Multicentre analysis of 178,992 type 2 diabetes patients revealed better metabolic control despite higher rates of hypertension, stroke, dementia and repeated inpatient care in patients with comorbid Parkinson's disease

Diabetes mellitus and Parkinson's disease: dangerous liaisons between insulin and dopamine

The relationship between diabetes mellitus and Parkinson's disease has been described in several epidemiological studies over the 1960s to date. Molecular studies have shown the possible functional link between insulin and dopamine, as there is strong evidence demonstrating the action of dopamine in pancreatic islets, as well as the insulin effects on feeding and cognition through central nervous system mechanism, largely independent of glucose utilization. Therapies used for the treatment of type 2 diabetes mellitus appear to be promising candidates for symptomatic and/or disease-modifying action in neurodegenerative diseases including Parkinson's disease, while an old dopamine agonist, bromocriptine, has been repositioned for the type 2 diabetes mellitus treatment. This review will aim at reappraising the different studies that have highlighted the dangerous liaisons between diabetes mellitus and Parkinson's disease.

Diabetes, insulin and new therapeutic strategies for Parkinson's disease: Focus on glucagon-like peptide-1 receptor agonists

Parkinson's disease and diabetes mellitus are two chronic disorders associated with aging that are becoming increasingly prevalent worldwide. Parkinson is a multifactorial progressive condition with no available disease modifying treatments at the moment. Over the last few years there is growing interest in the relationship between diabetes (and impaired insulin signaling) and neurodegenerative diseases, as well as the possible benefit of antidiabetic treatments as neuroprotectors, even in non-diabetic patients. Insulin regulates essential functions in the brain such as neuronal survival, autophagy of toxic proteins, synaptic plasticity, neurogenesis, oxidative stress and neuroinflammation. We review the existing epidemiological, experimental and clinical evidence that supports the interplay between insulin and neurodegeneration in Parkinson's disease, as well as the role of antidiabetic treatments in this disease.

Hypoglycemia in Older Adults: Time Trends and Treatment Differences in Patients Aged ≥75 Years With Type 2 Diabetes

OBJECTIVES

Hypoglycemia is a potentially life-threatening drug event under antidiabetic treatment. The aim of the study was to examine time trends in severe hypoglycemia in older adults with type 2 diabetes mellitus (T2DM) and antidiabetic treatment.

DESIGN

Multicenter prospective diabetes patient follow-up registry (DPV).

SETTING AND PARTICIPANTS

Patients aged ≥75 years with T2DM and documented treatment between 2005 and 2019.

METHODS

Outcomes of interest were rates of severe hypoglycemia, diabetes therapy, body mass index, HbA1c, and estimated glomerular filtration rate. Time trends of outcomes were analyzed in the whole cohort and compared between age groups (75-<80, 80-<85, ≥85 years).

RESULTS

A total of 136,931 patients from 188 diabetes centers were included. The adjusted HbA1c decreased from 7.3% (95% confidence interval 7.3-7.4) in 2005 to 7.2% (7.2-7.2) in 2019 (P < .001), with no significant difference between age groups (P = .47). Rates of severe hypoglycemia decreased from 6.7 (6.0-7.4) to 4.1 of 100 person-years (3.7-4.5) (P < .001) in the entire population. Patients aged ≥85 years had constantly lower HbA1c levels compared with younger groups (P < .001). Although severe hypoglycemia decreased the most in the ≥85 age group (P < .001), severe hypoglycemia remained consistently higher in this group compared with the 75 to <80 years group (P < .001).

CONCLUSIONS AND IMPLICATIONS

During the analyzed time, the risk for severe hypoglycemia decreased. Although drugs with intrinsic risk for hypoglycemia were used less frequently, antidiabetic treatment in older adults should be further improved to continue reducing severe hypoglycemia in this age group, potentially accepting less strict metabolic control and age-specific target ranges.

Charakteristika von Diabetespatienten mit und ohne Pflegebedürftigkeit

Im Rahmen der vorliegenden multizentrischen Auswertung mit 6.424 Pflegepatienten unter 500.973 Menschen mit Diabetes aus dem DPV-Register wird die Erkrankungssituation der Pflegebedürftigen im Vergleich zu Patienten ohne Pflegebedürftigkeit, differenziert nach Altersgruppen und Diabetestyp, dargestellt.

15 % der Pflegebedürftigen haben einen Typ-1-Diabetes, darunter fallen 99,0 % der Kinder, 9,5 % der 18- bis 75-Jährigen und 2,4 % der über 75-Jährigen. Pflegebedürftigkeit ist bei Erwachsenen und Senioren insbesondere mit den Krankheitsbildern Demenz, Depression, Herzinsuffizienz, Durchblutungsstörungen der Hirngefäße/Schlaganfall sowie mit dem diabetischen Fußsyndrom/Amputationen assoziiert. In der diabetologischen Therapie des Typ-2-DM wird bei 77 % der Pflegebedürftigen und damit deutlich häufiger als in der Vergleichsgruppe mit 55 % Insulin eingesetzt. Trotz höherer HbA1c-Werte und höherer Nüchternglukose als bei Typ-2-Patienten ohne Pflege treten unter Pflegebedürftigen gleichzeitig signifikant häufiger Hypoglykämien mit und ohne Koma auf. Stoffwechselbedingte Entgleisungen führten bei 15 % der Pflegepatienten mit Typ-2-DM gegenüber nur 6 % der Menschen mit Typ-2-DM ohne Pflegebedarf zu Klinikaufnahmen.

Im Rahmen der Versorgung sollte verstärkt auf die Vermeidung von Stoffwechselentgleisungen geachtet und präventiv auf einen späteren Eintritt der assoziierten Krankheitsbilder hingewirkt werden. Die Versorgungsstrukturen sollten regional auf die Begleitung der Betroffenen spezialisiert werden. In der Aus- und Weiterbildung von Pflegepersonal und Ärzten sollten die Besonderheiten von jungen und alten Menschen mit Typ-1- und Typ-2-Diabetes stärker beachtet werden.

Lipid Metabolism is the common pathologic mechanism between Type 2 Diabetes Mellitus and Parkinson's disease

Although increasing evidence has suggested crosstalk between Parkinson's disease (PD) and type 2 diabetes mellitus (T2DM), the common mechanisms between the two diseases remain unclear. The aim of our study was to characterize the interconnection between T2DM and PD by exploring their shared biological pathways and convergent molecules. The intersections among the differentially expressed genes (DEGs) in the T2DM dataset GSE95849 and PD dataset GSE6613 from the Gene Expression Omnibus (GEO) database were identified as the communal DEGs between the two diseases. Then, an enrichment analysis, protein-protein interaction (PPI) network analysis, correlation analysis, and transcription factor-target regulatory network analysis were performed for the communal DEGs. As a result, 113 communal DEGs were found between PD and T2DM. They were enriched in lipid metabolism, including protein modifications that regulate metabolism, lipid synthesis and decomposition, and the biological effects of lipid products. All these pathways and their biological processes play important roles in both diseases. Fifteen hub genes identified from the PPI network could be core molecules. Their function annotations also focused on lipid metabolism. According to the correlation analysis and the regulatory network analysis based on the 15 hub genes, Sp1 transcription factor (SP1) could be a key molecule since it affected other hub genes that participate in the common mechanisms between PD and T2DM. In conclusion, our analyses reveal that changes in lipid metabolism could be a key intersection between PD and T2DM, and that SP1 could be a key molecule regulating these processes. Our findings provide novel points for the association between PD and T2DM.

Analysis of the Relationship between Type II Diabetes Mellitus and Parkinson's Disease: A Systematic Review

In the early sixties, a discussion started regarding the association between Parkinson's disease (PD) and type II diabetes mellitus (T2DM). Today, this potential relationship is still a matter of debate. This review aims to analyze both diseases concerning causal relationships and treatments. A total of 104 articles were found, and studies on animal and “in vitro” models showed that T2DM causes neurological alterations that may be associated with PD, such as deregulation of the dopaminergic system, a decrease in the expression of peroxisome proliferator-activated receptor-gamma coactivator-1α (PGC-1α), an increase in the expression of phosphoprotein enriched in diabetes/phosphoprotein enriched in astrocytes 15 (PED/PEA-15), and neuroinflammation, as well as acceleration of the formation of alpha-synuclein amyloid fibrils. In addition, clinical studies described that Parkinson's symptoms were notably worse after the onset of T2DM, and seven deregulated genes were identified in the DNA of T2DM and PD patients. Regarding treatment, the action of antidiabetic drugs, especially incretin mimetic agents, seems to confer certain degree of neuroprotection to PD patients. In conclusion, the available evidence on the interaction between T2DM and PD justifies more robust clinical trials exploring this interaction especially the clinical management of patients with both conditions.

Neurological outcomes of antidiabetic therapy: What the neurologist should know

Considering the causative or contributory effects of diabetes mellitus on common neurological diseases such as polyneuropathy, stroke and dementia, modern antidiabetic drugs may be expected to reduce incidence or progression of these conditions. Nevertheless, most observed benefits have been small, except in the context of therapy for diabetes mellitus type I and new-onset polyneuropathy. Recently, semaglutide, a GLP-1 analog, has been shown to significantly reduce stroke incidence in a randomized controlled trial. Beneficial effects of antidiabetic drugs on stroke severity or outcome have been controversial, though. The level of risk conferred by diabetes mellitus, the complex pathophysiology of neurological diseases, issues of trial design, side-effects of antidiabetic drugs as well as co-medication might be interacting factors that determine the performance of antidiabetic therapy with respect to neurological outcomes. It might be speculated that early treatment of prediabetes might prevent cerebral arteriosclerosis, cognitive decline or polyneuropathy more effectively, but this remains to be demonstrated.

Female sex, young age, northern German residence, hypoglycemia and disabling diabetes complications are associated with depressed mood in the WHO-5 questionnaire - A multicenter DPV study among 17,563 adult patients with type 2 diabetes

BACKGROUND

Like other mental illnesses, depression is a culturally sensitive topic. Hence, findings cannot be transferred between countries. We investigated the frequency of depressed mood and its association with diabetes-related factors in a large type 2 diabetes (T2D) cohort from real-life care in Germany.

METHODS

17,563 adults (median [IQR]: 64.5[55.9-71.1] years) from the multicenter diabetes follow-up registry, DPV (diabetes prospective follow-up), were investigated. All had completed the WHO-5 questionnaire, a screening tool for depression. Logistic regression was applied to study the association of demographic and diabetes-related factors with depressed mood (SAS 9.4). P<0.05 was considered significant.

RESULTS

Using a WHO-5 cut-off of <13, 27.4% of patients were at risk for depressed mood. A clinical depression diagnosis was recognized in 8.4%. Female sex (OR: 1.5[95%-CI: 1.4-1.6]), young age (1.2[1.1-1.4]), longer diabetes duration (1.2[1.1-1.3]), and living in Northern Germany (1.3[1.2-1.4]) were each associated with increased odds for depressed mood. After adjusting for these confounders, worse glycemic control (1.4[1.3-1.5]), insulin use (1.3[1.2-1.4]), myocardial infarction (1.3[1.2-1.5]), stroke (1.8[1.5-2.0]), retinopathy (1.4[1.3-1.6]), renal failure (1.4[1.2-1.8]), diabetic foot syndrome (1.3[1.2-1.4]), severe hypoglycemia (1.5[1.2-1.9]), two or more inpatient admissions (2.1[1.8-2.4]), and longer duration of hospital stay (1-<14 days: 1.3[1.2-2.3]; >14 days: 2.1[1.9-2.3]) were related to depressed mood.

LIMITATION

Due to the cross-sectional design, no causality can be drawn.

CONCLUSIONS

In T2D, depressed mood is not uncommon. However, in routine care a clinical depression might be missed and regular screening is advisable. Besides the well-known associations with depressed mood, northern German residence and mainly life-compromising diabetes comorbidities were identified as related factors.

High rate of hypoglycemia in 6770 type 2 diabetes patients with comorbid dementia: A multicenter cohort study on 215,932 patients from the German/Austrian diabetes registry

AIMS

Dementia and type 2 diabetes (T2D) are two major phenomena in older people. To compare anti-hyperglycemic therapy and diabetes-related comorbidities between elderly T2D patients with or without comorbid dementia.

METHODS

215,932 type 2 diabetes patients aged ≥ 40 years (median [Q1;Q3]: 70.4 [61.2;77.7] years) from the standardized, multicenter German/Austrian diabetes patient registry, DPV, were studied. To identify patients with comorbid dementia, the registry was searched by ICD-10 codes, DSM-IV/-5 codes, respective search terms and/or disease-specific medication. For group comparisons, multiple hierarchic regression modeling with adjustments for age, sex, and duration of diabetes was applied.

RESULTS

3.1% (n=6770; 57% females) of the eligible T2D patients had clinically recognized comorbid dementia. After adjustment for demographics, severe hypoglycemia (insulin group: 14.8 ± 0.6 vs. 10.4 ± 0.2 events per 100 patient-years, p<0.001), hypoglycemia with coma (insulin group: 7.6 ± 0.4 vs. 3.9 ± 0.1 events per 100 patient-years, p<0.001), depression (9.9 vs. 4.7%, p<0.001), hypertension (74.7 vs. 72.2%, p<0.001), stroke (25.3 vs. 6.5%, p<0.001), diabetic foot syndrome (6.0 vs. 5.2%, p=0.004), and microalbuminuria (34.7 vs. 32.2%, p<0.001) were more common in dementia patients compared to T2D without dementia. Moreover, patients with dementia received insulin therapy more frequently (59.3 vs. 54.7%, p<0.001), but metabolic control (7.7 ± 0.1 vs. 7.7 ± 0.1%) was comparable to T2D without dementia.

CONCLUSIONS

In T2D with dementia, higher rates of hypoglycemia and other diabetes-related comorbidities were observed. Hence, the risks of a glucocentric and intense diabetes management with insulin and a focus on tight glycemic control without considering other factors may outweigh the benefits in elderly T2D patients with comorbid dementia.

Impact of Physical Activity on Glycemic Control and Prevalence of Cardiovascular Risk Factors in Adults With Type 1 Diabetes: A Cross-sectional Multicenter Study of 18,028 Patients

OBJECTIVE

Physical activity (PA) can improve cardiovascular risk in the general population and in patients with type 2 diabetes. Studies also indicate an HbA(1c)-lowering effect in patients with type 2 diabetes. Since reports in patients with type 1 diabetes are scarce, this analysis aimed to investigate whether there is an association between PA and glycemic control or cardiovascular risk in subjects with type 1 diabetes.

RESEARCH DESIGN AND METHODS

A total of 18,028 adults (≥18 to <80 years of age) from Germany and Austria with type 1 diabetes from the Diabetes-Patienten-Verlaufsdokumentation (DPV) database were included. Patients were stratified according to their self-reported frequency of PA (PA0, inactive; PA1, one to two times per week; PA2, more than two times per week). Multivariable regression models were applied for glycemic control, diabetes-related comorbidities, and cardiovascular risk factors. Data were adjusted for sex, age, and diabetes duration. P values for trend were given. SAS 9.4 was used for statistical analysis.

RESULTS

An inverse association between PA and HbA(1c), diabetic ketoacidosis, BMI, dyslipidemia (all P < 0.0001), and hypertension (P = 0.0150), as well as between PA and retinopathy or microalbuminuria (both P < 0.0001), was present. Severe hypoglycemia (assistance required) did not differ in PA groups (P = 0.8989), whereas severe hypoglycemia with coma was inversely associated with PA (P < 0.0001).

CONCLUSIONS

PA seemed to be beneficial with respect to glycemic control, diabetes-related comorbidities, and cardiovascular risk factors without an increase of adverse events. Hence, our data underscore the recommendation for subjects with type 1 diabetes to perform regular PA.

Association of physical activity with glycaemic control and cardiovascular risk profile in 65 666 people with type 2 diabetes from Germany and Austria

AIMS

To provide representative data from routine diabetes care concerning the physical activity levels of people with type 2 diabetes, and to show the association of activity level with cardio-metabolic risk profile in a gender-specific analysis.

METHODS

The anonymized data from 65 666 subjects with type 2 diabetes, who have been receiving treatment in specialized diabetes institutions, were analysed using a large multi-centre database. The population was categorized as physically inactive (PA0), active 1-2 times per week (PA1), active >2 times per week (PA2), and then stratified by age (20-59 and 60-80 years). BMI, glycaemic control (measured by HbA(1c) levels), blood pressure, lipid profile and therapeutic regimen were adjusted for age, gender and diabetes duration.

RESULTS

Most subjects were inactive (PA0: 90%; PA1: 6%, PA2: 4%). BMI, HbA(1c) and lipid profiles were better in older subjects and hypertension rates were lower in younger subjects. In both age groups, BMI, HbA(1c) (both P < 0.0001) and triglycerides (P < 0.002) were lower in the most active group PA2 compared with the inactive group PA0. HDL was higher in elderly (P < 0.0001) and pulse pressure (P = 0.03) lower in younger most active subjects only. Insulin therapy was used more frequently by the physically inactive and by older people.

CONCLUSIONS

This survey indicates that glycaemic control and cardio-metabolic risk profiles in people with type 2 diabetes are positively related to physical activity. The effects of physical activity were beneficial in younger as well as in older people. The high number of inactive people with diabetes underlines the need to promote physical activity and sport.

Clinical characteristics and outcome of 467 patients with a clinically recognized eating disorder identified among 52,215 patients with type 1 diabetes: a multicenter german/austrian study

OBJECTIVE

To compare clinical characteristics and outcome of type 1 diabetes mellitus (T1DM) between patients with and without a clinically recognized eating disorder (ED).

RESEARCH DESIGN AND METHODS

A total of 52,215 T1DM patients aged 8 to <30 years from the prospective diabetes data acquisition system DPV were analyzed. A total of 467 patients had an additional diagnosis of ED according to DSM-IV criteria (anorexia nervosa [AN], n = 141 [female: 94.3%]; bulimia nervosa [BN], n = 62 [90.3%]; and EDs not otherwise specified, including binge-eating disorder [EDNOS], n = 264 [74.2%]). Groups were compared using multivariable regression. Cox proportional hazard ratios were calculated for the association between ED and retinopathy.

RESULTS

After adjustment for age, sex, and duration of diabetes, patients with ED revealed higher HbA1c (no ED vs. AN, BN, or EDNOS, respectively: 8.29 ± 0.01% [67.1 ± 0.1 mmol/mol] vs. 8.61 ± 0.15% [70.6 ± 1.6 mmol/mol], 9.11 ± 0.23% [76.1 ± 2.5 mmol/mol], or 9.00 ± 0.11% [74.9 ± 1.2 mmol/mol]) and a higher rate of pathological insulin injection sites (48.4 vs. 64.3, 64.1, or 62.1%). Furthermore, ketoacidosis (5.7 ± 0.1 vs. 12.1 ± 2.1, 18.0 ± 4.1, or 12.9 ± 1.6 events per 100 person-years) and hospitalization (54.9 ± 0.3 vs. 89.3 ± 6.0, 132.0 ± 12.7, or 91.0 ± 4.4 per 100 person-years) were more common, and duration of hospital stay was longer (4.81 ± 0.01 vs. 11.31 ± 0.21, 18.05 ± 0.48, or 8.44 ± 0.13 days per year). All P values were <0.05. Patients with BN and EDNOS had a 2.5-fold (95% CI 1.3-4.8) and a 1.4-fold (0.8-2.3) higher risk for retinopathy, whereas AN patients had no increased risk (0.9 [95% CI 0.4-2.3]).

CONCLUSIONS

Diabetes health care professionals should be aware of comorbid EDs in pediatric/young-adult T1DM patients. An ED diagnosis is associated with worse metabolic control and higher rates of diabetes complications.

System-based approaches to decode the molecular links in Parkinson's disease and diabetes

A growing body of evidence indicates an increased risk for developing Parkinson's disease (PD) among people with type 2 diabetes (T2DM). The relationship between the etiology and development of both chronic diseases is beginning to be uncovered and recent studies show that PD and T2DM share remarkably similar dysregulated pathways. It has been proposed that a cascade of events including mitochondrial dysfunction, impaired insulin signaling, and metabolic inflammation trigger neurodegeneration in T2DM models. Network-based approaches have elucidated a potential molecular framework linking both diseases. Further, transcriptional signatures that modulate the neurodegenerative phenotype in T2DM have been identified. Here we contextualize the current experimental approaches to dissect the mechanisms underlying the association between PD and T2DM and discuss the existing challenges toward the understanding of the coexistence of these devastating aging diseases.

Diabetes and risk of Parkinson's disease: an updated meta-analysis of case-control studies

BACKGROUND

Whether diabetes increases the risk of Parkinson's disease (PD) is still inconclusive. The objective of this updated meta-analysis is to synthesize evidence from case-control studies that evaluated the association between diabetes and the risk of PD.

METHODS

Seven databases were searched to identify case-control studies that evaluated the association between diabetes and PD. The methodological quality of included studies was assessed using Newcastle-Ottawa scale. All data were analyzed using Review Manager 5.1 software. Subgroup analyses were also adopted, according to stratification on gender, geographic location, source of the control group, smoking, anti-diabetes drug prescription and duration of DM.

RESULTS

Fourteen studies fulfilled inclusion criteria for meta-analysis, yielding a total of 21395 PD patients and 84579 control subjects. Individuals with diabetes were found to have a negative association with future PD (OR 0.75; 95% CI 0.58-0.98) in spite of significant heterogeneity. In subgroup analyses, the negative correlation was still found in studies from North America, non-PD control groups from general population, never smoking individuals, and DM ascertainment based on questionnaire or self-report. Stratification of gender and DM duration showed no significant association. No association was also found in European and Asian individuals, hospital-based controls, ever smoking subjects, DM assessment by medical record or physician diagnosis, and insulin prescription for DM.

CONCLUSION

Evidence from case-control studies suggested that diabetic individuals may have a decreased incidence of PD despite significant heterogeneity. More researches are warranted to clarify an understanding of the association between diabetes and risk of PD.