多世代にわたる有害物質曝露が、累積的かつ遺伝的な健康影響を示す(Multi-generational toxicant exposures show cumulative, inherited health effects)

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2024-01-23 ワシントン州立大学(WSU)

◆研究によれば、DDTのような単一物質への曝露が遺伝性の疾患感受性を引き起こすことが示されていますが、最近の動物実験では、世代を超えて複数の異なる有毒物質に曝露されると、これらの健康問題が増幅されることが明らかになりました。
◆妊娠中のラットの初代が共通の殺菌剤にさらされ、その子孫がジェット燃料、次いでDDTに曝露された結果、5代目の未曝露世代の動物で肥満、腎臓病、前立腺病の発生率が最大で70%増加しました。この研究は、異なる毒物に代々さらされることが、いくつかの疾患に複合的かつ増幅的な影響を与える可能性があることを示唆しています。

<関連情報>

多世代にわたる異なる有害物質曝露が、病理と肥満のエピジェネティックな世代間遺伝を引き起こす Multiple generation distinct toxicant exposures induce epigenetic transgenerational inheritance of enhanced pathology and obesity

Eric E Nilsson, Margaux McBirney, Sarah De Santos, Stephanie E King, Daniel Beck, Colin Greeley, Lawrence B Holder, Michael K Skinner
Environmental Epigenetics  Published:07 December 2023
DOI:https://doi.org/10.1093/eep/dvad006

DMR identification. The number of DMRs found using different P-value cutoff thresholds. The All-Window column shows all DMRs. The Multiple Window column shows the number of DMRs containing at least two nearby significant windows (1 kb each). The number of DMRs with the number of significant windows (1 kb per window) at a P-value threshold of P < 1e-04 for DMR is bolded. (A) Experimental design; (B) F1 generation 1e-04; (C) F2 generation 1e-04; (D) F3 generation 1e-04; (E) F4 generation 1e-04; (F) F5 generation 1e-04

Abstract

Three successive multiple generations of rats were exposed to different toxicants and then bred to the transgenerational F5 generation to assess the impacts of multiple generation different exposures. The current study examines the actions of the agricultural fungicide vinclozolin on the F0 generation, followed by jet fuel hydrocarbon mixture exposure of the F1 generation, and then pesticide dichlorodiphenyltrichloroethane on the F2 generation gestating females. The subsequent F3 and F4 generations and F5 transgenerational generation were obtained and F1–F5 generations examined for male sperm epigenetic alterations and pathology in males and females. Significant impacts on the male sperm differential DNA methylation regions were observed. The F3–F5 generations were similar in ∼50% of the DNA methylation regions. The pathology of each generation was assessed in the testis, ovary, kidney, and prostate, as well as the presence of obesity and tumors. The pathology used a newly developed Deep Learning, artificial intelligence-based histopathology analysis. Observations demonstrated compounded disease impacts in obesity and metabolic parameters, but other pathologies plateaued with smaller increases at the F5 transgenerational generation. Observations demonstrate that multiple generational exposures, which occur in human populations, appear to increase epigenetic impacts and disease susceptibility.

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