Evidence map›Paper›PMID 28381820›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2017

Molecular Mechanisms of Mild and Severe Pneumonia: Insights from RNA Sequencing.

Sai Huang, Cong Feng, Li Chen, Zhi Huang, Xuan Zhou, Bei Li, Li-Li Wang, Wei Chen, Fa-Qin Lv, Tan-Shi Li

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Calprotectin in Lung Diseases.International journal of molecular sciences · 2021
    Review
  4. Article
  5. 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

10 authors at 1 institution in 1 country.

Sai HuangDepartment of Emergency, General Hospital of The People's Liberation Army (PLA), Beijing, China (mainland).
Cong FengDepartment of Emergency, General Hospital of The People's Liberation Army (PLA), Beijing, China (mainland).
Li ChenDepartment of Emergency, General Hospital of The People's Liberation Army (PLA), Beijing, China (mainland).
Zhi HuangElectrical and Computer Engineering, Purdue University, Indianapolis, IN, USA.
Xuan ZhouDepartment of Emergency, General Hospital of The People's Liberation Army (PLA), Beijing, China (mainland).
Bei LiDepartment of Emergency, General Hospital of The People's Liberation Army (PLA), Beijing, China (mainland).
Li-Li WangDepartment of Emergency, General Hospital of The People's Liberation Army (PLA), Beijing, China (mainland).
Wei ChenDepartment of Emergency, General Hospital of The People's Liberation Army (PLA), Beijing, China (mainland).
Fa-Qin LvDepartment of Ultrasound, General Hospital of The People's Liberation Army (PLA), Beijing, China (mainland).
Tan-Shi LiDepartment of Emergency, General Hospital of The People's Liberation Army (PLA), Beijing, China (mainland).
Indiana University – Purdue University Indianapolis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND This study aimed to uncover the molecular mechanisms underlying mild and severe pneumonia by use of mRNA sequencing (RNA-seq). MATERIAL AND METHODS RNA was extracted from the peripheral blood of patients with mild pneumonia, severe pneumonia, and healthy controls. Sequencing was performed on the HiSeq4000 platform. After filtering, clean reads were mapped to the human reference genome hg19. Differentially expressed genes (DEGs) were identified between the control group and the mild or severe group. A transcription factor-gene network was constructed for each group. Biological process (BP) terms enriched by DEGs in the network were analyzed and these genes were also mapped to the Connectivity map to search for small-molecule drugs. RESULTS A total of 199 and 560 DEGs were identified from the mild group and severe group, respectively. A transcription factor-gene network consisting of 215 nodes and another network consisting of 451 nodes were constructed in the mild group and severe group, respectively, and 54 DEGs (e.g., S100A9 and S100A12) were found to be common, with consistent differential expression changes in the 2 groups. Genes in the transcription factor-gene network for the mild group were mainly enriched in 13 BP terms, especially defense and inflammatory response (e.g., S100A8) and spermatogenesis, while the top BP terms enriched by genes in the severe group include response to oxidative stress (CCL5), wound healing, and regulation of cell differentiation (CCL5), and of the cellular protein metabolic process. CONCLUSIONS S100A9 and S100A12 may have a role in the pathogenesis of pneumonia: S100A9 and CXCL1 may contribute solely in mild pneumonia, and CCL5 and CXCL11 may contribute in severe pneumonia.

Indexed as

AdultCalgranulin BCase-Control StudiesChemokine CCL5Chemokine CXCL1Chemokine CXCL11Gene Expression ProfilingGene Expression RegulationGene Regulatory NetworksGenome, HumanHumansLeukocytes, MononuclearPneumoniaRNA, MessengerS100A12 ProteinSequence Analysis, RNACalgranulin BCCL5 protein, humanChemokine CCL5Chemokine CXCL1Chemokine CXCL11CXCL11 protein, humanCXCL1 protein, humanRNA, MessengerS100A12 ProteinS100A12 protein, human

Identifiers

PMID28381820
PMCPMC5390720
OpenAlexW2604479186

What OpenQuestion holds

Textmetadata
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.