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Meta-Analysis
. 2017 Jul 25;8(30):48619-48634.
doi: 10.18632/oncotarget.14950.

The impact of BMI on sperm parameters and the metabolite changes of seminal plasma concomitantly

Dan Guo  1   2 , Wei Wu  1   2   3 , Qiuqin Tang  4 , Shanlei Qiao  1   2 , Yiqiu Chen  1   2 , Minjian Chen  1   2 , Mengying Teng  1   2 , Chuncheng Lu  1   2 , Hongjuan Ding  4 , Yankai Xia  1   2 , Lingqing Hu  3 , Daozhen Chen  3 , Jiahao Sha  5 , Xinru Wang  1   2
Affiliations
Meta-Analysis

The impact of BMI on sperm parameters and the metabolite changes of seminal plasma concomitantly

Dan Guo et al. Oncotarget. .

Abstract

The development of male infertility increased rapidly worldwide, which coinciding with the epidemic of obesity. However, the impact of weight abnormalities on sperm quality is still contestable. To assess the correlation between BMI and sperm parameters, we searched relevant articles in PubMed, Embase, Web of science, and Wanfang database published until June 2015 without language restriction. Otherwise, we also recruited some participants who attended fertility clinic as well as some general populations in this report. We performed a systematic review and meta-analysis about BMI and sperm parameters containing total sperm count, concentration, semen volume and sperm motility (overall and progressive). Metabolomic analysis of seminal plasma was performed to explore the mechanism from a new perspective. This study found standardized weighted mean differences (SMD) in sperm parameters (total sperm count, sperm concentration, and semen volume) of abnormal weight groups decreased to different degree compared to normal weight. Dose-response analysis found SMD of sperm count, sperm concentration and semen volume respectively fell 2.4%, 1.3% and 2.0% compared with normal weight for every 5-unit increase in BMI. Metabolomic analysis of seminal plasma showed that spermidine and spermine were likely to play a vital role in the spermatogenesis progress. This systematic review with meta-analysis has confirmed there was a relationship between BMI and sperm quality, suggesting obesity may be a detrimental factor of male infertility.

Keywords: BMI; Pathology Section; meta-analysis; metabolomic analysis; obesity; sperm parameters.

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Conflict of interest statement

CONFLICTS OF INTEREST

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1. Flow chart of study selection
Figure 2
Figure 2. Forest plot of abnormal body mass and total sperm count compared with normal body mass. Each point represents a separate study for the indicated association. A. overweight; B. obese
Figure 3
Figure 3. Dose-response of total sperm count, sperm concentration and semen volume. A. total sperm count; B. sperm concentration; C. semen volume; D. the parameters of dose-response
Figure 4
Figure 4. Sensitivity analysis about total sperm count. A. overweight; B. obese
Figure 5
Figure 5. Subgroup analysis based on ethnicity about total sperm count. A. overweight; B. obese
Figure 6
Figure 6. Funnel plot of observational studies about total sperm count. A. overweight; B. obese
Figure 7
Figure 7. Trial sequential analysis about total sperm count. A. overweight; B. obese
See this image and copyright information in PMC

References

    1. Gurunath S, Pandian Z, Anderson RA, Bhattacharya S. Defining infertility—a systematic review of prevalence studies. Hum Reprod Update. 2011;17:575–88. - PubMed
    1. Mascarenhas MN, Flaxman SR, Boerma T, Vanderpoel S, Stevens GA. National, regional, and global trends in infertility prevalence since 1990: a systematic analysis of 277 health surveys. PLoS Med. 2012;9:e1001356. - PMC - PubMed
    1. Hafekost K, Lawrence D, Mitrou F, O'sullivan TA, Zubrick SR. Tackling overweight and obesity: does the public health message match the science? BMC Med. 2013;11:41. - PMC - PubMed
    1. Xu X, Zhou L, Miao R, Chen W, Zhou Y, Pang Q, Qu K, Liu C. Association of cancer mortality with postdiagnosis overweight and obesity using body mass index. Oncotarget. 2016;7:5023–29. doi: 10.18632/oncotarget.6517. - DOI - PMC - PubMed
    1. Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NM, Achoki T, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384:766–81. - PMC - PubMed

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