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. 2022 Jul 6;14(14):2786.
doi: 10.3390/nu14142786.

ER-Stress and Senescence Coordinately Promote Endothelial Barrier Dysfunction in Diabetes-Induced Atherosclerosis

Affiliations

ER-Stress and Senescence Coordinately Promote Endothelial Barrier Dysfunction in Diabetes-Induced Atherosclerosis

Sameen Fatima et al. Nutrients. .

Abstract

Diabetes mellitus is hallmarked by accelerated atherosclerosis, a major cause of mortality among patients with diabetes. Efficient therapies for diabetes-associated atherosclerosis are absent. Accelerated atherosclerosis in diabetic patients is associated with reduced endothelial thrombomodulin (TM) expression and impaired activated protein C (aPC) generation. Here, we directly compared the effects of high glucose and oxidized LDL, revealing that high glucose induced more pronounced responses in regard to maladaptive unfolded protein response (UPR), senescence, and vascular endothelial cell barrier disruption. Ex vivo, diabetic ApoE-/- mice displayed increased levels of senescence and UPR markers within atherosclerotic lesions compared with nondiabetic ApoE-/- mice. Activated protein C pretreatment maintained barrier permeability and prevented glucose-induced expression of senescence and UPR markers in vitro. These data suggest that high glucose-induced maladaptive UPR and associated senescence promote vascular endothelial cell dysfunction, which-however-can be reversed by aPC. Taken together, current data suggest that reversal of glucose-induced vascular endothelial cell dysfunction is feasible.

Keywords: activated protein C; atherosclerosis; diabetes; endothelial cells; senescence; unfolded protein response.

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Conflict of interest statement

The authors declare that no conflict of interest exists.

Figures

Figure 1
Figure 1
Hyperglycaemia-induced senescence promotes barrier disruption in endothelial cells. (A) Experimental design and treatment conditions. (B,C) Dot plot summarizing data of barrier integrity measured by FITC dextran leakage (B) and TEER (C). (DG) Exemplary immunoblot of p21, p16, and p53 ((D), loading control: GAPDH) and dot plot summarizing p21 (E), p16 (F) and p53 (G) densitometric quantifications of immunoblots. (HL) Representative immunofluorescence images showing endothelial cell staining for p21 ((H), top panel, red; nuclear counterstain: DAPI, blue), p16 ((H), first middle panel, red; nuclear counterstain: DAPI, blue), p53 ((H), second middle panel, red; nuclear counterstain: DAPI, blue) and senescence-associated beta galactosidase staining ((H), bottom panel, blue). Dot plots summarizing data for p21 (I), p16 (J), p53 (K) and SAβ gal (L). Scale bar: 20 µm (H). HCAEC maintained under control (non-treated, C), high glucose (25 mM; HG) or oxidized low density lipoprotein (oxLDL 50 µg/mL, oxLDL) conditions. Each dot represents data obtained from one biological specimen; * p < 0.05, ** p < 0.01; ANOVA.
Figure 2
Figure 2
Senescence is induced within plaques of diabetic ApoE−/− mice. (A) Representative immunofluorescence images showing staining of brachiocephalic arteries for p21 ((A), top panel, p21, green; nuclear counterstain: DAPI, blue), p16 ((A), middle panel, p16, red; nuclear counterstain: DAPI, blue) and p53 ((A), bottom panel, p16, red; nuclear counterstain: DAPI, blue). (BD) Dot plots summarizing immunofluorescence data for p21 (B) p16 (C), p53 (D) and Scale bar: 20 µm (A). ApoE−/− control mice (Cont, normal chow diet, citrate instead of streptozotocin injections), DM mice (normal chow diet, streptozotocin injections) or HFD mice (fed high fat diet). Each dot represents data obtained from one mouse specimen; ** p < 0.01; ANOVA.
Figure 3
Figure 3
Hyperglycaemia induces UPR in endothelial cells and within plaques of diabetic ApoE−/− mice. (AC) Representative immunoblots spliced XBP1 (sXBP1), total ATF6, and cleaved ATF6 alpha (cl-ATF6α) ((A), loading control: GAPDH). Dot plots summarize densitometric quantifications of immunoblotting results for sXBP1 (B) and cl-ATF6α (C). (DF) Representative immunofluorescence images showing endothelial cells staining for sXBP1 ((D), upper panel, red; nuclear counterstain: DAPI, blue) and cl-ATF6-α ((D), lower panel, red; nuclear counterstain: DAPI, blue). Dot plots summarizing immunofluorescence data for sXBP1 (E) and cl-ATF6-α (F). Scale bar: 20 µm (D). (GI) Representative immunofluorescence images showing staining of brachiocephalic arteries for sXBP1 ((G), upper panel, sXBP1, red; DAPI nuclear counterstain, blue) and cl-ATF6-α ((G), lower panel, cl-ATF6-α, green; DAPI nuclear counterstain, blue). Dot plots summarizing immunofluorescence data for sXBP1 (H) and cl-ATF6-α (I). Scale bar: 20µm (G). HCAECs maintained under control (C), high glucose (25 mM; HG) or oxidized low density lipoprotein (oxLDL 50 µg/mL, oxLDL) conditions. Each dot represents data obtained from one biological specimen. ApoE−/− control mice (Cont, normal chow diet, citrate instead of streptozotocin injections), DM mice (normal chow diet, streptozotocin injections) or HFD mice (fed high fat diet). Each dot represents data obtained from one mouse specimen; * p < 0.05, ** p < 0.01, ns: non-significant; ANOVA.
Figure 4
Figure 4
aPC avert glucose-induced UPR. (AC) Representative immunoblots showing spliced XBP1 (sXBP1), total ATF6 and cleaved ATF6 alpha (cl-ATF6α) ((A), loading control: GAPDH). Dot plots summarize densitometric quantifications of immunoblotting results for sXBP1 (B) and cl-ATF6α (C). (DF) Representative immunofluorescence images showing staining for sXBP1 ((D), middle panel, red; nuclear counterstain: DAPI, blue) and cl-ATF6-α ((D), bottom panel, red; nuclear counterstain: DAPI, blue). Dot plots summarizing immunofluorescence data for sXBP1 (E) and cl-ATF6-α (F). Scale bar: 20 µm (D). HCAECs maintained under control (C), high glucose (25 mM; HG) or HG + aPC (25 mM glucose + 20 nM of exogenous activated protein C) conditions. Each dot represents data obtained from one biological specimen. ** p < 0.01; ANOVA.
Figure 5
Figure 5
aPC reduces glucose-induced senescence. (AC) Representative immunoblots showing p21 and p16 expressions ((A), loading control: GAPDH). Dot plots summarize densitometric quantifications of immunoblotting results for p21 (B) and p16 (C). (DF) Representative immunofluorescence images showing endothelial cells staining for p21 ((D), upper panel, p21, red; nuclear counterstain: DAPI, blue) and p16 ((D), lower panel, p16, red; nuclear counterstain: DAPI, blue). Dot plots summarizing immunofluorescence data for p21 (E) and p16 (F). Scale bar: 20 µm (D). (G,H) Dot plot summarizing barrier integrity data measured by FITC dextran leakage (G) and TEER (H). HCAECs maintained under control (C), high glucose (25 mM; HG), or HG+aPC (25 mM glucose + 20nM of exogenous activated protein C) conditions. Each dot represents data obtained from one biological specimen. ** p < 0.01; ANOVA.

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References

    1. Benjamin E.J., Muntner P., Alonso A., Bittencourt M.S., Callaway C.W., Carson A.P., Chamberlain A.M., Chang A.R., Cheng S., Das S.R., et al. Correction to: Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation. 2020;141:e33. doi: 10.1161/CIR.0000000000000746. - DOI - PubMed
    1. Benjamin E.J., Muntner P., Alonso A., Bittencourt M.S., Callaway C.W., Carson A.P., Chamberlain A.M., Chang A.R., Cheng S., Das S.R., et al. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation. 2019;139:e56–e528. doi: 10.1161/CIR.0000000000000659. - DOI - PubMed
    1. Stitziel N.O., Kanter J.E., Bornfeldt K.E. Emerging Targets for Cardiovascular Disease Prevention in Diabetes. Trends Mol. Med. 2020;26:744–757. doi: 10.1016/j.molmed.2020.03.011. - DOI - PMC - PubMed
    1. Maahs D.M., Daniels S.R., de Ferranti S.D., Dichek H.L., Flynn J., Goldstein B.I., Kelly A.S., Nadeau K.J., Martyn-Nemeth P., Osganian S.K., et al. Cardiovascular disease risk factors in youth with diabetes mellitus: A scientific statement from the American Heart Association. Circulation. 2014;130:1532–1558. doi: 10.1161/CIR.0000000000000094. - DOI - PubMed
    1. Engelbertsen D., To F., Duner P., Kotova O., Soderberg I., Alm R., Gomez M.F., Nilsson J., Bengtsson E. Increased inflammation in atherosclerotic lesions of diabetic Akita-LDLr(-)/(-) mice compared to nondiabetic LDLr(-)/(-) mice. Exp. Diabetes Res. 2012;2012:176162. doi: 10.1155/2012/176162. - DOI - PMC - PubMed