SYSTEMATIC REVIEW article

Front. Immunol., 28 November 2023

Sec. Alloimmunity and Transplantation

Volume 14 - 2023 | https://doi.org/10.3389/fimmu.2023.1277017

Risk factors and outcomes of IgA nephropathy recurrence after kidney transplantation: a systematic review and meta-analysis

  • 1. Department of Urology, West China Hospital, Sichuan University, Chengdu, China

  • 2. Transplant Center, West China Hospital, Sichuan University, Chengdu, China

Article metrics

View details

18

Citations

6,9k

Views

2,8k

Downloads

Abstract

Background:

IgA nephropathy may recur in patients receiving kidney transplantation due to IgA nephropathy induced renal failure. The risk factors for recurrence are still at issue. The aim of this study was to conduct a systematic review and meta-analysis to assess risk factors and outcomes for IgA nephropathy recurrence.

Methods:

We used PubMed, EMBASE, Cochrane Library, Web of Science, Scopus, CNKI, WanFang, VIP and CBM to search for relevant studies published in English and Chinese. Cohort or case-control studies reporting risk factors or outcomes for IgA nephropathy recurrence were included.

Results:

Fifty-eight studies were included. Compare to no recurrence group, those with IgAN recurrence had younger age (mean difference [MD]=-4.27 years; risk ratio [RR]=0.96), younger donor age (MD=-2.19 years), shorter time from IgA nephropathy diagnosis to end stage renal disease (MD=-1.84 years; RR=0.94), shorter time on dialysis (MD=-3.14 months), lower human leukocyte-antigen (HLA) mismatches (MD=-0.11) and HLA-DR mismatches (MD=-0.13). HLA-B46 antigen (RR=0.39), anti-IL-2-R antibodies induction (RR=0.68), mycophenolate mofetil (RR=0.69), and pretransplant tonsillectomy (RR=0.43) were associated with less IgAN recurrence. Of note, male recipient gender (RR=1.17), related donor (RR=1.53), retransplantation (RR=1.43), hemodialysis (RR=1.68), no induction therapy (RR=1.73), mTOR inhibitor (RR=1.51), angiotensin-converting enzyme inhibitors or angiotensin-receptor blockers (RR=1.63) were risk factors for IgAN recurrence. Recurrence increased the risk of graft loss (RR=2.19).

Conclusions:

This study summarized the risk factors for recurrence of IgA nephropathy after kidney transplantation. Well-designed prospective studies are warranted for validation.

Systematic Review Registration:

https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=377480, identifier CRD42022377480.

1 Introduction

Immunoglobulin A nephropathy (IgAN) is the most prevalent glomerular disease worldwide that can lead to end-stage renal disease (ESRD) with a 10-year renal survival rate ranging from 57% to 91% (1, 2). Kidney transplantation (KT) is the optimal treatment for patients with ESRD. However, there is a risk of IgAN recurrence in renal allografts with a recurrence rate of between 9% and 60%, depending on the time after KT and the IgAN recurrence increased the risk of graft failure (3).

The identification of risk factors for IgAN recurrence is crucial in pre-transplant evaluation, and many studies have been conducted to investigate this issue. However, the results are inconsistent, with some studies indicated that younger age, high human leukocyte-antigen (HLA) matching, and related donor are risk factors, while others found no significant association (49). The discrepancy is largely due to the fact that most studies were single-center or had small sample sizes, highlighting the need for further research.

To date, no studies have systematically evaluated the risk factors for IgAN recurrence after KT. Therefore, the present systematic review and meta-analysis aimed to identify risk factors for IgAN recurrence and quantify its impact on clinical outcomes.

2 Materials and methods

The systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 (PRISMA 2020) statement and the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines (10, 11). The protocol was registered in PROSPERO (CRD42022377480).

2.1 Search strategy

English or Chinese literature from the following databases were considered: PubMed, EMBASE, Cochrane Library, Scopus, Web of Science, CNKI, Wanfang, CBM, and VIP (from inception to October 3, 2022). We developed a search strategy for each database (Supplementary Table 1).

2.2 Inclusion and exclusion criteria

Studies were included if they met the following criteria: (1) Patients: those who received a KT due to IgAN induced renal failure; (2) Exposure: various potential risk factors for IgAN recurrence, such as donor and recipient characteristics, primary disease characteristics, immunosuppressive therapy, biomarkers, etc.; (3) Outcome: recurrence of IgAN in kidney allografts; (4) Study design: prospective/retrospective cohort studies or case-control studies. Studies reporting the effect of recurrence on clinical outcomes were also included. The excluded criteria were as follows: (1) Excluded study types: reviews, systematic reviews, case reports, case series, animal studies, comments, conference abstracts, and letters without detailed data, (2) Difficult to differentiate the IgAN recurrence and de novo IgAN in allografts, (3) Studies published in languages other than English or Chinese.

2.3 Selection of studies and risk bias assessment

Two researchers (YL and YT) independently screened all relevant titles and abstracts of retrieved publications to identify eligible studies. The inclusion and exclusion criteria were then applied to the full text screening. A third reviewer (TS or TL) was consulted to resolve disputes and reach a consensus. The quality and methodological strength of the included studies were assessed by two researchers (YL and YT) using the Newcastle-Ottawa Scale (NOS) (12). Scores of 0-4, 5-6, and 7-9 correspond to poor, moderate, and high quality, respectively.

2.4 Data extraction and risk factors identification

Following items were extracted from selected studies: the name of the first author, year of publication, location, research design, demographic characteristics, inclusion and exclusion criteria, follow-up time, and effect of recurrence on outcomes. Number of events and total or associated effect sizes of all reported risk factors were extracted, and those risk factors assessed only by single publication were omitted. Zero counts in a two-by-two table were replaced by 0.5 according to continuity correction. For categorical variables, risk ratios (RRs) and 95% confidence intervals (CIs) were calculated independently by two researchers if reported as number of events and total. Considering that overlapping cohort studies may report different risk factors, the data for each risk factor was screened for overlapping cohort studies and only the studies with the largest sample size were included.

2.5 Statistical analysis

For categorical variables, the pooled RRs and 95% CIs were calculated using the Inverse variance method. For continuous variables, mean differences (MDs) or standardized mean differences (SMDs) and 95% CIs were used to pool the differences between the recurrence and non-recurrence groups. The mean and standard deviation were estimated based on data reported as median (interquartile or full range) (13, 14). Heterogeneity across studies was assessed using the I² statistic. If I² > 50%, the heterogeneity is considered to be significant, and the random effects model is used; otherwise, the fixed effect model is used. If the number of studies is greater than 10, Egger’s test is used to evaluate publication bias. All analyses were performed using R software (version 4.2.1).

3 Results

3.1 Study selection

The study selection process is summarized in Figure 1. The initial search retrieved 8077 records, and then 2787 duplicates were removed. After screening the titles and abstracts, 5162 records were excluded and 133 full text articles were assessed for eligibility. Out of these, 58 studies met the inclusion criteria and were included in the systematic review and meta-analysis (49, 1566). The excluded studies and the reasons for their exclusion after full text screening are detailed in Supplementary Table 2.

Figure 1

Figure 1

Study selection flowchart.

3.2 Study characteristics

The characteristics of the included studies are summarized in Table 1. The studies were published between 1984 and 2022, with 35 of them being published after 2010. The sample sizes ranged from 13 to 2501. The majority of the studies were retrospective cohort studies (56), while only two were case-control studies. The studies were conducted in various countries, with the majority being from Asia (23), Europe (22), and the USA (7).

Table 1

StudyStudy designCountry or regionStudy
interval
Sample sizeRecurrence
rate
FemaleNOS
points
Ahn (2015)Retrospective cohortKorea1989.01-2005.125630.36%46.43%6
Allen (2017)Retrospective cohortAustralia,
New Zealand
1985-201425019.00%NA8
Andresdottir (2001)Retrospective cohortNetherlands1969-1997798.86%NA6
Avasare (2017)Retrospective cohortUSA2001.01-2012.126222.58%35.48%7
Bachman (1986)Retrospective cohortUSA1969-1984.051346.15%7.69%5
Bantis (2008)Retrospective cohortGermany1986-200410315.53%20.39%6
Berger (1984)Retrospective cohortFranceNA3253.13%NA6
Berthoux (2008)Retrospective cohortFrance1979.03-2005.1211628.45%NA6
Berthoux (2015)Case-controlFrance2000-201260NA40.00%7
Berthoux (2017)Retrospective cohortFrance1985.01-2007.129635.42%17.71%7
Bjørneklett (2011)Retrospective cohortNorway1988-2004106NANA6
Bumgardner (1998)Retrospective cohortUSA1980.06-1994.126129.51%34.43%8
Chacko (2007)Retrospective cohortIndia1990.01-2004.052025.00%25.00%5
Chandrakantan (2005)Retrospective cohortUSA1984.01-2003.0815612.82%NA6
Choy (2003)Retrospective cohortChina1984.01-2001.127518.67%37.33%8
Coppo (2007)Retrospective cohortItaly1984-2002.116149.18%32.79%7
Courtney (2006)Retrospective cohortUK1977.08-2004.047517.33%14.67%6
Di Vico (2018)Retrospective cohortItaly1995.01-2012.125154.90%NA7
Freese (1999)Retrospective cohortSweden1985-1996.1210412.50%20.19%7
Garnier (2018)Retrospective cohortFrance2003.01-2013.126720.90%17.91%6
Han (2009)Retrospective cohortKoreaNA22119.91%42.08%7
Jäger (2022)Retrospective cohortSwitzerland2008.05-2016.1216126.71%17.39%8
Jeong (2008)Retrospective cohortKorea1992-20037757.14%27.27%7
Ji (2016)Retrospective cohortChina1996.01-2009.0414831.08%74.32%5
Jiang (2018)Retrospective cohortAustralia,
New Zealand
1985-201323939.65%24.15%6
Jo (2019)Retrospective cohortKorea2011.1-2015.106915.94%42.03%6
Kamal Aziz (2012)Retrospective cohortFrance1982-201214217.61%NA5
Kavanagh (2022)Retrospective cohortUSA2005-201928228.37%30.85%7
Kawabe (2016)Retrospective cohortJapan1987-20152128.57%61.90%6
Kennard (2017)Retrospective cohortAustralia,
New Zealand
1985-20132393NANA6
Kessler (1996)Retrospective cohortFrance1985.01-1991.062846.43%14.29%6
Kim (2001)Retrospective cohortKorea1984.02-1998.104344.19%NA7
Kim (2017)Retrospective cohortKorea1990.02-2016.0295NANA6
Lee (2019)Retrospective cohortKorea1995.02-2015.03218NANA5
Lionaki (2021)Retrospective cohortGreece2000-20189623.96%29.17%7
Maixnerova (2021)Retrospective cohortCzech1991-201731314.06%19.17%8
Martín‐Penagos (2019)Retrospective cohortSpain1993.01-2015.123540.00%20.00%6
McDonald (2006)Retrospective cohortAustralia,
New Zealand
1987.10-2004.1213867.94%NA7
Moriyama (2005)Retrospective cohortJapan1992-19994926.53%34.69%6
Moroni (2013)Retrospective cohortItaly1981-201019022.11%21.58%7
Nakamura (2021)Retrospective cohortJapanNA1546.67%33.33%5
Namba (2004)Retrospective cohortJapan1980-20013080.00%33.33%6
Ng (2007)Retrospective cohortSingapore1984.11-2004.122927.59%NA6
Nijim (2016)Retrospective cohortUSA1993.04-2014.1112218.85%31.15%6
Noguchi (2020)Retrospective cohortJapan2002.12-2018.12135NA54.07%7
Odum (1994)Retrospective cohortAustralia1977-1992.095133.33%6.25%5
Okumi (2019)Retrospective cohortJapan1995.01-2015.0329926.76%44.15%7
Ortiz (2012)Retrospective cohortFinland, Spain2001.01-2010.046532.31%15.38%8
Park (2021)Retrospective cohortKorea2009-20162748.15%37.04%5
Ponticelli (2001)Retrospective cohortItaly1973.07-1999.0910632.08%24.53%7
Rodas (2020)Retrospective cohortSpain1992-20168626.74%26.74%7
Sato (2013)Retrospective cohortJapan1990-200518438.04%44.02%6
Sofue (2013)Retrospective cohortJapan2003.08-2011.023534.29%28.57%6
Temurhan (2017)Case-controlTurkeyNA41NA26.83%6
Uffing (2021)Retrospective cohortEurope, North and South America2005.01-2015.1250416.27%28.17%9
Von Visger (2014)Retrospective cohortUSA1989.06-2008.1112421.77%27.42%6
Wang (2001)Retrospective cohortChina1985.01-1998.124829.17%54.17%6
Wang (2021)Retrospective cohortChina2008.01-2019.1214926.85%44.30%6

Summary characteristics of included studies.

NOS, Newcastle–Ottawa scale; NA, not available.

3.3 Risk of bias

The risk of bias was assessed using the NOS and the results are presented in Table 1. The overall quality of the included studies was medium, with 34 studies having a medium quality and 24 having a high quality.

3.4 Risk factors for IgAN recurrence

The results of meta-analysis examining risk factors for IgAN recurrence are presented in Table 2.

Table 2

Risk factors or outcomesNo. of studiesnHeterogeneityEffects modelESES [95% CI]ZPEgger’s test, P
P
Recipient
Age at KT (year)28324871.60%< 0.0001RMD-4.27 [-5.76, -2.78]-5.63< 0.00010.7522
Age at KT (per year)9351929.30%0.1848FRR0.96 [0.95, 0.97]-8.31< 0.0001
Recipient sex (male)2737956.40%0.3693FRR1.17 [1.01, 1.35]2.070.03800.1139
Recipient body mass index (kg/cm²)467781.80%0.0009RMD-1.53 [-3.75, 0.69]-1.350.1762
Recipient body mass index (per 1 kg/cm²)27220.00%1.0000FRR0.96 [0.92, 1.02]-1.680.0936
Donor
Donor sex (male)79830.00%0.5525FRR0.90 [0.73, 1.11]-1.000.3171
Donor age at KT (year)15195634.70%0.0910FMD-2.19 [-3.46, -0.93]-3.400.00070.4067
Donor age at KT (per year)33890.00%0.4354FRR0.99 [0.97, 1.01]-0.790.4314
Living donor26447248.80%0.0029FRR1.02 [0.90, 1.14]0.280.77810.0003
Related donor21255962.90%< 0.0001RRR1.53 [1.24, 1.88]4.02< 0.00010.0001
Living related donor (vs. living unrelated donor)10122121.40%0.2461FRR1.69 [1.31, 2.18]3.99< 0.00010.1001
Primary disease
Age at IgAN diagnosis (year)690971.70%0.0034RMD-2.52 [-6.73, 1.69]-1.170.2412
Age at IgAN diagnosis (per year)241786.00%0.0075RRR0.99 [0.93, 1.05]-0.430.6699
Time from IgAN diagnosis to ESRD (year)1314480.00%0.6548FMD-1.84 [-2.43, -1.25]-6.14< 0.00010.8399
Time from IgAN diagnosis to ESRD (per year)32930.00%0.4097FRR0.94 [0.91, 0.97]-3.410.0007
History of KT
History of KT12442147.40%0.0342FRR1.43 [1.24, 1.65]4.98< 0.00010.5062
Dialysis history
Time on dialysis (month)19216444.60%0.0193FMD-3.14 [-4.18, -2.09]-5.88< 0.00010.5114
Hemodialysis36891.70%0.3615FRR1.68 [1.04, 2.71]2.130.0331
Pre-emptive transplant10156952.70%0.0249RRR1.12 [0.77, 1.62]0.600.55010.5854
Comorbidities
Hypertension760044.80%0.0923FRR1.09 [0.76, 1.57]0.490.6245
Diabetes32760.00%0.6065FRR1.22 [0.73, 2.03]0.750.4547
Histocompatibility
Panel reactive antibodies468965.90%0.0320RMD0.95 [-3.55, 5.45]0.410.6795
Panel reactive antibodies >50%35430.00%0.5899FRR0.66 [0.34, 1.29]-1.210.2259
Pretransplant donor specific antibody5126767.70%0.0148RRR1.01 [0.53, 1.94]0.040.9650
ABO-incompatibility45050.00%0.8607FRR0.89 [0.60, 1.31]-0.600.5487
HLA-A/B/DR mismatches19241438.40%0.0455FMD-0.11 [-0.22, -0.00]-2.000.04550.6727
HLA-A/B mismatches22510.00%0.7481FMD0.09 [-0.05, 0.22]1.200.2294
HLA-DR mismatches22510.00%0.7494FMD-0.13 [-0.22, -0.05]-3.000.0027
HLA-A/B/DR full match490531.3%0.2244FRR1.88 [1.14, 3.11]2.470.0135
HLA-A full match2980.00%0.8560FRR1.48 [0.70, 3.09]1.030.3021
HLA-B full match418036.70%0.1921FRR1.12 [0.72, 1.76]0.510.6084
HLA-DR full match422985.80%< 0.0001RRR0.71 [0.15, 3.38]-0.430.6693
HLA identied related donor (vs. other)215278.70%0.0301RRR2.91 [0.7, 12.01]1.470.1406
HLA identied related donor (vs. not identied related donor)39218.50%0.2932FRR1.14 [0.70, 1.88]0.530.5964
HLA-A2766136.90%0.1471FRR1.03 [0.78, 1.37]0.210.8300
HLA-B35810510.00%0.7456FRR1.25 [0.95, 1.64]1.590.1116
HLA-B4632900.00%0.5821FRR0.39 [0.16, 0.95]-2.060.0392
HLA-DR324660.00%0.9142FRR1.14 [0.84, 1.55]0.860.3883
HLA-DR4439782.80%0.0006RRR2.91 [0.94, 8.97]1.860.0630
Induction therapy
None9145370.50%0.0007RRR1.73 [1.16, 2.58]2.690.0071
Anti-IL-2-R antibodies14210279.80%< 0.0001RRR0.68 [0.47, 0.99]-2.020.04290.8046
Antithymocyte globulin13184474.10%< 0.0001RRR0.97 [0.64, 1.47] -0.150.87840.0189
Anti-CD20 antibodies231274.20%0.0488RRR0.63 [0.22, 1.82]-0.850.3951
Maintenance therapy
Tacrolimus16214652.20%0.0077RRR0.90 [0.68, 1.19]-0.720.47410.5163
Cyclosporine15170141.90%0.0445FRR1.07 [0.90, 1.28]0.770.44140.2776
MMF12184624.90%0.1996FRR0.69 [0.56, 0.86]-3.280.00100.9129
Azathioprine66842.00%0.4036FRR1.18 [0.85, 1.64]0.990.3239
mTOR inhibitor76020.00%0.5686FRR1.51 [1.10, 2.06]2.570.0102
Steroids10350474.1%< 0.0001RRR0.88 [0.56, 1.38] -0.550.58310.3347
Graft rejection
Rejection8130536.00%0.1414FRR1.10 [0.83, 1.46]0.690.4932
T cell-mediated rejection236134.80%0.2155FRR1.42 [0.96, 2.09]1.750.0800
Antibody-mediated rejection33740.00%0.9932FRR0.85 [0.52, 1.38]-0.670.5042
Acute rejection1320630.00%0.6052FRR1.13 [0.96, 1.34] 1.430.15320.9843
Acute T cell-mediated rejection27540.00%0.6059FRR1.39 [0.99, 1.94]1.920.0547
Acute antibody-mediated rejection275481.70%0.0195RRR1.25 [0.35, 4.47]0.350.7279
Chronic rejection346828.60%0.2465FRR1.33 [0.91, 1.93]1.470.1403
Other therapy
ACEI/ARB86400.00%0.6797FRR1.80 [1.42, 2.28]4.87< 0.0001
Plasma exchange23120.00%0.4185FRR0.80 [0.54, 1.18]-1.120.2639
Tonsillectomy23500.00%0.6420FRR0.43 [0.23, 0.79]-2.690.0072
Steroids use before KT21730.00%0.3936FRR0.97 [0.58, 1.62]-0.130.8995
Immunosuppression use before KT327962.00%0.0718RRR1.27 [0.60, 2.71]0.620.5363
Other
Cold ischemia time (hour)7135612.90%0.3312FMD0.10 [-0.76, 0.96]0.230.8188
Delayed graft function544318.60%0.2960FRR0.70 [0.43, 1.12]-1.480.1377
Cytomegalovirus infection24760.00%0.8245FRR0.79 [0.45, 1.38]-0.840.4023
BK virus infection25170.00%0.5896FRR1.32 [0.67, 2.57]0.810.4205
Outcomes
Graft loss30598682.80%< 0.0001RRR2.19 [1.60, 3.01]4.88< 0.00010.0040
Death47030.00%0.5712FRR0.77 [0.42, 1.41]-0.850.3952
Infection23390.00%0.8135FRR1.02 [0.66, 1.59]0.100.9231

Meta-analysis of risk factors and outcomes for IgAN recurrence.

IgAN, immunoglobulin A nephropathy; ES, effect size; CI, confidence interval; KT, kidney transplantation; R, random effects model; F, fixed effect model; MD, mean difference; RR, risk ratio; ESRD, end stage renal disease; HLA, human leukocyte antigen; MMF, mycophenolate mofetil; ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blockers.

3.4.1 Demographic characteristics of recipients and donors

The study found that recipients with recurrent IgAN were younger at KT than those without recurrence (MD = -4.27 years, 95% CI: -5.76 to -2.78, I² = 71.60%). The pooled RR showed that the risk of recurrence decreased by 4% for each increase in age of 1 year at KT (RR = 0.96, 95%CI: 0.95-0.97, I² = 29.30%). The donor age was also found to be younger in the recurrent group (MD = -2.19 years, 95% CI: -3.46 to -0.93, I² = 34.70%), but the pooled RR of 389 participants from 3 studies was not significant (RR = 0.99, 95%CI: 0.97 to 1.01, I² = 0.00%). Male recipients had a 17% increased risk of recurrence compared to female recipients (RR = 1.17, 95%CI: 1.01 to 1.35, I² = 6.40%). There were no significant differences between the recurrence and non-recurrence groups with respect to recipient body mass index or donor sex.

3.4.2 Donor type

There was no difference in the risk of recurrence among recipients with living donors compared to those with deceased donors (RR = 1.02, 95% CI: 0.90 to 1.14, I² = 48.80%). Recipients with related donors had a higher risk of recurrence compared to those with unrelated donors (RR = 1.53, 95% CI: 1.24 to 1.88, I² = 62.90%). Further analysis found that recipients with living related donors had a higher risk of recurrence compared with those with living unrelated donors (RR = 1.69, 95% CI: 1.31 to 2.18, I² = 21.40%).

3.4.3 Primary disease

The age at diagnosis of IgAN did not differ between the recurrence and non-recurrence groups. However, the time from IgAN diagnosis to ESRD was shorter in the recurrence group compared to the non-recurrence group, with an MD of -1.84 years (95% CI: -2.43 to -1.25, I² = 0.00%). The RR value for the time from diagnosis to ESRD showed each additional year was associated with a 6% reduction in recurrence (RR = 0.94, 95% CI: 0.91 to 0.97, I² = 0.00%). This suggests that patients with a faster progression of primary disease were more susceptible to recur.

3.4.4 Dialysis history

Recurrent group had short dialysis duration (MD = -3.14 months, 95% CI: -4.18 to -2.09, I² = 44.60%) and hemodialysis (RR = 1.68, 95% CI: 1.04 to 2.71, I² = 1.70%) were identified as risk factors for recurrence, while pre-emptive transplantation was not found to be a significant risk factor.

3.4.5 Histocompatibility features

In patients with recurrent IgAN, lower total HLA mismatches (MD = -0.11, 95% CI: -0.22 to -0.00, I² = 38.40%) and lower HLA-DR mismatches (MD = -0.13, 95% CI: -0.22 to -0.05, I² = 0.00%) were observed, but no significant difference was found in HLA-A and B. The pooled RR showed an increased risk of recurrence in recipients with HLA full match (RR = 1.88, 95% CI: 1.14 to 3.11, I² = 31.3%). However, compared with more than 1 mismatch, HLA-A, B, or DR full match were all found to have no effect on recurrence. For specific HLA antigens, HLA-B46 reduced the risk of recurrence (RR = 0.39, 95% CI: 0.16 to 0.95, I² = 0.00%), while HLA-A2, HLA-B35 HLA-DR3, and HLA-DR4 had no effect. ABO incompatibility, donor-specific antibodies, and panel reactive antibodies did not affect recurrence.

3.4.6 Immunosuppressive therapy

Patients without induction therapy had an increased risk of recurrence (RR = 1.73, 95% CI: 1.16 to 2.58, I² = 70.50%). The use of anti-IL-2-R antibodies was found to reduce the risk of recurrence by 32% (RR = 0.68, 95% CI: 0.47 to 0.99, I² = 79.80%), while antithymocyte globulin and anti-CD20 antibodies had no effect. For maintenance agents, mycophenolate mofetil (MMF) reduced the risk of recurrence (RR = 0.69, 95% CI: 0.56 to 0.86, I² = 24.90%) and use of mTOR inhibitor is associated with a higher risk (RR = 1.51, 95% CI: 1.10 to 2.06, I² = 0.00%), while steroids, tacrolimus, cyclosporine, and azathioprine had no significant effect. Pretransplant steroids or immunosuppressant exposure did not affect recurrence.

3.4.7 Other therapy

Recipients with recurrent IgAN were more likely to use angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin-receptor blockers (ARBs) (RR = 1.63, 95%CI: 1.30 to 2.05, I² = 0.00%). Patients who had tonsillectomy before KT had a 57% lower risk of recurrence (RR = 0.43, 95% CI: 0.23 to 0.79, I² = 0.00%). Plasma exchange had no effect on recurrence.

3.4.8 Other factors

Recipients with KT history had a 43% increased risk of recurrence compared to those with first KT (RR = 1.43, 95% CI: 1.24 to 1.65, I² = 47.40%). Factors such as graft rejection, hypertension, diabetes, cold ischemia time, delayed graft function, cytomegalovirus or BK virus infection, did not have an impact on recurrence.

3.4.9 Serum biomarkers

Our findings indicated that serum immunoglobulin G autoantibodies (IgG), IgA, and galactose-deficient IgA1 (Gd-IgA1) levels for recurrence were not predictive of IgAN recurrence (Table 3).

Table 3

Laboratory parametersNo. of studiesnHeterogeneityEffects modelESES [95% CI]ZP
P
IgG (g/L)
Baseline326879.70%0.0073RMD1.48 [-0.19, 3.16]1.740.0827
IgA (mg/L)
Baseline561583.20%< 0.0001RMD0.48 [-0.10, 1.05]1.630.1033
6 month222588.40%0.0033RMD0.19 [-0.83, 1.20]0.360.7197
1 year356181.30%0.0048RMD0.32 [-0.28, 0.92]1.040.2997
Gd-IgA1
Baseline54002.70%0.3911FSMD0.05 [-0.17, 0.27]0.440.6634
Hematuria
1 year323289.50%0.0021RSMD1.29 [0.10, 2.47]2.130.0328
3 year323297.90%< 0.0001RSMD1.94 [-0.65, 4.54]1.470.1425
5 year218399.30%< 0.0001RSMD5.09 [-3.10, 13.28]1.220.2231
Post KT *664677.20%0.0005RRR3.27 [1.63, 6.55]3.330.0009
Proteinuria
6 month217367.50%0.0795RSMD0.33 [-0.31, 0.96]1.010.3128
1 year547733.40%0.1989FSMD0.37 [0.17, 0.58]3.520.0004
3 year21970.00%0.9672FSMD1.76 [1.41, 2.11]9.78< 0.0001
5 year *235558.50%0.1208RRR2.19 [1.12, 4.31]2.280.0227
Time at biopsy41820.00%0.6860FSMD0.22 [-0.08, 0.53]1.460.1431
Time at biopsy *233474.90%0.0461RRR3.91 [0.88, 17.25]1.800.0722
Last follow up758785.30%< 0.0001RSMD1.25 [0.55, 1.94]3.490.0005
eGFR (ml/min/1.73m2)
Baseline21970.00%0.8518FMD-0.05 [-2.28, 2.18]-0.050.9626
6 month570829.70%0.2233FMD0.05 [-2.23, 2.33]0.040.966
2 year230795.10%< 0.0001RMD-14.37 [-37.20, 8.46]-1.230.2173
3 year360898.90%< 0.0001RMD-11.31 [-30.18, 7.57]-1.170.2403
5 year360899.30%< 0.0001RMD12.87 [-38.14, 12.40]-1.000.3181
Last follow up44100.00%0.9340FMD-12.37 [-17.25, -7.49]-4.97< 0.0001
Serum creatinine (mg/dL)
Baseline435883.80%0.0003RMD-0.05 [-0.18, 0.08]-0.760.4490
6 month217392.30%0.0003RMD-0.23 [-0.78, 0.33]-0.800.4240
1 year74690.00%0.7372FMD-0.10 [-0.30, 0.10]-1.000.3186
3 year325389.30%< 0.0001RMD0.58 [-0.14, 1.30]1.570.1156
5 year430799.80%< 0.0001RMD1.01 [-0.55, 2.57]1.270.2050
Last follow up856237.90%0.1269FMD0.49 [0.35, 0.64]6.60< 0.0001

Meta-analysis of laboratory data for IgAN recurence.

IgAN, immunoglobulin A nephropathy; ES, effect size; CI, confidence interval; R, random effects model; F, fixed effect model; MD, mean difference; SMD, standardized mean difference; RR, risk ratio; IgG, immunoglobulin G; IgA, immunoglobulin A; Gd-IgA1, galactose deficiency IgA1; KT, kidney transplantation; eGFR, estimated glomerular filtration rate.

*dichotomous variables.

3.5 Meta-analysis of hematuria and proteinuria in recurrent IgAN

The level of hematuria was found to be higher in patients with recurrence one year after transplantation, compared to those without recurrence (SMD = 1.29, 95% CI: 0.10 to 2.47, I² = 89.50%). Additionally, patients with recurrence were more likely to have hematuria, regardless of the time of occurrence (RR = 3.27, 95% CI: 1.63 to 6.55, I² = 77.20%). However, there was no significant difference in hematuria levels between the 3-year and 5-year follow-up periods. Urinary protein levels were also higher in patients with recurrence, and this difference was significant at follow-up periods (1 year, 3 years, 5 years, and the final follow-up).

3.6 Clinical outcomes of IgAN recurrence

A total of 27 studies were analyzed to determine the RR for graft loss in patients with IgAN recurrence. The results showed that the presence of IgAN recurrence was associated with poorer graft survival (RR = 2.19, 95% CI: 1.60 to 3.01, I² = 82.80%) (Table 2). IgAN recurrence did not have impact on post-transplant death or infection rates. With respect to renal function, no significant difference was found during the other time periods, except for worse renal function in patients with recurrence at the final follow-up (estimated glomerular filtration rate [eGFR]: MD = -12.37 ml/min/1.73m2, 95% CI: -17.25 to -7.49, I² = 0.00%; serum creatinine: MD = 0.49 mg/dL, 95% CI: 0.35 to 0.64, I² = 37.90%) (Table 3).

3.7 Publication bias

The majority of the P values of Egger’s test were not significant, indicating that there was no significant publication bias (Table 2). However, it is important to note that publication bias may be present in the analysis of the pooled RRs for donor types (living donor: p = 0.0003; related donor: p = 0.0001), induction with antithymocyte globulin (p = 0.0189) and graft loss outcome (p = 0.0040).

4 Discussion

In the present systematic review and meta-analysis, our aim was to evaluate the risk factors associated with the recurrence of IgAN and provide a comprehensive summary of the outcomes based on relevant articles published until now. The immediate consequence of IgAN recurrence is an increased risk of graft loss, and similar to primary IgAN, treatment options for recurrent IgAN are limited. Thus, by studying the risk factors and employing appropriate risk stratification and preventive measures, it is possible to determine the likelihood of IgAN recurrence at an early stage and consequently reduce the recurrence rate. Although some previous studies have explored the risk factors for IgAN recurrence, their findings have been controversial due to variations in selection criteria, sample size, and study design. Therefore, in this meta-analysis, we aim to identify potential risk factors for IgAN recurrence, with key findings summarized in Table 4.

Table 4

Risk factorsProtective factors
Young recipientHLA-B46 antigen
Young donorInduction with anti-IL-2-R antibodies
Rapid progression from IgAN diagnosis to ESKDMMF
Short time on dialysisPretransplant tonsillectomy
Low total HLA mismatches
Low HLA-DR mismatches
Male recipient
Related donor
Retransplantation
Hemodialysis
No induction therapy
mTOR inhibitor
ACEI/ARB

Summary of risk factors for IgAN recurrence.

IgAN, immunoglobulin A nephropathy; ESRD, end stage renal disease; HLA, human leukocyte antigen; ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blockers; MMF, mycophenolate mofetil.

IgAN is a systemic autoimmune disease which affects both the native and allograft kidney with a high recurrence (67). The “multi-hit” hypothesis is widely accepted as the pathogenesis of IgAN (67, 68). Although this hypothesis is yet to be proven, it has gained wide acceptance due to the available evidence (67). Therefore, we have attempted to establish a connection between our findings and the four stages of its pathogenesis.

The first step in the pathogenesis is an increase in circulating abnormal IgA (Gd-IgA1). The serum level of Gd-IgA1 was found to be elevated in patients with native IgAN (69). Additionally, patients who underwent KT also exhibited higher serum levels of Gd-IgA1 compared to healthy controls, both at diagnosis and at transplant (26). However, our pooled results indicate that serum Gd-IgA1 levels did not serve as a predictor for recurrence, but it is important to note that these measurements were taken at baseline. To the best of our knowledge, there have been no studies investigating the relationship between dynamic changes in serum Gd-IgA1 levels post-KT and the occurrence of recurrence. Further research in this area is imperative. The immune cells responsible for the production of Gd-IgA1 are present in the mucosa-associated lymphoid tissues, with the tonsil being a key component of these tissues (70, 71). Currently, the KDIGO clinical practice guidelines do not recommend tonsillectomy as a part of the treatment for native IgAN. However, studies have shown that tonsillectomy can lead to clinical remission and lower the incidence of ESRD in patients with native IgAN (72, 73). This finding has also been supported by a recent study with a large sample size (74). In the case of KT, our pooled results suggest that tonsillectomy may also prevent recurrence, though this conclusion is based on only 350 transplants from two studies (5, 34). Another aspect to consider is the associated risk of complications from tonsillectomy, which has been reported to range from 2.8% to 3.2% (74, 75). Therefore, it is necessary to conduct well-designed prospective studies to thoroughly evaluate the benefits and risks of tonsillectomy in the prevention and treatment of recurrent IgAN within the context of KT.

Anti-glycan immunoglobulin G autoantibodies (IgG) bind to abnormal IgA to form circulating immune complexes (76). However, no predictive effect of serum IgG on recurrence was detected in present study. Serum IgG antiglycan autoantibody level at transplant has been found to predict recurrence, but this was investigated in only one study, limiting further synthetic analysis (26). Genetic background, particularly major histocompatibility complex (MHC) sites, also play important roles in native IgAN disease (7779). However, these antigens have not been systematically studied in the context of recurrent IgAN, and our results suggest that HLA-B46 is a protective factor. We found that patients with rapid progression of the primary disease were more likely to recur, possibly due to a stronger ongoing systemic autoimmune response after KT. Additionally, our study found that older recipients had a lower risk of recurrence, which may be due to a decrease in the production of autoantibodies by the immune system with age, consistent with what is observed in primary IgAN. Theoretically, regulation of the pathogenic immune pathway may alter the natural course of the disease. However, the role of immunosuppressive drugs in native IgAN remains controversial. Patients not receiving induction therapy had a 73% increased risk of recurrence, but this may be related to HLA matching, as patients with lower HLA mismatch were more likely not to receive induction therapy. The soluble IL-2 receptor α has been found to be associated with the progression of native IgAN (80). The anti-IL-2-R antibody targets the CD25 antigen (IL-2-R) on activated T lymphocytes, thereby blocking IL-2 binding (81). As a result, there is a cell cycle arrest in the G0 or G1 phase, which inhibits T cell proliferation. This suggests that the anti-IL-2-R antibody may inhibit the production of autoantibodies mediated by the above-mentioned pathway and therefore prevent the recurrence of IgAN after KT. Of the maintenance drugs, MMF was found to lower the risk of recurrence, possibly due to its ability to inhibit B and T lymphocyte proliferation and reduce the production of autoantibodies and Gd-IgA1 (82). Although mTOR inhibitors have also been associated with inhibition of T cell proliferation, their use was found to be associated with an increased risk of recurrence, possibly because mTOR inhibitors increase proteinuria and thus increase the chance of biopsy, leading to the detection of subclinical pathological recurrence findings (83, 84).

In the final stage of pathogenesis, mesangial deposition of circulating Gd-IgA1-antiglycan IgG immune complex in the renal allograft results in cell activation and glomerular injury, ultimately leads to recurrence. Transferrin receptor 1 (TfR1) was identified as an IgA1 receptor expressed on human mesangial cells and has affinity with the immune complex formed by Gd-IgA1 and IgG (85). Our observation that related donors and patients with low HLA mismatch are more likely to recur may indicate that allografts with similar genetic backgrounds may express more IgA1 receptors and therefore have higher affinity for host circulating immune complexes. Glomerular injury results in hematuria and proteinuria production, as our study found that patients had higher levels of urinary red blood cells and urinary protein before and after recurrence, which reminds us that more attention should be paid to urinalysis in the follow-up of these patients to determine the timing of biopsy. The role of ACEI/ARB in conservative therapy for native or recurrent IgAN is well established (1, 86). Our study found that recurrent patients were more likely to receive ACEI/ARB therapy, possibly because patients with recurrence were more prone to proteinuria during the course of the disease, leading to confounding bias. Furthermore, other medications, such as MMF and other immunosuppressants may conceal the protective effect of ACEI/ARB in KT (82).

Other risk factors were also identified in our study. Male recipients were more likely to recur, consistent with the higher prevalence observed in males in native IgAN (68). The donor age of recurrent recipients was also found to be younger. The duration of dialysis in recurrent patients was 3.14 months shorter than in non-recurrent patients. It is worth noting that the duration of dialysis in living related donor recipients is usually short, and we observed that the recurrence risk of these individuals is lower. However, preemptive transplant patients and patients receiving dialysis did not differ in recurrence risk. Since recurrence increases the risk of graft failure, and the same risk factors make it easier to recur after a second or subsequent transplant. Our study lacked analysis of immunopathological and histopathological risk factors. Previous studies have shown that complement deposition, such as C4d in the glomeruli, plays an important role in graft loss in recurrent IgAN (87). Given the low prevalence of procedural biopsy, it is difficult to analyze its predictive effect on the risk of recurrence.

This study has several limitations. All the studies included in this meta-analysis are retrospective studies, which may introduce inevitable biases. Furthermore, the overall quality of the studies is rated as medium. All the patients included in the analysis had a biopsy-confirmed diagnosis of IgAN, which could potentially result in selection bias and underestimate the recurrent incidence of IgAN. Additionally, some of the analysis is based on univariate data, which could be influenced by confounding factors. A number of the identified risk factors are based on limited studies and small sample sizes, so further research is required to verify these findings. Moreover, most of the results from Egger’s test showed p-values greater than 0.05, indicating no significant publication bias in the included literature. However, we were unable to analyze publication bias for the analysis with less than 10 included articles. This limitation arises from the fact that the power of Egger’s test greatly decreases when the number of studies is small. Additionally, we restricted the study to articles published in English and Chinese, potentially excluding studies in other relevant languages and introducing publication bias. As a result, it is advisable to exercise caution when interpreting the results of this meta-analysis.

In conclusion, this meta-analysis has identified several factors associated with IgAN recurrence after KT. As patients with recurrence had poor graft outcomes, our findings may improve pre-transplant evaluation of individuals with IgAN induced renal failure. By properly stratifying risk and implementing appropriate interventions, it might be of help to enhance long-term outcomes in this population.

Statements

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.

Author contributions

YL: data curation, formal analysis, investigation, methodology, software, visualization, writing – original draft. TY: writing – original draft, data curation, formal analysis, investigation. TL: funding acquisition, supervision, validation, writing – review & editing. TS: supervision, validation, writing – review & editing, conceptualization, funding acquisition, project administration, software.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Natural Science Foundation of China (Grant number 81870513) and the Key Research funding for Sichuan province (Grant number 2021YFS0118).

Conflict of interest

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

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2023.1277017/full#supplementary-material

References

  • 1

    RodriguesJCHaasMReichHN. IgA nephropathy. Clin J Am Soc Nephrol (2017) 12(4):677–86. doi: 10.2215/CJN.07420716

  • 2

    D’AmicoG. Natural history of idiopathic IgA nephropathy: role of clinical and histological prognostic factors. Am J Kidney Dis (2000) 36(2):227–37. doi: 10.1053/ajkd.2000.8966

  • 3

    PonticelliCGlassockRJ. Posttransplant recurrence of primary glomerulonephritis. Clin J Am Soc Nephrol (2010) 5(12):2363–72. doi: 10.2215/CJN.06720810

  • 4

    JägerCStampfSMolyneuxKBarrattJGolshayanDHadayaKet al. Recurrence of IgA nephropathy after kidney transplantation: experience from the Swiss transplant cohort study. BMC Nephrol (2022) 23(1):178. doi: 10.1186/s12882-022-02802-x

  • 5

    OkumiMOkadaDUnagamiKKakutaYIizukaJTakagiTet al. Higher immunoglobulin A nephropathy recurrence in related-donor kidney transplants: The Japan Academic Consortium of Kidney Transplantation study. Int J Urol (2019) 26(9):903–9. doi: 10.1111/iju.14066

  • 6

    McDonaldSPRussGR. Recurrence of IgA nephropathy among renal allograft recipients from living donors is greater among those with zero HLA mismatches. Transplantation (2006) 82(6):759–62. doi: 10.1097/01.tp.0000230131.66971.45

  • 7

    HanSSHuhWParkSKAhnCHanJSKimSet al. Impact of recurrent disease and chronic allograft nephropathy on the long-term allograft outcome in patients with IgA nephropathy. Transpl Int (2010) 23(2):169–75. doi: 10.1111/j.1432-2277.2009.00966.x

  • 8

    KimYYeoSMKangSSParkWYJinKParkSBet al. Long-term clinical outcomes of first and second kidney transplantation in patients with biopsy-proven IgA nephropathy. Transplant Proc (2017) 49(5):992–6. doi: 10.1016/j.transproceed.2017.03.063

  • 9

    NoguchiHTsuchimotoAUekiKKakuKOkabeYNakamuraM. Reduced recurrence of primary IgA nephropathy in kidney transplant recipients receiving everolimus with corticosteroid: A retrospective, single-center study of 135 transplant patients. Transplant Proc (2020) 52(10):3118–24. doi: 10.1016/j.transproceed.2020.05.022

  • 10

    LiberatiAAltmanDGTetzlaffJMulrowCGøtzschePCIoannidisJPet al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. Bmj (2009) 339:b2700. doi: 10.1136/bmj.b2700

  • 11

    StroupDFBerlinJAMortonSCOlkinIWilliamsonGDRennieDet al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. Jama (2000) 283(15):2008–12. doi: 10.1001/jama.283.15.2008

  • 12

    StangA. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol (2010) 25(9):603–5. doi: 10.1007/s10654-010-9491-z

  • 13

    WanXWangWLiuJTongT. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol (2014) 14:135. doi: 10.1186/1471-2288-14-135

  • 14

    LuoDWanXLiuJTongT. Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range. Stat Methods Med Res (2018) 27(6):1785–805. doi: 10.1177/0962280216669183

  • 15

    JiSNiXXieKLiXWenJChengDet al. Recurrent IgA nephropathy after renal transplantation: not always a benign prognosis. Organ Transplant (2016) 7:94–9. doi: 10.3969 /j.issn.1674-7445. 2016. 02. 003

  • 16

    WangYWangKLiMQuQ. Risk factors for recurrence of IgA nephropathy after kidney transplantation. Prac J Organ Transplant (Electronic Version) (2021) 9:126–30. doi: 10.3969/j.issn.2095-5332.2021.02.009

  • 17

    AhnSMinSIMinSKHaISKangHGKimYSet al. Different recurrence rates between pediatric and adult renal transplant for immunoglobulin A nephropathy: predictors of posttransplant recurrence. Exp Clin Transplant (2015) 13(3):227–32. doi: 10.6002/ect.2014.0291

  • 18

    AllenPJChadbanSJCraigJCLimWHAllenRDMClaytonPAet al. Recurrent glomerulonephritis after kidney transplantation: risk factors and allograft outcomes. Kidney Int (2017) 92(2):461–9. doi: 10.1016/j.kint.2017.03.015

  • 19

    AndresdottirMBHoitsmaAJAssmannKJWetzelsJF. Favorable outcome of renal transplantation in patients with IgA nephropathy. Clin Nephrol (2001) 56(4):279–88.

  • 20

    AvasareRSRosenstielPEZakyZSTsapepasDSAppelGBMarkowitzGSet al. Predicting post-transplant recurrence of IgA nephropathy: the importance of crescents. Am J Nephrol (2017) 45(2):99106. doi: 10.1159/000453081

  • 21

    BachmanUBiavaCAmendW. The clinical course of IgA-nephropathy and Henoch-Schonlein purpura following renal transplantation. Transplantation (1986) 42(5):511–5. doi: 10.1097/00007890-198611000-00014

  • 22

    BantisCHeeringPJAkerSSchwandtCGrabenseeBIvensK. Influence of interleukin-10 gene G-1082A polymorphism on recurrent IgA nephropathy. J Nephrol (2008) 21(6):941–6.

  • 23

    BergerJNoëlLHNabarraB. Recurrence of mesangial IgA nephropathy after renal transplantation. Contrib Nephrol (1984) 40:195–7. doi: 10.1159/000409749

  • 24

    BerthelotLRobertTVuibletVTabaryTBraconnierADraméMet al. Recurrent IgA nephropathy is predicted by altered glycosylated IgA, autoantibodies and soluble CD89 complexes. Kidney Int (2015) 88(4):815–22. doi: 10.1038/ki.2015.158

  • 25

    BerthouxFEl DeebSMariatCDiconneELaurentBThibaudinL. Antithymocyte globulin (ATG) induction therapy and disease recurrence in renal transplant recipients with primary IgA nephropathy. Transplantation (2008) 85(10):1505–7. doi: 10.1097/TP.0b013e3181705ad4

  • 26

    BerthouxFSuzukiHMoheyHMaillardNMariatCNovakJet al. Prognostic value of serum biomarkers of autoimmunity for recurrence of IgA nephropathy after kidney transplantation. J Am Soc Nephrol (2017) 28(6):1943–50. doi: 10.1681/ASN.2016060670

  • 27

    BjørneklettRVikseBESmerudHKBostadLLeivestadTHartmannAet al. Pre-transplant course and risk of kidney transplant failure in IgA nephropathy patients. Clin Transplant (2011) 25(3):E356–365. doi: 10.1111/j.1399-0012.2011.01424.x

  • 28

    BumgardnerGLAmendWCAscherNLVincentiFG. Single-center long-term results of renal transplantation for IgA nephropathy. Transplantation (1998) 65(8):1053–60. doi: 10.1097/00007890-199804270-00008

  • 29

    ChackoBGeorgeJTNeelakantanNKorulaAChakkoJK. Outcomes of renal transplantation in patients with immunoglobulin A nephropathy in India. J Postgrad Med (2007) 53(2):92–5. doi: 10.4103/0022-3859.32207

  • 30

    ChandrakantanARatanapanichkichPSaidMBarkerCVJulianBA. Recurrent IgA nephropathy after renal transplantation despite immunosuppressive regimens with mycophenolate mofetil. Nephrol Dial Transplant (2005) 20(6):1214–21. doi: 10.1093/ndt/gfh773

  • 31

    ChoyBYChanTMLoSKLoWKLaiKN. Renal transplantation in patients with primary immunoglobulin A nephropathy. Nephrol Dial Transplant (2003) 18(11):2399–404. doi: 10.1093/ndt/gfg373

  • 32

    CoppoRAmoreAChiesaMLombardoFCirinaPAndrulliSet al. Serological and genetic factors in early recurrence of IgA nephropathy after renal transplantation. Clin Transplant (2007) 21(6):728–37. doi: 10.1111/j.1399-0012.2007.00730.x

  • 33

    CourtneyAEMcNameePTNelsonWEMaxwellAP. Does angiotensin blockade influence graft outcome in renal transplant recipients with IgA nephropathy? Nephrol Dial Transplant (2006) 21(12):3550–4. doi: 10.1093/ndt/gfl506

  • 34

    Di VicoMCMessinaMFopFBarrecaASegoloniGPBianconeL. Recurrent IgA nephropathy after renal transplantation and steroid withdrawal. Clin Transplant (2018) 32(4):e13207. doi: 10.1111/ctr.13207

  • 35

    FreesePSvalanderCNordénGNybergG. Clinical risk factors for recurrence of IgA nephropathy. Clin Transplant (1999) 13(4):313–7. doi: 10.1034/j.1399-0012.1999.130406.x

  • 36

    GarnierASDuveauADemiselleJCrouéASubraJFSayeghJet al. Early post-transplant serum IgA level is associated with IgA nephropathy recurrence after kidney transplantation. PloS One (2018) 13(4):e0196101. doi: 10.1371/journal.pone.0196101

  • 37

    JeongHJParkSKChoYMKimMSKimYSChoiJet al. Progression of renal allograft histology after renal transplantation in recurrent and nonrecurrent immunoglobulin A nephropathy. Hum Pathol (2008) 39(10):1511–8. doi: 10.1016/j.humpath.2008.03.003

  • 38

    JiangSHKennardALWaltersGD. Recurrent glomerulonephritis following renal transplantation and impact on graft survival. BMC Nephrol (2018) 19(1):344. doi: 10.1186/s12882-018-1135-7

  • 39

    JoHAHanSSLeeSKimJYYangSHLeeHet al. The association of tumor necrosis factor superfamily 13 with recurrence of immunoglobulin A nephropathy in living related kidney transplantation. BMC Nephrol (2019) 20(1):33. doi: 10.1186/s12882-019-1222-4

  • 40

    Kamal AzizAMoussonCBerthouxFDuclouxDChalopinJM. Renal transplantation outcome in selected recipients with IgA nephropathy as native disease: a bicentric study. Ann Transplant (2012) 17(3):4551. doi: 10.12659/aot.883457

  • 41

    KavanaghCRZanoniFLealRJainNGStackMNVasilescuERet al. Clinical predictors and prognosis of recurrent IgA nephropathy in the kidney allograft. Glomerular Dis (2022) 2(1):4253. doi: 10.1159/000519834

  • 42

    KawabeMYamamotoIKomatsuzakiYYamakawaTKatsumataHKatsumaAet al. Recurrence and graft loss after renal transplantation in adults with IgA vasculitis. Clin Exp Nephrol (2017) 21(4):714–20. doi: 10.1007/s10157-016-1336-y

  • 43

    KennardALJiangSHWaltersGD. Increased glomerulonephritis recurrence after living related donation. BMC Nephrol (2017) 18(1):25. doi: 10.1186/s12882-016-0435-z

  • 44

    KesslerMHiesseCHestinDMayeuxDBoubeniderKCharpentierB. Recurrence of immunoglobulin A nephropathy after renal transplantation in the cyclosporine era. Am J Kidney Dis (1996) 28(1):99104. doi: 10.1016/S0272-6386(96)90137-7

  • 45

    KimYSMoonJIJeongHJKimMSKimSIChoiKHet al. Live donor renal allograft in end-stage renal failure patients from immunoglobulin A nephropathy. Transplantation (2001) 71(2):233–8. doi: 10.1097/00007890-200101270-00011

  • 46

    LeeKWKimKSLeeJSYooHKimKParkJBet al. Impact of induction immunosuppression on the recurrence of primary IgA nephropathy. Transplant Proc (2019) 51(5):1491–5. doi: 10.1016/j.transproceed.2019.01.115

  • 47

    LionakiSMakropoulosIPanagiotellisKVlachopanosGGavalasIMarinakiSet al. Kidney transplantation outcomes in patients with IgA nephropathy and other glomerular and non-glomerular primary diseases in the new era of immunosuppression. PloS One (2021) 16(8):e0253337. doi: 10.1371/journal.pone.0253337

  • 48

    MaixnerovaDHrubaPNeprasovaMBednarovaKSlatinskaJSuchanekMet al. Outcome of 313 Czech patients with IgA nephropathy after renal transplantation. J Am Soc Nephrol (2021) 32:846. doi: 10.3389/fimmu.2021.726215

  • 49

    Martín-PenagosLBenito-HernándezASan SegundoDSangoCAzuetaAGómez-RománJet al. A proliferation-inducing ligand increase precedes IgA nephropathy recurrence in kidney transplant recipients. Clin Transplant (2019) 33(4):e13502. doi: 10.1111/ctr.13502

  • 50

    MoriyamaTNittaKSuzukiKHondaKHoritaSUchidaKet al. Latent IgA deposition from donor kidney is the major risk factor for recurrent IgA nephropathy in renal transplantation. Clin Transplant (2005) 19 Suppl 14:41–8. doi: 10.1111/j.1399-0012.2005.00403.x

  • 51

    MoroniGLonghiSQuagliniSGallelliBBanfiGMontagninoGet al. The long-term outcome of renal transplantation of IgA nephropathy and the impact of recurrence on graft survival. Nephrol Dial Transplant (2013) 28(5):1305–14. doi: 10.1093/ndt/gfs472

  • 52

    NakamuraTShirouzuTHaradaSSugimotoRNoboriSYoshikawaMet al. The abundance of antigalactose-deficient IgA1 autoantibodies results in glomerular deposition and IgA nephropathy recurrence after renal transplantation. Transplantation (2021) 105(12):e407–8. doi: 10.1097/TP.0000000000003879

  • 53

    NambaYOkaKMoriyamaTIchimaruNKyoMKokadoYet al. Risk factors for graft loss in patients with recurrent IGA nephropathy after renal transplantation. Transplant Proc (2004) 36(5):1314–6. doi: 10.1016/j.transproceed.2004.05.044

  • 54

    NgYSVathsalaAChewSTChiangGSWooKT. Long term outcome of renal allografts in patients with immunoglobulin A nephropathy. Med J Malaysia (2007) 62(2):109–13.

  • 55

    NijimSVujjiniVAlasfarSLuoXOrandiBDelpCet al. Recurrent IgA nephropathy after kidney transplantation. Transplant Proc (2016) 48(8):2689–94. doi: 10.1016/j.transproceed.2016.08.011

  • 56

    OdumJPehCAClarksonARBannisterKMSeymourAEGillisDet al. Recurrent mesangial IgA nephritis following renal transplantation. Nephrol Dial Transplant (1994) 9(3):309–12.

  • 57

    OrtizFGelpiRKoskinenPManonellesARäisänen-SokolowskiACarreraMet al. IgA nephropathy recurs early in the graft when assessed by protocol biopsy. Nephrol Dial Transplant (2012) 27(6):2553–8. doi: 10.1093/ndt/gfr664

  • 58

    ParkWYKimYPaekJHJinKHanS. Clinical significance of serum galactose-deficient immunoglobulin A1 for detection of recurrent immunoglobulin A nephropathy in kidney transplant recipients. Kidney Res Clin Pract (2021) 40(2):317–24. doi: 10.23876/j.krcp.20.183

  • 59

    PonticelliCTraversiLFelicianiACesanaBMBanfiGTarantinoA. Kidney transplantation in patients with IgA mesangial glomerulonephritis. Kidney Int (2001) 60(5):1948–54. doi: 10.1046/j.1523-1755.2001.00006.x

  • 60

    RodasLMRuiz-OrtizEGarcia-HerreraAPereiraABlascoMVentura-AguiarPet al. IgA nephropathy recurrence after kidney transplantation: role of recipient age and human leukocyte antigen-B mismatch. Am J Nephrol (2020) 51(5):357–65. doi: 10.1159/000506853

  • 61

    SatoKIshidaHUchidaKNittaKTanabeK. Risk factors for recurrence of immunoglobulin a nephropathy after renal transplantation: single center study. Ther Apher Dial (2013) 17(2):213–20. doi: 10.1111/j.1744-9987.2012.01139.x

  • 62

    SofueTInuiMHaraTMoritokiMNishiokaSNishijimaYet al. Latent IgA deposition from donor kidneys does not affect transplant prognosis, irrespective of mesangial expansion. Clin Transplant (2013) 27 Suppl 26:1421. doi: 10.1111/ctr.12158

  • 63

    TemurhanSAkgulSUCaliskanYArtanASKekikCYaziciHet al. A novel biomarker for post-transplant recurrent IgA nephropathy. Transplant Proc (2017) 49(3):541–5. doi: 10.1016/j.transproceed.2017.02.003

  • 64

    UffingAPerez-SaezMJJouveTBugnazetMMalvezziPMuhsinSAet al. Recurrence of IgA nephropathy after kidney transplantation in adults. Clin J Am Soc Nephrol (2021) 16(8):1247–55. doi: 10.2215/CJN.00910121

  • 65

    Von VisgerJRGunayYAndreoniKABhattUYNoriUSPesaventoTEet al. The risk of recurrent IgA nephropathy in a steroid-free protocol and other modifying immunosuppression. Clin Transplant (2014) 28(8):845–54. doi: 10.1111/ctr.12389

  • 66

    WangAYLaiFMYuAWLamPKChowKMChoiPCet al. Recurrent IgA nephropathy in renal transplant allografts. Am J Kidney Dis (2001) 38(3):588–96. doi: 10.1053/ajkd.2001.26885

  • 67

    SuzukiHKirylukKNovakJMoldoveanuZHerrABRenfrowMBet al. The pathophysiology of IgA nephropathy. J Am Soc Nephrol (2011) 22(10):1795–803. doi: 10.1681/ASN.2011050464

  • 68

    LaiKNTangSCSchenaFPNovakJTominoYFogoABet al. IgA nephropathy. Nat Rev Dis Primers (2016) 2:16001. doi: 10.1038/nrdp.2016.1

  • 69

    MoldoveanuZWyattRJLeeJYTomanaMJulianBAMesteckyJet al. Patients with IgA nephropathy have increased serum galactose-deficient IgA1 levels. Kidney Int (2007) 71(11):1148–54. doi: 10.1038/sj.ki.5002185

  • 70

    NakataJSuzukiYSuzukiHSatoDKanoTHorikoshiSet al. Experimental evidence of cell dissemination playing a role in pathogenesis of IgA nephropathy in multiple lymphoid organs. Nephrol Dial Transplant (2013) 28(2):320–6. doi: 10.1093/ndt/gfs467

  • 71

    MutoMManfroiBSuzukiHJohKNagaiMWakaiSet al. Toll-like receptor 9 stimulation induces aberrant expression of a proliferation-inducing ligand by tonsillar germinal center B cells in igA nephropathy. J Am Soc Nephrol (2017) 28(4):1227–38. doi: 10.1681/ASN.2016050496

  • 72

    LiuLLWangLNJiangYYaoLDongLPLiZLet al. Tonsillectomy for IgA nephropathy: a meta-analysis. Am J Kidney Dis (2015) 65(1):80–7. doi: 10.1053/j.ajkd.2014.06.036

  • 73

    RovinBHAdlerSGBarrattJBridouxFBurdgeKAChanTMet al. Executive summary of the KDIGO 2021 guideline for the management of glomerular diseases. Kidney Int (2021) 100(4):753–79. doi: 10.1016/j.kint.2021.05.015

  • 74

    HiranoKMatsuzakiKYasudaTNishikawaMYasudaYKoikeKet al. Association between tonsillectomy and outcomes in patients with immunoglobulin A nephropathy. JAMA Netw Open (2019) 2(5):e194772. doi: 10.1001/jamanetworkopen.2019.4772

  • 75

    ChenMMRomanSASosaJAJudsonBL. Safety of adult tonsillectomy: a population-level analysis of 5968 patients. JAMA Otolaryngol Head Neck Surg (2014) 140(3):197202. doi: 10.1001/jamaoto.2013.6215

  • 76

    RizkDVSahaMKHallSNovakLBrownRHuangZQet al. Glomerular immunodeposits of patients with IgA nephropathy are enriched for igG autoantibodies specific for galactose-deficient IgA1. J Am Soc Nephrol (2019) 30(10):2017–26. doi: 10.1681/ASN.2018111156

  • 77

    FeehallyJFarrallMBolandAGaleDPGutIHeathSet al. HLA has strongest association with IgA nephropathy in genome-wide analysis. J Am Soc Nephrol (2010) 21(10):1791–7. doi: 10.1681/ASN.2010010076

  • 78

    KirylukKLiYScolariFSanna-CherchiSChoiMVerbitskyMet al. Discovery of new risk loci for IgA nephropathy implicates genes involved in immunity against intestinal pathogens. Nat Genet (2014) 46(11):1187–96. doi: 10.1038/ng.3118

  • 79

    DoxiadisIIDe LangePDe VriesEPersijnGGClaasFH. Protective and susceptible HLA polymorphisms in IgA nephropathy patients with end-stage renal failure. Tissue Antigens (2001) 57(4):344–7. doi: 10.1034/j.1399-0039.2001.057004344.x

  • 80

    LundbergSLundahlJGunnarssonISundelinBJacobsonSH. Soluble interleukin-2 receptor alfa predicts renal outcome in IgA nephropathy. Nephrol Dial Transplant (2012) 27(5):1916–23. doi: 10.1093/ndt/gfr554

  • 81

    CibrikDMKaplanBMeier-KriescheHU. Role of anti-interleukin-2 receptor antibodies in kidney transplantation. BioDrugs (2001) 15(10):655–66. doi: 10.2165/00063030-200115100-00003

  • 82

    SieversTMRossiSJGhobrialRMArriolaENishimuraPKawanoMet al. Mycophenolate mofetil. Pharmacotherapy (1997) 17(6):1178–97. doi: 10.1002/j.1875-9114.1997.tb03082.x

  • 83

    SennesaelJJBosmansJLBogersJPVerbeelenDVerpootenGA. Conversion from cyclosporine to sirolimus in stable renal transplant recipients. Transplantation (2005) 80(11):1578–85. doi: 10.1097/01.tp.0000184623.35773.6a

  • 84

    StephanyBRAugustineJJKrishnamurthiVGoldfarbDAFlechnerSMBraunWEet al. Differences in proteinuria and graft function in de novo sirolimus-based vs. calcineurin inhibitor-based immunosuppression in live donor kidney transplantation. Transplantation (2006) 82(3):368–74. doi: 10.1097/01.tp.0000228921.43200.f7

  • 85

    NiheiYSuzukiHSuzukiY. Current understanding of IgA antibodies in the pathogenesis of IgA nephropathy. Front Immunol (2023) 14:1165394. doi: 10.3389/fimmu.2023.1165394

  • 86

    ParkSBaekCHGoHKimYHMinSIHaJet al. Possible beneficial association between renin-angiotensin-aldosterone-system blockade usage and graft prognosis in allograft IgA nephropathy: a retrospective cohort study. BMC Nephrol (2019) 20(1):354. doi: 10.1186/s12882-019-1537-1

  • 87

    EderMKozakowskiNOmicHAignerCKlägerJPerschlBet al. Glomerular C4d in Post-Transplant IgA Nephropathy is associated with decreased allograft survival. J Nephrol (2021) 34(3):839–49. doi: 10.1007/s40620-020-00914-x

Summary

Keywords

IgA nephropathy, risk factors, kidney transplantation, recurrence, graft survival, systematic review

Citation

Li Y, Tang Y, Lin T and Song T (2023) Risk factors and outcomes of IgA nephropathy recurrence after kidney transplantation: a systematic review and meta-analysis. Front. Immunol. 14:1277017. doi: 10.3389/fimmu.2023.1277017

Received

13 August 2023

Accepted

09 November 2023

Published

28 November 2023

Volume

14 - 2023

Edited by

Stanislaw Stepkowski, University of Toledo, United States

Reviewed by

Gian Marco Ghiggeri, Giannina Gaslini Institute (IRCCS), Italy; Zeljko Kikic, Medical University of Vienna, Austria

Updates

Copyright

*Correspondence: Turun Song,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Outline

Figures

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics