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Ramirez, M. J.

Publications and source records attributed to Ramirez, M. J..

3 recordsLinked to original sources

Trimethylamine N-Oxide (TMAO) links peripheral insulin resistance and cognitive deficiencies in a senescence accelerated mouse model

It has been established that ageing is the major risk factor for cognitive deficiency or neurodegenerative diseases such as Alzheimers disease (AD) and it is becoming increasingly evident that insulin resistance is another factor. Biological plausibility for a link between insulin resistance and dementia is relevant for understanding disease etiology, and to form bases for prevention efforts to decrease disease burden. The dysfunction of the insulin signaling system and glucose metabolism has been proposed to be responsible for brain aging. Normal insulin signaling in the brain is required to mediate growth, metabolic functions, and the survival of neurons and glia. Insulin receptors are densely expressed in the olfactory bulb, the cerebral cortex and the hippocampus and regulate neurotransmitter release and receptor recruitment. In normal elderly individuals, reduced glucose tolerance and decreased insulin levels in the aged brain are typically observed. Furthermore, insulin signaling is aberrantly activated in the AD brain, leading to non-responsive insulin receptor signaling. The senescence accelerated mouse (SAMP8) mouse was one of the accelerated senescence strains that spontaneously developed from breeding pairs of the AKR/J series. The SAMP8 mouse develops early learning and memory deficits (between 6 and 8 months) together with other characteristics similar to those seen in Alzheimers disease. The present project proposes the investigation of the missing link between aging, insulin resistance and dementia. Peripheral but not central insulin resistance was found in SAMP8 mice accompanied by cognitive deficiencies. Furthermore, a marked peripheral inflammatory state (i.e. significantly higher adipose tissue TNF- and IL6 levels) were observed in SAMP8 mice, followed by neuroinflammation that could be due to a higher cytokine leaking into the brain across a aging-disrupted BBB. Moreover, aging-induced gut dysbiosis produces higher TMAO that could also contribute to the peripheral and central inflammatory tone as well as to the cognitive deficiencies observed in SAMP8 mice. All those alterations were reversed by DMB, a treatment inhibits the transformation of choline, carnitine and crotonobetaine, decreaseing TMAO levels. The ever-increasing incidence of neurodegenerative diseases not only limits the life quality of the affected individuals and their families but also poses an enormous demand on the societies. Thus, it is instrumental to pursue novel promising approaches to prevent and treat it at the highest possible speed to rapidly translate them to clinical practice. From this point of view, data obtained from this project will be instrumental to validate the principle approach of microbial dysbiosis and increased TMAO secretion as a key link between aging, insulin resistance and dementia. Collectively, the proposed experiments ideally integrate the aim to promote a novel approach to improve the lives of those suffering from cognitive disturbances.

animal behavior and cognition↗

Incorporating topological and age uncertainty into event-based biogeography supports paleo-islands in Galapagos and ancient connections among Neotropical dry forests

Event-based biogeographic methods, such as dispersal-extinction-cladogenesis, have become increasingly popular for attempting to reconstruct the biogeographic history of organisms. Such methods employ distributional data of sampled species and a dated phylogenetic tree to estimate ancestral distribution ranges. Because the input tree is often a single consensus tree, uncertainty in topology and age estimates are seldom taken into account, even when they may affect the outcome of biogeographic estimates. Even when such uncertainties are taken into account for estimates of ancestral ranges, they are usually ignored when researchers compare competing biogeographic hypotheses. We explore the effect of incorporating this uncertainty in a biogeographic analysis of the 21 species of sand spiders (Sicariidae: Sicarius) from Neotropical xeric biomes, based on a total-evidence phylogeny including a complete sampling of the genus. By using a custom R script made available here, we account for uncertainty in ages and topology by estimating ancestral ranges over a sample of trees from the posterior distribution of a Bayesian analysis, and for uncertainty in biogeographic estimates by using stochastic maps. This approach allows for counting biogeographic events such as dispersal among areas, counting lineages through time per area, and testing biogeographic hypotheses, while not overestimating the confidence in a single topology. Including uncertainty in ages indicates that Sicarius dispersed to the Galapagos Islands when the archipelago was formed by paleo-islands that are now drowned; model comparison strongly favors a scenario where dispersal took place before the current islands emerged. We also investigated past connections among currently disjunct Neotropical dry forests; failing to account for topological uncertainty underestimates possible connections among the Caatinga and Andean dry forests in favor of connections among Caatinga and Caribbean+Mesoamerican dry forests. Additionally, we find that biogeographic models including a founder-event speciation parameter ("+J") are more prone to suffer from the overconfidence effects of estimating ancestral ranges using a single topology. This effect is alleviated by incorporating topological and age uncertainty while estimating stochastic maps, increasing the similarity in the inference of biogeographic events between models with or without a founder-event speciation parameter. We argue that incorporating phylogenetic uncertainty in biogeographic hypothesis-testing is valuable and should be a commonplace approach in the presence of rogue taxa or wide confidence intervals in age estimates, and especially when using models including founder-event speciation.

evolutionary biology↗

Generating new FANCA-deficient HNSCC cell lines by genomic editing recapitulate the cellular phenotypes of Fanconi anemia

Fanconi anemia (FA) patients have an exacerbated risk of head and neck squamous cell carcinoma (HNSCC). Treatment is challenging as FA patients display enhanced toxicity to standard treatments, including radio/chemotherapy. Therefore better therapies as well as new disease models are urgently needed. We have used CRISPR/Cas9 editing tools in order to interrupt the human FANCA gene by the generation of insertions/deletions (indels) in exon 4 in two cancer cell lines from sporadic HNSCC having no mutation in FA-genes: CAL27 and CAL33 cells. Our approach allowed efficient editing, subsequent purification of single-cell clones, and Sanger sequencing validation at the edited locus. Clones having frameshift indels in homozygosis did not express FANCA protein and were selected for further analysis. When compared with parental CAL27 and CAL33, FANCA-mutant cell clones displayed a FA-phenotype as they i) are highly sensitive to DNA interstrand crosslink (ICL) agents such as mitomycin C (MMC) or cisplatin, ii) do not monoubiquitinate FANCD2 upon MMC treatment and therefore iii) do not form FANCD2 nuclear foci, and iv) they display increased chromosome fragility and G2 arrest after diepoxybutane (DEB) treatment. These FANCA-mutant clones display similar growth rates as their parental cells. Interestingly, mutant cells acquire phenotypes associated with more aggressive disease, such as increased migration in wound healing assays. Therefore, CAL27 and CAL33 cells with FANCA mutations are phenocopies of FA-HNSCC cells.

cancer biology↗