Evidence map›Paper›PMID 34888628›Full record

ArticleEndocrinology2022

Novel Pathogenic De Novo INS p.T97P Variant Presenting With Severe Neonatal DKA.

Rayhan A Lal, Hannah P Moeller, Ella A Thomson, Timothy M Horton, Sooyeon Lee, Raquel Freeman, Priya Prahalad, Ada S Y Poon, Justin P Annes

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in Endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Rayhan A LalDivision of Endocrinology, Department of Medicine, Stanford University, Stanford, CA, USA.ORCID 0000-0002-8055-944X
Hannah P MoellerStanford Diabetes Research Center, Stanford, CA, USA.ORCID 0000-0002-3733-5459
Ella A ThomsonDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.ORCID 0000-0002-3294-3092
Timothy M HortonDivision of Endocrinology, Department of Medicine, Stanford University, Stanford, CA, USA.ORCID 0000-0003-2041-3614
Sooyeon LeeDivision of Endocrinology, Department of Medicine, Stanford University, Stanford, CA, USA.ORCID 0000-0002-1076-3314
Raquel FreemanDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Priya PrahaladDivision of Endocrinology, Department of Pediatrics, Stanford University, Stanford, CA, USA.ORCID 0000-0002-3894-4344
Ada S Y PoonDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.ORCID 0000-0003-2647-6069
Justin P AnnesDivision of Endocrinology, Department of Medicine, Stanford University, Stanford, CA, USA.ORCID 0000-0001-8431-3589
Stanford University · US

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Diabetes, Endocrinology and Metabolism Training GrantT32DK007217 · NIDDK · STANFORD UNIVERSITY · PI Justin Pierce Annes, David Matthew Maahs · 1987 to 2026
$7.2M
The Role of Adenosine Kinase in Controlling Beta-Cell RegenerationR01DK101530 · NIDDK · STANFORD UNIVERSITY · PI ANNES, JUSTIN PIERCE · 2015 to 2024
$3.8M
Development of Beta-Cell-Targeted Regenerative Therapeutics Using A Novel Prodrug StrategyR01DK119955 · NIDDK · STANFORD UNIVERSITY · PI ANNES, JUSTIN PIERCE · 2019 to 2023
$2.1M
Training Research Leaders in Type 1 DiabetesK12DK122550 · NIDDK · STANFORD UNIVERSITY · PI MAAHS, DAVID MATTHEW · 2019 to 2023
$2.1M
Stanford Chem-H Chemistry/Biology Interface Predoctoral Training ProgramT32GM120007 · NIGMS · STANFORD UNIVERSITY · PI BERTOZZI, CAROLYN · 2016 to 2020
$1.2M
Molecular Pharmacology Training GrantT32GM113854 · NIGMS · STANFORD UNIVERSITY · PI MOCHLY-ROSEN, DARIA · 2015 to 2019
$1.1M
The Optimal Pathway to Implanted Autonomous Insulin DeliveryK23DK122017 · NIDDK · STANFORD UNIVERSITY · PI LAL, RAYHAN · 2020 to 2024
$958k
NIDDK NIH HHS K12 DK122550NIDDK NIH HHS K23 DK122017NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK101530NIDDK NIH HHS R01 DK119955NIDDK NIH HHS T32 DK007217NIGMS NIH HHS T32 GM113854NIGMS NIH HHS T32 GM120007
6 · The paper itself

Abstract

Pathogenic INS gene mutations are causative for mutant INS-gene-induced diabetes of youth (MIDY). We characterize a novel de novo heterozygous INS gene mutation (c.289A>C, p.T97P) that presented in an autoantibody-negative 5-month-old male infant with severe diabetic ketoacidosis. In silico pathogenicity prediction tools provided contradictory interpretations, while structural modeling indicated a deleterious effect on proinsulin folding. Transfection of wildtype and INS p.T97P expression and luciferase reporter constructs demonstrated elevated intracellular mutant proinsulin levels and dramatically impaired proinsulin/insulin and luciferase secretion. Notably, proteasome inhibition partially and selectively rescued INS p.T97P-derived luciferase secretion. Additionally, expression of INS p.T97P caused increased intracellular proinsulin aggregate formation and XBP-1s protein levels, consistent with induction of endoplasmic reticulum stress. We conclude that INS p.T97P is a newly identified pathogenic A-chain variant that is causative for MIDY via disruption of proinsulin folding and processing with induction of the endoplasmic reticulum stress response.

Indexed as

Mutation, MissenseDiabetes MellitusDiabetic KetoacidosisHumansInfantInsulinMaleModels, MolecularProinsulinProtein FoldingInsulinProinsulinde novo mutationhuman gene mutationinsulininsulin genepermanent neonatal diabetesproinsulin

Identifiers

PMID34888628
PMCPMC9017997
OpenAlexW4200508954

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.