Identification of nascent cardiovascular proteomes by cell-type-specific metabolic labeling in experimental sepsis mouse model
Notice bibliographique
Résumé
BACKGROUND – Sepsis is characterized by an overwhelming systemic inflammatory response to infection that may lead to multiple organ failure and death in over 20% of the estimated 49 million annual cases worldwide. Because sepsis-related inflammatory processes disturbing cardiac and endothelial cells homeostasis are still poorly understood, only few therapeutic strategies reached added-value efficacy in terms of mortality reduction in the critical care units. Using an innovative transgenic mouse line to detect the acute changes of newly synthetized proteins, we propose to assess the protein expression profile of cardiomyocytes and endothelial cells in a murine model of polymicrobial sepsis. METHODS – The Cre-recombinase mediated expression of mutant L274G-methionyl-tRNA synthetase (MetRS*) in transgenic mouse crosses enables the selective in vivo incorporation of azidonorleucine (ANL), a non-canonical methionine analog, in newly synthetized proteins. MetRS* mice expressing CDH5-creERT2 (CDH5, endothelial cells) or αMHC-MerCreMer (MCM, cardiomyocytes) underwent CLP (cecal ligation and puncture). The sepsis model was validated by echocardiography, inflammatory cytokine profiling and histology. Labeling efficiency of nascent proteins from MCM and CDH5 cells (heart and lung) were visualized by FUNCAT (Fluorescence non-canonical amino acid tagging) or purified by BONCAT (bioorthogonal non-canonical amino acid tagging) for mass spectrometry analysis. RESULTS – Significant elevation of circulating inflammatory cytokines proves the systemic inflammatory state of mice submitted to CLP compared to SHAM mice. Our experimental model also displays a significant impairment of the LV function at both systolic (reduced cardiac index) and diastolic levels (increased E/A and isovolumic relaxation time) confirming hemodynamics alteration related to sepsis. Metascape analysis showed expression changes for several proteins involved in the acute response to stress in both MCM and CDH5 samples. Overall, nascent protein synthesis is mainly reduced in MCM samples in sepsis (14 up/98 down), something not observed in CDH5 samples both in the heart (69 up/97 down) and in the lungs (137 up/43 down). Alterations in metabolic pathways such as pyruvate metabolism and glycolysis/gluconeogenesis were only observed in MCM samples while protein associated with focal adhesion, for example, was observed in heart and lungs CDH5 samples. CONCLUSIONS – The results of this study provide a better understanding of which proteins are altered in specific cell types in a sepsis model. We confirmed previously identified markers of inflammatory response in tissues, while identifying new protein candidates and signaling pathways that may contribute to key steps of sepsis detrimental effects and thus, offering potential new therapeutic avenues to curb the fatal outcomes of this disease. Supported by Canadian Institute of Health Research (CIHR) - Project Grants (399567) This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».