MALAT1 suppression is a hallmark of tissue and peripheral proliferative T cells in COVID-19

In a recent study posted to the medRxiv* preprint server, researchers in the United Kingdom investigated lncRNA (long non-coding ribonucleic acids) expression in coronavirus disease 2019 (COVID-19) T lymphocyte transcriptomes.

Profiling lncRNA expression in immunological cells during the response to infection could provide insights into the main transcriptional and post-transcriptional pathways functional in health and illness. Transcriptomes of tissue and peripheral T lymphocytes during the response to infections, especially COVID-19, are well-characterized. However, data on the T lymphocyte lncRNA profiles are limited and require further investigation.

The authors of the present study previously showed that, among the cluster of differentiation 4+ (CD4+) T lymphocytes, MALAT1 (metastasis-associated lung adenocarcinoma transcript 1) gene suppression was characteristic of naïve CD4+ T lymphocyte (CD4_N) activation and that MALAT1-/- CD4+ T lymphocytes express the pro-inflammatory cytokine interleukin 10 (IL-10) in low amounts, in experimental malaria and leishmaniasis models.

Study: Down-regulation of MALAT1 is a hallmark of tissue and peripheral proliferative T cells in COVID-19. Image Credit: Chameleon Pictures / ShutterstockStudy: Down-regulation of MALAT1 is a hallmark of tissue and peripheral proliferative T cells in COVID-19. Image Credit: Chameleon Pictures / Shutterstock

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

About the study

The researchers extended their previous analysis by examining previously published single-cell RNA sequencing (scRNA seq) datasets from bronchoalveolar lavage (BAL), post-mortem pulmonary cells, and peripheral blood samples of individuals with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections.

T lymphocyte lncRNA profiles were explored from previously published scRNA-seq datasets (n=3) from SARS-CoV-2-positive individuals with lncRNAs detectable in pulmonary T lymphocytes during SARS-CoV-2 infection, emphasizing MALAT1. Gene signatures covarying with MALAT1 in T lymphocytes were identified based on gene set enrichment analysis. Post-mortem tissues of deceased COVID-19 patients from the UK-CIC (United Kingdom coronavirus immunology consortium, were subjected to RNAscope analysis, and UMAP (uniform manifold approximation and projection) analysis was performed.

Cell-type data were analyzed for fine-grained T lymphocyte phenotyping. To understand the effects of varying MALAT1 expression across fine-grained and coarse-grained T lymphocyte heterogeneity, the team assessed the correlation of MALAT1 expression with other genes for T lymphocyte subsets. Further, the team investigated whether the top 25 MALAT1-correlated genes and top 25 MALAT1-anti-correlated genes among CD4+ T lymphocytes and CD8+ T lymphocytes were expressed differentially in clusters previously identified or within imputed cellular subpopulations.

Results

The MALAT1 lncRNA showed the greatest transcription among T lymphocytes across all datasets, with type 1 T helper (Th1) lymphocytes showing the least and CD8+ resident memory lymphocytes the most significant MALAT1 expression, in CD4+ lymphocyte and CD8+ T lymphocyte populations, respectively. Significantly more transcripts showed a negative correlation with MALAT1 compared to those that showed positive correlations. MALAT1-anti-correlating genetic signatures showed enrichment of T lymphocyte activation, oxidative phosphorylation, cell division, and cytokine response genes.

The genetic signature anti-correlating with MALAT1, which was shared among CD4+ lymphocytes and CD8+ lymphocytes, marked replicating T lymphocytes in the blood and lung of SARS-CoV-2-positive individuals. MKI67 (the marker of proliferation Ki-67)-expressing CD8+ T lymphocytes had lower levels of MALAT1 mRNA in situ, indicating that lower MALAT1 expression was characteristic of MKI67+ replicating CD8-expressing T lymphocytes. MALAT1 correlated negatively with cell cycle progression and proliferation in CD4+ lymphocytes and CD8+ lymphocytes of patients with severe COVID-19.

Of interest, of the 10 lncRNAs with the greatest expression, only the MALAT1 lncRNA expression was reduced among individuals with severe COVID-19 relative to those with no or mild to moderate COVID-19. CD4+ Th1 lymphocytes showed lesser MALAT1 expression compared to naive CD4+ lymphocytes, whereas the regulatory CD4 lymphocytes and resident memory CD8+ lymphocytes subsets showed the greatest MALAT1 expression. Compared to effector memory CD8+ lymphocytes, exhausted CD8+ lymphocytes showed lower MALAT1 expression.

Eighty percent of genes, the expression of which significantly varied with MALAT1 expression, were the ones anti-correlating with MALAT1 expression in all T lymphocytes. The corresponding percentages were 88% and 65% for CD4+ lymphocytes and CD8+ lymphocytes in the case of correlation assessment for individual T lymphocyte populations. Of genes showing a positive correlation with MALAT1 expression for CD4+ lymphocytes and CD8+ lymphocytes, 79 genes were shared among CD4+ lymphocyte and CD8+ lymphocyte subtypes, and >4.0-fold higher distinct genes correlating with MALAT1 among CD8+ lymphocytes (n=210) over CD4+ ones (n=47) were detected.

Among CD4+ T lymphocytes, the expression of genes anti-correlating with MALAT1 expression was more significant in cluster 2, whereas a genetic signature with a strong positive correlation with MALAT1 was observed in cluster 0, cluster 1, and cluster 5. Cluster 2 cells mainly comprised CD4+ Th1 lymphocytes, whereas cells of cluster 0, cluster 1, and cluster 5 primarily comprised naive or effector memory CD4+ T lymphocytes. Similarly, among CD8+ T lymphocytes, cluster 2 mainly comprised MALAT1 anti-correlating genes. Exhausted CD8+ lymphocytes were enriched with MALAT1 anti-correlating genes, whereas MALAT1 correlated signature showed resident memory and effector memory CD8+ T lymphocyte CD8+ T lymphocyte enrichment.

Overall, the study findings showed that reduced MALAT1 expression was characteristic of proliferative T lymphocytes in COVID-19 patients.

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

Journal references:

Article Revisions

  • May 17 2023 - The preprint preliminary research paper that this article was based upon was accepted for publication in a peer-reviewed Scientific Journal. This article was edited accordingly to include a link to the final peer-reviewed paper, now shown in the sources section.
Pooja Toshniwal Paharia

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Pooja Toshniwal Paharia

Pooja Toshniwal Paharia is an oral and maxillofacial physician and radiologist based in Pune, India. Her academic background is in Oral Medicine and Radiology. She has extensive experience in research and evidence-based clinical-radiological diagnosis and management of oral lesions and conditions and associated maxillofacial disorders.

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