Association between symptoms of depression, diabetes complications and vascular risk factors in four European cohorts of individuals with type 1 diabetes – InterDiane Consortium

Ahola, Aila J.; Radzevičienė, Lina; Zaharenko, Linda; Bulum, Tomislav; Skrebinska, Sabīne; Prakapienė, Edita; Blaslov, Kristina; Roso, Vinko; Rovīte, Vita; Pīrāgs, Valdis; Duvnjak, Lea; Sokolovska, Jeļizaveta; Verkauskienė, Rasa; Forsblom, Carol

doi:10.1016/j.diabres.2020.108495

Cited by 11 publications

(10 citation statements)

References 37 publications

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“…For this study, in Latvia and Lithuania, patients with T1D were recruited in frames of the international InterDiane consortium. Inclusion criteria for the study were: adult (age ≥ 18 years) patients with a history and established treatment of T1D (defined as an age of diagnosis younger than 40 years, with insulin treatment initiated within one year of diagnosis and C-peptide levels below 0.3 nmol/L) [ 28 ]. Exclusion criteria were any diabetes diagnosed after 40 years of age, C-peptide levels above 0.3 nmol/L, and treatment with oral hypoglycaemic agents for more than one year after diagnosis.…”

Section: Methodsmentioning

confidence: 99%

Telomere Lengths and Serum Proteasome Concentrations in Patients with Type 1 Diabetes and Different Severities of Diabetic Retinopathy in Latvia and Lithuania

Svikle

Pahirko

Zariņa

et al. 2022

JCM

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The aim of the study was to compare telomere lengths and circulating proteasome concentrations in patients with different stages of diabetic retinopathy and type 1 diabetes in Latvia and Lithuania. Methods. Patients with no diabetic retinopathy and with non-proliferative diabetic retinopathy were included in the NDR/NPDR group (n = 187). Patients with proliferative diabetic retinopathy and status post laser-photocoagulation were included int the PDR/LPC group (n = 119). Telomeres were evaluated by real-time quantitative polymerase chain reaction. Proteasome concentration was measured by ELISA. Results. Telomeres were longer in PDR/LPC (ΔCT 0.21 (0.12–0.28)) vs. NDR/NPDR (ΔCT 0.18 (0.1–0.28)), p = 0.036. In NDR/NPDR, telomeres were correlated negatively with age (R = −0.17, p = 0.019), BMI (R = −0.21, p = 0.004), waist/hip ratio (R = −0.21, p = 0.005), total cholesterol (R = −0.18, p = 0.021), and low-density cholesterol (R = −0.20, p = 0.010), and positively with estimated glomerular filtration rate (eGFR) (R = 0.28, p < 0.001). None of the above correlations were observed in PRD/LPC. Proteasome concentrations were lower in PDR/LPC (130 (90–210) ng/mL) vs. NDR/NPDR (150 (100–240) ng/mL), p = 0.024. This correlated negatively with eGFR (R = −0.17, p = 0.025) in the NDR/NPDR group and positively with age (R = 0.23, p = 0.014) and systolic blood pressure (R = 0.20, p = 0.032) in the PRD/LPC group. Telomere lengths did not correlate with proteasome concentrations. Conclusion. Longer telomeres and lower circulating proteasome concentrations are observed in patients with type 1 diabetes and advanced diabetic retinopathy.

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Section: Methodsmentioning

confidence: 99%

Telomere Lengths and Serum Proteasome Concentrations in Patients with Type 1 Diabetes and Different Severities of Diabetic Retinopathy in Latvia and Lithuania

Svikle

Pahirko

Zariņa

et al. 2022

JCM

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“…Six studies were from Europe [ 21 , 23 , 28 , 37 , 40 , 46 ], one from Africa [ 29 ], 16 from Asia [ 19 , 20 , 22 , 24 , 26 , 30 – 33 , 35 , 36 , 38 , 39 , 41 , 45 , 47 ], and 7 from America [ 18 , 25 , 27 , 34 , 42 – 44 ]. There were 10 prospective cohort studies [ 18 , 22 , 25 , 35 , 37 , 40 , 43 , 44 , 46 , 47 ], 18 cross-sectional studies [ 19 – 21 , 23 , 26 – 30 , 32 , 33 , 35 , 36 , 38 , 39 , 41 ], 2 case-control studies [ 23 , 31 ]. The largest number of participants were 933,211, while the longest follow-up time was 25 years.…”

Section: Resultsmentioning

confidence: 99%

“…Second, DN and depression might be assessed differently in different studies that potentially influenced the result. For the diagnostic methods of DN, 18 studies did not describe any specific evaluation method [ 18 – 21 , 23 – 26 , 29 – 31 , 33 , 36 – 39 , 41 , 43 ], 5 studies used UAER/UACR/albuminuria to assess renal function [ 22 , 33 , 40 , 45 , 46 ], and 4 studies used eGFR [ 27 , 28 , 32 , 44 ]. For the depression assessment, diagnostic interview was a gold standard for major depression, only 2 studies adopted this method [ 19 , 21 ].…”

Section: Discussionmentioning

confidence: 99%

Bidirectional association between depression and diabetic nephropathy by meta-analysis

et al. 2022

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Background Studies suggested that the association between depression and diabetic nephropathy may be bi-directional, but this hypothesis remains investigating. In this meta-analysis, the bi-directional relationship between depression and diabetic nephropathy was investigated. Methods A search for the publications on depression and diabetic nephropathy in the databases of PubMed, Web of science, and Embase from the earliest available to August 2022 was conducted. Two sets of pooled risk estimates were calculated using random effects models: diabetic nephropathy predicting depression and depression predicting diabetic nephropathy. Cross-sectional studies were assessed using Agency for Healthcare Research and Quality (AHRQ), cohort and case-control studies were assessed using Newcastle-Ottawa Scale (NOS). Result Of the 974,121 patients in 30 clinical studies, 24 studies met eligibility for diabetic nephropathy predicting onset of depression, representing 28,438 incident cases. The other 6 studies met criteria for depression predicting onset of diabetic nephropathy, representing 945,683 incident cases. The pooled odds ratio (OR) of diabetic nephropathy predicting depression was 1.46 (95% CI 1.27–1.67). The OR of depression predicting diabetic nephropathy was 1.22 (95% CI 1.13–1.31). Conclusion This meta-analysis shows that the relationship between depression and diabetic nephropathy may be bidirectional. Diabetic nephropathy may be a predictor of depression, and depression may also be an indicator of diabetic nephropathy. The mechanisms underlying the bidirectional relationship need to be further investigated and interventions of the comorbidity of depression and diabetic nephropathy need be studied in clinical practice.

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“…In the multivariable model, Beck Depression Inventory ( BDI) score was positively associated with the presence of diabetic nephropathy, proliferative retinopathy, major adverse cardiovascular events (MACE), and metabolic syndrome and its triglyceride component. Moreover, BDI score was positively associated with the number of metabolic syndrome components, triglyceride concentration, and HbA1c 14 …”

Section: Introductionmentioning

confidence: 96%

“…Moreover, BDI score was positively associated with the number of metabolic syndrome components, triglyceride concentration, and HbA1c. 14 Psychiatrists, psychologists and diabetologists still question the aetiology of the comorbidity of T1DM and depression. T1DM is now widely thought to be an organ-specific autoimmune disease.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the spectrum of depression and bipolarity in patients with type 1 diabetes

Cyranka

Matejko

et al. 2022

Diabetes Metabolism Res

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Aims:The aim of the study was to check the prevalence of unipolarity (depression), bipolarity, as well as the quality of sleep and temperament traits in patients with type 1 diabetes (T1DM) who are provided with optimal conditions of diabetes care and to identify possible risk factors connected with affective traits. Materials and Methods: Out of the 107 T1DM patients, 78 (54 females, 24 males) were included for the analysis (HbA1c [%] 7.11 � 1.0, BMI [kg/m 2 ] 25.3 � 5.6; Years of disease duration [N] 13.7 � 8.3). The patients filled in a set of questionnaires during their regular visit to the outpatient clinic. Three patients from the whole group were on intensive insulin therapy with Multiple Daily Injections (MDI) and Self-Monitoring of Blood Glucose (SMBG), all the rest were on various types of personal insulin pumps (years on insulin pump [N] 9.1 � 4.5). All the patients were on regular diabetologist care, with regular visits in a Centre for Advanced Technologies in Diabetes (at least every 6 months). Results:In QIDS-S (full explanation and abbreviation 26 patients (33.8%) were screened positive for depression, in PHQ (full explanation and ab 57.7% of the patients (45 patients) had symptoms of depression (age was negatively correlated with PHQ score [r = −0.26; p = 0.023]). In CES-D 16 (20%) of the patients assessed their present affect as depressed. None of the analysed clinical variables correlated with depression scores. In the Mood Disorder Questionnaire (MDQ), 16 patients reported having symptoms of bipolarity (20.5% vs. 79.5%). Hypomania Checklist (HCL) analysis indicated 10 patients with bipolar traits (>14) (14.9% vs. 85.1%).None of the analysed clinical variables correlated with HCL results. 11.5% of patients were indicated to be of morning type. Morningness was more often seen in younger patients (r = 0.39; p = 0.001). As many as 46.6% declared that they had poor sleep quality. The temperament traits analysis correlated with clinical parameters: Cyclothymic temperament trait was negatively correlated with age (r = −0.30; p = 0.007) and positively with HbA1c level (r = 0.30; p = 0.025).Hyperthymic temperament was positively correlated with (BMI r = 0.28; p = 0.016).

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Association between symptoms of depression, diabetes complications and vascular risk factors in four European cohorts of individuals with type 1 diabetes – InterDiane Consortium

Cited by 11 publications

References 37 publications

Telomere Lengths and Serum Proteasome Concentrations in Patients with Type 1 Diabetes and Different Severities of Diabetic Retinopathy in Latvia and Lithuania

Telomere Lengths and Serum Proteasome Concentrations in Patients with Type 1 Diabetes and Different Severities of Diabetic Retinopathy in Latvia and Lithuania

Bidirectional association between depression and diabetic nephropathy by meta-analysis

Assessment of the spectrum of depression and bipolarity in patients with type 1 diabetes

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