| Abstract |
The disease of COVID - 19 most often manifests with symptoms of the respiratory system,
which can range from moderate to severe and life-threatening acute respiratory distress, in the
form of acute respiratory distress syndrome (ARDS). Infection with SARS - CoV - 2 may also
damage the function of the gastrointestinal tract, liver and pancreas, resulting in
gastrointestinal problems. In addition, SARS – CoV - 2 has been linked to central and peripheral
neurological problems, as well as cardiovascular and renal failure. According to epidemiological
research, cancer patients are more likely to be infected by the SARS - CoV - 2 virus. Given the
variety of clinical symptoms associated with COVID - 19, the aim of the present study was to
outline the etiology of possible side effects in function with the medical history of previously
healthy people, but also of people with deficiencies in vitamins and trace elements, bad habits
(smoking), chronic diseases, but also of people with co-morbidities, aiming at a possible
relationship between their individual history, the possible side effects after each vaccination
dose, but also after disease among SARS – CoV – 2 vaccinated individuals, investigating the
possibility of association between possible side effects in previously healthy individuals as well
as in individuals with comorbidities, in relation to the levels of antibodies they developed and subsequent follow-up of their downward course. The detection method to assess IgG antibody
titers used to analyze the sera of vaccinated subjects who have received two doses of the
BNT162b2 COVID - 19 mRNA vaccine was the semi - quantitative ELISA. The study involved 101
people, aged 25 to 83 years, who were all fully vaccinated with two doses of Pfizer's SARS -
COVID - 19 vaccine, with a mean age of the sample group of 49.0 ± 11,6 years. Deficiencies in
the studied vitamins and minerals do not seem to affect antibody levels against SARS – COV -
2. The linear relationship connecting antibody levels as a function of time (in days) is: [ Antibody
levels ] =7.695 - 0.050 [time distance]. Regarding the effect of demographic and somatometric
parameters on the levels of COVID-19 antibodies, there appears to be a statistically significant
negative correlation with antibody levels and age ( r = - 0.277, p = 0.005 ). Also, regarding the
age groups divided by 10 years, a decreasing drop in levels is observed from 5.82 ± 2.86 for the
age < 30, while 2.16 ± 1.50 for the age > 60 with a level of statistical significance p = 0.010.
Finally, the remaining studied variables, such as gender ( p = 0.343 ), body type ( p= 0.083 ) and
systematic smoking ( p = 0.613 ) do not seem to affect the levels of antibodies against SARS -
COV - 2.
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