Evidence map›Paper›PMID 25807366›Full record

ArticlePloS one2015

Urinary proteins, vitamin D and genetic polymorphisms as risk factors for febrile urinary tract infection and relation with bacteremia: a case control study.

Willize E van der Starre, Cees van Nieuwkoop, Uginia Thomson, Marleen S M Zijderveld-Voshart, Jan Pieter R Koopman, Tanny J K van der Reijden, Jaap T van Dissel, Esther van de Vosse

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. 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
2.8field-weighted citation impact, top 9% 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, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Uromodulin biology.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Review
  7. Review
  8. Review
  9. Uromodulin (Tamm-Horsfall protein): guardian of urinary and systemic homeostasis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Observational
  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

8 authors at 2 institutions in 1 country.

Willize E van der StarreDepartment of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Cees van NieuwkoopDepartment of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands; Department of Internal Medicine, Haga Hospital, the Hague, The Netherlands.
Uginia ThomsonDepartment of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Marleen S M Zijderveld-VoshartDepartment of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Jan Pieter R KoopmanDepartment of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Tanny J K van der ReijdenDepartment of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Jaap T van DisselDepartment of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Esther van de VosseDepartment of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Leiden University Medical Center · NLHaga Hospital · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objective/purposeFebrile urinary tract infection (UTI) is a common bacterial disease that may lead to substantial morbidity and mortality especially among the elderly. Little is known about biomarkers that predict a complicated course. Our aim was to determine the role of certain urinary cytokines or antimicrobial proteins, plasma vitamin D level, and genetic variation in host defense of febrile UTI and its relation with bacteremia.

methodsA case-control study. Out of a cohort of consecutive adults with febrile UTI (n = 787) included in a multi-center observational cohort study, 46 cases with bacteremic E.coli UTI and 45 cases with non-bacteremic E.coli UTI were randomly selected and compared to 46 controls. Urinary IL-6, IL-8, LL37, β-defensin 2 and uromodulin as well as plasma 25-hydroxyvitamin D were measured. In 440 controls and 707 UTI patients polymorphisms were genotyped in the genes CXCR1, DEFA4, DEFB1, IL6, IL8, MYD88, UMOD, TIRAP, TLR1, TLR2, TLR5 and TNF.

resultsIL-6, IL-8, and LL37 are different between controls and UTI patients, although these proteins do not distinguish between patients with and without bacteremia. While uromodulin did not differ between groups, inability to produce uromodulin is more common in patients with bacteremia. Most participants in the study, including the controls, had insufficient vitamin D and, at least in winter, UTI patients have lower vitamin D than controls. Associations were found between the CC genotype of IL6 SNP rs1800795 and occurrence of bacteremia and between TLR5 SNP rs5744168 and protection from UTI. The rare GG genotype of IL6 SNP rs1800795 was associated with higher β-defensin 2 production.

conclusionAlthough no biomarker was able to distinguish between UTI with or without bacteremia, two risk factors for bacteremia were identified. These were inability to produce uromodulin and an IL6 rs1800795 genotype.

Indexed as

AdultAgedAged, 80 and overAntimicrobial Cationic PeptidesBacteremiabeta-DefensinsCase-Control StudiesCathelicidinsFemaleFeverHumansInterleukin-6Interleukin-8MaleMiddle AgedPolymorphism, Genetic25-hydroxyvitamin DAntimicrobial Cationic Peptidesbeta-DefensinsCathelicidinsDEFB1 protein, humanInterleukin-6Interleukin-8UromodulinVitamin D

Identifiers

PMID25807366
PMCPMC4373833
OpenAlexW1973723079

What OpenQuestion holds

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LicenceCC BY
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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.