Introduction

Obesity has a significant and increasing impact on people’s good health. As a chronic disease, obesity carries with it numerous health-related consequences, including reproductive abnormality [1, 2]. In men, it is estimated that a 10-kg weight gain may reduce fertility by about 10% [3, 4]. There have been several investigations reporting abnormalities in semen parameters associated with increased body weight [5, 6], and an increased prevalence of azoospermia or oligozoospermia is demonstrated among obese male patients [7, 8].

Bariatric surgery has proven to be an effective treatment strategy in treating obesity and improving associated comorbidities. At present, the most commonly conducted bariatric surgical procedures are Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG). Several studies have investigated the changes in semen parameters in patients with obesity after bariatric surgery, reporting controversial results. Some reported no alteration in sperm volume, total count, morphology, and the total and progressive motility after SG [9], some found elevated sperm volume and viability but no alteration in concentration, total count, morphology, and the total and progressive motility after RYGB [10], while others observed a severe worsening of semen parameters after bariatric surgery [11, 12].

Previous meta-analysis by Wei et al. including 6 articles indicated that RYGB significantly increased sperm volume, while SG elevated normal morphology rate; however, sperm concentration and the percentage of progressive motility remained unchanged after surgery [13]. Deficiently, this study had a small sample size (n = 90) and included two case reports with a sample size of less than 4, so the results should be treated with caution. Subsequently, another meta-analysis conducted by Lee Y et al. in exploring the effect of bariatric surgery on male sexual function mentioned that bariatric surgery did not affect male sperm quality, but this result was not the primary outcome of the study [14]. In addition, these reviews did not investigate the changes in total sperm count, sperm viability, semen pH, and semen leukocytes. Recently, Wood et al. found that, despite no statistical changes in sperm volume, morphology, and motility after RYGB, sperm concentration and total count reduced notably [15]. Nevertheless, the latest research showed that bariatric surgery led to a significant improvement in sperm volume, concentration, progressively motile sperm count, and morphology [16].

Based on these different pieces of evidence, it is hard for us to draw a conclusion about the exact relationship between bariatric surgery and semen quality. Therefore, this study aimed to make a meta-analysis regarding the impact of bariatric surgery on semen quality.

Methods

Search Strategy

A comprehensive literature search was conducted in October 2021 adhering to the Preferred Reporting items for Systematic Reviews and Meta-Analyses (PRISMA) [17] using the databases PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials (CENTRAL) for articles published in English that included the terms “bariatric surgery,” “metabolic surgery,” “obesity surgery,” “weight loss surgery,” “sleeve gastrectomy,” “gastric bypass,” “gastric banding,” “duodenojejunal bypass,” “biliopancreatic diversion,” “sperm,” “semen,” and “reproductive function.” The search was conducted in October 2021 and was not limited to any date range. The references of identified articles and reviews were also searched manually to ensure that other relevant articles were not missed.

Inclusion and Exclusion Criteria

Inclusion criteria were as follows: (1) obese subjects with BMI > 30 kg/m2; (2) provided the pre- and postoperative data of semen analysis (e.g., sperm volume, concentration, total count, % normal morphology, % progressive motility, % total motility, % sperm viability, and semen pH and leukocytes). No available data, animal studies, case reports (n < 3), comments, letters, conference abstracts, reviews, and meta-analyses were excluded. If similar studies used data from overlapping populations, only the study with the most information was included, and others were excluded. As for the missing data, we would contact the authors by email for complete information if possible.

Selection Process and Data Abstraction

Three reviewers independently screened the titles, abstracts, and full text according to the inclusion and exclusion criteria and extracted the corresponding data to fill in a pre-specified form. Final discrepancies were resolved by discussion. The following data were extracted: the first author, publication year, country, study design, type of bariatric surgery, number of study participants, mean age at the time of surgery, length of follow-up, preoperative mean BMI, and outcome indicators.

Outcomes Assessed and Risk of Bias Assessment

The primary outcomes were sperm quality. In this study, meta-analyses were conducted on the nine domains of sperm quality, which included sperm volume (ml), sperm concentration (106/ml), total sperm count (106), % total motility, % normal morphology, % progressive motility, % sperm viability, semen pH, and semen leukocytes (106/ml). Secondary outcomes were sex hormones (total testosterone (TT), estradiol (E2), and sex hormone–binding globulin (SHBG)). The quality of included studies was evaluated by the Methodological Index for Non-Randomized Studies (MINORS) [18].

Statistical Analysis

In this study, the standardized mean difference (SMD) with 95% confidence intervals (CIs) was calculated for continuous variables. Mean and standard deviation (SD) was calculated for studies that reported median (minimum, maximum) using the computing method proposed by Wan et al [19]. For data shown as median (interquartile range, IQR), the following calculation formula was used: mean = median, SD=IQR/1.35, according to the Cochrane handbook of systematic reviews of interventions. Assessment of heterogeneity was completed using the inconsistency (I2) statistic, with a significance threshold of I2 > 50 % [20]. If the I2 statistic was significant, a random effect model was used to estimate pooled effect size. Otherwise, a fixed effect model would be employed. Sensitivity and subgroup analyses were performed if necessary and feasible. The one-study-out method was used for sensitivity analyses, and subgroup analyses were performed based on whether or not data was shown as median (interquartile range) (yes vs. no), type of surgery (RYGB vs. SG vs. RYGB/SG), and follow-up duration (≥ 12 months vs. < 12 months). Publication bias was assessed by the Egger test for the included studies ≥ 6. A p value < 0.05 was defined as statistical significance. All statistical analysis and meta-analysis were performed on Review Manager (RevMan version 5.3) and Stata (version 12.0).

Results

Literature Retrieval Results and Basic Characteristics

The flow diagram outlining the search process is shown in Figure 1. A total of 141 potential articles were identified. After removing duplicates and reviewing titles, abstracts, and full text, 10 publications were identified for eligibility of inclusion criterion [9, 10, 15, 16, 21,22,23,24,25,26]. Thereinto, two papers had the same first author with the same semen analysis data [21, 22], and one of them was included for analysis [22]. Hence, the remaining 9 articles with a total of 218 patients were included in the meta-analysis [9, 10, 15, 16, 22,23,24,25,26]. Quality assessment of the included studies is presented in Table 2.

Fig. 1
figure 1

Flow diagram of study selection

Study characteristics of included studies are presented in Table 1. The average preoperative age distribution centralized from 18 to 50 years and the mean pre-op BMI ranged from 36.7 to 70.5 kg/m2. The types of data expression were not completely consistent among these studies. Seven adopted means ± SD, one used median (interquartile range), and one employed median (minimum, maximum). Also, different types of bariatric procedures included Roux-en-Y gastric bypass (RYGB; 4 studies), sleeve gastrectomy (SG; 2 studies), and RYGB/SG (3 studies). The follow-up period ranged from 6 to 24 months (Table 2).

Table 1 Study characteristics
Table 2 MINORS assessment of included studies

Primary Outcome

Sperm Volume

Nine trials documented the sperm volume before and after bariatric surgery. Significant heterogeneity was observed among studies (I2 = 81%). The random effects model showed that there was no significant change in sperm volume after surgery (SMD = −0.34, 95% CI −0.86 to 0.18, p = 0.20) (Fig. 2a). As shown in Table 3, subgroup analysis did not resolve heterogeneity, but the pooled results showed that RYGB had a positive effect on sperm volume increase. Additionally, one study removal sensitivity analysis did not change the overall summary result. No significant publication bias was found with the Egger test (p = 0.216).

Fig. 2
figure 2

Forest plot of the effect of bariatric surgery on semen quality. a Semen volume. b Sperm concentration. c Total sperm count. d Total motility. e Progressive motility. f Normal morphology. g Sperm viability. h Semen pH. i Semen leukocytes

Table 3 Subgroup analyses of sperm volume, sperm concentration, total sperm count, normal morphology, progressive motility, and sperm viability

Sperm Concentration

Seven studies reported preoperative and postoperative sperm concentration. Heterogeneity was considered borderline to be statistically significant (I2 = 62%). The random effects model showed that there was no relationship between bariatric surgery and sperm concentration (SMD = −0.17, 95% CI −0.60 to 0.25, p = 0.43) (Fig. 2b). Subgroup analysis could not explain the source of heterogeneity. In sensitivity analysis, the pooled estimate remained stable after omitting any one of the studies in turn. Nevertheless, I2 decreased from 62 to 0% after excluding the study by Velotti et al. [16]. No significant publication bias was seen using the Egger test (p = 0.674).

Total Sperm Count

Five studies examined the effect of bariatric surgery on total sperm count. Because of the presence of heterogeneity (I2 = 75%), the random effects model was used to pool result and showed that total sperm count did not change significantly after surgery (SMD = 0.21, 95% CI −0.27 to 0.70, p = 0.39) (Fig. 2c). The pooled estimate remained statistically significant regardless of which studies were excluded. Publication bias was not detected because the number of included studies was less than 6.

Semen Total Motility and Progressive Motility

Seven trials were included in the meta-analysis of sperm total motility. No significant heterogeneity was seen between studies (I2 = 9%), so the fixed effect model was used to pool result and showed that bariatric surgery did not affect the sperm total motility (SMD = 0.15, 95% CI −0.07 to 0.36, p = 0.18) (Fig. 2d). When any one of the studies was excluded, the pooled results did not change significantly. Pooled analyses were also performed in six enrolled articles with the evaluation of seminal progressive motility. Meta-analysis showed that no homogeneity existed (I2 = 78%) and indicated that there was no statistical change in sperm progressive motility after the bariatric surgery intervention (SMD = −0.41, 95% CI −0.91 to 0.08, p = 0.10) (Fig. 2e). In the subgroup analysis, the outcomes showed that progressive motility after bariatric surgery remained stable regardless of follow-up duration (12 ≥ months or < 12 months) and type of bariatric surgery (RYGB or SG). When omitting any one study out in turn, the pooled estimate was remarkably changed. The p values of the Egger test for sperm total motility (p = 0.268) and progressive motility (p = 0.599) suggested that there was no significant publication bias.

Normal Morphology

Data on sperm normal morphology was presented in nine articles. Based on the random effects model (I2=83%), the analysis of data from these articles presented no differences in the percentage of normal morphology before and after surgery (SMD = −0.31, 95% CI −0.80 to 0.19, p = 0.22) (Fig. 2f). Subgroup analysis did not address heterogeneity, but the results showed that, regardless of follow-up duration, neither RYGB nor SG had any effect on the normal morphology rate. Sensitivity analysis using the one-study-out method yielded similar results. Publication bias was not found (Egger, p = 0.480).

Sperm Viability, Semen pH, and Semen Leukocytes

Information about sperm viability, semen pH, and semen leukocytes in the obese individuals pre- and post-surgery was available in 4, 3, and 2 studies, respectively. I2 was 64%, 87%, and not applicable, respectively. The random effects models showed bariatric surgery did not result in significant variation in sperm viability (SMD = −0.28, 95% CI −0.57 to 0.00, p = 0.05) (Fig. 2g), semen pH (SMD = −0.18, 95% CI −1.32 to 0.97, p = 0.76) (Fig. 2h), and semen leukocytes (SMD = −0.17, 95% CI −0.85 to 0.50, p = 0.61) (Fig. 2i).

Secondary Outcomes

Sex Hormones

From 9 studies included, 7 studies reported TT (n = 138), 7 for E2 (n = 138), and 5 for SHBG (n = 82). Both TT and SHBG levels were significantly increased after bariatric surgery (SMD = −1.15, 95% CI −1.86 to −0.44, p = 0.001 and SMD = −1.49, 95% CI −1.84 to −1.13, p < 0.00001, respectively). In contrast, E2 levels were significantly decreased after surgery (SMD = 0.74, 95% CI 0.07 to 1.40, p = 0.03).

Discussion

Obesity has many ramifications upon people’s life; one growing area of concern is that of reproductive capacity. Excessive weight gain had a positive correlation with sperm quality damage that could contribute to infertility. In the present study, we found that only a small proportion of obese males had a normal baseline semen analysis, which suggests that increased body weight may have a significant impact on sperm quality impairment. With regard to this aspect, Hofny et al. [27] found that BMI was positively related to abnormal sperm morphology and negatively to sperm concentration and motility in obese fertile and infertile men. Hammiche et al. [28] confirmed that obesity was negatively associated with sperm concentration, total motile sperm count, and ejaculate volume. Belloc et al. [5] observed BMI inversely correlated with sperm volume, concentration, and progressive motility. Besides, other investigators also demonstrated a negative relationship between BMI and sperm counts [8].

The underlying mechanism between obesity and impaired sperm quality remains unclear, and several main reasons may account for it. First, it is the alteration in hormonal levels. The hormonal profiles in obese men were often characterized by increased estrogen levels and decreased testosterone and inhibin B levels, which deleteriously affect spermatogenesis via hypothalamic–pituitary–gonadal (HPG) axis [29]. Furthermore, hyperinsulinemia related to insulin resistance and decreased sex hormone–binding globulin (SHBG) level may also play a role [29, 30]. Second, inflammatory mediators and adipokines can bring harm to human sperm. Several various inflammatory mediators (e.g., TNF-α, IL-1, and IL-6) secreted from excess white adipose tissue have a toxic effect on sperm function [30, 31]. Adipose tissue can also secrete a mass of adipokines such as leptin. Elevated leptin levels and leptin resistance occurred in patients with obesity are detrimental to sperm formation [30, 31]. In addition, these adipokines induce the production of reactive oxygen species (ROS), generating a process known as oxidative stress (OS). Third, ROS excessive production is known to have negative effects on male fertility [30, 32, 33]. Another noteworthy reason is the increased scrotal temperature. Spermatogenesis is a temperature-sensitive process. The accumulation of suprapubic and inner thigh fat can increase the local testicular temperature to levels affecting sperm production [29,30,31].

In the present study, the most comprehensive meta-analysis on the effects of bariatric surgery on semen quality in men with obesity was conducted. However, the results showed that no significant improvement or deterioration in semen quality was found. In agreement with our results, El Bardisi et al. [9] reported 46 male individuals studied before and 1 year after SG surgery whose sperm parameters remained stable after the procedure. Legro et al. [25] did not find any correlations between semen variations and weight loss experienced by the 6 subjects who underwent RYGB in a 12-month follow-up study. Similarly, Reis et al. [26] observed no changes in sperm quality 24 months after RYGB. Besides, sperm concentration, total count, motility, or normal morphology rate did not show any difference in the subgroup analysis.

All the patients included were submitted to SG or RYGB in the current study. SG and RYGB could improve insulin resistance [34], decrease estrogen concentrations, and elevate SHBG, testosterone, and inhibin B levels [22, 35]. Surgery-induced weight loss could result in an improvement of the chronic proinflammatory state, OS, and leptin resistance [36, 37]. Furthermore, the scrotal temperature might be better regulated after excessive weight loss. Although surgery could lead to these favorable changes, no significant improvement in sperm quality was observed. Therefore, other factors, including energy imbalance, smoking, sedentarism, environmental factors, and toxin accumulation [30, 32, 38, 39], might take responsibility for the lack of improvement of semen quality after bariatric surgery. Moreover, the results of our subgroup analysis for RYGB found significantly increased sperm volume after surgery. This may be explained by the little effect of these factors that did not get affected by bariatric surgery and many benefits brought by surgery mentioned earlier. Due to the small patient samples in this subgroup, these pooled estimates should be cautiously treated. To date, the exact cause is unclear, and our greatest concern is that a decline in semen quality due to obesity may be an irreversible event that cannot be improved by surgically induced weight loss. For obese people with a high risk of infertility or sperm impairment, undergoing bariatric surgery early may be a favorable decision.

In the sperm concentration analysis, heterogeneity was derived from the article focusing on patients with idiopathic infertility [16]. This indicated that different study populations were likely to be the main reason for heterogeneity. According to sperm concentration, patients can be classified into three categories: oligospermia, azoospermia, and normal semen. Because the different populations were analyzed separately in a very small percentage of included studies, subgroup analyses by types of study populations were not performed. In terms of this aspect, El Bardisi et al. [9] reported that sperm parameters improved in oligospermia patients who underwent SG, and sperm reappeared in the ejaculate of six previously azoospermic patients. However, Carette et al. [23] found that the prevalence of oligozoospermia raised from 17.4 to 21.7% after RYGB and SG. Likewise, Wood et al. [15] concluded the prevalence of both oligospermic patients and severe oligospermia patients after bariatric surgery was higher than before surgery; moreover, 2 patients developed azoospermia after surgery. Nevertheless, our meta-analysis results showed no significant changes in oligospermia (SMD = 0.78, 95% CI 0.26 to 2.36, p = 0.67) and azoospermia (SMD = 0.97, 95% CI 0.09 to 9.99, p = 0.98) after bariatric surgery.

This meta-analysis was not without limitations. First, it is a small sample study. Only 9 researches with 218 patients were included. Furthermore, heterogeneity between included studies was high for all outcomes except sperm total motility and sperm viability. This heterogeneity may be because of the varying patient populations. Future research should take the different study populations into account. Another limitation is that most of the studies are observational with no comparators. They are of suboptimal quality relative to experimental studies.

Conclusion

Based on the currently available evidence, bariatric surgery does not improve semen quality in obese males. Randomized prospective studies with larger samples and longer follow-up are needed to confirm these findings.