Evidence map›Paper›PMID 37108298›Full record

ArticleInternational journal of molecular sciences2023

Tear nanoDSF Denaturation Profile Is Predictive of Glaucoma.

Viktoriia E Baksheeva, Veronika V Tiulina, Elena N Iomdina, Sergey Yu Petrov, Olga M Filippova, Nina Yu Kushnarevich, Elena A Suleiman, Rémi Eyraud, François Devred, Marina V Serebryakova and 6 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
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

16 authors at 4 institutions in 2 countries.

Viktoriia E BaksheevaBelozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 1-40 Leninskye Gory, 119992 Moscow, Russia.
Veronika V TiulinaBelozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 1-40 Leninskye Gory, 119992 Moscow, Russia.
Elena N IomdinaHelmholtz National Medical Research Center of Eye Diseases, 105062 Moscow, Russia.
Sergey Yu PetrovHelmholtz National Medical Research Center of Eye Diseases, 105062 Moscow, Russia.ORCID 0000-0001-6922-0464
Olga M FilippovaHelmholtz National Medical Research Center of Eye Diseases, 105062 Moscow, Russia.
Nina Yu KushnarevichHelmholtz National Medical Research Center of Eye Diseases, 105062 Moscow, Russia.
Elena A SuleimanHelmholtz National Medical Research Center of Eye Diseases, 105062 Moscow, Russia.ORCID 0009-0000-8444-1054
Rémi EyraudUniversité Jean Monnet Saint-Etienne, CNRS, Institut d Optique Graduate School, Laboratoire Hubert Curien UMR 5516, 42023 Saint-Etienne, France.ORCID 0000-0002-5728-4759
François DevredInstitut Neurophysiopathol, INP, Faculté des Sciences Médicales et Paramédicales, Aix Marseille Univ, CNRS, 13005 Marseille, France.ORCID 0000-0001-5990-8898
Marina V SerebryakovaBelozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 1-40 Leninskye Gory, 119992 Moscow, Russia.
Natalia G ShebardinaBelozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 1-40 Leninskye Gory, 119992 Moscow, Russia.
Dmitry V ChistyakovBelozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 1-40 Leninskye Gory, 119992 Moscow, Russia.ORCID 0000-0003-0137-8585
Ivan I SeninBelozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 1-40 Leninskye Gory, 119992 Moscow, Russia.
Vladimir A MitkevichEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-1517-1983
Philipp O TsvetkovInstitut Neurophysiopathol, INP, Faculté des Sciences Médicales et Paramédicales, Aix Marseille Univ, CNRS, 13005 Marseille, France.ORCID 0000-0002-8622-8836
Evgeni Yu ZerniiBelozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 1-40 Leninskye Gory, 119992 Moscow, Russia.ORCID 0000-0002-3013-7863
Lomonosov Moscow State University · RUHelmholtz Moscow Research Institute of Eye Diseases · RUCentre National de la Recherche Scientifique · FREngelhardt Institute of Molecular Biology · RU

Funding

ITMO Cancer of Aviesan AI4OPRussian Science Foundation 21-15-00123
6 · The paper itself

Abstract

Primary open-angle glaucoma (POAG) is a frequent blindness-causing neurodegenerative disorder characterized by optic nerve and retinal ganglion cell damage most commonly due to a chronic increase in intraocular pressure. The preservation of visual function in patients critically depends on the timeliness of detection and treatment of the disease, which is challenging due to its asymptomatic course at early stages and lack of objective diagnostic approaches. Recent studies revealed that the pathophysiology of glaucoma includes complex metabolomic and proteomic alterations in the eye liquids, including tear fluid (TF). Although TF can be collected by a non-invasive procedure and may serve as a source of the appropriate biomarkers, its multi-omics analysis is technically sophisticated and unsuitable for clinical practice. In this study, we tested a novel concept of glaucoma diagnostics based on the rapid high-performance analysis of the TF proteome by differential scanning fluorimetry (nanoDSF). An examination of the thermal denaturation of TF proteins in a cohort of 311 ophthalmic patients revealed typical profiles, with two peaks exhibiting characteristic shifts in POAG. Clustering of the profiles according to peaks maxima allowed us to identify glaucoma in 70% of cases, while the employment of artificial intelligence (machine learning) algorithms reduced the amount of false-positive diagnoses to 13.5%. The POAG-associated alterations in the core TF proteins included an increase in the concentration of serum albumin, accompanied by a decrease in lysozyme C, lipocalin-1, and lactotransferrin contents. Unexpectedly, these changes were not the only factor affecting the observed denaturation profile shifts, which considerably depended on the presence of low-molecular-weight ligands of tear proteins, such as fatty acids and iron. Overall, we recognized the TF denaturation profile as a novel biomarker of glaucoma, which integrates proteomic, lipidomic, and metallomic alterations in tears, and monitoring of which could be adapted for rapid non-invasive screening of the disease in a clinical setting.

Indexed as

GlaucomaGlaucoma, Open-AngleArtificial IntelligenceBiomarkersEyeHumansIntraocular PressureProteomicsBiomarkersbiomarkerdiagnosticfatty acidsglaucomaIgAironlactotransferrinlipocalin-1lysozyme CnanoDSFPOAGserum albumintear fluidtear proteinsthermal denaturation

Identifiers

PMID37108298
PMCPMC10139145
OpenAlexW4365204588

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.