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. 2020 Mar 10;159(5):627–641. doi: 10.1530/REP-19-0435

Low protein diet and methyl-donor supplements modify testicular physiology in mice

Hannah L Morgan 1, Isaac Ampong 2, Nader Eid 1, Charlène Rouillon 3, Helen R Griffiths 2, Adam J Watkins 1,
PMCID: PMC7159163  PMID: 32163913

Abstract

The link between male diet and sperm quality has received significant investigation. However, the impact diet and dietary supplements have on the testicular environment has been examined to a lesser extent. Here, we establish the impact of a sub-optimal low protein diet (LPD) on testicular morphology, apoptosis and serum fatty acid profiles. Furthermore, we define whether supplementing a LPD with specific methyl donors abrogates any detrimental effects of the LPD. Male C57BL6 mice were fed either a control normal protein diet (NPD; 18% protein; n = 8), an isocaloric LPD (LPD; 9% protein; n = 8) or an LPD supplemented with methyl donors (MD-LPD; choline chloride, betaine, methionine, folic acid, vitamin B12; n = 8) for a minimum of 7 weeks. Analysis of male serum fatty acid profiles by gas chromatography revealed elevated levels of saturated fatty acids and lower levels of mono- and polyunsaturated fatty acids in MD-LPD males when compared to NPD and/or LPD males. Testes of LPD males displayed larger seminiferous tubule cross section area when compared to NPD and MD-LPD males, while MD-LPD tubules displayed a larger luminal area. Furthermore, TUNNEL staining revealed LPD males possessed a reduced number of tubules positive for apoptosis, while gene expression analysis showed MD-LPD testes displayed decreased expression of the pro-apoptotic genes Bax, Csap1 and Fas when compared to NPD males. Finally, testes from MD-LPD males displayed a reduced telomere length but increased telomerase activity. These data reveal the significance of sub-optimal nutrition for paternal metabolic and reproductive physiology.

Introduction

Studies have indicated that male reproductive fitness has declined globally over recent decades (Levine et al. 2017). Many factors have been shown to impact negatively on male reproductive fitness and capacity, including obesity (Crean & Senior 2019), smoking (Ranganathan et al. 2019), diabetes (Lu et al. 2017) and genetic polymorphisms (Louie et al. 2016). Of these, the global rise in rates of obesity and metabolic disease have received significant attention (Liu & Ding 2017). Some studies in both humans and animal models have reported negative associations between the consumption of high fat diets or increasing male BMI and sperm quality, embryo development and fetal growth (Bakos et al. 2011, Mitchell et al. 2011, Colaci et al. 2012). However, other studies report only slight increases in rates of oligozoospermia in obese men as compared with men of normal weight (Jensen et al. 2004). Similarly, studies in rats have reported that, while prevalence of asthenozoospermia was increased in overweight males, no increase in rates of oligozoospermia were observed (Jia et al. 2018). As such, an absolute link between male obesity and reduced sperm quality is still to be defined.

Obesity is characterised by the increased deposition of ectopic adipose tissue (Szendroedi & Roden 2009), elevated levels of plasma fatty acids and triacylglycerol and an increased tendency to develop insulin resistance (Stinkens et al. 2015) and metabolic diseases such as type 2 diabetes (Saponaro et al. 2015). Links between obesity and male reproductive health are understandable, as cholesterol is the predominant metabolic precursor in the synthesis of testosterone, the main regulator of spermatogenesis. Animal studies have observed links between elevated serum cholesterol, impaired steroidogenesis, testicular morphology and male fertility (Rulli et al. 2003, Khorrami et al. 2015, Whitfield et al. 2015). In addition to the effects on steroidogenesis, plasma fatty acids are also transported around the body via circulation, being taken up and metabolised by numerous tissues resulting in lipotoxicity, tissue inflammation and cell death (Lumeng & Saltiel 2011). Particularly sensitive to the lipotoxic effects of type 2 diabetes or obesity are the testes. As the testes are rich in polyunsaturated fatty acids (PUFAs), they are susceptible to lipid peroxidation in the presence of reactive oxygen species, further enhancing lipotoxicity (Asadi et al. 2017). In rodents, the hyperglycaemia, hyperinsulinemia and hypercholesterolemia associated with high fat diets correlate with significant changes in testicular morphology (Campos-Silva et al. 2015, Fan et al. 2015). Furthermore, animal studies identify increased levels of reactive oxygen species and apoptosis of seminiferous tubule germ cells as mechanisms linking dietary fat intake with altered testicular morphology (Ghosh & Mukherjee 2018, Simon et al. 2018). However, in humans, clear links between serum lipid profiles and male fertility remain to be defined with some studies showing a negative impact of elevated cholesterol and phospholipids (Schisterman et al. 2014) while others do not (Hagiuda et al. 2014). Therefore, changes in paternal nutrition and physiology could alter circulating lipid profiles which then impact directly or indirectly on testicular cell death, seminiferous tubule morphology and ultimately reproductive fitness (Oliveira et al. 2017).

There is also growing evidence that poor diet elevates levels of serum and tissue homocysteine, perturbing cellular 1-carbon metabolism, impacting negatively on male fertility (Singh & Jaiswal 2013). Central to the 1-carbon metabolism cycle is the re-methylation of homocysteine to methionine by methionine synthase. This reaction prevents the cellular build-up of homocysteine and ensures an adequate supply of methionine for the synthesis of S-adenosylmethionine, an essential cofactor in the methylation of DNA and histones (Ducker & Rabinowitz 2017). Changes in DNA methylation profiles have been identified in sperm of infertile men (Sujit et al. 2018), bulls (Kropp et al. 2017), boars (Congras et al. 2014) and rats (Song & Yang 2018). Furthermore, studies have shown that, in sub-fertile men, folate supplementation can have beneficial effects on sperm quality (Irani et al. 2017). Therefore, dietary induced disturbances in testicular 1-carbon methyl donor metabolism may provide a link between poor paternal diet, sperm epigenetic status and offspring development.

We have shown that offspring of male mice fed a low protein diet (LPD) are born heavier and display impaired glucose metabolism, increased adiposity and perturbed cardiovascular function in adult life (Watkins & Sinclair 2014, Watkins et al. 2018). Furthermore, we observe that sperm from LPD males display genome-wide sperm DNA hypomethylation, associated with changes in testicular expression of central regulators of DNA methylation and 1-carbon metabolism (Watkins et al. 2018). However, we observe no detrimental impact of LPD on paternal reproductive fitness as measured by changes in total sperm production, capacity to mate females or litter sizes (Watkins & Sinclair 2014, Watkins et al. 2017, 2018). This suggests that paternal LPD impacts more on testicular function and sperm epigenetic status than on sperm production and fundamental fertility. Therefore, in the present study, we define the impact of paternal LPD on testicular morphology and cellular proliferation. Furthermore, we investigate whether supplementing the LPD with vitamins and methyl donors (e.g. vitamin B6, folate, methionine) can negate the detrimental effects of LPD.

Materials and methods

Dietary regimens

All experimental and study procedures were conducted under the UK Home Office Animal (Scientific Procedures) Act 1986 Amendment Regulations 2012, which transposed Directive 2010/63/EU into UK law, and were approved by the Animal Welfare and Ethical Review Board at Aston University. Eight-week-old C57BL/6 male mice (Harlan Ltd, Belton, Leicestershire, UK) were maintained and fed either control normal protein diet (NPD; 18% casein; n = 8), isocaloric low protein diet (LPD; 9% casein; n = 8) or LPD supplemented with 1-carbon methyl donors (MD-LPD; 5 g/kg diet choline chloride, 15 g/kg diet betaine, 7.5 g/kg diet methionine, 15 mg/kg diet folic acid, 1.5 mg/kg diet vitamin B12; n = 8). Diets were manufactured commercially (Special Dietary Services Ltd; UK) and their composition is provided in Table 1. After 7 weeks on the respective diets, males were mated to virgin, chow-fed 8-week-old C57BL/6 females (Harlan Ltd, Belton, Leicestershire, UK) with each male mating one single female. Following mating, males were killed via cervical dislocation. Blood samples were taken via heart puncture, centrifuged at 10,600 g (4°C, 10 min) and the serum aliquoted and stored at −80°C. Testes were dissected and weighted prior to being snap frozen and stored at −80°C (right testis) or fixed overnight in 10% neutral buffered formalin at 4°C prior to wax embedding (left testis). Pregnant females were culled via cervical dislocation for the analysis of litter size and fetal weight.

Table 1.

Gross composition of the diets used in this study.

Dietary supplement NPD (g/kg) LPD (g/kg) MD-LPD (g/kg)
Casein 180  90  90
Corn Oil 100 100 100
Starch Maize 425 485 485
Cellulose  50  50  50
Sucrose 213 243 243
Vitamins (AIN76)  5  5  5
Minerals (AIN76)  20  20  20
Choline Chloride  2  2  7
D,L-Methionine  5  5 12.5
Betaine  15
Folic Acid 0.015
Vitamin B12 0.0015

Serum free fatty acid and testosterone analysis

Serum non-esterified fatty acid profiles were determined using a methodology adapted from Ichihara and Fukubayashi (2010). Briefly, an internal standard (Undecanoic acid; C11:0) (Sigma) was added to 50 μL of mouse serum prior to being diluted to a final volume of 450 μL in PBS (Thermo-Fisher). Fatty acids were extracted using a chloroform-methanol mix (2:1; Thermo-Fisher) in 0.01% butylated hydroxytoluene (Sigma) prior to centrifugation at 200 g for 10 min at 4°C. The organic (chloroform) phase was removed and dried under nitrogen gas. The isolated fatty acids were methylated (200 μLtoluene, 0.3 mL (6.3%) HCL)) in 1.5 mL methanol (all from Thermo-Fisher) at 100°C for 1 h in PTFE-sealed glass vials. The fatty acid methyl esters (FAMEs) were subsequently extracted with 1 mL of hexane (Thermo-Fisher) and 1 mL of water, evaporated under nitrogen and re-suspended in 20 μL of hexane prior to analyses by gas chromatography (7820A (G4350A) GC system; Agilent technologies) equipped with a flame-ionization detector and using an Omegawax 250 capillary column (30 m × 0.25 mm ID × 0.25 µm film; Sigma). Recovery rates were calculated following analysis of serum spiked with undecanoic acid (C11:0, 0.2 mg/mL) in two separate samples. The concentrations of fatty acids in the non-spiked samples were subtracted from the spiked samples and the recovery percentages calculated, observing an average recovery rate of 70.78%. Identification of the fatty acid peaks were determined against peak areas of a Supelco 37 fatty acid methyl ester standard mix (Sigma), and individual fatty acid concentrations were determined by reference to the peak of the internal standard.

Serum testosterone levels were determined using a testosterone ELISA kit (Abcam, #ab108666) according to the manufacturer’s instructions.

Testicular histology

Wax embedded testes were sectioned at 5 µm using a Leitz 1512 rotary microtome (Leica). For analysis of seminiferous tubule morphology, sections were processed and stained with hematoxylin and eosin prior to imaging using a Leica DMRB microscope and image analysis using ImageJ software. Tubules were analysed for total tubule cross-section area, tubule perimeter, area of the tubule epithelium and area of the tubule lumen. On average, 30–40 individual seminiferous tubules were analysed per male.

For analysis of apoptosis, terminal deoxynucleotidyl transferase (TdT) dUTP Nick-End Labelling (TUNEL) staining was performed on separate testicular sections using the In Situ Cell Death Detection Kit (Roche) according to the manufacturer’s instructions. Briefly, slides were dewaxed and re-hydrated prior to microwave antigen retrieval for 5 min in 0.1 M tri-sodium citrate buffer (pH 6.0). Slides were stained using the supplied TUNEL reaction mixture and incubated for 60 min at 37°C in a humidified chamber and kept in darkness. Sections were mounted in Vectashield (Vector Laboratories, UK) prior to image analysis. Negative (PBS only) and positive (DNAse treated prior to application of supplied TUNEL reaction mixture) slides were prepared and treated in parallel to experimental slides. Sections were imaged using an ECLIPSE 90i (Nikon) microscope. Individual tubules were scored as either containing or lacking any apoptotic cells. On average, 40–50 tubules were analysed per male.

For analysis of Ki67 staining, testicular sections were dewaxed, re-hydrated and microwaved in 0.1M tri-sodium citrate buffer (pH 6.0) for 5 min. Sections were blocked in 10% normal donkey serum (Sigma) diluted in PBS with 1% BSA (Sigma) at room temperature for 1 hour prior to the application of the anti Ki67 antibody (Abcam, catalogue # ab155580) diluted 1:50 in PBS with 1% BSA and incubated at 4°C overnight. Negative controls were incubated in PBS with 1% BSA alone. Slides were washed (three time in PBS) prior to the addition of a fluorescent secondary antibody (donkey anti rabbit IgG, 1:100, Invitrogen) at room temperature for 1 hour. Slides were washed (three time in PBS), mounted in Vectashield (Vector Laboratories, UK) and imaged using an ECLIPSE 90i (Nikon) microscope. On average, 40–50 tubules were analysed per male.

Testicular and hepatic RNA extraction and gene expression analysis

RNA was extracted from livers and testes using the TissueLyser (Qiagen; 60 s at 25 Hz) and the RNeasy Mini Plus Kit (Qiagen) and quantified by Nanodrop prior to cDNA synthesis using the NanoScript (PrimerDesign, UK) kit, all according to the manufacturer’s instructions. For Real-Time PCR (RT-qPCR), 5 ng cDNA was added to a reaction mixture containing 1X Precision SYBRgreen Mastermix (Primerdesign, UK), 175 nM forward and reverse primers (Eurofins) and water. Amplification and detection of hepatic genes was performed using a Stratagene MX 3000P System (Agilent Technologies), while testicular gene expression was analysed using an Applied Biosystems 7500 Fast system. For both tissues, a post-amplification melting curve confirmed the presence of specific products for each primer set. Ct values were converted to relative expression values using the delta-delta Ct method with gene-of-interest expression normalised to Pgk1 and Tbp for hepatic tissue and Sdha and Tbp for testicular tissue, both using geNorm software as described previously (Lucas et al. 2011). Primer sequences are provided in Table 2.

Table 2.

List of primers used for RT-qPCR studies.

Gene name Gene symbol Accession number Primer sequences Amplicon length
Forward primer Reverse primer
Phosphoglycerate kinase 1 Pgk1 NM_008828 tacctgctggctggatggaagacc cacagcctcggcatatttct 65
Succinate dehydrogenase complex, subunit A, flavoprotein Sdha NM_023281 tgttcagttccaccccaca tctccacgacacccttctgt 66
TATA box binding protein Tbp NM_013684.3 gggagaatcatggaccagaa gatgggaattccaggagtca 90
BCL2-associated agonist of cell death Bad NM_007522.3 gccctaggcttgaggaagtc catactctgggctgctggtc 90
BCL2-associated X protein Bax NM_007527.3 agtgtctccggcgaattg ccacgtcagcaatcatcct 69
B cell leukemia/lymphoma 2 Bcl2 NM_009741.5 gtacctgaaccggcatctg gctgagcagggtcttcagag 130
Caspase 1 Casp1 NM_009807.2 caagttgacctcagagaaatgaag ggcagcaaattctttcacct 114
Fatty acid binding protein 1, liver Fabp1 NM_017399.4 acttctccggcaagtaccaa ttccctttctggatgaggtc 214
Fatty acid binding protein 3, liver Fabp3 NM_010174.1 ctttgtcggtacctggaagc cagagcgctggtcatgtagt 222
Fatty acid desaturase 2 Fads2 NM_019699.1 attcgggagaagatgctacg aagaacttgcccacgaagtc 233
Fas (TNF receptor superfamily member 6) Fas NM_007987.2 caagtgcaagtgcaaaccag gggttccatgttcacacga 86
Stearoyl-Coenzyme A desaturase 1 Scd1 NM_009127.4 ttccctcctgcaagctctac cagagcgctggtcatgtagt 156
Bromodomain, testis-specific Brdt NM_054054.2 agggtgatcggataaggccc caaccacttcggatcctggt 221
GATA binding protein 1 Gata1 NM_008089.2 catcaacaagcccaggttcaa cagaatccacaaactggggc 98
IQ Motif Containing G Iqcg NM_178378.3 tggaggagattgagaaactgag gccaggtcttgcaggtgtac 214
SRY (sex determining region Y)-box 9 Sox9 NM_011448.4 gtacccgcatctgcacaac ctcctccacgaagggtctct 94
TATA-Box Binding Protein Associated Factor 2 Taf2 NM_001081288.1 gagtatggcagagagaggtgct acggatagcgacaagtcaaaat 398
Testis Expressed 101 Tex101 NM_019981.2 caggtcttgatcggctcttc gcaaagttctcctggattgc 214

Testicular telomere length and telomerase activity analyses

For analysis of testicular telomere length, a real-time PCR (RT-qPCR) method was used to measure relative telomere length against the single copy gene Rplp0 (36B4) as an internal control, using genomic DNA as a template. DNA was extracted from testes using the TissueLyser (Qiagen; 60 ss at 25 Hz) and the DNeasy Mini Kit (Qiagen) according to manufacturer’s instructions. Fifty nanogram of testicular DNA was added to 1X Precision SYBRgreen Mastermix (Primerdesign, UK), 350 nM forward and reverse primers (Eurofins) and water. Amplification and detection was performed using an Applied Biosystems 7500 Fast system. Primer sequences are provided in Table 2.

Paternal testicular tissue telomerase activity was determined using the TeloTAGGG™ Telomerase PCR ELISA (Sigma) according to the manufacturer’s instructions. Briefly, 40–100 mg of testis tissue were lysed using the TissueLyser (90 s at 30 Hz; Qiagen). Samples were incubated on ice for 30 min prior to centrifugation at 16,000 g for 20 min at 4°C. Protein content of the supernatant was determined by DC protein assay (BioRad) and a total protein extract of 50 µg was used in each reaction assay. All samples were analysed in duplicate and a relative change in telomerase activity was determine at an absorbance of 450 nm.

Statistical analysis

All data were analysed using GraphPad Prism (version 7). Data were assessed initially for normality (Shaprio–Wilk and Kolmogorov–Smirnov tests) prior to analysis using one-way ANOVA followed by Bonferroni post-hoc test, or Kruskal–Wallis test with Dunns multiple comparison test where appropriate (GraphPad Prism, version 7). Correlations between parameters were conducted using Pearson correlation. Significance was taken at P < 0.05.

Results

After 5 weeks on respective diets, males fed MD-LPD became significantly heavier than males fed either NPD or LPD (Fig. 1A, P < 0.05). This increase in body weight coincided with an increase in gonadal fat pad weight in MD-LPD males when compared to NPD and LPD males (Fig. 1B, P < 0.05). However, this did not represent a change in gonadal fat pad:body weight ratio (Fig. 1C). No difference in mean testicular weight was observed between groups (Fig. 1D). However, due to the increased body weight observed in MD-LPD males, when expressed relative to body weight, MD-LPD males displayed a lower testis:body weight ratio when compared to NPD males (Fig. 1E, P = 0.02). No significant difference in serum testosterone levels were observed between any of the treatment groups (Fig. 1F). Analysis of late gestation litter sizes (Fig. 1G) and fetal weight (Fig. 1H) showed there to be no significant differences between any of the treatment groups.

Figure 1.

Figure 1

Impact of NPD, LPD and MD-LPD on male growth (A), gonadal fat weight (B) gonadal fat:body weight ratio (C), testis weight (D) testis:body weight ratio (E), serum testosterone (F), late gestation litter size (G) and fetal weight. Data are mean ± s.e.m. in A–G and mean (solid line) with 25 and 75% quartiles (dashed lines) in H. n = 8 males per dietary group in A–G and eight litters (each from separate males) representing an n of 52–59 fetuses per treatment group in H. Data were analysed by one-way ANOVA followed by Bonferroni post-hoc test, or Kruskal–Wallis test with Dunns multiple comparison test where appropriate. *P < 0.05, **P < 0.01, ***P < 0.001.

Analysis of serum fatty acid profiles revealed that MD-LPD males displayed elevated levels of saturated fatty acids when compared to LPD males (Fig. 2A, P = 0.004), lower levels of monounsaturated fatty acids when compared to NPD (Fig. 2B, P = 0.014) and LPD males (Fig. 2B, P = 0.039) and lower levels of polyunsaturated fatty acids when compared to LPD males (Fig. 2C, P = 0.004). Analysis of individual fatty acids (Table 3) revealed LPD fed males displayed significantly lower proportions of capric acid (C10:0), myristic acid (C14:0) cis-10-Pentadecenoic acid (C15:1), palmitic acid (C16:0) and heptadecanoic acid (C17:0) when compared to NPD and/or MD-LPD fed males (P < 0.05), but higher amounts of stearic acid (C18:0), arachidonic acid (C20:4) and lignoceric acid (C24:0) (P < 0.05). In addition, MD-LPD males displayed elevated levels of lauric acid (C12:0), heptadecanoic acid (C17:0) and docosanoic acid (C22:0) when compared NPD and/or LPD males (P < 0.05), while levels of oleic acid (C18:1), linoleic acid (C18:2) and cis-13,16-docosadienoic acid (C22:2) acid were lower when compared to NPD and/or LPD males (P < 0.05). No differences in serum profiles of pentadecanoic acid (C15:0) were observed between groups. Analysis of the palmitic acid (C16:0) to linoleic acid (18:2) ratio (an indicator of de novo lipogenesis) revealed an elevated ratio in MD-LPD males which was significant when compared to LPD males (Fig. 2D, P = 0.004). Similarly, the ratio of stearic acid (C18:0) to oleic acid (C18:1) was also increased in MD-LPD males when compared to NPD males (Fig. 2E, P = 0.005), while the ratio of linoleic acid (C18:2) to arachidonic acid (C20:4) was significantly decreased in both LPD and MD-LPD males when compared NPD males (Fig. 2F, P < 0.001).

Figure 2.

Figure 2

Impact of NPD, LPD and MD-LPD on serum saturated fatty acids (A), monounsaturated fatty acids (B), polyunsaturated fatty acids (C), palmitic:linoleic acid ratio (D), stearic:oleic acid ratio (E) and linoleic:arachidonic acid ratio (F). Relative hepatic expression of fatty acid binding protein 1 (Fabp1) (G), fatty acid binding protein 3 (Fabp3) (H), fatty acid desaturase 2 (Fads2) (I) and stearoyl-Coenzyme A desaturase 1 (Scd1) (J). Data are mean ± s.e.m. n = 8 males per dietary group. Data were analysed by one-way ANOVA followed by Bonferroni post-hoc test, or Kruskal–Wallis test with Dunns multiple comparison test where appropriate. *P < 0.05, **P < 0.01, ***P < 0.001.

Table 3.

Serum fatty acid profiles.

Fatty acid (abbreviated structure) Diet
NPD (% µM) LPD (% µM) MD-LPD (% µM)
Capric acid (C10:0) 6.16 ± 0.56a 2.68 ± 0.25b 6.88 ± 0.50a
Lauric acid (C12:0) 3.80 ± 0.60a 1.93 ± 0.25a 7.15 ± 0.73b
Myristc acid (C14:0) 5.19 ± 0.28a 2.02 ± 0.14b 5.61 ± 0.22a
Pentadecanoic acid (C15:0) 1.74 ±0.27a 1.31 ± 0.30a 1.95 ± 0.21a
cis-10-Pentadecenoic acid (C15:1) 1.54 ± 0.21a 0.92 ± 0.10b 1.22 ± 0.09a,b
Palmitic acid (C16:0) 22.94 ± 0.55a 19.09 ± 2.76b 21.25 ± 1.85a,b
Heptadecanoic acid (C17:0) 5.84 ± 0.53a 3.03 ± 0.42b 8.08 ± 0.44c
Stearic acid (C18:0) 13.57 ± 0.73a 16.61 ± 0.54b 14.90 ± 0.83a,b
Oleic acid (C18:1) 14.23 ± 0.42a 14.93 ± 1.01a 11.62 ± 0.46b
Linoleic acid (C18:2) 18.72 ± 0.77a 17.60 ± 0.99a 11.13 ± 1.03b
Arachidonic acid (C20:4) 2.89 ± 0.31a 14.08 ± 1.81b 6.83 ± 0.78a,b
Docosanoic acid (C22:0) 0.73 ± 0.09a,b 0.58 ± 0.17a 1.68 ± 0.40b
cis-13,16-docosadienoic acid (C22:2) 1.71 ± 0.28a 0.82 ± 0.27a,b 0.81 ± 0.14b
Lignoceric acid (C24:0) 0.94 ± 0.21a 4.40 ± 0.41b 0.89 ± 0.17a

Data are mean ± s.e.m. n = 8 males per dietary group. Data were analysed by one-way ANOVA followed by Bonferroni post-hoc test, or Kruskal–Wallis test with Dunns multiple comparison test where appropriate. All differences (as denoted by a different subscript letter) represent statistical significance at P < 0.05.

To determine if changes in serum fatty acid profiles were underlined by changes in hepatic cholesterol uptake and fatty acid synthesis, we analysed the hepatic transcript expression in our dietary manipulated males. We observed no difference in the relative expression of the fatty acid-binding protein 1 (liver) (Fabp1, Fig. 2G), fatty acid-binding protein 3 (heart) (Fabp3, Fig. 2H), fatty acid desaturase 2 (Fads2, Fig. 2I) or stearoyl-Coenzyme A desaturase 1 (Scd1, Fig. 2J) between groups.

We observed significant changes in gross testicular seminiferous tubule morphology in response to diet (Fig. 3A, B and C). While there were no differences in the relative proportions of tubules at each stage of the seminiferous tubule cycle between treatment groups (Fig. 3D), we observed increased mean seminiferous tubule cross-section area (Fig. 3E), perimeter (Fig. 3F) and area of epithelium (Fig. 3H) in testes from LPD fed males as compared to NPD and MD-LPD males (P < 0.05). In addition, testes from MD-LPD males displayed increased cross-section luminal area when compared to NPD males (Fig. 3G, P = 0.011). Expression analysis of multiple seminiferous tubule cell-specific markers revealed no difference in levels of the sertoli cell markers Sox9 or Gata1 (Fig. 3I and J), the spermatocyte and spermatid markers Taf2 and Tex101 (Fig. 3L and M) or the maturing spermatid marker Iqcg (Fig. 3N). However, increased expression of the pachytene and diplotene spermatocyte marker Brdt was observed in MD-LPD testes when compared to NPD testes (P < 0.01; Fig. 3K).

Figure 3.

Figure 3

Impact of NPD, LPD and MD-LPD on testicular morphology. Representative cross section image of NPD (A), LPD (B) and MD-LPD (C) seminiferous tubule morphology. Quantification of seminiferous tubule stage in NPD, LPD and MD-LPD testes (D). Mean seminiferous tubule cross section area (E), perimeter (F), lumen area (G) and area of the epithelium (H). Relative testicular expression of SRY sex determining region Y-box 9 (Sox9) (I), GATA binding protein 1(Gata1) (J), bromodomain, testis-specific (Brdt) (K), TATA-Box Binding Protein Associated Factor 2 (Taf2) (L), testis Expressed 101 (Tex101) (M) and IQ Motif Containing G (Iqcg) (n). Data are mean ± s.e.m. n = 8 males per dietary group with a minimum of 50 tubules per testis analysed in A–H. Data were analysed by one-way ANOVA followed by Bonferroni post-hoc test, or Kruskal–Wallis test with Dunns multiple comparison test where appropriate. *P < 0.05, **P < 0.01.

To determine the mechanisms underlying the increase in tubule cross-section area, we analysed testicular profiles of apoptosis and proliferation. We observed decreased proportions of tubules with TUNNEL positive cells in the testes of LPD males when compared to NPD males (Fig. 4B; P = 0.014). Expression analysis of central regulators of apoptosis revealed decreased expression of Bax, Casp1 and Fas in the testes of MD-LPD males when compared to NPD males (Fig. 4D, G and H). No differences in the expression of Bad or Bcl2 were observed between treatment groups (Fig. 4C and E). We also observed a significant reduction in the relative Bax:Bcl2 ratio between NPD and MD-LPD males (Fig. 4F, P = 0.007). While this ratio was also reduced in the LPD males, it did not reach significance when compared to NPD males (P = 0.07). In contrast, we observed increased number of tubules staining positive for the marker of proliferation, Ki67 in LPD tubules when compared to NPD tubules (Fig. 4J). However, there were no differences in the mean number of Ki67 positive cells per tubule between groups (Fig. 4K).

Figure 4.

Figure 4

Impact of NPD, LPD and MD-LPD on testicular apoptosis. Representative TUNEL and DAPI stained sections of NPD, LPD and MD-LPD testis and negative control (bar = 100 µm) (A) showing apoptotic cells (white arrow heads) and the percentage of tubules showing apoptotic cells (B). Relative testicular expression of BCL2-associated agonist of cell death (Bad) (C), BCL2-associated X protein (Bax) (D), B cell leukemia/lymphoma (Bcl2) (E), Bax:Bcl2 expression ratio (F), caspase 1 (Casp1) (G) and TNF receptor superfamily member 6 (Fas) (H). Representative Ki67 and DAPI stained sections of NPD, LPD and MD-LPD testis and negative control (bar = 100 µm) (I) with the percentage of tubules showing positive stained cells (J) and mean number of Ki67 positive cells per tubule (K). Data are mean ± s.e.m. n = 8 males per dietary group. Data were analysed by one-way ANOVA followed by Bonferroni post-hoc test, or Kruskal–Wallis test with Dunns multiple comparison test where appropriate. *P < 0.05, **P < 0.01.

To assess whether telomere length was related to the observed changes in testicular morphology and cellular proliferation, we measured testicular telomere length by RT-qPCR. We observed that, in the testes of MD-LPD fed males, the telomere to single copy gene ratio (ratio of the cT for telomere and the single copy gene) was significantly increased (indicating shorter telomere length) when compared to NPD males (Fig. 5A; P = 0.002). To define the associations between testicular telomere length and male physiology further, we correlated telomere length (as defined by the T/S ratio) with body weight and gonadal fat weight. We observed no significant correlation between telomere length and body weight either when all males were analysed together or as individual diet groups (Fig. 5B and C). However, in all groups, a significant correlation between telomere length and gonadal fat mass was observed (Fig. 5D; P = 0.02), with a significantly elevated level of association observed in MD-LPD males when compared to both NPD and LPD males (Fig. 5E; P = 0.035). Finally, we determined the activity of testicular telomerase activity using the TRAP real-time PCR assay. We observed a significantly elevated telomerase activity in the testicular tissue of MD-LPD males when compared to NPD and LPD males. (Fig. 5F; P < 0.01).

Figure 5.

Figure 5

Impact of NPD, LPD and MD-LPD on testicular telomere length (as determined by the T/S ratio) (A). Correlation of body weight to T/S ratio in all males (B) and individual dietary groups (C). Correlation of gonadal fat weight to T/S ratio in all males (D) and individual dietary groups (E). Testicular telomerase activity (F). Data are mean ± s.e.m. n = 8 males per dietary group. Data were analysed by one-way ANOVA followed by Bonferroni post-hoc test, or Kruskal–Wallis test with Dunns multiple comparison test where appropriate. Correlations were analysed using Pearsons correlation. **P < 0.01, ***P < 0.001.

Our final analyses examined the association of testicular telomere length (T/S ratio), apoptosis (TUNEL staining) and proliferation (Ki67 staining). We observed no association between TUNEL staining and levels of Ki67 staining when all males were analysed together (Fig. 6A). However, NPD males displayed a significant positive association (Fig. 6B; r = 0.83, P = 0.01) which was not present within either LPD or MD-LPD males. Analysis of the association between telomere length and Ki67 staining revealed no association, either when all males were analysed together or as separate diets. Finally, while a positive association was seen between TUNEL staining and telomere length when all males were analysed together (Fig. 6E; r = 0.4, P = 0.05), no association was observed when data for individual diets were analysed separately (Fig. 6F).

Figure 6.

Figure 6

Impact of NPD, LPD and MD-LPD on correlation between the percentage of Ki67 positive stained tubules to percentage of TUNEL positive tubules in all males (A) and individual dietary groups (B); correlation between the percentage of Ki67 positive stained tubules and T/S ratio in all males (C) and individual dietary groups (D) and correlation between percentage of TUNEL positive tubules and T/S ration in all males (E) and individual dietary groups (F). Data are mean ± s.e.m. n = 8 males per dietary group. Data were analysed by Pearsons correlation.

Discussion

There is increasing evidence that poor paternal diet at the time of conception impacts significantly on long-term offspring health. Underlying this association has been the development of a range of animal models which have supported detailed investigation into the mechanisms driving the paternal programming of offspring ill-health. In our current study, we observe that male mice fed either a low protein diet (LPD) or LPD supplemented with methyl-donors (MD-LPD) display significantly altered levels of serum fatty acids, testicular morphology, apoptosis, cellular proliferation and telomere length. However, these diets did not alter fundamental aspects of male reproductive fitness such as testosterone levels, litter size or late gestation fetal weight. These observations show the impact of sub-optimal paternal diet on male physiology and testicular morphology which may provide new insight into the mechanisms linking paternal diet with sperm quality and the programming of offspring ill-health.

Studies in rodents have shown that diets low in protein result in increased energy intake and energy expenditure associated with no change in fat mass (White et al. 2000, Aparecida de Franca et al. 2009, Laeger et al. 2014). However, diets deficient in methionine and/or cysteine have been shown to decrease food intake (Plaisance et al. 2010), increase energy expenditure (Wanders et al. 2015), have beneficial effects on glucose/insulin sensitivity and cardiac function and increase longevity in animal studies (Ables & Johnson 2017). In humans, a methionine restricted diet has also been shown to result in weight loss, decreased adiposity and improved insulin sensitivity (Plaisance et al. 2011). Furthermore, epidemiological studies have identified significant positive correlations between total plasma cysteine levels, fat mass and obesity (El-Khairy et al. 1999, Elshorbagy et al. 2008). Interestingly, studies have shown that, in fasted obese individuals, levels of serum folate are lower, while levels in red blood cells are higher than in non-obese people (Bird et al. 2015). These studies suggest that elevated levels of folate, methionine and/or cysteine, or an impairment in their metabolism, may associate with obesity, increased circulating lipid profiles and insulin insensitivity.

Underlying the physiological changes observed in our dietary manipulated males may be alterations in hepatic lipid metabolism and fatty acid synthesis. An untargeted analysis of serum fatty acids in our males revealed significant changes across a range of medium (6–12 carbon) and long (13–21 carbon) fatty acids. MD-LPD males displayed significantly higher levels of serum saturated fatty acids when compared to LPD males. However, levels of monounsaturated and polyunsaturated fatty acids, including the essential polyunsaturated omega-6 fatty acid linoleic acid (C18:2), were significantly lower in MD-LPD when compared to NPD and LPD males. In contrast, LPD males displayed a fatty acid profile opposite to that of MD-LPD males with significantly lower levels of the saturated capric acid, myristic acid, palmitic acid and heptadecanoic acid, and increased levels of stearic acid, arachidonic acid and lignoceric acid when compared to NPD and/or MD-LPD males. One possible explanation for the different fatty acid profiles of LPD and MD-LPD males is the selective tissue incorporation of individual fatty acid species into other tissues and/or their mobilisation from the liver. For instance, increased plasma stearic acid, arachidonic acid and lignoceric acid concentration could be, in part, the result of selective adaptation to hepatic fatty acid synthesis (Burdge et al. 1994), which may increase the availability of these fatty acids to other tissues including the testis. LPD males also displayed significantly elevated levels of arachidonic acid when compared to NPD males. Arachidonic acid is a precursor of the major classes of inflammatory and chemotactic lipids, eicosanoids (Sonnweber et al. 2018). Therefore, elevated levels within the serum may indicate underlying perturbations in hepatic metabolism (Bozza et al. 2011), enhanced inflammatory status (Dennis & Norris 2015) and/or even cardiovascular disease (Merched et al. 2008) in response to the LPD. However, further studies are needed to define the precise metabolic disturbances occurring in our mice and their underlying causes.

Interestingly, we observed that the largest differences in fatty acid profile occurred between LPD and MD-LPD fed males, suggesting supplementation with methyl donors, separate to the effects of the LPD, modified fatty acid profile. In rats, a 2% LPD has been shown to decrease levels of hepatic phospholipids while increasing levels of triacylglycerols, unesterified cholesterol, and cholesteryl esters (Meghelli-Bouchenak et al. 1989). Similarly, an 8% LPD resulted in glucose and insulin intolerance, increased serum adiponectin levels and lowered very low density lipoprotein (VLDL) levels in rats (Kang et al. 2011). In contrast, a high protein low carbohydrate diet fed to patients with non-alcoholic fatty liver disease (NAFLD) reduced fasting glucose levels, total low density lipoprotein (LDL), VLDL and triglycerides and increased high density lipoprotein (HDL) (Bezerra Duarte et al. 2014). Additionally, diets low in carbohydrate reduce triglyceride and HDL levels in humans (Hu et al. 2012), while in gerbils, a high carbohydrate diet results in histopathological and metabolic abnormalities characteristic of nonalcoholic steatohepatitis (NASH) (Semiane et al. 2017). Diets deficient in 1-carbon metabolites such as folate, methionine and choline have also been shown to impair lipid metabolism (Koteish & Diehl 2001, Henkel et al. 2012) resulting in reduced flux through the phosphatidylethanolamine N-methyltransferase (PEMT) pathway (Chew et al. 2011). Furthermore, significant increases in the expression of lipid biosynthesis genes such as elongation of very long chain fatty acids protein 2 (Elovl3), long-chain-fatty-acid-CoA ligase 1 (Acsl1) and ATP-citrate synthase (Acly) have been reported in folate deficient mice (Champier et al. 2012). Interestingly, excessive folate intake, in conjunction with high fat diet, also impairs hepatic fatty acid oxidation promoting hepatic lipid accumulation in rats (Burdge et al. 2009). These data suggest deficiencies and/or excesses in 1-carbon metabolites may reduce hepatic phospholipid biosynthesis (Walker et al. 2011), potentially through changes in the epigenetic regulation of hepatic function. Indeed, hypermethylation of the promoter for Fads2 in mice has been shown to result in increased levels of the unsaturated long-chain arachidonic and docosahexanoic acid (Devlin et al. 2007). In addition, other genes involved in fatty acid elongation, such as Elovl2, have been shown to be epigenetically regulated with age (Bacalini et al. 2017), identifying links between epigenetic status and metabolic health.

In LPD fed males, we also observed significant reductions in the levels of fatty acids with 17 carbons or less, but increased levels of fatty acids with 18 carbons or more. These observations might indicate altered flux through the fatty acid synthesis pathway in response to the LPD, with a shift from de novo lipogenesis to increased elongation of existing palmitic acid. Conversely, MD-LPD males showed a profile indicative of perturbed desaturation as evidenced by higher levels of saturated fatty acids. Indeed, LPD males displayed decreased levels of C17:0, while MD-LPD males displayed elevated levels. Recently, studies have shown negative associations between circulating levels of the odd chain fatty acids, pentadecanoic acid (C15:0) and heptadecanoic acid (C17:0), with metabolic disease risk (Jenkins et al. 2017b ). Here, increased intake of dairy products is associated with elevated C15:0 and C17:0, as rumen bacteria are believed to be the main producers of these odd chain fatty acids. However, in our study, the main source of fat was in the form of corn oil which contains a trace (0.1%) of C17:0. As such, the altered levels of serum C17:0 seen in the LPD and MD-LPD males is unlikely due to their diet. Studies in mice have shown that shown that C17:0 can be made endogenously through the action of 2-hydroxyacyl-CoA lyase 1 (Hacl1) and the alpha oxidation of phytanic acid (Jenkins et al. 2017a ). However, as we did not assess the levels of alpha-oxidation of phytanic acid or the activity of hepatic Hacl1 in our males, we cannot comment on the mechanisms underlying the differences in c17:0 observed in the LPD and MD-LPD males.

While no differences in the hepatic expression of Acyl-CoA desaturase 1 (Scd1), the fatty acid binding proteins 1 and 3 (Fabp1/3) or Acyl-CoA 6-desaturase (Fads2) were determined, we did observe significant decreases in the ratio of linoleic (C18:2) to arachidonic (C20:4) acid between NPD and LPD males, an indicator of increased activity of the desaturases Fads1/2 and/or elongase Elovl5. Furthermore, we observed an increased C18:0 to C18:1 ratio in MD-LPD when compared to NPD males, suggestive of decreased activity of the Acyl-CoA desaturase 2 (Scd2). In pigs, feeding of a low protein diet has been shown to elevate the expression of fatty acid desaturase 1 (FADS1) (Madeira et al. 2016), while in rats fed a high carbohydrate diet, increased hepatic expression of Fads2, Scd1/2 and Elovl5/6 were observed (Drag et al. 2017). While these observations may explain, in part, the differences in levels of saturated and unsaturated fatty acids observed between groups, further, more detailed mechanistic and epigenetic analyses would be required determine fully define the pathways regulating fatty acid profiles in in response to diet.

A second key finding of our study was that paternal diet impacted significantly on testicular morphology. LPD males displayed significantly increased mean seminiferous tubule size, while seminiferous tubule morphology in MD-LPD males was more similar to that of NPD males. Underlying changes in tubule morphology are a range of processes including inflammation (Loveland et al. 2017), oxidative damage (Turner & Lysiak 2008) hormone imbalance (Appasamy et al. 2007) and apoptosis (Theas 2018). As LPD males possessed fewer tubules with apoptotic cells and a trend toward increased rates of proliferation when compared to NPD males, we focused on the gene expression profiles of central pro and anti-apoptotic genes. Apoptosis is an integral part of the tightly regulated process of spermatogenesis, ensuring an appropriate number of germ cells per sertoli cell (Aitken et al. 2011). We observed no differences in gene expression patterns between NPD and LPD males. In contrast, MD-LPD testes displayed decreased expression of the pro-apoptotic genes Bax, Csap1 and Fas when compared to NPD males and a higher expression of the testis-specific chromatin gene Brdt. Treatment of mice with an anti-Fas neutralising antibody prevents testicular germ cell death (Lee et al. 1997). Conversely, androgen withdrawal in rats upregulates testicular germ cell apoptosis and the expression of Fas (Woolveridge et al. 1999). Similarly, the role of the Bcl-2 family, which includes Bad and Bax, have been well studied and shown to be involved in spontaneous apoptosis in normal human testes (Oldereid et al. 2001). Studies have shown that methionine restriction in mice can reduce rates of proliferation and increase the rates of apoptosis in mammary tumours (Hens et al. 2016). Conversely, choline and betaine supplementation have been shown to reduce cancer risk in humans (Sun et al. 2016), while in mice, maternal choline supplementation during gestation reduces rates of placental apoptosis (King et al. 2019). Interestingly, tubules from LPD males displayed a trend toward a higher proportion staining positive for the proliferation marker Ki67. Ki67 is recognised as an established marker of active cell division and widely used in analysis of testicular morphology and spermatogenic cell proliferation (Zhao et al. 2018). Therefore, our data indicate that the changes in tubule morphology observed in LPD males may be influenced more by increased rates of cellular proliferation as apposed to increased rates of cell loss. However, expression analysis of multiple seminiferous tubule cell-specific markers revealed comparable levels between NPD and LPD males, suggesting that significant changes (either gain or loss) in specific cell populations within the tubule may not be completely responsible for the changes in morphology observed. Further studies to explore other pathways known to regulate seminiferous tubule morphology (e.g. androgen signalling, inflammation) are required to define in detail the mechanisms linking paternal diet with testis morphology.

Interestingly, while we observed significant changes in testicular morphology, we did not observe any impairment in fundamental reproductive fitness in any of our males. These observations are in line with our previous studies showing no effect of LPD on testosterone levels, testis weight, sperm production, numbers of embryos collected or mean litter size (Watkins & Sinclair 2014, Watkins et al. 2017, 2018). These observations suggest that aspects of semen quality such as sperm morphology or motility are unaltered in response to the LPD or MD-LPD, in agreement with our previous observation that sperm from LPD males show no impairment in capacitation profile (Watkins et al. 2018). However, we cannot rule out that the LPD and MD-LPD may affect other aspects of sperm quality, such as epigenetic status, which were not assessed in detail in this study. Indeed, recent mouse studies showing alterations in specific sperm RNA populations can transit paternal phenotypic characteristics to subsequent generations (Chen et al. 2016, Zhang et al. 2018) support the hypothesis that conventional semen analysis may not reveal subtle change in sperm quality which can influence post-fertilisation development and offspring health. Therefore, more detailed epigenetic analysis of the sperm from LPD and MD-LPD males, as well as analysis of the seminal plasma (Morgan & Watkins 2019) is warranted. Furthermore, it would be of interest to examine the effect of a methyl donor-supplemented NPD on male reproductive fitness, as some studies report altered offspring cognitive function in response to paternal methyl donor-rich diets (Ryan et al. 2018).

Our final observation was that MD-LPD testes displayed an increased rate of telomerase activity which coincided with a reduced telomere length, as indicated by a significantly increased T/S ratio. In the mature mouse testis, the telomerase protein (Tert) has been shown to be expressed in spermatogonia, early spermatocytes and elongating spermatids but not in round spermatids or pachytene spermatocytes (Tanemura et al. 2005). Interestingly, analysis of telomere length across the different cells of the spermatogenic cycle has revealed elongating spermatids to have the longest length (Tanemura et al. 2005). However, in the human (Izadyar et al. 2011), mouse (Martin-Rivera et al. 1998) and rat (Ravindranath et al. 1997), the highest rates of telomerase activity have been reported in the spermatogonial stem cells. As such, the cells with the longest telomere length have the lowest levels of telomerase activity (Tanemura et al. 2005). As in the MD-LPD males, the apparent discrepancy between telomere length and telomerase activity may reflect an inability, or over compensation, of telomerase in the testicular germ cells to elongate premeiotic spermatocytes appropriately, resulting in shorter telomere lengths overall (Ozturk 2015).

We have previously shown that a paternal LPD impacts significantly on sperm epigenetic status, embryo development, fetal growth and adult cardiovascular and metabolic health (Watkins & Sinclair 2014, Watkins et al. 2017, 2018). Our current study demonstrates that underlying these changes may be significant changes in testicular morphology. In contrast, we observe that supplementation of the LPD with specific methyl donors results in a morphology more similar to that of the control diet fed males, changes which may have be driven by altered expression profiles of central regulators of apoptosis and cellular proliferation. However, our current study demonstrates that methyl-donor supplementation also alters serum fatty acid profiles significantly, increasing levels of harmful saturated fatty acids and decreasing beneficial unsaturated fatty acids. Therefore, it is essential that further studies are conducted to determine the precise impact of methyl-donor supplementation on sperm quality, fetal development and long-term offspring health. It would also be of significant interest to relate the serum fatty acid profiles of our males to profiles in the testes, sperm and seminal plasma. Such studies are necessary to define how the intake of such dietary supplements may affect male reproductive health and the health of his offspring.

Declaration of interest

The authors declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.

Funding

This work is supported by funding from the BBSRC (BB/R003556/1) to A J W. I A is supported by the Commonwealth Scholarship Commission, UK, under grant reference GHCS-2016-146.

Author contribution statement

H L M, I A, H R G and A J W performed conception and design of the experiments. H L M, I A, N E, C R, H R G and A J W collected and analysed the data. H L M, I A, N E, C R, H R G and A J W performed data interpretation. H L M, I A, H R G and A J W drafted the article. H L M, I A, H R G and A J W revised the article critically for intellectual content.

Acknowledgements

The authors would like to thank the staff of the University of Nottingham’s Biomedical Support Unit for animal provision and maintenance.

References

  1. Ables GP, Johnson JE. 2017. Pleiotropic responses to methionine restriction. Experimental Gerontology 94 83–88. ( 10.1016/j.exger.2017.01.012) [DOI] [PubMed] [Google Scholar]
  2. Aitken RJ, Findlay JK, Hutt KJ, Kerr JB. 2011. Apoptosis in the germ line. Reproduction 141 139–150. ( 10.1530/REP-10-0232) [DOI] [PubMed] [Google Scholar]
  3. Aparecida de Franca S, Dos Santos MP, Garofalo MA, Navegantes LC, Kettelhut Ido C, Lopes CF, Kawashita NH. 2009. Low protein diet changes the energetic balance and sympathetic activity in brown adipose tissue of growing rats. Nutrition 25 1186–1192. ( 10.1016/j.nut.2009.03.011) [DOI] [PubMed] [Google Scholar]
  4. Appasamy M, Muttukrishna S, Pizzey AR, Ozturk O, Groome NP, Serhal P, Jauniaux E. 2007. Relationship between male reproductive hormones, sperm DNA damage and markers of oxidative stress in infertility. Reproductive Biomedicine Online 14 159–165. ( 10.1016/s1472-6483(10)60783-3) [DOI] [PubMed] [Google Scholar]
  5. Asadi N, Bahmani M, Kheradmand A, Rafieian-Kopaei M. 2017. The impact of oxidative stress on testicular function and the role of antioxidants in improving it: a review. Journal of Clinical and Diagnostic Research 11 IE01–IE05. ( 10.7860/JCDR/2017/23927.9886) [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Bacalini MG, Deelen J, Pirazzini C, De Cecco M, Giuliani C, Lanzarini C, Ravaioli F, Marasco E, Van Heemst D, Suchiman HED. et al. 2017. Systemic age-associated DNA hypermethylation of ELOVL2 gene: in vivo and in vitro evidences of a cell replication process. Journals of Gerontology: Series A, Biological Sciences and Medical Sciences 72 1015–1023. ( 10.1093/gerona/glw185) [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Bakos HW, Henshaw RC, Mitchell M, Lane M. 2011. Paternal body mass index is associated with decreased blastocyst development and reduced live birth rates following assisted reproductive technology. Fertility and Sterility 95 1700–1704. ( 10.1016/j.fertnstert.2010.11.044) [DOI] [PubMed] [Google Scholar]
  8. Bezerra Duarte SM, Faintuch J, Stefano JT, Sobral De Oliveira MB, De Campos Mazo DF, Rabelo F, Vanni D, Nogueira MA, Carrilho FJ, Marques Souza De Oliveira CP. 2014. Hypocaloric high-protein diet improves clinical and biochemical markers in patients with nonalcoholic fatty liver disease (NAFLD). Nutricion Hospitalaria 29 94–101. ( 10.3305/nh.2014.29.1.7068) [DOI] [PubMed] [Google Scholar]
  9. Bird JK, Ronnenberg AG, Choi SW, Du F, Mason JB, Liu Z. 2015. Obesity is associated with increased red blood cell folate despite lower dietary intakes and serum concentrations. Journal of Nutrition 145 79–86. ( 10.3945/jn.114.199117) [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Bozza PT, Bakker-Abreu I, Navarro-Xavier RA, Bandeira-Melo C. 2011. Lipid body function in eicosanoid synthesis: an update. Prostaglandins, Leukotrienes, and Essential Fatty Acids 85 205–213. ( 10.1016/j.plefa.2011.04.020) [DOI] [PubMed] [Google Scholar]
  11. Burdge GC, Hunt AN, Postle AD. 1994. Mechanisms of hepatic phosphatidylcholine synthesis in adult rat: effects of pregnancy. Biochemical Journal 303 941–947. ( 10.1042/bj3030941) [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Burdge GC, Lillycrop KA, Phillips ES, Slater-Jefferies JL, Jackson AA, Hanson MA. 2009. Folic acid supplementation during the juvenile-pubertal period in rats modifies the phenotype and epigenotype induced by prenatal nutrition. Journal of Nutrition 139 1054–1060. ( 10.3945/jn.109.104653) [DOI] [PubMed] [Google Scholar]
  13. Campos-Silva P, Furriel A, Costa WS, Sampaio FJ, Gregorio BM. 2015. Metabolic and testicular effects of the long-term administration of different high-fat diets in adult rats. International Brazilian Journal of Urology 41 569–575. ( 10.1590/S1677-5538.IBJU.2014.0244) [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Champier J, Claustrat F, Nazaret N, Fevre Montange M, Claustrat B. 2012. Folate depletion changes gene expression of fatty acid metabolism, DNA synthesis, and circadian cycle in male mice. Nutrition Research 32 124–132. ( 10.1016/j.nutres.2011.12.012) [DOI] [PubMed] [Google Scholar]
  15. Chen Q, Yan M, Cao Z, Li X, Zhang Y, Shi J, Feng GH, Peng H, Zhang X, Zhang Y. et al. 2016. Sperm tsRNAs contribute to intergenerational inheritance of an acquired metabolic disorder. Science 351 397–400. ( 10.1126/science.aad7977) [DOI] [PubMed] [Google Scholar]
  16. Chew TW, Jiang X, Yan J, Wang W, Lusa AL, Carrier BJ, West AA, Malysheva OV, Brenna JT, Gregory JF. et al. 2011. Folate intake, MTHFR genotype, and sex modulate choline metabolism in mice. Journal of Nutrition 141 1475–1481. ( 10.3945/jn.111.138859) [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Colaci DS, Afeiche M, Gaskins AJ, Wright DL, Toth TL, Tanrikut C, Hauser R, Chavarro JE. 2012. Men’s body mass index in relation to embryo quality and clinical outcomes in couples undergoing in vitro fertilization. Fertility and Sterility 98 1193.e1–1199.e1. ( 10.1016/j.fertnstert.2012.07.1102) [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Congras A, Yerle-Bouissou M, Pinton A, Vignoles F, Liaubet L, Ferchaud S, Acloque H. 2014. Sperm DNA methylation analysis in swine reveals conserved and species-specific methylation patterns and highlights an altered methylation at the GNAS locus in infertile boars. Biology of Reproduction 91 137. ( 10.1095/biolreprod.114.119610) [DOI] [PubMed] [Google Scholar]
  19. Crean AJ, Senior AM. 2019. High-fat diets reduce male reproductive success in animal models: a systematic review and meta-analysis. Obesity Reviews 20 921–933. ( 10.1111/obr.12827) [DOI] [PubMed] [Google Scholar]
  20. Dennis EA, Norris PC. 2015. Eicosanoid storm in infection and inflammation. Nature Reviews: Immunology 15 511–523. ( 10.1038/nri3859) [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Devlin AM, Singh R, Wade RE, Innis SM, Bottiglieri T, Lentz SR. 2007. Hypermethylation of Fads2 and altered hepatic fatty acid and phospholipid metabolism in mice with hyperhomocysteinemia. Journal of Biological Chemistry 282 37082–37090. ( 10.1074/jbc.M704256200) [DOI] [PubMed] [Google Scholar]
  22. Drag J, Gozdzialska A, Knapik-Czajka M, Gawedzka A, Gawlik K, Jaskiewicz J. 2017. Effect of high carbohydrate diet on elongase and desaturase activity and accompanying gene expression in rat’s liver. Genes and Nutrition 12 2. ( 10.1186/s12263-017-0551-9) [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Ducker GS, Rabinowitz JD. 2017. One-carbon metabolism in health and disease. Cell Metabolism 25 27–42. ( 10.1016/j.cmet.2016.08.009) [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. El-Khairy L, Ueland PM, Nygard O, Refsum H, Vollset SE. 1999. Lifestyle and cardiovascular disease risk factors as determinants of total cysteine in plasma: the Hordaland Homocysteine Study. American Journal of Clinical Nutrition 70 1016–1024. ( 10.1093/ajcn/70.6.1016) [DOI] [PubMed] [Google Scholar]
  25. Elshorbagy AK, Nurk E, Gjesdal CG, Tell GS, Ueland PM, Nygard O, Tverdal A, Vollset SE, Refsum H. 2008. Homocysteine, cysteine, and body composition in the Hordaland Homocysteine Study: does cysteine link amino acid and lipid metabolism? American Journal of Clinical Nutrition 88 738–746. ( 10.1093/ajcn/88.3.738) [DOI] [PubMed] [Google Scholar]
  26. Fan Y, Liu Y, Xue K, Gu G, Fan W, Xu Y, Ding Z. 2015. Diet-induced obesity in male C57BL/6 mice decreases fertility as a consequence of disrupted blood-testis barrier. PLoS ONE 10 e0120775. ( 10.1371/journal.pone.0120775) [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Ghosh S, Mukherjee S. 2018. Testicular germ cell apoptosis and sperm defects in mice upon long-term high fat diet feeding. Journal of Cellular Physiology 233 6896–6909. ( 10.1002/jcp.26581) [DOI] [PubMed] [Google Scholar]
  28. Hagiuda J, Ishikawa H, Furuuchi T, Hanawa Y, Marumo K. 2014. Relationship between dyslipidaemia and semen quality and serum sex hormone levels: an infertility study of 167 Japanese patients. Andrologia 46 131–135. ( 10.1111/and.12057) [DOI] [PubMed] [Google Scholar]
  29. Henkel AS, Dewey AM, Anderson KA, Olivares S, Green RM. 2012. Reducing endoplasmic reticulum stress does not improve steatohepatitis in mice fed a methionine- and choline-deficient diet. American Journal of Physiology: Gastrointestinal and Liver Physiology 303 G54–G59. ( 10.1152/ajpgi.00052.2012) [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Hens JR, Sinha I, Perodin F, Cooper T, Sinha R, Plummer J, Perrone CE, Orentreich D. 2016. Methionine-restricted diet inhibits growth of MCF10AT1-derived mammary tumors by increasing cell cycle inhibitors in athymic nude mice. BMC Cancer 16 349. ( 10.1186/s12885-016-2367-1) [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Hu T, Mills KT, Yao L, Demanelis K, Eloustaz M, Yancy WS, Kelly TN, He J, Bazzano LA. 2012. Effects of low-carbohydrate diets versus low-fat diets on metabolic risk factors: a meta-analysis of randomized controlled clinical trials. American Journal of Epidemiology 176 (Supplement 7) S44–S54. ( 10.1093/aje/kws264) [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Ichihara K, Fukubayashi Y. 2010. Preparation of fatty acid methyl esters for gas-liquid chromatography. Journal of Lipid Research 51 635–640. ( 10.1194/jlr.D001065) [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Irani M, Amirian M, Sadeghi R, Lez JL, Latifnejad Roudsari R. 2017. The effect of folate and folate plus zinc supplementation on endocrine parameters and sperm characteristics in sub-fertile men: a systematic review and meta-analysis. Urology Journal 14 4069–4078. [PubMed] [Google Scholar]
  34. Izadyar F, Wong J, Maki C, Pacchiarotti J, Ramos T, Howerton K, Yuen C, Greilach S, Zhao HH, Chow M. et al. 2011. Identification and characterization of repopulating spermatogonial stem cells from the adult human testis. Human Reproduction 26 1296–1306. ( 10.1093/humrep/der026) [DOI] [PubMed] [Google Scholar]
  35. Jenkins B, De Schryver E, Van Veldhoven PP, Koulman A. 2017a. Peroxisomal 2-hydroxyacyl-CoA lyase is involved in endogenous biosynthesis of heptadecanoic acid. Molecules 22 1718. ( 10.3390/molecules22101718) [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Jenkins BJ, Seyssel K, Chiu S, Pan PH, Lin SY, Stanley E, Ament Z, West JA, Summerhill K, Griffin JL. et al. 2017b. Odd chain fatty acids; new insights of the relationship Between the gut microbiota, dietary intake, biosynthesis and glucose intolerance. Scientific Reports 7 44845. ( 10.1038/srep44845) [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Jensen TK, Andersson AM, Jorgensen N, Andersen AG, Carlsen E, Petersen JH, Skakkebaek NE. 2004. Body mass index in relation to semen quality and reproductive hormones among 1,558 Danish men. Fertility and Sterility 82 863–870. ( 10.1016/j.fertnstert.2004.03.056) [DOI] [PubMed] [Google Scholar]
  38. Jia YF, Feng Q, Ge ZY, Guo Y, Zhou F, Zhang KS, Wang XW, Lu WH, Liang XW, Gu YQ. 2018. Obesity impairs male fertility through long-term effects on spermatogenesis. BMC Urology 18 42. ( 10.1186/s12894-018-0360-5) [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Kang W, Lee MS, Baik M. 2011. Dietary protein restriction alters lipid metabolism and insulin sensitivity in rats. Asian-Australasian Journal of Animal Sciences 24 1274–1281. ( 10.5713/ajas.2011.10430) [DOI] [Google Scholar]
  40. Khorrami A, Ghanbarzadeh S, Ziaee M, Arami S, Vajdi R, Garjani A. 2015. Dietary cholesterol and oxidised cholesterol: effects on sperm characteristics, antioxidant status and hormonal profile in rats. Andrologia 47 310–317. ( 10.1111/and.12262) [DOI] [PubMed] [Google Scholar]
  41. King JH, Kwan STC, Yan J, Jiang X, Fomin VG, Levine SP, Wei E, Roberson MS, Caudill MA. 2019. Maternal choline supplementation modulates placental markers of inflammation, angiogenesis, and apoptosis in a mouse model of placental insufficiency. Nutrients 11 374. ( 10.3390/nu11020374) [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Koteish A, Diehl AM. 2001. Animal models of steatosis. Seminars in Liver Disease 21 89–104. ( 10.1055/s-2001-12932) [DOI] [PubMed] [Google Scholar]
  43. Kropp J, Carrillo JA, Namous H, Daniels A, Salih SM, Song J, Khatib H. 2017. Male fertility status is associated with DNA methylation signatures in sperm and transcriptomic profiles of bovine preimplantation embryos. BMC Genomics 18 280. ( 10.1186/s12864-017-3673-y) [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Laeger T, Henagan TM, Albarado DC, Redman LM, Bray GA, Noland RC, Munzberg H, Hutson SM, Gettys TW, Schwartz MW. et al. 2014. FGF21 is an endocrine signal of protein restriction. Journal of Clinical Investigation 124 3913–3922. ( 10.1172/JCI74915) [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Lee J, Richburg JH, Younkin SC, Boekelheide K. 1997. The Fas system is a key regulator of germ cell apoptosis in the testis. Endocrinology 138 2081–2088. ( 10.1210/endo.138.5.5110) [DOI] [PubMed] [Google Scholar]
  46. Levine H, Jorgensen N, Martino-Andrade A, Mendiola J, Weksler-Derri D, Mindlis I, Pinotti R, Swan SH. 2017. Temporal trends in sperm count: a systematic review and meta-regression analysis. Human Reproduction Update 23 646–659. ( 10.1093/humupd/dmx022) [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Liu Y, Ding Z. 2017. Obesity, a serious etiologic factor for male subfertility in modern society. Reproduction 154 R123–R131. ( 10.1530/REP-17-0161) [DOI] [PubMed] [Google Scholar]
  48. Louie K, Minor A, Ng R, Poon K, Chow V, Ma S. 2016. Evaluation of DNA methylation at imprinted DMRs in the spermatozoa of oligozoospermic men in association with MTHFR C677T genotype. Andrology 4 825–831. ( 10.1111/andr.12240) [DOI] [PubMed] [Google Scholar]
  49. Loveland KL, Klein B, Pueschl D, Indumathy S, Bergmann M, Loveland BE, Hedger MP, Schuppe HC. 2017. Cytokines in male fertility and reproductive pathologies: immunoregulation and beyond. Frontiers in Endocrinology 8 307. ( 10.3389/fendo.2017.00307) [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Lu X, Huang Y, Zhang H, Zhao J. 2017. Effect of diabetes mellitus on the quality and cytokine content of human semen. Journal of Reproductive Immunology 123 1–2. ( 10.1016/j.jri.2017.08.007) [DOI] [PubMed] [Google Scholar]
  51. Lucas ES, Watkins AJ, Cox AL, Marfy-Smith SJ, Smyth N, Fleming TP. 2011. Tissue-specific selection of reference genes is required for expression studies in the mouse model of maternal protein undernutrition. Theriogenology 76 558–569. ( 10.1016/j.theriogenology.2011.03.008) [DOI] [PubMed] [Google Scholar]
  52. Lumeng CN, Saltiel AR. 2011. Inflammatory links between obesity and metabolic disease. Journal of Clinical Investigation 121 2111–2117. ( 10.1172/JCI57132) [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Madeira MS, Pires VM, Alfaia CM, Lopes PA, Martins SV, Pinto RM, Prates JA. 2016. Restriction of dietary protein does not promote hepatic lipogenesis in lean or fatty pigs. British Journal of Nutrition 115 1339–1351. ( 10.1017/S0007114516000453) [DOI] [PubMed] [Google Scholar]
  54. Martin-Rivera L, Herrera E, Albar JP, Blasco MA. 1998. Expression of mouse telomerase catalytic subunit in embryos and adult tissues. PNAS 95 10471–10476. ( 10.1073/pnas.95.18.10471) [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Meghelli-Bouchenak M, Belleville J, Boquillon M. 1989. Hepatic steatosis and serum very low density lipoproteins during two types of protein malnutrition followed by balanced refeeding. Nutrition 5 321–329. [PubMed] [Google Scholar]
  56. Merched AJ, Ko K, Gotlinger KH, Serhan CN, Chan L. 2008. Atherosclerosis: evidence for impairment of resolution of vascular inflammation governed by specific lipid mediators. FASEB Journal 22 3595–3606. ( 10.1096/fj.08-112201) [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Mitchell M, Bakos HW, Lane M. 2011. Paternal diet-induced obesity impairs embryo development and implantation in the mouse. Fertility and Sterility 95 1349–1353. ( 10.1016/j.fertnstert.2010.09.038) [DOI] [PubMed] [Google Scholar]
  58. Morgan HL, Watkins AJ. 2019. The influence of seminal plasma on offspring development and health. Seminars in Cell and Developmental Biology 97 131–137. ( 10.1016/j.semcdb.2019.06.008) [DOI] [PubMed] [Google Scholar]
  59. Oldereid NB, Angelis PD, Wiger R, Clausen OP. 2001. Expression of Bcl-2 family proteins and spontaneous apoptosis in normal human testis. Molecular Human Reproduction 7 403–408. ( 10.1093/molehr/7.5.403) [DOI] [PubMed] [Google Scholar]
  60. Oliveira PF, Sousa M, Silva BM, Monteiro MP, Alves MG. 2017. Obesity, energy balance and spermatogenesis. Reproduction 153 R173–R185. ( 10.1530/REP-17-0018) [DOI] [PubMed] [Google Scholar]
  61. Ozturk S. 2015. Telomerase activity and telomere length in male germ cells. Biology of Reproduction 92 53. ( 10.1095/biolreprod.114.124008) [DOI] [PubMed] [Google Scholar]
  62. Plaisance EP, Henagan TM, Echlin H, Boudreau A, Hill KL, Lenard NR, Hasek BE, Orentreich N, Gettys TW. 2010. Role of beta-adrenergic receptors in the hyperphagic and hypermetabolic responses to dietary methionine restriction. American Journal of Physiology: Regulatory, Integrative and Comparative Physiology 299 R740–R750. ( 10.1152/ajpregu.00838.2009) [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Plaisance EP, Greenway FL, Boudreau A, Hill KL, Johnson WD, Krajcik RA, Perrone CE, Orentreich N, Cefalu WT, Gettys TW. 2011. Dietary methionine restriction increases fat oxidation in obese adults with metabolic syndrome. Journal of Clinical Endocrinology and Metabolism 96 E836–E840. ( 10.1210/jc.2010-2493) [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Ranganathan P, Rao KA, Thalaivarasai Balasundaram S. 2019. Deterioration of semen quality and sperm-DNA integrity as influenced by cigarette smoking in fertile and infertile human male smokers – a prospective study. Journal of Cellular Biochemistry In press. ( 10.1002/jcb.28458) [DOI] [PubMed] [Google Scholar]
  65. Ravindranath N, Dalal R, Solomon B, Djakiew D, Dym M. 1997. Loss of telomerase activity during male germ cell differentiation. Endocrinology 138 4026–4029. ( 10.1210/endo.138.9.5488) [DOI] [PubMed] [Google Scholar]
  66. Rulli SB, Ahtiainen P, Makela S, Toppari J, Poutanen M, Huhtaniemi I. 2003. Elevated steroidogenesis, defective reproductive organs, and infertility in transgenic male mice overexpressing human chorionic gonadotropin. Endocrinology 144 4980–4990. ( 10.1210/en.2003-0403) [DOI] [PubMed] [Google Scholar]
  67. Ryan DP, Henzel KS, Pearson BL, Siwek ME, Papazoglou A, Guo L, Paesler K, Yu M, Muller R, Xie K. et al. 2018. A paternal methyl donor-rich diet altered cognitive and neural functions in offspring mice. Molecular Psychiatry 23 1345–1355. ( 10.1038/mp.2017.53) [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Saponaro C, Gaggini M, Carli F, Gastaldelli A. 2015. The subtle balance between lipolysis and lipogenesis: a critical point in metabolic homeostasis. Nutrients 7 9453–9474. ( 10.3390/nu7115475) [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Schisterman EF, Mumford SL, Chen Z, Browne RW, Boyd Barr D, Kim S, Buck Louis GM. 2014. Lipid concentrations and semen quality: the LIFE study. Andrology 2 408–415. ( 10.1111/j.2047-2927.2014.00198.x) [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Semiane N, Foufelle F, Ferre P, Hainault I, Ameddah S, Mallek A, Khalkhal A, Dahmani Y. 2017. High carbohydrate diet induces nonalcoholic steato-hepatitis (NASH) in a desert gerbil. Comptes Rendus Biologies 340 25–36. ( 10.1016/j.crvi.2016.09.002) [DOI] [PubMed] [Google Scholar]
  71. Simon L, Funes AK, Monclus MA, Colombo R, Cabrillana ME, Saez Lancellotti TE, Fornes MW. 2018. Manchette-acrosome disorders and testicular efficiency decline observed in hypercholesterolemic rabbits are recovered with olive oil enriched diet. PLoS ONE 13 e0202748. ( 10.1371/journal.pone.0202748) [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Singh K, Jaiswal D. 2013. One-carbon metabolism, spermatogenesis, and male infertility. Reproductive Sciences 20 622–630. ( 10.1177/1933719112459232) [DOI] [PubMed] [Google Scholar]
  73. Song Y, Yang L. 2018. Transgenerational impaired spermatogenesis with sperm H19 and Gtl2 hypomethylation induced by the endocrine disruptor p,p′-DDE. Toxicology Letters 297 34–41. ( 10.1016/j.toxlet.2018.08.015) [DOI] [PubMed] [Google Scholar]
  74. Sonnweber T, Pizzini A, Nairz M, Weiss G, Tancevski I. 2018. Arachidonic acid metabolites in cardiovascular and metabolic diseases. International Journal of Molecular Sciences 19 E3285. ( 10.3390/ijms19113285) [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Stinkens R, Goossens GH, Jocken JW, Blaak EE. 2015. Targeting fatty acid metabolism to improve glucose metabolism. Obesity Reviews 16 715–757. ( 10.1111/obr.12298) [DOI] [PubMed] [Google Scholar]
  76. Sujit KM, Sarkar S, Singh V, Pandey R, Agrawal NK, Trivedi S, Singh K, Gupta G, Rajender S. 2018. Genome-wide differential methylation analyses identifies methylation signatures of male infertility. Human Reproduction 33 2256–2267. ( 10.1093/humrep/dey319) [DOI] [PubMed] [Google Scholar]
  77. Sun S, Li X, Ren A, Du M, Du H, Shu Y, Zhu L, Wang W. 2016. Choline and betaine consumption lowers cancer risk: a meta-analysis of epidemiologic studies. Scientific Reports 6 35547. ( 10.1038/srep35547) [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Szendroedi J, Roden M. 2009. Ectopic lipids and organ function. Current Opinion in Lipidology 20 50–56. ( 10.1097/mol.0b013e328321b3a8) [DOI] [PubMed] [Google Scholar]
  79. Tanemura K, Ogura A, Cheong C, Gotoh H, Matsumoto K, Sato E, Hayashi Y, Lee HW, Kondo T. 2005. Dynamic rearrangement of telomeres during spermatogenesis in mice. Developmental Biology 281 196–207. ( 10.1016/j.ydbio.2005.02.025) [DOI] [PubMed] [Google Scholar]
  80. Theas MS. 2018. Germ cell apoptosis and survival in testicular inflammation. Andrologia 50 e13083. ( 10.1111/and.13083) [DOI] [PubMed] [Google Scholar]
  81. Turner TT, Lysiak JJ. 2008. Oxidative stress: a common factor in testicular dysfunction. Journal of Andrology 29 488–498. ( 10.2164/jandrol.108.005132) [DOI] [PubMed] [Google Scholar]
  82. Walker AK, Jacobs RL, Watts JL, Rottiers V, Jiang K, Finnegan DM, Shioda T, Hansen M, Yang F, Niebergall LJ. et al. 2011. A conserved SREBP-1/phosphatidylcholine feedback circuit regulates lipogenesis in metazoans. Cell 147 840–852. ( 10.1016/j.cell.2011.09.045) [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Wanders D, Burk DH, Cortez CC, Van NT, Stone KP, Baker M, Mendoza T, Mynatt RL, Gettys TW. 2015. UCP1 is an essential mediator of the effects of methionine restriction on energy balance but not insulin sensitivity. FASEB Journal 29 2603–2615. ( 10.1096/fj.14-270348) [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Watkins AJ, Sinclair KD. 2014. Paternal low protein diet affects adult offspring cardiovascular and metabolic function in mice. American Journal of Physiology: Heart and Circulatory Physiology 306 H1444–H1452. ( 10.1152/ajpheart.00981.2013) [DOI] [PubMed] [Google Scholar]
  85. Watkins AJ, Sirovica S, Stokes B, Isaacs M, Addison O, Martin RA. 2017. Paternal low protein diet programs preimplantation embryo gene expression, fetal growth and skeletal development in mice. Biochimica et Biophysica Acta: Molecular Basis of Disease 1863 1371–1381. ( 10.1016/j.bbadis.2017.02.009) [DOI] [PubMed] [Google Scholar]
  86. Watkins AJ, Dias I, Tsuro H, Allen D, Emes RD, Moreton J, Wilson R, Ingram RJM, Sinclair KD. 2018. Paternal diet programs offspring health through sperm- and seminal plasma-specific pathways in mice. PNAS 115 10064–10069. ( 10.1073/pnas.1806333115) [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. White BD, Porter MH, Martin RJ. 2000. Protein selection, food intake, and body composition in response to the amount of dietary protein. Physiology and Behavior 69 383–389. ( 10.1016/s0031-9384(99)00232-2) [DOI] [PubMed] [Google Scholar]
  88. Whitfield M, Pollet-Villard X, Levy R, Drevet JR, Saez F. 2015. Posttesticular sperm maturation, infertility, and hypercholesterolemia. Asian Journal of Andrology 17 742–748. ( 10.4103/1008-682X.155536) [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Woolveridge I, De Boer-Brouwer M, Taylor MF, Teerds KJ, Wu FC, Morris ID. 1999. Apoptosis in the rat spermatogenic epithelium following androgen withdrawal: changes in apoptosis-related genes. Biology of Reproduction 60 461–470. ( 10.1095/biolreprod60.2.461) [DOI] [PubMed] [Google Scholar]
  90. Zhang Y, Zhang X, Shi J, Tuorto F, Li X, Liu Y, Liebers R, Zhang L, Qu Y, Qian J. et al. 2018. Dnmt2 mediates intergenerational transmission of paternally acquired metabolic disorders through sperm small non-coding RNAs. Nature Cell Biology 20 535–540. ( 10.1038/s41556-018-0087-2) [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Zhao WP, Wang HW, Liu J, Tan PP, Luo XL, Zhu SQ, Chen XL, Zhou BH. 2018. Positive PCNA and Ki-67 expression in the testis correlates with spermatogenesis dysfunction in fluoride-treated rats. Biological Trace Element Research 186 489–497. ( 10.1007/s12011-018-1338-6) [DOI] [PubMed] [Google Scholar]

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