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Record W2148050158 · doi:10.1210/en.2007-0336

G Protein-Coupled Receptors and Insulin Secretion: 119 and Counting

2007· letter· en· W2148050158 on OpenAlexafffund
S.R. Murthy Madiraju, Vincent Poitout

Bibliographic record

VenueEndocrinology · 2007
Typeletter
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsCentre Hospitalier de l’Université de MontréalUniversité de Montréal
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesCanadian Institutes of Health Research
KeywordsEndocrinologyInternal medicineReceptorSecretionInsulinChemistryBiologyMedicine

Abstract

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Type 2 diabetes mellitus is an increasingly prevalent disease throughout the world, with dramatic consequences in terms of individual well-being, public health, and economy. It is due to a combination of defective insulin secretion from the pancreatic β-cell and impaired sensitivity of the peripheral tissues to insulin. Because of the key role of β-cell dysfunction in the pathogenesis of type 2 diabetes, the pharmaceutical industry has devoted major efforts in recent years toward developing drugs that can enhance insulin secretion and preserve β-cell function. Such efforts have been somewhat hampered by our incomplete understanding of the mechanisms of insulin secretion. Glucose-stimulated insulin secretion (GSIS) is controlled by a triggering pathway, which involves glucose metabolism, membrane depolarization, and insulin exocytosis, as well as an amplifying pathway, which potentiates the former (1) (Fig. 1). Whereas the nature of the amplifying signals is still debated, ample evidence implies a role for lipid-derived signaling molecules in this process (2). A number of nutrients, hormones, and neurotransmitters can influence GSIS, and most of these act through G protein-coupled receptors (GPCRs). Whereas the majority of GPCRs initially identified in the β-cell inhibit insulin secretion (3), the last few years have seen a multitude of papers ascribing stimulatory functions to newly discovered GPCRs (Fig. 1). The number of β-cell GPCRs involved in the control of insulin secretion has increased steadily and to date, there are six to seven different known G protein-coupled mechanisms. Although these receptors are expressed in high levels in pancreatic β-cells, all of them are also expressed, albeit to a lesser extent, in other tissues. Their function in non-β-cells is unknown and will have to be better understood if these GPCRs are to be targeted for drug development. GPCR-mediated amplification of insulin secretion. Glucose metabolism raises the ATP/ADP ratio, which closes ATP-sensitive potassium channels (KATP channels), depolarizes the cell membrane, activates voltage-gated calcium channels (Ca2+ channels), and results in calcium influx, which in turn triggers the release of insulin. Several extracellular signals can amplify this process through the activation of GPCRs. These include receptors for GLP1, GIP, FFA, acetylcholine, and the newly described GPR119 activated by LPC/OEA. These receptors couple to various downstream signaling pathways in the cell leading to an increase in cAMP levels and/or intracellular calcium and converge to amplify GSIS. Ach, Acetylcholine; CPT1, carnitine-palmitoyl transferase 1; DAG, diacylglycerol; ER, endoplasmic reticulum; FA, fatty acid; IP3, inositol triphosphate; LC-CoA, long-chain coenzyme-A; M3-R, M3-muscarinic receptor; NAPE, N-acylphosphatidylethanolamine; PA, phosphatidic acid; PC, phosphatidylcholine; PKA, cAMP-dependent protein kinase; PKC, protein kinase C; PLA2, phospholipase A2; PLC, phospholipase C; PLD, phospholipase D; Gq, G protein subunit q. Except for glucagon-like peptide-1 (GLP-1) and glucose-dependent insulinotropic peptide (GIP), which are polypeptides and whose receptors are Class-B GPCRs (4), almost all of the other insulin secretagogue GPCR ligands are lipidic in nature and their cognate receptors belong to the Class-A GPCRs. These include free fatty acids (FFA) (GPR40) (5–7), 2-arachidonylglycerol/anandamide (CB1/2R) (8), and acetylcholine (M3-muscarinic receptor) (9). In this issue, Chu et al. (10) further demonstrate that the oleoylethanolamide (OEA)/lysophosphatidylcholine (LPC)-activated GPR119 is involved in GSIS (10). By abrogating the expression of GPR119 both in vitro and in vivo, these authors demonstrated that this GPCR is a potential target for drug development against type 2 diabetes. Translation of the knowledge about novel GPCRs that control insulin secretion into potential drug development for type 2 diabetes is only beginning. It has proven difficult to design small molecule agonists or antagonists to Class-B GPCRs, whose ligands are large polypeptides. This is exemplified by the GLP1-R, whose activity could only be enhanced by synthetic long-acting peptides (e.g. exendin-4) or by increasing the biological half-life of GLP1 through inhibition of its degrading enzyme, dipeptidyl peptidase-4 (4). Because of its biological activity and tissue distribution, GPR40 is an attractive drug target for type 2 diabetes, and its druggability has been investigated (11, 12). A GPR40 agonist, GW9508, that activates both GPR40 and GPR120 and stimulates GSIS in insulin-secreting MIN6 cells (but not in isolated islets) and a selective GPR40 antagonist, GW1100, that reverses the effects of GW9508, were described (11). Arylpropionic acid derivatives have also emerged as selective agonists (12). It is somewhat surprising that these compounds are already undergoing preclinical development, whereas the mechanisms of action (beyond coupling to Gα/q and increasing intracellular calcium levels) and long-term effects of the receptors are still largely unknown (13). In fact, it is still not clear whether it is the antagonist or the agonist of GPR40 that would be the appropriate therapeutic agent for type 2 diabetes (14). Whereas a study (14) using GPR40-knockout and transgenic mice suggests that the antagonistic approach may be more suitable, evidence indicates that GPR40 mediates part of the insulin response to FFA in vivo (15). Therefore, it remains to be determined whether interfering with this physiological mechanism represents an appropriate approach. In this context, it will be important to resolve whether FFA activation of GPR40 in β-cells, in obesity-associated diabetic conditions, is detrimental to β-cell function or represents a necessary evil to enhance insulin release and compensate for insulin resistance. Another aspect to consider is that because the level of the natural ligands of GPR40, FFA, are already elevated in obesity-associated diabetes, further addition of agonists may be superfluous. The recently discovered GPR119 (16, 17) stirred up a major interest because its expression is also high in pancreatic β-cells compared with other tissues, making it an attractive target for drug development. After its initial discovery by Fredriksson et al. (18) as a conserved human rhodopsin GPCR, it was considered an orphan receptor. In 2005, Soga et al. (16) demonstrated that GPR119, like GPR40, is predominantly expressed in pancreatic islets and β-cell lines. These observations were confirmed by others (17, 19), and now more concrete evidence for its near exclusive localization in β-cells is presented by Chu et al. (10). Deletion of GPR119 by small interfering RNA approach in vitro reduces insulin secretion (16), and its genetic ablation in the mouse impairs glucose tolerance (10), indicating a physiologic role in the control of GSIS. LPC and OEA have been described as the physiological ligands for GPR119 (16, 17), even though the ability of LPC to activate GPR119 has been questioned (19). The well-known GSIS-enhancing effect of LPC in β-cells is dependent upon the presence of functional GPR119 (16). It is interesting to note that both ligands can be produced in close vicinity of the receptor on the plasma membrane. LPC is generated by plasma membrane-associated phospholipase A2 activities, which are known to stimulate insulin secretion (20). OEA is produced by N-acylphosphatidylethanolamine-hydrolyzing phospholipase D (21) (Fig. 1). Whether or not these metabolites reach sufficiently high concentrations on the outer surface of the plasma membrane to activate the receptor remains to be determined. Little is known about the downstream signaling pathways activated by GPR119, except that it couples to the G protein α-subunit Gα/s and increases intracellular cAMP levels (16). Chu et al. (10) described a new agonist for GPR119, AR231453, which was found to enhance GSIS and improve glucose tolerance in both normal and diabetic mice. Interestingly, the drug did not affect feeding behavior at doses that are effective in normalizing glucose tolerance. This is in contrast to what was reported earlier by Overton et al. (17), who showed that another GPR119 agonist, PSN632408, mimicked OEA and could reduce food intake and body weight significantly in animal models. However, these authors did find relatively lower blood glucose levels in treated animals. Chu et al. (10) attributed this difference to possible lower agonist concentrations in the brain and also suggested that the previously seen hypophagic effects might be GPR119-independent. Nevertheless, Chu et al. (10) provided convincing evidence for the dependence of AR231453’s glucose homeostatic effect on GPR119 because this compound was inactive in GPR119 knockout mice. Additional studies in GPR119-overexpressing mice would be helpful in that regard. It may be expected that such transgenic mice will show enhanced glucose tolerance and perhaps feed less and gain less weight on high-fat diet. Such corroborative data using GPR119-KO mice were not provided by Overton et al. (17). Differences in compound screening methodologies and/or chemotypes may also contribute to the apparent discrepancy between the two studies. Systematic drug metabolism-pharmacokinetics studies will need to be performed on these compounds to answer these questions. As discussed above for GPR40, the long-term effects of stimulating or inhibiting GPR119 are unknown and must be addressed before a therapeutic strategy can be envisioned. In conclusion, the development of a compound that could be administered orally, improve glucose tolerance, and reduce body weight by controlling food intake would represent a major improvement over currently available therapies for type 2 diabetes. Although it is too early to tell whether GPR119 agonists may be able to meet these goals, further investigations into the roles and mechanism of action of this promising receptor are clearly warranted. Work in our laboratories related to GPCRs and insulin secretion was supported by the National Institutes of Health (R21 DK070598), the Canadian Institutes for Health Research, and the Canadian Diabetes Association. V.P. was the recipient of the 2003 Thomas R. Lee Career Development Award from the American Diabetes Association and holds the Canada Research Chair in Diabetes and Pancreatic β-cell function. Disclosure Statement: The authors have nothing to disclose. Free fatty acids glucose-dependent insulinotropic peptide glucagon-like peptide-1 G protein-coupled receptor glucose-stimulated insulin secretion lysophosphatidylcholine oleoylethanolamide.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.002
Scholarly communication0.0040.007
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0090.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.253
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations41
Published2007
Admission routes2
Has abstractyes

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