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Record W1853579301 · doi:10.1017/cbo9781139012102.032

Tyrosinemia

2014· book-chapter· en· W1853579301 on OpenAlexaff
Grant Mitchell, Pierre A. Russo, Josée Dubois, Fernando Alvarez

Bibliographic record

VenueCambridge University Press eBooks · 2014
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsTyrosinemiaMedicineLiver transplantationTransplantationHepatologyPrimary hyperoxaluriaInborn error of metabolismInternal medicinePediatricsTyrosineBiologyBiochemistry

Abstract

fetched live from OpenAlex

Introduction Hepatorenal tyrosinemia is a fascinating inborn error of metabolism that can affect numerous organs, particularly the liver, kidneys, and peripheral nerves. (For simplicity, this chapter uses the generic term tyrosinemia to refer to hepatorenal tyrosinemia (also known as fumarylacetoacetate hydrolase deficiency, tyrosinemia type I or congenital tyrosinosis; MIM 27670). Other forms of hypertyrosinemia are referred to by their specific names.) The first report of a patient with elevated blood tyrosine was in 1932 [1]. Patients with a more typical clinical and biochemical picture of tyrosinemia were then described in the late 1950s [2]. Since then, more than 500 patients have been reported in the literature or enrolled in the International NTBC Trial (of 2-(2-nitro-4-trifluoromethyl benzoyl)-1,3-cyclohexanedione (nitisinone)). Previously, almost all patients died in infancy and early childhood, and only isolated case reports described affected adults. In the 50 years since the description of tyrosinemia, the course of the disease has been improved successively by the introduction of diet therapy, neonatal screening, and hepatic transplantation. The advent of liver and kidney transplantation as a definitive treatment revolutionized the outcome [3]. Recently, the availability of nitisinone, a chemical commercialized as Orfadin (Swedish Orphan International, Stockholm, Sweden), has provided hope for a non-surgical solution for some patients [4]. On a fundamental level, tyrosinemia raises questions in hepatology, biochemical and population genetics, cell biology, oncology, and public health. Pathophysiology Tyrosinemia is caused by a deficiency of fumarylacetoacetate hydrolase (FAH; EC 3.7.1.2), the last enzyme of tyrosine degradation (Figure 31.1a). The site of the primary metabolic block in tyrosinemia was elegantly deduced by Lindblad et al . in 1977 [5] and subsequently confirmed enzymatically by others [6]. The enzyme is a 419 amino acid residue cytosolic homodimer present in the liver and to some extent in the kidney, lymphocytes, erythrocytes, fibroblasts, and chorionic villi [7]. Human liver FAH cDNAs (GenBank NM000137) and the human gene FAH have been cloned and sequenced and the human gene mapped to chromosome 15q23-q25 [8]. Early studies of tyrosinemia showed that other enzymes of tyrosine degradation, particularly 4-hydroxyphenylpyruvate dioxygenase (4HPPD), are reduced in tyrosinemic liver. These changes have subsequently been shown to be secondary to the deficiency of FAH.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.051
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0510.024

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 head0.010
GPT teacher head0.185
Teacher spread0.175 · 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 designNot applicable
Domainnot available
GenreOther

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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Citations2
Published2014
Admission routes1
Has abstractyes

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