Skip to main content
Erschienen in: BMC Cardiovascular Disorders 1/2024

Open Access 01.12.2024 | Research

Circulating sphingolipids and relationship to cardiac remodelling before and following a low-energy diet in asymptomatic Type 2 Diabetes

verfasst von: Emer M. Brady, Thong H. Cao, Alastair J. Moss, Lavanya Athithan, Sarah L. Ayton, Emma Redman, Stavroula Argyridou, Matthew P. M. Graham-Brown, Colleen B. Maxwell, Donald J. L. Jones, Leong Ng, Thomas Yates, Melanie J Davies, Gerry P. McCann, Gaurav S. Gulsin

Erschienen in: BMC Cardiovascular Disorders | Ausgabe 1/2024

Abstract

Background

Heart failure with preserved ejection fraction (HFpEF) is a heterogenous multi-system syndrome with limited efficacious treatment options. The prevalence of Type 2 diabetes (T2D) continues to rise and predisposes patients to HFpEF, and HFpEF remains one of the biggest challenges in cardiovascular medicine today. Novel therapeutic targets are required to meet this important clinical need. Deep phenotyping studies including -OMIC analyses can provide important pathogenic information to aid the identification of such targets. The aims of this study were to determine; 1) the impact of a low-energy diet on plasma sphingolipid/ceramide profiles in people with T2D compared to healthy controls and, 2) if the change in sphingolipid/ceramide profile is associated with reverse cardiovascular remodelling.

Methods

Post-hoc analysis of a randomised controlled trial (NCT02590822) including adults with T2D with no cardiovascular disease who completed a 12-week low-energy (∼810 kcal/day) meal-replacement plan (MRP) and matched healthy controls (HC). Echocardiography, cardiac MRI and a fasting blood for lipidomics were undertaken pre/post-intervention. Candidate biomarkers were identified from case–control comparison (fold change > 1.5 and statistical significance p < 0.05) and their response to the MRP reported. Association between change in biomarkers and change indices of cardiac remodelling were explored.

Results

Twenty-four people with T2D (15 males, age 51.1 ± 5.7 years), and 25 HC (15 male, 48.3 ± 6.6 years) were included. Subjects with T2D had increased left ventricular (LV) mass:volume ratio (0.84 ± 0.13 vs. 0.70 ± 0.08, p < 0.001), increased systolic function but impaired diastolic function compared to HC. Twelve long-chain polyunsaturated sphingolipids, including four ceramides, were downregulated in subjects with T2D at baseline. Three sphingomyelin species and all ceramides were inversely associated with LV mass:volume. There was a significant increase in all species and shift towards HC following the MRP, however, none of these changes were associated with reverse cardiac remodelling.

Conclusion

The lack of association between change in sphingolipids/ceramides and reverse cardiac remodelling following the MRP casts doubt on a causative role of sphingolipids/ceramides in the progression of heart failure in T2D.

Trial registration

NCT02590822.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12872-023-03623-y.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Background

Type 2 diabetes (T2D) is recognised as one of the most important risk factors for heart failure (HF) [1]. Indeed, the recent universal guidelines for definition of HF has classified all people with T2D as Stage A “at risk” of HF and those with asymptomatic cardiac structural and/or functional alterations as Stage B HF [2]. People with T2D have a propensity for HF with preserved ejection fraction (HFpEF) [3], a heterogeneous clinical syndrome [4], which remains one of the biggest challenges in cardiovascular medicine, given the limited efficacious treatment options. Novel therapeutic targets are required to meet this important clinical need. Deep phenotyping studies including -OMIC analyses can provide information on the underpinning pathogenic mechanisms early in a disease course, track response to intervention and thus aid the identification of such targets [5] .
Dysregulated lipid pathways within cardiomyocytes are considered a potential pathogenic process in the development of HFpEF in the context of T2D [6]. Moreover, complex sphingolipids, and more specifically, dysregulation of ceramide and sphingolipid metabolism are thought to have a cardiotoxic role in the pathogenesis of HF [710]. In a small subset of the Alberta Heart study, circulating levels of 14 species of sphingomyelins in people with symptomatic HFpEF (10/24 with T2D) were lower than controls without HF. Further, logistic regression analysis showed that sphingomyelin (C20:2) could discriminate between those with HFpEF and the non-HF controls [11]. Whether or not such signals can be identified in earlier stages of HF and the response to lifestyle intervention are unknown.
We have recently demonstrated, in participants randomised to a 12-week nutritionally complete low-energy (810kCal/day) meal replacement plan (MRP), not only did 80% acheive a normoglycaemic range but there was evidence of beneficial cardiovascular reverse remodelling [12, 13]. This cohort of participants with T2D, and Stage A/B HF, provides an opportunity to explore lipidomic signals and potential underlying pathogenic mechanisms in early HF.
The aims of this post-hoc discovery study were to determine if; 1) following an MRP the ceramide/sphingolipid profile harmonises with a healthy profile, and if 2) the change in ceramide/sphingolipid profile is associated with reverse cardiovascular remodelling.

Methods

This is a discovery metabolomics pilot study of the Diabetes Interventional Assessment of Slimming or Training tO Lessen Inconspicuous Cardiovascular Dysfunction (DIASTOLIC) trial. [12] DIASTOLIC was a prospective, randomised, open-label, blinded end-point trial with published protocol and main outcomes paper [12, 14]. For this post-hoc analysis, only those randomised to and completing the MRP were included, in addition to age-, sex- and ethnicity-matched healthy controls for baseline comparison. Participants receiving the MRP were adults (18–65yrs) with established T2D (≥ 3 months) and obesity without prevalent cardiovascular disease (CVD). The study received ethical approval by the United Kingdom National Research Ethics Service (15/WM/0222) and is registered with www.​clinicaltrials.​gov (NCT02590822). Consort diagram for the trial for this analysis is shown in Fig. 1.

Demographics, anthropometrics and biochemistry

Demographics, medical history, and anthropometric measures were collected as described previously [14]. Fasting blood samples were obtained and the residual supernatant plasma stored at -80˚C prior to batch analysis. HbA1c, glucose, liver, kidney function and lipid profile were analysed according to standard operating procedures in the accredited pathology laboratory at University Hospitals Leicester NHS Trust. Insulin was quantified by multiplex assay on a Luminex platform, as previously described [14].

Cardiovascular MRI

MRI scans were conducted on a 1.5T platform (MAGNETOM Aera; Siemens, Erlangen, Germany) as previously described [14]. Images were analysed offline blinded to treatment group. The MRI outcomes of interest (supplementary material: Cardiac MRI outcome measures) were selected to permit investigation of cardiovascular structure and function.

Transthoracic echocardiography

Echocardiography was performed and interpreted by one of two accredited operators using an iE33 system with S5-1 transducer (Philips Medical Systems, Best, the Netherlands) to estimate Left Ventricular (LV) filling pressures (E/e').

Metabolomics platform

Metabolon (North Carolina, USA) performed the metabolomic profiling. Samples were prepared using the automated MicroLab STAR® system from Hamilton Company. Sample analysis utilized a Waters ACQUITY ultra-performance liquid chromatography (UPLC), and a Thermo Scientific Q-Exactive high resolution/accurate mass spectrometer, interfaced with a heated electrospray ionization (HESI-II) source and Orbitrap mass analyzer operated at 35,000 mass resolution.

Statistics

The distribution of the data were assessed for normality using histograms and Q-Q plots. Continuous data are reported as mean (± standard deviation (SD)) if normally distributed or median (interquartile range (IQR)) where not, categorical data reported as count (percentage). Demographic and standard clinical characteristics between the cases (T2D) and controls are described without testing for statistical significance given these were not specific aims being assessed. For measures of cardiovascular structure and function, between groups were tested using independent t-test and Mann–Whitney U as appropriate. The metabolomic data were restricted to lipid species to answer the specified a priori research questions. Principal component analyses (PCA) were conducted to determine if there were separation between the cases (T2D) and healthy controls (controls) at baseline, and between pre-, post-MRP in those with T2D based on the lipid profiles. The fold-change between cases and controls and between pre-, and post-MRP were calculated with adjustment for false discovery rate (FDR) of 0.05 and volcano plots generated. Candidate biomarkers were classified as lipids with FDR adjusted fold change > 1.5 (between case–control) with statistical significance p < 0.05. Any biomarkers with a conflict in fold-change between the two comparisons were removed. The lipids were then further restricted to sphingolipid/ceramide species because these were the lipids of interest for this pilot study. The circulating plasma levels of the candidate biomarkers post-intervention were then investigated to determine their response to the MRP. Box plots were produced to visualise the concentration (signal intensity) of candidate biomarkers pre-, post-MRP and for healthy controls. Pearson’s or Spearman’s rank correlations were used (as appropriate) to examine relationships between plasma levels of candidate biomarkers and Left Ventricular mass:volume ratio, global longitudinal strain, global circumferential strain, longitudinal peak early diastolic strain rate, circumferential peak early diastolic strain rate, myocardial perfusion reserve and diastolic function (average E/e’). Univariate linear regression was employed to explore if the change in candidate sphingolipid/ceramide species were associated with change in the same measures of cardiovascular structure and function and significant univariate associations were then adjusted for baseline value.
Data were analysed using IBM SPSS Statistics for Windows, Version 26.0 and RStudio version 1.4. SIMCA version 14 (MSK Umetrics, Sweden) was used to perform PCA plots.

Results

Case–control analysis

Twenty-nine asymptomatic T2D participants (cases) were randomised to the MRP group with 24 completing the study with metabolomics data. Twenty-five matched controls (age, sex and ethnicity) were selected for metabolomics analysis (Fig. 1). The baseline characteristics by group are provided in Table 1. At baseline, as expected, cases had higher body weight, blood pressure, HbA1c and insulin resistance with over half having hypertension and high cholesterol compared to none in the healthy group. Diabetes medication included one person with diet and lifestyle only (4%), 18 (75%) on monotherapy, three (13%) on dual therapy and two (8%) on triple therapy. No patients were taking insulin and only one and two were on Glucagon Like Peptide-1-Receptor agonists or Sodium-Glucose co-transporter 2 inhibitors, respectively. None of the healthy controls were taking any medications.
Table 1
Characteristics table (cases and control)
Variable
Cases (T2D) N = 24
Controls (healthy) N = 25
 
Clinical characteristics
 Age (years)
51.1 ± 5.7
48.3 ± 6.6
 
 Sex (M (%))
15 (63)
15 (60)
 Ethnicity (WE (%))
15 (63)
17 (68)
 Weight (kg)
106.7 ± 16.2
69.9 ± 11.4
 BMI (kg/m2)
37.4 ± 5.9
24.3 ± 2.5
 Systolic BP (mmHg)
145.9 ± 15.9
118.4 ± 10.7
 Diastolic BP (mmHg)
91.1 ± 7.4
76.2 ± 6.0
 Heart rate (bpm)
73.1 ± 8.6
61.8 ± 9.3
 HbA1c (%)
7.2 ± 1.1
5.4 ± 0.2
 HbA1c (mmol/mol)
54.8 ± 11.9
35.6 ± 2.6
 HOMAR-IR
12.2 ± 8.2
2.0 ± 1.9
Medical history
 Duration diabetes (m)
58.3 ± 39.8
-
 
 Smoking history (yes)
10 (41)
7 (28)
 Hypertension (n (%))
15 (63)
0 (0)
 Hypercholesterolemia (n (%))
16 (67)
0 (0)
Cardiovascular Imaging
  
P value
 LV Massi (g/m2)
58.2 ± 9.8
57.8 ± 13.1
0.902
 LV EDVi (mL/m2)
69.9 ± 11.3
82.9 ± 18.0
0.004
 LV mass:volume (g/mL)
0.84 ± 0.13
0.70 ± 0.08
< 0.001
 LV EF (%)
70.0 ± 7.4
64.7 ± 4.9
0.005
 LV GLS (%)
16.6 ± 2.8
17.6 ± 1.5
0.108
 LV GCS (%)
21.0 ± 2.3
19.6 ± 2.0
0.029
 LV LongPEDSR (s-1)
0.79 ± 0.15
0.89 ± 0.16
0.021
 LV CircPEDSR (s-1)
1.00 ± 0.20
1.10 ± 0.16
0.060
 LAVImax (mL/ m2)*
30.4 (10.4)
50.6 (16.8)
< 0.001
 LA EF (%)
55.0 ± 7.7
59.1 ± 7.8
0.075
 Mean Ao Distens (mmHg−1 × 10–3)
3.7 ± 1.9
6.9 ± 2.0
< 0.001
 MPR
3.0 ± 1.0
4.2 ± 1.0
< 0.001
 Average E/e'*
9.4 (4.5)
5.9 (2.6)
< 0.001
Data are reported as mean ± standard deviation, count (percent) or median (interquartile range). Bold font highlights statistically significant difference with significance level of 95%
Abbreviations: BMI body mass index, LV EF Left ventricular ejection fraction, LV Massi Left Ventricular Mass Indexed for body surface area, mass:volume mass to volume ratio, LV EDVi Left Ventricular End Diastolic Volume indexed for height, GLS global longitudinal strain, LongPEDSR Longitudinal Peak Early Diastolic Strain Rate, CircPEDSR Circumferential Peak Early Diastolic Strain Rate, GCS global circumferential strain, LAVImax Left atrial maximum volume indexed for body surface area, Mean Ao Distens Mean aortic distensibility, MPR Myocardial perfusion reserve
There was evidence of cardiovascular remodelling in those with T2D who had significantly lower left ventricular volume, higher mass:volume ratio with higher ejection fraction and global strain but worse diastolic function (LV filling pressures (E/é) and peak early diastolic strain rate). In addition, there was decreased aortic distensibility and lower myocardial perfusion reserve in T2D compared to the controls.

Lipids

The metabolon platform returned 339 lipids species, of which 110 were significantly different between cases and controls (Fig. 2a); 78 were significantly downregulated and 32 significantly upregulated in cases versus controls. There was good separation in discriminating between the groups based on these lipid species (Fig. 2b) of which a total of forty-four had a fold-changes > 1.5 meeting statistical significance adjusted for FDR of 0.05 (Fig. 2a: red-points only).

Pre-post MRP

Twenty-four cases completed the MRP intervention and had plasma for metabolomic analysis. There were significant cardio-metabolic improvements including weight loss (13.6kg), reduced blood pressure (13mmHg systolic), reduced arterial stiffness, reduced concentric remodelling, decreased insulin resistance and fasting glucose (-1.9mmol), with 20 (83%) participants in this group achieving normoglycaemia by 12 weeks (Supplemental material Table S1), as previously reported [12].
Of the 110 candidate biomarkers identified in the case–control comparison, 25 were significantly different following the 12-week MRP. Following removal of conflicts in fold-change between the comparisons a final 23 candidate biomarkers were identified (Table 2). Restricting analyses to these 23 candidate biomarkers there is a good separation between pre-, post-MRP (Fig. 3; Green and blue dots only) and evidence of a shift towards the healthy volunteers following the MRP (Fig. 3; Green, blue and red dots). We then further restricted the analysis to the sphingolipids and ceramides species (Table 2), given the focus of these analysis. All 12 species contain one long chain (> 16 Carbon atoms) unsaturated (≥ 1 double bond) fatty acid. The aforementioned shift towards healthy levels is observed in all the 12 species as demonstrated in box-plots in Fig. 4a and b. All 12 of these candidate biomarkers were significantly lower at baseline and increased to near ‘normal’ levels following the 12-week MRP.
Table 2
List of 23 lipid candidate biomarkers with significant fold-change > 1.5 following the 12-week MRP
No
BIOCHEMICAL
COMP ID
Sub-family
Fold Change
Direction Δ from BL
Adjusted P value (FDR = 0.05)
1
nisinate (24:6n3)
57810
Long Chain Polyunsaturated Fatty Acid (n3 and n6)
-2.08
0.005
2
1-(1-enyl-palmitoyl)-2-linoleoyl-GPC (P-16:0/18:2)
52682
Plasmalogen
0.81
0.002
3
1-(1-enyl-palmitoyl)-2-oleoyl-GPC (P-16:0/18:1)
52478
Plasmalogen
0.71
< 0.001
4
1-(1-enyl-palmitoyl)-2-palmitoleoyl-GPC (P-16:0/16:1)
52713
Plasmalogen
0.77
< 0.001
5
1-(1-enyl-palmitoyl)-2-palmitoyl-GPC (P-16:0/16:0)
52716
Plasmalogen
0.80
0.003
6
1-(1-enyl-palmitoyl)-GPC (P-16:0)
52474
Lysoplasmalogen
0.64
0.004
7
1-palmitoyl-2-oleoyl-GPE (16:0/18:1)
19263
Phosphatidylethanolamine (PE)
-1.55
0.003
8
1-stearoyl-2-oleoyl-GPE (18:0/18:1)
42448
Phosphatidylethanolamine (PE)
-1.88
0.001
9
butyrylcarnitine (C4)
32412
Fatty Acid Metabolism
-1.39
0.005
10
dihomo-linoleoylcarnitine (C20:2)
57520
Fatty Acid Metabolism (Acyl Carnitine, Polyunsaturated)
0.72
0.003
11
eicosenoylcarnitine (C20:1)
57519
Fatty Acid Metabolism (Acyl Carnitine, Monounsaturated)
0.69
0.002
12
hydroxypalmitoyl sphingomyelin (d18:1/16:0(OH))
62851
Sphingomyelins
0.85
0.004
13
sphingomyelin (d18:1/20:2, d18:2/20:1, d16:1/22:2)
57481
Sphingomyelins
0.70
0.001
14
sphingomyelin (d18:1/22:2, d18:2/22:1, d16:1/24:2)
57477
Sphingomyelins
0.80
0.002
15
sphingomyelin (d18:2/16:0, d18:1/16:1)
42459
Sphingomyelins
0.89
0.004
16
sphingomyelin (d18:2/18:1)
57474
Sphingomyelins
0.83
0.004
17
sphingomyelin (d18:2/23:1)
57482
Sphingomyelins
0.85
0.007
18
sphingomyelin (d18:2/24:1, d18:1/24:2)
52437
Sphingomyelins
0.80
< 0.001
19
sphingomyelin (d18:2/24:2)
57479
Sphingomyelins
0.73
< 0.001
20
glycosyl ceramide (d18:2/24:1, d18:1/24:2)
57453
Hexosylceramides (HCER)
0.71
0.001
21
glycosyl-N-nervonoyl-sphingosine (d18:1/24:1)
57369
Hexosylceramides (HCER)
0.72
< 0.001
22
lactosyl-N-nervonoyl-sphingosine (d18:1/24:1)
57370
Lactosylceramides (LCER)
0.76
0.001
23
lactosyl-N-palmitoyl-sphingosine (d18:1/16:0)
53010
Lactosylceramides (LCER)
0.76
< 0.001
Lipids with statistically significant fold-change pre- to post-MRP (calculated as baseline/week 12)

Cardiac remodelling and candidate biomarkers

In the baseline correlation analysis, for the pooled subjects (n = 49), three candidate sphingolipids and the four ceramide species were inversely correlated with LV mass: volume ratio (Table 3). Four sphingolipids and one ceramide were positively correlated to longitudinal PEDSR. In addition to these species a further three sphingolipids (total of seven) and the same ceramide species were also positively correlated to circumferential PEDSR. Finally, the ceramide, lactosyl-N-palmitoyl-sphingosine, was positively correlated with MPR and negatively correlated with LV filling pressure (E/e’).
Table 3
Baseline correlations between sphingolipids and ceramides and key measures of cardiac structure and function
Biomarker
LV m:v
GLS
GCS
LongPEDSR
CircPEDSR
MPR
E/e’
Sphingomyelin species
 Hydroxypalmitoyl sphingomyelin (d18:1/16:0(OH))
-0.348a
0.117
0.042
0.226
0.463b
0.105
-0.207
 Sphingomyelin (d18:2/16:0, d18:1/16:1)
-0.320a
0.123
-0.032
0.279
0.325a
0.033
0.330
 Sphingomyelin (d18:2/24:1, d18:1/24:2)
-0.384b
0.211
-0.185
0.336a
0.408b
0.263
-0.198
 Sphingomyelin (d18:1/22:2, d18:2/22:1, d16:1/24:2)
-0.177
0.201
0.032
0.368b
0.423b
0.037
0.084
 Sphingomyelin (d18:1/20:2, d18:2/20:1, d16:1/22:2)
-0.178
0.090
-0.048
0.249
0.361a
-0.047
0.063
 Sphingomyelin (d18:2/18:1)
-0.188
0.057
-0.088
0.233
0.236
0.040
0.001
 Sphingomyelin (d18:2/23:1)
-0.138
0.207
-0.032
0.384b
0.378b
0.122
0.089
 Sphingomyelin (d18:2/24:2)
-0.264
0.216
-0.003
0.374b
0.419b
-0.037
0.020
Ceramide species
 Glycosyl ceramide (d18:2/24:1, d18:1/24:2)
-0.388b
0.139
-0.137
0.344b
0.340a
0.212
-0.165
 Glycosyl-N-nervonoyl-sphingosine (d18:1/24:1)+
-0.395b
0.063
-0.167
0.260
0.124
0.186
-0.058
 Lactosyl-N-nervonoyl-sphingosine (d18:1/24:1)
-0.473b
0.079
-0.244
0.129
0.102
0.268
-0.266
 Lactosyl-N-palmitoyl-sphingosine (d18:1/16:0)
-0.458b
-0.074
-0.226
-0.002
0.064
0.312a
-0.363a
Data reported are Spearmans Rank correlation co-efficient or +Pearsons correlation coefficient
Abbreviations: LV left ventricular, m:v mass to volume ratio, GLS global longitudinal strain, GCS global circumferential strain, LongPDESR longitudinal peak early diastolic function, Circ circumferental, MPR myocardial perfusion reserve, E/e’ diastolic function
aCorrelation is significant at the 0.05 level
bCorrelation is significant at the 0.01 level
The results of the univariate analysis are displayed in Table 4. There was no association between change in LV mass:volume ratio, change in circumferential PEDSR, change in MPR nor change in E/e’ and change in sphingolipid/ceramide species that were shown to be significantly correlated at baseline. However, there was an inverse relationship between change in two sphingolipids and change in longitudinal PEDSR (Table 4) which did not remain significant after adjustment for baseline values (β = -0.25 (95%CI: -0.50, -0.00), p = 0.05 and β = -0.16 (95%CI: -0.32, 0.01), p = 0.06 for Sphingomyelin (d18:2/16:0, d18:1/16:1) and Sphingomyelin (d18:2/24:2), respectively).
Table 4
Relationship between change in LV mass/LVmass:volume ratio and strain rates and change in sphingolipids and ceramides at 12-weeks post MRP
 
Β coefficient (95%CI)
p value
Β coefficient (95%CI)
p value
Β coefficient (95%CI)
p value
Β coefficient (95%CI)
p value
Β coefficient (95%CI)
p value
Δ Candidate Biomarker
Δ LV mass
Δ LongPEDSR
Δ CircPEDSR
Δ MPR
Δ E/e’
Sphingomyelin species
 Hydroxypalmitoyl sphingomyelin (d18:1/16:0(OH))
9.65 (-17.17, 36.46)
0.481
  
-0.04 (-0.39, 0.31)
0.820
    
 Sphingomyelin (d18:2/16:0, d18:1/16:1)
4.43(-30.90, 39.74)
0.806
-0.31 (-0.56, -0.07)
0.013*
-0.26 (-0.70, 0.19)
0.260
    
 Sphingomyelin (d18:2/24:1, d18:1/24:2)
7.51(-28.00, 43.02)
0.678
-0.23 (-0.49, 0.04)
0.098
-0.10 (-0.56, 0.36)
0.672
    
 Sphingomyelin (d18:1/22:2, d18:2/22:1, d16:1/24:2)
-7.25 (-29.94, 15.45)
0.531
-0.16 (-0.33, 0.00)
0.056
-0.20 (-0.48, 0.08)
0.164
    
 Sphingomyelin (d18:1/20:2, d18:2/20:1, d16:1/22:2)
-7.01 (-24.08, 10.07)
0.421
  
-0.11 (-0.33, 0.11)
0.326
    
 Sphingomyelin (d18:2/18:1)
-8.04(-30.59, 14.52)
0.485
        
 Sphingomyelin (d18:2/23:1)
-2.55(-27.39, 22.29)
0.841
  
0.70 (-0.25, 0.39)
0.669
    
 Sphingomyelin (d18:2/24:2)
-4.33(-26.50, 17.85)
0.702
-0.17 (-0.33, -0.01)
0.037*
-0.16 (-0.44, 0.12)
0.275
    
Ceramide species
 Glycosyl Ceramide (d18:2/24:1, d18:1/24:2)
-3.71 (-21.62, 14.19)
0.685
-0.12 (-0.25, 0.01)
0.081
0.15 (-0.07, 0.37)
0.189
    
 Glycosyl-N-nervonoyl-sphingosine (d18:1/24:1)
2.30 (-19.79, 24.39)
0.838
        
 Lactosyl-N-nervonoyl-sphingosine (d18:1/24:1)
4.05(-19.96, 28.06)
0.741
        
 Lactosyl-N-palmitoyl-sphingosine (d18:1/16:0)
2.42(-27.84, 32.68)
0.876
    
0.06 (-0.01, 0.13)
0.068
0.01 (-0.01, 0.03)
0.202
Abbreviations: CI Confidence Interval, Δ change, LV Left Ventricular, M:V mass to volume ratio, Long longitudinal, PEDSR Peak Early Diastolic Strain Rate, Circ Circumferential, MPR Myocardial Perfusion Reserve, E/e’ diastolic function
*P ≥ 0.05 following adjustment for baseline values

Discussion

In this pilot discovery study 12 lipid species were identified, eight sphingolipids and four ceramides, in the asymptomatic T2D cohort, that were down regulated at baseline and following a 12-week MRP increased towards healthy control levels. Of these 12 candidate lipids; there were negative correlations between seven and LV mass/volume ratio and one with LV E/e’ and positive correlations between five and longitudinal PEDSR, eight and circumferential PESDR and one with MPR. This data indicates that high levels of these long-chained unsaturated sphingolipid and ceramide species are associated with less concentric remodelling (lower LV mass:volume ratio), better myocardial microvascular function (higher MPR) and better diastolic function (higher PEDSR and lower E/e’). However, following the MRP the change in only two circulating plasma sphingolipids were associated with a change in diastolic strain rate, specifically a reduction in diastolic strain rate (lower longitudinal PESDR), but this did not remain significant when adjusting for baseline values. Collectively these data cast doubt on the putative causative role of these lipid molecules in the development of HFpEF.
There are many ceramide and sphingomyelin species, determined by the specifics of the fatty acids they carry and can be grouped into long and short chain species, which lends itself to the myriad of functions these lipids have. The sphingolipids, shown to be significantly reduced in our participants with T2D, are involved in numerous cellular processes that could be involved in the development of HFpEF in T2D including; cell cycle arrest, apoptosis, senescence and other stress responses [15]. This is in addition to a number of important biophysiological processes including; oxidative stress and inflammation [16], endothelial dysfunction [17], lipotoxicity [18], and insulin resistance [19] which may also play a role in the pathogenesis of HFpEF in T2D. Indeed, there has been an emergence of evidence linking these bioactive lipids to the development of chronic conditions such as T2D or HF [20, 21]. The majority of the evidence in humans is derived from large prospective studies with the associated risk thought to be determined by the composition of the fatty acid moiety. That is the length (number of carbons) and number of double bonds present in the fatty acid chains of the sphingolipid/ceramide species, specifically, longer chained saturated fatty acids are reportedly associated with lower risk [22]. Notably, each species identified in our study contained at least one long-chain fatty acid that was polyunsaturated.

Case–control

Our data show lower levels of circulating long-chain polyunsaturated ceramide and sphingolipid species in adults with asymptomatic T2D (Stage A/B HF) compared to healthy controls. The Cardiovascular Health Study (CHS) [21] reported that longer-chain sphingolipids (Cer-20 and -22, SM-20 and -22) are associated with a lower risk of HF even after adjustment for traditional risk factors and shorter chain species (Cer-16) irrespective of HF type. Previously, 24 HFpEF patients were compared with 38 aged matched controls without a history of heart failure from the Alberta HEART study [11]. In line with our findings they found 14 sphingomyelin species, of which 12 were longer chain and/or polyunsaturated (C16.1 to C26.0/1), to be down regulated in those with established HFpEF compared to controls. Cheng et al., have also reported significantly lower plasma levels of sphingomyelin (C20:2) in 73 Stage C HF vs. 51 controls [23]. This supports the baseline correlations we observed between higher circulating levels of the long-chain sphingolipid/ceramide species and less concentric remodelling (lower LV mass:volume ratio), better myocardial microvascular function (higher MPR) and better diastolic function (higher PEDSR and lower E/e’).
In a larger cohort of patients with HFpEF (n = 282) compared to non-HF controls (n = 191) from the CATHGEN biorepository [24], evidence of impaired or dysregulated fatty acid oxidation in HFpEF was reported. In their targeted mass spectrometry study, they quantified 63 metabolites (45 acylcarnitines and 15 amino acids) and reported long-chain acylcarnitine’s to be significantly higher in HFrEF than HFpEF, with levels increasing linearly with declining left ventricular ejection fraction [25]. The key functions of carnitine and its derivatives are to; 1) shuttle long-chain fatty acids across the mitochondrial membrane for energy generation via β-oxidation and, 2) to act as a scavenger by binding and eliminating acyl residues generated from amino-acid metabolism [26]. These results are contrary to our own for the three identified carnitine species. The conflicting results could be attributed to the difference in clinical characteristics between the cohorts studied with participants from the CATHGEN biorepository being older, greater white European representation and with overt HFpEF. Our data are suggestive of dysregulated fatty acid oxidation in asymptomatic T2D who fit the classification for Stage A/B HF compared to HC.

Cardiac remodelling and candidate biomarkers

We found moderate inverse correlations between four ceramide and three sphingomyelin species and CMR derived LV mass/volume ratio which may indicate involvement of these lipid species in cardiovascular remodelling in T2D. LV mass/volume ratio is a key measure of cardiac concentric remodelling, an important structural abnormality in the early stages of HF [2], and an adverse prognostic factor in HFpEF [27, 28]. There was evidence of concentric remodelling within our cohort of asymptomatic T2D (higher mass/volume ratio) [12].
Data from both animal and human models link sphingolipid accumulation in cardiomyocytes with cardiac hypertrophy [29]. However, plasma sphingolipids are reflective of systemic sphingolipid levels and not localised levels. Thus, from the data presented here it cannot be deduced what level or indeed the composition of sphingolipids that lie within the myocardium of this cohort. The high level of circulating long-chain polyunsaturated sphingolipids may be indicative of localised shorter chain saturated sphingolipids within the myocardium. This observed inverse relationship requires confirmation in larger cohorts in conjunction with a more comprehensive multivariable analysis.

Pre-, post-intervention

To our knowledge, this is the first study to demonstrate an increase in circulating sphingolipid and ceramide species following a low-energy diet, as part of a randomised controlled trial, in asymptomatic T2D fitting the classification of Stage A/B HF. Furthermore, the increase in levels appear to have moved towards HC levels as demonstrated by the reduced separation observed in the 3D-visulisation between HC and MRP post-intervention vs. baseline (PCA). Strikingly, the observed increase was significant across all the identified sphingolipid and ceramide species. However, we found no significant association between changes in circulating levels of these species and measures of cardiac structure and function therefore casting doubt on the putative causative role of these lipid molecules in the development of HFpEF. Perhaps it is the flux of the sphingolipid/ceramide species i.e.; the ratio of short:long chain species, that is important in the pathogenesis of HFpEF, which cannot be answered by these data, but warrants further exploration in larger longitudinal studies with targeted lipidomic analysis.

Strengths and limitations

The major strength and novelty of this study is that we utilised samples from participants in the DIASTOLIC randomised controlled trial, with well-balanced group allocation in addition to matched healthy controls at baseline. The metabolomic data analyses was conducted blinded to group allocation. To our knowledge this is the first metabolomic analysis of a lifestyle intervention in people with asymptomatic T2D with Stage A/B HF classification that includes detailed cardiovascular structural and functional phenotyping with the gold standard technique of CMR. However, we acknowledge the main limitation relates to this study being a post-hoc analysis with limited sample size and not including all groups of the RCT due to limited funding. Metabolomic studies are a “snap-shot” in time and cannot deduce the cause for the observed levels i.e.; a metabolite could be lower because of decreased production, higher degradation and /or uptake, or both. Furthermore, circulating levels may not reflect myocardial concentrations, which are incredibly difficult to obtain from asymptomatic individuals. The metabolites identified in this pilot study require verification in a larger, prospective, validation study.

Conclusion

Working aged adults with asymptomatic T2D and Stage A/B HF classification have impaired or dysregulated fatty-acid metabolism represented by reduced levels of long-chain-polyunsaturated sphingomyelin/ceramide species. However, no association between the changes in circulating levels of these species and reverse cardiac remodelling were observed. Whilst this may cast doubt on the putative causative role of these lipid species in the development of HFpEF in T2D, the reverse remodelling observed in this cohort was mild and our sample size was small, therefore we may not be sufficiently powered to detect such a relationship. The findings from this pilot work require confirmation in a larger, prospective external validation cohort with a targeted lipidomic approach.

Declarations

The study is registered with www.​clinicaltrials.​gov (NCT02590822) and has National Research Ethics Service (NRES) approval from the NRES Committee West Midlands – Coventry and Warwickshire (15/WM/0222). All participants provided informed consent prior to any data collection.
Not applicable.

Competing interests

The authors declare no competing interests.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Ceriello A, Catrinoiu D, Chandramouli C, Cosentino F, Dombrowsky AC, Itzhak B, et al. Heart failure in type 2 diabetes: current perspectives on screening, diagnosis and management. Cardiovasc Diabetol. 2021;20:218.CrossRefPubMedPubMedCentral Ceriello A, Catrinoiu D, Chandramouli C, Cosentino F, Dombrowsky AC, Itzhak B, et al. Heart failure in type 2 diabetes: current perspectives on screening, diagnosis and management. Cardiovasc Diabetol. 2021;20:218.CrossRefPubMedPubMedCentral
2.
Zurück zum Zitat Bozkurt B, Coats AJ, Tsutsui H, Abdelhamid M, Adamopoulos S, Albert N, et al. Universal definition and classification of heart failure: a report of the heart failure society of america, heart failure association of the european society of cardiology, japanese heart failure society and writing committee of the universal definition of heart failure. J Card Fail. 2021;23(3):352–80. Bozkurt B, Coats AJ, Tsutsui H, Abdelhamid M, Adamopoulos S, Albert N, et al. Universal definition and classification of heart failure: a report of the heart failure society of america, heart failure association of the european society of cardiology, japanese heart failure society and writing committee of the universal definition of heart failure. J Card Fail. 2021;23(3):352–80.
3.
Zurück zum Zitat McHugh K, DeVore AD, Wu J, Matsouaka RA, Fonarow GC, Heidenreich PA, et al. Heart failure with preserved ejection fraction and diabetes: JACC State-of-the-art review. J Am Coll Cardiol. 2019;73:602–11.CrossRefPubMed McHugh K, DeVore AD, Wu J, Matsouaka RA, Fonarow GC, Heidenreich PA, et al. Heart failure with preserved ejection fraction and diabetes: JACC State-of-the-art review. J Am Coll Cardiol. 2019;73:602–11.CrossRefPubMed
5.
Zurück zum Zitat Zhang H-W, Lv C, Zhang L-J, Guo X, Shen Y-W, Nagle DG, et al. Application of omics- and multi-omics-based techniques for natural product target discovery. Biomed Pharmacother. 2021;141:111833.CrossRefPubMed Zhang H-W, Lv C, Zhang L-J, Guo X, Shen Y-W, Nagle DG, et al. Application of omics- and multi-omics-based techniques for natural product target discovery. Biomed Pharmacother. 2021;141:111833.CrossRefPubMed
6.
Zurück zum Zitat Bayeva M, Sawicki KT, Ardehali H. Taking diabetes to heart—deregulation of myocardial lipid metabolism in diabetic cardiomyopathy. J Am Heart Assoc. 2013;2:e000433.CrossRefPubMedPubMedCentral Bayeva M, Sawicki KT, Ardehali H. Taking diabetes to heart—deregulation of myocardial lipid metabolism in diabetic cardiomyopathy. J Am Heart Assoc. 2013;2:e000433.CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat Ljubkovic M, Gressette M, Bulat C, Cavar M, Bakovic D, Fabijanic D, et al. Disturbed fatty acid oxidation, endoplasmic reticulum stress, and apoptosis in left ventricle of patients with Type 2 Diabetes. Diabetes. 2019;68:1924–33.CrossRefPubMed Ljubkovic M, Gressette M, Bulat C, Cavar M, Bakovic D, Fabijanic D, et al. Disturbed fatty acid oxidation, endoplasmic reticulum stress, and apoptosis in left ventricle of patients with Type 2 Diabetes. Diabetes. 2019;68:1924–33.CrossRefPubMed
10.
Zurück zum Zitat Park TS, Hu Y, Noh HL, Drosatos K, Okajima K, Buchanan J, et al. Ceramide is a cardiotoxin in lipotoxic cardiomyopathy. J Lipid Res. 2008;49:2101–12.CrossRefPubMedPubMedCentral Park TS, Hu Y, Noh HL, Drosatos K, Okajima K, Buchanan J, et al. Ceramide is a cardiotoxin in lipotoxic cardiomyopathy. J Lipid Res. 2008;49:2101–12.CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat Zordoky BN, Sung MM, Ezekowitz J. Metabolomic fingerprint of heart failure with preserved ejection fraction. PLOS ONE. 2015;10(5):e0124844. Zordoky BN, Sung MM, Ezekowitz J. Metabolomic fingerprint of heart failure with preserved ejection fraction. PLOS ONE. 2015;10(5):e0124844.
12.
Zurück zum Zitat Gulsin GS, Swarbrick DJ, Athithan L, Brady EM, Henson J, Baldry E, et al. Effects of low-energy diet or exercise on cardiovascular function in working-age adults with Type 2 Diabetes: a prospective, randomized, open-label. Blinded End Point Trial Diabetes Care. 2020;43:1300–10.CrossRefPubMed Gulsin GS, Swarbrick DJ, Athithan L, Brady EM, Henson J, Baldry E, et al. Effects of low-energy diet or exercise on cardiovascular function in working-age adults with Type 2 Diabetes: a prospective, randomized, open-label. Blinded End Point Trial Diabetes Care. 2020;43:1300–10.CrossRefPubMed
13.
Zurück zum Zitat Brady EM, Gulsin GS, Mirkes EM, Parke K, Kanagala P, Ng LL, et al. Fibro-inflammatory recovery and type 2 diabetes remission following a low calorie diet but not exercise training: a secondary analysis of the DIASTOLIC randomised controlled trial. Diabetic Med. 2022;39:e14884.CrossRefPubMed Brady EM, Gulsin GS, Mirkes EM, Parke K, Kanagala P, Ng LL, et al. Fibro-inflammatory recovery and type 2 diabetes remission following a low calorie diet but not exercise training: a secondary analysis of the DIASTOLIC randomised controlled trial. Diabetic Med. 2022;39:e14884.CrossRefPubMed
14.
Zurück zum Zitat Gulsin GS, Brady EM, Swarbrick DJ, Athithan L, Henson J, Baldry E, et al. Rationale, design and study protocol of the randomised controlled trial: Diabetes Interventional Assessment of Slimming or Training tO Lessen Inconspicuous Cardiovascular Dysfunction (the DIASTOLIC study). BMJ Open. 2019;9:e023207.CrossRefPubMedPubMedCentral Gulsin GS, Brady EM, Swarbrick DJ, Athithan L, Henson J, Baldry E, et al. Rationale, design and study protocol of the randomised controlled trial: Diabetes Interventional Assessment of Slimming or Training tO Lessen Inconspicuous Cardiovascular Dysfunction (the DIASTOLIC study). BMJ Open. 2019;9:e023207.CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat Kitatani K, Idkowiak-Baldys J, Hannun YA. The sphingolipid salvage pathway in ceramide metabolism and signaling. Cell Signal. 2008;20:1010–8.CrossRefPubMed Kitatani K, Idkowiak-Baldys J, Hannun YA. The sphingolipid salvage pathway in ceramide metabolism and signaling. Cell Signal. 2008;20:1010–8.CrossRefPubMed
16.
Zurück zum Zitat Nikolova-Karakashian MN, Reid MB. Sphingolipid metabolism, oxidant signaling, and contractile function of skeletal muscle. Antioxid Redox Signal. 2011;15:2501–17.CrossRefPubMedPubMedCentral Nikolova-Karakashian MN, Reid MB. Sphingolipid metabolism, oxidant signaling, and contractile function of skeletal muscle. Antioxid Redox Signal. 2011;15:2501–17.CrossRefPubMedPubMedCentral
17.
Zurück zum Zitat Jozefczuk E, Guzik TJ, Siedlinski M. Significance of sphingosine-1-phosphate in cardiovascular physiology and pathology. Pharmacol Res. 2020;156:104793.CrossRefPubMed Jozefczuk E, Guzik TJ, Siedlinski M. Significance of sphingosine-1-phosphate in cardiovascular physiology and pathology. Pharmacol Res. 2020;156:104793.CrossRefPubMed
18.
Zurück zum Zitat Bandet CL, Tan-Chen S, Bourron O, Le Stunff H, Hajduch E. Sphingolipid metabolism: new insight into ceramide-induced lipotoxicity in muscle cells. Int J Mol Sci. 2019;20(3):479. Bandet CL, Tan-Chen S, Bourron O, Le Stunff H, Hajduch E. Sphingolipid metabolism: new insight into ceramide-induced lipotoxicity in muscle cells. Int J Mol Sci. 2019;20(3):479.
19.
Zurück zum Zitat Sokolowska E, Blachnio-Zabielska A. The role of ceramides in insulin resistance. Front Endocrinol. 2019;10:577. Sokolowska E, Blachnio-Zabielska A. The role of ceramides in insulin resistance. Front Endocrinol. 2019;10:577.
20.
Zurück zum Zitat Morze J, Wittenbecher C, Schwingshackl L, Danielewicz A, Rynkiewicz A, Hu FB, et al. Metabolomics and Type 2 Diabetes risk: an updated systematic review and meta-analysis of prospective cohort studies. Diabetes Care. 2022;45:1013–24.CrossRefPubMedPubMedCentral Morze J, Wittenbecher C, Schwingshackl L, Danielewicz A, Rynkiewicz A, Hu FB, et al. Metabolomics and Type 2 Diabetes risk: an updated systematic review and meta-analysis of prospective cohort studies. Diabetes Care. 2022;45:1013–24.CrossRefPubMedPubMedCentral
21.
Zurück zum Zitat Lemaitre RN, Jensen PN, Hoofnagle A, McKnight B, Fretts AM, King IB, et al. Plasma ceramides and sphingomyelins in relation to heart failure risk. Circ Heart Fail. 2019;12:e005708.CrossRefPubMedPubMedCentral Lemaitre RN, Jensen PN, Hoofnagle A, McKnight B, Fretts AM, King IB, et al. Plasma ceramides and sphingomyelins in relation to heart failure risk. Circ Heart Fail. 2019;12:e005708.CrossRefPubMedPubMedCentral
22.
Zurück zum Zitat Chen GC, Chai JC, Yu B, Michelotti GA, Grove ML, Fretts AM, et al. Serum sphingolipids and incident diabetes in a US population with high diabetes burden: the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Am J Clin Nutr. 2020;112:57–65.CrossRefPubMedPubMedCentral Chen GC, Chai JC, Yu B, Michelotti GA, Grove ML, Fretts AM, et al. Serum sphingolipids and incident diabetes in a US population with high diabetes burden: the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Am J Clin Nutr. 2020;112:57–65.CrossRefPubMedPubMedCentral
23.
Zurück zum Zitat Cheng M-L, Wang C-H, Shiao M-S, Liu M-H, Huang Y-Y, Huang C-Y, et al. Metabolic disturbances identified in plasma are associated with outcomes in patients with heart failure. J Am Coll Cardiol. 2015;65:1509–20.CrossRefPubMed Cheng M-L, Wang C-H, Shiao M-S, Liu M-H, Huang Y-Y, Huang C-Y, et al. Metabolic disturbances identified in plasma are associated with outcomes in patients with heart failure. J Am Coll Cardiol. 2015;65:1509–20.CrossRefPubMed
24.
Zurück zum Zitat Kraus WE, Granger CB, Sketch MH, Donahue MP, Ginsburg GS, Hauser ER, et al. A Guide for a Cardiovascular Genomics Biorepository: the CATHGEN Experience. J Cardiovasc Transl Res. 2015;8:449–57.CrossRefPubMedPubMedCentral Kraus WE, Granger CB, Sketch MH, Donahue MP, Ginsburg GS, Hauser ER, et al. A Guide for a Cardiovascular Genomics Biorepository: the CATHGEN Experience. J Cardiovasc Transl Res. 2015;8:449–57.CrossRefPubMedPubMedCentral
25.
Zurück zum Zitat Hunter WG, Kelly JP, McGarrah RW 3rd, Khouri MG, Craig D, Haynes C, et al. Metabolomic Profiling Identifies Novel Circulating Biomarkers of Mitochondrial Dysfunction Differentially Elevated in Heart Failure With Preserved Versus Reduced Ejection Fraction: Evidence for Shared Metabolic Impairments in Clinical Heart Failure. J Am Heart Assoc. 2016;5(8):e003190.CrossRefPubMedPubMedCentral Hunter WG, Kelly JP, McGarrah RW 3rd, Khouri MG, Craig D, Haynes C, et al. Metabolomic Profiling Identifies Novel Circulating Biomarkers of Mitochondrial Dysfunction Differentially Elevated in Heart Failure With Preserved Versus Reduced Ejection Fraction: Evidence for Shared Metabolic Impairments in Clinical Heart Failure. J Am Heart Assoc. 2016;5(8):e003190.CrossRefPubMedPubMedCentral
27.
Zurück zum Zitat Garg P, Assadi H, Jones R, Chan WB, Metherall P, Thomas R, et al. Left ventricular fibrosis and hypertrophy are associated with mortality in heart failure with preserved ejection fraction. Sci Rep. 2021;11:617.CrossRefPubMedPubMedCentral Garg P, Assadi H, Jones R, Chan WB, Metherall P, Thomas R, et al. Left ventricular fibrosis and hypertrophy are associated with mortality in heart failure with preserved ejection fraction. Sci Rep. 2021;11:617.CrossRefPubMedPubMedCentral
28.
Zurück zum Zitat Gulsin GS, Kanagala P, Chan DCS, Cheng ASH, Athithan L, Graham-Brown MPM, et al. Differential left ventricular and left atrial remodelling in heart failure with preserved ejection fraction patients with and without diabetes. Ther Adv Endocrinol Metab. 2019;10:2042018819861593.CrossRefPubMedPubMedCentral Gulsin GS, Kanagala P, Chan DCS, Cheng ASH, Athithan L, Graham-Brown MPM, et al. Differential left ventricular and left atrial remodelling in heart failure with preserved ejection fraction patients with and without diabetes. Ther Adv Endocrinol Metab. 2019;10:2042018819861593.CrossRefPubMedPubMedCentral
29.
Metadaten
Titel
Circulating sphingolipids and relationship to cardiac remodelling before and following a low-energy diet in asymptomatic Type 2 Diabetes
verfasst von
Emer M. Brady
Thong H. Cao
Alastair J. Moss
Lavanya Athithan
Sarah L. Ayton
Emma Redman
Stavroula Argyridou
Matthew P. M. Graham-Brown
Colleen B. Maxwell
Donald J. L. Jones
Leong Ng
Thomas Yates
Melanie J Davies
Gerry P. McCann
Gaurav S. Gulsin
Publikationsdatum
01.12.2024
Verlag
BioMed Central
Erschienen in
BMC Cardiovascular Disorders / Ausgabe 1/2024
Elektronische ISSN: 1471-2261
DOI
https://doi.org/10.1186/s12872-023-03623-y

Weitere Artikel der Ausgabe 1/2024

BMC Cardiovascular Disorders 1/2024 Zur Ausgabe

Nach Herzinfarkt mit Typ-1-Diabetes schlechtere Karten als mit Typ 2?

29.05.2024 Herzinfarkt Nachrichten

Bei Menschen mit Typ-2-Diabetes sind die Chancen, einen Myokardinfarkt zu überleben, in den letzten 15 Jahren deutlich gestiegen – nicht jedoch bei Betroffenen mit Typ 1.

Erhöhtes Risiko fürs Herz unter Checkpointhemmer-Therapie

28.05.2024 Nebenwirkungen der Krebstherapie Nachrichten

Kardiotoxische Nebenwirkungen einer Therapie mit Immuncheckpointhemmern mögen selten sein – wenn sie aber auftreten, wird es für Patienten oft lebensgefährlich. Voruntersuchung und Monitoring sind daher obligat.

GLP-1-Agonisten können Fortschreiten diabetischer Retinopathie begünstigen

24.05.2024 Diabetische Retinopathie Nachrichten

Möglicherweise hängt es von der Art der Diabetesmedikamente ab, wie hoch das Risiko der Betroffenen ist, dass sich sehkraftgefährdende Komplikationen verschlimmern.

TAVI versus Klappenchirurgie: Neue Vergleichsstudie sorgt für Erstaunen

21.05.2024 TAVI Nachrichten

Bei schwerer Aortenstenose und obstruktiver KHK empfehlen die Leitlinien derzeit eine chirurgische Kombi-Behandlung aus Klappenersatz plus Bypass-OP. Diese Empfehlung wird allerdings jetzt durch eine aktuelle Studie infrage gestellt – mit überraschender Deutlichkeit.

Update Kardiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.