PMID- 27160104
OWN - NLM
STAT- MEDLINE
DCOM- 20180503
LR  - 20181202
IS  - 1432-1971 (Electronic)
IS  - 0172-0643 (Linking)
VI  - 37
IP  - 6
DP  - 2016 Aug
TI  - Identification of Differentially Expressed Genes in Kawasaki Disease Patients as 
      Potential Biomarkers for IVIG Sensitivity by Bioinformatics Analysis.
PG  - 1003-12
LID - 10.1007/s00246-016-1381-z [doi]
AB  - Kawasaki disease (KD) is a leading cause of acquired heart disease predominantly 
      affecting infants and young children. Intravenous immunoglobulin (IVIG) is 
      applied as the most favorable treatment against KD, but IVIG resistant remains 
      exist. Although several clinical scoring systems have been developed to identify 
      children at highest risk of IVIG resistance, there is a need to identify 
      sufficiently sensitive biomarkers for IVIG treatment. Some differentially 
      expressed genes (DEGs) could be the promising potential biomarkers for 
      IVIG-related sensitivity diagnosis. We employed a systematic and integrative 
      bioinformatics framework to identify such kind of genes. The performance of the 
      candidate genes was evaluated by hierarchical clustering, ROC analysis and 
      literature mining. By analyzing three datasets of KD patients, 34 DEGs of the 
      three groups have been found to be associated with IVIG-related sensitivity. A 
      module of 12 genes could predict resistant group patients with high accuracy, and 
      a module of ten genes could predict responsive group patients effectively with 
      accuracy of 96 %. And three of them are most likely to serve as drug targets or 
      diagnostic biomarkers in the future. Compared with unsupervised hierarchical 
      clustering analysis, our modules could distinct IVIG-resistant patients 
      efficiently. Two groups of DEGs could predict IVIG-related sensitivity with high 
      accuracy, which are potential biomarkers for the clinical diagnosis and 
      prediction of IVIG treatment response in KD patients, improving the prognosis of 
      patients.
FAU - He, Lan
AU  - He L
AD  - Pediatric Heart Center, Children's Hospital, Fudan University, Shanghai, China.
FAU - Sheng, Youyu
AU  - Sheng Y
AD  - Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.
FAU - Huang, Chunyun
AU  - Huang C
AD  - Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.
FAU - Huang, Guoying
AU  - Huang G
AD  - Pediatric Heart Center, Children's Hospital, Fudan University, Shanghai, China. 
      guoying-huang@hotmail.com.
LA  - eng
PT  - Journal Article
DEP - 20160509
PL  - United States
TA  - Pediatr Cardiol
JT  - Pediatric cardiology
JID - 8003849
RN  - 0 (Biomarkers)
RN  - 0 (Immunoglobulins, Intravenous)
SB  - IM
MH  - Biomarkers
MH  - Computational Biology
MH  - Humans
MH  - Immunoglobulins, Intravenous
MH  - *Mucocutaneous Lymph Node Syndrome
MH  - ROC Curve
OTO - NOTNLM
OT  - Biomarker
OT  - Differentially expressed genes (DEGs)
OT  - IVIG-related sensitivity
OT  - Kawasaki disease
EDAT- 2016/05/11 06:00
MHDA- 2018/05/04 06:00
CRDT- 2016/05/11 06:00
PHST- 2015/12/12 00:00 [received]
PHST- 2016/03/21 00:00 [accepted]
PHST- 2016/05/11 06:00 [entrez]
PHST- 2016/05/11 06:00 [pubmed]
PHST- 2018/05/04 06:00 [medline]
AID - 10.1007/s00246-016-1381-z [pii]
AID - 10.1007/s00246-016-1381-z [doi]
PST - ppublish
SO  - Pediatr Cardiol. 2016 Aug;37(6):1003-12. doi: 10.1007/s00246-016-1381-z. Epub 
      2016 May 9.