| Literature DB >> 35885629 |
Othman R Alzahrani1,2, Abdullah D Alanazi3, Lauri Kareinen4,5, Yousef M Hawsawi6,7, Hani A Alhadrami8,9, Asim A Khogeer10, Hanan E Alatwi1,2, Amnah A Alharbi2,11, Tarja Sironen4,5, Olli Vapalahti4,5,12, Jussi Hepojoki4,13, Fathiah Zakham4,5,14.
Abstract
Makkah in Saudi Arabia hosts the largest annual religious event in the world. Despite the many strict rules enacted, including Hajj cancellation, city lockdowns, and social distancing, the region has the second highest number of new COVID-19 cases in Saudi Arabia. Public health interventions that identify, isolate, and manage new cases could slow the infection rate. While RT-PCR is the current gold standard in SARS-CoV-2 identification, it yields false positive and negative results, which mandates the use of complementary serological tests. Here, we report the utility of serological assays during the acute phase of individuals with moderate and severe clinical manifestations of SARS-CoV-2 (COVID19). Fifty participants with positive RT-PCR results for SARS-CoV-2 were enrolled in this study. Following RT-PCR diagnosis, serum samples from the same participants were analyzed using in-house ELISA (IgM, IgA, and IgG) and microneutralization test (MNT) for the presence of antibodies. Of the 50 individuals analyzed, 43 (86%) showed a neutralizing antibody titer of ≥20. Univariate analysis with neutralizing antibodies as a dependent variable and the degree of disease severity and underlying medical conditions as fixed factors revealed that patients with no previous history of non-communicable diseases and moderate clinical manifestation had the strongest neutralizing antibody response "Mean: 561.11". Participants with severe symptoms and other underlying disorders, including deceased individuals, demonstrated the lowest neutralizing antibody response. Anti-spike protein antibody responses, as measured by ELISA, showed a statistically significant correlation with neutralizing antibodies. This reinforces the speculation that serological assays complement molecular testing for diagnostics; however, patients' previous medical history (anamnesis) should be considered in interpreting serological results.Entities:
Keywords: ELISA; IgA; IgG ELISA; IgM; Makkah; SARS-CoV-2; Saudi Arabia; micro-neutralization assay
Year: 2022 PMID: 35885629 PMCID: PMC9318194 DOI: 10.3390/diagnostics12071725
Source DB: PubMed Journal: Diagnostics (Basel) ISSN: 2075-4418
Demographic and clinical characteristics of participants in Makkah.
| Characteristics | Number and Percentage |
|---|---|
| Demographic data | |
| Age range | |
| ≤20 | 2 (4.0%) |
| 21–30 | 4 (8.0%) |
| 31–40 | 9 (18.0%) |
| 41–50 | 8 (16.0%) |
| 51–60 | 11 (22.0%) |
| ≥61 | 16 (32.0%) |
| Sex | |
| Male | 44 (88.0%) |
| Female | 6 (12.0%) |
| Origin | |
| Saudi | 13 (26.0%) |
| non-Saudi | 37 (74.0%) |
| Smoking | |
| Smoker | 22 (46.0%) |
| Nonsmoker | 27 (44.0%) |
| Not known | 1 (2.0%) |
| Outcome | |
| Died | 5 (10.0%) |
| Survived | 45 (90.0%) |
| Other underlying medical conditions | |
| Autoimmune diseases | 1 (2.0%) |
| Liver diseases | 2 (4.0%) |
| Malignancy | 1 (2.0%) |
| Kidney diseases | 3 (6.0%) |
| Cerbro-vascular diseases | 5 (10.0%) |
| Lung diseases | 3 (6.0%) |
| Cardiovascular diseases | 14 (28.0%) |
| Diabetes mellitus | 12 (24.0%) |
| Arterial Systematic Hypertension | 25 (50.0%) |
| Clinical manifestations | |
| Fever (>38.0 °C) | 10 (20%) |
| Headache | 6 (12%) |
| GIT symptoms (nausea, vomiting, diarrhea) | 7 (14%) |
| Sore throat | 6 (12%) |
| Nasal congestion | 6 (12%) |
| Runny nose | 2 (4%) |
| Cough (dry or productive) | 28 (56%) |
| Hemoptysis | 5 (10%) |
| Shortness of breath | 23 (46%) |
| Conjunctival congestion | 2 (4%) |
| Intubated individuals | 18 (36%) |
Figure 1Univariate analysis MN titers versus degree of severity and underlying diseases.
Figure 2(A) Plotting of MN titers versus ELISA IgM, IgA, and IgG values. (B) Pearson’s test matrix: p values 0.001, 0.009, and 0.003, respectively.
Figure 3Bubble plot MN titers versus IgM antibodies according to the degree of severity and underlying diseases status.