Genetic Factors Associated with the Development of Neuropathy in Type 2 Diabetes

Author:

Tordai Dóra Zsuszanna1,Hajdú Noémi1,Rácz Ramóna1ORCID,Istenes Ildikó1,Békeffy Magdolna1,Vági Orsolya Erzsébet1,Kempler Miklós2,Körei Anna Erzsébet1,Tóbiás Bálint1345,Illés Anett135,Pikó Henriett135,Pál Kósa János1345,Árvai Kristóf34,Papp Márton6,Lakatos Péter András1345,Kempler Péter1,Putz Zsuzsanna15

Affiliation:

1. Department of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary

2. Department of Internal Medicine and Hematology, Semmelweis University, 1085 Budapest, Hungary

3. PentaCore Laboratory, 1134 Budapest, Hungary

4. Vascular Diagnostics Ltd., 1026 Budapest, Hungary

5. Eötvös Lóránd Scientific Network ENDOMOLPAT, Semmelweis University, 1085 Budapest, Hungary

6. Centre for Bioinformatics, University of Veterinary Medicine, 1078 Budapest, Hungary

Abstract

Neuropathy is a serious and frequent complication of type 2 diabetes (T2DM). This study was carried out to search for genetic factors associated with the development of diabetic neuropathy by whole exome sequencing. For this study, 24 patients with long-term type 2 diabetes with neuropathy and 24 without underwent detailed neurological assessment and whole exome sequencing. Cardiovascular autonomic function was evaluated by cardiovascular reflex tests. Heart rate variability was measured by the triangle index. Sensory nerve function was estimated by Neurometer and Medoc devices. Neuropathic symptoms were characterized by the neuropathy total symptom score (NTSS). Whole exome sequencing (WES) was performed on a Thermo Ion GeneStudio S5 system determining the coding sequences of approximately 32,000 genes comprising 50 million base pairs. Variants were detected by Ion Reporter software and annotated using ANNOVAR, integrating database information from dbSNP, ClinVar, gnomAD, and OMIM. Integrative genomics viewer (IGV) was used for visualization of the mapped reads. We have identified genetic variants that were significantly associated with increased (22–49-fold) risk of neuropathy (rs2032930 and rs2032931 of recQ-mediated genome instability protein 2 (RMI2) gene), rs604349 of myosin binding protein H like (MYBPHL) gene and with reduced (0.07–0.08-fold) risk (rs917778 of multivesicular body subunit 12B (MVB12B) and rs2234753 of retinoic acid X receptor alpha (RXRA) genes). The rs2032930 showed a significant correlation with current perception thresholds measured at 5 Hz and 250 Hz for n. medianus (p = 0.042 and p = 0.003, respectively) and at 5 Hz for n. peroneus (p = 0.037), as well as the deep breath test (p = 0.022) and the NTSS (p = 0.023). The rs2032931 was associated with current perception thresholds (p = 0.003 and p = 0.037, respectively), deep breath test (p = 0.022), and NTSS (p = 0.023). The rs604349 correlated with values measured at 2000 (p = 0.049), 250 (p = 0.018), and 5 Hz (p = 0.005) for n. medianus, as well as warm perception threshold measured by Medoc device (p = 0.042). The rs2234753 showed correlations with a current perception threshold measured at 2000 Hz for n. medianus (p = 0.020), deep breath test (p = 0.040), and NTSS (p = 0.003). There was a significant relationship between rs91778 and cold perception threshold (p = 0.013). In our study, genetic variants have been identified that may have an impact on the risk of neuropathy developing in type 2 diabetic patients. These results could open up new opportunities for early preventive measures and might provide targets for new drug developments in the future.

Funder

Korányi András Foundation

Eötvös Lóránd Research Network

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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