| Literature DB >> 35740358 |
Cristina Russo1, Valeria Colaianni1, Giuseppe Ielo2, Maria Stella Valle3, Lucia Spicuzza2, Lucia Malaguarnera1.
Abstract
There is a fine balance in maintaining healthy microbiota composition, and its alterations due to genetic, lifestyle, and environmental factors can lead to the onset of respiratory dysfunctions such as chronic obstructive pulmonary disease (COPD). The relationship between lung microbiota and COPD is currently under study. Little is known about the role of the microbiota in patients with stable or exacerbated COPD. Inflammation in COPD disorders appears to be characterised by dysbiosis, reduced lung activity, and an imbalance between the innate and adaptive immune systems. Lung microbiota intervention could ameliorate these disorders. The microbiota's anti-inflammatory action could be decisive in the onset of pathologies. In this review, we highlight the feedback loop between microbiota dysfunction, immune response, inflammation, and lung damage in relation to COPD status in order to encourage the development of innovative therapeutic goals for the prevention and management of this disease.Entities:
Keywords: COPD; dysbiosis; inflammation; lung; microbiota
Year: 2022 PMID: 35740358 PMCID: PMC9219765 DOI: 10.3390/biomedicines10061337
Source DB: PubMed Journal: Biomedicines ISSN: 2227-9059
Figure 1Differences in microbiota immunoregulation in the alveolar epithelium of healthy individuals and COPD. Red arrows show inhibition processes, while blue arrows show activation processes. Abbreviations: pattern recognition receptors (PRRs); Toll-like receptors (TLRs); Treg cells (Tc); macrophages (M); DCs (dendritic cells); Immunoglobulin A (IgA); Interleukin (IL); interferon-gamma (IFN-γ); matrix metalloproteinase (MMP); mitochondrial reactive oxygen species (mROS); nuclear factor kappa-light-chain enhancer (NF-Kb); P38 mitogen-activated protein kinases (P38); extracellular signal-regulated kinase (ERK1). Red arrow shows an inhibition process; red cross indicates an inactivated cell.
Lung microbiota analysis in COPD patients.
| Subject | Sample | Taxonomic Changes | References |
|---|---|---|---|
| 218 COPD subjects | 16S rRNA gene-based sputum microbiome |
| [ |
| 281 COPD subjects | 16S ribosomal RNA sputum samples |
| [ |
| 112 COPD subjects | Respiratory sample | [ | |
| Healthy ( | Nasal swabs and oral washings | [ | |
| Healthy ( | Clinical assessment and sputum induction. | ↑ | [ |
| 120 subjects COPD | Sputum | 60% | [ |
| 78 COPD patients | Sputum investigated using 16S rRNA V3-V4 amplicon sequencing | ↑ | [ |
| 200 severe COPD patients | In total, 1179 sputum samples were collected at stable, acute exacerbation, and follow-up visits. | [ |
Figure 2Impact of P. aeruginosa on oxidative stress in COPD.
The therapeutic effects of probiotics.
| Probiotics | Therapeutic Effects | References |
|---|---|---|
|
| Humoral and cellular immune responses modulation. | [ |
|
| Decreases the number of macrophages and neutrophils and cytokine levels (IL-6 and TNF-α) to induce immunosuppression. | [ |
|
| Regulates respiratory immune responses protecting from H1N1 influenza virus. | [ |
|
| Stimulates immune cell migration inducing cytokine expression and decreasing pathogens. | [ |
Figure 3Probiotic modulation during lung infections. Schematic representation of probiotic modulation of immune responses during lung infections. Abbreviations: tumour necrosis factor-alpha (TNF-α); interleukin-6 (IL-6).