Evidence map›Paper›PMID 30673830›Full record

ArticleWorld journal of urology2019

Liquid chromatography-mass spectrometry identification of serum biomarkers for nocturia in aged men.

Satoru Kira, Takahiko Mitsui, Tatsuya Miyamoto, Tatsuya Ihara, Hiroshi Nakagomi, Yuka Hashimoto, Hajime Takamatsu, Masayuki Tanahashi, Masahiro Takeda, Norifumi Sawada and 2 more

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Article in World journal of urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. 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

12 authors at 4 institutions in 2 countries.

Satoru KiraDepartment of Urology, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, Shimokato 1110, Chuo, Yamanashi, 409-3898, Japan. skira@yamanashi.ac.jp.ORCID http://orcid.org/0000-0001-5282-3832
Takahiko MitsuiDepartment of Urology, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, Shimokato 1110, Chuo, Yamanashi, 409-3898, Japan.
Tatsuya MiyamotoDepartment of Urology, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, Shimokato 1110, Chuo, Yamanashi, 409-3898, Japan.
Tatsuya IharaDepartment of Urology, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, Shimokato 1110, Chuo, Yamanashi, 409-3898, Japan.
Hiroshi NakagomiDepartment of Urology, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, Shimokato 1110, Chuo, Yamanashi, 409-3898, Japan.
Yuka HashimotoPharmacology Research Labs, Astellas Pharma Inc, Tsukuba, Japan.
Hajime TakamatsuPharmacology Research Labs, Astellas Pharma Inc, Tsukuba, Japan.
Masayuki TanahashiPharmacology Research Labs, Astellas Pharma Inc, Tsukuba, Japan.
Masahiro TakedaPharmacology Research Labs, Astellas Pharma Inc, Tsukuba, Japan.
Norifumi SawadaDepartment of Urology, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, Shimokato 1110, Chuo, Yamanashi, 409-3898, Japan.
Karl-Erik AnderssonInstitute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Masayuki TakedaDepartment of Urology, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, Shimokato 1110, Chuo, Yamanashi, 409-3898, Japan.
Astellas Pharma (Japan) · JPUniversity of Yamanashi · JPUniversity of Yamanashi Hospital · JPWake Forest University · US

Funding

Astellas Pharma a3
6 · The paper itself

Abstract

purposeWe aimed to investigate the association between nocturia and serum metabolites identified using metabolomics analysis.

methodsThis study enrolled 66 men aged 65-80 years, recruited from the outpatient department of a university hospital. The participants were stratified as follows: Nocturia group [45 men with any total international prostate symptom score (IPSS) and an average of 3 nights ≥ 1.5 micturitions/night] and Control group (21 men with total IPSS < 8 and an average of 3 nights < 1.5 micturitions/night). The 24-h frequency-volume chart, IPSS, and Quality-of-Life questionnaire were used to evaluate micturition behavior. Serum metabolite profiles were obtained using liquid chromatography-mass spectrometry (LC-MS)-based metabolomics analysis and compared between the two groups using the unpaired t test. The relationship between serum metabolites and nocturia was determined using multivariable logistic regression analysis.

resultsThere were no differences in background factors between the Nocturia and Control groups. In the IPSS, mean total scores in the Nocturia and Control groups were 12.4 and 4.0, respectively. On frequency-volume chart analysis, nocturnal urine volume and micturition frequency during daytime and nighttime were significantly higher in the Nocturia group. LC-MS highlighted 13 serum metabolites as potential biomarkers of nocturia. On multivariate analysis, increased levels of palmitoylethanolamide, 4-hydroxydocosahexaenoic acid, 9-hydroxyoctadecadienoic acid, 20-hydroxydocosahexaenoic acid, 13-hydroxyoctadecadienoic acid, arachidonoylethanolamide, eicosapentaenoic acid, 12-hydroxy-eicosatetraenoic acid, and arachidonic acid were associated with nocturia.

conclusionsIn aged men, the pathogenesis of nocturia involves abnormal metabolism in several signaling pathways involving omega-3 and omega-6 polyunsaturated fatty acids, as well as endocannabinoids.

Indexed as

Chromatography, LiquidMass SpectrometryAgedAged, 80 and overBiomarkersHumansMaleMetabolomicsNocturiaProspective StudiesBiomarkersAgedLiquid chromatography mass spectrometryMetabolomicsNocturia

Identifiers

PMID30673830
OpenAlexW2912296898

What OpenQuestion holds

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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.