Evidence map›Paper›PMID 9034226›Full record

ArticlePharmaceutical research1997

Renal disposition of recombinant human interleukin-11 in the isolated perfused rat kidney.

A Takagi, Y Yabe, Y Oka, K Sawai, Y Takakura, M Hashida

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Article in Pharmaceutical research, 1997. 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
0.2field-weighted citation impact, top 50% 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, 7 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

A TakagiDepartment of DDS Research, Novel Pharma Research Laboratories, Yamanouchi Pharmaceutical Co., Ltd., Ozumi Yaizu, Shizuoka, Japan.
Y Yabe
Y Oka
K Sawai
Y Takakura
M Hashida
Kyoto Pharmaceutical University · JPKyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo clarify the mechanism of the renal clearance of recombinant human interleukin- 11 (rhIL- 1), we investigated the renal disposition characteristics of rhIL-11 in the perfused rat kidney.

methodsThe disposition characteristics of (111)In-labeled rhIL-11 were analyzed using a single-pass indicator dilution technique and statistical moment analysis in the perfused rat kidney under filtering and nonfiltering conditions.

resultsSteady-state distribution volume (Vd) calculated from the venous outflow patterns of rhIL-11 at the doses of 0.3 to 10 microg/kidney was between 0.35 and 0.40 ml/g kidney. However, Vd at the highest dose decreased to a value almost identical to that of bovine serum albumin, suggesting that there is a reversible and saturable interaction between the capillary wall and rhIL-11 molecule. In filtering kidney, a remarkable accumulation of rhIL-11 was observed while its urinary excretion was highly restricted at all doses. In nonfiltering kidney, rhIL-11 showed a decreased but still significant renal uptake. Taken together, the marked renal uptake of rhIL-11 may be explained by both efficient tubular reabsorption and significant uptake from the capillary side. These processes were not saturable within the tested dose range. These characteristics of rhIL-11 are likely based on non-specific electrostatic interaction with the tissues due to its cationic charge in the cytokine.

conclusionsThe renal disposition processes of rhIL-11 were clarified at organ level in a quantitative manner. These findings agree well with previous observations in an in vivo disposition study in mice.

Indexed as

AnimalsHumansIndium RadioisotopesInterleukin-11KidneyMalePerfusionRatsRats, WistarRecombinant ProteinsTissue DistributionIndium RadioisotopesInterleukin-11Recombinant Proteins

Identifiers

PMID9034226
OpenAlexW112681685

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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.