Evidence map›Paper›PMID 34055894›Full record

ArticleFrontiers in molecular biosciences2021

Metabolomics Reveals Differences in Aqueous Humor Composition in Patients With and Without Pseudoexfoliation Syndrome.

Diana Anna Dmuchowska, Karolina Pietrowska, Pawel Krasnicki, Tomasz Kowalczyk, Magdalena Misiura, Emil Tomasz Grochowski, Zofia Mariak, Adam Kretowski, Michal Ciborowski

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. 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
2.4field-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

14 citing papers in PubMed, 24 citations in OpenAlex.

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  7. LC-MS-Based Metabolic Fingerprinting of Vitreous Humor.Methods in molecular biology (Clifton, N.J.) · 2025
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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

9 authors at 1 institution in 1 country.

Diana Anna DmuchowskaDepartment of Ophthalmology, Medical University of Bialystok, Bialystok, Poland.
Karolina PietrowskaMetabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, Bialystok, Poland.
Pawel KrasnickiDepartment of Ophthalmology, Medical University of Bialystok, Bialystok, Poland.
Tomasz KowalczykMetabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, Bialystok, Poland.
Magdalena MisiuraDepartment of Pharmaceutical Analysis, Medical University of Bialystok, Bialystok, Poland.
Emil Tomasz GrochowskiDepartment of Ophthalmology, Medical University of Bialystok, Bialystok, Poland.
Zofia MariakDepartment of Ophthalmology, Medical University of Bialystok, Bialystok, Poland.
Adam KretowskiMetabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, Bialystok, Poland.
Michal CiborowskiMetabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, Bialystok, Poland.
Medical University of Białystok · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudoexfoliation syndrome (XFS) is stress- or inflammation-induced elastosis accompanied by excessive production of microfibrils and their deposition in the anterior segment of the eye. Approximately 60-70 million people are affected by XFS worldwide. It is a component of a systemic disorder, considered a major risk factor for accelerated cataract formation, cataract surgery complications and development of glaucoma, which untreated or inadequately treated may lead to blindness. Moreover, XFS has been associated with cardiovascular and cerebrovascular morbidity, dementia, sensorineural hearing loss and pelvic organ prolapse. The pathogenesis of XFS has not been fully elucidated yet. Aqueous humor (AH) is a transparent fluid filling the anterior and posterior chambers of the eye. Determination of AH metabolites that are characteristic for XFS may provide valuable information about the molecular background of this ocular disorder. The aim of this study was to compare the composition of AH in XFS and non-XFS patients undergoing cataract surgery. The AH samples from 34 patients (15 with XFS and 19 without) were analyzed using liquid chromatography coupled to a Quadrupole Time-of-Flight mass spectrometer (LC-QTOF-MS). The obtained metabolic fingerprints were analyzed using multivariate statistics. Eleven statistically significant metabolites were identified. Compared with the non-XFS group, the AH of patients with XFS contained significantly lower levels of amino acids and their derivatives, for example, arginine (-31%, VIP = 2.38) and homo-arginine (-19%, VIP = 1.38). Also, a decrease in the levels of two acylcarnitines, hydroxybutyrylcarnitine (-29%, VIP = 1.24) and decatrienoylcarnitine (-46%, VIP = 1.89), was observed. However, the level of indoleacetaldehyde in XFS patients was significantly higher (+96%, VIP = 2.64). Other significant metabolites were two well-recognized antioxidants, ascorbic acid (-33%, VIP = 2.11) and hydroxyanthranilic acid (-33%, VIP = 2.25), as well as S-adenosylmethionine, a compound with anti-inflammatory properties (-29%, VIP = 1.93). Metabolic pathway analysis demonstrated that the identified metabolites belonged to eight metabolic pathways, with cysteine and methionine metabolism as well as arginine and proline metabolism being the most frequently represented. XFS can be associated with enhanced oxidative stress and inflammation, as well as with the disturbances of cellular respiration and mitochondrial energy production. Implementation of non-targeted metabolomics provided a better insight into the still not fully understood pathogenesis of XFS.

Indexed as

aqueous humormass spectrometrymetabolomicsophthalmologypseudoexfoliation syndrome

Identifiers

PMID34055894
PMCPMC8160430
OpenAlexW3161557940

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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.