TY - JOUR
T1 - Non-coding RNA regulators of diabetic polyneuropathy
AU - Meydan, Chanan
AU - Üçeyler, Nurcan
AU - Soreq, Hermona
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/7/13
Y1 - 2020/7/13
N2 - Diabetic polyneuropathy is a common and disturbing complication of diabetes mellitus, presenting patients and caregivers with a substantial disease burden. Emerging mechanisms which are underlying diabetes may provide novel pathways to understand diabetic polyneuropathy (DPN). Specifically, non-coding RNA molecules consisting of microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) are implicated in the biological processes underlying DPN, and may link it to clinical spheres such as other metabolic and neural pathologies. Here, we elaborate on several candidate non-coding RNAs which may be associated with DPN via regulatory roles governing phenomena related to inflammatory, pain-provoking, and metabolic syndrome pathways. Specific examples include miRNAs such as miR-106a, -146a, -9, -29b, -466a, and -98; likewise, lncRNAs MIAT, PVT1, H19, MEG3, and MALAT1 are implicated, often co-affecting the involved pathways. Incorporating newly discovered regulators into what we know about specific clinical applications may highlight novel avenues for diagnosis, prevention, and intervention with DPN.
AB - Diabetic polyneuropathy is a common and disturbing complication of diabetes mellitus, presenting patients and caregivers with a substantial disease burden. Emerging mechanisms which are underlying diabetes may provide novel pathways to understand diabetic polyneuropathy (DPN). Specifically, non-coding RNA molecules consisting of microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) are implicated in the biological processes underlying DPN, and may link it to clinical spheres such as other metabolic and neural pathologies. Here, we elaborate on several candidate non-coding RNAs which may be associated with DPN via regulatory roles governing phenomena related to inflammatory, pain-provoking, and metabolic syndrome pathways. Specific examples include miRNAs such as miR-106a, -146a, -9, -29b, -466a, and -98; likewise, lncRNAs MIAT, PVT1, H19, MEG3, and MALAT1 are implicated, often co-affecting the involved pathways. Incorporating newly discovered regulators into what we know about specific clinical applications may highlight novel avenues for diagnosis, prevention, and intervention with DPN.
KW - Diabetes
KW - Fibromyalgia
KW - Long non-coding RNAs
KW - MicroRNAs
KW - Polyneuropathy
KW - Sponging activities
UR - http://www.scopus.com/inward/record.url?scp=85085516441&partnerID=8YFLogxK
U2 - 10.1016/j.neulet.2020.135058
DO - 10.1016/j.neulet.2020.135058
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C2 - 32454150
AN - SCOPUS:85085516441
SN - 0304-3940
VL - 731
JO - Neuroscience Letters
JF - Neuroscience Letters
M1 - 135058
ER -