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Enregistrement W4388424785 · doi:10.1101/2023.11.05.565725

CTRP7 as a Molecular Biomarker for Predicting Responsiveness to Pulmonary Vasodilators: Insights from Human and Animal Studies in Pulmonary Arterial Hypertension

2023· preprint· en· W4388424785 sur OpenAlexaff
Kaito Yamada, Taijyu Satoh, Nobuhiro Yaoita, Saori Yamamoto, Haruka Sato, Yusuke Yamada, Kohei Komaru, Naoki Chiba, Takashi Nakata, Kotaro Nochioka, Hisashi Oishi, Satoshi Miyata, Yoshinori Okada, Satoshi Yasuda

Notice bibliographique

RevuebioRxiv (Cold Spring Harbor Laboratory) · 2023
Typepreprint
Langueen
DomaineMedicine
ThématiquePulmonary Hypertension Research and Treatments
Établissements canadiensInstitute of Aging
Organismes subventionnairesnon disponible
Mots-clésBiomarkerPulmonary arteryProstacyclinPulmonary hypertensionInternal medicineMedicineVasodilationHypoxic pulmonary vasoconstrictionVascular resistanceCardiologyPharmacologyChemistryHemodynamics

Résumé

récupéré en direct d'OpenAlex

Abstract Background Pulmonary arterial hypertension (PAH) is a life-threatening condition. Although pulmonary vasodilators have shown promise in managing PAH, the overall prognosis improvement is modest, partly because of the absence of a biomarker for guiding their selection. This study aimed to identify the molecular-based predictors of responsiveness to pulmonary vasodilators by combining human and basic studies. Methods and Results RNA sequencing was conducted on cultured pulmonary artery smooth muscle cells (PASMCs) from patients with and without PAH, identifying variations in 2,076 genes. The candidates were narrowed down to established clinical biomarkers, and their plasma levels were assessed in PAH (n = 123) and non-PAH patients (n = 25). C1q/TNF-related protein 7 (CTRP7) exhibited elevated expression in PASMCs (5.37 Log2 fold change, p < 0.01), and the plasma of patients with PAH compared to non-PAH (28.2 (9.3– 101.2) vs. 9.32 (4.6–18.6) ng/ml, p < 0.01). A plasma assessment revealed a significant correlation between CTRP7 and interleukin 6 (IL-6) levels (r = 0.544, p < 0.001). Chromatin immunoprecipitation demonstrated that IL-6 upregulated CTRP7 expression in PASMCs. Among pivotal factors, CTRP7 reduced prostacyclin analog receptor (PTGIR) expression through Rab5a-mediated internalization, resulting in diminished responsiveness to selexipag (a prostacyclin analog). Incorporating the human study, hypoxic PH mice demonstrated reduced PTGIR expression in the pulmonary arteries, which correlated with limited responses to selexipag treatment (low cardiac output and persistent pulmonary artery resistance), which was mitigated by silencing CTRP7 expression in the pulmonary arteries using adeno-associated virus 6. Conclusions Among the candidates with increased expression in patients with PAH based on RNA sequencing of PASMCs, CTRP7 demonstrated elevated plasma levels compared to non-PAH. CTRP7 regulated PTGIR internalization via inflammation and Rab5a, influencing responsiveness to selexipag. CTRP7 emerged as a compelling biomarker for predicting responsiveness to prostacyclin analogs, potentially advancing the development of innovative PAH treatment strategies. Novel and Significance What Is Known? Pulmonary arterial hypertension (PAH) is a life-threatening vascular disease with limited treatment options. Although pulmonary vasodilators have shown promise in managing PAH, the overall improvement in prognosis is modest. Further research is needed to understand the molecular features of pulmonary vasodilators and identify biomarkers for appropriate selection. What New Information Does This Article Contribute? C1q/TNF-related protein 7 (CTRP7) was found to be elevated in the pulmonary artery smooth muscle cells (PASMCs) and plasma of patients with pulmonary arterial hypertension (PAH). This study established a connection between inflammation and pulmonary vascular responsiveness via CTRP7-mediated internalization and degradation of the prostacyclin analog receptor. This study indicated the possibility of using plasma CTRP levels as a clinical biomarker to monitor pulmonary responsiveness, which can contribute to the development of novel treatment strategies for patients with PAH. Pulmonary arterial hypertension (PAH) is a life-threatening and enigmatic lung vascular disorder characterized by progressive pulmonary vascular remodeling and vasoconstriction. Despite significant advancements in the treatment of PAH using pulmonary vasodilators, some individuals display limited responses, primarily due to a lack of understanding of the molecular features of each pulmonary vasodilator and the absence of a biomarker for appropriate selection. The present study aimed to identify promising biomarkers for predicting a patient’s responsiveness to pulmonary vasodilators through a two-step approach, involving RNA sequencing of PASMCs and the measurement of plasma levels. CTRP7 emerged as a prominent biomarker, displaying increased expression in both PASMCs and plasma obtained from patients with PAH. Mechanistically, IL-6 transcriptionally modulated CTPR7, leading to the internalization and degradation of PTGIR, resulting in a reduced response to selexipag (prostacyclin analog) in PASMCs. Integrating the human studies, a hypoxic mouse model exhibited lower PTGIR expression in pulmonary arteries, correlating with limited responses to selexipag treatment, which were ameliorated by silencing CTRP7 expression in pulmonary arteries using adeno-associated virus 6 transduction. This study collectively demonstrates that CTRP7 emerges as a compelling biomarker for predicting responsiveness to prostacyclin analogs, with the potential to advance the development of innovative PAH treatment strategies.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,062
Tête enseignante GPT0,315
Écart entre enseignants0,252 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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