Differentially Expressed Genes and Molecular Susceptibility to Human Age-Related Diseases

• Published in: International journal of molecular sciences Vol. 24; no. 4; p. 3996
• Main Authors: Shikhevich, Svetlana, Chadaeva, Irina, Khandaev, Bato, Kozhemyakina, Rimma, Zolotareva, Karina, Kazachek, Anna, Oshchepkov, Dmitry, Bogomolov, Anton, Klimova, Natalya V, Ivanisenko, Vladimir A, Demenkov, Pavel, Mustafin, Zakhar, Markel, Arcady, Savinkova, Ludmila, Kolchanov, Nikolay A, Kozlov, Vladimir, Ponomarenko, Mikhail
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01-02-2023; MDPI
• Subjects: Age; age-related disease; Aggressive behavior; Aging; Aging - genetics; Animals; Atherosclerosis; Disease - genetics; Disease susceptibility; Gene Expression Profiling; Gene Expression Regulation; Genes; Genetic aspects; Genomes; Homology; human; Humans; Hypertension; Immune system; Meta-analysis; molecular marker; Periaqueductal gray area; qPCR; Rats; Rattus norvegicus; RNA-Seq; Senescence; Statistical analysis; Susceptibility; Transcriptome; Transcriptomes; Russia; correlation; RNA-Seq; Rattus norvegicus; molecular marker; age-related disease; meta-analysis; differentially expressed gene; qPCR; bootstrap; principal component; human
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms24043996

Mainstream transcriptome profiling of susceptibility versus resistance to age-related diseases (ARDs) is focused on differentially expressed genes (DEGs) specific to gender, age, and pathogeneses. This approach fits in well with predictive, preventive, personalized, participatory medicine and helps understand how, why, when, and what ARDs one can develop depending on their genetic background. Within this mainstream paradigm, we wanted to find out whether the known ARD-linked DEGs available in PubMed can reveal a molecular marker that will serve the purpose in anyone's any tissue at any time. We sequenced the periaqueductal gray (PAG) transcriptome of tame versus aggressive rats, identified rat-behavior-related DEGs, and compared them with their known homologous animal ARD-linked DEGs. This analysis yielded statistically significant correlations between behavior-related and ARD-susceptibility-related fold changes (log
values) in the expression of these DEG homologs. We found principal components, PC1 and PC2, corresponding to the half-sum and the half-difference of these log
values, respectively. With the DEGs linked to ARD susceptibility and ARD resistance in humans used as controls, we verified these principal components. This yielded only one statistically significant common molecular marker for ARDs: an excess of Fcγ receptor IIb suppressing immune cell hyperactivation.