Alexithymia in patients with type 2 diabetes mellitus: the role of anxiety, depression, and glycemic control

Avcı, Dilek; Kelleci, Meral

doi:10.2147/ppa.s110903

Cited by 20 publications

(41 citation statements)

References 30 publications

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“…A number of investigative groups have reported epigenetic biomarkers (DNA methylation, microRNAs [miRNAs], and long noncoding RNAs [lncRNAs]) associated with the occurrence of depression; for example, some specific lncRNAs may have the ability to regulate major depression 1 . Many studies have shown that type 2 diabetes mellitus (T2DM) is closely related to the onset and progression of depression 2 – 4 , and several other reports have described the relationships between depression and T2DM 5 – 7 . However, the molecular pathophysiology, particularly the epigenetic regulation, of this association is still unknown.…”

Section: Introductionmentioning

confidence: 99%

Relationships of circular RNA with diabetes and depression

Jiang

et al. 2017

Sci Rep

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Type 2 diabetes mellitus (T2DM) is closely related to depression; however, the exact molecular mechnisms of this association are unknown. Here, we investigated whether circular RNAs (circRNAs) in the blood are related to the occurrence of depression in patients with T2DM. Fourteen patients with T2DM and depressive symptoms, as assessed by the Self-Rating Depression Scale, were included in this study. Cutoff points of 44 (total coarse points) and 55 (standard score) were used to define depression. The Patient Health Questionnaire 9 was used for common mental disorders, and a score of 5 or more the cutoff for depression. Microarray assays and quantitative real-time reverse transcription polymerase chain reaction showed that 183 hsa-circRNAs were significantly upregulated, whereas 64 were downregulated in the T2DM with depression group (p < 0.05) compared with that in the T2DM group. Differentially expressed hsa-circRNAs could interact with microRNAs to target mRNA expression. KEGG pathway analysis predicted that upregulation of hsa-circRNA_003251, hsa-circRNA_015115, hsa-circRNA_100918, and hsa_circRNA_001520 may participate in the thyroid hormone, Wnt, ErbB, and mitogen-activated protein kinase signalling pathways. We speculate that differentially expressed hsa-circRNAs could help us to clarify the pathogenesis of depression in patients with T2DM and could represent novel molecular targets for clinical diagnosis and therapy.

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Section: Introductionmentioning

confidence: 99%

Relationships of circular RNA with diabetes and depression

Jiang

et al. 2017

Sci Rep

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“…We found that most included studies were conducted in Italy (three out of seven), and pertained to cross-sectional research studies. Specifically, four studies adopted a one-sample research design (Luca et al, 2015 ; Avci and Kelleci, 2016 ; Lai et al, 2019 ; Martino et al, 2019a ), whereas three studies also included comparison groups referring to healthy controls (Shahi and Mohammadyfar, 2017 ; Fares et al, 2019 ) or patients with T1DM (Melin et al, 2017 ). Five studies reported specific inclusion/exclusion criteria for patient selection (Avci and Kelleci, 2016 ; Melin et al, 2017 ; Fares et al, 2019 ; Lai et al, 2019 ; Martino et al, 2019a ).…”

Section: Resultsmentioning

confidence: 99%

“…Specifically, four studies adopted a one-sample research design (Luca et al, 2015 ; Avci and Kelleci, 2016 ; Lai et al, 2019 ; Martino et al, 2019a ), whereas three studies also included comparison groups referring to healthy controls (Shahi and Mohammadyfar, 2017 ; Fares et al, 2019 ) or patients with T1DM (Melin et al, 2017 ). Five studies reported specific inclusion/exclusion criteria for patient selection (Avci and Kelleci, 2016 ; Melin et al, 2017 ; Fares et al, 2019 ; Lai et al, 2019 ; Martino et al, 2019a ). The most reported inclusion criterion was having good language proficiency to fully comprehend or perform the psychological administration (Melin et al, 2017 ; Fares et al, 2019 ; Lai et al, 2019 ; Martino et al, 2019a ).…”

Section: Resultsmentioning

confidence: 99%

The Relationship Between Alexithymia and Type 2 Diabetes: A Systematic Review

et al. 2020

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Background: This systematic review analyzed the relationship between alexithymia, considered as the inability to recognize and express thoughts and emotions, and type 2 diabetes mellitus (T2DM), one of the most common chronic illness, characterized by a metabolic disorder burdened by high morbidity and mortality worldwide due to its outcomes. Methods: PRISMA guidelines were followed throughout this systematic review of the recent literature indexed in the databases PubMed, PsycInfo, Scopus, and Web of Science. Search terms for eligible studies were: “Type 2 diabetes” OR “T2DM” AND “Toronto Alexithymia Scale” OR “TAS-20”[All Fields]. Results: The initial search identified 61 indexed scientific publications. After screening we found that seven publications met the established scientific inclusion and exclusion criteria. It emerged that alexithymic patients ranged from 25 to 50% across the examined publications and it appeared that patients with T2DM generally reflected greater values of alexithymia, revealing particular differences among TAS domains. Moreover, emlpoyed participants were alexithymic to a greater extent compared to non-working participants (77.8 vs. 35.4%) and alexithymia was 2.63 times more severe among working participants when examining predictors of alexithymia. When evaluating the correlations between alexithymia and HbA1c or fasting blood glucose levels we found strong associations equal to 0.75 and 0.77 for TAS-20 total scores, respectively. While alexithymic participants showed significantly higher levels of HbA1c and blood glucose when compared to the non-alexithymic participants. Conclusions: The results of this systematic review of the current literature highlight the need of alexithymia evaluation in patients with T2DM. The high prevalence in T2DM and strong associations with poorly regulated diabetes and psychological distress, indicate a significant relationship between poor glycemic control and psychological distress, such as anxiety and depression, and quality of life. Further studies are needed focusing on age and gender differences in order to be able to improve clinical psychological care and prevention.

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“…Depression is highly prevalent among patients with DM, and several studies have shown that DM is associated with depressive symptoms . In addition, depression is related to current age, duration of DM, age at diagnosis of DM, secondary education, poor DM control, high BMI score, being single, high HbA1c level, and the course of disease . In addition, some recent studies showed that preDM was associated with depression symptoms .…”

Section: Discussionmentioning

confidence: 99%