1
|
Fernández-Barat L, Torres A. Microbiota Profiling in Endotracheal Aspirates: Are There Differences When Obtained Through Endotracheal Tubes or Tracheostomy Tubes? Chest 2024; 165:1284-1285. [PMID: 38852961 DOI: 10.1016/j.chest.2024.02.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 02/20/2024] [Indexed: 06/11/2024] Open
Affiliation(s)
- Laia Fernández-Barat
- Ciberes (CB06/06/0028)-Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain.
| | - Antoni Torres
- Ciberes (CB06/06/0028)-Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain; Respiratory and Intensive Care Unit, University of Barcelona, Hospital Clinic of Barcelona, Villarroel, Spain
| |
Collapse
|
2
|
Kim HY, Kim TH, Shin JH, Cho K, Ha HK, Lee A, Kim YJ. Navigating the microbial community in the trachea-oropharynx of breast cancer patients with or without neoadjuvant chemotherapy (NAC) via endotracheal tube: has NAC caused any change? PeerJ 2023; 11:e16366. [PMID: 38025669 PMCID: PMC10676715 DOI: 10.7717/peerj.16366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 10/06/2023] [Indexed: 12/01/2023] Open
Abstract
Background We compare the diversity and niche specificity of the microbiome in the trachea-oropharynx microbiome of malignant breast neoplasm with or without neoadjuvant chemotherapy (NAC) via NGS analysis. Methods We prospectively collected a total of 40 endotracheal tubes intubated from subjects, of whom 20 with NAC treated breast cancer (NAC group) and 20 with breast cancer without NAC (Non-NAC group). We generated 16S rRNA-based microbial profiles in IlluminaTM platform and alpha diversity indices were compared between groups. For the comparison of taxa abundance, linear discriminant analysis effect size method with Kruskal-Wallis test was used. The distribution of variables between the two groups was compared using the Mann-Whitney test. For beta diversity analysis, PERMANOVA was used. Results Among the diversity indices, the NAC group showed significantly lower Chao1, Inverse Simpson, and Shannon indices than the Non-NAC group. The three most frequent taxa of all two groups were Streptococcus (20.4%), followed by Veillonella (11.9%), and Prevorella (10.4%). This order was the same in NAC and non-NAC groups. Conclusion Here, we provide the first comparison data of the respiratory tract microbiome of breast cancer patients with or without NAC via NGS analysis. This study ultimately seeks to contribute to future studies on the lower respiratory tract in cancer patients with cytotoxic chemotherapy by establishing reliable control data.
Collapse
Affiliation(s)
- Hee Yeon Kim
- Department of Surgery, Busan Paik Hospital, Inje University, Busan, South Korea
| | - Tae Hyun Kim
- Department of Surgery, Busan Paik Hospital, Inje University, Busan, South Korea
| | - Jeong Hwan Shin
- Department of Laboratory Medicine and Paik Institute for Clinical Research, Inje University, Busan, South Korea
| | - Kwangrae Cho
- Department of Anesthesiology and Pain Medicine, Busan Paik Hospital, Inje University, Busan, South Korea
| | - Heon-Kyun Ha
- Department of Surgery, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Chung-Ang University, Gyeonggi-do, South Korea
| | - Anbok Lee
- Department of Surgery, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Chung-Ang University, Gyeonggi-do, South Korea
| | - Young Jin Kim
- Department of Laboratory Medicine, Kyung Hee University College of Medicine, Kyung Hee University Medical Center, Seoul, South Korea
| |
Collapse
|
3
|
He Y, Yu W, Ning P, Luo Q, Zhao L, Xie Y, Yu Y, Ma X, Chen L, Zheng Y, Gao Z. Shared and Specific Lung Microbiota with Metabolic Profiles in Bronchoalveolar Lavage Fluid Between Infectious and Inflammatory Respiratory Diseases. J Inflamm Res 2022; 15:187-198. [PMID: 35046693 PMCID: PMC8760989 DOI: 10.2147/jir.s342462] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 12/31/2021] [Indexed: 12/30/2022] Open
Abstract
Background Infiltration of the lower respiratory tract (LRT) microenvironment could be significantly associated with respiratory diseases. However, alterations in the LRT microbiome and metabolome in infectious and inflammatory respiratory diseases and their correlation with inflammation still need to be explored. Methods Bronchoalveolar lavage samples from 44 community-acquired pneumonia (CAP) patients, 29 connective tissue disease-associated interstitial disease (CTD-ILD) patients, and 30 healthy volunteers were used to detect microbiota and metabolites through 16S rRNA gene sequencing and untargeted high-performance liquid chromatography with mass spectrometry. Results The composition of the LRT microbial communities and metabolites differed in disease states. CAP patients showed a significantly low abundance and both diseases presented a depletion of some genera of the phylum Bacteroidetes, including Prevotella, Porphyromonas, and health-associated metabolites, such as sphingosine (d16:1), which were negatively correlated with infectious indicators. In contrast, Bacillus and Mycoplasma were both enriched in the disease groups. Streptococcus was specifically increased in CTD-ILD. In addition, co-elevated metabolites such as FA (22:4) and pyruvic acid represented hypoxia and inflammation in the diseases. Significantly increased levels of amino acids and succinate, as well as decreased itaconic acid levels, were observed in CAP patients, whereas CTD-ILD patients showed only a handful of specific metabolic alterations. Functions related to microbial lipid and amino acid metabolism were significantly altered, indicating the possible contributions of microbial metabolism. Dual omics analysis showed a moderate positive correlation between the microbiome and metabolome. The levels of L-isoleucine and L-arginine were negatively correlated with Streptococcus, and itaconic acid positively correlated with Streptococcus. Conclusion In the LRT microenvironment, shared and specific alterations occurred in CAP and CTD-ILD patients, which were associated with inflammatory and immune reactions, which may provide a new direction for future studies aiming to elucidate the mechanism, improve the diagnosis, and develop therapies for different respiratory diseases.
Collapse
Affiliation(s)
- Yukun He
- Department of Respiratory and Critical Care Medicine, Peking University People’s Hospital, Beijing, 100044, People’s Republic of China
| | - Wenyi Yu
- Department of Respiratory and Critical Care Medicine, Peking University People’s Hospital, Beijing, 100044, People’s Republic of China
| | - Pu Ning
- Department of Respiratory and Critical Care Medicine, Peking University People’s Hospital, Beijing, 100044, People’s Republic of China
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China
| | - Qiongzhen Luo
- Department of Respiratory and Critical Care Medicine, Peking University People’s Hospital, Beijing, 100044, People’s Republic of China
- Department of Respiratory & Critical Care Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People’s Republic of China
| | - Lili Zhao
- Department of Respiratory and Critical Care Medicine, Peking University People’s Hospital, Beijing, 100044, People’s Republic of China
| | - Yu Xie
- Department of Respiratory and Critical Care Medicine, Peking University People’s Hospital, Beijing, 100044, People’s Republic of China
| | - Yan Yu
- Department of Respiratory and Critical Care Medicine, Peking University People’s Hospital, Beijing, 100044, People’s Republic of China
| | - Xinqian Ma
- Department of Respiratory and Critical Care Medicine, Peking University People’s Hospital, Beijing, 100044, People’s Republic of China
| | - Li Chen
- Department of Respiratory and Critical Care Medicine, Peking University People’s Hospital, Beijing, 100044, People’s Republic of China
| | - Yali Zheng
- Department of Respiratory and Critical Care Medicine, Peking University People’s Hospital, Beijing, 100044, People’s Republic of China
- Department of Respiratory, Critical Care, and Sleep Medicine, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, People’s Republic of China
- Correspondence: Yali Zheng Department of Respiratory, Critical Care, and Sleep Medicine, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, People’s Republic of China Email
| | - Zhancheng Gao
- Department of Respiratory and Critical Care Medicine, Peking University People’s Hospital, Beijing, 100044, People’s Republic of China
- Department of Respiratory, Critical Care, and Sleep Medicine, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, People’s Republic of China
- Zhancheng Gao Department of Pulmonary and Critical Care Medicine, Peking University People’s Hospital, Beijing, 100044, People’s Republic of China Email
| |
Collapse
|