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Thimet Oligopeptidase (EP24.15), a Neuropeptide Processing Enzyme Regulating Xenin Signaling

2017· article· en· W4389021714 on OpenAlexafffund
Marc Glucksman, Keith Philibert, Tooru M. Mizuno, Piesan Lew

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsUniversity of Manitoba
FundersCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsNeurotensinBiochemistryIn silicoBiologyChemistryNeuropeptideCell biologyReceptor

Abstract

fetched live from OpenAlex

Xenin is a 25 amino acid neuropeptide with sequence homology and actions similar to hypothalamic and ileal neurotensin (a satiety factor) as well as binding to the neurotensin receptor. Xenin is produced by a subgroup of chromogranin A+ cells in the duodenum and this neurohormone is involved in glucose homeostasis and increases the response to glucose‐dependent insulinotropic peptide (GIP). Upon its release after ingestion Xenin inhibits secretion of pancreatic exocrine peptides in the gastrointestinal tract. The mode of regulating the peptide hormone Xenin remains elusive. The metalloendopeptidase EC 3.4.24.15 (thimet oligopeptidase, EP24.15) has been demonstrated to play a key role in the cleavage and subsequent regulation of several neuropeptides that also exist in the gut such as neurotensin and somatostatin. A systems biology approach to regulating signaling beginning from high throughput structural analyses, in silico molecular modeling and potential substrate screening implicated Xenin as a substrate of EP24.15 and thus, this enzyme as a possible regulator of Xenin signaling. To substantiate a potential regulatory mechanism for the functioning of Xenin, we first identified potential active site binding and cleavage sites, measured enzymatic parameters, performed structural studies, and determined if EP24.15 and Xenin are co‐expressed in gut regions relevant to glucose homeostasis. After proprietary in silico modeling paradigms identifying a potential favorable interaction, EP24.15 and Xenin were co‐incubated and subjected to matrix‐assisted laser desorption ionization time‐of‐flight (MADLI‐TOF) mass spectrometry to confirm that EP24.15 can cleave Xenin in vitro. Enzyme kinetics were performed with standards via high performance liquid chromatography yielding results consistent with known substrates. Notably, Xenin is cleaved in a homologous manner as neurotensin. Double‐label immunohistochemistry demonstrated Xenin and EP24.15 immunoreactivity within the mouse small intestine and specifically co‐expression within the intestinal mucosa and submucosa. Furthermore, there is co‐expression of EP24.15 and Xenin in cells of both human and mouse stomach in the gastric mucosa. Taken together this data suggests that EP24.15 may act to cleave Xenin in vivo and represents an additional facet of the control mechanism of glucose homeostasis. As a potential pharmacological therapeutic target, understanding regulation of Xenin by the neuropeptide processing enzyme, EP24.15, may provide insight into an alternative strategy for glucose regulation and diseases such as diabetes and obesity. Support or Funding Information Supported by NIH OD010662 (MJG) and CIHR MOP123208 (TMM)

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.297
Teacher spread0.263 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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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Citations0
Published2017
Admission routes2
Has abstractyes

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