Evidence map›Paper›PMID 29080225›Full record

SynthesisThe Prostate2018

Molecular correlates in urine for the obesity and prostatic inflammation of BPH/LUTS patients.

Pradeep Tyagi, Saundra S Motley, Tatsuki Koyama, Mahendra Kashyap, Jeffrey Gingrich, Naoki Yoshimura, Jay H Fowke

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in The Prostate, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Mechanisms of prostatic inflammation-mediated male lower urinary tract symptoms.American journal of clinical and experimental urology · 2025
    Review
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  6. Article
  7. Article
  8. Review
  9. Article
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  13. Review
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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

7 authors at 2 institutions in 1 country.

Pradeep TyagiDepartment of Urology, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID http://orcid.org/0000-0001-6586-4545
Saundra S MotleyDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Tatsuki KoyamaDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
Mahendra KashyapDepartment of Urology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Jeffrey GingrichDepartment of Urology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Naoki YoshimuraDepartment of Urology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Jay H FowkeDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
University of Pittsburgh · USVanderbilt University Medical Center · US

Funding

University of Pittsburgh O'Brien Cooperative Research Center ProgramU54DK112079 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WANG, ZHOU · 2016 to 2020
$6.5M
Genetic and Endocrine Pathways Linking Obesity with Prostate CancerR01CA121060 · NCI · VANDERBILT UNIVERSITY · PI FOWKE, JAY H. · 2007 to 2011
$2.8M
Biomarkers of Obesity, Prostate Tissue Inflammation, and BPH ProgressionR01DK087962 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FOWKE, JAY H. · 2010 to 2013
$1.4M
NCI NIH HHS R01 CA121060NIDDK NIH HHS R01 DK087962NIDDK NIH HHS U54 DK112079
6 · The paper itself

Abstract

purposeBenign prostatic hyperplasia (BPH) is strongly associated with obesity and prostatic tissue inflammation, but the molecular underpinning of this relationship is not known. Here, we examined the association between urine levels of chemokines/adipokines with histological markers of prostate inflammation, obesity, and lower urinary tract symptoms LUTS in BPH patients.

methodsFrozen urine specimens from 207 BPH/LUTS patients enrolled in Nashville Men's Health Study were sent for blinded analysis of 11 analytes, namely sIL-1RA, CXC chemokines (CXCL-1, CXCL-8, CXCL-10), CC chemokines (CCL2, CCL3, CCL5), PDGF-BB, interleukins IL-6, IL-17, and sCD40L using Luminex™ xMAP® technology. After adjusting for age and medication use, the urine levels of analytes were correlated with the scales of obesity, prostate inflammation grade, extent, and markers of lymphocytic infiltration (CD3 and CD20) using linear regression.

resultssIL-1RA levels were significantly raised with higher BMI, waist circumference and waist-hip ratio in BPH patients after correction for multiple testing (P = 0.02). Men with greater overall extent of inflammatory infiltrates and maximal CD3 infiltration were marginally associated with CXCL-10 (P = 0.054) and CCL5 (P = 0.054), respectively. CCL3 in 15 patients with moderate to severe grade inflammation was marginally associated with maximal CD20 infiltration (P = 0.09), whereas CCL3 was undetectable in men with mild prostate tissue inflammation. There was marginal association of sCD40L with AUA-SI scores (P = 0.07).

conclusionsStrong association of sIL-1RA in urine with greater body size supports it as a major molecular correlate of obesity in the urine of BPH patients. Increased urine levels of CXCL-10, CCL5, and CCL3 were marginally associated with the scores for prostate tissue inflammation and lymphocytic infiltration. Overall, elevated urinary chemokines support that BPH is a metabolic disorder and suggest a molecular link between BPH/LUTS and prostatic inflammation.

Indexed as

AgedBody Mass IndexChemokinesCytokinesHumansMaleMiddle AgedObesityProstatic HyperplasiaProstatic NeoplasmsProstatitisUrinalysisChemokinesCytokinesBPHinflammationobesityurine

Identifiers

PMID29080225
PMCPMC5716834
OpenAlexW2767197791

What OpenQuestion holds

Textmetadata
LicenceTDM
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.