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Oliveros, G.

Publications and source records attributed to Oliveros, G..

2 recordsLinked to original sources

Diazoxide/dibenozylmethane treatment mitigates spatial memory deficits and pathology and up regulates protective genes in an Alzheimer's transgenic rat model

INTRODUCTIONAlzheimers disease (AD) is a multifactorial disease for which therapeutic efficacy should benefit from a multi-target approach. Thus, we evaluated a combined chronic treatment with diazoxide (DZ) and dibenzoylmethane (DIB). DZ is a potassium channel activator. DIB counteract eIF2-P-driven stress responses. The individual therapeutic benefits of each drug on attenuating neurodegeneration and apoptosis were previously examined, but not as a combined treatment. METHODSWe evaluated the efficacy of chronic DZ/DIB treatment on TgF344-AD rats (Tg-AD) at 4- and 11-months of age and wild-type littermates. Spatial working memory was assessed with the radial 8-arm maze, and AD pathology by immunohistochemistry. We used RNA sequencing for transcriptome analysis. RESULTSDZ/DIB-treatment mitigated the spatial memory deficits as well as the buildup of hippocampal A{beta} plaques and tau PHF exhibited by 11-month Tg-AD rats. The DZ/DIB-treatment had no effect on wild-type littermates. We did not detect AD-related deficits in untreated 4-month Tg-AD rats, but DZ/DIB-treatment altered their transcriptome. DZ/DIB-treatment of 4-month Tg-AD rats upregulated several genes normally downregulated in AD and/or aging. Expression of two potential early biomarkers for AD, EGR2 (early growth response 2) and HISIT1H2AA (histone H2AA), were also altered by the DZ/DIB treatment in 4-month Tg-AD rats. The treatment reduced levels of eIF2, a protein involved in abnormal translational repression and a contributing factor to neuronal loss. DISCUSSIONThis preclinical study represents the first report on the combined DZ/DIB-treatment. Besides the benefits of this treatment on spatial memory and AD pathology, we identified two potential early AD biomarkers. Furthermore, the DZ/DIB-treatment prevented downregulation of genes associated with AD and/or aging. Overall, our results strongly support that the combination DZ/DIB-treatment mitigates AD pathology. Evaluations across multiple AD-related models are warranted to further corroborate that the DZ/DIB combination is a candidate treatment for AD. HighlightsO_LIDZ/DIB treatment improves cognitive deficits and AD pathology in TgF344-AD rats C_LIO_LIEGR2 and HISIT1H2AA genes are potential early AD biomarkers in TgF344-AD rats C_LIO_LIDZ/DIB treatment of 4-month TgF344-AD rats blocks downregulation of AD/aging genes C_LI RESEARCH IN CONTEXT1. Systematic Review: We reviewed the literature using traditional sources (e.g., PubMed) to assess the status of DZ and DIB treatment individually in preclinical studies in animal models. To our knowledge there is no data with this chronic combined treatment. 2. Interpretation: Treatment takes advantage of a polypharmacological approach to AD therapeutics, considering the multifactorial nature of AD. DZ and DIB individually have been successful in mitigating hippocampal AD pathology but their combined effects were unknown, particularly in a rodent model that shows a more complete disease progression that incorporates aging as a risk factor. The effects of the treatment go beyond previous data in individual DZ and DIB treatment, supporting the need for combination drug treatments to treat a multifactorial disorder. 3. Future Directions: Investigate the potential of DZ/DIB treatment to stop the progression or ameliorate AD pathology when administered at a later age, when pathology is first detected. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=138 HEIGHT=200 SRC="FIGDIR/small/555966v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@7cc6a0org.highwire.dtl.DTLVardef@1d468feorg.highwire.dtl.DTLVardef@390f19org.highwire.dtl.DTLVardef@e40c8_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Multi-scale predictive modeling discovers Ibudilast as a polypharmacological agent to improve hippocampal dependent spatial learning and memory and mitigate plaque and tangle pathology in a transgenic rat model of Alzheimer's disease

Alzheimers disease (AD) is a multifactorial disease that exhibits cognitive deficits, neuronal loss, amyloid plaques, neurofibrillary tangles and neuroinflammation in the brain. We developed a multi-scale predictive modeling strategy that integrates machine learning with biophysics and systems pharmacology to model drug actions from molecular interactions to phenotypic responses. We predicted that ibudilast (IBU), a phosphodiesterase inhibitor and toll-like receptor 4 (TLR4) antagonist, inhibited multiple kinases (e.g., IRAK1 and GSG2) as off-targets, modulated multiple AD-associated pathways, and reversed AD molecular phenotypes. We address for the first time the efficacy of ibudilast (IBU) in a transgenic rat model of AD. IBU-treated transgenic rats showed improved cognition and reduced hallmarks of AD pathology. RNA sequencing analyses in the hippocampus showed that IBU affected the expression of pro-inflammatory genes in the TLR signaling pathway. Our results identify IBU as a potential therapeutic to be repurposed for reducing neuroinflammation in AD by targeting TLR signaling.

pharmacology and toxicology↗