Antioxidant Activity is Associated With Neurocognitive Protection After World Trade Center Particulate Matter Exposure
Notice bibliographique
Résumé
Abstract RATIONALE Particulate matter (PM) exposure during the World Trade Center (WTC) destruction caused several short- and long-term complications, especially among first-responder firefighters. Other groups have found that WTC responders with high PM exposure had significantly higher risk of early-onset dementia. Oxidative stress has been linked to accelerated epigenetic aging and cognitive decline. We quantified aging-related biomarkers, antioxidant levels, and cognitive measures in WTC-exposed firefighters. METHODS. We enrolled subjects from a random sub-cohort of 20% of firefighters consented as part of the FDNY WTC-Health-Program with normal pre-9/11 lung function. Recruited subjects were invited for repeat blood sampling and cognitive assessment (Montreal Cognitive Assessment [MoCA] and Mini-Mental State Examination [MMSE]), ClinicalTrials.gov#NCT05216133. Fasting plasma samples were banked at -80° C, thawed once, and assayed for CTACK, FGF-21, GDF-11, GDF-15, GnRH, Leptin (Millipore), total antioxidant capacity (TAC), and superoxide dismutase (SOD) activity (Abcam). Binary logistic regression compared participants with mild cognitive impairment (MCI), defined as a MoCA<26 or MMSE<25, to non-MCI (SPSSv28). RESULTS Of the 29 enrolled participants, N=9 (31%) had MCI. There was no significant difference in age between MCI and non-MCI (61.4 vs 64.7 years, p=0.29). MCI scored significantly lower in mean executive functions (3.5 vs 4.5), delayed recall (1.7 vs 3.6), and memory index (10 vs 13) compared to non-MCI, p<0.05. No subjects were found to have severe cognitive impairment (MoCA<18). Aging Biomarkers. Leptin was significantly higher in MCI compared to non-MCI (13.32 vs 5.03 ng/ml, p=0.014) and was negatively correlated with MoCA (r=-0.58, p=0.005). However, other aging biomarkers were not significantly different between two groups. For each ng/mL increase in leptin, the odds of MCI increased by 32% (OR:1.317 [95%CI: 0.99-1.74], p=0.05), adjusted for age and BMI. (Figure1) Measures of Oxidative Stress. SOD activity was significantly lower in MCI compared to non-MCI (21.4% vs 37.9%, p=0.009). For each percent increase in SOD activity, the odds of developing MCI significantly decreased by 11% (adjusted-OR=0.89 [95% CI:0.81-0.97], p=0.01). TAC levels were not associated MCI. CONCLUSIONS MCI, characterized by worse performance in executive functions and memory, was seen in WTC-exposed firefighters. Lower SOD activity correlated with increased odds of MCI, suggesting a protective role for antioxidants, as shown in previous translational studies. Additionally, higher leptin was associated with MCI and negatively correlated with cognitive performance. Our findings highlight the need for ongoing monitoring of oxidative and metabolic factors to improve cognitive health. Further research with a larger sample is needed to develop targeted interventions.
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 | 0,001 | 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 | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 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 ».