Beta-cell adaptation to metabolic stresses requires prolactin receptor signaling

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The role of prolactin receptor (PRLR) signaling in β-cell adaptation to maternal insulin resistance of pregnancy has been well demonstrated. Using transgenic mice with an inducible β-cell-specific Prlr deletion (βPrlr -/- ), we found that intact PRLR, as found in βPrlr +/+ mice, were protected from developing glucose intolerance during pregnancy, and the main mechanism responsible for this PRLR-mediated effect is the up regulation of β-cell proliferation and insulin synthesis. Interestingly, studies in male mice and humans have found a link between diminished PRLR signaling and abnormal β-cell function. We aimed to determine whether PRLR has a role in regulating β-cell function outside of pregnancy, protecting β-cell against exposure to metabolic stressors. In this study, we found that β-cell-specific PRLR reduction resulted in impaired glucose tolerance in multiparous female mice challenged with a 12-week course of high-fat diet (HFD). Unlike in pregnancy, where PRLR signaling up regulates β-cell proliferation resulting in a greater β-cell mass, we observed no difference in β-cell mass between the wild type (βPrlr +/+ ) and mutant (βPrlr -/- ) mice. In vitro glucose-stimulated insulin secretion using isolated islets from wild type (βPrlr +/+ ) and mutant (βPrlr -/- ) mice showed comparable insulin response, but βPrlr -/- mice showed blunted first-phase insulin release in vivo, although only when challenged with glucose orally and not intraperitoneally, suggesting an impairment of the incretin effect. In support of the observed defect in incretin action, we found a reduction in expression of both incretin hormone receptors, Gipr and Glp-1r , and several of their upstream regulators, such as E2f1, Nkx6 . 1, Pax6, Pparγ , and Tcf7l2 . Islets from the mutant mice also have a lower insulin content and reduced levels of genes that regulate glucose metabolism. Together, these results suggested that PRLR signaling plays an important role in preserving β-cell function in mice exposed to metabolic stress by maintaining incretin receptor expression and insulin secretory capacity in β cells.
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Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search New Results Beta-cell adaptation to metabolic stresses requires prolactin receptor signaling Daniel Lee , Raneet Kahlon , Darasimi Kola-Ilesanmi , Mahir Rahman , Carol Huang doi: https://doi.org/10.1101/2024.01.20.575603 Daniel Lee 1 Cumming School of Medicine; Department of Biochemistry and Molecular Biology, University of Calgary , Calgary, Canada , T2N 1N4 Find this author on Google Scholar Find this author on PubMed Search for this author on this site Raneet Kahlon 1 Cumming School of Medicine; Department of Biochemistry and Molecular Biology, University of Calgary , Calgary, Canada , T2N 1N4 Find this author on Google Scholar Find this author on PubMed Search for this author on this site Darasimi Kola-Ilesanmi 1 Cumming School of Medicine; Department of Biochemistry and Molecular Biology, University of Calgary , Calgary, Canada , T2N 1N4 Find this author on Google Scholar Find this author on PubMed Search for this author on this site Mahir Rahman 1 Cumming School of Medicine; Department of Biochemistry and Molecular Biology, University of Calgary , Calgary, Canada , T2N 1N4 Find this author on Google Scholar Find this author on PubMed Search for this author on this site Carol Huang 1 Cumming School of Medicine; Department of Biochemistry and Molecular Biology, University of Calgary , Calgary, Canada , T2N 1N4 Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: cthuang{at}ucalgary.ca Abstract Full Text Info/History Metrics Preview PDF Abstract The role of prolactin receptor (PRLR) signaling in β-cell adaptation to maternal insulin resistance of pregnancy has been well demonstrated. Using transgenic mice with an inducible β-cell-specific Prlr deletion (βPrlr -/- ), we found that intact PRLR, as found in βPrlr +/+ mice, were protected from developing glucose intolerance during pregnancy, and the main mechanism responsible for this PRLR-mediated effect is the up regulation of β-cell proliferation and insulin synthesis. Interestingly, studies in male mice and humans have found a link between diminished PRLR signaling and abnormal β-cell function. We aimed to determine whether PRLR has a role in regulating β-cell function outside of pregnancy, protecting β-cell against exposure to metabolic stressors. In this study, we found that β-cell-specific PRLR reduction resulted in impaired glucose tolerance in multiparous female mice challenged with a 12-week course of high-fat diet (HFD). Unlike in pregnancy, where PRLR signaling up regulates β-cell proliferation resulting in a greater β-cell mass, we observed no difference in β-cell mass between the wild type (βPrlr +/+ ) and mutant (βPrlr -/- ) mice. In vitro glucose-stimulated insulin secretion using isolated islets from wild type (βPrlr +/+ ) and mutant (βPrlr -/- ) mice showed comparable insulin response, but βPrlr -/- mice showed blunted first-phase insulin release in vivo, although only when challenged with glucose orally and not intraperitoneally, suggesting an impairment of the incretin effect. In support of the observed defect in incretin action, we found a reduction in expression of both incretin hormone receptors, Gipr and Glp-1r , and several of their upstream regulators, such as E2f1, Nkx6 . 1, Pax6, Pparγ , and Tcf7l2 . Islets from the mutant mice also have a lower insulin content and reduced levels of genes that regulate glucose metabolism. Together, these results suggested that PRLR signaling plays an important role in preserving β-cell function in mice exposed to metabolic stress by maintaining incretin receptor expression and insulin secretory capacity in β cells. Introduction Pancreatic β cells release insulin upon nutrient intake to regulate glucose homeostasis. Diabetes ensues when insulin output fails to match insulin demand. Pregnant mothers develop insulin resistance to divert nutrients to the fetus. In order to maintain normal serum glucose, maternal pancreatic islets need to secrete more insulin to meet this increased insulin demand 1 . Pregnancy-induced β-cell adaptation includes β-cell hyperplasia, hypertrophy, increased insulin synthesis, lowered threshold for glucose stimulated insulin secretion (GSIS), and blocking apoptosis 2 , 3 . Previous work has identified prolactin receptor (PRLR) as a key regulator of β-cell proliferation, survival, and insulin release in response to the elevated insulin demand during pregnancy 4 - 7 . We reported in vivo evidence that PRLR signaling is required for increasing β-cell mass to increase insulin synthesis capacity during pregnancy to stave off gestational diabetes (GDM) 4 , 8 , mainly by up regulating β-cell replication, engaging pro-proliferative signaling molecules, namely IRS-2, pAKT, pJAK2/pSTST5, MENIN, and p21 5 . We also identified Lrrc55 (Leucine Rich Repeat Containing 55), a putative γ-subunit of the Big Potassium channel 9 , as a novel PRLR-regulated pro-survival factor in islets 10 . While most data on PRLR action in β cells came from studies in pregnancy, data on its role outside of pregnancy are emerging. Human studies found that postpartum prolactin level is positively associated with increased insulin sensitivity and lower prolactin levels is characterized by a lipidomic profile associated with high risk for developing type 2 diabetes (T2D) 11 . This is consistent with epidemiological studies showing that prolactin levels in the highest quartile of normal range is associated with the lowest T2D risk, as demonstrated in both men and women, including those with a GDM history 11 - 16 . Results from these studies and our previous work on the role of PRLR in β-cell adaptive responses prompted us to investigate PRLR’s role in β-cell adapation to metabolic stressors other than pregnancy, namely, exposure to a high-fat diet (HFD). Exposure to HFD, or the Western diet, is a common metabolic stress that places significant demand on β cells to secrete more insulin. In this study, we use a model of sequential exposure to metabolic stressors, i.e. 2-3 pregnancies, followed by a 12-week HFD, to mimic the human condition where women experiences multiple pregnancies, followed by consumption of a typical high-fat high calorie Western diet. Here, we report that when challenged with a 12-week course of HFD, multiparous female mice with an inducible, β-cell-specific deletion of prolactin receptor (βPrlr-/-) had impaired glucose tolerance in comparison to the wild type βPrlr+/+ mice. Unlike in pregnancy, β-cell proliferation had a minimal role in this adaptation. The main defect in the βPrlr-/- mice was a blunted in vivo first-phase insulin secretion and a decreased islet insulin content and incretin receptor expression. Methods Ethical approval All experimental procedures were approved by the Animal Use Review Committee at the University of Calgary in accordance with standards of the Canadian Council on Animal Care. Mice Generation of an inducible, β-cell-specific deletion of prolactin receptor (Prlr) (herein denoted as βPrlr-/-) was previously described 17 . Briefly, a promoter-driven targeting cassette was obtained from EUCOMM (The European Conditional Mouse Mutagenesis Program), electroporated into mouse ES cells, injected into CD1E wild type mouse embryos to generate chimeras. After confirmation of germline transmission, mice heterozygous for floxed exon 5 of Prlr (Prlr f+/- ) were back-crossed with C57BL/6J mice (The Jackson Laboratory) for more than 10 generations. The Prlr +/- mice were crossed with Pdx1CreER™ mice (The Jackson Laboratory), and male Pdx1CreERTM: Prlr +/- mice were crossed with female Prlr +/- to generate the homozygous conditional knockout of βPrlr-/-(Pdx1CreER™:Prlr -/- ), and control littermates (Pdx1CreER™: Prlr +/+ and Prlr +/+ ). The Pdx1CreER™:Prlr -/- were then crossed with the mT/mG reporter mice 18 . At age 8 weeks, 200mg/kg of tamoxifen (dissolved in corn oil) was given by oral gavage for 5 doses every other day to induce Cre recombinase activity 17 . Mice were maintained on a 12-h light, 12-h dark cycle with liberal access to food and water. Pregnancy: Four weeks after last dose of tamoxifen, female mice were paired with wild type males. The male was removed from the cage after the female delivered 2-3 litters of pups. Two-three weeks after their pregnancies, the multiparous female mice were placed on either a HFD where 60% of calories come from fats (Research Diets D12492) or a control diet (CD) where 10% of calories come from fat (D12450K) for 12 weeks. Glucose homeostasis Glucose tolerance tests -Overnight fasted mice were given glucose solution (20% D-glucose in water, 2g/kg body weight) orally (oral glucose tolerance test, or OGTT) or intraperitoneally (intraperitoneal glucose tolerance test, or IPGTT), and blood was sampled from tail vein at times 0, 10, 15, 30, 45, 60, and 120 minutes after to measure serum glucose using a glucometer (OneTouch Verio). Additional blood samples (∼30μl) were taken at times 0, 10 and 30 minutes from the saphenous vein for insulin concentration measurements by ELISA (CrystalChem, catalog number 90082). Non-fasted blood glucose was determined at 8am and 30μl of serum was taken simultaneously and stored at -80°C for measurement of insulin by ELISA. Insulin tolerance test (ITT) - ITT was performed in early afternoon, after a 4-6 hour fast. Insulin (0.5units/kg) was administered intraperitoneally and blood glucose was sampled from tail vein at 0, 15, 30, 45, and 60 minutes after insulin injection. Pancreas Isolation Pancreases were isolated using blunt dissection, cleaned of blood and fat, and weighed. Pancreases were fixed in 4% paraformaldehyde (PFA) at 4°C overnight with gentle agitation. Fixed pancreases were washed in phosphate buffered saline (PBS) and dehydrated in increasing concentrations of sucrose solutions (10, 20, and 30% sucrose in PBS). Pancreases were then preserved in optimal cutting temperature compound (Tissue-Tek O.C.T. Compound, VWR, catalog number 25608-930) and stored in -80°C for serial sectioning on a later date. Islet isolation Pancreatic islets were isolated as previously described 17 . Briefly, pancreas was distended by cannulizing the bile duct to infuse 2.5ml of collagenase P (0.66mg/ml in Hank’s Balanced Salt Solution) (Roche, catalog number C7657), surgically removed and incubated at 37 ° C for 15 minutes under constant agitation. Islets were hand-picked and 20 islets were cultured overnight in RPMI 1640 with glutamine (Hyclone, catalog number SH3002701) supplemented with 10% Fetal Bovine Serum (Gibco, catalog number 12483020) and 1U/100ml Penicillin-streptomycin (Gibco, catalog number 15070063) at 37°C and 5% CO 2 for in vitro glucose-stimulated insulin secretion assay the next day. The remaining islets were flash freeze and stored in -80°C for RNA or protein extraction on a later date. In vitro glucose-stimulated insulin secretion After overnight culture, 20 islets were preincubated in Krebs-Ringer Buffer (KRB) with 2mM glucose for 30 minutes, and repeated 1-2 times. To observe basal insulin secretion, islets were transferred to microcentrifuge tubes containing 300µl of 2mM Glucose/KRB, and incubated for 1 hour at 37°C and 5% CO 2 . Following one hour of incubation, supernatant (∼280µl) was collected and stored in -80°C for insulin measurement by ELISA. 300 µl of 16mM Glucose/KRB was added to the islets and incubated in the same conditions as above, and supernatant collected after 1 hour. Finally, 300 µl of 40mM KCl/2mM Glucose/KRB was added for 1 hour and supernatant was collected. Following the 40mM KCl incubation step and removal of the supernatant, 500µl of acid-ethanol (3% HCl, 75% EtOH) was added to lyse the islets and to extract insulin. The following day, 250µl of supernatant was mixed with equal volume of 1M Tris (pH=7.5) to neutralize the HCl and stored in -80°C for insulin measurement by ELISA. Total insulin was measured as the sum of insulin in supernatant collected after 2mM Glucose, 16mM Glucose, 40mM KCl, and acid-ethanol extraction. Results are presented as the percent of insulin secreted in each media condition relative to total insulin. Immunostaining The pancreas blocks were longitudinally serial sectioned to a thickness of 7 μ m. Every 20 th section was stained for insulin to identify β cells as previously described 7 . Briefly, after 1 hour of blocking with 1% goat serum/PBS at room temperature, tissues were incubated with primary antibody over night at 4 ° C (guinea pig anti-insulin at 1:4, diluted in 1% goat serum/PBS, Agilent). This was followed by 1-hour incubation with fluorophore-conjugated secondary antibodies (Cy3-anti-guinea pig, diluted in 1% goat serum/PBS at 1:300, Jackson Laboratories). Bis-benzimide H 33342 trihydrochloride (0.1 μ g/ml, Sigma) was added to the secondary antibody for nuclear staining. Stained sections were mounted using Fluoromount-G (Southern Biotech) fluorescent mounting medium and stored at 4 ° C. Islet Morphometry Consecutive images of non-overlapping, adjacent areas of the entire pancreas section were acquired using a Zeiss fluorescence microscope, and captured with a CoolSnap digital camera. Images were analyzed by ImageJ software to measure the insulin-positive area as well as the area of the entire pancreas section (identified by nuclear staining). β-cell mass was calculated by multiplying the pancreas weight by the β-cell fraction (i.e. the ratio of insulin-positive cell area to total pancreatic tissue area on the entire section). Results represent the average of 6-8 tissue sections per animal from 5-6 animals from each genotype. Islet RNA isolation and quantitative real-time q-PCR Total islet RNA (200–300 islets/mouse) was extracted using the RNeasy Mini Kit (Qiagen). RNA concentration and integrity were assessed using the ND-1000 Spectrophotometer (NanoDrop). cDNA was synthesized using the Quantitect Reverse Transcription Kit (Qiagen). Primers were designed using Primer Designing Software (NCBI) (sequences available upon request). RT-qPCR reactions were carried out in triplicate with QuantiFast SYBR Green Master Mix (Qiagen) at an annealing temperature of 60ºC. Data were collected using the DNA Engine Opticon2 Continuous Fluorescence Detection System (BioRad) and software (Bio-Rad). The relative amount of RNA was determined by comparison with inorganic pyrophosphate (Ppa1) as a reference gene. It was chosen because its expression was comparable in islets from all groups. Statistical analysis All statistics were performed using GraphPad Prism 4 software. Two-tailed Student’s t tests or ANOVA with Tukey’s post-tests were performed where appropriate. Comparisons were made between β-cell-specific Prlr-deletion mutant mice (βPrlr-/-) and the wild type littermate (βPrlr+/+), as stated in the Figure Legend. Results Intact PRLR is required for maintenance of normal glucose homeostasis in multiparous female mice exposed to a high-fat diet Prolactin receptor (PRLR) has been shown to be important for regulating glucose homeostasis during pregnancy in both whole body 4 and β-cell specific Prlr-knockout mice 17 , 19 , mainly by up regulating β-cell proliferation and increase insulin synthesis and release to compensate for the insulin resistance of pregnancy. To determine whether PRLR also plays a role in regulating glucose homeostasis and β-cell function outside of pregnancy, we exposed multiparous female mice with an inducible, β-cell-specific conditional knockout of prolactin receptor (βPrlr-/-) and their wild type (βPrlr+/+) littermates to 12 weeks of HFD ( Figure 1 ). We found that after 6 weeks of HFD, the βPrlr-/- mice had higher glucose excursion during an oral glucose tolerance test (OGTT) than their wild type littermates, a difference that persisted until the end of the 12-week HFD period ( Figure 2a-c ). There was no difference in fasting blood glucose between βPrlr+/+ and βPrlr-/- mice after 6 or 12 weeks of HFD (6 weeks -βPrlr+/+: 9.17±0.68 mM, βPrlr-/-: 7.85±0.64 mM, p=0.10; 12 weeks – WT:7.65±0.61 mM, βPrlr-/-: 8.61±0.67mM, p=0.46, n=14-20). We also observed no significant difference in non-fasting blood glucose between the two groups throughout the 12-weeks of HFD ( Figure 2d ). The higher glucose excursion observed in the βPrlr-/- mice was not due to a difference in insulin sensitivity, as we observed comparable drop in serum glucose during an insulin tolerance test (ITT) between the two groups ( Figure 2e ). Download figure Open in new tab Figure 1. Experimental Design. Both wild type and βPrlr-/-female mice were given tamoxifen at age 8 weeks, and 4 weeks later, set up for 2-3 pregnancies, then placed on a 12-week course of HFD or control diet (CD). Glucose homeostasis was measured by oral glucose tolerance test (OGTT), intraperitoneal tolerance test (IPGTT), and insulin tolerance test (ITT) at times indicated. Download figure Open in new tab Figure 2. Multiparous female βPrlr-/- mice had impaired oral glucose tolerance Glucose levels throughout an OGTT at week 6 (A) and week 12 (B) of the 12-week HFD course. Glucose excursions, measured as integrated area under the curve (AUC) across all time points throughout the 120-minutes of OGTT, are presented (C). Non-fasting blood glucose (D) were taken at 8am throughout the 12-week HFD period. (E) Insulin tolerance test was performed after an 4-6 hour fast. Results are expressed as mean + SEM. One-way ANOVA with Tukey’s post hoc test was performed to compared between βPrlr+/+ and βPrlr-/-: “*”= p<0 . 05 ,“**”= p<0 . 005 ,“***”= p<0 . 0005 ,“****”= p<0 . 00005 . For A-D, n=14-20 mice for each group; for E: n=3-18 mice/group. Blue = βPrlr+/+ mice, Orange = βPrlr-/- mice. βPrlr-/- mice secreted less insulin during an OGTT To understand the cause of the higher glucose excursion in the βPrlr-/- mice, we measured in vivo insulin secretion during an OGTT. We found no difference in serum insulin levels at time 0 or 30 minutes of the OGTT, but the βPrlr-/- mice secreted significantly less insulin at the 10-minute time point ( Figure 3a ). Insulinogenic index, calculated as the change in insulin concentration over the change in glucose concentration, was also blunted at the 10-minute time point in the βPrlr-/- mice in comparison to the βPrlr+/+ mice. Interestingly, in vitro GSIS using isolated islets showed no difference in insulin secretory responses ( Figure 3b ). This suggests that islets have no intrinsic defect in glucose-stimulated insulin secretion that can account for the impaired first-phase insulin secretory response observed in vivo in the βPrlr-/- mice. Download figure Open in new tab Figure 3. Insulin secretion after 12 weeks of HFD. (A) Plasma insulin concentrations during oral glucose tolerance tests (2g/kg) in βPrlr+/+ and βPrlr-/- mice after 12 weeks of HFD. Blood was collected at 0, 10, and 30 minutes and measured by ELISA. Results are expressed as mean + SEM (n=16-17 mice/group). (B) In vitro glucose-stimulated insulin secretion from isolated islets cultured in 2mM and then 16mM glucose, followed by 40 mM KCl. Results were normalized to total insulin content. Results are expressed as mean + SEM; (n = 8 mice/group). Statistical analysis was performed by one-way ANOVA with Tukey’s post hoc test where “ **”=p<0 . 005 βPrlr+/+ versus βPrlr-/- mice. “ns” = not significant. There is little difference in β-cell proliferation, apoptosis or mass between the βPrlr-/-and βPrlr+/+ mice During pregnancy, it has been well established that intact Prlr signaling is required for β-cell adaptation to the insulin resistance of pregnancy by up regulating β-cell proliferation, increasing β-cell mass and boosting insulin secretion 3 , 4 , 19 . To examine whether the same mechnism is responsible for the impaired glucose tolerance observed in βPrlr-/- mice after a 12-week HFD, we measured β-cell proliferation and apoptosis rates by staining β cells for ki67 and cleaved caspase 3, respectively. In contrast to our previous observation in pregnancy, where Prlr deletion significantly impacted β-cell proliferative capacity, we observed a small difference in β-cell proliferation and apoptosis rates with no significant difference in β-cell mass between βPrlr+/+ and the βPrlr-/- mice ( Figure 4 ). Therefore, the difference in glucose tolerance cannot be explained by a difference in β-cell mass, as was the case in pregnancy. Download figure Open in new tab Figure 4. Beta-cell mass after 12 weeks of HFD. (A) Proliferating β cells were identified by ki67 and insulin double positivity; at least 6000 β cells/mouse were counted. (B) Apoptotic β cells was identified by cleaved caspase 3 and insulin double positivity; at least 3000 β cells/mouse were counted. (C) β-cell mass determined from at least three sections and 6000 β cells per mouse. Each data point represents a mouse (n = 5 mice/group). Statistical analysis was performed using student’s t-test where “*”= p < 0 .05 between βPrlr+/+ and βPrlr-/- mice. βPrlr-/- mice had a lower islet insulin content and reduced incretin receptor expression To identify potential mechanism contributing to the blunted in vivo GSIS observed in βPrlr-/- mice, we measured insulin content of isolated islets. We found that in comparison to islets from βPrlr+/+ mice, islets from βPrlr-/- mice had significantly lower insulin content (βPrlr+/+: 4.4±0.8μg, βPrlr-/-: 1.8±0.2μg of insulin, normalized to DNA content, p=0.03)( Figure 5a ). This was accompanied by a reduction in expression of insulin 1 ( Ins1 ) and insulin 2 ( Ins2 ) genes ( Figure 5b ). We measured expression of MafA, NeuroD1, Pdx1 , and Nkx6 . 1 , genes that have been shown to regulate insulin gene transcription, and found a reduction in expression of all 4 genes, although only Nkx6 . 1 reached statistical significance ( Figure 5c ). We also measured expression of genes that regulate GSIS 20 , namely glucose transport 2 ( Glut2 ) 21 , glucokinase ( Gck ) 22 , and pyruvate carboxylate ( PC ) 23 , and found that their expression were also blunted in the βPrlr-/- mice ( Figure 5d ). Next, we determined the expression of incretin receptors, since incretins are potent stimulant of in vivo GSIS. Here, we found that expression of both glucagon-like peptide 1 receptor ( Glp-1r ) and glucose-dependent insulinotropic polypeptide receptor ( Gipr ) are lower in the βPrlr-/- mice ( Figure 5e ), and genes that regulate Glp-1r and Gipr expression, namely E2f1 24 , Nkx6 . 1 25 , Pax6 26 , Pparγ 27 , and Tcf7l2 28 , 29 were all down regulated in the βPrlr-/- mice ( Figure 5f ), providing a potential mechanism for the blunted in vivo first-phase insulin secretion observed in the βPrlr-/- mice. This suggests a blunted incretin action, supported by our observation that glucose excursion was comparable during an IPGTT between βPrlr+/+ and βPrlr-/- mice (data not shown) while glucose excursion was higher in βPrlr-/- mice during an OGTT, as OGTT but not IPGTT induces a robust glucose-stimulated incretin release and incretin-augmented insulin release. Moreover, while we observed a blunted insulin response at time 10-minute of OGTT in βPrlr-/- mice ( Figure 3a ), there was no difference in plasma insulin levels at any time point throughout an IPGTT ( Figure 5g ). Expression of a downstream effector of incretin hormone receptors, Epac1, was decreased in the βPrlr-/- mice ( Figure 5h ) and\ incretin-mediated nuclear translocation 30 of Pdx1 was reduced ( Figure 5i ). Download figure Open in new tab Figure 5. Insulin content and incretin hormone receptor expression are lower in islets of βPrlr-/- mice. (A) Insulin content from pancreatic islets was normalized to DNA (in μg) and expressed as mean + SEM; n = 5-7 mice/group. mRNA expression of the (B) insulin genes ( Ins1 and Ins2 ), (C) transcription factors that regulates insulin gene transcription ( MafA, NeuroD1, Nks6 . 1, Pdx1 ), (D) genes that regulates glucose entry and metabolism in β cells (glucokinase ( Gck ), glucose transporter 2 ( Glut2 ), pyruvate carboxylase ( PC )), (E) incretin hormone receptors (glucagon-like peptide-1 receptor ( Glp-1r ), glucose-dependent insulinotropic polypeptide receptor ( Gipr )), and, (F) transcription factors that regulates incretin hormone receptor expression ( E2f1, MafA, Nkx6 . 1, Pax6, Pparγ, Tcf7l2 ) in islets were determined by RT-qPCR, normalized to Ppa1 (housekeeping gene), and expressed relative to the levels found in βPrlr+/+/HFD mice. Each data point represents one mouse (n=6-7 mice/group), averaged from 3 independent experiments. Results are presented as means + SEM Statistical analysis was done using an unpaired student’s t-test between groups where “*”= p<0 . 05, “ **”= p<0 . 005 . (G) Plasma insulin concentrations during IPGTT (2g glucose/kg body weight) in βPrlr+/+ and βPrlr-/- mice after 12 weeks of HFD. Blood was collected at 0, 10, and 30 minutes and measured by ELISA. Results are expressed as means + SEM (n=16-17 mice/group). ANOVA and Tukey’s post hoc test were performed.“*”= p<0 . 05 ,“ **”= p<0 . 005 OGTT vs. IPGTT, and ns=not significant. Discussion Physiologic states such as pregnancy, obesity, and aging are characterized by insulin resistance, and pancreatic beta cells adapt by increasing insulin synthesis and secretory capacity to maintain normal glucose homeostasis 31 . Previously, studies in mice with global 4 or β-cell-specific prolactin receptor (Prlr) deletion 17 , 19 , 32 demonstrated that PRLR is required for β-cell adaptation to insulin resistance of pregnancy, mainly by up regulating β-cell proliferation. This adaptation involves activity of many pathways 2 , such as MafB 19 , Jak2/Stat5 5 , 33 , IRS-2/PI3K/Akt 5 , 34 , Hnf4-a 35 , menin/p27/p18 5 , 36 , Tph1 37 , Foxd3 38 , and FoxM1 39 . Little is known about whether PRLR has a role in regulating β-cell function outside of the context of pregnancy. Here, we report that in female multiparous mice exposed to a HFD, PRLR is important in regulating β-cell function and maintaining glucose homeostasis. In our model, female βPrlr+/+ and βPrlr-/- mice were placed on a HFD or CD for 12 weeks after they have given birth to 2-3 litters. This was to mimic the human experience of multiple pregnancies and consumption of a typical high-fat Western diet. We deliberately did not start the HFD before pregnancies since the effect of HFD on islet function during pregnancy has been well studied, and our model of HFD only after pregnancies mimics women who maintain a healthier diet during pregnancy followed by consumption of a typical Western diet after pregnancy. This study utilized a transgenic mouse model with a β-cell-specific homozygous deletion of Prlr (βPrlr-/-) to study its role in regulation of β-cell function 17 . Female βPrlr-/- mice have impaired glucose tolerance on day 15 of pregnancy 17 ; however, we did not detect a difference in glucose tolerance between virgin βPrlr+/+ and βPrlr-/- mice or after their second pregnancy, before we placed them on HFD (data not shown). This suggests that while PRLR action is required for β-cell adaptation during pregnancy, the lack of PRLR action during pregnancy do not cause permanent functional defect in β cells, as indicated by normal glucose tolerance and insulin secretion postpartum. This is consistent with our previous observation that while expression of ER stress markers are up regulated during pregnancy 10 , it did not translate into increased β-cell apoptosis during pregnancy in mice with global Prlr deletion 4 . Following two pregnancies, mice were placed on either CD or HFD for the duration of 12 weeks. Diet induced obesity (DIO) model is most often used to mimic Western diet, which is characterized by high fat content 40 - 43 . CD did not affect glucose homeostasis in the βPrlr+/+ mice, but the βPrlr-/- mice had higher blood glucose levels at the 45-minute time point of OGTT, although we did not observe a significant difference in glucose excursion when measured integrated area-under-curve (AUC) throughout the 120-minutes OGTT (data not shown). The physiological effects of HFD in rodents has been studied extensively, and it includes increasing body weight, worsened glucose tolerance, and becoming more insulin resistant 41 , 44 , 45 . The βPrlr+/+ and βPrlr-/- mice had comparable changes in weight over the course of 12 weeks of CD or HFD. Glucose tolerance worsened in both βPrlr+/+ and βPrlr-/- mice after 6 and 12 weeks of HFD, but in comparison, the βPrlr-/- mice were more glucose intolerant than the βPrlr+/+ mice after 6 weeks of HFD, a difference that persisted until end of the 12-week HFD period ( Figure 2a-c ). Both βPrlr+/+ and βPrlr-/- mice became progressively more insulin resistant during HFD, as evident from their elevated blood glucose at the 15-minute time point of ITT (data not shown). These results suggest that while both βPrlr+/+ and βPrlr-/- mice experienced worsened glucose tolerance and insulin sensitivity after exposure to HFD, βPrlr-/- mice are more glucose intolerant with similar levels of insulin sensitivity in comparison to the βPrlr+/+ mice, suggests a reduction in insulin secretion in the βPrlr-/- mice. Exposure to high fat has been shown to negatively impact insulin secretion through several mechanisms. In vitro studies found that saturated fat activates pERK1/2, stimulates ATF6 cleavage, down regulates MafA and Pdx1 , and caused nuclear exclusion of Pdx1, impairing β-cell function and inhibiting insulin gene transcription 46 - 49 . Quantification of insulin content from isolate islets revealed that islets from βPrlr-/- mice given a 12-week HFD had a lower insulin content in comparison to βPrlr+/+ mice ( Figure 5a ). In addition, they had a reduction in mRNA expression of both Ins1 and Ins2 genes ( Figure 5b ). Of the key transcription factors that are known to directly regulate insulin gene transcription, namely MafA, NeuroD1, Nkx6 . 1 , and Pdx1 , we observed a reduction in expression of all 4 genes although only Nkx6 . 1 reach statistical significance ( Figure 5c ). We then investigate genes involved in β-cell function that enhance GSIS 20 - 22 , i.e. Glut2, Gck , and PC . First, Glut2 is the only glucose transporter expressed in β cells with a high Michaelis constant ( K m ) and transport ability, allows quick glucose entry into the β-cell. Once glucose enters, it is phosphorylated by the rate-limiting enzyme Gck, which plays the pivotal role in GSIS. Finally, pyruvate can enter the mitochondrial tricarboxylic acid (TCA) cycle through two pathways controlled by either pyruvate carboxylase (PC) or pyruvate dehydrogenase (PDH). In β cells, evidence of PC rather than PDH, controlling pyruvate entry into the TCA cycle has been shown 50 . Here, we found a reduction in expression of Glut2 and PC ( Figure 5d ). Hence, islets from βPrlr-/- mice appears to have widespread albeit modest reduction in genes that regulate insulin gene transcription and GSIS. In search of other potential cause of impaired insulin secretion in βPrlr-/- mice, we examined expression of pro-survival and pro-apoptotic genes. In vivo studies showed that upon HFD exposure, pro-survival gene expression increases within the first 2 weeks, followed by activation of UPR and pro-apoptosis genes 43 , 51 . This sequential activation of prosurvival genes and UPR pathway is also observed in β cells during pregnancy 10 . Prolactin has been shown to protect β cells from glucolipotoxicity 52 and in our multiparous female βPrlr-/- mice given a HFD, examination of the UPR pathway revealed no significant difference in the expression of Bax:Bcl-2 ratio, spliced Xbp1 : unspliced Xbp1 , and Chop , but the expression of Bip and Ire1α was decreased. We observed a significant reduction in the pro-survival gene, Lrrc55 10 , in the βPrlr-/- mice in comparison to the βPrlr+/+ mice. These differences were accompanied by a slightly higher β-cell apoptosis rate in the βPrlr-/- mice. We also found a small reduction in β-cell proliferation rate in the βPrlr-/- mice. However, this small changes in β-cell apoptosis and proliferation rates did not result in a statistically significant difference in β-cell mass after 12 weeks of HFD ( Figure 4c ). These findings suggest that unlike pregnancy, the blunted insulin secretory response in the βPrlr-/- mice was due to a defect in β-cell proliferation resulting in a smaller β-cell mass, a different compensatory mechanism is responsible for the difference in insulin secretion in multiparous mice exposed to HFD. This is in line with transcriptomic analyses where prolactin-induced genes in islets during pregnancy and HFD showed very little overlap, suggesting that these metabolic stressors activate different mechanisms of compensation 40 . With this difference in mind, we measured insulin secretion in vivo and in vitro . We found that in vivo insulin secretion and the insulinogenic index was decreased at the 10-minute time point of an OGTT, suggesting a reduction in first-phase insulin secretion ( Figure 3a ). Curiously, this difference was not observed during an IPGTT. Moreover, we found no difference in in vitro insulin secretion in response to glucose-dependent (16 mM Glucose) or glucose-independent (40mM KCl) stimuli ( Figure 3b ). 22 In vivo insulin secretion results from integration of nutrient signals, such as glucose, free fatty acids, amino acids, as well as hormones and neuronal signals, while in vitro GSIS are independent from these systemic effects. Our results suggest that there is no intrinsic defect in βPrlr-/-islets’ ability to secrete insulin in response to glucose but rather, the impaired first-phase insulin secretion observed in vivo is secondary to an in vivo factor. One such potential in vivo factor is the incretin hormones 53 . The incretin hormone receptors GIPR and GLP-1R were of interest as the incretin effect accounts for up to 80% of insulin secretion in response to meal ingestion 53 . We observed a significant reduction in Gipr and Glp-1r gene expression in islets of βPrlr-/- mice ( Figure 5e ), as well a reduction in Epac1 , a downstream mediator of Gipr and Glp-1r action 54 . Epac proteins increase intracellular Ca 2+ to promote insulin granule exocytosis and decreased expression directly impairs the incretin effect 55 , 56 . Activation of both incretin hormone receptors results in the nuclear translocation of Pdx1 and we observed a reduction in number of nuclear Pdx1 + β cells in the βPrlr-/- mice ( Figure 5i ). We also measured the expression of transcription factors that regulate Gipr and/or Glp-1r expression, namely E2f1, MafA, Nkx6 . 1, Pax6, Pparγ , and Tcf7l2 , and found a significant reduction in the expression of all except MafA when comparing βPrlr-/-to βPrlr+/+ mice ( Figure 5f ). It is interesting to note that all of these transcription factors have been associated with β-cell adaptation during HFD 43 , 57 - 59 , but only E2f1 and Pparγ are known to be downstream of PRLR signaling 60 , 61 . Hence, our results showed that during pregnancy, PRLR signaling up regulates β-cell proliferation and insulin synthesis in adaptation to the insulin resistance of pregnancy 4 , 17 , 19 , 40 . In the absence of additional metabolic challenges, a reduction in PRLR signaling in β cells have no impact on β-cell function and glucose homeostasis. However, when β cells are Prlr deficient, as in βPrlr-/- mice, the stress of repeated pregnancies compounded by exposure to HFD resulted in a reduction in insulin synthesis, expression of the genes that regulate GSIS, and expression of incretin receptors Glp-1r and Gipr that together, manifested as a reduction in in vivo insulin secretion and impaired glucose tolerance. The link between PRLR and incretin receptor expression is a novel finding and future experiments will delineate the mechanisms involved. References 1. ↵ Sorenson RL , Brelje TC . Adaptation of islets of Langerhans to pregnancy: beta-cell growth, enhanced insulin secretion and the role of lactogenic hormones . Horm Metab Res 1997 ; 29 ( 6 ): 301 – 7 . OpenUrl CrossRef PubMed Web of Science 2. ↵ Salazar-Petres ER , Sferruzzi-Perri AN . Pregnancy-induced changes in beta-cell function: what are the key players? J Physiol 2022 ; 600 ( 5 ): 1089 – 1117 . DOI: 10.1113/JP281082 . OpenUrl CrossRef 3. ↵ Sorenson RL , Brelje TC . Prolactin receptors are critical to the adaptation of islets to pregnancy . Endocrinology 2009 ; 150 ( 4 ): 1566 – 9 . OpenUrl CrossRef PubMed Web of Science 4. ↵ Huang C , Snider F , Cross JC . Prolactin receptor is required for normal glucose homeostasis and modulation of beta-cell mass during pregnancy . Endocrinology 2009 ; 150 ( 4 ): 1618 – 26 . OpenUrl CrossRef PubMed Web of Science 5. ↵ Hughes E , Huang C. Participation of Akt, menin, and p21 in pregnancy-induced beta-cell proliferation . Endocrinology 2011 ; 152 ( 3 ): 847 – 55 . OpenUrl CrossRef PubMed Web of Science 6. Huang C. Wild-type offspring of heterozygous prolactin receptor-null female mice have maladaptive beta-cell responses during pregnancy . J Physiol 2013 ; 591 ( Pt 5 ): 1325 – 38 . OpenUrl CrossRef PubMed 7. ↵ Hyslop CM , Tsai S , Shrivastava V , Santamaria P , Huang C. Prolactin as an Adjunct for Type 1 Diabetes Immunotherapy . Endocrinology 2016 ; 157 ( 1 ): 150 – 65 . OpenUrl 8. ↵ Rawn SM , Huang C , Hughes M , Shaykhutdinov R , Vogel HJ , Cross JC . Pregnancy Hyperglycemia in Prolactin Receptor Mutant, but Not Prolactin Mutant, Mice and Feeding-Responsive Regulation of Placental Lactogen Genes Implies Placental Control of Maternal Glucose Homeostasis . Biol Reprod 2015 . 9. ↵ Yan J , Aldrich RW . BK potassium channel modulation by leucine-rich repeat-containing proteins . Proc Natl Acad Sci U S A 2012 ; 109 ( 20 ): 7917 – 22 . OpenUrl Abstract / FREE Full Text 10. ↵ Makkar G , Shrivastava V , Hlavay B , et al. Lrrc55 is a novel prosurvival factor in pancreatic islets . Am J Physiol Endocrinol Metab 2019 ; 317 ( 5 ): E794 – E804 . DOI: 10.1152/ajpendo.00028.2019 . OpenUrl CrossRef 11. ↵ Zhang Z , Piro AL , Allalou A , et al. Prolactin and maternal metabolism in women with a recent GDM pregnancy and links to future T2D: the SWIFT study . J Clin Endocrinol Metab 2022 . DOI: 10.1210/clinem/dgac346 . OpenUrl CrossRef 12. Wang T , Lu J , Xu Y , et al. Circulating prolactin associates with diabetes and impaired glucose regulation: a population-based study . Diabetes Care 2013 ; 36 ( 7 ): 1974 – 80 . DOI: 10.2337/dc12-1893 . OpenUrl Abstract / FREE Full Text 13. Wagner R , Heni M , Linder K , et al. Age-dependent association of serum prolactin with glycaemia and insulin sensitivity in humans . Acta Diabetol 2014 ; 51 ( 1 ): 71 – 8 . DOI: 10.1007/s00592-013-0493-7 . OpenUrl CrossRef PubMed Web of Science 14. Chahar C , Chahar K , Ankit BS , Gadhwal A , Agrawal RP . Association of Serum Prolactin Level with Impaired Glucose Regulation and Diabetes . J Assoc Physicians India 2017 ; 65 ( 3 ): 34 – 39 . OpenUrl 15. Li J , Rice MS , Huang T , et al. Circulating prolactin concentrations and risk of type 2 diabetes in US women . Diabetologia 2018 ; 61 ( 12 ): 2549 – 2560 . DOI: 10.1007/s00125-018-4733-9 . OpenUrl CrossRef PubMed 16. ↵ Liu J , Zhang L , Fu J , Wang Q , Wang G. Circulating prolactin level is increased in metabolically healthy obesity . Endocr Connect 2021 ; 10 ( 4 ): 484 – 491 . DOI: 10.1530/EC-21-0040 . OpenUrl CrossRef 17. ↵ Shrivastava V , Lee M , Lee D , et al. Beta cell adaptation to pregnancy requires prolactin action on both beta and non-beta cells . Sci Rep 2021 ; 11 ( 1 ): 10372 . DOI: 10.1038/s41598-021-89745-9 . OpenUrl CrossRef 18. ↵ Muzumdar MD , Tasic B , Miyamichi K , Li L , Luo L. A global double-fluorescent Cre reporter mouse . Genesis 2007 ; 45 ( 9 ): 593 – 605 . DOI: 10.1002/dvg.20335 . OpenUrl CrossRef PubMed Web of Science 19. ↵ Banerjee RR , Cyphert HA , Walker EM , et al. Gestational Diabetes Mellitus From Inactivation of Prolactin Receptor and MafB in Islet beta-Cells . Diabetes 2016 ; 65 ( 8 ): 2331 – 41 . DOI: 10.2337/db15-1527 . OpenUrl Abstract / FREE Full Text 20. ↵ Thorens B. Glucose sensing and the pathogenesis of obesity and type 2 diabetes . Int J Obes (Lond) 2008 ; 32 Suppl 6 : S62 – 71 . OpenUrl CrossRef PubMed 21. ↵ Thorens B. GLUT2, glucose sensing and glucose homeostasis . Diabetologia 2015 ; 58 ( 2 ): 221 – 32 . DOI: 10.1007/s00125-014-3451-1 . OpenUrl CrossRef PubMed 22. ↵ Matschinsky FM . Glucokinase as glucose sensor and metabolic signal generator in pancreatic beta-cells and hepatocytes . Diabetes 1990 ; 39 ( 6 ): 647 – 52 . DOI: 10.2337/diab.39.6.647 . OpenUrl Abstract / FREE Full Text 23. ↵ Liu YQ , Jetton TL , Leahy JL . beta-Cell adaptation to insulin resistance. Increased pyruvate carboxylase and malate-pyruvate shuttle activity in islets of nondiabetic Zucker fatty rats . J Biol Chem 2002 ; 277 ( 42 ): 39163 – 8 . DOI: 10.1074/jbc.M207157200 . OpenUrl Abstract / FREE Full Text 24. ↵ Bourouh C , Courty E , Rolland L , et al. The transcription factor E2F1 controls the GLP-1 receptor pathway in pancreatic beta cells . Cell Rep 2022 ; 40 ( 6 ): 111170 . DOI: 10.1016/j.celrep.2022.111170 . OpenUrl CrossRef 25. ↵ Taylor BL , Benthuysen J , Sander M. Postnatal beta-cell proliferation and mass expansion is dependent on the transcription factor Nkx6.1 . Diabetes 2015 ; 64 ( 3 ): 897 – 903 . DOI: 10.2337/db14-0684 . OpenUrl Abstract / FREE Full Text 26. ↵ Gosmain Y , Katz LS , Masson MH , Cheyssac C , Poisson C , Philippe J. Pax6 is crucial for beta-cell function, insulin biosynthesis, and glucose-induced insulin secretion . Mol Endocrinol 2012 ; 26 ( 4 ): 696 – 709 . DOI: 10.1210/me.2011-1256 . OpenUrl CrossRef PubMed Web of Science 27. ↵ Gupta D , Peshavaria M , Monga N , Jetton TL , Leahy JL . Physiologic and pharmacologic modulation of glucose-dependent insulinotropic polypeptide (GIP) receptor expression in beta-cells by peroxisome proliferator-activated receptor (PPAR)-gamma signaling: possible mechanism for the GIP resistance in type 2 diabetes . Diabetes 2010 ; 59 ( 6 ): 1445 – 50 . DOI: 10.2337/db09-1655 . OpenUrl Abstract / FREE Full Text 28. ↵ Shu L , Matveyenko AV , Kerr-Conte J , Cho JH , McIntosh CH , Maedler K. Decreased TCF7L2 protein levels in type 2 diabetes mellitus correlate with downregulation of GIP- and GLP-1 receptors and impaired beta-cell function . Hum Mol Genet 2009 ; 18 ( 13 ): 2388 – 99 . DOI: 10.1093/hmg/ddp178 . OpenUrl CrossRef PubMed Web of Science 29. ↵ Cataldo LR , Vishnu N , Singh T , et al. The MafA-target gene PPP1R1A regulates GLP1R-mediated amplification of glucose-stimulated insulin secretion in beta-cells . Metabolism 2021 ; 118 : 154734 . DOI: 10.1016/j.metabol.2021.154734 . OpenUrl CrossRef 30. ↵ Zhang Y , Fang X , Wei J , et al. PDX-1: A Promising Therapeutic Target to Reverse Diabetes . Biomolecules 2022 ; 12 ( 12 ). DOI: 10.3390/biom12121785 . OpenUrl CrossRef 31. ↵ Nolan CJ , Damm P , Prentki M. Type 2 diabetes across generations: from pathophysiology to prevention and management . Lancet 2011 ; 378 ( 9786 ): 169 – 81 . OpenUrl CrossRef PubMed Web of Science 32. ↵ Nteeba J , Kubota K , Wang W , et al. Pancreatic prolactin receptor signaling regulates maternal glucose homeostasis . J Endocrinol 2019 . DOI: 10.1530/JOE-18-0518 . OpenUrl CrossRef 33. ↵ Amaral ME , Cunha DA , Anhe GF , et al. Participation of prolactin receptors and phosphatidylinositol 3-kinase and MAP kinase pathways in the increase in pancreatic islet mass and sensitivity to glucose during pregnancy . J Endocrinol 2004 ; 183 ( 3 ): 469 – 76 . OpenUrl Abstract / FREE Full Text 34. ↵ Amaral ME , Ueno M , Carvalheira JB , et al. Prolactin-signal transduction in neonatal rat pancreatic islets and interaction with the insulin-signaling pathway . Horm Metab Res 2003 ; 35 ( 5 ): 282 – 9 . OpenUrl CrossRef PubMed Web of Science 35. ↵ Gupta RK , Gao N , Gorski RK , et al. Expansion of adult beta-cell mass in response to increased metabolic demand is dependent on HNF-4alpha . Genes Dev 2007 ; 21 ( 7 ): 756 – 69 . OpenUrl Abstract / FREE Full Text 36. ↵ Karnik SK , Hughes CM , Gu X , et al. Menin regulates pancreatic islet growth by promoting histone methylation and expression of genes encoding p27Kip1 and p18INK4c . Proc Natl Acad Sci U S A 2005 ; 102 ( 41 ): 14659 – 64 . OpenUrl Abstract / FREE Full Text 37. ↵ Kim H , Toyofuku Y , Lynn FC , et al. Serotonin regulates pancreatic beta cell mass during pregnancy . Nat Med 2010 ; 16 ( 7 ): 804 – 8 . OpenUrl CrossRef PubMed Web of Science 38. ↵ Plank JL , Frist AY , Legrone AW , Magnuson MA , Labosky PA . Loss of Foxd3 Results in Decreased beta-Cell Proliferation and Glucose Intolerance During Pregnancy . Endocrinology 2011 ; 152 ( 12 ): 4589 – 600 . OpenUrl CrossRef PubMed Web of Science 39. ↵ Zhang H , Zhang J , Pope CF , et al. Gestational diabetes mellitus resulting from impaired beta-cell compensation in the absence of FoxM1, a novel downstream effector of placental lactogen . Diabetes 2009 ; 59 ( 1 ): 143 – 52 . OpenUrl PubMed 40. ↵ Pepin ME , Bickerton HH , Bethea M , Hunter CS , Wende AR , Banerjee RR . Prolactin Receptor Signaling Regulates a Pregnancy-Specific Transcriptional Program in Mouse Islets . Endocrinology 2019 ; 160 ( 5 ): 1150 – 1163 . DOI: 10.1210/en.2018-00991 . OpenUrl CrossRef 41. ↵ Winzell MS , Ahren B. The high-fat diet-fed mouse: a model for studying mechanisms and treatment of impaired glucose tolerance and type 2 diabetes . Diabetes 2004 ; 53 Suppl 3 : S215 – 9 . OpenUrl Abstract / FREE Full Text 42. Mosser RE , Maulis MF , Moulle VS , et al. High-fat diet-induced beta-cell proliferation occurs prior to insulin resistance in C57Bl/6J male mice . Am J Physiol Endocrinol Metab 2015 ; 308 ( 7 ): E573 – 82 . DOI: 10.1152/ajpendo.00460.2014 . OpenUrl CrossRef PubMed 43. ↵ Gupta D , Jetton TL , LaRock K , et al. Temporal characterization of beta cell-adaptive and-maladaptive mechanisms during chronic high-fat feeding in C57BL/6NTac mice . J Biol Chem 2017 ; 292 ( 30 ): 12449 – 12459 . DOI: 10.1074/jbc.M117.781047 . OpenUrl Abstract / FREE Full Text 44. ↵ Prentki M , Corkey BE , Madiraju SRM . Lipid-associated metabolic signalling networks in pancreatic beta cell function . Diabetologia 2020 ; 63 ( 1 ): 10 – 20 . DOI: 10.1007/s00125-019-04976-w . OpenUrl CrossRef 45. ↵ Poitout V. Lipotoxicity impairs incretin signalling . Diabetologia 2013 ; 56 ( 2 ): 231 – 3 . DOI: 10.1007/s00125-012-2788-6 . OpenUrl CrossRef PubMed 46. ↵ Cunha DA , Hekerman P , Ladriere L , et al. Initiation and execution of lipotoxic ER stress in pancreatic beta-cells . J Cell Sci 2008 ; 121 ( Pt 14 ): 2308 – 18 . DOI: 10.1242/jcs.026062 . OpenUrl Abstract / FREE Full Text 47. Poitout V , Robertson RP . Glucolipotoxicity: fuel excess and beta-cell dysfunction . Endocr Rev 2008 ; 29 ( 3 ): 351 – 66 . OpenUrl CrossRef PubMed Web of Science 48. Poitout V , Amyot J , Semache M , Zarrouki B , Hagman D , Fontes G. Glucolipotoxicity of the pancreatic beta cell . Biochim Biophys Acta 2010 ; 1801 ( 3 ): 289 – 98 . DOI: 10.1016/j.bbalip.2009.08.006 . OpenUrl CrossRef PubMed Web of Science 49. ↵ Prentki M , Madiraju SR . Glycerolipid/free fatty acid cycle and islet beta-cell function in health, obesity and diabetes . Mol Cell Endocrinol 2012 ; 353 ( 1-2 ): 88 – 100 . DOI: 10.1016/j.mce.2011.11.004 . OpenUrl CrossRef PubMed 50. ↵ Xu J , Han J , Long YS , Epstein PN , Liu YQ . The role of pyruvate carboxylase in insulin secretion and proliferation in rat pancreatic beta cells . Diabetologia 2008 ; 51 ( 11 ): 2022 – 30 . DOI: 10.1007/s00125-008-1130-9 . OpenUrl CrossRef PubMed Web of Science 51. ↵ Prentki M , Peyot ML , Masiello P , Madiraju SRM . Nutrient-Induced Metabolic Stress, Adaptation, Detoxification, and Toxicity in the Pancreatic beta-Cell . Diabetes 2020 ; 69 ( 3 ): 279 – 290 . DOI: 10.2337/dbi19-0014 . OpenUrl Abstract / FREE Full Text 52. ↵ Kondegowda NG , Mozar A , Chin C , Otero A , Garcia-Ocana A , Vasavada RC . Lactogens protect rodent and human beta cells against glucolipotoxicity-induced cell death through Janus kinase-2 (JAK2)/signal transducer and activator of transcription-5 (STAT5) signalling . Diabetologia 2012 ; 55 ( 6 ): 1721 – 32 . OpenUrl CrossRef PubMed Web of Science 53. ↵ Campbell JE , Drucker DJ . Pharmacology, physiology, and mechanisms of incretin hormone action . Cell Metab 2013 ; 17 ( 6 ): 819 – 37 . OpenUrl CrossRef PubMed Web of Science 54. ↵ Holz GG . Epac: A new cAMP-binding protein in support of glucagon-like peptide-1 receptor-mediated signal transduction in the pancreatic beta-cell . Diabetes 2004 ; 53 ( 1 ): 5 – 13 . DOI: 10.2337/diabetes.53.1.5 . OpenUrl Abstract / FREE Full Text 55. ↵ Rorsman P , Braun M. Regulation of insulin secretion in human pancreatic islets . Annu Rev Physiol 2013 ; 75 : 155 – 79 . DOI: 10.1146/annurev-physiol-030212-183754 . OpenUrl CrossRef PubMed Web of Science 56. ↵ Mayendraraj A , Rosenkilde MM , Gasbjerg LS . GLP-1 and GIP receptor signaling in beta cells - A review of receptor interactions and co-stimulation . Peptides 2022 ; 151 : 170749 . DOI: 10.1016/j.peptides.2022.170749 . OpenUrl CrossRef 57. ↵ Shirakawa J , Togashi Y , Basile G , et al. E2F1 transcription factor mediates a link between fat and islets to promote beta cell proliferation in response to acute insulin resistance . Cell Rep 2022 ; 41 ( 1 ): 111436 . DOI: 10.1016/j.celrep.2022.111436 . OpenUrl CrossRef 58. Chen Y , Feng R , Wang H , et al. High-fat diet induces early-onset diabetes in heterozygous Pax6 mutant mice . Diabetes Metab Res Rev 2014 ; 30 ( 6 ): 467 – 75 . DOI: 10.1002/dmrr.2572 . OpenUrl CrossRef 59. ↵ Hu Y , Shi P , He K , et al. Methylation of Tcf712 promoter by high-fat diet impairs beta-cell function in mouse pancreatic islets . Diabetes Metab Res Rev 2018 ; 34 ( 4 ): e2980 . DOI: 10.1002/dmrr.2980 . OpenUrl CrossRef PubMed 60. ↵ Zhao X , Xu Y , Wu Y , et al. Involvement of the STAT5-cyclin D/CDK4-pRb pathway in beta-cell proliferation stimulated by prolactin during pregnancy . Am J Physiol Endocrinol Metab 2019 ; 316 ( 1 ): E135 – E144 . DOI: 10.1152/ajpendo.00242.2018 . OpenUrl CrossRef 61. ↵ Nanbu-Wakao R , Fujitani Y , Masuho Y , Muramatu M , Wakao H. Prolactin enhances CCAAT enhancer-binding protein-beta (C/EBP beta) and peroxisome proliferator-activated receptor gamma (PPAR gamma) messenger RNA expression and stimulates adipogenic conversion of NIH-3T3 cells . Mol Endocrinol 2000 ; 14 ( 2 ): 307 – 16 . DOI: 10.1210/mend.14.2.0420 . OpenUrl CrossRef PubMed Web of Science View the discussion thread. Back to top Previous Next Posted January 23, 2024. Download PDF Email Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. 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Share Beta-cell adaptation to metabolic stresses requires prolactin receptor signaling Daniel Lee , Raneet Kahlon , Darasimi Kola-Ilesanmi , Mahir Rahman , Carol Huang bioRxiv 2024.01.20.575603; doi: https://doi.org/10.1101/2024.01.20.575603 Share This Article: Copy Citation Tools Beta-cell adaptation to metabolic stresses requires prolactin receptor signaling Daniel Lee , Raneet Kahlon , Darasimi Kola-Ilesanmi , Mahir Rahman , Carol Huang bioRxiv 2024.01.20.575603; doi: https://doi.org/10.1101/2024.01.20.575603 Citation Manager Formats BibTeX Bookends EasyBib EndNote (tagged) EndNote 8 (xml) Medlars Mendeley Papers RefWorks Tagged Ref Manager RIS Zotero Tweet Widget Facebook Like Google Plus One Subject Area Physiology Subject Areas All Articles Animal Behavior and Cognition (7647) Biochemistry (17729) Bioengineering (13921) Bioinformatics (42050) Biophysics (21490) Cancer Biology (18637) Cell Biology (25564) Clinical Trials (138) Developmental Biology (13404) Ecology (19942) Epidemiology (2067) Evolutionary Biology (24368) Genetics (15625) Genomics (22550) Immunology (17764) Microbiology (40476) Molecular Biology (17208) Neuroscience (88766) Paleontology (667) Pathology (2843) Pharmacology and Toxicology (4834) Physiology (7660) Plant Biology (15175) Scientific Communication and Education (2047) Synthetic Biology (4304) Systems Biology (9836) Zoology (2272)

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