Delineating miR-126-3p, miR-223-3p, and miR-320a expression patterns with body mass index and insulin resistance in South African adults living with HIV
Notice bibliographique
Résumé
People living with human immunodeficiency virus (PLWH) have increased risk of weight gain, overweight, and obesity, and subsequent cardiometabolic diseases (CMDs). MicroRNAs (miRNAs) are emerging biomarkers for diabetes and obesity due to their regulatory roles in pathophysiological pathways leading to these conditions. In non-HIV populations, microRNAs (miR-126-3p, −223-3p, and -320a) have been associated with CMD risk. To examine the expression patterns of targeted miRNAs (miR-126-3p, −223-3p, and -320a) with overweight/obesity status in PLWH in South Africa. This cross-sectional study included ≥18-years-old PLWH, from 17 HIV clinics that provided antiretroviral care in the Western Cape between 2014 and 2015. Body mass index (BMI) <25 kg/m 2 is defined as normal/underweight, BMI between ≥25 kg/m 2 and < 30 kg/m 2 is defined as overweight, and BMI ≥30 kg/m 2 is defined as obesity. Whole blood miRNAs were isolated and quantified by reverse transcription polymerase chain reaction with small nucleolar RNA, C/D box 84 (SNOR D48) endogenous control used for normalisation. Statistical analyses used R software, with p -value<0.05 characterising significant results. Overall, all three target miRNAs were significantly but weakly correlated with fasting glucose (all, p < 0.046), fasting insulin (all, p < 0.015), and homeostatic model assessment-estimated insulin resistance (all, p < 0.002). Furthermore, miR-126-3p and − 223-3p were significantly correlated with 2-h insulin (both, p < 0.029) and alanine transaminase (both, p < 0.021). There were no significant differences in target miRNAs expression by BMI categories. Age and gender-adjusted regression analysis found no significant associations between the target miRNAs and CMD risk profiles. The expression patterns evaluated in this study appear to have weak associations with fasting glucose and cannot differentiate overweight/obesity status in PLWH. While not promising markers for overweight/obesity in PLWH, these findings remain exploratory, and further investigation is warranted. • This study is the first in Sub-Saharan Africa to examine the expression of miR-126-3p, miR-223-3p, and miR-320a in relation to overweight and obesity among people living with human immunodeficiency virus (PLWH), addressing an important evidence gap as these metabolic-associated miRNAs have not been previously evaluated in this high-risk population. PLWH face an increased risk of cardiovascular and cardiometabolic conditions, including diabetes and obesity, due to the combined effects of chronic inflammation, metabolic disruptions caused by antiretroviral therapy, and traditional lifestyle-related factors such as poor diet and physical inactivity. • The findings showed that all three miRNAs were weakly but significantly correlated with fasting glucose, fasting insulin, and HOMA-IR (all, p -value < 0.05 ), while miR-126-3p and miR-223-3p also correlated with 2-h insulin (both, p < 0.029 ) and alanine transaminase (both, p < 0.021 ), suggesting limited involvement in glucose regulation and liver-associated pathways. However, miRNA expression did not differ across BMI categories, and age- and sex-adjusted analyses revealed no significant associations between the target miRNAs and broader cardiometabolic disease risk profiles. • Overall, the results indicate that these miRNAs are not effective markers for distinguishing overweight or obesity in PLWH, yet they provide valuable insight into how metabolic-associated miRNAs may function differently in this population compared with general cohorts, underscoring the need for further investigation.
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) | 0,001 | 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 ».