Evidence map›Paper›PMID 21161335›Full record

ArticlePharmaceutical research2011

Effects of metabolic acidosis on expression levels of renal drug transporters.

Arong Gaowa, Hideyuki Motohashi, Toshiya Katsura, Ken-ichi Inui

Abstract read
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In one paragraph

Article in Pharmaceutical research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Renal Drug Transporters and Drug Interactions.Clinical pharmacokinetics · 2017
    Review
  5. 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

4 authors at 2 institutions in 1 country.

Arong GaowaDepartment of Pharmacy, Kyoto University Hospital Faculty of Medicine, Kyoto University, Sakyo-ku, Kyoto 606-8507, Japan.
Hideyuki Motohashi
Toshiya Katsura
Ken-ichi Inui
Kyoto University Hospital · JPKyoto Pharmaceutical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn the renal proximal tubular cells, various transporters play important roles in the secretion and reabsorption of drugs. When metabolic acidosis is induced, a number of adaptive changes occur in the kidney. The purpose of this study was to clarify the changes of drug transporters under the acidosis and the effects of these changes on urinary drug excretion.

methodsWistar/ST rats were given 1.5% NH₄Cl in tap water for 48 h to induce the acidosis. Pharmacokinetics of PSP or metformin was evaluated. In addition, expression levels of drug transporters were examined by Western Blotting.

resultsThe renal clearance of PSP was markedly decreased, whereas the creatinine clearance and renal clearance of metformin were unchanged. Furthermore, Western blots indicated that the protein expression level of organic anion transporter (OAT) 3 was decreased. In contrast to OAT3 levels, OAT1 and organic cation transporter (OCT) 2 levels were unaffected. An immunohistochemical analysis showed that the OAT3 protein in the proximal tubules was localized in the basolateral membrane both of the normal and the acidosis rats.

conclusionThe decrease of renal excretion of anionic drugs during metabolic acidosis might be partly due to a reduction in the level of OAT3 protein.

Indexed as

Acidosis, Renal TubularAnimalsColoring AgentsHypoglycemic AgentsMaleMetforminOrganic Anion Transporters, Sodium-IndependentPhenolsulfonphthaleinRatsRats, WistarColoring AgentsHypoglycemic AgentsMetforminOrganic Anion Transporters, Sodium-IndependentPhenolsulfonphthalein

Identifiers

PMID21161335
OpenAlexW1998596294

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.