ReviewInternational journal of molecular sciences2026
Endocrine-Disrupting Pesticides as Drivers of Human Disease: Mechanistic Toxicology and Life-Course Health Effects.
Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Lessons from In Utero and Postnatal Exposure to Pesticide DDT: Mechanisms of Chromaffin Cell Vulnerability and Altered Catecholamine Homeostasis.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Endocrine-disrupting pesticides (EDPs) are environmental toxicants capable of perturbing hormonal homeostasis through multiple molecular and cellular mechanisms. Growing evidence indicates that these compounds contribute to a broad spectrum of adverse health outcomes extending beyond classical endocrine dysfunction. This review critically synthesizes current knowledge on the toxicological mechanisms of EDPs and evaluates epidemiological evidence linking exposure to human disease. Mechanistically, EDPs act through modulation of nuclear hormone receptors, disruption of membrane-associated signaling pathways, interference with hormone synthesis, metabolism, and transport, induction of oxidative stress and mitochondrial dysfunction, and epigenetic reprogramming. These molecular events converge on shared biological pathways that affect multiple organ systems and life stages. Human and experimental evidence associates EDP exposure with reproductive dysfunction, endocrine-related cancers, metabolic disorders, thyroid abnormalities, and neurodevelopmental impairments. Particular concern surrounds exposure during critical windows of susceptibility, especially prenatal development and early childhood, when endocrine systems are highly vulnerable to disruption and developmental programming. Across disease endpoints, recurring mechanisms, including endocrine receptor perturbation, oxidative stress, inflammation, and epigenetic alterations, support a unifying toxicological framework linking diverse adverse outcomes. Despite substantial progress, important uncertainties remain regarding chronic low-dose exposure, non-monotonic dose-response relationships, cumulative effects of pesticide mixtures, and the translation of mechanistic findings into human risk assessment. Future research should integrate repeated biomonitoring, advanced mixture modeling, mechanistic biomarkers, and multi-omics approaches within longitudinal life-course studies. Improved integration of toxicological and epidemiological evidence will strengthen causal inference, refine hazard characterization, and support more protective regulatory strategies for reducing the human health burden associated with endocrine-disrupting pesticides worldwide.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.