ABSTRACT
Metabolic syndrome has become a global epidemic, affecting all developed countries and communities with growing economies. Worldwide, increasing efforts have been directed at curbing this growing problem. Mice deleted of the gene encoding Type 1 Transient Receptor Potential Canonical Channel (Trpc1) were found to weigh heavier than controls. They had fasting hyperglycemia and impaired glucose tolerance compared with wild-type controls. Beyond 1 year of age, plasma triglyceride level in Trpc1−/− mice was elevated. Plasma cholesterol levels tended to be higher than in controls. The livers of Trpc1−/− mice were heavier, richer in triglyceride, and more echogenic than those of controls on ultrasound evaluation. Hematocrit was lower in Trpc1−/− mice of both genders beginning at the second to third months of age in the absence of bleeding or hemolysis. Measured by the indirect tail-cuff method or by the direct arterial cannulation, blood pressures in null mice were lower than controls. We conclude that TRPC1 gene regulates body metabolism and that except for hypertension, phenotypes of mice after deletion of the Trpc1 gene resemble mice with metabolic syndrome, suggesting that this could be a good experimental model for future investigation of the pathogenesis and management of this disorder.
Keywords: TPRC1, Metabolic syndrome, Calcium channel, Diabetes, Ultrasound, Animal model
Summary: Trpc1-knockout mice are obese, diabetic, hypertriglyceridemic and anemic with liver steatosis on ultrasound, providing a model for studying the pathogenesis and management of metabolic syndrome, a growing global epidemic.
INTRODUCTION
Metabolic syndrome has become increasingly recognized in clinical medicine, currently defined as displaying key components of systemic hypertension, glucose intolerance, dyslipidemia, obesity, and liver disease (Huang, 2009; Kennedy et al., 2010; Wong et al., 2016). It is associated with increased cardiovascular risks, prompting urgent therapeutic interventions, although largely empirical at present. Currently, neither the precise pathogenesis nor the rational management have been defined, despite active ongoing research. One obstacle relates to the paucity of established animal models. Another impediment is the absence of a testable hypothesis in either the pathogenesis or the treatment.
The superfamily of TRP channels consists of a large number of cation channels that are generally permeable to monovalent and divalent cations. The 28 mammalian TRP channels are currently grouped into six main subfamilies: the TRPC (canonical), TRPV (vanilloid), TRPM (melastatin), TRPP (polycystin), TRPM (mucolipin), and the TRPA (ankyrin). Expressed in virtually every tissue and every cell type, TRP channels have been postulated to play a key role in the regulation of many cell functions (Nilius et al., 2007; Abramowitz and Birnbaumer, 2009; Onopiuk et al., 2020; Nesin and Tsiokas, 2014).
Each TRP channel subunit is made up of six putative transmembrane spanning segments (S1–6), a pore-forming loop between S5 and S6, and intracellularly located NH2 and COOH termini. Assemblage of channel subunits as homo- or hetero-tetramers generates various cation-selective channels. Indeed, several TRPCs, including TRPC-1, −4, and −5, can form heterotetramers, and the current properties are significantly different between TRPC5- and TRPC1/TRPC5-expressing cells. To date, major scientific advances have been generated, broadening our present understanding on the physiology and pathophysiology of TRP channels in human diseases (Beech et al., 2003; Beech, 2005; Ambudkar, 2007).
At present, only a few disorders of ion channels have been identified in which defects in Trp genes are the unequivocal cause of cellular dysfunction. TRPC1 was the first mammalian TRP channel to be recognized. Transient receptor potential Trp gene was first cloned in Drosophila (Montell and Rubin, 1989). TRPC1, a human homolog of the Drosophila store-operated channel was identified (Wes et al., 1995; Zhu et al., 1995) in the search for similar channel proteins in humans. TRPC1 and TRPC3 are the founding members of this ion channel family. The TRPC superfamily includes various channels involved in signal transduction. Dysfunctions in some members have been implicated in obesity, hypertriglyceridemia, diabetes and hypertension. For example, TRPC1 expression was found to be reduced in diabetes (Zhang et al., 2009) but any causal relationship was obscure, although TRPC1 was the first TRP channel cloned and identified in pancreatic beta cells (Zhang et al., 2009).
Salivary gland fluid secretion has been reported to be impaired in mice deleted of the TRPC1 gene, presumably due to reduced store operated Ca (SOC) entry (Liu et al., 2007). SOC entry has been demonstrated to be a key component of the insulin secretion machinery (Sabourin et al., 2015). TRPC1 and the nuclear receptor, hepatic nuclear factor 4 alpha (HNF4 alpha), have been proposed as possibly involved in diabetic nephropathy (Niehof and Borlak, 2008), because TRPC1 expression was found to be reduced in this condition, in 12-week-old, and in 26-week-old diabetic db/db mice. However, this had also been suggested as a late phenomenon (Niehof and Borlak, 2008).
In 20 individuals with diabetes and 26 people without diabetes undergoing coronary bypass surgery, saphenous veins were collected and vasomotor function was studied. RT-PCR and Western blotting analyses were also performed. Protein expression was found to be reduced for TRPC1 and TRPC6 in diabetic patients (Chung et al., 2009). It was reported that TRPC1 genetic polymorphism was associated with type 2 diabetes in the Han Chinese population (Chen et al., 2013). One study suggested that TRPC1 is elevated in a porcine model of metabolic syndrome produced by feeding 6- to 9-month-old pigs a high-fat diet (Hu et al., 2009), but no causal relationship was suggested or defined. Recently it was shown that TRPC1 inhibited exercise-induced protection against obesity produced by a high-fat diet and in type 2 diabetes (Krout et al., 2017). However, it is unclear if the control animals were well matched to make such an interpretation unequivocal.
TRPC1/5 has been demonstrated to block adiponectin and create insulin resistance (Ahern, 2013; Sukumar et al., 2012). The ubiquitous expression of TRPC1 channels implies possible potential protection in many tissues or organs, even if the affected protein is mutated, absent or dysfunctional. The ability for TRPC channels to form potentially functional hetero-tetramers amid different members of a similar family suggests substantial system redundancy, conceivably to defend against serious organ dysfunctions despite minimal mutation or even complete loss of a given channel protein. Erasure of the TRPC1 gene is expected to cause multiple, though mild, organ dysfunctions. The TRPC superfamily comprises various cation channels shown to be involved in signal transduction, cell activation, and/or metabolism. Some members have been implicated in or linked to obesity, hypertriglyceridemia, diabetes and hypertension, four conditions currently being considered to be key features of the metabolic syndrome.
TRPC1 was the first TRPC channel cloned and identified in the pancreatic beta-cells. Its expression has been shown to be reduced in diabetes, but a cause-and-effect relationship, if any, has not been shown or defined. To the best of our knowledge, the phenotypes, if any, of Trpc1−/− mice have neither been well described nor systematically evaluated. Recently, a role of TRP channels in metabolic syndrome has been proposed (Liu et al., 2008). Here, we tested the hypothesis that TRPC1 deficiency impairs glucose tolerance and causes abnormal lipid metabolism. If proven true, we would proceed to evaluate any possible organ dysfunctions.
RESULTS
Metabolic data
At 9 weeks of age, male Trpc1−/− mice exhibited a 20% heavier body weight, 28.3±0.5 g, n=8 vs 23.5±0.8 g, n=7 compared to age-matched wild-type controls, Trpc1+/+ (P<0.001). In a larger subset, weight was heavier in Trpc1−/− mice beginning at 8 months of age and remained so through the 17th month, the last point of observation (Fig. 1 A,C). In littermates born to common heterozygous mutant mothers, the heavier weight in homozygous mutant mice over the wild type was apparent from the first month (Fig. 1B,C). At 10 months of age, the average food intake [3.3±0.3 vs 1.4±0.2 g/day of Purina rodent chow 5001 (3.36 Kcal/g), P<0.001] in homozygous mutant mice was 130% greater than that consumed by the wild-type controls. Fluid intake of sugar-containing cocktail (0.3 Kcal/ml) was not different (27.2±2.9 vs 23.7±2.9 ml/day). Mean total caloric (chow plus sugar-containing cocktail) intake was 62% greater in Trpc1−/− mice than control (19.3 vs 11.9 kcal/day), P<0.001.
Glucose intolerance in Trpc1−/− mice
At 9 weeks of age, non-fasting blood glucose was 171±14 mg/dl in Trpc1−/− mice (n=8) vs 98±6 mg/dl in wild type (n=7), displaying a 75% greater difference (P<0.001). Trpc1−/− mice had shown persistently impaired blood glucose since 8.5 months of age. Mean blood glucose in 7 Trpc1−/− mice was 135±5 vs 100±3 mg/dl in 12 wild-type controls at 8.5 months (P<0.001). Blood glucose in five Trpc1−/− mice was 136±5, vs 89±4 mg/dl in 11 wild-type control mice at 10.5 months (P<0.001). It was 153±9 mg/dl in 12 Trpc1−/− mice vs 121±6 mg/dl in 11 wild-type control mice at 17 months. Non-fasting blood glucose was elevated in both male and female Trpc1−/− mice (Tables 1,2).
Table 1.
Table 2.
Elevated fasting blood glucose levels in Trpc1−/− mice of both genders
As early as 1 month of age, blood glucose was elevated in Trpc1−/− mice (71.3±2.3 mg/dl, n=64) vs littermate wild-type control mice (63.5±3.1 mg/dl, n=40), P<0.05. Fasting blood glucose value in littermate Trpc1+/− mice (70.3±4.1 mg/dl, n=28) tended to be higher, but they were not significantly different from either the null mice or wild-type control mice. At 10.5 months of age, blood glucose was elevated in Trpc1−/− mice (109±8 mg/dl, n=5) vs wild-type control mice (72±5 mg/dl, n=11), P<0.001, and 12 months of age, blood glucose was elevated in Trpc1−/− mice (125±8 mg/dl, n=12) vs wild-type control mice (67±3 mg/dl, n=11), P<0.001. At 15.5 months of age, fasting blood glucose in null mice continued to be higher than littermate wild-type controls (65±2, n=28 vs 57±2 mg/dl n=15, P<0.02). Fasting blood glucose in littermate heterozygotes (61±3 mg/dl, n=15) was not statistically different from wild-type or Trpc1−/− mice (data not shown). Both homozygous mutant males and homozygous mutant females had significantly elevated fasting blood glucose levels from the first through the 16th month of age (Tables 1,2).
Glucose tolerance test (GTT)
At 11 months of age, GTT was performed by intraperitoneal injection of glucose (2 mg glucose/g body weight), given after a 16 h of fasting. Blood glucose was measured every 30–60 min. Trpc1−/− mice had abnormal glucose tolerance (P<0.001) compared with control. At 12.5 months of age, during the glucose tolerance test, the blood glucose values in Trpc1−/− mice were higher than in controls and were statistically significant at all time points. Thus at 12.5 months, Trpc1−/− mice had features of the metabolic syndrome, whereas the glucose tolerance test at 11 months showed elevated values in Trpc1−/− mice only during the first 2 h, with similar readings to wild-type controls thereafter (Fig. 2A,B). The minor difference in results between 11 and 12.5 months could reflect a milder defect in glucose intolerance at an earlier age. To confirm this interpretation, we tested glucose tolerance again at 16.5 months of age (Fig. 2C). At this time, the older Trpc1−/− mice again reproduced the glucose intolerance exhibited at 12.5 months (Table 3).
Table 3.
B. 12.5 month old male mice | 0 min post glucose | 15 min post glucose | 30 min post glucose | 60 min post glucose | 120 min post glucose | 180 min post glucose | 240 min post glucose | 270 min post glucose | 360 min post glucose |
---|---|---|---|---|---|---|---|---|---|
Trpc1+/+ glucose (mg/dl) | 54.5±3.9 (n=11) | 156.4±1.7 (n=11) | 174.3±1.9 (n=11) | 166.5±2.2 (n=11) | 118.5±2.7 (n=11) | 90.9±3.0 (n=11) | x | 84.9±3.1 (n=11) | 86.4±3.0 (n=11) |
Trpc1−/− glucose (mg/dl) | 94.5±2.4 (n=12) | 314.0±1.3 (n=12) | 338.6±1.2 (n=12) | 336.7±1.2 (n=12) | 221.3±1.3 (n=12) | 171.3±1.3 (n=12) | x | 145.2±1.9 (n=12) | 140.5±2.0 (n=12) |
P < | .01 | 0.001 | 0.001 | 0.001 | .01 | 0.01 | x | 0.05 | ns |
C. 16.5 month old male mice | 0 min post glucose | 15 min post glucose | 30 min post glucose | 60 min post glucose | 90 min post glucose | 120 min post glucose | 180 min post glucose | 240 min post glucose | 270 min post glucose |
---|---|---|---|---|---|---|---|---|---|
Trpc1+/+ glucose (mg/dl) | 94.13±1.63 (n=8) | 204.25±10.34 (n=8) | 256.38±7.18 (n=8) | 281.75±7.15 (n=8) | 270.00±15.16 (n=8) | 251.25±17.72 (n=8) | 213.75±15.6 (n=8) | 184.63±13.32 (n=8) | x |
Trpc1−/− glucose (mg/dl) | 126.25±7.59 (n=4) | 300.25±15.27 (n=4) | 352.00±22.21 (n=4) | 342.25±12.13 (n=4) | 345.33±29.81 (n=3) | 338.75±31.34 (n=4) | 289.25±44.21 (n=4) | 275.75±50.74 (n=4) | x |
P < | 0.02 | 0.001 | 0.02 | 0.01 | ns | 0.06 | ns | ns | x |
Homeostatic model assessment of insulin resistance (HOMA-IR)
Insulin resistance was confirmed by calculating HOMA-IR in the Trpc1−/− mice vs wild-type controls (4.6±1.4, n=12 vs 0.88±0.1, n=11 P<0.05). Insulin (17.7±4.3 micro-Units, n=12) was higher in Trpc1−/− mice than in wild-type controls (6.5±0.7 micro-Units, n=11). As HOMA-IR results vary considerably secondary to changes in beta cell function over time, we measured HOMA-beta cell function, which was consistently comparable between Trpc1−/− mice and wild-type control: 90±13%, n=12, vs 99±12%, n=11 not significant (ns) at 12 months and 85±16%, n=12, vs 93±15%, n=11, ns at 13 months. HOMA-beta formula was slightly modified to adapt it to the mice, using the same formula for both the wild-type mice and null mice. HOMA-IR was elevated in 4.5-month-old homozygous mutant males (P<0.0001) and females (ns) (Tables 1,2). Leptin level was not different and adiponectin level was mildly elevated in homozygous mutant mice, but it is difficult to interpret owing to the different number and size of adipocytes between genotypes (Tables 1,2). Indeed we found conflicting results at other ages (data not shown). C-peptide corroborated the elevated endogenous insulin levels in males. Glucagon was lower in the Trpc1−/− mice, as expected with the elevated blood glucose (Tables 1,2).
Analysis of serum lipids
Lipid profile was measured at 12 and 22 months. Data confirmed a 30% increase in serum total cholesterol, 60% increase in serum LDL cholesterol, and 200% increase in serum triglyceride (TG) levels in Trpc1−/− mice compared with the wild-type controls, with P-values of <0.005, <0.005 and <0.005 respectively at 12 months. At 22 months, triglycerides in Trpc1−/− mice were increased by 50%, P<0.001 in Trpc1−/− mice, however cholesterol was not different (Table 4). This strengthens our hypothesis that metabolic syndrome can be created by the deletion of both copies of the Trpc1 gene. Littermate Trpc1−/− mice compared to wild-type controls had elevated triglycerides at 12 months of age (data not shown), and at 18 months but serum cholesterol was elevated only at 18 months (Table 4). Both male and female Trpc1−/− mice had elevated serum triglyceride levels at 4.5 months and 13.5 months, but serum cholesterol was comparable to age-matched wild-type controls (Tables 1,2). The inconsistency in elevation of serum cholesterol is presently unexplained.
Table 4.
Liver echogenicity
Liver echogenicity in Trpc1−/− mice was increased as early as the 7th month of age compared to age-matched wild-type controls, consistent with hepatic steatosis. Repeat ultrasound at 11th month demonstrated worse hepatic steatosis with chronicity of the metabolic syndrome (Table 5). Trpc1−/− mice, n=32 similarly had increased echogenicity compared to 29 control littermates at 12 months (45.1±3.0 vs 34.9±1.8, n=29, P<0.01). At 12 months of age, liver density in heterozygous mice was 34.6, lower than Trpc1−/− mice, P<0.05, but not different from littermate wild-type controls. At 17 months, liver density was elevated in Trpc1−/− mice (61.0±4.5, n=13 vs 46.1±4.3, n=7 wild-type controls, P<0.05). In Trpc1+/− mice, liver density was intermediate in values (60.0±7, n=8), though not significantly different from either the wild-type controls or from the homozygous null mice (data not shown). Liver weights were 36% heavier in the Trpc1−/−mice, n=8, vs wild-type controls, n=7, (1.267±0.034 vs 0.933±0.041) at 9 weeks of age, P<0.001. Accordingly, the ratio of liver weight to body weight (mg/g) was 13% greater in Trpc1−/−mice (44.8±1.0) than the wild-type controls (39.7±1.0) (P<0.005). Total liver triglycerides were elevated in 2-month-old Trpc1−/−mice, 9.45±0.58 vs 6.4±0.68 mg/total liver, P<0.005. Liver triglyceride concentration (µg/mg of liver) was not different at this age. However, the increased liver weight accounted for the elevated total liver triglycerides. At 18 months, Trpc1−/−mice had elevated liver triglycerides (21.1±1.6 vs 11.0±3.7 mg triglyceride/g liver, P<0.04). Liver triglycerides in Trpc1+/− mice were 13.4±2.3, P<0.02 vs null, but not different from controls. Liver weights were not different in this group at this age; however, total liver triglyceride level was elevated by 107% (26.9±2.8 vs 13.01±5.1, P<0.05). In Trpc1+/− mice, total triglyceride level (17.4±6.0 mg/g liver) was intermediate between nulls and wild-type controls, but not different from either Trpc1−/−mice or wild-type controls (data not shown). Liver cholesterol, not shown, was not different (data not shown).
Table 5.
Systemic blood pressure
Hypertension is a part of the WHO criteria for metabolic syndrome. Our Trpc1−/−mice did not develop systemic hypertension. At 10, 12 and 20 months of age, mean arterial blood pressure measured by the tail-cuff method was in fact lower in Trpc1−/−mice (Table 5). On average, mean arterial blood pressure was 82 mm Hg in Trpc1−/−mice vs 100 mm of Hg in age-matched wild type control (P<0.001). Similar findings were obtained by direct blood pressure measurement via intra-arterial cannulation at the time of sacrifice (Table 5), confirming the absence of hypertension in Trpc1−/−mice. Though this is superficially at odds with the traditional or classical definition of metabolic syndrome, the absence of hypertension in the Trpc1−/− mice despite expression of other salient features of metabolic syndrome including obesity, glucose intolerance, insulin resistance, and hyperlipidemia, could be due to the lack of the principal or primary gene product(s) responsible for hypertension in Trpc1−/− mice. Indeed, studies have been published that show the close and parallel relationships between TRPC and hypertension (Schmidt et al., 2010; Kennedy et al., 2010).
Hematocrit
Trpc1−/−mice had mild anemia in both genders (Tables 1,2), beginning at 2–3 months of age, in the absence of renal failure (Onopiuk et al., 2020) and through the last point of observation in our studies (13.5 months). The anemia may contribute to the absence of hypertension, although such an interpretation is at present conjectural without additional evidence (Cinar et al., 1999; Cirillo et al., 1992). Although conflicting, both anemia and elevated hematocrit have been observed in metabolic syndrome. (Feng et al., 2020; Huang et al., 2018; Kelem et al., 2023; Timerga et al., 2022; Wu et al., 2013)
DISCUSSION
We have described a mouse phenotype that mimics metabolic syndrome, currently defined by the expression of a combination of three or more of the following five criteria: hyperinsulinemia, central obesity, dyslipidemia, hypertension, and hyperglycemia (Huang, 2009). Our Trpc1−/−mice demonstrate the following four features: increased body weight, elevated plasma glucose, increased plasma insulin, and hyperlipidemia. In fact, paradoxically, the Trpc1−/−mice had mild hypotension measured by both the indirect tail cuff method and by direct intra-arterial recordings. Lower blood pressure in Trpc1−/−mice has previously been found (Schmidt et al., 2010). Cases of metabolic syndrome without hypertension have also been reported in humans and in mice (Hong et al., 2015; Kennedy et al., 2010). The co-existence of several cardiovascular metabolic risk factors, including diabetes, abdominal obesity, and dyslipidemia, empirically observed in the phenotypes of the Trpc1−/−mice supports the hypothesis of metabolic syndrome. The TRPC superfamily comprises various cation-permeant channels shown to be involved in signal transduction, cell activation and metabolism. Some members have previously been implicated in or linked to obesity, dyslipidemia, and diabetes, several features often grouped under the name ‘metabolic syndrome’. Our findings support this concept. TRPC1 was the first TRPC channel cloned and identified in the pancreatic beta cells. Its expression has been shown to be reduced in diabetes (Zhang et al., 2009; Niehof and Borlak, 2008), although the precise relationship was unclear. Obesity, particularly abdominal obesity, is associated with resistance to the action of insulin on peripheral glucose and fatty acid use, often leading to type 2 diabetes mellitus. Insulin resistance, the associated increase in insulin, hyperglycemia, and the disturbed metabolism of adipocyte cytokines may also lead to vascular endothelial dysfunction, abnormal lipid profile, and vascular inflammation, all of which predispose the individual to the development of cardiovascular diseases and/or the metabolic syndrome, the deadly quartet, or the obesity dyslipidemia syndrome. Thus it has been proposed that the TRPC channels could play a key role in the metabolic syndrome. Our present results are consistent with this hypothesis. After all, it has recently been shown that constitutively active TRPC channels of adipocytes confer a mechanism for sensing dietary fatty acids and regulating adiponectin (Sukumar et al., 2012). Protein kinase C (PKC) promotes insulin secretion via TRPC phosphorylation in INS-1E cells (Xu et al., 2019). Reduced expression of TRPC1 has been reported in diabetic nephropathy (Niehof and Borlak, 2008). Here, we tested the hypothesis raised by Liu et al. (2008) that homozygous TRPC gene deletion could produce metabolic syndrome in mice. Results of our current experiments in TRPC-null mice would support this hypothesis.
The role of TRPC1 in adiponectin secretion, body composition and adipose tissue has been studied extensively and TRPC1 was found to play a key role (Schaar et al., 2019; Schaar, 2018). TRPC1 was shown to regulate brown fat tissue activity (Wolfrum et al., 2018). It has been proposed that leptin excites pro-opio-melanocortin neurons through TRPC1 channels (Qui et al., 2010; Perissinotti et al., 2021). Cytokine leptin and leptin receptors are both involved in appetite regulation. This could account for the increased appetite observed in our Trpc1−/− mice.
Trpc1−/−mice
The homeostatic model assessment of insulin resistance (HOMA-IR) and beta cell function (HOMA-beta) were reported in 1985 (Matthews et al., 1985) to distinguish between insulin resistance and insulin deficiency from beta cell defects. Limitations of the homeostatic model have been discussed (Kang et al., 2005; Wallace et al., 2004). This model is however validated in rats (Antunes et al., 2016). It assumes beta cell function of 100% and insulin resistance of 1. Mice often have a fasting glucose level lower than that in humans; we therefore modified the formula for calculating beta cell function in mice but applied the same formula to both wild-type and Trpc1−/− mice. HOMA-IR in Trpc1−/−mice indicated they had insulin resistance and HOMA-beta cell function showed no differences.
Nonalcoholic liver disease (NASH) is a common cause of chronic liver disease (Ogasawara et al., 2011), making it ideal if not necessary to have animal models to study this syndrome. In NASH, excess fat accumulates in the liver (Takahashi et al., 2012). Liver fatty acids have been analyzed in Trpc1−/−mice. The liver profile was reported to be similar to an obese phenotype (Schaar, 2018). Livers in our Trpc1−/−mice were more echogenic. We found increased liver weight and increased ratio of liver / body weight. In addition, Trpc1−/−mice had increased liver triglyceride concentration at sacrifice and increased total liver triglycerides. Ca signaling has been reviewed and proposed as a therapeutic target in NASH (Ali and Petrovsky, 2019).
Calcium ion plays a pivotal role in various cellular processes including muscle contraction, release of transmission signals, cell proliferation, gene transcription, and even cell demise. Our studies suggest that the absence of TRPC channels could create the condition of metabolic syndrome. TRP channels play an important role in the regulation of cytosolic free Ca2+ either by acting as Ca2+ entry pathways in the plasma membrane, or by changes in membrane potential, curbing the driving force for Ca2+ entry mediated by alternative pathways. TRP channels also form intracellular pathways for Ca2+ release from several cell organelles. Given the exceptional importance of Ca2+ signaling in virtually all cell processes, it is not surprising that dysfunctions in Ca channels are causal to, or at least involved in, the pathogenesis of several disease disorders. We recently described Trpc1−/−mice presenting a syndrome similar to that of familial hypocalciuric hypercalcemia (FHH) in man (Onopiuk et al., 2020; Eby et al., 2022). However until our experiments, with respect to the TRP channels, there are at present only a few conditions that can be strictly qualified as “channelopathy”, in which a defect in channel function is the established or proven direct or unequivocal cause of the disease. In general, TRPC members can be considered as channels activated subsequent to stimulation of receptors that activate different isoforms of phospholipase C (PLC)-beta. TRPC3, −6, and −7 are galvanized by diacylglycerol (DAG), independent of the stimulation of protein kinase C, suggesting that DAG mediates their physiological activation. In contrast, TRPC1, −4, and −5, which are also activated by receptor-induced PLC, are mostly unresponsive to DAG. However, the mechanism by which PLC stimulation leads to activation of these channels remains poorly defined.
MATERIALS AND METHODS
Animals
Age-matched male Trpc1+/+ mice and Trpc1−/−mice on pure 129S/SvEv backgrounds were obtained, respectively, from Taconic Farms (Germantown, NY, USA) or Jackson Labs (Bar Harbor, ME, USA) or in-house from controls breeder pairs obtained from Taconic Farms and as a gift from Lutz Birnbaumer (Liu et al., 2007). They were studied from the 7th to 23rd months following established methods (Lau and Eby, 1982; He et al., 2017; Reininger et al., 2010). To evaluate the possible effect of differential food intake by pregnant and nursing dams between different genotypes on perinatal growth and to exclude this as a confounding variable, litter mates Trpc1 wild-type (Trpc1+/+ mice), Trpc1 heterozygote (Trpc1+/−mice) and Trpc1-null (Trpc1−/−mice) mice, bred from the same hetero-zygotic parents and nursed by the same hetero-zygotic dams, were also studied. These littermate progenies were studied from 1st–18th month. All mice were housed in IACUC-approved facility with 12 h:12 h day:night cycles and fed regular mouse chow (Purina) and tap water ad libitum. Serial body weights were monitored weekly. Food and fluid intakes were evaluated in individual metabolic cages while undergoing a 24-h urine collection as a part of the metabolic studies. Tail blood, fasted or non-fasted as appropriate, was obtained at designated times. The protocols were reviewed and approved by University of Oklahoma Health Sciences IACUC committee (IACUC # 14-11-NSR, 10-170-H, 08-0050H and 04-159-R).
Glucose tolerance tests
Blood glucose was measured by glucose strips (ReliOn Ultima blood glucose strips, ABBOTT DIABETES CARE) and insulin by mouse enzyme-linked immunosorbent assay (ELISA) (Alpco, Crystal Chem). A 6 h glucose tolerance test was performed after a 16 h overnight fast at 7:00–8:00 AM and by an intraperitoneal injection of 2 mg glucose per g body weight as previously described (Andrikopoulos et al., 2008). HOMA1-IR and HOMA-beta cell functions were calculated based on established formulae (Ascaso et al., 2003; Festa et al., 2008).
Blood analysis
Cholesterol and triglycerides were analyzed enzymatically (Thermo Fisher Scientific) by plate readers. Adiponectin, leptin, C-peptide, glucagon and insulin were measured using corresponding ELISA kits obtained from Crystal Chem (USA).
Blood pressure
Blood pressure was measured by the tail cuff method and confirmed later after euthanasia by direct intra-arterial monitoring via an indwelling catheter, as previously described (Lau and Eby, 1982; He et al., 2017; Reininger et al., 2010; Xie et al., 2011). In the 9th month, mice were trained to get systolic and diastolic blood pressures measured by the tail cuff method using a computerized automated system dependent on a laser sensor Visitech Systems blood pressure 2000 tail cuff system (Visitech Systems, NC, USA). Mean blood pressure was calculated as [(2×diastolic)+systolic]/3 since 2/3 of the cardiac cycle is diastole. Tail cuff blood pressure was measured at 10, 12 and 20 months. When euthanized at 22.5 months, under pentobarbital anesthesia, tracheostomy was performed, followed by cannulation of the carotid artery for blood sampling and for intra-arterial blood pressure measurements using a Hewlett Packard pressure transducer as previously described (Lau et al., 1986a,b).
Ultrasound
Liver and kidney density were studied by ultrasound (Philips Agilent technology ultrasound system) with a 15 L-8 MHz transducer, in mice which were lightly anesthetized by using a mixture of 1.5% isoflurane and 0.5 L/min O2 (Xei et al., 2011;Pollard et al., 2006; Benjamin et al., 2017; Han et al., 2014). To optimize sound conduction, skin hair was removed with depilatory cream. Images were obtained from longitudinal and transverse sections of both the right and left kidneys in each animal. Echogenicity was determined on a longitudinal image including the right kidney and liver. Density was measured using Image J software (Schneider et al., 2013). Liver density was determined at 7, 11, and 22 months in age-matched males and also in 12- and 17-month-old littermates.
Liver lipids
At sacrifice, the livers were removed and total wet organ weights were obtained. Weights were expressed as both total organ weight and as organ weight per g body weight. Organs were stored at −80°C until analyzed. Triglycerides and cholesterol were extracted from weighed pieces of minced liver, using chloroform: methanol extraction as previously described (Bligh and Dyer, 1959). Triglycerides and cholesterol were measured enzymatically (Thermo Fisher Scientific).
Statistical analysis
All results are presented as mean±standard error of the mean (s.e.m.) and were compared using Students’ t-test or analysis of variance (ANOVA), as appropriate.
Acknowledgements
We appreciate the assistance of Drs Ezza Tariq and Uzma Hajiyani in conducting some of these experiments. We would like to thank Dr Lutz Birnbaumer for the gifts of the initial breeding pair of TRPC1-knock-out mice.
Footnotes
Author contributions
Conceptualization: M.P., M.B.M., B.E., U.K., K.L.; Methodology: R.M.A., M.P., C.S., A.K.L., L.B., M.B.M., M.M.A., U.K., K.L.; Validation: R.M.A., M.P., C.S., A.K.L., M.M.A., B.E., K.L.; Formal analysis: R.M.A., M.P., C.S., L.B., M.B.M., M.M.A., B.E., K.L.; Investigation: M.P., A.K.L., M.B.M., M.M.A., B.E., L.T., K.L.; Resources: K.L.; Data curation: R.M.A., M.P., C.S., A.K.L., L.B., M.B.M., M.M.A., B.E., U.K., K.L.; Writing - original draft: U.K., K.L.; Writing - review & editing: R.M.A., B.E., L.T., K.L.; Supervision: A.K.L., B.E., U.K., K.L.; Project administration: K.L.; Funding acquisition: L.T.
Funding
The work was supported in part by NIH grant DK121656 (to L.T.) and a grant from the Oklahoma Fraternal Order of Eagles (to K.L.). Open Access funding provided by the University of Oklahoma Health Sciences Center. Deposited in PMC for immediate release.
Data availability
All relevant data can be found within the article.
References
- Abramowitz, J. and Birnbaumer, L. (2009). Physiology and pathophysiology of canonical transient receptor potential channels. FASEB J. 23, 297-328. 10.1096/fj.08-119495 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ahern, G. P. (2013). Transient receptor potential channels and energy homeostasis. Trends Endocrinol. Metab. 24, 554-560. 10.1016/j.tem.2013.06.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ali, E. S. and Petrovsky, N. (2019). Calcium signaling as a therapeutic target for liver steatosis. Trends Endocrinol. Metab. 30, 270-281. 10.1016/j.tem.2019.02.005 [DOI] [PubMed] [Google Scholar]
- Ambudkar, I. S. (2007). TRPC: a core component of store-operated calcium channels. Biochem. Soc. Trans. 35, 96-100. 10.1042/BST0350096 [DOI] [PubMed] [Google Scholar]
- Andrikopoulos, S., Blair, A. R., Deluca, N., Fam, B. C. and Proietto, J. (2008). Evaluating the glucose tolerance test in mice. Am. J. Physiol. Endocrinol. Metab. 295, E1323-E1332. 10.1152/ajpendo.90617.2008 [DOI] [PubMed] [Google Scholar]
- Antunes, L. C., Elkfury, J. L., Jornada, M. N., Foletto, K. C. and Bertoluci, M. C. (2016). Validation of HOMA-IR in a model of insulin-resistance induced by a high-fat diet in Wistar rats. Arch. Endocrinol. Metab. 60/2, 138-142. 10.1590/2359-3997000000169 [DOI] [PubMed] [Google Scholar]
- Ascaso, J. F., Pardo, S., Real, J. T., Lorente, R. I., Priego, A. and Carmena, R. (2003). Diagnosing insulin resistance by simple quantitative methods in subjects with normal glucose metabolism. Diabetes Care 26, 3320-3325. 10.2337/diacare.26.12.3320 [DOI] [PubMed] [Google Scholar]
- Beech, J. D. (2005). TRPC1: store-operated channel and more. Pflugers Arch. Eur. J. Physiol. 451, 53-60. 10.1007/s00424-005-1441-3 [DOI] [PubMed] [Google Scholar]
- Beech, D. J., Xu, S. Z., McHugh, D. and Flemming, R. (2003). TRPC1 store-operated cationic channel subunit. Cell Calcium 33, 433-440. 10.1016/S0143-4160(03)00054-x [DOI] [PubMed] [Google Scholar]
- Benjamin, A., Zubajlo, R., Thomenius, K., Dhyani, M., Kaliannan, K., Samir, A. E., Brian, W. and Anthony, B. W. (2017). Non-invasive diagnosis of Non-Alcoholic Fatty Liver Disease (NAFLD) using ultrasound image echogenicity. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 2017, 2920-2923. 10.1109/EMBC.2017.8037468 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bligh, E. G. and Dyer, W. J. (1959). A rapid method of total lipid extraction and purification. Can. J. Biochem. Physiol. 37, 911-917. 10.1139/o59-099 [DOI] [PubMed] [Google Scholar]
- Chen, K., Jin, X., Li, Q., Wang, W., Wang, Y. and Zhang, J. (2013). Association of TRPC1 gene polymorphisms with Type 2 diabetes and diabetic nephropathy in Han Chinese population. Endocr. Res. 38, 59-68. 10.3109/07435800.2012.681824 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chung, A. W. Y., Yeung, K. A., Chum, E., Okon, E. B. and van Breeman, C. (2009). Diabetes modulates capacitative calcium entry and expression of transient receptor potential canonical channels in human saphaneus vein. Eur. J. Pharmacol. 613, 114-118. 10.1016/j.ejphar.2009.04.029 [DOI] [PubMed] [Google Scholar]
- Cinar, Y., Demir, G., Pac, M. and Cinar, A. B. (1999). Effect of hematocrit on blood pressure via hyperviscosity. Am. J. Hypertens. 12, 739-743. 10.1016/s0895-7061(99)00011-4 [DOI] [PubMed] [Google Scholar]
- Cirillo, M., Laurenzi, M., Trevisan, M. and Stamler, J. (1992). Hematocrit, blood pressure, and hypertension. The Gubbio Population Study. Hypertension 20, 319-326. 10.1161/01.HYP.20.3.319 [DOI] [PubMed] [Google Scholar]
- Eby, B., Lau, A. K., Pantalia, M., Khan, U., Lau, K., Wang, X., Ning, J., Xiang, Z., Wang, X. and Chen, T.et al. (2022). Syndrome similar to Familial Hypocalciuric Hypercalcemia (FHH) produced in mice deleted of the gene encoding transient receptor potential canonical channel 1 (TRPC1). Novel J. Biomed. Res. 3, 1-2. 10.46439/biomedres.3.016 [DOI] [Google Scholar]
- Feng, L., Chen, H., Chen, J., Xiong, C., Shao, X., Wang, X., Ning, J., Xiang, Z., Wang, X., Chen, T.et al. (2020). The product of red blood cells and hematocrit can be used as a novel indicator of impaired fasting glucose status. Diabetes Metab. Syndr. Obes. 13, 4007-4015. 10.2147/DMSO.S270276 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Festa, A., Williams, K., Hanley, A. J. G. and Haffner, S. M. (2008). Beta- cell dysfunction in subjects with impaired glucose tolerance and early type 2 diabetes. Diabetes 57, 1638-1644. 10.2337/db07-0954 [DOI] [PubMed] [Google Scholar]
- Han, A., Erdman, J. W. Jr., Simpson, D. G., Andre, M. P. and O'Brien, W. D., Jr. (2014). Early detection of fatty liver disease in mice via quantitative ultrasound. In: IEEE International Symposium Proceedings, pp. 2363-2366. ISBN 9781479970490. [Google Scholar]
- He, X., Cheng, R., Park, K., Benyatati, S., Moiseyev, G., Sun, C., Olson, L. E., Yang, Y., Eby, B., Lau, K.et al. (2017). Pigment epithelium-derived factor, a non-inhibitory serine protease inhibitor, is renoprotective by inhibiting the Wnt pathway. Kidney. Int. 91, 642-657. 10.1016/j.kint.2016.09.036 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hong, D., Zhang, Y., Gao, B., Wang, J., Li, G., Wang, L. and Zhang, L. (2015). Metabolic syndrome without diabetes or hypertension still necessitates early screening for chronic kidney disease: information from a chinese national cross-sectional study. PLoS One 10, E0132220. 10.1371/journal.pone.0132220 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hu, G., Oboukhova, E. A., Kumar, S., Sturek, M. and Obukhov, A. G. (2009). Canonical transient receptor potential channels expression is elevated in a porcine model of metabolic syndrome. Mol. Endocrinol. 23, 689-699. 10.1210/me.2008-0350 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huang, P. L. (2009). A comprehensive definition of metabolic syndrome. Dis. Model. Mech. 2, 231-237. 10.1242/dmm.001180 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huang, L. L., Dou, D.-M., Liu, N., Wang, X. X., Fu, L.-Y., Wu, X. and Wang, P. (2018). Association of erythrocyte parameters with metabolic syndrome in the Pearl River Delta region of China: a cross sectional study. BMJ Open. 8, e019792. 10.1136/bmjopen-2017-019792 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kang, E. S., Yun, Y. S., Park, S. W., Kim, H. J., Ahn, C. W., Song, Y. D., Cha, B. S., Lim, S. K., Kim, K. R. and Lee, H. C. (2005). Limitation of the validity of the homeostatic model assessment as an index of insulin resistance in Korea. Metab. Clin. Exp. 54, 206-211. 10.1016/j.metabol.2004.08.014 [DOI] [PubMed] [Google Scholar]
- Kelem, A., Shiferaw, E. and Adane, T. (2023). Hematological abnormalities and associated factors among metabolic syndrome patients at the University of Gondar comprehensive specialized hospital, Northwest Ethiopia. PLoS One 18, e0286163. 10.1371/journal.pone.0286163 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kennedy, A. J., Ellacott, K. L. J., King, V. L. and Hasty, A. H. (2010). Mouse models of the metabolic syndrome. Dis. Model. Mech. 3, 156-166. 10.1242/dmm.003467 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Krout, D., Schaar, A., Sun, Y., Sukumaran, P., Roemmich, J. N., Singh, B. B. and Claycombe-Larson, K. J. (2017). The TRPC1 Ca2+- permeable channel inhibits exercise-induced protection against high-fat diet-induced obesity and type II diabetes. J. Biol. Chem. 292, 20799-20807. 10.1074/jbc.M117.809954 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lau, K. and Eby, B. (1982). Tubular mechanism for the spontaneous hypercalciuria in laboratory rat. J. Clin. Invest. 70, 835-844. 10.1172/JCI110680 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lau, K., Langman, C. B., Gafter, U., Dudeja, P. K. and Brasitus, T. A. (1986a). Increased calcium absorption in prehypertensive spontaneously hypertensive rat. Role of serum 1, 25–dihydroxyvitamin D3 levels and intestinal brush border membrane fluidity. J. Clin. Invest. 78, 1083-1090. 10.1172/JCI112664 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lau, K., Gafter, U., Rydell, D., Eby, B., Pesigan, M., Tropp, I., Garno, J. and Zikos, D. (1986b). Evidence against the role of calcium deficiency in genetic hypertension. Hypertension. 8, 45-49. 10.1161/01.hyp.8.1.45 [DOI] [PubMed] [Google Scholar]
- Lessa, A. S., Paredes, B. D., Dias, J. V., Carvalho, A. B., Quintaniha, L. F., Takiya, C. M., Tura, B. R., Rezende, G. F. M., de Carvalho, A. C. C., Resende, C. M. C.et al. (2010). Ultrasound imaging in an experimental model of fatty liver disease and cirrhosis in rats. BMC Vet. Res. 6, 6. http//www.biomedcentral.com/1746-6148/6/6 10.1186/1746-6148-6-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu, X., Cheng, K. T., Bandyopahyay, B. C., Pani, B., Dietrich, A., Paria, B. C., Swaim, W. D., Beech, D., Yildrim, E., Singh, B. B.et al. (2007). Attenuation of store-operated Ca2+ current impairs salivary gland fluid secretion in TRPC1 (-/-) mice. Proc. Natl. Acad. Sci. USA 104, 17542-17547. 10.1073/pnas.0701254104 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu, D., Zhu, Z. and Tepel, M. (2008). The role of transient receptor potential channels in metabolic syndrome. Hypertens. Res. 31, 1989-1995. 10.1291/hypres.31.1989 [DOI] [PubMed] [Google Scholar]
- Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F. and Turner, R. C. (1985). Homeostatic model assessment: insulin resistance and beta cell function from fasting glucose and insulin concentration in man. Diabetologia 28, 412-419. 10.1007/BF00280883 [DOI] [PubMed] [Google Scholar]
- Montell, C. and Rubin, G. M. (1989). Molecular characterization of the Drosophila trp locus: a putative integral membrane protein required for phototransduction. Neuron 2, 1313-1323. 10.1016/0896-6273(89)90069-x [DOI] [PubMed] [Google Scholar]
- Nesin, V. and Tsiokas, L. (2014). TRPC1. Handb. Exp. Pharmacol. 222, 15-51. 10.1007/978-3-642-54215-2_2 [DOI] [PubMed] [Google Scholar]
- Niehof, M. and Borlak, J. (2008). HNF4 and the Ca-channel TRPC1 are novel disease candidate genes in diabetic nephropathy. Diabetes 57, 1069-1077. 10.2337/db07-1065 [DOI] [PubMed] [Google Scholar]
- Nilius, B., Owsianik, G., Voets, T. and Peters, J. A. (2007). Transient receptor potential cation channels in disease . Physiol. Rev. 87, 165-217. 10.1152/physrev.00021.2006 [DOI] [PubMed] [Google Scholar]
- Ogasawara, M., Hirose, A., Ono, M., Aritaki, K., Nozaki, Y., Takahashi, M., Okamoto, N., Sakamoto, S., Iwasaki, S., Asanuma, T.et al. (2011). A novel and comprehensive mouse model of human non-alcoholic steatohepatitis with the full range of dysmetabolic and histological abnormalities induced by gold thioglucose and high-fat diet. Liver Int. 31, 542-551. 10.1111/j.1478-3231.2010.02443.x [DOI] [PubMed] [Google Scholar]
- Onopiuk, M., Eby, B., Nesin, V., Ngo, P., Lerner, M., Gorvin, C. M., Stokes, V. J., Thakker, R. V., Brandi, M. L., Chang, W.et al. (2020). Control of PTH secretion by the TRPC1 ion channel. JCI Insight 5, e132496. 10.1172/jci.insight.132496 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Perissinotti, P. P., Martinez-Hernadez, E. and Piedras-Renteria, E. S. (2021). TRPC1/5-Cav3 complex mediates leptin-induced excitability in hypothalamic neurons. Front. Neurosci. 15, 679078. 10.3389/fnins.2021.679078 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pollard, R., Yunis, R., Kultz, D., Martin, P., Griffey, S. and Ferrara, K. (2006). Ultrasound detection and characterization of polycystic kidney disease in a mouse model. Comp. Med. 56, 215-221. [PubMed] [Google Scholar]
- Qui, J., Fang, Y., Ronnekleiv, O. K. and Kelley, M. J. (2010). Leptin excites proopiomelanocortin neurons via activation of TRPC channels. J. Neurosci. 30, 1560-1565. 10.1523/JNEUROSCI.4816-09.2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Reiniger, N., Lau, K., McCalla, D., Eby, B., Cheng, B., Lu, Y., Qu, W., Quadri, N., Ananthakrishnan, R., Furmansky, M.et al. (2010). Deletion of the receptor for advanced glycation end products reduces glomerulosclerosis and preserves renal function in the diabetic OVE26 mouse. Diabetes 59, 2043-2054. 10.2337/db09-1766 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sabourin, J., Le Gal, L., Saurwein, L., Haefliger, J.-L., Raddatz, E. and Allagnat, F. (2015). Store-operated Ca 2+ entry mediated by Orai 1 and TRPC1 participates to insulin secretion in rat B-cells. J. Biol. Chem. 290, 30530-30539. 10.1074/jbc.M115.682583 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schaar, A. (2018). Trpc1-Mediated Ca2+ Entry Regulates Metabolism By Modulating Adipose Differentiation, Autophagy, And Adiponectin Secretion. Thesis and Dissertations. 2334. https://commons.und.edu/thesis/2334. [Google Scholar]
- Schaar, A., Sun, Y. S., Sukumaran, P., Rosenberger, T. A., Krout, D., Roemmich, J. N., Birnbaumer, L., Claycombe-Larson, K. and Singh, B. B. (2019). Ca2+ entry via TRPC1 is essential for cellular differentiation and modulates secretion via the SNARE complex. J. Cell Sci. 132, jcs231878. 10.1242/jcs.231878 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schmidt, K., Dubrovska, G., Nielsen, G., Fesüs, G., Uhrenholt, T. R., Hansen, P. B., Gudermann, T., Dietrich, A., Gollasch, M., de Wit, C.et al. (2010). Amplification of EDHF-type vasodilations in TRPC1-deficient mice. Br. J. Pharmacol. 161, 1722-1733. 10.1111/j.1476-5381.2010.00985.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schneider, C. A., Rasband, W. S. and Eliceiri, K. W. (2013). NIH Image to image J: 25 years of image analysis. Nat. Methods 9, 671-675. 10.1038/nmeth.2089 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sukumar, P., Sedo, A., Li, J., Wilson, L. A., O'Regan, D., Lipiat, J. D., Porter, K. E., Kearney, M. T., Ainscough, J. F. X. and Beech, D. J. (2012). Constitutively active TRPC channels of adipocytes confer a mechanism for sensing diet fatty acids and regulating adiponectin. Circ. Res. 111, 191-200. 10.1161/CIRCRESAHA.112.270751 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Takahashi, Y., Soejima, Y. and Fukusato, T. (2012). Animal Models of nonalcoholic fatty liver disease nonalcoholic steatohepatitis. World J. Gastroenterol. 18, 2300-2308. 10.3748/wjg.v18.i19.2300 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Timerga, A., Haile, K. and Dessu, S. (2022). Anemia and associated factors among patients admitted with metabolic syndromes at Worabe Comprehensive Specialized Hospital, Southern Ethiopia: a cross-sectional study. PLoS One 17, e0266089. 10.1371/journal.pone.0266089 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wallace, T. M., Levy, J. C. and Matthews, D. R. (2004). Use and abuse of HOMA modeling. Diabetes Care 27, 1487-1495. 10.2337/diacare.27.6.1487 [DOI] [PubMed] [Google Scholar]
- Wes, P. D., Chevesich, J., Jeromin, A., Rosenberg, C., Stetten, G. and Montell, C. (1995). TRPC1, a human homolog of a Drosophila store-operated channel. Proc. Natl. Acad. Sci. USA 92, 9652-9656. 10.1073/pnas.92.21.9652 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wolfrum, C., Kiehlmann, E. and Pelczar, P. (2018). TRPC1 regulates brown adipose tissue activity in a PPAR (gamma)- dependent manner. Am. J. Physiol. Endocrinol. Metab. 315, E825-E832. 10.1152/ajpendo.00170.2017 [DOI] [PubMed] [Google Scholar]
- Wong, S. K., Chin, K. Y., Suhaimi, F. H., Fairus, A. and Ima-Nirwana, S. (2016). Animal models of metabolic syndrome: a review. Nutr. Metab. 13, 65. 10.1186/s12986-016-0123-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu, S., Lin, H., Zhang, C., Zhang, Q., Zhang, D., Zhang, Y., Meng, W., Zhu, Z., Tang, F., Xue, F.et al. (2013). Association between erythrocyte parameters and metabolic syndrome in urban Han Chinese: as longitudinal cohort study. BMC Public Health 13, 989-996. 10.1186/1471-2458-13-989 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xie, Z., Lau, K., Eby, B., Lozano, P., He, C., Pennington, B., Li, H., Rathi, S., Dong, Y., Tian, R.et al. (2011). Improvement of cardiac functions by chronic metformin treatment is associated with enhanced cardiac autophagy in diabetic OVE26 mice. Diabetes 60, 1770-2011. 10.2337/db10-0351 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xu, J., Zhang, W., Cui, W., Shi, B. and Wang, H. (2019). PKCα promotes insulin secretion via TRPC1 phosphorylation in INS-1E cells. Biosci. Biotechnol. Biochem. 83, 166-1682. 10.1080/09168451.2019.1617106 [DOI] [PubMed] [Google Scholar]
- Zhang, D., Freedman, B. I., Flekac, M., Santos, E., Hicks, P. J., Bowden, D. W., Efendic, S., Brismar, K. and Gu, H. F. (2009). Evaluation of genetic association and expression reduction of TRPC1 in the development of diabetic nephropathy. Am. J Nephrolol. 29, 244-251. 10.1159/000157627 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhu, X., Chu, P. B., Peyton, M. and Birnbaumer, L. (1995). Molecular Cloning of a widely expressed human homologue for the Drosophila trp gene. FEBS Lett. 373, 193-198. 10.1016/0014-5793(95)01038-g [DOI] [PubMed] [Google Scholar]