| Literature DB >> 26804707 |
Chao Wang1,2, Lu Yang1,2, Shu Wang3, Zhan Zhang1,2, Yongquan Yu1,2, Meilin Wang1,2, Meghan Cromie4, Weimin Gao4, Shou-Lin Wang1,2.
Abstract
The association between endocrine disrupting chemicals (EDCs) and human sperm quality is controversial due to the inconsistent literature findings, therefore, a systematic review with meta-analysis was performed. Through the literature search and selection based on inclusion criteria, a total of 9 studies (7 cross-sectional, 1 case-control, and 1 pilot study) were analyzed for classic EDCs (5 studies for phthalate esters and 4 studies for organochlorines). Funnel plots revealed a symmetrical distribution with no evidence of publication bias (Begg's test: intercept = 0.40; p = 0.692). The summary odds ratios (OR) of human sperm quality associated with the classic EDCs was 1.67 (95% CI: 1.31-2.02). After stratification by specific chemical class, consistent increases in the risk of abnormal sperm quality were found in phthalate ester group (OR = 1.52; 95% CI: 1.09-1.95) and organochlorine group (OR = 1.98; 95% CI: 1.34-2.62). Additionally, identification of official data, and a comprehensive review of the mechanisms were performed, and better elucidated the increased risk of these classic EDCs on abnormal sperm quality. The present systematic review and meta-analysis helps to identify the impact of classic EDCs on human sperm quality. However, it still highlights the need for additional epidemiological studies in a larger variety of geographic locations.Entities:
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Year: 2016 PMID: 26804707 PMCID: PMC4726156 DOI: 10.1038/srep19982
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Flow diagram of the study selection process.
EDCs: endocrine disrupting chemicals; RR: relative risks; OR: odds ratios; CI: confidence intervals.
Main characteristics of all epidemiological studies on sperm quality and EDCs included in the meta-analysis.
| Compounds | Study design | N in Analysis | Specimen | Concentration | Sperm quality | Results | Author (year) |
|---|---|---|---|---|---|---|---|
| Cross-sectional | 232 general men | urine | 22.9 μg/g (CR adjusted) | Weak association with low sperm concentration | Sperm concentration (OR = 1.97,95%CI: 0.95,4.08) | Han, X | |
| Cross-sectional | 150 individuals recruited from reproductive institute | urine | 25.7 ng/mL(CR adjusted) | ↓Sperm concentration | Sperm concentration (OR = 6.8,95%CI: 0.6,75.3, | Liu | |
| Pilot | 45 male partners of subfertile couples | urine | 121.9 ng/mL | ↓ Sperm concentration | (OR = 6.5,95% CI: 1.0–43.6, | Wirth | |
| Pilot | 45 male partners of subfertile couples | urine | 26.9 ng/mL | No association | (OR = 1.4, 95% CI: 0.3, 6.3) | ||
| Pilot | 45 male partners of subfertile couples | urine | 1.1 ng/mL | No association | (OR = 0.8, 95% CI: 0.2, 3.8) | ||
| Pilot | 45 male partners of subfertile couples | urine | 2.5 ng/mL | ↓ Morphology | (OR = 7.6, 95% CI: 1.7–33.3) | ||
| Cross-sectional | 463 male partners of subfertile couple | urine | 17.3 ng/mL | ↓ Sperm concentration, motility | Sperm concentration (OR = 3.3,95%CI: 1.2,8.5) Sperm motility (OR = 1.8,95%CI: 1.1,3.2) | Hauser | |
| Cross-sectional | 168 male partners of subfertile couples | urine | 16.1 ng/mL | ↓ Sperm concentration, motility, morphology | Sperm concentration (OR = 2.7,95%CI: 0.8,7.2) Sperm motility (OR = 2.4,95%CI: 1.1,5.0) Sperm morphology (OR = 1.7,95%CI: 0.8,3.9) | ||
| Cross-sectional | 168 male partners of subfertile couples | urine | 7.6 ng/mL | No association | Sperm concentration (OR = 1.0,95%CI: 0.3,2.9) Sperm motility (OR = 1.4,95%CI: 0.7.2.9) Sperm morphology (OR = 1.2,95%CI: 0.5,2.8) | Duty | |
| Cross-sectional | 168 male partners of subfertile couples | urine | 7.5 ng/mL | ↓ Morphology | Sperm concentration (OR = 1.7,95%CI: 0.4,7.9) Sperm motility (OR = 1.1,95%CI: 0.4,3.3) Sperm morphology (OR = 3.2,95%CI: 0.8,12.2) | ||
| Cross-sectional | 303 male partners of subfertile couple | serum | 43 ng/g lipids | ↓ Motility | OR = 2.68 (95%CI: 1.44–4.99) | Hauser | |
| Cross-sectional | 303 male partners of subfertile couple | serum | 223 ng/g lipids | ↓ Motility | OR = 2.80 (95%CI:1.50–5.23) | ||
| Cross-sectional | 212 male partners of subfertile couples | serum | 33.6 ng/g lipids | ↓ Morphology ↓ Motility | Sperm motility (OR = 1.68,95%CI: 0.82,3.42, | Hauser | |
| Cross-sectional | 336 male partners of couples presenting to infertility clinics | serum | 0.05 μg/g lipid ( | Low sperm count, motility and abnormal morphology | Sperm count (OR = 2.53; 95% CI = 1.0–6.31), Motility (OR = 2.91; 95% CI = 1.27–6.66), Morphology (OR = 3.23; 95% CI = 1.51–6.95) | Messaros | |
| Case-control | 25 cases and 25 controls | urine | 0.48 μg/g (CR adjusted) | No association | OR = 3.3 (95% CI:0.8–14.5) | Swan | |
| Case-control | 25 cases and 25 controls | urine | 0.56 μg/g (CR adjusted) | No association | OR = 0.8 (95% CI:0.2–3.0) |
Abbreviations: OR, odds ratio; CI, confidence interval; CR: creatinine.
Figure 2Funnel plot for the detection of publication bias on EDCs and human sperm quality.
Each dot represents a separate study for the indicated association. Location outside the delineated triangle (pseudo 95% confidence limits) suggests a publication bias.
Figure 3Forest plot of phthalate ester, organochlorine and human sperm quality.
Studies are plotted according to the name of chemicals and followed by the publication year in parentheses. Horizontal lines represent 95% CI, the arrows mean the values exceed the length of abscissa. Each square represents the OR point estimate and its size is proportional to the weight of the study. The diamond (unbroken line) represents the overall summary estimate with CI given by its width. The broken vertical line is at the null value (OR = 1). CI, confidence interval; OR, odds ratio.
Effects of polychorinated biphenyls on sperm quality observed in humans and animals.
| Compounds | Species | Observation | References |
|---|---|---|---|
| Human | ↓ Sperm motility | Hauser | |
| Human | ↓ Sperm motility, weak association | Rignell-Hydbom | |
| Human | ↓ Sperm motility, ↓ morphology | Hsu | |
| Human | ↓ Sperm motility | Richthoff | |
| Rat | ↓Sperm number, ↓motile sperm count | Hsu | |
| Rat | ↓ Motile sperm count, ↑abnormal sperm | Kuriyama & Chahoud (2004)47 | |
| Rat | ↓ Daily sperm production, ↑abnormal sperm | Faqi |
Effects of organochlorine pesticides on sperm quality observed in the male reproductive system of humans.
| Compounds | Species | Observation | References |
|---|---|---|---|
| Human | ↓Sperm count, ↓ sperm motility, ↑abnormal sperm morphology | Messaros | |
| Human | ↑Sperm chromatin integrity | De Jager | |
| Human | ↓Sperm quality | Pant | |
| Human | Asthenozoospermia | Aneck-Hahn | |
| Human | ↓ Motile sperm | De Jager | |
| Human | Weak association with sperm motility | Hauser | |
| Human | ↓Sperm quality | Swan | |
| Human | ↓Seminal volume, ↓Sperm count | Ayotte |
Effects of phthalates on sperm quality observed in humans and animals.
| Compounds | Species | Observation | References |
|---|---|---|---|
| Human | ↑Sperm DNA damage | Hauser | |
| Human | ↓Sperm concentration, ↓sperm motility | Hauser | |
| Human | ↓Sperm motility | Jonsson | |
| Human | ↓Sperm concentration, ↓sperm motility | Duty | |
| Human | ↑Sperm DNA damage | Duty | |
| Human | ↓Sperm concentration, ↓ morphology | Wirth | |
| Human | ↓Sperm morphology | Rozati | |
| Rat | ↓Daily sperm production | Andrade |
Figure 4A schematic mechanism on the effects of phthalate esters and organochlorines on testosterone and sperm quality.
A. Steroidogenesis. EDCs can inhibit the synthesis of testosterone through direct pathways including cholesterol, StAR, 3β-HSD, CYP 17, and 17β-HSD, or indirect pathways including the binding of LH to LH receptor and PPARγ, PKA, and StAR, or through FSH receptor, or the binding of testosterone to ABP or AR. In addition, EDCs can increase the AROM activity, which converts testosterone to estrogen, resulting in the decrease in testosterone. B. Spermatogenesis. EDCs may affect spermatogenesis through the apoptosis of spermatocytes, ROS production, or disrupting BTB integrity via the activation of PI3K/FAK or PI3K/Akt and MAPK/ERK signaling pathways. C. DNA damage and DNA methylation. CpG islands may be possible mechanisms of EDC-induced testicular toxicity and sperm quality. LHR, luteinizing hormone receptor; PPARγ, peroxisome proliferator activated receptor gamma; PKA, protein kinase A; CREB, cAMP response element; StAR, steroidogenic acute regulatory protein; TSPO, translocator protein; 3β-HSD, 3β hydroxysteroid; CYP 17, Cytochrome P450 17; 17β-HSD, 17β hydroxysteroid; AROM, cytochrome P450 aromatase; ROS, reactive oxygen species; AR, androgen receptor; ER, estrogen receptor; FSH, follicle stimulating hormone; ABP, androgen binding protein; PI3K, phosphatidylinositol 3 kinase; FAK, focal adhesion kinase; MAPK, mitogen activated protein kinase; ERK, extracellular regulated protein kinases; BTB, blood–testis barrier.