ORIGINAL RESEARCH article

Front. Immunol., 16 June 2025

Sec. Autoimmune and Autoinflammatory Disorders : Autoimmune Disorders

Volume 16 - 2025 | https://doi.org/10.3389/fimmu.2025.1511133

Belimumab-driven reductions in retinal microvascular density assessed by optical coherence tomography angiography: insights from systemic lupus erythematosus patients

  • 1. Department of Rheumatology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China

  • 2. Ophthalmic Center, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China

  • 3. Department of Rheumatology, Liwan Central Hospital of Guangzhou, Guangzhou, Guangdong, China

  • 4. Department of Clinical Medicine, The Second School of Clinical Medicine, Guangzhou Medical University, Guangzhou, Guangdong, China

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Abstract

Background:

Systemic lupus erythematosus (SLE) and lupus nephritis (LN) are associated with retinal microvascular changes that may reflect disease severity. This study aimed to evaluate differences in retinal vascular density (VD) between SLE patients with and without LN and assess the impact of rheumatological treatments on VD.

Methods:

A cross-sectional study was conducted with 54 SLE patients (21 with LN, 33 without LN). Retinal VD was measured using optical coherence tomography angiography (OCTA), focusing on superficial and deep capillary plexus VD (SCP-VD and DCP-VD). The impact of Belimumab and other treatments was analyzed. Linear regression assessed the effects of LN status and treatments on DCP parafoveal VD. Lymphocyte subsets and cytokines were compared before and after Belimumab treatment.

Result:

LN patients showed significantly reduced macular vascular density compared with non-LN patients. Belimumab treatment (≥8 times) and hydroxychloroquine use (>5 years) were independently associated with lower DCP-VD, particularly in parafoveal areas. Cumulative doses of HCQ and glucocorticoids negatively correlated with VD. Linear regression showed a significant negative association between Belimumab treatment and parafoveal DCP-VD. Notably, Belimumab treatment led to reductions in serum CD19+ B cells and IL-10 levels.

Conclusions:

LN patients demonstrated distinct retinal microvascular alterations. Long-term Belimumab and HCQ treatments were associated with decreased retinal VD. Regular retinal health monitoring was recommended to prevent microvascular complications in SLE patients undergoing prolonged treatment.

1 Introduction

Ocular manifestations are observed in approximately 30% of systemic lupus erythematosus (SLE) patients, affecting various ocular structures. These ocular lesions, including lupus retinopathy and lupus-associated optic neuropathy, contribute to vision loss and serve as important indicators of SLE disease activity (1, 2). Early detection of preclinical retinal microvascular and microstructural alterations is crucial for preventing irreversible ocular and systemic complications and predicting prognosis (1, 3, 4).

Optical coherence tomography angiography (OCTA) is a non-invasive technology that enables high-resolution visualization of retinal vasculature, providing valuable insights into retinal vascular pathologies (5). Previous studies have shown that peripapillary retinal nerve fiber layer (RNFL) thickness and ganglion cell layer (GCL) thickness were vital parameters for glaucoma follow-up, reflecting prognosis and disease severity (6). Additionally, SLE patients exhibit thinning of the RNFL and GCL, suggesting neurodegeneration and early cognitive impairment (7).

OCTA has also revealed reductions in macular vessel density (VD) and foveal avascular zone (FAZ) area size in SLE patients without retinopathy, indicating microvasculature alterations even before ocular involvement. Furthermore, reduced retinal capillary vessel density has been observed in SLE patients with lupus nephritis (LN), suggesting potential early systemic vascular involvement (1, 8, 9). Recently, in our cross-sectional investigation (10), we utilized OCTA to image the microvasculature of the retina. Notable reductions in macular vessel density were observed, specifically within the superficial capillary plexus (SCP), among SLE patients without retinopathy compared to controls (10). These findings highlight the potential role of OCTA as a non-invasive tool for the early detection of systemic vascular changes and associated kidney impairment in lupus patients (3, 11).

It is well known that hydroxychloroquine (HCQ), a commonly used treatment for SLE, can lead to retinal toxicity by binding to melanin in retinal pigment epithelium (RPE) cells (12). This leads to disruptions in retinal cell metabolism and damage to the photoreceptors and outer nuclear layer of the retina (13, 14). Early detection of HCQ-induced retinopathy before RPE cell damage occurs is crucial for preserving vision, as the condition is irreversible and may lead to blindness.

As the number of biological treatment options continues to grow in the field of SLE therapy, there is a growing interest in investigating the effects of these medications on ocular health. Despite the growing body of research on ocular involvement in SLE, the effects of newer biological treatments, such as Belimumab, on ocular health remain largely unexplored.

Belimumab, a recombinant human IgG-1λ monoclonal antibody that inhibits B-cell activating factor, is approved for treating active autoantibody-positive SLE patients (15). It is part of the standard treatment for SLE and LN according to the European League Against Rheumatism (EULAR) 2023 guidelines (16). Recent research has demonstrated that Belimumab holds promise in the treatment of Graves’ Ophthalmopathy (GO) (17, 18). However, there is currently no research indicating its effects on the ocular vasculature of SLE patients.

The objective of this study is to conduct a detailed evaluation of ocular involvement in SLE and LN patients and investigate the influence of Belimumab on retinal microvascular density in these individuals.

2 Materials and methods

2.1 Patients

A total of 54 female patients with SLE from the Second Affiliated Hospital of Guangzhou Medical University were enrolled between September 2019 and October 2023. All SLE patients were diagnosed according to the 2019 EULAR/ACR classification criteria for SLE (19). 21 of the 54 patients included in the study met the diagnostic criteria for LN (20). SLE disease activity was evaluated utilizing the systemic lupus erythematosus disease activity index (SLEDAI)-2K score (21). In the study of Belimumab’s therapeutic effects, we included patients who had received Belimumab ≥8 times for the Belimumab treatment group, consistent with the dosing regimen used in the BLISS-LN trial (15). This cutoff corresponds to 24 weeks of treatment, which is generally sufficient to observe therapeutic effects.The ocular inclusion criteria were defined as follows: (1) best-corrected visual acuity better than 0.1 LogMAR; (2) intraocular pressure < 21 mmHg; (3) spherical equivalent < +2.5 D or > -6.0 D. Exclusion criteria encompassed SLE patients presenting with acute infections, malignancies, and other inflammatory diseases. We also excluded those treated with other biologic agents. The ocular exclusion criteria were defined as follows: (1) spherical equivalent > +6.0 D or <-6.0 D; (2) axial length ≥26 mm; (3) any ocular pathological changes detected on slit lamp, fundus color photography, or optical coherence tomography imaging; (4) history of previous ocular diseases such as glaucoma, cataract or ocular surgery, including refractive surgeries. In cases where both eyes fulfilled the inclusion criteria, data analysis was conducted on the right eye of each participant to prevent any potential bias that could result from the correlation between both eyes of the same individual. Informed consent was obtained from all participants, and the study received approval from the Ethics Committee of the Second Affiliated Hospital of Guangzhou Medical University.

2.2 Clinical and laboratory data and rheumatological treatment

Demographic data, clinical manifestations, and laboratory data were retrieved from the medical records of patients. Patient characteristics encompassed gender, age, disease duration, SLEDAI score, anti ds-DNA antibody positivity, C3, C4, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), albumin, creatinine, glomerular filtration rate (GFR), 24-hour proteinuria and anticardiolipin antibodies(ACL IgG, ACL IgA, ACL IgM, and anti-beta-2 glycoprotein I antibodies, Anti-β2GPI). We also collected data on the usage of Belimumab, HCQ, prednisolone, methotrexate(MTX), cyclophosphamide, mycophenolate mofetil(MMF), cyclophosphamid, cyclosporin A, FK506 in the included patients.

2.3 Ophthalmologic evaluation

Every participant in the study received a comprehensive ophthalmological examination, which included best corrected visual acuity (BCVA), air puff intraocular pressure measurement (IOP), and OCTA examination. A standard LogMAR chart was used to evaluate BCVA in individual eyes for central visual acuity assessment following the Early Treatment of Diabetic Retinopathy Study (ETDRS) protocol (22). The evaluation incorporated the relevant macular and optic disc parameters. OCTA was used to measure RNFL thickness, GCL thickness, SCP-VD(%), and vessel length density (VLD)(%) (Figure 1). Similarly, the identical method was used to measure deep capillary plexus vessel density (DCP-VD) (%) and VLD (%). The FAZ area (mm2) and perimeter (mm) for both groups were also evaluated. Regarding the region of interest for analysis, the macular region was a circular region centered on the macula with a diameter of 1 mm and 2.5 mm respectively. The optic disc area was a circular region centered on the optic disc, with diameters of 1.5 mm, 2.5 mm, 3.5 mm, and 5 mm respectively. Parafoveal refers to the macular area 0.5–1.5 mm from the foveal center, and peripapillary denotes the optic disc region surrounding the optic nerve head. Macular VD was calculated using the ratio of flow pixels to total pixels. Macular VLD was calculated through the ratio of vessel length to total area. FAZ area and perimeter were calculated through manual delineation of the macular central avascular zone. The whole image corresponded to the complete 3 x 3 mm2 area centered on the macula or the entire 6 x 6 mm2 area centered on the optic disc. The analysis of OCTA images was performed using ImageJ software (https://imagej.net/Fiji; NIH, Bethesda, MD) following established quantification protocols (23, 24).

Figure 1

Figure 1

Representative OCTA images for measuring retinal microvasculature parameters in SCP. The original OCTA image revealed macular vessels (A) and peripapillary vessels (D). The binarized image highlighted macular vessels (B) and peripapillary vessels (E). After the removal of large vessels, the image displayed macular vessels (C) and peripapillary vessels (F), which were then used to measure the corresponding subregions. OCTA, Optical Coherence Tomography Angiography; SCP, Superficial Capillary Plexus.

2.4 Statistical analysis

SPSS software (version 25.0), R Statistical Software (http://www.R-project.org, The R Foundation), and Free Statistics analysis platform were used for analysis. The normality of data was assessed using the Shapiro-Wilk test. Normally distributed continuous variables are presented as mean ± standard deviation and compared using the independent t-test. Non-normally distributed variables are presented as median (interquartile range) and compared using the Mann-Whitney U test. Categorical data are expressed as frequencies and analyzed using the chi-square test. For small samples, Fisher’s exact test was applied. Pearson’s correlation coefficient was used to assess linear relationships between normally distributed continuous variables, while Spearman’s rank correlation was used for non-normally distributed continuous and categorical variables. Multiple linear regression analysis was used to identify factors associated with reduced vascular density. No formal correction for multiple comparisons was applied due to the exploratory nature of the study and the potential risk of Type II errors. Statistical significance was defined as P < 0.05.

3 Results

3.1 Baseline characteristics of LN and non-LN patients

Twenty-one SLE patients with LN and 33 SLE patients without LN were recruited in this cross-sectional study. All the collected data regarding patients’ characteristics, SLE activity, and treatment are summarized in Table 1. No statistically significant differences were observed between the two groups in terms of age, gender, disease duration, SLEDAI score, anti ds-DNA antibody positivity, ESR, CRP, C3, C4, albumin, creatinine, GFR, and anticardiolipin antibodies (all P>0.05). LN patients exhibited a notable elevation in 24-hour urine protein levels compared to non-LN patients (961.0mg/d vs. 114.7mg/d, P<0.001). Additionally, there were no significant differences observed in visual acuity and IOP between the two groups of patients. We analyzed two groups of patients receiving rheumatological treatment. Our study results suggested that a higher proportion of patients with LN use prednisolone (90.5% vs 66.7%), MMF(76.1% vs 42.4%), and Belimumab (71.4% vs 36.4%) compared to patients with non-LN. (all P<0.05) (Table 1).

Table 1

Variables Non-LN patients (n = 33) LN patients (n = 21) P
Demographic characteristics
Gender(Female) 33 21
Age at study, year (mean ± s.d.) 36.8 ± 12.2 32.3 ± 7.7 0.139
Clinical features
SLE duration, year 1.0 (0.3, 10.0) 3 (0.7, 7.5) 0.879
SLEDAI score 13.0(8.8, 16.5) 14.0 (11.0, 16.0) 0.891
Anti ds-DNA antibody positivity(%) 33 (100) 21 (100)
Serological and urinary characteristics
C3 complement (0.7-1.4), g/L 0.8 (0.6, 0.9) 0.7 (0.3, 1.0) 0.779
C4 complement (0.1-0.4), g/L 0.1 (0.1, 0.2) 0.1 (0.1, 0.2) 0.913
ESR (<40), mm/h 24.0 (13.2, 52.0) 60.0 (21.0, 73.0) 0.082
CRP (≤6), mg/L 3.4 (0.8, 10.4) 4.6 (1.1, 17.0) 0.440
Albumin (40-55), g/L 36.3 (33.0, 38.4) 32.1 (24.5, 38.8) 0.152
Creatinine (41-81), umol/L 57.5 (48.8, 63.2) 60.0 (55.0, 85.5) 0.071
GFR (>90), ml/min/1.73 m² 112.0 (100.1, 131.9) 103.7 (69.2, 116.7) 0.056
24hUP (<500), mg/d 114.7 (79.0, 203) 961.0 (224, 2743) <0.001
ACL IgG (0-20), CU 6.6 (3.5, 12.7) 7.6 (5.0, 8.7) 0.856
ACL IgM (0-20), CU 2.1 (1.0, 3.4) 2.2 (1.8, 4.4) 0.327
ACL IgA (0-20), CU 4.2 (2.6, 6.9) 7.8 (2.3, 9.8) 0.685
Anti-β2GPI (0-20), CU 8.8 (4.4, 12.8) 9.1 (3.8, 13.3) 0.968
Ophthalmic conditions
Visual acuity (logMAR) -0.1 (-0.1, 0.0) 0.0 (-0.1, 0.0) 0.871
IOP (mmHg) 14.2 (12.9, 15.3) 15.0 (10.2, 15.5) 0.858
Rheumatological treatment ever, n (%)
 Prednisolone 22 (66.7) 19 (90.5) 0.046
 Hydroxychloroquine 21 (63.6) 17 (81.0) 0.333
  HCQ < 5years/
 HCQ > 5 years
11(52.3) 8(47)
 Methotrexate 7 (21.2) 2 (9.5) 0.456
 Cyclophosphamid
 (oral or IV)
NA 7 (33.3) NA
 Mycophenolate
 mofetil
14 (42.4) 16 (76.1) <0.001
 Cyclosporin A 5 (15.2) 1 (4.7) 0.386
 FK506 NA 3 (14.3) NA
 Belimumab 12 (36.4) 15 (71.4) 0.012
Cumulative dose of immunosuppressants
HCQ daily cumulative dose(mg/kg) 2.6 (0.0, 6.8) 4.9 (2.8, 6.9) 0.234
HCQ cumulative dose(g/kg) 0.7 (0.0, 12.6) 2.0 (0.1, 10.8) 0.659
GC cumulative dose(g/kg) 1.9 (0.0, 12.3) 4.2 (1.6, 19.9) 0.172

Demographic and clinical characteristics in SLE patients with and without LN.

Values are median (interquartile range, IQR) unless stated otherwise; s.d., standard deviation; NA, not applicable; SLE, systemic lupus erythematosus; LN, lupus nephritis; non-LN, non-lupus renal disease; SLEDAI, systemic lupus erythematosus disease activity index; A positive result for anti-dsDNA antibodies indicates an antibody titer greater than 1:100. GFR, glomerular filtration rate; 24hUP, 24-hours urine protein; ACL, Anti-cardiolipin antibodies; anti-β2 GPI, Anti-β2-glycoprotein I antibodies; IOP, intraocular pressure; ‘Ever’ refer to use of immunosuppressants since the diagnosis of SLE; Receiving Belimumab treatment refers to the use of Belimumab more than 8 times. HCQ, Hydroxychloroquine; GC, Glucocorticoids; Normal value ranges are given in parentheses after the indicator.

Bold values indicate statistically significant results (P < 0.05).

3.2 Retinal microvascular assessment by OCTA

3.2.1 Retinal microvascular differences between LN and Non-LN patients

3.2.1.1 Retinal nerve fiber layer thickness and ganglion cell layer thickness

Our findings did not show any significant difference in the thickness of the RNFL and GCL between the LN and non-LN groups. (all P>0.05, Supplementary Table S1).

3.2.1.2 Superficial and deep capillary density in different areas of the macula

LN patients exhibited diminished superficial vasculature density (SCP-VD) in various regions, encompassing the loop, superior side, temporal side, and whole image region (all P<0.05). Additionally, a notable reduction in superficial vascular length density (SCP-VLD) was observed in the temporal side of LN patients (Table 2, Figure 2).

Table 2

Variables median (IQR) Non-LN patients (n = 33) LN patients (n = 21) P
Macula
SCP parafoveal VD(%)
1mm Circle 21.6 (17.9, 23.4) 22.4 (18.3, 23.8) 0.380
2.5mm Circle 37.0 (34.7, 38.1) 35.1 (33.6, 36.4) 0.080
Loop 39.6 (37.6, 41.3) 37.7 (35.9, 39.4) 0.046
 Superior 39.9 (37.7, 42.5) 38.7 (36.8, 39.4) 0.028
 Nasal 40.0 (36.1, 41.7) 40.0 (37.7, 41.0) 0.908
 Inferior 39.3 (37.5, 40.8) 37.6 (34.9, 39.3) 0.134
 Temporal 41.3 (37.5, 42.6) 37.9 (35.5, 40.4) 0.007
Whole Image 38.5 (36.2, 39.1) 36.2 (35.4, 38.1) 0.037
SCP parafoveal VLD(%)
1mm Circle 3.7 (3.0, 4.1) 4.0 (3.3, 4.1) 0.500
2.5mm Circle 6.4 (5.8, 6.7) 5.9 (5.8, 6.4) 0.108
 Superior 6.9 (6.4, 7.3) 6.5 (6.1, 6.9) 0.059
 Nasal 7.0 (6.1, 7.3) 6.9 (6.4, 7.2) 0.880
 Inferior 6.8 (6.4, 7.1) 6.5 (6.0, 7.0) 0.092
 Temporal 7.2 (6.7, 7.4) 6.6 (6.2, 7.0) 0.014
Whole Image 6.7 (6.2, 6.9) 6.3 (6.0, 6.7) 0.056
DCP parafoveal VD(%)
1mm Circle 13.6 (11.3, 19.9) 17.2 (12.4, 19.7) 0.380
2.5mm Circle 36.8 (34.4, 38.5) 37.3 (35.3, 39.0) 0.325
Loop 41.1 (39.3, 42.2) 41.3 (39.5, 42.3) 0.389
 Superior 42.0 (39.5, 43.7) 42.0 (39.0, 43.4) 0.915
 Nasal 39.4 (37.4, 42.2) 40.8 (38.5, 44.5) 0.125
 Inferior 40.3 (39.2, 41.8) 40.0 (38.6, 42.6) 0.352
 Temporal 42.1 (39.7, 44.7) 41.0 (39.5, 42.4) 0.370
Whole Image 38.8 (36.8, 40.0) 39.4 (38.1, 40.3) 0.440
DCP parafoveal VLD(%)
1mm Circle 2.8 (2.2, 3.9) 3.5 (2.5, 4.0) 0.283
2.5mm Circle 6.5 (6.2, 6.9) 6.7 (6.4, 7.0) 0.245
 Superior 7.4 (6.9, 7.9) 7.4 (7.1, 7.8) 0.965
 Nasal 7.1 (6.7, 7.3) 7.5 (6.9, 7.8) 0.101
 Inferior 7.2 (6.9, 7.4) 7.2 (6.9, 7.7) 0.267
 Temporal 7.4 (7.0, 8.0) 7.3 (7.1, 7.5) 0.356
Whole Image 7.0 (6.6, 7.2) 7.1 (6.8, 7.3) 0.308
FAZ
FAZ-area (mm2) 0.4 (0.3, 0.5) 0.3 (0.3, 0.5) 0.325
FAZ-circle (mm) 3.8 (3.1, 4.6) 3.3 (3.0, 4.0) 0.361
Optic disc
SCP peripapillary VD(%)
1.5mm Circle 11.3 (8.2, 14.3) 14.7 (11.4, 16.6) 0.022
2.5mm Circle 21.3 (17.4, 23.6) 22.6 (21.2, 23.9) 0.112
3.5mm Circle 26.1 (23.7, 28.0) 27.6 (26.1, 29.0) 0.143
5.0mm Circle 28.4 (25.9, 30.3) 30.4 (27.9, 32.0) 0.164
Inner Circle
 Superior 26.2 (21.5, 28.4) 24.4 (22.9, 28.2) 0.965
 Nasal 28.0 (20.3, 32.3) 28.3 (25.8, 32.2) 0.472
 Inferior 25.3 (20.5, 27.9) 26.3 (22.3, 30.7) 0.104
 Temporal 27.9 (22.6, 32.6) 34.3 (26.1, 37.1) 0.046
Middle Circle
 Superior 30.2 (28.2, 32.6) 31.3 (26.5, 34.4) 0.291
 Nasal 31.3 (27.3, 35.8) 32.7 (28.5, 36.0) 0.908
 Inferior 30.7 (27.8, 32.6) 31.4 (27.2, 32.7) 0.790
 Temporal 34.4 (31.2, 36.9) 34.9 (31.8, 39.6) 0.409
Outer Circle
 Superior 31.8 (29.6, 34.4) 33.6 (27.3, 35.3) 0.540
 Nasal 30.5 (27.8, 33.9) 31.9 (26.9, 34.8) 0.894
 Inferior 31.4 (29.2, 33.2) 31.7 (29.6, 36.1) 0.316
 Temporal 32.5 (29.7, 35.6) 33.5 (28.6, 37.3) 0.576
Whole Image 29.6 (27.5, 31.3) 29.9 (28.3, 32.9) 0.389
DCP peripapillary VD(%)
1.5mm Circle 18.5 (12.5, 25.4) 17.2 (12.3, 28.1) 0.601
2.5mm Circle 20.0 (19.2, 21.2) 19.1 (17.6, 20.8) 0.316
3.5mm Circle 22.8 (21.4, 24.1) 23.3 (20.2, 24.6) 0.576
5.0mm Circle 24.5 (23.0, 25.9) 24.6 (22.1, 26.0) 0.979
Inner Circle
 Superior 21.9 (19.6, 24.9) 20.9 (16.7, 22.9) 0.129
 Nasal 22.7 (19.6, 26.2) 22.7 (17.9, 29.1) 0.908
 Inferior 22.1 (19.8, 25.9) 23.5 (19.8, 25.3) 0.783
 Temporal 27.9 (23.9, 30.9) 26.5 (22.3, 27.6) 0.153
Middle Circle
 Superior 23.9 (21.9, 25.2) 25.4 (21.8, 26.7) 0.540
 Nasal 28.4 (24.4, 32.2) 25.6 (22.7, 30.9) 0.389
 Inferior 25.8 (22.7, 28.2) 24.2 (21.8, 26.3) 0.238
 Temporal 27.6 (23.8, 29.7) 26.1 (24.6, 31.5) 0.763
Outer Circle
 Superior 25.2 (22.6, 27.4) 26.0 (23.9, 27.6) 0.472
 Nasal 28.9 (26.0, 32.2) 31.4 (27.8, 34.5) 0.081
 Inferior 25.5 (22.3, 27.2) 25.3 (22.6, 27.1) 0.922
 Temporal 24.8 (22.2, 29.9) 24.7 (18.4, 31.0) 0.613
Whole Image 25.9 (23.5, 27.6) 25.2 (23.8, 28.5) 0.783

Comparison of macular and optic disc vascular density and vessel length density between SLE patients with and without LN.

Values are median (interquartile range, IQR); SCP, superficial capillary plexus; DCP, deep capillary plexus; VD, vessel density; VLD, vessel length density; FAZ, foveal avascular zone; Parafoveal: macular region 0.5–1.5 mm from the foveal center; Peripapillary: optic disc region surrounding the optic nerve head. Bold values indicate statistically significant results (P < 0.05).

Figure 2

Figure 2

Comparative analysis of retinal microvascular density and vessel length density between LN patients and non-LN patients. We found that compared to non-LN patients, LN patients had lower vessel densities in superficial capillary plexus (SCP-VD)in the loop (A), temporal (B), superior (C), and the whole image (D) areas, as well as lower superficial capillary plexus vessel length density (SCP-VLD) in the temporal area (E). LN, lupus nephritis;*P<0.05, **P<0.01.

3.2.1.3 Foveal avascular zone parameters

A comparative analysis of FAZ parameters was undertaken between patients with LN and those without LN. Nevertheless, no statistically significant differences were identified in either FAZ area or FAZ circle measurements between the two groups (all P>0.05, Table 2).

3.2.1.4 Superficial and deep capillary density in different areas of the optic disc

Patients with LN exhibited elevated SCP-VD in the optic disc region, notably within the 1.5mm circle and temporal side of the inner circle (all P<0.05) (Table 2).

3.2.2 Correlation of vascular parameters with clinical indicators

Our results showed that age, CRP, SLEDAI score and 24-hour urine protein were negatively correlated with VD on multiple sides (Supplementary Table S2).

3.2.3 Retinal vascular changes associated with rheumatological treatments

3.2.3.1 Belimumab

We investigated the vascular density of the superficial and deep capillary plexuses in SLE patients who either used(≥ 8 times) or did not use Belimumab. Notably, our analysis showed that patients who received Belimumab for more than 8 times showed a significant decrease in DCP-VD, particularly in the superior side of the inter circle(19.7 vs 23.0; P=0.023) (Table 3).

Table 3

Variables median (IQR) Without Belimumab (n = 27) With Belimumab (≥8times) (n = 27) P
Macula
SCP parafoveal VD (%)
1mm Circle 22.1 (19.3, 23.5) 21.8 (17.5, 23.8) 0.952
2.5mm Circle 36.4 (34.6, 38.0) 35.8 (33.5, 37.9) 0.320
Loop 39.5 (37.5, 41.1) 38.4 (35.8, 40.2) 0.250
 Superior 39.2 (37.5, 42.0) 38.7 (36.7, 40.3) 0.355
 Nasal 40.7 (37.2, 42.4) 39.2 (36.7, 41.4) 0.164
 Inferior 39.3 (35.9, 40.9) 38.5 (35.8, 39.8) 0.355
 Temporal 40.5 (37.5, 42.2) 39.0 (35.9, 41.2) 0.229
Whole Image 38.1 (36.3, 39.1) 37.0 (35.3, 38.6) 0.130
SCP parafoveal VLD (%)
1mm Circle 3.8 (3.3, 4.1) 3.8 (2.9, 4.2) 0.876
2.5mm Circle 6.4 (5.8, 6.6) 6.2 (5.7, 6.6) 0.382
 Superior 6.9 (6.4, 7.3) 6.7 (6.1, 7.0) 0.431
 Nasal 7.1 (6.2, 7.4) 6.9 (6.3, 7.2) 0.272
 Inferior 6.8 (6.2, 7.1) 6.7 (6.2, 7.0) 0.562
 Temporal 7.0 (6.6, 7.3) 6.7 (6.2, 7.3) 0.223
Whole Image 6.7 (6.2, 6.9) 6.4 (6.1, 6.7) 0.174
DCP parafoveal VD (%)
1mm Circle 13.6 (11.7, 20.3) 15.8 (11.2, 19.4) 0.869
2.5mm Circle 37.3 (35.7, 38.8) 36.7 (34.8, 37.7) 0.243
Loop 41.9 (40.1, 42.9) 40.5 (39.3, 42.0) 0.117
 Superior 42.2 (40.0, 43.7) 41.3 (39.0, 43.6) 0.478
 Nasal 41.8 (38.7, 43.8) 39.4 (36.8, 40.8) 0.110
 Inferior 40.6 (37.6, 42.2) 40.2 (39.5, 42.0) 0.829
 Temporal 42.1 (40.0, 44.2) 41.0 (39.3, 43.3) 0.320
Whole Image 39.5 (37.7, 40.5) 38.6 (37.2, 39.6) 0.110
DCP parafoveal VLD (%)
1mm Circle 2.7 (2.4, 3.9) 3.2 (2.3, 4.0) 0.802
2.5mm Circle 6.7 (6.4, 6.9) 6.6 (6.3, 6.9) 0.551
 Superior 7.5 (7.0, 7.9) 7.2 (7.0, 7.8) 0.551
 Nasal 7.2 (6.8, 7.6) 7.1 (6.7, 7.4) 0.272
 Inferior 7.1 (6.8, 7.5) 7.2 (7.0, 7.5) 0.775
 Temporal 7.4 (7.2, 7.8) 7.3 (6.9, 7.8) 0.328
Whole Image 7.1 (6.8, 7.2) 7.0 (6.8, 7.2) 0.346
FAZ
FAZ-area (mm2) 0.4 (0.3, 0.5) 0.3 (0.3, 0.5) 0.373
FAZ-circle (mm) 3.8 (3.1, 4.7) 3.4 (3.0, 4.3) 0.320
Optic disc
SCP peripapillary VD (%)
1.5mm Circle 11.3 (8.5, 15.1) 12.7 (10.7, 16.4) 0.397
2.5mm Circle 21.8 (18.7, 23.4) 22.6 (19.4, 24.4) 0.382
3.5mm Circle 26.2 (24.2, 28.2) 27.2 (24.8, 29.0) 0.622
5.0mm Circle 29.6 (27.0, 31.3) 29.3 (26.3, 31.3) 0.842
Inter Circle
 Superior 24.9 (22.1, 28.7) 26.3 (21.8, 28.3) 0.966
 Nasal 27.8 (21.8, 32.0) 29.3 (25.6, 32.2) 0.551
 Inferior 25.3 (21.6, 28.4) 25.9 (19.6, 29.9) 0.789
 Temporal 27.9 (21.7, 33.2) 32.4 (25.8, 35.9) 0.197
Middle Circle
 Superior 31.6 (28.4, 33.7) 29.7 (26.2, 33.2) 0.264
 Nasal 32.0 (29.0, 36.2) 31.8 (26.6, 33.9) 0.382
 Inferior 30.2 (26.3, 32.6) 31.4 (27.8, 33.2) 0.243
 Temporal 33.9 (30.1, 36.2) 35.0 (33.0, 39.8) 0.110
Outer Circle
 Superior 33.0 (31.1, 35.3) 30.2 (26.7, 34.5) 0.082
 Nasal 32.3 (29.3, 34.3) 29.7 (26.4, 34.1) 0.280
 Inferior 31.4 (28.8, 34.6) 31.5 (29.4, 34.8) 0.815
 Temporal 32.7 (29.1, 36.0) 32.5 (29.2, 35.8) 0.647
Whole Image 30.2 (27.5, 32.4) 29.6 (27.8, 31.2) 0.539
DCP peripapillary VD (%)
1.5mm Circle 20.1 (12.6, 27.2) 15.2 (11.9, 25.9) 0.411
2.5mm Circle 19.9 (18.6, 20.7) 20.0 (17.5, 21.2) 0.924
3.5mm Circle 22.8 (20.6, 24.3) 23.3 (20.8, 24.1) 0.924
5.0mm Circle 24.5 (22.7, 25.9) 24.7 (22.3, 26.1) 0.869
Inter Circle
 Superior 23.0 (20.3, 25.5) 19.7 (18.2, 22.8) 0.023
 Nasal 22.7 (18.9, 27.2) 22.7 (18.5, 26.5) 0.966
 Inferior 22.5 (19.3, 25.6) 23.7 (19.8, 25.8) 0.697
 Temporal 26.7 (23.9, 30.0) 27.1 (23.3, 30.5) 0.979
Middle Circle
 Superior 24.3 (22.4, 25.9) 24.0 (20.8, 26.5) 0.574
 Nasal 28.4 (24.6, 32.7) 26.1 (22.3, 29.8) 0.139
 Inferior 24.7 (20.6, 26.1) 26.0 (24.1, 29.3) 0.085
 Temporal 26.1 (22.8, 28.9) 26.9 (24.7, 31.7) 0.110
Outer Circle
 Superior 25.6 (24.5, 28.2) 24.9 (22.4, 27.0) 0.250
 Nasal 30.2 (27.2, 32.7) 29.6 (26.0, 32.9) 0.802
 Inferior 25.2 (21.7, 27.5) 25.7 (23.3, 27.0) 0.164
 Temporal 24.5 (21.9, 27.3) 26.3 (19.6, 30.3) 0.574
Whole Image 25.9 (23.5, 27.9) 25.2 (23.8, 28.5) 0.910

Comparison of macular and optic disc vascular density and vessel length density among SLE patients using Belimumab.

SCP, superficial capillary plexus; DCP, deep capillary plexus; VD, vessel density; VLD, vessel length density; FAZ, foveal avascular zone; Parafoveal: macular region 0.5–1.5 mm from the foveal center; Peripapillary: optic disc region surrounding the optic nerve head. Bold values indicate statistically significant results (P < 0.05).

3.2.3.2 Hydroxychloroquine

We also evaluated vascular density in the superficial and deep capillary plexuses of SLE patients based on HCQ treatment. In the macular region, SLE patients using HCQ for over 5 years showed significantly lower DCP-VD, particularly in the 1mm circle (12.3 vs. 17.1; P=0.029), 2.5mm circle (35.6 vs. 37.4; P=0.019), loop (39.9 vs. 41.9; P=0.016), and whole image area (38.1 vs. 39.5; P=0.019). DCP-VLD was also reduced in these patients at the 1mm circle (2.5 vs. 3.5; P=0.036), 2.5mm circle (6.4 vs. 6.7; P=0.025), and whole image areas(6.8 vs. 7.1; P=0.028) (Table 4).

Table 4

Variables median (IQR) <5 Years
(n = 35)
≥5 Years
(n = 19)
P
Macula
SCP parafoveal VD (%)
1mm Circle 22.1 (19.0, 23.7) 21.6 (14.5, 23.5) 0.273
2.5mm Circle 36.2 (33.6, 38.0) 36.1 (34.2, 37.4) 0.765
Loop 38.8 (35.8, 41.1) 39.4 (37.6, 40.6) 0.949
 Superior 39.0 (36.4, 42.3) 39.1 (37.8, 40.3) 0.949
 Nasal 40.0 (36.3, 41.6) 40.1 (37.6, 41.5) 0.779
 Inferior 39.3 (35.9, 40.6) 38.5 (35.5, 39.8) 0.544
 Temporal 40.4 (36.4, 42.0) 39.8 (36.9, 42.0) 0.906
Whole imagine 37.6 (35.3, 39.1) 37.9 (36.0, 38.8) 0.892
SCP parafoveal VLD (%)
1mm Circle 3.8 (3.3, 4.1) 3.7 (2.6, 4.0) 0.351
2.5mm Circle 6.3 (5.8, 6.7) 6.4 (5.8, 6.5) 0.779
 Superior 6.7 (6.2, 7.3) 6.7 (6.4, 7.0) 0.807
 Nasal 7.0 (6.2, 7.3) 6.9 (6.4, 7.3) 0.993
 Inferior 6.8 (6.3, 7.1) 6.7 (6.1, 7.0) 0.562
 Temporal 7.0 (6.5, 7.3) 7.1 (6.3, 7.4) 0.593
Whole imagine 6.6 (6.1, 6.9) 6.6 (6.3, 6.7) 0.964
DCP parafoveal VD (%)
1mm Circle 17.1 (12.2, 20.5) 12.3 (9.3, 17.5) 0.029
2.5mm Circle 37.4 (36.1, 39.1) 35.6 (34.7, 37.2) 0.019
Loop 41.9 (40.1, 42.9) 39.9 (39.1, 41.2) 0.016
 Superior 42.2 (39.8, 44.0) 41.3 (39.0, 42.6) 0.166
 Nasal 40.8 (38.5, 44.0) 39.4 (37.3, 40.2) 0.160
 Inferior 40.7 (39.4, 42.1) 39.6 (36.8, 40.9) 0.084
 Temporal 41.8 (40.6, 44.2) 40.3 (38.5, 42.5) 0.109
Whole imagine 39.5 (38.4, 40.4) 38.1 (36.4, 38.8) 0.019
DCP parafoveal VLD (%)
1mm Circle 3.5 (2.5, 4.1) 2.5 (2.0, 3.4) 0.036
2.5mm Circle 6.7 (6.5, 7.0) 6.4 (6.2, 6.7) 0.025
 Superior 7.5 (7.1, 7.9) 7.2 (7.0, 7.6) 0.140
 Nasal 7.3 (6.7, 7.6) 7.0 (6.9, 7.1) 0.208
 Inferior 7.3 (7.1, 7.6) 7.1 (6.5, 7.3) 0.054
 Temporal 7.4 (7.2, 7.8) 7.1 (6.9, 7.5) 0.090
Whole image 7.1 (6.9, 7.3) 6.8 (6.6, 7.1) 0.028
FAZ
FAZ-area(mm2) 0.4 (0.3, 0.5) 0.3 (0.3, 0.5) 0.971
FAZ-circle(mm) 3.4 (2.9, 4.6) 3.3 (3.0, 4.2) 0.744
Optic disc
SCP peripapillary VD (%)
1.5mm Circle 12.5 (9.9, 15.1) 11.3 (8.9, 17.6) 0.849
2.5mm Circle 22.4 (19.0, 23.8) 21.4 (18.7, 24.1) 0.556
3.5mm Circle 27.5 (24.1, 28.9) 27.0 (24.9, 28.0) 0.544
5.0mm Circle 29.6 (26.8, 31.8) 29.2 (26.8, 30.5) 0.644
Inter Circle
 Superior 26.1 (21.8, 29.2) 25.9 (22.0, 27.1) 0.360
 Nasal 29.7 (21.6, 32.4) 27.8 (24.4, 31.6) 0.906
 Inferior 26.3 (21.0, 29.7) 22.3 (19.1, 26.9) 0.243
 Temporal 29.7 (24.0, 36.7) 27.9 (22.7, 34.7) 0.474
Middle Circle
 Superior 31.6 (28.2, 34.2) 29.1 (27.3, 32.6) 0.235
 Nasal 31.9 (27.1, 36.1) 31.8 (29.0, 35.2) 0.935
 Inferior 31.3 (27.8, 32.8) 30.2 (26.9, 32.6) 0.328
 Temporal 35.1 (32.7, 38.8) 34.4 (29.5, 35.4) 0.202
Outer Circle
 Superior 33.1 (29.6, 35.3) 31.3 (29.1, 34.1) 0.258
 Nasal 29.7 (26.0, 33.3) 32.8 (30.2, 34.6) 0.080
 Inferior 32.4 (29.4, 35.1) 31.4 (29.2, 33.3) 0.360
 Temporal 32.5 (29.1, 36.7) 32.7 (29.0, 35.1) 0.697
Whole image 30.6 (28.1, 32.7) 29.2 (27.5, 30.1) 0.087
DCP peripapillary VD(%)
1.5mm Circle 24.0 (13.0, 27.9) 14.8 (10.9, 18.5) 0.033
2.5mm Circle 19.9 (18.5, 21.2) 19.9 (18.6, 20.6) 0.724
3.5mm Circle 23.0 (20.9, 24.0) 22.8 (20.0, 24.8) 0.964
5.0mm Circle 24.6 (22.6, 26.0) 24.5 (22.8, 26.4) 0.949
Inter Circle
 Superior 20.9 (19.1, 23.2) 21.9 (19.3, 24.9) 0.520
 Nasal 22.5 (18.8, 26.1) 25.0 (19.5, 30.4) 0.281
 Inferior 23.5 (19.9, 25.9) 21.7 (18.4, 25.2) 0.281
 Temporal 27.9 (24.2, 30.9) 25.4 (23.3, 27.6) 0.150
Middle Circle
 Superior 24.4 (21.4, 26.4) 23.9 (22.3, 25.0) 0.738
 Nasal 28.0 (23.5, 31.3) 25.9 (22.9, 30.4) 0.878
 Inferior 25.3 (22.3, 27.1) 24.4 (22.5, 27.8) 0.878
 Temporal 26.5 (24.2, 29.7) 27.7 (24.4, 31.0) 0.431
Outer Circle
 Superior 25.7 (23.7, 28.0) 24.9 (22.5, 26.2) 0.273
 Nasal 29.1 (26.1, 32.3) 30.3 (27.8, 34.0) 0.298
 Inferior 25.6 (22.6, 27.5) 25.2 (22.0, 26.3) 0.463
 Temporal 24.8 (22.2, 28.4) 24.7 (19.0, 31.1) 0.657
Whole image 25.4 (23.9, 28.0) 25.2 (23.3, 27.7) 0.644

Comparison of macular and optic disc vascular density and vessel length density based on HCQ treatment duration.

LN, lupus nephritis; HCQ, hydroxychloroquine; SCP, superficial capillary plexus; DCP, deep capillary plexus; VD, vessel density; VLD, vessel length density; FAZ, foveal avascular zone; Parafoveal: macular region 0.5–1.5 mm from the foveal center; Peripapillary: optic disc region surrounding the optic nerve head. Bold values indicate statistically significant results (P < 0.05).

3.2.3.3 Glucocorticoids

Compared to those who never used GC, patients with GC use showed reduced SCP-VD on the inferior side of the optic disc’s middle circle (30.1 vs. 32.5; P=0.042), (Supplementary Table S3).

3.2.3.4 Mycophenolate mofetil

Our results showed that MMF users had lower SCP-VD and SCP-VLD on the macular temporal side (37.2 vs. 40.6; P=0.020 and 6.5 vs. 7.1; P=0.045) and reduced DCP-VD in the optic disc’s 2.5mm circle (18.9 vs. 20.0; P=0.041) and temporal inner circle (24.4 vs. 28.3; P=0.012), with increased DCP-VD on the nasal outer circle (32.0 vs. 28.7; P=0.013) (Supplementary Table S4).

3.2.4 Association between cumulative drug exposure and vascular density

The study explored the relationship between OCTA data and cumulative doses of HCQ and GC in SLE patients. The results indicate a negative correlation between cumulative HCQ doses and SCP-VD in multiple optic disc regions. Similarly, higher cumulative GC doses were negatively correlated with VD in various SCP and DCP regions of the optic disc area (all P<0.05, Table 5, Figure 3).

Table 5

Variables HCQ cumulative dose GC cumulative dose
R P R P
Macula
SCP parafoveal VD(%)
1mm Circle 0.127 0.361 0.014 0.918
2.5mm Circle 0.096 0.491 -0.054 0.701
Loop 0.078 0.574 -0.037 0.790
 Superior -0.034 0.809 -0.162 0.241
 Nasal 0.083 0.552 -0.132 0.341
 Inferior 0.188 0.173 0.001 0.996
 Temporal -0.061 0.662 -0.061 0.661
Whole Image 0.108 0.437 -0.008 0.953
SCP parafoveal VLD(%)
1mm Circle 0.16 0.247 0.051 0.715
2.5mm Circle 0.138 0.32 -0.002 0.990
 Superior 0.007 0.96 -0.113 0.416
 Nasal 0.078 0.575 -0.103 0.457
 Inferior 0.214 0.12 0.03 0.831
 Temporal 0.05 0.719 0.036 0.798
Whole Image 0.143 0.302 0.01 0.946
DCP parafoveal VD(%)
1mm Circle -0.017 0.903 0.045 0.745
2.5mm Circle -0.01 0.943 -0.112 0.422
Loop -0.016 0.907 -0.161 0.246
 Superior -0.027 0.846 -0.052 0.708
 Nasal 0.01 0.945 -0.117 0.401
 Inferior 0.128 0.355 0.018 0.896
 Temporal -0.102 0.461 -0.146 0.293
Whole Image -0.088 0.526 -0.114 0.410
DCP parafoveal VLD(%)
1mm Circle 0.008 0.953 0.069 0.620
2.5mm Circle 0.092 0.506 0.018 0.897
 Superior 0.094 0.499 0.08 0.564
 Nasal 0.094 0.497 -0.062 0.656
 Inferior 0.169 0.223 0.068 0.627
 Temporal 0.029 0.837 -0.052 0.708
Whole Image 0.037 0.79 0.003 0.981
FAZ
FAZ-area (mm2) 0.016 0.909 0.035 0.804
FAZ-circle (mm) 0.098 0.48 0.091 0.514
Optic disc
SCP peripapillary VD(%)
1.5mm Circle -0.067 0.631 -0.1 0.474
2.5mm Circle -0.185 0.181 -0.212 0.124
3.5mm Circle -0.251 0.067 -0.315 0.020
5.0mm Circle -0.28 0.041 -0.354 0.009
Inner Circle
 Superior -0.088 0.526 -0.002 0.986
 Nasal -0.026 0.853 -0.057 0.685
 Inferior -0.439 0.001 -0.346 0.010
 Temporal -0.133 0.336 -0.118 0.397
Middle Circle
 Superior -0.137 0.325 -0.082 0.557
 Nasal -0.201 0.146 -0.259 0.059
 Inferior -0.371 0.006 -0.459 <0.001
 Temporal -0.278 0.042 -0.276 0.043
Outer Circle
 Superior -0.27 0.048 -0.262 0.056
 Nasal -0.092 0.51 -0.159 0.252
 Inferior -0.314 0.021 -0.378 0.005
 Temporal -0.228 0.097 -0.155 0.264
Whole Image -0.309 0.023 -0.408 0.002
DCP peripapillary VD(%)
1.5mm Circle 0.234 0.089 -0.101 0.468
2.5mm Circle -0.102 0.463 -0.238 0.083
3.5mm Circle -0.173 0.21 -0.292 0.032
5.0mm Circle -0.144 0.3 -0.262 0.056
Inner Circle
 Superior -0.072 0.606 -0.096 0.488
 Nasal -0.103 0.46 -0.206 0.135
 Inferior -0.15 0.279 -0.299 0.028
 Temporal -0.247 0.072 -0.149 0.281
Middle Circle
 Superior -0.053 0.703 -0.099 0.477
 Nasal -0.243 0.076 -0.289 0.034
 Inferior 0.016 0.907 -0.165 0.232
 Temporal -0.035 0.803 0.005 0.971
Outer Circle
 Superior -0.19 0.169 -0.239 0.082
 Nasal 0.021 0.881 -0.004 0.979
 Inferior -0.145 0.294 -0.29 0.033
 Temporal -0.065 0.642 -0.102 0.464
Whole Image -0.099 0.478 -0.286 0.036

Correlation of ocular indicators with cumulative doses of HCQ and GC in SLE patients.

HCQ, hydroxychloroquine; GC, glucocorticoids; SCP, superficial capillary plexus; DCP, deep capillary plexus; VD, vessel density; VLD, vessel length density; FAZ, foveal avascular zone; Bold values indicate statistically significant results (P < 0.05).

Figure 3

Figure 3

Linear regression scatter plots showed the correlation between retinal vascular density changes and cumulative doses of HCQ (A–D) or GC (E–H) in different retinal regions. HCQ, hydroxychloroquine; GC, glucocorticoid; SCP-VD, superficial capillary plexus vessel density.

3.2.5 Regression analysis of factors associated with parafoveal DCP vessel density

In our univariate regression analysis, it was found that LN, Belimumab treatment, and MMF treatment all had a negative impact on DCP-VD (β < 0). Notably, the effect of Belimumab treatment was statistically significant [β= -2.29 (-4.55~ -0.02), P = 0.048] (Supplementary Table S5, Figure 4). However, in the multivariate analysis, the effects of these agents were attenuated [β=-1.82(-4.17~0.53), P = 0.135] (Supplementary Table S5).

Figure 4

Figure 4

Univariate linear regression analysis of the impact of Belimumab and other factors on DCP peripapillary VD. Univariate regression analysis showed that LN, Belimumab treatment, and MMF treatment all had a negative impact on DCP peripapillary VD (β < 0). Notably, the effect of Belimumab treatment was statistically significant (P = 0.048); DCP, deep capillary plexus; VD, vessel density; LN, lupus nephritis; HCQ, Hydroxychloroquine; MMF, mycophenolate mofetil.

3.3 Comparison of cytokines and lymphocyte subsets before and after Belimumab treatment

We found that patients treated with Belimumab showed a significant decrease in CD19+ B cells (5.2% vs 9.8% ; P < 0.001) and IL-10 levels (0.3 pg/ml vs 0.8 pg/ml ; P = 0.026). There were no statistically significant differences in changes in other lymphocyte subsets and cytokines before and after treatment (Table 6, Figure 5).

Table 6

Variables Before Belimumab (n = 27) After Belimumab (n=27) P
Lymphocyte subsets
CD3+(65-79),% 83.6 (77.6, 88.2) 85.3 (83.9, 89.2) 0.152
CD3+CD4+(34-52),% 35.7 (31.9, 43.2) 36.1 (31.5, 46.6) 0.563
CD3+CD8+(21-39),% 47.4 (33.4, 51.9) 42.1 (36.5, 50.2) 0.715
CD19+(9.02-14.1),% 9.8 (6.6, 14.9) 5.2 (3.3, 6.5) < 0.001
NK(10.04-19.78),% 4.6 (3.5, 7.3) 5.3 (4.7, 8.2) 0.091
Cytokines
IL-2 (≤4.34), pg/ml 1.0 (1.0, 2.3) 1.1 (1.1, 1.4) 0.764
IL-4 (≤2.90), pg/ml 2.4 (1.5, 3.5) 1.8 (1.6, 2.8) 0.991
IL-6 (≤5.04), pg/ml 1.5 (1.5, 1.6) 1.5 (1.5, 2.8) 0.246
IL-10 (≤5.00), pg/ml 0.8 (0.2, 2.4) 0.3 (0.2, 0.4) 0.026
IFN-γ (≤3.87), pg/ml 1.5 (1.5, 2.1) 1.5 (1.1, 1.9) 0.082
TNF-α (≤4.41), pg/ml 1.2 (0.7, 2.1) 1.2 (1.0, 1.6) 0.802

Comparison of cytokines and lymphocyte subsets between patients before and after treatment with Belimumab.

NK, natural killer cells; IL, Interleukin; IFN-γ, Interferon-gamma; TNF-α, tumor necrosis factor alpha. Normal value ranges are given in parentheses after the indicator. Bold values indicate statistically significant results (P < 0.05).

Figure 5

Figure 5

Comparison of lymphocyte subsets and cytokines between patients before and after treatment with Belimumab. The changes in lymphocyte subsets (A–E) and cytokines (F–K) in patients before and after treatment with Belimumab were compared. CD19+ B cells significantly decreased (***P < 0.001), and IL-10 levels increased (*P < 0.05) in treated patients. IL, interleukin; IFN-γ, interferon-gamma; TNF-α, tumor necrosis factor-alpha; NK, natural killer cells.

4 Discussion

SLE patients with LN experience higher morbidity and mortality rates compared to those without nephritis, leading to worse survival outcomes. Furthermore, lupus retinopathy can occur due to a vasculitic process affecting the microvasculature of the retina.The relationship between SLE and ocular vascular involvement is of particular clinical significance and requires comprehensive understanding. Previous studies found reduced retinal microvascular density in SLE patients, particularly those with renal involvement, compred to healthy controls (1, 3, 25). Recognizing the significance of ocular involvement is crucial for comprehensive management and improved outcomes in individuals with LN.

With the advent of steroids and immunosuppressive therapies, the incidence of retinal involvement in SLE patients ranges from 7-29%, which is associated with visual loss (26, 27). The main mechanisms leading to SLE retinopathy are the immune complex-mediated microangiopathic vasculopathy, secondary hypertension resulting in kidney involvement with activation of the renin-angiotensin-aldosterone system (RAAS), and the micro-thrombosis associated with either underlying endothelial injury or antiphospholipid (aPL) antibodies presence (2830).In SLE patients, due to abnormal activity of the immune system, immune complexes may deposit in ocular tissues, which can lead to inflammation and damage to the retinal blood vessels, resulting in a decrease in retinal vascular density (28).

In SLE patients with early retinal lesions, the subjective perception of visual loss may be subtle due to the absence of prominent clinical manifestations. However, delayed recognition of visual impairment often coincides with the progression of retinal lesions, in concurrence with the advancing SLE pathology, rendering subsequent treatment interventions considerably more complex. Therefore, early detection and diagnosis of ocular involvement are crucial in SLE patients.

In recent years, there has been growing interest in the use of OCTA to detect early ocular vascular damage in systemic conditions, including arterial hypertension (31), diabetes (32), and chronic kidney disease (4). As a multisystemic disease, OCTA plays a particularly significant role in the early assessment of ocular vasculature in patients with SLE.

Wang et al. observed significant reductions in central macular thickness and in both the SCP-VD and DCP-VD of SLE patients compared to healthy controls as determined by OCTA. Additionally, no significant difference was found in retinal vascular densities between the LN and non-LN groups (33). Our research findings demonstrated that in LN patients, the loop area, superior, temporal, and whole image areas in the superficial capillaries exhibited significantly lower densities compared to the non-LN group (p <0.05), consistent with the findings of Conigliaro et al. Remarkably, we observed a significant negative correlation between vascular density and 24-hour urinary protein levels, further elucidating the association between ocular vascular density and renal impairment in patients. These patterns may reflect the cumulative burden of systemic inflammation and immunomodulation on the retinal microcirculation, supporting the utility of OCTA in capturing subclinical vascular damage.

The distinct retinal microvascular alterations in LN patients are strongly associated with shared pathophysiological mechanisms involving both ocular and renal microvasculature. Immune complex deposition induces endothelial activation and inflammation, leading to vascular damage (34). Elevated cytokines such as IL-6 and TNF-α exacerbate systemic inflammation, promoting endothelial dysfunction and microvascular remodeling (35).Furthermore, antiphospholipid antibodies contribute to thrombotic microangiopathy, resulting in vascular occlusion and ischemia (36).

Based on our findings of significantly reduced SCP-VD in LN patients, we further analyzed the associations between clinical parameters and vascular density. Taking into account the observed associations between age and CRP level changes with SCP-VD, therefore, we have considered that the reduction of SCP-VD is associated with vasculitis.

The retinal vasculature is one of the vessels that can be directly observed in SLE patients, and its performance often reflects the degree of systemic vascular damage. Similar to Conigliaro et al. and Ermurat et al. results, our study has revealed a negative correlation between the SLEDAI-2K scores and the retinal microvascular VD (1, 37).

While previous studies have reported enlargement in FAZ parameters in patients with SLE (38, 39), some other studies have failed to confirm this and reported no significant differences between SLE patients and control groups (40, 41). In our study, we didn’t observe an enlargement in the FAZ perimeter and FAZ area in LN patients. Based on our findings, we propose that the changes in vascular density in SLE are more prominent in the perifoveal area, while the parafovea and fovea are comparatively less affected.

In addition to the direct effects of SLE, drugs used in SLE therapy can potentially lead to retinal and visual impairment (42). HCQ was particularly associated with maculopathy and irreversible retinal damage (43). MTX can cause ischemic retinal complications, while cyclosporine can result in decreased visual acuity (44, 45).

To the best of our knowledge, this is the first investigation into the impact of Belimumab on retinal microvascular density in SLE patients. Our findings suggested that the use of Belimumab correlates with a decrease in vascular density.

Belimumab, as an emerging targeted therapy, is widely used in rheumatic diseases such as SLE, LN, and Sjögren’s syndrome, and has shown promising therapeutic outcomes (4648). Therefore, it is crucial to closely monitor ocular involvement associated with the use of Belimumab to prevent severe visual impairment.

Notably, our research findings indicate a decrease in retinal microvascular vessel density in the patients treated with Belimumab, which has sparked great interest in us. Previous studies have shown promising efficacy of Belimumab in anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis and cryoglobulinemic vasculitis (49, 50). However, our research results reveal a reduction in retinal microvascular vessel density in patients treated with Belimumab.

To investigate how Belimumab affects ocular vascular density, we compared cytokine and lymphocyte subset levels among patients before and after Belimumab treatment. We found that patients treated with Belimumab showed a significant decrease in CD19+ B cells and IL-10 levels. Previous studies showed that B-cell activating factor (BAFF) enhances angiogenesis and endothelial cell proliferation by upregulating vascular endothelial growth factor (VEGF) expression (51, 52). Furthermore, studies have indicated a correlation between CD19+ B cell numbers and VEGF expression levels. These cells are pivotal within the tumor microenvironment, influencing both VEGF expression and angiogenesis (53, 54). We hypothesize that the long-term use of Belimumab inhibits BAFF, subsequently altering B cell function and leading to a reduction in CD19+ cell counts, which ultimately affects VEGF expression and vascular density. Although prior immunological studies support this mechanistic pathway, it remains hypothetical due to the absence of direct VEGF measurements in our study. Additionally, our correlation regression analysis indicates that the use of Belimumab treatment negatively impacts DCP peripapillary VD. Our regression analysis, which adjusted for key confounders such as LN prevalence and disease duration (Supplementary Table S6), showed that while these adjustments attenuated Belimumab’s effects, the consistent negative trend observed across both univariate (β = -2.29, P = 0.048) and multivariate analyses (β = -1.82, P = 0.135) suggests a potential role for Belimumab in influencing retinal vascular density. This may justify the inclusion of routine OCTA screening in clinical follow-up protocols for patients with SLE, particularly those receiving biologic agents. However, due to the limited sample size in our study, expanding the cohort is essential to validate the reliability of our findings.

Previous studies have evaluated the effect of HCQ on retinal microvascular structure and suggested its potential protective effect. However, these studies did not conduct subgroup analyses considering factors like cumulative dose and duration of use (1, 55). In contrast, Mihailovic et al. performed a study with low- and high-risk subgroups based on HCQ use duration and cumulative dose, revealing that the protective effect was only present in the low-risk group (38). Our findings indicate that patients treated with HCQ for more than 5 years showed reduced DCP-VD in the 1.5 mm circle, 2.5mm circle and loop area. These results are consistent with the result of Jelena et al (14). We hypothesize that these differences may be attributed to prolonged disease duration and long-term HCQ use. It is worth noting that we conducted further analysis and found a negative correlation between retinal vascular density and the cumulative dose of HCQ and GC in patients. Higher cumulative doses of HCQ and GC may contribute to a reduction in retinal vascular density, emphasizing the potential influence of long-term HCQ treatment on retinal vascular density in SLE patients. Additionally, longer disease duration may also negatively impact retinal vascular density. These findings underscore the importance of regular monitoring and assessment of ocular health in SLE patients, especially those receiving long-term HCQ treatment.

Our study also has several limitations. Our cross-sectional study design limits the ability to establish causal relationships between retinal vascular density changes and Belimumab treatment. While we adjusted for confounders such as LN status and disease duration, the multifactorial nature of retinal microvascular changes makes it challenging to disentangle the effects of treatment from those of disease severity. Additionally, the absence of a healthy control group for comparison limits the generalizability of our findings. The observed associations, while statistically significant, require further investigation to confirm their clinical relevance. To address the limitations of this study, we are conducting ongoing longitudinal cohort studies incorporating serial OCTA imaging to investigate the cumulative effects of Belimumab on microvascular health, aiming to validate these findings and establish their clinical relevance.

5 Conclusion

In conclusion, our study found lower parafoveal SCP-VD of SLE-LN patients without retinopathy compared to SLE patients. Notably, Belimumab treatment resulted in a reduction in peripapillary DCP-VD area. These findings enhance our understanding of treatment effects on retinal vasculature in SLE. Our results highlight the potential of OCTA for early detection of retinal vascular damage in SLE-LN patients without retinopathy. Future studies with larger cohorts can provide further insights into these observations.

These findings support the value of incorporating routine OCTA screening into clinical follow-up for SLE patients, especially those undergoing long-term biologic therapy, to detect subclinical retinal changes. Such integration may facilitate earlier therapeutic intervention and more individualized disease management.

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 authors.

Ethics statement

The studies involving humans were approved by The Ethics Committee of the Second Affiliated Hospital of Guangzhou Medical University. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants’ legal guardians/next of kin in accordance with the national legislation and institutional requirements.

Author contributions

MM: Conceptualization, Data curation, Software, Visualization, Writing – original draft. JZ: Conceptualization, Data curation, Methodology, Writing – original draft. PL: Conceptualization, Data curation, Software, Visualization, Writing – original draft. DJ: Data curation, Methodology, Software, Visualization, Writing – original draft. HL: Data curation, Visualization, Writing – review & editing. ZeL: Data curation, Methodology, Supervision, Writing – review & editing. ZY: Methodology, Supervision, Writing – review & editing. YH: Methodology, Supervision, Writing – review & editing. WH: Conceptualization, Resources, Supervision, Writing – review & editing. LW: Data curation, Software, Writing – review & editing. ZhL: Conceptualization, Methodology, Supervision, Validation, Writing – review & editing. SY: Conceptualization, Methodology, Resources, Supervision, Validation, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by the Guangdong Basic and Applied Basic Research Foundation of Guangdong Province, China (Grant No. 2019A1515011094); the Guangdong Basic and Applied Basic Research Foundation of Guangdong Province, China (Grant No. 2022A1515010471); the Guangzhou Science and Technology Planning Project of Guangdong Province, China (Grant No. 202102010139); Multi-center Clinical Research Project Fund of the Second Affiliated Hospital of Guangzhou Medical University of Guangdong Province, China (Grant No. 2022-LCYJ-YYDZX-05).

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.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

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.2025.1511133/full#supplementary-material

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Summary

Keywords

systemic lupus erythematosus, lupus nephritis, optical coherence tomography angiography, retinal microvascular, Belimumab

Citation

Maitiyaer M, Zhang J, Li P, Jiang D, Li H, Lin Z, Ye Z, Huo Y, Huang W, Wang L, Liu Z and Yu S (2025) Belimumab-driven reductions in retinal microvascular density assessed by optical coherence tomography angiography: insights from systemic lupus erythematosus patients. Front. Immunol. 16:1511133. doi: 10.3389/fimmu.2025.1511133

Received

17 October 2024

Accepted

05 May 2025

Published

16 June 2025

Volume

16 - 2025

Edited by

Alex Fonollosa, Cruces University Hospital, Spain

Reviewed by

Olga Araújo, Hospital Clinic of Barcelona, Spain

Joseba Artaraz, Hospital de Cruces, Spain

Updates

Copyright

*Correspondence: Shuilian Yu, ; Zhiping Liu,

†These authors have contributed equally to this work and share first authorship

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.

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