| Literature DB >> 35911824 |
Braden Olsen1, Jessica Bodea2, Angela Garcia1, Kristen Beebe3,4, Courtney Campbell3, Carly Schwalbach3, Dana Salzberg3, Holly Miller3, Roberta Adams3,4, Lucia Mirea3, Paul Castillo5, Biljana Horn5, Sandhya Bansal6, Thalachallour Mohanakumar6, Alexander Ngwube1,3,4.
Abstract
Vitamin D deficiency is prevalent in pediatric patients presenting for hematopoietic stem cell transplantation (HSCT) and has been linked to poor clinical outcomes. Using the data from a randomized control trial, in this paper we explore the effects of vitamin D supplementation on circulating cytokine levels during pediatric HSCT (www.clinicaltrials.gov as NCT03176849). A total of 41 children, 20 received Stoss therapy and 21 children received standard of care vitamin D supplementation. Levels of 25(OH)D and 20 cytokines were assessed at baseline and day +30. Significantly (P < 0.05) higher levels of mostly proinflammatory cytokines, FGF, GCSF, TNFα, IL-2, IL-6, IP10 were detected pre-transplant for patients with low compared to those with normal vitamin D levels. In sex stratified models that compare changes in cytokines between Stoss vs. standard of care, females in the Stoss group show greater changes in mostly pro -inflammatory cytokines- IP-10 (P = 0.0047), MIG (P = 0.009), and RANTES (P = 0.0047), IL-2R (P = 0.07) and IL-6(P = 0.069). Despite a small sample size, these findings suggest vitamin D deficiency affects the pre-transplant cytokine milieu and higher doses of vitamin D (Stoss therapy) appears to influence proinflammatory cytokine responses in a sex specific manner during pediatric HSCT. Larger clinical trials are warranted to validate these results.Entities:
Keywords: cytokine-immunological terms; hematopoietic cell transplantation; pediatric; transplant complications; vitamin D
Year: 2022 PMID: 35911824 PMCID: PMC9326107 DOI: 10.3389/fped.2022.913586
Source DB: PubMed Journal: Front Pediatr ISSN: 2296-2360 Impact factor: 3.569
Demographic and characteristics of HSCT patients according to Vitamin D levels at baseline.
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| Mean (SD) | 12 (5.1) | 12 (4.9) | 9.8 (5.4) | 0.20 |
| Median (IQR) | 14 (7, 16) | 14 (9, 16) | 10 (4.8, 14) | |
| Female | 20 (49) | 16 (55) | 4 (33) | 0.11 |
| Male | 21 (51) | 13 (45) | 8 (67) | |
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| Mean (SD) | 47 (25) | 51 (26) | 35 (19) | 0.05 |
| Median (IQR) | 46 (29, 62) | 55 (31, 68) | 34 (17, 49) | |
| Malignant | 23 (56) | 16 (55) | 7 (58) | 1.0 |
| Non-malignant | 18 (44) | 13 (45) | 5 (42) | |
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| Mean (SD) | 25 (12) | 19 (6.3) | 40 (9) | – |
| Median (IQR) | 24 (17, 31) | 18 (13, 25) | 39 (32, 44) | |
Figure 1Negative correlation between serum vitamin D levels and inflammatory cytokine profiles. (A) Serum vitamin D levels and serum levels of EGF (r = −0.3721, P = 0.0166). (B) Serum vitamin D levels and serum FGF-basic (r = −0.5849, P < 0.01). (C) Serum vitamin D levels and serum GCSF (r = −0.3865, P = 0.0125). (D) Serum vitamin D levels and serum levels of GMCSF (r = −0.4589, P < 0.01). (E) Serum vitamin D levels and serum IL-1RA (r = −0.4202, P < 0.01). (F) Serum vitamin D levels and serum IL-2 (r = −0.4918, P < 0.01). (G) Serum vitamin D levels and serum levels of IL-4 (r = −0.48, P < 0.01). (H) Serum vitamin D levels and serum TNF-α (r = −0.4179, P < 0.01).
Association of cytokines and vitamin D levels at baseline.
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| EGF | 3.76 (2.43) | 4.26 (2.44) | 2.57 (2.04) |
| −1.70 (−3.23, −0.16) |
| FGF | 3.31 (0.17) | 3.36 (0.14) | 3.21 (0.19) |
| −0.15 (−0.28, −0.02) |
| GCSF | 3.60 (1.76) | 3.88 (1.86) | 2.93 (1.33) | 0.07 | −0.96 (−2.02, 0.10) |
| HGF | 10.5 (60) | 0 (0) | 36.0 (92) |
| 36.0 (−22.4, 94.4) |
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| TNFα | 0.32 (0.06) | 0.34 (0.07) | 0.30 (0.03) | 0.06 | −0.04 (−0.07, −0.01) |
| IL1A | 0.13 (0.36) | 0.15 (0.42) | 0.06 (0.12) | 0.36 | −0.09 (−0.27, 0.08) |
| IL1β | 3.18 (2.68) | 3.24 (2.71) | 3.03 (2.72) | 0.48 | −0.21 (−2.14, 1.74) |
| IL1RA | 1.60 (2.06) | 1.92 (2.32) | 0.84 (0.87) | 0.07 | −1.07 (−2.08, −0.06) |
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| IL12 | 4.14 (5.05) | 3.95 (4.81) | 4.57 (5.80) | 0.98 | 0.62 (−3.38, 4.61) |
| IL2 | 0.06 (0.08) | 0.08 (0.09) | 0.02 (0.04) |
| −0.06 (−0.10, −0.02) |
| IL2R | 6.41 (34) | 8.74 (41) | 0.78 (2.32) | 0.33 | −7.96 (−23.6, 7.63) |
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| IL3 | 0.53 (0.31) | 0.52 (0.26) | 0.54 (0.43) | 0.82 | 0.02 (−0.26, 0.31) |
| IL4 | 0.28 (0.17) | 0.31 (0.19) | 0.19 (0.07) |
| −0.12 (-0.21, −0.04) |
| IL6 | 0.34 (0.88) | 0.41 (0.98) | 0.17 (0.56) |
| −0.24 (−0.74, 0.25) |
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| IL8 | 3.55 (9.06) | 3.63 (9.01) | 3.35 (9.58) | 0.66 | −0.28 (−7.04, 6.47) |
| IP10 | 3.72 (4.10) | 4.47 (4.45) | 1.89 (2.36) | 0.07 | −2.58 (−4.75, −0.41) |
| MCP1 | 102 (303) | 126 (357) | 43.6 (66) | 0.60 | −82.8 (−223, 58) |
| MIG | 9.08 (48) | 12.6 (56) | 0.58 (0.98) | 0.31 | −12.0 (−33.4, 9.41) |
| MIP1β | 3.94 (5.46) | 3.94 (5.77) | 3.95 (4.87) | 0.37 | −0.01 (−3.64, 3.65) |
| RANTES | 137 (37) | 131 (40) | 151 (26) | 0.10 | 20.1 (−1.24, 41.52) |
| EOTAXIN | 6.79 (3.99) | 7.58 (4.25) | 5.14 (2.76) | 0.12 | −2.34 (−4.63, −0.05) |
Bold values indicate the SD: standard deviation.
Selected cytokine with significant changes by intervention when stratified by sex.
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| IP10 | 1.1 (6.2) | −2.7 (7.4) | 3.3 (4.4) |
| 3.1 (5.8) | 4.6 (6.2) | 1.1 (5.0) | 0.283 |
| MIG | −17.1 (68.7) | −7.1 (9.6) | −22.9 (87.0) |
| 3.6 (8.8) | 5.5 (11.1) | 1.0 (3.4) | 0.099 |
| Rantes | 13.8 (54.7) | −13.3 (23.2) | 29.6 (62.2) |
| −10.6 (54.5) | −23.9 (68.5) | 7.8 (16.5) | 0.173 |
| IL-2R | 31.5 (136.7) | 0.0 (2.5) | 49.9 (172.0) | 0.071 | 8.3 (15.4) | 13.9 (17.8) | 0.6 (6.4) | 0.06 |
| IL-6 | 1.0 (5.2) | −0.5 (1.4) | 1.8 (6.5) | 0.069 | 16.2 (69.9) | 27.8 (91.9) | 0.3 (0.6) | 0.8 |
Bold values indicate the SD: standard deviation.