| Literature DB >> 35406057 |
Ioana Mihaela Citu1, Cosmin Citu2, Madalin-Marius Margan2, Marius Craina2, Radu Neamtu2, Oana Maria Gorun3, Bogdan Burlea3, Felix Bratosin4, Ovidiu Rosca4, Mirela Loredana Grigoras5, Andrei Motoc5, Daniel Malita6, Octavian Neagoe7, Florin Gorun2.
Abstract
Magnesium may contribute to the immune response during and after SARS-CoV-2 infection by acting as a cofactor for immunoglobulin production and other processes required for T and B cell activity. Considering magnesium as a recommended dietary supplement during pregnancy and the possible role of magnesium deficiency in COVID-19 and its complications, the current study sought to determine the effect of magnesium and magnesium-containing nutritional supplements on the immune response following SARS-CoV-2 infection in pregnant women, as well as to observe differences in pregnancy outcomes based on the supplements taken during pregnancy. The study followed a cross-sectional design, where patients with a history of SARS-CoV-2 infection during their pregnancy were surveyed for their preferences in nutritional supplementation and their profile compared with existing records from the institutional database. A cohort of 448 pregnant women with COVID-19 during 22 months of the pandemic was assembled, out of which 13.6% took a magnesium-only supplement, and 16.5% supplemented their diet with a combination of calcium, magnesium, and zinc. Around 60% of patients in the no-supplementation group had the SARS-CoV-2 anti-RBD lower than 500 U/mL, compared with 50% in those who took magnesium-based supplements. A quantity of magnesium >450 mg in the taken supplements determined higher levels of antibody titers after COVID-19. Low magnesium dosage (<450 mg) was an independent risk factor for a weak immune response (OR-1.25, p-value = 0.003). The observed findings suggest supplementing the nutritional intake of pregnant women with magnesium-based supplements to determine higher levels of SARS-CoV-2 anti-RBD antibodies, although causality remains unclear.Entities:
Keywords: COVID-19; SARS-CoV-2; micronutrients; nutritional supplementation; pregnancy
Mesh:
Substances:
Year: 2022 PMID: 35406057 PMCID: PMC9003126 DOI: 10.3390/nu14071445
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Background data of the study cohort stratified by type of micronutrient supplementation.
| Variables * | No Supplementation | Mg | Ca+Mg+Zn | |
|---|---|---|---|---|
| Age | 0.298 | |||
| <25 | 34 (10.9%) | 9 (14.8%) | 13 (17.6%) | |
| 25–34 | 221 (70.6%) | 40 (65.6%) | 43 (58.1%) | |
| >34 | 58 (18.5%) | 12 (19.7%) | 18 (24.3%) | |
| Gravidity | <0.001 | |||
| 1 | 129 (41.2%) | 38 (62.3%) | 46 (62.2%) | |
| 2 | 94 (30.0%) | 14 (23.0%) | 22 (29.7%) | |
| ≥3 | 90 (28.8%) | 9 (14.8%) | 6 (8.1%) | |
| Parity | <0.001 | |||
| 1 | 137 (43.8%) | 41 (67.2%) | 49 (66.2%) | |
| 2 | 102 (32.6%) | 16 (26.2%) | 20 (27.0%) | |
| ≥3 | 74 (23.6%) | 4 (6.6%) | 5 (6.8%) | |
| Area of residence | 0.006 | |||
| Urban | 139 (44.4%) | 38 (62.3%) | 44 (59.5%) | |
| Rural | 174 (55.6%) | 23 (37.7%) | 30 (40.5%) | |
| Occupation | 0.028 | |||
| No occupation | 62 (19.8%) | 8 (13.1%) | 11 (14.9%) | |
| Student | 54 (17.3%) | 17 (27.9%) | 24 (32.4%) | |
| Employed | 197 (62.9%) | 36 (59.0%) | 39 (52.7%) | |
| Level of education | 0.156 | |||
| Elementary | 38 (12.1%) | 4 (6.6%) | 7 (9.5%) | |
| Middle | 106 (33.9%) | 15 (24.6%) | 19 (25.7%) | |
| Higher | 169 (54.0%) | 42 (68.9%) | 48 (64.9%) | |
| Level of income | 0.042 | |||
| Low | 63 (20.1%) | 9 (14.8%) | 10 (13.5%) | |
| Medium | 195 (62.3%) | 34 (55.7%) | 41 (55.4%) | |
| High | 55 (17.6%) | 18 (29.5%) | 23 (31.1%) | |
| Civil status | 0.923 | |||
| Married | 283 (90.4%) | 57 (93.4%) | 66 (89.2%) | |
| Single | 12 (3.8%) | 2 (3.3%) | 3 (4.1%) | |
| Divorced/Widowed | 18 (5.8%) | 2 (3.3%) | 5 (6.8%) |
* Data presented as n (frequency) unless specified differently.
Summary of nutritional supplementation in the study cohort, stratified by type of micronutrient supplementation.
| Variables * | Mg Supplementation | Ca+Mg+Zn | |
|---|---|---|---|
| Reason for supplementation | 0.594 | ||
| Self-medicated | 39 (63.9%) | 44 (59.5%) | |
| By recommendation | 22 (36.1%) | 30 (40.5%) | |
| Duration of supplementation | 0.266 | ||
| <9 months | 48 (78.7%) | 52 (70.3%) | |
| ≥9 months | 13 (21.3%) | 22 (29.7%) | |
| Other supplements used | |||
| Folate | 24 (39.3%) | 39 (52.7%) | 0.121 |
| Iron | 41 (67.2%) | 52 (70.3%) | 0.702 |
| Vitamin D | 18 (29.5%) | 24 (32.4%) | 0.714 |
| Probiotics | 14 (23.0%) | 21 (28.4%) | 0.473 |
| Consistency of intake | 0.852 | ||
| Daily | 39 (63.9%) | 45 (60.8%) | |
| At least 5 times a week | 18 (29.5%) | 25 (33.8%) | |
| Less than 5 times a week | 4 (6.6%) | 4 (5.4%) | |
| Form of magnesium | 0.967 | ||
| Mg(OH)2 | 6 (9.8%) | 6 (8.5%) | |
| MgO | 13 (21.3%) | 16 (22.5%) | |
| MgCl2 | 7 (11.5%) | 5 (7.0%) | |
| Lactate | 6 (9.8%) | 8 (11.3%) | |
| Citrate | 21 (34.4%) | 26 (36.6%) | |
| Aspartate | 8 (13.1%) | 10 (14.1%) | |
| Magnesium dose | 0.774 | ||
| <450 mg | 20 (32.8%) | 26 (35.1%) | |
| ≥450 mg | 41 (67.2%) | 48 (64.9%) |
* Data presented as n (frequency) unless specified differently.
Clinical characteristics, complications, and outcomes of the study cohort, stratified by type of micronutrient supplementation.
| Variables * | No Supplementation | Magnesium | Ca+Mg+Zn | |
|---|---|---|---|---|
| Comorbidities | ||||
| Obesity, (BMI ≥ 30 kg/m2) | 65 (20.8%) | 11 (18.0%) | 14 (18.9%) | 0.859 |
| High blood pressure | 28 (8.9%) | 5 (8.2%) | 7 (9.5%) | 0.967 |
| Thromboembolic events | 7 (2.2%) | 0 (0.0%) | 1 (1.4%) | 0.460 |
| Others ** | 16 (5.1%) | 4 (6.6%) | 4 (5.4%) | 0.899 |
| COVID-19 severity | 0.868 | |||
| Mild | 229 (73.2%) | 47 (77.0%) | 53 (71.6%) | |
| Moderate | 70 (22.4%) | 12 (19.7%) | 19 (25.7%) | |
| Severe | 14 (4.5%) | 2 (3.3%) | 2 (2.7%) | |
| COVID-19 symptoms | ||||
| Fever | 246 (78.6%) | 45 (73.8%) | 53 (71.6%) | 0.369 |
| Anosmia/Ageusia | 179 (57.2%) | 27 (44.3%) | 31 (41.9%) | 0.020 |
| Cough | 215 (68.7%) | 39 (63.9%) | 42 (56.8%) | 0.139 |
| Fatigue | 272 (86.9%) | 46 (75.4%) | 54 (73.0%) | 0.003 |
| Dyspnea | 124 (39.6%) | 22 (36.1%) | 25 (33.8%) | 0.607 |
| Digestive symptoms | 88 (28.1%) | 11 (18.0%) | 12 (16.2%) | 0.043 |
| Others | 71 (22.7%) | 11 (18.0%) | 14 (18.9%) | 0.610 |
| Maternal complications | ||||
| Anemia | 98 (31.3%) | 17 (27.9%) | 19 (25.7%) | 0.592 |
| Gestational diabetes mellitus | 27 (8.6%) | 3 (4.9%) | 5 (6.8%) | 0.573 |
| Gestational hypertension | 25 (8.0%) | 2 (3.3%) | 2 (2.7%) | 0.138 |
| Oligohydramnios | 17 (5.4%) | 1 (1.6%) | 3 (4.1%) | 0.422 |
| Polyhydramnios | 15 (4.8%) | 2 (3.3%) | 1 (1.4%) | 0.379 |
| Abnormal presentation | 33 (10.5%) | 4 (6.6%) | 5 (6.8%) | 0.433 |
| PROM | 34 (10.9%) | 2 (3.3%) | 3 (4.1%) | 0.047 |
| Cesarean delivery | 76 (24.3%) | 12 (19.7%) | 15 (20.3%) | 0.611 |
| Neonatal complications | ||||
| Anemia | 62 (19.8%) | 9 (14.8%) | 12 (16.2%) | 0.555 |
| Puerperal infection | 21 (6.7%) | 2 (3.3%) | 2 (2.7%) | 0.281 |
| Premature birth | 45 (14.4%) | 4 (6.6%) | 4 (5.4%) | 0.038 |
| Malformations | 3 (1.0%) | 0 (0.0%) | 1 (1.4%) | 0.690 |
| NRDS | 16 (5.1%) | 2 (3.3%) | 2 (2.7%) | 0.592 |
| Birth weight | 0.037 | |||
| <1500 g | 13 (4.2%) | 1 (1.6%) | 1 (1.4%) | |
| 1500–2500 g | 41 (13.1%) | 3 (4.9%) | 3 (4.1%) | |
| >2500 g | 259 (82.7%) | 57 (93.4%) | 70 (94.6%) | |
| APGAR score | 0.033 | |||
| ≥9 | 238 (76.0%) | 54 (88.5%) | 66 (89.2%) | |
| 7–8 | 57 (18.2%) | 4 (6.6%) | 6 (8.1%) | |
| ≤6 | 18 (5.8%) | 3 (4.9%) | 2 (2.7%) | |
| Days since COVID-19 diagnosis | 0.898 | |||
| <90 days | 131 (41.9%) | 24 (39.3%) | 42 (43.2%) | |
| ≥90 days | 182 (58.1%) | 37 (60.7%) | 42 (56.8%) | |
| SARS-CoV-2 anti-RBD (U/mL) | 0.044 | |||
| <500 | 197 (62.9%) | 30 (49.2%) | 38 (51.4%) | |
| ≥500 | 116 (37.1%) | 31 (50.8%) | 36 (48.6%) |
* Data presented as n (frequency) unless otherwise specified; ** excluding renal illness, autoimmune disease, and diabetes mellitus; BMI—Body Mass Index; APGAR—Appearance, Pulse, Grimace, Activity, and Respiration; NRDS—Neonatal Respiratory Distress Syndrome.
Figure 1Box-plot of newborn birth weight from mothers with COVID-19 during pregnancy, stratified by nutritional supplementation with magnesium-based supplements and magnesium dose. Data analyzed by Kruskal–Wallis test.
Figure 2Box-plot of maternal immune response after SARS-CoV-2 infection clearance, measured during labor and stratified by nutritional supplementation with magnesium-based supplements and magnesium dose. Data analyzed by Kruskal–Wallis test.
Analysis of risk factors for weak immune response (<500 SARS-CoV-2 anti-RBD) of pregnant women based on micronutrient supplementation during pregnancy.
| No Supplementation | Magnesium | |||
|---|---|---|---|---|
| Age | ||||
| <25 ^ | 0.91 (0.72–1.10) | 0.572 | 0.84 (0.60–1.13) | 0.662 |
| 25–34 | 0.99 (0.76–1.24) | 0.384 | 0.92 (0.84–1.27) | 0.513 |
| >34 | 1.12 (1.01–1.38) | 0.047 | 1.04 (0.82–1.21) | 0.296 |
| Obesity | ||||
| No ^ | 0.94 (0.63–1.48) | 0.316 | 0.88 (0.36–1.44) | 0.581 |
| Yes | 1.56 (1.28–2.34) | 0.011 | 1.42 (1.05–1.93) | 0.040 |
| Duration of supplementation | ||||
| <9 months | 1.18 (0.78–1.69) | 0.427 | 1.04 (0.75–1.28) | 0.338 |
| ≥9 months ^ | 1.01 (0.83–1.26) | 0.290 | 0.92 (0.81–1.05) | 0.194 |
| Vitamin D supplementation | ||||
| No | 1.17 (0.91–1.32) | 0.522 | 1.01 (0.88–1.39) | 0.194 |
| Yes ^ | 0.85 (0.36–1.16) | 0.314 | 0.76 (0.62–0.92) | 0.086 |
| COVID-19 severity | ||||
| Mild ^ | 1.33 (1.02–0.78) | 0.071 | 1.24 (1.09–1.76) | 0.142 |
| Moderate | 1.13 (0.93–1.42) | 0.461 | 1.05 (0.83–1.41) | 0.510 |
| Severe | 0.86 (0.72–0.98) | 0.283 | 0.82 (0.69–1.05) | 0.308 |
| Days since COVID-19 clearance | ||||
| <90 days ^ | 1.10 (0.99–0.48) | 0.308 | 0.99 (0.72–0.98) | 0.416 |
| ≥90 days | 1.62 (1.24–2.15) | 0.001 | 1.27 (1.04–1.82) | 0.008 |
| Magnesium dose | ||||
| <450 mg ^ | - | - | 1.25 (1.08–1.66) | 0.003 |
| ≥450 mg | - | - | 0.98 (0.63–1.17) | 0.372 |
^ Reference category.