Evidence map›Paper›PMID 16283203›Full record

ArticlePflugers Archiv : European journal of physiology2006

Prediction of glycylsarcosine transport in Caco-2 cell lines expressing PEPT1 at different levels.

Megumi Irie, Tomohiro Terada, Masahiro Tsuda, Toshiya Katsura, Ken-Ichi Inui

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Pflugers Archiv : European journal of physiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Megumi IrieDepartment of Pharmacy, Kyoto University Hospital, Faculty of Medicine, Kyoto University, Sakyo-ku, 606-8507, Kyoto, Japan.
Tomohiro Terada
Masahiro Tsuda
Toshiya Katsura
Ken-Ichi Inui
Kyoto University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

H(+)-coupled peptide transporter 1 (PEPT1) and the basolateral peptide transporter mediate the absorption of small peptides and peptide-like drugs in the small intestine. Recently, we constructed a mathematical model to simulate glycylsarcosine (Gly-Sar) transport in Caco-2 cells. In this study, we attempted to adjust our model to a change in the expression level of PEPT1. To obtain cell lines expressing PEPT1 at different levels, recloning of Caco-2 cells was performed, and nine clones were isolated. Compared with parental cells, clones 1 and 9 exhibited the lowest and the highest levels of [(14)C]Gly-Sar uptake from the apical side, respectively, whereas activities of the basolateral peptide transporter were comparable. Kinetic analysis demonstrated that the difference in the activity of PEPT1 was accounted by variations in V (max). Moreover, PEPT1 mRNA level was positively related to the activity of [(14)C]Gly-Sar uptake (r=0.55). Based on these findings, the V (max) value of PEPT1 was defined as a variable using the amount of PEPT1 mRNA as an index of the expression level. With this improved model, Gly-Sar transport in clones 1 and 9 was well-predicted, suggesting that our model can simulate Gly-Sar transport in cells expressing PEPT1 at different levels.

Indexed as

Biological TransportCaco-2 CellsCarbon RadioisotopesComputer SimulationDipeptidesEpitheliumGene ExpressionHumansKineticsModels, BiologicalPeptide Transporter 1RNA, MessengerSymportersCarbon RadioisotopesDipeptidesglycylsarcosinePeptide Transporter 1RNA, MessengerSymporters

Identifiers

PMID16283203
OpenAlexW1979932775

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.