An exposomic approach with 138 chemical and non-chemical exposures to predict 32 biomarkers of male reproductive damages: A case study of college students in Chongqing, China

Wang, Yimeng; Liu, Kun; Han, Qing-Juan; Yang, Huan; Zhou, Nina; Sun, Lei; Zou, Peng; Liu, Xi; Ao, Lin; Cui, Zhihong; Zhou, Wenzheng; Liu, Jinyi; Cao, Jia; Chen, Qing

doi:10.1016/j.scitotenv.2020.144380

Cited by 6 publications

(7 citation statements)

References 40 publications

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“…A less condensed DNA could increase the risk of sperm DNA damage 67 due to agents present in tobacco smoke 68 . Furthermore, regarding the lack of an association between levels of biomarkers for PAH exposure and DFI in our study, our results seem to differ to the only previous study that addressed these associations in men who, like in our study, were not exposed to high levels of PAH through occupational exposure 17 . Those authors reported an association between 1‐OHP and DFI (although the information on the level of statistical significance was not presented, and no association was found between smoking and DFI).…”

Section: Discussioncontrasting

confidence: 94%

“…17 Those authors reported an association between 1-OHP and DFI (although the information on the level of statistical significance was not presented, and no association was found between smoking and DFI). A possible reason for the fact that an association was found between 1-OHP and DFI in that study 17 but not in ours may be because their study was about double the size of ours. Potentially, ethnic or dietary differences between China and Sweden could also explain the difference.…”

Section: Discussionmentioning

confidence: 98%

“…68 Furthermore, regarding the lack of an association between levels of biomarkers for PAH exposure and DFI in our study, our results seem to differ to the only previous study that addressed these associations in men who, like in our study, were not exposed to high levels of PAH through occupational exposure. 17 Those authors reported an association between 1-OHP and DFI (although the information on the level of statistical significance was not presented, and no association was found between smoking and DFI). A possible reason for the fact that an association was found between 1-OHP and DFI in that study 17 but not in ours may be because their study was about double the size of ours.…”

Section: Discussionmentioning

confidence: 98%

“…Previously, some studies reported that levels of PAH metabolites were associated with sperm DNA fragmentation [14][15][16][17] but other studies did not find an association. 18,19 Furthermore, the results appear to be incongruent regarding the type of PAH metabolite for which such an association was found.…”

Section: Introductionmentioning

confidence: 99%

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Exposure to polycyclic aromatic hydrocarbons and nicotine, and associations with sperm DNA fragmentation

2022

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Background: Tobacco smoking has been reported to cause DNA fragmentation and has been suggested to cause mutations in spermatozoa. These effects have been ascribed to the action of polycyclic aromatic hydrocarbons (PAH) present in the smoke. Simultaneously, DNA fragmentation has been associated with mutagenesis. Objective:The aim of this study was to investigate whether levels of urinary biomarkers of PAH and nicotine exposure were associated with sperm DNA fragmentation. Methods:In the urine of 381 men recruited from two cohorts of young men (17-21 years old) from the general Swedish population, the PAH metabolites 1-hydroxypyrene and 2-hydroxyphenanthrene, as well as the nicotine metabolite cotinine, were measured. The sperm DNA fragmentation index (DFI) was analysed using the sperm chromatin structure assay. Associations between the DFI, and PAH metabolite levels as continuous variables as well as in quartiles, were studied by general linear models adjusted for abstinence time. A similar analysis was carried out for cotinine levels, according to which the men were categorised as "non-smoking" (n = 216) and "smoking" (n = 165). Results:No association was found between levels of any of the three biomarkers and DFI, either as a continuous variable (p = 0.87-0.99), or when comparing the lowest and the highest quartiles (p = 0.11-0.61). The same was true for comparison of men categorised as non-smoking or smoking (DFI 11.1% vs. 11.8%, p = 0.31).Discussion: We found no evidence of PAH or nicotine exposure to be associated with DFI, which does not exclude that these exposures may have other effects on sperm DNA. Conclusion:In these young men, levels of biomarkers of nicotine and PAH exposure were not associated with DFI.

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Section: Discussioncontrasting

confidence: 94%

Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Exposure to polycyclic aromatic hydrocarbons and nicotine, and associations with sperm DNA fragmentation

2022

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“…Therefore, to answer the PICO questions formulated in the previous section, we organized and schematically summarized them in the upcoming tables. Indeed, the studies were divided based on the general topic they dealt with; therefore, the specific variables considered in each model included sperm retrieval (Table 2, four studies [37][38][39][40]); sperm quality, further divided into the investigation of sperm quality and morphology (Table 3a, seventeen studies [41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57]) and quality of sperm and environmental factors (Table 3b, four studies [58][59][60][61]); non-obstructive azoospermia (Table 4, three studies [62][63][64]); IVF outcome (Table 5, three studies [65][66][67]); environmental and medical factors (Table 6, twelve studies [68][69][70][71][72][73][74][75]…”

Section: Resultsmentioning

confidence: 99%

Predicting Male Infertility Using Artificial Neural Networks: A Review of the Literature

Schmeis Arroyo,

Iosa,

Antonucci

et al. 2024

Healthcare

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Male infertility is a relevant public health problem, but there is no systematic review of the different machine learning (ML) models and their accuracy so far. The present review aims to comprehensively investigate the use of ML algorithms in predicting male infertility, thus reporting the accuracy of the used models in the prediction of male infertility as a primary outcome. Particular attention will be paid to the use of artificial neural networks (ANNs). A comprehensive literature search was conducted in PubMed, Scopus, and Science Direct between 15 July and 23 October 2023, conducted under the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We performed a quality assessment of the included studies using the recommended tools suggested for the type of study design adopted. We also made a screening of the Risk of Bias (RoB) associated with the included studies. Thus, 43 relevant publications were included in this review, for a total of 40 different ML models detected. The studies included reported a good quality, even if RoB was not always good for all the types of studies. The included studies reported a median accuracy of 88% in predicting male infertility using ML models. We found only seven studies using ANN models for male infertility prediction, reporting a median accuracy of 84%.

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Identifying the dose response relationship between seminal metal at low levels and semen quality using restricted cubic spline function

Jia

Dong

Han³

et al. 2022

Chemosphere

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An exposomic approach with 138 chemical and non-chemical exposures to predict 32 biomarkers of male reproductive damages: A case study of college students in Chongqing, China

Cited by 6 publications

References 40 publications

Exposure to polycyclic aromatic hydrocarbons and nicotine, and associations with sperm DNA fragmentation

Exposure to polycyclic aromatic hydrocarbons and nicotine, and associations with sperm DNA fragmentation

Predicting Male Infertility Using Artificial Neural Networks: A Review of the Literature

Identifying the dose response relationship between seminal metal at low levels and semen quality using restricted cubic spline function

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