Brain RNA profiling highlights multiple disease pathways in persons with HIV-associated neurocognitive disorder

OBJECTIVE

To discover microRNA (miRNA)-RNA transcript interactions dysregulated in brains from persons with HIV-associated neurocognitive disorder (HAND), we investigated RNA expression using machine learning tools.

DESIGN

Brain-derived host RNA transcript and miRNA expression was examined from persons with or without HAND using bioinformatics platforms.

METHODS

By combining next generation sequencing, droplet digital (dd)PCR quantitation of HIV-1 genomes, with bioinformatics and statistical tools, we investigated differential RNA expression in frontal cortex from persons without HIV [HIV(-)], with HIV without brain disease [HIV(+)], with HAND, or HAND with encephalitis (HIVE).

RESULTS

Expression levels for 147 transcripts and 43 miRNAs showed a minimum four-fold difference between clinical groups with a predominance of antiviral (type I interferon) signaling-related, neural cell maintenance-related, and neurodevelopmental disorder-related genes that was validated by gene ontology and molecular pathway inferences. Scale of signal-to-noise ratio (SSNR) and biweight midcorrelation (bicor) analyses identified 14 miRNAs and 45 RNA transcripts, which were highly correlated and differentially expressed ( P  ≤ 0.05). Machine learning applications compared regression models predicated on HIV-1 DNA, or RNA viral quantities that disclosed miR-4683 and miR-154-5p were dominant variables associated with differential expression of host RNAs. These miRNAs were also associated with antiviral-related, cell maintenance-related, and neurodevelopmental disorder-related genes.

CONCLUSION

Antiviral as well as neurodevelopmental disorder-related pathways in brain were associated with HAND, based on correlated RNA transcripts and miRNAs. Integrated molecular methods with machine learning offer insights into disease mechanisms, underpinning brain-related biotypes among persons with HIV that could direct clinical care.

SMPDL3B contributes to gastric adenocarcinoma cells progression by promoting the infiltration of M2 macrophages

Background/aim

The common disease gastric adenocarcinoma (GAC) has a high morbidity and mortality, so there is an urgent need for research to explore new diagnostic markers and therapeutic targets. This investigation was carried out to investigate the expression of sphingomyelin phosphodiesterase acid-like 3b (SMPDL3B) in GAC and its effects on tumor progression.

Materials and methods

Samples were collected from patients who underwent radical gastrectomy from January 2021 to December 2022. Along with the normal gastric epithelial cell lines GES-1 and SGC-7901, the AGS, MGC-803, and MSN-45 human gastric cancer cell lines were used to confirm SMPDL3B expression. RT-qPCR, Western blot, immunohistochemical, cell proliferation, assay of wound healing, transwell migration assay, invasion assay, flow cytometry, and immune evaluation experiments were carried out.

Results

SMPDL3B was found to be substantially expressed in GAC, and this condition has a bad prognosis. By establishing SMPDL3B knockdown and overexpression of GAC cell lines, this study confirmed that SMPDL3B promoted tumor cell proliferation, migration, and invasion. Additional bioinformatics research revealed a connection between SMPDL3B and immune cell infiltration in the GAC immunological microenvironment, which enhanced tumor cell proliferation by promoting the infiltration content of M2 macrophages.

Conclusion

This study determined the function of SMPDL3B for the clinical diagnosis, prediction, and novel management of GAC.