MétaCan
Menu
← Back to cohort
Record W3172834066 · doi:10.1101/2021.05.31.21257914

Albumin-dependent and independent mechanisms in the syndrome of kwashiorkor

2021· preprint· en· W3172834066 on OpenAlexafffund
Gerard Bryan Gonzales, James M. Njunge, Bonface M. Gichuki, Bijun Wen, Moses M. Ngari, Isabel Potani, Johnstone Thitiri, Debby Laukens, Jill Vanmassenhove, Wieger Voskuijl, Robert Bandsma, James A. Berkley

Bibliographic record

VenuemedRxiv · 2021
Typepreprint
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersMedical Research CouncilVLIRUOSVlaamse Interuniversitaire RaadWellcome TrustHospital for Sick ChildrenVlaamse regeringBill and Melinda Gates FoundationUniversiteit GentFonds Wetenschappelijk Onderzoek
KeywordsKwashiorkorAlbuminPathophysiologyMedicineMalnutritionInternal medicineExtracellular matrixEndocrinologyImmunologyPathologyBiologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract The syndrome of kwashiorkor is a striking phenotype of childhood severe malnutrition (SM) comprising oedema, fatty liver, and skin and hair changes. Despite high fatality, the aetiology and pathophysiology of kwashiorkor remain enigmatic, including the role of serum albumin on oedema development. Here, we demonstrate that serum albumin is associated with the presence and severity of oedema among severely malnourished children. Further, in two independent cohorts of children in Malawi and Kenya, we show albumin-independent mechanisms are associated with oedema in SM, including oxidative stress and extracellular matrix (ECM) remodelling. Plasma concentrations of ECM-related proteins: lumican, podoplanin, lymphatic vessel endothelial hyaluronan receptor 1 (LYVE1) and matrix metalloproteinase (MMP)2 were associated with kwashiorkor. We therefore conclude that the pathophysiology of kwashiorkor has both albumin-dependent and independent mechanisms. We discuss the ways in which albumin-independent mechanisms may explain the clinical features observed in kwashiorkor.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.051
GPT teacher head0.351
Teacher spread0.300 · 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 designTheoretical or conceptual
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

Citations2
Published2021
Admission routes2
Has abstractyes

Explore more

Same venuemedRxiv→Same topicNeonatal Respiratory Health Research→French-language works237,207→