| Literature DB >> 32066445 |
Marco Witkowski1, Mario Witkowski2, Mona Saffarzadeh3, Julian Friebel1, Termeh Tabaraie1, Loc Ta Bao1, Aritra Chakraborty1, Andrea Dörner1, Bernd Stratmann4, Diethelm Tschoepe4, Samantha J Winter5, Andreas Krueger5, Wolfram Ruf3, Ulf Landmesser1, Ursula Rauch6.
Abstract
BACKGROUND: Diabetes mellitus is characterized by chronic vascular inflammation leading to pathological expression of the thrombogenic full length (fl) tissue factor (TF) and its isoform alternatively-spliced (as) TF. Blood-borne TF promotes factor (F) Xa generation resulting in a pro-thrombotic state and cardiovascular complications. MicroRNA (miR)s impact gene expression on the post-transcriptional level and contribute to vascular homeostasis. Their distinct role in the control of the diabetes-related procoagulant state remains poorly understood.Entities:
Keywords: Diabetes complications; Diabetes mellitus; Endothelial cells; Monocytes; NFκB; PTEN; Thrombosis; Tissue factor; Vascular homeostasis; microRNA
Year: 2020 PMID: 32066445 PMCID: PMC7027062 DOI: 10.1186/s12933-020-0993-z
Source DB: PubMed Journal: Cardiovasc Diabetol ISSN: 1475-2840 Impact factor: 9.951
Patient characteristics
| Patient characteristics | Mean ± SD, median [IQR] or percentage | Correlation coefficient vs. miR-181b | |
|---|---|---|---|
| Age (years) | 65.6 ± 9.3 | − 0.053 | 0.722 |
| Female gender (%) | 26.0 | 0.011 | 0.941 |
| BMI (kg/m2) | 30.6 [27.75–35.25] | 0.203 | 0.175 |
| Minimal fasting blood glucose (mg/dL) | 93.0 [75.75–128.3] | − 0.105 | 0.485 |
| Maximal fasting blood glucose (mg/dL) | 197.5 [140.5–238.8] | 0.146 | 0.332 |
| Average fasting blood glucose (mg/dL) | 139.1 [117.8–166.5] | − 0.012 | 0.934 |
| HbA1c (%) | 8.39 ± 1.61 | 0.2895 | 0.051 |
| HbA1c (mmol/mol) | 68.1 ± 17.7 | 0.2895 | 0.051 |
| CRP (mg/dL) | 0.40 [0.14–0.64] | − 0.051 | 0.733 |
| Leukocytes (N/nL) | 7.4 [6.37–9.12] | − 0.295 | 0.045* |
| Neutrophils (%) | 59.4 [52.03–66.65] | − 0.318 | 0.031* |
| Monocytes (%) | 6.83 ± 2.29 | 0.028 | 0.850 |
| 377.8 [247.4–523.5] | − 0.343 | 0.019* | |
| Hemoglobin (g/dL) | 14.0 ± 1.2 | − 0.089 | 0.555 |
| Homocysteine (µmol/L) | 12.5 [10.95–17.08] | 0.071 | 0.637 |
| thrombocytes (N/nL) | 211.9 ± 51.7 | − 0.226 | 0.130 |
| Triglycerides (mg/dL) | 186 [110.3–271.0] | 0.222 | 0.136 |
| LDL cholesterol (mg/dL) | 113 [88–135] | 0.043 | 0.796 |
| miR-181b-5p | 0.169 [0.014–0.470] | 1 | |
| hypertension (%) | 100 | ||
| CAD (%) | 41.3 | − 0.177 | 0.236 |
| PAD (%) | 26.0 | − 0.096 | 0.521 |
| carotid stenosis (%) | 8.6 | − 0.133 | 0.375 |
| history of stroke (%) | 10.8 | − 0.249 | 0.094 |
| History of myocardial infarction (%) | 15.2 | − 0.006 | 0.964 |
| Medication | |||
| Insulin (%) | 69.5 | − 0.135 | 0.370 |
| Metformin (%) | 50.0 | 0.462 | < 0.001* |
| Sulfonylurea (%) | 17.3 | − 0.146 | 0.330 |
| Statin (%) | 50.0 | − 0.040 | 0.787 |
| Diuretics (%) | 60.8 | 0.164 | 0.274 |
| ACE inhibitor (%) | 47.8 | 0.114 | 0.447 |
| Angiotensin receptor blocker (%) | 28.2 | 0.194 | 0.194 |
| Aldosterone antagonist (%) | 8.6 | − 0.017 | 0.908 |
| Calcium antagonist (%) | 17.3 | − 0.177 | 0.239 |
| Nitrate vasodilators (%) | 13.0 | − 0.034 | 0.822 |
| Acetylsalicylic acid (%) | 58.7 | − 0.021 | 0.886 |
| Beta-blocker (%) | 50.0 | 0.194 | 0.194 |
N = 46, shown are either Pearson or Spearman correlation coefficients for normally and not normally distributed continuous variables, respectively. For binary variables, a point-biserial correlation was performed. Values presented are mean ± SD, medians [IQR] or percentages
ACE angiotensin-converting enzyme, BMI body mass index, CAD coronary artery disease, CRP c-reactive protein, HbA1c glycated hemoglobin, LDL low-density lipoprotein, MI myocardial infarction, PAD peripheral artery disease, TF tissue factor
*p<0.05
Material
| Application | Materials |
|---|---|
| ELISA | TF ELISA kit (Sekisui), |
| Transfection | Negative control mimic (Dharmacon), 200 nM miR-181b mimic (hsa-miR-181b-5p, HMI0270, Sigma), 200 nM anti-miR-181b (anti-hsa-miR-181b-5p, HSTUD0270, Sigma), 200 nM inhibitor control (Dharmacon), siRNA against PTEN (L-003023-00-0005), (Dharmacon) or a control siRNA (Dharmacon) |
| Taqman PCR | miR-181b-5p (001098), mouse asTF (custom-made), mouse flTF (Mm00438856_m1), human VCAM1 (Hs01003372), mouse VCAM1 (Mm00449197_m1), human PTEN (Hs01628827_s1), mouse PTEN (Mm00477208_m1), mouse KPNA4 (Mm00434725_m1), human GAPDH (Hs99999905_m1), mouse GAPDH (Mm99999915_g1), U6snRNA (001973), and self-designed FAM-tagged TaqMan® gene expression assays for human flTF and asTF (for details see [ |
| SYBR Green PCR | Human GAPDH (forward 5′-AGCCACATCGCTCAGACAC-3′, reverse 5′-GCCCAATACGACCAAATCC-3′), human KPNA4 Forward 5′-CAGGAGATTCTTCCAGCCCTTTGTGT-3′, Reverse 5′-ATTACCATCTGTATTTGTTCATTGCCAGCATC-3′) |
| Western blot | Human flTF (Sekisui diagnostics, 4501, goat IgG), human asTF (monoclonal rabbit, kindly provided by Prof. Vladimir Bogdanov, University of Cincinnati), human VCAM1 (Cell signaling, 13662S, rabbit IgG), human-KPNA4 (Abcam, ab6039, goat IgG), human PTEN (Cell signaling, 9559, rabbit IgG), human p-NFκB (Cell signaling, 3033, rabbit IgG), human NFκB (Santa Cruz, sc-109, rabbit IgG), human histone H3 (Cell signaling, 9715, rabbit), mouse and human GAPDH (Calbiochem, CB1001, mouse IgG), mouse TF (Sekisui diagnostics, 4515, rabbit IgG), mouse VCAM1 (Cell signaling, 39036, rabbit IgG) |
| IFA | Mouse TF (Sekisui diagnostics, 4515, rabbit IgG), mouse VCAM1 (Cell signalling, 39036, rabbit IgG), Goat anti Rabbit (Dianova), DAPI (Invitrogen), F-actin probe, Alexa Fluor 647 Phalloidin (Thermo Fisher, A12379) |
Fig. 1Plasma miR-181b correlates with reduced tissue factor activity and inflammation in diabetes. Plasma of patients with diabetes was analyzed with respect to miR-181b expression. Circulating miR-181b negatively correlated with TF protein (a) as well as TF activity (FXa generation) (b). Moreover, miR-181b expression was related to lower levels of the pro-inflammatory fibrinogen (c) and lower leukocyte counts (d). We also observed a correlation of miR-181b with the TF-specific miR-126 (e) and miR-19a (f). n = 46. Upon normality testing a Spearman or Pearson correlation was performed, r-values and p-values are indicated
Fig. 2miR-181b reduces the inflammation-induced expression of tissue factor in HMEC-1. HMEC-1 were transfected with a control mimic or miR-181b as well as a negative control inhibitor or anti-miR-181b. The cells were left untreated or stimulated with TNFα for 2 h for mRNA analysis of asTF (a, b) and flTF (c, d) or 6 h for TF protein (e). VCAM1 mRNA expression (f, g) and protein (h) in HMEC-1 transfected with miR-181b or anti-miR-181b following TNFα for 2 h and 6 h, respectively. Nuclear extracts (i, left panel) and cytoplasmatic extracts (i, right panel) of HMEC transfected with miR-181b or a control mimic at rest or stimulated with TNFα for 1 h subjected to western blot analysis using antibodies against NFκB, histone H3 (H3), or β-actin. n ≥ 3, groups were compared by 2-way ANOVA test with global p-values for treatment with TNFα and Sidak’s multiple comparison post hoc test
Fig. 3miR-181b inhibits LPS-induced tissue factor activity in THP-1. THP-1 cells were transfected with miR-181b and stimulated with LPS for 2 h to assess asTF and flTF mRNA (a, b) or 6 h for TF activity (c). THP-1 were transfected with a control mimic or miR-181b and then stimulated with LPS for 1 h. Cytoplasmatic extracts (d, upper panel) and nuclear extracts (d, lower panel) were then subjected to western blot analysis using antibodies against phospho-NFκB (phospho p65), NFκB (p65), histone H3 (H3), or GAPDH (bands show samples with equal loading of the same gel. The original blots can be found in Additional file 3: Figure S3). KPNA4 mRNA (e), PTEN mRNA (f) and protein (g) in THP-1 transfected with a control miR or miR-181b. THP-1 were transfected with a control siRNA or siRNA against PTEN. PTEN knock down was confirmed via quantification of PTEN mRNA (h) and led to reduced mRNA levels of flTF (i) and asTF (j). n ≥ 3, groups were compared by 2-way ANOVA test with global p-values for treatment with LPS and Sidak’s multiple comparison post hoc test (a, b) or student’s t-test
Fig. 4Loss of miR-181b induces tissue factor and VCAM1 expression in vivo. Aortas and spleen of miR-181−/− mice were analyzed with respect to mRNA and protein expression. miR-181b (a), asTF mRNA (b), flTF mRNA (c), murine (mu) TF protein (d) and immunofluorescence (IF) images using an anti-mouse (mu) TF antibody (red), DAPI (blue), and a F-actin probe (green) (e upper panel) in aortic segments. KPNA4 mRNA (f), VCAM1 mRNA (g), VCAM1 protein (h), and IF images using a mouse VCAM1-specific antibody (red) (e lower panel) in aortic tissue. Expression of asTF mRNA (i), flTF mRNA (j), PTEN mRNA (k), muTF protein (l), and IF for muTF (red)(M) in spleen of wt and miR-181−/− animals. n = 4–6 animals per group, compared by Mann–Whitney or student’s t-test
Fig. 5miR-181b deletion in bone marrow-derived macrophages leads to increased TF expression and FXa generation upon inflammation. Bone marrow-derived macrophages (BMDM) were isolated from wt mice or miR-181−/− animals and cultured. The cells were either left untreated or stimulated with 1 µg/mL LPS for 4 h. Next, the miR-181b expression (a), asTF mRNA (b), flTF mRNA (c), FXa generation (d), and muTF protein (e) were measured. n = 3–6 animals per group, groups were compared by 2-way ANOVA test with global p-values for treatment with LPS and Sidak’s multiple comparison post hoc test
Fig. 6Role of miR-181b in vascular homeostasis