Evidence map›Paper›PMID 42396135›Full record

ArticleFrontiers in medicine2026

An 11-gene blood transcriptomic signature reflects a sepsis-associated host-response pattern across public cohorts.

Congcong Qin, Weiwei Wang, Qinyuan Du, Tejin Ba, Shuanglin Zhang, Guochen Li

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

6 authors.

Congcong Qin *Institute of Chinese Medical Literature and Culture, Shandong University of Traditional Chinese Medicine, Jinan, China.
Weiwei Wang *Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Qinyuan DuAffiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Tejin BaInner Mongolia International Mongolian Hospital, Hohhot, Inner Mongolia, China.
Shuanglin ZhangInner Mongolia International Mongolian Hospital, Hohhot, Inner Mongolia, China.
Guochen LiAffiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis is a clinically defined syndrome caused by a dysregulated host response to infection, yet the biological architecture underlying this response remains highly heterogeneous. Blood transcriptomic studies have shown that patients with sepsis can be subdivided into reproducible molecular states; however, translation has been hindered by inconsistent gene sets, cohort-specific modeling strategies, and insufficient external validation across public datasets. We aimed to derive a compact blood transcriptomic signature to characterize a sepsis-associated host-response pattern and to evaluate its portability across independent public cohorts and clinically distinct validation settings. Methods: Using GSE65682 as the discovery cohort, we identified differentially expressed genes in the Abdominal_Sepsis vs. GI_Control comparison, prioritized hub genes through STRING-PPI analysis, and entered the top 20 degree-ranked candidates into cross-validated LASSO-logistic modeling. The final 11-gene signature was defined according to the nonzero coefficient rule. Because the discovery coefficients were estimated from standardized variables, external fixed-score evaluation was performed after the retained genes were transformed using cohort-specific StandardScaler procedures within each external analysis cohort. External analyses were performed using GSE236713 across three Day 1 settings: OOHCA-SIRS vs. sepsis, abdominal vs. pulmonary sepsis, and survival among patients with sepsis. GSE54514 was used as a supplementary, non-confirmatory cohort. Results: In GSE236713, the standardized fixed-coefficient score showed moderate discrimination between Day 1 OOHCA-SIRS and sepsis (AUC = 0.7676; Mann-Whitney Conclusions: We identified an 11-gene blood transcriptomic score that may reflect a sepsis-associated host-response pattern. The score showed moderate discrimination between Day 1 sepsis and OOHCA-SIRS, whereas the available Day 1 analyses did not demonstrate clear discrimination by infection source or short-term survival under the current analysis settings.

Indexed as

blood transcriptomicsexternal validationgene signaturehost responsepublic cohortsSepsis

Identifiers

PMID42396135
PMCPMC13323005

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.