Association of maternal leukocyte, monocyte, and neutrophil counts with hypertensive disorders of pregnancy: the Japan Environment and Children's Study (JECS).


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
27 Mar 2024
Historique:
received: 22 09 2023
accepted: 26 02 2024
medline: 28 3 2024
pubmed: 28 3 2024
entrez: 28 3 2024
Statut: epublish

Résumé

Hypertensive disorders of pregnancy (HDP) increase the risk of preterm births and cesarean delivery. This study aimed to investigate whether maternal blood leukocyte, monocyte, or neutrophil counts in the first trimester are related to the development of HDP. Data were collected from the Japan Environment and Children's Study, a large birth cohort study (n = 38,194) that recruited pregnant women in 15 Regional Centers across Japan (from January 2011 to March 2014). The odds ratios (ORs) for mild/severe HDP according to the cut-off value of leukocyte/neutrophil/monocyte counts by the receiver operating characteristic curve showed high ORs. Furthermore, pregnant women with the highest quartiles of leukocyte and monocyte counts had higher adjusted ORs (aORs) for mild (leukocyte: aOR = 1.27, 95% confidence interval [CI]: 1.02-1.58; monocyte: aOR = 1.30, 95% CI 1.04-1.63) and severe HDP (leukocyte: aOR = 1.51, 95% CI 1.08-2.13; monocyte: aOR = 1.44, 95% CI 1.03-2.01) compared with those with the lowest quartiles of those counts. In addition, pregnant women with the highest neutrophil counts had higher aOR for mild HDP (aOR = 1.26, 95% CI 1.02-1.56) compared with those with the lowest count. In conclusion, high leukocyte and monocyte counts in the first trimester are associated with the development of HDP. Thus, they may be used to predict subsequent HDP.

Identifiants

pubmed: 38538585
doi: 10.1038/s41598-024-55623-3
pii: 10.1038/s41598-024-55623-3
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7248

Investigateurs

Michihiro Kamijima (M)
Shin Yamazaki (S)
Yukihiro Ohya (Y)
Reiko Kishi (R)
Nobuo Yaegashi (N)
Koichi Hashimoto (K)
Chisato Mori (C)
Shuichi Ito (S)
Zentaro Yamagata (Z)
Hidekuni Inadera (H)
Takeo Nakayama (T)
Tomotaka Sobue (T)
Masayuki Shima (M)
Seiji Kageyama (S)
Narufumi Suganuma (N)
Shoichi Ohga (S)
Takahiko Katoh (T)

Informations de copyright

© 2024. The Author(s).

Références

Goldenberg, R. L., Culhane, J. F., Iams, J. D. & Romero, R. Epidemiology and causes of preterm birth. Lancet 371, 75–84 (2008).
doi: 10.1016/S0140-6736(08)60074-4 pubmed: 18177778 pmcid: 7134569
Harrison, M. S. et al. Cesarean birth in the Global Network for Women’s and Children’s Health Research: Trends in utilization, risk factors, and subgroups with high cesarean birth rates. Reprod. Health 17(3), 165 (2020).
doi: 10.1186/s12978-020-01021-7 pubmed: 33334352 pmcid: 7745346
Ohkuchi, A. et al. Expert consensus: Indication criteria and screening strategy for preeclampsia using the serum sFlt-1/PlGF ratio at 18–36 weeks of gestation in women at imminent/basal risk of preeclampsia under insurance coverage. Hypertens. Res. Pregnancy 8, 51–56 (2020).
doi: 10.14390/jsshp.HRP2020-009
Wang, A., Rana, S. & Karumanchi, S. A. Preeclampsia: The role of angiogenic factors in its pathogenesis. Physiology (Bethesda) 24, 147–158 (2009).
pubmed: 19509125
Mtali, Y. S., Lyimo, M. A., Luzzatto, L. & Massawe, S. N. Hypertensive disorders of pregnancy are associated with an inflammatory state: Evidence from hematological findings and cytokine levels. BMC Pregnancy Childbirth 19, 237 (2019).
doi: 10.1186/s12884-019-2383-7 pubmed: 31288789 pmcid: 6617701
Hedderson, M. M., Darbinian, J. A., Sridhar, S. B. & Quesenberry, C. P. Prepregnancy cardiometabolic and inflammatory risk factors and subsequent risk of hypertensive disorders of pregnancy. Am. J. Obstet. Gynecol. 207(68), e1-68.e9 (2012).
Tatsukawa, Y. et al. White blood cell count, especially neutrophil count, as a predictor of hypertension in a Japanese population. Hypertens. Res. 31, 1391–1397 (2008).
doi: 10.1291/hypres.31.1391 pubmed: 18957810
Tzur, T., Weintraub, A. Y., Sergienko, R. & Sheiner, E. Can leukocyte count during the first trimester of pregnancy predict later gestational complications?. Arch. Gynecol. Obstet. 287, 421–427 (2013).
doi: 10.1007/s00404-012-2603-0 pubmed: 23080549
An, Z. et al. Neutrophil extracellular traps induced by IL-8 aggravate atherosclerosis via activation NF-κB signaling in macrophages. Cell Cycle 18, 2928–2938 (2019).
doi: 10.1080/15384101.2019.1662678 pubmed: 31496351 pmcid: 6791689
Roy-Chowdhury, E. et al. Human CD16+ monocytes promote a pro-atherosclerotic endothelial cell phenotype via CX3CR1-CX3CL1 interaction. Cardiovasc. Res. 117, 1510–1522 (2021).
doi: 10.1093/cvr/cvaa234 pubmed: 32717023
Sacks, G. P., Studena, K., Sargent, K. & Redman, C. W. Normal pregnancy and preeclampsia both produce inflammatory changes in peripheral blood leukocytes akin to those of sepsis. Am. J. Obstet. Gynecol. 179, 80–86 (1998).
doi: 10.1016/S0002-9378(98)70254-6 pubmed: 9704769
Gandley, R. E. et al. Increased myeloperoxidase in the placenta and circulation of women with preeclampsia. Hypertension 52, 387–393 (2008).
doi: 10.1161/HYPERTENSIONAHA.107.107532 pubmed: 18591459
Bian, X. et al. Short-term prediction of adverse outcomes using the sFlt-1 (soluble fms-like tyrosine kinase 1)/PlGF (placental growth factor) ratio in Asian women with suspected preeclampsia. Hypertension 74, 164–172 (2019).
doi: 10.1161/HYPERTENSIONAHA.119.12760 pubmed: 31188674
Ananth, C. V. & Basso, O. Impact of pregnancy-induced hypertension on stillbirth and neonatal mortality. Epidemiology 21, 118–123 (2010).
doi: 10.1097/EDE.0b013e3181c297af pubmed: 20010214 pmcid: 2841017
Alves, E., Azevedo, A., Rodrigues, T., Santos, A. C. & Barros, H. Impact of risk factors on hypertensive disorders in pregnancy, in primiparae and multiparae. Ann. Hum. Biol. 40, 377–384 (2013).
doi: 10.3109/03014460.2013.793390 pubmed: 23682598
Sakai, M., Tsuda, H., Tanebe, K., Sasaki, Y. & Saito, S. Interleukin-12 secretion by peripheral blood mononuclear cells is decreased in normal pregnant subjects and increased in preeclamptic patients. Am. J. Reprod. Immunol. 47, 91–97 (2002).
doi: 10.1034/j.1600-0897.2002.1o020.x pubmed: 11900593
Lisonkova, S. et al. Maternal morbidity associated with early-onset and late-onset preeclampsia. Obstet. Gynecol. 124, 771–781 (2014).
doi: 10.1097/AOG.0000000000000472 pubmed: 25198279
von Dadelszen, P., Magee, L. A. & Roberts, J. M. Subclassification of preeclampsia. Hypertens. Pregnancy 22, 143–148 (2003).
doi: 10.1081/PRG-120021060
Kyozuka, H. et al. Preconception dietary inflammatory index and hypertension disorders of pregnancy: The Japan environment and children’s study. Pregnancy Hypertens. 28, 114–120 (2022).
doi: 10.1016/j.preghy.2022.03.003 pubmed: 35339016
Organisation for Economic Cooperation and Development (OECD). OECD family database - 1. The structure of families (SF) (Fertility indicators), SF2.3 – Age of mothers at childbirth and age-specific fertility. https://www.oecd.org/els/soc/SF_2_3_Age_mothers_childbirth.pdf (2023).
Kawamoto, T. et al. Rationale and study design of the Japan environment and children’s study (JECS). BMC Public Health 14, 25 (2014).
doi: 10.1186/1471-2458-14-25 pubmed: 24410977 pmcid: 3893509
Michikawa, T. et al. Baseline profile of participants in the Japan Environment and Children’s Study (JECS). J. Epidemiol. 28, 99–104 (2018).
doi: 10.2188/jea.JE20170018 pubmed: 29093304 pmcid: 5792233
Tagami, K. et al. Maternal birth weight as an indicator of early-onset and late-onset hypertensive disorders of pregnancy: The Japan Environment and Children’s study. Pregnancy Hypertens. 34, 159–168 (2023).
doi: 10.1016/j.preghy.2023.11.002 pubmed: 37992490
Watanabe, K. et al. Outline of the new definition and classification of “hypertensive disorders of pregnancy (HDP)”; a revised JSSHP statement of 2005. Hypertens. Res. Pregnancy 6, 33–37 (2018).
doi: 10.14390/jsshp.HRP2018-014
Nakayama, S. F. et al. Blood mercury, lead, cadmium, manganese and selenium levels in pregnant women and their determinants: The Japan Environment and Children’s Study (JECS). J. Expo. Sci. Environ. Epidemiol. 29, 633–647 (2019).
doi: 10.1038/s41370-019-0139-0 pubmed: 31000792 pmcid: 6760604

Auteurs

Shiori Ishiyama (S)

Faculty of Life and Environmental Sciences, University of Yamanashi, 4-4-37, Takeda, Kofu, Yamanashi, 400-8510, Japan.

Kazuki Mochizuki (K)

Faculty of Life and Environmental Sciences, University of Yamanashi, 4-4-37, Takeda, Kofu, Yamanashi, 400-8510, Japan. mochizukik@yamanashi.ac.jp.

Ryoji Shinohara (R)

Center for Birth Cohort Studies, University of Yamanashi, Chuo, Yamanashi, Japan.

Kunio Miyake (K)

Department of Health Sciences, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, 409-3821, Japan.

Megumi Kushima (M)

Center for Birth Cohort Studies, University of Yamanashi, Chuo, Yamanashi, Japan.

Reiji Kojima (R)

Department of Health Sciences, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, 409-3821, Japan.

Sayaka Horiuchi (S)

Center for Birth Cohort Studies, University of Yamanashi, Chuo, Yamanashi, Japan.

Sanae Otawa (S)

Center for Birth Cohort Studies, University of Yamanashi, Chuo, Yamanashi, Japan.

Hideki Yui (H)

Center for Birth Cohort Studies, University of Yamanashi, Chuo, Yamanashi, Japan.

Tadao Ooka (T)

Department of Health Sciences, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, 409-3821, Japan.

Yuka Akiyama (Y)

Department of Health Sciences, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, 409-3821, Japan.

Hiroshi Yokomichi (H)

Department of Health Sciences, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, 409-3821, Japan.

Zentaro Yamagata (Z)

Center for Birth Cohort Studies, University of Yamanashi, Chuo, Yamanashi, Japan. zenymgt@yamanashi.ac.jp.
Department of Health Sciences, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, 409-3821, Japan. zenymgt@yamanashi.ac.jp.

Classifications MeSH