Upregulation of PD-1 Expression and High sPD-L1 Levels Associated with COVID-19 Severity

Beserra, Danielle Rosa; Alberca, Ricardo Wesley; Branco, Anna Claudia Calvielli Castelo; de Mendonça Oliveira, Luana; de Souza Andrade, Milena Mary; Gozzi-Silva, Sarah Cristina; Teixeira, Franciane Mouradian Emidio; Yendo, Tatiana Mina; da Silva Duarte, Alberto José; Sato, Maria Notomi

doi:https://doi.org/10.1155/2022/9764002

Journal of Immunology Research

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Abstract Introduction Materials and Methods Results Discussion Conclusion Data Availability Conflicts of Interest Authors’ Contributions Acknowledgments Supplementary Materials References Copyright Related Articles

Research Article | Open Access

Volume 2022 | Article ID 9764002 | https://doi.org/10.1155/2022/9764002

Upregulation of PD-1 Expression and High sPD-L1 Levels Associated with COVID-19 Severity

Danielle Rosa Beserra,¹Ricardo Wesley Alberca,¹Anna Claudia Calvielli Castelo Branco,¹Luana de Mendonça Oliveira,¹Milena Mary de Souza Andrade,¹Sarah Cristina Gozzi-Silva,¹Franciane Mouradian Emidio Teixeira,¹Tatiana Mina Yendo,²Alberto José da Silva Duarte,¹and Maria Notomi Sato¹

Academic Editor: Baohui Xu

Received01 Jun 2022

Revised01 Jul 2022

Accepted07 Jul 2022

Published01 Aug 2022

Abstract

COVID-19 has several mechanisms that can lead to lymphocyte depletion/exhaustion. The checkpoint inhibitor molecule programmed death protein 1 (PD-1) and its programmed death-ligand 1 (PDL-1) play an important role in inhibiting cellular activity as well as the depletion of these cells. In this study, we evaluated PD-1 expression in TCD4+, TCD8+, and CD19+ lymphocytes from SARS-CoV-2-infected patients. A decreased frequency of total lymphocytes and an increased PD-1 expression in TCD4+ and CD19+ lymphocytes were verified in severe/critical COVID-19 patients. In addition, we found a decreased frequency of total monocytes with an increased PD-1 expression on CD14+ monocytes in severe/critical patients in association with the time of infection. Moreover, we observed an increase in sPD-L1 circulant levels associated with the severity of the disease. Overall, these data indicate an important role of the PD-1/PDL-1 axis in COVID-19 and may provide a severity-associated biomarker and therapeutic target during SARS-CoV-2 infection.

1. Introduction

In late 2019, the emergence of a novel betacoronavirus was reported in Wuhan, China, causing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is responsible for the pandemic coronavirus disease 2019 (COVID-19). Immune adaptive response is crucial for the immune response to COVID-19. SARS-CoV-2-specific TCD4+ lymphocytes producing IFN-γ, TNF, and IL-2 act in the proinflammatory antiviral response, and follicular T helper cells to induce B cells in affinity maturation and antibody production. In addition, TCD4+ cells cooperate the proliferation of TCD8+ cells [1]. Furthermore, rapid induction of TCD4+ cells during the acute phase of COVID-19 is associated with mild disease and the associated absence with severe or fatal disease [2, 3]. Cytotoxic TCD8+ lymphocytes specific for SARS-CoV-2 also play an important role promoting elimination of the infected cells [4]. In the acute phase of the disease, they show high levels of molecules related to cytotoxic functions, such as IFN-γ, granzyme B, perforin, and CD107a, being important for prognosis [5]. B-lymphocytes act mainly in the production of neutralizing antibodies, with the receptor-binding domain portion of the S protein of SARS-CoV-2 as the main target [6, 7].

However, some mechanisms induced by SARS-CoV-2 lead to depletion and exhaustion of lymphocytes in infected patients, due to a direct infection of T-cells via the ACE2 receptor and also the ability of SARS-CoV-2 to lead to atrophy of secondary lymphoid organs, such as the spleen and lymph node [8, 9]. Lymphocyte exhaustion is mainly characterized by the expression of programmed death inhibitory receptor 1 (PD-1) and programmed death ligand 1 (PDL-1) [10], important mediators of central and peripheral immune tolerance and immune exhaustion. High expression levels of PD-1 in T-cells are associated with exhaustion in various viral infections such as HIV, hepatitis B, and hepatitis C [11–13]. In TCD8+ cells, high PD-1 expression can lead to the inability of the cytokine secretion, prevents cell proliferation, and decreases their cytotoxic capacity [14, 15]. In TCD4+ cells, high levels of PD-1 are also correlated with inhibition of cell proliferation and decreased effector functions. Also, it is described that high PD-1 levels, in B-lymphocytes make them able to suppress TCD4+ and TCD8+ lymphocytes via the PD-1/PD-L1-dependent pathway [16]. Monocytes also have an important role in the immune response against COVID-19, where they are recruited by inflammatory mediators to the site of infection and differentiate into inflammatory macrophages and DC-like phenotypes (dendritic cells) to fulfill their effector functions of pro- and anti-inflammatory activities, antigen presentation, and tissue remodeling [17]. The PD-1/PD-L1 axis may also influence the immune response of these cells. In patients with hepatocellular carcinoma, PD-1 expression in monocytes is associated with induction of IL-10 secretion, leading to inhibition of TCD4+ cell activity in HIV patients [18]. Elevated IL-10 levels in COVID-19 patients may be related to the PD-1/PD-L1 axis in the development of acute viral infections and monocyte rearrangement [19]. Furthermore, monocyte depletion in moderate and severe patients was associated with higher frequency of effector memory T-cells expressing the PD-1 depletion marker in COVID-19 [20], suggesting important role of monocytes in the course of the adaptive immune response to SARS-CoV-2.

Taken together, investigation of the modulation of the PD-1/PD-L1 axis in lymphocytes and monocytes in SARS-CoV-2 infection, their soluble forms, and its relationship to the course of the disease becomes necessary.

2. Materials and Methods

2.1. Ethics Declaration

The study was approved by the Ethics Committee of the Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo–HC-FMUSP (CAAE 30800520.7.0000.0068-2020).

2.2. Casuistic and Methods

The blood collected with EDTA from patients with COVID-19 was proceeding from the Clinical Division of the Central Laboratory of the Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP). The samples were kept at 4°C and analyzed the following day. The study was approved by the Ethics Committee of HC-FMUSP (no. 30800520.7.0000.0068-2020) and was carried out in conformity with the 2013 revision of the Declaration of Helsinki. For inclusion in the study, only samples from patients with a confirmed diagnosis for COVID-19 through the detection of SARS-CoV-2 RNA by reverse transcriptase-polymerase chain reaction were used. Patients over 75 years of age, with neoplasms, transplanted, who are pregnant, and who did not have a positive result for SARS-CoV-2 were excluded from the study. As a healthy control group, individuals without an active SARS-CoV-2 infection and aged over 18 were selected. Patients’ samples were collected between May 2020 and September 2021. Patients were divided into mild cases, in which no oxygen therapy or oxygen by mask/nasal prong was required; severe cases, in which they were submitted to noninvasive ventilation; and critical cases, in which they were submitted to invasive mechanical ventilation support, by the time of sample collection, according to Therapeutic Trial Synopsis, WHO (2020). In total, samples from 146 individuals were used: 40 of them for phenotypic analysis and 52 for the absolute values of lymphocytes and monocytes; and all samples were used for ELISA assay. The samples of 21 healthy individuals age-matched were used as control.

2.3. PD-1 Expression by Flow Cytometry

Peripheral blood samples (100 μL) were incubated with viability marker LIVE/DEAD Fixable Red Dead Cell Stain Kit (Invitrogen, Carlsbad, CA, USA) for 20 minutes at room temperature. After that, it was followed by incubation with surface antibodies to CD3/BV605 (clone SK7), CD4/V500 (clone RPA-T4), CD8/V450 (clone RPA-T8), CD19/PE-Cy7 (clone SJ25C1), CD14/PERCP (clone MφP9), or PD1/APC (clone MIH4) (BD Biosciences, CA, USA) for 30 minutes at room temperature. Next, the samples were fixed with 4% formalin for 15 minutes and the RBCs were lysed with FACS Lysing Reagent (BD Biosciences) for 15 minutes at room temperature. Subsequently, the cells were washed and resuspended in a phosphate buffer, and the acquisition was performed in the flow cytometer LSR Fortessa (BD Biosciences). Approximately 100,000 events per sample were acquired. FlowJo™ software was used to analyze the data obtained.

2.4. Measurement of Soluble PD1 and PD-L1

Serum from SARS-CoV-2-infected patients and healthy controls was measured for sPD1 and sPD-L1 by ELISA (Duo-set, R&D, Minneapolis, MN, USA), according to the manufacturer’s instructions.

2.5. Statistical Analysis

The results were expressed as the median and interquartile range (IQR). The nonparametric Kruskal-Wallis test was used to compare three groups of data. Statistical analyses were performed using Prism 9.0. was considered significant when ≤0.05.

3. Results

3.1. Demographics of the Cohort Studied

Demographics of COVID-19-infected patients and healthy controls are down in Table 1.

3.2. Increased Expression of PD-1 in T and B-Lymphocytes and Monocytes in Patients with COVID-19

Individuals infected with SARS-CoV-2 showed a decreased frequency of total lymphocytes in all patients (Figure 1(c)); however, lymphopenia was only observed in patients with severe and critical symptoms (Figure 1(b)). Gate strategy of COVID patients is shown in Figure 1(a), and one representative for healthy control is shown in Supplementary Figure 1.

(a)

(b)

(c)

(d)

(e)

(f)

(g)

(h)

(i)

(j)

(k)

Figure 1

Upregulation of PD-1 in lymphocytes and monocytes of patients with COVID-19. Strategy of the analyses for TCD4+, TCD8+, CD19+, and monocytes expressing PD-1 (a); absolute values of total lymphocytes in patients with moderate (), severe (open symbol, ), and critical (red symbol, ) disease and healthy control () (b). Frequency of total lymphocytes (c), CD4+ CD3+ T-cells (d), CD4+ PD-1+ T-cells (e), CD8+ CD3+ T-cells (f), CD8+ PD1+ T-cells (g), CD19+ cells (h), CD19+ PD-1+ cells (i), total monocyte frequency (j), and CD14+ PD-1+ cells (k) assessed by flow cytometry in peripheral blood samples of control subjects () and patients in moderate (), severe (open symbol, ), and critical (red symbol, ) clinical status. , , and .

Even though the frequency of TCD4+ does not change in COVID-19 patients compared to healthy control (Figure 1(d)), an increased PD-1 expression on TCD4+ cells was observed in patients with severe and critical symptoms (Figure 1(e)). The frequency of TCD8+ cells does not vary (Figure 1(f)) as well as the PD-1 expression between the analyzed groups (Figure 1(g)).

We also observed an upregulation of PD-1 expression on B-cells in both mild and severe groups (Figure 1(i)). Total monocytes decreased in frequency in moderate patients (Figure 1(j)); meanwhile, PD-1 expression was increased on CD14+ monocytes in patients with severe and critical symptoms (Figure 1(k)). Next, we sorted patients based on the infection time (1-7 days after diagnosis of SARS-CoV-2 by PCR and 8-25 days after), and we observed the percentage of CD14+PD1+ cells increased along the time of infection (Figure 2(i)).

Figure 2

Increased expression of PD-1 on CD14+ monocytes is associated with the duration of SARS-CoV-2 infection. Frequency of total lymphocytes (a), CD4+ CD3+ T-cells (b), CD4+ PD-1+ T-cells (c), CD8+ CD3+ T-cells (d), CD8+ PD1+ T-cells (e), CD19+ cells (f), CD19+ PD-1+ cells (g), total monocyte frequency (h), and CD14+ PD-1+ cells (i) assessed by flow cytometry in peripheral blood samples of control subjects () and patients in moderate (), severe (open symbol ), and critical (red symbol, ) clinical status. .

3.3. High Levels of sPD-L1 in the Severity Course of COVID-19

We evaluated the levels of soluble PD-1 and PD-L1 in the serum of 127 patients with 15 control subjects. Similar levels of sPD-1 were detected between the groups (Figure 3(a)); however, there were sPDL-1 increased levels in patients with severe and critical symptoms compared to healthy controls (Figure 3(b)). Moreover, no difference was observed according to sPD-1 (Figure 3(c)) and sPD-L1 (Figure 3(d)) levels along the time of diagnosis for SARS-CoV-2 infection.

4. Discussion

In the phenotypic analysis of patients’ lymphocytes, we observed a decrease in the frequency of total lymphocytes and lymphopenia only in patients with severe and critical symptoms. In cases of COVID-19, lymphocyte depletion has been described [21, 22]. Several factors may contribute to this picture in affected patients, such as infection of SARS-CoV-2 in T-lymphocytes through the ACE2 receptor [23], involvement of secondary lymphoid organs such as spleen and lymph node [24], and also the COVID-19-characteristic cytokine storm, where elevated levels of TNF-symbol, IL-6, and IL-10 are associated with lymphocyte depletion [25]. Programmed death inhibitory receptor 1 (PD-1) together with its programmed death-ligand 1 (PD-L1) is a key biomarker of lymphocyte depletion [10], where the increased expression of PD-1 blocks signaling pathways such as PI3K/AKT that suppress phosphorylation of PIP2/PIP3 proteins, andthe RAS/MEK/ERK axis, causing the inhibition of lymphocyte proliferation and differentiation. Furthermore, high levels of PD-1/PD-L1 can also suppress glycolysis and direct these cells to the use of lipolysis and fatty acid oxidation for metabolism, slowing it down and potentially contributing to apoptosis [26].

Although the frequency of TCD4+ cells was not altered, we saw an increase in PD-1 expression in patients with severe and critical symptoms. Elevated PD-1 levels in TCD4+ cells are associated with the inhibition of cell proliferation and decreased effector functions [27]. Furthermore, upregulation of PD-1 in T-cells was observed during the progression of symptomatic stages of COVID-19 [28], which contributes to the evolution of the severe form of the disease [23]. In the analysis of TCD8+ cells, we did not observe any difference regarding the frequency or the expression of PD-1; however, one study demonstrated that TCD8+ cells expressing PD-1 may not show dysfunctionality in the acute phase of the disease, suggesting that PD-1 expression in these cells is related to their activation and not necessarily to a depletion picture in COVID-19 [29]. In B-lymphocytes, no difference in frequency was seen either; however, an increased PD-1 expression was observed in all patient groups, with higher expression in patients with severe and critical symptoms. The PD-1/PD-L1 axis has critical regulators of humoral immunity [30]. In diseases such as cancer and HIV, increased PD-1 on B-cells has been associated with disease progression [31, 32]. Furthermore, high levels of PD-1 inhibit B-cell proliferation as well as cytokine production via the B-cell receptor, which positively regulates PD-1 expression [33]. Thus, the exhaustion profile of B-cells may be indicative of the severity of SARS-CoV-2 infection.

Monocytes also play an important role in viral infections and are crucial for a successful immune response [17]. We observed decreased monocyte frequency in patients with moderate symptoms; however, when assessing CD14+PD1+ monocytes, we saw increased PD-1 in patients with severe and critical symptoms, being related to the longer duration of the infection. Increased PD-1 expression in monocytes has been associated with their functional dysfunction during sepsis, suggesting that PD-1 can be used as a marker of the development of monocyte dysfunction [34, 35]. In SARS-CoV-2, infection viral sepsis caused by cytokine storm and microcirculation dysfunction has been associated with the disease severity [36, 37]. With this, increased PD-1 expression in monocytes in COVID-19 may be a possible biomarker for the severity of the infection.

PD-1/PD-L1 proteins also have other forms such as their soluble portion sPD-1 and sPD-L1, important immune-regulatory markers described in various pathologies [38]. Elevated levels of sPD-L1 have been observed in patients with acute pancreatitis, rheumatoid arthritis, chronic hepatitis C, and HIV, associated with the severity and progression of these pathologies [39–42]. We analyzed the levels of sPD-1 and sPD-L1 in patients’ serum and observed increased sPD-L1 in patients with severe and critical symptoms, indicating that sPD-L1 may also be related to the severity of COVID-19. Furthermore, high levels of sPD-L1 can induce suppressive effects on activated T-cells through its binding to the PD-1 receptor on the surface of these cells, positively regulating an increased PD-1 expression [43]. The increased sPD-L1 level was also observed in the serum of patients with idiopathic pulmonary fibrosis [44], a pathology related to a higher risk of severe COVID-19 [45].

5. Conclusion

Our findings highlight the potential role of the PD-1/PD-L1 axis in COVID-19 and suggest a prognostic role for sPD-L1, labeling it as a biomarker of interest in SARS-CoV-2 infection.

Data Availability

All datasets generated in this study are included in the article.

Conflicts of Interest

The authors declare that there is no conflict of interest regarding the publication of this article.

Authors’ Contributions

DB and MNS were involved in the study design, interpretation of results, and manuscript preparation; DB, ACCC, LM, RW, FME, and MMS performed the experiments; SC and AJSD were involved in the recruitment of subjects. All authors reviewed and contributed to the preparation of the manuscript and approved the final draft for submission.

Acknowledgments

This work was supported by the Laboratory of Dermatology and Immunodeficiencies (LIM-56) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) grant no. 88887.503842/2020-00.

Supplementary Materials

Supplementary Figure 1: strategy of the analyses for TCD4+, TCD8+, and CD19+ cells and monocytes expressing PD-1 from healthy controls. (Supplementary Materials)

References

A. Sette and S. Crotty, “Adaptive immunity to SARS-CoV-2 and COVID-19,” Cell, vol. 184, no. 4, pp. 861–880, 2021.
View at: Publisher Site | Google Scholar
A. T. Tan, M. Linster, C. W. Tan et al., “Early induction of SARS-CoV-2 specific T cells associates with rapid viral clearance and mild disease in COVID-19 patients,” Biorxiv, vol. 5, no. 8, pp. 11–22, 2020.
View at: Publisher Site | Google Scholar
J. Braun, L. Loyal, M. Frentsch et al., “SARS-CoV-2-reactive T cells in healthy donors and patients with COVID-19,” Nature, vol. 587, no. 7833, pp. 270–274, 2020.
View at: Publisher Site | Google Scholar
P. Yanchun, J. Mentzer Alexander, L. Guihai et al., “Broad and strong memory CD4⁺ and CD8⁺ T cells induced by SARS-CoV-2 in UK convalescent individuals following COVID-19,” Nature Immunology, vol. 21, no. 11, pp. 1336–1345, 2020.
View at: Publisher Site | Google Scholar
M. C. Rydyznski, I. Ramirez Sydney, M. Dan Jennifer et al., “Antigen-specific adaptive immunity to SARS-CoV-2 in acute COVID-19 and associations with age and disease severity,” Cell, vol. 183, no. 4, pp. 996–1012.e19, 2020.
View at: Publisher Site | Google Scholar
T. Irani, H. O. Nguyen Thi, K. Marios et al., “Breadth of concomitant immune responses prior to patient recovery: a case report of non-severe COVID-19,” Nature Medicine, vol. 26, no. 4, pp. 453–455, 2020.
View at: Publisher Site | Google Scholar
P. J. M. Brouwer, T. G. Caniels, K. Straten et al., “Potent neutralizing antibodies from COVID-19 patients define multiple targets of vulnerability,” Science, vol. 369, no. 6504, pp. 643–650, 2020.
View at: Publisher Site | Google Scholar
X. Yang, Y. Yu, J. Xu et al., “Clinical course and outcomes of critically Ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study,” The Lancet Respiratory Medicine, vol. 8, no. 5, pp. 475–481, 2020.
View at: Publisher Site | Google Scholar
L. Shiqin, L. Sijia, D. Cyrollah et al., “SARS-CoV-2: mechanism of infection and emerging technologies for future prospects,” Reviews In Medical Virology, vol. 31, no. 2, pp. 1–15, 2021.
View at: Publisher Site | Google Scholar
S. Kaori, A. Lionel, M. Sullivan Jenna, R. Blazar Bruce, K. Kuchroo Vijay, and C. Anderson Ana, “Targeting Tim-3 and PD-1 pathways to reverse T cell exhaustion and restore anti-tumor immunity,” Journal Of Experimental Medicine, vol. 207, no. 10, pp. 2187–2194, 2010.
View at: Publisher Site | Google Scholar
L. Day Cheryl, E. Kaufmann Daniel, K. Photini et al., “PD-1 expression on HIV-specific T cells is associated with T-cell exhaustion and disease progression,” Nature, vol. 443, no. 7109, pp. 350–354, 2006.
View at: Publisher Site | Google Scholar
S. Urbani, B. Amadei, D. Tola et al., “PD-1 expression in acute hepatitis C virus (HCV) infection is associated with HCV-specific CD8 exhaustion,” Journal of Virology, vol. 80, no. 22, pp. 11398–11403, 2006.
View at: Publisher Site | Google Scholar
B. Tobias, P. Elisabeth, B. Bertram et al., “Expression of the interleukin-7 receptor alpha chain (CD127) on virus-specific CD8⁺ T cells identifies functionally and phenotypically defined memory T cells during acute resolving hepatitis B virus infection,” Journal of Virology, vol. 80, no. 7, pp. 3532–3540, 2006.
View at: Publisher Site | Google Scholar
V. Parry Richard, M. Chemnitz Jens, A. Frauwirth Kenneth et al., “CTLA-4 and PD-1 receptors inhibit T-cell activation by distinct mechanisms,” Molecular and Cellular Biology, vol. 25, no. 21, pp. 9543–9553, 2005.
View at: Publisher Site | Google Scholar
H. Enfu, C. Jeanne, Z. Jing et al., “T cell costimulatory receptor CD28 is a primary target for PD-1–mediated inhibition,” Science, vol. 355, no. 6332, pp. 1428–1433, 2017.
View at: Publisher Site | Google Scholar
W. Xufu, W. Guoqiang, W. Zenghua et al., “PD-1-expressing B cells suppress CD4⁺ and CD8⁺ T cells via PD-1/PD-L1-dependent pathway,” Molecular Immunology, vol. 109, pp. 20–26, 2019.
View at: Publisher Site | Google Scholar
M. Guilliams, A. Mildner, and S. Yona, “Developmental and functional heterogeneity of monocytes,” Immunity, vol. 49, no. 4, pp. 595–613, 2018.
View at: Publisher Site | Google Scholar
E. A. Said, F. P. Dupuy, L. Trautmann et al., “Programmed death-1-induced interleukin-10 production by monocytes impairs CD4⁺ T cell activation during HIV infection,” Nature Medicine, vol. 16, no. 4, pp. 452–459, 2010.
View at: Publisher Site | Google Scholar
Z. Parackova, I. Zentsova, M. Bloomfield et al., “Disharmonic inflammatory signatures in COVID-19: augmented neutrophils’ but impaired monocytes’ and dendritic cells’ responsiveness,” Cells, vol. 9, no. 10, p. 2206, 2020.
View at: Publisher Site | Google Scholar
L. E. Padgett, “Interplay of monocytes and T lymphocytes in COVID-19 severity,” Immunology, vol. 18, 2020.
View at: Publisher Site | Google Scholar
J. Lee, S.-S. Park, T. Y. Kim, D.-G. Lee, and D.-W. Kim, “Lymphopenia as a biological predictor of outcomes in COVID-19 patients: a nationwide cohort study,” Cancers, vol. 13, no. 3, p. 471, 2021.
View at: Publisher Site | Google Scholar
H. F. Peñaloza, J. S. Lee, and P. Ray, “Neutrophils and lymphopenia, an unknown axis in severe COVID-19 disease,” PLOS Pathogens, vol. 17, no. 9, article e1009850, 2021.
View at: Publisher Site | Google Scholar
H. Y. Zheng, M. Zhang, C. X. Yang et al., “Elevated exhaustion levels and reduced functional diversity of T cells in peripheral blood may predict severe progression in COVID-19 patients,” Cellular & Molecular Immunology, vol. 17, no. 5, pp. 541–543, 2020.
View at: Publisher Site | Google Scholar
X. Wang, G. Wang, Z. Wang et al., “PD-1- expressing B cells suppress CD4⁺ and CD8⁺ T cells via PD-1/PD-L1- dependent pathway,” Molecular Immunology, vol. 109, pp. 20–26, 2019.
View at: Publisher Site | Google Scholar
C. Moon, “Fighting COVID-19 exhausts T cells,” Nature Reviews Immunology, vol. 20, no. 5, p. 277, 2020.
View at: Publisher Site | Google Scholar
M. Ashrafizadeh, A. Zarrabi, K. Hushmandi et al., “PD-1/PD-L1 axis regulation in cancer therapy: the role of long non-coding RNAs and microRNAs,” Life Sciences, vol. 256, p. 117899, 2020.
View at: Publisher Site | Google Scholar
M. Zheng, Y. Gao, G. Wang et al., “Functional exhaustion of antiviral lymphocytes in COVID-19 patients,” Cellular & Molecular Immunology, vol. 17, no. 5, pp. 533–535, 2020.
View at: Publisher Site | Google Scholar
B. Diao, C. Wang, Y. Tan et al., “Reduction and functional exhaustion of T cells in patients with coronavirus disease 2019 (COVID-19),” Frontiers in Immunology, vol. 11, 2020.
View at: Publisher Site | Google Scholar
M.-S. Rha, H. W. Jeong, J.-H. Ko et al., “PD-1-expressing SARS-CoV-2-specific CD8⁺ T cells are not exhausted, but functional in patients with COVID-19,” Immunity, vol. 54, no. 1, pp. 44–52.e3, 2021.
View at: Publisher Site | Google Scholar
A. R. Khan, E. Hams, A. Floudas, T. Sparwasser, C. T. Weaver, and P. G. Fallon, “PD-L1^hi B cells are critical regulators of humoral immunity,” Nature Communications, vol. 6, no. 1, p. 5997, 2015.
View at: Publisher Site | Google Scholar
B. Siewe, J. T. Stapleton, J. Martinson et al., “Regulatory B cell frequency correlates with markers of HIV disease progression and attenuates anti-HIV CD8⁺ T cell function in vitro,” Journal of Leukocyte Biology, vol. 93, no. 5, pp. 811–818, 2013.
View at: Publisher Site | Google Scholar
X. Xiao, X.-M. Lao, M.-M. Chen et al., “PD-1^hi identifies a novel regulatory B-cell population in human hepatoma that promotes disease progression,” Cancer Discovery, vol. 6, no. 5, pp. 546–559, 2016.
View at: Publisher Site | Google Scholar
T. Okazaki, A. Maeda, H. Nishimura, T. Kurosaki, and T. Honjo, “PD-1 immunoreceptor inhibits B cell receptor-mediated signaling by recruiting src homology 2-domain-containing tyrosine phosphatase 2 to phosphotyrosine,” Proceedings of the National Academy of Sciences, vol. 98, no. 24, pp. 13866–13871, 2001.
View at: Publisher Site | Google Scholar
M. Zasada, M. Lenart, M. Rutkowska-Zapała et al., “Analysis of PD-1 expression in the monocyte subsets from non-septic and septic preterm neonates,” Plos One, vol. 12, no. 10, p. e0186819, 2017.
View at: Publisher Site | Google Scholar
X. Huang, F. Venet, Y. L. Wang et al., “PD-1 expression by macrophages plays a pathologic role in altering microbial clearance and the innate inflammatory response to sepsis,” Proceedings of the National Academy of Sciences, vol. 106, no. 15, pp. 6303–6308, 2009.
View at: Publisher Site | Google Scholar
H. Li, L. Liu, D. Zhang et al., “SARS-CoV-2 and viral sepsis: observations and hypotheses,” The Lancet, vol. 395, no. 10235, pp. 1517–1520, 2020.
View at: Publisher Site | Google Scholar
E. Karakike, E. J. Giamarellos-Bourboulis, M. Kyprianou et al., “Coronavirus disease 2019 as cause of viral sepsis: a systematic review and meta-analysis,” Critical Care Medicine, vol. 49, no. 12, pp. 2042–2057, 2021.
View at: Publisher Site | Google Scholar
C. Bailly, X. Thuru, and B. Quesnel, “Soluble programmed death ligand-1 (SPD-L1): a pool of circulating proteins implicated in health and diseases,” Cancers, vol. 13, no. 12, p. 3034, 2021.
View at: Publisher Site | Google Scholar
T. Pan, T. Zhou, L. Li et al., “Monocyte programmed death ligand-1 expression is an early marker for predicting infectious complications in acute pancreatitis,” Critical Care, vol. 21, no. 1, p. 186, 2017.
View at: Publisher Site | Google Scholar
C. Liu, J. Jiang, L. Gao et al., “Soluble PD-1 aggravates progression of collagen-induced arthritis through Th1 and Th17 pathways,” Arthritis Research & Therapy, vol. 17, no. 1, p. 340, 2015.
View at: Publisher Site | Google Scholar
S. Yamagiwa, T. Ishikawa, N. Waguri et al., “Increase of soluble programmed cell death ligand 1 in patients with chronic hepatitis C,” International Journal of Medical Sciences, vol. 14, no. 5, pp. 403–411, 2017.
View at: Publisher Site | Google Scholar
J. Avendaño-Ortiz, M. Rubio-Garrido, R. Lozano-Rodríguez et al., “Soluble PD-L1: a potential immune marker for HIV-1 infection and virological failure,” Medicine, vol. 99, no. 20, article e20065, 2020.
View at: Publisher Site | Google Scholar
Y. Li, Y. Xiao, S. Mingquan et al., “Role of soluble programmed death-1 (sPD-1) and sPD-ligand 1 in patients with cystic echinococcosis,” Experimental and Therapeutic Medicine, vol. 11, no. 1, pp. 251–256, 2016.
View at: Publisher Site | Google Scholar
Y. Geng, X. Liu, J. Liang et al., “PD-L1 on invasive fibroblasts drives fibrosis in a humanized model of idiopathic pulmonary fibrosis,” JCI Insight, vol. 4, no. 6, article e125326, 2019.
View at: Publisher Site | Google Scholar
T. A. Taz, K. Ahmed, B. K. Paul et al., “Network-based identification genetic effect of SARS-CoV-2 infections to idiopathic pulmonary fibrosis (IPF) patients,” Briefings in Bioinformatics, vol. 22, no. 2, pp. 1254–1266, 2021.
View at: Publisher Site | Google Scholar

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Copyright © 2022 Danielle Rosa Beserra et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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