| Literature DB >> 34116715 |
Miao Miao1,2, Xian Xiao1,2, Jiayi Tian1,2, Yunzhi Zhufeng1,2, Ruiling Feng1,2, Ruijun Zhang1,2, Jiali Chen1,2, Xiaoying Zhang1,2, Bo Huang1,2, Yuebo Jin1,2, Xiaolin Sun3,4, Jing He5,6, Zhanguo Li1,2.
Abstract
OBJECTIVE: To investigate the regulation of T follicular regulatory (Tfr) and T follicular (Tfh) cell subtypes by low-dose IL-2 in systemic lupus erythematosus (SLE) in a randomized, double-blind, placebo-controlled clinical trial.Entities:
Keywords: Low-dose interleukin-2; Systemic lupus erythematosus; T follicular helper cell; T follicular regulatory cell
Mesh:
Substances:
Year: 2021 PMID: 34116715 PMCID: PMC8194162 DOI: 10.1186/s13075-021-02535-6
Source DB: PubMed Journal: Arthritis Res Ther ISSN: 1478-6354 Impact factor: 5.156
Baseline characteristics of SLE patients and healthy controls (HC) in this study
| Characteristics | SLE (n=60) | HC (n=23) | |
|---|---|---|---|
| Age, year, mean ±SD | 30.84±9.48 | 29.83±9.72 | 0.474 |
| Female/Male | 56/4 | 21/2 | >0.99 |
| Duration, months, mean ±SD | 65.15±58.65 | - | - |
| Medications | - | - | |
| Prednisone dose, mg/day, median (range) | 13.5 (0, 50) | - | - |
| Hydroxychloroquine | 57 (95) | - | - |
| Cyclophosphamide | 4 (6.67) | - | - |
| Azathioprine | 5 (8.33) | - | - |
| Cyclosporine | 5 (8.33) | - | - |
| Mycophenolate Mofetil | 17 (28.33) | - | - |
| Tacrolimus | 2 (3.33) | - | - |
| Leflunomide | 4 (6.67) | - | - |
| Thalidomide | 1 (1.67) | - | - |
| Methotrexate | 1 (1.67) | - | - |
| Interleukin-2 | 30 (50) | - | - |
For a continuous variable, median (range), or mean±SD. For a categorical variable, count (percentage). SLE systemic lupus erythematosus
Fig. 1tSNE analysis of CD4 T subsets based on immune cells flow cytometry markers. tSNE, t-stochastic neighbor embedding
Difference of CD4 T subsets between HC and SLE, and between active and remission group
| Variables | HC | SLE | |||
|---|---|---|---|---|---|
| Active (n=60) | Remission (n=59) | ||||
| | 1.22 (1, 1.47) | 0.95 (0.65, 1.53) | 1.6 (0.97, 2.49) | 0.087 | 0.001 |
| | 0.09 (0.04, 0.14) | 0.06 (0.03, 0.1) | 0.13 (0.06, 0.25) | 0.033 | <0.001 |
| | 0.01 (0.007, 0.013) | 0.003 (0.002, 0.008) | 0.02 (0.009, 0.052) | <0.001 | <0.001 |
| | 0.28 (0.17, 0.43) | 0.39 (0.24, 0.56) | 0.19 (0.09, 0.37) | 0.081 | 0.002 |
| | 0.61 (0.38, 0.99) | 0.2 (0.08, 0.36) | 0.17 (0.09, 0.28) | <0.001 | 0.42 |
| | 1.06 (0.58, 1.5) | 0.42 (0.21, 0.6) | 0.36 (0.19, 0.68) | <0.001 | 0.367 |
| | 0.45 (0.15, 0.65) | 0.47 (0.27, 0.87) | 0.44 (0.2, 0.83) | 0.345 | 0.851 |
| | 25.51 (19.98, 30.78) | 11.94 (6, 20.81) | 20.51 (9.17, 29.06) | 0.035 | 0.014 |
| | 2.98 (1.71, 3.1) | 0.67 (0.24, 1.21) | 1.33 (0.8, 3.54) | 0.037 | 0.005 |
| | 0.39 (0.28, 0.43) | 0.04 (0.02, 0.11) | 0.24 (0.11, 0.72) | 0.006 | <0.001 |
| | 7.29 (4.34, 8.92) | 4.6 (2.58, 10.28) | 2.84 (0.81, 6.04) | 0.625 | 0.008 |
| | 14.26 (12.37, 18.22) | 2.11 (0.95, 5.47) | 1.92 (0.68, 4.28) | 0.002 | 0.427 |
| | 19.31 (14.66, 24.22) | 4.43 (2.11, 11.2) | 4.04 (1.73, 11.88) | 0.002 | 0.751 |
| | 8.82 (7.25, 12.22) | 5.39 (2.33, 14.38) | 4.67 (2.47, 10.36) | 0.642 | 0.664 |
| | 3.69 (3.04, 8.49) | 2.49 (1.89, 4.5) | 8.93 (4.04, 18.29) | 0.002 | <0.001 |
| | 0.3 (0.21, 0.57) | 0.16 (0.08, 0.31) | 0.61 (0.4, 1.32) | 0.002 | <0.001 |
| | 0.06 (0.04, 0.08) | 0.01 (0, 0.02) | 0.1 (0.06, 0.2) | <0.001 | <0.001 |
| | 3.87 (2.27, 5.71) | 2.29 (1.23, 4.21) | 3.89 (2.01, 6.62) | 0.047 | <0.001 |
| | 0.25 (0.17, 0.34) | 0.11 (0.05, 0.22) | 0.28 (0.18, 0.52) | 0.002 | <0.001 |
| | 0.04 (0.03, 0.06) | 0.01 (0, 0.02) | 0.04 (0.02, 0.08) | <0.001 | <0.001 |
SLE systemic lupus erythematosus, HC healthy controls. Data are median (IQR)s
Fig. 2The correlations between CD4 T cell subsets and clinical characters in SLE. SLEDAI, SLE Disease Activity Index. ESR, erythrocyte sedimentation rate. C3, complement 3. C4, complement 4. IFN-α, interferon-α. IL-2, Interleukin-2. IL-21, interleukin-21. IL-7, interleukin-7. IFN-γ, interferon-γ. IL-17, interleukin-17. IL-10, interleukin-10. TGF-β, tumor necrosis factor-β. The scale color of the filled squares indicates the strength of the correlation (r) and whether it is negative (blue) or positive (red). **, P<0.01. *, P<0.05. ▲, P<0.1. #, absolute number, cells/μl. %, proportion of cells in lymphocyte
Fig. 3The correlations between CD4 T cell subsets and B cells and immunoglobulins in SLE. B, B cell. Plasma B, plasma B cell. Switched B, switched memory B cells. IgA, immunoglobulin A. IgG, immunoglobulin G. IgM, immunoglobulin M. AnuA, anti-nucleosome antibodies. dsDNA, anti-double stranded DNA antibodies. The scale color of the filled squares indicates the strength of the correlation (r) and whether it is negative (blue) or positive (red). *, P<0.05. **, P<0.01. ▲, P<0.1. #, absolute number, cells/μl. %, proportion of cells in lymphocyte
Fig. 4The response of clinical and immune cells to low-dose IL-2 (n=30) and placebo (n=30) therapy in SLE. A Relative change of disease activity value and patient number. B Relative change of ratios at baseline and week 12. C Relative change of Treg subsets at baseline and week 12. D Relative change of Tfh subsets at baseline and week 12. BILAG, British Isles Lupus Assessment Group. SLEDAI, Safety of Estrogens in Lupus Erythematosus National Assessment version of the SLE Disease Activity Index. SRI-4, SLE Responder Index-4. PGA, physician’s global assessment. All data here were normalized to baseline values to show relative changes. In detail, all baseline data and data after therapy were divided by the value of baseline. #, absolute number, cells/μl. %, proportion of cells in lymphocyte