P0069MICRO RNA 155, 210, 494, 29B AND 34A EXPRESSION PROFILE IN PREECLAMPSIA AND NORMAL PREGNANCIES
Notice bibliographique
Résumé
Abstract Background and Aims Preeclampsia (PE) is a complex disorder that is characterized by hypertension and proteinuria after the 20th week of pregnancy, and it causes most neonatal morbidity and perinatal mortality. Despite many efforts, the knowledge acquired regarding its pathogenesis and pathophysiology does not allow us to treat it efficiently. It is not possible to arrest its progressive nature, and the available therapies are limited to symptomatic treatment. MicroRNAs (miRNAs) are small non-coding RNAs of approximately 19–23 nucleotides that can bind to the 3’ untranslated region of target mRNAs resulting in the degradation and translation inhibition of the mRNA, thereby regulating gene expression at the post-transcriptional level. Many studies have confirmed deregulated miRNA in pregnant patients with PE, and the function and mechanism of these differentially expressed miRNA are gradually being revealed. Method Sample collection Among the patients in the maternity ward, Department of Obstetrics and Gynecology. pregnant women who carried fetuses from 26 to 40 weeks of gestation were selected for study. Plasma samples were obtained from a total of 90 women in two groups; 48 being preeclamptic and 42 being healthy pregnancies, forming the control group. None of these subjects had undergone an invasive procedure. A volume of 5 mL maternal venous blood was drawn and collected in an ethylenediamine tetraacetic acid (EDTA) tube. The blood samples were centrifuged initially at 1200 g for 10 min and a second time at 10,000 g for 10 min, and 500 mL from the supernatant layer were used. The supernatant layer of the plasma was taken to Department of Molecular Biology and Genetics, Molecular Diagnosis Laboratory for storage at -80°C until the time of study. Total RNA extraction Total RNA was isolated from plasma using Trizol (Invitrogen, Carlsbad, CA) following the manufacturer protocol. Total RNA was analyzed using the commercially available Bioanalyzer Agilent RNA 6000 picoassay. MicroRNA isolation from maternal plasma MicroRNAs were obtained with the High-Specificity miRNA QRT-PCR detection kit (Stratagene-an Agilent Technologies Company, USA-Canada) according to manufacturer recommendations. Micro RNAs were subjected to a polyadenylation reaction as previously described. Next, using an oligo dT primer harboring a consensus sequence, reverse transcription was performed using an Affinity Script RT/RNase Block Enzyme mixture (Stratagene). miRNA was anayzed using the Bioanalyzer 2100- Agilent Small RNA assay. QRT-PCR platform The cDNA was amplified by real-time PCR. The real-time PCR analysis was performed on a Stratagene Mx3005P. This reaction contained a microRNA-specific forward primer, a TaqMan probe complementary to the 3ꞌ of the specific microRNA sequence, as well as part of the polyA adaptor sequence, and a universal reverse primer complementary to the consensus 3ꞌ sequence of the oligodT tail. Results were recorded in clinic sheets and were analyzed using SPss version 22. Results G1 consist of 48 and G2 42 pts. There were no differences in two group in respect to age (mean age was 28± 9.5 and 27± 5.23 in G1 and G2 respectively). Micro RNA155, 210 and 494 were significantly higher in plasma of G1 (Pv 0.001, 0.0001, 0.005 respectively). Micro RNA 29b was significantly lower in G1 (Pv 003). And there was no difference between two groups in respect to Micro RNA 34a (Pv 0.09). And also PE patients with higher plasma creatinine have more plasma level of Micro RNA155 and 210. There was a significant correlation between Micro RNA 494 and anemia in PE patients Conclusion In this study we showed that Micro RNA155, 210 and 494 increased and Micro RNA 29b decreased in PE and after clarifying by further studies may use as a predictor in clinical practice.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| 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) | 0,002 | 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 ».