The utility of long non-coding RNAs in chronic obstructive pulmonary disease: a comprehensive analysis.

OBJECTIVES: Chronic obstructive pulmonary disease (COPD) is one of the main causes of morbidity and mortality in the world. However, there are some patients who are not diagnosed early and correctly through routine methods because of inconspicuous or serious symptoms. This study aims to assess the diagnostic role of long non-coding RNA (lncRNA) in COPD. METHODS: We searched literature from electronic databases, after excluding non-COPD literature, the bibliometric analysis was performed, and VOSviewer software was used to represent the data analyzed. Literature evaluating the diagnostic test accuracy of lncRNA for COPD was eligible, and the QUADAS-2 checklist was used to evaluate the quality. The pooled sensitivity (SEN), specificity (SPE), diagnostic odds ratio (DOR), and summary receiver operating characteristic curve (sROC) were used to analyze the overall diagnostic performance. Subgroup and meta-regression analyses were performed to explore the heterogeneity, and a funnel plot was assessed for publication bias. Also, lncRNAs related to COPD were identified and explored for their potential biological function. RESULTS: An increased annual growth rate of literature on this subject from 2016 focused on COPD, humans, RNA, and lncRNA. The meta-analysis enrolled 17 literature indicated that the SEN, SPE, and DOR differentiating COPD patients from normal controls (NCs) were 0.86 (95% CI [0.80, 0.90]), 0.78 (95% CI [0.67, 0.86]), and 21.59 (95% CI [11.39, 40.91]), respectively. Meanwhile, lncRNAs had the ability to distinguish acute exacerbations of COPD (AECOPD) patients from COPD; the SEN, SPE, and DOR were 0.75 (95% CI [0.62, 0.85]), 0.81 (95% CI [0.71, 0.89]), and 13.02 (95% CI [7.76, 21.85]), respectively. The area under the sROC were calculated to be greater than 0.8 at least. Subgroup and meta-regression analysis showed that the types of specimens and dysregulated lncRNAs might affect the diagnostic accuracy. The funnel plot showed there was a certain publication bias. 41 lncRNAs related to COPD were identified and mainly located in the nucleus and cytoplasm, associated with proliferation, invasion, and prognosis. These lncRNA-binding proteins were involved in the spliceosome, Rap1 signaling pathway, MAPK signaling pathway, and so on. CONCLUSION: LncRNA suggests potential diagnostic biomarkers and therapeutic targets for COPD patients.

Analysis of endoplasmic reticulum stress-related gene signature for the prognosis and pattern in diffuse large B cell lymphoma.

Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoma in adults. This study aimed to determine the prognostic significance of endoplasmic reticulum (ER) stress-related genes in DLBCL. ER stress-related genes were obtained from the molecular signatures database. Gene expression data and clinical outcomes from the gene expression omnibus and TCGA datasets were collected, and differentially expressed genes (DEGs) were screened out. Gene ontology enrichment analysis, the kyoto encyclopaedia of genes and genomes pathway analysis, and geneset enrichment analysis were used to analyse the possible biological function of ER stress-related DEGs in DLBCL. Protein-protein interaction network construction using the STRING online and hub genes were identified by cytoHubba on Cytoscape software. The significant prognosis-related genes were screened, and the differential expression was validated. The immune microenvironment assessment of significant genes were evaluated. Next, the nomogram was built using univariate and multivariate Cox regression analysis. 26 ER stress-related DEGs were screened. Functional enrichment analysis showed them to be involved in the regulation of the endoplasmic reticulum mainly. NUPR1 and TRIB3 were identified as the most significant prognostic-related genes by comparison with the GSE10846, GSE11318, and TCGA datasets. NUPR1 was correlated with a good prognosis and immune infiltration in DLBCL; on the other hand, high expression of TRIB3 significantly correlated with a poor prognosis, which was an independent prognostic factor for DLBCL. In summary, we identified NUPR1 and TRIB3 as critical ER stress-related genes in DLBCL. NUPR1 might be involved in immune infiltration in DLBCL, and TRIB3 might serve as a potential therapeutic target and prognostic factor in DLBCL.

The prevalence and species of Mycoplasma identified from dairy goats in Taiwan.

Except for Mycoplasma capricolum subsp. capripneumoniae, which only causes pneumonia, Mycoplasma species can cause otitis, arthritis, septicemia, mastitis, pneumonia and encephalitis in goats. After a mycoplasma outbreak was recorded in Taiwan in 2016, an increasing number of mycoplasma infection cases have been observed. It is important to understand how many Mycoplasma species are currently prevalent in Taiwan. In this study, 57-61 bulk milk samples were collected from dairy goats in Taiwan every year from 2017 to 2020 to identify the presence of mycoplasma DNA fragments by polymerase chain reaction (PCR). The mycoplasma species were identified based on colony characteristics, PCR, and DNA sequences. In total, 39 out of 236 samples (16.52%) tested mycoplasma positive. The annual mycoplasma prevalence rates from 2017 to 2020 were 24.59% (15/61), 8.20% (5/61), 17.54% (10/57) and 15.79% (9/57), respectively. Mycoplasma mycoides subsp. capri (n = 19), Mycoplasma putrefaciens (n = 10), Mycoplasma ovipneumoniae (n = 5) and Mycoplasma bovis (n = 5) were present in Taiwan. No M. capricolum subsp. capripneumoniae was detected. Except for the large drop in 2018, the prevalence of mycoplasma infection declined to a consistent level for the final two years of the study. However, the seasonal pattern is still worth investigating. This is the first survey of mycoplasma infection in goats, and we believe that a larger survey is still needed to understand the pathogenicity and diversity of these mycoplasma isolates.