Literature DB >> 34920750

Hyperglycemia and insulin resistance in COVID-19 versus non-COVID critical illness: Are they really different?

Lies Langouche1, Greet Van den Berghe1, Jan Gunst2.   

Abstract

Entities:  

Keywords:  COVID-19; Diabetes; Hyperglycemia; Insulin

Mesh:

Year:  2021        PMID: 34920750      PMCID: PMC8680062          DOI: 10.1186/s13054-021-03861-6

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


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Background

Hyperglycemia frequently develops in patients with severe COVID-19, regardless of preadmission diabetes status, as in non-COVID critically ill patients [1, 2]. In non-COVID patients, stress hyperglycemia has been attributed to insulin resistance due to elevated counterregulatory hormones, cytokines, and drugs including steroids, although beta-cell dysfunction through prolonged hyperglycemia, poor beta-cell reserve, hypoperfusion and inflammation may co-exist in some patients (Fig. 1) [3]. As in non-COVID patients, numerous observational studies have associated more severe hyperglycemia and increased glucose variability with poor outcome in COVID-19 patients [1, 2, 4, 5]. However, causality remains unclear, since insulin resistance and resultant hyperglycemia closely relate to illness severity [1, 6]. In this regard, a recent observational study also associated insulin treatment with increased mortality of COVID-19 [7]. Evidently, observational studies have an inherent risk of residual confounding, whereby the ideal glucose target can only be derived from adequately powered randomized controlled trials (RCTs).
Fig. 1

Potential pathophysiological mechanisms of hyperglycemia in COVID-19 and non-COVID-induced critical illness. The figure was created with BioRender.com

Potential pathophysiological mechanisms of hyperglycemia in COVID-19 and non-COVID-induced critical illness. The figure was created with BioRender.com Despite substantial similarities with non-COVID critical illness, some investigators have suggested that COVID-19 patients may be at increased risk of more severe hyperglycemia due to virus-mediated effects on beta-cell function and/or insulin sensitivity (Fig. 1) [8-11], which could predispose COVID-19 patients to diabetic emergencies. On the other hand, patients with severe COVID-19 more commonly have pre-existing diabetes and/or increased body-mass index as risk factors for insulin resistance, which is aggravated by routine steroid treatment [2, 12]. Clinical evidence confirming an increased incidence of diabetic emergencies related to COVID-19 surges is inconsistent, as are mechanistic studies on potential virus-induced alterations in glucose homeostasis [2, 8–11]. In a recent mechanistic study, Reiterer et al. reported that COVID-19-associated hyperglycemia may be driven through viral adipocyte infection, resulting in reduced release of adiponectin—a glucoregulatory hormone—, and secondary insulin resistance [11]. Indeed, in animal and in vitro studies, adipocytes could be infected by SARS-CoV-2, which was associated with decreased adiponectin expression. Moreover, in a relatively small human study (N = 101), patients with COVID-19-associated acute respiratory distress syndrome had lower circulating adiponectin and elevated C-peptide over glucose—potentially indicating insulin resistance and beta-cell reserve—as compared to intensive care patients without COVID-19, who were classified as having (predominantly) beta-cell failure as cause of hyperglycemia [11]. Yet, it remains unclear whether these findings reveal a specific pathophysiological response to SARS-CoV-2, since low adiponectin concentrations have been reported in non-COVID critical illness as well [13]. Moreover, numerous potential confounders warrant caution. First, patients were not matched for baseline characteristics, with more diabetics in the non-COVID cohort and—presumably—a higher illness severity in the COVID-19 cohort, in view of the higher peak glucose concentrations observed in these patients. Hence, baseline imbalance could explain the claimed differences in insulin resistance versus beta-cell failure between cohorts. Second, circulating glucose, C-peptide and adiponectin are affected by nutrition and insulin treatment [14, 15], which was not reported, respectively differed between the groups, and time of blood sampling was not standardized. Finally, the used definitions of insulin resistance and beta-cell failure are contentious. Insulin resistance was defined as the absence of beta-cell failure, although both conditions may co-exist. Moreover, the cutoff of C-peptide over glucose was not validated, and in addition to effects of insulin treatment on C-peptide and glucose, concentrations were not measured concomitantly. Finally, the finding of predominant beta-cell failure in non-COVID critical illness contradicts with preceding evidence [3, 14], which demonstrated ubiquitous insulin resistance and which questions the used tool to define insulin resistance in this study. In contrast, other mechanistic studies have put forward virus-induced beta-cell dysfunction or damage as potential mediator of hyperglycemia in COVID-19 [8-10]. In human islets, SARS-CoV-2 was able to infect beta-cells, leading to cell death [9]. Also autopsy studies in patients dying with COVID-19 revealed presence of SARS-CoV-2 transcript and/or antigen in beta-cells of some, but not all patients [8-10]. However, apart from the low number of included patients, several issues warrant caution not to overinterpret these findings, including the suboptimal tissue quality due to autolysis, conflicting data regarding the pancreatic expression of SARS-CoV-2 receptors and the beta-cell selectivity of viral damage, and the lack of in vivo evidence [8-10]. If virus-mediated beta-cell death would be a primary mechanism of hyperglycemia in severe COVID-19, one would expect persistent insulin need in the majority of patients, which is not the case [2]. Whether COVID-19 associates with an increased incidence of persistent diabetes mellitus or not, is currently being investigated [2]. Interestingly, a recent mechanistic study found potentially reversible beta-cell transdifferentiation rather than cell death in human islets exposed to SARS-CoV-2, characterized by lower expression of insulin and upregulated expression of alpha-cell markers [10]. Also in this case, it remains unclear whether such transdifferentiation also occurs in vivo. From a clinical perspective, the question is to what extent COVID-19-associated hyperglycemia should be treated, for which there is yet no solid RCT evidence. Also in non-COVID critical illness, the ideal glucose target remains debated [1]. Our research group showed via three RCTs improved morbidity and mortality of critically ill children and adults by maintaining blood glucose with insulin in the healthy, normal range. Clinical benefit was subsequently attributed to prevention of glucose overload and associated mitochondrial damage. In contrast, the largest multicenter RCT in critically ill adults found an opposite impact of tight glucose control on mortality, which was attributed to an increased incidence of hypoglycemia. The differences between the subsequent RCTs could be explained by differences in accuracies of the glucose control protocols and differences in feeding strategies [1]. The multicenter TGC-fast RCT is currently investigating whether tight glucose control performed with a validated protocol that minimizes the incidence of hypoglycemia is still beneficial in the absence of early full feeding (clinicaltrials.gov NCT03665207).

Conclusions

Stress hyperglycemia and insulin resistance are characteristic of acute critical illness. It remains unclear if COVID-19-associated hyperglycemia and insulin resistance is more severe than in non-COVID patients with similar disease severity, and (in that case), whether this is mediated by viral infection of beta-cells and/or adipocytes. As in non-COVID critically ill patients, the ideal blood glucose target remains to be defined.
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Authors:  Mirna B Marques; Lies Langouche
Journal:  Crit Care Med       Date:  2013-01       Impact factor: 7.598

Review 2.  Glucose control in the ICU.

Authors:  Jan Gunst; Astrid De Bruyn; Greet Van den Berghe
Journal:  Curr Opin Anaesthesiol       Date:  2019-04       Impact factor: 2.706

3.  SARS-CoV-2 infection induces beta cell transdifferentiation.

Authors:  Xuming Tang; Skyler Uhl; Tuo Zhang; Dongxiang Xue; Bo Li; J Jeya Vandana; Joshua A Acklin; Lori L Bonnycastle; Narisu Narisu; Michael R Erdos; Yaron Bram; Vasuretha Chandar; Angie Chi Nok Chong; Lauretta A Lacko; Zaw Min; Jean K Lim; Alain C Borczuk; Jenny Xiang; Ali Naji; Francis S Collins; Todd Evans; Chengyang Liu; Benjamin R tenOever; Robert E Schwartz; Shuibing Chen
Journal:  Cell Metab       Date:  2021-05-19       Impact factor: 27.287

4.  Viral RNA load in plasma is associated with critical illness and a dysregulated host response in COVID-19.

Authors:  Jesús F Bermejo-Martin; Milagros González-Rivera; Raquel Almansa; Dariela Micheloud; Ana P Tedim; Marta Domínguez-Gil; Salvador Resino; Marta Martín-Fernández; Pablo Ryan Murua; Felipe Pérez-García; Luis Tamayo; Raúl Lopez-Izquierdo; Elena Bustamante; César Aldecoa; José Manuel Gómez; Jesús Rico-Feijoo; Antonio Orduña; Raúl Méndez; Isabel Fernández Natal; Gregoria Megías; Montserrat González-Estecha; Demetrio Carriedo; Cristina Doncel; Noelia Jorge; Alicia Ortega; Amanda de la Fuente; Félix Del Campo; José Antonio Fernández-Ratero; Wysali Trapiello; Paula González-Jiménez; Guadalupe Ruiz; Alyson A Kelvin; Ali Toloue Ostadgavahi; Ruth Oneizat; Luz María Ruiz; Iria Miguéns; Esther Gargallo; Ioana Muñoz; Sara Pelegrin; Silvia Martín; Pablo García Olivares; Jamil Antonio Cedeño; Tomás Ruiz Albi; Carolina Puertas; Jose Ángel Berezo; Gloria Renedo; Rubén Herrán; Juan Bustamante-Munguira; Pedro Enríquez; Ramón Cicuendez; Jesús Blanco; Jesica Abadia; Julia Gómez Barquero; Nuria Mamolar; Natalia Blanca-López; Luis Jorge Valdivia; Belén Fernández Caso; María Ángeles Mantecón; Anna Motos; Laia Fernandez-Barat; Ricard Ferrer; Ferrán Barbé; Antoni Torres; Rosario Menéndez; José María Eiros; David J Kelvin
Journal:  Crit Care       Date:  2020-12-14       Impact factor: 9.097

5.  COVID-19, Hyperglycemia, and New-Onset Diabetes.

Authors:  Kamlesh Khunti; Stefano Del Prato; Chantal Mathieu; Steven E Kahn; Robert A Gabbay; John B Buse
Journal:  Diabetes Care       Date:  2021-10-08       Impact factor: 19.112

6.  Adiponectin, retinol-binding protein 4, and leptin in protracted critical illness of pulmonary origin.

Authors:  Lies Langouche; Sarah Vander Perre; Jan Frystyk; Allan Flyvbjerg; Troels Krarup Hansen; Greet Van den Berghe
Journal:  Crit Care       Date:  2009-07-09       Impact factor: 9.097

7.  Insulin Treatment Is Associated with Increased Mortality in Patients with COVID-19 and Type 2 Diabetes.

Authors:  Bo Yu; Chenze Li; Yang Sun; Dao Wen Wang
Journal:  Cell Metab       Date:  2020-11-23       Impact factor: 27.287

8.  Fasting plasma glucose and glucose fluctuation are associated with COVID-19 prognosis regardless of pre-existing diabetes.

Authors:  Weijia Xie; Na Wu; Bin Wang; Yu Xu; Yao Zhang; Ying Xiang; Wenjing Zhang; Zheng Chen; Zhiquan Yuan; Chengying Li; Xiaoyue Jia; Yifan Shan; Bin Xu; Li Bai; Li Zhong; Yafei Li
Journal:  Diabetes Res Clin Pract       Date:  2021-09-06       Impact factor: 5.602

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Review 2.  Diabetes and COVID-19: Short- and Long-Term Consequences.

Authors:  Charlotte Steenblock; Mohamed Hassanein; Emran G Khan; Mohamad Yaman; Margrit Kamel; Mahmoud Barbir; Dietrich E Lorke; John A Rock; Dean Everett; Saqipi Bejtullah; Adrian Heimerer; Ermal Tahirukaj; Petrit Beqiri; Stefan R Bornstein
Journal:  Horm Metab Res       Date:  2022-06-20       Impact factor: 2.788

3.  Stress Hyperglycemia Ratio as a Prognostic Marker in Diabetic Patients Hospitalized with COVID-19.

Authors:  Mohamed Aon; Abdullah Alsaeedi; Azeez Alzafiri; Abdelrahman Al-Shammari; Sherif Taha; Omar Al-Shammari; Mahmoud Tawakul; Jarrah Alshammari; Naser Alherz; Monerah Alenezi; Meshari Eyadah; Mariam Aldhafeeri; Teflah Alharbi; Duaa Alshammari; Zaid Alenezi; Salem Aldouseri; Ebraheem Albazee; Mohamed M Ibrahim; Ahmed H Aoun
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