Does vitamin D deficiency increase the risk of SARS-CoV-2 infections?

Vitamin D plays a regulatory part in both innate and adaptive immunity. Vitamin D3 (cholecalciferol)…

Does vitamin D deficiency increase the risk of SARS-CoV-2 infections?

Vitamin D plays a regulatory part in both innate and adaptive immunity. Vitamin D3 (cholecalciferol) deficiency has been identified to boost the threat of bacterial infections, and in bacterial sepsis, vitamin D deficiency effects in acute respiratory distress syndrome (ARDS).

Considering that ARDS is common in coronavirus ailment 2019 (COVID-19), it is important to look into the role of vitamin D in extreme acute respiratory syndrome coronavirus 2 (SARS-CoV-2) an infection and whether or not its deficiency boosts the danger of an infection.

A current examine posted to the medRxiv* preprint server tried to fully grasp the connection concerning vitamin D amounts and COVID-19 by finding out a population of British isles health care workers who exhibited indicators for COVID-19.

Does vitamin D deficiency increase the risk of SARS-CoV-2 infections?

How was the examine executed?

The examine subjects for this existing observational research ended up recruited from the College Medical center Birmingham NHS Foundation Have confidence in (UHBFT) concerning 12 to 22 of May 2020. This examine was section of the COVID-19 convalescent immunity (COCO) analyze. The inclusion standards for the cohorts in the study were being users of the staff exhibiting indicators of COVID-19.

Demographic aspects like age, intercourse, race and ethnicity had been attained from the examine contributors. Blood samples were collected from the participants to ascertain the SARS-CoV-2 antibody and vitamin D amounts.

Anti-SARS-CoV-2 spike glycoprotein antibodies ended up measured by suggests of a combined IgG, IgA, and IgM ELISA. Vitamin D status was identified applying mass spectrometry measurement of 25(OH)D3 levels which had been described as nmol/L. The calculated vitamin D amounts had been stratified into a few types: Intense vitamin D deficiency when levels have been < 30 nmol/L, vitamin D deficiency when levels were between 30 nmol/L and 50 nmol/L, vitamin D insufficiency when levels were between 50 nmol/L and 75 nmol/L, vitamin D sufficiency when levels were ≥75 nmol/L.

The study had 379 participants, of which 282 were females, 274 belonged to white ethnicity, 233 had no associated comorbidities. The median age of the study population was 42 years, and median BMI was 25.9 and the median vitamin D levels were 55.4 nmol/L.

A U-shaped curve represents the relationship between vitamin D levels and SARS-CoV-2 seropositivity rate

The vitamin D levels amongst the study population were measured and showed that 15.8 {6654ab549aea683dfb163c18f2e935eca578ab77e61967d7a8b1932c06e74d91} had a severe deficiency, 25.9{6654ab549aea683dfb163c18f2e935eca578ab77e61967d7a8b1932c06e74d91} had a deficiency, 39.8{6654ab549aea683dfb163c18f2e935eca578ab77e61967d7a8b1932c06e74d91} had insufficiency, 18.5{6654ab549aea683dfb163c18f2e935eca578ab77e61967d7a8b1932c06e74d91} had sufficient levels of vitamin D.

The relationship between seropositivity and vitamin D levels exhibited as a U-shaped curve where SARS-CoV-2 seropositivity rate increased with a decrease in vitamin D levels at values below 80 nmol/L and then increased with increasing levels of vitamin D beyond 80nmol/L. A plateau was observed between 80 and 100 nmol/L. This trend was also observed amongst the cohort subgroups.

SARS-CoV-2 seropositivity rate against serum VD levels by (A) Total, (B) Age group, (C) Ethnicity, (D) Sex, (E) BMI, and (F) Presence of Comorbidities. Seropositivity rate is defined as the number of SARS-CoV-2 positive cases, divided by the total number of cases. The data is represented by a weighted second-order polynomial regression smooth line. The line equation and the R2 value is placed beside each corresponding line. *VD = Vitamin D, BMI = Body Mass Index, BAME = Black, Asian and Minority Ethnic.

SARS-CoV-2 seropositivity rate against serum VD levels by (A) Total, (B) Age group, (C) Ethnicity, (D) Sex, (E) BMI, and (F) Presence of Comorbidities. Seropositivity rate is defined as the number of SARS-CoV-2 positive cases, divided by the total number of cases. The data is represented by a weighted second-order polynomial regression smooth line. The line equation and the R2 value is placed beside each corresponding line. *VD = Vitamin D, BMI = Body Mass Index, BAME = Black, Asian and Minority Ethnic.

54.9{6654ab549aea683dfb163c18f2e935eca578ab77e61967d7a8b1932c06e74d91} of the participants were positive for anti-SARS-CoV-2 spike glycoprotein antibodies. The median vitamin D levels of the COVID-19 seropositive and seronegative groups were not significantly different.

Interestingly, it was observed that the COVID-19 seropositive group had more participants with severely deficient vitamin D when compared to the seronegative population. SARS-CoV-2 seropositivity was highest at 73.3 {6654ab549aea683dfb163c18f2e935eca578ab77e61967d7a8b1932c06e74d91} in the severely deficient vitamin D group when compared to the deficient, insufficient, and sufficient groups.

Association of vitamin D levels and SARS-CoV-2 seropositivity in subgroups stratified based on age, ethnicity, sex, BMI and comorbidities

In both the age subgroups of < 50 and ≥ 50, differences in SARS-CoV-2 seropositivity were similar between the severely deficient and deficient vitamin D categories.

Proportion of subgroup population by VD category. Each bar represents the proportion of the specific group which are VD deficient and severely VD deficient. Comparisons are made between the two subgroups to determine whether there is a significant difference in the proportion of the subgroup which is in the VD category. Ns = P >.05, *= P ≤.05, and ****= P <0.00001. $VD = Vitamin D, BMI = Body Mass Index, BAME = Black, Asian and Minority Ethnic.

Proportion of subgroup population by VD category. Each bar represents the proportion of the specific group which are VD deficient and severely VD deficient. Comparisons are made between the two subgroups to determine whether there is a significant difference in the proportion of the subgroup which is in the VD category. Ns = P>.05, *= P ≤.05, and ****= P <0.00001. $VD = Vitamin D, BMI = Body Mass Index, BAME = Black, Asian and Minority Ethnic.

In the < 50 age subgroup, a significant difference in seropositivity was observed only among the severely deficient and insufficient vitamin D levels.

In the Black, Asian and Ethnic minority (BAME) ethnicity subgroups, there was an increase in SARS-CoV-2 seropositivity rate with an increase in vitamin D levels from 80 -90 nmol/L, with a greater increase in rate observed in the BAME group.

In both men and women, there was observed a significant decline in seropositivity between the severely deficient and deficient vitamin D level categories.

In men, a significant difference in seropositivity was seen between the severely deficient and insufficient vitamin D categories and between the severely deficient and sufficient categories.

It was also interesting to find that the seropositivity rate in men plateaued at a lower vitamin D level of approximately 80 nmol/L when compared to women whose rate plateaued at approximately 100 nmol/L.

The change in seropositivity rate was similar in both the BMI subgroups of ≥ 30 kg/m2 and < 30 kg/m2, with the rates declining up to 80 nmol/L vitamin D levels. In the < 30 kg/m2 BMI sub-group, a significant reduction in the seropositivity levels was observed when comparing the severely deficient category with the deficient or insufficient category.

A significant reduction in seropositivity was observed in the severely deficient and deficient categories in the ‘no comorbidity’ sub-group. The largest difference in seropositivity was observed in the ‘no comorbidity’ (44.1{6654ab549aea683dfb163c18f2e935eca578ab77e61967d7a8b1932c06e74d91}) and +1 comorbidity (60.2{6654ab549aea683dfb163c18f2e935eca578ab77e61967d7a8b1932c06e74d91}) subgroups amongst the insufficient vitamin D level category.

Relative proportions of paired subgroups within VD categories. Statistical comparisons in the proportions between VD categories is detailed in Table 4. VD category numbers:

Relative proportions of paired subgroups within VD categories. Statistical comparisons in the proportions between VD categories is detailed in Table 4. VD category numbers: 1=Severe deficiency, 2=Deficiency, 3=Insufficiency, 4=Sufficiency. *VD = Vitamin D, BMI = Body Mass Index, BAME = Black, Asian and Minority Ethnic.

Identification of subgroups prone to severe vitamin D deficiency

The impact of age on vitamin D levels was assessed. In the severely deficient category, the proportion of individuals who are ≥ 50 years of age are less than those in the < 50 years of age.  Individuals who are < 50 years of age are more likely to be in the vitamin D deficient category than in the sufficient category.

A significantly more significant proportion of individuals in the BAME group (40{6654ab549aea683dfb163c18f2e935eca578ab77e61967d7a8b1932c06e74d91}) constituted the severely deficient vitamin D category when compared to the white ethnic group (6.6{6654ab549aea683dfb163c18f2e935eca578ab77e61967d7a8b1932c06e74d91}). The individuals in the BAME subgroup are more likely to belong to the severe vitamin D deficient category than the deficient category.

There was no significant difference in the proportion of males and females in the severely deficient vitamin D and deficient category. There was a closely substantial difference only in the severely deficient and sufficient categories, with more females than males in both categories.

In the severe vitamin D deficient category there was no significant difference in the proportion of individuals belonging to the BMI ≥ 30 kg/m2 versus the BMI < 30 kg/m2 subgroups. In the vitamin D deficient and sufficient categories a significant difference was observed in the proportion of individuals. The proportion being more in the BMI < 30 kg/m2 compared to BMI ≥ 30 kg/m2 sub group in both categories.

The proportion of individuals in the vitamin D deficient category was significantly higher in the 0 comorbidity subgroup when compared to the 1 + comorbidity group. Amongst individuals in both the comorbidity groups, the proportion of individuals in the vitamin D deficient category was higher than in the severely deficient category. A significant difference in proportions was observed between the vitamin D insufficient category and deficient category and the deficient and sufficient category.

Limitations of the study

The study had numerous limitations. First, multiple ethnicities were aggregated into the single BAME group, so further subcategorization of ethnicities was not investigated.

There may be a possibility of seasonal variation in vitamin D levels though participants were all recruited in May to reduce the effect of seasonal variation. In addition, the disease severity was not considered, which may affect the interpretation of results.

Conclusion

The present study generated a U-shaped curve to represent the relationship between vitamin D levels and SARS-CoV-2 seropositivity in UK health care workers. The observed increased seropositivity at both ends of the vitamin D level spectrum should be investigated further. Future studies are required to identify the optimum vitamin D levels that will positively affect SARS-CoV-2 infection susceptibility.

*Important notice

medRxiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behaviour, or treated as established information.