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Comparative Study
.2024 Aug 19:12:e17898.
doi: 10.7717/peerj.17898. eCollection 2024.

Biological factors associated with long COVID and comparative analysis of SARS-CoV-2 spike protein variants: a retrospective study in Thailand

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Comparative Study

Biological factors associated with long COVID and comparative analysis of SARS-CoV-2 spike protein variants: a retrospective study in Thailand

Supanchita Kiatratdasakul et al. PeerJ..

Abstract

Background: Post-acute COVID-19 syndrome (long COVID) refers to the persistence of COVID-19 symptoms or exceptional symptoms following recovery. Even without conferring fatality, it represents a significant global public health burden. Despite many reports on long COVID, the prevalence and data on associated biological factors remain unclear and limited. This research aimed to determine the prevalence of long COVID during the two distinct epidemic periods in Thailand, due to the Delta and Omicron variants of SARS-CoV-2, and to investigate the biological factors associated with long COVID. In addition, the spike protein amino acid sequences of the Delta and Omicron variants were compared to determine the frequency of mutations and their potential biological implications.

Methods: A retrospective cross-sectional study was established to recruit confirmed COVID-19 participants at Maharat Nakhon Ratchasima Hospital who had recovered for at least three months and were infected between June 2021 and August 2022. The demographic data and long COVID experience were collected via telephone interview. The biological factors were analyzed through binary logistic regression. The datasets of the SARS-CoV-2 spike protein amino acid sequence of the Delta and Omicron variants in Thailand were retrieved from GIDSAID to determine mutation frequencies and to identify possible roles of the mutations based on published data.

Results: Data was collected from a total of 247 participants comprising 106 and 141 participants of the Delta and Omicron epidemic periods, respectively. Apart from the COVID-19 severity and health status, the baseline participant data of the two time periods were remarkably similar. The prevalence of long COVID observed in the Omicron period was higher than in the Delta period (74.5%vs. 66.0%). The biological factors associated with long COVID were epidemic variant, age, treatment with symptomatic medicines, and vaccination status. When the spike protein sequence data of the two variants were compared, it was observed that the Omicron variant exhibited a greater quantity of amino acid changes in its receptor-binding domain (RBD) and receptor-binding motif (RBM). The critical changes of the Omicron variant within these regions had a significant function in enhancing virus transmissibility and host immune response resistance.

Conclusion: This study revealed informative data associated with long COVID in Thailand. More attention should be given to long COVID caused by unique virus variants and other biological factors to prepare a healthcare management strategy for COVID-19 patients after recovery.

Keywords: Biological factors; COVID-19; Long COVID; SARS-CoV-2; Spike protein; Thailand.

©2024 Kiatratdasakul et al.

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Conflict of interest statement

The authors declare there are no competing interests.

Figures

Figure 1
Figure 1. Flowchart of subject enrollment process and study subject groups.
Figure 2
Figure 2. Comparing percentage of individual’s experience of self-reported long COVID symptoms from study population in Delta and Omicron variant periods (totaln = 175).
Figure 3
Figure 3. Comparing number of accumulated mutations between Delta and Omicron variant isolates in S1 and S2 subunits of spike SARS-CoV-2.
SP, signal peptide; NTD, N-terminal domain; RBD, receptor-binding domain; RBM, receptor-binding motif; S1S2′, protease cleavage site between S1 and S2 subunits; FP, fusion peptide; S2′, protease cleavage site in S2 subunit; HR1, heptad repeat 1; HR2, heptad repeat 2; TMD, transmembrane domain; CD, cytoplasmic domain.
Figure 4
Figure 4. Comparing the percentage of frequency mutations between Delta and Omicron variant isolates in the S1 subunit of spike SARS-CoV-2.
(A) SP: signal peptide; (B) NTD: N-terminal domain; (C) RBD: receptor-binding domain; (D) RBM: receptor-binding motif; and (E) S1S2′: protease cleavage site between S1 and S2 subunits.
Figure 5
Figure 5. Comparing the percentage of frequency mutations between Delta and Omicron variant isolates in the S2 subunit of spike SARS-CoV-2.
(A) FP: fusion peptide, (B) S2′: protease cleavage site in S2 subunit, (C) HR1: heptad repeat 1, (D) HR2: heptad repeat 2, (E) TMD: transmembrane domain, and (F) CD: cytoplasmic domain.
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