A Genome-Wide Association Study of Survival in Patients with Sepsis
Notice bibliographique
Résumé
Abstract Background Sepsis is a severe systemic inflammatory response to infections that is accompanied by organ dysfunction and has a high mortality rate in adult intensive care units (ICUs). Most genetic studies have identified gene variants associated with development and outcomes of sepsis focusing on biological candidates. We conducted the first genome-wide association study (GWAS) of 28-day survival in adult patients with sepsis. Methods This study was conducted in two stages. The first stage was performed on 687 European sepsis patients from the GEN-SEP network and 7.5 million imputed variants. Association testing was conducted with Cox regression models, adjusting by sex, age, and the main principal components of genetic variation. A second stage focusing on the prioritized genetic variants was performed on 2,063 ICU sepsis patients (1,362 European Americans and 701 African Americans) from the MESSI study. A meta-analysis of results from the two stages was conducted and significance was established at p <5.0×10 −8 . Whole-blood transcriptomic and functional annotations were evaluated on the identified genes and variants. Findings We identified three independent variants associated with reduced 28-day sepsis survival, including a missense variant in SAMD9 (hazard ratio [95% confidence interval]=1.64 [1.37-6.78], p =4.92×10 −8 ). SAMD9 encodes a mediator of the inflammatory response to tissue injury that is overexpressed in peripheral blood of non-surviving sepsis patients compared to those surviving ( p =2.18×10 −3 ). Interpretation We performed the first GWAS of 28-day sepsis survival and identified novel variants associated with reduced survival. Our findings could allow the identification of novel targets for sepsis treatment and patient risk stratification. Research in context Evidence before this study Sepsis is defined as a life-threatening clinical syndrome of physiological, pathological, and biochemical abnormalities caused by a dysregulated host response to an infection, and with long-term physical, psychological, and cognitive disabilities. Many genetic studies have focused on identifying genetic risk factors associated with sepsis development and severity, but only four genome-wide association studies (GWAS) have been published to date. Three of them focused on sepsis mortality. The first study identified that common genetic variation in the FER gene associated with a reduced risk of death. The second study found variants associated with an increased risk of death in VPS13A , which is key in autophagic degradation. In the last study, variants of the CISH gene, involved in cytokine regulation, were associated with the risk of death. Nevertheless, there is a lack of GWAS focused on sepsis survival, which takes into account the probability estimates of death for each patient over time. Added value of this study To the best of our knowledge, we provide the results of the first GWAS of 28-day sepsis survival conducted to date. In this two-staged study, we identified three novel loci associated with reduced 28-day survival among sepsis patients. We identified one missense variant in SAMD9 , which encodes a critical regulator in the inflammatory response and apoptosis. A significant upregulation of SAMD9 gene expression in whole blood was observed among non-surviving sepsis patients compared to those surviving. Associations were also found for one intergenic variant to SLC5A12\FIBIN and an intergenic variant to two non-coding RNAs (LINC00378\MIR3169). Implications of all the available evidence The identification of effective prognostic genetic markers in sepsis is a promising instrument for clinical practice. This study identified three novel genetic factors of fatal outcomes, all having interesting and important biological plausibly that could serve as novel targets for sepsis treatment. This knowledge is important to propose effective sepsis treatments and will be central in the development of personalized medicine approaches.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,003 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 source (Gemma direct ou Codex distillé), 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 ».