Reduced heart rate variability in people with type 1 diabetes and elevated diabetes distress: Results from the longitudinal observational DIA-LINK1 study.

AIMS: People with type 1 diabetes have a higher risk for cardiovascular disease (CVD). Reduced heart rate variability (HRV) is a clinical marker for CVD. In this observational study using continuous HRV measurement across 26 days, we investigated whether psychological stressors (diabetes distress, depressive symptoms) and glycaemic parameters (hypo- and hyperglycaemic exposure, glycaemic variability and HbA1c ) are associated with lower HRV in people with type 1 diabetes. METHODS: Data from the non-interventional prospective DIA-LINK1 study were analysed. At baseline, depressive symptoms and diabetes distress were assessed. Glucose values and HRV were recorded daily for 26 days using continuous glucose monitoring (CGM) and a wrist-worn health tracker respectively. Multilevel modelling with participant as nesting factor was used to analyse associations between day-to-day HRV and diabetes distress, depressive symptoms and CGM-derived parameters. RESULTS: Data from 149 participants were analysed (age: 38.3 ± 13.1 years, HbA1c : 8.6 ± 1.9%). Participants with elevated diabetes distress had a significantly lower HRV across the 26 days compared to participants without elevated distress (ß = -0.28; p = 0.004). Elevated depressive symptoms were not significantly associated with HRV (ß = -0.18; p = 0.074). Higher daily exposure to hyperglycaemia (ß = -0.44; p = 0.044), higher average exposure to hypoglycaemia (ß = -0.18; p = 0.042) and higher HbA1c (ß = -0.20; p = 0.018) were associated with reduced HRV across the 26 days. Sensitivity analysis with HRV averaged across all days corroborated these results. CONCLUSIONS: Diabetes distress is a clinically meaningful psychosocial stressor that could play a role in the cardiovascular health of people with type 1 diabetes. These findings highlight the need for integrated psychosocial care in diabetes management.

Evaluation of a Stepped Care Approach to Manage Depression and Diabetes Distress in Patients with Type 1 Diabetes and Type 2 Diabetes: Results of a Randomized Controlled Trial (ECCE HOMO Study).

INTRODUCTION: Depression is a common and serious complication of diabetes. Treatment approaches addressing the specific demands of affected patients are scarce. OBJECTIVE: The aim of this work was to test whether a stepped care approach for patients with diabetes and depression and/or diabetes distress yields greater depression reduction than treatment-as-usual. METHODS: Two-hundred and sixty patients with diabetes and elevated depressive symptoms (CES-D ≥16) and/or elevated diabetes distress (PAID ≥40) were randomized to stepped care for depression or diabetes treatment-as-usual. The primary outcome was the rate of meaningful depression reduction at the 12-month follow-up according to the HAMD (score <9 or reduction by ≥50%). Secondary outcomes were changes in depression scores (HAMD/CES-D), diabetes distress (PAID), diabetes acceptance (AADQ), well-being (WHO-5), quality of life (EQ-5D/SF-36), self-care behavior (SDSCA/DSMQ), HbA1c, and biomarkers of inflammation. RESULTS: One-hundred and thirty-one individuals were assigned to stepped care and 129 to treatment-as-usual. Overall, 15.4% were lost to follow-up. Meaningful depression reduction was observed in 80.2 versus 51.2% in stepped care versus treatment-as-usual (p < 0.001, intention-to-treat analysis). Of the secondary measures, the HAMD (∆ -3.2, p < 0.001), WHO-5 (∆ 1.5, p = 0.007), and AADQ (∆ -1.0, p = 0.008) displayed significant treatment effects, while effects on CES-D (∆ -2.3, p = 0.065), PAID (∆ -3.5, p = 0.109), and SDSCA (∆ 0.20, p = 0.081) were not significantly different. Both groups showed comparable changes in EQ-5D/SF-36, DSMQ, HbA1c, and biomarkers of inflammation (all p ≥ 0.19). CONCLUSIONS: The stepped care approach improved depression, well-being, and acceptance. The results support that increasing treatment intensity on demand is effective and can help provide more optimal treatment. The inclusion of diabetes-specific interventions may be beneficial for patients with diabetes and elevated depression.

Long-term study of tubeless insulin pump therapy compared to multiple daily injections in youth with type 1 diabetes: Data from the German/Austrian DPV registry.

OBJECTIVE: To examine glycemic control in youth with type 1 diabetes (T1D) who switched from multiple daily injections (MDI) to a tubeless insulin pump (Omnipod Insulin Management System, Insulet Corporation, Billerica, Massachusetts) compared to patients who continued MDI therapy over a 3-year time period. RESEARCH DESIGN AND METHODS: This retrospective analysis of the German/Austrian Diabetes Patienten Verlaufsdokumentation registry included data from 263 centers and 2529 patients <20 years (n = 660 tubeless insulin pump; n = 1869 MDI) who initiated treatment on a tubeless insulin pump as of January 1, 2013 and had 1 year of data preswitch from MDI and 3 years of data postswitch to a tubeless pump. Outcomes included the change in glycated hemoglobin (HbA1c), insulin dose, and body mass index (BMI) SD score (SDS). RESULTS: Youth with T1D who switched from MDI therapy to a tubeless insulin pump showed better glycemic control at 1 year compared to patients who continued MDI treatment, adjusted mean ± SE: 7.5% ± 0.03% (58 mmol/mol) vs 7.7% ± 0.02% (61 mmol/mol); P < .001, with no between-group difference at 2 and 3 years. Total daily insulin dose was lower (P < .001) in the tubeless insulin pump group, 0.80 ± 0.01, 0.81 ± 0.01, and 0.85 ± 0.01 U/kg, vs the MDI group, 0.89 ± 0.01, 0.94 ± 0.01, and 0.97 ± 0.01 U/kg, at 1, 2, and 3 years, respectively (all P < .001). BMI SDS increased in both groups and was not different over time. CONCLUSIONS: Treatment with a tubeless insulin pump in youth with T1D was associated with improvements in glycemic control compared to MDI after 1 year and appears to be an effective alternative to MDI.

Effects of age, gender, and body mass index on efficacy and hypoglycaemia outcomes across treat-to-target trials with insulin glargine 100 U/mL added to oral antidiabetes agents in type 2 diabetes.

AIMS: To analyse the effects of patient characteristics and different oral antidiabetes drug (OAD) use on standardised clinical outcomes in type 2 diabetes patients initiating insulin glargine 100 U/mL (Gla-100). MATERIALS AND METHODS: Patient-level data from 16 randomized, treat-to-target clinical trials that added Gla-100 to existing metformin (MET), sulfonylurea (SU) or metformin plus sulfonylurea (MET+SU) treatment in insulin-naïve patients inadequately controlled by oral therapy were analysed and patients were followed for ≥24 weeks. Change in glycated haemoglobin A1c (HbA1c) from baseline to week 24, other glycaemic endpoints and incidence of hypoglycaemia (overall, nocturnal, and severe) were analysed by age (<65 vs ≥65 years), gender (male vs female), body mass index (BMI; <25 vs ≥25 to <30 vs >30 kg/m2 ) and concomitant OAD (MET vs SU vs MET+SU). RESULTS: At baseline, the overall population (N = 3188) had a mean age of 57.7 years, BMI of 30.5 kg/m2 , HbA1c of 8.7%, fasting plasma glucose of 192 mg/dL, and 52.7% were male. Younger and older patients had similar HbA1c reductions with Gla-100 and a similar risk of hypoglycaemia. Females and patients with BMI <25 kg/m2 were less likely to achieve HbA1c targets and more likely to experience hypoglycaemia, regardless of concomitant OAD. Adding Gla-100 to SU therapy (alone or in combination with MET) increased hypoglycaemia risk across all analyses. CONCLUSIONS: Our data suggest that female patients with type 2 diabetes and normal-weight patients treated with Gla-100 and MET ± SU are less likely to achieve glycaemic targets and, therefore, may require more clinical attention. Addition of Gla-100 to SU regimens may increase hypoglycaemia risk irrespective of age, gender, or BMI.

Treatment satisfaction and quality-of-life between type 2 diabetes patients initiating long- vs. intermediate-acting basal insulin therapy in combination with oral hypoglycemic agents--a randomized, prospective, crossover, open clinical trial.

BACKGROUND: Pharmacological and clinical differences between insulin glargine and NPH insulin may translate into differences in patient reported outcomes, but existing data are equivocal. METHODS: In this 48-week, open-label, randomized, multi-center, crossover phase IV trial, insulin naïve type 2 diabetes patients with blood glucose not at target on oral hypoglycemic agents had basal insulin added to their treatment regimen. A total of 343 patients were randomized to either receive insulin glargine (n = 176; sequence A) or neutral protamine Hagedorn (NPH) insulin (n = 167; sequence B) in period 1 (weeks 1-24) and vice versa in period 2 (weeks 25-48). The primary objective was to assess patient reported outcomes using a composite Diabetes Related Quality of Life (DRQoL) score based on an unweighted Insulin Treatment Experience Questionnaire (ITEQ) score, a Problem Areas in Diabetes (PAID) questionnaire score, and the mental health score in the Short Form (SF)-12® Health Survey, analyzed by analysis of covariance (ANCOVA). RESULTS: Patients (mean age 62.3 ± 9.0; 39.5 % female) had a mean diabetes duration of 9.6 ± 5.9 years, a mean baseline HbA1c of 8.15 ± 0.72 %, and a mean fasting blood glucose (FBG) level of 9.37 ± 2.19 mmol/L. A total of 229 patients were available for primary endpoint evaluation (modified intention to treat population). Combining all data from both periods for each insulin treatment, on a 0-100 scale, the mean DRQoL score was 69.6 (±9.04) with insulin glargine and 70.0 (±9.40) with NPH insulin. Neither an effect of treatment with insulin glargine vs NPH insulin (p = 0.31) nor a period effect (p = 0.96), nor a sequence effect (p = 0.76) was observed using ANCOVA. CONCLUSIONS: The results show that in a patient population with sub-optimal glycemic control at baseline, and a low target achievement rate together with a low rate of hypoglycemia, differences in the patient reported outcomes evaluated in this study were negligible between insulin glargine and NPH insulin. TRIAL REGISTRATION: Clinicaltrials.gov identifier: NCT00941369.

Negative association between depression and diabetes control only when accompanied by diabetes-specific distress.

Evidence of the negative impact of depression on glycaemic control is equivocal, and diabetes-related distress has been proposed as potential mediator. 466 diabetes patients were cross-sectionally assessed for depression (Center for Epidemiologic Studies Depression Scale), diabetes-related distress (Diabetes Distress Scale), and glycaemic control (HbA1c). We distinguished the associations of depression and diabetes distress with glycaemic control using analysis of variance and multiple regression. Neither patients with depression only nor diabetes distress only differed significantly from controls regarding HbA1c. However, HbA1c was substantially increased when both conditions were present (9.2 vs. 8.6 %, P = 0.01). As in previous studies, we observed a significant association between depression and hyperglycaemia (P < 0.01). However, a mediation analysis revealed that this association in fact depended on the presence of diabetes distress (P < 0.01). Depression seems to be associated with hyperglycaemia particularly when accompanied by diabetes distress, suggesting that adjusting clinical procedures regarding diabetes distress may facilitate the identification and care of high-risk patients.

Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD.

Family studies suggest a genetic component to the etiology of chronic kidney disease (CKD) and end stage renal disease (ESRD). Previously, we identified 16 loci for eGFR in genome-wide association studies, but the associations of these single nucleotide polymorphisms (SNPs) for incident CKD or ESRD are unknown. We thus investigated the association of these loci with incident CKD in 26,308 individuals of European ancestry free of CKD at baseline drawn from eight population-based cohorts followed for a median of 7.2 years (including 2,122 incident CKD cases defined as eGFR <60ml/min/1.73m(2) at follow-up) and with ESRD in four case-control studies in subjects of European ancestry (3,775 cases, 4,577 controls). SNPs at 11 of the 16 loci (UMOD, PRKAG2, ANXA9, DAB2, SHROOM3, DACH1, STC1, SLC34A1, ALMS1/NAT8, UBE2Q2, and GCKR) were associated with incident CKD; p-values ranged from p = 4.1e-9 in UMOD to p = 0.03 in GCKR. After adjusting for baseline eGFR, six of these loci remained significantly associated with incident CKD (UMOD, PRKAG2, ANXA9, DAB2, DACH1, and STC1). SNPs in UMOD (OR = 0.92, p = 0.04) and GCKR (OR = 0.93, p = 0.03) were nominally associated with ESRD. In summary, the majority of eGFR-related loci are either associated or show a strong trend towards association with incident CKD, but have modest associations with ESRD in individuals of European descent. Additional work is required to characterize the association of genetic determinants of CKD and ESRD at different stages of disease progression.

More Frequent Use of Glucose Alarms Is Associated with Continuous Glucose Monitoring-Specific Diabetes Education: Findings from the Dia·Link Diabetes Panel.

The associations of continuous glucose monitoring (CGM)-specific diabetes education with real-world utilization of glucose alerts and alarms were assessed in current CGM-users with type 1 or type 2 diabetes. A cross-sectional online survey was conducted in Germany assessing utilization (use and responses) of different alerts and alarms. Ordinal logistic regression analyses were conducted to analyze associations between utilization and participation in CGM-specific education. Data from 453 participants were analyzed (86.2% type 1 diabetes). Participants who received CGM-specific education were more likely to regularly use low-glucose alerts (odds ratio [OR] = 5.43, P < 0.001), low-glucose alarms (OR = 2.03, P = 0.027), and rate of change alerts (OR = 4.20, P = 0.009), and were more likely to immediately react to low-glucose alerts (OR = 5.23, P < 0.001) and rate of change alerts (OR = 3.75, P = 0.018). CGM-specific education has the potential to increase utilization of and response to alerts and alarms. This may help to implement more preventive elements regarding glucose management in everyday life.

Efficacy of a Digital Diabetes Logbook for People With Type 1, Type 2, and Gestational Diabetes: Results From a Multicenter, Open-Label, Parallel-Group, Randomized Controlled Trial.

BACKGROUND: In a randomized controlled trial, the efficacy of a digital diabetes diary regarding a reduction of diabetes distress was evaluated. METHODS: A randomized controlled trial with a 12-week follow-up was conducted in 41 study sites across Germany. Key eligibility criteria were a diagnosis of type 1, type 2, or gestational diabetes and regular self-monitoring of blood glucose. Participants were randomly assigned (2:1 ratio) to either use the digital diabetes logbook (mySugr PRO), or to the control group without app use. The primary outcome was the reduction in diabetes distress at the 12-week follow-up. All analyses were based on the intention-to-treat population with all randomized participants. The trial was registered at the German Register for Clinical Studies (DRKS00022923). RESULTS: Between February 11, 2021, and June 24, 2022, 424 participants (50% female, 50% male) were included, with 282 being randomized to the intervention group (66.5%) and 142 to the control group (33.5%). A total of 397 participants completed the trial (drop-out rate: 6.4%). The median reduction in diabetes distress was 2.41 (interquartile range [IQR]: -2.50 to 8.11) in the intervention group and 1.25 (IQR: -5.00 to 7.50) in the control group. The model-based adjusted between-group difference was significant (-2.20, IQR: -4.02 to -0.38, P = .0182) favoring the intervention group. There were 27 adverse events, 17 (6.0%) in the intervention group, and 10 (7.0%) in the control group. CONCLUSIONS: The efficacy of the digital diabetes logbook was demonstrated regarding improvements in mental health in people with type 1, type 2, and gestational diabetes.

The Diabetes Self-Management Questionnaire (DSMQ): development and evaluation of an instrument to assess diabetes self-care activities associated with glycaemic control.

BACKGROUND: Though several questionnaires on self-care and regimen adherence have been introduced, the evaluations do not always report consistent and substantial correlations with measures of glycaemic control. Small ability to explain variance in HbA1c constitutes a significant limitation of an instrument's use for scientific purposes as well as clinical practice. In order to assess self-care activities which can predict glycaemic control, the Diabetes Self-Management Questionnaire (DSMQ) was designed. METHODS: A 16 item questionnaire to assess self-care activities associated with glycaemic control was developed, based on theoretical considerations and a process of empirical improvements. Four subscales, 'Glucose Management' (GM), 'Dietary Control' (DC), 'Physical Activity' (PA), and 'Health-Care Use' (HU), as well as a 'Sum Scale' (SS) as a global measure of self-care were derived. To evaluate its psychometric quality, 261 patients with type 1 or 2 diabetes were assessed with the DSMQ and an established analogous scale, the Summary of Diabetes Self-Care Activities Measure (SDSCA). The DSMQ's item and scale characteristics as well as factorial and convergent validity were analysed, and its convergence with HbA1c was compared to the SDSCA. RESULTS: The items showed appropriate characteristics (mean item-total-correlation: 0.46 ± 0.12; mean correlation with HbA1c: -0.23 ± 0.09). Overall internal consistency (Cronbach's alpha) was good (0.84), consistencies of the subscales were acceptable (GM: 0.77; DC: 0.77; PA: 0.76; HU: 0.60). Principal component analysis indicated a four factor structure and confirmed the designed scale structure. Confirmatory factor analysis indicated appropriate fit of the four factor model. The DSMQ scales showed significant convergent correlations with their parallel SDSCA scales (GM: 0.57; DC: 0.52; PA: 0.58; HU: n/a; SS: 0.57) and HbA1c (GM: -0.39; DC: -0.30; PA: -0.15; HU: -0.22; SS: -0.40). All correlations with HbA1c were significantly stronger than those obtained with the SDSCA. CONCLUSIONS: This study provides preliminary evidence that the DSMQ is a reliable and valid instrument and enables an efficient assessment of self-care behaviours associated with glycaemic control. The questionnaire should be valuable for scientific analyses as well as clinical use in both type 1 and type 2 diabetes patients.

Internet-based cognitive behaviour therapy for tinnitus patients delivered in a regular clinical setting: outcome and analysis of treatment dropout.

Cognitive behaviour therapy (CBT) can reduce tinnitus distress but is not available for most patients. Therapist guided, internet-based CBT (ICBT) increase availability and has been shown to be effective. However, the initial positive results need to be replicated in larger samples, and treatment dropout has not been thoroughly studied. Moreover, it has not been evaluated if a low-intensity version of ICBT without therapist contact could be an alternative for patients who do not need or are able to manage the full ICBT-program. This study evaluated two parallel interventions delivered in regular care: ICBT for tinnitus distress (n = 293) and a low-intensity version of ICBT (n = 81) for patients with lower levels of tinnitus distress. We also explored predictors of dropout from ICBT and if dropout influences outcome. Tinnitus Reaction Questionnaire (Wilson, Henry, Bowen, & Haralambous, 1991) was used as the primary outcome. Secondary outcomes were measures of depression, anxiety, sleep, and sound sensitivity. Significant reductions following ICBT were found on all measures after treatment and also at a three-month follow-up. Patients receiving low-intensity ICBT showed a significant reduction in distress, even when they had low levels of distress initially. Treatment dropout was preceded by an increase in days spent at each treatment step but not by an increased distress. Early dropout was related to worse outcome. ICBT can be used in a regular clinical setting to reduce tinnitus distress. Early dropouts may need additional management. For help-seeking patients with lower distress, a low-intensity version of ICBT can be used.

Counting the Minutes: Perceived Diabetes Mental Load and its Associations With Technology Use and Mental Disorders.

Little is known about mental load in people with diabetes and associations with demographic, clinical, and treatment characteristics, such as the use of diabetes technologies. To explore perceived mental load, 503 adults with diabetes answered the one-item survey "How much time (in minutes) would you spontaneously estimate that you spend each day thinking about your diabetes?" Mental load estimations varied widely within the sample and between subgroups. Perceived mental load was higher in type 1 diabetes than in type 2 diabetes, higher in women than in men and increased with treatment intensity (ie, insulin therapy, technology use) and the number of mental disorders. Further research may explore associations with diabetes-related distress and determine whether (perceived) mental load has relevance in technology use.

Assessing Barriers and Adherence to Insulin Injection Technique in People With Diabetes: Development and Validation of New Assessment Tools.

BACKGROUND: The correct injection technique is crucial for people with insulin therapy. However, barriers to insulin injections exist, which can lead to problems with injections. In addition, injection behavior may deviate from recommendations leading to lower adherence to the correct injection technique. We developed two scales to assess barriers and adherence to the correct technique. METHODS: Two item pools were created to assess barriers to insulin injections (barriers scale) and adherence to the correct technique (adherence scale). In an evaluation study, participants completed the two newly created scales, as well as other questionnaires used for criterion validity. Exploratory factor analysis, correlational analysis, and receiver operating characteristics analysis were computed to analyze the validity of the scales. RESULTS: A total of 313 people with type 1 and type 2 diabetes using an insulin pen for insulin injections participated. For the barriers scale, 12 items were selected achieving a reliability of 0.74. The factor analysis revealed three factors namely emotional, cognitive, and behavioral barriers. For the adherence scale, nine items were selected achieving a reliability of 0.78. Both scales showed significant associations with diabetes self-management, diabetes distress, diabetes acceptance, and diabetes empowerment. Receiver operating characteristics analysis showed significant area under the curves for both scales in classifying people with current skin irritations. CONCLUSIONS: Reliability and validity of the two scales assessing barriers and adherence to insulin injection technique were demonstrated. The two scales can be used in clinical practice to identify persons in need of education in insulin injection technique.

Use of smartphone application versus written titration charts for basal insulin titration in adults with type 2 diabetes and suboptimal glycaemic control (My Dose Coach): multicentre, open-label, parallel, randomised controlled trial.

Background: The majority of people with type 2 diabetes who require insulin therapy use only basal insulin in combination with other anti-diabetic agents. We tested whether using a smartphone application to titrate insulin could improve glycaemic control in people with type 2 diabetes who use basal insulin. Methods: This was a 12-week, multicentre, open-label, parallel, randomised controlled trial conducted in 36 diabetes practices in Germany. Eligible participants had type 2 diabetes, a BMI ≥25.0 kg/m2, were on basal insulin therapy or were initiating basal insulin therapy, and had suboptimal glycaemic control (HbA1c >7.5%; 58.5 mmol/mol). Block randomisation with 1:1 allocation was performed centrally. Participants in the intervention group titrated their basal insulin dose using a smartphone application (My Dose Coach) for 12 weeks. Control group participants titrated their basal insulin dose according to a written titration chart. The primary outcome was the baseline-adjusted change in HbA1c at 12 weeks. The intention-to-treat analysis included all randomised participants. Results: Between 13 July 2021 and 21 March 2022, 251 study participants were randomly assigned (control group: n = 123; intervention group: n = 128), and 236 completed the follow-up phase (control group: n = 119; intervention group: n = 117). Regarding the HbA1c a model-based adjusted between-group difference of -0.31% (95% CI: 0.01%-0.69%; p = 0.0388) in favour of the intervention group was observed. There were 30 adverse events reported: 16 in the control group, 14 in the intervention group. Of these, 15 adverse events were serious. No event was considered to be related to the investigational device. Interpretation: Study results suggest that utilizing this digital health smartphone application for basal insulin titration may have resulted in a comparatively greater reduction in HbA1c levels among individuals with type 2 diabetes, as compared to basal insulin titration guided by a written titration schedule. No negative effect on safety outcomes was observed. Funding: Sanofi-Aventis Deutschland GmbH.

Treatment of rheumatoid arthritis with baricitinib or upadacitinib is associated with reduced scaffold protein NEDD9 levels in CD4+ T cells.

The JAK/STAT pathway plays a crucial role in the pathogenesis of rheumatoid arthritis (RA) and JAK inhibitors have emerged as a new group of effective drugs for RA treatment. Recently, high STAT3 levels have been associated with the upregulation of the scaffold protein NEDD9, which is a regulator of T-cell trafficking and promotes collagen-induced arthritis (CIA). In this study, we aimed to reveal how treatment with JAK inhibitors affects NEDD9 in CD4+ T cells from RA patients. We analyzed NEDD9 expression in CD4+ T cells from 50 patients treated with either baricitinib, tofacitinib, or upadacitinib and performed cell migration assays to assess the potential influence of JAK inhibitor treatment on CD4+ T-cell migration. We observed that treatment with baricitinib and upadacitinib is associated with reduced NEDD9 expression in CD4+ T cells. In contrast, NEDD9 levels were not altered during treatment with tofacitinib. Moreover, treatment with baricitinib was associated with a significantly reduced migratory capacity of effector CD4+ T cells but not with impaired migration of Treg cells. This study reveals previously unknown associations between JAK inhibitor treatment and NEDD9 expression and indicates that JAK inhibitors could reduce effector T-cell migration.

Blood pH Analysis in Combination with Molecular Medical Tools in Relation to COVID-19 Symptoms.

The global outbreak of SARS-CoV-2/COVID-19 provided the stage to accumulate an enormous biomedical data set and an opportunity as well as a challenge to test new concepts and strategies to combat the pandemic. New research and molecular medical protocols may be deployed in different scientific fields, e.g., glycobiology, nanopharmacology, or nanomedicine. We correlated clinical biomedical data derived from patients in intensive care units with structural biology and biophysical data from NMR and/or CAMM (computer-aided molecular modeling). Consequently, new diagnostic and therapeutic approaches against SARS-CoV-2 were evaluated. Specifically, we tested the suitability of incretin mimetics with one or two pH-sensitive amino acid residues as potential drugs to prevent or cure long-COVID symptoms. Blood pH values in correlation with temperature alterations in patient bodies were of clinical importance. The effects of biophysical parameters such as temperature and pH value variation in relation to physical-chemical membrane properties (e.g., glycosylation state, affinity of certain amino acid sequences to sialic acids as well as other carbohydrate residues and lipid structures) provided helpful hints in identifying a potential Achilles heel against long COVID. In silico CAMM methods and in vitro NMR experiments (including 31P NMR measurements) were applied to analyze the structural behavior of incretin mimetics and SARS-CoV fusion peptides interacting with dodecylphosphocholine (DPC) micelles. These supramolecular complexes were analyzed under physiological conditions by 1H and 31P NMR techniques. We were able to observe characteristic interaction states of incretin mimetics, SARS-CoV fusion peptides and DPC membranes. Novel interaction profiles (indicated, e.g., by 31P NMR signal splitting) were detected. Furthermore, we evaluated GM1 gangliosides and sialic acid-coated silica nanoparticles in complex with DPC micelles in order to create a simple virus host cell membrane model. This is a first step in exploring the structure-function relationship between the SARS-CoV-2 spike protein and incretin mimetics with conserved pH-sensitive histidine residues in their carbohydrate recognition domains as found in galectins. The applied methods were effective in identifying peptide sequences as well as certain carbohydrate moieties with the potential to protect the blood-brain barrier (BBB). These clinically relevant observations on low blood pH values in fatal COVID-19 cases open routes for new therapeutic approaches, especially against long-COVID symptoms.

Initial combination of linagliptin and metformin improves glycaemic control in type 2 diabetes: a randomized, double-blind, placebo-controlled study.

AIMS: To evaluate the efficacy and safety of initial combination therapy with linagliptin plus metformin versus linagliptin or metformin monotherapy in patients with type 2 diabetes. METHODS: In this 24-week, double-blind, placebo-controlled, Phase III trial, 791 patients were randomized to one of six treatment arms. Two free combination therapy arms received linagliptin 2.5 mg twice daily (bid) + either low (500 mg) or high (1000 mg) dose metformin bid. Four monotherapy arms received linagliptin 5 mg once daily, metformin 500 mg or 1000 mg bid or placebo. Patients with haemoglobin A1c (HbA1c) ≥11.0% were not eligible for randomization and received open-label linagliptin + high-dose metformin. RESULTS: The placebo-corrected mean (95% confidence interval) change in HbA1c from baseline (8.7%) to week 24 was -1.7% (-2.0, -1.4) for linagliptin + high-dose metformin, -1.3% (-1.6, -1.1) for linagliptin + low-dose metformin, -1.2% (-1.5, -0.9) for high-dose metformin, -0.8% (-1.0, -0.5) for low-dose metformin and -0.6 (-0.9, -0.3) for linagliptin (all p < 0.0001). In the open-label arm, the mean change in HbA1c from baseline (11.8%) was -3.7%. Hypoglycaemia occurred at a similar low rate with linagliptin + metformin (1.7%) as with metformin alone (2.4%). Adverse event rates were comparable across treatment arms. No clinically significant changes in body weight were noted. CONCLUSIONS: Initial combination therapy with linagliptin plus metformin was superior to metformin monotherapy in improving glycaemic control, with a similar safety and tolerability profile, no weight gain and a low risk of hypoglycaemia.