Cargando…
Higher BCG‐induced trained immunity prevalence predicts protection from COVID‐19: Implications for ongoing BCG trials
Endeavors to identify potentially protective variables for COVID‐19 impact on certain populations have remained a priority. Multiple attempts have been made to attribute the reduced COVID‐19 impact on populations to their Bacillus–Calmette–Guérin (BCG) vaccination coverage ignoring the fact that the...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347530/ https://www.ncbi.nlm.nih.gov/pubmed/35938058 http://dx.doi.org/10.1002/ctd2.60 |
_version_ | 1784761860819517440 |
---|---|
author | Singh, Samer Kishore, Dhiraj Singh, Rakesh K. Pathak, Chandramani Ranjan, Kishu |
author_facet | Singh, Samer Kishore, Dhiraj Singh, Rakesh K. Pathak, Chandramani Ranjan, Kishu |
author_sort | Singh, Samer |
collection | PubMed |
description | Endeavors to identify potentially protective variables for COVID‐19 impact on certain populations have remained a priority. Multiple attempts have been made to attribute the reduced COVID‐19 impact on populations to their Bacillus–Calmette–Guérin (BCG) vaccination coverage ignoring the fact that the effect of childhood BCG vaccination wanes within 5 years while most of the COVID‐19 cases and deaths have occurred in aged with comorbidities. Since the supposed protection being investigated could come from heterologous ‘trained immunity’ (TI) conferred by exposure to Mycobacterium spp. (i.e., environmental and BCG), it is argued that the estimates of the prevalence of TI in populations currently available as latent tuberculosis infection (LTBI) prevalence would be a better variable to evaluate such assertions. Indeed, when we analyze the European populations (24), and erstwhile East and West Germany populations completely disregarding their BCG vaccination coverage, the populations with higher TI prevalence consistently display reduced COVID‐19 impact as compared to their lower TI prevalence neighbors. The TI estimates of the populations not the BCG coverage per se, negatively correlated with pandemic phase‐matched COVID‐19 incidences (r(24): −0.79 to −0.57; p‐value < .004), mortality (r(24): −0.63 to −0.45; p‐value < .03), and interim case fatality rates (i‐CFR) data. To decisively arrive at dependable conclusions about the potential protective benefit gained from BCG vaccination in COVID‐19, the ongoing or planned randomized controlled trials should consciously consider including measures of TI as: (a) all individuals immunized do not respond equally, (b) small study groups from higher background TI could fail to indicate any protective effect. |
format | Online Article Text |
id | pubmed-9347530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93475302022-08-03 Higher BCG‐induced trained immunity prevalence predicts protection from COVID‐19: Implications for ongoing BCG trials Singh, Samer Kishore, Dhiraj Singh, Rakesh K. Pathak, Chandramani Ranjan, Kishu Clin Transl Discov Short Communication Endeavors to identify potentially protective variables for COVID‐19 impact on certain populations have remained a priority. Multiple attempts have been made to attribute the reduced COVID‐19 impact on populations to their Bacillus–Calmette–Guérin (BCG) vaccination coverage ignoring the fact that the effect of childhood BCG vaccination wanes within 5 years while most of the COVID‐19 cases and deaths have occurred in aged with comorbidities. Since the supposed protection being investigated could come from heterologous ‘trained immunity’ (TI) conferred by exposure to Mycobacterium spp. (i.e., environmental and BCG), it is argued that the estimates of the prevalence of TI in populations currently available as latent tuberculosis infection (LTBI) prevalence would be a better variable to evaluate such assertions. Indeed, when we analyze the European populations (24), and erstwhile East and West Germany populations completely disregarding their BCG vaccination coverage, the populations with higher TI prevalence consistently display reduced COVID‐19 impact as compared to their lower TI prevalence neighbors. The TI estimates of the populations not the BCG coverage per se, negatively correlated with pandemic phase‐matched COVID‐19 incidences (r(24): −0.79 to −0.57; p‐value < .004), mortality (r(24): −0.63 to −0.45; p‐value < .03), and interim case fatality rates (i‐CFR) data. To decisively arrive at dependable conclusions about the potential protective benefit gained from BCG vaccination in COVID‐19, the ongoing or planned randomized controlled trials should consciously consider including measures of TI as: (a) all individuals immunized do not respond equally, (b) small study groups from higher background TI could fail to indicate any protective effect. John Wiley and Sons Inc. 2022-06-05 2022-06 /pmc/articles/PMC9347530/ /pubmed/35938058 http://dx.doi.org/10.1002/ctd2.60 Text en © 2022 The Authors. Clinical and Translational Discovery published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Short Communication Singh, Samer Kishore, Dhiraj Singh, Rakesh K. Pathak, Chandramani Ranjan, Kishu Higher BCG‐induced trained immunity prevalence predicts protection from COVID‐19: Implications for ongoing BCG trials |
title | Higher BCG‐induced trained immunity prevalence predicts protection from COVID‐19: Implications for ongoing BCG trials |
title_full | Higher BCG‐induced trained immunity prevalence predicts protection from COVID‐19: Implications for ongoing BCG trials |
title_fullStr | Higher BCG‐induced trained immunity prevalence predicts protection from COVID‐19: Implications for ongoing BCG trials |
title_full_unstemmed | Higher BCG‐induced trained immunity prevalence predicts protection from COVID‐19: Implications for ongoing BCG trials |
title_short | Higher BCG‐induced trained immunity prevalence predicts protection from COVID‐19: Implications for ongoing BCG trials |
title_sort | higher bcg‐induced trained immunity prevalence predicts protection from covid‐19: implications for ongoing bcg trials |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347530/ https://www.ncbi.nlm.nih.gov/pubmed/35938058 http://dx.doi.org/10.1002/ctd2.60 |
work_keys_str_mv | AT singhsamer higherbcginducedtrainedimmunityprevalencepredictsprotectionfromcovid19implicationsforongoingbcgtrials AT kishoredhiraj higherbcginducedtrainedimmunityprevalencepredictsprotectionfromcovid19implicationsforongoingbcgtrials AT singhrakeshk higherbcginducedtrainedimmunityprevalencepredictsprotectionfromcovid19implicationsforongoingbcgtrials AT pathakchandramani higherbcginducedtrainedimmunityprevalencepredictsprotectionfromcovid19implicationsforongoingbcgtrials AT ranjankishu higherbcginducedtrainedimmunityprevalencepredictsprotectionfromcovid19implicationsforongoingbcgtrials |