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Editorial

Special Issue—Diabetes Mellitus: Current Research and Future Perspectives

by
Roberto Franceschi
Pediatric Diabetology Unit, S. Chiara Hospital of Trento, Azienda Provinciale per i Servizi Sanitari del Trentino (APSS), Largo Medaglie d’Oro, 9, 38122 Trento, Italy
J. Pers. Med. 2024, 14(3), 308; https://doi.org/10.3390/jpm14030308
Submission received: 7 March 2024 / Accepted: 13 March 2024 / Published: 15 March 2024
(This article belongs to the Special Issue Diabetes Mellitus: Current Research and Future Perspectives)
The Special Issue “Diabetes Mellitus: Current Research and Future Perspectives” is focused on the importance of customized medicine in monogenic diabetes of the young (MODY) and type 2 diabetes (T2D). This collection included five articles that investigated cutting-edge subjects linked to this topic.
Regarding the recent progress in MODY, in this Special Issue, the prevalence of mutations of the gene encoding Hepatocyte Nuclear transcription Factor-1 Beta (HNF1B) was identified in 5.9% of the patients screened, based on the clinical suspicion of MODY. Testing this gene allowed the authors to identify two previously unknown mutations and diverse clinical presentations of HNF1B-related MODY. Multiple extra-pancreatic organ systems could be involved in some forms of MODY, and in HNF1B-related forms kidney involvement was the most frequent extra-pancreatic manifestation [1]. In previous studies, HNF1B mutations in people screened for diabetes and defects of the urogenital tract affected 3 subjects among 210 with MODY [2]. In another study included in this Special Issue, liver lesions, neuropsychiatric symptoms, hyperlipidemia, hyperuricemia, and hypomagnesemia were reported as more prevalent manifestations than renal ones, expanding the understanding of HNF1B-related MODY. It is known that genetic testing plays a crucial role in the implementation of personalized medicine for MODY, as it is essential not only for diabetes treatment and genetic counseling (autosomal dominant inheritance) but also for follow-up timing and modality, as different organ screening must be implemented [3]. However, the classic clinical criteria for MODY diagnosis are often unable to identify all subjects, and using a candidate gene approach leads to missing genetic diagnosis. Therefore, this study sustains the importance of using next-generation sequencing (NGS) panels as a highly sensitive method even for rare forms of monogenic diabetes [4].
In recent years, precision medicine in T2D has focused on pharmacogenomics to provide individualized drug therapy based on a patient’s genetic and genomic information, as various classes of oral hypoglycemic agents are available [5,6]. The papers in this Special Issue address the gaps in the personalized management of T2D complications. Subjects with T2D face higher risks for macro- and microvascular complications than their non-diabetic counterparts [7,8], and precision medicine aims to identify patients who can benefit from a specific treatment more than from others, with the focus of reducing the risk of diabetic complications [9]. Prognostic models can estimate an individual’s risk for relevant complications based on individual risk profiles [9], and different applications are reported in this Special Issue.
The role of dyslipidemia, which is considered a risk factor for cardiovascular events, has been analyzed through big data analysis using the Code Interpreter plugin of ChatGPT for enhanced predictive modeling. Twelve biochemical parameters were considered in subjects with T2D; HDL was found to be inversely correlated with most of the parameters, and the principal predictors of HDLs were triglycerides, LDL cholesterol, and HbA1c levels. These results suggest that the same approach could be used to derive novel management strategies and therapeutic approaches in T2D [10,11], performing complex analyses with minimal computational and software resources using the available measurements on subjects with T2D and healthy controls.
A complication of T2D that is under-considered is cognitive dysfunction, as the current management strategies for T2D do not primarily target it, even if many studies have illustrated that T2D increases the risk of cognitive impairment due to impaired insulin signaling, increased oxidative stress, and inflammation [12,13]. In this Special Issue, we included studies that examined the impact of diabetes on cognitive impairment. In India, a high prevalence of cognitive impairment, evident from poor performance in almost all cognitive domains assessed, was detected in subjects with T2D compared with healthy ones. A significant influence of age demographics on cognitive impairment was found, and the association between metformin use and the risk of dementia among people with T2D was investigated. Still, the analysis did not reveal a dose–response relationship between metformin use and incident dementia in T2D patients. These studies suggest that screening for cognitive impairment in people with T2D should be incorporated into routine clinical practice and supported with early treatment through lifestyle and pharmacological interventions [14].
Considering another frequent diabetic complication, diabetic foot ulcers, we analyzed the role of personalized treatment, as surgical treatment options include debridement and revascularization [15,16]. In contrast, little research has been conducted on ozone therapy [15,16]. This Special Issue includes a review of recent studies that provides information on ozone therapy in the wounds of patients with diabetic foot ulcers. It led to the conclusion that this therapy is effective, safe, and beneficial, with few adverse effects for treating diabetic foot ulcers. Compared with other treatments, its use accelerates wound healing, which leads to a reduction in costs and hospital stays, and it is contraindicated in only a few conditions [17].
In conclusion, with the continuous advancement of new therapies, technology, and cost reduction, personalized medicine is expected to become the mainstream model in the field of MODY and T2D in the future, providing patients with better health management and treatment services.

Conflicts of Interest

The author declares no conflicts of interest.

References

  1. Gambella, A.; Kalantari, S.; Cadamuro, M.; Quaglia, M.; Delvecchio, M.; Fabris, L.; Pinon, M. The Landscape of HNF1B Deficiency: A Syndrome Not Yet Fully Explored. Cells 2023, 12, 307. [Google Scholar] [CrossRef] [PubMed]
  2. Delvecchio, M.; Mozzillo, E.; Salzano, G.; Iafusco, D.; Frontino, G.; Patera, P.I.; Rabbone, I.; Cherubini, V.; Grasso, V.; Tinto, N.; et al. Monogenic Diabetes Accounts for 6.3% of Cases Referred to 15 Italian Pediatric Diabetes Centers During 2007 to 2012. J. Clin. Endocrinol. Metab. 2017, 102, 1826–1834. [Google Scholar] [CrossRef] [PubMed]
  3. Delvecchio, M.; Pastore, C.; Giordano, P. Treatment Options for MODY Patients: A Systematic Review of Literature. Diabetes Ther. 2020, 11, 1667–1685. [Google Scholar] [CrossRef] [PubMed]
  4. Maltoni, G.; Franceschi, R.; Di Natale, V.; Al-Qaisi, R.; Greco, V.; Bertorelli, R.; De Sanctis, V.; Quattrone, A.; Mantovani, V.; Cauvin, V.; et al. Next Generation Sequencing Analysis of MODY-X Patients: A Case Report Series. J. Pers. Med. 2022, 12, 1613. [Google Scholar] [CrossRef]
  5. Venkatachalapathy, P.; Padhilahouse, S.; Sellappan, M.; Subramanian, T.; Kurian, S.J.; Miraj, S.S.; Rao, M.; Raut, A.A.; Kanwar, R.K.; Singh, J.; et al. Pharmacogenomics and Personalized Medicine in Type 2 Diabetes Mellitus: Potential Implications for Clinical Practice. Pharmgenom. Pers. Med. 2021, 13, 1441–1455. [Google Scholar] [CrossRef] [PubMed]
  6. Chaudhury, A.; Duvoor, C.; Reddy Dendi, V.S.; Kraleti, S.; Chada, A.; Ravilla, R.; Marco, A.; Shekhawat, N.S.; Montales, M.T.; Kuriakose, K.; et al. Clinical Review of Antidiabetic Drugs: Implications for Type 2 Diabetes Mellitus Management. Front. Endocrinol. 2017, 8, 6. [Google Scholar] [CrossRef] [PubMed]
  7. Ceriello, A.; Prattichizzo, F. Variability of risk factors and diabetes complications. Cardiovasc. Diabetol. 2021, 20, 101. [Google Scholar] [CrossRef] [PubMed]
  8. Tang, E.H.M.; Mak, I.L.; Tse, E.T.Y.; Wan, E.Y.F.; Yu, E.Y.T.; Chen, J.Y.; Chin, W.Y.; Chao, D.V.K.; Tsui, W.W.S.; Ha, T.K.H.; et al. Ten-Year Effectiveness of the Multidisciplinary Risk Assessment and Management Programme-Diabetes Mellitus (RAMP-DM) on Macrovascular and Microvascular Complications and All-Cause Mortality: A Population-Based Cohort Study. Diabetes Care 2022, 45, 2871–2882. [Google Scholar] [CrossRef] [PubMed]
  9. Schiborn, C.; Schulze, M.B. Precision prognostics for the development of complications in diabetes. Diabetologia 2022, 65, 1867–1882. [Google Scholar] [CrossRef] [PubMed]
  10. Stolfi, P.; Valentini, I.; Palumbo, M.C.; Tieri, P.; Grignolio, A.; Castiglione, F. Potential predictors of type-2 diabetes risk: Machine learning, synthetic data and wearable health devices. BMC Bioinform. 2020, 21, 508. [Google Scholar] [CrossRef]
  11. Yildirim, V.; Sheraton, V.M.; Brands, R.; Crielaard, L.; Quax, R.; van Riel, N.A.; Stronks, K.; Nicolaou, M.; Sloot, P.M. A data-driven computational model for obesity-driven diabetes onset and remission through weight loss. iScience 2023, 26, 108324. [Google Scholar] [CrossRef] [PubMed]
  12. Luchsinger, J.A. Type 2 diabetes and cognitive impairment: Linking mechanisms. J. Alzheimers Dis. 2012, 30, S185–S198. [Google Scholar] [CrossRef] [PubMed]
  13. Ryan, J.P.; Fine, D.F.; Rosano, C. Type 2 diabetes and cognitive impairment: Contributions from neuroimaging. J. Geriatr. Psychiatry Neurol. 2014, 27, 47–55. [Google Scholar] [CrossRef] [PubMed]
  14. Simó, R.; Ciudin, A.; Simó-Servat, O.; Hernández, C. Cognitive impairment and dementia: A new emerging complication of type 2 diabetes-The diabetologist’s perspective. Acta Diabetol. 2017, 54, 417–424. [Google Scholar] [CrossRef] [PubMed]
  15. Martínez-Sánchez, G.; Al-Dalain, S.M.; Menéndez, S.; Re, L.; Giuliani, A.; Candelario-Jalil, E.; Álvarez, H.; Fernández-Montequín, J.I.; León, O.S. Therapeutic efficacy of ozone in patients with diabetic foot. Eur. J. Pharmacol. 2005, 523, 151–161. [Google Scholar] [CrossRef] [PubMed]
  16. Kushmakov, R.; Gandhi, J.; Seyam, O.; Jiang, W.; Joshi, G.; Smith, N.L.; Khan, S.A. Ozone therapy for diabetic foot. Med. Gas Res. 2018, 8, 111–115. [Google Scholar] [CrossRef] [PubMed]
  17. Wainstein, J.; Feldbrin, Z.; Boaz, M.; Harman-Boehm, I. Efficacy of ozone-oxygen therapy for the treatment of diabetic foot ulcers. Diabetes Technol. Ther. 2011, 13, 1255–1260. [Google Scholar] [CrossRef] [PubMed]
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Franceschi, R. Special Issue—Diabetes Mellitus: Current Research and Future Perspectives. J. Pers. Med. 2024, 14, 308. https://doi.org/10.3390/jpm14030308

AMA Style

Franceschi R. Special Issue—Diabetes Mellitus: Current Research and Future Perspectives. Journal of Personalized Medicine. 2024; 14(3):308. https://doi.org/10.3390/jpm14030308

Chicago/Turabian Style

Franceschi, Roberto. 2024. "Special Issue—Diabetes Mellitus: Current Research and Future Perspectives" Journal of Personalized Medicine 14, no. 3: 308. https://doi.org/10.3390/jpm14030308

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Franceschi, R. (2024). Special Issue—Diabetes Mellitus: Current Research and Future Perspectives. Journal of Personalized Medicine, 14(3), 308. https://doi.org/10.3390/jpm14030308

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