Comprehensive overview of COVID-19-related respiratory failure: focus on cellular interactions

Rarani, Fahimeh Zamani; Rarani, Mohammad Zamani; Hamblin, Michael R.; Rashidi, Bahman; Hashemian, Seyed Mohammad Reza; Mirzaei, Hamed

doi:10.1186/s11658-022-00363-3

Cited by 6 publications

(2 citation statements)

References 217 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Appropriate neutrophil apoptosis is important for the resolution of inflammation (Driss and Filep, 2010). Platelets have a variety of transmembrane receptors, including TLRs and TNF receptors, which might be associated with the regulation of immune responses (Zamani-Rarani et al, 2022). During COVID-19, platelets play an important role in the host's antiviral responses (Trugilho et al, 2022).…”

Section: Probiotics Might Regulate the Expression Of Pro-andmentioning

confidence: 99%

Lactobacillus mucosae exerted different antiviral effects on respiratory syncytial virus infection in mice

Wang

Fang

et al. 2022

Front. Microbiol.

View full text Add to dashboard Cite

Respiratory syncytial virus (RSV) infection is a constant threat to the health of young children, and this is mainly attributed to the lack of effective prevention strategies. This study aimed to determine whether Lactobacillus (L.) mucosae, a potential probiotic, could protect against respiratory viral infection in a mouse model. Naive 3–4-week-old BALB/c mice were orally administered with three L. mucosae strains (2.5 × 108 CFU/mouse) 7 days before RSV infection (105 TCID50/mouse). Results showed that all three strains inhibited RSV replication and reduced the proportions of inflammatory cells, including granulocytes and monocytes in the blood. The L. mucosae M104R01L3 treatment maintained stable weight in mice and increased interferon (IFN)-β and tumor necrosis factor (TNF)-α levels. The L. mucosae DCC1HL5 treatment increased interleukin (IL)-1β and IL-10 levels. Moreover, the M104R01L3 and DCC1HL5 strains increased the proportions of Akkermansia, Alistipes, and Anaeroplasma which contributed to the advantageous modulation of the gut microbiota. Besides, L. mucosae affected the gut levels of short-chain fatty acids (SCFAs) that are important for the antiviral response. L. mucosae 1,025 increased acetate, propionate, and butyrate levels, whereas L. mucosae M104R01L3 increased the level of acetate in the gut. L. mucosae M104R01L3 may protect against viral infection by upregulating the IFN-β levels in the lungs and its antiviral effect may be related to the increase of acetate levels in the gut. In conclusion, the three L. mucosae strains exerted antiviral effects against RSV infection by differentially regulating immune responses and intestinal micro-ecological balance. This study can provide a reference for studying the mechanisms underlying the antiviral effects of L. mucosae.

show abstract

Section: Probiotics Might Regulate the Expression Of Pro-andmentioning

confidence: 99%

Lactobacillus mucosae exerted different antiviral effects on respiratory syncytial virus infection in mice

Wang

Fang

et al. 2022

Front. Microbiol.

View full text Add to dashboard Cite

show abstract

“…SARS-CoV-2 is generally spread when aerosolized droplets from an infected person come into contact with a healthy person’s mucous membranes (i.e., the eyes, nose, or mouth) or through direct physical contact between an infected and uninfected person [ 4 ]. Some infected patients may present as asymptomatic [ 5 ], while other cases involve fever, cough, and unexplained fatigue [ 6 , 7 ]; more severe cases can result in hospitalization for respiratory failure [ 7 ], heart failure [ 8 ], or sepsis [ 9 ]. Since SARS-CoV-2 is capable of rapid transmission, and has proven to result in drastic health consequences, there is a pressing need for effective surveillance testing.…”

Section: Introductionmentioning

confidence: 99%

The Use of Biological Sensors and Instrumental Analysis to Discriminate COVID-19 Odor Signatures

et al. 2022

View full text Add to dashboard Cite

The spread of SARS-CoV-2, which causes the disease COVID-19, is difficult to control as some positive individuals, capable of transmitting the disease, can be asymptomatic. Thus, it remains critical to generate noninvasive, inexpensive COVID-19 screening systems. Two such methods include detection canines and analytical instrumentation, both of which detect volatile organic compounds associated with SARS-CoV-2. In this study, the performance of trained detection dogs is compared to a noninvasive headspace-solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) approach to identifying COVID-19 positive individuals. Five dogs were trained to detect the odor signature associated with COVID-19. They varied in performance, with the two highest-performing dogs averaging 88% sensitivity and 95% specificity over five double-blind tests. The three lowest-performing dogs averaged 46% sensitivity and 87% specificity. The optimized linear discriminant analysis (LDA) model, developed using HS-SPME-GC-MS, displayed a 100% true positive rate and a 100% true negative rate using leave-one-out cross-validation. However, the non-optimized LDA model displayed difficulty in categorizing animal hair-contaminated samples, while animal hair did not impact the dogs’ performance. In conclusion, the HS-SPME-GC-MS approach for noninvasive COVID-19 detection more accurately discriminated between COVID-19 positive and COVID-19 negative samples; however, dogs performed better than the computational model when non-ideal samples were presented.

show abstract

Human Bronchial Epithelial Cell Transcriptome Changes in Response to Serum from Patients with Different Status of Inflammation

Sivaraman,

Liu,

Martinez-Delgado

et al. 2024

Lung

View full text Add to dashboard Cite

Purpose To investigate the transcriptome of human bronchial epithelial cells (HBEC) in response to serum from patients with different degrees of inflammation. Methods Serum from 19 COVID-19 patients obtained from the Hannover Unified Biobank was used. At the time of sampling, 5 patients had a WHO Clinical Progression Scale (WHO-CPS) score of 9 (severe illness). The remaining 14 patients had a WHO-CPS of below 9 (range 1–7), and lower illness. Multiplex immunoassay was used to assess serum inflammatory markers. The culture medium of HBEC was supplemented with 2% of the patient’s serum, and the cells were cultured at 37 °C, 5% CO2 for 18 h. Subsequently, cellular RNA was used for RNA-Seq. Results Patients with scores below 9 had significantly lower albumin and serum levels of E-selectin, IL-8, and MCP-1 than patients with scores of 9. Principal component analysis based on 500 “core genes” of RNA-seq segregated cells into two subsets: exposed to serum from 4 (I) and 15 (II) patients. Cells from a subset (I) treated with serum from 4 patients with a score of 9 showed 5566 differentially expressed genes of which 2793 were up- and 2773 downregulated in comparison with cells of subset II treated with serum from 14 patients with scores between 1 and 7 and one with score = 9. In subset I cells, a higher expression of TLR4 and CXCL8 but a lower CDH1, ACE2, and HMOX1, and greater effects on genes involved in metabolic regulation, cytoskeletal organization, and kinase activity pathways were observed. Conclusion This simple model could be useful to characterize patient serum and epithelial cell properties.

show abstract

Comprehensive overview of COVID-19-related respiratory failure: focus on cellular interactions

Cited by 6 publications

References 217 publications

Lactobacillus mucosae exerted different antiviral effects on respiratory syncytial virus infection in mice

Lactobacillus mucosae exerted different antiviral effects on respiratory syncytial virus infection in mice

The Use of Biological Sensors and Instrumental Analysis to Discriminate COVID-19 Odor Signatures

Human Bronchial Epithelial Cell Transcriptome Changes in Response to Serum from Patients with Different Status of Inflammation

Contact Info

Product

Resources

About