Introduction of MetaSepsisBase platform

Sepsis is a leading cause of human mortality and disability worldwide. Biomarkers have been widely used to improve the diagnosis, therapy and prognosis of human sepsis. Despite numerous studies published in PubMed and many biomarkers identified, there is an urgent need for a comprehensive database to collect, annotate and display the biomedical information on sepsis biomarkers. Therefore, the MetaSepsisBase, which is the first sepsis biomarker knowledge platform, was constructed. This knowledge platform includes biomedical information on 427 sepsis biomarkers with 644 records, which were collected from the PubMed and annotated by NCBI Gene database (Nhttps://www.ncbi.nlm.nih.gov/gene) and HGNC database (https://www.genenames.org).


Diagnostic criteria and age classification for sepsis

Data source and collection

Data selection criteria

Database update

Systems biological analyses in MetaSepsisBase platform

Items in MetaSepsisBase platform
Item Definition
Research Information

ID

ID in the database, A refers to Adult, N refers to Neonatal, C refers to Children

Disease Stratification

The clinical stratifications and severity of disease, including SIRS, sepsis, severe sepsis or septic shock

Application Type

The type of application of biomarkers, including diagnosis or prognosis

Biomarker Category

Category based on the biological effects or clinical use of biomarkers, including acute phase protein, CD molecule, cytokine biomarker, chemokine biomarker, miRNA, lncRNA, neuropeptide, lipocalin, metabolites, clinical biomarker, etc.

Samples Information

Detailed description of samples used to identify the biomarker (biomarker candidate), including number of samples in each group.

Samples Type

The source of the samples in the study, including whole blood, serum, plasma, urine, saliva, etc.

Research Technique

Main technologies for separating and analyzing biomarkers

Pubmed ID

ID of the literature in the PubMed database

Published Year

Year of the literature published

Region

The country or region where the main research progress is located

Biomarker Information

Biomarker Name

Name of biomarker

Biomarker Description

The brief introduction of biomarkers

NCBI Gene ID

ID of NCBI gene database

Gene type

Category based on the biological effects of genes, including protein-coding, ncRNA, lncRNA, biological-region, etc.

Ensemble ID

ID of ENSEMBL database

HGNC ID

ID of HGNC database

Uniprot ID

ID of UniProt database

OMIM ID

ID of OMIM database

Brief Name

Brief name of biomarkers in NCBI and HGNC database

Level of Effect

Category at different levels based on the genetic central dogma, including gene level, transcription, translation, cell level and organ dysfuction

Cut off Value

A threshold value for a quantity

AUC

The area under the curve

Sensitivity

Sensitivity relates to the test's ability to identify positive results

Specificity

Specificity relates to the test's ability to identify negative results.

Abundance Change in Patients or Non-survivors

If not specified, it refers to the disease versus control ratio of the expression level of biomarkers.

Summary

The overall comments to biomarkers

Cohort or Experimental Validation

The situation where the research results have been validated through basic experiments or cohorts

Potential Drug Target Information

TTD ID

ID of TTD database

PubChem ID

ID of PubChem database

KEGG Pathways

KEGG signaling pathways associated with biomarker

Drug Name

Name of potential drug that can use biomarker as therapeutic target

Indication

Indication of potential drug

Therapeutic Category

Therapeutic effect category of potential drug, including anti-inflammatory agent, anti-cancer agent, anti-viral agent, analgesics, etc.