The significance of Th1,Th2,Th17and treg cells in the prediction and evaluation of ulcerative colitis

Abstract

Objective

This study aimed to investigate clinical significance of Th1, Th2, Th17 and Tregs proportions in predicting and evaluating UC.

Methods

A total of 101 UC patients diagnosed by the Department of Gastroenterology of the Shanxi Provincial People’s Hospital were recruited. This is a retrospective study. The proportions of Th1, Th2, Th17 and Tregs in the peripheral blood were detected by flow cytometry.

Results

The proportions of Th1, Th2 and Th17 cell in UC patients were higher than healthy controls (p < 0.001); The area under the curve (AUC) values of Th1, Th1/Treg and Th17/Treg were all >0.900 in predicting UC (p < 0.001), with the cut off values being 15.25%, 4.885 and 0.425, respectively. In addition, Th1, Th17, Treg, Th17/Treg, Th2/Treg, Th1/Treg and Th17/Treg were statistically significant among the mild to severe group (p < 0.05). The percentage of Treg cells was negatively correlated with Mayo Score, while the percentages of Th17 cell, Th17/Treg, Th1/Treg, Th2/Treg were positively correlated with Mayo score (p < 0.05). Notably, Th17/Treg was closely related to Mayo score (r = 0.513, p < 0.001).

Conclusions

The dysregulation of Th1, Th2, Th17 and Tregs is a significant phenomena of immune disorder in UC, and these auxiliary indicators correlate with increased disease severity. The analysis of Th1, Th2, Th17 and Tregs possesses certain clinical significance in the prediction and evaluation of UC.

Keywords

Ulcerative colitis Th1 Th2 Th17 Tregs Disease severity

Introduction

Ulcerative colitis (UC) is a chronic relapsing inflammatory bowel disease (IBD) characterized by abdominal pain, rectal bleeding, and diarrhoea. Its histopathological characteristics include inflammatory cell infiltration, crypt abscess, crypt structure change, erosion, ulcer and other pathological changes.¹ Nowadays, with the change of people’s lifestyle, the prevalence of UC is increasing.² It is currently accepted that the pathogenesis of UC is influenced by multiple risk factors such as genetic susceptibility, intestinal flora imbalance, dysregulated immune function and environmental factors.³ Although the pathogenesis of UC is still unknown, the current study found that the intestinal cellular immune dysfunction is a central part of the UC patients, especially the T lymphocyte subsets in dysfunctional immune cells play an important role in the immunological pathogenesis of UC.⁴ The existing treatment for IBD patients include salicylic acid preparations, glucocorticoids, biological agents, fecal bacteria transplantation, and surgical resection. UC patients benefiting from these treatment also need to monitor themselves for symptoms in order to get timely and proper treatment.⁵ However, the diagnosis of UC disease depends on histopathological observation, but such pathological examination is not perfect. In addition to the characteristics of UC disease recurrence, we still need to explore reliable auxiliary indicators for the diagnosis and evaluation of UC disease.

Currently, few studies have reported T lymphocyte subsets clinical application in UC.Therefore, our case–control study focused on exploring the potential application of T lymphocyte subsets in UC patients, in hope of providing reference for clinical prediction and assessment of the disease.

Methods

Subjects

Patients were enrolled between 2020 and 2022 at the Department of Gastroenterology in the Shanxi Provincial People’s Hospital. This is a retrospective study, the study cohort included 101 patients with UC and 34 healthy controls (HC). Montreal classification was used for the lesion scope of UC.⁶ Mayo Score was used to evaluate the disease activity of UC, with 3–5′ standing for mild activity, 6–10′ for moderate activity and 11–12′ for severe activity.⁷ We applied Chinese Consensus on Diagnosis and Treatment of Inflammatory Bowel Disease (2018 Beijing) as the diagnostic criteria. Inclusion criteria include: (1) the symptoms and pathological examination results of the patients were consistent with the diagnostic criteria⁸; Exclusion criteria: (1) the cohort had history of the following diseases: rheumatoid arthritis, intestinal tuberculosis, Crohn’s disease, infectious diseases and malignancies; (2) the cohort failed to undergo surgery recently or use immunosuppressive drugs, such as glucocorticoid, biologics, JAK inhibitor and so on. Baseline characteristics of UC patients are shown in (Table 1).

Table 1.

Baseline UC patients characteristics.

	Mild UC (21cases)	Moderate UC (45cases)	Severe UC (35cases)	Healthy control (34cases)	Statistic	p-value
Male, n (%)^a	11 (52.38%)	23 (51.11%)	26 (74.29%)	18 (52.94%)	5.306	0.151
Age (yr, $\bar{x} \pm s$ )^b	46.90±13.10	46.40±12.68	49.63±12.93	44.18±12.53	0.906	0.440
BMI^b	22.93±2.53	21.94±2.91	21.43±3.31	23.01±2.32	2.294	0.081
Smoking^a	19 (90.48%)	8 (17.78%)	13 (37.14%)	9 (26.47%)	34.765	<0.001
Drinking^a	3 (14.29%)	5 (11.11%)	12 (34.29%)	14 (35.29%)	12.207	0.007
Course (mo, (P₂₅∼P₇₅))^c	64.24 (24–96)	65.51 (24–84)	78.37 (12–132)	None	0.343	0.842
Location
E1:ulcerative proctitis (n (%))^a	10 (47.62%)	3 (6.67%)	2 (5.71%)	None	22.525	<0.001
E2:left-sided UC (n (%))^a	5 (23.81%)	18 (40.00%)	1 (2.86%)	None	14.993	0.001
E3:extensive UC (n (%))^a	6 (28.57%)	24 (53.33%)	32 (91.43%)	None	24.098	<0.001

^aA Chi-square test was used to analyze the differences between different groups, and the test statistic was X² value.

^bANOVA was used to analyze the differences among different groups, and the test statistic was F value; The kruskal-wallis H test was used to analyze the differences among different groups, and the test statistic was H value.

Monoclonal antibodies and flow cytometry

FITC-conjugated anti-CD4, PE-conjugated anti-CD25, Alexa Fluor 647 Mouse anti-Human CD127, Anti-Human IFN-γAPC, Anti-Human IL-4 PE, Anti-Human IL-17A PE. T helper (Th) cells (Th1, Th2 and Th17), and regulatory T cells (Tregs) were detected in 101 UC patients and 34 healthy controls. Meanwhile, a negative control group was set during the experiment. Stained cell suspension was used for the analysis of flow cytometry (FACSCanto, BD Biosciences).

Statistical analysis

Measurement data conforming to normal distribution were expressed as mean ± standard deviation. T-test or analysis of variance was used to compare data between groups. Measurement data with non-normal distribution were expressed as median with interquartile range (IQR) The Mann–Whitney U test was used for comparison between continuous variables of two independent groups, whereas the Kruskal-Wallis H test was used for comparison of multiple independent samples. The number of use cases and constituent ratio of count data were described and compared between groups by chi-square test. Receiver Operating Characteristic curve was used to analyze T lymphocyte subsets to predict UC. Spearman correlation analysis was used to analyze the correlation between modified Mayo score and T lymphocyte subsets. All statistical analyses were performed using SPSS version 23.0 software (IBM Corporation, USA). p < 0.05 was considered to be statistically significant.

Ethics

The study protocol was approved by research ethics committee of the Shanxi Province People’s Hospital. (Ethical Application Ref: 2021–18).

Results

Patient characteristics

Baseline characteristics of all UC patients are presented in Table 1. Among mild, moderate and severe UC groups, there was no significant difference in the basic clinical characteristics, whereas there were differences in the location, drinking and smoking.

Flow cytometry of treg cells was selected as a representative diagram

In this paper, take Treg cells in UC patients was used as an example.Flow cytometry was used to detect the proportion of UC peripheral blood Treg cells in T lymphocytes. Figure 1(a): CD3 + T lymphocytes were mainly screened, Figure 1(b): CD4 + T lymphocytes were mainly screened, Figure 1(c): Treg cells were mainly selected and the percentage of Treg cells in T cells is calculated by computer. Schematic diagrams of screened Treg cells shows in Figure 1(a–c).

Figure 1.

FSC-A: Forward Scatter Area; SSC-A: Side Scatter Area; FITC: Fluorescein isothiocyanate; APC: Allophycocyanin; PE: Phycoerythrin.

Comparison of lymphocyte subsets in peripheral blood between UC patients and healthy controls

The percentages of Th1 (24.49 ± 10.27%), Th2 (3.41 ± 2.07%), and Th17 cells (3.10 ± 1.94%) and the ratios of Th1/Th2 (10.14 ± 7.55), Th1/Treg (9.65 ± 6.19), Th2/Treg (1.27 ± 1.04) and Th17/Treg (1.18 ± 1.07) of the study group were higher than those of healthy controls (p < 0.05), while the percentage of Treg cells (3.21 ± 1.43%) in study group was lower than that in control group (p < 0.001) (Figure 2(a),(b)).

Figure 2.

UC group versus HC group, **<0.001; *<0.05

(Receiver Operating Characteristic, ROC) curve analysis of T lymphocyte subsets in predicting UC

The AUC values of Th1, Th1/Treg and Th17/Treg were all >0.900 (p < 0.001), and the cut off values were 15.25%, 4.885 and 0.425, respectively. The AUC of combined detection was 0.892 (p < 0.001) (Table 2).

Table 2.

ROC curve analysis of T lymphocyte subsets in predicting UC.

	AUC	p value	Cut off value
Th1	0.921	<0.001	15.25%
Th2	0.785	<0.001	2.95%
Th17	0.874	<0.001	1.95%
Th1/Treg	0.933	<0.001	4.885
Th2/Treg	0.849	<0.001	0.485
Th17/Treg	0.923	<0.001	0.425
Combined testing	0.892	<0.001	—

Analysis of lymphocyte subsets in UC patients with different disease activity

As compared to the mild-moderate UC group, the ratio of Th2/Treg (1.94 ± 1.31) and that of Th17/Treg (1.83 ± 1.39) were higher in the severe UC group. Relative to the mild UC group, the severe UC group had a higher percentage of Th17 cells (4.17 ± 2.36%) but a lower percentage of Treg cells (2.63 ± 1.39%) (p < 0.05). The percentage of Th1 cells and the ratio of Th1/Treg in moderate to severe UC group were higher than those in mild UC group (p < 0.05) (Figure 3(a),(b)).

Figure 3.

Mild UC versus Moderate UC versus Severe UC,**<0.001; *<0.05.

Correlation analysis between T lymphocyte subsets and Mayo score

Th17, Th17/Treg, Th1/Treg, and Th2/Treg were positively correlated with Mayo score (p < 0.001), and Th17/Treg was strongly correlated with Mayo score (r = 0.513, p < 0.001). The results are shown in Table 3.

Table 3.

Correlation analysis between Th1, Th2, Th17,Tregs and Mayo score.

	Th17	Treg	Th17/Treg	Th1	Th1/Treg	Th2/Treg
r	0.415	−0.337	0.513	0.171	0.339	0.390
p value	<0.001	0.001	<0.001	0.088	0.001	<0.001

Discussion

IBD is a recurrent chronic inflammatory bowel disease including UC and Crohn’ s disease. Its occurrence and development is generally considered to correlate strongly with the abnormalities of the autoimmune system. T lymphocyte subsets help the gastrointestinal tract maintain a delicate balance between tolerance to content and immunity to pathogens. The proportion of CD4⁺ and CD8⁺ T lymphocytes were increased in peripheral blood of IBD patients, and CD4⁺ T lymphocytes are considered to be the key factor mediating host protection and homeostasis. Nevertheless, overactivation of CD4⁺ T lymphocytes could lead to insufficient host defense against pathogens, thus resulting in chronic inflammation.^9,10

Regulatory T cells typically express Forkheadbox protein 3, which are key in maintaining immune tolerance, especially in maintaining tolerance to symbiotic intestinal bacteria and food antigens. Zhou L ¹¹ et al. found that Bifidobacterium infantis can alleviate intestinal epithelial injury and maintain intestinal immune tolerance by regulating characteristic proteins on the surface of Treg cells and upregulating the expression of anti-inflammatory factors such as interleukin-10 and transforming growth factor-β1. In our study, Th1, Th2, Treg and Th17 cells represented the major unbalanced T lymphocyte subsets. Tumor necrosis factor (TNF-α) and Interferon-γ (IFN-γ) are cytokines secreted by Th1 cells, which activate macrophages and CD8⁺ cytotoxic T lymphocytes, respectively, and thus promote the elimination of intracellular pathogens.¹² Th2 cells orchestrate protective type 2 immune responses, but also contribute to chronic inflammatory diseases and facilitate tissue repair. IL-4 is closely related to the formation and differentiation of Th2 cells, and its expression level in peripheral blood of UC patients is higher than that of normal controls.¹³ Additionally, Th17 cells play a crucial role in the skin and intestinal mucosa as a barrier against bacteria and fungi, Th17 cells is an important driver of autoimmune diseases.The function of Th17 cells is primarily determined by their ability to express IL-17, in the expression of serum IL-17 in UC patients is significantly increased.¹⁴ Salas et al.¹⁵ found that Th17 cells that can produce interleukin-17A proliferate in the intestinal tract of UC patients, triggering and aggravating inflammatory reactions, which is consistent with our findings. The lymphoid subsets analysis of UC patients with varying degrees of disease activity showed that in moderate to severe UC patients, the level of Treg was significantly decreased, and the ability of Treg to maintain the body’s immune tolerance to autoantigens was also decreased. Furthermore, Himme et al.¹⁶ found in their study that Tregs in inflammatory tissues are more prone to apoptosis, and their regulatory function in immune tolerance is further impaired. Therefore, in the inflammatory state, Treg cells are damaged in both number and function, and thus further affect the progression of inflammation. In our study, the imbalance of Th1, Th2, Th17 and Treg cells is more remarkable in severe patients, and the significance value of T lymphocyte subsets in the evaluation of UC disease needs to be further clarified. Our study analyzed the significance of immune cells in peripheral blood in UC. Some studies indicate that the disturbed dynamics of circulating IL-17A+ and IFN-γ+ T-cell pools may be involved in the extraintestinal autoimmune manifestations associated with celiac disease.¹⁷ It demonstrated that andrographis paniculata have inhibitory effects on Th1/Th17 responses and the promoting effects on Th2 responses of andrographolide.¹⁸ In addition, their study also included UC patients who were not formally treated at the stage of inflammatory activity, excluding those who used biologics, immunosuppressants and other drugs that may affect immune function.Those naïve patients will show the true character of UC T lymphocyte subsets, but the influence of therapeutic drugs on lymphocyte subsets still requires further exploration.In our study, blood examples of patients with ulcerative colitis were studied, the changes of peripheral blood lymphocytes can reflect the degree of intestinal lesions,and the relationship between intestinal lymphocytes and peripheral blood lymphocytes needs to be further explored.Some studies indicates that the infiltration of immune cells in mucosal tissues and the immune disorder mediated by CD4 + T cells are important pathological features of IBD.^19,20 And the predominant gut-infiltrting CD4 + T cell populations in IBD are Th1 cells,Th2 cells,Th17 cells.²¹ However,the numbers of immnue-suppressing cells is insufficient, such as Treg cells.²² Combined with our study, the changes in the number of intestinal lymphocytes and peripheral lymphocytes were consistents,and the intestinal lymphocytes and peripheral blood lymphocytes were transformed dynamically under the condition of inflammation.

At present, research on the pathogenesis of UC and existing treatment modalities has made progress. According to the characteristics of chronic recurrence of UC disease, however, both the evaluation indicators of predicting the disease change and therapeutic efficacy still need to be improved. The Mayo score is an important indicator widely used to assess disease activity. In the study, Treg cells were negatively correlated with Mayo score, whereas Th17, Th17/Treg, Th1/Treg, and Th2/Treg were positively correlated with the modified Mayo score (p < 0.05). In addition, Th17/Treg had a good correlation with the modified Mayo score (r = 0.513, p < 0.001), and thus can be used as an index to observe the change in patients' condition.

However,in terms of research limitations, This is a single-center study with a limited number of samples,and the samples in this study are only blood samples. In the future, multi-center, large sample, blood samples and intestinal mucosal tissue should be studied simultaneously to further clarify the relationship between intestinal lymphocytes and peripheral lymphocytes.

In conclusion, the imbalance of T lymphocyte subsets, especially Th1, Th17 and Treg cells contribute to the immune dysfunction of UC patients.There is a close relationship between Th17/Treg and the degree of intestinal injury in UC patients. The detection of Th17 and Treg cells has good clinical significance in the diagnosis and evaluation of UC.

Conclusion

Supplemental Material

Supplemental Material - The significance of Th1,Th2,Th17and treg cells in the prediction and evaluation of ulcerative colitis

Supplemental Material for The significance of Th1,Th2,Th17and treg cells in the prediction and evaluation of ulcerative colitis by Yu Zhang, Wei Shi, GaiGai Cao, Jingru Li, Haijiao Wang, and Chonghua Hao in European Journal of Inflammation

Footnotes

Author contributions

YZ and WS carried out conception and design of the study. YZ contributed to acquisition of data. GC, JL, HW contributed to analysis of data. YZ wrote the manuscript. CH revised it critically for important intellectual content. All authors read and approved the final submitted manuscript.

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by Health Commission of Shanxi Province (NO:2020032).

Ethical approval

Ethical approval for this study was obtained from * ETHICS COMMITTEE OF THE SHANXI PROVINCE PEOPLE’S HOSPITAL (APPROVAL NUMBER202118)*.

Informed consent

Written informed consent was obtained from all subjects before the study.

ORCID iD

Chonghua Hao

Supplemental Material

Supplemental material for this article is available online.

References

Feakins

(2014) Ulcerative colitis or crohn’s disease? Pitfalls and problems. Histopathology 64(3): 317–335.

Molodecky

Soon

Rabi

, et al. (2012) Increasing incidence and prevalence of the inflammatory bowel diseases with time, based on systematic review. Gastroenterology 42(1): 46–54.

Ananthakrishnan

(2015) Epidemiology and risk factors for IBD. Nature Reviews. Gastroenterology and Hepatology 12(4): 205–217.

Rovedatti

Kudo

Biancheri

, et al. (2009) Differential regulation of interleukin 17 and interferon gamma production in inflammatory bowel disease. Gut 58(12): 1629–1636.

Ungaro

Mehandru

Allen

, et al. (2017) Ulcerative colitis. The Lancet 389(10080): 1756–1770.

Satsangi

Silverberg

Vermeire

, et al. (2006) The montreal classification of inflammatory bowel disease: Controversies, consensus, and implications Gut 55(6): 749–753.

D'Haens

Sandborn

Feagan

, et al. (2007) A review of activity indices and efficacy end points for clinical trials of medical therapy in adults with ulcerative colitis. Gastroenterology 132(2): 763–786.

Inflammatory Bowel Disease Group, Chinese Society of Gastroenterology, Chinese Medical Association (2018) Chinese consensus on diagnosis and treatment of inflammatory bowel disease (Beijing, 2018). Chinese Journal of Practical Internal Medicine 38(05): 292–311.

Funderburg

Stubblefield Park

Sung

, et al. (2013) Circulating CD4(+) and CD8(+) T cells are activated in inflammatory bowel disease and are associated with plasma markers of inflammation. Immunology 140(1): 87–97.

10.

Mowat

(2018) To respond or not to respond - a personal perspective of intestinal tolerance. Nature Reviews. Immunology 18(6): 405–415.

11.

Zhou

Liu

Xie

, et al. (2019) Bifidobacterium infantis induces protective colonic PD-L1 and Foxp3 Regulatory T cells in an acute murine experimental model of inflammatory bowel disease. Gut Liver 13(4):430–439.

12.

Fan

Wang

Zhou

(2019) Study on level of helper T lymphocyte associated cytokines in peripheral blood of patients with common colonic diseases. Chinese Journal of Immunology 35(23): 2888–2894.

13.

Walker

McKenzie

ANJ

(2018) TH2 cell development and function. Nature Reviews. Immunology 18(2): 121–133.

14.

Jostins

Ripke

Weersma

, et al. (2012) Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease. Nature 491(7422): 119–124.

15.

Salas

Veny

Panés

(2012) Letter: Pathogenicity of Th17 cells may differ in ulcerative colitis compared with Crohn’s disease - authors’ reply. Alimentary Pharmacology and Therapeutics 36(2): 205.

16.

Himmel

Yao

Orban

, et al. (2012) Regulatory T-cell therapy for inflammatory bowel disease: more questions than answers. Immunology 136(2): 115–122.

17.

La Scaleia

Barba

Di Nardo

, et al. (2012) Size and dynamics of mucosal and peripheral IL-17A+ T-cell pools in pediatric age, and their disturbance in celiac disease. Mucosal Immunol 5(5): 513–523.

18.

Zhu

Zheng

Zhou

, et al. (2018) Andrographolide affects Th1/Th2/Th17 responses of peripheral blood mononuclear cells from ulcerative colitis patients. Molecular Medicine Reports 18(1): 622–626.

19.

Chang

(2020) Pathophysiology of inflammatory bowel diseases. The New England Journal of Medicine 383(27): 2652–2664.

20.

Zenewicz

Antov

Flavell

(2009) CD4 T-cell differentiation and inflammatory bowel disease. Trends in Molecular Medicine 15(5): 199–207.

21.

Saez

Gomez-Bris

Herrero-Fernandez

, et al. (2021) Innate Lymphoid Cells in Intestinal Homeostasis and Inflammatory Bowel Disease. International Journal of Molecular Sciences 22(14): 7618.

22.

Maynard

Weaver

(2009) Intestinal effector T cells in health and disease. Immunity 31(3): 389–400.

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