Evidence map›Paper›PMID 27239044›Full record

ArticleCell reports2016

In Silico Modeling of Liver Metabolism in a Human Disease Reveals a Key Enzyme for Histidine and Histamine Homeostasis.

Roberto Pagliarini, Raffaele Castello, Francesco Napolitano, Roberta Borzone, Patrizia Annunziata, Giorgia Mandrile, Mario De Marchi, Nicola Brunetti-Pierri, Diego di Bernardo

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 34 citations in OpenAlex.

  1. DietaryFrontiers in microbiology · 2026
    Article
  2. Tolerance to NADH/NADiScience · 2021
    Article
  3. Article
  4. Review
  5. Article
  6. Genetic buffering and potentiation in metabolism.PLoS computational biology · 2020
    Article
  7. Opportunities at the Interface of Network Science and Metabolic Modeling.Frontiers in bioengineering and biotechnology · 2020
    Review
  8. Metabolic rearrangements in primary liver cancers: cause and consequences.Nature reviews. Gastroenterology & hepatology · 2019
    Review
  9. Review
  10. Flux-dependent graphs for metabolic networks.NPJ systems biology and applications · 2018
    Article
  11. Article
  12. Review
  13. Computational Modeling in Liver Surgery.Frontiers in physiology · 2017
    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 3 institutions in 1 country.

Roberto PagliariniTelethon Institute of Genetics and Medicine, 80078 Pozzuoli, Italy.
Raffaele CastelloTelethon Institute of Genetics and Medicine, 80078 Pozzuoli, Italy.
Francesco NapolitanoTelethon Institute of Genetics and Medicine, 80078 Pozzuoli, Italy.
Roberta BorzoneTelethon Institute of Genetics and Medicine, 80078 Pozzuoli, Italy.
Patrizia AnnunziataTelethon Institute of Genetics and Medicine, 80078 Pozzuoli, Italy.
Giorgia MandrileMedical Genetics, San Luigi University Hospital, 10043 Orbassano, Italy; Department of Clinical & Biological Sciences, University of Turin, 10043 Orbassano, Italy.
Mario De MarchiMedical Genetics, San Luigi University Hospital, 10043 Orbassano, Italy; Department of Clinical & Biological Sciences, University of Turin, 10043 Orbassano, Italy.
Nicola Brunetti-PierriTelethon Institute of Genetics and Medicine, 80078 Pozzuoli, Italy; Department of Translational Medicine, Federico II University, 80131 Naples, Italy. Electronic address: brunetti@tigem.it.
Diego di BernardoTelethon Institute of Genetics and Medicine, 80078 Pozzuoli, Italy; Department of Chemical, Materials and Industrial Engineering, Federico II University, 80125 Naples, Italy. Electronic address: dibernardo@tigem.it.
Telethon Institute Of Genetics And Medicine · ITFederico II University Hospital · ITOspedale San Luigi Gonzaga · IT

Funding

Telethon TGM11MT3Telethon TGM11SB1
6 · The paper itself

Abstract

Primary hyperoxaluria type I (PH1) is an autosomal-recessive inborn error of liver metabolism caused by alanine:glyoxylate aminotransferase (AGT) deficiency. In silico modeling of liver metabolism in PH1 recapitulated accumulation of known biomarkers as well as alteration of histidine and histamine levels, which we confirmed in vitro, in vivo, and in PH1 patients. AGT-deficient mice showed decreased vascular permeability, a readout of in vivo histamine activity. Histamine reduction is most likely caused by increased catabolism of the histamine precursor histidine, triggered by rerouting of alanine flux from AGT to the glutamic-pyruvate transaminase (GPT, also known as the alanine-transaminase ALT). Alanine administration reduces histamine levels in wild-type mice, while overexpression of GPT in PH1 mice increases plasma histidine, normalizes histamine levels, restores vascular permeability, and decreases urinary oxalate levels. Our work demonstrates that genome-scale metabolic models are clinically relevant and can link genotype to phenotype in metabolic disorders.

Indexed as

Computer SimulationHomeostasisModels, BiologicalAlanineAlanine TransaminaseAnimalsCell LineGene Knockdown TechniquesHepatocytesHistamineHistidineHumansHyperoxaluria, PrimaryLiverMaleMetabolomeAlanineAlanine Transaminaseglyoxylate aminotransferaseHistamineHistidineOxalatesTransaminases

Identifiers

PMID27239044
PMCPMC4906368
OpenAlexW2407482519

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.