<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Musisi E</submitter><funding>Bundesministerium für Bildung und Forschung</funding><funding>European &amp; Developing Countries Clinical Trials Partnership (EDCTP)</funding><funding>Medical Research Council</funding><pagination>e913-e922</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7617392</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>4(11)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Respiratory tract microbiota has been described as the gatekeeper for respiratory health. We aimed to assess the impact of standard-of-care and experimental anti-tuberculosis treatment regimens on the respiratory microbiome and implications for treatment outcomes.&lt;h4>Methods&lt;/h4>In this retrospective study, we analysed the sputum microbiome of participants with tuberculosis treated with six experimental regimens versus standard-of-care who were part of the HIGHRIF study 2 (NCT00760149) and PanACEA MAMS-TB (NCT01785186) clinical trials across a 3-month treatment follow-up period. Samples were from participants in Mbeya, Kilimanjaro, Bagamoyo, and Dar es Salaam, Tanzania. Experimental regimens were composed of different combinations of rifampicin (R), isoniazid (H), pyrazi</pubmed_abstract><journal>The Lancet. Microbe</journal><pubmed_title>Effect of seven anti-tuberculosis treatment regimens on sputum microbiome: a retrospective analysis of the HIGHRIF study 2 and PanACEA MAMS-TB clinical trials.</pubmed_title><pmcid>PMC7617392</pmcid><funding_grant_id>IP.2007·32011·013</funding_grant_id><funding_grant_id>MC_UU_00004/04</funding_grant_id><funding_grant_id>MC_UU_12023/27</funding_grant_id><funding_grant_id>IP.2007·32011·011</funding_grant_id><funding_grant_id>01KA0901</funding_grant_id><pubmed_authors>Kibiki GS</pubmed_authors><pubmed_authors>Adegbite BR</pubmed_authors><pubmed_authors>Reither K</pubmed_authors><pubmed_authors>Hoelscher M</pubmed_authors><pubmed_authors>Sanne I</pubmed_authors><pubmed_authors>Sabiiti W</pubmed_authors><pubmed_authors>Nunn AJ</pubmed_authors><pubmed_authors>Adegnika AA</pubmed_authors><pubmed_authors>Massango I</pubmed_authors><pubmed_authors>Brake LT</pubmed_authors><pubmed_authors>Sam N</pubmed_authors><pubmed_authors>Boeree M</pubmed_authors><pubmed_authors>Grobusch MP</pubmed_authors><pubmed_authors>Twabi HH</pubmed_authors><pubmed_authors>Sloan D</pubmed_authors><pubmed_authors>Rassool M</pubmed_authors><pubmed_authors>Manyama C</pubmed_authors><pubmed_authors>Hunt R</pubmed_authors><pubmed_authors>PanACEA consortium</pubmed_authors><pubmed_authors>Jani I</pubmed_authors><pubmed_authors>Diacon A</pubmed_authors><pubmed_authors>Dawson R</pubmed_authors><pubmed_authors>Nliwasa M</pubmed_authors><pubmed_authors>Hoffmann L</pubmed_authors><pubmed_authors>Musisi E</pubmed_authors><pubmed_authors>de Jager V</pubmed_authors><pubmed_authors>Mbeya B</pubmed_authors><pubmed_authors>Lutchmun W</pubmed_authors><pubmed_authors>Sabi I</pubmed_authors><pubmed_authors>Liyoyo A</pubmed_authors><pubmed_authors>Narunsky K</pubmed_authors><pubmed_authors>Mpagama S</pubmed_authors><pubmed_authors>Khosa C</pubmed_authors><pubmed_authors>Mtafya B</pubmed_authors><pubmed_authors>Demel PG</pubmed_authors><pubmed_authors>Semvua H</pubmed_authors><pubmed_authors>Mhimbira F</pubmed_authors><pubmed_authors>Honeyborne I</pubmed_authors><pubmed_authors>Norena I</pubmed_authors><pubmed_authors>Eldirdiri S</pubmed_authors><pubmed_authors>Gong X</pubmed_authors><pubmed_authors>Ssengooba W</pubmed_authors><pubmed_authors>Mangu C</pubmed_authors><pubmed_authors>Jugheli L</pubmed_authors><pubmed_authors>Mmbaga BT</pubmed_authors><pubmed_authors>Kelly A</pubmed_authors><pubmed_authors>Dreisbach J</pubmed_authors><pubmed_authors>Ntinginya NE</pubmed_authors><pubmed_authors>Joloba M</pubmed_authors><pubmed_authors>Gillespie S</pubmed_authors><pubmed_authors>Gillespie SH</pubmed_authors><pubmed_authors>Kirenga B</pubmed_authors><pubmed_authors>McHugh TD</pubmed_authors><pubmed_authors>Heinrich N</pubmed_authors><pubmed_authors>Aarnoutse R</pubmed_authors><pubmed_authors>Wyness A</pubmed_authors><pubmed_authors>Msefula CL</pubmed_authors><pubmed_authors>Dombay E</pubmed_authors><pubmed_authors>Sasamalo M</pubmed_authors><pubmed_authors>Svensson E</pubmed_authors><pubmed_authors>Mukoka M</pubmed_authors><pubmed_authors>Friedrich S</pubmed_authors><pubmed_authors>Wildner LM</pubmed_authors><pubmed_authors>Phillips PPJ</pubmed_authors><pubmed_authors>Minja LT</pubmed_authors><pubmed_authors>Azam K</pubmed_authors></additional><is_claimable>false</is_claimable><name>Effect of seven anti-tuberculosis treatment regimens on sputum microbiome: a retrospective analysis of the HIGHRIF study 2 and PanACEA MAMS-TB clinical trials.</name><description>&lt;h4>Background&lt;/h4>Respiratory tract microbiota has been described as the gatekeeper for respiratory health. We aimed to assess the impact of standard-of-care and experimental anti-tuberculosis treatment regimens on the respiratory microbiome and implications for treatment outcomes.&lt;h4>Methods&lt;/h4>In this retrospective study, we analysed the sputum microbiome of participants with tuberculosis treated with six experimental regimens versus standard-of-care who were part of the HIGHRIF study 2 (NCT00760149) and PanACEA MAMS-TB (NCT01785186) clinical trials across a 3-month treatment follow-up period. Samples were from participants in Mbeya, Kilimanjaro, Bagamoyo, and Dar es Salaam, Tanzania. Experimental regimens were composed of different combinations of rifampicin (R), isoniazid (H), pyrazi</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Nov</publication><modification>2026-06-01T19:21:39.963Z</modification><creation>2025-04-06T22:25:40.71Z</creation></dates><accession>S-EPMC7617392</accession><cross_references><pubmed>37832571</pubmed><doi>10.1016/S2666-5247(23)00191-X</doi></cross_references></HashMap>