Abstract
Key points
Exposure to chronic hypoxia during gestation influences long‐term health and development, including reproductive capacity, across generations.
If the peri‐conceptual environment in the developing oviduct is affected by gestational hypoxia, then this could have implications for later fertility and the health of future generations.
In the present study, we show that the oviducts of female rats exposed to chronic hypoxia in utero have reduced telomere length, decreased mitochondrial DNA biogenesis and increased oxidative stress
The results of the present study show that exposure to chronic gestational hypoxia leads to accelerated ageing of the oviduct in early adulthood and they help us understand how exposure to hypoxia during development could influence reproductive health across generations.
Abstract
Exposure to chronic hypoxia during fetal development has important effects on immediate and long‐term outcomes in offspring. Adverse impacts in adult offspring include impairment of cardiovascular function, metabolic derangement and accelerated ovarian ageing. However, it is not known whether other aspects of the female reproductive system may be similarly affected. In the present study, we examined the impact of chronic gestational hypoxia on the developing oviduct. Wistar rat dams were randomized to either normoxia (21%) or hypoxia (13%) from day 6 post‐mating until delivery. Post‐delivery female offspring were maintained in normoxia until 4 months of age. Oviductal gene expression was assayed at the RNA (quantitative RT‐PCR) and protein (western blotting) levels. Oviductal telomere length was assayed using Southern blotting. Oviductal telomere length was reduced in the gestational hypoxia‐exposed animals compared to normoxic controls (P < 0.01). This was associated with a specific post‐transcriptional reduction in the KU70 subunit of DNA‐pk in the gestational hypoxia‐exposed group (P < 0.05). Gestational hypoxia‐exposed oviducts also showed evidence of decreased mitochondrial DNA biogenesis, reduced mtDNA copy number (P < 0.05) and reduced gene expression of Tfam (P < 0.05) and Pgc1α (P < 0.05). In the hypoxia‐exposed oviducts, there was upregulation of mitochondrial‐specific anti‐oxidant defence enzymes (MnSOD; P < 0.01). Exposure to chronic gestational hypoxia leads to accelerated ageing of the oviduct in adulthood. The oviduct plays a central role in early development as the site of gamete transport, syngamy, and early development; hence, accelerated ageing of the oviductal environment could have important implications for fertility and the health of future generations.
Keywords: Developmental programming, oviducts, hypoxia, infertility, reproductive ageing
Key points
Exposure to chronic hypoxia during gestation influences long‐term health and development, including reproductive capacity, across generations.
If the peri‐conceptual environment in the developing oviduct is affected by gestational hypoxia, then this could have implications for later fertility and the health of future generations.
In the present study, we show that the oviducts of female rats exposed to chronic hypoxia in utero have reduced telomere length, decreased mitochondrial DNA biogenesis and increased oxidative stress
The results of the present study show that exposure to chronic gestational hypoxia leads to accelerated ageing of the oviduct in early adulthood and they help us understand how exposure to hypoxia during development could influence reproductive health across generations.
Introduction
Many human fetuses are exposed to chronic gestational hypoxia, either via factors intrinsic to the pregnancy, such as impaired utero–placental blood flow (Kuzmina et al. 2005), or via factors arising from the maternal environment, such as pregnancy at high altitude (Ducsay, 1998; Postigo et al. 2009; Giussani et al. 2016). The immediate effects of gestational hypoxia have been characterized in both human pregnancies and animal models, and include adverse outcomes such as intrauterine growth restriction, low birth weight and stillbirth (Giussani et al. 2001; Keyes et al. 2003; Richter et al. 2012; Gonzalez‐Candia et al. 2016). The long‐term outcomes for the adult offspring of chronic gestational hypoxia are generally less well understood, although some aspects, such as the increased risk of later cardiovascular dysfunction, have been well described in animal models (Giussani et al. 2012; Giussani & Davidge, 2013). Furthermore, there is evidence from animal models that exposure to chronic gestational hypoxia can adversely impact brain development (Phillips et al. 2017), renal ageing (Gonzalez‐Rodriguez et al. 2013) and insulin resistance (Camm et al. 2011).
The link between exposure to various suboptimal intrauterine environments and subsequent impairment of reproductive function has been demonstrated in a number of animal models (Aiken et al. 2013; Aiken et al. 2016). These studies have mainly been performed in rodents and have focused primarily on alterations to maternal diet (Chan et al. 2015b). It has been shown that accelerated ageing of the somatic ovarian tissue, with a concomitant decrease in ovarian reserve in early‐mid reproductive life, is a consequence of a maternal low protein diet (Aiken et al. 2013), an obesogenic maternal diet (Aiken et al. 2016) and maternal caloric restriction (Bernal et al. 2010) in various rodent models.
The primary outcome of most studies that have demonstrated a link between the early life environment and impairment of female fertility has been ovarian reserve (Chan et al. 2015b; Ho et al. 2017). As a key determinant of future reproductive potential (Depmann et al. 2015; Pelosi et al. 2015), ovarian reserve is a useful and specific marker of fertility potential, although reproduction depends on a wide range of factors beyond the availability of gametes. In the female, successful pregnancy depends not only on a viable oocyte, but also on a suitable reproductive tract environment. The oviduct has several vital roles in successful reproduction, including gamete transport (Wang & Larina, 2018), syngamy (Parada‐Bustamante et al. 2016) and early embryonic development (Robertson et al. 2015). Oviductal problems are a major cause of infertility in human populations, accounting for ∼25–35% of all female infertility (Practice Committee of the American Society for Reproductive, 2015). Such problems can range from complete blockage of the oviduct, which impairs gamete transport and prevents conception, to subclinical oviductal damage, such as via smoking, which alters the tubal epithelium and increases the risk of ectopic pregnancy (Horne et al. 2014; Nio‐Kobayashi et al. 2016). Impact on the oviductal environment of the adult offspring is thus an important consideration with respect to investigating the effect of developmental programming on female reproductive potential.
A limited number of studies have previously reported on the impact of an adverse intrauterine environment on the developing oviduct. Wister rat offspring exposed to a maternal low‐protein diet during gestation, followed by postnatal catch‐up growth, showed evidence of reduced telomere length and increased oxidative stress in the oviduct in early adulthood (Aiken et al. 2013). We hypothesize that exposure to chronic gestational hypoxia may also adversely affect the oviduct, and hence the peri‐conceptual environment, in a similar way.
Using an established model of hypoxic pregnancy in rats, we investigated the impact of exposure to a 40% reduction in environmental oxygen (13% vs. 21% ambient oxygen from day 6 of pregnancy) on the oviduct of the adult female offspring. A reduction in the environmental oxygen tension by 40% reflects the difference in oxygen availability between pregnancies occurring at sea level compared to 3500–4000 m a.s.l. (Postigo et al. 2009). Hence, our rat model of gestational hypoxia is highly relevant to human pregnancy at these altitudes, where it is estimated that ∼40,000 babies are born each year in Bolivia alone (Roost et al. 2009). The present study therefore aimed to evaluate whether there is evidence of accelerated ageing in the oviducts of young adult female rats exposed to chronic gestational hypoxia.
Methods
Ethical approval
All animal experiments were approved by the University of Cambridge Animal Welfare and Ethical Review Board (reference no. PC6CEFE59). All animal experiments were conducted in accordance with the British Animals (Scientific Procedures) Act (1986) and were compliant with EU Directive 2010/63/EU. Animals were killed by CO2 inhalation and cervical dislocation.
Study design
Wistar rat dams at 10–12 weeks of age (Charles River Ltd, Margate, UK; wild‐type RRID: RGD_13508588) were housed in individually ventilated cages (21% oxygen, 70–80 air changes h–1) under standard conditions, with a regular 12:12 h light/dark cycle. All animals were fed a standard laboratory chow diet (20% protein) and fed ad libitum with free access to water. After initial acclimatization (10 days), they were mated with fertile male Wistar rats, and pregnancy was confirmed via observation of a vaginal plug. The day of the plug was designated as day 0 of pregnancy (full term 21–22 days). Upon confirmation of pregnancy, dams were weighed and housed individually. On day 6 of pregnancy, dams were randomly divided into two groups: control (21%) and hypoxic (13%) pregnancy (n = 8 per group). Pregnant rats assigned to the hypoxia group were placed inside a chamber that could hold nine rat cages, which combined a polyvinyl chloride isolator with a nitrogen generator, as described previously (Giussani et al. 2012; Herrera et al. 2012). The hypoxia model did not alter maternal food intake or gestational length. Pregnancies undergoing hypoxia were maintained at a constant inspired fraction of oxygen of 13% from days 6 to 20 of gestation. All dams delivered under normoxic conditions, and normoxia (21%) was maintained for all animals during lactation, weaning and thereafter. Following determination of birth weight, litters were culled to four males and four females to standardize nutritional access and maternal care (Herrera et al. 2012). All pups were suckled by their own mothers. At 4 months of age, adult female pups were killed by CO2 inhalation and cervical dislocation. At postmortem, the reproductive tract tissues were harvested immediately after dissection. The oviducts were snap‐frozen in liquid nitrogen until used for analysis. No sample was refrozen after the initial thaw.
Telomere length analysis
High‐molecular weight DNA was extracted using the DNeasy Blood and Tissue kit (Qiagen, Hilden, Germany) in accordance with the manufacturer's instructions. DNA quantity and purity was determined using a Nanodrop spectrophotometer (Nanodrop Technologies, Wilmington, DE, USA). Agarose gels were run to ensure all DNA samples were of high‐molecular weight. DNA (1.2 μg) was digested with HinfI and RsaI restriction enzymes for 2 h at 37 °C. The restricted samples were quenched with 5 × SDS loading buffer (Roche Diagnostics, Mannheim, Germany) and loaded onto agarose gels containing SYBR safe stain (Invitrogen, Paisley, UK). After pulsed field gel electrophoresis, the gels were checked for non‐specific degradation of an undigested DNA control and complete digestion of the enzyme‐restricted DNA by visualizing the stained gels under UV light (Syngene, Cambridge, UK). The separated DNA fragments were transferred to nylon membrane (Roche Diagnostics) by Southern blotting, and telomeric repeat length was determined using a commercial method of chemiluminescent detection, as described previously (Tarry‐Adkins et al. 2006). Molecular weight markers on each gel were a mid‐range pulsed‐field gel marker (New England Biolabs, Ipswich, MA, USA) and dioxygenin (low range) molecular‐weight marker (Roche Diagnostics, Mannheim, Germany). Standard undigested and digested genomic samples of DNA from a 4 month control animal were also included on each gel to confirm digestion efficiency. Telomere signals were analysed using Photoshop (Adobe Systems Inc., San Jose, CA, USA) and Alpha Ease Software (Alpha Innotech, San Leandro, CA, USA). Telomere length was measured as described previously (Tarry‐Adkins et al. 2006).
Gene expression analysis
An initial panel of 38 candidate genes was developed to test which molecular pathways might be altered in the somatic oviduct following exposure to chronic gestational hypoxia. These genes were chosen based on (i) previous work on the effects of developmental programming on ovarian, para‐ovarian adipose tissue and oviductal gene expression (Aiken et al. 2015; Aiken et al. 2016; Tarry‐Adkins et al. 2018); (ii) knowledge of programming mechanisms in other organ systems in the same gestational hypoxia rat model (Camm et al. 2010; Giussani et al. 2012; Herrera et al. 2012); and (iii) a review of the relevant literature. RNA was extracted from snap‐frozen oviducts using a miRNeasy mini kit (Qiagen) in accordance with the manufacturer's instructions, with the addition of a DNaseI digestion step to ensure no genomic DNA contamination. RNA quantification was performed using a NanoDrop spectrophotometer (Nanodrop Technologies). RNA (1 μg) was used to synthesize cDNA using oligo‐dT primers and M‐MLV reverse transcriptase (Promega, Madison, Wisconsin, USA). Gene expression was determined using custom designed primers (Sigma, Poole, Dorset, UK) and SYBR Green reagents (Applied Biosystems, Warrington, UK), as described previously (Tarry‐Adkins et al. 2009). Primer sequences are provided in the Supporting information (Table S1). Quantification of gene expression was performed using a Step One Plus RT‐PCR machine (Applied Biosystems). Equal efficiency of the reverse transcription of RNA from all groups was confirmed through quantification of expression of the house‐keeping gene ppia, for which the expression did not differ between groups.
Protein quantification
As a result of the extremely small amount of tissue available, limited protein quantification was performed. Genes were selected for protein expression analysis on the basis of (i) RNA quantification results and (ii) rationale from previous studies in the same model. Protein was extracted from whole tissue lysates of snap‐frozen oviducts, as described previously (Tarry‐Adkins et al. 2015; Tarry‐Adkins et al. 2018). Protein (20 μg) was loaded onto 10%, 12% or 15% polyacrylamide gels, depending upon the molecular weight of the protein to be measured. The samples were electrophoresed and transferred to polyvinylidene fluoride membranes. Detection steps used the following primary antibodies: P53 (R&D Systems, R&D Systems, Minneapolis, MN, USA; catalogue no. MAB1355; dilution 1:1000; RRID:AB_357649), P16INK (Abcam, Cambridge, UK; catalogue no. Ab189034; dilution 1:1000; RRID:AB_2737282), OGG1 (Novus Biologicals, Littleton, CO, USA; catalogue no. NB100‐106; dilution 1:1000; RRID:AB_10104097), MRE11 (ProteinTech, Cambridge, UK; catalogue no. 10744‐1‐AP; dilution 1:1000; RRID:AB2145118), KU70 (ProteinTech; catalogue no. 10723‐1‐AP; dilution 1:1000; RRID:AB_), KU80 (Novus Biologicals; catalogue no. NB100‐508; dilution 1:1000; RRID:AB_2218756), Total Ox Phos rodent antibody cocktail (Abcam; catalogue no. Ab110413; dilution 1:5000; RRID:AB_2629281), HIF1α (Abcam; catalogue no. Ab51608; dilution 1:1000; RRID:AB_880418), GP91phox (ProteinTech; catalogue no. 19013‐1‐AP; RRID:AB_1342287; dilution 1:1000), P47phox (ProteinTech; catalogue no. 15551‐1‐AP; dilution 1:1000; RRID:AB_11182937), XO (Santa‐Cruz, Wimbledon, UK; catalogue no. SC‐20991; dilution 1:200, RRID:AB_2214858), HMOX1 (ProteinTech; catalogue no. 20960‐1‐AP; dilution 1:1000; RRID:AB_10732601), Catalase (Abcam; catalogue no. Ab1877‐10; dilution 1:10,000; RRID:AB_187710), MnSOD (Upstate, Watford, UK; catalogue no. 06‐984; RRID:AB_310325; dilution 1:1000), CuZnSOD (ProteinTech; catalogue no. 10269‐1‐AP; dilution 1:1000; RRID:AB_2193750). Anti‐rabbit secondary antibodies (Cell Signaling Technology, Danvers, MA, USA; dilution 1:2000) were utilized for all primary antibodies except P53, which required an anti‐mouse secondary antibody (Cell Signaling Technology; dilution 1:2000). Equal protein loading was confirmed by staining electrophoresed gels with Coomassie Blue (Bio‐Rad, Hemel Hempstead, UK) to visualize total protein. To ensure that the chemiluminescent signal changed in a linear manner, the ratio between loading controls (100% and 50% pooled sample) was confirmed for each detected protein.
Statistical analysis
All data were initially analysed using a two‐way ANOVA with gestational hypoxia/normoxia as the independent variable. Raw P values were transformed to take account of the false discovery rates. Maternal environmental effects were compared between groups using two‐tailed Student's t tests. Data are represented as the mean ± SEM. Where P values are reported, an alpha level <0.05 was considered statistically significant. All data analysis was conducted using the R, version 2.14.1 (R Foundation for Statistical Computing, Vienna, Austria). In all cases, n refers to the number of litters, with n = 7–8 for all groups. The adequacy of the sample size was determined via a power calculation based on the effect sizes for somatic ovarian expression for ageing‐related genes a previous rodent developmental programming model (Aiken et al. 2016) using an alpha level of 0.05 to give a power of 0.8. Sample analysis was performed using project codes to blind the investigators to the experimental groups.
Results
There was no impact of chronic gestational hypoxia on either maternal food intake during gestation (normoxia 79 ± 2 g kg–1 day−1 vs. hypoxia 70 ± 3 g kg–1 day−1) or length of gestation (normoxia 20 ± 1 days vs. hypoxia 20 ± 1 days).
Maintenance of oviductal telomere length
At 4 months of age, there were significantly more very short (1.3–4.2 kB, P < 0.001) telomeres in the oviducts of gestational hypoxia‐exposed adult females compared to the normoxic group (Fig. 1 A). There were no significant differences between the hypoxia and normoxia‐exposed groups in the proportion of telomeres that were short (4.2–8.6 kB), long (8.6–45.5 kB) or very long (45.5–145 kB).
Cell‐cycle markers of ageing
Alongside the increase in very short telomeres observed in hypoxia‐exposed tissues, there was an increase in cell‐cycle markers that increase with cellular ageing. Gene expression of p21 was significantly increased in the hypoxia‐exposed group compared to the controls (P < 0.04). There was also a trend towards increased p53 expression (P = 0.09), although this did not reach statistical significance (Table 1). At the protein expression level, there was no significant difference in P16ink levels between groups, although there was a significant increase in P53 (P < 0.05) (Table 2).
Table 1.
Gene | Normoxia | Hypoxia | |
---|---|---|---|
Ppia | 32234 ± 2363 | 28269 ± 3394 | NS |
P53 | 10775 ± 1237 | 13417 ± 1332 | 0.09 |
P21 | 5188 ± 1053 | 9292 ± 1374 | 0.04 |
Alox12 | 3120 ± 744 | 7714 ± 2089 | 0.05 |
Alox15 | 925 ± 225 | 854 ± 147 | NS |
Ogg1 | 1294 ± 135 | 1710 ± 132 | 0.03 |
Neil1 | 769± 63 | 730 ± 117 | NS |
Nth1 | 1505 ± 27 | 1329 ± 151 | NS |
Xrrc1 | 2675 ± 375 | 2175 ± 372 | NS |
Nrf2 | 11560 ± 1704 | 7555 ± 893 | NS |
Dna pkcs | 2134 ± 323 | 1421 ± 192 | 0.1 |
Mre11 | 723 ± 119 | 307 ± 79 | 0.04 |
Ku70 | 2380 ± 397 | 1533 ± 389 | NS |
Ku80 | 8743 ± 1410 | 5709 ± 1219 | NS |
Bax | 2093 ± 199 | 1750 ± 329 | NS |
Bcl2 | 4036 ± 530 | 2599 ± 293 | 0.05 |
BaxBcl2 | 0.41 ± 0.02 | 0.5 ± 0.08 | NS |
Tfam | 6447 ± 844 | 3866 ± 632 | 0.04 |
Pgc1a | 1806 ± 121 | 903 ± 236 | 0.01 |
Cs | 18621 ± 2551 | 9627 ± 156 | 0.02 |
Lonp1 | 7518 ± 874 | 7262 ± 1035 | NS |
Cycs | 27321 ± 4613 | 15812 ± 4446 | 0.08 |
Complex I | 26745 ± 721 | 22123 ± 2086 | 0.01 |
Complex II | 19112 ± 3730 | 14311 ± 1389 | NS |
Complex III | 27555 ± 4854 | 18414 ± 1721 | NS |
Complex IV | 46402 ± 4883 | 33668 ± 1533 | 0.05 |
Hif | 8172 ± 791 | 8276 ± 628 | NS |
Gp91phox | 6191 ± 1727 | 6904 ± 1023 | NS |
P22phox | 5128 ± 1081 | 7298 ± 1030 | NS |
P47phox | 1887 ± 136 | 2620 ± 631 | NS |
Xo | 19493 ± 2381 | 15989 ± 1793 | NS |
Gpx1 | 67342 ± 11501 | 34576 ± 8409 | NS |
Hmox1 | 3492 ± 202 | 3720 ± 255 | NS |
Catalase | 12593 ± 1716 | 13651 ± 280 | NS |
Nfkβ | 6419 ± 476 | 6073 ± 307 | NS |
Mnsod | 9286 ± 2005 | 15399 ± 577 | 0.04 |
Cuznsod | 171954 ± 8398 | 160528 ± 13018 | NS |
Ecsod | 35354 ± 3730 | 23778 ± 3163 | NS |
n = 7–8 for all groups (n refers to the number of litters). NS, not significant.
All reported P values have been adjusted to take account of multiple hypothesis testing.
Table 2.
Protein | Normoxia | Hypoxia | |
---|---|---|---|
P53 | 100 ± 17 | 158 ± 19 | 0.05* |
P16INK | 100 ± 30 | 100 ± 24 | NS |
OGG1 | 100 ± 22 | 137 ± 13 | 0.08 |
MRE11 | 100 ± 30 | 77 ± 22 | NS |
KU70 | 100 ± 10 | 58 ± 12 | 0.03* |
KU80 | 100 ± 18 | 115 ± 18 | NS |
Complex I | 100 ± 36 | 142 ± 56 | NS |
Complex II | 100 ± 29 | 150 ± 38 | NS |
Complex III | 100 ± 15 | 96 ± 18 | NS |
Complex IV | 100 ± 22 | 137 ± 31 | NS |
Complex V | 100 ± 2 | 108 ± 6 | NS |
CS | 100 ± 13 | 110 ± 16 | NS |
HIF1α | 100 ± 12 | 124 ± 15 | NS |
GP91phox | 100 ± 27 | 97 ± 15 | NS |
P47phox | 100 ± 24 | 119 ± 4 | NS |
XO | 100 ± 10 | 92 ± 11 | NS |
HMOX1 | 100 ± 44 | 37 ± 11 | NS |
CATALASE | 100 ± 10 | 125 ± 23 | NS |
MnSOD | 100 ± 9 | 156 ± 10 | <0.01** |
CuZnSOD | 100 ± 30 | 94 ± 23 | NS |
* P < 0.05, ** P < 0.01. n = 7–8 for all groups (n refers to the number of litters). NS, not significant.
All reported P values have been adjusted to take account of multiple hypothesis testing.
DNA damage repair mechanisms
Gene expression of Ogg1 was elevated in the hypoxia‐exposed group compared to the normoxic group (1294 ± 135 vs. 1710 ± 132 units; P < 0.05) (Table 1). At the protein level, the elevation of OGG1 in the hypoxia‐exposed group was of borderline significance (P = 0.08) (Table 2). By contrast Mre11 expression was decreased by more than 50% in the hypoxia‐exposed group compared to the controls (723 ± 119 vs. 307 ± 79, P < 0.05) (Table 1); however, there was no difference in MRE11 protein expression between the experimental groups (Table 2). There was a trend towards an overall reduction in the catalytic subunit of the DNA protein kinase (DNA pkcs) that is required for double‐stranded break repair and telomere maintenance (P < 0.1) (Table 1), although there were no differences in the expression of either of the components of the binding subunit, Ku70 or Ku80 (Fig. 1 B). However, at the protein level, there was a significant deficit of KU70 in the oviducts of animals exposed to gestational hypoxia (P < 0.05), with no difference in KU80 levels (Fig. 1 C).
There was no significant difference between hypoxia‐exposed and normoxic groups in expression of any other DNA damage sensing or early repair mechanisms that were included in the candidate genetic screen: Neil1, Nthl1 or Xrcc1 (Table 1).
Mitochondrial biogenesis
mtDNA copy number was reduced in hypoxia‐exposed animals compared to controls (P < 0.05) (Fig. 2 A). The expression of Tfam was significantly reduced in oviducts of animals exposed to gestational hypoxia compared to normoxic controls (P < 0.05) (Fig. 2 B). Pgc1α also showed reduced expression in the hypoxia‐exposed group (P < 0.05) (Fig. 2 C). There was no difference between groups in expression of Nrf2 or Lonp1 (Table 1). Hence, there is evidence that mtDNA biogenesis may be impaired in the oviduct after exposure to chronic gestational hypoxia.
We further investigated the gene expression of components of the mitochondrial respiratory complex. There was significant reduction in gene expression of complex I (P < 0.01) and complex IV (P < 0.05) in the hypoxia‐exposed group compared to the normoxia group. There was also a significant reduction in the gene expression of citrate synthase (Cs) (P < 0.05) (Table 1). There was no difference in the expression levels of complex II, complex III or cytochrome C (Cycs). However, there was no significant difference in protein expression between the hypoxia‐exposed and normoxia‐exposed groups in any of the tested mitochondrial respiratory components (Table 2).
Oxidative stress and anti‐oxidant defence capacity
There was no direct evidence of increased oxidative stress markers in any of the pathways tested in the oviducts at either the gene expression or protein levels (Hif1α, Gp91phox, P22phox, P47phox, Xo, Gpx1 and Hmox1) (Tables 1 and 2).
In terms of anti‐oxidant defence capacity, there was no significant difference in gene expression of Catalase, Cuzusod or Ecsod in the hypoxia‐exposed compared to the normoxia group. However, there was an increase in MnSOD expression at both the RNA and protein level (Fig. 2 D and E), which is in keeping with the suggestion that mitochondrial biogenesis may be suboptimal in the gestational oviduct. MnSOD is the specific mitochondrial isoform of the powerful superoxide dismutase group of anti‐oxidants. Increased expression of MnSOD may thus indicate a successful attempt to buffer the impact of excess free radical generation resulting from impaired mitochondrial biogenesis.
Lipid peroxidation
There was a significant increase in the gene expression of Alox12 (a key component of the lipoxygenase pathway) in the hypoxia‐exposed group compared to the controls (P < 0.05) (Table 2). There was no difference in the gene expression levels of Alox15 between the hypoxia‐exposed and control groups.
Discussion
In the present study, we provide evidence of accelerated ageing in the oviducts of female offspring in early‐mid adulthood, following exposure to chronic gestational hypoxia. Accelerated ageing is demonstrated at the cellular level by decreased telomere length and increased expression of markers of cellular ageing, in particular p21 and p53. The observed decrease in oviductal telomere length was accompanied by a specific post‐transcriptional reduction in KU70, which is a key functional subunit of the DNA‐activated protein kinase required for telomere length maintenance (Jette & Lees‐Miller, 2015). The observed upregulation of Ogg1 in the oviducts of the hypoxia‐exposed animals is in keeping with an increase in oxidative DNA damage. Ogg1 excises 7,8‐dihydro‐8‐oxoguanine from damaged DNA, which limits the impact of ubiquitous oxidative damage accumulated during normal ageing (Radicella et al. 1997). Hence, the observed increase in Ogg1 suggests a greater exposure to oxidative DNA damage in the oviducts following gestational hypoxia.
Clear evidence was also provided indicating that mitochondrial biogenesis is reduced in the oviduct following exposure to chronic gestational hypoxia. In particular, the key regulatory genes controlling mitochondrial biogenesis (Tfam and Pgc1α) were both downregulated in the hypoxia‐exposed group compared to the controls. Tfam is the master regulator of mitochondrial biogenesis via gene expression from the mitochondrial genome (Picca & Lezza, 2015) and Pgc1α regulates mitochondrial biogenesis via nuclear gene expression (Picca & Lezza, 2015). Alongside the observed reduction in mtDNA copy number, there is thus evidence that both key mechanisms regulating mitochondrial biogenesis are impaired following exposure to gestational hypoxia. Evidence of a mitochondrial deficit is particularly interesting because oviductal function depends on ciliary motility and co‐ordinated smooth muscle contraction (Halbert et al. 1976; Bylander et al. 2013; Zhao et al. 2015). Both of these processes are dependent on normal mitochondrial function and ATP production (Dirksen & Zeira, 1981; Lydrup & Hellstrand, 1986), particularly in the ciliated cells of the oviduct epithelium. Oviductal ultra‐structure, including mitochondria in the ciliated epithelial cells, appears to be established mainly during late fetal life (Kenngott et al. 2008; Zhao et al. 2015), which correlates with the timing of exposure to a chronic hypoxic environment in the present study.
There is remarkably little published evidence regarding oviductal phenotype in other developmental programming models, despite the plethora of studies that have examined ovarian reserve (Bernal et al. 2010; Aiken et al. 2013; Chan et al. 2015a; Aiken et al. 2016). However, at least one previous study has examined the impact of a maternal low protein diet on mtDNA copy number and telomere length in the oviduct (Aiken et al. 2013). In keeping with the findings of the present study, oviductal telomere length was shown to be particularly sensitive to the early life environment, more so than the somatic ovarian tissue (Aiken et al. 2013), and this effect was magnified with increasing age (Aiken et al. 2013). In the present study, we observed the same highly significant reduction in telomere length in young animals near the start of reproductive life. An important point for future development of this work is to test directly whether oviductal shortening in response to gestational hypoxia is magnified later in reproductive life. Interestingly, in response to a maternal low protein diet, oviductal mtDNA copy number was increased compared to the controls (Aiken et al. 2013), which contrasts with the findings of the present study. This suggests that reduced mitochondrial biogenesis is a specific effect of gestational hypoxia rather than a generic impact of early life stress on the oviduct. The relatively small number of proteins in the developing oviduct affected by exposure to gestational hypoxia also points towards a highly specific impact on cellular ageing within the oviduct, rather than ubiquitous tissue damage caused by the adverse early life environment. We also did not observe ubiquitous upregulation of markers of oxidative stress in the oviducts (Hif1α, Gp91phox, P22phox, P47phox, Xo, Gpx1 and Hmox1), which are normally highly sensitive to generic tissue damage adding further evidence that the effect reported is highly specific.
In keeping with the strong evidence of reduced mitochondrial biogenesis in the hypoxia‐exposed oviducts, we also observed an increase in mitochondrial‐specific anti‐oxidant defence. MnSOD was upregulated in the hypoxia‐exposed group compared to the controls, indicating that there may be an increase in reactive oxygen species produced. Mitochondria are the major intracellular source of reactive oxygen species, although there was no direct evidence of an increase in any of the oxidative stress markers that were assayed in this study. However this may become apparent as the animals age.
Oviducts are a relatively homogeneous tissue, with very low levels of telomerase expression (Lee et al. 2001). This is a significant advantage for the present study, which provides novel insight into this relatively under‐studied yet crucial part of the female reproductive system. A limitation of the present study is the inherently tiny amount of tissue available from each experimental animal (average oviductal weight ≤5 mg) (Sen & Talwar, 1973). This meant that the assays performed on protein, RNA and DNA had to be strictly prioritised rather than testing all potential genes and proteins of interest. The extremely small mass of the tissue also meant that we were unable assign tissue for histological examination or cell‐type specific analysis. These are important aims for future work. In particular, future studies should focus on whether the muscularis or the epithelium or both are affected by the phenotype described. Either could plausibly have a significant influence on oviductal function and future fertility. Accelerated ageing in the muscularis could affect efficient transport of gametes or conceptus, thus influencing the future risk of ectopic pregnancy. Accelerated ageing in the epithelium could influence the composition of the oviductal fluid, and hence the culture medium for the early embryo. Assessing oviductal function in vivo, including assessing fertility outcomes, would help to confirm the implications of our results and refine our understanding of the phenotype. All these considerations should form the basis of future investigations.
Oviduct‐related infertility is a key cause of female subfertility, accounting for ∼30% of cases (Kawwass et al. 2013), and increases with advancing maternal age (Maheshwari et al. 2008). Our work suggests that there may be a developmentally programmed component to the acceleration in cellular ageing and hence oviductal dysfunction observed in women aged ≥35 years (Maheshwari et al. 2008). The age of the animals investigated in the present study equates to early in reproductive life, and hence the observed evidence of cellular ageing in the oviducts is even more striking. Aside from infertility, the ageing of the oviducts is a significant risk factor predisposing to tubal ectopic pregnancy (Nybo Andersen et al. 2000), which can be a fatal complication of oviductal dysfunction (Farquhar, 2005). The risk of ectopic pregnancy increases sharply with maternal age from 1.4% of all pregnancies in women aged 21 years to 6.9% of pregnancies in women aged >44 years (Nybo Andersen et al. 2000). The active role of the oviductal epithelium in the pathogenesis of ectopic pregnancy is becoming increasingly clear (Horne & Critchley, 2012), as is the requirement for normal regulation of smooth muscle contractility (Shaw et al. 2010). Hence, our finding that adult females who have been exposed to chronic gestational hypoxia show accelerated ageing and dysregulated mitochondrial biogenesis in the oviducts may have potential clinical significance not only for patients with difficulty conceiving but also in understanding risk factors for ectopic pregnancy.
Conclusions
Large numbers of pregnancies worldwide are exposed to chronic gestational hypoxia, either through pregnancy at high altitude or through utero‐placental insufficiency (Ducsay, 1998; Kuzmina et al. 2005; Postigo et al. 2009; Giussani et al. 2016). The recognition of the adverse impact of lower than normal oxygenation during pregnancy on ageing of the oviducts, with attendant consequences for gamete and embryo transport in potential next generation mothers, is an important area for further research and exploration.
Additional information
Competing interests
The authors declare that they have no competing interests.
Author contributions
CEA, DAG and SEO conceived the study. DAG and SEO designed the study. JTA, AMS, AMN, TJA, AR, MJS and EJC acquired the data. CEA, JTA, AMS, AMN, TJA, AR, MJS and EJC analysed the data. CEA interpreted the data. CEA, DAG and SEO drafted the manuscript. JTA, AMS, AMN, TJA, AR, MJS and EJC critically revised the manuscript. All of the authors approved the final version of the manuscript. All authors agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All persons designated as authors qualify for authorship, and all those who qualify for authorship are listed.
Funding
CEA was supported by a grant from the Addenbrooke's Charitable Trust (ACT; RG94137) and by an Issac Newton Trust/Wellcome Trust ISSF/ University of Cambridge Joint Research Grant. SEO is supported by the MRC (MC_UU_12012/4). DAG is supported by The British Heart Foundation (PG/14/5/30546).
Supporting information
Biography
Catherine Aiken is a University Lecturer and Honorary Consultant in Fetal and Maternal Medicine at the University of Cambridge. Her work focuses on improving fetal and maternal health in the long‐term, as well as on the immediate outcomes of pregnancy and delivery. She studies how the intrauterine environment impacts on the health and disease of offspring in later life using animal models of suboptimal nutrition during pregnancy, as well as how to make delivery safer for both mothers and babies using data from clinical cohorts. She is committed to improving maternal and child health in both developed and developing settings.
Edited by: Laura Bennet & Suzanne Miller
Linked articles: This article is highlighted in a Perspectives article by Nathanielsz et al. To read this article, visit https://doi.org/10.1113/JP277868.
References
- Aiken CE, Tarry‐Adkins JL & Ozanne SE (2013). Suboptimal nutrition in utero causes DNA damage and accelerated aging of the female reproductive tract. FASEB J 27, 3959–3965. [DOI] [PubMed] [Google Scholar]
- Aiken CE, Tarry‐Adkins JL & Ozanne SE (2015). Transgenerational developmental programming of ovarian reserve. Sci Rep 5, 16175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Aiken CE, Tarry‐Adkins JL, Penfold NC, Dearden L & Ozanne SE (2016). Decreased ovarian reserve, dysregulation of mitochondrial biogenesis, and increased lipid peroxidation in female mouse offspring exposed to an obesogenic maternal diet. FASEB J 30, 1548–1556. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bernal AB, Vickers MH, Hampton MB, Poynton RA & Sloboda DM (2010). Maternal undernutrition significantly impacts ovarian follicle number and increases ovarian oxidative stress in adult rat offspring. PLoS ONE 5, e15558. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bylander A, Lind K, Goksor M, Billig H & Larsson DG (2013). The classical progesterone receptor mediates the rapid reduction of fallopian tube ciliary beat frequency by progesterone. Reprod Biol Endocrinol 11, 33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Camm EJ, Hansell JA, Kane AD, Herrera EA, Lewis C, Wong S, Morrell NW & Giussani DA (2010). Partial contributions of developmental hypoxia and undernutrition to prenatal alterations in somatic growth and cardiovascular structure and function. Am J Obstet Gynecol 203, 495 e424–e434. [DOI] [PubMed] [Google Scholar]
- Camm EJ, Martin‐Gronert MS, Wright NL, Hansell JA, Ozanne SE & Giussani DA (2011). Prenatal hypoxia independent of undernutrition promotes molecular markers of insulin resistance in adult offspring. FASEB J 25, 420–427. [DOI] [PubMed] [Google Scholar]
- Chan KA, Bernal AB, Vickers MH, Gohir W, Petrik JJ & Sloboda DM (2015a). Early life exposure to undernutrition induces ER stress, apoptosis, and reduced vascularization in ovaries of adult rat offspring. Biol Reprod 92, 110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chan KA, Tsoulis MW & Sloboda DM (2015b). Early‐life nutritional effects on the female reproductive system. J Endocrinol 224, R45‐62. [DOI] [PubMed] [Google Scholar]
- Depmann M, Faddy MJ, van der Schouw YT, Peeters PH, Broer SL, Kelsey TW, Nelson SM & Broekmans FJ (2015). The relationship between variation in size of the primordial follicle pool and age at natural menopause. J Clin Endocrinol Metab 100, E845–E851. [DOI] [PubMed] [Google Scholar]
- Dirksen ER & Zeira M (1981). Microtubule sliding in cilia of the rabbit trachea and oviduct. Cell Motil 1, 247–260. [DOI] [PubMed] [Google Scholar]
- Ducsay CA (1998). Fetal and maternal adaptations to chronic hypoxia: prevention of premature labor in response to chronic stress. Comp Biochem Physiol A Mol Integr Physiol 119, 675–681. [DOI] [PubMed] [Google Scholar]
- Farquhar CM (2005). Ectopic pregnancy. Lancet 366, 583–591. [DOI] [PubMed] [Google Scholar]
- Giussani DA, Bennet L, Sferruzzi‐Perri AN, Vaughan OR & Fowden AL (2016). Hypoxia, fetal and neonatal physiology: 100 years on from Sir Joseph Barcroft. J Physiol 594, 1105–1111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Giussani DA, Camm EJ, Niu Y, Richter HG, Blanco CE, Gottschalk R, Blake EZ, Horder KA, Thakor AS, Hansell JA, Kane AD, Wooding FB, Cross CM & Herrera EA (2012). Developmental programming of cardiovascular dysfunction by prenatal hypoxia and oxidative stress. PLoS ONE 7, e31017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Giussani DA & Davidge ST (2013). Developmental programming of cardiovascular disease by prenatal hypoxia. J Dev Orig Health Dis 4, 328–337. [DOI] [PubMed] [Google Scholar]
- Giussani DA, Phillips PS, Anstee S & Barker DJ (2001). Effects of altitude versus economic status on birth weight and body shape at birth. Pediatr Res 49, 490–494. [DOI] [PubMed] [Google Scholar]
- Gonzalez‐Candia A, Veliz M, Araya C, Quezada S, Ebensperger G, Seron‐Ferre M, Reyes RV, Llanos AJ & Herrera EA (2016). Potential adverse effects of antenatal melatonin as a treatment for intrauterine growth restriction: findings in pregnant sheep. Am J Obstet Gynecol 215, e241–e247. [DOI] [PubMed] [Google Scholar]
- Gonzalez‐Rodriguez P, Jr. , Tong W, Xue Q, Li Y, Hu S & Zhang L (2013). Fetal hypoxia results in programming of aberrant angiotensin ii receptor expression patterns and kidney development. Int J Med Sci 10, 532–538. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Halbert SA, Tam PY & Blandau RJ (1976). Egg transport in the rabbit oviduct: the roles of cilia and muscle. Science 191, 1052–1053. [DOI] [PubMed] [Google Scholar]
- Herrera EA, Camm EJ, Cross CM, Mullender JL, Wooding FB & Giussani DA (2012). Morphological and functional alterations in the aorta of the chronically hypoxic fetal rat. J Vasc Res 49, 50–58. [DOI] [PubMed] [Google Scholar]
- Ho SM, Cheong A, Adgent MA, Veevers J, Suen AA, Tam NNC, Leung YK, Jefferson WN & Williams CJ (2017). Environmental factors, epigenetics, and developmental origin of reproductive disorders. Reprod Toxicol 68, 85–104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Horne AW, Brown JK, Nio‐Kobayashi J, Abidin HB, Adin ZE, Boswell L, Burgess S, Lee KF & Duncan WC (2014). The association between smoking and ectopic pregnancy: why nicotine is BAD for your fallopian tube. PLoS One 9, e89400. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Horne AW & Critchley HO (2012). Mechanisms of disease: the endocrinology of ectopic pregnancy. Expert Rev Mol Med 14, e7. [DOI] [PubMed] [Google Scholar]
- Jette N & Lees‐Miller SP (2015). The DNA‐dependent protein kinase: A multifunctional protein kinase with roles in DNA double strand break repair and mitosis. Prog Biophys Mol Biol 117, 194–205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kawwass JF, Crawford S, Kissin DM, Session DR, Boulet S & Jamieson DJ (2013). Tubal factor infertility and perinatal risk after assisted reproductive technology. Obstet Gynecol 121, 1263–1271. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kenngott RA, Neumuller C & Sinowatz F (2008). Prenatal differentiation of bovine oviductal epithelium: an electron microscopic study. Anat Histol Embryol 37, 418–426. [DOI] [PubMed] [Google Scholar]
- Keyes LE, Armaza JF, Niermeyer S, Vargas E, Young DA & Moore LG (2003). Intrauterine growth restriction, preeclampsia, and intrauterine mortality at high altitude in Bolivia. Pediatr Res 54, 20–25. [DOI] [PubMed] [Google Scholar]
- Kuzmina IY, Hubina‐Vakulik GI & Burton GJ (2005). Placental morphometry and Doppler flow velocimetry in cases of chronic human fetal hypoxia. Eur J Obstet Gynecol Reprod Biol 120, 139–145. [DOI] [PubMed] [Google Scholar]
- Lee YL, Lee KF, Xu JS, Wang YL, Tsao SW & Yeung WS (2001). Establishment and characterization of an immortalized human oviductal cell line. Mol Reprod Dev 59, 400–409. [DOI] [PubMed] [Google Scholar]
- Lydrup ML & Hellstrand P (1986). Rate of oxidative and glycolytic metabolism in the guinea‐pig oviduct in relation to contractility and hormonal cycle. Acta Physiol Scand 128, 525–533. [DOI] [PubMed] [Google Scholar]
- Maheshwari A, Hamilton M & Bhattacharya S (2008). Effect of female age on the diagnostic categories of infertility. Hum Reprod 23, 538–542. [DOI] [PubMed] [Google Scholar]
- Nio‐Kobayashi J, Abidin HB, Brown JK, Iwanaga T, Horne AW & Duncan WC (2016). Cigarette smoking alters sialylation in the Fallopian tube of women, with implications for the pathogenesis of ectopic pregnancy. Mol Reprod Dev 83, 1083–1091. [DOI] [PubMed] [Google Scholar]
- Nybo Andersen AM, Wohlfahrt J, Christens P, Olsen J & Melbye M (2000). Maternal age and fetal loss: population based register linkage study. BMJ 320, 1708–1712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Parada‐Bustamante A, Orostica ML, Reuquen P, Zuniga LM, Cardenas H & Orihuela PA (2016). The role of mating in oviduct biology. Mol Reprod Dev 83, 875–883. [DOI] [PubMed] [Google Scholar]
- Pelosi E, Simonsick E, Forabosco A, Garcia‐Ortiz JE & Schlessinger D (2015). Dynamics of the ovarian reserve and impact of genetic and epidemiological factors on age of menopause. Biol Reprod 92, 130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Phillips TJ, Scott H, Menassa DA, Bignell AL, Sood A, Morton JS, Akagi T, Azuma K, Rogers MF, Gilmore CE, Inman GJ, Grant S, Chung Y, Aljunaidy MM, Cooke CL, Steinkraus BR, Pocklington A, Logan A, Collett GP, Kemp H, Holmans PA, Murphy MP, Fulga TA, Coney AM, Akashi M, Davidge ST & Case CP (2017). Treating the placenta to prevent adverse effects of gestational hypoxia on fetal brain development. Sci Rep 7, 9079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Picca A & Lezza AM (2015). Regulation of mitochondrial biogenesis through TFAM‐mitochondrial DNA interactions: Useful insights from aging and calorie restriction studies. Mitochondrion 25, 67–75. [DOI] [PubMed] [Google Scholar]
- Postigo L, Heredia G, Illsley NP, Torricos T, Dolan C, Echalar L, Tellez W, Maldonado I, Brimacombe M, Balanza E, Vargas E & Zamudio S (2009). Where the O2 goes to: preservation of human fetal oxygen delivery and consumption at high altitude. J Physiol 587, 693–708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Practice Committee of the American Society for Reproductive M (2015). Role of tubal surgery in the era of assisted reproductive technology: a committee opinion. Fertil Steril 103, e37–e43. [DOI] [PubMed] [Google Scholar]
- Radicella JP, Dherin C, Desmaze C, Fox MS & Boiteux S (1997). Cloning and characterization of hOGG1, a human homolog of the OGG1 gene of Saccharomyces cerevisiae . Proc Natl Acad Sci U S A 94, 8010–8015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Richter HG, Camm EJ, Modi BN, Naeem F, Cross CM, Cindrova‐Davies T, Spasic‐Boskovic O, Dunster C, Mudway IS, Kelly FJ, Burton GJ, Poston L & Giussani DA (2012). Ascorbate prevents placental oxidative stress and enhances birth weight in hypoxic pregnancy in rats. J Physiol 590, 1377–1387. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Robertson SA, Chin PY, Schjenken JE & Thompson JG (2015). Female tract cytokines and developmental programming in embryos. Adv Exp Med Biol 843, 173–213. [DOI] [PubMed] [Google Scholar]
- Roost M, Altamirano VC, Liljestrand J & Essen B (2009). Priorities in emergency obstetric care in Bolivia – maternal mortality and near‐miss morbidity in metropolitan La Paz. BJOG 116, 1210–1217. [DOI] [PubMed] [Google Scholar]
- Sen KK & Talwar GP (1973). Similarities and differences in the binding of oestradiol‐17beta to rat oviduct and uterus. J Reprod Fertil 35, 369–372. [DOI] [PubMed] [Google Scholar]
- Shaw JL, Denison FC, Evans J, Durno K, Williams AR, Entrican G, Critchley HO, Jabbour HN & Horne AW (2010). Evidence of prokineticin dysregulation in fallopian tube from women with ectopic pregnancy. Fertil Steril 94, 1601–1608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tarry‐Adkins JL, Aiken CE, Ashmore TJ & Ozanne SE (2018). Insulin‐signalling dysregulation and inflammation is programmed trans‐generationally in a female rat model of poor maternal nutrition. Sci Rep 8, 4014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tarry‐Adkins JL, Chen JH, Smith NS, Jones RH, Cherif H & Ozanne SE (2009). Poor maternal nutrition followed by accelerated postnatal growth leads to telomere shortening and increased markers of cell senescence in rat islets. FASEB J 23, 1521–1528. [DOI] [PubMed] [Google Scholar]
- Tarry‐Adkins JL, Fernandez‐Twinn DS, Madsen R, Chen JH, Carpenter A, Hargreaves IP, McConnell JM & Ozanne SE (2015). Coenzyme Q10 prevents insulin signaling dysregulation and inflammation prior to development of insulin resistance in male offspring of a rat model of poor maternal nutrition and accelerated postnatal growth. Endocrinology 156, 3528–3537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tarry‐Adkins JL, Ozanne SE, Norden A, Cherif H & Hales CN (2006). Lower antioxidant capacity and elevated p53 and p21 may be a link between gender disparity in renal telomere shortening, albuminuria, and longevity. Am J Physiol Renal Physiol 290, F509–F516. [DOI] [PubMed] [Google Scholar]
- Wang S & Larina IV (2018). In vivo three‐dimensional tracking of sperm behaviors in the mouse oviduct. Development 145, pii: dev157685. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhao W, Zhu Q, Yan M, Li C, Yuan J, Qin G & Zhang J (2015). Levonorgestrel decreases cilia beat frequency of human fallopian tubes and rat oviducts without changing morphological structure. Clin Exp Pharmacol Physiol 42, 171–178. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.