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. 2022 Dec 21;23:370. doi: 10.1186/s12931-022-02249-6

Correction: Saliva as a non‑invasive specimen for COPD assessment

Sara Melo‑Dias 1,2,3, Carla Valente 4, Lília Andrade 4, Alda Marques 2,3,#, Ana Sousa 1,3,✉,#
PMCID: PMC9769052  PMID: 36544218

Correction:  Respiratory Research (2022) 23:16 https://doi.org/10.1186/s12931-022-01935-9

Following the publication of the original article [1], it was noted that the Supplementary file 2 has been processed incorrectly.

The correct Additional file 2—supplementary methods been updated and included in this correction.

The original article has been corrected.

Supplementary Information

12931_2022_2249_MOESM1_ESM.docx (898.3KB, docx)

Additional file 2. Supplementary Methods. Supplementary table S2. Summary of clinical parameters distribution across Clusters I and II. Comparisons between clusters were conducted with Mann-Whitney U-test and chi-square test. Supplementary table S3. Summary table of significant logistic regression models established for both GOLD D and hospital admission, adjusted for Pack-years. Coefficients were represented in model equations. Supplementary figure S1. Salivary bacteria composition is different between patients with COPD and healthy controls. A) Bar-plot representing the differentially abundant genera between moderate patients with COPD and healthy controls inferred by LEfSe at a significance cut-off of 3. B) Bar-plot representing the differentially abundant genera between moderate patients with COPD and healthy controls inferred by LEfSe at a significance cut-off of 3. C) Bar-plot representing the differentially abundant genera between severe patients with COPD and healthy controls inferred by LEfSe at a significance cut-off of 3. A), B) and C) the differential OTUs inferred by ANCOM at 0.7 significance cut-off are represented in underlined. Supplementary figure S2. Salivary bacteria composition is different between the two clusters. Bar-plot representing the differentially abundant genera between cluster 1 and cluster 2 inferred by LEfSe at a significance cut-off of 3. The differential OTUs inferred by ANCOM are represented in underlined at 0.7 signofciance cut-off.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Alda Marques and Ana Sousa contributed equally to this study

Reference

  • 1.Melo-Dias S, Valente C, Andrade L, Marques A, Sousa A. Saliva as a non-invasive specimen for COPD assessment. Respir Res. 2022;23:16. doi: 10.1186/s12931-022-01935-9. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

12931_2022_2249_MOESM1_ESM.docx (898.3KB, docx)

Additional file 2. Supplementary Methods. Supplementary table S2. Summary of clinical parameters distribution across Clusters I and II. Comparisons between clusters were conducted with Mann-Whitney U-test and chi-square test. Supplementary table S3. Summary table of significant logistic regression models established for both GOLD D and hospital admission, adjusted for Pack-years. Coefficients were represented in model equations. Supplementary figure S1. Salivary bacteria composition is different between patients with COPD and healthy controls. A) Bar-plot representing the differentially abundant genera between moderate patients with COPD and healthy controls inferred by LEfSe at a significance cut-off of 3. B) Bar-plot representing the differentially abundant genera between moderate patients with COPD and healthy controls inferred by LEfSe at a significance cut-off of 3. C) Bar-plot representing the differentially abundant genera between severe patients with COPD and healthy controls inferred by LEfSe at a significance cut-off of 3. A), B) and C) the differential OTUs inferred by ANCOM at 0.7 significance cut-off are represented in underlined. Supplementary figure S2. Salivary bacteria composition is different between the two clusters. Bar-plot representing the differentially abundant genera between cluster 1 and cluster 2 inferred by LEfSe at a significance cut-off of 3. The differential OTUs inferred by ANCOM are represented in underlined at 0.7 signofciance cut-off.


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