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Record W2031276095 · doi:10.1073/pnas.0910533107

Recessive mutations in the <i>INS</i> gene result in neonatal diabetes through reduced insulin biosynthesis

2010· article· en· W2031276095 on OpenAlexaff
Intza Garin, Emma L. Edghill, İldem Akerman, Oscar Rubio‐Cabezas, Itxaso Rica, Jonathan M. Locke, M.A. Maestro, Adnan Alshaikh, Rüveyde Bundak, Asma Deeb, Dorothee Deiss, Juan Marcelo Fernández, Koumudi Godbole, Khalid Hussain, Michele A. O’Connell, Thomasz Klupa, Stanislava Koloušková, Fauzia Mohsin, Kusiel Perlman, Zdenĕk Šumnı́k, Jose M. Rial, Estibaliz Ugarte, Thiruvengadam Vasanthi, Karen A. Johnstone, Sarah E. Flanagan, Rosa Martı́nez, Carlos Castaño, Ann‐Marie Patch, Eduardo Fernández‐Rebollo, Klemens Raile, Noel G. Morgan, Lorna W. Harries, Luís Castaño, Sian Ellard, Jorge Ferrer, Guiomar Pérez de Nanclares, Andrew T. Hattersley

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2010
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsHospital for Sick Children
FundersInstituto de Salud Carlos IIIEuropean CommissionWellcome TrustCentre of Excellence for Environmental Decisions, Australian Research CouncilVanderbilt University
KeywordsProinsulinBiologyGeneticsGeneMutationProbandInsulinEndocrinology

Abstract

fetched live from OpenAlex

Heterozygous coding mutations in the INS gene that encodes preproinsulin were recently shown to be an important cause of permanent neonatal diabetes. These dominantly acting mutations prevent normal folding of proinsulin, which leads to beta-cell death through endoplasmic reticulum stress and apoptosis. We now report 10 different recessive INS mutations in 15 probands with neonatal diabetes. Functional studies showed that recessive mutations resulted in diabetes because of decreased insulin biosynthesis through distinct mechanisms, including gene deletion, lack of the translation initiation signal, and altered mRNA stability because of the disruption of a polyadenylation signal. A subset of recessive mutations caused abnormal INS transcription, including the deletion of the C1 and E1 cis regulatory elements, or three different single base-pair substitutions in a CC dinucleotide sequence located between E1 and A1 elements. In keeping with an earlier and more severe beta-cell defect, patients with recessive INS mutations had a lower birth weight (-3.2 SD score vs. -2.0 SD score) and were diagnosed earlier (median 1 week vs. 10 weeks) compared to those with dominant INS mutations. Mutations in the insulin gene can therefore result in neonatal diabetes as a result of two contrasting pathogenic mechanisms. Moreover, the recessively inherited mutations provide a genetic demonstration of the essential role of multiple sequence elements that regulate the biosynthesis of insulin in man.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.222
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.307
Teacher spread0.272 · 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 teacher head, 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".

Quick stats

Citations209
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the National Academy of SciencesSame topicPancreatic function and diabetesFrench-language works237,207