Gene Co-Expression Network Modular Analysis Reveals Altered Immune Mechanisms in HIV-HAND

RNA-Seq analysis reveals the long noncoding RNAs associated with immunity in wild Myotis myotis bats

BACKGROUND

Bats possess a uniquely adapted immune system that enables them to live with viral infections without the expected maladies. The molecular basis and regulation of bats' immune response is still not fully understood. Long non-coding RNAs (lncRNAs) represent an emerging class of molecules with critical regulatory roles in multiple biological processes, including immunity. We hypothesise that lncRNA-based regulation in bats may enable them to limit disease and live with viral pathogens.

RESULTS

We developed a lncRNA prediction pipeline to annotate the long non-coding transcriptome across multiple bat tissues and at the population level. Characterisation of our lncRNA dataset based on 100 blood transcriptomes from wild Myotis myotis bats revealed lower and more tissue-specific expression compared with coding genes, reduced GC content and shorter length distributions, consistent with lncRNA profiles observed in other species. Using WGCNA network analyses and gene ontology, we identified two mRNA-lncRNA co-expression modules in Myotis myotis associated with distinct immune response: one linked to T-cell activation and vial processes, and the other to inflammation. From these immune-related lncRNAs, we selected four candidates with high translational potential for regulating viral infections and inflammation. These include a newly identified lncRNA, BatLnc1, with potential antiviral functions; the M. myotis ortholog of TUG1, implicated in viral-host interactions; and well-known lncRNAs MALAT1 and NEAT1, recognised for their roles in inflammatory regulation.

CONCLUSIONS

We conducted the first ab initio prediction of lncRNAs in a non-model bat species, the wild-caught M. myotis. Our network analysis revealed significant variation in immune status among a subset of individuals, potentially due to pathogenic conditions. From these variations, we identified lncRNAs most likely associated with immune response in bats. This initial exploration lays the groundwork for future experimental validations of lncRNA functions, offering promising insights into their role in bat immunity.

ATF4 Signaling in HIV-1 Infection: Viral Subversion of a Stress Response Transcription Factor

Cellular integrated stress response (ISR), the mitochondrial unfolded protein response (UPRmt), and IFN signaling are associated with viral infections. Activating transcription factor 4 (ATF4) plays a pivotal role in these pathways and controls the expression of many genes involved in redox processes, amino acid metabolism, protein misfolding, autophagy, and apoptosis. The precise role of ATF4 during viral infection is unclear and depends on cell hosts, viral agents, and models. Furthermore, ATF4 signaling can be hijacked by pathogens to favor viral infection and replication. In this review, we summarize the ATF4-mediated signaling pathways in response to viral infections, focusing on human immunodeficiency virus 1 (HIV-1). We examine the consequences of ATF4 activation for HIV-1 replication and reactivation. The role of ATF4 in autophagy and apoptosis is explored as in the context of HIV-1 infection programmed cell deaths contribute to the depletion of CD4 T cells. Furthermore, ATF4 can also participate in the establishment of innate and adaptive immunity that is essential for the host to control viral infections. We finally discuss the putative role of the ATF4 paralogue, named ATF5, in HIV-1 infection. This review underlines the role of ATF4 at the crossroads of multiple processes reflecting host-pathogen interactions.

Navigating the Gene Co-Expression Network and Drug Repurposing Opportunities for Brain Disorders Associated with Neurocognitive Impairment

Neurocognitive impairment refers to a spectrum of disorders characterized by a decline in cognitive functions such as memory, attention, and problem-solving, which are often linked to structural or functional abnormalities in the brain. While its exact etiology remains elusive, genetic factors play a pivotal role in disease onset and progression. This study aimed to identify highly correlated gene clusters (modules) and key hub genes shared across neurocognition-impairing diseases, including Alzheimer's disease (AD), Parkinson's disease with dementia (PDD), HIV-associated neurocognitive disorders (HAND), and glioma. Herein, the microarray datasets AD (GSE5281), HAND (GSE35864), glioma (GSE15824), and PD (GSE7621) were used to perform Weighted Gene Co-expression Network Analysis (WGCNA) to identify highly preserved modules across the studied brain diseases. Through gene set enrichment analysis, the shared modules were found to point towards processes including neuronal transcriptional dysregulation, neuroinflammation, protein aggregation, and mitochondrial dysfunction, hallmarks of many neurocognitive disorders. These modules were used in constructing protein-protein interaction networks to identify hub genes shared across the diseases of interest. These hub genes were found to play pivotal roles in processes including protein homeostasis, cell cycle regulation, energy metabolism, and signaling, all associated with brain and CNS diseases, and were explored for their drug repurposing experiments. Drug repurposing based on gene signatures highlighted drugs including Dorzolamide and Oxybuprocaine, which were found to modulate the expression of the hub genes in play and may have therapeutic implications in neurocognitive disorders. While both drugs have traditionally been used for other medical purposes, our study underscores the potential of a combined WGCNA and drug repurposing strategy for searching for new avenues in the simultaneous treatment of different diseases that have similarities in gene co-expression networks.