonutrition in supporting the immune homeostasis and its clinical relevance in elderly individuals. Herein, we review the remarkable quantitative and qualitative changes during aging that contribute to immunosenescence, inflammaging and microbial dysbiosis, and the effects on late-life health conditions. Furthermore, we discuss the clinical significance of immunonutrition in the treatment of age-related diseases by systematically reviewing its modulation of the immune system and the gut microbiota to clarify the effect of immunonutrition-based interventions on the healthy aging.
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Affiliation(s)
- Lei Dou
- Department of Geriatrics, Tongji Hospital, Tongji Medical college, Huazhong University of Science and Technology, Wuhan 430030, China
- Department of Surgery, Tongji Hospital, Tongji Medical college, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yang Peng
- Department of Geriatrics, Tongji Hospital, Tongji Medical college, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Bin Zhang
- Department of Surgery, Tongji Hospital, Tongji Medical college, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Huiyuan Yang
- Department of Surgery, Tongji Hospital, Tongji Medical college, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Kai Zheng
- Department of Geriatrics, Tongji Hospital, Tongji Medical college, Huazhong University of Science and Technology, Wuhan 430030, China
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26
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Zheng Y, Liu Q, Goronzy JJ, Weyand CM. Immune aging - A mechanism in autoimmune disease. Semin Immunol 2023; 69:101814. [PMID: 37542986 PMCID: PMC10663095 DOI: 10.1016/j.smim.2023.101814] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 07/20/2023] [Indexed: 08/07/2023]
Abstract
Evidence is emerging that the process of immune aging is a mechanism leading to autoimmunity. Over lifetime, the immune system adapts to profound changes in hematopoiesis and lymphogenesis, and progressively restructures in face of an ever-expanding exposome. Older adults fail to generate adequate immune responses against microbial infections and tumors, but accumulate aged T cells, B cells and myeloid cells. Age-associated B cells are highly efficient in autoantibody production. T-cell aging promotes the accrual of end-differentiated effector T cells with potent cytotoxic and pro-inflammatory abilities and myeloid cell aging supports a low grade, sterile and chronic inflammatory state (inflammaging). In pre-disposed individuals, immune aging can lead to frank autoimmune disease, manifesting with chronic inflammation and irreversible tissue damage. Emerging data support the concept that autoimmunity results from aging-induced failure of fundamental cellular processes in immune effector cells: genomic instability, loss of mitochondrial fitness, failing proteostasis, dwindling lysosomal degradation and inefficient autophagy. Here, we have reviewed the evidence that malfunctional mitochondria, disabled lysosomes and stressed endoplasmic reticula induce pathogenic T cells and macrophages that drive two autoimmune diseases, rheumatoid arthritis (RA) and giant cell arteritis (GCA). Recognizing immune aging as a risk factor for autoimmunity will open new avenues of immunomodulatory therapy, including the repair of malfunctioning mitochondria and lysosomes.
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Affiliation(s)
- Yanyan Zheng
- Department of Medicine, Mayo Clinic Alix School of Medicine, Rochester, MN 55905, USA; Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA; Department of Cardiovascular Medicine, Mayo Clinic Alix School of Medicine, Rochester, MN, USA
| | - Qingxiang Liu
- Department of Medicine, Mayo Clinic Alix School of Medicine, Rochester, MN 55905, USA
| | - Jorg J Goronzy
- Department of Medicine, Mayo Clinic Alix School of Medicine, Rochester, MN 55905, USA; Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA; Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Cornelia M Weyand
- Department of Medicine, Mayo Clinic Alix School of Medicine, Rochester, MN 55905, USA; Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA; Department of Cardiovascular Medicine, Mayo Clinic Alix School of Medicine, Rochester, MN, USA; Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
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27
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Hu C, Wu H, Zhu Q, Cao N, Wang H. Cholesterol metabolism in T-cell aging: Accomplices or victims. FASEB J 2023; 37:e23136. [PMID: 37584624 DOI: 10.1096/fj.202300515r] [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: 03/18/2023] [Revised: 07/12/2023] [Accepted: 07/31/2023] [Indexed: 08/17/2023]
Abstract
Aging has a significant impact on the function and metabolism of T cells. Cholesterol, the most important sterol in mammals, is known as the "gold of the body" because it maintains membrane fluidity, rigidity, and signal transduction while also serving as a precursor of oxysterols, bile acids, and steroid hormones. Cholesterol homeostasis is primarily controlled by uptake, biosynthesis, efflux, and regulatory mechanisms. Previous studies have suggested that there are reciprocal interactions between cholesterol metabolism and T lymphocytes. Here, we will summarize the most recent advances in the effects of cholesterol and its derivatives on T-cell aging. We will furthermore discuss interventions that might be used to help older individuals with immune deficiencies or diminishing immune competence.
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Affiliation(s)
- Cexun Hu
- Department of Clinical Genetics, Yueyang Maternal and Child Health-Care Hospital, Yueyang, P.R. China
- Department of Immunology, Key Laboratory of Medical Science and Laboratory Medicine of Jiangsu Province, School of Medicine, Jiangsu University, Zhenjiang, P.R. China
| | - Hongliang Wu
- Department of Clinical Genetics, Yueyang Maternal and Child Health-Care Hospital, Yueyang, P.R. China
| | - Qun Zhu
- Department of Clinical Genetics, Yueyang Maternal and Child Health-Care Hospital, Yueyang, P.R. China
| | - Na Cao
- Department of Hematology, Yueyang People's Hospital, Yueyang, P. R. China
- Yueyang Hospital Affiliated to Hunan Normal University, Yueyang, P.R. China
| | - Hui Wang
- Department of Immunology, Key Laboratory of Medical Science and Laboratory Medicine of Jiangsu Province, School of Medicine, Jiangsu University, Zhenjiang, P.R. China
- Department of Immunology, School of Medicine, Jiangsu University, Zhenjiang, P.R. China
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28
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Okuyama H, Weyand CM, Goronzy JJ. Generation and durability of immune memory in older adults. J Allergy Clin Immunol 2023; 152:601-603. [PMID: 37119870 PMCID: PMC10663087 DOI: 10.1016/j.jaci.2023.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 04/17/2023] [Accepted: 04/20/2023] [Indexed: 05/01/2023]
Affiliation(s)
| | - Cornelia M Weyand
- Department of Immunology, Mayo Clinic, Rochester, Minn; Department of Medicine, Division of Rheumatology, Mayo Clinic, Rochester, Minn
| | - Jörg J Goronzy
- Department of Immunology, Mayo Clinic, Rochester, Minn; Department of Medicine, Division of Rheumatology, Mayo Clinic, Rochester, Minn.
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29
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Yamauchi A, Yoshimoto S, Kudo A, Takagi S. Negative Influence of Aging on Differentiation and Proliferation of CD8 + T-Cells in Dogs. Vet Sci 2023; 10:541. [PMID: 37756063 PMCID: PMC10534501 DOI: 10.3390/vetsci10090541] [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: 06/06/2023] [Revised: 07/24/2023] [Accepted: 08/22/2023] [Indexed: 09/28/2023] Open
Abstract
Immunosenescence is an age-related change in the immune system characterized by a reduction in naïve T-cells and an impaired proliferative capacity of CD8+ T-cells in older individuals. Recent research revealed the crucial impact of immunosenescence on the development and control of cancer, and aging is one of the causes that diminish the therapeutic efficacy of cancer immunotherapies targeting CD8+ T-cell activation. Despite dog cancer being defined as an age-related disease, there are few fundamental understandings regarding the relationship between aging and the canine immune system. Therefore, we aimed to elucidate the characteristics of immunosenescence in dogs and analyzed the effects of aging on the differentiation status and proliferation of canine CD8+ T cells using T-cell specific stimulation with anti-canine CD3/CD28 antibody-coated beads and interleukin-2. As a result, we found that older dogs have a lower proliferative capacity of CD8+ T-cells and a reduction in the naïve subset in their peripheral blood. Further analysis showed that older dogs had attenuated proliferation of the effector and central memory subsets. These results indicate the importance of maintaining less differentiated subsets to expand CD8+ T-cells in dogs and provide helpful insight into the development of dog immune therapies that require T-cell expansion ex vivo.
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Affiliation(s)
- Akinori Yamauchi
- Laboratory of Small Animal Surgery, Department of Veterinary Medicine, School of Veterinary Medicine, Azabu University, 1-17-71 Fuchinobe, Chuo-ku, Sagamihara 252-5201, Kanagawa, Japan
| | - Sho Yoshimoto
- Laboratory of Small Animal Surgery, Department of Veterinary Medicine, School of Veterinary Medicine, Azabu University, 1-17-71 Fuchinobe, Chuo-ku, Sagamihara 252-5201, Kanagawa, Japan
- Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ayano Kudo
- Laboratory of Small Animal Surgery, Department of Veterinary Medicine, School of Veterinary Medicine, Azabu University, 1-17-71 Fuchinobe, Chuo-ku, Sagamihara 252-5201, Kanagawa, Japan
| | - Satoshi Takagi
- Laboratory of Small Animal Surgery, Department of Veterinary Medicine, School of Veterinary Medicine, Azabu University, 1-17-71 Fuchinobe, Chuo-ku, Sagamihara 252-5201, Kanagawa, Japan
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30
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Bröde P, Claus M, Gajewski PD, Getzmann S, Wascher E, Watzl C. From Immunosenescence to Aging Types-Establishing Reference Intervals for Immune Age Biomarkers by Centile Estimation. Int J Mol Sci 2023; 24:13186. [PMID: 37685992 PMCID: PMC10487963 DOI: 10.3390/ijms241713186] [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: 08/02/2023] [Revised: 08/18/2023] [Accepted: 08/22/2023] [Indexed: 09/10/2023] Open
Abstract
Immunological aging type definition requires establishing reference intervals from the distribution of immunosenescence biomarkers conditional on age. For 1605 individuals (18-97 years), we determined the comprehensive immune age index IMMAX from flow-cytometry-based blood cell sub-populations and identified age-specific centiles by fitting generalized additive models for location, scale, and shape. The centiles were uncorrelated with age and facilitated the categorization of individuals as immunologically slow or fast aging types. Using its 50th percentile as a reference, we rescaled the IMMAX to equivalent years of life (EYOL) and computed the immunological age gap as the difference between EYOL and chronological age. Applied to preliminary baseline and follow-up measurements from 53 participants of the Dortmund Vital Study (Clinical-Trials.gov Identifier: NCT05155397), the averaged changes in the IMMAX and EYOL conformed to the 5-year follow-up period, whereas no significant changes occurred concerning IMMAX centiles and age gap. This suggested that the participants immunologically adapted to aging and kept their relative positions within the cohort. Sex was non-significant. Methodical comparisons indicated that future confirmatory analyses with the completed follow-up examinations could rely on percentile curves estimated by simple linear quantile regression, while the selection of the immunosenescence biomarker will greatly influence the outcome, with IMMAX representing the preferable choice.
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Affiliation(s)
- Peter Bröde
- Leibniz Research Centre for Working Environment and Human Factors (IfADo), Ardeystraße 67, 44139 Dortmund, Germany; (M.C.); (P.D.G.); (S.G.); (E.W.); (C.W.)
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31
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Magatti M, Pischiutta F, Ortolano F, Pasotti A, Caruso E, Cargnoni A, Papait A, Capuzzi F, Zoerle T, Carbonara M, Stocchetti N, Borsa S, Locatelli M, Erba E, Prati D, Silini AR, Zanier ER, Parolini O. Systemic immune response in young and elderly patients after traumatic brain injury. Immun Ageing 2023; 20:41. [PMID: 37573338 PMCID: PMC10422735 DOI: 10.1186/s12979-023-00369-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/07/2023] [Indexed: 08/14/2023]
Abstract
BACKGROUND Traumatic brain injury (TBI) is a leading cause of death and long-term disability worldwide. In addition to primary brain damage, systemic immune alterations occur, with evidence for dysregulated immune responses in aggravating TBI outcome and complications. However, immune dysfunction following TBI has been only partially understood, especially in the elderly who represent a substantial proportion of TBI patients and worst outcome. Therefore, we aimed to conduct an in-depth immunological characterization of TBI patients, by evaluating both adaptive (T and B lymphocytes) and innate (NK and monocytes) immune cells of peripheral blood mononuclear cells (PBMC) collected acutely (< 48 h) after TBI in young (18-45 yo) and elderly (> 65 yo) patients, compared to age-matched controls, and also the levels of inflammatory biomarkers. RESULTS Our data show that young respond differently than elderly to TBI, highlighting the immune unfavourable status of elderly compared to young patients. While in young only CD4 T lymphocytes are activated by TBI, in elderly both CD4 and CD8 T cells are affected, and are induced to differentiate into subtypes with low cytotoxic activity, such as central memory CD4 T cells and memory precursor effector CD8 T cells. Moreover, TBI enhances the frequency of subsets that have not been previously investigated in TBI, namely the double negative CD27- IgD- and CD38-CD24- B lymphocytes, and CD56dim CD16- NK cells, both in young and elderly patients. TBI reduces the production of pro-inflammatory cytokines TNF-α and IL-6, and the expression of HLA-DM, HLA-DR, CD86/B7-2 in monocytes, suggesting a compromised ability to drive a pro-inflammatory response and to efficiently act as antigen presenting cells. CONCLUSIONS We described the acute immunological response induced by TBI and its relation with injury severity, which could contribute to pathologic evolution and possibly outcome. The focus on age-related immunological differences could help design specific therapeutic interventions based on patients' characteristics.
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Affiliation(s)
- Marta Magatti
- Centro di Ricerca E. Menni, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy.
| | - Francesca Pischiutta
- Department of Acute Brain Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Fabrizio Ortolano
- Dipartimento di Anestesia-Rianimazione e Emergenza Urgenza, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Anna Pasotti
- Centro di Ricerca E. Menni, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy
| | - Enrico Caruso
- Department of Acute Brain Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
- Dipartimento di Anestesia-Rianimazione e Emergenza Urgenza, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Anna Cargnoni
- Centro di Ricerca E. Menni, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy
| | - Andrea Papait
- Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore Facoltà di Medicina e Chirurgia, Roma, Italy
| | - Franco Capuzzi
- Dipartimento Medicina di Laboratorio, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy
| | - Tommaso Zoerle
- Dipartimento di Anestesia-Rianimazione e Emergenza Urgenza, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milano, Italy
| | - Marco Carbonara
- Dipartimento di Anestesia-Rianimazione e Emergenza Urgenza, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Nino Stocchetti
- Dipartimento di Anestesia-Rianimazione e Emergenza Urgenza, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milano, Italy
| | - Stefano Borsa
- Unit of Neurosurgery, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Marco Locatelli
- Department of Pathophysiology and Transplantation, University of Milan, Milano, Italy
- Unit of Neurosurgery, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Elisa Erba
- Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Daniele Prati
- Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Antonietta R Silini
- Centro di Ricerca E. Menni, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy
| | - Elisa R Zanier
- Department of Acute Brain Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Ornella Parolini
- Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore Facoltà di Medicina e Chirurgia, Roma, Italy
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Roma, Italy
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Foster WS, Newman J, Thakur N, Spencer AJ, Davies S, Woods D, Godfrey L, Ross SH, Sharpe HJ, Richard AC, Bailey D, Lambe T, Linterman MA. ChAdOx1 nCoV-19 vaccination generates spike-specific CD8 + T cells in aged mice. Immunol Cell Biol 2023; 101:479-488. [PMID: 36975169 PMCID: PMC10952561 DOI: 10.1111/imcb.12645] [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: 02/20/2023] [Revised: 03/22/2023] [Accepted: 03/27/2023] [Indexed: 03/29/2023]
Abstract
Effective vaccines have reduced the morbidity and mortality caused by severe acute respiratory syndrome coronavirus-2 infection; however, the elderly remain the most at risk. Understanding how vaccines generate protective immunity and how these mechanisms change with age is key for informing future vaccine design. Cytotoxic CD8+ T cells are important for killing virally infected cells, and vaccines that induce antigen-specific CD8+ T cells in addition to humoral immunity provide an extra layer of immune protection. This is particularly important in cases where antibody titers are suboptimal, as can occur in older individuals. Here, we show that in aged mice, spike epitope-specific CD8+ T cells are generated in comparable numbers to younger animals after ChAdOx1 nCoV-19 vaccination, although phenotypic differences exist. This demonstrates that ChAdOx1 nCoV-19 elicits a good CD8+ T-cell response in older bodies, but that typical age-associated features are evident on these vaccine reactive T cells.
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Affiliation(s)
- William S Foster
- Lymphocyte Signalling and DevelopmentBabraham Institute, Babraham Research CampusCambridgeUK
| | | | - Nazia Thakur
- The Pirbright InstitutePirbright, WokingUK
- The Jenner Institute, University of OxfordOxfordUK
| | - Alexandra J Spencer
- Lymphocyte Signalling and DevelopmentBabraham Institute, Babraham Research CampusCambridgeUK
- Oxford Vaccine Group, Medical Sciences Division, Department of PaediatricsUniversity of Oxford and Chinese Academy of Medical Science (CAMS) Oxford Institute (COI), University of OxfordOxfordUK
- Present address:
School of Biomedical Sciences and PharmacyUniversity of NewcastleNewcastleNSWAustralia
| | | | - Danielle Woods
- Oxford Vaccine Group, Medical Sciences Division, Department of PaediatricsUniversity of Oxford and Chinese Academy of Medical Science (CAMS) Oxford Institute (COI), University of OxfordOxfordUK
| | | | - Sarah H Ross
- Lymphocyte Signalling and DevelopmentBabraham Institute, Babraham Research CampusCambridgeUK
| | - Hayley J Sharpe
- Signalling Programme, Babraham Institute, Babraham Research CampusCambridgeUK
| | - Arianne C Richard
- Lymphocyte Signalling and DevelopmentBabraham Institute, Babraham Research CampusCambridgeUK
| | | | - Teresa Lambe
- The Jenner Institute, University of OxfordOxfordUK
| | - Michelle A Linterman
- Lymphocyte Signalling and DevelopmentBabraham Institute, Babraham Research CampusCambridgeUK
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Laphanuwat P, Gomes DCO, Akbar AN. Senescent T cells: Beneficial and detrimental roles. Immunol Rev 2023; 316:160-175. [PMID: 37098109 PMCID: PMC10952287 DOI: 10.1111/imr.13206] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/20/2023] [Accepted: 04/01/2023] [Indexed: 04/27/2023]
Abstract
As the thymus involutes during aging, the T-cell pool has to be maintained by the periodic expansion of preexisting T cells during adulthood. A conundrum is that repeated episodes of activation and proliferation drive the differentiation of T cells toward replicative senescence, due to telomere erosion. This review discusses mechanisms that regulate the end-stage differentiation (senescence) of T cells. Although these cells, within both CD4 and CD8 compartments, lose proliferative activity after antigen-specific challenge, they acquire innate-like immune function. While this may confer broad immune protection during aging, these senescent T cells may also cause immunopathology, especially in the context of excessive inflammation in tissue microenvironments.
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Affiliation(s)
- Phatthamon Laphanuwat
- Division of MedicineUniversity College LondonLondonUK
- Department of PharmacologyFaculty of Medicine, Khon Kaen UniversityKhon KaenThailand
| | - Daniel Claudio Oliveira Gomes
- Division of MedicineUniversity College LondonLondonUK
- Núcleo de Doenças InfecciosasUniversidade Federal do Espírito SantoVitoriaBrazil
- Núcleo de BiotecnologiaUniversidade Federal do Espírito SantoVitoriaBrazil
| | - Arne N. Akbar
- Division of MedicineUniversity College LondonLondonUK
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34
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Sánchez M, Suárez L, Banda G, Barreiro-Alonso E, Rodríguez-Uña I, Rubín JM, Cantabrana B. Age-associated polyamines in peripheral blood cells and plasma in 20 to 70 years of age subjects. Amino Acids 2023:10.1007/s00726-023-03269-2. [PMID: 37310532 DOI: 10.1007/s00726-023-03269-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 04/14/2023] [Indexed: 06/14/2023]
Abstract
Dietary polyamines have been associated with slowing ageing processes and various pathologies, raising the importance of establishing reference values at different ages throughout life. This study aimed to analyse age-dependent variations in polyamine content using peripheral blood cells and plasma in a healthy and homogeneous population. Peripheral blood of 193 volunteers of both sexes (20-70 years), selected by convenience, was processed to separate cells and plasma. A pre-column derivatization method was used to determine the amines by HPLC (nmol or pmol/mg protein or nmol/ml) to analyse their association with the age (continuous or ordinal in decades) of the subjects. Putrescine and spermine weakly declined significantly in mononuclear cells with age. In erythrocytes and plasma, putrescine showed an evident decrease in the 60-70-year-old group compared to the rest. The ratios between polyamines, mainly in erythrocytes, decreased in the 60-70 years age group and increased the ratio of putrescine in mononuclear cells/erythrocytes. The ratio of putrescine in mononuclear cells/erythrocytes was higher in the 60-70-year-old age group than in the rest. In a sample of subjects (20-29 vs. 60-70 years), whole blood polyamines were not significantly different when differences existed in erythrocytes. Polyamine homeostasis in blood cells and plasma changed with age. Putrescine declined in mononuclear cells and decreased in erythrocytes and plasma in the decade of the 60 s. Further studies should establish an age-dependent phenotype and whether polyamines' supplementation could restore the decreased values and be associated with long-term overall biological benefits.
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Affiliation(s)
- Manuel Sánchez
- Farmacología, Departamento de Medicina, Facultad de Medicina, Universidad de Oviedo, c/ Julián Clavería 6, 33006, Oviedo, Spain.
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), c/ Fernando Bongera s/n, Edificio Santiago, Gascón Campus El Cristo B, 33006, Oviedo, Spain.
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Av. de Roma s/n, 33011, Oviedo, Spain.
| | - Lorena Suárez
- Farmacología, Departamento de Medicina, Facultad de Medicina, Universidad de Oviedo, c/ Julián Clavería 6, 33006, Oviedo, Spain
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), c/ Fernando Bongera s/n, Edificio Santiago, Gascón Campus El Cristo B, 33006, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Av. de Roma s/n, 33011, Oviedo, Spain
| | - Gabriela Banda
- Farmacología, Departamento de Medicina, Facultad de Medicina, Universidad de Oviedo, c/ Julián Clavería 6, 33006, Oviedo, Spain
| | - Eva Barreiro-Alonso
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), c/ Fernando Bongera s/n, Edificio Santiago, Gascón Campus El Cristo B, 33006, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Av. de Roma s/n, 33011, Oviedo, Spain
- Servicio de Digestivo, Hospital Universitario Central de Asturias (HUCA), Av. Roma s/n, 33011, Oviedo, Spain
| | - Ignacio Rodríguez-Uña
- Fundación de Investigación Oftalmológica (FIO), Instituto Universitario Fernández-Vega (IUFV), Universidad de Oviedo, Av. Dres. Fernández-Vega 34, 33012, Oviedo, Spain
| | - José Manuel Rubín
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Av. de Roma s/n, 33011, Oviedo, Spain
- Servicio de Cardiología, Hospital Universitario Central de Asturias (HUCA), Av. de Roma s/n, 33011, Oviedo, Spain
| | - Begoña Cantabrana
- Farmacología, Departamento de Medicina, Facultad de Medicina, Universidad de Oviedo, c/ Julián Clavería 6, 33006, Oviedo, Spain
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), c/ Fernando Bongera s/n, Edificio Santiago, Gascón Campus El Cristo B, 33006, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Av. de Roma s/n, 33011, Oviedo, Spain
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35
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França DCH, Fujimori M, de Queiroz AA, Borges MD, Magalhães Neto AM, de Camargos PJV, Ribeiro EB, França EL, Honorio-França AC, Fagundes-Triches DLG. Melatonin and Cytokines Modulate Daily Instrumental Activities of Elderly People with SARS-CoV-2 Infection. Int J Mol Sci 2023; 24:ijms24108647. [PMID: 37239991 DOI: 10.3390/ijms24108647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 05/03/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023] Open
Abstract
The Comprehensive Geriatric Assessment analyzes the health and quality of life of the elderly. Basic and instrumental daily activities may be compromised due to neuroimmunoendocrine changes, and studies suggest that possible immunological changes occur during infections in the elderly. Thus, this study aimed to analyze cytokine and melatonin levels in serum and correlate the Comprehensive Geriatric Assessment in elderly patients with SARS-CoV-2 infection. The sample consisted of 73 elderly individuals, 43 of whom were without infection and 30 of whom had positive diagnoses of COVID-19. Blood samples were collected to quantify cytokines by flow cytometry and melatonin by ELISA. In addition, structured and validated questionnaires were applied to assess basic (Katz) and instrumental (Lawton and Brody) activities. There was an increase in IL-6, IL-17, and melatonin in the group of elderly individuals with infection. In addition, a positive correlation was observed between melatonin and IL-6 and IL-17 in elderly patients with SARS-CoV-2 infection. Furthermore, there was a reduction in the score of the Lawton and Brody Scale in the infected elderly. These data suggest that the melatonin hormone and inflammatory cytokines are altered in the serum of the elderly with SARS-CoV-2 infection. In addition, there is a degree of dependence, mainly regarding the performance of daily instrumental activities, in the elderly. The considerable impact on the elderly person's ability to perform everyday tasks necessary for independent living is an extremely important result, and changes in cytokines and melatonin probably are associated with alterations in these daily activities of the elderly.
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Affiliation(s)
| | - Mahmi Fujimori
- Biological and Health Sciences Institute, Federal University of Mato Grosso, Barra do Garças 78605-091, Mato Grosso, Brazil
| | - Adriele Ataídes de Queiroz
- Biological and Health Sciences Institute, Federal University of Mato Grosso, Barra do Garças 78605-091, Mato Grosso, Brazil
| | - Maraísa Delmut Borges
- Biological and Health Sciences Institute, Federal University of Mato Grosso, Barra do Garças 78605-091, Mato Grosso, Brazil
| | - Aníbal Monteiro Magalhães Neto
- Biological and Health Sciences Institute, Federal University of Mato Grosso, Barra do Garças 78605-091, Mato Grosso, Brazil
| | | | - Elton Brito Ribeiro
- Health Sciences Institute, Federal University of Mato Grosso, Sinop 78557-287, Mato Grosso, Brazil
| | - Eduardo Luzía França
- Biological and Health Sciences Institute, Federal University of Mato Grosso, Barra do Garças 78605-091, Mato Grosso, Brazil
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36
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Bao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, Wang S, Wang X, Wang X, Wang YJ, Wang Y, Wong CCL, Xiang AP, Xiao Y, Xie Z, Xu D, Ye J, Yue R, Zhang C, Zhang H, Zhang L, Zhang W, Zhang Y, Zhang YW, Zhang Z, Zhao T, Zhao Y, Zhu D, Zou W, Pei G, Liu GH. Biomarkers of aging. SCIENCE CHINA. LIFE SCIENCES 2023; 66:893-1066. [PMID: 37076725 PMCID: PMC10115486 DOI: 10.1007/s11427-023-2305-0] [Citation(s) in RCA: 71] [Impact Index Per Article: 71.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 04/21/2023]
Abstract
Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant.
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Affiliation(s)
- Hainan Bao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Jiani Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mengting Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Min Chen
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wei Chen
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, 400042, China
| | - Yanhao Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yu Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Yutian Chen
- The Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhiyang Chen
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yingjie Ding
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Junlin Feng
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jun Guo
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Mengmeng Guo
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Chuting He
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Yujuan Jia
- Department of Neurology, First Affiliated Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - Haiping Jiang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Ying Jing
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Dingfeng Li
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyi Li
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Qinhao Liang
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China
| | - Rui Liang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China
| | - Feng Liu
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China
| | - Xiaoqian Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Zuojun Liu
- School of Life Sciences, Hainan University, Haikou, 570228, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jianwei Lv
- School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Jingyi Ma
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Kehang Mao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China
| | - Jiawei Nie
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinhua Qiao
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinpei Sun
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianfang Wang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Qiaoran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyuan Wang
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xuan Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China
| | - Yaning Wang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuhan Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Rimo Wu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Kai Xia
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Fu-Hui Xiao
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Lingyan Xu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yingying Xu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Haoteng Yan
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Liang Yang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China
| | - Ruici Yang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yuanxin Yang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yilin Ying
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China
| | - Le Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Weiwei Zhang
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China
| | - Wenwan Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xing Zhang
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Zhuo Zhang
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Min Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Qingchen Zhu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Zhengmao Zhu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Feng Cao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China.
| | - Zhongwei Cao
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou, 510000, China.
| | - Hou-Zao Chen
- Department of Biochemistryand Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
| | - Jun Chen
- Peking University Research Center on Aging, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Molecular Biology, Department of Integration of Chinese and Western Medicine, School of Basic Medical Science, Peking University, Beijing, 100191, China.
| | - Weimin Ci
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
| | - Bi-Sen Ding
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Feng Gao
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Kai Huang
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China.
| | - Qing-Peng Kong
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Jian Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China.
| | - Xin Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Baohua Liu
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen, 518060, China.
| | - Feng Liu
- Metabolic Syndrome Research Center, The Second Xiangya Hospital, Central South Unversity, Changsha, 410011, China.
| | - Lin Liu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China.
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin, 300000, China.
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300350, China.
| | - Qiang Liu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China.
| | - Qiang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
- Tianjin Institute of Immunology, Tianjin Medical University, Tianjin, 300070, China.
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China.
| | - Yong Liu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China.
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China.
| | - Shuai Ma
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Xinran Ma
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
| | - Zhiyong Mao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Jing Nie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yaojin Peng
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jie Ren
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Ruibao Ren
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Center for Aging and Cancer, Hainan Medical University, Haikou, 571199, China.
| | - Moshi Song
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Zhou Songyang
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China.
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Yi Eve Sun
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Department of Medicine and VAPSHCS, University of Washington, Seattle, WA, 98195, USA.
| | - Mei Tian
- Human Phenome Institute, Fudan University, Shanghai, 201203, China.
| | - Shusen Wang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China.
| | - Si Wang
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| | - Xia Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Xiaoning Wang
- Institute of Geriatrics, The second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
| | - Yunfang Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China.
| | - Catherine C L Wong
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
| | - Andy Peng Xiang
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China.
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Zhengwei Xie
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China.
- Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, 100101, China.
| | - Daichao Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China.
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China.
| | - Rui Yue
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Cuntai Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China.
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Hongbo Zhang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yong Zhang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
| | - Zhuohua Zhang
- Key Laboratory of Molecular Precision Medicine of Hunan Province and Center for Medical Genetics, Institute of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, 410078, China.
- Department of Neurosciences, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Tongbiao Zhao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Yuzheng Zhao
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Dahai Zhu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Weiguo Zou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Gang Pei
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Biomedicine, The Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai, 200070, China.
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
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Liu Q, Zheng Y, Goronzy JJ, Weyand CM. T cell aging as a risk factor for autoimmunity. J Autoimmun 2023; 137:102947. [PMID: 36357240 PMCID: PMC10164202 DOI: 10.1016/j.jaut.2022.102947] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 10/23/2022] [Indexed: 11/09/2022]
Abstract
Immune aging is a complex process rendering the host susceptible to cancer, infection, and insufficient tissue repair. Many autoimmune diseases preferentially occur during the second half of life, counterintuitive to the concept of excess adaptive immunity driving immune-mediated tissue damage. T cells are particularly susceptible to aging-imposed changes, as they are under extreme proliferative pressure to fulfill the demands of clonal expansion and of homeostatic T cell repopulation. T cells in older adults have a footprint of genetic and epigenetic changes, lack mitochondrial fitness, and fail to maintain proteostasis, diverging them from host protection to host injury. Here, we review recent progress in understanding how the human T-cell system ages and the evidence detailing how T cell aging contributes to autoimmune conditions. T cell aging is now recognized as a risk determinant in two prototypic autoimmune syndromes; rheumatoid arthritis and giant cell arteritis. The emerging concept adds susceptibility to autoimmune and autoinflammatory disease to the spectrum of aging-imposed adaptations and opens new opportunities for immunomodulatory therapy by restoring the functional intactness of aging T cells.
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Affiliation(s)
- Qingxiang Liu
- Department of Medicine, Mayo Clinic Alix School of Medicine, Rochester, MN 55905, USA; Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA
| | - Yanyan Zheng
- Department of Medicine, Mayo Clinic Alix School of Medicine, Rochester, MN 55905, USA; Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA; Department of Cardiovascular Medicine, Mayo Alix School of Medicine, Rochester, MN, USA
| | - Jorg J Goronzy
- Department of Medicine, Mayo Clinic Alix School of Medicine, Rochester, MN 55905, USA; Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA; Department of Medicine, Stanford University School of Medicine, Stanford, CA 94306, USA
| | - Cornelia M Weyand
- Department of Medicine, Mayo Clinic Alix School of Medicine, Rochester, MN 55905, USA; Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA; Department of Cardiovascular Medicine, Mayo Alix School of Medicine, Rochester, MN, USA; Department of Medicine, Stanford University School of Medicine, Stanford, CA 94306, USA.
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38
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Karakaslar EO, Katiyar N, Hasham M, Youn A, Sharma S, Chung C, Marches R, Korstanje R, Banchereau J, Ucar D. Transcriptional activation of Jun and Fos members of the AP-1 complex is a conserved signature of immune aging that contributes to inflammaging. Aging Cell 2023; 22:e13792. [PMID: 36840360 PMCID: PMC10086525 DOI: 10.1111/acel.13792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 12/20/2022] [Accepted: 01/25/2023] [Indexed: 02/26/2023] Open
Abstract
Diverse mouse strains have different health and life spans, mimicking the diversity among humans. To capture conserved aging signatures, we studied long-lived C57BL/6J and short-lived NZO/HILtJ mouse strains by profiling transcriptomes and epigenomes of immune cells from peripheral blood and the spleen from young and old mice. Transcriptional activation of the AP-1 transcription factor complex, particularly Fos, Junb, and Jun genes, was the most significant and conserved aging signature across tissues and strains. ATAC-seq data analyses showed that the chromatin around these genes was more accessible with age and there were significantly more binding sites for these TFs with age across all studied tissues, targeting pro-inflammatory molecules including Il6. Age-related increases in binding sites of JUN and FOS factors were also conserved in human peripheral blood ATAC-seq data. Single-cell RNA-seq data from the mouse aging cell atlas Tabula Muris Senis showed that the expression of these genes increased with age in B, T, NK cells, and macrophages, with macrophages from old mice expressing these molecules more abundantly than other cells. Functional data showed that upon myeloid cell activation via poly(I:C), the levels of JUN protein and its binding activity increased more significantly in spleen cells from old compared to young mice. In addition, upon activation, old cells produced more IL6 compared to young cells. In sum, we showed that the aging-related transcriptional activation of Jun and Fos family members in AP-1 complex is conserved across immune tissues and long- and short-living mouse strains, possibly contributing to increased inflammation with age.
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Affiliation(s)
- Emin Onur Karakaslar
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
- Leiden University Medical Center (LUMC)LeidenThe Netherlands
| | - Neerja Katiyar
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
| | - Muneer Hasham
- The Jackson Laboratory for Mammalian GeneticsBar HarborMaineUSA
| | | | | | - Cheng‐han Chung
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
| | - Radu Marches
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
| | - Ron Korstanje
- The Jackson Laboratory for Mammalian GeneticsBar HarborMaineUSA
| | - Jacques Banchereau
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
- ImmunaiNew YorkNew YorkUSA
| | - Duygu Ucar
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
- Department of Genetics and Genome SciencesUniversity of Connecticut Health CenterFarmingtonConnecticutUSA
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39
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Cao W, Sturmlechner I, Zhang H, Jin J, Hu B, Jadhav RR, Fang F, Weyand CM, Goronzy JJ. TRIB2 safeguards naive T cell homeostasis during aging. Cell Rep 2023; 42:112195. [PMID: 36884349 PMCID: PMC10118747 DOI: 10.1016/j.celrep.2023.112195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 12/24/2022] [Accepted: 02/15/2023] [Indexed: 03/08/2023] Open
Abstract
Naive CD4+ T cells are more resistant to age-related loss than naive CD8+ T cells, suggesting mechanisms that preferentially protect naive CD4+ T cells during aging. Here, we show that TRIB2 is more abundant in naive CD4+ than CD8+ T cells and counteracts quiescence exit by suppressing AKT activation. TRIB2 deficiency increases AKT activity and accelerates proliferation and differentiation in response to interleukin-7 (IL-7) in humans and during lymphopenia in mice. TRIB2 transcription is controlled by the lineage-determining transcription factors ThPOK and RUNX3. Ablation of Zbtb7b (encoding ThPOK) and Cbfb (obligatory RUNT cofactor) attenuates the difference in lymphopenia-induced proliferation between naive CD4+ and CD8+ cells. In older adults, ThPOK and TRIB2 expression wanes in naive CD4+ T cells, causing loss of naivety. These findings assign TRIB2 a key role in regulating T cell homeostasis and provide a model to explain the lesser resilience of CD8+ T cells to undergo changes with age.
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Affiliation(s)
- Wenqiang Cao
- Key Laboratory of Major Chronic Diseases of Nervous System of Liaoning Province, Health Sciences Institute of China Medical University, Shenyang 110122, China; Department of Medicine, Division of Immunology and Rheumatology, Stanford University, Stanford, CA 94305, USA; Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94305, USA; Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA.
| | - Ines Sturmlechner
- Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
| | - Huimin Zhang
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University, Stanford, CA 94305, USA; Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94305, USA; Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
| | - Jun Jin
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University, Stanford, CA 94305, USA; Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94305, USA; Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
| | - Bin Hu
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University, Stanford, CA 94305, USA; Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94305, USA
| | - Rohit R Jadhav
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University, Stanford, CA 94305, USA; Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94305, USA; Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
| | - Fengqin Fang
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University, Stanford, CA 94305, USA; Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94305, USA; Department of Laboratory Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, China
| | - Cornelia M Weyand
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University, Stanford, CA 94305, USA; Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94305, USA; Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA; Department of Medicine, Division of Rheumatology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
| | - Jörg J Goronzy
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University, Stanford, CA 94305, USA; Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94305, USA; Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA; Department of Medicine, Division of Rheumatology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA; Robert and Arlene Kogod Center on Aging, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA.
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40
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Müller-Werdan U, Polidori MC, Simm A. On frailty and accelerated aging during SARS-Cov-2: senescence. Aging Clin Exp Res 2023; 35:907-912. [PMID: 36935472 PMCID: PMC10025062 DOI: 10.1007/s40520-023-02364-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 02/04/2023] [Indexed: 03/21/2023]
Abstract
The COVID-19 pandemic is a burden for the worldwide healthcare systems. Whereas a clear age-dependent mortality can be observed, especially multimorbid and frail persons are at an increased risk. As bio-functional rather than calendrical age is in the meanwhile known to play a crucial role for COVID-19-related outcomes, aging-associated risk factors, overall prognosis and physiological age-related changes should be systematically considered for clinical decision-making. In this overview, we focus on cellular senescence as a major factor of biological aging, associated with organ dysfunction and increased inflammation (inflammaging).
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Affiliation(s)
- Ursula Müller-Werdan
- Department of Geriatrics and Medical Gerontology, Charité - Universitätsmedizin Berlin and EGZB, Berlin, Germany
| | - M Cristina Polidori
- Department II of Internal Medicine and Center for Molecular Medicine Cologne, Ageing Clinical Research, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
- CECAD, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
| | - Andreas Simm
- Clinic for Cardiac Surgery, University Hospital Halle (Saale), Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
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41
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Almeida JS, Casanova JM, Santos-Rosa M, Tarazona R, Solana R, Rodrigues-Santos P. Natural Killer T-like Cells: Immunobiology and Role in Disease. Int J Mol Sci 2023; 24:ijms24032743. [PMID: 36769064 PMCID: PMC9917533 DOI: 10.3390/ijms24032743] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 01/27/2023] [Accepted: 01/29/2023] [Indexed: 02/04/2023] Open
Abstract
CD56+ T cells are generally recognized as a distinct population of T cells and are categorized as NKT-like cells. Although our understanding of NKT-like cells is far from satisfactory, it has been shown that aging and a number of disease situations have impacted these cells. To construct an overview of what is currently known, we reviewed the literature on human NKT-like cells. NKT-like cells are highly differentiated T cells with "CD1d-independent" antigen recognition and MHC-unrestricted cell killing. The genesis of NKT-like cells is unclear; however, it is proposed that the acquisition of innate characteristics by T cells could represent a remodeling process leading to successful aging. Additionally, it has been shown that NKT-like cells may play a significant role in several pathological conditions, making it necessary to comprehend whether these cells might function as prognostic markers. The quantification and characterization of these cells might serve as a cutting-edge indicator of individual immune health. Additionally, exploring the mechanisms that can control their killing activity in different contexts may therefore result in innovative therapeutic alternatives in a wide range of disease settings.
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Affiliation(s)
- Jani-Sofia Almeida
- Institute of Immunology, Faculty of Medicine, University of Coimbra (FMUC), 3004-504 Coimbra, Portugal
- Laboratory of Immunology and Oncology, Center for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, Portugal
- Center of Investigation in Environment, Genetics and Oncobiology (CIMAGO), Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
- Center for Innovation in Biomedicine and Biotechnology (CIBB), University of Coimbra, 3004-504 Coimbra, Portugal
- Clinical Academic Centre of Coimbra (CACC), 3000-075 Coimbra, Portugal
| | - José Manuel Casanova
- Center of Investigation in Environment, Genetics and Oncobiology (CIMAGO), Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
- Center for Innovation in Biomedicine and Biotechnology (CIBB), University of Coimbra, 3004-504 Coimbra, Portugal
- Clinical Academic Centre of Coimbra (CACC), 3000-075 Coimbra, Portugal
- University Clinic of Orthopedics, Orthopedics Service, Tumor Unit of the Locomotor Apparatus (UTAL), Coimbra Hospital and Universitary Center (CHUC), 3000-075 Coimbra, Portugal
| | - Manuel Santos-Rosa
- Institute of Immunology, Faculty of Medicine, University of Coimbra (FMUC), 3004-504 Coimbra, Portugal
- Center of Investigation in Environment, Genetics and Oncobiology (CIMAGO), Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
- Center for Innovation in Biomedicine and Biotechnology (CIBB), University of Coimbra, 3004-504 Coimbra, Portugal
- Clinical Academic Centre of Coimbra (CACC), 3000-075 Coimbra, Portugal
| | - Raquel Tarazona
- Immunology Unit, Department of Physiology, University of Extremadura, 10003 Cáceres, Spain
| | - Rafael Solana
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofía University Hospital, 14004 Córdoba, Spain
- Immunology Unit, Department of Cell Biology, Physiology and Immunology, University of Córdoba, 14071 Córdoba, Spain
| | - Paulo Rodrigues-Santos
- Institute of Immunology, Faculty of Medicine, University of Coimbra (FMUC), 3004-504 Coimbra, Portugal
- Laboratory of Immunology and Oncology, Center for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, Portugal
- Center of Investigation in Environment, Genetics and Oncobiology (CIMAGO), Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
- Center for Innovation in Biomedicine and Biotechnology (CIBB), University of Coimbra, 3004-504 Coimbra, Portugal
- Clinical Academic Centre of Coimbra (CACC), 3000-075 Coimbra, Portugal
- Correspondence:
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42
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Inferring the T cell repertoire dynamics of healthy individuals. Proc Natl Acad Sci U S A 2023; 120:e2207516120. [PMID: 36669107 PMCID: PMC9942919 DOI: 10.1073/pnas.2207516120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
The adaptive immune system is a diverse ecosystem that responds to pathogens by selecting cells with specific receptors. While clonal expansion in response to particular immune challenges has been extensively studied, we do not know the neutral dynamics that drive the immune system in the absence of strong stimuli. Here, we learn the parameters that underlie the clonal dynamics of the T cell repertoire in healthy individuals of different ages, by applying Bayesian inference to longitudinal immune repertoire sequencing (RepSeq) data. Quantifying the experimental noise accurately for a given RepSeq technique allows us to disentangle real changes in clonal frequencies from noise. We find that the data are consistent with clone sizes following a geometric Brownian motion and show that its predicted steady state is in quantitative agreement with the observed power-law behavior of the clone-size distribution. The inferred turnover time scale of the repertoire increases with patient age and depends on the clone size in some individuals.
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43
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Jo N, Hidaka Y, Kikuchi O, Fukahori M, Sawada T, Aoki M, Yamamoto M, Nagao M, Morita S, Nakajima TE, Muto M, Hamazaki Y. Impaired CD4 + T cell response in older adults is associated with reduced immunogenicity and reactogenicity of mRNA COVID-19 vaccination. NATURE AGING 2023; 3:82-92. [PMID: 37118516 PMCID: PMC10154196 DOI: 10.1038/s43587-022-00343-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 11/29/2022] [Indexed: 04/30/2023]
Abstract
Whether age-associated defects in T cells impact the immunogenicity and reactogenicity of mRNA vaccines remains unclear. Using a vaccinated cohort (n = 216), we demonstrated that older adults (aged ≥65 years) had fewer vaccine-induced spike-specific CD4+ T cells including CXCR3+ circulating follicular helper T cells and the TH1 subset of helper T cells after the first dose, which correlated with their lower peak IgG levels and fewer systemic adverse effects after the second dose, compared with younger adults. Moreover, spike-specific TH1 cells in older adults expressed higher levels of programmed cell death protein 1, a negative regulator of T cell activation, which was associated with low spike-specific CD8+ T cell responses. Thus, an inefficient CD4+ T cell response after the first dose may reduce the production of helper T cytokines, even after the second dose, thereby lowering humoral and cellular immunity and reducing systemic reactogenicity. Therefore, enhancing CD4+ T cell response following the first dose is key to improving vaccine efficacy in older adults.
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Affiliation(s)
- Norihide Jo
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
- Alliance Laboratory for Advanced Medical Research, Graduate school of Medicine, Kyoto University, Kyoto, Japan
| | - Yu Hidaka
- Department of Biomedical Statistics and Bioinformatics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Osamu Kikuchi
- Department of Therapeutic Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Clinical Bio-Resource Center, Kyoto University Hospital, Kyoto, Japan
| | - Masaru Fukahori
- Department of Early Clinical Development, Graduate school of Medicine, Kyoto University, Kyoto, Japan
- Kyoto Innovation Center for Next Generation Clinical Trials and iPS Cell Therapy (Ki-CONNECT), Kyoto University Hospital, Kyoto, Japan
| | - Takeshi Sawada
- Department of Early Clinical Development, Graduate school of Medicine, Kyoto University, Kyoto, Japan
- Kyoto Innovation Center for Next Generation Clinical Trials and iPS Cell Therapy (Ki-CONNECT), Kyoto University Hospital, Kyoto, Japan
| | - Masahiko Aoki
- Department of Early Clinical Development, Graduate school of Medicine, Kyoto University, Kyoto, Japan
- Kyoto Innovation Center for Next Generation Clinical Trials and iPS Cell Therapy (Ki-CONNECT), Kyoto University Hospital, Kyoto, Japan
| | - Masaki Yamamoto
- Department of Clinical Laboratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Miki Nagao
- Department of Clinical Laboratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Satoshi Morita
- Department of Biomedical Statistics and Bioinformatics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takako E Nakajima
- Department of Early Clinical Development, Graduate school of Medicine, Kyoto University, Kyoto, Japan
- Kyoto Innovation Center for Next Generation Clinical Trials and iPS Cell Therapy (Ki-CONNECT), Kyoto University Hospital, Kyoto, Japan
| | - Manabu Muto
- Department of Therapeutic Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Clinical Bio-Resource Center, Kyoto University Hospital, Kyoto, Japan
- Kyoto Innovation Center for Next Generation Clinical Trials and iPS Cell Therapy (Ki-CONNECT), Kyoto University Hospital, Kyoto, Japan
| | - Yoko Hamazaki
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.
- Laboratory of Immunobiology, Graduate school of Medicine, Kyoto University, Kyoto, Japan.
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44
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Zhang H, Jadhav RR, Cao W, Goronzy IN, Zhao TV, Jin J, Ohtsuki S, Hu Z, Morales J, Greenleaf WJ, Weyand CM, Goronzy JJ. Aging-associated HELIOS deficiency in naive CD4 + T cells alters chromatin remodeling and promotes effector cell responses. Nat Immunol 2023; 24:96-109. [PMID: 36510022 PMCID: PMC10118794 DOI: 10.1038/s41590-022-01369-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 10/24/2022] [Indexed: 12/14/2022]
Abstract
Immune aging combines cellular defects in adaptive immunity with the activation of pathways causing a low-inflammatory state. Here we examined the influence of age on the kinetic changes in the epigenomic and transcriptional landscape induced by T cell receptor (TCR) stimulation in naive CD4+ T cells. Despite attenuated TCR signaling in older adults, TCR activation accelerated remodeling of the epigenome and induced transcription factor networks favoring effector cell differentiation. We identified increased phosphorylation of STAT5, at least in part due to aberrant IL-2 receptor and lower HELIOS expression, as upstream regulators. Human HELIOS-deficient, naive CD4+ T cells, when transferred into human-synovium-mouse chimeras, infiltrated tissues more efficiently. Inhibition of IL-2 or STAT5 activity in T cell responses of older adults restored the epigenetic response pattern to the one seen in young adults. In summary, reduced HELIOS expression in non-regulatory naive CD4+ T cells in older adults directs T cell fate decisions toward inflammatory effector cells that infiltrate tissue.
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Affiliation(s)
- Huimin Zhang
- Department of Immunology, Mayo Clinic, Rochester, MN, USA
- Department of Medicine, Stanford University, Stanford, CA, USA
| | - Rohit R Jadhav
- Department of Immunology, Mayo Clinic, Rochester, MN, USA
- Department of Medicine, Stanford University, Stanford, CA, USA
| | - Wenqiang Cao
- Department of Immunology, Mayo Clinic, Rochester, MN, USA
- Department of Medicine, Stanford University, Stanford, CA, USA
- Health Sciences Institute, China Medical University, Shenyang, China
| | - Isabel N Goronzy
- Biochemistry and Molecular Biophysics, California Institute of Technology, Pasadena, CA, USA
| | - Tuantuan V Zhao
- Department of Medicine, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Rheumatology, Mayo Clinic, Rochester, MN, USA
| | - Jun Jin
- Department of Immunology, Mayo Clinic, Rochester, MN, USA
- Department of Medicine, Stanford University, Stanford, CA, USA
| | - Shozo Ohtsuki
- Department of Medicine, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Rheumatology, Mayo Clinic, Rochester, MN, USA
| | - Zhaolan Hu
- Department of Medicine, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Rheumatology, Mayo Clinic, Rochester, MN, USA
| | - Jose Morales
- Department of Medicine, Division of Rheumatology, Mayo Clinic, Rochester, MN, USA
| | | | - Cornelia M Weyand
- Department of Immunology, Mayo Clinic, Rochester, MN, USA
- Department of Medicine, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Rheumatology, Mayo Clinic, Rochester, MN, USA
| | - Jörg J Goronzy
- Department of Immunology, Mayo Clinic, Rochester, MN, USA.
- Department of Medicine, Stanford University, Stanford, CA, USA.
- Department of Medicine, Division of Rheumatology, Mayo Clinic, Rochester, MN, USA.
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45
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Provost G, Lavoie FB, Larbi A, Ng TP, Ying CTT, Chua M, Fulop T, Cohen AA. Novel approach to analysis of the immune system using an ungated model of immune surface marker abundance to predict health outcomes. Immun Ageing 2022; 19:35. [PMID: 35927749 PMCID: PMC9351261 DOI: 10.1186/s12979-022-00291-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 07/13/2022] [Indexed: 11/10/2022]
Abstract
AbstractTraditionally, the immune system is understood to be divided into discrete cell types that are identified via surface markers. While some cell type distinctions are no doubt discrete, others may in fact vary on a continum, and even within discrete types, differences in surface marker abundance could have functional implications. Here we propose a new way of looking at immune data, which is by looking directly at the values of the surface markers without dividing the cells into different subtypes. To assess the merit of this approach, we compared it with manual gating using cytometry data from the Singapore Longitudinal Aging Study (SLAS) database. We used two different neural networks (one for each method) to predict the presence of several health conditions. We found that the model built using raw surface marker abundance outperformed the manual gating one and we were able to identify some markers that contributed more to the predictions. This study is intended as a brief proof-of-concept and was not designed to predict health outcomes in an applied setting; nonetheless, it demonstrates that alternative methods to understand the structure of immune variation hold substantial progress.
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46
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Niebuhr M, Bahreini F, Fähnrich A, Bomholt C, Bieber K, Schmidt E, Ibrahim S, Hammers CM, Kalies K. Analysis of T cell repertoires of CD45RO CD4 T cells in cohorts of patients with bullous pemphigoid: A pilot study. Front Immunol 2022; 13:1006941. [DOI: 10.3389/fimmu.2022.1006941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 10/27/2022] [Indexed: 11/16/2022] Open
Abstract
Autoimmune diseases develop over years - starting from a subclinical phenotype to clinically manifest autoimmune disease. The factors that drive this transition are ill-defined. To predict the turning point towards clinical disease and to intervene in the progress of autoimmune-mediated dysfunction, the establishment of new biomarkers is needed. Especially CD4 T cells are crucially involved in autoimmunity: first, during the initiation phase, because they lose their tolerance towards self-peptides, and second, by the subsequent ongoing presentation of self-peptides during the active autoimmune disease. Accordingly, changes in the degree of diversity of T cell receptor (TCR) repertoires in autoimmunity have been reported. These findings led to the hypothesis that transition from pre-disease to autoimmune disease is associated with an increase of abnormally expanded T cell clones that occupy large portions of the TCR repertoire. In this pilot study, we asked whether the ratio and the diversity of the TCR repertoires of circulating memory (CD45RO) and naïve (CD45RA) CD4 T cells could serve as a predictive factor for the development of autoimmunity. To find out, we analyzed the TCRβ repertoires of memory and naïve CD4 T cells in a small cohort of four gender- and age-matched elderly patients having the autoimmune blistering disease bullous pemphigoid or non-melanoma skin cancers. We found that the extent of clonal expansions in the TCRβ repertoires from the circulating memory and naïve CD4 populations did not differ between the patient groups. This result shows that the diversity of TCR repertoires from peripheral CD4 T cells does not reflect the manifestation of the skin-associated autoimmune disease BP and does not qualify as a prognostic factor. We propose that longitudinal TCR repertoire analysis of younger patients might be more informative.
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47
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Van Praet JT, De Groote M, De Bacquer D, Verhalleman E, Welvaert Z, Emmerechts J, Reynders M, De Vriese AS. Immune Senescence Markers Predict the Cellular Immune Response to BNT162b2 Vaccination in Hemodialysis Patients. Open Forum Infect Dis 2022; 9:ofac585. [PMCID: PMC9669454 DOI: 10.1093/ofid/ofac585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 10/28/2022] [Indexed: 11/18/2022] Open
Abstract
Abstract
Background
Chronic kidney disease is associated with increased risk of frailty and accelerated immune senescence, potentially affecting the immune response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination.
Methods
Humoral and cellular responses against the spike protein of SARS-CoV-2 were determined in 189 COVID-naive hemodialysis patients at week 4 and 8 after vaccination with 2 doses of BNT162b2. Frailty indicators and immune senescence markers were determined at baseline to identify predictors of the immune response.
Results
Controlling for age, activities of daily living (ADLs), instrumental ADLs, walking pace, and the clinical frailty score correlated negatively and hand grip strength positively with the humoral response. Controlling for age, the proportions of memory CD4+ T cells, memory CD8+ T cells, CD28null T cells, and CD57+CD8+ T cells correlated negatively with the humoral response, whereas the proportions of memory CD4+ T cells and CD28null T cells correlated negatively and the CD4/CD8 ratio positively with the cellular response. In a multivariate model, only the proportions of memory CD4+ T cells and CD28null T cells independently predicted the cellular response.
Conclusions
Markers of immune senescence, but not frailty indicators, independently predict the cellular immune response after vaccination in hemodialysis patients, overruling the effect of chronological age.
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Affiliation(s)
- Jens T Van Praet
- Department of Nephrology and Infectious Diseases, AZ Sint-Jan Brugge-Oostende AV , Brugge , Belgium
- Department of Internal Medicine and Pediatrics, Ghent University , Ghent , Belgium
| | - Marie De Groote
- Department of Geriatrics, AZ Sint-Jan Brugge-Oostende AV , Brugge , Belgium
| | - Dirk De Bacquer
- Department of Public Health and Primary Care, Ghent University , Ghent , Belgium
| | - Ellen Verhalleman
- Department of Occupational Therapy, AZ Sint-Jan Brugge-Oostende AV , Brugge , Belgium
| | - Ziggy Welvaert
- Department of Occupational Therapy, AZ Sint-Jan Brugge-Oostende AV , Brugge , Belgium
| | - Jan Emmerechts
- Department of Laboratory Hematology, AZ Sint-Jan Brugge-Oostende AV , Brugge , Belgium
| | - Marijke Reynders
- Department of Medical Microbiology, AZ Sint-Jan Brugge-Oostende AV , Brugge , Belgium
| | - An S De Vriese
- Department of Nephrology and Infectious Diseases, AZ Sint-Jan Brugge-Oostende AV , Brugge , Belgium
- Department of Internal Medicine and Pediatrics, Ghent University , Ghent , Belgium
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48
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Caruso C, Ligotti ME, Accardi G, Aiello A, Candore G. An immunologist's guide to immunosenescence and its treatment. Expert Rev Clin Immunol 2022; 18:961-981. [PMID: 35876758 DOI: 10.1080/1744666x.2022.2106217] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
INTRODUCTION : The ageing process causes several changes in the immune system, although immune ageing is strongly influenced by individual immunological history, as well as genetic and environmental factors leading to inter-individual variability. AREAS COVERED : Here, we focused on the biological and clinical meaning of immunosenescence. Data on SARS-CoV-2 and Yellow Fever vaccine have demonstrated the clinical relevance of immunosenescence, while inconsistent results, obtained from longitudinal studies aimed at looking for immune risk phenotypes, have revealed that the immunosenescence process is highly context-dependent. Large projects have allowed the delineation of the drivers of immune system variance, including genetic and environmental factors, sex, smoking, and co-habitation. Therefore, it is difficult to identify the interventions that can be envisaged to maintain or improve immune function in older people. That suggests that drug treatment of immunosenescence should require personalized intervention. Regarding this, we discussed the role of changes in lifestyle as a potential therapeutic approach. EXPERT OPINION : Our review points out that age is only part of the problem of immunosenescence. Everyone ages differently because he/she is unique in genetics and experience of life and this applies even more to the immune system (immunobiography). Finally, the present review shows how appreciable results in the modification of immunosenescence biomarkers can be achieved with lifestyle modification.
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Affiliation(s)
- Calogero Caruso
- Laboratorio di Immunopatologia e Immunosenescenza, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università di Palermo, Palermo, Italy
| | - Mattia Emanuela Ligotti
- Laboratorio di Immunopatologia e Immunosenescenza, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università di Palermo, Palermo, Italy
| | - Giulia Accardi
- Laboratorio di Immunopatologia e Immunosenescenza, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università di Palermo, Palermo, Italy
| | - Anna Aiello
- Laboratorio di Immunopatologia e Immunosenescenza, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università di Palermo, Palermo, Italy
| | - Giuseppina Candore
- Laboratorio di Immunopatologia e Immunosenescenza, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università di Palermo, Palermo, Italy
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49
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Jo N, Zhang R, Ueno H, Yamamoto T, Weiskopf D, Nagao M, Yamanaka S, Hamazaki Y. Aging and CMV Infection Affect Pre-existing SARS-CoV-2-Reactive CD8 + T Cells in Unexposed Individuals. FRONTIERS IN AGING 2022; 2:719342. [PMID: 35822004 PMCID: PMC9261342 DOI: 10.3389/fragi.2021.719342] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 07/19/2021] [Indexed: 12/21/2022]
Abstract
Age is a major risk factor for COVID-19 severity, and T cells play a central role in anti-SARS-CoV-2 immunity. Because SARS-CoV-2-cross-reactive T cells have been detected in unexposed individuals, we investigated the age-related differences in pre-existing SARS-CoV-2-reactive T cells. SARS-CoV-2-reactive CD4+ T cells from young and elderly individuals were mainly detected in the central memory fraction and exhibited similar functionalities and numbers. Naïve-phenotype SARS-CoV-2-reactive CD8+ T cell populations decreased markedly in the elderly, while those with terminally differentiated and senescent phenotypes increased. Furthermore, senescent SARS-CoV-2-reactive CD8+ T cell populations were higher in cytomegalovirus seropositive young individuals compared to seronegative ones. Our findings suggest that age-related differences in pre-existing SARS-CoV-2-reactive CD8+ T cells may explain the poor outcomes in elderly patients and that cytomegalovirus infection is a potential factor affecting CD8+ T cell immunity against SARS-CoV-2. Thus, this study provides insights for developing effective therapeutic and vaccination strategies for the elderly.
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Affiliation(s)
- Norihide Jo
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.,Alliance Laboratory for Advanced Medical Research, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Rui Zhang
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Hideki Ueno
- Department of Immunology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.,Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
| | - Takuya Yamamoto
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.,Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
| | - Daniela Weiskopf
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, United States
| | - Miki Nagao
- Department of Clinical Laboratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shinya Yamanaka
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.,Gladstone Institute of Cardiovascular Disease, San Francisco, CA, United States
| | - Yoko Hamazaki
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.,Laboratory of Immunobiology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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50
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Takasugi M, Yoshida Y, Ohtani N. Cellular senescence and the tumor microenvironment. Mol Oncol 2022; 16:3333-3351. [PMID: 35674109 PMCID: PMC9490140 DOI: 10.1002/1878-0261.13268] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/16/2022] [Accepted: 06/07/2022] [Indexed: 12/04/2022] Open
Abstract
The senescence‐associated secretory phenotype (SASP), where senescent cells produce a variety of secreted proteins including inflammatory cytokines, chemokines, matrix remodelling factors, growth factors and so on, plays pivotal but varying roles in the tumour microenvironment. The effects of SASP on the surrounding microenvironment depend on the cell type and process of cellular senescence induction, which is often associated with innate immunity. Via SASP‐mediated paracrine effects, senescent cells can remodel the surrounding tissues by modulating the character of adjacent cells, such as stromal, immune cells, as well as cancer cells. The SASP is associated with both tumour‐suppressive and tumour‐promoting effects, as observed in senescence surveillance effects (tumour‐suppressive) and suppression of anti‐tumour immunity in most senescent cancer‐associated fibroblasts and senescent T cells (tumour‐promoting). In this review, we discuss the features and roles of senescent cells in tumour microenvironment with emphasis on their context‐dependency that determines whether they promote or suppress cancer development. Potential usage of recently developed drugs that suppress the SASP (senomorphics) or selectively kill senescence cells (senolytics) in cancer therapy are also discussed.
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Affiliation(s)
- Masaki Takasugi
- Department of Pathophysiology, Graduate School of Medicine Osaka Metropolitan University Osaka Japan
| | - Yuya Yoshida
- Department of Pathophysiology, Graduate School of Medicine Osaka Metropolitan University Osaka Japan
| | - Naoko Ohtani
- Department of Pathophysiology, Graduate School of Medicine Osaka Metropolitan University Osaka Japan
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