Literature DB >> 33504491

Disrupted spermatogenesis in a metabolic syndrome model: the role of vitamin A metabolism in the gut-testis axis.

Teng Zhang1, Peng Sun2, Qi Geng2, Haitao Fan2, Yutian Gong2, Yanting Hu2, Liying Shan2, Yuanchao Sun3, Wei Shen4, Yang Zhou1.   

Abstract

OBJECTIVE: Effects of the diet-induced gut microbiota dysbiosis reach far beyond the gut. We aim to uncover the direct evidence involving the gut-testis axis in the aetiology of impaired spermatogenesis.
DESIGN: An excessive-energy diet-induced metabolic syndrome (MetS) sheep model was established. The testicular samples, host metabolomes and gut microbiome were analysed. Faecal microbiota transplantation (FMT) confirmed the linkage between gut microbiota and spermatogenesis.
RESULTS: We demonstrated that the number of arrested spermatogonia was markedly elevated by using 10× single-cell RNA-seq in the MetS model. Furthermore, through using metabolomics profiling and 16S rDNA-seq, we discovered that the absorption of vitamin A in the gut was abolished due to a notable reduction of bile acid levels, which was significantly associated with reduced abundance of Ruminococcaceae_NK4A214_group. Notably, the abnormal metabolic effects of vitamin A were transferable to the testicular cells through the circulating blood, which contributed to abnormal spermatogenesis, as confirmed by FMT.
CONCLUSION: These findings define a starting point for linking the testicular function and regulation of gut microbiota via host metabolomes and will be of potential value for the treatment of male infertility in MetS. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

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Keywords:  bile acid metabolism; obesity; vitamins

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Year:  2021        PMID: 33504491      PMCID: PMC8666830          DOI: 10.1136/gutjnl-2020-323347

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   23.059


Increasing evidence is showing that an excessive-energy diet-induced obesity is one of the risk factors for metabolic syndrome (MetS). Gut microbiota plays a pivotal role in metabolic disorders. Recent studies show that gut microbiota can have an impact on spermatogenesis. A MetS model induced by diets with excessive-energy levels resulted in a notable elevation in the number of abnormal testicular tubules and a sharp decline in spermatogonia differentiation. The vitamin A absorption was disrupted, which mainly due to the dramatically reduced abundance of bile acids induced by an imbalanced gut microbiota in the MetS model. The abnormal metabolic effects of vitamin A were transferable to the testicular cells through circulating blood, which contributed to the damaged spermatogenesis. The abnormal vitamin A metabolism contributed to damaged spermatogenesis in a gut microbiota dependent manner by using faecal microbiota transplantation. These findings represent the beginning for linking the testicular function and regulation of gut microbiota via host metabolomes. Vitamin A metabolism might be applied to be a potential indicator for male infertility in individuals with MetS. The regulation of vitamin A metabolism through restoring the gut microbial ecosystem will be of value for male infertility therapy in individuals with MetS.

Introduction

Mounting evidence now suggests that excessive energy intake increases the risk factors for metabolic syndrome (MetS), which is seriously harmful to well-being and has become a major health issue worldwide; alarmingly, it is showing a younger trend, and its increasing prevalence is concomitant with the increased incidence of male infertility.1 Several studies demonstrate that the overconsumption of excessive energy alters male reproductive function and consequently impairs spermatogenesis.2–6 Gut microbiota dysbiosis was observed in excessive energy diet-induced MetS.7 8 Recently, Ding et al 9 showed that high-fat diet induced gut microbial dysbiosis with changeable phenotypes induced through faecal microbiome transplantation (FMT) leads to male infertility, confirming a causal relationship between the gut microbiota and spermatogenesis. In another study, Zhang et al 10 found that alginate oligosaccharide dosed mice showed an improvement in spermatogenesis following FMT, suggesting the possibility that FMT could potentially be used to treat patients in clinical research. These effects may be mediated through the metabolome, because the gut is ideally situated to sense an excessive energy status and is capable of digestion and absorption of nutrients via the gut microbiota, further altering whole-body metabolism.11 12 However, the way in which the gut–testis axis affects male infertility induced by MetS is largely unknown. Herein, our findings elucidated the gut–testis axis mechanism responsible for damaging spermatogenesis in an induced excessive energy diet model. Furthermore, we uncovered the remodelling of the gut microbiota that resulted in reduced bile acid levels, which further influenced key intermediate vitamin A absorption. These findings demonstrated that modification of gut microbiota and alteration of vitamin A metabolism have potential as treatments for male infertility induced by MetS.

Results

Metabolic disorders induced by diets with excessive energy levels resulted in impaired spermatogenesis

To study the influence of diets with excessive energy levels on spermatogenesis, we establish an excessive energy diet-fed sheep model (online supplemental tables 1 and 2). As expected, the medium-energy diet (MED) and high-energy diet (HED) groups had significantly increased body weight compared with the normal diet (ND) (standard chow diet) group (online supplemental figure 1A). The MED and HED groups also became glucose intolerant and developed insulin resistance, whereas the ND group did not (online supplemental figure 1B). Meanwhile, the HOMA-IR, QUICKI and Matsuda indexes were dramatically altered in the MED and HED groups (online supplemental figure 1C). Furthermore, fasting blood glucose and insulin concentrations were significantly increased in the HED group (online supplemental figure 1D). Serum low-density lipoprotein cholesterol and total cholesterol (TC) were largely increased in the MED and HED groups, while a significant reduction in high-density lipoprotein cholesterol was observed in the HED group (online supplemental figure 1E). These findings suggested that MetS sheep model was induced by diets containing excessive energy in the MED and HED groups. Then, we investigated spermatogenesis by analysing H&E stained tissue samples and noted the presence of multinucleated giant cells and disorganised spermatogenic cells in the testes of the MED group (figure 1A). The impaired spermatogenesis became more severe in the HED group, where the number of spermatogenic cells was significantly reduced, and the spermatogenic epithelium became thinner (figure 1A). The percentage of histomorphologically abnormal tubules was significantly increased in the MED and HED groups compared with the ND group (figure 1B). Furthermore, H&E staining of cauda epididymis showed numerous mature sperm in ND group, but several cell debris was observed in the MED and HED groups (figure 1C). The epididymal spermatozoa concentration was lower in the MED and HED groups compared with that in the ND group (figure 1D). The spermatozoa morphology showed greater levels of abnormality in the MED and HED groups compared with the ND group (online supplemental figure 2). Cumulatively, our results suggest that MetS sheep model, induced by diets containing excessive energy, impaired spermatogenesis.
Figure 1

High-caloric load induced by excessive energy intake disrupted spermatogenesis in a metabolic syndrome (MetS) model. (A) The representative testicular sections are stained with H&E. Scale bar=100 μm. (B) The percentage of abnormal tubules in testicular samples from each group (n=5). (C) The representative epididymal sections are stained with H&E. (D) Statistical analysis of sperm counts (n=5). (E) UMAP plot of germ cell clusters in testes defined by scRNA-seq analysis. (F) The percentage of each germ cell cluster from three groups. (G) Single-cell trajectories of SPG subsets are shown with cells ordered in pseudotime. Branch point represents distinct germ cell transition states. (H) The SPG trajectory is colored by three cell states. (I) Heatmap represents significant DEGs between each cluster at differentiated SPG and SSC pool stages at branch point. (J) Gene Ontology terms of differentially expressed genes (DEGs) in the SPG cluster from (a) ND versus MED and (b) ND versus HED groups. HED, high-energy diet; MED, medium-energy diet; ND, normal diet; scRNA-seq, single-cell RNA-seq; SPC, spermatocyctes; SPG, spermatogonia; SSC, spermatogonia stem cell; UMAP, uniform manifold approximation and projection.

High-caloric load induced by excessive energy intake disrupted spermatogenesis in a metabolic syndrome (MetS) model. (A) The representative testicular sections are stained with H&E. Scale bar=100 μm. (B) The percentage of abnormal tubules in testicular samples from each group (n=5). (C) The representative epididymal sections are stained with H&E. (D) Statistical analysis of sperm counts (n=5). (E) UMAP plot of germ cell clusters in testes defined by scRNA-seq analysis. (F) The percentage of each germ cell cluster from three groups. (G) Single-cell trajectories of SPG subsets are shown with cells ordered in pseudotime. Branch point represents distinct germ cell transition states. (H) The SPG trajectory is colored by three cell states. (I) Heatmap represents significant DEGs between each cluster at differentiated SPG and SSC pool stages at branch point. (J) Gene Ontology terms of differentially expressed genes (DEGs) in the SPG cluster from (a) ND versus MED and (b) ND versus HED groups. HED, high-energy diet; MED, medium-energy diet; ND, normal diet; scRNA-seq, single-cell RNA-seq; SPC, spermatocyctes; SPG, spermatogonia; SSC, spermatogonia stem cell; UMAP, uniform manifold approximation and projection.

Deep analysis of 10× scRNA sequencing revealed that impaired spermatogenesis was due to the blocked differentiation of spermatogonia (SPG)

To define which spermatogenic cell subtypes were engaged in biological pathways or functions during impaired spermatogenesis in excessive energy diet-induced MetS sheep model, 10× Genomics analysis of testicular cells was performed (online supplemental figure 3A). The ratios of cell viability and aggregation are shown in online supplemental table 3. Filtered data were analysed together from the ND, MED and HED groups by using uniform manifold approximation and projection analysis to identify cell subtypes. Corresponding to known gene markers in different cell types in the testis, we identified nine clusters, including SPG, early spermatocyctes (SPCs), late SPC, early round spermatids (Std), mid round Std, late round Std, Sertoli cells, Leydig cells and undefined cells (online supplemental figure 3B). The gene markers for nine clusters were shown in online supplemental figure 3C, D. To elucidate the molecular nature of germ cell differentiation in impaired spermatogenesis induced by metabolic disorders, we calculated the percentage of each cell subtype, using only the germ cells from the ND, MED and HED group. As shown in figure 1E, F, significant difference was revealed in the SPG cluster (ND: 3.8%, MED: 6.58% and HED: 14.28%), early SPC cluster (ND: 7.86%, MED: 17.60% and HED: 22.99%) and late round Std cluster (ND: 41.00%, MED: 16.12% and HED: 14.36%) among the three treatment groups. Corresponding to the H&E staining results, spermatogenic cells were dramatically lower in the MED and HED groups, which indicated that SPG differentiation was disrupted. Hence, we set out to perform clustering analysis on SPGs (online supplemental figure 4A-E). This revealed four distinct cell clusters, which we defined as: (1) undifferentiated SPG (undiffed SPG), (2) differentiating SPG (diffing SPG), (3) differentiated SPG (diffed SPG), and (4) pre-leptotene SPC (pre-L-SPC), based on several gene markers as described previously.13–15 To assess the developmental trajectory of these four SPG subsets, we performed monocle pseudotime trajectory analysis, which aligns individual cells along a developmental trajectory. It was revealed that these four SPG subsets had the following developmental order: undiffed SPG →diffing SPG →diffed SPG →pre-L-SPC (figure 1G, H). Meanwhile, the existence of branched point from the linear path of the pseudotime trajectory was observed, demonstrating that one branched group of cells represented the differentiation from undiffed SPG to diffed SPG and pre-L-SPC; the other branched group of cells represented the transition state that bridged the undiffed SPG and diffing SPG stages, which were likely to be SSC pool enriched, simultaneously generating progenitor SPG that initiated spermatogenic differentiation (figure 1I). In order to explore the mechanism of SPG differentiation retardation in MetS sheep model, Gene Ontology (GO) analysis was performed to demonstrate that distinct categories of differentially expressed genes were enriched in the ND versus MED group and ND versus HED group (figure 1J). ‘Reproductive process’ and ‘metabolic process’ were highly enriched in GO terms of SPG clusters in ND versus MED and ND versus HED, which suggested that metabolic process was consistent with reproductive process and was significantly altered during SPG differentiation.

The absorption of vitamin A was disrupted due to a drastic reduction in levels of bile acids in the MetS model

To address whether the arrest of SPG differentiation was closely connected with gut metabolism, we examined the untargeted metabolome profiles generated on intestinal digesta samples using ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry. Using partial least squares discriminant analysis, we observed distinct clustering of metabolites among the ND, MED and HED groups (figure 2A and online supplemental figure 5A). The excessive energy diet was sufficient to trigger widespread changes in metabolites (online supplemental figure 5B, C). Interestingly, these two comparisons had 250 common differential metabolites altered, and they were mainly enriched in the vitamin digestion and absorption KEGG pathway (figure 2B). The differential metabolites enriched in the vitamin digestion and absorption pathway were comprised of three fat-soluble vitamins and five water-soluble vitamins (figure 2C). Owing to the bile acid associated pathway also being enriched, we hypothesised that the absorption of fat-soluble vitamins was affected by bile acid levels. There are three fat-soluble vitamins: retinol, retinene and alpha-Tocopherol (vitamin E). Retinol and retinene are the bioactive forms of vitamin A, and they can be transformed into each other in vivo and have the same function. Retinene may be further oxidised to retinic acid, but this is an irreversible process. Vitamin E is an antioxidant that promotes vitamin A absorption. We found that the relative abundance of vitamin E was decreased in the MED and HED groups compared with the ND group (figure 2Da), thus influencing vitamin A absorption in the former groups. Notably, the relative abundance of retinol was dramatically increased, while the relative abundance of retinene was dramatically decreased in the MED and HED groups compared with that in the ND group (figure 2Db, Dc). In order to define the differences of the metabolites were not from the discrepancy in different diets, the measurement of retinol and retinene levels was performed and showed no significant difference among the ND, MED and HED groups (online supplemental figure 6). These results suggested that vitamin A absorption was disturbed in the MetS model. The abundance of retinol was increased, whereas the abundance of retinene was decreased; this was because little retinol was transformed into retinene, and retinol was lost instead of being absorbed. Additionally, the relative abundance of glycocholic acid was not altered, whereas the relative abundances of cholic acid (CA), lithocholic acid (LCA) and tauroursodeoxycholic acid (TUDCA) were dramatically decreased (figure 2Dd-g). Taken together, these untargeted metabolome profiles demonstrated that the absorption of vitamin A was dysregulated by reduced bile acid levels in the MetS model.
Figure 2

Absorption of vitamin A was disturbed in a MetS model. (A) Orthogonal projections to latent structures-discriminant analysis (PLS-DA) score plot for discriminating the intestine digesta metabolome from the ND, MED and HED groups (n=5). (B) Disturbed metabolic pathways in the ND versus MED and ND versus HED groups. (C) Heatmaps of the differential metabolites including eight vitamins that were altered through MED and HED feeding compared with ND feeding. (D) Comparison of the relative abundance of (a) vitamin E, (b) retinol, (c) retinene, (d) cholic acid, (e) glycocholic acid, (f) lithocholic acid and (g) tauroursodeoxycholic acid in the indicated groups. HED, high-energy diet; MED, medium-energy diet.

Absorption of vitamin A was disturbed in a MetS model. (A) Orthogonal projections to latent structures-discriminant analysis (PLS-DA) score plot for discriminating the intestine digesta metabolome from the ND, MED and HED groups (n=5). (B) Disturbed metabolic pathways in the ND versus MED and ND versus HED groups. (C) Heatmaps of the differential metabolites including eight vitamins that were altered through MED and HED feeding compared with ND feeding. (D) Comparison of the relative abundance of (a) vitamin E, (b) retinol, (c) retinene, (d) cholic acid, (e) glycocholic acid, (f) lithocholic acid and (g) tauroursodeoxycholic acid in the indicated groups. HED, high-energy diet; MED, medium-energy diet.

Gut microbiota dysbiosis was induced in the MetS model

The gut microbiota plays a vital role in its hosts metabolism by interacting with the host’s signalling pathways16 17; therefore, we examined bacterial 16S rDNA sequencing of intestinal digesta. Rarefaction curve examination revealed that the data were reliable for further analysis (online supplemental figure 7A). A distinct clustering of microbiota composition for the three treatment groups was observed using Bray-Curtis based principal coordinates analysis (figure 3A). To assess the overall composition of the bacterial community in different groups, the degree of bacterial taxonomic similarity of gut microbiota was analysed at the phylum level (figure 3B). Moreover, Shannon curves, OTU rank curves, Shannon index and Simpson index of gut microbiota were significantly altered, indicating that the richness and diversity of the gut microbiota was reduced in the MED and HED groups (figure 3C and online supplemental figure 7A). Furthermore, the twenty-nine bacteria altered at the genus level in the MED and HED groups compared with the ND group (figure 3D). Genus-level analysis showed that most of these altered bacteria belonging to Firmicutes, Ruminococcaceae and among these genus-level bacteria, the relative abundances of Ruminococcus_2 and Ruminococcaceae_NK4A214_group were significantly decreased in the MED and HED groups compared with ND in an energy dose-dependent manner after the long-term high-calorie challenge (online supplemental figure 7B).
Figure 3

Profiling of the gut microbiota was altered in a MetS model. (A) Bray-Curtis principal coordinate analysis (PCoA) plot of gut microbiota based on the operational taxonomic unit metrics of the samples in the ND, MED and HED groups (n=9). (B) Bacterial taxonomic profiling at the phylum level of intestinal bacteria from different treated groups. (C) (a) Shannon index and (b) Simpson index of gut microbiota in three treated groups. (D) Heatmap of differential abundance from the MED and HED groups compared with the ND group. The color of the spots in the left panel represents the relative abundance at the genus level in each group. HED, high-energy diet; MED, medium-energy diet; MetS, metabolic syndrome.

Profiling of the gut microbiota was altered in a MetS model. (A) Bray-Curtis principal coordinate analysis (PCoA) plot of gut microbiota based on the operational taxonomic unit metrics of the samples in the ND, MED and HED groups (n=9). (B) Bacterial taxonomic profiling at the phylum level of intestinal bacteria from different treated groups. (C) (a) Shannon index and (b) Simpson index of gut microbiota in three treated groups. (D) Heatmap of differential abundance from the MED and HED groups compared with the ND group. The color of the spots in the left panel represents the relative abundance at the genus level in each group. HED, high-energy diet; MED, medium-energy diet; MetS, metabolic syndrome. The physiological function of bile acids includes the promotion of absorption of fat-soluble vitamin A. It is revealed that CA, LCA and TUDCA were related with retinol, and they were also correlated with retinene by using pearson’s correlation analysis (figure 4 and online supplemental figure 8A). To investigate the functional relationship between gut microbial dysbiosis and bile acid levels, Spearman’s correlation analysis was performed. As shown in figure 4B, Spearman’s correlation analysis between CA, LCA TUDCA and differential genus-level bacteria revealed that the numbered bacteria 4, 9, 15, 17, 19, 21 and 27 were significantly correlated with CA, LCA and TUDCA. Combined with the relative abundance of these bacteria (online supplemental figures 7B and 8B), Ruminococcaceae_NK4A214_group showed a strong correlation with CA, LCA and TUDCA (figure 4C). Cumulatively, Ruminococcaceae_NK4A214_group was dramatically downregulated, which in turn had a profound influence on bile acid levels and further affected host vitamin A absorption in the MetS model.
Figure 4

The alteration of gut microbiota was closely associated with the bile acid levels. (A) Pearson’s correlations of retinol and retinene levels with the levels of (a) CA, (b) LCA and TUDCA. Red indicates a positive correlation, and blue indicates a negative correlation. (B) Spearman’s correlation analysis of differential genus microbiota levels with CA, LCA and TUDCA levels. (C) Spearman’s correlation analysis of Ruminococcaceae_NK4A214_group abundance with (a) CA, (b) LCA and (c) TUDCA levels. CA, cholic acid; LCA, lithocholic acid; TUDCA, tauroursodeoxycholic acid.

The alteration of gut microbiota was closely associated with the bile acid levels. (A) Pearson’s correlations of retinol and retinene levels with the levels of (a) CA, (b) LCA and TUDCA. Red indicates a positive correlation, and blue indicates a negative correlation. (B) Spearman’s correlation analysis of differential genus microbiota levels with CA, LCA and TUDCA levels. (C) Spearman’s correlation analysis of Ruminococcaceae_NK4A214_group abundance with (a) CA, (b) LCA and (c) TUDCA levels. CA, cholic acid; LCA, lithocholic acid; TUDCA, tauroursodeoxycholic acid.

Vitamin A metabolism dysfunction was transferable to host testes in the MetS model

In order to deeply investigate the mechanism of impaired spermatogenesis, we verified vitamin A metabolism in the testis. First, we performed targeted metabolomics profiling of the vitamin A level in testis samples from different treated groups using liquid chromatography–MS. Vitamin A levels were significantly decreased in the HED group compared with the ND group (figure 5A). Furthermore, we detected the vitamin A level in serum using an ELISA kit and found that the data pointed towards a similar trend as that in the testis (figure 5B). Testicular cells receive vitamin A from the blood, and blood serum vitamin A is bound by retinol binding protein 4 (RBP4). Vitamin A can also be transported into testicular cells via RBP4 delivery to membranes. Therefore, we examined the expression levels of RBP4 using immunofluorescent (IF) staining and western blot. Results showed that the expression level of RBP4 was significantly decreased in the MED and HED groups compared with that in the ND group (figure 5C). These results corresponded to the vitamin A level tests in the LS-MS and ELISA experiments.
Figure 5

The effect of abnormal vitamin A metabolism was transferable to testis. (A) The testicular vitamin A levels of the ND and HED fed groups were measured (n=6). (B) Serum vitamin A levels of the ND, MED and HED-fed groups were examined (n=6). (C) The representative images of RBP4 and RDH10 immunofluorescent (IF) staining in sections of testicular tissue. Scale bar=50 μm. (D) The IF staining for STRA8 and SYCP3 is shown together with MVH in representative sections of testicular tissue. Scale bar=25 μm. (E) Western blot of STRA8, RDH10, MVH, GAPDH and β-ACTIN in each indicated group. (F) Quantification protein levels of (a) STRA8, (b) RDH10 and (c) MVH. HED, high-energy diet; MED, medium-energy diet.

The effect of abnormal vitamin A metabolism was transferable to testis. (A) The testicular vitamin A levels of the ND and HED fed groups were measured (n=6). (B) Serum vitamin A levels of the ND, MED and HED-fed groups were examined (n=6). (C) The representative images of RBP4 and RDH10 immunofluorescent (IF) staining in sections of testicular tissue. Scale bar=50 μm. (D) The IF staining for STRA8 and SYCP3 is shown together with MVH in representative sections of testicular tissue. Scale bar=25 μm. (E) Western blot of STRA8, RDH10, MVH, GAPDH and β-ACTIN in each indicated group. (F) Quantification protein levels of (a) STRA8, (b) RDH10 and (c) MVH. HED, high-energy diet; MED, medium-energy diet. The 10× scRNA-seq results given previously indicated that differentiation from undiffed SPG to pre-L-SPC was partly blocked. PLZF is expressed in SPG, which is a marker gene of undifferentiated SPG for maintaining self-renewal of SSCs.18 As shown in online supplemental figure 9, the expression level of PLZF was upregulated in the testis by using IF staining and western blot in the MED and HED groups compared with the ND group. In addition, the expression of marker genes of meiosis in pre-L-SPC are detected, and we found that STRA8 and SYCP3 expression levels displayed a sharp decrease, as shown by IF staining (figure 5D) and western blot (figure 5E, F). In the present study, the damage during spermatogenesis resulted from the downregulated expression of meiotic gene markers, and vitamin A metabolism played a vital role in meiotic gene activation. To further assess whether RDH10 levels were changed in the testis, we identified the expression level of RDH10 using IF staining and western blot and found that it was downregulated in the MED and HED groups compared with the ND group (figure 5C, E, F). Together, these results suggested that vitamin A metabolism was abnormal, thus the reduced levels of vitamin A and RDH10 contributed to the compromised impaired spermatogenesis in testes in the MetS model.

Perturbative vitamin A metabolism led to impaired spermatogenesis in a gut microbiota dependent manner

To investigate the effect of the gut microbiota on impaired spermatogenesis phenotypes in the MetS model, microbiota of the intestinal digesta taken from the ND and HED groups was transplanted into mice by oral gavage (figure 6A). After 8 weeks of colonisation, the body weight (online supplemental figure 10A), serum TC levels (online supplemental figure 10B) and serum TG levels (online supplemental figure 10C) did not show any significant difference between ND-FMT (mice transplanted with microbiota from the ND controls) and HED-FMT (mice received the HED microbiota). However, HED-FMT displayed a significant decrease in testicular vitamin A levels, compared with those mice in the ND-FMT (figure 6B). To further confirm that the differential testis vitamin A levels in the FMT groups were due to the alteration of the colonised gut microbes instead of the vitamin A and bile acids levels transmitted from the donors, we examined the transmitted material from the donors ND and HED groups. The transplanted material was prepared by strict dilute and homogenise filter procedure, and we found that the levels of retinol, retinene and bile acids had no significant difference in the two donor groups (online supplemental figure 11A-C). In addition, we detected the abundance of the Ruminococcaceae_NK4A214_group in the transmitted material from the donors and found that the abundance of the Ruminococcaceae_NK4A214_group was dramatically decreased in the HED group compared with that in the ND group (online supplemental figure 12A). We also analyse the abundance of the Ruminococcaceae_NK4A214_group in the ND-FMT and HED-FMT by PCR and qPCR and found that the abundance of Ruminococcaceae_NK4A214_group was significantly decreased in the HED-FMT group compared with ND group (figure 6C and online supplemental figure 12B).
Figure 6

Faecal transplants of HED microbiota exhibited disrupted spermatogenesis induced by a notable reduction in levels of vitamin A and RDH10. (A) Study design diagram of the faecal transplant experiment. (B) Vitamin A level measured using an ELISA kit (n=6 for ND-FMT; n=10 HED-FMT). (C) The qPCR analysis of Ruminococcaceae_NK4A214_group abundance (n=9). (D) H&E staining of ND-FMT and HED-FMT testicular tissue. (E) Percentage of abnormal tubules in testicular tissue from each group (n=7). (F) Representative IF staining images of STRA8 and RDH10 in sections of testicular tissue. Scale bar=50 μm. (G) Western blotting of STRA8, RDH10, MVH and β-ACTIN in each indicated group. (H) Quantification protein levels of (a) STRA8, (b) RDH10 and (c) MVH. FMT, faecal microbiome transplantation; HED, high-energy diet; IF, immunofluorescent.

Faecal transplants of HED microbiota exhibited disrupted spermatogenesis induced by a notable reduction in levels of vitamin A and RDH10. (A) Study design diagram of the faecal transplant experiment. (B) Vitamin A level measured using an ELISA kit (n=6 for ND-FMT; n=10 HED-FMT). (C) The qPCR analysis of Ruminococcaceae_NK4A214_group abundance (n=9). (D) H&E staining of ND-FMT and HED-FMT testicular tissue. (E) Percentage of abnormal tubules in testicular tissue from each group (n=7). (F) Representative IF staining images of STRA8 and RDH10 in sections of testicular tissue. Scale bar=50 μm. (G) Western blotting of STRA8, RDH10, MVH and β-ACTIN in each indicated group. (H) Quantification protein levels of (a) STRA8, (b) RDH10 and (c) MVH. FMT, faecal microbiome transplantation; HED, high-energy diet; IF, immunofluorescent. To confirm that microbiota transplantation modulated spermatogenesis, we conducted H&E staining to examine testicular morphology. This revealed that testicular tissue from mice transplanted with ND microbiota exhibited normal testicular development, whereas tissue from mice transplanted with microbiota from the HED group exhibited thinning of the seminiferous epithelium and detachment of testicular cells from the basement membrane of the seminiferous tubules; in addition, some spermatogenic cells were dead and shed into the luminae of the tubules (figure 6D). The percentage of abnormal tubules was observed between the ND-FMT and HED-FMT; ND-FMT had approximately 12% abnormal tubules, while HED-FMT had more than 47% (figure 6E). The expression levels of STRA8 and RDH10 were determined by IF staining (figure 6F) and western blot (figure 6G, H), and HED-FMT had dramatically decreased protein expression, which was similar to the results of the MetS model. Collectively, these results demonstrated that the recipient mice recapitulated microbial and metabolic phenotypes as observed in the metabolic disorder model, and gut microbiota mediated the disturbed metabolism of vitamin A, which led to damaged spermatogenesis.

Discussion

MetS has become a major health issue worldwide. Male infertility in MetS is commonly accompanied by gut microbiota dysbiosis. However, there are only a limited selection of therapeutic treatments for male infertility patients with MetS. Therefore, the gut–testis axis in the aetiology of male infertility in MetS is worthy of exploration. First, we conducted a detailed phenotypic assessment of impaired spermatogenesis from a MetS model induced by an excessive energy diet and revealed a notable elevation in the number of abnormal tubules and a sharp decline in SPG differentiation. Furthermore, disruption of vitamin A absorption in the intestine was observed in the MetS model. Notably, the absorption of fat-soluble vitamins was affected by reduced bile acid levels and was strongly correlated with the abundance of Ruminococcaceae_NK4A214_group in the MetS model. These findings suggested that disruption of the absorption of vitamin A was mainly due to the dramatically reduced abundance of these bile acids induced by an imbalance in the homeostasis of gut microbiota. Lastly, the pivotal role of vitamin A metabolism in the gut–testis axis was uncovered in our study. This finding indicated that, through its ability to restore the gut microbial ecosystem, vitamin A metabolism might be a potential candidate for the treatment of male infertility in individuals with MetS (figure 7).
Figure 7

Graphical abstract. Diagram illustrating the proposed vitamin A metabolism via the gut–testis axis being indispensable for spermatogenesis. The disrupted vitamin A absorption was affected by reduced bile acid levels, which mainly due to the dramatically decreased abundance of Ruminococcaceae_NK4A214_group. Notably, the abnormal vitamin A metabolism were transferable to the testicular cells through the blood circulation, which led to abnormal spermatogenesis in the MetS model. MetS, metabolic syndrome.

Graphical abstract. Diagram illustrating the proposed vitamin A metabolism via the gut–testis axis being indispensable for spermatogenesis. The disrupted vitamin A absorption was affected by reduced bile acid levels, which mainly due to the dramatically decreased abundance of Ruminococcaceae_NK4A214_group. Notably, the abnormal vitamin A metabolism were transferable to the testicular cells through the blood circulation, which led to abnormal spermatogenesis in the MetS model. MetS, metabolic syndrome. Adequate vitamin A is essential for male and female reproduction as well as embryonic development.19 20 Vitamin A is particularly important for its role in the process of meiotic initiation in the female gonad during embryogenesis and in the male gonad postnatally. Vitamin A is the molecular precursor of retinoic acid (RA), and RA is indispensible for meiotic initiation and also activates the gatekeeper gene of meiosis STRA8.21–27 RA is metabolised from retinol by two successive oxidation reactions. In the first step, retinol is reversibly converted to retinaldehyde (RAL) mainly by the enzyme RDH10.28 29 In the second step, RAL can then be oxidised to form RA mediated by members of the aldehyde dehydrogenase 1A family.30 Several studies report that vitamin A deficient rodents suffer male infertility mainly owing to a deficiency of RA.31 In the clinical research, it is indicated that germ cell aplasia is associated with local deregulation of vitamin A metabolism.32 Recently, evidence has demonstrated on the relationship between vitamin A status and MetS.33–36 Furthermore, some reports suggested that vitamin A deficiency is a possible independent risk factor for MetS.37 38 However, whether an association between MetS and infertility in the vitamin A deficiency has not been uncovered. Organisms work as a whole, so an interference in one organ is likely to impact the body’s homeostatic balance and lead to damage in other related organs. To the best of our knowledge, the current findings are the first to show that the abnormal vitamin A metabolic process was strongly mediated by bile acid dysregulation and gut microbiota dysbiosis, resulting in the impairment of male fertility via circulating blood in the MetS model. Additionally, the expression of RDH10, an enzyme that is essential in the conversion of retinol to RAL, exhibited a sharp reduction, which was mainly due to feedback following the decreased abundance of vitamin A in the testis. The gut microbiota is regarded as a metabolic organ that regulates its hosts metabolism. Meanwhile, the abundance of bile acids as a signalling molecule in metabolically active tissues such as the gut has aroused great interest in metabolic disorders. Furthermore, it is known that the interaction between the gut microbiome and bile acids is not unidirectional. On the one hand, the gut microbiota can regulate the size of the bile acid pool and the ratio of bile acid composition. On the other hand, bile acid is one of the main components of bile; a healthy concentration is necessary for the dissolution, digestion and absorption of lipids and fat-soluble vitamins from food. In the present study, using KEGG pathway analysis, we found that the common differential metabolites in intestinal digesta from the MED and HED groups, when compared with the ND group, were also mainly enriched in the bile acid related pathway, which indicated that bile acids have an influence on vitamin A absorption. Additionally, correlation analyses of bile acid levels and genus-level bacteria revealed that CA, LCA and TUDCA were correlated strongly with Ruminococcaceae_NK4A214_group. Our findings suggest that the modulation of gut microbiota altered bile acids levels and further affected vitamin A absorbtion in the host gut, and the abnormal vitamin A metabolism was transferable to the testis through the blood circulation, resulting in damaged spermatogenesis in the MetS model. We therefore suggest that this study may have promising therapeutic value for male infertility induced by MetS.
  37 in total

1.  High-fat diets reduce male reproductive success in animal models: A systematic review and meta-analysis.

Authors:  Angela J Crean; Alistair M Senior
Journal:  Obes Rev       Date:  2019-02-12       Impact factor: 9.213

2.  Genetically Inherited Obesity and High-Fat Diet-Induced Obesity Differentially Alter Spermatogenesis in Adult Male Rats.

Authors:  Sharvari S Deshpande; Harishankar Nemani; Suresh Pothani; Kushaan Khambata; Anita Kumar; Prathap Reddy Kallamadi; Nafisa H Balasinor
Journal:  Endocrinology       Date:  2019-01-01       Impact factor: 4.736

3.  Retinoid signaling determines germ cell fate in mice.

Authors:  Josephine Bowles; Deon Knight; Christopher Smith; Dagmar Wilhelm; Joy Richman; Satoru Mamiya; Kenta Yashiro; Kallayanee Chawengsaksophak; Megan J Wilson; Janet Rossant; Hiroshi Hamada; Peter Koopman
Journal:  Science       Date:  2006-03-30       Impact factor: 47.728

4.  Single-Cell RNA Sequencing Analysis Reveals Sequential Cell Fate Transition during Human Spermatogenesis.

Authors:  Mei Wang; Xixi Liu; Gang Chang; Yidong Chen; Geng An; Liying Yan; Shuai Gao; Yanwen Xu; Yueli Cui; Ji Dong; Yuhan Chen; Xiaoying Fan; Yuqiong Hu; Ke Song; Xiaohui Zhu; Yun Gao; Zhaokai Yao; Shuhui Bian; Yu Hou; Jiahao Lu; Rui Wang; Yong Fan; Ying Lian; Wenhao Tang; Yapeng Wang; Jianqiao Liu; Lianming Zhao; Luyu Wang; Zhaoting Liu; Renpei Yuan; Yujia Shi; Boqiang Hu; Xiulian Ren; Fuchou Tang; Xiao-Yang Zhao; Jie Qiao
Journal:  Cell Stem Cell       Date:  2018-08-30       Impact factor: 24.633

5.  Vitamin A deficiency in the late gastrula stage rat embryo results in a one to two vertebral anteriorization that extends throughout the axial skeleton.

Authors:  Mary E Kaiser; Ronald A Merrill; Adam C Stein; Edith Breburda; Margaret Clagett-Dame
Journal:  Dev Biol       Date:  2003-05-01       Impact factor: 3.582

Review 6.  Retinoic acid, meiosis and germ cell fate in mammals.

Authors:  Josephine Bowles; Peter Koopman
Journal:  Development       Date:  2007-08-22       Impact factor: 6.868

7.  RDH10 is essential for synthesis of embryonic retinoic acid and is required for limb, craniofacial, and organ development.

Authors:  Lisa L Sandell; Brian W Sanderson; Gennadiy Moiseyev; Teri Johnson; Arcady Mushegian; Kendra Young; Jean-Philippe Rey; Jian-xing Ma; Karen Staehling-Hampton; Paul A Trainor
Journal:  Genes Dev       Date:  2007-05-01       Impact factor: 11.361

8.  Retinoic acid is able to reinitiate spermatogenesis in vitamin A-deficient rats and high replicate doses support the full development of spermatogenic cells.

Authors:  A M van Pelt; D G de Rooij
Journal:  Endocrinology       Date:  1991-02       Impact factor: 4.736

9.  RDH10 oxidation of Vitamin A is a critical control step in synthesis of retinoic acid during mouse embryogenesis.

Authors:  Lisa L Sandell; Megan L Lynn; Kimberly E Inman; William McDowell; Paul A Trainor
Journal:  PLoS One       Date:  2012-02-02       Impact factor: 3.240

10.  Citrus polymethoxyflavones attenuate metabolic syndrome by regulating gut microbiome and amino acid metabolism.

Authors:  Su-Ling Zeng; Shang-Zhen Li; Ping-Ting Xiao; Yuan-Yuan Cai; Chu Chu; Bai-Zhong Chen; Ping Li; Jing Li; E-Hu Liu
Journal:  Sci Adv       Date:  2020-01-03       Impact factor: 14.136

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  12 in total

1.  Rifaximin Protects against Malathion-Induced Rat Testicular Toxicity: A Possible Clue on Modulating Gut Microbiome and Inhibition of Oxidative Stress by Mitophagy.

Authors:  Nesreen Nabil Omar; Rasha A Mosbah; Wedad S Sarawi; Marwa Medhet Rashed; Amira M Badr
Journal:  Molecules       Date:  2022-06-24       Impact factor: 4.927

2.  The gut microbiota-bile acid axis links the positive association between chronic insomnia and cardiometabolic diseases.

Authors:  Zengliang Jiang; Lai-Bao Zhuo; Yan He; Yuanqing Fu; Luqi Shen; Fengzhe Xu; Wanglong Gou; Zelei Miao; Menglei Shuai; Yuhui Liang; Congmei Xiao; Xinxiu Liang; Yunyi Tian; Jiali Wang; Jun Tang; Kui Deng; Hongwei Zhou; Yu-Ming Chen; Ju-Sheng Zheng
Journal:  Nat Commun       Date:  2022-05-30       Impact factor: 17.694

Review 3.  Effects of Non-Polar Dietary and Endogenous Lipids on Gut Microbiota Alterations: The Role of Lipidomics.

Authors:  Konstantinos Tsiantas; Spyridon J Konteles; Eftichia Kritsi; Vassilia J Sinanoglou; Thalia Tsiaka; Panagiotis Zoumpoulakis
Journal:  Int J Mol Sci       Date:  2022-04-07       Impact factor: 6.208

4.  Polyamine metabolism links gut microbiota and testicular dysfunction.

Authors:  Qi Zhao; Jian-Feng Huang; Yan Cheng; Man-Yun Dai; Wei-Feng Zhu; Xiu-Wei Yang; Frank J Gonzalez; Fei Li
Journal:  Microbiome       Date:  2021-11-11       Impact factor: 14.650

5.  Rumen Microbiome and Metabolome of High and Low Residual Feed Intake Angus Heifers.

Authors:  Yue Liu; Hao Wu; Wanbao Chen; Chang Liu; Qingxiang Meng; Zhenming Zhou
Journal:  Front Vet Sci       Date:  2022-03-25

Review 6.  Investigating local and systemic intestinal signalling in health and disease with Drosophila.

Authors:  Andre Medina; Karen Bellec; Sofia Polcowñuk; Julia B Cordero
Journal:  Dis Model Mech       Date:  2022-03-28       Impact factor: 5.758

7.  Multi-Omic Analysis in a Metabolic Syndrome Porcine Model Implicates Arachidonic Acid Metabolism Disorder as a Risk Factor for Atherosclerosis.

Authors:  Song-Song Xu; Xiu-Ling Zhang; Sha-Sha Liu; Shu-Tang Feng; Guang-Ming Xiang; Chang-Jiang Xu; Zi-Yao Fan; Kui Xu; Nan Wang; Yue Wang; Jing-Jing Che; Zhi-Guo Liu; Yu-Lian Mu; Kui Li
Journal:  Front Nutr       Date:  2022-02-23

8.  Gut microbiota-testis axis: FMT improves systemic and testicular micro-environment to increase semen quality in type 1 diabetes.

Authors:  Yanan Hao; Yanni Feng; Xiaowei Yan; Liang Chen; Ruqing Zhong; Xiangfang Tang; Wei Shen; Qingyuan Sun; Zhongyi Sun; Yonglin Ren; Hongfu Zhang; Yong Zhao
Journal:  Mol Med       Date:  2022-04-25       Impact factor: 6.376

9.  Effects of the Probiotic, Lactobacillus delbrueckii subsp. bulgaricus, as a Substitute for Antibiotics on the Gastrointestinal Tract Microbiota and Metabolomics Profile of Female Growing-Finishing Pigs.

Authors:  Jiayuan Mo; Yujie Lu; Shan Jiang; Gang Yan; Tianqi Xing; Di Xu; Yaoyin He; Bingkun Xie; Ganqiu Lan; Baojian Chen; Jing Liang
Journal:  Animals (Basel)       Date:  2022-07-11       Impact factor: 3.231

10.  The Herb Pair Radix Rehmanniae and Cornus Officinalis Attenuated Testicular Damage in Mice With Diabetes Mellitus Through Butyric Acid/Glucagon-Like Peptide-1/Glucagon-Like Peptide-1 Receptor Pathway Mediated by Gut Microbiota.

Authors:  Yuping Chen; Siyuan Song; Anmei Shu; Liping Liu; Jinjin Jiang; Ming Jiang; Qin Wu; Huiqin Xu; Jihu Sun
Journal:  Front Microbiol       Date:  2022-02-22       Impact factor: 5.640

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