Increased Environmental Temperature Damages DNA and Is an Emerging Health Risk That Correlates with Rates of Acute Lymphoblastic Leukemia (ALL) in Europe
Notice bibliographique
Résumé
Introduction: ALL incidence rates are increasing worldwide, and while the etiology of ALL remains elusive it may be associated with climate variables, such as elevated temperature. The World Meteorological Organization (WMO) has calculated that European temperatures have increased more than double the global average over the last 30 years1, but little research has focused on how this might play a role in the etiology of ALL. Both latitude and temperature are potential risk factors in the development of ALL2,3. The intensity of ambient temperature covaries with Latitude, and both could influence the risk of ALL. Furthermore, high ambient temperature during pregnancy was associated with increased likelihood of childhood ALL4. Global climate increases in temperature escalate the likelihood of extreme heat events, which increases reactive oxygen species, increases DNA damage, and suppresses the immune system. Few studies have evaluated both increases in ambient temperature and DNA damage as ALL risk factors. Objective:To investigate the relationship between population-weighted country centroids (location of greatest population density), average country yearly temperature, and ALL rates in European countries between the years 2010-2019. The effect of increased temperature stress on DNA damage in vitro was also investigated. Methods:Incidence and prevalence rates for ALL (Age-standardized data with males and females) were obtained from the Global Health Data Exchange (GHDx) database. Population-weighted latitude/longitude centroids for Europe were obtained from Baylor University and input into the Global Solar Atlas to obtain the average yearly global horizontal irradiance values. European temperature data was obtained from the Climatic Research Unit at the University of East Anglia (Copernicus Climate Data Store). ALL incidence and prevalence rates per 100,000 people for 40 European countries were compared using univariate and mixed linear modeling (including GDP and internet usage), compared to each country's annual mean and maximum temperature at the population centroids. DNA damage was determined in isolated DNA from Leukemic cells using electrophoresis. Statistical analyses were performed using GraphPad Prism and Excel. Results: Using both univariate and mixed linear modelling our preliminary data shows European ALL incidence to be significantly and positively (p < 0.001) associated with maximum mean monthly temperature (°C) between years 2012-2019. supporting the impact of elevated temperature on ALL. In univariate analysis of all years, we detected a significant positive correlation between ALL incidence and prevalence rates with mean annual temperature across countries for each year of analysis (for example in 2014 the ALL prevalence p-value = 0.01 and R = 0.4) and this relationship increased over time between 2010 and 2019. We also detected a significant positive correlation between the increase in mean annual temperature across Europe and an increase in ALL over the past decade. In determining an underlying mechanism, we found DNA damage to be significantly greater in leukemic cells exposed to elevated temperatures (38-41°C) compared to 37°C. Conclusions:Increasing mean and maximum annual temperatures may increase susceptibility to DNA damage and ALL. We speculate this is connected to extreme hot weather events causing increased oxidative stress, DNA damage, and/or immune system suppression. Considering the global climate crisis, our findings of heat induced DNA damage and significance between temperature and ALL rates, provide new possibilities for investigating the etiology of ALL. References World Meteorological Organization. Temperatures in Europe increase more than twice global average. (2022). Pordanjani, S. R., Kavousi, A., Mirbagheri, B., Shahsavani, A. & Etemad, K. Temporal trend and spatial distribution of acute lymphoblastic leukemia in Iranian children during 2006-2014: a mixed ecological study. Epidemiol. Health42, (2020). Coste, A. et al. Residential exposure to ultraviolet light and risk of precursor B-cell acute lymphoblastic leukemia: assessing the role of individual risk factors, the ESCALE and ESTELLE studies. Cancer Causes Control28, 1075-1083 (2017). Rogne, T. et al. High Ambient Temperature in Pregnancy and Risk of Childhood Acute Lymphoblastic Leukemia. medRxiv (2023). doi:10.1101/2023.05.19.23290227
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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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».