Host inflammatory response is the major factor in the progression of Chlamydia psittaci pneumonia
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE202947 | GEO | 2022/05/16
REPOSITORIES: GEO
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Project description:PurposeChlamydia psittaci (C. psittaci) has caused sporadic, but recurring, fatal community-acquired pneumonia outbreaks worldwide, posing a serious threat to public health. Our understanding of host inflammatory responses to C. psittaci is limited, and many bronchitis cases of psittaci have rapidly progressed to pneumonia with deterioration.MethodsTo clarify the host inflammatory response in psittacosis, we analyzed clinical parameters, and compared transcriptomic data, concentrations of plasma cytokines/chemokines, and changes of immune cell populations in 17 laboratory-confirmed psittacosis cases, namely, 8 pneumonia and 9 bronchitis individuals, in order to assess transcriptomic profiles and pro-inflammatory responses.ResultsPsittacosis cases with pneumonia were found to have abnormal routine blood indices, liver damage, and unilateral pulmonary high-attenuation consolidation. Transcriptome sequencing revealed markedly elevated expression of several pro-inflammatory genes, especially interleukins and chemokines. A multiplex-biometric immunoassay showed that pneumonia cases had higher levels of serum cytokines (G-CSF, IL-2, IL-6, IL-10, IL-18, IP-10, MCP-3, and TNF-α) than bronchitis cases. Increases in activated neutrophils and decreases in the number of lymphocytes were also observed in pneumonia cases.ConclusionWe identified a number of plasma biomarkers distinct to C. psittaci pneumonia and a variety of cytokines elevated with immunopathogenic potential likely inducing an inflammatory milieu and acceleration of the disease progression of psittaci pneumonia. This enhances our understanding of inflammatory responses and changes in vascular endothelial markers in psittacosis with heterogeneous symptoms and should prove helpful for developing both preventative and therapeutic strategies.
| S-EPMC9478202 | biostudies-literature
Project description:Host inflammatory response is the major factor in the progression of Chlamydia psittaci pneumonia
| PRJNA837877 | ENA
Project description:Rationale: Patients in the intensive care unit (ICU) are frequently exposed to unnecessary antibiotics. Markers of the host response to infection may aid pneumonia diagnosis and avoid antibiotic-induced complications. Objective: To assess the host response to suspected bacterial pneumonia through assessment of alveolar neutrophilia and transcriptomic profiling of alveolar macrophages. Methods: We determined the test characteristics of BAL neutrophilia for the diagnosis of bacterial pneumonia in 3 cohorts of mechanically ventilated patients. In one cohort, we also isolated alveolar macrophages from BAL fluid and used the transcriptome to identify signatures of bacterial pneumonia. Finally, we developed a humanized mouse model of Pseudomonas aeruginosa pneumonia to determine if pathogen-specific signatures can be identified in human alveolar macrophages. Measurements and Main Results: BAL neutrophilia was highly sensitive for bacterial pneumonia in both the retrospective (N = 851) and validation cohorts (N = 76 and N = 79) with a negative predictive value of over 90% when BAL neutrophil percentage was less than 50%. A transcriptional signature of bacterial pneumonia was present in both resident and recruited macrophages. Gene signatures from both cell types identified patients with bacterial pneumonia with test characteristics similar to BAL neutrophilia. Conclusions: A BAL neutrophil percentage of less than 50% is highly sensitive for bacterial pneumonia. Informative transcriptomic signatures can be generated from BAL fluid obtained during routine clinical care in the ICU. The identification of novel host response biomarkers is a promising approach to aid the diagnosis and treatment of pneumonia.
2018-11-06 | GSE121871 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE32105: Expression data from mouse livers lacking STAT3 and RelA during pneumonia GSE35513: Expression data from mouse livers lacking NF-kappaB RelA (p65) during pneumonia GSE35514: Expression data from mouse livers lacking STAT3 during pneumonia GSE35515: Expression data from mouse livers expressing or lacking Cre recombinase during pneumonia Refer to individual Series
2012-02-16 | E-GEOD-35516 | biostudies-arrayexpress
Project description:Messenger RNA of C trachomatis infected monocytes of the three healthy donors was compared with the corresponding mock-infected samples. For mock infection, SPG buffer was used instead of the C trachomatis suspension, all other procedures were performed identically. Cells were resuspended in solution D and total RNA was extracted by application of phenol:chloroform 5:1 (pH 4.5, Ambion, Austin, TX) followed by precipitation in isopropanol at -80°C for 1 hr and incubation with RQ1 DNase (Promega, Madison, WI) at 37 °C for 1 hr. The signal intensity of the G3PDH housekeeping gene on the microarray membrane was used as indirect quality marker for the RNA utilized as only experiments were included in the analysis that revealed a G3PDH signal intensity within 1.5 times the standard deviation of all membranes evaluated in our study. The entire microarray procedure and its analysis has recently been validated and reported in detail. Total RNA of all donors was pooled and for each microarray experiment 150 µg were reverse transcribed and amplified by SMART™-PCR (BD Biosciences Clontech, Palo Alto, CA), a technology that allows reverse transcription of small amounts of total RNA and subsequent amplification of the entire cDNA. Probes were labeled with 32P and subsequently over night hybridized to a filter-based nylon membrane containing immobilized cDNA-specific sequences from a total of 1,184 genes (Human Atlas Array 1.2, BD Biosciences Clontech, Palo Alto, CA). For analysis, we focused solely on the 159 cytokines, chemokines and their receptors as given by the manufacturer. Signal intensities were retrieved by a STORM 860 scanner (Molecular Dynamics, Sunnyvale, CA) in combination with the AtlasImage 2.0 software (BD Biosciences Clontech). Data from all signal intensities were then subtracted by the local background intensity measured around each gene. The local background intensities of all individual genes were subsequently averaged, resulting in the mean background intensity of a particular membrane. Gene expression in our experiments was determined by a spot intensity of a single transcript that exceeded twice the mean background. Normalisation to background and to the G3PDH housekeeping gene was achieved by the global (sum) normalization method. Signal intensity data are given as the ratio of C trachomatis infected vs mock infected probes. Keywords: expression analysis
2007-04-26 | GSE7601 | GEO
Project description:Rationale: Idiopathic interstitial pneumonia (IIP) and its’ familial variants are progressive and largely untreatable disorders with poorly understood molecular mechanisms. Both the genetics and the histologic type of IIP play a role in understanding the etiology and pathogenesis of interstitial lung disease, but transcriptional signatures of these subtypes are unknown. Objectives: To evaluate gene expression in the lung tissue from patients with usual interstitial pneumonia (UIP) and non-specific interstitial pneumonia (NSIP) that were either familial or non-familial in origin and compare them to gene expression from normal lung parenchyma. Methods: We profiled RNA from lungs of 16 patients with sporadic IIP, 10 with familial IIP, and 9 normal controls on a whole human genome oligonucleotide microarray. Results: Significant transcriptional differences exist in familial and sporadic IIPs. The genes distinguishing the genetic subtypes belong to the same functional categories as transcripts that distinguish IIP from normal samples. Relevant categories include chemokines and growth factors and their receptors, complement components, genes associated with cell proliferation and death, and genes in the Wnt pathway. Keywords: disease state analysis
2006-10-01 | GSE5774 | GEO
Project description:Causes pharyngitis, bronchitis and pneumonitis
| PRJNA247 | ENA
Project description:Causes pharyngitis, bronchitis and pneumonitis
| PRJNA17947 | ENA
Project description:Causes pharyngitis, bronchitis and pneumonitis
| PRJNA248 | ENA
Project description:Causes pharyngitis, bronchitis and pneumonitis
| PRJNA257 | ENA