Literature DB >> 32851102

Upregulation of FOXO3 in New-Onset Type 1 Diabetes Mellitus.

Magdalena Zurawek1, Marta Fichna2, Piotr Fichna3, Maria Czainska4, Natalia Rozwadowska1.   

Abstract

Forkhead box O (FOXO) transcription factors have been implicated in the development and differentiation of the immune cells. FOXO3 plays a crucial role in physiologic and pathologic immune response. FOXO3, cooperatively with FOXO1, control the development and function of Foxp3+ regulatory T cells (Treg). Since the lack of Treg-mediated control has fundamental impact on type 1 diabetes mellitus (T1DM) development, we investigated FOXO3 expression in patients with T1DM. FOXO3 expression was estimated in peripheral blood mononuclear cells (PBMCs) from newly diagnosed T1DM pediatric patients (n = 28) and age-matched healthy donors (n = 27) by reahavel-time PCR and TaqMan gene expression assays. Expression analysis revealed significant upregulation of FOXO3 in T1DM (P = 0.0005). Stratification of the T1DM group according to the presence of initial diabetic ketoacidosis (DKA) did not indicate differences in FOXO3 expression in patients with DKA compared to a mild T1DM onset (P > 0.05). In conclusion, overexpression of FOXO3 is correlated with the ongoing islet autoimmune destruction and might suggest a potential role for this gene in the pathogenesis of type 1 diabetes mellitus.
Copyright © 2020 Magdalena Zurawek et al.

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Year:  2020        PMID: 32851102      PMCID: PMC7441418          DOI: 10.1155/2020/9484015

Source DB:  PubMed          Journal:  J Immunol Res        ISSN: 2314-7156            Impact factor:   4.818


1. Introduction

FOXO3 (forkhead box O3) protein belongs to the family of transcription factors included withal FOXO1, FOXO4, and FOXO6. FOXO3 is regulated via the phosphoinositide 3-kinase (PI3K)/serine/threonine-specific kinase (Akt) signaling pathway [1]. The active, nonphosphorylated FOXO3 form is localized in the nucleus and regulates gene transcription. Phosphorylation of FOXO3 in the PI3K/Akt pathway results in its exclusion from the nucleus and termination of transcriptional activity [2]. FOXO3 has been implicated in the regulation of diverse biological processes, including cell survival, proliferation, and apoptosis [3]. FOXO3 is expressed in immune cells, and recently, there has been a surge in interest to investigate the importance of FOXO3 in lymphoid homeostasis [4-6]. Upregulation of FOXO3 was observed in polymorphonuclear cells and peripheral blood mononuclear cells from patients with rheumatoid arthritis [7]. Overexpression of FOXO3 is mediated by T cell receptor stimulation [8]. In consequence, FOXO3 promotes polarization of CD4+ T cells towards the pathogenic T helper cells producing interferon γ and granulocyte monocyte colony-stimulating factor. FOXO3−/− mice exhibit reduced susceptibility to experimental autoimmune encephalomyelitis [8]. In this study, we investigate the expression level of FOXO3 in PBMCs from newly diagnosed type 1 diabetes mellitus pediatric patients. Upregulation of FOXO3 was observed in the T1DM group compared to the age-matched healthy controls—a finding that might suggest a potential role of this gene in autoimmunity.

2. Study Groups

The qRT-PCR of FOXO3 gene was conducted in 28 newly diagnosed T1DM subjects (mean age ± SD 11.2 ± 3.3 years, 4 females (14%), 24 males (86%)) and 27 age-matched healthy donors (mean age ± SD 10.8 ± 3.9 years, 13 (48%) females, 14 (52%) males). Patients were recruited at the Department of Paediatric Diabetes and Obesity, Poznan University of Medical Sciences. The diagnosis of diabetes was based upon the WHO criteria. Autoimmune origin of the disease was confirmed by positive serum autoantibodies to insulin (IAA) and/or glutamic acid decarboxylase (GADA) and/or islet antigen-2 (IA-2A). Clinical characterization of patients is summarized in Table 1. Pediatric control individuals with negative personal and family history of autoimmunity and no clinical signs of the autoimmune disorders were obtained from an outpatient pediatric practice in the course of routine screening. Only subjects with no clinical symptoms of hyperglycemia and fasting blood glucose within the reference range (≤5.5 mmol/l) were included in the control group.
Table 1

Clinical characteristics of type 1 diabetes patients.

Clinical featuresT1DSevere T1D onsetMild T1D onset
n = 28 (%) n = 12 (%) n = 16 (%)
Gender, F/M4/24
Age (y)11.21 ± 3.3311.33 ± 3.6311.63 ± 3.18
BMI (kg/m2)17.33 ± 3.0517.31 ± 3.1817.62 ± 3.09
HbA1c (%)10.66 ± 1.6710.59 ± 1.1511.16 ± 1.86
C peptide (nmol/l)0.30 ± 0.080.27 ± 0.90.32 ± 0.08
25-OH-D (ng/ml)18.19 ± 7.6813.98 ± 3.27∗∗21.73 ± 8.76
DKA12 (43)12 (100)16 (0)
IAA7 (25)3 (25)4 (25)
GADA21 (75)9 (75)12 (75)
IA2A23 (82)11 (92)12 (75)

BMI: body mass index; HbA1c: glycated haemoglobin A1c; 25-OH-D: 25-hydroxyvitamin D; DKA: diabetic ketoacidosis; IAA: antibodies to insulin; GADA: antibodies to glutamic acid decarboxylase; IA2A: antibodies to islet antigen-2; clinical features presented as †mean ± standard deviation; ‡number of subjects (%); ∗∗P < 0.01, P values estimated by unpaired t-test, severe T1D onset vs. mild T1D onset subgroup.

3. Methods

3.1. FOXO3 Expression Analysis

FOXO3 expression was assessed in PBMCs isolated from the peripheral blood (4 ml for each subject) by density gradient centrifugation in Histopaque-1077 (Sigma Aldrich, Germany). Total RNA was extracted with a TRI Reagent (Sigma Aldrich, Germany) following the manufacturer's protocol. The equal amount of RNA (500 ng per sample) was converted to cDNA using a QuantiTect Reverse Transcription Kit (QIAGEN, Germany). A quantitative real-time PCR using an aliquot of cDNA equivalent of 5 ng total RNA, TaqMan gene expression assay (Applied Biosystems, Thermo Fisher Scientific, USA), and HOT FIREPol Probe Universal qPCR Mix (Solis BioDyne, Estonia) was performed in a total volume of 15 μl on a BioRad CFX96 Real-Time PCR instrument (BioRad Laboratories, CA, USA). All reactions were run in triplicate. The expression level of FOXO3 (assay ID Hs00818121_m1) was normalized to beta-2 microglobulin housekeeping gene (assay ID Hs00984230_m1). Mean cycle threshold (Ct) values were estimated with BioRad CFX Manager 3.1 software. Relative expression levels were calculated using the 2− formula. Statistical analysis was performed using GraphPad Prism 5 (GraphPad Software Inc., CA, USA). Statistical significance of the differences between relative expression levels was determined with an unpaired t-test. P values < 0.05 were considered statistically significant.

4. Results and Discussion

Type 1 diabetes mellitus is an autoimmune disorder that results from the lack of endogenous insulin secretion from the pancreatic beta cells. Although T-mediated destruction of beta cells is observed, the precise etiology and pathological mechanisms are still poorly understood. Genetic predisposition and environmental factors contribute to the development of type 1 diabetes mellitus [9]. HLA locus, specifically the haplotypes DRB1∗03-DQA1∗05-DQB1∗02 (DR3-DQ2) and DRB1∗04-DQA1∗03-DQB1∗03:02 (DR4-DQ8) are major genetic risk factors [10]. To date, around 60 non-HLA T1DM susceptibility loci have been identified, mostly related to immune response, for instance, genes encoding lymphocyte protein tyrosine phosphatase (PTPN22), cytotoxic T-lymphocyte protein 4 (CTLA4), subunit alpha of the interleukin-2 receptor (IL2RA), and interferon-induced helicase C domain-containing protein 1 (IFIH1) [11-13]. Our previous study indicated FOXO3 as a potential target for miR-487a-3p, which is upregulated in T1DM [14]. These results prompted us to investigate the FOXO3 expression in type 1 diabetes mellitus patients. In order to reduce the interference of the initial metabolic status, PBMCs were collected from patients with normalized ketonaemia and glycemia and fully rehydrated. In addition, T1DM patients and control subjects included in the study did not present infection symptoms, confirmed by negative inflammatory tests (complete blood count, C-reactive protein tests). The type 1 diabetes mellitus group was further stratified according to the presence or absence of diabetic ketoacidosis (DKA) at initial presentation, which reflects severe and moderate disease onsets, respectively. Expression analysis revealed significant upregulation of FOXO3 in the new-onset T1DM group compared to the age-matched healthy controls (Figure 1). However, we did not observe statistically significant differences in FOXO3 expression in patients with DKA compared to the mild T1DM onset group (Figure 1). Consequently, FOXO3 expression is correlated with the ongoing autoimmune islet destruction, although not with the severity of the autoimmune process. A current study failed to confirm the previous global expression analysis of PBMCs from children with newly diagnosed type 1 diabetes mellitus (GEO DataSets, Accession GDS3875) [15]. The microarray analysis did not reveal dysregulation of FOXO3 in the group of T1DM patients at one month and at four months after diagnosis [15].
Figure 1

FOXO3 expression analysis in type 1 diabetes. (a) FOXO3 is overexpressed in the type 1 diabetes group compared to healthy controls (∗∗∗P = 0.0005, mean fold change 1.54). (b) Expression level of FOXO3 gene in the T1D group stratified according to the presence of initial diabetic ketoacidosis (DKA). The patients with diabetic ketoacidosis did not present statistically significant differences in FOXO3 expression compared to the patients without DKA (P > 0.05). Horizontal lines indicate median with range; asterisks indicate significance, with P values estimated by unpaired t-test; T1D: type 1 diabetes patients; C: controls; DKA(+): cohort of patients with initial diabetic ketoacidosis; DKA(-): cohort of patients without initial diabetic ketoacidosis.

Based on our previous study, we hypothesized that overexpression of miR-487a-3p in T1DM might result in downregulation of FOXO3 and hence affect the immune function. Current results imply that FOXO3 is apparently not regulated via miR-487a-3p; however, additional in vitro study is needed to explore the manner of FOXO3 regulation. Yang et al. have demonstrated the mechanisms protecting FOXO3 from being targeted by certain miRNAs [16]. The Foxo3 pseudogene (Foxo3P) and the Foxo3 circular RNA (circ-Foxo3) act as a sponge and bind several miRNAs, including miR-22, miR-136, miR-138, miR-149, miR-433, miR-762, miR-3614-5p, and miR-3622b-5p. Subsequently, Foxo3P and circ-Foxo3 ensure FOXO3 gene expression and protein activity.

5. Conclusion

Overexpression of FOXO3 in type 1 diabetes mellitus might suggest a potential role of this gene in the development of autoimmune disease. Further in vitro and ex vivo functional studies will address the issue of FOXO3 contribution to immune tolerance dysregulation.
  16 in total

Review 1.  The many forks in FOXO's road.

Authors:  Hien Tran; Anne Brunet; Eric C Griffith; Michael E Greenberg
Journal:  Sci STKE       Date:  2003-03-04

2.  Association of the T-cell regulatory gene CTLA4 with susceptibility to autoimmune disease.

Authors:  Hironori Ueda; Joanna M M Howson; Laura Esposito; Joanne Heward; Hywel Snook; Giselle Chamberlain; Daniel B Rainbow; Kara M D Hunter; Annabel N Smith; Gianfranco Di Genova; Mathias H Herr; Ingrid Dahlman; Felicity Payne; Deborah Smyth; Christopher Lowe; Rebecca C J Twells; Sarah Howlett; Barry Healy; Sarah Nutland; Helen E Rance; Vin Everett; Luc J Smink; Alex C Lam; Heather J Cordell; Neil M Walker; Cristina Bordin; John Hulme; Costantino Motzo; Francesco Cucca; J Fred Hess; Michael L Metzker; Jane Rogers; Simon Gregory; Amit Allahabadia; Ratnasingam Nithiyananthan; Eva Tuomilehto-Wolf; Jaakko Tuomilehto; Polly Bingley; Kathleen M Gillespie; Dag E Undlien; Kjersti S Rønningen; Cristian Guja; Constantin Ionescu-Tîrgovişte; David A Savage; A Peter Maxwell; Dennis J Carson; Chris C Patterson; Jayne A Franklyn; David G Clayton; Laurence B Peterson; Linda S Wicker; John A Todd; Stephen C L Gough
Journal:  Nature       Date:  2003-04-30       Impact factor: 49.962

Review 3.  FOXO transcription factors as regulators of immune homeostasis: molecules to die for?

Authors:  Kim U Birkenkamp; Paul J Coffer
Journal:  J Immunol       Date:  2003-08-15       Impact factor: 5.422

Review 4.  Genetics, pathogenesis and clinical interventions in type 1 diabetes.

Authors:  Jeffrey A Bluestone; Kevan Herold; George Eisenbarth
Journal:  Nature       Date:  2010-04-29       Impact factor: 49.962

5.  miR-487a-3p upregulated in type 1 diabetes targets CTLA4 and FOXO3.

Authors:  Magdalena Zurawek; Agnieszka Dzikiewicz-Krawczyk; Katarzyna Izykowska; Iwona Ziolkowska-Suchanek; Bogda Skowronska; Maria Czainska; Marta Podralska; Piotr Fichna; Grzegorz Przybylski; Marta Fichna; Jerzy Nowak
Journal:  Diabetes Res Clin Pract       Date:  2018-05-31       Impact factor: 5.602

6.  Foxo3 activity promoted by non-coding effects of circular RNA and Foxo3 pseudogene in the inhibition of tumor growth and angiogenesis.

Authors:  W Yang; W W Du; X Li; A J Yee; B B Yang
Journal:  Oncogene       Date:  2015-12-14       Impact factor: 9.867

7.  Foxo3 Transcription Factor Drives Pathogenic T Helper 1 Differentiation by Inducing the Expression of Eomes.

Authors:  Caroline Stienne; Michaël F Michieletto; Mehdi Benamar; Nadège Carrié; Isabelle Bernard; Xuan-Hung Nguyen; Yannick Lippi; Fanny Duguet; Roland S Liblau; Stephen M Hedrick; Abdelhadi Saoudi; Anne S Dejean
Journal:  Immunity       Date:  2016-10-11       Impact factor: 31.745

8.  A functional variant of lymphoid tyrosine phosphatase is associated with type I diabetes.

Authors:  Nunzio Bottini; Lucia Musumeci; Andres Alonso; Souad Rahmouni; Konstantina Nika; Masoud Rostamkhani; James MacMurray; Gian Franco Meloni; Paola Lucarelli; Maurizio Pellecchia; George S Eisenbarth; David Comings; Tomas Mustelin
Journal:  Nat Genet       Date:  2004-03-07       Impact factor: 38.330

9.  FOXO3 regulates CD8 T cell memory by T cell-intrinsic mechanisms.

Authors:  Jeremy A Sullivan; Eui Ho Kim; Erin H Plisch; Stanford L Peng; M Suresh
Journal:  PLoS Pathog       Date:  2012-02-16       Impact factor: 6.823

10.  Shared and distinct genetic variants in type 1 diabetes and celiac disease.

Authors:  Deborah J Smyth; Vincent Plagnol; Neil M Walker; Jason D Cooper; Kate Downes; Jennie H M Yang; Joanna M M Howson; Helen Stevens; Ross McManus; Cisca Wijmenga; Graham A Heap; Patrick C Dubois; David G Clayton; Karen A Hunt; David A van Heel; John A Todd
Journal:  N Engl J Med       Date:  2008-12-10       Impact factor: 91.245

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Review 1.  Mechanistic insights into the role of FOXO in diabetic retinopathy.

Authors:  Tapan Behl; Muskan Wadhwa; Aayush Sehgal; Sukhbir Singh; Neelam Sharma; Saurabh Bhatia; Ahmed Al-Harrasi; Lotfi Aleya; Simona Bungau
Journal:  Am J Transl Res       Date:  2022-06-15       Impact factor: 3.940

Review 2.  FoxO Transcription Factors: Applicability as a Novel Immune Cell Regulators and Therapeutic Targets in Oxidative Stress-Related Diseases.

Authors:  Mi Eun Kim; Dae Hyun Kim; Jun Sik Lee
Journal:  Int J Mol Sci       Date:  2022-10-06       Impact factor: 6.208

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