XU Di Hui ,MA Yu Han ,YU Wen ,ZHOU Xue ,LUO Yang ,CHEN Ya Bing,# ,and HAN Xiao Dong,#
Epidemiological studies suggest a global decline in male fertility,which accounts for approximately 50% of infertility cases in couples.Male infertility is a multifactorial and complex issue that may arise due to congenital,acquired,idiopathic,or other unknown factors[1].Microcystins (MCs),a group of cyanobacterial toxins,have been positively detected in the serum samples of fishermen at Chaohu Lake(0.045–1.832 μg/L)[2]and Taihu Lake (0.1–0.64 μg/L)[3].To date,MCs have been confirmed to trigger reproductive toxicity,according to a review by Zhang et al.[4].Furthermore,an epidemiological investigation indicated that exposure to MC is associated with decreased semen quality,particularly reduced sperm motility[5].However,the specific mechanisms responsible for the negative effects of MCs on sperm motility in both human and animal models are currently unknown.
Sperm motility is a critical parameter to evaluate the vitality and fertilizing potential of ejaculated spermatozoa.Epididymal and accessory sex gland secretions play crucial roles in sperm quality.Neutral α-glucosidase (NAG),which is excreted by the epididymis,has been reported to be vital for sperm maturation.Zinc is an important prostatic product involved in regulating the proteolytic activity of prostate-specific antigens.Fructose produced by seminal vesicles serves as a source of energy and fuel for the metabolism of sperm cells[6].However,to our knowledge,there is no evidence regarding the function of these seminal plasma biochemical components in MC-induced male reproductive health.Therefore,we conducted a mediation effect analysis to investigate the roles of seminal plasma biochemical components and the effects of semen MCs on sperm motility and velocity.Given that these seminal plasma biochemical components are markers of the epididymis and accessory sex glands,this study will provide a new perspective on understanding how MCs affect male reproductive health.
In this research,the participants comprised a subset of subjects from an established crosssectional study[5].The criteria for selection were minimal: 1) 20–40 years old;2) living for more than 3 years in Jiangsu or Anhui provinces,where cyanobacterial blooms occur frequently.From June 12,2020 to January 19,2021,2,588 eligible men were recruited from the reproductive medical center,Affiliated Drum Tower Hospital of Nanjing University Medical School,Nanjing,and asked to complete a questionnaire.Men with self-reported inappropriate abstinence time (＜2 or ＞7 days),a history of disease or surgery of the reproductive or urological system,and missing semen samples were excluded,leaving 1,715 men.Among them,837 men who were included in the mediation effect analysis in this study underwent further examination of seminal plasma biochemical components.This study was approved by the Ethical Committee of Drum Tower Hospital,affiliated with Nanjing University Medical School,and all participants provided written consent.
Semen samples were provided by each participant by masturbation.Sperm motility and velocity were assessed using a BEION S3 computeraided sperm analysis system (CASA;Beion Medical Technology,Shanghai,China).Seminal plasma was analyzed for the presence of zinc,NAG,citric acid,and fructose.The detection kits for these four seminal plasma biochemical components were purchased from Nanjing Xindi Biopharmaceuticals.The levels of semen MCs were examined using a direct competitive enzyme-linked immunosorbent assay kit (Beacon Analytical Systems Inc.,ME,USA).The limit of detection of MCs was 0.1 μg/L.The average recovery was 90.2%,and the relative standard deviation was 13.1%.For measurements below the limit of detection,a random forest model was utilized to impute concentrations using Python(version 3.7).
The chi-square test was used to analyze the differences in the baseline information among the four groups,which were divided according to MC quartiles.The Spearman rank correlation was used to explore the relationship between potential confounders and sperm parameters and seminal plasma biochemical components.A multivariable linear regression model was used to calculate the associations between semen MCs,sperm parameters,and seminal plasma biochemical components.The levels of semen MCs were treated as continuous variables and divided into four groups based on quartiles.Pfor the trend was calculated by fitting the median concentrations of semen MCs in each quartile and entering them into the models as continuous variables.Differences in seminal plasma biochemical components/MCs between the normal and abnormal groups were assessed using the Mann-Whitney U test.To ensure the normality of the residuals and accuracy of the results,the concentrations of zinc,NAG,citric acid,and fructose were square-root transformed,whereas the levels of semen MCs were ln-transformed.All other parameters were left untransformed.A mediation analysis was conducted to assess the role of seminal plasma biochemical components in the relationship between semen MC levels and sperm motility or velocity.We further divided the study population into two groups based on age and conducted a stratified analysis.Statistical analyses were conducted using IBM PASW (SPSS version 20.0,IL,USA).All statistical tests were two-sided,andP＜0.05 was considered statistically significant.
Table 1 summarizes the characteristics of the 837 subjects.The participants were predominantly Han(99.5%),with 46.2% between 20 and 30 years old and 41.5% having a normal body mass index (BMI).All the subjects reported an abstinence period of 2–7 days,with 62.8% reporting 2–4 days.More than three-fourths of the men (78.4%) had received a senior high school or above education,and 56.5%were earning 50 thousand yuan or more/person/year.Over half of the men (57.1%) had never consumed alcohol,approximately half of the men(41.8%) were non-smokers,and 23.7% had never drunk caffeinated beverages.Few men had diabetes(0.6%) or hypertension (4.1%).We further summarized the characteristics according to quartiles of semen MCs;however,we did not find any substantial differences in the distribution of demographic characteristics across the different quartiles of MC exposure (Table 1).
Table 1. Characteristics for the study participants by quartile of Semen MCs (n=837),n (%)
The distribution of sperm parameters,seminal plasma biochemical components,and semen MC levels are shown in Supplementary Table S1(available in www.besjournal.com).In terms of sperm parameters,the median values of total motility,progressive motility,curvilinear velocity(VCL),straight-line velocity,average path velocity,the amplitude of lateral head displacement,linearity,wobble,and straightness were 52.50%,40.30%,43.20 μm/s,19.60 μm/s,23.20 μm/s,2.30 μm,44.50%,53.00%,and 80.50%,respectively.The median values of zinc,NAG,citric acid,and fructose were 2.53 mmol/L,19.67 U/L,20.10 mmol/L,and 14.10 mmol/L,respectively.The detection rate of MCs in semen was 88.6%,with a mean of 0.16 μg/L,which suggested that MCs can enter human bodies and subsequently accumulate in reproductive organsviacirculation,leading to adverse effects on the male reproductive system.
Spearman rank correlations revealed that tea/coffee consumption was negatively correlated with total motility,age and educational level were positively correlated with velocity parameters,and abstinence time was negatively correlated with the straight-line velocity (Supplementary Table S2,available in www.besjournal.com).We also found that age,BMI,abstinence time,and smoking status were positively correlated with various seminal plasma biochemical components (Supplementary Table S3 available in www.besjournal.com).To determine the appropriate covariates for inclusion in the final multivariate models,we utilized the“change-in-estimate” method where a covariate was included if its inclusion resulted in a change of ≥ 10%in the regression coefficient[7].Additionally,due to biological considerations,age,BMI,abstinence time,smoking,and drinking status were included in the final multivariate models.
In the adjusted models,we found significantnegative associations between semen MCs and total motility (β=-4.387;95%CI: -7.458,-1.317),progressive motility (β=-4.428;95%CI: -7.245,-1.612),and VCL (β=-1.481;95%CI: -2.895,-0.068) (P＜0.05) (Table 2).Furthermore,we found a negative dose-related association between MC quartiles and total motility (Pfor trend=0.010) and progressive motility (Pfor trend=0.008)(Supplementary Figure S1,available in www.besjournal.com).These results were similar to those in rodents where sperm motility was reduced following exposure to MC-leucine-arginine (MCLR)[4].Moreover,velocity parameters,such as VCL,were considerably decreased in MC-LR-exposed zebrafish[8].Nevertheless,studies regarding the mechanisms underlying MC-induced poor sperm motility are limited.
Table 2. Adjusted regression coefficients [β (95% CI)] for changes in in-transformed MC levels (continuous)associated with sperm parameters and seminal plasma chemical components (n=837)
Seminal plasma biochemical components could be considered clinical indicators of epididymis and accessory sex gland function,which regulate sperm motility[6].Therefore,we explored the association between seminal plasma biochemical components and sperm parameters in this study.Here,NAG and citric acid were positively related to the total and progressive motility,which were statistically significant (P＜0.05),while fructose was negatively associated (P＜0.05).These results in our study,were consistent with those in other male populations[9,10].No relationship between zinc and sperm motility parameters was observed(Supplementary Table S4,available in www.besjournal.com).The collective data led us to speculate that MCs impaired the secretion of seminal plasma biochemical components,thereby decreasing sperm motility.
To uncover the underlying mechanisms,we further observed that MCs were negatively associated with zinc (β=-0.082;95%CI: -0.143,-0.021),NAG (β=-0.304,95%CI: -0.696,-0.213),and citric acid (β=-0.454;95%CI: -0.696,-0.213).However,no association between MCs and fructose was observed (Table 2),implying that MCs might not exert toxicity on the seminal vesicles.Consistently,MC quartiles were found to be negatively associated with the three seminal plasma biochemical components (zinc,NAG,and citric acid) (Pfor trend ＜0.01) (Supplementary Figure S2,available in www.besjournal.com).We further noticed that there were considerable differences in NAG and fructose levels between the normal and abnormal semen groups,but there was no difference in MCs between these groups (Supplementary Figure S3,available in www.besjournal.com).This suggests that there might be a relationship between MC exposure and the decreasing tendency of sperm motility,but not male infertility.However,this finding should be verified in a larger population.
Semen MCs were observed to be related to biochemical components (NAG and citric acid) and sperm parameters (motility and VCL).Citric acid wasassociated only with sperm motility,whereas NAG was found to be associated with both sperm motility and VCL.Therefore,we further explored the mediation effect of NAG/citric acid in the relationship between semen MCs and sperm motility and velocity.After adjusting for the same set of confounders,we found that the mediated proportion of NAG in the associations between semen MCs and total and progressive motility was 19.4% and 15.7%,respectively.Citric acid was found to mediate 9.4% and 10.7% of the effects of semen MC exposure on total and progressive motility,respectively (Figure 1).Moreover,citric acid played a statistically significant role as a mediator in the association between MC exposure and VCL(Supplementary Figure S4,available in www.besjournal.com).Overall,we hypothesized that the negative effects of MC exposure on sperm motility might be partly due to post-testicular mechanisms involving epididymal and prostatic dysfunction induced by MCs.A previous systematic review reported that chronic MC-LR exposure induces prostatic toxicity,including prostatic hyperplasia and prostatitis[4].However,the relationship between MC-LR-induced prostate impairment and decreased sperm motility has not yet been established.Presumably,there have been no animal studies on the effects of MCs on epididymal functions.Therefore,our inference should be further verified through toxicological studies.
Figure 1. Mediation analysis models exploring the mediating roles of seminal plasma biochemical components in the associations between semen MC exposure and sperm motility (n=837).Mediation analysis models were adjusted for age,BMI,abstinence time,smoking,and drinking status.Semen MC levels were ln-transformed.NAG (A,C) and citric acid (B,D) were square-root transformed.Other parameters were not transformed.a,the effect of semen MCs on seminal plasma biochemical components (NAG or citric acid);b,the effect of seminal plasma biochemical components on sperm motility parameters;c’,the direct effect of semen MCs on sperm motility parameters;c,the total effect of semen MCs on sperm motility parameters (c=a × b+c’).The mediation ratio was calculated as (a ×b)/c.MCs,microcystins;BMI,body mass index;NAG,neutral α-glucosidase.
After stratification by age,we observed stronger relationships between MCs and various sperm parameters among participants aged 20–30 years,but no considerable associations were observed among those aged 31–40 years (Supplementary Table S5,available in www.besjournal.com).Four seminal plasma biochemical components were associated with various sperm parameters;however,the strength of the associations differed between the two subgroups (Supplementary Table S6,available in www.besjournal.com).Furthermore,among those aged between 20–30 years,zinc was found to mediate 10.7% of the effects of MCs on the amplitude of lateral head displacement,and NAG/citric acid showed a stronger mediation effect in the relationship between MC exposure and sperm motility or velocity (Supplementary Figure S5,available in www.besjournal.com).Taken together,these results suggest that the adverse effects of MCs on reproductive health among young males should be given more attention.
The strengths of the present study were as follows: Semen MCs were used as the internal biomarkers of MC exposure,which had the potential to reflect the precise MC levels in the male reproductive system from all sources and routes,to explore the association between MC exposure and male reproductive health.In addition,a relatively large population was recruited based on strict exclusion criteria to reduce bias.
However,our study had several limitations.First,owing to the cross-sectional design,we could not rule out the possibility of a temporal relationship being formed between MCs,sperm parameters,and seminal plasma biochemical components due to a single semen sample,which may vary over time.Second,we did not consider the impact of potential exposure to other environmental pollutants.Third,we did not consider the interaction between covariates and their association with the effects of MCs on male semen quality.Finally,the participants in this study were recruited from a reproductive medical center,which might not represent the general population.
Reportedly,this is the first epidemiological study to reveal the potential roles of seminal plasma biochemical components and their adverse effects on male sperm motility following MC exposure.We found that NAG and critic acid showed substantial mediating effects on the association between MC exposure and poor sperm motility.Given that NAG is a marker of epididymal function and citric acid is a marker of prostatic function,this study offers novel ways to elucidate the potential roles of the epididymis and accessory sex glands in the effects of MCs on male sperm motility.However,further toxicological studies are required to elucidate the underlying mechanisms.
Conflict of InterestThe authors declare no conflicts of interest in the present study.
AcknowledgementWe thank the staff at the Andrology Laboratory,Affiliated Drum Tower Hospital of Nanjing University Medical School,for measuring sperm parameters and seminal plasma biochemical components.We also thank HE Ke Lei and CHEN Kai from Nanjing University for their instructions on the use of the random forest model.
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