We screened three biomarkers of metabolic syndrome-related
diseases respectively.
Literature searches were conducted in
PubMed.EMBASE.Cochrane,Web of Science and Ovid from 1980 to April
2023.we performed the following search:
'micro RNA"OR "mIRNA"AND ("NAFLA"OR "non-alcohollc fatty liver disease")OR (DM"OR "dlabetes mellitus")OR
(depression"OR "depressive disorder)
AND "biomarker".
Our inclusion criteria:
(1).
The study participants were patlents dlagnosed with NAFLD.DM,or depression.
(2).
miRNAs are studied as diagnostic markers for diseases.
(3).
Studies were performed in miRNAs detected in serum or plasma.
(4).
The selected biomarkers should be easily detectable and detectable in the early stages of the
disease,preferably at concentrations that change with the
disease process.
We first searched each database using keywords,removing
duplicates that did not meet the inclusion
criteria by reading the titles or abstracts.and then
reading the articles in full to exclude studles whose results were not statistically significant.The
final numbers of included studies related to the three diseas-
es of NAFLD,DM,and depression were 9,13,and 5,respectively.
To screen for the most appropriate biomarkers,we made tables of the specifics of the miRNAs included in
the study to facilitate comparison.The table in-
cludes:
the names of the miRNAs
Roles in the metabolic syndrome
Region of the subject population
Biological material (plasma.serum)
Assay method (qRT-PCR)
Reference values or fold changes in concentration of miRNA as a biomarker in controls and patients
Testing difficulty level
Finally,three selected miRNAs were has-miR-34a in NAFLD,has-miR-155 in DM,and has-miR-1281 in
depression.
In addition,we also performed a biogenic analysis to verify the correlation between mir34a and metabolic
syndrome,demonstrating that mir34a can be used as a biomarker for MS.
The database was searched for more information about the
selected miRNAs,involving nucleotide
numbers,target genes,functions,sequences,and their ex-
pression in cell lines.The databases of choice include
miRBase.TarBase,GeneCards.RefSeq.DIANA-LncBase.and RNAcentral.The results show that the three
miRNAs we screened do not target human genes and meet the whitelisting requirements of iGEM.