Editorial: Interplay of genetics and environment in pediatric diabetes: insights and innovations
Notice bibliographique
Résumé
The field of pediatric diabetes is rapidly evolving while being shaped by the complex interplay of genetic and environmental factors. Type 1 diabetes (T1D), long considered a classic autoimmune disease of childhood, now shows a more heterogeneous course with adult-onset forms and links obesity. Meanwhile, type 2 diabetes (T2D), traditionally confined to adults, is rising sharply in adolescents, driven by the obesity epidemic and disproportionately affecting minority groups. These shifts challenge traditional classifications and highlight the need for a more nuanced understanding of diabetes pathogenesis and management in children and adolescents.The aim of this Research Topic was to explore new scientific findings regarding the interplay between genetic predisposition and environmental factors in the development of pediatric diabetes and metabolic syndromes. While T1D is usually regarded as an autoimmune condition and T2D as a metabolic disorder, their boundaries in children and adolescents are increasingly blurred by overlapping influences such as obesity, insulin resistance, lifestyle, and psychosocial determinants.Our objective was twofold: first, to synthesize emerging evidence that highlights how both genetic factors and modifiable exposures, such as diet, sleep, microbiome, and obesity contribute to the heterogeneity of pediatric diabetes; and second, to identify potential pathways for improved diagnosis, prevention, and management in young populations. By integrating perspectives from molecular genetics, clinical endocrinology, and public health, this Research Topic sought to advance precision medicine approaches and provide actionable insights for clinicians and researchers working to reduce the growing burden of diabetes in children and adolescents.The articles published within this Research Topic collectively highlight the multidimensional nature of pediatric diabetes, where both genetic predisposition and environmental influences act as overlapping drivers of disease development and progression. Rather than examining these forces in isolation, the contributions emphasize how their interplay shapes clinical presentation, metabolic outcomes, and therapeutic challenges. On the clinical and management side, Jia et al. investigated mechanistic and integrative insights, reinforcing the central message of this Research Topic: pediatric diabetes cannot be understood through genetics or environment alone. Instead, the disease represents a nexus of inherited risk factors interacting with modifiable exposures such as diet, physical activity, and psychosocial context. This integrative approach is particularly relevant as obesity and other environmental drivers reshape the epidemiology of pediatric diabetes, blurring the lines between T1D, T2D, and monogenic forms.Taken together, these contributions highlight three major themes. First, modifiable lifestyle factors, including sleep and weight management, remain key targets for prevention and intervention. Second, the identification of genetic variants is essential to resolve the heterogeneous clinical presentations of pediatric diabetes and to enable personalized therapies.Finally, integrating these perspectives points toward a future in which precision medicine can address both the biological and social determinants of health, with the goal of reducing the burden of diabetes in children worldwide.The contributions to this Research Topic illustrate how pediatric diabetes sits at the crossroads of genetics, behavior, and environment. Together, they highlight the limitations of a onedimensional view of disease, instead pointing toward a framework where genetic predisposition interacts with modifiable exposures such as sleep, nutrition, weight status, and psychosocial factors. This multifactorial lens is essential for understanding why diabetes develops in some children but not in others, even among those with shared genetic risk.Importantly, the articles underscore the urgency of prevention and early intervention. The growing prevalence of T2D in youth, coupled with the persistent burden of T1D, reflects broader shifts in lifestyle and environmental pressures. Obesity, sleep disturbances, and sedentary behaviors act as amplifiers of underlying risk, while genetic heterogeneity adds diagnostic and therapeutic complexity. These findings call for more integrative research approaches that move beyond siloed investigations and instead combine molecular genetics, longitudinal epidemiology, and clinical trial data.Looking ahead, three priorities emerge. First, identifying reliable biomarkers that bridge genetic and environmental influences could enable earlier risk stratification and preventive strategies. Second, precision medicine approaches must be adapted to pediatrics, where developmental stage and psychosocial context profoundly shape outcomes. Finally, greater attention should be given to the health disparities that amplify diabetes risk in minority and low-income populations, ensuring that new insights translate into equitable advances in care.By situating genetics and environment within a unified framework, this collection lays the groundwork for the next phase of pediatric diabetes research: one that is preventive, personalized, and equitable.This Research Topic emphasizes that pediatric diabetes is neither solely genetic nor purely environmental, but the result of their dynamic interplay. By integrating perspectives on lifestyle, endocrine consequences, genetic heterogeneity, and clinical management, the contributing articles highlight both the complexity and the opportunities for innovation in this field. We thank all authors and reviewers for their contributions, which together pave the way toward more personalized, preventive, and equitable pediatric diabetes care.
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 | 0,006 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,003 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,007 | 0,005 |
| Science ouverte | 0,004 | 0,001 |
| Intégrité de la recherche | 0,009 | 0,014 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,014 | 0,009 |
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 ».