# De Novo Donor-Specific HLA Antibodies Developing Early or Late after Transplant Are Associated with the Same Risk of Graft Damage and Loss in Nonsensitized Kidney Recipients

Authors: Michela Cioni; Arcangelo Nocera; Annalisa Innocente; Augusto Tagliamacco; Antonella Trivelli; Sabrina Basso; Giuseppe Quartuccio; Iris Fontana; Alberto Magnasco; Francesca Drago; Antonella Gurrado; Ilaria Guido; Francesca Compagno; Giacomo Garibotto; Catherine Klersy; Enrico Verrina; Gian Marco Ghiggeri; Massimo Cardillo; Patrizia Comoli; Fabrizio Ginevri
Journal: Journal of Immunology Research
 (2017)

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## Abstract

De novo posttransplant donor-specific HLA-antibody (dnDSA) detection is now recognized as a tool to identify patients at risk for antibody-mediated rejection (AMR) and graft loss. It is still unclear whether the time interval from transplant to DSA occurrence influences graft damage. Utilizing sera collected longitudinally, we evaluated 114 consecutive primary pediatric kidney recipients grafted between 2002 and 2013 fordnDSA occurrence by Luminex platform.dnDSAs occurred in 39 patients at a median time of 24.6 months. In 15 patients,dnDSAs developed within 1 year (early-onset group), while the other 24 seroconverted after the first posttransplant year (late-onset group). The two groups were comparable when considering patient- and transplant-related factors, as well as DSA biological properties, including C1q and C3d complement-binding ability. Only recipient age at transplant significantly differed in the two cohorts, with younger patients showing earlierdnDSA development. Late AMR was diagnosed in 47% of theearly group and in 58% of thelategroup. Graft loss occurred in 3/15 (20%) and 4/24 (17%) patients inearly- andlate-onset groups, respectively (p = ns). In our pediatric kidney recipients,dnDSAs predict AMR and graft loss irrespective of the time elapsed between transplantation and antibody occurrence.


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## Body

## 1. Introduction

Humoral alloimmunity leading to chronic antibody-mediated rejection (AMR) has been recognized as a major obstacle to long-term kidney graft (KTx) survival [1–5]. In addition to sensitized patients who suffer from poorer kidney graft outcome due to a higher incidence of AMR, a number of pretransplant HLA-antibody-negative kidney recipients, usually considered at low immunological risk, will also develop chronic allograft dysfunction and, ultimately, graft loss [6–16]. A positive association between the presence of de novo posttransplant donor-specific HLA antibodies (dnDSAs) after transplantation and poor transplant outcome has been demonstrated also in this patient category. This observation has prompted recommendations on posttransplant HLA-antibody monitoring as a tool to identify patients at risk for antibody-mediated rejection and graft loss [6–16].It has also been shown that DSA development continues as an active process even many years after transplantation [12, 14–17], and although DSAs may be detected also in patients with long-term functioning allografts, persistent kidney loss due to antibody-mediated injury is observed throughout the whole posttransplant period [5]. Time to DSA development has been suggested as a variable that could impact transplant outcome, withearly-onset DSAs being associated with lower graft survival [7], but data on this clinical scenario are not conclusive [9, 17].We conducted a longitudinal analysis on a pediatric cohort of pretransplant HLA-antibody-negative, first kidney recipients sequentially monitored for posttransplant DSA onset and alloantibody biological properties, in order to evaluate whether the timing ofdnDSA appearance could influence AMR development and graft outcome.


## 2. Patients and Methods

### 2.1. Patients

Between July 2002 and March 2013, 125 consecutive patients were referred to the Genoa Pediatric Kidney Transplant Program for first allografting. Pretransplant patient sera were screened periodically for the presence of panel reactive anti-HLA antibodies by complement dependent cytotoxicity technique and by a bead-based assay [12]. All grafts were performed after a negative T cell crossmatch. Our standard of care for low immunological risk kidney transplant patients consisted of induction with basiliximab and a triple drug immunosuppressive regimen including a calcineurin inhibitor (cyclosporin A or tacrolimus), mycophenolate mofetil, and prednisone. Biopsy-proven acute cellular rejection episodes were treated with pulse intravenous methylprednisolone. Patients developing late AMR, as evidenced by circulating HLA DSAs and histological features of antibody-mediated tissue and vascular injuries, were treated with a protocol including a combination of plasmaphereses, i.v. human Ig, and anti-CD20 monoclonal antibody. Graft function was estimated by calculating eGFR using the Schwartz [18] or MDRD [19] formula, when appropriate.Graft biopsies were performed for clinical indication (graft function decline and/or proteinuria); since 2010, DSA positivity was also included among indications. Rejections were histologically graded following the Banff 97 criteria with updates. Banff 2009 and Banff 2013 criteria were employed for classifying C4d positive and negative AMR [20, 21]. All biopsies performed before 2014 were regraded according to the Banff 2013 criteria. C4d staining was performed on frozen sections by indirect immunofluorescence.This study was approved by the Institutional Review Board of the Fondazione Ca’ Granda, Ospedale Maggiore Policlinico, Milano (867/2014).


### 2.2. Detection and Characterization of HLA Antibodies

Recipients of first graft who were found positive for the presence of anti-HLA antibodies in current and/or historical pretransplant sera (n=11) were not included, resulting in a total of 114 nonsensitized first kidney allograft pediatric recipients monitored fordnDSA (Table 1). Sera for HLA-antibody monitoring were collected at transplantation, every three months in the first posttransplant year and annually thereafter. Samples obtained before 01/2010 belonged to a unique source of sera analyzed retrospectively for HLA antibodies, while from 02/2010 all samples were collected and analyzed prospectively [12]. An average of >8 samples per patient were analyzed. Complement-binding activity was analyzed on sera collected at DSA appearance and at biopsy or at follow-up.Table 1
Clinical features of the patients analysed and according to the date of de novo donor specific HLA antibody (dnDSA) onset.
Variables
All patients(n=114)
All patients withdnDSAs (n=39)
Patients withdnDSAs occurring within year 1 (n=15)
Patients withdnDSAs occurring beyond year 1 (n=24)
p value
Characteristics at Tx
Recipient
Male sex
69 (60.5%)
27 (69%)
12 (80%)
15 (62.5%)
0.30
Age
13.4
13.20
10.27
15.03
<0.05
Donor
Male sex
70 (61.4%)
25 (64%)
11 (73%)
14 (58%)
0.50
Age
17.2
13.15
11.53
14.17
0.46
Deceased
97 (85%)
36 (92%)
14 (93%)
22 (92%)
1
Transplantation
Number of total HLA A, B mismatches
2.36
2.56
2.47
2.63
0.70
Number of total HLA DR, DQ mismatches
1.61
1.85
2.00
1.75
0.42
Number of total HLA A, B, DR, DQ mismatches
3.97
4.41
4.47
4.38
0.81
Characteristics after Tx
CyA in maintenance IS
66 (58%)
30 (77%)
10 (67%)
20 (83%)
0.27
Delayed graft function
13 (11%)
4 (10%)
1 (7%)
3 (12%)
0.50
Acute T cell-mediated rejection∗
18 (16%)
8 (20%)
2 (13%)
6 (25%)
0.45
eGFR < 60 at 1 year
14 (12%)
7 (18%)
1 (7%)
6 (25%)
0.21
AMR
21 (18%)
21 (54%)
7 (47%)
14 (58%)
0.52
∗Including borderline changes.
Tx: transplantation; CyA: cyclosporin A; IS: maintenance immunosuppression; eGFR: estimated glomerular filtration rate (ml/min/1.73 m2).HLA typing of kidney graft recipients and donors was performed as previously described [22]. Anti-HLA class I and class II IgG antibodies were tested with a bead-based detection assay after serum EDTA treatment, to avoid underestimation of antibody MFI strength [23–25]. We used the LABScreen Mixed kit and the Single-Antigen Bead (SAB) assays (One Lambda Inc., CA, USA) to identify HLA class I and class II specificities [12, 22]. Screening assay results above a cut-off value of 3.0 ratio between the sample and negative control were considered positive. Single-antigen results above a MFI cut-off value of 1.000 were considered positive. Heat inactivated patient sera were tested with C1qScreen™ (One Lambda) for identification of complement-binding antibodies, as described [26]. Antibody positivity was assigned at >500 MFI. Serum samples were analyzed in a blinded fashion for the presence of C3d-binding DSA with the single-antigen flow bead technology, according to the manufacturer’s protocol (Immucor Lifecode Transplant Diagnostics Nijlen, Belgium). Positivity was assigned as previously detailed [27].


### 2.3. Statistical Analysis

Data were described as the mean and standard deviation (SD) or median and range if continuous and as count and percent if categorical. To determine differences among patient groups, categorical variables were compared by chi-squared analysis, continuous variables witht-tests, and, if skewed, nonparametric tests (Kruskal-Wallis one-way analysis of variance, Mann–Whitney U test). p values < 0.05 were considered statistically significant. Event-free survival was estimated with the Kaplan-Meier method and was compared between risk groups with the log-rank test. For graft failure, censoring event was death with functioning graft. For AMR, censoring event was graft failure. Patients who did not experience graft failure or AMR were censored at the end of the follow-up. Stata 13 (Stata Corporation, College Station, TX, USA) or the NCSS System (NCSS, Cary, NC) was used for computation.


## 2.1. Patients

Between July 2002 and March 2013, 125 consecutive patients were referred to the Genoa Pediatric Kidney Transplant Program for first allografting. Pretransplant patient sera were screened periodically for the presence of panel reactive anti-HLA antibodies by complement dependent cytotoxicity technique and by a bead-based assay [12]. All grafts were performed after a negative T cell crossmatch. Our standard of care for low immunological risk kidney transplant patients consisted of induction with basiliximab and a triple drug immunosuppressive regimen including a calcineurin inhibitor (cyclosporin A or tacrolimus), mycophenolate mofetil, and prednisone. Biopsy-proven acute cellular rejection episodes were treated with pulse intravenous methylprednisolone. Patients developing late AMR, as evidenced by circulating HLA DSAs and histological features of antibody-mediated tissue and vascular injuries, were treated with a protocol including a combination of plasmaphereses, i.v. human Ig, and anti-CD20 monoclonal antibody. Graft function was estimated by calculating eGFR using the Schwartz [18] or MDRD [19] formula, when appropriate.Graft biopsies were performed for clinical indication (graft function decline and/or proteinuria); since 2010, DSA positivity was also included among indications. Rejections were histologically graded following the Banff 97 criteria with updates. Banff 2009 and Banff 2013 criteria were employed for classifying C4d positive and negative AMR [20, 21]. All biopsies performed before 2014 were regraded according to the Banff 2013 criteria. C4d staining was performed on frozen sections by indirect immunofluorescence.This study was approved by the Institutional Review Board of the Fondazione Ca’ Granda, Ospedale Maggiore Policlinico, Milano (867/2014).


## 2.2. Detection and Characterization of HLA Antibodies

Recipients of first graft who were found positive for the presence of anti-HLA antibodies in current and/or historical pretransplant sera (n=11) were not included, resulting in a total of 114 nonsensitized first kidney allograft pediatric recipients monitored fordnDSA (Table 1). Sera for HLA-antibody monitoring were collected at transplantation, every three months in the first posttransplant year and annually thereafter. Samples obtained before 01/2010 belonged to a unique source of sera analyzed retrospectively for HLA antibodies, while from 02/2010 all samples were collected and analyzed prospectively [12]. An average of >8 samples per patient were analyzed. Complement-binding activity was analyzed on sera collected at DSA appearance and at biopsy or at follow-up.Table 1
Clinical features of the patients analysed and according to the date of de novo donor specific HLA antibody (dnDSA) onset.
Variables
All patients(n=114)
All patients withdnDSAs (n=39)
Patients withdnDSAs occurring within year 1 (n=15)
Patients withdnDSAs occurring beyond year 1 (n=24)
p value
Characteristics at Tx
Recipient
Male sex
69 (60.5%)
27 (69%)
12 (80%)
15 (62.5%)
0.30
Age
13.4
13.20
10.27
15.03
<0.05
Donor
Male sex
70 (61.4%)
25 (64%)
11 (73%)
14 (58%)
0.50
Age
17.2
13.15
11.53
14.17
0.46
Deceased
97 (85%)
36 (92%)
14 (93%)
22 (92%)
1
Transplantation
Number of total HLA A, B mismatches
2.36
2.56
2.47
2.63
0.70
Number of total HLA DR, DQ mismatches
1.61
1.85
2.00
1.75
0.42
Number of total HLA A, B, DR, DQ mismatches
3.97
4.41
4.47
4.38
0.81
Characteristics after Tx
CyA in maintenance IS
66 (58%)
30 (77%)
10 (67%)
20 (83%)
0.27
Delayed graft function
13 (11%)
4 (10%)
1 (7%)
3 (12%)
0.50
Acute T cell-mediated rejection∗
18 (16%)
8 (20%)
2 (13%)
6 (25%)
0.45
eGFR < 60 at 1 year
14 (12%)
7 (18%)
1 (7%)
6 (25%)
0.21
AMR
21 (18%)
21 (54%)
7 (47%)
14 (58%)
0.52
∗Including borderline changes.
Tx: transplantation; CyA: cyclosporin A; IS: maintenance immunosuppression; eGFR: estimated glomerular filtration rate (ml/min/1.73 m2).HLA typing of kidney graft recipients and donors was performed as previously described [22]. Anti-HLA class I and class II IgG antibodies were tested with a bead-based detection assay after serum EDTA treatment, to avoid underestimation of antibody MFI strength [23–25]. We used the LABScreen Mixed kit and the Single-Antigen Bead (SAB) assays (One Lambda Inc., CA, USA) to identify HLA class I and class II specificities [12, 22]. Screening assay results above a cut-off value of 3.0 ratio between the sample and negative control were considered positive. Single-antigen results above a MFI cut-off value of 1.000 were considered positive. Heat inactivated patient sera were tested with C1qScreen™ (One Lambda) for identification of complement-binding antibodies, as described [26]. Antibody positivity was assigned at >500 MFI. Serum samples were analyzed in a blinded fashion for the presence of C3d-binding DSA with the single-antigen flow bead technology, according to the manufacturer’s protocol (Immucor Lifecode Transplant Diagnostics Nijlen, Belgium). Positivity was assigned as previously detailed [27].


## 2.3. Statistical Analysis

Data were described as the mean and standard deviation (SD) or median and range if continuous and as count and percent if categorical. To determine differences among patient groups, categorical variables were compared by chi-squared analysis, continuous variables witht-tests, and, if skewed, nonparametric tests (Kruskal-Wallis one-way analysis of variance, Mann–Whitney U test). p values < 0.05 were considered statistically significant. Event-free survival was estimated with the Kaplan-Meier method and was compared between risk groups with the log-rank test. For graft failure, censoring event was death with functioning graft. For AMR, censoring event was graft failure. Patients who did not experience graft failure or AMR were censored at the end of the follow-up. Stata 13 (Stata Corporation, College Station, TX, USA) or the NCSS System (NCSS, Cary, NC) was used for computation.


## 3. Results

### 3.1. Clinical and Immunological Characteristics of the Patients according to Time ofdnDSA Development

The cohort median follow-up was 6.7 years (range 2.0–12.6). Antibody identification was based on longitudinal analysis of collected sera in both retrospective and prospective sample series. Among the 114 patients analyzed, 39 patients (34%) developeddnDSAs at a median time of 24.6 months (range 3–115 months). The mean number of DSA specificities found per patient was 1.97 (±1.29).dnDSA-positive KTx recipients were stratified in two groups, based on time to DSA appearance. We considered patients with antibody occurrence within the first 12 months (the period of greater immunosuppression reduction) as those more prone to mount an immune response to the graft (early-onset group, n=15) and patients with antibody occurrence beyond the first posttransplant year as thelate-onset group (n=24) (Table 1). The median time of DSA appearance from transplantation was 9 months (range 3–12) in the early group and 47 months (range 17–115) in the late group. The two groups were comparable when considering patient- and transplant-related factors, such as recipient sex, living versus deceased donor graft source, cyclosporine or tacrolimus administration, delayed graft function, 1-year estimated glomerular filtration rate (eGFR), HLA class I and II mismatches, and incidence of T cell mediated rejection (TCMR) and late AMR. Only recipient age at transplant was found to be significantly different in the two cohorts, with younger patients showing earlierdnDSA development (Table 1).Patients belonging to the two groups did not display any difference in all analyzed HLA-antibody characteristics, including HLA class and locus specificity, persistence, MFI, and C1q and C3d complement fraction binding ability (Table2). Antibodies detected indnDSA-positive patients recognized a total of 78 HLA antigen specificities. In the two patient groups, HLA class I and class II specificities were equally distributed, and a similar pattern was observed when the analysis was carried out for each HLA antigen locus (Table 3). As observed in the whole cohort, DQdnDSAs were the most represented antibodies in both groups. Regarding DSA biological properties, such as MFI and C1q- and C3d-binding ability, no significant differences were observed in the two groups (Table 3). However,dnDSAs differed for their complement-binding capability, as, with the exception of HLA A2, all C3d-positive DSAs recognized HLA class II and, in particular, DQ antigens, while C1q-positive DSAs were homogeneously distributed between the two classes (Figure 1). All C3d-binding DSAs were also found to bind C1q.Table 2
Antibody characteristics in 39 de novo donor specific HLA antibody (dnDSA) positive patients.
Variables
All patients withdnDSAs(n=39)
Patients withdnDSAs occurring within year 1 (n=15)
Patients withdnDSAs occurring beyond year 1 (n=24)
p value
dnDSA specificities, nr/patient∗
1.97 ± 1.29
1.87 ± 1.25
2.04 ± 1.33
0.68
P
e
r
s
i
s
t
e
n
t
∗
∗
dnDSAs
35 (90%)
13 (87%)
22 (92%)
0.63
HLA class IdnDSAs
8 (21%)
2 (13%)
6 (25%)
0.45
HLA class IIdnDSAs
18 (46%)
8 (53%)
10 (42%)
0.52
HLA class I and IIdnDSAs
13 (33%)
5 (33%)
8 (33%)
1.00
HLA-AdnDSAs
16 (41%)
5 (33%)
11 (61%)
0.51
HLA-BdnDSAs
12 (31%)
3 (20%)
9 (37%)
0.30
HLA-CdnDSAs
7 (18%)
3 (20%)
4 (17%)
1.00
HLA-DRdnDSAs
6 (15%)
3 (20%)
3 (12%)
0.66
HLA-DQdnDSAs
28 (72%)
11 (73%)
17 (71%)
1.00
HLA-DPdnDSAs
1 (3%)
0
1 (4%)
1.00
ImmunodominantdnDSAs
MFIatonset∗
9501 ± 7198
10483 ± 7020
8888 ± 7387
0.51
MFIatbiopsyorpeak∗
12043 ± 7842
12061 ± 6683
12031 ± 8626
0.99
C1q positivityofdnDSAs
AtdnDSA onset
25 (64%)
12 (80%)
13 (54%)
0.17
At biopsy or MFI peak
29 (74%)
12 (80%)
17 (71%)
0.71
C3d positivityofdnDSAs
AtdnDSA onset
9 (23%)
3 (20%)
6 (25%)
1.00
At biopsy or MFI peak
16 (41%)
6 (40%)
10 (42%)
1.00
Percentages are calculated on the total number of patients from each group indicated at the top of the respective columns.
All data are reported as absolute numbers, unless otherwise specified;∗data reported as mean ± sd.
∗
∗DSA persistence was defined as positivity of the immunodominant DSA in all analyzed samples after first positivity.
MFI: mean fluorescence intensity.Table 3
Characteristics of 78 de novo donor specific HLA antibodies (dnDSAs) detected in 39 DSA positive kidney recipients.
Variables
Total number ofdnDSAs(n=78)
dnDSAs occurring within year 1 (n=26)
dnDSAs occurring beyond year 1 (n=52)
p value
HLA class IdnDSAs
40 (51%)
11 (42%)
29 (56%)
0.34
HLA class IIdnDSAs
38 (49%)
15 (58%)
23 (44%)
0.34
HLA class IdnDSAs, MFI∗
4678 ± 4516
4838 ± 4717
4618 ±4521
0.89
HLA class IIdnDSAs, MFI∗
12033 ± 8410
10629 ± 7568
12949 ±8960
0.41
HLA-AdnDSAs∗∗
18 (23%)
5 (19%)
13 (25%)
0.78
HLA-BdnDSAs∗∗
15 (19%)
3 (11%)
12 (23%)
0.36
HLA-CdnDSAs
7 (9%)
3 (11%)
4 (7%)
0.68
HLA-DRdnDSAs∗∗
7 (9%)
4 (15%)
3 (6%)
0.21
HLA-DQdnDSAs∗∗
30 (38%)
11 (42%)
19 (36%)
0.63
HLA-DPdnDSAs
1 (1%)
0
1 (2%)
1.00
C1q binding ofdnDSAs
44 (56%)
17 (65%)
27 (52%)
0.33
HLA class IdnDSAs
20 (26%)
7 (27%)
13 (25%)
1.00
HLA class IIdnDSAs
24 (31%)
10 (38%)
14 (27%)
0.31
C3d binding ofdnDSAs
18 (23%)
7 (27%)
11 (21%)
0.58
HLA class IdnDSAs
1 (1%)
1 (4%)
0
0.33
HLA class IIdnDSAs
17 (22%)
6 (23%)
11 (21%)
1.00
Percentages are calculated on the total number of antibodies from each group indicated at the top of the respective columns. All data are reported as absolute numbers, unless otherwise specified.
∗Data reported as mean ± sd.
∗
∗The number of antibodies detailed in this table is higher than that reported in Table 2, as some patients have multiple DSAs at this locus.
MFI: mean fluorescence intensity.Figure 1
HLA antigens recognized by C3d and/or C1q positive DSAs in the 39dnDSA-positive patients. A total of 78dnDSAs were identified in the 39 kidney recipients. Of those, 44 bound C1q and 18 displayed binding ability for C3d.


### 3.2. Time todnDSA Emergence and Correlation with AMR and Clinical Outcome

AMR was diagnosed in 21 patients at a median follow-up of 4.8 years from kidney transplantation and was observed only in patients positive fordnDSAs (Table 1). Considering BANFF 2013 criteria for classification of AMR, 10 were acute active, and 11 were chronic active. The distribution of acute active and chronic active AMR did not differ between theearly- andlate-onset groups. To evaluate the damaging effect ofdnDSAs on the kidney graft, we analyzed the rate of AMR-free survival from the time of DSA onset. The interval fromdnDSA development to AMR was 2.5 years (range 1.0–4.9) in theearly-onsetgroup, compared to 1.1 years (range 0.1–4.6; p=0.08) in thelate-onset group. AMR-free survival did not differ betweenearly- andlate-onset groups (Figure 2(a)).Figure 2
Risk of developing late antibody-mediated rejection (AMR), renal function decline, and graft loss, in the 39 patients who developed de novo donor-specific antibodies (dnDSAs), according to the time to HLA-antibody occurrence. (a) AMR-free allograft survival in kidney graft recipients, stratified by early or late development ofdnDSAs; (b) renal graft function decline (eGFR ≤ 50 ml/min/1.73 m2) in kidney graft recipients, stratified by early or late development ofdnDSAs; (c) allograft survival in kidney graft recipients, stratified by early or late development ofdnDSAs. The statistical difference between Kaplan-Meier survival curves was evaluated by the log-rank test and differences with p values < 0.05 were considered statistically significant.
(a)
(b)
(c)The histological findings were investigated in graft biopsies obtained from 30 out of 35 patients with persistentdnDSAs (Figure 3); for the remaining 5 graft recipients, no biopsies were available, as the patients refused the procedure due to stable good allograft function. The histological findings were analyzed both individually (interstitial inflammation-i-,tubulitis-t-, ptc,glomerulitis-g-,interstitial fibrosis-c-, tubular atrophy-ct-, transplant glomerulopathy-cg-, chronic vascular changes-cv-, and intimal arteritis-v-) and in functional clusters (ptc + g referring to microcirculation inflammation,ptc + g + cg to microcirculation lesions,i + t to tubulointerstitial inflammation, andci + ct to tubulointerstitial scarring). No significant differences were observed between the two groups (Figure 3).Figure 3
Histological analysis in 30 graft biopsies obtained from 13 recipients displayingearly-onset dnDSAs (dark grey bars) and 17 recipients positive forlate-onset dnDSAs (light grey bars). The biopsy findings were analyzed both individually (i, t, ptc, g, ci, ct, cg, cv, v) and in functional clusters (ptc + g referring to microcirculation inflammation,ptc + g + cg to microcirculation lesions,i + t to tubulointerstitial inflammation, andci + ct to tubulointerstitial scarring). Data are presented as the mean ± standard error. For each parameter, no significant difference was observed between the two groups.We then evaluated the impact ofearly- versuslate-onset dnDSAs on graft loss. In the whole cohort of 114 patients, 9 grafts were lost, among which 7 grafts were lost due to AMR and 2 to focal glomerulosclerosis recurrence. The latter 2 patients werednDSA negative. Among the 7 graft losses due to AMR, 3 were observed in theearly-onset group and 4 in thelate-onset dnDSA group. The median time interval fromdnDSA onset to graft loss was 4.0 years (range 3.5–5.0) in theearly-onsetgroup, compared to 5.5 years (range 3.6–6.5) in thelate-onsetgroup (p = ns) (Figure 2(c)). As the number of graft losses in our cohort was limited, eGFR ≤ 50 ml/min/1.73 m2 was alternatively employed as an outcome end-point. Also in this case, no difference was observed between theearly-onset andlate-onset groups (Figure 2(b)).


## 3.1. Clinical and Immunological Characteristics of the Patients according to Time ofdnDSA Development

The cohort median follow-up was 6.7 years (range 2.0–12.6). Antibody identification was based on longitudinal analysis of collected sera in both retrospective and prospective sample series. Among the 114 patients analyzed, 39 patients (34%) developeddnDSAs at a median time of 24.6 months (range 3–115 months). The mean number of DSA specificities found per patient was 1.97 (±1.29).dnDSA-positive KTx recipients were stratified in two groups, based on time to DSA appearance. We considered patients with antibody occurrence within the first 12 months (the period of greater immunosuppression reduction) as those more prone to mount an immune response to the graft (early-onset group, n=15) and patients with antibody occurrence beyond the first posttransplant year as thelate-onset group (n=24) (Table 1). The median time of DSA appearance from transplantation was 9 months (range 3–12) in the early group and 47 months (range 17–115) in the late group. The two groups were comparable when considering patient- and transplant-related factors, such as recipient sex, living versus deceased donor graft source, cyclosporine or tacrolimus administration, delayed graft function, 1-year estimated glomerular filtration rate (eGFR), HLA class I and II mismatches, and incidence of T cell mediated rejection (TCMR) and late AMR. Only recipient age at transplant was found to be significantly different in the two cohorts, with younger patients showing earlierdnDSA development (Table 1).Patients belonging to the two groups did not display any difference in all analyzed HLA-antibody characteristics, including HLA class and locus specificity, persistence, MFI, and C1q and C3d complement fraction binding ability (Table2). Antibodies detected indnDSA-positive patients recognized a total of 78 HLA antigen specificities. In the two patient groups, HLA class I and class II specificities were equally distributed, and a similar pattern was observed when the analysis was carried out for each HLA antigen locus (Table 3). As observed in the whole cohort, DQdnDSAs were the most represented antibodies in both groups. Regarding DSA biological properties, such as MFI and C1q- and C3d-binding ability, no significant differences were observed in the two groups (Table 3). However,dnDSAs differed for their complement-binding capability, as, with the exception of HLA A2, all C3d-positive DSAs recognized HLA class II and, in particular, DQ antigens, while C1q-positive DSAs were homogeneously distributed between the two classes (Figure 1). All C3d-binding DSAs were also found to bind C1q.Table 2
Antibody characteristics in 39 de novo donor specific HLA antibody (dnDSA) positive patients.
Variables
All patients withdnDSAs(n=39)
Patients withdnDSAs occurring within year 1 (n=15)
Patients withdnDSAs occurring beyond year 1 (n=24)
p value
dnDSA specificities, nr/patient∗
1.97 ± 1.29
1.87 ± 1.25
2.04 ± 1.33
0.68
P
e
r
s
i
s
t
e
n
t
∗
∗
dnDSAs
35 (90%)
13 (87%)
22 (92%)
0.63
HLA class IdnDSAs
8 (21%)
2 (13%)
6 (25%)
0.45
HLA class IIdnDSAs
18 (46%)
8 (53%)
10 (42%)
0.52
HLA class I and IIdnDSAs
13 (33%)
5 (33%)
8 (33%)
1.00
HLA-AdnDSAs
16 (41%)
5 (33%)
11 (61%)
0.51
HLA-BdnDSAs
12 (31%)
3 (20%)
9 (37%)
0.30
HLA-CdnDSAs
7 (18%)
3 (20%)
4 (17%)
1.00
HLA-DRdnDSAs
6 (15%)
3 (20%)
3 (12%)
0.66
HLA-DQdnDSAs
28 (72%)
11 (73%)
17 (71%)
1.00
HLA-DPdnDSAs
1 (3%)
0
1 (4%)
1.00
ImmunodominantdnDSAs
MFIatonset∗
9501 ± 7198
10483 ± 7020
8888 ± 7387
0.51
MFIatbiopsyorpeak∗
12043 ± 7842
12061 ± 6683
12031 ± 8626
0.99
C1q positivityofdnDSAs
AtdnDSA onset
25 (64%)
12 (80%)
13 (54%)
0.17
At biopsy or MFI peak
29 (74%)
12 (80%)
17 (71%)
0.71
C3d positivityofdnDSAs
AtdnDSA onset
9 (23%)
3 (20%)
6 (25%)
1.00
At biopsy or MFI peak
16 (41%)
6 (40%)
10 (42%)
1.00
Percentages are calculated on the total number of patients from each group indicated at the top of the respective columns.
All data are reported as absolute numbers, unless otherwise specified;∗data reported as mean ± sd.
∗
∗DSA persistence was defined as positivity of the immunodominant DSA in all analyzed samples after first positivity.
MFI: mean fluorescence intensity.Table 3
Characteristics of 78 de novo donor specific HLA antibodies (dnDSAs) detected in 39 DSA positive kidney recipients.
Variables
Total number ofdnDSAs(n=78)
dnDSAs occurring within year 1 (n=26)
dnDSAs occurring beyond year 1 (n=52)
p value
HLA class IdnDSAs
40 (51%)
11 (42%)
29 (56%)
0.34
HLA class IIdnDSAs
38 (49%)
15 (58%)
23 (44%)
0.34
HLA class IdnDSAs, MFI∗
4678 ± 4516
4838 ± 4717
4618 ±4521
0.89
HLA class IIdnDSAs, MFI∗
12033 ± 8410
10629 ± 7568
12949 ±8960
0.41
HLA-AdnDSAs∗∗
18 (23%)
5 (19%)
13 (25%)
0.78
HLA-BdnDSAs∗∗
15 (19%)
3 (11%)
12 (23%)
0.36
HLA-CdnDSAs
7 (9%)
3 (11%)
4 (7%)
0.68
HLA-DRdnDSAs∗∗
7 (9%)
4 (15%)
3 (6%)
0.21
HLA-DQdnDSAs∗∗
30 (38%)
11 (42%)
19 (36%)
0.63
HLA-DPdnDSAs
1 (1%)
0
1 (2%)
1.00
C1q binding ofdnDSAs
44 (56%)
17 (65%)
27 (52%)
0.33
HLA class IdnDSAs
20 (26%)
7 (27%)
13 (25%)
1.00
HLA class IIdnDSAs
24 (31%)
10 (38%)
14 (27%)
0.31
C3d binding ofdnDSAs
18 (23%)
7 (27%)
11 (21%)
0.58
HLA class IdnDSAs
1 (1%)
1 (4%)
0
0.33
HLA class IIdnDSAs
17 (22%)
6 (23%)
11 (21%)
1.00
Percentages are calculated on the total number of antibodies from each group indicated at the top of the respective columns. All data are reported as absolute numbers, unless otherwise specified.
∗Data reported as mean ± sd.
∗
∗The number of antibodies detailed in this table is higher than that reported in Table 2, as some patients have multiple DSAs at this locus.
MFI: mean fluorescence intensity.Figure 1
HLA antigens recognized by C3d and/or C1q positive DSAs in the 39dnDSA-positive patients. A total of 78dnDSAs were identified in the 39 kidney recipients. Of those, 44 bound C1q and 18 displayed binding ability for C3d.


## 3.2. Time todnDSA Emergence and Correlation with AMR and Clinical Outcome

AMR was diagnosed in 21 patients at a median follow-up of 4.8 years from kidney transplantation and was observed only in patients positive fordnDSAs (Table 1). Considering BANFF 2013 criteria for classification of AMR, 10 were acute active, and 11 were chronic active. The distribution of acute active and chronic active AMR did not differ between theearly- andlate-onset groups. To evaluate the damaging effect ofdnDSAs on the kidney graft, we analyzed the rate of AMR-free survival from the time of DSA onset. The interval fromdnDSA development to AMR was 2.5 years (range 1.0–4.9) in theearly-onsetgroup, compared to 1.1 years (range 0.1–4.6; p=0.08) in thelate-onset group. AMR-free survival did not differ betweenearly- andlate-onset groups (Figure 2(a)).Figure 2
Risk of developing late antibody-mediated rejection (AMR), renal function decline, and graft loss, in the 39 patients who developed de novo donor-specific antibodies (dnDSAs), according to the time to HLA-antibody occurrence. (a) AMR-free allograft survival in kidney graft recipients, stratified by early or late development ofdnDSAs; (b) renal graft function decline (eGFR ≤ 50 ml/min/1.73 m2) in kidney graft recipients, stratified by early or late development ofdnDSAs; (c) allograft survival in kidney graft recipients, stratified by early or late development ofdnDSAs. The statistical difference between Kaplan-Meier survival curves was evaluated by the log-rank test and differences with p values < 0.05 were considered statistically significant.
(a)
(b)
(c)The histological findings were investigated in graft biopsies obtained from 30 out of 35 patients with persistentdnDSAs (Figure 3); for the remaining 5 graft recipients, no biopsies were available, as the patients refused the procedure due to stable good allograft function. The histological findings were analyzed both individually (interstitial inflammation-i-,tubulitis-t-, ptc,glomerulitis-g-,interstitial fibrosis-c-, tubular atrophy-ct-, transplant glomerulopathy-cg-, chronic vascular changes-cv-, and intimal arteritis-v-) and in functional clusters (ptc + g referring to microcirculation inflammation,ptc + g + cg to microcirculation lesions,i + t to tubulointerstitial inflammation, andci + ct to tubulointerstitial scarring). No significant differences were observed between the two groups (Figure 3).Figure 3
Histological analysis in 30 graft biopsies obtained from 13 recipients displayingearly-onset dnDSAs (dark grey bars) and 17 recipients positive forlate-onset dnDSAs (light grey bars). The biopsy findings were analyzed both individually (i, t, ptc, g, ci, ct, cg, cv, v) and in functional clusters (ptc + g referring to microcirculation inflammation,ptc + g + cg to microcirculation lesions,i + t to tubulointerstitial inflammation, andci + ct to tubulointerstitial scarring). Data are presented as the mean ± standard error. For each parameter, no significant difference was observed between the two groups.We then evaluated the impact ofearly- versuslate-onset dnDSAs on graft loss. In the whole cohort of 114 patients, 9 grafts were lost, among which 7 grafts were lost due to AMR and 2 to focal glomerulosclerosis recurrence. The latter 2 patients werednDSA negative. Among the 7 graft losses due to AMR, 3 were observed in theearly-onset group and 4 in thelate-onset dnDSA group. The median time interval fromdnDSA onset to graft loss was 4.0 years (range 3.5–5.0) in theearly-onsetgroup, compared to 5.5 years (range 3.6–6.5) in thelate-onsetgroup (p = ns) (Figure 2(c)). As the number of graft losses in our cohort was limited, eGFR ≤ 50 ml/min/1.73 m2 was alternatively employed as an outcome end-point. Also in this case, no difference was observed between theearly-onset andlate-onset groups (Figure 2(b)).


## 4. Discussion

The problem of clarifying whether HLA antibodies developing at different posttransplant intervals could have different cytotoxic capabilities and graft tissue damage potential has relevance in view of the need to establish the optimal terms of posttransplant DSA surveillance strategy, particularly concerning monitoring length.Our study, carried out in a homogeneous patient population not including sensitized recipients, demonstrates that the time interval to AMR development and graft loss, evaluated from the firstdnDSA appearance, does not differ in theearly-andlate-onset HLA-antibody groups. In previous studies, it had been shown that DSAs developing within the first year after transplantation resulted in early graft failure, whereaslate-onsetDSAs, although also detrimental, seemed to require a longer time to finally cause graft damage and loss [7, 9]. These latter observations likely reflected the presence of a proportion of sensitized patients, in whom rapid development of DSA-mediated tissue damage could have been sustained by the presence of a cytokine inflammatory milieu [28, 29] and further amplified by a parallel action of non-DSAs specific for mismatched cross-reactive epitopes [8]. In our cohort of pediatric recipients, a model intrinsically free of relevant comorbidities, a thorough and prolonged posttransplant antibody monitoring permitted an accurate estimate of the interval between DSA onset and graft function deterioration, thus allowing assessment of the actual damaging potential ofdnDSAs emerging in the late posttransplant period. Through this longitudinal detection approach, we demonstrated that DSAs in the two patient groups displayed equivalent damaging capabilities. Indeed,early-andlate-onset dnDSAs did not differ in the biological properties, such as high MFI values and complement-binding ability, recently demonstrated to be the main determinants of antibody-mediated graft damage and loss [26, 27, 30–32]. In particular, all of the graft losses in both groups were observed in patients displaying DSAs capable of C3d binding, as a result of progressive acquisition over time of C1q- and C3d-fixing ability, paralleled by an increase in MFI values [27]. The size of our pediatric cohort, smaller than average adult series, may have partly influenced our statistical findings and limited our ability to dissect the respective role of complement-binding activity and MFI on graft outcome. While Lee et al. observed an earlier production of HLA class I DSAs [7], we found that HLA class I and class IIdnDSAs were comparably represented in bothearly-andlate-onset groups. This apparent discrepancy could be in part explained by the fact that our study exclusively analyzed nonsensitized recipients. Indeed, in a first set alloresponse condition, the ubiquitous cellular expression of class I HLA antigens within the kidney graft tissue may be balanced by the greater stimulating capability of the highly polymorphic class II molecules, in particular HLA DQ antigens [11–15, 22]. Moreover, comparing C1q- and C3d-binding capabilities in class I and class IIdnDSAs, we demonstrated in both patient groups that C3d binding was almost exclusively a property of class II, whereas C1q binding was expressed in a similar percentage by both classes. This finding gives additional strength to previous data demonstrating that, in nonsensitized low-risk kidney recipients, class II specific and, in particular, anti-DQ de novo antibodies are the principal effectors of graft loss in all posttransplant phases [11–15, 22, 27, 30]. The equivalency ofearlyandlate dnDSA damaging capacity was further supported by the observation that the two study groups displayed a similar histological pattern of tissue graft damage. In this regard, it is worth underlining that, in our cohort represented by recipients of grafts from young donors, the susceptibility to HLA-antibody mediated insult is only marginally influenced by organ ageing [33].At present, the reasons fordnDSA production in some patients and not in others, as well as the biological factors influencing their development at different times after transplant, in the presence of the same degree of HLA mismatching and the same immunosuppressive regimen, are not completely understood. In this study, younger recipient age appeared to favor an earlierdnDSA production, likely reflecting a propensity to display a stronger alloreactivity, that suggests a note of caution in immunosuppressive therapy minimization in the pediatric setting.


## 5. Conclusions

Based on our findings, management of patients found positive fordnDSAs at late phases of posttransplant follow-up should not differ from that applied in the early-onsetdnDSA patient group.Thus, monitoring of HLA antibodies throughout the entire posttransplant course is recommended, despite high costs and organization difficulties, in order to identify patients at risk for AMR and graft loss.



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*Source: 1747030-2017-03-06.xml*