Visual Abstract

Introduction: A significant proportion of children with SSNS (steroid-sensitive nephrotic syndrome) experience recurrence. Reliable biomarkers to predict flare are currently lacking because the pathogenesis of SSNS remains obscure. Objective: Since B cells may be involved in the pathogenesis of SSNS, we aimed to identify perturbations of B-cell subsets that might predict SSNS relapse. Methods: We measured levels of circulating B-cell subsets in 69 SSNS children by flow cytometry, between 2018 and 2019. We divided them into a relapse group and a nonrelapse group according to whether a relapse occurred within 1 year of follow-up. We used Cox survival analysis to assess correlations between B-cell subsets and relapse. In addition, recurrence-free survival curves were calculated using the Kaplan-Meier method. Results: The proportion of transitional B cells was significantly lower in the relapse group (5.3 ± 5.1% vs. 8.7 ± 4.3% in nonrelapse group, p = 0.007), while the proportion of memory B cells was significantly higher (8.4 ± 3.0% vs. 5.8 ± 3.3% in nonrelapse, p = 0.002). There was a significant decrease in the transitional B-cell to memory B-cell ratio (T/M) in the relapse group (p < 0.001). Univariate analysis revealed that transitional B cells, memory B cells, and the T/M ratio were significantly correlated with relapse in SSNS patients (p < 0.05). Multivariate analysis revealed that only T/M ratio (hazard ratio 0.278, 95% confidence interval 0.085–0.908, p = 0.034) was an independent risk factor for recurrence-free survival in SSNS patients. A cutoff value for the T/M ratio of 1.16 resulted in a sensitivity of 90% and specificity of 80% (area under the curve 0.909; p < 0.001). Kaplan-Meier curves of cumulative relapse-free survival, stratified by this cutoff value, were constructed, which showed that the cumulative relapse-free rates for cutoff values of >1.16 (n = 38) and ≤1.16 (n = 31) were 76.3 and 29.0%, respectively (χ2 = 18.416, p < 0.001). Conclusions: Decreased transitional B/memory B ratio is associated with SSNS recurrence in the reported cohort. Thus, it may prove to be a useful marker to predict SSNS relapse in children.

1.
Manuela
C
,
Giorgia
C
,
Francesco
E
,
Marina
V
.
Immunology of idiopathic nephrotic syndrome
.
Pediatr Nephrol
.
2018
;
33
(
4
):
573
84
.
2.
Vivarelli
M
,
Massella
L
,
Ruggiero
B
,
Emma
F
.
Minimal change disease
.
Clin J Am Soc Nephrol
.
2017
;
12
(
2
):
332
45
. .
3.
Wang
CS
,
Greenbaum
LA
.
Nephrotic syndrome
.
Pediatr Clin North Am
.
2019
;
66
(
1
):
73
85
. .
4.
Oleinika
K
,
Mauri
C
,
Salama
AD
.
Effector and regulatory B cells in immune-mediated kidney disease
.
Nat Rev Nephrol
.
2019
;
15
(
1
):
11
26
. .
5.
Colucci
M
,
Carsetti
R
,
Cascioli
S
,
Serafinelli
J
,
Emma
F
,
Vivarelli
M
.
B cell phenotype in pediatric idiopathic nephrotic syndrome
.
Pediatr Nephrol
.
2019
;
34
(
1
):
177
81
. .
6.
Ling
C
,
Wang
X
,
Chen
Z
,
Fan
J
,
Meng
Q
,
Zhou
N
, et al
Altered B-lymphocyte homeostasis in idiopathic nephrotic syndrome
.
Front Pediatr
.
2019
;
7
:
377
. .
7.
Colucci
M
,
Carsetti
R
,
Cascioli
S
,
Casiraghi
F
,
Perna
A
,
Ravà
L
, et al
B cell reconstitution after rituximab treatment in idiopathic nephrotic syndrome
.
J Am Soc Nephrol
.
2016
;
27
(
6
):
1811
22
. .
8.
Bhatia
D
,
Sinha
A
,
Hari
P
,
Sopory
S
,
Saini
S
,
Puraswani
M
, et al
Rituximab modulates T- and B-lymphocyte subsets and urinary CD80 excretion in patients with steroid-dependent nephrotic syndrome
.
Pediatr Res
.
2018
;
84
(
4
):
520
6
. .
9.
Hoffman
W
,
Lakkis
FG
,
Chalasani
G
.
B Cells, antibodies, and more
.
Clin J Am Soc Nephrol
.
2016
;
11
(
1
):
137
54
. .
10.
Shao
XS
,
Yang
XQ
,
Zhao
XD
,
Li
Q
,
Xie
YY
,
Wang
XG
, et al
The prevalence of Th17 cells and FOXP3 regulate T cells (Treg) in children with primary nephrotic syndrome
.
Pediatr Nephrol
.
2009
;
24
(
9
):
1683
90
. .
11.
Dossier
C
,
Jamin
A
,
Deschênes
G
.
Idiopathic nephrotic syndrome: the EBV hypothesis
.
Pediatr Res
.
2017
;
81
(
1–2
):
233
9
. .
12.
Hsiao
CC
,
Tu
KH
,
Hsieh
CY
,
Lee
CC
,
Chang
CH
,
Fan
PC
, et al
Immunoglobulin E and G levels in predicting minimal change disease before renal biopsy
.
Biomed Res Int
.
2018
;
2018
:
3480309
. .
13.
Roy
RR
,
Roy
E
,
Rahman
MH
,
Hossain
MM
.
Serum immunoglobulin G, M and IgG:IgM ratio as predictors for outcome of childhood nephrotic syndrome
.
World J Pediatr
.
2009
;
5
(
2
):
127
31
. .
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