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      Emergence of T cell immunosenescence in diabetic chronic kidney disease

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          Abstract

          Background

          Type 2 diabetes is an important challenge given the worldwide epidemic and is the most important cause of end-stage renal disease (ESRD) in developed countries. It is known that patients with ESRD and advanced renal failure suffer from immunosenescence and premature T cell aging, but whether such changes develop in patients with less severe chronic kidney disease (CKD) is unclear.

          Method

          523 adult patients with type 2 diabetes were recruited for this study. Demographic data and clinical information were obtained from medical chart review. Immunosenescence, or aging of the immune system was assessed by staining freshly-obtained peripheral blood with immunophenotyping panels and analyzing cells using multicolor flow cytometry.

          Result

          Consistent with previously observed in the general population, both T and monocyte immunosenescence in diabetic patients positively correlate with age. When compared to diabetic patients with preserved renal function (estimated glomerular filtration rate > 60 ml/min), patients with impaired renal function exhibit a significant decrease of total CD3 + and CD4 + T cells, but not CD8 + T cell and monocyte numbers. Immunosenescence was observed in patients with CKD stage 3 and in patients with more severe renal failure, especially of CD8 + T cells. However, immunosenescence was not associated with level of proteinuria level or glucose control. In age, sex and glucose level-adjusted regression models, stage 3 CKD patients exhibited significantly elevated percentages of CD28 , CD127 , and CD57 + cells among CD8 + T cells when compared to patients with preserved renal function. In contrast, no change was detected in monocyte subpopulations as renal function declined. In addition, higher body mass index (BMI) is associated with enhanced immunosenescence irrespective of CKD status.

          Conclusion

          The extent of immunosenescence is not significantly associated with proteinuria or glucose control in type 2 diabetic patients. T cells, especially the CD8 + subsets, exhibit aggravated characteristics of immunosenescence during renal function decline as early as stage 3 CKD. In addition, inflammation increases since stage 3 CKD and higher BMI drives the accumulation of CD8 +CD57 + T cells. Our study indicates that therapeutic approaches such as weight loss may be used to prevent the emergence of immunosenescence in diabetes before stage 3 CKD.

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          Most cited references38

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          IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040.

          To produce current estimates of the national, regional and global impact of diabetes for 2015 and 2040.
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            Inflammaging: a new immune–metabolic viewpoint for age-related diseases

            Ageing and age-related diseases share some basic mechanistic pillars that largely converge on inflammation. During ageing, chronic, sterile, low-grade inflammation - called inflammaging - develops, which contributes to the pathogenesis of age-related diseases. From an evolutionary perspective, a variety of stimuli sustain inflammaging, including pathogens (non-self), endogenous cell debris and misplaced molecules (self) and nutrients and gut microbiota (quasi-self). A limited number of receptors, whose degeneracy allows them to recognize many signals and to activate the innate immune responses, sense these stimuli. In this situation, metaflammation (the metabolic inflammation accompanying metabolic diseases) is thought to be the form of chronic inflammation that is driven by nutrient excess or overnutrition; metaflammation is characterized by the same mechanisms underpinning inflammaging. The gut microbiota has a central role in both metaflammation and inflammaging owing to its ability to release inflammatory products, contribute to circadian rhythms and crosstalk with other organs and systems. We argue that chronic diseases are not only the result of ageing and inflammaging; these diseases also accelerate the ageing process and can be considered a manifestation of accelerated ageing. Finally, we propose the use of new biomarkers (DNA methylation, glycomics, metabolomics and lipidomics) that are capable of assessing biological versus chronological age in metabolic diseases.
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              Markers of Inflammation and Cardiovascular Disease: Application to Clinical and Public Health Practice: A Statement for Healthcare Professionals From the Centers for Disease Control and Prevention and the American Heart Association

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                Author and article information

                Contributors
                chuangy@ym.edu.tw
                Journal
                Immun Ageing
                Immun Ageing
                Immunity & Ageing : I & A
                BioMed Central (London )
                1742-4933
                20 October 2020
                20 October 2020
                2020
                : 17
                : 31
                Affiliations
                [1 ]GRID grid.413050.3, ISNI 0000 0004 1770 3669, Graduate Program in Biomedical Informatics, Department of Computer Science and Engineering, , College of Informatics, Yuan Ze University, ; Taoyuan, Taiwan
                [2 ]GRID grid.414746.4, ISNI 0000 0004 0604 4784, Division of Nephrology, Department of Medicine, , Far Eastern Memorial Hospital, ; New Taipei City, Taiwan
                [3 ]GRID grid.19188.39, ISNI 0000 0004 0546 0241, Graduate Institute of Clinical Medicine, , National Taiwan University College of Medicine, ; Taipei, Taiwan
                [4 ]Center for General Education, Lee-Ming Institute of Technology, New Taipei City, Taiwan
                [5 ]GRID grid.19188.39, ISNI 0000 0004 0546 0241, Graduate Institute of Immunology, , National Taiwan University College of Medicine, ; Taipei, Taiwan
                [6 ]GRID grid.412094.a, ISNI 0000 0004 0572 7815, Department of Medicine, , National Taiwan University Hospital Yun Lin Branch, ; Douliu, Taiwan
                [7 ]GRID grid.445078.a, ISNI 0000 0001 2290 4690, School of Big Data Management, , Soochow University, ; Taipei, Taiwan
                [8 ]GRID grid.414746.4, ISNI 0000 0004 0604 4784, Division of Endocrinology and Metabolism, Department of Medicine, , Far Eastern Memorial Hospital, ; New Taipei City, Taiwan
                [9 ]Department of Applied Cosmetology, Lee-Ming Institute of Technology, New Taipei City, Taiwan
                [10 ]GRID grid.452650.0, ISNI 0000 0004 0532 0951, Department of Healthcare Administration, , Oriental Institute of Technology, ; New Taipei City, Taiwan
                [11 ]GRID grid.260770.4, ISNI 0000 0001 0425 5914, Institute of Public Health, , School of Medicine, National Yang-Ming University, ; Taipei, Taiwan
                Article
                200
                10.1186/s12979-020-00200-1
                7574244
                33088331
                0ceb1aa0-25cc-4fd6-a865-14c87fd978a3
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 17 December 2019
                : 17 September 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004663, Ministry of Science and Technology, Taiwan;
                Award ID: 106-2314-B-418-008-MY3
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Immunology
                immunosenescence,ckd,t cell,diabetes,bmi
                Immunology
                immunosenescence, ckd, t cell, diabetes, bmi

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