31 research outputs found

    Polyphenols and Their Nanoformulations: Protective Effects against Human Diseases

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    Polyphenols are the secondary metabolites synthesized by the plants as a part of defense machinery. Owing to their antioxidant, anti-inflammatory, anticancerous, antineoplastic, and immunomodulatory effects, natural polyphenols have been used for a long time to prevent and treat a variety of diseases. As a result, these phytochemicals may be able to act as therapeutic agents in treating cancer and cardiovascular and neurological disorders. The limited bioavailability of polyphenolic molecules is one issue with their utilization. For the purpose of increasing the bioavailability of these chemicals, many formulation forms have been developed, with nanonization standing out among them. The present review outlines the biological potential of nanoformulated plant polyphenolic compounds. It also summarizes the employability of various polyphenols as nanoformulations for cancer and neurological and cardiovascular disease treatment. Nanoencapsulated polyphenols, singular or in combinations, effective both in vitro and in vivo, need more investigation

    Upregulation of Trem2 expression occurs exclusively on microglial contact with plaques

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    Using spatial cell-type-enriched transcriptomics, we compare plaque-induced gene (PIG) expression in microglia touching plaques, neighboring plaques, and far from plaques in 18-month-old APPNLF/NLF knock-in mice with and without the Alzheimer’s disease risk mutation Trem2R47H/R47H. We report that, in AppNLF/NLF mice, expression of 35/55 PIGs, is exclusively upregulated in microglia that are touching plaques. In 7 PIGs including Trem2 this upregulation is prevented by the Trem2R47H/R47H mutation. Unlike in young mice, knockin of the Trem2R47H/R47H mutation does not significantly decrease the Trem2 expression but decreases protein levels by 20% in the absence of plaques. On plaques, despite the mutation preventing increased gene expression, TREM2 protein levels increased by 1.6-fold (compared to 3-fold with Trem2WT/WT) and microglial density increased 20-fold compared to 30-fold. Hence microglia must touch plaques before Trem2 gene expression is increased but small changes in protein expression can increase microglia density without a change in gene expression

    Plaque contact and unimpaired Trem2 is required for the microglial response to amyloid pathology

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    Using spatial cell-type-enriched transcriptomics, we compare plaque-induced gene (PIG) expression in microglia-touching plaques, neighboring plaques, and far from plaques in an aged Alzheimer’s mouse model with late plaque development. In 18-month-old APPNL-F/NL-F knockin mice, with and without the Alzheimer’s disease risk mutation Trem2R47H/R47H, we report that expression of 38/55 PIGs have plaque-induced microglial upregulation, with a subset only upregulating in microglia directly contacting plaques. For seven PIGs, including Trem2, this upregulation is prevented in APPNL-F/NL-FTrem2R47H/R47H mice. These TREM2-dependent genes are all involved in phagocytic and degradative processes that we show correspond to a decrease in phagocytic markers and an increase in the density of small plaques in Trem2-mutated mice. Furthermore, despite the R47H mutation preventing increased Trem2 gene expression, TREM2 protein levels and microglial density are still marginally increased on plaques. Hence, both microglial contact with plaques and functioning TREM2 are necessary for microglia to respond appropriately to amyloid patholog

    CHD8 suppression impacts on histone H3 lysine 36 trimethylation and alters RNA alternative splicing

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    Disruptive mutations in the chromodomain helicase DNA-binding protein 8 gene (CHD8) have been recurrently associated with autism spectrum disorders (ASDs). Here we investigated how chromatin reacts to CHD8 suppression by analyzing a panel of histone modifications in induced pluripotent stem cell-derived neural progenitors. CHD8 suppression led to significant reduction (47.82%) in histone H3K36me3 peaks at gene bodies, particularly impacting on transcriptional elongation chromatin states. H3K36me3 reduction specifically affects highly expressed, CHD8-bound genes and correlates with altered alternative splicing patterns of 462 genes implicated in ‘regulation of RNA splicing’ and ‘mRNA catabolic process’. Mass spectrometry analysis uncovered a novel interaction between CHD8 and the splicing regulator heterogeneous nuclear ribonucleoprotein L (hnRNPL), providing the first mechanistic insights to explain the CHD8 suppression-derived splicing phenotype, partly implicating SETD2, a H3K36me3 methyltransferase. In summary, our results point toward broad molecular consequences of CHD8 suppression, entailing altered histone deposition/maintenance and RNA processing regulation as important regulatory processes in ASD

    Knock-in models related to Alzheimer’s disease: synaptic transmission, plaques and the role of microglia

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    Funder: Cure Alzheimer's Fund; doi: http://dx.doi.org/10.13039/100007625Funder: UK Dementia Research Institute (GB)Funder: Censejo Nacional de Ciencia Tecnilogia (MX)Funder: Alzheimerfonden; doi: http://dx.doi.org/10.13039/501100008599Funder: Dolby Family FundAbstract: Background: Microglia are active modulators of Alzheimer’s disease but their role in relation to amyloid plaques and synaptic changes due to rising amyloid beta is unclear. We add novel findings concerning these relationships and investigate which of our previously reported results from transgenic mice can be validated in knock-in mice, in which overexpression and other artefacts of transgenic technology are avoided. Methods: AppNL-F and AppNL-G-F knock-in mice expressing humanised amyloid beta with mutations in App that cause familial Alzheimer’s disease were compared to wild type mice throughout life. In vitro approaches were used to understand microglial alterations at the genetic and protein levels and synaptic function and plasticity in CA1 hippocampal neurones, each in relationship to both age and stage of amyloid beta pathology. The contribution of microglia to neuronal function was further investigated by ablating microglia with CSF1R inhibitor PLX5622. Results: Both App knock-in lines showed increased glutamate release probability prior to detection of plaques. Consistent with results in transgenic mice, this persisted throughout life in AppNL-F mice but was not evident in AppNL-G-F with sparse plaques. Unlike transgenic mice, loss of spontaneous excitatory activity only occurred at the latest stages, while no change could be detected in spontaneous inhibitory synaptic transmission or magnitude of long-term potentiation. Also, in contrast to transgenic mice, the microglial response in both App knock-in lines was delayed until a moderate plaque load developed. Surviving PLX5266-depleted microglia tended to be CD68-positive. Partial microglial ablation led to aged but not young wild type animals mimicking the increased glutamate release probability in App knock-ins and exacerbated the App knock-in phenotype. Complete ablation was less effective in altering synaptic function, while neither treatment altered plaque load. Conclusions: Increased glutamate release probability is similar across knock-in and transgenic mouse models of Alzheimer’s disease, likely reflecting acute physiological effects of soluble amyloid beta. Microglia respond later to increased amyloid beta levels by proliferating and upregulating Cd68 and Trem2. Partial depletion of microglia suggests that, in wild type mice, alteration of surviving phagocytic microglia, rather than microglial loss, drives age-dependent effects on glutamate release that become exacerbated in Alzheimer’s disease

    Lessons from SARS-CoV-2 Pandemic: Evolution, Disease Dynamics and Future

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    The COVID-19 pandemic is rising at an unprecedented rate. The surging number of deaths every day, global lockdown and travel restrictions have resulted in huge losses to society. The impact is massive and will leave a historical footprint. The Spanish Flu of 1918, which was the last pandemic that had a similar impact, was shadowed under the consequences of World War I. All the brilliance, strength and economies of countries worldwide are aimed at fighting the COVID-19 pandemic. The knowledge about coronavirus dynamics, its nature and epidemiology are expanding every day. The present review aims to summarize the structure, epidemiology, symptoms, statistical status of the disease status, intervention strategies and deliberates the lessons learnt during the pandemic. The intervention approaches, antiviral drug repurposing and vaccine trials are intensified now. Statistical interpretations of disease dynamics and their projections may help the decision-makers

    Hypomorphic mutation of the mouse Huntington's disease gene orthologue.

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    Rare individuals with inactivating mutations in the Huntington's disease gene (HTT) exhibit variable abnormalities that imply essential HTT roles during organ development. Here we report phenotypes produced when increasingly severe hypomorphic mutations in the murine HTT orthologue Htt, (HdhneoQ20, HdhneoQ50, HdhneoQ111), were placed over a null allele (Hdhex4/5). The most severe hypomorphic allele failed to rescue null lethality at gastrulation, while the intermediate, though still severe, alleles yielded recessive perinatal lethality and a variety of fetal abnormalities affecting body size, skin, skeletal and ear formation, and transient defects in hematopoiesis. Comparative molecular analysis of wild-type and Htt-null retinoic acid-differentiated cells revealed gene network dysregulation associated with organ development that nominate polycomb repressive complexes and miRNAs as molecular mediators. Together these findings demonstrate that Htt is required both pre- and post-gastrulation to support normal development

    CAG repeat expansion in the Huntington's disease gene shapes linear and circular RNAs biogenesis.

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    Alternative splicing (AS) appears to be altered in Huntington's disease (HD), but its significance for early, pre-symptomatic disease stages has not been inspected. Here, taking advantage of Htt CAG knock-in mouse in vitro and in vivo models, we demonstrate a correlation between Htt CAG repeat length and increased aberrant linear AS, specifically affecting neural progenitors and, in vivo, the striatum prior to overt behavioral phenotypes stages. Remarkably, a significant proportion (36%) of the aberrantly spliced isoforms are not-functional and meant to non-sense mediated decay (NMD). The expanded Htt CAG repeats further reflect on a previously neglected, global impairment of back-splicing, leading to decreased circular RNAs production in neural progenitors. Integrative transcriptomic analyses unveil a network of transcriptionally altered micro-RNAs and RNA-binding proteins (Celf, hnRNPs, Ptbp, Srsf, Upf1, Ythd2) which might influence the AS machinery, primarily in neural cells. We suggest that this unbalanced expression of linear and circular RNAs might alter neural fitness, contributing to HD pathogenesis

    <i>Htt</i> CAG size dictates a specific linear AS signature in neural cells partly leading to NMD.

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    A) The Venn diagram reports the comparison between striatal (STR) and neuronal progenitors (NPC) SE events. All genotypes (Q20, Q80, Q92, Q111, Q140 and Q175) and time points (2, 6 and 10 months) for striatal districts and all genotypes (Q20, Q50, Q92, Q111) for NPC were combined. Shared SE events (18,85% of the total striatal SE events, p-value: 0, Fisher’s exact test) are indicated in the intersection. B) The histogram reveals shared GO&KEGG pathway between SE and NPC events, mainly involved in ‘cell junction’ and ‘synapse organization’. Terms are ordered by −log10(p−value). The number of genes in each term/pathway is indicated (numbers within columns). C) The Venn diagrams show the proportion of SE events in the striatum (STR) and neuronal progenitors (NPC) also annotated as NMD. More than one third of SE events (36.1% in STR and 36.2% in NPC) is annotated as NMD. The p-value of enrichment for each intersection is indicated. The tables for striatum and NPC, highlight the transcriptional dysregulation of Upf1, and Smg1, important regulators of the NMD pathway. D) A smaller proportion of SE events (7.8% in STR and 8.4% in NPC) intersected with transcripts subjected to m6A RNA modification (see methods). E-F) Motif analysis identified the splicing factors and/or RBP binding sites in the ± 100bp upstream and downstream adjacent regions to the alternatively spliced exons for the striatum (E) and for NPC (F). The p-value of enrichment testing for individual motifs in each data set is indicated. The candidate binding splicing factor and/or RBP family is shown.</p

    Related to Fig 4.

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    The spreadsheets (n = 12) report 1. the circRNA and 2. Linear RNAs count in mouse neuronal progenitors (NPC) and 3. 4. embryonic stem cells (ESC) from the in vitro Htt CAG expanded alleles. Data are presented for all genotypes (Q20, Q50, Q92, Q111) for biological duplicate experiments. 5. Total list of dysregulated circRNAs in ESC and NPC. The comparison between the two most extreme Htt CAG expanded alleles (Q20 versus Q111) is reported. The list of 6. GO terms and 7. pathways associated to the genes originating differentially expressed circRNAs from the NPC Q20 versus Q111 comparison reported in Fig 4A is presented. 8. List of the 12 circRNAs satisfying the 3 stringent criteria of decreasing expression and negative correlation with Htt CAG, significantly different expression by circTest (see Methods for further details) is presented. CircRNA identification (ID), Chromosomal location (Chr), genomic coordinates, strand, overall circularization region and circRATIO [ratio circRNA / (circRNA+linear)] is reported for each molecule. 9. CISBP and 10. POSTAR motif analysis (see methods) of the sequences adjacent (100bp +/-) to circularizing points for the 12 stringently defined circRNAs (Fig 4D). 11. Mbnl1 CLIP biding sites on the 12 stringently defined circRNAs (Fig 4D). 12. The total list of transcriptionally dysregulated (DE) small RNA is presented for the ESC and NPC comparisons for the Q20 versus Q111. (XLSX)</p
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