Molecularly stratified hypothalamic astrocytes are cellular foci for obesity.
| Autor: | Harkany T; Center for Brain Research, Medical University of Vienna., Tretiakov E; Center for Brain Research, Medical University of Vienna., Varela L; Yale University School of Medicine., Jarc J; Center for Brain Research, Medical University of Vienna., Rebernik P; Medical University of Vienna., Newbold S; Center for Brain Research, Medical University of Vienna., Keimpema E; Medical University of Vienna, Center for Brain Research., Verkhratsky A; The University of Manchester., Horvath T; Yale University., Romanov R; Medical University of Vienna. |
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| Jazyk: | angličtina |
| Zdroj: | Research square [Res Sq] 2024 Feb 09. Date of Electronic Publication: 2024 Feb 09. |
| DOI: | 10.21203/rs.3.rs-3748581/v1 |
| Abstrakt: | Astrocytes safeguard the homeostasis of the central nervous system 1,2 . Despite their prominent morphological plasticity under conditions that challenge the brain's adaptive capacity 3-5 , the classification of astrocytes, and relating their molecular make-up to spatially devolved neuronal operations that specify behavior or metabolism, remained mostly futile 6,7 . Although it seems unexpected in the era of single-cell biology, the lack of a major advance in stratifying astrocytes under physiological conditions rests on the incompatibility of 'neurocentric' algorithms that rely on stable developmental endpoints, lifelong transcriptional, neurotransmitter, and neuropeptide signatures for classification 6-8 with the dynamic functional states, anatomic allocation, and allostatic plasticity of astrocytes 1 . Simplistically, therefore, astrocytes are still grouped as 'resting' vs. 'reactive', the latter referring to pathological states marked by various inducible genes 3,9,10 . Here, we introduced a machine learning-based feature recognition algorithm that benefits from the cumulative power of published single-cell RNA-seq data on astrocytes as a reference map to stepwise eliminate pleiotropic and inducible cellular features. For the healthy hypothalamus, this walk-back approach revealed gene regulatory networks (GRNs) that specified subsets of astrocytes, and could be used as landmarking tools for their anatomical assignment. The core molecular censuses retained by astrocyte subsets were sufficient to stratify them by allostatic competence, chiefly their signaling and metabolic interplay with neurons. Particularly, we found differentially expressed mitochondrial genes in insulin-sensing astrocytes and demonstrated their reciprocal signaling with neurons that work antagonistically within the food intake circuitry. As a proof-of-concept, we showed that disrupting Mfn2 expression in astrocytes reduced their ability to support dynamic circuit reorganization, a time-locked feature of satiety in the hypothalamus, thus leading to obesity in mice. Overall, our results suggest that astrocytes in the healthy brain are fundamentally more heterogeneous than previously thought and topologically mirror the specificity of local neurocircuits. Competing Interests: Conflict of interest: The authors declare that they have no conflict of interest. |
| Databáze: | MEDLINE |
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