Evidence map›Paper›PMID 40869144›Full record

ArticleInternational journal of molecular sciences2025

Patient Stratification for Serum LDH Levels Reveals Distinct CLA

Irene García-Jiménez, Ignasi Figueras-Nart, Lídia Sans-de San Nicolás, Laia Curto-Barredo, Marta Bertolín-Colilla, Montserrat Bonfill-Ortí, Sandra Díez-Ribas, Alex Llobet-Del Pino, Antonio Guilabert-Vidal, Anna Ryzhkova and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Irene García-JiménezImmunologia Translacional, Departament de Biologia Cellular, Fisiologia i Immunologia, Facultat de Biologia, Universitat de Barcelona (UB), Parc Científic de Barcelona (PCB), 08028 Barcelona, Spain.
Ignasi Figueras-NartDepartament de Dermatologia, Hospital de Bellvitge, Universitat de Barcelona (UB), 08907 L'Hospitalet de Llobregat, Spain.
Lídia Sans-de San NicolásImmunologia Translacional, Departament de Biologia Cellular, Fisiologia i Immunologia, Facultat de Biologia, Universitat de Barcelona (UB), Parc Científic de Barcelona (PCB), 08028 Barcelona, Spain.
Laia Curto-BarredoDepartament de Dermatologia, Hospital del Mar, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Universitat Autònoma de Barcelona (UAB), 08003 Barcelona, Spain.ORCID 0000-0002-7387-4257
Marta Bertolín-ColillaDepartament de Dermatologia, Hospital del Mar, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Universitat Autònoma de Barcelona (UAB), 08003 Barcelona, Spain.ORCID 0000-0002-2514-3230
Montserrat Bonfill-OrtíDepartament de Dermatologia, Hospital de Bellvitge, Universitat de Barcelona (UB), 08907 L'Hospitalet de Llobregat, Spain.ORCID 0000-0002-3183-7538
Sandra Díez-RibasImmunologia Translacional, Departament de Biologia Cellular, Fisiologia i Immunologia, Facultat de Biologia, Universitat de Barcelona (UB), Parc Científic de Barcelona (PCB), 08028 Barcelona, Spain.
Alex Llobet-Del PinoImmunologia Translacional, Departament de Biologia Cellular, Fisiologia i Immunologia, Facultat de Biologia, Universitat de Barcelona (UB), Parc Científic de Barcelona (PCB), 08028 Barcelona, Spain.
Antonio Guilabert-VidalDepartament de Dermatologia, Hospital General de Granollers, 08402 Granollers, Spain.
Anna RyzhkovaImmunologia Translacional, Departament de Biologia Cellular, Fisiologia i Immunologia, Facultat de Biologia, Universitat de Barcelona (UB), Parc Científic de Barcelona (PCB), 08028 Barcelona, Spain.
Marta FerranDepartament de Dermatologia, Hospital del Mar, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Universitat Autònoma de Barcelona (UAB), 08003 Barcelona, Spain.
Ramon M PujolDepartament de Dermatologia, Hospital del Mar, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Universitat Autònoma de Barcelona (UAB), 08003 Barcelona, Spain.ORCID 0000-0002-5622-6055
Luis F Santamaria-BabíImmunologia Translacional, Departament de Biologia Cellular, Fisiologia i Immunologia, Facultat de Biologia, Universitat de Barcelona (UB), Parc Científic de Barcelona (PCB), 08028 Barcelona, Spain.ORCID 0000-0002-1674-6654

Funding

Agency for Management of University and Research Grants of the Generalitat de Catalunya FI-SDUR 2020Ministerio de Economía y Competitividad e Instituto de Salud Carlos III PI21/00335Ministerio de Economía y Competitividad e Instituto de Salud Carlos III PI21/01179University of Barcelona 2021 SGR 01433University of Barcelona PREDOCS-UB 2020
6 · The paper itself

Abstract

Lactate dehydrogenase (LDH) is a serum biomarker well known to correlate with disease severity in atopic dermatitis (AD). The aim of this study was to explore the cutaneous immune responses and the clinical profile of AD patients in relation to serum LDH levels. To this end, 47 untreated, adult patients with moderate-to-severe AD were stratified by median levels of serum LDH. Circulating memory T-cell responses to house dust mite (HDM) extract, in the presence of autologous lesional epidermal cells, were compared between AD subgroups. The LDH

Indexed as

CytokinesDermatitis, AtopicL-Lactate DehydrogenasePyroglyphidaeT-LymphocytesAdultAnimalsBiomarkersComorbidityFemaleHumansImmunoglobulin EMaleMiddle AgedRhinitis, AllergicYoung AdultBiomarkersCytokinesImmunoglobulin EL-Lactate Dehydrogenaseallergic comorbiditiesatopic dermatitiscutaneous lymphocyte-associated antigenhouse dust mitelactate dehydrogenasepatient stratification

Identifiers

PMID40869144
PMCPMC12387014

What OpenQuestion holds

Textmetadata
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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.