Evidence map›Paper›PMID 9481688›Full record

ArticleThe Journal of physiology1998

Autoregulation of renal blood flow in the conscious dog and the contribution of the tubuloglomerular feedback.

A Just, U Wittmann, H Ehmke, H R Kirchheim

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In one paragraph

Article in The Journal of physiology, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 99 citations in OpenAlex.

  1. Feline comorbidities: cardiovascular and kidney diseases.Journal of feline medicine and surgery · 2026
    Review
  2. Article
  3. Article
  4. The denervation or activation of renal sympathetic nerve and renal blood flow.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2023
    Review
  5. Article
  6. T-type CaChannels (Austin, Tex.) · 2017
    Review
  7. Article
  8. Renal nerves dynamically regulate renal blood flow in conscious, healthy rabbits.American journal of physiology. Regulatory, integrative and comparative physiology · 2016
    Article
  9. Renal autoregulation in health and disease.Physiological reviews · 2015
    Review
  10. Article
  11. Modeling transport in the kidney: investigating function and dysfunction.American journal of physiology. Renal physiology · 2010
    Review
  12. Article
  13. Article
  14. 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.

A JustI. Physiologisches Institut, Ruprecht-Karls-Universität, Heidelberg, Germany. Justy@novsrv1.pio1.uni-heidelberg.de
U Wittmann
H Ehmke
H R Kirchheim
Heidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

1. The aim of this study was to investigate the autoregulation of renal blood flow under physiological conditions, when challenged by the normal pressure fluctuations, and the contribution of the tubuloglomerular feedback (TGF). 2. The transfer function between 0.0018 and 0.5 Hz was calculated from the spontaneous fluctuations in renal arterial blood pressure (RABP) and renal blood flow (RBF) in conscious resting dogs. The response of RBF to stepwise artificially induced reductions in RABP was also studied (stepwise autoregulation). 3. Under control conditions (n = 12 dogs), the gain of the transfer function started to decrease, indicating improving autoregulation, below 0.06-0.15 Hz (t = 7-17 s). At 0.027 Hz a prominent peak of high gain was found. Below 0.01 Hz (t > 100 s), the gain reached a minimum (maximal autoregulation) of -6.3 +/- 0.6 dB. The stepwise autoregulation (n = 4) was much stronger (-19.5 dB). The time delay of the transfer function was remarkably constant from 0.03 to 0.08 Hz (high frequency (HF) range) at 1.7s and from 0.0034 to 0.01 Hz (low frequency) (LF) range) at 14.3 s, respectively. 4. Nifedipine, infused into the renal artery, abolished the stepwise autoregulation (-2.0 +/- 1.1 dB, n = 3). The gain of the transfer function (n = 4) remained high down to 0.0034 Hz; in the LF range it was higher than in the control (0.3 +/- 1.0 dB, P < 0.05). The time delay in the HF range was reduced to 0.5 s (P < 0.05). 5. After ganglionic blockade (n = 7) no major changes in the transfer function were observed. 6. Under furosemide (frusemide) (40 mg + 10 MG h-1 or 300 mg + 300 mg h-1 i.v..) the stepwise autoregulation was impaired to -7.8 +/- 0.3 or 6.7 +/- 1.9 dB, respectively (n = 4). In the transfer function (n = 7 or n = 4) the peak at 0.027 Hz was abolished. The delay in the LF range was reduced to -1.1 or -1.6 s, respectively. The transfer gain in the LF range (-5.5 +/- 1.2 or -3.8 +/- 0.8 dB, respectively) did not differ from the control but was smaller than that under nifedipine (P < 0.05). 7. It is concluded that the ample capacity for regulation of RBF is only partially employed under physiological conditions. The abolition by nifedipine and the negligible effect of ganglionic blockade show that above 0.0034 Hz it is almost exclusively due to autoregulation by the kidney itself. TGF contributes to the maximum autoregulatory capacity, but it is not required for the level of autoregulation expended under physiological conditions. Around 0.027 Hz, TGF even reduces the degree of autoregulation.

Indexed as

AnimalsAutonomic Nervous SystemBlood PressureCalcium Channel BlockersCholinergic AntagonistsDiureticsDogsFurosemideHeart RateHexamethoniumHomeostasisKidneyKidney GlomerulusKidney TubulesNifedipineRenal CirculationCalcium Channel BlockersCholinergic AntagonistsDiureticsFurosemideHexamethoniumNifedipine

Identifiers

PMID9481688
PMCPMC2230714
OpenAlexW2070588635

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.