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Anti- SARS-CoV-2 IgG and IgM Levels in Iraqi General Population

2023· article· en· W4387661375 on OpenAlexaboutno aff
Amina Hamed Alobaidi, Hussein Inam Mustafa, Ahmed Mutar Salih, Abdulghani Mohamed Alsamarai

Bibliographic record

VenueAnti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry · 2023
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
Fundersnot available
KeywordsAntibodyPopulationMedicineImmunologyImmunoassayImmunityImmune systemInternal medicineBiologyEnvironmental health

Abstract

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BACKGROUND: Acquired immunity plays an important role in the prevention of viral infections. SARS-CoV-2 is an infection that leads to a pandemic. The development of specific anti-SARSCoV- 2 antibodies may play a vital role in disease prevention and control. Thus IgG antibody screening in the general population provides information on the immunological status of the community. AIM: To clarify the SARS-CoV-2 immune status in the general population. METHODS: A cross-sectional study was conducted in Kirkuk province during the period from 15 May 2022 to 11 September 2022. The samples were collected from voluntary subjects and informed consent was taken from each participant before their enrolment in the study. SARS-CoV-2 IgG, SARSCoV- 2 IgM, 25-OH Vitamin D, Vitamin B12, and Folate were determined using the Electrochemiluminescence Immunoassay (eCLIA) technique with the instrument NIPIGON-Robot R1Automated ECL Analyzer (Canada). RESULTS: The overall IgG mean concentration was 37.75 ± 23.18 COI, with a median of 39.99 COI and a range of 0.25 - 87.23 COI. Additionally, 93% of tested samples were with concentrations of more than 1 COI. The highest frequency (18.2%) was for the IgG concentration of 51 to 60 COI, while the lowest frequency (1.3%) was for the concentration of 81 - 90 COI. The IgG was significantly higher (P = 0.046) in males (39.87 ± 24.04 COI) than that in females (35.12 ± 21.89 COI). The IgM overall concentration was 0.569 ± 0.456 COI, with a median of 0.489 COI and a range of 0.17 - 6.40 COI. The mean serum level of folic acid concentration was 9.03 ± 5.72 ng/ml, with a median of 7.476 ng/ml and a range of 0.60 - 20.00 ng/ml. The mean serum concentration of vitamin B12 was 462.65 ± 349.18 pg/ml, with a median of 353 pg/ml and a range of 13.05 - 2000 pg/ml. The mean serum concentration of vitamin D was 18.29 ± 18.42 ng/ml with a median of 12.44 ng/ml and a range of 3 - 100 ng/ml. IgG and IgM serum levels did not show a significant correlation with serum levels of folic acid, vitamin D, and vitamin B12. However, there was a significant correlation between folic acid and vitamin D (r = 0.197; P = 0.012); vitamin B12 and vitamin D (r = 0.253, P = 0.001). While there was a non-significant correlation between folic acid and vitamin D serum levels (r = 0.129, P = 0.10). CONCLUSION: General population IgG antibody concentration reflects a high rate of herd immunity. Folic acid was with a mean value of about half of the upper normal limit and only 17.7% were with low values. Vitamin B12, only 6.3% of the population had values lower than normal. However, the range of vitamin B12 was wide. While vitamin D values were lower than the normal limit at 82.6%. However, a large scale well designed was warranted to evaluate COVID-19 national immune response.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.357
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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