Submitted:
02 September 2025
Posted:
03 September 2025
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Test Subjects
2.2. Ethical Approval
2.3. Sample Processing
2.4. Immunophenotyping
2.5. Flow Cytometric Analysis
2.6. Statistical Analysis
3. Results
3.1. Clinical Data
3.2. Immunological Parameters in Peripheral Blood
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
References
- Magee, L.A.; Brown, M.A.; Hall, D.R.; Gupte, S.; Hennessy, A.; Karumanchi, S.A.; et al. The 2021 International Society for the Study of Hypertension in Pregnancy classification, diagnosis & management recommendations for international practice. Pregnancy Hypertens. 2022, 27, 148–169. [Google Scholar] [CrossRef]
- Sibai, B.; Dekker, G.; Kupferminc, M. Pre-eclampsia. Lancet 2005, 365, 785–799. [Google Scholar] [CrossRef]
- Xiong, X.; Demianczuk, N.N.; Saunders, L.D.; Wang, F.L.; Fraser, W.D. Impact of preeclampsia and gestational hypertension on birth weight by gestational age. Am. J. Epidemiol. 2002, 155, 203–209. [Google Scholar] [CrossRef]
- Staff, A.C. The two-stage placental model of preeclampsia: An update. J. Reprod. Immunol. 2019, 134–135, 1–10. [Google Scholar] [CrossRef] [PubMed]
- Bakrania, B.A.; George, E.M.; Granger, J.P. Animal models of preeclampsia: investigating pathophysiology and therapeutic targets. Am. J. Obstet. Gynecol. 2022, 226, S973–S987. [Google Scholar] [CrossRef] [PubMed]
- Collier, A.Y.; Smith, L.A.; Karumanchi, S.A. Review of the immune mechanisms of preeclampsia and the potential of immune modulating therapy. Hum. Immunol. 2021, 82, 362–370. [Google Scholar] [CrossRef]
- LaMarca, B.; Cornelius, D.C.; Harmon, A.C.; Amaral, L.M.; Cunningham, M.W.; Faulkner, J.L.; Wallace, K. Identifying immune mechanisms mediating the hypertension during preeclampsia. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2016, 311, R1–R9. [Google Scholar] [CrossRef]
- Salvany-Celades, M.; van der Zwan, A.; Benner, M.; Setrajcic-Dragos, V.; Bougleux Gomes, H.A.; Iyer, V.; Norwitz, E.R.; Strominger, J.L.; Tilburgs, T. Three Types of Functional Regulatory T Cells Control T Cell Responses at the Human Maternal-Fetal Interface. Cell Rep. 2019, 27, 2537–2547e5. [Google Scholar] [CrossRef]
- Hayashi, M.; Hamada, Y.; Ohkura, T. Elevation of granulocyte-macrophage colony-stimulating factor in the placenta and blood in preeclampsia. Am. J. Obstet. Gynecol. 2004, 190, 456–461. [Google Scholar] [CrossRef]
- Huang, S.J.; Zenclussen, A.C.; Chen, C.P.; Basar, M.; Yang, H.; Arcuri, F.; Li, M.; Kocamaz, E.; Buchwalder, L.; Rahman, M.; Kayisli, U.; Schatz, F.; Toti, P.; Lockwood, C.J. The implication of aberrant GM-CSF expression in decidual cells in the pathogenesis of preeclampsia. Am. J. Pathol. 2010, 177, 2472–2482. [Google Scholar] [CrossRef]
- Kurmanova, A.; Nurmakova, A.; Salimbayeva, D.; Urazbayeva, G.; Kurmanova, G.; Kravtsova, N.; Kypshakbayeva, Z.; Khalmirzaeva, M. Systemic and Local Immunological Markers in Preeclampsia. Diagnostics 2025, 15. [Google Scholar] [CrossRef] [PubMed]
- Tian, Y.; Peng, X.; Yang, X. Decreased PD-L1 contributes to preeclampsia by suppressing GM-CSF via the JAK2/STAT5 signal pathway. Sci. Rep. 2025, 15. [Google Scholar] [CrossRef]
- Liao, S.; Vickers, M.H.; Taylor, R.S.; et al. Maternal serum IGF-1, IGFBP-1 and 3, and placental growth hormone at 20weeks' gestation in pregnancies complicated by preeclampsia. Pregnancy Hypertens. 2017, 10, 149–154. [Google Scholar] [CrossRef] [PubMed]
- Lai, W.; Yu, L. Insulin-like growth factor 1 ameliorates pre-eclampsia by inhibiting zinc finger E-box binding homeobox 1 by up-regulation of microRNA-183. J Cell Mol Med. 2023, 27(9), 1179–1191. [Google Scholar] [CrossRef] [PubMed]
- Shafiul Hossen, M.; Abdul Aziz, M.; Abdul Barek, M.; Safiqul Islam, M. Investigation of the linkage between TNF-α rs1800629 polymorphism and preeclampsia risk: A meta-analysis. Cytokine 2024, 175, 156499. [Google Scholar] [CrossRef]
- Adomi, M.; McElrath, T.F.; Hernández-Díaz, S.; Vine, S.M.; Huybrechts, K.F. TNF-α inhibitor use during pregnancy and the risk of preeclampsia: population-based cohort study. J. Hypertens. 2024, 42, 1529–1537. [Google Scholar] [CrossRef]
- Harmon, A.; Cornelius, D.; Amaral, L.; Paige, A.; Herse, F.; Ibrahim, T.; Wallukat, G.; Faulkner, J.; Moseley, J.; Dechend, R.; LaMarca, B. IL-10 supplementation increases Tregs and decreases hypertension in the RUPP rat model of preeclampsia. Hypertens. Pregnancy 2015, 34, 291–306. [Google Scholar] [CrossRef]
- Cubro, H.; Kashyap, S.; Nath, M.C.; Ackerman, A.W.; Garovic, V.D. The Role of Interleukin-10 in the Pathophysiology of Preeclampsia. Curr. Hypertens. Rep. 2018, 20. [Google Scholar] [CrossRef]
- Nath, M.C.; Cubro, H.; McCormick, D.J.; Milic, N.M.; Garovic, V.D. Preeclamptic Women Have Decreased Circulating IL-10 Values at the Time of Preeclampsia Diagnosis: Systematic Review and Meta-Analysis. Hypertension 2020, 76, 1817–1827. [Google Scholar] [CrossRef]
- Jancsura, M.K.; Schmella, M.J.; Helsabeck, N.; Gillespie, S.L.; Roberts, J.M.; Conley, Y.P.; Hubel, C.A. Inflammatory markers are elevated in early pregnancy, but not late pregnancy, in women with overweight and obesity that later develop preeclampsia. Am. J. Reprod. Immunol. 2023, 90. [Google Scholar] [CrossRef]
- Jancsura, M.K.; Helsabeck, N.P.; Anderson, C.M.; Conley, Y.P.; Hubel, C.A.; Roberts, J.M. Identifying the timing and type of inflammatory markers for potential prediction of preeclampsia in women with obesity. Hypertens. Pregnancy 2025, 44, 2492084. [Google Scholar] [CrossRef]
- Man, A.W.C.; Steetskamp, J.; van der Ven, J.; Reifenberg, G.; Hasenburg, A.; Daiber, A.; Xia, N.; Li, H. L-Citrulline Improves IGF-1 Signaling Pathway in Preeclampsia via Polyamines. Hypertension. 2025, 82(8), 1303–1315. [Google Scholar] [CrossRef]
| Cellular markers | Fluorochrome | Clone |
| CD4 | FITC | RPA-T4 |
| CD8 | FITC | RPA-T8 |
| CD14 | FITC | M5E2 |
| CD56 | FITC | B159 |
| CD19 | FITC | HIB19 |
| Cellular markers | Fluorochrome | Clone |
| TNF | PerCP-Cy5.5 | Mab11 |
| IL-10 | PE | JES3-19F1 |
| GM-CSF | PE | BVD2-21C11 |
| VEGFR-2 (CD309) | PE | 89106 |
| IGF (CD221) | PE | 1H7 |
| Indicators | PE (n=7) | 95% CI | Control (n=28) | 95% CI | P value | |
| Age | 32.7±3.95 | (26;37) | 32.5±6.48 | (21;45) | 0.923 | |
| Weight | 82.1±9.37 | (66;92) | 80.9±15.3 | (61;132) | 0.843 | |
| Height | 166±1.5 | (163;167) | 164±5.65 | (153;175) | 0.332 | |
| Blood pressure | ||||||
| systolic | 139±11 | (130;160) | 102±9.57 | (80;120) | <0.001 | |
| diastolic | 84.3±7.87 | (70; 90) | 67.5±12.4 | (60;120) | 0.002 | |
| Gestational age at diagnosis | 36.2±2.14 | (34.1±40.1) | - | - | ||
| Gestation period | 38±1.48 | (36.6;41.0) | 39.4±1.26 | (37.4;41.3) | 0.018 | |
| Child's weight in g | 3041±643 | (2170;3900) | 3618±401 | (2680;4270) | 0.006 | |
| Double phenotyping markers | PE (n=7) | Control (n=28) | p-value |
| CD8+GM-CSF+ | 28.5±3.71 | 7.4±1.59 | <0.001 |
| CD56+TNF+ | 2.3±1.15 | 15.7±1.83 | <0.001 |
| CD56+VEGF2+ | 14.2±3.47 | 0.62±0.55 | <0.001 |
| CD14+IL-10+ | 55.7±15.7 | 0.89±0.61 | <0.001 |
| CD19+IGF+ | 12.0±3.99 | 1.10±0.46 | <0.001 |
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