PMID- 36038113 OWN - NLM STAT- MEDLINE DCOM- 20221018 LR - 20230130 IS - 1872-9649 (Electronic) IS - 1568-1637 (Linking) VI - 81 DP - 2022 Nov TI - Type 2 diabetes mellitus augments Parkinson's disease risk or the other way around: Facts, challenges and future possibilities. PG - 101727 LID - S1568-1637(22)00169-6 [pii] LID - 10.1016/j.arr.2022.101727 [doi] AB - About 10% of the adult population is living with type 2 diabetes mellitus (T2DM) and 1% of the population over 60 years of age is suffering from Parkinson's disease (PD). A school of thought firmly believes that T2DM, an age-related disease, augments PD risk. Such relationship is reflected from the severity of PD symptoms in drug naive subjects possessing T2DM. Onset of Parkinsonian feature in case controls possessing T2DM corroborates the role of hyperglycemia in PD. A few cohort, meta-analysis and animal studies have shown an increased PD risk owing to insulin resistance. High fat diet and role of insulin signaling in the regulation of sugar metabolism, oxidative stress, alpha-synuclein aggregation and accumulation, inflammatory response and mitochondrial function in PD models and sporadic PD further connect the two. Although little is reported about the implication of PD in hyperglycemia and T2DM, a few studies have also contradicted. Ameliorative effect of anti-diabetic drugs on Parkinsonian symptoms and vague outcome of anti-PD medications in T2DM patients also suggest a link. The article reviews the literature supporting augmented risk of one by the other, analysis of proof of the concept, facts, challenges, future possibilities and standpoint on the subject. CI - Copyright (c) 2022 Elsevier B.V. All rights reserved. FAU - Faizan, Mohd AU - Faizan M AD - Toxicogenomics and Predictive Toxicology Laboratory, Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226 001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India. FAU - Sarkar, Alika AU - Sarkar A AD - Toxicogenomics and Predictive Toxicology Laboratory, Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226 001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India. FAU - Singh, Mahendra Pratap AU - Singh MP AD - Toxicogenomics and Predictive Toxicology Laboratory, Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226 001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India. Electronic address: mpsingh@iitr.res.in. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't PT - Review DEP - 20220828 PL - England TA - Ageing Res Rev JT - Ageing research reviews JID - 101128963 RN - 0 (Insulin) RN - 0 (alpha-Synuclein) SB - IM MH - Animals MH - *Diabetes Mellitus, Type 2/complications/drug therapy/epidemiology MH - Humans MH - *Hyperglycemia MH - Insulin/therapeutic use MH - *Parkinson Disease/complications/drug therapy MH - alpha-Synuclein OTO - NOTNLM OT - Clinical link OT - PD OT - Preclinical link OT - T2DM COIS- Conflict of interest None. EDAT- 2022/08/30 06:00 MHDA- 2022/10/19 06:00 CRDT- 2022/08/29 19:37 PHST- 2022/02/07 00:00 [received] PHST- 2022/08/01 00:00 [revised] PHST- 2022/08/24 00:00 [accepted] PHST- 2022/08/30 06:00 [pubmed] PHST- 2022/10/19 06:00 [medline] PHST- 2022/08/29 19:37 [entrez] AID - S1568-1637(22)00169-6 [pii] AID - 10.1016/j.arr.2022.101727 [doi] PST - ppublish SO - Ageing Res Rev. 2022 Nov;81:101727. doi: 10.1016/j.arr.2022.101727. Epub 2022 Aug 28.