Biology subjects

Da Costa, L.

Publications and source records attributed to Da Costa, L..

5 recordsLinked to original sources

bioRxiv2025

Reducing the CAV1-dependent trafficking of G6PC1 in the liver protects against the development of type 2 diabetes

Targeting hepatic gluconeogenesis is an efficient strategy to counteract the development of type 2 diabetes. Hepatic glucose production into the bloodstream is controlled by the GLUT2 transporter and a vesicular pathway dependent on Caveolin-1 (CAV1) involving G6PC1 location at the plasma membrane. We hypothesized that decreasing hepatic gluconeogenesis by targeting CAV1 specifically in the liver (L.Cav1-/- mice) improves energy and glucose metabolism in diabetic mice. Here we show that the absence of hepatic CAV1 increases insulin sensitivity, glucose tolerance and decreases fasting hyperglycemia and hyperinsulinemia in mice feeding a high fat high sucrose diet (HFHS diet). The decrease in insulin sensitivity takes place also in L.Cav1-/- mice feeding a standard diet (STD diet). Moreover, we demonstrated an improvement of glycemic control when hepatic Cav1 is deleted in previously prediabetic mice. In parallel, the absence of CAV1 in the liver reduces body weight gain and lipid intestinal absorption. Together these findings highlight that the vesicular pathway of glucose production represents a promising therapeutic target in the prevention of type 2 diabetes.

physiology↗

bioRxiv2022

A mixed generative model of auditory word repetition

In this paper, we introduce a word repetition generative model (WORM), which--when combined with an appropriate belief updating scheme--is capable of inferring the word that should be spoken when presented with an auditory cue. Our generative model takes a deep temporal form, combining both discrete and continuous states. This allows a (synthetic) WORM agent to perform categorical inference on continuous acoustic signals, and--based on the same model--to repeat heard words at the appropriate time. From the perspective of word production, the model simulates how high-level beliefs about discrete lexical, prosodic and context attributes give rise to continuous acoustic signals at the sensory level. From the perspective of word recognition, it simulates how continuous acoustic signals are recognised as words and, how (and when) they should be repeated. We establish the face validity of our generative model by simulating a word repetition paradigm in which a synthetic agent or a human subject hears a target word and subsequently reproduces that word. The repeated word should be the target word but differs acoustically. The results of these simulations reveal how the generative model correctly infers what must be repeated, to the extent it can successfully interact with a human subject. This provides a formal process theory of auditory perception and production that can be deployed in health and disease. We conclude with a discussion of how the generative model could be scaled-up to include a larger phonetic and phonotactic repertoire, complex higher-level attributes (e.g., semantic, concepts, etc.), and produce more elaborate exchanges.

neuroscience↗

bioRxiv2019

Glucocorticoids Induce the Expansion of an Immature Human CFU-E Population

Despite effective clinical use, the mechanistic bases for the regulation of human erythropoiesis by glucocorticoids remain poorly understood. Here, we employed an erythroid culture system to differentiate primary human CD34+ cells isolated from control peripheral blood, cord blood and patients with Diamond Blackfan anemia (DBA), as model of an erythropoietic disorder treated with glucocorticoids. We found that the response to Dexamethasone is dependent on the developmental origin of the source of CD34+ cells, specifically increasing the expansion of CD34+ cells from peripheral blood but not cord blood. We also demonstrated that Dex treatment leads to the expansion of a novel immature colony-forming unit-erythroid (CFU-E) population in peripheral blood which is uniquely responsible for the proliferative effects observed during human adult erythropoiesis. Dex treatment of peripheral blood CFU-E cells also induced p57Kip2 expression while patients with DBA resistant to steroids had altered p57Kip2 expression that did not increase with Dex. Furthermore, shRNA knockdown of p57Kip2 reduced proliferation and abrogated the effects of Dex. Finally, proteomics of Dex-treated CFU-E from peripheral blood and cord blood additionally revealed novel Dex targets in the erythroid system. Altogether, these results provide novel insights into the regulation of human erythropoiesis by glucocorticoids.\n\nGraphical Abstract\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=157 SRC=\"FIGDIR/small/722850v1_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (32K):\norg.highwire.dtl.DTLVardef@c5c076org.highwire.dtl.DTLVardef@dec2f9org.highwire.dtl.DTLVardef@d27737org.highwire.dtl.DTLVardef@190c795_HPS_FORMAT_FIGEXP M_FIG C_FIG

developmental biology↗

bioRxiv2018

The Genetic Landscape of Diamond-Blackfan Anemia

Diamond-Blackfan anemia (DBA) is a rare bone marrow failure disorder that affects 1 in 100,000 to 200,000 live births and has been associated with mutations in components of the ribosome. In order to characterize the genetic landscape of this genetically heterogeneous disorder, we recruited a cohort of 472 individuals with a clinical diagnosis of DBA and performed whole exome sequencing (WES). Overall, we identified rare and predicted damaging mutations in likely causal genes for 78% of individuals. The majority of mutations were singletons, absent from population databases, predicted to cause loss of function, and in one of 19 previously reported genes encoding for a diverse set of ribosomal proteins (RPs). Using WES exon coverage estimates, we were able to identify and validate 31 deletions in DBA associated genes. We also observed an enrichment for extended splice site mutations and validated the diverse effects of these mutations using RNA sequencing in patientderived cell lines. Leveraging the size of our cohort, we observed several robust genotype-phenotype associations with congenital abnormalities and treatment outcomes. In addition to comprehensively identifying mutations in known genes, we further identified rare mutations in 7 previously unreported RP genes that may cause DBA. We also identified several distinct disorders that appear to phenocopy DBA, including 9 individuals with biallelic CECR1 mutations that result in deficiency of ADA2. However, no new genes were identified at exome-wide significance, suggesting that there are no unidentified genes containing mutations readily identified by WES that explain > 5% of DBA cases. Overall, this comprehensive report should not only inform clinical practice for DBA patients, but also the design and analysis of future rare variant studies for heterogeneous Mendelian disorders.

genetics↗

bioRxiv2017

Oscillatory Default Mode Network Coupling In Concussion

BackgroundConcussion is a common form of mild traumatic brain injury (mTBI). Despite the descriptor mild, a single injury can leave long-lasting and sustained alterations to brain function, including changes to localised activity and large-scale interregional communication. Cognitive complaints are thought to arise from such functional deficits. We investigated the impact of injury on neurophysiological and functionally-specialised resting networks, known as intrinsic connectivity networks (ICNs), using MEG.\n\nMethodsWe assessed neurophysiological connectivity in 40 males, 20 with concussion, 20 without, using MEG. Regions-of-interest that comprise nodes of ICNs were defined, and their time courses derived using a beamformer approach. Pairwise fluctuations and covariations in band-limited amplitude envelopes were computed reflecting measures of functional connectivity. Intra-network connectivity was compared between groups using permutation testing, and correlated with symptoms.\n\nResultsWe observed increased resting spectral connectivity in the default mode and motor networks in our concussion group when compared with controls, across alpha through gamma ranges. Moreover, these differences were not explained by power spectrum density (absolute changes in the spectral profiles within the ICNs). Furthermore, this increased coupling was significantly associated with symptoms in the DMN and MOT networks - but once accounting for comorbid symptoms (including, depression, anxiety, and ADHD) only the DMN continued to be associated with symptoms.\n\nConclusionThe DMN network plays a critical role in shifting between cognitive tasks. These data suggest even a single concussion can perturb the intrinsic coupling of functionally-specialised networks in the brain and may explain persistent and wide-ranging symptomatology.

neuroscience↗