Gene expression profiling of whole blood in patients with severe leptospirosis
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PROVIDER: PRJNA823595 | ENA |
REPOSITORIES: ENA
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Project description:Background: Leptospirosis is a global zoonotic infectious disease with various clinical manifestations ranging from mild self-limiting illness to life-threatening infection with multi-organ damage. This study was aimed at investigating transcription profiles from whole blood samples of patients with leptospirosis and identifying genes as novel biomarkers for predicting severe leptospirosis. Methods: In a discovery cohort, 12 serum samples of patients with severe and non-severe leptospirosis at initial clinical presentation were selected for gene expression profiling using the NanoString nCounter PanCancer IO 360 gene expression panel. In a validated cohort of 99 samples, top candidate genes were selected and further tested by qRT-PCR in whole blood samples of 30 and 69 individuals with severe and non-severe leptospirosis, respectively. Results: The discovery set identified 20 differentially expressed genes (DEGs) among the two groups. The top three down-regulated candidate genes including programmed cell death 1 (PDCD1), interleukin 4 (IL4), and nitric oxide synthase 2 (NOS2) were selected and further validated. In the validated cohort, PDCD1 levels were significantly lower in the severe group compared with the non-severe group(Stats?). Based on the ROC analysis, PDCD1 levels could discriminate between the severe and non-severe groups. Additionally , PDCD1 levels displayed good predictive power of subsequent pulmonary hemorrhage with an AUROC of 0.86 (95% CI;0.76-0.96, p = 0.007). PDCD1 also emerged as an independent prognostic factor of severe leptospirosis in the multivariate regression analysis.. Conclusion: Our data indicated that whole blood gene expression profiles were significantly different between the severe and non-severe leptospirosis groups. PDCD1 expression levels at presentation could potentially serve as a biomarker for predicting severe leptospirosis.
2025-04-01 | GSE200188 | GEO
Project description:Leptospirosis is zoonotic disease of global importance, with over a million cases andnearly 60,000 deaths annually. Symptomatic disease presentation ranges from a mildfebrile disease with non-specific symptoms to severe forms, characterized by multi-organ failure, lung hemorrhage, and death. Factors governing severe outcomes remainunclear, but the host immune response likely plays an important role. In the presentstudy, we applied high throughput techniques to identify the antibody profiles ofpatients with severe and mild leptospirosis. We discovered a limited number ofimmunodominant antigens, specific to patients. Surprisingly, we found the antibodyrepertoire varies in patients with different clinical outcomes and hypothesized thatpatients with mild symptoms were protected from severe disease due to pre-existingantibodies, while the profile of patients with severe outcomes was representative of afirst exposure. These findings represent a substantial step forward in the knowledge ofthe humoral immune response to Leptospira infection, and we have identified newtargets for vaccine and diagnostic test development.
2016-09-10 | GSE86630 | GEO
Project description:Whole blood transcriptional profiling of Brazilian patients with acute leptospirosis to identify mechanisms associated with case fatality
2016-09-23 | GSE72946 | GEO
Project description:Background: Leptospirosis, a global zoonotic infectious disease, has various clinical manifestations ranging from mild self-limiting illness to life-threatening with multi-organ damage, including liver involvement. This study was aimed at identifying circulating microRNAs (miRNAs) as novel biomarkers for predicting severe liver involvement in patients with leptospirosis. Methods: In a discovery set, 12 serum samples of patients with anicteric and icteric leptospirosis at initial clinical presentation were used for miRNA profiling by a NanoString nCounter miRNA assay. In a validated cohort, top candidate miRNAs were selected and further tested by qRT-PCR in serum samples of 81 and 16 individuals with anicteric and icteric leptospirosis, respectively. Results: The discovery set identified 38 significantly differential expression miRNAs between the two groups. Among these, miR-601 and miR-630 were selected as the top two candidates significantly up-regulated expressed in the icteric group. The enriched KEGG pathway showed that these miRNAs were mainly involved in immune responses and inflammation. In the validated cohort, miR-601 and miR-630 levels were significantly higher in the icteric group compared with the anicteric group. Additionally, these two miRNAs displayed good predictors of subsequent acute liver failure with a high sensitivity of 100%. On regression analysis, elevated miR-601 and miR-630 expression were also predictive of multi-organ failures and poor overall survival. Conclusion: Our data indicated that miRNA expression profiles were significantly differentiated between the icteric and anicteric groups. Serum miR-601 and miR-630 at presentation could potentially serve as promising biomarkers for predicting subsequent acute liver failure and overall survival in patients with leptospirosis.
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2014-09-01 | E-GEOD-58795 | biostudies-arrayexpress
Project description:Identification and validation of circulating miRNAs as potential new biomarkers for severe liver disease in patients with leptospirosis
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Project description:Severe asthma is a clinically and physiologically heterogeneous disease. Benralizumab is a monoclonal antibody which binds the alpha chain of the interleukin-5 receptor and used for severe eosinophilic asthma worldwide. However, not all eosinophilic asthma patients will benefit from benralizumab due to heterogeneity of this disease. Therefore, we performed comprehensive gene expression analysis of whole blood cells that examine severe asthma disease heterogeneity in response to benralizumab. This study is the first to perform comprehensive transcriptome analysis of whole blood cells to identify transcriptomic endotypes of severe asthma clusters that correlate with benralizumab response. The identified transcriptomic endotypes of severe asthma clusters are associated with gene signatures of eosinophils and neutrophilis.
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