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Record W4376867676 · doi:10.21203/rs.3.rs-2907194/v1

Biallelic variants of the first Kunitz domain of SPINT2 cause none syndromic form of congenital diarrhea and tufting enteropathy

2023· preprint· en· W4376867676 on OpenAlexaff
Yusriya Al Rawahi, Omar Al Sunaidi, Mohammed Al‐Masqari, Adawiya Al Jamei, Dafalla Rahmatalla, Almundher Al‐Maawali

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsEnteropathyDiarrheaMedicineMissense mutationPathologicalPhenotypeMutationGastroenterologyPediatricsInternal medicineBiologyGeneticsGeneDisease

Abstract

fetched live from OpenAlex

Abstract Biallelic SPINT2 pathogenic variants cause a syndromic form of congenital diarrhea and enteropathy (OMIM 270420). To date, all 34 patients reported presented with additional extra-intestinal syndromic features. We report on a 5-year-old girl who presented early in life with congenital diarrhea and was found to have a novel homozygous variant in SPINT2. She presented with congenital diarrhea, pathological studies confirmed tufting enteropathy, and at the age of 5 years, she did not develop any extra-intestinal syndromic features. The variant (NM_021102.4: c.203A > G (p. [Tyr68Cys]) detected in homozygosity status is the first missense mutation reported in the 1st Kunitz domain (KD1) of SPINT2 in humans. Previously in-vitro functional studies of this variant confirmed the deleterious effect leading to complete loss of inhibitory activity of the intestinal serine proteases. Furthermore, this is the first description of SPINT2-related diarrhea in a patient who lived without the need for long-term total parenteral nutrition. This study expands the clinical and molecular characteristics of SPINT-related conditions.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.073
GPT teacher head0.375
Teacher spread0.302 · 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 designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

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