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From Monitoring to Management: Addressing Challenges in Type 1 and...
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From Monitoring to Management: Addressing Challenges in Type 1 and Type 2 Diabetes Care

A special issue of Diseases (ISSN 2079-9721).

Deadline for manuscript submissions: 31 January 2026 | Viewed by 878

Special Issue Editors

Dr. Lucas Fornari Laurindo

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Guest Editor
Department of Biochemistry and Pharmacology, School of Medicine, Universidade de Marília (UNIMAR), Marília 17525-902, SP, Brazil
Interests: medicinal plants; bioactive compounds; phytochemicals; phytochemistry; cancer; metabolism; metabolic disorders; pharmacology; inflammation; oxidative stress; cardiovascular diseases; neurodegenerative diseases
Special Issues, Collections and Topics in MDPI journals
Dr. Sandra Barbalho

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Guest Editor
Laboratory for Systematic Investigations of Diseases, Department of Biochemistry and Pharmacology, School of Medicine, University of Marília (UNIMAR), Marília 17525-902, SP, Brazil
Interests: inflammatory diseases; cardiovascular diseases; neurodegenerative diseases; inflammation; medicinal plants; oxidative stress
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Thank you for reading this Special Issue information. It is a true honor to welcome the submission of manuscripts.

Diabetes is a complex disorder characterized by uncontrolled blood glucose levels, ultimately leading to serious complications including diabetic cardiomyopathies, nephropathies, neuropathies, and more. In this context, preventing these complications is crucial, and interventions for diabetic patients are essential. To achieve these aims, it is essential to build an understanding of the clinical evolution of diabetic patients through personalized, multidisciplinary approaches as well as developing cohesive care-management strategies. This Special Issue delves into the rationale behind monitoring diabetes and managing its complications. It addresses the challenges in type 1 and type 2 diabetes care, including insulin dependence, glycemic variability, psychosocial burden, technology dependence, and educating and supporting diabetic patients and their families in type 1 diabetes, and explores the topics of delayed diagnosis, medication adherence, lifestyle interventions, health system limitations, and comorbidities in type 2 diabetes. The submission of clinical interventional and observational studies on access to affordable care, patient education, digital health integration, healthcare disparities, clinical evolution, and complications prevention are welcome, as well as critical, narrative, systematic, and simple reviews and meta-analyses. We are also open to publishing preclinical studies, if feasible.

We look forward to receiving your feedback on the proposed topic as well as your brilliant submissions. To have you contribute to this  Special Issue would be hugely meaningful and, we feel, guarantee the production of a successful project.

Yours sincerely,

Dr. Lucas Fornari Laurindo
Dr. Sandra Barbalho
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diseases is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • metabolism
  • metabolic diseases
  • medicinal plants
  • phytochemicals
  • bioactive compounds
  • metabolic diseases complications

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Published Papers (2 papers)

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Research

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10 pages, 240 KB  
Article
Differences in Metabolic Control Between Different Insulin Use Patterns in Pediatric Patients with Type 1 Diabetes Through Intermittent Glucose Monitoring
by Rocio Porcel-Chacón, Leopoldo Tapia-Ceballos, Ana-Belen Ariza-Jimenez, Ana Gómez-Perea, José Manuel Jiménez-Hinojosa, Juan-Pedro López-Siguero and Isabel Leiva-Gea
Diseases 2025, 13(8), 254; https://doi.org/10.3390/diseases13080254 - 9 Aug 2025
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Abstract
Introduction: In healthcare centers with limited resources, or for patients who prefer to make continuous changes in their treatment themselves and do not want to rely solely on technology, intermittent glucose monitoring (isCGM) with an insulin pump is a viable option that warrants [...] Read more.
Introduction: In healthcare centers with limited resources, or for patients who prefer to make continuous changes in their treatment themselves and do not want to rely solely on technology, intermittent glucose monitoring (isCGM) with an insulin pump is a viable option that warrants further study. Material and methods: prospective single-center study that collected data at 3 months and after isCGM implantation in pediatric patients with Type 1 diabetes, categorized according to their insulin regimen. Results: We found statistically significant differences in the time in range (TIR) between 70 and 180 mg/dl at 3 months after using the sensor (p = 0.017), although these differences were not maintained at 1 year (p = 0.064). When stricter TIRs (70–140 mg/dl) were analyzed, statistically significant differences were observed at 3 months (p = 0.01) and at 1 year (p = 0.018) in favor of patients using CSII. While 75% of the patients in the CSII group had good control with HbA1c < 7% after one year of sensor use, only 34.6% in the MDI group achieved these values. However, the CSII group presented a higher coefficient of variation (62.31% at 3 months and 43.08% at 1 year) (p = 0.02), and a higher number of hypoglycemic episodes (7.38% and 7.32%, respectively) (p = 0.016). The CSII group also had a higher number of capillary blood glucose measurements at the beginning of the study (8.32/day) (p = 0.249), but this number became similar between both groups after one year. Conclusions: We found statistically significant differences in favor of CSII over MDI in terms of metabolic control after one year of isCGM use. However, the TIR values were still below the range considered to be indicative of good control. These findings lead us to question whether CSII should be initially considered in specific cases where HCL is not possible, or if it would be more effective to wait until the patient is ready, or the necessary resources are available to start directly CSII integrated in a closed loop system. Full article
(This article belongs to the Special Issue From Monitoring to Management: Addressing Challenges in Type 1 and Type 2 Diabetes Care)

Review

Jump to: Research

21 pages, 1666 KB  
Review
Angiotensin-Converting Enzyme Gene Polymorphisms and Diabetic Neuropathy: Insights from a Scoping Review and Scientometric Analysis
by Rafaela Cirillo de Melo, Paula Rothbarth Silva, Nathalia Marçallo Peixoto Souza, Mateus Santana Lopes, Wellington Martins de Carvalho Ragassi, Luana Mota Ferreira, Fabiane Gomes de Moraes Rego and Marcel Henrique Marcondes Sari
Diseases 2025, 13(9), 289; https://doi.org/10.3390/diseases13090289 - 1 Sep 2025
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Abstract
Background/Objectives: Diabetic neuropathy (DN) is one of the most common and disabling complications of diabetes mellitus (DM), affecting motor, sensory, and autonomic nerves. Genetic factors, particularly polymorphisms in the Angiotensin-converting enzyme (ACE) gene, have been proposed as contributors to DN susceptibility. [...] Read more.
Background/Objectives: Diabetic neuropathy (DN) is one of the most common and disabling complications of diabetes mellitus (DM), affecting motor, sensory, and autonomic nerves. Genetic factors, particularly polymorphisms in the Angiotensin-converting enzyme (ACE) gene, have been proposed as contributors to DN susceptibility. This study aimed to synthesize the scientific evidence on ACE gene polymorphisms and their association with DN through a scoping review combined with scientometric analysis. Methods: A comprehensive search of PubMed, Scopus, and Web of Science was performed in February 2025, following JBI and PRISMA-ScR guidelines. Observational studies involving individuals with DN and the genotyping of ACE polymorphisms were included. Scientometric mapping was conducted using the Bibliometrix package in RStudio to identify publication trends and key thematic terms. Results: From 100 screened articles, 11 met the inclusion criteria. Most studies (72.7%) addressed diabetic peripheral neuropathy, while 27.3% investigated cardiac autonomic neuropathy. All studies analyzed the I/D polymorphism in intron 16 of the ACE gene. The D allele and DD genotype were associated with increased susceptibility to DN in over half of the studies (6/11), while the II genotype was reported as protective in 3/11. Findings varied by ethnicity and study design. The scientometric analysis identified ‘peripheral diabetic neuropathy’, type 2 diabetes’, and ‘ACE gene polymorphism’ as the most frequently co-occurring terms, indicating that research on this topic has been concentrated around these themes, while showing limited diversity in geographic origin and scope. Conclusions: ACE I/D polymorphism appears to modulate susceptibility to DN, though interethnic variability and methodological heterogeneity challenge definitive conclusions. Broader, standardized studies are needed to validate its utility as a predictive biomarker. Full article
(This article belongs to the Special Issue From Monitoring to Management: Addressing Challenges in Type 1 and Type 2 Diabetes Care)
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