Literature DB >> 32800450

Are people with uncontrolled diabetes mellitus at high risk of reinfections with COVID-19?

Rimesh Pal1, Mainak Banerjee2.   

Abstract

Several cases of positive real time-polymerase chain reaction (RT-PCR) results (called "re-positives") after recovery from COVID-19 have emerged worldwide. These cases could represent patients experiencing a "turn positive" of nucleic acid detection attributed to the high false-negative rate of RT-PCR. On the contrary, in symptomatic patients, the possibility of reactivation or true reinfection remains. We hypothesize that people with uncontrolled diabetes mellitus might be at a high risk of reinfections with COVID-19 attributed to the impaired adaptive immune response. In fact, multiple cases of re-positives/re-infections in people with diabetes mellitus have hitherto been reported.
Copyright © 2020 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  COVID-19; Diabetes mellitus; Reinfections

Year:  2020        PMID: 32800450      PMCID: PMC7413202          DOI: 10.1016/j.pcd.2020.08.002

Source DB:  PubMed          Journal:  Prim Care Diabetes        ISSN: 1878-0210            Impact factor:   2.459


The novel coronavirus disease (COVID-19) has affected over 17 million people, inflicting more than 668,000 casualties in over 200 nations worldwide [1]. Moreover, the World Health Organization has raised serious concerns about the possibility of a second infection with COVID-19 [2]. Reinfections have been reported with other human coronaviruses, namely, 229E, NL63, OC43, all of which generally cause milder respiratory illness. Hitherto, multiple cases of clinical recurrence of COVID-19 and/or positive real time-polymerase chain reaction (RT-PCR) results after recovery have been reported [[3], [4], [5], [6], [7], [8]]. Among 576 patients with COVID-19 discharged from hospital in Chongqing, China, 61 patients (10.6%) had positive RT-PCR test results [6]. These cases could represent patients experiencing a “turn positive” or “re-positive” of nucleic acid detection by RT-PCR after two consecutive negative results, attributed to prolonged persistence of the virus following initial infection that remained undetected due to the high false-negative rate of RT-PCR [9,10]. In fact, persistence of traces of viral RNA can be detected in respiratory samples up to 6 weeks after the onset of symptoms in clinically-cured patients [11]. However, in clinically symptomatic patients, the possibility of reactivation or true reinfection should be entertained [[3], [4], [5]]. Primary infection with a pathogen leads to the proliferation of antigen-specific T and B-lymphocytes to control the pathogen. Eventually, a memory pool of antigen-specific adaptive immune cells is left behind that establishes long-term protection for secondary encounters [12]. Re-challenge with the same/antigenically similar pathogen leads to rapid memory activation of the humoral and cellular arms of the adaptive immune system. It has also been demonstrated that in an immunocompetent host, reinfection with the same strain of the influenza virus is prevented by antibody-mediated neutralization of viral particles (sterilizing immunity) [13]. Acquired immunity after primary COVID-19 infection has been studied in rhesus monkeys. Four Chinese rhesus macaques were infected with SARS-CoV-2 and two out of the four were re-infected at 28 days post initial infection (dpi) with the same viral dose after confirming recovery. Viral loads in the swabs tested negative after reinfection. In addition, the necropsy from a reinfected monkey showed no viral replication as well as no pathognomonic histological changes. Furthermore, sera from three monkeys at 21 and 28 dpi exhibited neutralizing activity against SARS-CoV-2 in vitro, suggesting the production of protective neutralizing antibodies [14]. Similarly, COVID-19 infection in humans leads to the production of neutralizing antibodies, directed against the nucleocapsid and spike proteins of SARS-CoV-2. IgM antibodies appear as early as within 5 days after symptom onset and IgG within 5–7 days. Maximum seroconversion occurs at 2–3 weeks for IgM and 3–6 weeks for IgG [[15], [16], [17]]. The durability of the neutralizing antibody (especially IgG) is questionable; persistence up to 40 days from symptom onset has been described. Besides, not all patients develop neutralizing antibodies and studies have shown that 10–20% of COVID-19 patients have little or no detectable antibody [18]; the reason being unknown. Thus, humoral immunity, memory B-lymphocytes, and circulating neutralizing antibodies seem crucial for preventing reinfections in COVID-19. Diabetes mellitus (DM) is a known risk factor for severe disease and mortality in COVID-19. It is partly attributed to the dysfunctional immune system seen in patients with uncontrolled DM [19]. Both innate and adaptive arms of the immune system are compromised in DM. Hyperglycemia affects innate immunity by impeding the production of type I interferon that has antiviral properties. Hyperglycemia also impairs neutrophil chemotaxis, phagocytosis, degranulation, and oxidative burst. Defects in the adaptive immune system involve impaired T-lymphocyte function in people with uncontrolled DM [20,21]. Deficits in adaptive humoral immune response in DM are controversial; plasma immunoglobulin levels have been reported to be normal in some studies while reduced levels of IgG and IgM have been reported in others [22,23]. In addition, glycation of circulating immunoglobulins has been reported in people with DM [24]. The binding ability of glycated antibodies to their respective antigens is impaired, thereby compromising the immune response [25]. Besides, an animal model has shown that IgM producing B-1 lymphocyte function is impaired in the presence of hyperglycemia [26]. Humoral immune response and production of antigen-specific antibodies are orchestrated by B-lymphocytes. Although naïve B-lymphocytes can act as antigen-presenting cells, they require accessory signals from helper T-lymphocytes for activation into antibody-producing plasma cells [27]. Such signals include interleukins produced by helper T-lymphocytes (IL-4, IL-5, IL-6) as well as interaction between CD40L (CD40 ligand) on T-cell and CD40 on B-cell membrane (Fig. 1 ). Any abnormality in T-lymphocyte number and/or function is likely to impair B-cell activation and subsequent development of neutralizing antibodies as well. Diminished pathogen-specific memory CD4+ T-cell response had been demonstrated in people with type 2 diabetes mellitus (T2DM) in response to Streptococcus pneumoniae stimulation. The memory CD4+ T-cell response was inversely associated with fasting blood glucose and glycated hemoglobin, implying that the higher the glycemic burden, the greater is the T-cell dysfunction [21]. Impaired host defense against viral diseases due to depletion of memory CD4+ T-cells and the defective natural killer activity has also been demonstrated in type 1 diabetes mellitus (T1DM) [28]. In addition, plasma levels of sCD40L are elevated in hyperglycemic patients with T2DM that can bind to CD40 on B-cell membrane and prevent interaction between B- and T-cells [29]. Besides, hypocomplementemia seen in people with DM can further impair B-cell function and antibody generation. Genetic deficiency of C4 has been reported in 25% of patients with T1DM [28]. The possible mechanisms leading to impaired adaptive immune response in people with DM have been summarized in Table 1 . Prior studies have shown impaired antibody response in people with uncontrolled DM following influenza and hepatitis B vaccination [[30], [31], [32]]. Immunity to varicella-zoster virus is reduced in people with DM that may explain the DM-associated increased risk for developing herpes zoster [33]. However, clinicians must also be wary of the fact that SARS-CoV-2 viral clearance is delayed in people with DM and hence the chances of testing “re-positive” are expected to be higher in this subset of patients [34,35].
Fig. 1

Showing interaction between B-lymphocyte and helper T-lymphocyte. B-cell recognizes an antigen through cell surface B-cell receptor (BCR) and presents it with major histocompatibility complex class II (MHC II) protein. Antigen-MHC II complex is recognized by T-cell receptor (TCR) on helper T-cell. Subsequent activation of B-cell requires an accessory signal mediated via interaction between CD40 ligand (CD40L) on T-cell and CD40 on B-cell. In addition, interleukin 4 and 5 (IL-4/IL-5) produced by armed helper T-cell also promote B-cell activation. Activated B-cell produces antigen-specific antibodies (IgM followed by IgG). People with uncontrolled diabetes mellitus have T-cell dysfunction that can lead to impaired B-cell activation and diminished antibody production.

Table 1

Mechanisms underlying impaired adaptive immune response in people with uncontrolled diabetes mellitus.

1. Diminished pathogen-specific memory CD4+ T-cell response [21,28]
2. Impaired B-cell function as B-cells require T-cells for activation into antibody-producing plasma cells [27]
3. Reduced levels of circulating IgG and IgM [22,23]
4. Elevated plasma levels of sCD40L [29]
5. Glycation of circulating immunoglobulins [24,25]
6. Low levels of circulating complements [28]
Showing interaction between B-lymphocyte and helper T-lymphocyte. B-cell recognizes an antigen through cell surface B-cell receptor (BCR) and presents it with major histocompatibility complex class II (MHC II) protein. Antigen-MHC II complex is recognized by T-cell receptor (TCR) on helper T-cell. Subsequent activation of B-cell requires an accessory signal mediated via interaction between CD40 ligand (CD40L) on T-cell and CD40 on B-cell. In addition, interleukin 4 and 5 (IL-4/IL-5) produced by armed helper T-cell also promote B-cell activation. Activated B-cell produces antigen-specific antibodies (IgM followed by IgG). People with uncontrolled diabetes mellitus have T-cell dysfunction that can lead to impaired B-cell activation and diminished antibody production. Mechanisms underlying impaired adaptive immune response in people with uncontrolled diabetes mellitus. Zhou et al. has reported that COVID-19 patients who “relapse” after discharge are usually elderly, have poor immune function, and have more comorbidities [36]. Accordingly, multiple cases of clinical recurrences of COVID-19 and/or re-positives of SARS-CoV-2 RT-PCR have been reported in patients with DM [[3], [4], [5], [6], [7], [8]]. Amongst 61 patients who had turned re-positive after being discharged from the hospital, 5 had DM [6]. In a series of 11 patients with clinical recurrences of COVID-19 after recovery, 2 had DM, one of who did not have anti-SARS-CoV-2 antibody response even 53 days after the onset of the first episode [5]. Two preliminary studies have shown no difference in the prevalence of DM in re-positives vs. non-re-positives. However, the number of re-positives included in these two studies was only 17 and 20, respectively, hence, validated conclusions are difficult to be drawn. In addition, data on glycemic control in the cohorts were not available [8,37]. Considering the fact that adaptive immunity and immunological memory is impaired in people with uncontrolled DM, patients with poor glycemic control at the time of initial diagnosis of COVID-19 might be considered to be at a high risk of re-infections. Large-scale studies involving a significant number of patients who have had clinical recurrence and/or positive RT-PCR results after complete recovery might help resolve the issue. In addition, a comparison of neutralizing anti-SARS-CoV-2 antibody titers in COVID-19 patients with and without DM (and also between people with well-controlled and uncontrolled DM) may provide some clues. Till further data is available, it would be prudent to recommend that COVID-19 survivors with DM do not consider themselves immune and continue adhering to government advisories of social distancing, hand hygiene and ensure good glycemic control. In case of any reappearance of symptoms, a possibility of clinical recurrence should be kept and medical advice should be sought immediately.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Conflict of interest

The Authors declare that there is no conflict of interest.
  10 in total

1.  Recurrent viral RNA positivity and candidiasis findings in hospitalized patients with COVID-19.

Authors:  Malihe Naderi; Seyed Amir Soltani; Akram Taheri Rad; Zahra Mehrbakhsh; Sina Sodagar; Alireza Tahamtan; Seyedeh Sedigheh Hosseini
Journal:  Future Microbiol       Date:  2022-04-25       Impact factor: 3.553

2.  Barriers to Self-Management of Type 2 Diabetes During COVID-19 Medical Isolation: A Qualitative Study.

Authors:  Chunhong Shi; Haili Zhu; Jun Liu; Jian Zhou; Weihong Tang
Journal:  Diabetes Metab Syndr Obes       Date:  2020-10-14       Impact factor: 3.168

3.  Hospital Readmissions of Discharged Patients with COVID-19.

Authors:  Lina Marcela Parra; Mireia Cantero; Ignacio Morrás; Alberto Vallejo; Itziar Diego; Elena Jiménez-Tejero; Elena Múñez; Ángel Asensio; Ana Fermández-Cruz; Antonio Ramos-Martinez
Journal:  Int J Gen Med       Date:  2020-12-02

4.  Postconvalescent SARS-CoV-2 IgG and Neutralizing Antibodies are Elevated in Individuals with Poor Metabolic Health.

Authors:  Sabrina E Racine-Brzostek; He S Yang; Gwendolyne A Jack; Zhengming Chen; Amy Chadburn; Thomas J Ketas; Erik Francomano; P J Klasse; John P Moore; Kathleen A McDonough; Roxanne C Girardin; Alan P Dupuis; Anne F Payne; Lucy X Ma; Jacob Sweeney; Elaine Zhong; Jim Yee; Melissa M Cushing; Zhen Zhao
Journal:  J Clin Endocrinol Metab       Date:  2021-04-23       Impact factor: 5.958

Review 5.  Immune Response to SARS-CoV-2 Infection in Obesity and T2D: Literature Review.

Authors:  Jorge Pérez-Galarza; César Prócel; Cristina Cañadas; Diana Aguirre; Ronny Pibaque; Ricardo Bedón; Fernando Sempértegui; Hemmo Drexhage; Lucy Baldeón
Journal:  Vaccines (Basel)       Date:  2021-01-29

6.  Robust Antibody Levels in Both Diabetic and Non-Diabetic Individuals After BNT162b2 mRNA COVID-19 Vaccination.

Authors:  Hamad Ali; Abdulmohsen Alterki; Sardar Sindhu; Barrak Alahmad; Maha Hammad; Salman Al-Sabah; Mohammad Alghounaim; Mohammad H Jamal; Ali Aldei; Mohammad J Mairza; Maitham Husain; Sriraman Deverajan; Rasheed Ahmad; Preethi Cherian; Irina Alkhairi; Abdullah Alkandari; Jehad Abubaker; Mohamed Abu-Farha; Fahd Al-Mulla
Journal:  Front Immunol       Date:  2021-11-24       Impact factor: 7.561

Review 7.  Therapeutic Screening of Herbal Remedies for the Management of Diabetes.

Authors:  Mahmoud Balbaa; Marwa El-Zeftawy; Shaymaa A Abdulmalek
Journal:  Molecules       Date:  2021-11-12       Impact factor: 4.411

8.  Elevated levels of fructosamine are independently associated with SARS-CoV-2 reinfection: A 12-mo follow-up study.

Authors:  Xiao-Yan Huang; Li-Juan Yang; Xiang Hu; Xing-Xing Zhang; Xiao Gu; Lin-Jia Du; Zhi-Ying He; Xue-Jiang Gu
Journal:  World J Diabetes       Date:  2022-07-15

Review 9.  Reinfection and reactivation of SARS-CoV-2.

Authors:  Razieh Dowran; Amirmasoud Rayati Damavandi; Talat Mokhtari Azad
Journal:  Future Virol       Date:  2022-09-26       Impact factor: 3.015

10.  Smoking Status and Factors associated with COVID-19 In-Hospital Mortality among US Veterans.

Authors:  Javad Razjouyan; Drew A Helmer; Kristine E Lynch; Nicola A Hanania; Paul E Klotman; Amir Sharafkhaneh; Christopher I Amos
Journal:  Nicotine Tob Res       Date:  2022-03-26       Impact factor: 4.244

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.