Evidence map›Paper›PMID 9204292›Full record

ReviewEmerging infectious diseases

Polycystic kidney disease: an unrecognized emerging infectious disease?

M A Miller-Hjelle, J T Hjelle, M Jones, W R Mayberry, M A Dombrink-Kurtzman, S W Peterson, D M Nowak, F S Darras

Open access · diamondAbstract readReview
In one paragraph

Review in Emerging infectious diseases. 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
0.6field-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, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

8 authors at 1 institution in 1 country.

M A Miller-HjelleDepartment of Biomedical and Therapeutic Sciences, University of Illinois College of Medicine at Peoria 61656, USA. Marcia.A.Miller@uic.edu
J T Hjelle
M Jones
W R Mayberry
M A Dombrink-Kurtzman
S W Peterson
D M Nowak
F S Darras
Illinois College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic kidney disease (PKD) is one of the most common genetic diseases in humans. We contend that it may be an emerging infectious disease and/or microbial toxicosis in a vulnerable human subpopulation. Use of a differential activation protocol for the Limulus amebocyte lysate (LAL) assay showed bacterial endotoxin and fungal (1-->3)-beta-D-glucans in cyst fluids from human kidneys with PKD. Fatty acid analysis of cyst fluid confirmed the presence of 3-hydroxy fatty acids characteristic of endotoxin. Tissue and cyst fluid from three PKD patients were examined for fungal components. Serologic tests showed Fusarium, Aspergillus, and Candida antigens. IgE, but not IgG, reactive with Fusarium and Candida were also detected in cyst fluid. Fungal DNA was detected in kidney tissue and cyst fluid from these three PKD patients, but not in healthy human kidney tissue. We examine the intertwined nature of the actions of endotoxin and fungal components, sphingolipid biology in PKD, the structure of PKD gene products, infections, and integrity of gut function to establish a mechanistic hypothesis for microbial provocation of human cystic disease. Proof of this hypothesis will require identification of the microbes and microbial components involved and multifaceted studies of PKD cell biology.

Indexed as

beta-GlucansCommunicable DiseasesDNA, FungalEndotoxinsFatty AcidsGlucansHumansPolycystic Kidney DiseasesSphingolipidsbeta-1,3-glucanbeta-GlucansDNA, FungalEndotoxinsFatty AcidsGlucansSphingolipids

Identifiers

PMID9204292
PMCPMC2627604
OpenAlexW2077589940

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.