Evidence map›Paper›PMID 29546058›Full record

ArticleBioMed research international2018

UPLC-QTOF MS-Based Serum Metabolomic Profiling Analysis Reveals the Molecular Perturbations Underlying Uremic Pruritus.

Qiong Wu, Huan Zhang, Jia-Rong Ding, Zhan-Ying Hong, Hao Wu, Zhen-Yu Zhu, Zhi-Yong Guo, Yi-Feng Chai

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Metabolites Associated With Uremic Symptoms in Patients With CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
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.

Qiong WuSchool of Pharmacy, Second Military Medical University, Shanghai 200433, China.
Huan ZhangDepartment of Nephrology, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Jia-Rong DingDepartment of Nephrology, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Zhan-Ying HongSchool of Pharmacy, Second Military Medical University, Shanghai 200433, China.
Hao WuDepartment of Nephrology, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Zhen-Yu ZhuAnalysis and Measurement Center, School of Pharmacy, Second Military Medical University, Shanghai 200433, China.ORCID 0000-0002-2378-2645
Zhi-Yong GuoDepartment of Nephrology, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.ORCID 0000-0001-7816-3270
Yi-Feng ChaiSchool of Pharmacy, Second Military Medical University, Shanghai 200433, China.ORCID 0000-0001-9032-3089
Second Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the most troublesome complications in patients with chronic renal disease, the etiology of uremic pruritus remains unknown, and the current therapeutic approaches are limited and unsatisfactory. To identify potential biomarkers for improving diagnosis and treatment and obtain a better understanding of the pathogenesis of uremic pruritus, we compared serum metabolome profiles of severe uremic pruritus (HUP) patients with mild uremic pruritus (LUP) patients using ultraperformance liquid chromatography-quadruple time-of-flight mass spectrometry (UPLC-QTOF MS). Partial least squares discriminant analysis (PLS-DA) showed that the metabolic profiles of HUP patients are distinguishable from those of LUP patients. Combining multivariate with univariate analysis, 22 significantly different metabolites between HUP and LUP patients were identified. Nine of the 22 metabolites in combination were characterized by a maximum area-under-receiver operating characteristic curve (AUC = 0.899) with a sensitivity of 85.1% and a specificity of 83.0% distinguishing HUP and LUP. Our results indicate that serum metabolome profiling might serve as a promising approach for the diagnosis of uremic pruritus and that the identified biomarkers may improve the understanding of pathophysiology of this disorder. Because the 9 metabolites were phospholipids, uremic toxins, and steroids, further studies may reveal their possible role in the pathogenesis of uremic pruritus.

Indexed as

MetabolomeMetabolomicsAdultBiomarkersChromatography, High Pressure LiquidFemaleHumansMaleMiddle AgedPruritusTandem Mass SpectrometryBiomarkers

Identifiers

PMID29546058
PMCPMC5818897
OpenAlexW2783426786

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.