Molecular and Serological Characterization of the SARS-CoV-2 Delta Variant in Bangladesh in 2021
Novel SARS-CoV-2 variants are emerging at an alarming rate. The delta variant and other variants of concern (VoC) carry spike (S)-protein mutations, which have the potential to evade protective immunity, to trigger break-through infections after COVID-19 vaccination, and to propagate future waves of...
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Published in | Viruses Vol. 13; no. 11; p. 2310 |
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19.11.2021
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Abstract | Novel SARS-CoV-2 variants are emerging at an alarming rate. The delta variant and other variants of concern (VoC) carry spike (S)-protein mutations, which have the potential to evade protective immunity, to trigger break-through infections after COVID-19 vaccination, and to propagate future waves of COVID-19 pandemic. To identify SARS CoV-2 variants in Bangladesh, patients who are RT-PCR-positive for COVID-19 infections in Dhaka were screened by a RT-PCR melting curve analysis for spike protein mutations. To assess the anti-SARS CoV-2 antibody responses, the levels of the anti-S -proteins IgA and IgG and the anti-N-protein IgG were measured by ELISA. Of a total of 36 RT-PCR positive samples (75%), 27 were identified as delta variants, with one carrying an additional Q677H mutation and two with single nucleotide substitutions at position 23029 (compared to Wuhan-Hu-1 reference NC 045512) in the genome sequence. Three (8.3%) were identified as beta variants, two (5.5%) were identified as alpha variants, three (8.3%) were identified as having a B.1.1.318 lineage, and one sample was identified as an eta variant (B.1.525) carrying an additional V687L mutation. The trend of higher viral load (lower Cp values) among delta variants than in the alpha and beta variants was of borderline statistical significance (p = 0.045). Prospective studies with larger Bangladeshi cohorts are warranted to confirm the emergence of S-protein mutations and their association with antibody response in natural infection and potential breakthrough in vaccinated subjects. |
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AbstractList | Novel SARS-CoV-2 variants are emerging at an alarming rate. The delta variant and other variants of concern (VoC) carry spike (S)-protein mutations, which have the potential to evade protective immunity, to trigger break-through infections after COVID-19 vaccination, and to propagate future waves of COVID-19 pandemic. To identify SARS CoV-2 variants in Bangladesh, patients who are RT-PCR-positive for COVID-19 infections in Dhaka were screened by a RT-PCR melting curve analysis for spike protein mutations. To assess the anti-SARS CoV-2 antibody responses, the levels of the anti-S -proteins IgA and IgG and the anti-N-protein IgG were measured by ELISA. Of a total of 36 RT-PCR positive samples (75%), 27 were identified as delta variants, with one carrying an additional Q677H mutation and two with single nucleotide substitutions at position 23029 (compared to Wuhan-Hu-1 reference NC 045512) in the genome sequence. Three (8.3%) were identified as beta variants, two (5.5%) were identified as alpha variants, three (8.3%) were identified as having a B.1.1.318 lineage, and one sample was identified as an eta variant (B.1.525) carrying an additional V687L mutation. The trend of higher viral load (lower Cp values) among delta variants than in the alpha and beta variants was of borderline statistical significance (
p
= 0.045). Prospective studies with larger Bangladeshi cohorts are warranted to confirm the emergence of S-protein mutations and their association with antibody response in natural infection and potential breakthrough in vaccinated subjects. Novel SARS-CoV-2 variants are emerging at an alarming rate. The delta variant and other variants of concern (VoC) carry spike (S)-protein mutations, which have the potential to evade protective immunity, to trigger break-through infections after COVID-19 vaccination, and to propagate future waves of COVID-19 pandemic. To identify SARS CoV-2 variants in Bangladesh, patients who are RT-PCR-positive for COVID-19 infections in Dhaka were screened by a RT-PCR melting curve analysis for spike protein mutations. To assess the anti-SARS CoV-2 antibody responses, the levels of the anti-S -proteins IgA and IgG and the anti-N-protein IgG were measured by ELISA. Of a total of 36 RT-PCR positive samples (75%), 27 were identified as delta variants, with one carrying an additional Q677H mutation and two with single nucleotide substitutions at position 23029 (compared to Wuhan-Hu-1 reference NC 045512) in the genome sequence. Three (8.3%) were identified as beta variants, two (5.5%) were identified as alpha variants, three (8.3%) were identified as having a B.1.1.318 lineage, and one sample was identified as an eta variant (B.1.525) carrying an additional V687L mutation. The trend of higher viral load (lower Cp values) among delta variants than in the alpha and beta variants was of borderline statistical significance (p = 0.045). Prospective studies with larger Bangladeshi cohorts are warranted to confirm the emergence of S-protein mutations and their association with antibody response in natural infection and potential breakthrough in vaccinated subjects. Novel SARS-CoV-2 variants are emerging at an alarming rate. The delta variant and other variants of concern (VoC) carry spike (S)-protein mutations, which have the potential to evade protective immunity, to trigger break-through infections after COVID-19 vaccination, and to propagate future waves of COVID-19 pandemic. To identify SARS CoV-2 variants in Bangladesh, patients who are RT-PCR-positive for COVID-19 infections in Dhaka were screened by a RT-PCR melting curve analysis for spike protein mutations. To assess the anti-SARS CoV-2 antibody responses, the levels of the anti-S -proteins IgA and IgG and the anti-N-protein IgG were measured by ELISA. Of a total of 36 RT-PCR positive samples (75%), 27 were identified as delta variants, with one carrying an additional Q677H mutation and two with single nucleotide substitutions at position 23029 (compared to Wuhan-Hu-1 reference NC 045512) in the genome sequence. Three (8.3%) were identified as beta variants, two (5.5%) were identified as alpha variants, three (8.3%) were identified as having a B.1.1.318 lineage, and one sample was identified as an eta variant (B.1.525) carrying an additional V687L mutation. The trend of higher viral load (lower Cp values) among delta variants than in the alpha and beta variants was of borderline statistical significance (p = 0.045). Prospective studies with larger Bangladeshi cohorts are warranted to confirm the emergence of S-protein mutations and their association with antibody response in natural infection and potential breakthrough in vaccinated subjects.Novel SARS-CoV-2 variants are emerging at an alarming rate. The delta variant and other variants of concern (VoC) carry spike (S)-protein mutations, which have the potential to evade protective immunity, to trigger break-through infections after COVID-19 vaccination, and to propagate future waves of COVID-19 pandemic. To identify SARS CoV-2 variants in Bangladesh, patients who are RT-PCR-positive for COVID-19 infections in Dhaka were screened by a RT-PCR melting curve analysis for spike protein mutations. To assess the anti-SARS CoV-2 antibody responses, the levels of the anti-S -proteins IgA and IgG and the anti-N-protein IgG were measured by ELISA. Of a total of 36 RT-PCR positive samples (75%), 27 were identified as delta variants, with one carrying an additional Q677H mutation and two with single nucleotide substitutions at position 23029 (compared to Wuhan-Hu-1 reference NC 045512) in the genome sequence. Three (8.3%) were identified as beta variants, two (5.5%) were identified as alpha variants, three (8.3%) were identified as having a B.1.1.318 lineage, and one sample was identified as an eta variant (B.1.525) carrying an additional V687L mutation. The trend of higher viral load (lower Cp values) among delta variants than in the alpha and beta variants was of borderline statistical significance (p = 0.045). Prospective studies with larger Bangladeshi cohorts are warranted to confirm the emergence of S-protein mutations and their association with antibody response in natural infection and potential breakthrough in vaccinated subjects. |
Author | Sharif, Md. Mohiuddin Akram, Arifa Hosen, Nur Landt, Olfert Mamunur, Rashid Amin, Md. Robed Lytton, Simon D. Islam, Alimul Ratul, Rifat Hossain Kaiser, Marco Yeasmin, Mahmuda Ghosh, Asish Kumar Hoque, Md. Ehsanul Molla, Md. Maruf Ahmed Nafisa, Tasnim |
AuthorAffiliation | 7 SeraDiaLogistics, 81545 Munich, Germany 6 TIB Molbiol GmbH, Eresburgstraße 22-23, 12103 Berlin, Germany; OLandt@tib-molbiol.de 1 Department of Virology, Dhaka Medical College Hospital, Dhaka 1000, Bangladesh; asish127kumar@gmail.com (A.K.G.); dr.ratulrifat@gmail.com (R.H.R.); mohiuddinsharif@pircc.org (M.M.S.); robedamin@yahoo.com (M.R.A.) 4 Bangladesh Institute Tropical Infectious Disease (BITID), Fouzderhat, Chittagong 4317, Bangladesh; mamunurdr30@gmail.com 2 GenExpress Gesellschaft für Proteindesign GmbH, Eresburgstraße 22-23 D, 12103 Berlin, Germany; kaiser@genexpress.de 3 National Institute of Laboratory Medicine and Referral Center, Sher E-Bangla Nagar, Dhaka 1207, Bangladesh; maruf063@gmail.com (M.M.A.M.); nafisahf3@gmail.com (T.N.); shumi.yeasmin@gmail.com (M.Y.); drbarna43@gmail.com (A.A.); nurhosen568@gmail.com (N.H.); nilmrc@ld.dghs.gov.bd (M.E.H.) 5 Department of Microbiology and Hygiene, Faculty of Veterinary Science, Bangladesh Agricultural University, Mymensingh 2202, Bangl |
AuthorAffiliation_xml | – name: 5 Department of Microbiology and Hygiene, Faculty of Veterinary Science, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh; alimul.vmh@bau.edu.bd – name: 3 National Institute of Laboratory Medicine and Referral Center, Sher E-Bangla Nagar, Dhaka 1207, Bangladesh; maruf063@gmail.com (M.M.A.M.); nafisahf3@gmail.com (T.N.); shumi.yeasmin@gmail.com (M.Y.); drbarna43@gmail.com (A.A.); nurhosen568@gmail.com (N.H.); nilmrc@ld.dghs.gov.bd (M.E.H.) – name: 7 SeraDiaLogistics, 81545 Munich, Germany – name: 1 Department of Virology, Dhaka Medical College Hospital, Dhaka 1000, Bangladesh; asish127kumar@gmail.com (A.K.G.); dr.ratulrifat@gmail.com (R.H.R.); mohiuddinsharif@pircc.org (M.M.S.); robedamin@yahoo.com (M.R.A.) – name: 4 Bangladesh Institute Tropical Infectious Disease (BITID), Fouzderhat, Chittagong 4317, Bangladesh; mamunurdr30@gmail.com – name: 2 GenExpress Gesellschaft für Proteindesign GmbH, Eresburgstraße 22-23 D, 12103 Berlin, Germany; kaiser@genexpress.de – name: 6 TIB Molbiol GmbH, Eresburgstraße 22-23, 12103 Berlin, Germany; OLandt@tib-molbiol.de |
Author_xml | – sequence: 1 givenname: Asish Kumar orcidid: 0000-0001-5735-3606 surname: Ghosh fullname: Ghosh, Asish Kumar – sequence: 2 givenname: Marco surname: Kaiser fullname: Kaiser, Marco – sequence: 3 givenname: Md. Maruf Ahmed orcidid: 0000-0002-5062-9144 surname: Molla fullname: Molla, Md. Maruf Ahmed – sequence: 4 givenname: Tasnim surname: Nafisa fullname: Nafisa, Tasnim – sequence: 5 givenname: Mahmuda surname: Yeasmin fullname: Yeasmin, Mahmuda – sequence: 6 givenname: Rifat Hossain surname: Ratul fullname: Ratul, Rifat Hossain – sequence: 7 givenname: Md. Mohiuddin surname: Sharif fullname: Sharif, Md. Mohiuddin – sequence: 8 givenname: Arifa surname: Akram fullname: Akram, Arifa – sequence: 9 givenname: Nur surname: Hosen fullname: Hosen, Nur – sequence: 10 givenname: Rashid surname: Mamunur fullname: Mamunur, Rashid – sequence: 11 givenname: Md. Robed orcidid: 0000-0002-5500-5103 surname: Amin fullname: Amin, Md. Robed – sequence: 12 givenname: Alimul orcidid: 0000-0002-6186-8044 surname: Islam fullname: Islam, Alimul – sequence: 13 givenname: Md. Ehsanul surname: Hoque fullname: Hoque, Md. Ehsanul – sequence: 14 givenname: Olfert surname: Landt fullname: Landt, Olfert – sequence: 15 givenname: Simon D. orcidid: 0000-0001-5617-4139 surname: Lytton fullname: Lytton, Simon D. |
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CitedBy_id | crossref_primary_10_1128_jvi_01618_23 crossref_primary_10_1093_infdis_jiad320 crossref_primary_10_1177_02601060221124068 crossref_primary_10_3390_v16071077 crossref_primary_10_3390_vaccines10111959 crossref_primary_10_1016_j_heliyon_2024_e31011 crossref_primary_10_1038_s41598_023_34188_7 crossref_primary_10_1021_acsestwater_2c00103 crossref_primary_10_1631_jzus_B2200054 |
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Title | Molecular and Serological Characterization of the SARS-CoV-2 Delta Variant in Bangladesh in 2021 |
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