Project description:Common gene and microRNA expression patterns in TB and sarcoidosis Gene and microRNA expression analysis of whole blood RNA from tuberculosis and sarcoidosis patients and healthy controls
Project description:This study used whole blood transcriptional signatures from patients with tuberculosis compared to those with similar pulmonary diseases, sarcoidosis, pneumonia and primary lung cancer. TB and sarcoidosis had similar signatures that were distinct from pneumonia and lung cancer. There were 16 TB, 25 sarcoidosis, 8 pneumonia, 8 lung cancer and 38 healthy controls
Project description:This study used whole blood transcriptional signatures from patients with tuberculosis compared to those with similar pulmonary diseases, sarcoidosis, pneumonia and primary lung cancer. TB and sarcoidosis had similar signatures that were distinct from pneumonia and lung cancer. There were 11 TB, 25 sarcoidosis, 6 pneumonia, 8 lung cancer and 52 healthy controls
Project description:This study used whole blood transcriptional signatures from patients with tuberculosis, sarcoidosis and healthy controls. There were 8 TB, 11 sarcoidosis and 23 healthy controls
Project description:Background: Mycobacterium tuberculosis infection is a leading cause of infectious death worldwide. Gene-expression microarray studies profiling the blood transcriptional response of tuberculosis (TB) patients have been undertaken in order to better understand the host immune response as well as to identify potential biomarkers of disease. To date most of these studies have focused on pulmonary TB patients with gene-expression profiles of extra-pulmonary TB patients yet to be compared to those of patients with pulmonary TB or sarcoidosis. Methods A novel cohort of patients with extra-pulmonary TB and sarcoidosis was recruited and the transcriptional response of these patients compared to those with pulmonary TB using a variety of transcriptomic approaches including testing a previously defined 380 gene meta-signature of active TB. Results The 380 meta-signature broadly differentiated active TB from healthy controls in this new dataset consisting of pulmonary and extra-pulmonary TB. The top 15 genes from this meta-signature had a lower sensitivity for differentiating extra-pulmonary TB from healthy controls as compared to pulmonary TB. We found the blood transcriptional responses in pulmonary and extra-pulmonary TB to be heterogeneous and to reflect the extent of symptoms of disease. Conclusions The transcriptional signature in extra-pulmonary TB demonstrated heterogeneity of gene expression reflective of symptom status, while the signature of pulmonary TB was distinct, based on a higher proportion of symptomatic individuals. These findings are of importance for the rational design and implementation of mRNA based TB diagnostics.
Project description:This study used whole blood transcriptional signatures from patients with tuberculosis compared to those with similar pulmonary diseases, sarcoidosis, pneumonia and primary lung cancer. TB and sarcoidosis had similar signatures that were distinct from pneumonia and lung cancer.
Project description:This study used whole blood transcriptional signatures from patients with tuberculosis compared to those with similar pulmonary diseases, sarcoidosis, pneumonia and primary lung cancer. TB and sarcoidosis had similar signatures that were distinct from pneumonia and lung cancer.
Project description:Purpose: Pulmonary tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), has long been associated with the development of lung adenocarcinoma (LUAD) and sarcoidosis. These chronic lung diseases share histopathological similarities that challenge differential diagnosis. Methods: Human lung tissues were used for total RNA extraction with RNeasy Plus Mini Kit (Qiagen) according to the manufacturer’s protocol. RNA purity was assessed using a Nanodrop ND-2000 (Thermo Scientific), and each RNA sample had an A260:A280 ratio above 1.8 and an A260:A230 ratio above 2.0. RNA integrity was evaluated using the Agilent 2200 TapeStation (Agilent Technologies), and each sample had the RNA Integrity Number (RIN) above 7.0. The ribosomal RNAs (rRNAs) were removed using Ribo-Zero rRNA Removal Kits (Illumina). RNA libraries were then constructed by NEBNext Ultra RNA Library Prep Kit for Illumina (New England Biolabs) and evaluated using the Agilent 2200 TapeStation and Qubit® 2.0 (Life Technologies). Sequencing was performed by RiboBio Co., Ltd. on an Illumina HiSeq 3000 machine with paired-end 150-bp reads. The adaptors and low quality bases assessed using FASTQC 0.11.3 were trimmed by Trimmomatic 0.39 using the following options: TRAILING:20, MINLEN:235 and CROP:235. Trimmed reads were then aligned to the ensembl 79 (GRCh38.p2) reference genome using STAR 2.4.2a. FeatureCounts 1.6.2 was subsequently employed to convert aligned short reads into read counts for each sample. Genes with less than ten counts in two or more samples were removed. The data were then analyzed using R 3.4.4 and DEseq2 1.18.1. Differentially expressed genes of each disease group were identified using Wald statistics test, with fold-change > 2 and Benjamini–Hochberg (BH)-adjusted P < 0.1 as compared to NC group. Results: These findings provide novel pathogenic links and molecular markers for better understanding and differential diagnosis of pulmonary TB, LUAD and sarcoidosis.
Project description:Purpose: This study aimed to explore the pathobiological markers of sarcoidosis in PBMCs by comparing the transcriptional signature of PBMCs from patients with pulmonary sarcoidosis and those of healthy controls by RNA sequencing. Methods:PBMC samples were collected from subjects with pulmonary sarcoidosis with no steroid/immunosuppressant drugs (n = 8) and healthy controls (n = 11) from August 2020 to April 2021, and RNA sequencing was performed with the PBMC samples. Results: Variety of DEGs were determined between groups leading to the enrichment analysis. Conclusions: The present study demonstrated that bulk gene expression patterns in PBMCs were different between patients with pulmonary sarcoidosis and healthy controls. The changes in the gene expression pattern of PBMCs could reflect the existence of sarcoidosis lesions and influence granuloma formation in sarcoidosis.
Project description:We hypothesized that tissue genome-wide gene expression analysis, coupled with gene network analyses of differentially expressed genes, would provide novel insights into the pathogenesis of pulmonary sarcoidosis. Keywords: Disease state analysis Genome-wide gene expression profiles were compared in tissues derived from subjects with active pulmonary sarcoidosis (n=6) and those with normal lung anatomy (n=6). Differentially expressed genes were analyzed by gene network analysis