PMID- 33971345
OWN - NLM
STAT- MEDLINE
DCOM- 20210609
LR  - 20210609
IS  - 1873-0183 (Electronic)
IS  - 1568-9972 (Linking)
VI  - 20
IP  - 7
DP  - 2021 Jul
TI  - Boolean analysis of the transcriptomic data to identify novel biomarkers of IVIG 
      response.
PG  - 102850
LID - S1568-9972(21)00122-1 [pii]
LID - 10.1016/j.autrev.2021.102850 [doi]
AB  - Intravenous immunoglobulin (IVIG) is used to treat several autoimmune and 
      inflammatory diseases, but some patients are refractory to IVIG and require 
      alternative treatments. Identifying a biomarker that could segregate IVIG 
      responders from non-responders has been a subject of intense research. 
      Unfortunately, previous transcriptomic studies aimed at addressing IVIG 
      resistance have failed to predict a biomarker that could identify 
      IVIG-non-responders. Therefore, we used a novel data mining technique on the 
      publicly available transcriptomic data of Kawasaki disease (KD) patients treated 
      with IVIG to identify potential biomarkers of IVIG response. By studying the 
      boolean patterns hidden in the expression profiles of KD patients undergoing IVIG 
      therapy, we have identified new metabolic pathways implicated in IVIG resistance 
      in KD. These pathways could be used as biomarkers to segregate IVIG 
      non-responders from responders prior to IVIG infusion. Also, boolean analysis of 
      the transcriptomic data could be further extended to identify a universal 
      biomarker that might predict IVIG response in other autoimmune diseases.
CI  - Copyright (c) 2021 Elsevier B.V. All rights reserved.
FAU - Rambabu, Naresh
AU  - Rambabu N
AD  - Institut National de la Sante et de la Recherche Medicale, Centre de Recherche 
      des Cordeliers, Sorbonne Universite, Universite de Paris, F-75006 Paris, France.
FAU - Mathew, Mano Joseph
AU  - Mathew MJ
AD  - Ecole D'ingenieur Generaliste en Informatique et Technologies du Numerique, 30-32 
      Avenue de la Republique, F-94800 Villejuif, France.
FAU - Kaveri, Srini V
AU  - Kaveri SV
AD  - Institut National de la Sante et de la Recherche Medicale, Centre de Recherche 
      des Cordeliers, Sorbonne Universite, Universite de Paris, F-75006 Paris, France.
FAU - Bayry, Jagadeesh
AU  - Bayry J
AD  - Institut National de la Sante et de la Recherche Medicale, Centre de Recherche 
      des Cordeliers, Sorbonne Universite, Universite de Paris, F-75006 Paris, France; 
      Indian Institute of Technology Palakkad, Palakkad 678623, India. Electronic 
      address: bayry@iitpkd.ac.in.
LA  - eng
PT  - Journal Article
PT  - Review
DEP - 20210507
PL  - Netherlands
TA  - Autoimmun Rev
JT  - Autoimmunity reviews
JID - 101128967
RN  - 0 (Biomarkers)
RN  - 0 (Immunoglobulins, Intravenous)
SB  - IM
MH  - Biomarkers
MH  - Humans
MH  - *Immunoglobulins, Intravenous/therapeutic use
MH  - Infant
MH  - *Mucocutaneous Lymph Node Syndrome/diagnosis/drug therapy/genetics
MH  - Retrospective Studies
MH  - Transcriptome
OTO - NOTNLM
OT  - Autoimmune diseases
OT  - Biomarkers
OT  - Boolean patterns
OT  - IVIG
OT  - Immune metabolism
OT  - Therapy
OT  - Transcriptome
EDAT- 2021/05/11 06:00
MHDA- 2021/06/10 06:00
CRDT- 2021/05/10 20:15
PHST- 2021/03/16 00:00 [revised]
PHST- 2021/03/23 00:00 [accepted]
PHST- 2021/05/11 06:00 [pubmed]
PHST- 2021/06/10 06:00 [medline]
PHST- 2021/05/10 20:15 [entrez]
AID - S1568-9972(21)00122-1 [pii]
AID - 10.1016/j.autrev.2021.102850 [doi]
PST - ppublish
SO  - Autoimmun Rev. 2021 Jul;20(7):102850. doi: 10.1016/j.autrev.2021.102850. Epub 
      2021 May 7.