Skip to main content
PLOS One logoLink to PLOS One
. 2024 Mar 7;19(3):e0289255. doi: 10.1371/journal.pone.0289255

Influence of nutritional supplements on antibody levels in pregnant women vaccinated with inactivated SARS-CoV-2 vaccines

Xi Zhang 1, Xue Han 1, Baolan Chen 1, Xi Fu 1, Yajie Gong 2,*, Wenhan Yang 3,*, Qingsong Chen 1,*
Editor: Gang Qin4
PMCID: PMC10919710  PMID: 38452000

Abstract

Background

Because of the significantly higher demand for nutrients during pregnancy, pregnant women are more likely to have nutrient deficiencies, which may adversely affect maternal and fetal health. The influence of nutritional supplements on the immune effects of inactivated SARS-CoV-2 vaccines during pregnancy is not clear.

Methods

In a multicenter cross-sectional study, we enrolled 873 pregnant women aged 18–45 y in Guangdong, China. The general demographic characteristics of pregnant women and their use of nutritional supplements were investigated, and the serum antibody levels induced by inactivated SARS-CoV-2 vaccines were measured. A logistic regression model was used to analyze the association between nutritional supplements and SARS-CoV-2 antibody levels.

Results

Of the 873 pregnant women enrolled, 825 (94.5%) took folic acid during pregnancy, 165 (18.9%) took iron supplements, and 197 (22.6%) took DHA. All pregnant women received at least one dose of inactivated SARS-CoV-2 vaccine, and the positive rates of serum SARS-CoV-2 neutralizing antibodies (NAbs) and immunoglobulin G (IgG) antibodies were 44.7% and 46.4%, respectively. After adjustment for confounding factors, whether pregnant women took folic acid, iron supplements, or DHA did not influence NAb positivity or IgG positivity (P > 0.05). Compared with pregnant women who did not take folic acid, the odds ratios (ORs) for the presence of SARS-CoV-2 NAb and IgG antibody in pregnant women who took folic acid were 0.67 (P = 0.255; 95% CI, 0.34–1.32) and 1.24 (P = 0.547; 95% CI, 0.60–2.55), respectively. Compared with pregnant women who did not take iron supplements, the ORs for the presence of NAb and IgG antibody in pregnant women who took iron supplements were 1.16(P = 0.465; 95% CI, 0.77–1.76) and 0.98 (P = 0.931; 95% CI, 0.64–1.49), respectively. Similarly, the ORs for NAb and IgG antibody were 0.71 (P = 0.085; 95% CI, 0.49–1.04) and 0.95 (P = 0.801; 95% CI, 0.65–1.38) in pregnant women who took DHA compared with those who did not.

Conclusions

Nutritional supplementation with folic acid, iron, or DHA during pregnancy was not associated with antibody levels in pregnant women who received inactivated SARS-CoV-2 vaccines.

1 Introduction

Since the outbreak of COVID-19, research and development of vaccines and various antiviral drugs to combat COVID-19 and its complications have increased worldwide [14]. At present, dozens of COVID-19 vaccines have been approved for use around the world. Because pregnant women have not been included in any clinical trials of COVID-19 vaccines [5, 6], data on the efficacy and safety of these vaccines for pregnant women are limited. In addition, pregnant women have a significantly higher risk of COVID-19 infection, severe disease, and death due to changes in their immune response during pregnancy [79]. Therefore, it is necessary to understand the risks faced by pregnant women and the associated protective factors.

Adequate nutrition is essential to ensure the development, operation, and maintenance of the immune system, and nutritional supplements play an important role [1012]. When malnutrition occurs, the immune response is affected, making the body susceptible to infection, which in turn exacerbates malnutrition. Excessive nutrient intake can adversely affect on all components of the immune system. Therefore, a well-balanced diet that includes plenty of nutrient-rich foods and supplements is necessary to prevent infectious diseases and ensure optimal immune function [12, 13]. Some studies have shown that nutrient supplements are particularly important during pregnancy. For example, folic acid is an indispensable nutrient during pregnancy, crucial in preventing neural tube defects [14]. In addition, folic acid supplementation during pregnancy has been found to reduce the risk of preeclampsia and preterm birth [15].

Iron supplements are also necessary during pregnancy. Iron is an essential trace element for the human body. It supports hemoglobin synthesis and is used in the formation of iron-containing enzymes. It also constitutes the body’s iron storage in the form of ferritin [16, 17]. Iron deficiency anemia is one of the most common complications of pregnancy and a risk factor for excessive bleeding during childbirth, premature birth, and low birth weight [18, 19]. Pregnant women with iron deficiency anemia are more susceptible to SARS-CoV-2 infection [20].

DHA is an important component of brain cell membranes and is essential for fetal brain development. DHA supplementation during pregnancy promotes fetal brain development and plays an important role in increasing fetal intelligence and improving vision [21, 22]. The World Health Organization recommends that pregnant women should supplement with at least 300mg of DHA per day. Because of its immunomodulatory effects, DHA supplementation during pregnancy can also improve the immune health of the fetus.

Nutritional status during pregnancy is crucial. Many nutrients have potent immunomodulatory effects that can modify susceptibility to COVID-19 infection. It is worth exploring whether nutritional supplements can increase the immune response to COVID-19 vaccines. Therefore, the purpose of this study was to investigate the effect of dietary supplements on antibody levels in pregnant women vaccinated with inactivated SARS-CoV-2 vaccine. This study can provide a certain reference for the question of the influence of women taking nutrients during pregnancy on the level of antibody produced by COVID-19 vaccines.

2 Materials and methods

2.1 Study design and inclusion criteria

This multicenter study was performed in the obstetric clinics of three hospitals in Guangdong Province, China from December 2021 to July 2022. Inclusion criteria included (1) receiving at least one dose of inactivated vaccine before or during pregnancy, (2) being pregnant and having not been infected with COVID-19, and (3) agreeing to participate and providing informed consent. Pregnant women who were infected with COVID-19 after enrollment and were vaccinated with noninactivated COVID-19 vaccines were excluded. A total of 873 pregnant women met the inclusion criteria (Fig 1). The study was approved by the Medical Ethics Review Board of the School of Public Health, Guangdong Pharmaceutical University (IRB 2021–01), and complied with the Declaration of Helsinki guidelines. All participants signed paper informed consent form and minors were excluded from this study.

Fig 1. Flow chart of study participants.

Fig 1

2.2 Study variable

We developed a survey questionnaire for pregnant women that included questions such as age (stratified by advanced maternal age as defined by the World Health Organization), body mass index(BMI), gravidity and parity, smoking, doses of vaccine taken, adverse events after vaccination, time since vaccination (defined as the time interval between the last dose of vaccine and blood collection), and other general demographic information, vaccination-related information, and information on the types of nutritional supplements used. Vaccination information was collected through the vaccination registration platform. The presence of nutrient supplements was the exposure variable, negative or positive antibody level were outcome variables, and age, BMI, parity, education and income level, smoking, number of exercises per week, doses of vaccination, adverse reactions, and time since vaccination were covariates.

2.3 Sample collection and analysis

After enrollment, 5 mL of venous blood was collected, centrifuged to separate the serum, and stored in a –80°C freezer. Neutralizing antibody (NAb) levels were determined via a cytopathogenic effect assay. Specifically, serum samples were inactivated at 56°C for 30 min, diluted fourfold, and incubated with an equal volume (50 μL) of live SARS-CoV-2 virus suspension at 36.5°C in 5% CO2 for 2 h. Vero cells (1.0–2.0 × 105 cells/mL) were then added to the serum–virus suspension in the microplates and incubated in duplicate at 36.5°C in 5% CO2 for 5 d. Cytopathological effects were observed under the microscope. A NAb titer of <1:8 was considered negative and ≥1:8 was considered positive. SARS-CoV-2 immunoglobulin G (IgG) antibody was detected by chemiluminescence (Bioscience, Chongqing, China). An antibody level of <1.00 signal to cutoff ratio was considered negative, and a level of ≥1.00 was considered positive.

2.4 Statistical analysis

Statistical analysis was performed in IBM SPSS version 25 (SPSS Inc., IBM Corp., Armonk, NY). We analyzed demographic data, vaccination-related information, and antibody-positive rates of pregnant women according to whether they were taking nutritional supplements. Chi-squared and Fisher tests were used to compare proportions, when the sample size n < 40 or the expected frequency T < 1 use Fisher’s test. Mann–Whitney U-test and Kruskal–Wallis test were used for nonnormal data. The logistic regression model was used to analyze the association between nutritional supplements and SARS-CoV-2 antibody positive rate. The adjusted factors were determined through the results of univariate analysis and literature review. Model 1 was adjusted for age, BMI, education, gravidity, parity, adverse events, inoculation durations, doses of vaccination. Model 2 was adjusted for age, BMI, smoking, number of exercises per week, adverse events, inoculation durations, doses of vaccination. Model 3 was adjusted for age, BMI, smoking, number of exercises per week, adverse events, inoculation durations, doses of vaccination. All P-values were two-sided, and differences with P-values <0.05 were considered statistically significant.

3 Results

3.1 Demographics of the study population

Of the 873 pregnant women included in the study, 825 (94.5%) took folic acid, 165 (18.9%) took iron supplements, and 197 (22.6%) took DHA during pregnancy. All pregnant women received at least one dose of inactivated SARS-CoV-2 vaccine, and the positive rates of serum SARS-CoV-2 NAbs and IgG antibodies were 44.7% and 46.4%, respectively. Of the women included in the study 87.9% were <35 years old. Basic demographic characteristics are presented in (Tables 1 and 2).

Table 1. Demographic characteristics of the participants stratified by type of nutrient supplements.

Characteristics Total(N = 873) Folic acid P Iron supplements P DHA P
Take(N = 825) No take (N = 48) Take (N = 165) No take (N = 708) Take (N = 197) No take (N = 676)
Age group, y 0.054 0.270 0.117
 <35 768(87.9) 730(88.5) 38(79.2) 141(85.5) 627(88.6) 167(84.8) 601(88.9)
 ≥35 105(12.1) 95(11.5) 10(20.8) 24(14.5) 81(11.4) 30(15.2) 75(11.1)
BMIA 0.118 0.846 0.832
 <18.5 168(19.2) 160(19.4) 8(16.7) 30(18.2) 138(19.5) 35(17.8) 133(19.7)
 18.5–24 533(61.1) 508(61.6) 25(52.1) 104(63.0) 429(60.6) 122(61.9) 411(60.8)
 24–28 137(15.7) 128(15.5) 9(18.7) 24(14.5) 113(16.0) 31(15.7) 106(15.7)
 ≥28 35(4.0) 29(3.5) 6(12.5) 7(4.2) 28(3.9) 9(4.6) 26(3.8)
Gravidity 0.002* 0.923 0.169
 1 357(40.9) 345(41.8) 12(25.0) 68(41.2) 289(40.8) 85(43.1) 272(40.2)
 2 337(38.6) 320(38.8) 17(35.4) 65(39.4) 272(38.4) 81(41.1) 256(37.9)
 ≥3 179(20.5) 160(19.4) 19(39.6) 32(19.4) 147(20.8) 31(15.7) 148(21.9)
Birth 0.012* 0.870 0.377
 0 423(48.5) 405(49.1) 18(37.5) 77(46.7) 346(48.9) 94(47.7) 329(48.7)
 1 335(38.4) 318(38.5) 17(35.4) 66(40.0) 269(38.0) 82(41.6) 253(37.4)
 ≥2 115(13.1) 102(12.4) 13(27.1) 22(13.3) 93(13.1) 21(10.7) 94(13.9)
Education 0.008* 0.381 0.077
MIDDLE SCHOOL AND BELOW 219(25.1) 198(24.0) 21(43.8) 40(24.2) 179(25.3) 39(19.8) 180(26.6)
 HIGH SCHOOL 187(21.4) 176(21.3) 11(22.9) 38(23.0) 149(21.0) 43(21.8) 144(21.3)
 JUNIOR COLLEGE 294(33.7) 286(34.7) 8(16.7) 48(29.1) 246(34.7) 65(33.0) 229(33.9)
BACHELOR AND ABOVE 173(19.8) 165(20.0) 8(16.7) 39(23.6) 134(18.9) 50(25.4) 123(18.2)
Household income per capita, m 0.061 0.847 0.076
<4000 139(15.9) 129(15.6) 10(20.8) 23(13.9) 116(16.4) 23(11.7) 116(17.2)
4000~6000 269(30.8) 248(30.1) 21(43.8) 50(30.3) 219(30.9) 57(28.9) 212(31.4)
6000~10000 298(34.1) 285(34.5) 13(27.1) 58(35.2) 240(33.9) 69(35.0) 229(33.9)
≥10000 167(19.2) 163(19.8) 4(8.3) 34(20.6) 133(18.8) 48(24.4) 119(17.6)
Smoking 0.067 0.008* 0.017*
NO 865(99.1) 819(99.3) 46(95.8) 160(97.0) 705(99.6) 192(97.5) 673(99.6)
YES 8(0.9) 6(0.7) 2(4.2) 5(3.0) 3(0.4) 5(2.5) 3(0.4)
Number of exercises per week 0.999 <0.001* 0.021*
0 330(37.8) 312(37.8) 18(37.5) 39(23.6) 291(41.1) 59(29.9) 271(40.1)
<3 55(6.3) 52(6.3) 3(6.3) 9(5.5) 46(6.5) 11(5.6) 44(6.5)
≥3 488(55.9) 461(55.9) 27(56.3) 117(70.9) 371(52.4) 127(64.5) 361(53.4)

a: Since the simple with BMI≥28 was small, it was combined with the simple with 24≤BMI<28 for statistical analysis.

*: P < 0.05

Table 2. Vaccination and SARS-CoV-2 antibody positivity rates stratified by type of nutrient supplements.

Characteristics Total(N = 873) Folic acid P Iron supplements P DHA P
Take (N = 825) No take (N = 48) Take (N = 165) No take (N = 708) Take (N = 197) No take (N = 676)
Doses of vaccination 0.901 <0.001* <0.001*
 ONE DOSE 84(9.6) 79(9.6) 5(10.4) 41(24.8) 43(6.1) 30(15.2) 54(8.0)
 TWO DOSES 669(76.7) 633(76.7) 36(75.0) 114(69.1) 555(78.4) 154(78.2) 515(76.2)
 THREE DOSES 120(13.7) 113(13.7) 7(14.6) 10(6.1) 110(15.5) 13(6.6) 107(15.8)
Adverse events 0.207 0.621 0.825
 NO 477(54.6) 455(55.2) 22(45.8) 93(56.4) 384(54.2) 109(55.3) 368(54.4)
 YES 396(45.4) 370(44.8) 26(54.2) 72(43.6) 324(45.8) 88(44.7) 308(45.6)
Inoculation durations, wk 0.096 <0.001* 0.001*
 <20 119(13.6) 109(13.2) 10(20.8) 5(3.0) 114(16.1) 8(4.1) 111(16.4)
 20–24 107(12.3) 98(11.9) 9(18.8) 10(6.1) 97(13.7) 22(11.2) 85(12.6)
 24–28 202(23.1) 188(22.8) 14(29.2) 30(18.2) 172(24.3) 50(25.4) 152(22.5)
 28–32 230(26.3) 221(26.8) 9(18.8) 53(32.1) 177(25.0) 61(31.0) 169(25.0)
 32–36 138(15.8) 133(16.1) 5(10.4) 48(29.1) 90(12.7) 38(19.3) 100(14.8)
 ≥36 77(8.9) 76(9.2) 1(2.1) 19(11.5) 58(8.2) 18(9.1) 59(8.7)
Neutralizing Antibody 0.288 0.017* <0.001*
 + 390(44.7) 365(44.2) 25(52.1) 60(36.4) 330(46.6) 66(33.5) 324(47.9)
 - 483(55.3) 460(55.8) 23(47.9) 105(63.6) 378(53.4) 131(66.5) 352(52.1)
SARS-CoV-2 IgG 0.706 <0.001* 0.012*
 + 405(46.4) 384(46.5) 21(43.8) 56(33.9) 349(49.3) 76(38.6) 329(48.7)
 - 468(53.6) 441(53.5) 27(56.3) 109(66.1) 359(50.7) 121(61.4) 347(51.3)

We found that there were statistically significant differences between groups of pregnant women who did or did not take folic acid in terms of gravidity (P = 0.002), parity (P = 0.012), and education (P = 0.008). The percentage of pregnant women taking folic acid was higher in those with fewer than two pregnancies (80.6%), ≤1 birth (87.6%), and junior college education (34.7%). There were statistically significant differences between groups of pregnant women who did or did not take iron supplements in terms of smoking (P = 0.008), weekly exercise frequency (P < 0.001), vaccine doses (P < 0.001), time since vaccination (P < 0.001), SARS-CoV-2 neutralizing antibody (P = 0.017), and IgG antibody (P < 0.001). The presence or absence of DHA supplementation was similar to the presence or absence of iron supplementation. There were significant differences between groups in smoking (P = 0.017), weekly exercise frequency (P = 0.021), vaccine doses (P < 0.001), time since vaccination (P = 0.001), SARS-CoV-2 neutralizing antibody (P < 0.001), and IgG antibody (P = 0.012). There were no statistically significant differences in age, body mass index, per capita monthly income, or adverse events.

We further analyzed the general demographic characteristics of the pregnant women taking the three nutritional supplements separately. For pregnant women who took folic acid, there was a significant difference between the neutralizing antibody positive group and neutralizing antibody negative group in terms of vaccination doses (P < 0.001) and time since vaccination (P < 0.001). There was a significant difference between IgG antibody negative and positive groups in terms of age (P = 0.025), adverse events (P = 0.027), vaccination doses (P < 0.001), and time since vaccination (P < 0.001). Among pregnant women who took iron, there was a significant difference between the negative and positive groups of neutralizing antibody, as well as the negative and positive groups of IgG antibody, in terms of vaccination doses (P < 0.001). In pregnant women taking DHA, there was a significant difference between IgG antibody negative and positive groups in terms of gravidity (P = 0.040), vaccination doses (P < 0.001), and time since vaccination (P < 0.001). There was a statistically significant difference between the neutralizing antibody positive group and neutralizing antibody negative group in terms of vaccination doses (P < 0.001) and time since vaccination (P = 0.009) (Data presented in S1-S3 Tables in S1 File)

3.2 Influence of nutritional supplements on antibody levels

To determine the effect of nutritional supplements on antibody levels, multivariable logistic regression analysis was performed. After adjustment for confounding factors such as age, education, vaccine doses, and time since vaccination, we found that there was no significant difference in the positive rates of SARS-CoV-2 neutralizing antibody and IgG antibody according to whether participants took the three nutritional supplements (P > 0.05). Compared with pregnant women who did not take folic acid, the odds ratios (ORs) for the presence of SARS-CoV-2 NAb and IgG antibody in pregnant women who took folic acid were 0.67 (P = 0.255; 95% CI, 0.34–1.32) and 1.24 (P = 0.547; 95% CI, 0.60–2.55), respectively. Compared with pregnant women who did not take iron supplements, the ORs for the presence of NAb and IgG antibody in pregnant women who took iron supplements were 1.16(P = 0.465; 95% CI, 0.77–1.76) and 0.98 (P = 0.931; 95% CI, 0.64–1.49), respectively. Similarly, the ORs for NAb and IgG antibody were 0.71 (P = 0.085; 95% CI, 0.49–1.04) and 0.95 (P = 0.801; 95% CI, 0.65–1.38) in pregnant women who took DHA compared with those who did not (Table 3).

Table 3. Multivariable logistic regression analysis of Nutritional supplements and antibody positivity.

Characteristics P Neutralizing Antibody OR (95%CI) P IgG OR (95%CI)
Folic acid a
 No take 1.00 1.00
 Take 0.255 0.67(0.34–1.32) 0.547 1.24(0.60–2.55)
Iron supplements b
 No take 1.00 1.00
 Take 0.465 1.16(0.77–1.76) 0.931 0.98(0.64–1.49)
DHA c
 No take 1.00 1.00
 Take 0.085 0.71(0.49–1.04) 0.801 0.95(0.65–1.38)

a Model 1: adjusted for age, BMI, education, gravidity, parity, adverse events, inoculation durations, doses of vaccination.

b Model 2: adjusted for age, BMI, smoking, number of exercises per week, adverse events, inoculation durations, doses of vaccination.

c Model 3: adjusted for age, BMI, smoking, number of exercises per week, adverse events, inoculation durations, doses of vaccination.

4 Discussion

The present study showed no association between supplementation during pregnancy and antibody levels in pregnant women who received inactivated SARS-CoV-2 vaccines.

During the COVID-19 pandemic, vaccination has proven to be the most effective control measure in establishing an immune barrier and reducing the rate of severe disease. Although pregnant women were not included in the clinical trials of COVID-19 vaccines before market release, they face higher severity and mortality rates once infected. Therefore, there is a greater need for pregnant women to get vaccinated in order to protect themselves and their fetuses. With more attention paid to pregnant women’s health and nutrient intake, nutritional supplements have been ubiquitously used during pregnancy. Because the development and maintenance of immune cells that support vaccine response depend on a sufficient supply of nutrients, the role of nutritional supplements in immune response to vaccines has drawn increasing attention.

Clinical studies show that low plasma DHA levels during fetal development are associated with cognitive and behavioral disorders [23]. The brain needs DHA supplementation during development of the nervous system. DHA supplementation during pregnancy can increase fetal birth weight, reduce the risk of preterm birth and low birth weight, and also have a positive effect on infant attention regulation [24, 25]. Thus it is necessary to pay attention to DHA intake during pregnancy. In a double-blind, placebo-controlled, randomized trial, children of mothers who took DHA supplements during pregnancy were found to have better problem-solving abilities at age 9 y than those who did not [26]. Taking DHA supplements also improves the health of pregnant women. A randomized controlled trial of low-income African American women showed that pregnant women who received DHA supplementation reported lower levels of stress and had lower levels of stress hormones [27]. The results of this research indicate that DHA intake is not associated with pregnant women’s antibody levels.

Folic acid is essential for DNA and protein synthesis and also plays a crucial role in adaptive immune responses [28]. Pregnancy is a common cause of folic acid deficiency, which can lead to pregnancy complications and affect the growth and development of children, including pregnancy-induced hypertension, increased risk of miscarriage, neural tube defects, cleft lip and palate. Studies have shown that folic acid supplementation during pregnancy may help reduce the risk of prenatal depression and have beneficial effects on fertility [29, 30]. The Centers for Disease Control and Prevention in the USA recommends that women of childbearing age supplement with 400 μg/d of folic acid daily, beginning at least four weeks before conception and continuing through the first three months of pregnancy. In terms of vaccine immune response, taking folic acid during pregnancy increases the persistence of hepatitis B surface antibodies in the fetus [31]. Our study showed that taking folic acid is not associated with pregnant women’s antibody levels. This is because the aforementioned study explored the relationship between folic acid supplements during pregnancy and the immune persistence of antibodies in the fetus, which differs from the focus of our research. Other confounding factors in this study, such as vaccine dosage and income level, may also contribute to this result. In a cluster randomized clinical trial conducted in Niger, the effect of prenatal nutritional supplements on immune responses to oral attenuated rotavirus vaccine was assessed. The results showed that in this low-income country, the types of prenatal nutritional supplements have no effect on immune reactions [32].

Iron, an essential nutrient, plays a significant role in the immune system [33]. Every cell and organ system in the human body requires iron for normal development and metabolic function. Iron deficiency often causes anemia during pregnancy, severely threatening the health of pregnant women and fetuses and increasing the incidence of adverse pregnancy outcomes. A meta-analysis showed a dose-response relationship between iron and birth weight, where before reaching a dose of 66mg, every additional 10mg/day of iron supplementation can increase birth weight by 15.1g, reduce the risk of low birth weight by 3%, and decrease the rate of anemia by 12% [34]. In a birth cohort study, anemia and iron deficiency during babies’ vaccination were found to predict a decrease in response to vaccines against diphtheria, whooping cough, and pneumococcus. Iron supplementation increases antibody affinity and seroconversion of the measles vaccine [35]. Our study showed that taking iron supplements does not affect antibody levels in pregnant women. This may be because the efficacies of various vaccines differ across populations, age groups, and environmental conditions.

Iron, folic acid and DHA are important nutrient supplements during pregnancy. A cross-sectional study conducted in China found that the use rate of folic acid was the highest (81.7%) and the most stable among various nutrient supplements [36]. Women of childbearing age and pregnant women are at risk of developing anemia, and iron deficiency is the most recognized risk factor for this condition. Pregnancy poses a significant risk of iron deficiency for women. Iron requirements are greatly increased compared to the non-pregnant state. Adequate iron during pregnancy leads to better pregnancy outcomes for both mother and child. During pregnancy, DHA is transferred in large quantities to the fetus through the placenta. The maternal DHA nutritional status directly affects the fetal DHA nutritional status, which in turn affects fetal development.

This research is a cross-sectional study based on real-world data, differing from the aforementioned studies in terms of research design. Furthermore, differences in research subjects and vaccines can also cause different results. For example, the mechanisms of vaccines may vary between the immune systems of fetuses and pregnant women, thereby producing inconsistent immune responses. Finally, readjusting an established immune system may require additional intervention beyond nutritional supplements, and the most effective supplement has not been identified.

The strength of this study is that it is the first to examine the influence of nutrient supplements taken during pregnancy on the antibody level produced by pregnant women who have received COVID-19 vaccines. The finding of this study provides a certain degree of reference for pregnant women in this regard. We acknowledge some limitations in present study. Because the data on supplements taken by pregnant women were based on self-report, there may have been some recall bias. Another drawback is the lack of survey information on nutrient intake among pregnant women, which could lead to imprecise results. In the future, we may consider measuring the baseline levels of nutritional supplements in the first trimester and evaluating the effects of nutrient supplements such as vitamin D, calcium, and zinc on the immune levels of pregnant women, to provide more effective recommendations on nutrient intake for pregnant women.

5 Conclusions

Nutritional supplementation with folic acid, iron, and DHA during pregnancy was not associated with antibody levels in pregnant women who received inactivated SARS-CoV-2 vaccines.

Supporting information

S1 File. Demographic characteristics of the participants taking folic acid, taking iron supplements and taking DHA.

(DOCX)

pone.0289255.s001.docx (41.3KB, docx)
S1 Data

(XLSX)

pone.0289255.s002.xlsx (203.2KB, xlsx)

Acknowledgments

We thank all pregnant women who took part in this survey and the health care workers who helped us.

Data Availability

All relevant data are within the manuscript and its Supporting information files.

Funding Statement

This study was funded by the Exposure to SARS-CoV-2 vaccine before or during pregnancy and adverse pregnancy outcomes: a cohort study grant [41-43241529], the 2022 Science and Technology Innovation Project of Guangdong Medical Products Administration “Discussion on active monitoring methods for adverse reactions of vaccines on the market based on the real world” grant [2022TDZ21], and by the 2022 Science and Technology Innovation Project of Guangdong Medical Products Administration "Research and application of key technology and evaluation system of pharmacovigilance" project funding [2022ZDZ06]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Guan WJ, Liang WH, Zhao Y, Liang HR, Chen ZS, Li YM, et al. China Medical Treatment Expert Group for COVID-19. Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis. Eur Respir J. (2020) May 14;55(5):2000547. doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Skirrow H, Barnett S, Bell S, Riaposova L, Mounier-Jack S, Kampmann B, et al. Women’s views on accepting COVID-19 vaccination during and after pregnancy, and for their babies: a multi-methods study in the UK. BMC Pregnancy Childbirth. (2022) Jan 14;22(1):33. doi: 10.1186/s12884-021-04321-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Wack S, Patton T, Ferris LK. COVID-19 vaccine safety and efficacy in patients with immune-mediated inflammatory disease: Review of available evidence. J Am Acad Dermatol.(2021)Nov;85(5):1274–1284. doi: 10.1016/j.jaad.2021.07.054 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Tregoning JS, Flight KE, Higham SL, Wang Z, Pierce BF. Progress of the COVID-19 vaccine effort: viruses, vaccines and variants versus efficacy, effectiveness and escape. Nat Rev Immunol. (2021) Oct;21(10):626–636. doi: 10.1038/s41577-021-00592-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Luxi N, Giovanazzi A, Capuano A, Crisafulli S, Cutroneo PM, Fantini MP, et al. COVID-19 Vaccination in Pregnancy, Paediatrics, Immunocompromised Patients, and Persons with History of Allergy or Prior SARS-CoV-2 Infection: Overview of Current Recommendations and Pre- and Post-Marketing Evidence for Vaccine Efficacy and Safety. Drug Saf. (2021) Dec;44(12):1247–1269. doi: 10.1007/s40264-021-01131-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Baden LR, El Sahly HM, Essink B, Kotloff K, Frey S, Novak R, et al. Efficacy and Safety of the mRNA-1273 SARS-CoV-2 Vaccine. N Engl J Med. (2021) Feb 4;384(5):403–416. doi: 10.1056/NEJMoa2035389 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Gorun F, Motoi S, Malita D, Navolan DB, Nemescu D, Olariu TR, et al. Cytomegalovirus seroprevalence in pregnant women in the western region of Romania: A large-scale study. Exp Ther Med. (2020) Sep;20(3):2439–2443. doi: 10.3892/etm.2020.8945 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Villar J, Ariff S, Gunier RB, Thiruvengadam R, Rauch S, Kholin A, et al. Maternal and Neonatal Morbidity and Mortality Among Pregnant Women With and Without COVID-19 Infection: The INTERCOVID Multinational Cohort Study. JAMA Pediatr. (2021) Aug 1;175(8):817–826. Erratum in: JAMA Pediatr. 2022 Jan 1;176(1):104. doi: 10.1001/jamapediatrics.2021.1050 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Goldshtein I, Nevo D, Steinberg DM, Rotem RS, Gorfine M, Chodick G, et al. Association Between BNT162b2 Vaccination and Incidence of SARS-CoV-2 Infection in Pregnant Women. JAMA. (2021) Aug 24;326(8):728–735. doi: 10.1001/jama.2021.11035 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Maggini S, Pierre A, Calder PC. Immune Function and Micronutrient Requirements Change over the Life Course. Nutrients. (2018) Oct 17;10(10):1531. doi: 10.3390/nu10101531 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Junaid K, Ejaz H, Abdalla AE, Abosalif KOA, Ullah MI, Yasmeen H, et al. Effective Immune Functions of Micronutrients against SARS-CoV-2. Nutrients. (2020) Sep 29;12(10):2992. doi: 10.3390/nu12102992 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Iddir M, Brito A, Dingeo G, Fernandez Del Campo SS, Samouda H, La Frano MR, et al. Strengthening the Immune System and Reducing Inflammation and Oxidative Stress through Diet and Nutrition: Considerations during the COVID-19Crisis. Nutrients. (2020) May 27;12(6):1562. doi: 10.3390/nu12061562 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Samartin S., Chandra R. Obesity, overnutrition and the immune system. Nutr. Res. (2001);21:243–262. doi: 10.1016/S0271-5317(00)00255-4 [DOI] [Google Scholar]
  • 14.Brown B, Wright C. Safety and efficacy of supplements in pregnancy. Nutr Rev. (2020) Oct 1;78(10):813–826. doi: 10.1093/nutrit/nuz101 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Bulloch RE, Lovell AL, Jordan VMB, et al. Maternal folic acid supplementation for the prevention of preeclampsia: a systematic review and meta-analysis. Paediatr Perinat Epidemiol. (2018);32:346–357. doi: 10.1111/ppe.12476 [DOI] [PubMed] [Google Scholar]
  • 16.Zamora TG, Guiang SF 3rd, Widness JA, Georgieff MK. Iron is prioritized to red blood cells over the brain in phlebotomized anemic newborn lambs. Pediatr Res. (2016) Jun;79(6):922–8. doi: 10.1038/pr.2016.20 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Petry N, Olofin I, Hurrell RF, Boy E, Wirth JP, Moursi M, et al. The Proportion of Anemia Associated with Iron Deficiency in Low, Medium, and High Human Development Index Countries: A Systematic Analysis of National Surveys. Nutrients. (2016) Nov 2;8(11):693. doi: 10.3390/nu8110693 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Figueiredo ACMG, Gomes-Filho IS, Silva RB, Pereira PPS, Mata FAFD, Lyrio AO, et al. Maternal Anemia and Low Birth Weight: A Systematic Review and Meta-Analysis. Nutrients. (2018) May 12;10(5):601. doi: 10.3390/nu10050601 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Rahman MM, Abe SK, Rahman MS, Kanda M, Narita S, Bilano V, et al. Maternal anemia and risk of adverse birth and health outcomes in low- and middle-income countries: systematic review and meta-analysis. Am J Clin Nutr. (2016) Feb;103(2):495–504. doi: 10.3945/ajcn.115.107896 [DOI] [PubMed] [Google Scholar]
  • 20.Uta M, Neamtu R, Bernad E, Mocanu AG, Gluhovschi A, Popescu A, et al. The Influence of Nutritional Supplementation for Iron Deficiency Anemia on Pregnancies Associated with SARS-CoV-2 Infection. Nutrients. 2022. Feb 16;14(4):836. doi: 10.3390/nu14040836 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Shulkin M, Pimpin L, Bellinger D, Kranz S, Fawzi W, Duggan C, et al. n-3 Fatty Acid Supplementation in Mothers, Preterm Infants, and Term Infants and Childhood Psychomotor and Visual Development: A Systematic Review and Meta-Analysis. J Nutr. (2018) Mar 1;148(3):409–418. doi: 10.1093/jn/nxx031 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Larqué E, Gil-Sánchez A, Prieto-Sánchez MT, Koletzko B. Omega 3 fatty acids, gestation and pregnancy outcomes. Br J Nutr. (2012) Jun;107 Suppl 2:S77–84. doi: 10.1017/S0007114512001481 [DOI] [PubMed] [Google Scholar]
  • 23.Jouanne M, Oddoux S, Noël A, Voisin-Chiret AS. Nutrient Requirements during Pregnancy and Lactation. Nutrients. (2021) Feb 21;13(2):692. doi: 10.3390/nu13020692 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Vinding RK, Stokholm J, Sevelsted A, Chawes BL, Bønnelykke K, Barman M, et al. Fish Oil Supplementation in Pregnancy Increases Gestational Age, Size for Gestational Age, and Birth Weight in Infants: A Randomized Controlled Trial. J Nutr. (2019) Apr 1;149(4):628–634. doi: 10.1093/jn/nxy204 [DOI] [PubMed] [Google Scholar]
  • 25.Colombo J, Gustafson KM, Gajewski BJ, Shaddy DJ, Kerling EH, Thodosoff JM, et al. Prenatal DHA supplementation and infant attention. Pediatr Res. (2016) Nov;80(5):656–662. doi: 10.1038/pr.2016.134 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Judge MP, Harel O, Lammi-Keefe CJ. Maternal consumption of a docosahexaenoic acid-containing functional food during pregnancy: benefit for infant performance on problem-solving but not on recognition memory tasks at age 9 mo. Am J Clin Nutr. (2007) Jun;85(6):1572–7. doi: 10.1093/ajcn/85.6.1572 [DOI] [PubMed] [Google Scholar]
  • 27.Keenan K, Hipwell AE, Bortner J, Hoffmann A, McAloon R. Association between fatty acid supplementation and prenatal stress in African Americans: a randomized controlled trial. Obstet Gynecol. (2014) Dec;124(6):1080–1087. doi: 10.1097/AOG.0000000000000559 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Kumar P, Kumar M, Bedi O, Gupta M, Kumar S, Jaiswal G, et al. Role of vitamins and minerals as immunity boosters in COVID-19. Inflammopharmacology. (2021) Aug;29(4):1001–1016. doi: 10.1007/s10787-021-00826-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Jin X, Cheng Z, Yu X, Tao Q, Huang R, Wang S. Continuous supplementation of folic acid in pregnancy and the risk of perinatal depression-A meta-analysis. J Affect Disord. (2022) Apr 1;302:258–272. doi: 10.1016/j.jad.2022.01.080 [DOI] [PubMed] [Google Scholar]
  • 30.Gaskins AJ, Chavarro JE. Diet and fertility: a review. Am J Obstet Gynecol. (2018) Apr;218(4):379–389. doi: 10.1016/j.ajog.2017.08.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Zhao X, Pang X, Wang F, Cui F, Wang L, Zhang W. Maternal folic acid supplementation and antibody persistence 5 years after hepatitis B vaccination among infants. Hum Vaccin Immunother. (2018);14(10):2478–2484. doi: 10.1080/21645515.2018.1482168 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Sanaka S, Garba S, Plikaytis B, Malone McNeal M, Guindo O, Langendorf C, et al. Immunogenicity of an oral rotavirus vaccine administered with prenatal nutritional support in Niger: A cluster randomized clinical trial. PLoS Med. (2021) Aug 10;18(8):e1003720. doi: 10.1371/journal.pmed.1003720 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Kehl-Fie TE, Skaar EP. Nutritional immunity beyond iron: a role for manganese and zinc. Curr Opin Chem Biol. (2010) Apr;14(2):218–24. doi: 10.1016/j.cbpa.2009.11.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Haider BA, Olofin I, Wang M, Spiegelman D, Ezzati M, Fawzi WW. Nutrition Impact Model Study Group (anaemia). Anaemia, prenatal iron use, and risk of adverse pregnancy outcomes: systematic review and meta-analysis. BMJ. (2013) Jun 21;346:f3443. doi: 10.1136/bmj.f3443 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Toffel NU, Uyoga MA, Mutuku FM, Frost JN, Mwasi E, Paganini D, et al. Iron Deficiency Anemia at Time of Vaccination Predicts Decreased Vaccine Response and Iron Supplementation at Time of Vaccination Increases Humoral Vaccine Response: A Birth Cohort Study and a Randomized Trial Follow-Up Study in Kenyan Infants. Front Immunol. (2020) Jul 13;11:1313. doi: 10.3389/fimmu.2020.01313 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Chatterjee R, Shand A, Nassar N, Walls M, Khambalia AZ. Iron supplement use in pregnancy—Are the right women taking the right amount? Clin Nutr. (2016) Jun;35(3):741–7. doi: 10.1016/j.clnu.2015.05.014 [DOI] [PubMed] [Google Scholar]

Decision Letter 0

Gang Qin

7 Aug 2023

PONE-D-23-21116Effects of nutritional supplements on antibody levels in pregnant women vaccinated with inactivated SARS-CoV-2 vaccinesPLOS ONE

Dear Dr. CHEN,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Sep 21 2023 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Gang Qin, PhD, MD

Academic Editor

PLOS ONE

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at 

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and 

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. Please provide additional details regarding participant consent. In the ethics statement in the Methods and online submission information, please ensure that you have specified what type you obtained (for instance, written or verbal, and if verbal, how it was documented and witnessed). If your study included minors, state whether you obtained consent from parents or guardians. If the need for consent was waived by the ethics committee, please include this information.

Once you have amended this/these statement(s) in the Methods section of the manuscript, please add the same text to the “Ethics Statement” field of the submission form (via “Edit Submission”).

For additional information about PLOS ONE ethical requirements for human subjects research, please refer to http://journals.plos.org/plosone/s/submission-guidelines#loc-human-subjects-research.

3. We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. For more information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. 

In your revised cover letter, please address the following prompts:

a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially sensitive information, data are owned by a third-party organization, etc.) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent.

b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings as either Supporting Information files or to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories.

We will update your Data Availability statement on your behalf to reflect the information you provide.

Additional Editor Comments:

The reviewers raised several concerns on your original submission. Please make major revision according to their suggestions.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: No

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: No

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: No

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: This manuscript presents a study that enrolled 873 pregnant women to investigate their general demographic characteristics and the use of nutritional supplements, specifically in relation to the serum antibody levels induced by inactivated SARS-CoV-2 vaccines. While the article attempts to explore the association between nutritional supplements and immune effects of these vaccines during pregnancy, the research significance of this relationship is not clearly discussed. The introduction of the article dedicates considerable space to emphasizing the significance of nutritional supplements for pregnant women, but only briefly mentions the immunomodulatory effects of nutrients in the context of COVID-19 susceptibility. This lack of clarity in the study's objective left me uncertain about the authors' intentions. Overall, the manuscript fails to demonstrate the advantages and necessity of the study, resulting in a lack of novel and significant results. As a result, I do not recommend this manuscript for publication in PLOS ONE.

Major concerns:

1. The meaning of the reported P values in Table 1 and Table 3 is unclear. For example, if the P value in line "Age group" (Table 1, 0.054) indicates that there are no significant differences between the folic acid group and non-folic acid group in terms of age, then how should we interpret the P value in line "Doses of vaccination" (Table 3, <0.001)? It suggests that there is a significant difference between the neutralizing antibody positive group and neutralizing antibody negative group in terms of vaccination doses. However, in lines 201-203, the authors conclude that "For pregnant women who took folic acid, the positive rate of SARS-CoV-2 neutralizing antibody varied significantly with vaccine doses (P < 0.001) and time since vaccination (P < 0.001)." Such inconsistencies are present throughout the article. If the P values have different implications in different tables, the authors should provide clear explanations in the manuscript.

2. In lines 186-187, the authors state "We found significant differences in gravidity (P = 0.002), parity (P = 0.012), and education (P = 0.008) according to whether the pregnant women took folic acid." The intended meaning of this statement is unclear. Similar sentences also appear on lines 190-193.

3. In Table 6, the authors adjusted for variables such as age, BMI, education, number of exercises per week, adverse events, inoculation durations, and doses of vaccination. The rationale behind selecting these variables and not others is not explained. Additionally, the manuscript lacks univariate analysis of these variables in relation to antibody levels.

Reviewer #2: This study aimed to examine the influence of dietary supplements on antibody levels in pregnant women vaccinated with inactivated SARS-CoV-2 vaccine. Because it is a cross-sectional study, it is better to use “influence” than “effect”, which may imply a causal association. Overall, this study is well written and seems to add to the literature timely. There are some comments that can be considered for further publication.

Page 5, add citation for “Pregnant women with iron deficiency anemia are more susceptible to SARS-CoV-2 infection.”

Page 5, in the last paragraph of the introduction, please show how this study add to the literature.

Page 5, add a flowchart for the study participants

Page 6, in the study variable section, try to make clear that which variables are outcome variables, exposure variables, and covariates, respective.

Page 7, justify why fisher test are needed.

Page 12, line 200, authors further analyzed the general demographic characteristics of the pregnant women taking the three nutritional supplements separately. Tables 3-5 can be combined to one Table. Also, these tables seem not quite contribute well to the study aim, which can be considered to be the supplemental Table.

Page 20, page 283, it is better to use "multivariable analysis", rather than "multivariate analysis".

Page 21, Table 6 is the final model to answer the study aim. In bivariate analyses, the associations between exposure variables (e.g., iron supplements and DHA) and outcome variables seems to be statistically significant but the associations disappeared in the adjusted models. Any reasons? For each model based on three separate exposure variables, whether authors adjusted for different confounding factors (e.g., see Table 1)? What is the definition of the confounder? Also, are there any effect modifiers? In the statistic analysis section, authors can provide more details.

Page 21, in discussion section, any previous studies in China or worldwide have been done? Are their findings consistent with the present study? Try to add some novelty/strength of this study.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2024 Mar 7;19(3):e0289255. doi: 10.1371/journal.pone.0289255.r002

Author response to Decision Letter 0


24 Aug 2023

Aug 13, 2023

Dear Editor,

Thank you for providing us this opportunity to revise our manuscript entitled “Effects of nutritional supplements on antibody levels in pregnant women vaccinated with inactivated SARS-CoV-2 vaccines” (Manuscript ID: PONE-D-23-21116). On behalf of my colleagues, I am submitting our revised manuscript. We appreciate the reviewers’ and editor’s positive and insightful comments. We have carefully considered all the comments and revised the manuscript accordingly. In order to facilitate the review process, we provided a point-by-point response to each of the comments. The precise page and line in the revised manuscript where each change was made in response to the comments were provided as well.

We appreciated for Editors and Reviewers’ warm work earnestly. We have tried our best to improve and revise the manuscript. We hope that the manuscript is now acceptable. Should you have any additional requests or questions, please do not hesitate to contact me.

We look forward to hearing from you.

RESPONSES TO THE REVIEWER#1’ S COMMENTS

Comment 1: The meaning of the reported P values in Table 1 and Table 3 is unclear. For example, if the P value in line "Age group" (Table 1, 0.054) indicates that there are no significant differences between the folic acid group and non-folic acid group in terms of age, then how should we interpret the P value in line "Doses of vaccination" (Table 3, <0.001)? It suggests that there is a significant difference between the neutralizing antibody positive group and neutralizing antibody negative group in terms of vaccination doses. However, in lines 201-203, the authors conclude that "For pregnant women who took folic acid, the positive rate of SARS-CoV-2 neutralizing antibody varied significantly with vaccine doses (P < 0.001) and time since vaccination (P < 0.001)." Such inconsistencies are present throughout the article. If the P values have different implications in different tables, the authors should provide clear explanations in the manuscript.

Response: Thanks for the reviewer's comment. As you mentioned above,the P value in line "Doses of vaccination" (Table 3, <0.001) suggests that there is a significant difference between the neutralizing antibody positive group and neutralizing antibody negative group in terms of vaccination doses. I'm sorry for not expressing clearly.We have revised (show in line 212-226) as:

For pregnant women who took folic acid, there was a significant difference between the neutralizing antibody positive group and neutralizing antibody negative group in terms of vaccination doses (P < 0.001) and time since vaccination (P < 0.001). There was a significant difference between IgG antibody negative and positive groups in terms of age (P = 0.025), adverse events (P = 0.027), vaccination doses (P < 0.001), and time since vaccination (P < 0.001). Among pregnant women who took iron, there was a significant difference between the negative and positive groups of neutralizing antibody, as well as the negative and positive groups of IgG antibody, in terms of vaccination doses (P < 0.001). In pregnant women taking DHA, there was a significant difference between IgG antibody negative and positive groups in terms of gravidity (P = 0.040), vaccination doses (P < 0.001), and time since vaccination (P < 0.001). There was a statistically significant difference between the neutralizing antibody positive group and neutralizing antibody negative group in terms of vaccination doses (P < 0.001) and time since vaccination (P = 0.009) .

Comment 2: In lines 186-187, the authors state "We found significant differences in gravidity (P = 0.002), parity (P = 0.012), and education (P = 0.008) according to whether the pregnant women took folic acid." The intended meaning of this statement is unclear. Similar sentences also appear on lines 190-193.

Response: Thanks for the reviewer's comment. We have revised (show in line 196-198,200-204) as:

We found that there were statistically significant differences between groups of pregnant women who did or did not take folic acid in terms of gravidity (P = 0.002), parity (P = 0.012), and education (P = 0.008).

There were statistically significant differences between groups of pregnant women who did or did not take iron supplements in terms of smoking (P = 0.008), weekly exercise frequency (P < 0.001), vaccine doses (P < 0.001), time since vaccination (P < 0.001), SARS-CoV-2 neutralizing antibody (P = 0.017), and IgG antibody (P < 0.001) .

Comment 3:In Table 6, the authors adjusted for variables such as age, BMI, education, number of exercises per week, adverse events, inoculation durations, and doses of vaccination. The rationale behind selecting these variables and not others is not explained. Additionally, the manuscript lacks univariate analysis of these variables in relation to antibody levels.

Response: Thanks for the reviewer's comment. We have revised (show in line 167-173) as:

The adjusted factors were determined through the results of univariate analysis and literature review. Model 1 was adjusted for age, BMI, education, gravidity, parity, adverse events, inoculation durations, doses of vaccination. Model 2 was adjusted for age, BMI, smoking, number of exercises per week, adverse events, inoculation durations, doses of vaccination. Model 3 was adjusted for age, BMI, smoking, number of exercises per week, adverse events, inoculation durations, doses of vaccination.

RESPONSES TO THE REVIEWER#2’ S COMMENTS

Comment 4: Page 5, add citation for“Pregnant women with iron deficiency anemia are more susceptible to SARS-CoV-2 infection.”

Response: Thanks for the reviewer's comment.We have added citation for the word.

Comment 5: Page 5, in the last paragraph of the introduction, please show how this study add to the literature.

Response: Thanks for the reviewer's comment.We have revised (show in line 113-115) as:

This study can provide a certain reference for the question of the influence of women taking nutrients during pregnancy on the level of antibody produced by COVID-19 vaccines.

Comment 6: Page 5, add a flowchart for the study participants.

Response: Thanks for the reviewer's comment.We have added a flowchart in page 6.

Comment 7: Page 6, in the study variable section, try to make clear that which variables are outcome variables, exposure variables, and covariates, respective.

Response: Thanks for the reviewer's comment.We have revised (show in line 140-143) as:

The presence of nutrient supplements was the exposure variable, negative or positive antibody level were outcome variables, and age, BMI, parity, education and income level, smoking, number of exercises per week, doses of vaccination, adverse reactions, and time since vaccination were covariates.

Comment 8: Page 7, justify why fisher test are needed.

Response: Thanks for the reviewer's comment.We have revised (show in line 164) as:

When the sample size n < 40 or the expected frequency T < 1 use Fisher's test.

Comment 9: Page 12, line 200, authors further analyzed the general demographic characteristics of the pregnant women taking the three nutritional supplements separately. Tables 3-5 can be combined to one Table. Also, these tables seem not quite contribute well to the study aim, which can be considered to be the supplemental Table.

Response: Thanks for the reviewer's comment.We have revised.

Comment 10: Page 20, page 283, it is better to use "multivariable analysis", rather than "multivariate analysis".

Response: Thanks for the reviewer's comment.We have revised (show in line 230) .

Comment 11: Page 21, Table 6 is the final model to answer the study aim. In bivariate analyses, the associations between exposure variables (e.g., iron supplements and DHA) and outcome variables seems to be statistically significant but the associations disappeared in the adjusted models. Any reasons? For each model based on three separate exposure variables, whether authors adjusted for different confounding factors (e.g., see Table 1)? What is the definition of the confounder? Also, are there any effect modifiers? In the statistic analysis section, authors can provide more details.

Response: Thanks for the reviewer's comment.We have revised (show in line 167-173) as:

The adjusted factors were determined through the results of univariate analysis and literature review. Model 1 was adjusted for age, BMI, education, gravidity, parity, adverse events, inoculation durations, doses of vaccination. Model 2 was adjusted for age, BMI, smoking, number of exercises per week, adverse events, inoculation durations, doses of vaccination. Model 3 was adjusted for age, BMI, smoking, number of exercises per week, adverse events, inoculation durations, doses of vaccination.

Comment 12: Page 21, in discussion section, any previous studies in China or worldwide have been done? Are their findings consistent with the present study? Try to add some novelty/strength of this study.

Response: Thanks for the reviewer's comment.We have revised (show in line 335-338) as:

The strength of this study is that it is the first to examine the influence of nutrient supplements taken during pregnancy on the antibody level produced by pregnant women who have received COVID-19 vaccines. The finding of this study provides a certain degree of reference for pregnant women in this regard.

Attachment

Submitted filename: Response to Reviewers.docx

pone.0289255.s003.docx (18.7KB, docx)

Decision Letter 1

Gang Qin

4 Sep 2023

Influence of nutritional supplements on antibody levels in pregnant women vaccinated with inactivated SARS-CoV-2 vaccines

PONE-D-23-21116R1

Dear Dr. CHEN,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Gang Qin, PhD, MD

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

The authors have addressed all of the reviewers' concerns.

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #2: Authors have addressed my comments and revised accordingly in the main text. Additionally, revised tables are improved to satisfy the study aims.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #2: No

**********

Acceptance letter

Gang Qin

27 Feb 2024

PONE-D-23-21116R1

PLOS ONE

Dear Dr. Chen,

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team.

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

* All references, tables, and figures are properly cited

* All relevant supporting information is included in the manuscript submission,

* There are no issues that prevent the paper from being properly typeset

If revisions are needed, the production department will contact you directly to resolve them. If no revisions are needed, you will receive an email when the publication date has been set. At this time, we do not offer pre-publication proofs to authors during production of the accepted work. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few weeks to review your paper and let you know the next and final steps.

Lastly, if your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

If we can help with anything else, please email us at customercare@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Gang Qin

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 File. Demographic characteristics of the participants taking folic acid, taking iron supplements and taking DHA.

    (DOCX)

    pone.0289255.s001.docx (41.3KB, docx)
    S1 Data

    (XLSX)

    pone.0289255.s002.xlsx (203.2KB, xlsx)
    Attachment

    Submitted filename: Response to Reviewers.docx

    pone.0289255.s003.docx (18.7KB, docx)

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting information files.


    Articles from PLOS ONE are provided here courtesy of PLOS

    RESOURCES