Skip to main content

ORIGINAL RESEARCH article

Front. Med., 09 September 2021
Sec. Nephrology

T-Lymphocyte Subsets Alteration, Infection and Renal Outcome in Advanced Chronic Kidney Disease

\nJiachuan Xiong&#x;Jiachuan XiongYu Qiao&#x;Yu QiaoZhikai YuZhikai YuYinghui HuangYinghui HuangKe YangKe YangTing He
Ting He*Jinghong Zhao
Jinghong Zhao*
  • The Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Department of Nephrology, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China

Background: T-lymphocyte subsets reflect patients' immune status and are associated with adverse outcomes in various diseases. However, the association between T-lymphocyte subsets and major infection and renal outcome in chronic kidney disease (CKD) patients has not been well-addressed.

Methods: Patients diagnosed with stage 3–5 of non-dialysis CKD were recruited, and healthy subjects were selected as the controls. T-lymphocyte subsets (CD3+, CD4+, CD8+) were detected by flow cytometry, and the CD4+/CD8+ T cell ratio was then calculated. Patients were divided into the normal-level group and the low-level group according to the clinical reference value. The primary outcomes were the major infection and renal outcome.

Results: A total of 410 CKD patients were enrolled; the average age was 47.25 years. Compared to the healthy controls, the level of CD3+, CD4+, CD8+ T cells, and the CD4+/CD8+ T cell ratio were significantly decreased in CKD patients (p < 0.05). During the median follow-up of 2.56 (quartile interval 1.24–3.46) years, major infections occurred in 15.10% of the CKD patients. The incidence of infection was significantly higher in the low-level group of CD3+, CD4+ T cells, and CD4+/CD8+ T cell ratio compared with the normal level groups. Kaplan-Meier analysis showed that the lower level of CD3+, CD4+ T cells, and CD4+/CD8+T cell ratio is associated with a greater risk of infection. Cox regression analysis further confirmed that low CD3+, CD4+ T cells, and CD4+/CD8+ T cell ratio were independent risk factors of infection in CKD patients. Moreover, during the follow-up, renal events occurred in 37.50% of patients. Kaplan-Meier analysis indicated that low levels of CD3+, CD4+, and CD8+ T cells are significantly associated with renal outcome in CKD patients. Cox regression analysis showed that low level of CD3+ T cells (HR = 2.407, 95% CI: 1.664–3.482, p < 0.001), CD4+ T cells (HR = 2.397, 95% CI: 1.633–3.518, p < 0.001) and CD8+ T cells (HR = 2.416, 95% CI: 1.476–3.955, p < 0.001) were independent risk factors for renal outcome after multivariable-adjusted.

Conclusion: CKD patients had a defect in T-lymphocyte subpopulation. T-lymphocyte subsets were closely associated with infection and renal outcome in CKD patients. Suggesting T-lymphocyte subsets are independent predictors of infection and renal outcome in CKD patients.

Introduction

Chronic kidney disease (CKD) has become a global public health problem, resulting in a heavy burden for all countries (1, 2). Patients will eventually develop end-stage kidney disease (ESKD) due to the irreversible deterioration of kidney function, which requires lifelong replacement therapy. Consequently, it seriously influences the quality of life and overall survival (3). Abnormal immune function, especially cell immunodeficiency, plays a vital role in the progression of CKD (4, 5). This phenomenon not only results in the occurrence of CKD but also aggravates metabolic disorders, oxidative stress, and toxin accumulation in CKD milieus (6, 7). In addition to cellular immunodeficiency and imbalanced immunity, humoral immunity is further suppressed (8). The vicious cycle between cellular immunodeficiency and CKD ultimately becomes an essential driver of ESKD and dialysis outcomes (9).

T-lymphocyte is the most critical cell in cellular immunity and participates in almost all specific immune responses of the body (10). A previous study showed a significant reduction in T-lymphocyte numbers in CKD patients (11). Another study showed that T-lymphocytes in children with CKD without dialysis were less than those in healthy people and decreased gradually as the disease progressed (12). Moreover, T-lymphocytes were also dysregulated in dialysis patients (13). Some kidney diseases, such as lupus nephritis, were reported to have a reduction of peripheral blood CD4+T cells and CD4+/CD8+ T cell ratio compared with that of healthy individuals (14, 15). Moreover, T-lymphocyte is also reported to play a decisive role in early kidney damage in diabetic nephropathy (DN) and promote the development of DN (16). Changes in peripheral blood T-lymphocyte subsets in type 2 diabetes were manifested as decreased CD3+ T cells, CD4+ T cells, and CD4+/CD8+ T cell ratio and increased or decreased CD8+ T cells (17). Besides, immunosuppressive therapy for some kidney diseases leads to T-lymphocyte numbers drop in pre-dialysis CKD patients (18, 19).

Peripheral blood T cells subsets (including CD3+, CD4+, CD8+ and CD4+/CD8+) are clinical indicators of cellular immune function. Generally, healthy people have a CD4+/CD8+ T cell ratio of 1, while changing in this value increases morbidity and mortality (20, 21). As a clinical indicator of cellular immune function, the relationship between T-lymphocyte subsets and CKD progression deserves further study. However, few studies have comprehensively evaluated the association between peripheral blood T cells subsets and the outcome of infection and renal replacement therapy in pre-dialysis CKD patients. Therefore, we conducted a retrospective study in pre-dialysis CKD stage 3–5 patients to assess whether T-lymphocyte subsets can be used as an indicator of major infection and renal outcome.

Methods

Study Population

This retrospective cohort study enrolled pre-dialysis CKD stage 3–5 patients from Xinqiao Hospital of Army Medical University in China from January 2015 to July 2018. A total of 410 individuals performed serum T-lymphocyte subsets detection. The study protocol was approved by the ethical committee of Xinqiao Hospital. Informed consent was obtained from all individual participants included in the study.

Inclusion and Exclusion Criteria

The inclusion criteria were as follows: (1) Pre-dialysis CKD patients (stages 3–5); (2) adults aged 18 years or older; and (3) completed therapeutic information and follow-up data.

The exclusion criteria were as follows: (1) patients with acute kidney injury; (2) patients with various infections of different etiologies; (3) pregnant women; (4) patients with past or current malignancy; (5) patients with congenital or acquired immunodeficiency.

Clinical Data Collection and Laboratory Analyses

Flow cytometry enumeration of T-lymphocyte subsets was performed on a FACSCalibur system (BD Biosciences, San Jose, CA, USA), and the percentages of T-lymphocyte subsets were analyzed using multiphase software (BD Biosciences, San Jose, CA). For laboratory measurements, blood was available from each patient early in the morning after an overnight fast. Laboratory data, including serum hemoglobin, albumin, creatinine, uric acid, urea nitrogen, calcium, phosphorus, intact parathyroid hormone (iPTH), and cystatin C, were analyzed by a Beckman AU5800 automatic biochemical analyzer (Beckman Coulter, Inc., Brea, CA) according to the manufacturer's protocol. The estimated glomerular filtration rate (eGFR) was calculated by the CKD Epidemiology Collaboration (CKD-EPI) creatinine equation (22).

Investigation of Study Outcomes

The renal outcome is defined as receiving renal replacement therapy due to irreversible deterioration of kidney function, including hemodialysis, peritoneal dialysis, or kidney transplantation. And the major infection is defined as an infection which is requiring hospitalization for anti-infection treatment.

Patients Grouping

CKD patients were divided into two groups according to the value of T-lymphocyte subsets: The T-lymphocyte subsets in the peripheral blood of the patients were measured by direct immunofluorescence staining with flow cytometry and were grouped according to their clinical reference value, with Normal-level group (770≤CD3+≤2860; 500≤CD4+≤1440; 238≤CD8+≤1250; 1.0 ≤CD4+/CD8+≤ 2.47) and Low-level group (CD3+ <770; CD4+ <500; CD8+ <238; CD4+/CD8+ <1).

Statistical Analysis

Continuous variables with normal distribution were reported as means and standard deviations, and other continuous variables that accord with non-normal distribution were reported as medians (25th, 75th percentiles). Categorical variables were recorded as percentages. The characteristics of the participants were compared by the vital status of T-lymphocyte subsets using independent sample t-tests or Wilcoxon rank-sum tests for continuous variables and chi-square tests for categorical variables. Kaplan–Meier curves were plotted, and log-rank tests were used to compare the progression-free survival for renal outcome and infection according to T-lymphocyte subsets. Cox proportional hazards models were used to examine the relationship between CD3+, CD4+, CD8+ T and CD4+/CD8+ T cell ratio and renal outcome, major infection. The effect of potential confounding was analyzed by constructing models with incremental adjustments: Model 1 (unadjusted model); Model 2 (Model 1 adjusted by age, gender, BMI, systolic blood pressure, and diastolic blood pressure); Model 3 (Model 2 adjusted by CKD stage, hypertension, diabetes, cardiovascular disease, and smoker); Model 4 (Model 3 adjusted by phosphorus, calcium, intact parathyroid hormone, hemoglobin, albumin, BUN, cystatin C, and uric acid). All statistical analyses were carried out using the SAS software package version 9.4 (SAS Institute, Cary, NC, USA), GraphPad Prism software package version 8 (La Jolla, CA, USA), and R-studio software version 3.6.2 (package: forest plot). A p-value < 0.05 was considered statistically significant.

Results

Alteration of T Lymphocyte Subsets in CKD Population

A total of 623 CKD patients were screened, and 213 patients were excluded. Finally, 410 CKD stage 3–5 patients were included for analysis, and the flow chart is shown in Supplementary Figure 1. The baseline characteristics of the study population are described in Table 1. The mean age was 47.25 years. Approximately 50% of the patients were female. The median eGFR was 26.90 (interquartile range, 13.71–43.52) mL/min/1.73 m2. Moreover, about 27% of the patients were smokers, and the prevalence of diabetes was 9.02%. Patients in CKD stage 4 had the highest incidence of diabetes (p < 0.05). Furthermore, serum hemoglobin, calcium, and eGFR were lower in advanced stages of CKD, while systolic blood pressure, phosphorus, uric acid, urea nitrogen, cystatin C, and iPTH concentrations were higher in advanced stages of CKD (Table 1). Then, we used 100 healthy adults subjects who were recruited from the physical examination center without any chronic diseases or drug dependence as control; 51% were males with an average of 45.3 years old. The frequency distribution of CD3+, CD4+, and CD8+ T cell numbers was shown in Supplementary Figure 2. The highest CD4+/CD8+ T cell ratio was found in stage 5 CKD. Compared with the healthy subjects, the CD3+ T cell count in CKD stage 3–5 patients was significantly lower than that in the healthy control group (p < 0.01). Similarly, CD4+, CD8+ T cell counts and CD4+/CD8+ T cell ratio were significantly lower in CKD patients than healthy subjects (p < 0.05), as shown in Supplementary Table 1; Figure 1.

TABLE 1
www.frontiersin.org

Table 1. The basic characteristics of the included CKD patients.

FIGURE 1
www.frontiersin.org

Figure 1. Comparison of T-lymphocyte subsets between CKD patients and healthy subjects (HC). (A) CD3+ T cell count, (B) CD4+ T cell count, (C) CD8+ T cell count, (D) CD4+/CD8+ T cell ratio. The dotted line represented the normal value. **p < 0.01.

T-Lymphocyte Subsets and Major Infection

During a median follow-up of 2.56 (inter-quartile, 1.24–3.46) years, the major infections occurred in 62 (15.12%) cases, of which 27 (43.55%) were female. The sites of infection were respiratory tract infection (pneumonia) in 42 (67.74%) patients and followed by urinary tract infection in 19 (30.65%) patients, and one patient was diagnosed with a blood infection. Then, CKD patients were divided into infection and non-infection groups, as shown in Supplementary Table 2. There was a significant difference between the two groups in CKD stages, serum creatinine, uric acid, BUN and cystatin C, and eGFR. Moreover, compared with the normal level T lymphocyte group, more infection events occurred in the low CD3+, CD4+ and CD4+/CD8+ ratio T lymphocyte group except for the low CD8+ T lymphocyte group (Supplementary Table 3). The Kaplan-Meier survival analysis was performed to evaluate the relationship between T lymphocyte subsets and the incidence of infection in patients with CKD. Results showed that patients with low levels of CD3+, CD4+ and CD4+/CD8+ T cells have a higher risk of major infection when compared with the normal level T lymphocyte group, while there was no significant difference in the infection events between the low level of CD8+ T cells and the normal level of CD8+ T cells (Figure 2). In addition, Cox regression analysis showed that patients in low CD3+ (HR = 2.225, 95% CI: 1.289–3.841, p = 0.004), CD4+ (HR = 3.591, 95% CI: 1.870–6.896, p < 0.001), and CD4+/CD8+ ratio (HR = 4.507, 95% CI: 2.592–7.837, p < 0.001) T lymphocyte group had a greater risk of major infection than patients with normal level T lymphocyte group in multivariable-adjusted models (Table 2; Figure 3A).

FIGURE 2
www.frontiersin.org

Figure 2. Association between T-lymphocyte subsets and major infection. (A) CD3+ T cell, (B) CD4+ T cell, (C) CD8+ T cell, (D) CD4+/CD8+ T cell. Patients were stratified into two groups by clinical reference value (Kaplan-Meier analysis with log-rank test).

TABLE 2
www.frontiersin.org

Table 2. Associations of CD3+, CD4+, and CD8+ T cells with major infection.

FIGURE 3
www.frontiersin.org

Figure 3. The Hazard ratio for T-lymphocyte subsets with major infection (A) renal outcome (B) in CKD patients by multivariate-adjusted models.

T Lymphocyte Subsets and Renal Outcome

During the follow-up, renal events occurred in 37.50% of patients. To evaluate the prognostic value of T lymphocytes, we categorized the patients into normal T lymphocyte and low T lymphocyte groups, and the information is presented in Table 3. According to CD3+ T cell level, there were significant differences in hemoglobin, iPTH, urea nitrogen, cystatin C and eGFR between the two groups, while there were no significant differences in baseline characteristics between the low level of CD4+ T cell group and normal level of CD4+ T cell group except for serum phosphorus. For CD8+ T cell level, there were significant differences in age, CKD stages, hemoglobin, iPTH, urea nitrogen, cystatin C and eGFR between the two groups. In addition, there was no significant difference in Erythropoietin (EPO) administration between the normal-level and the low-level T cell subpopulation (Supplementary Table 4). Moreover, Kaplan-Meier survival analysis was generated and showed that patients in low levels of CD3+, CD4+ and CD8+ T lymphocyte group have a higher risk of the renal outcome when compared with normal level T lymphocyte group except for CD4+/CD8+ ratio (Figure 4). Then, Cox proportional hazard model further concluded that patients had a near 2.5-fold risk of renal outcome in the low level of CD3+ T lymphocyte group (HR = 2.407, 95% CI: 1.664–3.482, p < 0.001) and low level of CD4+ T lymphocyte group (HR = 2.397, 95% CI: 1.633–3.518, p < 0.001) after adjusted by multiple models, while patients in low CD8+ T lymphocyte group had an approximately 1.42-fold increased risk of renal outcome after multivariable-adjusted (HR = 2.416, 95% CI: 1.476–3.955, p < 0.001) (Table 4; Figure 3B).

TABLE 3
www.frontiersin.org

Table 3. Demographic, clinical and laboratory parameters in accordance with CD3+, CD4+ and CD8+ T cells.

FIGURE 4
www.frontiersin.org

Figure 4. Association between T-lymphocyte subsets and renal outcome. (A) CD3+ T cell, (B) CD4+ T cell, (C) CD8+ T cell, (D) CD4+/CD8+ T cell. Patients were stratified into two groups by clinical reference value (Kaplan-Meier analysis with log-rank test).

TABLE 4
www.frontiersin.org

Table 4. Association of CD3+, CD4+, and CD8+ T cells with renal outcome.

Discussion

In the current study, we found that T-lymphocyte subsets were significantly reduced in the CKD population. T-lymphocyte subsets were closely related to infection and renal outcome in patients with advanced CKD.

T-lymphocytes mainly contain CD3+, CD4+ and CD8+ and other members, and their expression and specific roles are quite different. For example, the CD3+ molecule is distributed on almost all mature T-cell surfaces and is a superficial T-lymphocyte maturation marker. The decrease of CD3+ T cells represents that a lower immune function of the human body (23). In a previous study, the proliferation of CD3+T cells was significantly decreased in ESKD patients (24). It suggested that several antibodies respond critically dependent on the presence of antigen-specific CD4+ T cells for its generation and maintenance. Therefore, disturbances of CD4+ T cells will affect cellular immunity and humoral immunity (25, 26). Additionally, CD8+ T cells play an essential role in anti-infective immunity, antitumor immunity, and suppression of immune system function by secreting various cytokines (27). A previous study reported that fewer circulation of CD8+ T cells was found in pre-dialysis patients compared to the age-matched healthy group (28). Moreover, the ratio of CD4+/CD8+ T cell is also an indicator to assess individual immune function, and this ratio indicates a balance of these functions (29). In addition, a small number, the cross-sectional study performed by Hartzell et al. showed that lower level of CD3+ T cells in CKD and lower level of CD8+ and CD4+/CD8+ T cell in ESKD patients. In contrast, no difference was noticed in total T cells among healthy controls, CKD, and ESKD patients. Consequently, they also analyzed the relation between exhausted T cell phenotype and CKD. And they concluded that these alterations were companied by a more pro-inflammatory phenotype in kidney failure patients (13). Our study further strengthened their results with an extended number of participants in CKD while not in dialysis patients. Moreover, we also investigated the T-lymphocyte subsets and infection and renal outcome. In addition, we further noticed that the level of T-lymphocyte subsets is associated with CKD staging. Suggesting that, with the kidney function deterioration, T-lymphocyte subsets will be further reduced. These results indicated that different phenotypes of T cells might play different roles in the CKD niche and adverse outcomes. The dysfunction of T cell-mediated immune responses is observed in CKD patients with immunodeficiency (30). Previous studies found a low T-lymphocyte function in CKD patients, and T-cell subgroup detection, an indicator of cellular immune function, was often abnormal (31). For example, patients with IgA glomerulonephritis nephropathy (IgAN) showed lower activated T-lymphocytes in peripheral blood than healthy people (32). Moreover, protein-energy malnutrition (PEM), a common and severe complication of CKD, induces T-lymphopenia and T-lymphocyte dysfunction (33). Several studies indicated that ESKD patients have T-lymphocyte dysfunctions, such as the reduction of regulatory T-cells (Tregs), a subgroup of CD4+ T cells (34, 35). Furthermore, because Tregs inhibit systemic inflammation and CVD, deficiency of Tregs might be one reason for some complications in ESRD patients, including CVD (36). The changes of T-lymphocyte subpopulations also accelerate the progression of DN (15). Currently, minimal change disease (MCD) is believed to be due to podocyte damaged by glomerular permeability factors produced from abnormal T-lymphocyte subsets (37, 38). Another study found that CD4+ T cells in patients with relapsed MCD were significantly upregulated (39), further confirming the role of T cells in the development of this condition. Thus, the occurrence of kidney diseases is related to the immune environment, especially the number and function of T-lymphocytes. Therefore, it is necessary to elucidate the role of T- lymphocytes in the progression of CKD.

In the current study, we added risk factors related to CKD and cellular immune function for correction. For instance, a previous study reported that old age leads to immunosenescence, with a decrease in T cells in the process of aging (40). Furthermore, most likely, owing to different lifestyles in Western and Asian countries, accumulated risk factors such as hypertension, glucose intolerance, obesity, and hypercholesterolemia enhance the prevalence of CKD over time (41). Therefore, our study included hypertension, diabetes, and BMI as risk factors for adjustment. Other traditional risk factors for the renal outcome, such as hemoglobin, albumin, phosphorus, calcium, iPTH, uric acid, BUN, cystatin, and eGFR, are also taken into account. After correction, groups with low-level of CD3+, CD4+, and CD8+ T cells subsets showed a significantly increased risk of renal outcomes and infection. These results indicate that T cells subsets can be used as prognosis biomarkers in patients with CKD. Furthermore, surveillance of the markers routinely can be beneficial to patients with CKD.

A previous study demonstrated that low levels of T-lymphocytes (mainly CD4+ and CD8+ T cells) are associated with an inadequate response to EPO. More pro-inflammatory factors such as interleukin-4 (IL-4), IL-10, and tumor necrosis factor-α (TNF -α) were secreted in patients with a low circulation of T-lymphocytes (42). Recent evidence shows that EPO has a vital role in immune-modulating effects through the ERP receptor in various organs. EPO can also inhibit human T cells in vivo study (43). Donadei et al. demonstrated that EPO overexpression or recombinant EPO (rEPO) management restricts the formation of Th17 cells, which was produced by CD4+ cells (44), indicating that EPO has a close relationship with T-lymphocyte subsets. In our study, a low level of hemoglobin was in company with a low level of CD3+ and CD8+ T cells (Table 3). On the one hand, we spectated that anemia in CKD pre-dialyzed patients might be attributed to abnormal immune function. On the other hand, the EPO deficiency in CKD patients may also contribute to the dysfunction of T-lymphocyte subsets. There were no significant differences in EPO administration between the normal-level and the low-level T cell subpopulation. Unfortunately, we didn't measure and compared the EPO levels in these CKD patients between normal and low-level T cell groups. Hence, but the specific mechanism is still unclear, further studies are urgently needed. Bouts et al. reported that total T-lymphocytes and T-lymphocyte subsets were decreased in children with renal failure regardless of dialysis, compared with those in the healthy group (45). Although low levels of CD3+, CD4+, and CD8+ T cells were identified as significant risk factors for CKD progression, we only focused on the baseline levels of T-lymphocytes and did not continue to track changes after dialysis. Borges et al. showed that patients with ESKD had reduced levels of circulating CD3+ T cells (46). Although the level of circulating CD3+ T cells has a downtrend in CKD stage 5 compared with CKD stages 3–4, no significant difference was found in our study. This finding might be due to the small sample size. A study stated that T-lymphocytes and their subsets were not associated with eGFR (47). However, our study showed that CD3+ and CD8+ T cells were associated with eGFR, but CD4+ T cells were significantly correlated with eGFR. One advantage of our study is the emphasis on the relationship between pre-dialysis immune function and renal outcome, which has not been frequently examined in previous studies, and early attention to these factors can help to guide treatment. Nevertheless, a limitation of this study is the fact that we did not examine changes in the phenotype and function of immune cells.

In conclusion, our results reveal those low levels of CD3+, CD4+, and CD8+ T cells subsets are associated with an increased risk of infection and renal outcome in pre-dialysis CKD stage 3–5 patients, which indicates that T-lymphocyte subsets might be used as a predictor factor of infection and renal outcome in those patients.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.

Ethics Statement

The studies involving human participants were reviewed and approved by the Ethical committee of Xinqiao Hospital. The patients/participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.

Author Contributions

JX and YQ drafted the manuscript, as well as the collection, acquisition, analysis, and interpretation of data. ZY analyzed the data. TH and JZ contributed to the conception and design of the current study. YH and KY participated in the coordination of the study and reviewed the manuscript. JZ designed and supervised this study, analyzed data, wrote, and revised the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the Personal Training Program for Clinical Medicine Research of Army Medical University (2018XLC1007) and Frontier-specific projects of Xinqiao Hospital (2018YQYLY004).

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.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2021.742419/full#supplementary-material

Supplementary Figure 1. The flowchart of the study.

Supplementary Figure 2. Frequency distribution of T-lymphocyte subsets in CKD patients. (A) CD3+ T cell, (B) CD4+ T cell, (C) CD8+ T cell.

Supplementary Table 1. The relationship between the T lymphocyte subsets in CKD patients and healthy control.

Supplementary Table 2. The basic characteristics of the included CKD patients according to infection.

Supplementary Table 3. Infection of normal and low level T lymphocyte subsets.

Supplementary Table 4. Proportion of erythropoietin administration in accordance with CD3+, CD4+ and CD8+ T cells.

References

1. Murphy D, McCulloch CE, Lin F, Banerjee T, Bragg-Gresham JL, Eberhardt MS, et al. Trends in prevalence of chronic kidney disease in the United States. Ann Intern Med. (2016) 165:473–81. doi: 10.7326/M16-0273

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Zhang L, Wang F, Wang L, Wang W, Liu B, Liu J, et al. Prevalence of chronic kidney disease in China: a cross-sectional survey. Lancet. (2012) 379:815–22. doi: 10.1016/S0140-6736(12)60033-6

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Townsend RR, Anderson AH, Chirinos JA, Feldman HI, Grunwald JE, Nessel L, et al. Association of pulse wave velocity with chronic kidney disease progression and mortality: findings from the CRIC study (Chronic Renal Insufficiency Cohort). Hypertension. (2018) 71:1101–7. doi: 10.1161/HYPERTENSIONAHA.117.10648

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Vaziri ND. Oxidative stress in uremia: nature, mechanisms, and potential consequences. Semin Nephrol. (2004) 24:469–73. doi: 10.1016/j.semnephrol.2004.06.026

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Badiou S, Cristol JP, Jaussent I, Terrier N, Morena M, Maurice F, et al. Fine-tuning of the prediction of mortality in hemodialysis patients by use of cytokine proteomic determination. Clin J Am Soc Nephrol. (2008) 3:423–30. doi: 10.2215/CJN.02010507

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Carrero JJ, Stenvinkel P. Inflammation in end-stage renal disease–what have we learned in 10 years? Semin Dial. (2010) 23:498–509. doi: 10.1111/j.1525-139X.2010.00784.x

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Noh JY, Song JY, Choi WS, Lee J, Seo YB, Kwon YJ, et al. Immunogenicity of trivalent influenza vaccines in patients with chronic kidney disease undergoing hemodialysis: MF59-adjuvanted versus non-adjuvanted vaccines. Hum Vaccin Immunother. (2016) 12:2902–8. doi: 10.1080/21645515.2016.1191717

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Sallustio F, Serino G, Cox SN, Dalla Gassa A, Curci C, De Palma G, et al. Aberrantly methylated DNA regions lead to low activation of CD4+ T-cells in IgA nephropathy. Clin Sci. (2016) 130:733–46. doi: 10.1042/CS20150711

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Betjes MG, Litjens NH. Chronic kidney disease and premature ageing of the adaptive immune response. Curr Urol Rep. (2015) 16:471. doi: 10.1007/s11934-014-0471-9

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Hu Z, Zou Q, Su B. Regulation of T cell immunity by cellular metabolism. Front Med. (2018) 12:463–72. doi: 10.1007/s11684-018-0668-2

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Meier P, Dayer E, Blanc E, Wauters JP. Early T cell activation correlates with expression of apoptosis markers in patients with end-stage renal disease. J Am Soc Nephrol. (2002) 13:204–12. doi: 10.1681/ASN.V131204

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Nairn J, Hodge G, Henning P. Changes in leukocyte subsets: clinical implications for children with chronic renal failure. Pediatr Nephrol. (2005) 20:190–6. doi: 10.1007/s00467-004-1727-2

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Hartzell S, Bin S, Cantarelli C, Haverly M, Manrique J, Angeletti A, et al. Kidney failure associates with T cell exhaustion and imbalanced follicular helper T cells. Front Immunol. (2020) 11:583702. doi: 10.3389/fimmu.2020.583702

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Maeda N, Sekigawa I, Iida N, Matsumoto M, Hashimoto H, Hirose S. Relationship between CD4+/CD8+ T cell ratio and T cell activation in systemic lupus erythematosus. Scand J Rheumatol. (1999) 28:166–70. doi: 10.1080/03009749950154248

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Shah D, Aggarwal A, Bhatnagar A, Kiran R, Wanchu A. Association between T lymphocyte sub-sets apoptosis and peripheral blood mononuclear cells oxidative stress in systemic lupus erythematosus. Free Radic Res. (2011) 45:559–67. doi: 10.3109/10715762.2011.555765

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Zheng Z, Zheng F. Immune cells and inflammation in diabetic nephropathy. J Diabetes Res. (2016) 2016:1841690. doi: 10.1155/2016/1841690

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Frolov VM, Peresadin NA, Petrunia AM, Pinskii LL. [Immune status of patients with non-insulin-dependent diabetes mellitus]. Probl Endokrinol. (1994) 40:7–8. doi: 10.14341/probl12129

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Jiang H, Yang X, Soriano RN, Fujimura T, Krishnan K, Kobayashi M. Distinct patterns of cytokine gene suppression by the equivalent effective doses of cyclosporine and tacrolimus in rat heart allografts. Immunobiology. (2000) 202:280–92. doi: 10.1016/S0171-2985(00)80034-0

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Dumont FJ, Staruch MJ, Fischer P, DaSilva C, Camacho R. Inhibition of T cell activation by pharmacologic disruption of the MEK1/ERK MAP kinase or calcineurin signaling pathways results in differential modulation of cytokine production. J Immunol. (1998) 160:2579–89.

PubMed Abstract | Google Scholar

20. Kasakura S. [A role for T-helper type 1 and type 2 cytokines in the pathogenesis of various human diseases]. Rinsho Byori. (1998) 46:915–21.

PubMed Abstract | Google Scholar

21. Hadrup SR, Strindhall J, Køllgaard T, Seremet T, Johansson B, Pawelec G, et al. Longitudinal studies of clonally expanded CD8 T cells reveal a repertoire shrinkage predicting mortality and an increased number of dysfunctional cytomegalovirus-specific T cells in the very elderly. J Immunol. (2006) 176:2645–53. doi: 10.4049/jimmunol.176.4.2645

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Stevens LA, Claybon MA, Schmid CH, Chen J, Horio M, Imai E, et al. Evaluation of the chronic kidney disease epidemiology collaboration equation for estimating the glomerular filtration rate in multiple ethnicities. Kidney Int. (2011) 79:555–62. doi: 10.1038/ki.2010.462

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Matsumoto Y, Shinzato T, Amano I, Takai I, Kimura Y, Morita H, et al. Relationship between susceptibility to apoptosis and Fas expression in peripheral blood T cells from uremic patients: a possible mechanism for lymphopenia in chronic renal failure. Biochem Biophys Res Commun. (1995) 215:98–105. doi: 10.1006/bbrc.1995.2438

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Moser B, Roth G, Brunner M, Lilaj T, Deicher R, Wolner E, et al. Aberrant T cell activation and heightened apoptotic turnover in end-stage renal failure patients: a comparative evaluation between non-dialysis, haemodialysis, and peritoneal dialysis. Biochem Biophys Res Commun. (2003) 308:581–5. doi: 10.1016/S0006-291X(03)01389-5

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Litjens NH, Huisman M, van den Dorpel M, Betjes MG. Impaired immune responses and antigen-specific memory CD4+ T cells in hemodialysis patients. J Am Soc Nephrol. (2008) 19:1483–90. doi: 10.1681/ASN.2007090971

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Litjens NH, Huisman M, Hijdra D, Lambrecht BM, Stittelaar KJ, Betjes MG. IL-2 producing memory CD4+ T lymphocytes are closely associated with the generation of IgG-secreting plasma cells. J Immunol. (2008) 181:3665–73. doi: 10.4049/jimmunol.181.5.3665

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Shaban E, Bayliss G, Malhotra DK, Shemin D, Wang LJ, Gohh R, et al. Targeting regulatory T cells for transplant tolerance: new insights and future perspectives. Kidney Dis. (2018) 4:205–13. doi: 10.1159/000490703

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Meijers RW, Litjens NH, de Wit EA, Langerak AW, van der Spek A, Baan CC, et al. Uremia causes premature ageing of the T cell compartment in end-stage renal disease patients. Immun Ageing. (2012) 9:19. doi: 10.1186/1742-4933-9-19

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Pichler R, Sfetsos K, Badics B, Gutenbrunner S, Berg J, Auböck J. Lymphocyte imbalance in vitiligo patients indicated by elevated CD4+/CD8+ T-cell ratio. Wien Med Wochenschr. (2009) 159:337–41. doi: 10.1007/s10354-009-0699-z

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Alvarez-Lara MA, Carracedo J, Ramírez R, Martín-Malo A, Rodríguez M, Madueño JA, et al. The imbalance in the ratio of Th1 and Th2 helper lymphocytes in uraemia is mediated by an increased apoptosis of Th1 subset. Nephrol Dial Transplant. (2004) 19:3084–90. doi: 10.1093/ndt/gfh382

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Lin FJ, Jiang GR, Shan JP, Zhu C, Zou J, Wu XR. Imbalance of regulatory T cells to Th17 cells in IgA nephropathy. Scand J Clin Lab Invest. (2012) 72:221–9. doi: 10.3109/00365513.2011.652158

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Reddan DN, Klassen PS, Szczech LA, Coladonato JA, O'Shea S, Owen WF, et al. White blood cells as a novel mortality predictor in haemodialysis patients. Nephrol Dial Transplant. (2003) 18:1167–73. doi: 10.1093/ndt/gfg066

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Hendrikx TK, van Gurp EA, Mol WM, Schoordijk W, Sewgobind VD, Ijzermans JN, et al. End-stage renal failure and regulatory activities of CD4+CD25bright+FoxP3+ T-cells. Nephrol Dial Transplant. (2009) 24:1969–78. doi: 10.1093/ndt/gfp005

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Fathi F, Atapour A, Eskandari N, Keyhanmehr N, Hafezi H, Mohammadi S, et al. Regulatory T-cells and their impacts on cytokine profile of end-stage renal disease patients suffering from systemic lupus erythematosus. Int J Immunopathol Pharmacol. (2019) 33. doi: 10.1177/2058738419863238

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Tian N, Penman AD, Manning RD, Flessner MF, Mawson AR. Association between circulating specific leukocyte types and incident chronic kidney disease: the atherosclerosis risk in communities (ARIC) study. J Am Soc Hypertens. (2012) 6:100–8. doi: 10.1016/j.jash.2011.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Kim SM, Kim HW. Relative lymphocyte count as a marker of progression of chronic kidney disease. Int Urol Nephrol. (2014) 46:1395–401. doi: 10.1007/s11255-014-0687-0

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Krause A, Neitz S, Mägert HJ, Schulz A, Forssmann WG, Schulz-Knappe P, et al. LEAP-1, a novel highly disulfide-bonded human peptide, exhibits antimicrobial activity. FEBS Lett. (2000) 480:147–50. doi: 10.1016/S0014-5793(00)01920-7

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Atanasiu V, Manolescu B, Stoian I. Hepcidin the link between inflammation and anemia in chronic renal failure. Rom J Intern Med. (2006) 44:25–33.

PubMed Abstract | Google Scholar

39. Salcido-Ochoa F, Hue SS, Haase D, Choo JCJ, Yusof N, Li RL, et al. Analysis of T cell subsets in adult primary/idiopathic minimal change disease: a pilot study. Int J Nephrol. (2017) 2017:3095425. doi: 10.1155/2017/3095425

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Kaszubowska L, Foerster J, Kwiatkowski P, Schetz D. NKT-like cells reveal higher than T lymphocytes expression of cellular protective proteins HSP70 and SOD2 and comparably increased expression of SIRT1 in the oldest seniors. Folia Histochem Cytobiol. (2018) 56:231–40. doi: 10.5603/FHC.a2018.0025

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Nagata M, Ninomiya T, Doi Y, Yonemoto K, Kubo M, Hata J, et al. Trends in the prevalence of chronic kidney disease and its risk factors in a general Japanese population: the hisayama study. Nephrol Dial Transplant. (2010) 25:2557–64. doi: 10.1093/ndt/gfq062

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Cooper AC, Breen CP, Vyas B, Ochola J, Kemeny DM, Macdougall IC. Poor response to recombinant erythropoietin is associated with loss of T-lymphocyte CD28 expression and altered interleukin-10 production. Nephrol Dial Transplant. (2003) 18:133–40. doi: 10.1093/ndt/18.1.133

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Cantarelli C, Angeletti A, Cravedi P. Erythropoietin, a multifaceted protein with innate and adaptive immune modulatory activity. Am J Transplant. (2019) 19:2407–14. doi: 10.1111/ajt.15369

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Donadei C, Angeletti A, Cantarelli C, D'Agati VD, La Manna G, Fiaccadori E, et al. Erythropoietin inhibits SGK1-dependent TH17 induction and TH17-dependent kidney disease. JCI Insight. (2019) 5:e127428. doi: 10.1172/jci.insight.127428

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Bouts AH, Davin JC, Krediet RT, Monnens LA, Nauta J, Schröder CH, et al. Children with chronic renal failure have reduced numbers of memory B cells. Clin Exp Immunol. (2004) 137:589–94. doi: 10.1111/j.1365-2249.2004.02571.x

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Borges A, Borges M, Fernandes J, Nascimento H, Sameiro-Faria M, Miranda V, et al. Apoptosis of peripheral CD4(+) T-lymphocytes in end-stage renal disease patients under hemodialysis and rhEPO therapies. Ren Fail. (2011) 33:138–43. doi: 10.3109/0886022X.2011.553300

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Xiang FF, Zhu JM, Cao XS, Shen B, Zou JZ, Liu ZH, et al. Lymphocyte depletion and subset alteration correlate to renal function in chronic kidney disease patients. Ren Fail. (2016) 38:7–14. doi: 10.3109/0886022X.2015.1106871

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: T-lymphocyte, infection, renal outcome, chronic kidney disease, risk factors

Citation: Xiong J, Qiao Y, Yu Z, Huang Y, Yang K, He T and Zhao J (2021) T-Lymphocyte Subsets Alteration, Infection and Renal Outcome in Advanced Chronic Kidney Disease. Front. Med. 8:742419. doi: 10.3389/fmed.2021.742419

Received: 16 July 2021; Accepted: 17 August 2021;
Published: 09 September 2021.

Edited by:

Gian Marco Ghiggeri, Giannina Gaslini Institute (IRCCS), Italy

Reviewed by:

Andrea Angeletti, Giannina Gaslini Institute (IRCCS), Italy
Chun Zhang, Huazhong University of Science and Technology, China

Copyright © 2021 Xiong, Qiao, Yu, Huang, Yang, He and Zhao. 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: Jinghong Zhao, emhhb2poJiN4MDAwNDA7dG1tdS5lZHUuY24=; Ting He, dGluZ3NyMjAwMCYjeDAwMDQwO3NpbmEuY29t

These authors have contributed equally to this work

Disclaimer: 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.