Lipidomic Analysis of TRPC1 Ca2+-Permeable Channel-Knock Out Mouse Demonstrates a Vital Role in Placental Tissue Sphingolipid and Triacylglycerol Homeostasis Under Maternal High-Fat Diet

The transient receptor potential canonical channel 1 (TRPC1) is a ubiquitous Ca²⁺-permeable integral membrane protein present in most tissues, including adipose and placenta, and functionally regulates energetic homeostasis. We demonstrated that elimination of TRPC1 in a mouse model increased body adiposity and limited adipose accumulation under a high fat diet (HFD) even under conditions of exercise. Additionally, intracellular Ca²⁺ regulates membrane lipid content via the activation of the protein kinase C pathway, which may impact placental membrane lipid content and structure. Based upon this we investigated the effect of HFD and TRPC1 elimination on neutral lipids (triacylglycerol and cholesteryl ester), membrane lipids (phosphatidylcholine and phosphatidylethanolamine), and other multifunctional lipid species (unesterified cholesterol, sphingomyelins, ceramides). The concentration of unesterified cholesterol and sphingomyelin increased with gestational age (E12.5 to E 18.5.) indicating possible increases in plasma membrane fluidity. Diet-dependent increases ceramide concentration at E12.5 suggest a pro-inflammatory role for HFD in early gestation. TRPC1-dependent decreases in cholesterol ester concentration with concomitant increases in long-chain polyunsaturated fatty acid -containing triacylglycerols indicate a disruption of neutral lipid homeostasis that may be tied to Ca²⁺ regulation. These results align with changes in lipid content observed in studies of preeclamptic human placenta.

Introduction

High fat diet (HFD)-fed mothers and fathers are obese, hyperglycemic, and hyperlipidemic (1). A parental HFD also contributes to gestational programing of offspring obesity (2–5). We have demonstrated that TRPC1 increases total body adiposity in mice by decreasing the efficacy of exercise to limit adipose accumulation under a HFD (6). Placental lipid regulation is vital to the development of a healthy placenta and fetus. Obesity and a HFD are associated with increased risks of preeclampsia, gestational diabetes, placental inflammation, and fetal macrosomia (7–9). Even during healthy pregnancies, placentae from obese women contain 20% more esterified lipid than placental samples from non-obese women, which impairs placental function (10). Investigating mechanistic relationships among adiposity, placental function, and putative placental tissue lipid content-associated placental dysfunction are important for understanding how HFD-induced obesity may impact fetal development mediated via placental dysfunction.

We have demonstrated that adipose proliferation is reduced in mice by knocking-out transient receptor potential canonical channel 1 (TRPC1) (11). TRPC1, a ubiquitous member of the transient receptor potential superfamily, is an integral membrane protein that regulates Ca²⁺ ion flux across the membrane (12). We have demonstrated that TRPC1 -/- animals have reduced adipocyte differentiation, reduced markers for autophagy, and increased expression of apoptosis markers, suggesting a change in neutral lipid storage and the sphingomyelin-ceramide pathway regulating nutrient transport, cell proliferation, and apoptosis (13, 14). We also demonstrated lower adipose mass in HFD fed TRPC1 -/- mice when compared to HFD fed WT mice (11, 15). When provided access to exercise, HFD fed TRPC1 -/- mice experienced greater loss of adipose by mass and reduced insulin resistance compared to WT animals under the same conditions, indicating TRPC1 plays a role in systematic energy homeostasis, particularly neutral lipid metabolism.

The hydrolysis of membrane-bound sphingomyelin (SM) to generate the secondary messenger ceramide (Cer) is a highly conserved signaling pathway that responds to cellular stress and regulates apoptosis (13). We hypothesized that placentae from TRPC1 -/- dams have increased Cer concentration when compared to control animals due to the metabolic changes we have previously observed in this mouse model (11, 15). If this is the result of increased SM hydrolysis, then there should be a concomitant decrease in SM concentration. Using a HFD high in saturated fat, there should be an additive increase in Cer concentration (16). Additionally, we aimed to determine whether the absence of TRPC1 gene in placentae altered the composition of neutral lipid storage. To test this hypothesis, we developed a comprehensive infusion lipidomic workflow which measured Cer, SM, phosphatidylcholines (PC), phosphatidylethanolamines (PE), triacylglycerols (TAG), cholesterol esters (CE), and unesterified cholesterol (FC).

Experimental

Animal Protocol Design and Approval

Two-month-old female B6129SF2/J mice (Envigo, Indianapolis, IN) were fed diets containing either 16% (normal-fat, NF) or 45% fat (high-fat, HF) for 12 weeks (Table S1). Following 12 weeks of diet intervention, dams were bred with normal chow fed males and pregnancy identified by the presence of a vaginal plug. Midday identification of the vaginal plug was considered embryonic day 0.5 (E0.5). Dams were maintained on their respective diets throughout mating and pregnancy. Dam euthanasia was by CO₂ inhalation according to the animal use and care protocol approved by the USDA Agricultural Research Service, Grand Forks Human Nutrition Research Center Animal Care and Use Committee. Fetuses and placentae were harvested in mid-gestation (E12.5-E13.5) or late gestation (E18.5-E19.5), weighed, measured, and then immediately frozen in liquid nitrogen.

Placental and Fetal Tissue Weight Measurements

The uterine horn was dissected from the dam and cut between each implantation site separating each amniotic sac containing individual fetus. Removed placenta and fetus were blotted dry before removal of umbilical cords. Weights were recorded and the placenta length and width were measured with the maternal convex side up using a digital caliper (Marathon Watch Company LTD., Richmond Hill, ON Canada). Samples were then flash frozen in liquid nitrogen and stored at -80°C.

Placental Lipid Analysis

HPLC-grade isopropanol, chloroform, butylated hydroxytoluene, and hexane were purchased from Sigma Aldrich (St. Louis, MO, USA) and used as received. HPLC-grade methanol was purchased from Honeywell (Muskegon, MI, USA). Silicic acid (200-325 mesh) was ordered from Clarkson Chromatography Products Inc. (South Williamsport, PA, USA). Internal standards for TAG and CE analysis were purchased from NuChek Prep Inc. (Elysian, MN, USA), phospholipid and sphingolipid standards and LIPIDMAPS standards were purchased from Avanti Polar Lipids (Alabaster, AL, USA) (Table S2).

Briefly, frozen placental samples were homogenized in aqueous buffer. Neutral lipid internal standards were added, and lipids were extracted in 3:2 hexane: isopropanol (50 µmol/L BHT). Extracts were isolated and dried under, then redissolved in 1 mL chloroform. The solution was divided in half, with 500 µL retained for phospholipid analysis (below). Phospholipids were removed from the neutral lipid fraction by dispersive SPE with silicic acid, and100 µL of the supernatant was combined with 100 µL of methanol (20 mM ammonium acetate). This sample (Solution 1) was analyzed for TAG and CE content as described below. A 500 µL aliquot of the SPE supernatant was used for the assay of FC following the method of Liebisch et al. (17).

Analysis of polar lipids was performed using the method adapted from Sundaram et al. with modifications made to allow for automation (18).

Data Collection and Analysis

Data were collected on an AB Sciex 5500 QTRAP hybrid mass spectrometer equipped with a Turbo V electrospray ion source and SelexION ion mobility device (AB Sciex, Framingham, MA, USA). Samples were infused using a Shimadzu Prominence UPLC system (Shimadzu Scientific Instruments, Columbia, MD, USA) equipped with an LC20XR autosampler (50 µL stainless steel sample loop) and two solvent delivery units following a configuration modified from Bukowski and Picklo as detailed in the Supplemental Information (19).

Multiple instrument modes were used based upon lipid class and preparation (Table S2). TAG were characterized and quantitated by brutto structure as ammoniated cations, [TAG + NH₄]⁺ in enhanced mass spectrum (EMS) mode as previously published (19, 20). Cholesterol esters (CE) were assayed by neutral loss scan for 20 fatty acid neutral losses with confirmatory detection of the cholesterol head group by product ion scan for mass-to-charge ratio (m/z) = 369, as previously published (Table S3) (20, 21). Acylated samples for FC determination were analyzed using multiple reaction monitoring for the acylated d7-cholesterol species (m/z = 453.4376.3) and the endogenous acylated cholesterol (m/z = 446.4369.3) (17). Ceramide species (Cer) were detected using the product ion m/z 264, selective to the sphingosine backbone, and quantified following the method of Picklo et al. (22). Phosphatidylethanolamine, and phosphatidylcholine species were quantified as brutto species using our previously published methods (20, 23). Monitoring the neutral loss of 141 Da allowed for the selective measurement of PE species, while monitoring the product ion m/z = 184 was selective for PC and SM species.

SM species were isolated for characterization and quantitation using the Selexion ion mobility device (24).

Mass spectra for all lipid class were examined manually to confirm brutto structure assignment. Isotopic and ionization correction factors were determined as previously described and quantitation of target species was performed using LipidView software (AB Sciex, Framingham, MA, USA) (19, 20, 22, 25). Values were normalized to tissue wet weight. TAG 54:0 and TAG 54:1 were excluded from analysis due to isobaric overlap with a silicone oligomer contaminant which was extracted from the septa and could not be reliably removed by subtraction.

Statistical Analysis

Statistical analyses were performed using MetaboAnalyst 5.0 (26). After range scaling, data were analyzed by one-way ANOVA with an alpha of P<0.05, and a 0.05 false discovery rate. Tukey’s HSD was employed to as a post-hoc test for significant interactions between groups.

Results

Types and Amount of Placental Lipid Determination

Using the combined infusion mass spectrometric methods 190 major lipid species including sphingolipids and phospholipids were identified in the placental samples. In the neutral lipid fraction 34 cholesterol esters, 50 TAG and FC were quantitated (additional details provided in Tables S4, S5). In the polar lipid fraction, brutto structures included 49 PC, 36 PE, eight SM, eight Cer, and four HexCer species (Tables S6–S8, respectively). A summary of the relationships established by univariate analysis is presented in Table 1.

TABLE 1

Table 1 Summary of lipid classes and relationships observed by 1-way ANOVA (p < 0.05) with.

Cer and other glycosphingolipids (cerebroside) species were identified based upon the m/z = 264 product ion which was selective for the sphingosine base, d18:1, allowing for identification of the fatty acid moiety based upon the precursor ion scan for the Cer species. As shown in Figure 1, PC and SM species were both detected in the precursor ion scan. The monoisotopic peaks used for quantitation of SM and PC species were offset one Dalton and presented overlap as in the case of the grouping of peaks from m/z 806-816, in which species PC 38:4, PC 38:3, PC 38:2, and PC 38:1 overlapped with SM 42:3, SM 42:2, and SM 42:1. Removal of PC the contribution using the Selexion ion mobility interface was necessary to accurately quantitate to SM, which represented approximately 4% of the signal. A difference in acyl carbon distribution between PC and PE species was evident (Figure 1).

FIGURE 1

Figure 1 Mass spectra of placental extracts from NF-WT mouse. Selective scans for (A) sphingomyelin (SM) using the product ion m/z 184 with differential ion mobility, (B) phosphatidylcholine and sphingomyelin using product ion m/z 184, and (C) phosphatidylethanolamine using the neutral loss of 141 Da. Internal standards are indicated with *. Dashed lines indicate glycerophospholipid groups with common acyl carbon number.

When compared, PE and PC species with equivalent acyl carbon numbers in placental membrane phospholipids demonstrated an increase in concentration of LC-PUFA moieties in PE (Figure 1, dashed lines). The majority of PC species had 34, and 36 acyl carbons with between 0 and 3 double bonds, corresponding to structures containing 16- and 18-carbon fatty acids such as palmitic, palmitoleic, stearic, oleic, and linoleic acids while the dominant PE species had 40 acyl carbons and between 4 to 7 double bonds and were composed largely of PUFA species as detailed in the Supplemental Information (Table S9) (25).

Lipid Content and Species Distribution Was Affected by Gestational Age

The gestational age of the placenta affected the neutral lipid and sphingolipid content. For neutral lipid species the concentration of FC (Figure 2A) increased from mid-gestation to late-gestation irrespective of diet or genotype. While animals on HFD appeared to have greater FC at mid gestation, biological variability rendered this difference non-significant and placental FC concentrations at late gestation were indistinguishable. A gestational age-dependent increase in total CE concentration was observed for WT-NF and TRPC1 -/- -HF animals. For the WT-NF group the increase was due primarily to increases in major species such as CE 16:0, CE 18:0, CE 18:1, CE 18: 2, (Figure 3A), though gains in CE 16:1, CE 20:2, CE 22:5, CE 22:6 and CE 24:1 also contributed to the elevated concentration. The major contributor to the increase in CE concentration for TRPC1 -/- -HF animals was CE 20:4, which increased 1.9-fold from mid to late gestation. Gestation-dependent increases in CE 22:5 (4.3-fold, Figure 3B) and CE 22:6 (2.9-fold, Figure 3B) and CE 22:4 (2.6-fold, Figure 3A) were also observed. These trends were not observed for either the TRPC1 -/- -NF or WT-HF animals, though the latter did exhibit a decrease CE 16:1 concentration (Figure 3B).

FIGURE 2

Figure 2 Lipid class differences between groups for (A) cholesterol esters (CE), unesterified cholesterol (FC), triacylglycerols (TAG). Sphingolipids are shown in (B), sphingomyelin (SM), ceramide (Cer), and hexosylceramides (HexCer). Data are shown as mean ± sem (n = 8, except for TRPC1 -/- -HF-M where n = 4). Symbols indicate differences with p<0.05 base upon one-way ANOVA with Tukey’s HRD post hoc test and application of a 0.05 false discovery rate for gestational age (*), diet (**), and genotype (‡). WT, wild-type; TRPC1 -/-, TRPC1 knock-out; NF, normal fat diet; HF, high-fat diet; M, mid-gestation; L, late gestation.

FIGURE 3

Figure 3 Placental CE concentration by species for CE C:N. C = acyl carbon number and N = acyl desaturation level. Species are grouped with concentration decreasing from A to B to demonstrate the range of concentrations. Data are shown as mean ± sem (n = 16, except for HF-TRPC1 where n = 12). Symbols indicate differences with p<0.05 base upon one-way ANOVA with Tukey’s HRD post hoc test and application of a 0.05 false discovery rate for gestational age (*), diet (**), and genotype (‡). P-values are available in Supplemental Materials. WT, wild-type; TRPC1 -/-, TRPC1 knock-out; NF, normal fat diet; HF, high-fat diet, M, mid-gestation; L, late gestation.

Total placental TAG concentration was not affected by gestational age; however, individual TAG species underwent gestation-dependent changes. Tissue from WT-HF dams demonstrated increased concentrations of TAG 50:1 and TAG 48:0 with a concomitant decrease in TAG 56:7 (Figures 4A, B). For WT animals, irrespective of diet, the most concentrated TAG species, (TAG 54:2, TAG 54:3, TAG 56:6, TAG 56:8, TAG 58:6, TAG 58:8) were stable over the observed gestational time scale, however TRPC1-knockout animals experienced decreases in TAG 58:6 and TAG 58:6 (Figures 4B, C), though the concentrations of these species were higher at the early gestational time point, as will be discussed below.

FIGURE 4

Figure 4 Placental TAG concentration by species for TAG C:N. C = acyl carbon number and N = acyl desaturation level. Species are grouped with diminishing concentrations from A–C to illustrate the range of concentrations. Data are shown as mean ± sem (n = 16, except for HF-TRPC1 where n = 12). Symbols indicate differences with p<0.05 base upon one-way ANOVA with Tukey’s HRD post hoc test and application of a 0.05 false discovery rate for gestational age (*), diet (**), and genotype (‡). P-values are available in Supplemental Materials. WT, wild-type; TRPC1 -/-, TRPC1 knock-out; NF, normal fat diet; HF, high-fat diet; M, mid-gestation; L, late gestation.

Gestational age affected the concentration of sphingolipids in placentae. In all cases the SM concentration increased with gestational age (Figure 2B). The major contributors to the net increase in SM concentration were SM 42:1, SM 42:2, and SM 34:1 (Figure 5B). Total Cer concentrations were unchanged for WT-NF samples but increased with gestational age for TRPC1 -/- -NF (Figure 2B). Cer d18:1/16:0, Cer d18:1/22:0, Cer d18:1/24:0, and Cer d18:1/24:1 were the major contributors to this increase (Figure 5A) Contrastingly, the WT-HF and TRPC1 -/- -HF arms exhibited decreased Cer concentration with increasing gestational age, as well as a decrease in total HexCer concentration.

FIGURE 5

Figure 5 Placental sphingolipid concentration by species. (A) Cer, and (B) SM species. Data are shown as mean ± sem (n = 8, except for HF-TRPC1-M where n = 4). Symbols indicate differences with p<0.05 base upon one-way ANOVA with Tukey’s HRD post hoc test and application of a 0.05 false discovery rate for gestational age (*), diet (**), and genotype (‡). P-values are available in Supplemental Materials. WT, wild-type; TRPC1 -/-, TRPC1 knock-out; NF, normal fat diet; HF, high-fat diet; M, mid-gestation; L, late gestation.

Total concentration PE species were not affected by gestational age in aggregate (Figure S1); however, PE 40:4 decreased in concentration for nearly all groups with increasing gestational age (Figure S2B). Only placentae from TRPC1 -/- -HF dams demonstrated a loss in PC concentration (Figure S1) but the concentration major contributors to that change were PC 36:2, PC 36:3, PC 38:3, and PC 34:2 (Figures S3A, B).

Lipidomic Responses to HFD Indicate Difference in Neutral Lipid Storage Between WT and TRPC1 -/- Placentae

Cholesterol ester concentrations at the earlier gestational time point were greater (p<0.05) in placentae from HFD fed dams irrespective of phenotype (Figure 2A). Species-level univariate analysis revealed the diet-induced increase in cholesterol ester concentration was independent of fatty acid identity, with increases in concentration for nearly all cholesterol ester species (Figure 3). The exceptions to this trend were CE 16:0 and CE 16:1, which demonstrated decreases from WT-NF -L to WT-HF-L. Tissue from TRPC1 -/- -HF-L dams demonstrated increases in CE 18:2, CE 20:4, CE 22:4, CE 20:3 CE 22:5, and CE 22:6 relative to TRPC1 -/- -NF-L though, with the exception of CE 20:4, the concentrations at this time point were not significantly different from WT-HF-L samples.

Differences in genotypic response to HFD were observed between the WT-HF-M and TRPC1 -/- -HF-M arms (Figures 3A, B). At the earlier time point the SFA-containing species CE 16:0 and CE 18:0 were only 37% and 53% of the WT-HF-L arm, respectively. This trend held for MUFA-containing CE (CE 18:1 and CE 16:1; 53% and 30% of WT-HF-L, respectively), as well as PUFA-containing CE species such as CE 18:2, CE 20:5, CE 22:5, and CE 22:6 (54%, 54%, 28%, and 39% of WT-HF-L, respectively). These differences were not present at the later time point for the HFD arms. These data, along with the observed increase in CE 20:4 noted earlier suggests a compensatory mechanism for PUFA CE accumulation.

For samples from WT animals consumption of HFD led to a decrease in TAG storage for TAG 54:2, 54:3, 54:7, 54:9, 56:0, 56:1, 56:2, 56:3, 56:9, 56:10, 58:0, 58:1,58:2, 58:4, 58:5, 58:10, 58:11, 60:11, and 60:12 (Figures 4A–C and Figure S2). TAG species which displayed genotypic responses followed the pattern of presenting elevated TAG levels for the TRPC1 -/- placentae relative to the WT at the earlier gestational time point. These species included TAG 56:3, 56:6, 56:7, 56:8, 58:5, 58:6, 58:7, 58:8, 58:10, 60:11, and 60:12 (Figures 4A–C and Figure S2). TAG 48:0 presented as an outlier to this trend presenting greater in WT-HF-L animals that the corresponding TRPC1 -/- arm (Figure 4B).

Sphingolipid Concentrations in Placental Tissue Were Altered by Gestation, Diet, and Genome

As discussed above, the general trend observed for SM species was an increase in concentration with gestational age irrespective of diet or genotype. For SM 34:1 a genotype-dependent response was observed. At the later gestation time point the concentration of SM 34:1 for TRPC1 -/- -NF-L was 64% of that observed for the corresponding WT-NF-L arm, however TRPC1 -/- -HF-M and TRPC1 -/- -HF-L had SM 34:1 concentrations that were 230% and 160% greater than in the corresponding WT groups (Figure 5B).

In addition to the gestational trends indicated above, the concentration of Cer species tended to be higher in placentae from WT-HF animals. For TRPC1 -/- -NF-L subjects the concentrations of Cer d18:1/16:0, Cer d18:1/24:1, and d18:1/24:1 increased with gestational age and were greater than corresponding WT-NF-L subjects (Figure 5B).

Discussion

This is the first analysis of mouse placentae at two gestational time points that demonstrates the effect of HFD on lipidomic profiles. Our first measurement at E12.5 corresponds to the appearance of the first definitive placenta, while the second measurement point near E18.5 represents a fully functioning organ nearing the end of its lifespan, preparing for parturition (27, 28). The visibly greater concentration of FC between the two diet arms at the early time point was not present by E18.5. Perhaps a nutritional sensitivity for FC early in pregnancy diminishes as the placenta develops and regulates cholesterol homeostasis and cholesterol efflux to the fetus. This could in part explain why, in a rodent model, cholesterol supplementation of the maternal diet impacts the serum lipid profile (HDL, LDL, TG, total cholesterol) without altering the fetal lipid profile (29). and the decrease in serum lipid concentrations post parturition in humans (30). Increased FC may also reflect greater membrane fluidity during placental development (31). Future work evaluating the impact of HFD on the transcription of enzymes involved in the biosynthesis and transport of cholesterol such as DHCR-7, Abca1, Abcg1 and Sr-b1 would shed light on the underlying mechanisms of this observation.

Our CE results also indicate a role for the placenta in fetal lipid homeostasis under HF conditions. While the placentae from WT-NF dams increased in CE concentration with gestational age, under WT-HF conditions the CE concentration decreased with gestational age, particularly for CE 16:1. Palmitoleic acid is a marker for de novo lipogenesis (DNL) (32), and a HFD suppresses DNL (33), specifically for lard-based diets such as the one used in this study (34). Conversely, HFD does not suppress TAG synthesis, thus TAG composition reflects re-esterification of diet-derived fatty acids (18, 33). As expected, we observed no diet-dependence on overall TAG concentration, however it was not possible to evaluate the second hypothesis as a lard-based diet is reflective of the endogenous fatty acids typical to most mammals. Additional work should be done to evaluate whether the down-regulation of DNL is of placental or hepatic origin.

The greater concentration of SM in the gestationally more developed placentae is likely a consequence of increased formation of lipid raft domains to process signaling and vesicle transport across the plasma membrane (35). Indeed, SM is critical for the function of TRP cation channels (36). In the fully developed placentae (D18.5) from TRPC1 -/- -NF dams the concentration of major SM species (SM 34:1 and SM 42:1) were lower than for WT-NF, due to a reduction in the presence of lipid raft domains coincident with the elimination of a TRP cation channel. SM species also act as substrate for initiation of sphingolipid signaling (35). Thus, the greater concentrations of SM 34:1 in TRPC1 -/- -HF placentae relative to WT-HF at both developmental periods suggests perturbation of sphingolipid homeostasis independent of gestational status. This is an important finding because Del Gaudio and colleagues noted accumulation of SM 34:1, SM 36:1 and SM 42:1 to the endothelium of feto-placental blood vessels from preeclamptic placentae, indicating a link between SM-accumulation and placental vascular development (37).

SM catabolism is the first step in a sphingolipid signaling cascade initiated by Toll-like receptor 4 (TLR4), a well-known pro-inflammatory mediator of innate immunity (16). The greater Cer concentration in HF-WT dams at both gestational periods (Figure 2B) mirrored the results observed by Holland et al. (16) in multiple tissues in response to an infusion of high-SFA lard oil. This is also in agreement with the pro-inflammatory role of diets high in SFA (38–40). The subsequent decrease in Cer concentration with increasing gestational age for both WT-HF and TRPC1 -/- -HF animals suggests a conserved role for Cer signaling in energetic homeostasis (14, 41). The increase in Cer species for the TRPC1 -/- -NF arm of the study may indicate in increased inflammatory load for these animals, though further characterization of inflammatory markers is needed to confirm this possibility.

TRPC1 mRNA and protein are expressed in human placentae (42) and upregulation of TRPC1 protein and subsequent increase in Ca²⁺ influx into the placental tissue may be a crucial step for decidualization (43). However, it is not yet known whether the absence of TRPC1 affects placental function via changes in placental lipid content, especially under maternal HFD. Data presented in our study showed placental lipid composition is modifiable due to absence of TRPC1 expression under maternal HFD, particularly at E12.5 of gestation. The decrease in cholesterol ester concentration for TRPC1 -/- animals (Figures 3A, B) with no concomitant genotype-dependent change in FC suggests either a decrease in CE formation or an increase in CE hydrolysis. Further investigation is needed to determine the role of enzymes that generate CE (lecithin cholesterol acyltransferase, sterol O-acyltransferase), or hydrolyze CE (cholesterol ester hydrolase). The increase in long-chain CE species for the TRPC1 -/- -HF-L arm indicates a possible compensatory mechanism for the formation of long-chain PUFA species.

For TRPC1 -/- animals we observed increased concentrations for TAG species with 56 or more acyl carbons and greater than 4 points of desaturation. In previous work it was observed that species in this regime contain long-chain PUFAs (18, 20). Diets were not supplemented with additional PUFA, which suggests this increase results from increased fatty acid elongation and TAG synthesis (33). We have observed PPARγ-dependent down regulation of oxidative metabolism in brown adipose from TRPC1-deficient mice (44) and reduced autophagy in adipose tissue (15), thus this may be an adaptation to sequester fatty acids as TAG species in lipid droplets to forestall the formation of a lipotoxic environment. Transcriptomic analysis for expression of sterol-regulatory element binding protein 1 (SREBP-1), sterol-CoA desaturase (SCD-1), diacylglycerol acyltransferases (DGAT1 and DGAT2), and ELOVL elongases would allow for the testing of this hypothesis. Unesterified fatty acids could also be assayed by fatty acid methyl ester analysis, though it would necessitate a larger sample collection that was available.

Our observation of TAG accumulation is congruent with observations from a study of functional complications in human placentae. Using infusion lipidomic methods like those employed in our study Brown et al. analyzed human placental biopsies from heathy pregnancies and pregnancies with complications due to preeclampsia or intrauterine growth restriction (45). Preeclampsia and intrauterine growth restriction were associated with greater TAG content, specifically in PUFA-containing species.

Lipidomic analysis presents an important window into energetic homeostasis, placental development, and inflammatory status, but complimentary techniques are needed to support some of the arguments above. The neutral lipid products quantified above implicate several enzymatic pathways for CE, TAG and fatty acid synthesis which could be addressed using transcriptomic analysis (46). Placental inflammation and vascular development could be assessed as we have in prior work (47). Limitations in sample availability preclude following up on these lines of inquiry for this study.

Conclusions

We performed an infusion based lipidomic analysis to determine the effects of gestational age, diet and elimination of the TRPC1 Ca²⁺ transport mechanism on the placental lipidome. Increasing gestational age resulted in increased unesterified cholesterol and sphingomyelin that may reflect increased plasma membrane fluidity and cross-membrane signaling. Changes in cholesterol ester and TAG content indicate the disruption of the TRPC1 Ca²⁺ may promote increased TAG storage.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.

Ethics Statement

The animal study was reviewed and approved by USDA Agricultural Research Service, Grand Forks Human Nutrition Research Center Animal Care and Use Committee.

Author Contributions

KC-L, JR, and BS designed the animal study. MB developed and performed the lipidomic analysis. The paper was prepared by MB and KC-L, with contributions by BS and JR. All authors have read and approved the manuscript.

Funding

This work was funded by grant support from the USDA Agricultural Research Service Project #3062-51000-054-00D.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We thank Amy N. Bundy for assistance with conduct of the study. This work was supported by U.S. Department of Agriculture, Agricultural Research Service project 3062-51000-054-00D. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the USDA. The U.S. Department of Agriculture prohibits discrimination in all its programs and activities on the basis of race, color, national origin, age, disability, and where applicable, sex, marital status, familial status, parental status, religion, sexual orientation, genetic information, political beliefs, reprisal, or because all or part of an individual’s income is derived from any public assistance program. (Not all prohibited bases apply to all programs.) Persons with disabilities who require alternative means for communication of program information (Braille, large print, audiotape, etc.) should contact USDA’s TARGET Center at (202) 720-2600 (voice and TDD). To file a complaint of discrimination, write to USDA, Director, Office of Civil Rights, 1400 Independence Avenue, S.W., Washington, D.C. 20250-9410, or call (800) 795-3272 (voice) or (202) 720-6382 (TDD). USDA is an equal opportunity provider and employer. MB is currently with the USDA-ARS Beltsville Human Nutrition Research Center, 10300 Baltimore Avenue, RM. 117, BLDG. 307C, BARC-EAST, Beltsville, MD 20705, Email: michael.bukowski@usda.gov.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fendo.2022.854269/full#supplementary-material

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