{"doi":"10.1164/rccm.202310-1760ed","title":"Bad Neighbors or Bad Neighborhoods: Pathogenic Residency of T Cells in Chronic Obstructive Pulmonary Disease","abstract":"will provide a framework on which to develop new therapeutic interventions, build future multicenter trials, and help ensure the reliability of results.Moreover, the study presents a paradigm shift in our understanding of the significance of certain chronically infecting pathogens.Thus far, Pseudomonas has received the most attention for its role in influencing bronchiectasis disease severity (10, 11).Choi and colleagues (7) revealed a high abundance of Haemophilus in the clusters that manifested the highest rate ratio of exacerbations and in which microbial diversity was lowest.Thus, they have demonstrated that exacerbation risk is more accurately predicted by the combined inflammatory-microbial profile rather than an isolated airway microbe.In addition, they have provided a sophisticated guide for developing clinically available biomarkers that may be used to identify at-risk patients more accurately than identifying patients by microbial profiles alone.Hopefully, Choi and colleagues (7) will continue to build on this work by expanding their research to include additional validation cohorts in more diverse geographic locations and by analyzing the cluster behavior during clinical events, such as exacerbations.Regardless, Choi and colleagues have taken phenotyping of bronchiectasis patients to a higher level.By integrating the inflammatory and microbiome profiles, they have ushered in a new era of classifying patients with bronchiectasis, \"precision endotyping,\" and created a pathway to provide patients with bronchiectasis with precision medicine.","journal":"American Journal of Respiratory and Critical Care Medicine","year":2023,"id":377821,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9482,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":555865,"name":"Tien Peng","orcid":"0000-0002-2226-4635","position":0,"is_corresponding":true}],"reference_count":15,"raw_metadata":null,"created_at":"2026-07-19T01:16:40.346877Z","pmid":"37855741","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}