MétaCan
Menu
Back to cohort
Record W2621355506 · doi:10.1210/en.2017-00393

Peptide Therapeutics for Weight Loss: Preventing Plasma Pancreatic Polypeptide Proteolysis

2017· letter· en· W2621355506 on OpenAlexaff
C. Bruce Verchere

Bibliographic record

VenueEndocrinology · 2017
Typeletter
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsProteolysisEndocrinologyInternal medicinePeptidePancreatic polypeptideChemistryMedicineBiologyBiochemistryInsulinEnzyme

Abstract

fetched live from OpenAlex

As obesity rates skyrocket worldwide, along with associated comorbidities, including type 2 diabetes and cardiovascular disease, there is an increasingly urgent need for new drugs that impact satiety and food intake. The regulation of body weight in mammals involves complex and redundant endocrine and neuronal pathways (1), and this has made the quest for nonsurgical, antiobesity therapeutics a challenge. Peptides have distinct advantages as therapeutic agents given their potential for great efficacy and safety (2), and a number of gut and adipose tissue peptide hormones thought to be involved in appetite regulation—notably glucagon-like peptide 1 (GLP-1), leptin, islet amyloid polypeptide (amylin), cholecystokinin, peptide YY, and pancreatic polypeptide (PP)—have been explored with varying success as antiobesity therapeutic agents (3). A significant limitation of native peptide hormones as therapeutics is their rapid degradation and short circulating half-life. Standing out among this group of peptides in recent years have been GLP-1 and its analogs, which have been shown in multiple clinical trials to have significant effects on food intake and body weight, in addition to its glucose-lowering effects (4). Although the satiety-inducing effects of PP were first recognized 40 years ago (5), its therapeutic potential has been less well explored, in part due to its short half-life in plasma of about 6 to 7 minutes. GLP-1 has an even shorter half-life, but its therapeutic effectiveness has been enhanced by recognition that the major pathway for its degradation and inactivation is via dipeptidyl peptidase 4 (DPP4), as well as the subsequent development of analogs resistant to the action of this enzyme. In this issue of Endocrinology, Cuenco et al. (6) provide new insight into the mechanisms of PP degradation, identifying key peptidases involved and testing nondegradable analogs of PP that have enhanced anorectic properties in mice. PP, a 36–amino acid member of the NPY family of peptides, is produced by PP cells of the pancreatic islets. PP secretion is stimulated by food intake and is regulated by autonomic neural inputs to the islet as well as other gut hormones. The mechanism of action of PP to reduce food intake involves its interaction with Y4 receptors in the hypothalamus (7). To determine potential cleavage points in PP, Cuenco et al. (6) incubated synthetic PP with enzyme-rich fractions of rat liver microscomes and renal brush border membranes, and they identified the truncated peptides by mass spectrometry. The peptides generated were consistent with cleavage of PP by DPP4 or neprilysin, a possibility confirmed by incubation of PP with recombinant forms of these enzymes. Importantly, coinjection of PP with inhibitors of either DPP4 (sitagliptin) or neprilysin (phosphoramidon) resulted in prolonged suppression of food intake compared with PP alone, suggesting that both DPP4 and neprilysin partake in the proteolytic breakdown of PP into less biologically active forms. The authors then exploited this finding to generate PP analogs resistant to DPP4- and neprilysin-mediated proteolysis. A PP peptide with amino acid modifications conferring resistance to DPP4 and neprilysin action had a longer plasma half-life and induced more prolonged suppression of food intake in mice. Taken together, these findings raise the intriguing possibility that degradation-resistant PP analogs may have therapeutic potential in the treatment of obesity. Interestingly, the impact of DPP4-mediated degradation of PP on food intake was significant but not profound, as the truncated product PP3–36 clearly acts on Y4 receptors and attenuates food intake, albeit somewhat less so than intact PP. The data suggest that neprilysin-mediated proteolysis of PP is more impactful in terms of loss of biological activity. Given that DPP4 degradation products such as GLP-1(9–36)-NH2 have been found to have unique bioactivities (8), it may be of value to learn more of the biology of this (and perhaps other) PP breakdown products. Also of note, neither sitagliptin (which is weight neutral in humans) nor phosphoramidon treatment alone had a significant effect on food intake in mice, speaking against a critical role of endogenous PP in regulation of satiety, or perhaps simply a reflection of the tremendous redundancy of neurohormonal pathways regulating food intake. Thus the value of this study seems to lie more in its advancement of PP analogs as potential therapeutics rather than its insight into PP biology. Because exenatide administration in humans can be associated with nausea (which has not been reported with PP), long-acting PP analogs may offer some advantages over GLP-1–based therapies. Further study is clearly needed. Most important is the demonstration that long-term administration of PP analogs indeed induces weight loss, and that this occurs in the absence of adverse effects. In support of this, a phase I study of a DPP4- and neprilysin-resistant PP analog (PP 1420) reported few adverse events and no tolerability issues (9). Also, it is quite possible that other enzymes participate in proteolytic loss of bioactive PP in circulation, and that longer acting and more efficacious PP analogs can be developed. Hopefully this study may spur increased research into the biology of PP, which has remained an interesting but understudied enigma for many years, and its potential as a therapeutic for the treatment of obesity. dipeptidyl peptidase 4 glucagon-like peptide 1 pancreatic polypeptide. Address all correspondence and requests for reprints to: C. Bruce Verchere, PhD, BC Children’s Hospital Research Institute, 950 West 28th Avenue, Vancouver BC V5Z 4H4, Canada. E-mail: bverchere@bcchr.ca. Disclosure Summary: The authors have nothing to disclose.

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)0.002
metaresearch head score (Gemma)0.015
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0340.037
Insufficient payload (model declined to judge)0.0050.004

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 head0.029
GPT teacher head0.288
Teacher spread0.258 · 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".

Quick stats

Citations4
Published2017
Admission routes1
Has abstractno

Explore more

Same venueEndocrinologySame topicDiabetes Treatment and ManagementFrench-language works237,207