Evidence map›Paper›PMID 15783072›Full record

ArticlePharmaceutical research2005

A randomly coiled, high-molecular-weight polypeptide exhibits increased paracellular diffusion in vitro and in situ relative to the highly ordered alpha-helix conformer.

Nazila Salamat-Miller, Montakarn Chittchang, Ashim K Mitra, Thomas P Johnston

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Pharmaceutical research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
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

4 authors at 1 institution in 1 country.

Nazila Salamat-MillerDivision of Pharmaceutical Sciences, School of Pharmacy, University of Missouri-Kansas City, Kansas City, Missouri 64110, USA.
Montakarn Chittchang
Ashim K Mitra
Thomas P Johnston
University of Missouri–Kansas City · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe current investigation was conducted to examine the effect of secondary structure of model polypeptides on their hindered paracellular diffusion.

methodsPoly-D-glutamic acid (PDGlu) was selected as one of the model polypeptides because of its ability to form two secondary structures; a negatively charged random coil and an alpha-helix with partial negative charge at pH 7.4 and 4.7, respectively. Poly-D-lysine (PDL) was selected as a positively charged random coil conformation at pH 7.4. Transport experiments were conducted across both a Caco-2 cell monolayer and the intestinal membrane of Sprague-Dawley rats. Additionally, using NMR, an estimation for the diffusion coefficient and the equivalent hydrodynamic radius for each model polypeptide was obtained.

resultsPDGlu in the randomly coiled conformation exhibited greater paracellular transport when compared to either the same polypeptide having an alpha-helix secondary structure or the positively charged, randomly coiled PDL.

conclusionsRandomly coiled PDGlu was able to permeate through the negatively charged tight junctions of both biological membranes to a greater extent than PDGlu having an alpha-helix structure and suggests that molecular flexibility associated with the random coil conformation may play a more important role than overall charge and hydrodynamic radius on its hindered paracellular diffusion.

Indexed as

AnimalsCaco-2 CellsCell MembraneDiffusionHumansIntestinal AbsorptionIntestinal MucosaMalePeptidesProtein Structure, SecondaryRatsRats, Sprague-DawleyPeptides

Identifiers

PMID15783072
OpenAlexW2040751173

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.