Mathews Journal of Case Reports

2474-3666

Previous Issues Volume 8, Issue 2 - 2023

Evaluation of Plasma Lead Levels in Pregnancy and Outcome Implications, Kinshasa, DR Congo

Tuakashikila YM1, Mata HM1, Kabamba MM1, Mashinda DK2, Mulaji CK1, Elongi JP3, Malumba AM1, Tuakuila JK1,4,*

1Laboratory of Analytical Chemistry and Environmental Toxicology, Faculty of Sciences, University of Kinshasa, Kinshasa, DR Congo

2Schol of Public Health, Faculty of Medicine, University of Kinshasa, Kinshasa, DR Congo

3General Hospital of Kinshasa, DR Congo

4Faculty of Health Sciences, University of Sherbrooke, Quebec, Canada

*Corresponding author: Joel Tuakuila, Analytical Chemistry and Environmental Toxicology Laboratory, Faculty of Sciences, University of Kinshasa, Kinshasa, The Democratic Republic of the Congo, Tel: +243-81-934-7828; E-mail: [email protected].

Received Date: January 18, 2023

Published Date: February 08, 2023

Citation: Tuakuila JK, et al. (2023). Evaluation of Plasma Lead Levels in Pregnancy and Outcome Implications, Kinshasa, DR Congo. Mathews J Case Rep. 8(2):88.

Copyrights: Tuakuila JK, et al. © (2023).

ABSTRACT

The aim of this work was to evaluate plasma Pb levels in pregnancy and their birth outcomes implications. For analysis (n = 396 pregnant women with 56 fetal-maternal clusters), plasma samples were diluted quantitatively with a matrix modifier solution and Pb levels were measured using an atomic absorption spectrophotometer (AA500FG). Compared to women with a normal Body Mass Index, underweight, overweight and obese women group had increased levels of plasma Pb (t-test, p=0.0395). Levels of plasma Pb were also observed in women with a family history of preeclampsia and diabetes mellitus (t-test, p=0.0050 and 0.0312, respectively). At delivery, plasma Pb levels were significantly higher in women as compared to prenatal period [means (±SD), 3.387 µg/L (± 0.965) in 37-42 weeks, 2.060 µg/L (± 0.980) in 20-36 weeks and 1.543 µg/L (± 0.709) in 10-19 weeks, ANOVA, p < 0.0001] and newborns showed higher plasma Pb levels than their mothers [means (±SD), 2.304 µg/L (± 0.644) versus 2.067 µg/L (± 1.067), t-test, p < 0.0001]. Globally, plasma Pb levels show no significant linear negative correlation to all of the birth outcomes (weight, height, ponderal index, Apgar score, gestational age, head circumference).

Keywords: Plasma Lead, Birth Outcomes, Maternal Outcomes, Prenatal Exposure, Kinshasa.

BACKGROUND

Pb is one of the most widespread toxicants in the world, and although its uses have been progressively prohibited by rules and regulations resulting in a dramatic decline of Pb exposure in many countries, it remains a matter of public health concern, especially for pregnant women and children [1,2]. Prenatal exposure to Pb has been shown to be associated with neurological dysfunctions, stillbirths, hypertension, spontaneous abortions, preterm birth, reduced birth weight and birth size [3-8].

It is also well established that blood Pb levels increase during pregnancy, from 24 weeks of gestation until delivery, because of increased gastrointestinal absorption and because of an increase in bone turnover in this period [9,10]; and cord and maternal blood Pb levels had a good relationship [8] confirming that Pb easily crosses the placental barrier [11]. At delivery, Pb levels in maternal blood were strong predictors of cord blood levels [8].

In DRC, blood Pb levels measured after phasing out of leaded gasoline continue to constitute a major public health concern for pregnant women and children in Kinshasa [12-16], increased urinary excretion of toxic metals, especially Pb, was observed in preeclampsia [17]. In line with these results, exposure levels to metals including Pb are connected to negative effects such as, preeclampsia, birth defects, children’s temperament difficulties, and holoprosencephaly [18].

Although plasma Pb represents a more relevant index of exposure to, distribution of, and health risks associated with Pb than does blood Pb [19-22], most research on associations between maternal Pb levels and adverse birth outcomes have been reported for whole blood levels of Pb. In this work, the plasma Pb levels in pregnancy and their birth outcomes was evaluated. A conclusion will be given by providing recommendations to create a local Pb screening committee during pregnancy and lactating as suggested by committee opinion of the American College of Obstetricians and Gynecologists.

METHODS

Study population and Data collection

Pregnant women were recruited at the maternity hospitals [Kinshasa General Reference Hospital (Gombe), Delvaux Maternity Hospital (Binza), Saint-Christophe Health Center (Binza); Saint-Raymond Health and Maternity Center (Matete), Esengo Maternity Hospital (Kisenso), Lisanga Maternity Hospital (Lemba); Bomoyi Health and Maternity Center (Tshangu)]. Enrolment was implemented between June 2019 and June 2020 during the pregnancy visits. A kohort of 400 eligible women received a detailed explanation of study procedures before consenting to participate [living in Kinshasa ≥ 6 months, amenorrhea period ≥ 10 weeks, not planning to move out of the city before delivery]. Positive responses were obtained from 396 pregnant women, more than 95 % of those approached. The research protocol was approved by the Bio-ethics Committee of the School of Public Health at the University of Kinshasa.

Data collection

During the pregnancy visit women provided venous blood samples in 10 mL metal free tubes containing lithium heparin as described elsewhere [23]. At delivery, both maternal venous blood and umbilical cord blood samples were collected. All blood was immediately centrifuged (10 minutes, 3000 g) and the plasma fraction was transferred into 2.5 mL pre-cleaned glass vials (Supelco®) and stored at -80°C for Pb analysis. The plasma samples were transported to the Analytical Chemistry and Environmental Toxicology laboratory of the University of Kinshasa. Pregnancy and delivery information collected in the questionnaires were clinics, socio-demographics, anthropometrics, current and previous pregnancies, current and previous preeclampsia or diabetes mellitus, smoking during pregnancy, and lifestyle.

Analytical methods

The samples were brought to room temperature and vortexed after thawing. Pb was measured by atomic absorption (AA500FG, PG Instruments, and Wibtoft, LE17 5BH, UK) [24]. Aliquots of 100 µL plasma were diluted (1+10 by volume) with a matrix modifier solution containing 0.5 % Triton X-100 (Sigma-Aldrich, St. Louis, MO, USA), 0.2 % nitric acid (65 % pure, Carl Roth, Karlsruhe, Germany) and 0.1 % ammonium phosphate (0.1 mg/mL PO43-, Sigma-Aldrich). Determinations were calibrated with Pb solutions prepared from Pb standard solution suitable for atomic spectrometry [1000 ppm Pb, 1 mg/mL Pb-Sigma-Aldric]. Because the plasma Pb levels were low, triplicate samples were analyzed, repeated for each sample with a coefficient of variation less than 10 %, and the detection limit (LOD) was 0.5 µg/L. Analytical validity was confirmed using commercial standard serum (Seronorm L1 and L2) at the beginning of the run and the end of each run of 20 samples, as previously described [25-27].

Statistical analysis

Statistical data analysis was completed using Prism Graph Pad 9.41 (Graph Pad Soft-ware, San Diego, CA, USA). The normality of residuals was evaluated using Kolmogorov-Smirnov test for continuous variables. For the descriptive statistics, results are presented as percentage for categorical variables and as means (± standard deviation), percentiles (P25, P50, P75, P95) and minimum-maximum for continuous variables. Differences between groups were analyzed with analysis of variance (ANOVA), t-test, and trend test after log transformation of skewed variables. Differences in proportions were analyzed with chi-square test. A multiple linear regression was used to estimate the association between log-transformed continuous plasma Pb and other continuous or categorial variables. Two-sided p <0.05 was considered statistically significant. Pb levels below the LOD were assigned a value of LOD/2 for statistical calculations [28,29].

RESULTS

Of the 396 women included in this study, 177(45 %) had 30 years of age or more, 306(77 %) had lower or middle school degree, 81(20 %) were unmarried, 186 (47 %) earned less than $100 USD monthly, 212(54 %) were multiparous, 69(17 %) had diabetes mellitus, 142(36 %) had history of preeclampsia and 243(62 %) were underweight, overweight or obese women; 40(10 %) consumed alcohol during pregnancy. None of them smoked during pregnancy (Table 1). Among the 56 births occurred, 11(20%) were pre-term or post-term, 35(63%) were female, 1(2%) was under 7 Apgar score in 5 minutes, 7(12%) were underweight or overweight newborns (Table 1).

Table 1. Sociodemographic characteristics of the study subjects (2019 - 2020, Kinshasa, n = 396).

Table 2 lists the means (±SD), percentiles (P25, P50, P75 and P95) and minimum as well maximum of the continuous variables: maternal parameters including plasma Pb (μg/L), age (years), weight (kg), height (m), amenorrhea period (weeks), BMI (kg/m2), SBP (mm Hg), DBP (mm Hg), and newborn parameters containing foetal plasma Pb, birth weight (g), birth height (cm), ponderal index (g/cm3), gestational age at birth (years), head circumference at birth (cm) and Apgar score. The plasma Pb means (±SD) were respectively 2.067 µg/L (± 1.067) in maternal and 2.304 µg/L (± 0.644) in newborns.

Table 2. Association between maternal-child parameters and plasma Pb levels.

Regarding differences between groups, multiparous women had high levels of plasma Pb as compared to nulliparous (t-test, p =0.0072) (Figure 1). Compared to women with a normal BMI, underweight, overweight and obese women group had increased levels of plasma Pb (t-test, p=0.0395). Levels of plasma Pb were also observed in women with a family history of preeclampsia and diabetes mellitus (t-test, p=0.0050 and 0.0312, respectively). At delivery, plasma Pb levels were significantly higher in women as compared to prenatal period [means (±SD), 3.387 µg/L (± 0.965) in 37-42 weeks, 2.060 µg/L (± 0.980) in 20-36 weeks and 1.543 µg/L (± 0.709) in 10-19 weeks, ANOVA, p < 0.0001] and newborns showed higher plasma Pb levels than their mothers [means (±SD), 2.304 µg/L (± 0.644) versus 2.067 µg/L (± 1.067), t-test, p < 0.0001]. No significant associations were observed between maternal plasma Pb and birth weight (g), birth height (cm), ponderal index (g/cm3), gestational age at birth (weeks), head circumference at birth (cm) or Apgar score (Figure 2).

Figure 1. Comparison between plasma Pb levels and maternal outcomes (t-test or ANOVA). Maternal plasma Mn levels (µg/L) against (a) Diabetes mellitus, Amenorrhea period in weeks, (b) (c) Family history of preeclampsia, (d) Parity and (e) BMI.

Figure 2. Scatter Plot of Maternal plasma Pb levels (µg/L) against birth outcomes. Maternal plasma Pb levels (µg/L) against (a) Birth weight (g), (b) Birth height (cm), (c) Head circumference at birth (cm), (d) Apgar Score and (e) Ponderal Index (g/cm3) and Gestational Age (weeks).

DISCUSSION

Most Pb in whole blood is bound to red blood cells [30,31], and the remaining Pb in the plasma which is bound with proteins such as albumin and globulin [32-34]. For a given whole-blood Pb, the plasmatic fraction [usually below 1 %, with < 0.5 % as median level)] represents the toxicologically active fraction for exchange with target tissues, including the developing fetus and the relevant index of health risks of Pb exposure [21,30,35-38]. Moreover, a strong curvilinear relationship was observed between Pb blood and Pb plasm (r = 0.75-0.97, Spearman’s coefficient) [22,38,39]. On the other hand, more than in Pb blood, some studies observed a stronger correlation between plasma Pb with bone Pb suggesting that bone Pb contributes to the higher fraction of Pb in plasma [22,40,41]. In pregnant women, a high fraction of Pb plasma in whole blood implies more circulating Pb is free to cross the placenta increasing risk of Pb exposition and toxicity in fetus [42,43]. Nevertheless, laborious methods, specialized equipment and ultra-clean techniques are required for measuring Pb plasma accurately [44]. Consequently, the interest in using Pb plasma measures during pregnancy is modest [45].

The overall mean and range values of plasma Pb levels (2.067 µg/L; 0.250 - 4.630 µg/L, n = 396) in this study were higher than those reported in the literature: 0.42 µg/L (range 0.02-1.5) (22); 0.317 µg/L (range 0.060-2.65) [44] and 0.62 µg/L (range 0.55-0.69) [45]. The traditional use of fired clay for the treatment of gastritis by pregnant women, food habits and car battery recycling in certain residences appear to constitute the main sources of exposure in the city of Kinshasa [13,46].

Blood Pb levels have been linked with hypertension [47]. Principal risk factors for preeclampsia (≥ 140 mm Hg systolic pressure and/or ≥ 90 mm Hg diastolic pressure after week 20) include multiple pregnancy, nulliparity, family history of preeclampsia and obesity, as previously reported [48,49]. Moreover, a meta-analysis reported a strong and reliable association between maternal blood Pb levels and preeclampsia [50]. In light of the above results, multiparous women with a family history of preeclampsia, diabetes mellitus and an anormal BMI had significantly higher plasma Pb levels in this study. However, most of these women had a normal systolic blood pressure with the 95th percentile of 113 mmHg for systolic pressure and 90 mmHg for diastolic pressure (Table 3). Consequently, pressure has not been found to correlate with maternal plasma Pb levels (Figure 2) as previously shown [47,51]. Otherwise, no significant difference was observed in plasma Pb levels as compared to certain characteristics such as marital status, family income, education and alcohol use during pregnancy. These results were consistent with certain studies [52,53].

Table 3. Multiple regression analysis model.

In pregnancy, elevated blood Pb levels have been associated with several adverse outcomes, including spontaneous abortion, gestational hypertension, abnormal fetal neurodevelopment, and low birth weight [50,54,55]. This study reported a good relationship between plasma Pb levels and amenorrhea periods (Pearson r = 0.549, p<0.001). High levels were also observed at delivery as compared to other amenorrhea periods (p<0.001) and Pb levels in fetal plasma were higher than those reported in maternal plasma (p<0.001). This is consistent with previous data in the literature reported increasing Pb levels during pregnancy, from 24 weeks of gestation until delivery [17,45,56-60].

Although the evidence of associations between elevated Pb levels and several adverse outcomes reported in whole blood [3,5,6,7,18,40,45,60,61], the findings of this work indicate there was no significant linear negative correlation between maternal plasma Pb and all of these outcomes (birth weight, birth height, Apgar score, head circumference at delivery, ponderal index, gestational age at birth). The Possible reasons for this might be that the relatively small number of birth cohort studied and research on associations between plasma-Pb and adverse outcomes is still sparse in literature [22]. Nevertheless, despite this gap in knowledge, it is clear that the plasma Pb levels measured in this study constitute a major public health concern for pregnant women and newborns [18]. Moreover, CDC updated the blood Pb reference value to 3.5 μg/dL which provides an opportunity for additional progress in addressing longstanding disparities in lead exposure and BLLs in children [62]. Risk assessment of Pb exposure should take place at the earliest contact with pregnant and lactating women as recommended by committee opinion of the American College of Obstetricians and Gynaecologists [49].

A major limitation should be considered in evaluating present results. With regard to study population, data collection and analytical methods, the relatively small number of birth cohort studied. The sample collection methods used here were not robust but by chance, which were practically inevitable under present survey conditions and susceptible to errors associated with sample collection. Analytical problems at the low levels of Pb found in plasma are major reasons that plasm Pb should be measured routinely with much lower detection limits and with better accuracy by ICP-MS without advanced clean room facilities [27,37]. Moreover, potential contamination by analysis of plasma Fe and free hemoglobin was not assessed [30,38,39,44].

CONCLUSIONS AND RECOMMENDATIONS

Although no significant linear negative correlation between maternal plasma Pb and all of these outcomes (birth weight, birth height, Apgar score, head circumference at delivery, ponderal index and gestational age at birth) has been found in this study, possibly due to small number of birth cohort studied and scarce relevant data on associations between plasma-Pb and adverse outcomes, multiparous women with a family history of preeclampsia, diabetes mellitus and an anormal BMI had significantly higher plasma Pb levels in this study. Furthermore, plasma Pb levels reported in Kinshasa constitute a major public health concern for pregnant women and newborns. Risk assessment of Pb exposure should take place at the earliest contact with pregnant and lactating women as recommended by committee opinion of the American College of Obstetricians and Gynecologists.

DECLARATIONS

ETHICAL APPROVAL 

The research protocol was approved by the Bio-ethics Committee of the School of Public Health at the University of Kinshasa. Kinshasa, DR Congo.

COMPETING INTEREST

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

AUTHOR’S CONTRIBUTIONS 

The first draft of this manuscript has been written by the first author Y. M. T. The co-authors H.N. and M.M. prepared Tables 1, 2 and 3, and Figures 1 and 2. The co-authors D.M., C.M., J.P. and A.M. reviewed equally the manuscript. The J.K. contributed to supervise all the work and to correspond with the Journal.

FUNDING 

No funding. No specific funds were received for conducting this study.

AVAILABILITY OF DATA AND MATERIALS 

Not applicable. However, the study results will report to individuals sample donors with proper explanations.

ACKNOWLEDGEMENTS

We are highly indebted to the study participants and to the staff of investigators, as well as all the local health services and health centers of the Kinshasa Public Health System that supported the field work. This work was received no financial support.

REFERENCES

  1. CDC (US Center for Disease Control and Prevention). (2012). Response to Advisory Committee on Childhood Lead Poising Prevention Recommendations in Low Level Lead Exposure Harms Children: A Renewed Call of Primary Prevention. Atlanta, Georgia, June 7.
  2. Forns J, Esnaola M, López-Vicente M, Suades-González E, Alvarez-Pedrerol M, Julvez J, et al. (2014). The n-back Test and the Attentional Network Task as measures of child neuropsychological development in epidemiological studies. Neuropsychology. 28(4):519-529.
  3. Lidsky TL, Schneider JS. (2003). Lead neurotoxicity in children: basic mechanisms and clinical correlates. Brain. 126(Pt 1):5-19.
  4. Canfield RL, Henderson Jr CR, Cory-Slechta DA, Cox C, Jusko T, Lanphear BP. (2003). Intellectual impairment in children with blood lead concentrations below10 lg/dL. New Engl J Med. 348(16):1517-1526.
  5. Jakubowski W, Jankowski J, Flak E, Skaruga A, Mroz E, Sochacka-Tatara E, et al. (2006). Effects of prenatal exposure to mercury on cognitive and psychomotor function in one year-old infants: epidemiologic cohort study in Poland. Ann Epidemiol. 16(6):439-447.
  6. Jedrychowski W, Perera F, Jankowski J, Mrozek-Budzyn D, Mroz E, Flak E, et al. (2009). Gender specific differences in neurodevelopmental effects of prenatal exposure to very low-lead levels: the prospective cohort study in three-year olds. Early Hum Dev. 85(8):503-510.
  7. Amadi CN, Igweze ZN, Orisakwe OE. (2017). Heavy metals in miscarriages and stillbirths in developing nations. Mid East Fert Soc J. 22(2):91-100.
  8. Kabamba M, Tuakuila J. (2020). Toxic metal (Cd, Hg, Mn, Pb) partition in the maternal/foetal unit: a systematic mini-review of recent epidemiological studies. Toxicol Lett. 332:20-26.
  9. O’Flaherty EJ. (1995). Physiologically based models for bone-seeking elements. V: Lead absorption and disposition in childhood. Toxicol Appl Pharmacol. 131(2):297-308.
  10. Hertz-Picciotto I, Schramm M, Watt-Morse M, Chantala K, Anderson J, Osterloh J. (2000). Patterns and Determinants of Blood Lead During Pregnancy. Am J Epidemiol. 152(9):829-837.
  11. Gundacker C, Hengstschläger M. (2012). The role of the placenta in fetal exposure to heavy 399 metals. Wien Med Wochenschr. 162(9-10):201-206.
  12. Tuakuila J, Mbuyi F, Kabamba M, Lantin AC, Lison D, Hoet P. (2010). Blood lead levels in the Kinshasa population: a pilot study. Arch Public Health. 68(1):30-41.
  13. Tuakuila J, Lison D, Mbuyi F, Haufroid V, Hoet P. (2013). Elevated blood lead levels and sources of exposure in the population of Kinshasa, the capital of the Democratic Republic of Congo. J Expo Sci Environ Epidemiol. 23(1):81-87.
  14. Tuakuila J, Kabamba M, Mata H, Mata G. (2013). Blood lead levels in children after phase-out of leaded gasoline in Kinshasa, the capital of Democratic Republic of Congo (DRC). Arch Public Health. 71(1):5.
  15.  Tuakuila J, Kabamba M, Mata H, Mata G. (2014). Toxic and essential elements in children's blood (<6 years) from Kinshasa, DRC (the Democratic Republic of Congo). J Trace Elem Med Biol. 28(1):45-49.
  16. Tuakuila J, Kabamba M, Mata H, Mbuyi F. (2015). Tentative reference values for environmental pollutants in blood or urine from the children of Kinshasa. Chemosphere. 139:326-333.
  17. Elongi Moyene JP, Scheers H, Tandu-Umba B, Haufroid V, Buassa-Bu-Tsumbu B, Verdonck F, et al. (2016). Preeclampsia and toxic metals: a case-control study in Kinshasa, DR Congo. Environ Health. 15:48.
  18. Kabamba MM, Mata HN, Mulaji CK, Mbuyi FB, Elongi JPM, Tuakuila JK. (2021). Human biomonitoring in the Democratic Republic of Congo (DRC): A systematic review. Sc African. 13:e00906.
  19. Goyer RA. (1990). Transplacental transport of lead. Environ Health Perspect. 89:101-105.
  20. Schutz A, Bergdahl IA, Ekholm A, Skerfving S. (1996). Measurement by ICP-MS of lead in plasma and whole blood of lead workers and controls. Occup Environ Med. 53(11):736-740.
  21. Chuang HY, Schwartz J, Gonzales-Cossio T, Lugo MC, Palazuelos E, Aro A, et al. (2001). Interrelations of lead levels in bone, venous blood, and umbilical cord blood with exogenous lead exposure through maternal plasma lead in peripartum women. Environ Health Perspect. 109(5):527-532.
  22. Barbosa F Jr, Gerlach RF, Tanus-Santos JE. (2006). Matrix metalloproteinase-9 activity in plasma correlates with plasma and whole blood lead concentrations. Basic Clin Pharmacol Toxicol. 98(6):559-564.
  23. Rezende VB, Amaral JH, Gerlach RF, Barbosa F Jr, Tanus-Santos JE. (2010). Should we measure serum or plasma lead concentrations? J Trace Elem Med Biol. 24(3):147-151.
  24. Zhang ZW, Shimbo S, Ochi N, Eguchi M, Watanabe T, Moon CS, et al. (1997). Determination of lead and cadmium in food and blood by inductively coupled plasma mass spectrometry: a comparison with graphite furnace atomic absorption spectrometry. Sci Total Environ. 205(2-3):179-187.
  25. Zhou Y, Zanao RA, Barbosa F, Parsons PJ, Krug FJ. (2002). Investigations on a W-Rh permanent modifier for the detection of Pb in blood by electrothermal atomic absorption spectrometry. Spectrochim Acta Part B: Atomic Spectroscopy. 57(8):1291-1300.
  26. Rembach A, Hare DJ, Doecke JD, Burnham SC, Volitakis I, Fowler CJ, et al. (2014). Decreased serum zinc is an effect of ageing and not Alzheimer's disease. Metallomics. 6(7):1216-1219.
  27. Volzhenin AV, Petrova NV, Skiba TV, Saprykin AI. (2018). Two-stage probe atomization GFAAS for direct determination of trace Cd and Pb in whole bovine blood. Microchemical Journal. 141:210-214.
  28. Hornung RW, Reed L. (1990). Estimation of Average Concentration in the Presence of Nondetectable Values. Applied Occupational and Environmental Hygiene. 5(1):46-51.
  29. Cole SR, Chu H, Nie L, Schisterman EF. (2009). Estimating the odds ratio when exposure has a limit of detection. Int J Epidemiol. 38(6):1674-1680.
  30. DeSilva PE. (1981). Determination of lead in plasma and studies on its relationship to lead in erythrocyte. Br J Ind Med. 38:209-217.
  31. Goyer RA. (1990). Transplacental transport of lead. Environ Health Perspect. 89:101-105.
  32. Griffin RM, Matson WR. (1972). The assessment of individual variability to trace metal insult: Low-molecular-weight metal complexing agents as indicators of trace metal insult. Am Ind Hyg Assoc J. 33(6):373-377.
  33. Simons TJB. (1986). Passive transport and binding of lead by human red blood cells. J Physiol (London). 378:267-286.
  34. Fleming DEB, Chettle DR, Weber CE, O’Flaherty EJ. (1999). The O'Flaherty model of lead kinetics: an evaluation using data from a lead smelter population. Toxicol Appl Pharmacol. 161(1):100-109.
  35. Bellinger D, Leviton A, Waternaux C, Needleman H, Rabinowitz M. (1987). Longitudinal analyses of prenatal and postnatal lead exposure and early cognitive development. N Engl J Med. 316(17):1037-1043.
  36. Cavalleri A, Minoia C, Pozzoli L, Baruffini A. (1978). Determination of plasma lead levels in normal subjects and in lead-exposed workers. Br Jf Ind Med. 35(1):21-26.
  37. Schutz A, Bergdahl IA, Ekholm A, Skerfving S. (1996). Measurement by ICP-MS of lead in plasma and whole blood of lead workers and controls. Occup Environ Med. 53(11):736-740.
  38. Smith DR, Hernandez-Avila M, Tellez-Rojo MM, Mercado A, Hu H. (2002). The relationship between lead in plasma and whole blood in women. Environ Health Perspect. 110(3):263-268.
  39. Bergdahl IA, Schutz A, Gerhardsson L, Jensen A, Skerfving S. (1997). Lead concentrations in human plasma, urine and whole blood. Scand J Work Environ Health. 23(5):359-363.
  40. Hernández-Avila M, Smith D, Meneses F, Sanin LH, Hu H. (1998). The influence of bone and blood lead on plasma lead levels in environmentally exposed adults. Environ Health Perspect. 106(8):473-477.
  41. Tellez-Rojo MM, Hernandez-Avila M, Lamadrid-Figueroa H, Smith D, Hernandez-Cadena L, Mercado A, et al. (2004). Impact of bone lead and bone resorption on plasma and whole blood lead levels during pregnancy. Am J Epidemiol. 160(7):668-678.
  42. Gulson BL, Jameson CW, Mahaffey KR, Mizon KJ, Korsch MJ, Vimpani G. (1997). Pregnancy increases mobilization of lead from maternal skeleton. J Lab Clin Med. 130(1):51-62.
  43. Bergdahl IA, Schutz A, Gerhardsson L, Jensen A, Skerfving S. (1997). Lead concentrations in human plasma, urine and whole blood. Scand J Work Environ Health. 23(5):359-363.
  44. Smith DR, Ilustre R, Osterloh J. (1998). Methodological considerations for the accurate determination of lead in human plasma and serum. Am J Ind Health. 33(5):430-438.
  45. Hu H, Tellez-Rojo MM, Bellinger D, Smith D, Ettinger AS, Lamadrid-Figueroa H, et al. (2006). Fetal lead exposure at each stage of pregnancy as a predictor of infant mental development. Environ Health Perspect. 114(11):1730-1735.
  46. Kabamba MM, Mata HN, Binti KF, Elongi JPM, Mulaji CK, Tuakuila JK. (2020). Possible sources of exposure to toxic elements (As, Cd, Pb) in the population of Kinshasa, the capital of The Democratic Republic of Congo (DRC). Congo Sciences. 8(2):1-6.
  47. Vaziri ND. (2008). Mechanisms of lead-induced hypertension and cardiovascular disease. Am J Physiol Heart Circ Physiol. 295(2):H454-H465.
  48. English FA, Kenny LC, McCarthy FP. (2015). Risk factors and effective management of preeclampsia. Integr Blood Press Control. 8:7-12.
  49. Committee on Obstetric Practice. (2012). Committee opinion No. 533: lead screening during pregnancy and lactation. Obstet Gynecol. 120(2 Pt 1):416-420. DOI: 10.1097/AOG.0b013e31826804e8.
  50. Poropat AE, Laidlaw MAS, Lanphear B, Ball A, Mielke HW. (2018). Blood lead and preeclampsia: A meta-analysis and review of implications. Environ Res. 160:12-19.
  51. Vigeh M, Yokoyama K, Mazaheri M, Beheshti S, Ghazizadeh S, Sakai T, et al. (2004). Relationship between increased blood lead and pregnancy hypertension in women without occupational lead exposure in Tehran, Iran. Arch Environ Health. 59(2):70-75.
  52. Ali-Sahb AA, YasKhudhair S, Al-Yasseri BJH. (2016). Association of Maternal Blood Lead Levels with Newborns Birth Weights. Int J Adv Res. 4(11):202-211.
  53. Al-Jawadi A, Al-Mola Z, Al-Jomard R. (2009). Determinants of maternal and umbilical blood lead levels. BMC. 2:47
  54. Rothenberg SJ, Kondrashov V, Manalo M, Jiang J, Cuellar R, Garcia M, et al. (2002). Increases in hypertension and blood pressure during pregnancy with increased bone lead levels. Am J Epidemiol 156(12):1079-1087.
  55. Rabinowitz M, Bellinger D, Leviton A, Needleman H, Schoenbaum S. (1987). Pregnancy hypertension, blood pressure during labor, and blood lead levels. Hypertension. 10(4):447-451.
  56. Lagerkvist B, Soderberg HA, Nordberg G, et al. (1993). Biological monitoring of arsenic, lead and cadmium in occupationally and environmentally exposed pregnant women. Scand J Work Environ Health. 19(supp 11):50-53.
  57. McMichael AJ, Vimpani GV, Robertson EF, et al. (1986). The Port Pirie cohort study: maternal blood lead and pregnancy outcome. J Epidemiol Community Health. 40(1):18-25.
  58. Bellinger DC. (2005). Teratogen update: lead and pregnancy. Birth Defects Res A Clin Mol Teratol. 73(6):409-420.
  59. Shannon M. (2003). Severe lead poisoning in pregnancy. Ambul Pediatr. 3(1):37-39.
  60. Gonzalez-Cossio T, Peterson KE, Sanin LH, Fishbein E, Palazuelos E, Aro A, et al. (1997). Decrease in birth weight in relation to maternal bone-lead burden. Pediatrics. 100(5):856-862.
  61. Lamadrid-Figueroa H, Téllez-Rojo MM, Hernández-Cadena L, Mercado-García A, Smith D, Solano-González M, et al. (2006). Biological markers of fetal lead exposure at each stage of pregnancy. J Toxicol Environ Health A. 69(19):1781-1796.
  62. Ruckart PZ, Jones RL, Courtney JG, LeBlanc TT, Jackson W, Karwowski MP, et al. (2021). Update of the Blood Lead Reference Value-United States, 2021. MMWR Morb Mortal Wkly Rep. 70(43):1509-1512.

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