Evidence map›Paper›PMID 41690949›Full record

ArticleScientific data2026

A dataset of paired blood mRNA and microRNA sequencing across acute septic shock and recovery.

Krisztina Molnár, Katalin Maricza, Zsuzsanna Elek, Réka Kovács-Nagy, Ábel Fóthi, Zsófia Bánlaki, Eszter Losoncz, Bernadett Húri, János Kádas, Gergely Keszler and 1 more

Abstract read
In one paragraph

Article in Scientific data, 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
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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

11 authors.

Krisztina Molnár *Institute of Biochemistry and Molecular Biology, Department of Molecular Biology, Semmelweis University, Budapest, Hungary.
Katalin Maricza *Institute of Biochemistry and Molecular Biology, Department of Molecular Biology, Semmelweis University, Budapest, Hungary.
Zsuzsanna ElekInstitute of Biochemistry and Molecular Biology, Department of Molecular Biology, Semmelweis University, Budapest, Hungary.
Réka Kovács-NagyInstitute of Biochemistry and Molecular Biology, Department of Molecular Biology, Semmelweis University, Budapest, Hungary.
Ábel FóthiInstitute of Biochemistry and Molecular Biology, Department of Molecular Biology, Semmelweis University, Budapest, Hungary.ORCID http://orcid.org/0000-0001-7398-9700
Zsófia BánlakiInstitute of Biochemistry and Molecular Biology, Department of Molecular Biology, Semmelweis University, Budapest, Hungary.
Eszter LosonczDoctoral School, Semmelweis University, Budapest, Hungary.ORCID http://orcid.org/0000-0001-6426-8821
Bernadett HúriPéterfy Sándor Street Hospital and Outpatient Clinic, Budapest, Hungary.
János KádasUD-GENOMED Medical Genomic Technologies Ltd., Debrecen, Hungary.
Gergely KeszlerInstitute of Biochemistry and Molecular Biology, Department of Molecular Biology, Semmelweis University, Budapest, Hungary.
Zsolt RónaiInstitute of Biochemistry and Molecular Biology, Department of Molecular Biology, Semmelweis University, Budapest, Hungary. ronai.zsolt@semmelweis.hu.ORCID http://orcid.org/0000-0002-0909-7932

Funding

Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal (NKFI Office) K131680Semmelweis Egyetem (Semmelweis University) STIA-18-KF/M
6 · The paper itself

Abstract

An adequate immune response is responsible for eradicating pathogens and reestablishing tissue homeostasis upon infection. However, in certain patients, immune processes become dysregulated, leading to sepsis which often results in life-threatening organ dysfunction, and the progression to septic shock is associated with mortality rates of up to 70-80%. The objective of the present data set is to facilitate the identification of transcriptomic signatures characteristic of septic shock and the stable, out of critical condition. A total of six patients were included in the study, with blood samples collected at two different stages - septic shock, at the time of discharge from the intensive care unit - of the disease. Following total RNA isolation, mRNA and microRNA levels were determined by NGS. The dataset's significance is based on the fact that two samples of the same patient were analyzed, ensuring that any observed alteration in transcript levels is related to the change in medical condition, and the analysis included both mRNAs and microRNAs enabling a comprehensive gene expression and regulatory study.

Indexed as

MicroRNAsRNA, MessengerShock, SepticAgedAged, 80 and overDatasets as TopicFemaleHumansMaleMiddle AgedSequence Analysis, RNATranscriptomeMicroRNAsRNA, Messenger

Identifiers

PMID41690949
PMCPMC13018598

What Socratic holds

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Registered trials

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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 Socratic graph.