Search bioRxiv⌕ Search

Biology subjects

Dumont, G.

Publications and source records attributed to Dumont, G..

5 recordsLinked to original sources

Progressive deterioration of adaptive immune repertoires in Down syndrome linked to interferon hyperactivity and lymphoid tissue disorganization

Persons with Down syndrome (DS), the genetic condition caused by trisomy 21 (T21), display strong dysregulation of adaptive immunity, which underlies high risk of complications from infections, widespread autoimmunity, and poor vaccine responses. However, the mechanisms by which T21 dysregulates adaptive immunity across the lifespan remain poorly understood. We report here a multimodal analysis of adaptive immunity across development and aging in DS, including deep B cell profiling by mass cytometry matched to transcriptome and proteome data, B and T cell receptor sequencing (BCR, TCR), and spatial transcriptomics of tonsil tissue. T21 causes progressive shifts in B cell subsets together with accelerated age-dependent B cell loss linked to hyperactive interferon and JAK/STAT signaling. The peripheral immunoglobulin repertoire shows dysregulated class switching, progressive loss of diversity, differential VDJ usage, and imbalanced rates of somatic hypermutation across immunoglobulin isotypes mirrored by contraction and skewing of the TCR repertoire. In children with DS, tonsil tissues are highly disorganized with smaller germinal centers, fibrotic intrusions, lower rates of cell proliferation, strong inflammatory signaling, and transcriptional programs indicative of dysregulated lymphocyte homing and residence. Together, these results point to hyperactive interferon signaling as a driver of dysregulated adaptive immunity in DS amenable to early therapeutic intervention.

immunology↗

Altered Tonsillar Microbiome in Children with Down Syndrome and Obstructive Sleep Apnea

Background and ObjectivesChildren with Down syndrome (DS) have a high prevalence of obstructive sleep apnea (OSA) due to anatomic, neuromuscular, immunological and metabolic factors, yet the contribution of the tonsillar microbiome to airway obstruction in this population remains unexplored. We hypothesized that DS-associated OSA would be associated with a distinct tonsillar microbiome compared to non-DS OSA. MethodsTonsillar tissue from 22 DS and 18 NDS participants were analyzed by 16S rRNA sequencing. Alpha and beta diversity were assessed using Faiths phylogenetic diversity and UniFrac distances, respectively, and significantly different taxa were identified with ANCOM-BC and Mann-Whitney testing. ResultsAlthough overall microbial richness and community structure were similar between groups, overweight DS participants demonstrated increased phylogenetic diversity compared to normal-weight DS peers. Taxonomic profiling of the entire patient cohort revealed that in DS tonsils there were selective alterations in key genera with selective depletion of Haemophilus and enrichment of Staphylococcus, Rothia, and Lactobacillales. Haemophilus abundance correlated positively with tonsil weight in both cohorts. ConclusionsThese findings suggest that while global diversity is preserved, specific microbial shifts distinguish the DS tonsillar niche, potentially reflecting altered immune and metabolic environments associated with trisomy 21. Understanding these microbial differences may reveal mechanisms underlying the higher incidence and persistence of OSA in DS and inform targeted therapeutic strategies.

microbiology↗

Compensating functional connectivity changesdue to structural connectivity damage viamodifications of local dynamics

Neurological pathologies as e.g. Alzheimers Disease or Multiple Sclerosis are often associated to neurodegenerative processes affecting the strength and the transmission speed of long-range inter-regional fiber tracts. Such degradation of Structural Connectivity impacts on large-scale brain dynamics and the associated Functional Connectivity, eventually perturbing network computations and cognitive performance. Functional Connectivity however is not bound to merely mirror Structural Connectivity, but rather reflects the complex coordinated dynamics of many regions. Here, using analytical characterizations of toy models and computational simulations connectome-base whole-brain models, we predict that suitable modulations of regional dynamics could precisely compensate for the effects of structural degradation, as if the original Structural Connectivity strengths and speeds of conduction were effectively restored. The required dynamical changes are widespread and aspecific (i.e. they do not need to be restricted to specific regions) so that they could be potentially implemented via neuromodulation or pharmacological therapy, globally shifting regional excitability and/or excitation/inhibition balance. Computational modelling and theory thus suggest that, in the future therapeutic interventions could be designed to "repair brain dynamics" rather than structure to boost functional connectivity without having to block or revert neurodegenerative processes. AUTHOR SUMMARYNeurological disorders affect Structural Connectivity, i.e. the wiring infrastructure interlinking distributed brain regions. Here we propose that the resulting disruptions in Functional Connectivity, i.e. inter-regional coordination and information sharing, could be compensated by modifying local dynamics so to effectively emulate the restoration of Structural Connectivity (but through a suitable "software patch" rather than by repairing the "hardware"). For simple toy models involving a few regions we can achieve an analytical understanding of how structural and dynamical changes jointly control Functional Connectivity. We then show that the concept of "effective connectome change" via modulation of dynamics robustly extend also to simulation of large-scale models embedding realistic whole-brain connectivity. We thus forecast that novel therapeutic strategies could be devised, targeting dynamics rather than neurodegenerative mechanisms.

neuroscience↗

Landscape and climatic variations of the Quaternary shaped multiple secondary contacts among barn owls (Tyto alba) of the Western Palearctic

The combined actions of climatic variations and landscape barriers shape the history of natural populations. When organisms follow their shifting niches, obstacles in the landscape can lead to the splitting of populations, on which evolution will then act independently. When two such populations are reunited, secondary contact occurs in a broad range of admixture patterns, from narrow hybrid zones to the complete dissolution of lineages. A previous study suggested that barn owls colonized the Western Palearctic after the last glaciation in a ring-like fashion around the Mediterranean Sea, and conjectured an admixture zone in the Balkans. Here, we take advantage of whole-genome sequences of 94 individuals across the Western Palearctic to reveal the complex history of the species in the region using observational and modeling approaches. Even though our results confirm that two distinct lineages colonized the region, one in Europe and one in the Levant, they suggest that it predates the last glaciation and identify a narrow secondary contact zone between the two in Anatolia. Nonetheless, we also show that barn owls re-colonized Europe after the glaciation from two distinct glacial refugia: a western one in Iberia and an eastern one in Italy. Both glacial lineages now communicate via eastern Europe, in a wide and permeable contact zone. This complex history of populations enlightens the taxonomy of Tyto alba in the region, highlights the key role played by mountain ranges and large water bodies as barriers and illustrates the power of population genomics in uncovering intricate demographic patterns.

evolutionary biology↗

Transcriptional plasticity evolution in two strains of Spodoptera frugiperda (Lepidoptera: Noctuidae) feeding on alternative host-plants

AO_SCPLOWBSTRACTC_SCPLOWSpodoptera frugiperda, the fall armyworm (FAW), is an important agricultural pest in the Americas and an emerging pest in sub-Saharan Africa, India, East-Asia and Australia, causing damage to major crops such as corn, sorghum and soybean. While FAW larvae are considered polyphagous, differences in diet preference have been described between two genetic variants: the corn strain (sf-C) and the rice strain (sf-R). These two strains are sometimes considered as distinct species, raising the hypothesis that ost plant specialization might have driven their divergence. To test this hypothesis, we irst performed controlled reciprocal transplant (RT) experiments to address the impact of plant diet on several traits linked to the fitness of the sf-C and sf-R strains. The phenotypical data suggest that sf-C is specialized to corn. We then used RNA-Se to identify constitutive transcriptional differences between strains, regardless of diet, in laboratory as well as in natural populations. We found that variations in mitochon rial transcription levels are among the most substantial and consistent differences between the two strains. Since mitochondrial genotypes also vary between the strains, we believe the mitochondria may have a significant role in driving strain divergence.

evolutionary biology↗