Immune-Related Gene Variants as Modifiers of Multiple Sclerosis Severity.

Olga Kulakova, Natalia Baulina, Maxim Kozin, Natalia Matveeva, Alexey Boyko, Olga Favorova, Ivan Kiselev

Abstract read

In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Olga KulakovaLaboratory of Medical Genomics, Pirogov Russian National Research Medical University, Moscow 117997, Russia.

Natalia BaulinaLaboratory of Medical Genomics, Pirogov Russian National Research Medical University, Moscow 117997, Russia.ORCID 0000-0001-8767-2958

Maxim KozinLaboratory of Medical Genomics, Pirogov Russian National Research Medical University, Moscow 117997, Russia.

Natalia MatveevaLaboratory of Medical Genomics, Pirogov Russian National Research Medical University, Moscow 117997, Russia.ORCID 0000-0002-4369-2882

Alexey BoykoLaboratory of Medical Genomics, Pirogov Russian National Research Medical University, Moscow 117997, Russia.

Olga FavorovaLaboratory of Medical Genomics, Pirogov Russian National Research Medical University, Moscow 117997, Russia.ORCID 0000-0002-5271-6698

Ivan KiselevLaboratory of Medical Genomics, Pirogov Russian National Research Medical University, Moscow 117997, Russia.ORCID 0000-0003-3366-4113

Funding

Ministry of Health of the Russian Federation 124020900018-1

6 · The paper itself

Abstract

Multiple sclerosis (MS) is a heterogeneous autoimmune disorder of the central nervous system of polygenic nature. Uncovering the genetic predictors of MS phenotype can help to explain the nature of the disease's clinical heterogeneity, and contribute to the development of novel tools for precise disease prognosis. We conducted a retrospective genetic association study of 35 polymorphic variants in immune-related genes with MS severity assessed using the Multiple Sclerosis Severity Score (MSSS) in a sample of 548 Russian relapsing-onset MS patients who have not previously received immunomodulatory therapy. Variants in the

Indexed as

Genetic Predisposition to DiseaseMultiple SclerosisAdultFemaleGenetic Association StudiesGenome-Wide Association StudyHumansMaleMiddle AgedPolymorphism, Single NucleotideRetrospective StudiesSeverity of Illness Indexgenetic polymorphismimmune-related genesMSSSmultiple sclerosisneuroinflammationseverity

Identifiers

PMID42353066

DOI10.3390/ijms27125347

PMCPMC13299223

What OpenQuestion holds

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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.