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REVIEW article

Front. Immunol., 31 January 2020
Sec. Alloimmunity and Transplantation
This article is part of the Research Topic Transplantation of Marginal Organs: Immunological Aspects and Therapeutic Perspectives View all 17 articles

Transplantation of Marginal Organs: Immunological Aspects and Therapeutic Perspectives in Kidney Transplantation

\nJohan Noble,Johan Noble1,2Thomas Jouve,Thomas Jouve1,2Paolo MalvezziPaolo Malvezzi1Caner SüsalCaner Süsal3Lionel Rostaing,
Lionel Rostaing1,2*
  • 1Service de Néphrologie, Hémodialyse, Aphéréses et Transplantation Rénale, Centre Hospitalier Universitaire (CHU) de Grenoble-Alpes, Grenoble, France
  • 2Université Grenoble Alpes, Grenoble, France
  • 3Collaborative Transplant Study, Institute of Immunology, Heidelberg University, Heidelberg, Germany

Recent data from the World Population Prospects projects that, by 2050, nearly all regions in the world will have a quarter or more of the population aged 60 and above. Chronic kidney disease (CKD) has a high global prevalence (~13%) worldwide, and the prevalence of chronic kidney disease and end-stage kidney disease increase with age. Kidney transplantation remains the best therapeutic option for end-stage kidney disease, offering a survival benefit in comparison with dialysis maintenance for most patients. This review focuses on immunological aspects of kidney transplantation in older patients and marginal donors, i.e., 60 years or older deceased kidney donors or 50–59 years old deceased kidney donors with comorbidities. Clinical outcomes of kidney recipients in terms of renal and patient survival are more than acceptable even for patients over 70. In this population, the first cause of graft loss is death with a functional graft. However, the inherent issues of these transplantations are the acceptance or refusal of frail kidney from an old donor and the increased immunogenicity of these organs in balance with potential frail and immunosenescent recipients. Finally, the immunosuppressive regimen itself is a challenge for the future of the transplant, to prevent adverse effects such as nephrotoxicity and higher risk of infections or cancer in a population already at risk. Belatacept may have a good place in the immunosuppressive strategy to improve efficacy and the safety posttransplantation.

Introduction

Chronic kidney disease (CKD) has a high global prevalence worldwide. The prevalence of CKD and end-stage kidney disease (ESKD) increase with age: 27.6% between 60 and 70 years old and 34.3% above 70 years old when taking into account the five stages of CKD (1).

Kidney transplantation is the best therapeutic option for ESKD. Results of kidney transplantation in terms of morbidity and mortality, life quality, and cost effectiveness are better as compared to hemodialysis or peritoneal dialysis (2). However, kidney transplantation, as well as all other solid organ transplantations, is confronted with an organ shortage. To increase the pool of organ donors, the American United Network for Organ Shortage decided to accept organs from Extended Criteria Donors (ECD). The term marginal kidney was replaced by ECD kidney for the first time in 1997 by Kauffman (3). In 2002, a clear definition was given: ECD are defined by deceased donors aged 60 years or older and 50–59 years old deceased donors with at least two of the three following criteria: cerebrovascular cause of death, terminal serum creatinine higher than 1.5 mg/dl (132.6 μmol/L), or history of hypertension (4, 5). Other definitions and aspects of “marginal kidneys” have been studied by different authors such as kidney fibrosis based on histopathology, dual kidney transplantation, donation after cardiac death (DCD), and discarded kidneys (69). In 2019, in Europe, ~30% of potential donors are ECD. In North America, ~24% of potential donors are ECD, and nearly 40% of these kidneys are discarded each year (10). ECD kidneys do not follow the classical allocation system of standard kidneys and allow to shorten the time on waiting list at the expense of a better graft (1113).

Mechanisms of Organ Aging

Aging has been described as the decline of physiological integrity due to an accumulation of damages, deterioration of proteins, and organelle functions (14). We use the term of senescence to relate biological and functional changes in cells due to aging. Senescence, which is a state of permanent cellular cycle arrest, may occur following a decline over time of cell proliferation capacity as shown by Hayflick (15). Different stimuli may trigger this cellular phenotype such as cells undergoing major DNA damages, telomere dysfunction, and oxidative stress (16). To prevent the risk of malignant transformation, cells may undergo apoptosis, or become senescent. The senescent state is mediated by two cellular pathways: p53/p21 and p16INK4a/pRB pathways (17). This phenotype is also a proinflammatory phenotype, with a high level of inflammatory cytokines and chemokines secretion [e.g., interleukin (IL)-6, IL-8, IL-1]. This induces chronic inflammation in the organs (18).

Senescence in renal cells may be described at different levels using a top–down approach. At a genetic level, Kim et al. described a set of age-related genes (985) in kidneys in 74 healthy patients from 27 to 92 years old (19). Most of these genes showed increased activity and were shared both in the kidney medulla and cortex. Those age-related genes were also shared in other human tissues. These genes involved in kidney aging are for instance the mortalin-2, which encodes the heat shock protein 70. Other genes prevent kidney aging, such as the one encoding the insulin-like growth factor receptor. However, it is unclear if senescence and age-related genes activations in the organs are genetically or epigenetically inherited. A recent study assessed aging signature in 563 human kidney transcriptomes using next generation RNA sequencing correlated with genomic data and epigenomic data in kidney and non-renal tissues. Finally, the authors identified a total of 19 kidney age-related genes. Five of them were kidney specific (EDH3, ERP27, MAP4, PPPAR3C, and SNX24). However, these results are preliminary, and to our knowledge, no other team have reproduced this association. Ten of them were associated with biological and clinical signs of aging. Testis-specific Y-like 5 (TSPYL5) was the gene with the most significant association with aging (20). TSPYL5 is one of the nucleosome proteins and plays a role in transcriptional regulation, cell cycle, and probably in cellular senescence (21, 22).

At a molecular level, many mechanisms of kidney aging have been described and well-reported in the review published by López-Otín et al. (14). One of them implies autophagy dysregulation. Autophagy is a physiological process in which cytoplasmic proteins and organelles are non-selectively degraded. Autophagy is critical for terminally differentiated podocytes that are rarely renewed. Autophagy dysregulation results in the accumulation of intracytoplasmic proteins. This eventually results in podocyte degeneration, responsible for age-related glomerulosclerosis and proteinuria (23). Another mechanism of kidney aging is the mitochondrial dysfunction theory causing overproduction of reactive oxygen species, oxidative stress, and age-related damages (24).

At a structural level, aging is related to renal anatomic alterations. Main changes observed in aging kidney are sclerosis (focal and global glomerulosclerosis, tubular atrophy and interstitial fibrosis, arteriosclerosis), nephron hypertrophy, and decline in the number of functional nephrons (25, 26). These modifications lead to renal mass decrease of ~10% per decade and decrease in plasma flow and tubular damages (27). The majority of renal cells are permanently renewed, but podocytes have a limited capacity of regeneration due to their terminally differentiation (28, 29). Podocyte senescence largely contributes to renal aging. The cortex shrinks and the medulla increase in size, with an increased number of renal cysts (30).

At a clinical level, aging leads to glomerular filtration rate (GFR) decline. It has been estimated that, after the fourth decade, a decline of GFR occurs that ranges between 0.63 and 0.75 ml/min/year with kidney aging (26, 31). However, nephrosclerosis and cortical atrophy failed to explain the entirety of the GFR decrease with age (25).

Immunological Aspect of Aging in Kidney Transplant Recipients

Aging, in the immunological field, is associated with the concept of immunosenescence, which was based on the clinical reports of a higher incidence of infection and cancer and a lower efficacy of vaccination in older people (32). In the field of kidney transplantation, older age of recipients is associated with a lower risk of acute rejection as compared to younger recipients (33). The leading cause of death in old recipient is infection, and death is the leading cause of graft loss (34). Moreover, Mendonça et al. reported a rate of 37.6% of acute rejection in younger recipients (<60 years old) as compared to 22.7% in older (≥60 years old; p = 0.01), after a median time of 22 months of follow-up (35). In larger cohorts, it has been shown that the absolute risk of acute rejection decreases for each decade of recipient age (36).

On top of aging, kidney transplant recipients suffer from CKDs and ESKD before transplantation. ESKD itself is associated with a higher risk of infections and virus-related cancers as compared to the general population of the same age. In the general population, the absolute rate of cancer mortality increases with age. However, on the contrary, in kidney transplant patients, the excess risk of cancer-related death decreases with age as compared to the general population. Over 65 years, the absolute risk of cancer-related death is 1.7-fold increased in kidney-transplanted recipients as compared to same age non-transplanted population (37). The mechanism of accelerated immunosenescence in ESKD patients is not clearly understood, but some mechanisms have been assumed: chronic inflammation, oxidative stress, cytomegalovirus (CMV) infection, and epigenetics modifications (38, 39).

The T-cell receptor (TCR) repertoire allows the adaptive immune system to recognize a large number of foreign antigens. The TCR β repertoire is known to decrease almost linearly with age, decreasing from 6.4 × 105 TRBV CDR3 clone types per 106 T cells at the age of 16 years to 3.1 × 105 at the age of 62 years. Although the absolute and relative numbers of total CD3+ cells do not differ with age, the percentages of naive CD8+ and CD4+ cells decrease with age (40). Huang et al. assessed the factors that may accelerate the TCR β repertoire contraction. They showed that age, CMV infection, and ESKD were significantly and independently associated with a shrinking of the TCR β repertoire (41). The impact of age on the TCR β repertoire concerned only the CD8+ memory T-cell subset but not the naive T-cell subset.

Other immune cell compartments appear to be affected by aging (42). Impaired B-cells proliferation and antibodies production have been reported. The hypothesis put forward may be IL-2 lower production or T-cell/B-cell interaction dysfunction through CD28 downregulation (43, 44). On contrary, immunosenescence is associated with an increase in cytotoxic natural killer cells capacity with aging. Indeed, some authors reported a decrease in CD56bright subset and an increase in CD56dim subset of natural killer cells, which may play a role in graft antibody-mediated rejection (45).

ESKD also seems to impact the absolute and relative number of different immune cell subsets. Betjes et al. showed that ESKD was associated with a premature immune system aging, i.e., a lower CD31+ naive T-cell number as compared to age-matched healthy individuals and a higher percentage of terminally differentiated activated memory CD8+ T cells (TEMRA cells) (46). ESKD patients may experience an overinduced apoptosis of naive T cells and an insufficient increase in thymic output and compensating proliferation as compared to same aged healthy individuals (46). Chiu et al. demonstrated how ESKD may accelerate immunosenescence. Indeed, they showed that not only CD8+ TEMRA cell frequency was higher in ESKD patients as compared to healthy individuals but also, in multivariate analysis, the level of this senescent phenotype positively correlated with dialysis duration and uremic toxin p-cresyl sulfate (47).

Modality of ESKD treatment also impacts immunosenescence as hemodialysis was shown to be associated with a higher level of inflammation as compared to peritoneal dialysis. The chronic inflammation and lymphocyte-sustained activation generated in these patients may accelerate immunosenescence by recruiting new T cells, promote stem cell exhaustion, and explain the lower incidence of observed acute rejection in hemodialysis patients, as compared to peritoneal dialysis patients, before transplantation (39).

The impact of CMV infection on the adaptive immune system homeostasis and immunosenescence is reported in many studies. First, CMV latency is associated with a specific anti-CMV CD8+ T-cell repertoire expansion. In healthy donors, using CMV peptides–HLA tetrameric complexes, it has been shown that this subpopulation may reach 10% of CD8+ T-cell compartment (48, 49). Posttransplantation, this percentage may reach 18% (50). This unbalanced expansion due to CMV is considered to be detrimental to the immune system of individuals. Similarly, to ESKD, CMV infection, and/or latency are associated with a decrease in naive CD8+ T cells and an accumulation of TEMRA cells. Yang et al. showed that a higher anti-CMV IgG level is associated with a lower percentage of total CD4+ and CD8+ T cells but a higher percentage of CCR7-CD45RA T cells (TEMRA cells) in hemodialysis patients (51). These results were comparable to those found in kidney transplant recipients under immunosuppressive regimen. CMV drives a CD8+ T-cell expansion especially CD8+CD28 null and TEMRA CD8+ T cells (52).

Finally, in older transplant recipients, Schaenman et al. showed a decreased number of naive CD4+ and naive CD8+ T cells and an increased number of TEMRA cells and senescent KLRG1+ T cells as compared to younger recipients (53).

Immunological Aspect of Aging in Kidney Transplant Donors

Donor age appears to be an important prognostic factor of long-term outcome after kidney transplantation (54). Nevertheless, the donor age criteria may be misleading when assessed alone (55). In contrast with older recipients, older donors are likely to be more immunogenic. In experimental data, T cells of rats receiving an old graft express a higher level of IFN-γ as compared to those receiving a younger graft. This difference was associated with an accelerated chronic allograft dysfunction (56). de Fijter et al. assessed in a large cohort of kidney transplant recipients the risk factors of acute rejection (57). In a multivariate analysis, donor age ≥50 years old, recipient age <50 years old, and HLA-DR mismatches were significantly associated with a higher risk of acute rejection (risk ratio = 1.53, 1.34, and 2.28 respectively). Interestingly, the risk of acute rejection in older donors was independent of recipient age suggesting other mechanisms than immunosenescence involved.

Aged kidneys have an increased susceptibility to ischemia–reperfusion injury (IRI). The presence of senescent cells in older kidney may result in a reduced tissue regeneration and chronic low level of inflammation. Different mechanisms may explain the reduced tolerance to IRI: impairment of mitochondrial functions which results in a decrease in antioxidant defenses, reduced expression of heat shock protein-70 involved in transmitochondrial transport, and telomere shortening contributing to the increase in the process of senescence (58). Conversely, IRI like hypertension was shown to increase the level of senescence in donor kidney (59).

In the end, the increased level of inflammation and edema induced by IRI in aged kidneys is the root of a stronger immune response. Indeed, antigen-presenting capacities of dendritic cells seem to increase with age (60). Nevertheless, regarding dendritic cell functions in aging, little is known currently and data in the literature are controversial (61, 62). Moreover, it was shown that, after acute tubular necrosis, there is an increased expression of HLA molecules in tubular cells and accumulation of inflammatory cells (63). Clinically, delayed graft function induced by IRI is associated with a 38% increased risk of acute rejection (64). The impact of IRI on ECD kidneys is significant, and those kidney benefit from machine of perfusion with a lower rate of delayed graft function and higher kidney survival rate as compared to cold storage (65, 66).

Clinical Results in Recipients of Marginal Kidneys

Since the proportions of older patients on the waiting list and ECD have largely increased, many studies assessed the benefit of kidney transplantation in these populations. First, transplantation with kidney from ECD has been associated with a higher survival rate as compared to maintenance of the waiting list in >60 years old recipients (67). In this European study, the 5-year survival rate was 83.6% for recipients of ECD kidney as compared to 67.4% for patients who remained on the waiting list. Recipient's age was the major predictive risk factor of mortality in the early- and late-period posttransplantation with time on dialysis before transplantation and diabetes mellitus (68, 69).

Only few studies assessed the long-term results of recipients receiving a kidney graft from ECD as compared to standard criteria donors (SCDs) (70). In 2015, Aubert et al. assessed the long-term results of graft survival between ECD and SCD in 2,763 recipients in a French cohort and in a validation cohort. ECD was associated with a lower graft survival [hazard ratio (HR) = 1.87 (1.50–2.32), p < 0.001] as compared to SCD at 7 years posttransplantation. In the multivariate Cox analysis, ECD, cold ischemia, and presence of donor-specific alloantibodies (DSA) at transplantation were significantly associated with kidney allograft loss. The model was adjusted on donor type (deceased vs. living), presence of diabetes in donor, graft rank, and number of HLA-A/B/DR mismatches (71). Recipients of ECD with circulating DSAs at the time of transplantation had the worse kidney graft outcome with a 4.4-fold increased risk of graft loss as compared to those without DSA.

In 2016, Querard et al. conducted a meta-analysis to assess the results of ECD transplantation. From 29 studies, they estimated the non-adjusted pooled risk ratio of patient survival at 5 years at 1.62 (1.18–2.22) and of death-censored graft loss at 1.69 (1.18–2.34) in favor of SCD as compared to ECD (72). The results largely came from North America studies. Moreover, only a very small number of studies were adjusted with usual confounders. In Europe, the non-adjusted pooled risk ratios were lower than in North America.

Van Ittersum et al. published the results of 3,062 kidney recipients after 7.8 years of follow-up in a European population (73). Six hundred nineteen recipients received an ECD kidney, and 2,443 received a SCD kidney. Recipients from deceased ECD donors had a higher risk of death-censored graft failure [HR = 1.92 (1.63–2.26)] and death [HR = 1.45 (1.26–1.67)] as compared to other recipients (deceased donors with SCD criteria and living donors). At 10 years, ECD criteria was associated with an absolute risk of 16.9% for graft lost and 10.1% for death, as compared to SCD. In a subgroup analysis of recipients of the same study, DCD with ECD criteria had the lower graft and patient survival prognosis. Tomita et al. specifically studied ECD after DCD and did not find an increased overall risk of graft loss as compared to SCD. However, the risk of death-censored graft loss was higher in older ECD and donors with an history of hypertension or cerebrovascular events (74).

However, some published data report excellent results with ECD transplantation as compared to SCD. In the study of Palkoci et al. 50 ECD were compared to 107 ECD kidney recipients. At 1 year, the rate of acute rejection was not statistically different, and at 5 years, the death-censored survival rate was not different (92%, P = 0.884) in both groups (75). Another study conducted by Kim et al., which included 42 ECD and 364 SCD, showed higher serum creatinine level at 12 months in ECD, but the survival rate was similar as compared to SCD (76).

Therapeutic Strategies in ECD Kidney Transplantation

Different immunosuppressive strategies in ECD recipients may be discussed (Table 1). The goal in ECD is to reduce not only the incidence of infections and cancers but also acute rejection in this at-risk population. In induction therapy, rabbit antithymocyte globulin (rATG) has shown lower risk of acute rejection as compared to IL-2 receptor antagonists without an increased risk of death in older recipients and high-risk kidney such as ECD (86). Steroids maintenance or withdrawal has to be weighed between the higher risk of acute rejection and the risk of side effects in older patients. It was shown that an early steroid withdrawal at the time of first discharge posttransplantation was associated with a better adjusted overall graft survival [HR = 1.32 (1.1–1.56), P = 0.002) and patient survival [HR = 1.46 (1.16–1.83), P = 0.001] but not death-censored graft survival. In a subgroup analysis, these results were confirmed only in the T-cell-depleting induction treatment (thymoglobulin) group but not in the IL-2 receptor blocker (Basiliximab) group (87).

TABLE 1
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Table 1. Study characteristics of trials evaluating immunosuppressive regimen in expanded criteria donors.

In the field of kidney transplantation, clinicians seek intensively for new immunosuppressive regimens to avoid calcineurin inhibitors (CNIs) nephrotoxicity. In 2011, the US Food and Drug Administration approved the use of belatacept. This drug is a fusion protein that bind CD80/86 onto antigen-presenting cells and thereby blocks effector T cells by preventing interactions with CD28 (88). In the BENEFIT-EXT trial, 543 ECD recipients received either cyclosporine- or belatacept-based regimen (80). At 7 years posttransplantation, mean estimated GFR was 53.9 ± 1.9, 54.2 ± 1.9, and 35.3 ± 2.0 ml/min per 1.73 m2 for belatacept more intensive, belatacept less intensive, and cyclosporine groups, respectively (P < 0.001). This showed the benefit of avoiding CNI nephrotoxicity in those kidneys. Death-censored graft loss and patient survival was similar in all groups except for a higher incidence of posttransplant lymphoproliferative disorders in EBV-negative recipients treated by belatacept. Posttransplantation switch from CNI to belatacept within the first 6 months also seems efficient to improve renal graft function from ECD (89). Mammalian target of rapamycin (mTOR) inhibitors may also be a valuable option to avoid CNI nephrotoxicity, but large randomized and controlled studies are missing (90). Most of non-randomized studies showed acceptable results of graft survival and rejection rate with sirolimus or everolimus in CNI minimization strategies (86). Yet, the benefit of mTOR inhibitors as compared to mycophenolate in ECD patients is controversial (91). Indeed, despite a lower incidence of CMV infection/disease, Ferreira et al. study was prematurely terminated due to a higher incidence of acute rejection, graft loss, and death in the mTOR inhibitor group, i.e., tacrolimus + everolimus as compared to tacrolimus + MPA (85).

Despite all these clinical results of ECD vs. SCD, kidney transplantation with ECD remains a valuable option. Indeed, in North America, Ojo et al. showed that ECD transplantation improve patient survival over maintenance dialysis treatment with an increase of 5 years in life expectancy (92). These results were consistent in the European population (67).

Risk Stratification

In 2009, Rao et al. published the kidney donor risk index based on the Scientific Registry of Transplant recipients in the North American population (93). The kidney donor risk index appears to be an interesting tool to stratify the risk and estimate outcomes posttransplantation based on 14 donor and transplant factors associated with death and graft failure. This score is currently used in the United States to allocate kidney graft for single kidney transplantation or dual kidney transplantation (94). KDPI score was assessed also in European cohorts of high-risk donor–recipient pairs and was efficient to improve the graft outcome prediction (95).

In Europe, the Eurotransplant senior program (ESP) was created to improve transplant allocation and shorten the time on waiting list. It was designed to allocate kidney from ≥65 years old donors to ≥65 years old recipients regardless of HLA matching but with a focus on reducing the cold ischemia time (96). Frei et al. published the 5-year results of the ESP and showed that death-censored graft survival of ESP patients was similar when compared to old donor giving to other any recipients (67% survival) but was lower as compared to any aged donor giving to old recipients (81%). These results were obtained at the price of higher incidence of acute rejection (97). Results from the Dutch Organ Transplant Registry, which is part of Eurotransplant and ESP, showed a 5-year death censored graft survival of 83.8% in DBD and 75.3% in DCD (98). In this old recipient population, delayed graft function was a strong risk factor of death (+40% risk) and of rejection (+57%) and DSA development (99).

Conclusions and Perspectives

Kidney transplantation of “marginal donors” to old recipients implies different specificities: immunosenescence of recipients and higher risk of complications (i.e., infections and cancers), higher immunogenic response of older kidneys and increased susceptibility to IRI, and worse outcome than SCD kidneys. Nevertheless, older patients still benefit from transplantation rather than remaining in the waiting list. New immunosuppressive regimens and strategies such as costimulation blockade, early steroids withdrawal, and CNI minimization strategies may be useful to improve patient and renal outcomes in ECD recipients. The goal in the future will be to minimize CNI-associated toxicity such as nephrotoxicity, cardiovascular morbidity and mortality, and malignancy in the particular population of ECD recipients. To achieve this goal, we need to improve the risk stratification before clinicians allocate a kidney from ECD to an old recipient. New randomized studies need to be done in ECD transplantation.

Author Contributions

JN performed most of the literature search and wrote the manuscript. TJ, PM, and CS contributed to the literature search and carefully read the manuscript. LR finalized the manuscript.

Conflict of Interest

The authors declare that the review was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

1. Hill NR, Fatoba ST, Oke JL, Hirst JA, O'Callaghan CA, Lasserson DS, et al. Global prevalence of chronic kidney disease - a systematic review and meta-analysis. PLoS ONE. (2016) 11:e0158765. doi: 10.1371/journal.pone.0158765

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Collins AJ, Foley RN, Gilbertson DT, Chen S-C. United States renal data system public health surveillance of chronic kidney disease and end-stage renal disease. Kidney Int Suppl. (2015) 5:2–7. doi: 10.1038/kisup.2015.2

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Kauffman HM, McBride MA, Rosendale JD, Ellison MD, Daily OP, Wolf JS. Trends in organ donation, recovery and disposition: UNOS data for 1988-1996. Transplant Proc. (1997) 29:3303–4. doi: 10.1016/S0041-1345(97)82926-0

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Port FK, Bragg-Gresham JL, Metzger RA, Dykstra DM, Gillespie BW, Young EW, et al. Donor characteristics associated with reduced graft survival: an approach to expanding the pool of kidney donors. Transplantation. (2002) 74:1281–6. doi: 10.1097/00007890-200211150-00014

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Rosengard BR, Feng S, Alfrey EJ, Zaroff JG, Emond JC, Henry ML, et al. Report of the Crystal City meeting to maximize the use of organs recovered from the cadaver donor. Am J Transplant Off. (2002) 2:701–11. doi: 10.1034/j.1600-6143.2002.20804.x

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Anglicheau D, Loupy A, Lefaucheur C, Pessione F, Létourneau I, Côté I, et al. A simple clinico-histopathological composite scoring system is highly predictive of graft outcomes in marginal donors. Am J Transplant Off. (2008) 8:2325–34. doi: 10.1111/j.1600-6143.2008.02394.x

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Dahmane D, Audard V, Hiesse C, Pessione F, Bentaarit B, Barrou B, et al. Retrospective follow-up of transplantation of kidneys from “marginal” donors. Kidney Int. (2006) 69:546–52. doi: 10.1038/sj.ki.5000102

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Snanoudj R, Rabant M, Timsit MO, Karras A, Savoye E, Tricot L, et al. Donor-estimated GFR as an appropriate criterion for allocation of ECD kidneys into single or dual kidney transplantation. Am J Transplant Off. (2009) 9:2542–51. doi: 10.1111/j.1600-6143.2009.02797.x

CrossRef Full Text | Google Scholar

9. Rao PS, Ojo A. The alphabet soup of kidney transplantation: SCD, DCD, ECD–fundamentals for the practicing nephrologist. Clin J Am Soc Nephrol CJASN. (2009) 4:1827–31. doi: 10.2215/CJN.02270409

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Aubert O, Kamar N, Vernerey D, Viglietti D, Martinez F, Duong-Van-Huyen J-P, et al. Long term outcomes of transplantation using kidneys from expanded criteria donors: prospective, population based cohort study. BMJ. (2015) 351:h3557. doi: 10.1136/bmj.h3557

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Hart A, Smith JM, Skeans MA, Gustafson SK, Wilk AR, Robinson A, et al. OPTN/SRTR 2016 annual data report: kidney. Am J Transplant Off J Am Soc Transplant. (2018) 18 Suppl 1:18–113. doi: 10.1111/ajt.14557

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Metzger RA, Delmonico FL, Feng S, Port FK, Wynn JJ, Merion RM. Expanded criteria donors for kidney transplantation. Am J Transplant. (2003) 3(Suppl 4):114–25. doi: 10.1034/j.1600-6143.3.s4.11.x

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Sung RS, Guidinger MK, Leichtman AB, Lake C, Metzger RA, Port FK, Merion, et al. Impact of the expanded criteria donor allocation system on candidates for and recipients of expanded criteria donor kidneys. Transplantation. (2007) 84:1138–44. doi: 10.1097/01.tp.0000287118.76725.c1

PubMed Abstract | CrossRef Full Text | Google Scholar

14. López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. The hallmarks of aging. Cell. (2013) 153:1194–217. doi: 10.1016/j.cell.2013.05.039

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Hayflick L. The limited in vitro lifetime of human diploid cell strains. Exp Cell Res. (1965) 37:614–36. doi: 10.1016/0014-4827(65)90211-9

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Campisi J. Aging, cellular senescence, and cancer. Annu Rev Physiol. (2013) 75:685–705. doi: 10.1146/annurev-physiol-030212-183653

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Campisi J, Robert L. Cell senescence: role in aging and age-related diseases. Interdiscip Top Gerontol. (2014) 39:45–61. doi: 10.1159/000358899

PubMed Abstract | CrossRef Full Text | Google Scholar

18. van Willigenburg H, de Keizer PLJ, de Bruin RWF. Cellular senescence as a therapeutic target to improve renal transplantation outcome. Pharmacol Res. (2018) 130:322–30. doi: 10.1016/j.phrs.2018.02.015

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Rodwell GEJ, Sonu R, Zahn JM, Lund J, Wilhelmy J, Wang L, et al. A transcriptional profile of aging in the human kidney. PLoS Biol. (2004) 2:e427. doi: 10.1371/journal.pbio.0020427

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Rowland J, Akbarov A, Eales J, Xu X, Dormer JP, Guo H, et al. Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics. Kidney Int. (2019) 95:624–635. doi: 10.1016/j.kint.2018.10.029

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Epping MT, Meijer LAT, Krijgsman O, Bos JL, Pandolfi PP, Bernards R. TSPYL5 suppresses p53 levels and function by physical interaction with USP7. Nat Cell Biol. (2011) 13:102–8. doi: 10.1038/ncb2142

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Kumar SR, Bryan JN, Esebua M, Amos-Landgraf J, May TJ. Testis specific Y-like 5: gene expression, methylation and implications for drug sensitivity in prostate carcinoma. BMC Cancer. (2017) 17:158. doi: 10.1186/s12885-017-3134-7

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Huber TB, Edelstein CL, Hartleben B, Inoki K, Jiang M, Koya D, et al. Emerging role of autophagy in kidney function, diseases and aging. Autophagy. (2012) 8:1009–31. doi: 10.4161/auto.19821

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Hiona A, Sanz A, Kujoth GC, Pamplona R, Seo AY, Hofer T, et al. Mitochondrial DNA mutations induce mitochondrial dysfunction, apoptosis and sarcopenia in skeletal muscle of mitochondrial DNA mutator mice. PLoS ONE. (2010) 5:e11468. doi: 10.1371/journal.pone.0011468

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Denic A, Glassock RJ, Rule AD. Structural and functional changes with the aging kidney. Adv Chronic Kidney Dis. (2016) 23:19–28. doi: 10.1053/j.ackd.2015.08.004

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Rule AD, Amer H, Cornell LD, Taler SJ, Cosio FG, Kremers WK, et al. The association between age and nephrosclerosis on renal biopsy among healthy adults. Ann Intern Med. (2010) 152:561–7. doi: 10.7326/0003-4819-152-9-201005040-00006

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Esposito C, Dal Canton A. Functional changes in the aging kidney. J Nephrol. (2010) 23(Suppl 15):S41–5.

PubMed Abstract | Google Scholar

28. Ronconi E, Sagrinati C, Angelotti ML, Lazzeri E, Mazzinghi B, Ballerini L, et al. Regeneration of glomerular podocytes by human renal progenitors. J Am Soc Nephrol. (2009) 20:322–32. doi: 10.1681/ASN.2008070709

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Wharram BL, Goyal M, Wiggins JE, Sanden SK, Hussain S, Filipiak WE, et al. Podocyte depletion causes glomerulosclerosis: diphtheria toxin-induced podocyte depletion in rats expressing human diphtheria toxin receptor transgene. J Am Soc Nephrol. (2005) 16:2941–52. doi: 10.1681/ASN.2005010055

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Wang X, Vrtiska TJ, Avula RT, Walters LR, Chakkera HA, Kremers WK, et al. Age, kidney function, and risk factors associate differently with cortical and medullary volumes of the kidney. Kidney Int. (2014) 85:677–85. doi: 10.1038/ki.2013.359

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Lindeman RD, Tobin J, Shock NW. Longitudinal studies on the rate of decline in renal function with age. J Am Geriatr Soc. (1985) 33:278–85. doi: 10.1111/j.1532-5415.1985.tb07117.x

PubMed Abstract | CrossRef Full Text | Google Scholar

32. McGlauchlen KS, Vogel LA. Ineffective humoral immunity in the elderly. Microbes Infect. (2003) 5:1279–84. doi: 10.1016/j.micinf.2003.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Dreyer GJ, Hemke AC, Reinders MEJ, de Fijter JW. Transplanting the elderly: balancing aging with histocompatibility. Transplant Rev Orlando Fla. (2015) 29:205–11. doi: 10.1016/j.trre.2015.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Doyle SE, Matas AJ, Gillingham K, Rosenberg ME. Predicting clinical outcome in the elderly renal transplant recipient. Kidney Int. (2000) 57:2144–50. doi: 10.1046/j.1523-1755.2000.00066.x

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Mendonça HM, Dos Reis MA, de Castro de Cintra Sesso R, Câmara NOS, Pacheco-Silva A. Renal transplantation outcomes: a comparative analysis between elderly and younger recipients. Clin Transplant. (2007) 21:755–60. doi: 10.1111/j.1399-0012.2007.00734.x

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Tullius SG, Tran H, Guleria I, Malek SK, Tilney NL, Milford E. The combination of donor and recipient age is critical in determining host immunoresponsiveness and renal transplant outcome. Ann Surg. (2010) 252:662–74. doi: 10.1097/SLA.0b013e3181f65c7d

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Au EH, Chapman JR, Craig JC, Lim WH, Teixeira-Pinto A, Ullah S, et al. Overall and site-specific cancer mortality in patients on dialysis and after kidney transplant. J Am Soc Nephrol. (2019) 30:471–80. doi: 10.1681/ASN.2018090906

CrossRef Full Text | Google Scholar

38. Carrero JJ, Stenvinkel P, Fellström B, Qureshi AR, Lamb K, Heimbürger O, et al. Telomere attrition is associated with inflammation, low fetuin-A levels and high mortality in prevalent haemodialysis patients. J Intern Med. (2008) 263:302–12. doi: 10.1111/j.1365-2796.2007.01890.x

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Ducloux D, Legendre M, Bamoulid J, Rebibou J-M, Saas P, Courivaud C, et al. ESRD-associated immune phenotype depends on dialysis modality and iron status: clinical implications. Immun Ageing A. (2018) 15:16. doi: 10.1186/s12979-018-0121-z

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Britanova OV, Putintseva EV, Shugay M, Merzlyak EM, Turchaninova MA, Staroverov DB, et al. Age-related decrease in TCR repertoire diversity measured with deep and normalized sequence profiling. J Immunol Baltim Md 1950. (2014) 192:2689–98. doi: 10.4049/jimmunol.1302064

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Huang L, Langerak AW, Wolvers-Tettero ILM, Meijers RWJ, Baan CC, Litjens NHR, et al. End stage renal disease patients have a skewed T cell receptor Vβ repertoire. Immun Ageing A. (2015) 12:28. doi: 10.1186/s12979-015-0055-7

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Seyda M, Quante M, Uehara H, Slegtenhorst BR, Elkhal A, Tullius SG. Immunosenescence in renal transplantation: a changing balance of innate and adaptive immunity. Curr Opin Organ Transplant. (2015) 20:417–23. doi: 10.1097/MOT.0000000000000210

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Gomez I, Marx F, Gould EA, Grubeck-Loebenstein B. T cells from elderly persons respond to neoantigenic stimulation with an unimpaired IL-2 production and an enhanced differentiation into effector cells. Exp Gerontol. (2004) 39:597–605. doi: 10.1016/j.exger.2003.11.018

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Eaton SM, Burns EM, Kusser K, Randall TD, Haynes L. Age-related defects in CD4 T cell cognate helper function lead to reductions in humoral responses. J Exp Med. (2004) 200:1613–22. doi: 10.1084/jem.20041395

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Chidrawar SM, Khan N, Chan YLT, Nayak L, Moss PAH. Ageing is associated with a decline in peripheral blood CD56bright NK cells. Immun Ageing A. (2006) 3:10. doi: 10.1186/1742-4933-3-10

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Betjes MGH, Langerak AW, van der Spek A, de Wit EA, Litjens NHR. Premature aging of circulating T cells in patients with end-stage renal disease. Kidney Int. (2011) 80:208–17. doi: 10.1038/ki.2011.110

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Chiu Y-L, Shu K-H, Yang F-J, Chou T-Y, Chen P-M, Lay F-Y, et al. A comprehensive characterization of aggravated aging-related changes in T lymphocytes and monocytes in end-stage renal disease: the iESRD study. Immun Ageing A. (2018) 15:27. doi: 10.1186/s12979-018-0131-x

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Gillespie GM, Wills MR, Appay V, O'Callaghan C, Murphy M, Smith N, et al. Functional heterogeneity and high frequencies of cytomegalovirus-specific CD8(+) T lymphocytes in healthy seropositive donors. J Virol. (2000) 74:8140–50. doi: 10.1128/JVI.74.17.8140-8150.2000

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Sylwester AW, Mitchell BL, Edgar JB, Taormina C, Pelte C, Ruchti F, et al. Broadly targeted human cytomegalovirus-specific CD4+ and CD8+ T cells dominate the memory compartments of exposed subjects. J Exp Med. (2005) 202:673–85. doi: 10.1084/jem.20050882

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Westall G, Kotsimbos T, Brooks A. CMV-specific CD8 T-cell dynamics in the blood and the lung allograft reflect viral reactivation following lung transplantation. Am J Transplant Off. (2006) 6:577–84. doi: 10.1111/j.1600-6143.2005.01212.x

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Yang F-J, Shu K-H, Chen H-Y, Chen I-Y, Lay F-Y, Chuang Y-F, et al. Anti-cytomegalovirus IgG antibody titer is positively associated with advanced T cell differentiation and coronary artery disease in end-stage renal disease. Immun Ageing A. (2018) 15:15. doi: 10.1186/s12979-018-0120-0

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Meijers RWJ, Litjens NHR, Hesselink DA, Langerak AW, Baan CC, Betjes MGH. Primary Cytomegalovirus infection significantly impacts circulating T cells in kidney transplant recipients. Am J Transplant Off. (2015) 15:3143–56. doi: 10.1111/ajt.13396

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Schaenman J, Liao D, Phonphok K, Bunnapradist S, Karlamangla A. Predictors of early and late mortality in older kidney transplant recipients. Transplant Proc. (2019) 51:684–91. doi: 10.1016/j.transproceed.2019.01.035

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Gjertson DW. A multi-factor analysis of kidney graft outcomes at one and five years posttransplantation: 1996 UNOS update. Clin Transpl. (1996) 12:343–60.

Google Scholar

55. Pessione F, Cohen S, Durand D, Hourmant M, Kessler M, Legendre C, et al. Multivariate analysis of donor risk factors for graft survival in kidney transplantation. Transplantation. (2003) 75:361–7. doi: 10.1097/01.TP.0000044171.97375.61

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Reutzel-Selke A, Jurisch A, Denecke C, Pascher A, Martins PNA, Kessler H, et al. Donor age intensifies the early immune response after transplantation. Kidney Int. (2007) 71:629–36. doi: 10.1038/sj.ki.5002098

PubMed Abstract | CrossRef Full Text | Google Scholar

57. de Fijter JW, Mallat MJ, Doxiadis II, Ringers J, Rosendaal FR, Claas FH, Paul, et al. Increased immunogenicity and cause of graft loss of old donor kidneys. J Am Soc Nephrol. (2001) 12:1538–46.

PubMed Abstract | Google Scholar

58. Oberhuber R, Ge X, Tullius SG. Donor age-specific injury and immune responses. Am J Transplant Off. (2012) 12:38–42. doi: 10.1111/j.1600-6143.2011.03798.x

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Kailong L, Du X, Yani H, Lin Z, Jvrong Y, Ruihua S, et al. P53-Rb signaling pathway is involved in tubular cell senescence in renal ischemia/reperfusion injury. Biocell Off J Soc Latinoam Microsc Electron Al. (2007) 31:213–23.

PubMed Abstract | Google Scholar

60. Reutzel-Selke A, Filatenkov A, Jurisch A, Denecke C, Martins PNA, Pascher A, et al. Grafts from elderly donors elicit a stronger immune response in the early period posttransplantation: a study in a rat model. Transplant Proc. (2005) 37:382–3. doi: 10.1016/j.transproceed.2005.01.005

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Castle SC, Uyemura K, Crawford W, Wong W, Makinodan T. Antigen presenting cell function is enhanced in healthy elderly. Mech Ageing Dev. (1999) 107:137–45. doi: 10.1016/S0047-6374(98)00141-9

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Agrawal A, Agrawal S, Tay J, Gupta S. Biology of dendritic cells in aging. J Clin Immunol. (2008) 28:14–20. doi: 10.1007/s10875-007-9127-6

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Shoskes DA, Parfrey NA, Halloran PF. Increased major histocompatibility complex antigen expression in unilateral ischemic acute tubular necrosis in the mouse. Transplantation. (1990) 49:201–7. doi: 10.1097/00007890-199001000-00045

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Yarlagadda SG, Coca SG, Formica RN, Poggio ED, Parikh CR. Association between delayed graft function and allograft and patient survival: a systematic review and meta-analysis. Nephrol Dial Transplant Off. (2009) 24:1039–47. doi: 10.1093/ndt/gfn667

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Treckmann J, Moers C, Smits JM, Gallinat A, Maathuis M-HJ, van Kasterop-Kutz M, et al. Machine perfusion versus cold storage for preservation of kidneys from expanded criteria donors after brain death. Transpl Int Off. (2011) 24:548–54. doi: 10.1111/j.1432-2277.2011.01232.x

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Moers C, Pirenne J, Paul A, Ploeg RJ, Machine preservation trial study group. Machine perfusion or cold storage in deceased-donor kidney transplantation. N Engl J Med. (2012) 366:770–1. doi: 10.1056/NEJMc1111038

CrossRef Full Text | Google Scholar

67. Savoye E, Tamarelle D, Chalem Y, Rebibou J-M, Tuppin P. Survival benefits of kidney transplantation with expanded criteria deceased donors in patients aged 60 years and over. Transplantation. (2007) 84:1618–24. doi: 10.1097/01.tp.0000295988.28127.dd

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Heldal K, Hartmann A, Leivestad T, Foss A, Midtvedt K. Risk variables associated with the outcome of kidney recipients >70 years of age in the new millennium. Nephrol Dial Transplant Off Publ Eur Dial Transpl Assoc. (2011) 26:2706–11. doi: 10.1093/ndt/gfq786

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Schaenman JM, Rossetti M, Sidwell T, Groysberg V, Sunga G, Korin Y, et al. Increased T cell immunosenescence and accelerated maturation phenotypes in older kidney transplant recipients. Hum Immunol. (2018) 79:659–67. doi: 10.1016/j.humimm.2018.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Sekta S, Ziaja J, Kolonko A, Lekstan A, Swider R, Klimunt J, et al. Donation and transplantation of kidneys harvested from deceased donors over the age of 60 years in the upper silesia region. Transplant Proc. (2016) 48:1466–71. doi: 10.1016/j.transproceed.2015.11.038

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Aubert O, Reese PP, Audry B, Bouatou Y, Raynaud M, Viglietti D, et al. Disparities in acceptance of deceased donor kidneys between the united states and france and estimated effects of increased US acceptance. JAMA Intern Med. (2019) 179:1365–74. doi: 10.1001/jamainternmed.2019.2322

CrossRef Full Text | Google Scholar

72. Querard A-H, Foucher Y, Combescure C, Dantan E, Larmet D, Lorent M, et al. Comparison of survival outcomes between expanded criteria donor and standard criteria donor kidney transplant recipients: a systematic review and meta-analysis. Transpl Int Off. (2016) 29:403–15. doi: 10.1111/tri.12736

PubMed Abstract | CrossRef Full Text | Google Scholar

73. van Ittersum FJ, Hemke AC, Dekker FW, Hilbrands LB, Christiaans MHL, Roodnat JI, et al. Increased risk of graft failure and mortality in Dutch recipients receiving an expanded criteria donor kidney transplant. Transpl Int Off. (2017) 30:14–28. doi: 10.1111/tri.12863

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Tomita Y, Tojimbara T, Iwadoh K, Nakajima I, Fuchinoue S. Long-term outcomes in kidney transplantation from expanded-criteria donors after circulatory death. Transplant Proc. (2017) 49:45–8. doi: 10.1016/j.transproceed.2016.10.009

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Palkoci B, Vojtko M, Fialová J, Osinová D, Lajčiaková M. Results of kidney transplantation from expanded criteria donors: a single-center experience. Int J Organ Transplant Med. (2018) 9:1–9.

PubMed Abstract | Google Scholar

76. Kim JM, Kim SJ, Joh J-W, Kwon CHD, Song S, Shin M, et al. Is it safe to use a kidney from an expanded criteria donor? Transplant Proc. (2011) 43:2359–62. doi: 10.1016/j.transproceed.2011.05.040

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Gill J, Sampaio M, Gill JS, Dong J, Kuo H-T, Danovitch GM, et al. Induction immunosuppressive therapy in the elderly kidney transplant recipient in the United States. Clin J Am Soc Nephrol. (2011) 6:1168–78. doi: 10.2215/CJN.07540810

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Aull MJ, Dadhania D, Afaneh C, Leeser DB, Hartono C, Lee JB, et al. Early corticosteroid withdrawal in recipients of renal allografts: a single-center report of ethnically diverse recipients and recipients of marginal deceased-donor kidneys. Transplantation. (2012) 94:837–44. doi: 10.1097/TP.0b013e318265c461

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Segoloni GP, Messina M, Squiccimarro G, Mazzucco G, Torta E, Leonardi G, et al. Preferential allocation of marginal kidney allografts to elderly recipients combined with modified immunosuppression gives good results. Transplantation. (2005) 80:953–8. doi: 10.1097/01.tp.0000174134.80947.0a

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Durrbach A, Pestana JM, Florman S, Del Carmen Rial M, Rostaing L, Kuypers D, et al. Long-term outcomes in belatacept- versus cyclosporine-treated recipients of extended criteria donor kidneys: final results from BENEFIT-EXT, a phase III randomized study. Am J Transplant Off. (2016) 16:3192–201. doi: 10.1111/ajt.13830

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Stratta RJ, Rohr MS, Sundberg AK, Farney AC, Hartmann EL, Moore PS, et al. Intermediate-term outcomes with expanded criteria deceased donors in kidney transplantation: a spectrum or specter of quality? Ann Surg. (2006) 243:594–601. discussion: 601–3. doi: 10.1097/01.sla.0000216302.43776.1a

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Arbogast H, Hückelheim H, Schneeberger H, Illner W-D, Tarabichi A, Fertmann J, et al. A calcineurin antagonist-free induction/maintenance strategy for immunosuppression in elderly recipients of renal allografts from elderly cadaver donors: long-term results from a prospective single centre trial. Clin Transplant. (2005) 19:309–15. doi: 10.1111/j.1399-0012.2005.00309.x

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Furian L, Baldan N, Margani G, Ekser B, Silvestre C, Marchini F, et al. Calcineurin inhibitor-free immunosuppression in dual kidney transplantation from elderly donors. Clin Transplant. (2007) 21:57–62. doi: 10.1111/j.1399-0012.2006.00583.x

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Cruzado JM, Bestard O, Riera L, Torras J, Gil-Vernet S, Serón D, et al. Immunosuppression for dual kidney transplantation with marginal organs: the old is better yet. Am J Transplant. (2007) 7:639–44. doi: 10.1111/j.1600-6143.2007.01671

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Ferreira AN, Felipe CR, Cristelli M, Viana L, Mansur J, de Paula M, et al. Prospective randomized study comparing everolimus and mycophenolate sodium in de novo kidney transplant recipients from expanded criteria deceased donor. Transpl Int Off. (2019) 32:1127–43. doi: 10.1111/tri.13478

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Filiopoulos V, Boletis JN. Renal transplantation with expanded criteria donors: which is the optimal immunosuppression? World J Transplant. (2016) 6:103–14. doi: 10.5500/wjt.v6.i1.103

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Hussain SM, Marcus RJ, Ko TY, Nashar K, Thai NL, Sureshkumar KK. Outcomes of early steroid withdrawal in recipients of deceased-donor expanded criteria kidney transplants in the era of induction therapy. Exp Clin Transplant Off. (2016) 14:287–93.

PubMed Abstract | Google Scholar

88. Malvezzi P, Jouve T, Rostaing L. Costimulation blockade in kidney transplantation: an update. Transplantation. (2016) 100:2315–23. doi: 10.1097/TP.0000000000001344

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Le Meur Y, Aulagnon F, Bertrand D, Heng AE, Lavaud S, Caillard S, et al. Effect of an early switch to belatacept among calcineurin inhibitor-intolerant graft recipients of kidneys from extended-criteria donors. Am J Transplant Off. (2016) 16:2181–6. doi: 10.1111/ajt.13698

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Laham G, Scuteri R, Cornicelli P, Arriola M, Raffaele PM, Davalos Michel M, et al. Surveillance registry of sirolimus use in recipients of kidney allografts from expanded criteria donors. Transplant Proc. (2016) 48:2650–5. doi: 10.1016/j.transproceed.2016.08.008

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Durrbach A, Rostaing L, Tricot L, Ouali N, Wolf P, Pouteil-Noble C, et al. Prospective comparison of the use of sirolimus and cyclosporine in recipients of a kidney from an expanded criteria donor. Transplantation. (2008) 85:486–90. doi: 10.1097/TP.0b013e318160d3c9

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Ojo AO, Hanson JA, Meier-Kriesche H, Okechukwu CN, Wolfe RA, Leichtman AB, et al. Survival in recipients of marginal cadaveric donor kidneys compared with other recipients and wait-listed transplant candidates. J Am Soc Nephrol. (2001) 12:589–97.

PubMed Abstract | Google Scholar

93. Rao PS, Schaubel DE, Guidinger MK, Andreoni KA, Wolfe RA, Merion RM, et al. A comprehensive risk quantification score for deceased donor kidneys: the kidney donor risk index. Transplantation. (2009) 88:231–6. doi: 10.1097/TP.0b013e3181ac620b

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Tanriover B, Mohan S, Cohen DJ, Radhakrishnan J, Nickolas TL, Stone PW, et al. Kidneys at higher risk of discard: expanding the role of dual kidney transplantation. Am J Transplant Off. (2014) 14:404–15. doi: 10.1111/ajt.12553

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Schamberger B, Lohmann D, Sollinger D, Stein R, Lutz J. Association of kidney donor risk index with the outcome after kidney transplantation in the eurotransplant senior program. Ann Transplant. (2018) 23:775–81. doi: 10.12659/AOT.909622

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Smits JMA, Persijn GG, van Houwelingen HC, Claas FHJ, Frei U. Evaluation of the Eurotransplant Senior Program. The results of the first year. Am J Transplant Off. (2002) 2:664–70. doi: 10.1034/j.1600-6143.2002.20713.x

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Frei U, Noeldeke J, Machold-Fabrizii V, Arbogast H, Margreiter R, Fricke L, et al. Prospective age-matching in elderly kidney transplant recipients–a 5-year analysis of the Eurotransplant Senior Program. Am J Transplant Off. (2008) 8:50–7. doi: 10.1111/j.1600-6143.2007.02014.x

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Peters-Sengers H, Berger SP, Heemskerk MBA, Al Arashi D, Homan van der Heide JJ, Hemke AC, et al. Stretching the limits of renal transplantation in elderly recipients of grafts from elderly deceased donors. J Am Soc Nephrol. (2017) 28:621–31. doi: 10.1681/ASN.2015080879

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Jacobi J, Beckmann S, Heller K, Hilgers KF, Apel H, Spriewald B, et al. Deceased donor kidney transplantation in the eurotransplant senior program. (ESP): a single-center experience from 2008 to 2013. Ann Transplant. (2016) 21:94–104. doi: 10.12659/AOT.895731

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: kidney transplantation, extended criteria donors, aging, immunosenescence, graft survival

Citation: Noble J, Jouve T, Malvezzi P, Süsal C and Rostaing L (2020) Transplantation of Marginal Organs: Immunological Aspects and Therapeutic Perspectives in Kidney Transplantation. Front. Immunol. 10:3142. doi: 10.3389/fimmu.2019.03142

Received: 22 September 2019; Accepted: 24 December 2019;
Published: 31 January 2020.

Edited by:

Eric Spierings, Utrecht University, Netherlands

Reviewed by:

Nicole Andrea Mifsud, Monash University, Australia
Jakob Nilsson, University Hospital Zürich, Switzerland

Copyright © 2020 Noble, Jouve, Malvezzi, Süsal and Rostaing. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Lionel Rostaing, bHJvc3RhaW5nJiN4MDAwNDA7Y2h1LWdyZW5vYmxlLmZy

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