Integrating in silico with in vivo approach to investigate phthalate and bisphenol A mixture-linked asthma development: Positive probiotic intervention

Context Di-2-ethylhexyl phthalate (DEHP), a known persistent organic pollutant, can increase the sperm DNA fragmentation index (DFI). Objective To investigate the mechanism underlying the repair of DEHP-induced sperm DNA damage in mice by Wuwei Fuzheng Yijing (WFY) formula. Materials and methods The potential targets of WFY and sperm DNA fragment (SDF) were obtained from the TCMSP, BATMAN-TCM, OMIM and GeneCards. The protein–protein interaction (PPI) network, GO and KEGG pathway analyses of WFY-SDF were constructed. An animal model of DEHP-induced sperm DNA damage was replicated by gavage of SPF ICR (CD1) mice DEHP at 1 g/kg/d and treated with WFY at 8.92, 17.84 and 35.67 g/kg, respectively, for 60 d. Sperm DFI of each group was detected and compared. The target genes of WFY identified by transcriptomic and proteomic analyses were validated by qRT-PCR and Western blotting. Results Network pharmacology pathway analysis indicated that PI3K/Akt was the potential target of WFY on SDF. The DFI of the DEHP group (25.48%) was significantly higher than that of the control group (4.02%). The high-dose WFY group (19.05%) exhibited the most significant repairing effect. The related pathways were PI3K/Akt and metabolic. Aass, Aldh1a7, GSTA3, betaine homocysteine S -methyltransferase (Bhmt), Mug2 and Svs1 were screened and Bhmt was validated. Discussion and conclusions WFY can repair sperm DNA damage caused by DEHP, and the mechanism may be related to PI3K/Akt and metabolic pathways, and Bhmt. This provides a new direction for using traditional Chinese medicine to prevent and repair reproductive system injury caused by pollutants.

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“…These pollutants can cause damage to various organs of the body (Baralić et al. 2020 , 2021 ; Park et al. 2020).…”

Section: Discussionmentioning

confidence: 99%

Repair mechanism of Wuwei Fuzheng Yijing formula in di-2-ethylhexyl phthalate-induced sperm DNA fragmentation in mice

Zhang

Wang

et al. 2022

Pharmaceutical Biology

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“…There is widespread pollution of multi-walled carbon nanotubes (MWCNTs) and dibutyl phthalate (DBP), and increasing evidence showing a link between exposure to MWCNTs or DBP and respiratory and allergic disease (Baralić et al, 2021;Ihrie et al, 2021). MWCNTs dripped into mice lungs, were shown to signi cantly increase pre-existing allergic airway in ammation in the mice, by encouraging the creation of cysteinyl leukotrienes (Carvalho et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Combined exposure to multiwalled carbon nanotubes and dibutyl phthalates aggravated airway inflammation in rats

He,

Peng,

et al. 2023

Food and Chemical Toxicology

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“…As an example, Excalibur was run in both modes on publications from (Baralić et al, 2021) and (Lu et al, 2021). Although only 9 / 9 tables in the publication by (Baralić et al, 2021) were marked manually, Excalibur extracted 11 tables. In comparison, Camelot identified 24 tables.…”

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confidence: 99%

Exploring the use of Artificial Intelligence (AI) for extracting and integrating data obtained through New Approach Methodologies (NAMs) for chemical risk assessment

Blümmel,

Rehn,

Mereu

et al. 2024

EFS3

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The future of risk assessment cannot neglect to consider the vast literature produced through the application of new approach methodologies (NAMs). This, however, constitutes a challenge for the risk assessor, as the availability of data in this context is huge and heterogeneous both for the methods applied and the standardisation and quality of the results. The integration of results generated from NAMs is hence only feasible under some degree of automation of the risk assessment workflow, specifically for searching, extracting and integrating such results in "AOPlike" knowledge networks (AOP -Adverse Outcome Pathway). Artificial intelligence (AI) with its state-of-the-art methods and tools is one of the most promising sources to support automation of manual tasks among modern technologies. The present paper illustrates the results of the exploration of possible applications of AI to achieve this goal. After the introduction of an evaluation framework to quantitatively assess these tools and methods, the results of the implementation of six selected case studies with the support of a selection of such tools in a dedicated workflow are presented. A qualitative survey of the state-of-the-art tools and methods, which also incorporates the experience gathered during the case study implementation, is then presented. Finally, recommendations are formulated which address the main aspects identified through the case study implementation that should, in the opinion of the www.efsa.europa.eu/publications EFSA Supporting publication 2024:EN-8567 2 authors, be pursued by EFSA in the context of its SPIDO NAMs and AI roadmaps. In summary, potentials for AI tool support could be identified throughout the workflow. Although many of the tasks can be supported by (semi-)automation, experience showed that subject matter experts need to be involved in all workflow steps.

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Integrating in silico with in vivo approach to investigate phthalate and bisphenol A mixture-linked asthma development: Positive probiotic intervention

Cited by 11 publications

References 120 publications

Repair mechanism of Wuwei Fuzheng Yijing formula in di-2-ethylhexyl phthalate-induced sperm DNA fragmentation in mice

Repair mechanism of Wuwei Fuzheng Yijing formula in di-2-ethylhexyl phthalate-induced sperm DNA fragmentation in mice

Combined exposure to multiwalled carbon nanotubes and dibutyl phthalates aggravated airway inflammation in rats

Exploring the use of Artificial Intelligence (AI) for extracting and integrating data obtained through New Approach Methodologies (NAMs) for chemical risk assessment

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