Juehua Zhu
Yongjun Jiang- 1Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
- 2Department of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
Editorial on the Research Topic
The role of diabetes in the pathophysiology and prognosis of ischemic stroke
Diabetes mellitus is a disease of abnormal carbohydrate metabolism characterized by hyperglycemia. It is associated with a relative or absolute impairment in insulin secretion, along with varying degrees of peripheral resistance to the action of insulin. Diabetes is estimated to affect 537 million adults worldwide, with a global prevalence of 10.5% among adults aged 20 to 79 years (1). Diabetes is one of the most serious and common chronic diseases of our times, causing life threatening disabling complications. Among these complications, stroke is most well-recognized and most common. Stroke is a disease with high prevalence, high disability, high mortality, and high recurrence rate. The lifetime risk of stroke for adult men and women is approximately 25% (2). Worldwide, stroke is the second most common cause of mortality and the second most common cause of disability (3). Diabetes affects 33% of patients with ischemic stroke, and 26% of those with hemorrhagic stroke (4). The Emerging Risk Factors Collaboration meta-analysis of 102 prospective studies with 8.5 million person-years of follow-up demonstrated that diabetes increased ischemic stroke 2.27-fold (5). Diabetes not only affects the onset of stroke, but also is related to the prognosis of stroke outcome. Diabetes double the risk of stroke recurrence, and increases the risk of death or disability post ischemic stroke (6). Diabetic individuals after stroke have a 25% induction in favorable outcome, such as being able to function independently in activities of daily life (7). Furthermore, diabetes has been reported to be associated with increased risk of developing cognitive impairment and dementia after stroke by 2.56-fold (8). Diabetes itself increases the production of reactive oxygen species, promotes the proinflammatory processes. These are the considered mechanisms of accelerated arthrosclerosis and increased risk of thrombus formation which finally lead the onset of ischemic stroke (7, 9). Therefore, in this special issue ‘The role of diabetes in pathophysiology and prognosis of ischemic stroke’ in Frontiers in Endocrinology, we focused on the roles of etiology, pathology, treatment, prognosis of stroke.
Ding et al. explored the association between insulin resistance (IR) and the mechanisms of brain injury after ischemic stroke, which revealed that IR was not a feature of diabetes, but also was essential in the development and progression of ischemic stroke. On one hand, IR added to the risk of embolism by causing endothelial dysfunction and platelet hyperactivation. On the other hand, IR promoted atherosclerosis through inflammatory process, vascular smooth muscle cells proliferation, dyslipidemia, and hypertension. In the clinical practice, there were several well-recognized criteria for evaluating IR, such as homeostasis model assessment of IR (HOMA-IR), oral glucose tolerance tests (OGTT), C-peptide release test, triglyceride glucose (TyG) index, and metabolic score for insulin resistance (METS-IR). And each of them has their own merits and demerits. In recent years, TyG index has been studied as a novel and convenient tool for evaluating atherosclerosis of cardiovascular diseases. In a retrospective observational cohort study of 5593134 persons older than 40 years during a follow-up of 8.2 years, higher TyG was proved to increase the risk of stroke and myocardial infarction by 1.1259- and 1.282-fold (10). In the current issue, Tang et al. demonstrated in a cross-sectional study in southeast China which included 4499 participants aged ≥40 years, that higher TyG index was an independent predictor of the presence of plaque in the carotid artery among the high-stroke-risk population. But there was no correlation between TyG and increased intima-media thickness or carotid artery stenosis. METS-IR is a novel score to screen of evaluate cardiometabolic risk and could be used to screen for early IR as relative to other markers (11). Cai et al. reported that in a retrospective cohort study which included 14032 hospitalized patients, METS-IR was associated with risk of stroke (HR, 1.80; 95CI%, 1.50-2.17) and ischemic stroke (HR, 1.96; 95% CI, 1.60-2.42). Furthermore, circulating microRNAs (miRNAs) have emerged as potential biomarkers in stroke. The downregulation of miRNAs might promote expression of its target genes and their corresponding protein-associated pathways. And miRNA upregulation inhibits expression and the function of target genes and their encoded proteins. Toor et al. specifically emphasized the circulating miRNA profiling of ischemic stroke patients with or without type 2 diabetes. They discovered that Has-miR-361 -3p and -664a-5p were downregulated, whereas miR-423-3p, -140-5p, and -17-3p were upregulated.
Apart from the association of diabetes and incidence of stroke, diabetes is closely correlated to the outcome of stroke. Reperfusion therapy including thrombolysis with intravenous alteplase Tenecteplase, or mechanical thrombectomy for major artery occlusion significantly improves the prognosis of stroke patients (12, 13). Stress hyperglycemia ratio (SHR) defined as defined as the stress fasting glycemia/HbA1c ratio, is a quantitative tool for stress hyperglycemia. Previous studies suggested that high SHR was associated with early neurological deterioration (END) and poor outcome in patients treated with intravenous thrombolysis (14) and increased the risk of symptomatic intracranial hemorrhage and mortality after endovascular thrombectomy (15). In the current issue, Dai et al. demonstrated that SHR increased the incidence of END (OR, 5.77; 95%CI, 1.878-17.742) and decreased the likelihood of favorable outcome (OR, 1.96, 95%CI, 0.077-0.502) in stroke patients with endovascular thrombectomy. Gu et al. from the PostErior circulation iSchemIc Stroke (PERSIST) registry revealed that, for patients with vertebral artery occlusion receiving endovascular treatment, not only SHR, but also admission hyperglycemia, fasting blood glucose (FBG) are predictive risk factor for symptomatic intracranial hemorrhage, poor functional outcomes at 90 days and at 1 year. The effect of these perioperative glycemic indicators was significant in both the general population and the non-diabetic subgroup, but not in the diabetic subgroup. In 955 patients from Nanjing Stroke Registry Program, Wang et al. suggested that elevated TyG index was associated with stroke recurrence within 1 year follow-up (HR, 2.077; 95% CI, 1.158-3.711).
Together, in the Research Topic, we reveal that the status of hyperglycemia, or insulin resistance, increases the risk of atherosclerosis and ischemic stroke, and leads to worse outcome for stroke patients even though reperfusion therapy is applied.
Author contributions
JZ for manuscript preparation, YJ for revising and final approval.
Funding
This study was financially supported by the National Science Foundation of China (81471181 and 81870933), Guangdong Basic and Applied Basic Research Foundation (2021A1515011351), Guangzhou Science and Technology Project (202102010127), and the Opening Lab Program of Guangzhou Medical University (0506308) to YJ; National Natural Science Foundation of China (No. 82171282), Suzhou Mingsheng Science Technology Project (No. 2020101), Scientific Research Project of Jiangsu Provincial Health and Wellness Committee (No. M2020064), and Health Youth Backbone Project of Suzhou City (Qngg2021003) to JZ.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, et al. IDF diabetes atlas: global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract (2022) 183:109119. doi: 10.1016/j.diabres.2021.109119
2. G.B.D.L.R.o.S. Collaborators, Feigin VL, Nguyen G, Cercy K, Johnson CO, Alam T, et al. Global, regional, and country-specific lifetime risks of stroke, 1990 and 2016. New Engl J Med (2018) 379:2429–37. doi: 10.1056/NEJMoa1804492
3. G.B.D.N. Collaborators. Global, regional, and national burden of neurological disorders, 1990-2016: a systematic analysis for the global burden of disease study 2016. Lancet Neurol (2019) 18:459–80. doi: 10.1016/S1474-4422(18)30499-X
4. Lau LH, Lew J, Borschmann K, Thijs V, Ekinci EI. Prevalence of diabetes and its effects on stroke outcomes: a meta-analysis and literature review. J Diabetes Investig (2019) 10:780–92. doi: 10.1111/jdi.12932
5. C. Emerging Risk Factors, Sarwar N, Gao P, Seshasai SR, Gobin R, Kaptoge S, et al. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Lancet (2010) 375:2215–22. doi: 10.1016/S0140-6736(10)60484-9
6. Hankey GJ. Population impact of potentially modifiable risk factors for stroke. Stroke (2020) 51:719–28. doi: 10.1161/STROKEAHA.119.024154
7. Pikula A, Howard BV, Seshadri S, Stroke and Diabetes. Diabetes in America. Cowie CC, Casagrande SS, Menke A, Cissell MA, Eberhardt MS, Meigs JB, Gregg EW, Knowler WC, Barrett-Connor E, Becker DJ, Brancati FL, Boyko EJ, Herman WH, Howard BV, Narayan KMV, Rewers M, Fradkin JE, editors. Bethesda (MD) (2018).
8. Shang Y, Fratiglioni L, Marseglia A, Plym A, Welmer AK, Wang HX, et al. Association of diabetes with stroke and post-stroke dementia: a population-based cohort study. Alzheimers Dement (2020) 16:1003–12. doi: 10.1002/alz.12101
9. Beckman JA, Creager MA, Libby P. Diabetes and atherosclerosis: epidemiology, pathophysiology, and management. JAMA: J Am Med Assoc (2002) 287:2570–81. doi: 10.1001/jama.287.19.2570
10. Hong S, Han K, Park CY. The triglyceride glucose index is a simple and low-cost marker associated with atherosclerotic cardiovascular disease: a population-based study. BMC Med (2020) 18:361. doi: 10.1186/s12916-020-01824-2
11. Bello-Chavolla OY, Almeda-Valdes P, Gomez-Velasco D, Viveros-Ruiz T, Cruz-Bautista I, Romo-Romo A, et al. METS-IR, a novel score to evaluate insulin sensitivity, is predictive of visceral adiposity and incident type 2 diabetes. Eur J Endocrinol (2018) 178:533–44. doi: 10.1530/EJE-17-0883
12. Powers WJ, Rabinstein AA, Ackerson T, Adeoye OM, Bambakidis NC, Becker K, et al. Guidelines for the early management of patients with acute ischemic stroke: 2019 update to the 2018 guidelines for the early management of acute ischemic stroke: a guideline for healthcare professionals from the American heart Association/American stroke association. Stroke (2019) 50(12):e344-e418. doi: 10.1161/STR.0000000000000211
13. Berge E, Whiteley W, Audebert H, De Marchis GM, Fonseca AC, Padiglioni C, et al. European Stroke organisation (ESO) guidelines on intravenous thrombolysis for acute ischaemic stroke. Eur Stroke J (2021) 6(1):I–LXII. doi: 10.1177/2396987321989865
14. Wang L, Cheng Q, Hu T, Wang N, Wei X, Wu T, et al. Impact of stress hyperglycemia on early neurological deterioration in acute ischemic stroke patients treated with intravenous thrombolysis. Front Neurol (2022) 13:870872. doi: 10.3389/fneur.2022.870872
Keywords: ischemic stroke, diabetes mellitus, insulin resistance, TyG index, reperfusion therapy
Citation: Zhu J and Jiang Y (2023) Editorial: the role of diabetes in the pathophysiology and prognosis of ischemic stroke. Front. Endocrinol. 14:1207537. doi: 10.3389/fendo.2023.1207537
Received: 17 April 2023; Accepted: 21 April 2023;
Published: 04 May 2023.
Edited and Reviewed by:
Åke Sjöholm, Gävle Hospital, SwedenCopyright © 2023 Zhu and Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yongjun Jiang, amlhbmd5am5qdUBnbWFpbC5jb20=
†ORCID: Yongjun Jiang, orcid.org/0000-0003-2405-7370