Evidence map›Paper›PMID 34841082›Full record

ArticleClinical mass spectrometry (Del Mar, Calif.)2019

Identification of potential endometriosis biomarkers in peritoneal fluid and blood plasma via shotgun lipidomics.

Natalia Starodubtseva, Vitaliy Chagovets, Anna Borisova, Dinara Salimova, Natalia Aleksandrova, Konstantin Chingin, Huanwen Chen, Vladimir Frankevich

Open access · greenAbstract read
In one paragraph

Article in Clinical mass spectrometry (Del Mar, Calif.), 2019. 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
1.6field-weighted citation impact, top 17% 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, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Early Prediction of Fetal Macrosomia Through Maternal Lipid Profiles.International journal of molecular sciences · 2025
    Article
  5. Metabolomics for the identification of biomarkers in endometriosis.Archives of gynecology and obstetrics · 2024
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  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 3 institutions in 2 countries.

Natalia StarodubtsevaV. I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, Moscow.
Vitaliy ChagovetsV. I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, Moscow.
Anna BorisovaV. I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, Moscow.
Dinara SalimovaV. I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, Moscow.
Natalia AleksandrovaV. I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, Moscow.
Konstantin ChinginJiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, China.
Huanwen ChenJiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, China.
Vladimir FrankevichV. I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, Moscow.
National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of the Russian Federation · RUEast China University of Technology · CNMoscow Institute of Physics and Technology · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometriosis is a recurrent and benign gynecological disorder, defined by the ectopic presence of endometrium. About 10% of reproductive-aged women suffer from endometriosis. There are no non-invasive or minimally invasive tests available in clinical practice to accurately diagnose endometriosis today. Here, we present our efforts to determine the diagnostic accuracy of biomarkers in peritoneal fluid and blood plasma using flow injection analysis with electrospray ionization tandem mass spectrometry (ESI-MS/MS) in 70 women with endometriosis and 20 women from a control group. The presence of endometriosis was confirmed by surgical findings and post-operative pathological examination. A qualitative and quantitative evaluation of the lipids in peritoneal fluids and blood plasma was carried out using electrospray ionization mass spectrometry (ESI-MS). The analysis revealed more than 140 molecular species of lipids, most of which pertained to five classes: phosphatidylcholines, phosphatidylethanolamines, sphingomyelins, di- and triglycerides. The data were analyzed using a statistical multifactorial method (i.e., PLS-DA). It was found that 9 potential biomarkers of endometriosis (LPC 16:0, PE O-20:0, PE O 34:1, PC 36:2, PC 36:4, PC 36:5, PC 38:4, PC 38:6 and SM 34:1) are common in blood plasma and peritoneal fluid, supporting connection with the pathological process. The sensitivity of the method developed for plasma was 93% with a specificity of 95%; for peritoneal fluid, the sensitivity was 90% and the specificity 95%. Accordingly, plasma is the most suitable biological fluid for clinical diagnostics of endometriosis. Further validation of these lipids as serologic biomarkers may enhance non-invasive diagnostic tools for patients with suspected endometriosis and reduce the frequency of diagnostic laparoscopy.

Indexed as

BMI, Body Mass IndexDG, DiglycerideEDTA, Ethylenediaminetetraacetic AcidESI, Electrospray IonizationFDR, False Discovery RateLOOCV, Leave-One-Out Cross-ValidationLPC, LysophosphatidylcholineMS, Mass SpectrometryMS/MS, Tandem Mass Spectrometrym/z, Mass to Charge RatioPCA, Principal Component AnalysisPC, PhosphatidylcholinePE, PhosphoethanolaminePLS-DA, Partial Least Squares-Discriminant AnalysisQC, Quality ControlRPM, Revolutions per MinuteSMPD, Sphingomyelin PhosphodiesteraseSM, SphingomyelinTG, TriglyceridesTIC, Total Ion Current

Identifiers

PMID34841082
PMCPMC8620138
OpenAlexW2947345849

What OpenQuestion holds

Textmetadata
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.