PMID- 35259596
OWN - NLM
STAT- MEDLINE
DCOM- 20220414
LR  - 20220510
IS  - 1532-3102 (Electronic)
IS  - 0143-4004 (Linking)
VI  - 121
DP  - 2022 Apr
TI  - Placental concentrations of alkali metals and their associations with neural tube 
      defects in offspring.
PG  - 46-52
LID - S0143-4004(22)00065-0 [pii]
LID - 10.1016/j.placenta.2022.02.020 [doi]
AB  - INTRODUCTION: The role of alkali metals in the development of neural tube defects 
      (NTDs) is little known. We examined the associations between placental 
      concentrations of lithium (Li), sodium (Na), potassium (K), rubidium (Rb), and 
      cesium (Cs), and the occurrence of NTDs in fetuses. METHODS: 408 women who had 
      NTD-affected pregnancies and 593 women who delivered healthy infants were 
      included. Logistic regression, weight quantile sum regression (WQSR), and 
      Bayesian kernel machine regression (BKMR) were applied to assess whether these 
      metals are associated with the occurrence of NTDs. RESULTS: Cs showed an inverse 
      association with the odds of NTDs [adjusted odds ratio (aOR): 0.58, 95% 
      confidence interval (CI): 0.36-0.91] in single-metal logistic model. Estimates 
      did not change much in the multiple-metal logistic model. In WQSR, the WQS index 
      was inversely associated with the odds of NTDs (aOR: 0.62, 95%CI: 0.51-0.75), in 
      which Cs (weighted 0.45) had the highest weight. In BKMR, the odds of NTDs 
      decreased with the levels of the five-metal mixtures. Cs was associated with 
      decreased odds of NTDs when the remaining four metals were fixed at their 25(th) 
      and 50(th) percentiles, while Na was associated with increased odds of NTDs when 
      setting other metals at the 25(th), 50(th), or 75(th) percentile. DISCUSSION: A 
      high concentration of Cs and Na in placental tissue was respectively associated 
      with decreased and increased odds of NTDs. In addition, the occurrence of NTDs 
      decreased with the levels of the five-metal mixtures.
CI  - Copyright (c) 2022 Elsevier Ltd. All rights reserved.
FAU - Pi, Xin
AU  - Pi X
AD  - Department of Social Medicine and Health Education, School of Public Health/Key 
      Laboratory of Reproductive Health, National Health Commission of the People's 
      Republic of China, Peking University, Beijing, China.
FAU - Wang, Di
AU  - Wang D
AD  - Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, 
      National Health Commission of the People's Republic of China, Peking University, 
      Beijing, China; Department of Epidemiology and Biostatistics, School of Public 
      Health, Peking University, Beijing, China.
FAU - Wang, Chengrong
AU  - Wang C
AD  - Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, 
      National Health Commission of the People's Republic of China, Peking University, 
      Beijing, China; Department of Epidemiology and Biostatistics, School of Public 
      Health, Peking University, Beijing, China; Beijing Obstetrics and Gynecology 
      Hospital, Capital Medical University, Beijing, China.
FAU - Li, Zhiwen
AU  - Li Z
AD  - Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, 
      National Health Commission of the People's Republic of China, Peking University, 
      Beijing, China; Department of Epidemiology and Biostatistics, School of Public 
      Health, Peking University, Beijing, China.
FAU - Wang, Linlin
AU  - Wang L
AD  - Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, 
      National Health Commission of the People's Republic of China, Peking University, 
      Beijing, China; Department of Epidemiology and Biostatistics, School of Public 
      Health, Peking University, Beijing, China.
FAU - Yue, Wentao
AU  - Yue W
AD  - Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 
      China.
FAU - Yin, Chenghong
AU  - Yin C
AD  - Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 
      China.
FAU - Jin, Lei
AU  - Jin L
AD  - Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, 
      National Health Commission of the People's Republic of China, Peking University, 
      Beijing, China; Department of Epidemiology and Biostatistics, School of Public 
      Health, Peking University, Beijing, China. Electronic address: 
      jinlei@bjmu.edu.cn.
FAU - Ren, Aiguo
AU  - Ren A
AD  - Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, 
      National Health Commission of the People's Republic of China, Peking University, 
      Beijing, China; Department of Epidemiology and Biostatistics, School of Public 
      Health, Peking University, Beijing, China; Beijing Obstetrics and Gynecology 
      Hospital, Capital Medical University, Beijing, China. Electronic address: 
      renag@bjmu.edu.cn.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220302
PL  - Netherlands
TA  - Placenta
JT  - Placenta
JID - 8006349
RN  - 0 (Metals, Alkali)
SB  - IM
MH  - Bayes Theorem
MH  - Case-Control Studies
MH  - Female
MH  - Fetus
MH  - Humans
MH  - Infant
MH  - *Metals, Alkali
MH  - *Neural Tube Defects/chemically induced
MH  - Placenta
MH  - Pregnancy
OTO - NOTNLM
OT  - Alkali metals
OT  - Bayesian kernel machine regression
OT  - Neural tube defects
OT  - Placenta
OT  - Weight quantile sum regression
EDAT- 2022/03/09 06:00
MHDA- 2022/04/15 06:00
CRDT- 2022/03/08 20:11
PHST- 2021/11/03 00:00 [received]
PHST- 2022/02/18 00:00 [revised]
PHST- 2022/02/24 00:00 [accepted]
PHST- 2022/03/09 06:00 [pubmed]
PHST- 2022/04/15 06:00 [medline]
PHST- 2022/03/08 20:11 [entrez]
AID - S0143-4004(22)00065-0 [pii]
AID - 10.1016/j.placenta.2022.02.020 [doi]
PST - ppublish
SO  - Placenta. 2022 Apr;121:46-52. doi: 10.1016/j.placenta.2022.02.020. Epub 2022 Mar 
      2.