Next Article in Journal
Loss of rpoE Encoding the δ-Factor of RNA Polymerase Impacts Pathophysiology of the Streptococcus pyogenes M1T1 Strain 5448
Next Article in Special Issue
Coinfection of Dermal Fibroblasts by Human Cytomegalovirus and Human Herpesvirus 6 Can Boost the Expression of Fibrosis-Associated MicroRNAs
Previous Article in Journal
Evidence of Community-Wide Spread of Multi-Drug Resistant Escherichia coli in Young Children in Lusaka and Ndola Districts, Zambia
Previous Article in Special Issue
Human Cytomegalovirus and Human Herpesvirus 6 Coinfection of Dermal Fibroblasts Enhances the Pro-Inflammatory Pathway Predisposing to Fibrosis: The Possible Impact on Systemic Sclerosis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Herpesvirus Screening in Childhood Hematopoietic Transplant Reveals High Systemic Inflammation in Episodes of Multiple Viral Detection and an EBV Association with Elevated IL-1β, IL-8 and Graft-Versus-Host Disease

by
Moisés H. Rojas-Rechy
1,2,
Félix Gaytán-Morales
3,
Yessica Sánchez-Ponce
1,
Iván Castorena-Villa
3,
Briceida López-Martínez
4,
Israel Parra-Ortega
5,
María C. Escamilla-Núñez
6,
Alfonso Méndez-Tenorio
7,
Ericka N. Pompa-Mera
8,
Gustavo U. Martinez-Ruiz
9,10,
Ezequiel M. Fuentes-Pananá
1,* and
Abigail Morales-Sánchez
1,*
1
Research Unit in Virology and Cancer, Children’s Hospital of Mexico Federico Gomez, Mexico City 06720, Mexico
2
Postgraduate Program in Biomedicine and Molecular Biotechnology, National Polytechnic Institute, Mexico City 11340, Mexico
3
Bone Marrow Transplant Service, Children’s Hospital of Mexico Federico Gomez, Mexico City 06720, Mexico
4
Sub-Direction of Diagnostic Auxiliary Services, Children’s Hospital of Mexico Federico Gomez, Mexico City 06720, Mexico
5
Department of Clinical Laboratory, Children’s Hospital of Mexico Federico Gomez, Mexico City 06720, Mexico
6
National Institute of Public Health, Cuernavaca 62100, Mexico
7
Laboratorio de Biotecnología y Bioinformática Genómica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City 11340, Mexico
8
Infectious and Parasitic Disease Medical Research Unit (UIMEIP), Pediatric Hospital in National Medical Center (CMN-SIGLO XXI), Mexican Institute of Social Security (IMSS), Mexico City 06720, Mexico
9
División de Investigación, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
10
Laboratorio de Investigación en Patología Experimental, Children’s Hospital of Mexico Federico Gomez, Mexico City 06720, Mexico
*
Authors to whom correspondence should be addressed.
Microorganisms 2022, 10(8), 1685; https://doi.org/10.3390/microorganisms10081685
Submission received: 5 July 2022 / Revised: 14 August 2022 / Accepted: 18 August 2022 / Published: 22 August 2022

Abstract

:
Infections remain a major cause of morbidity and mortality among hematopoietic stem cell transplant (HSCT) recipients. Unlike Epstein–Barr Virus (EBV) and Human Cytomegalovirus (HCMV), Human Herpesvirus (HHV) 6, HHV7 and HHV8 are not routinely monitored in many centers, especially in the pediatric population of low–medium income countries. We screened EBV, HCMV, HHV6, HHV7 and HHV8 in 412 leukocytes-plasma paired samples from 40 pediatric patients assisted in a tertiary hospital in Mexico. Thirty-two underwent allo-HSCT, whereas eight received auto-HSCT. Overall viral detection frequencies in allo- and auto-HSCT were: EBV = 43.7% and 30.0%, HCMV = 5.0% and 6.7%, HHV6 = 7.9% and 20.0% and HHV7 = 9.7% and 23.3%. HHV8 was not detected in any sample. Interestingly, HHV6 and HHV7 were more frequent in auto-HSCT, and HHV6 was observed in all episodes of multiple detection in auto-HSCT patients. We found EBV DNA in plasma samples, whereas HCMV, HHV6 and HHV7 DNA were predominantly observed in leukocytes, indicative of their expansion in cellular compartments. We also found that IL-1β, IL-2, IL-6 and IL-8 were significantly increased in episodes in which multiple viruses were simultaneously detected, and samples positive for EBV DNA and graft-versus-host disease had a further increase of IL-1β and IL-8. In conclusion, the EBV, HCMV, HHV6 and HHV7 burdens were frequently detected in allo- and auto-HSCT, and their presence associated with systemic inflammation.

1. Introduction

Hematopoietic stem and progenitor cell transplantation (HSCT) has become a standard treatment for hematological and non-hematological diseases with no other curative alternative [1]. Graft-versus-host disease (GvHD) is a frequent multi-organ, life-threatening complication of patients undergoing allogeneic (allo)-HSCT. Allograft recipients experience a severe risk of infection given the high doses of immunosuppressant drugs they receive to prevent and treat GvHD [2]. In GvHD, donor T-cells recognize and attack antigen-bearing cells, generating symptomatic organ damage. Moreover, patients undergoing allo- and autologous (auto)-HSCT are also immune-compromised because they usually receive potent chemotherapy to treat the primary disease [1]. Since cancer is often the underlying disease of these patients, a competent immune system is central to a good donor versus cancer cell response [3]. Due to the increasing numbers of HSCTs in the world, it is urgent to dissect one from the other and recognize an increased risk of developing GvDH, but today, we are still unable to recognize protective from pathogenic immunity.
One of the most critical challenges for HSCT recipients is the occurrence of viral infections caused by human herpesviruses (HHV) [4]. Herpesviruses are among the most prevalent infections in humans, usually starting at an early age and persisting for the lifetime of the infected individual. Each herpesvirus infects from 70–100% of adults worldwide, with most children chronically carrying up to seven of these viruses. Infection is usually asymptomatic, but there are clinical settings, such as immunosuppression, in which these viruses can be reactivated and associated with disease [5]. Indeed, beyond a clinical setting, peripheral blood viral loads of these viruses are usually undetectable.
Human cytomegalovirus (HCMV) and Epstein–Barr virus (EBV) are the most studied viruses in a transplantation setting and are known to cause end-organ disease and post-transplant lymphoproliferative disease, respectively. In addition, EBV and HCMV reactivations are associated with a poorer prognosis in adult patients with HSCT [2,3,4]. The incidence and implications of HHV6 and HHV7 reactivation have been less studied. For HHV6, complications range from mild fever and rash to encephalitis and central nervous system-related problems [6,7,8]. In general, both HHV6 and HHV7 are not routinely monitored in underdeveloped and developing countries, and their prevalence in HSCT and potential contribution to GvHD are less documented. In this study, we recruited pediatric patients who received allo-HSCT (n = 32) or auto-HSCT (n = 8), and screened EBV, HCMV, HHV6, HHV7 and HHV8 in paired leukocytes-plasma samples by multiplex qPCR. In plasma samples, we also evaluated the levels of a set of inflammatory cytokines.

2. Materials and Methods

2.1. Ethical Statement

This study (protocol numbers HIM/2016/021 SSA 1237 and HIM/2017/145 SSA 1469) was approved by the Ethical, Biosecurity and Scientific Review Boards of the Children’s Hospital of Mexico “Federico Gomez”. Parents/custodians, healthy controls (young adults) and children older than ten years of age willing to participate in the protocol signed a consent letter. Ten-year-old and younger children willing to participate in the protocol signed an assent letter. Every blood sample used in this protocol was taken only under the treating physician’s approval. The study was conducted according to the guidelines of the Declaration of Helsinki.

2.2. Patients and Clinical Samples

This study recruited pediatric patients receiving HSCT from June 2016 to April 2019. During this period, 49 children received HSCT at our institute. Of them, 46 were willing to participate. However, five were eliminated because they presented primary disease relapse during the first-month post-transplantation. In total, we included 40 pediatric patients that were followed for up to 365 days (Table 1). The study follow-up was constrained to the patients’ clinical follow-up and treatment adherence. Follow-up and sampling frequency are described in Table 1. Pre-transplant serology from some donors and patients can be found in Supplementary Table S1, but we were not able to collect all the data. Clinical and demographic data were extracted from medical records and retrospectively analyzed (Table 1). Patients received acyclovir as a prophylactic treatment to prevent complications from HCMV and HSV-1, at a dose of 1500 mg/m2/day for children weighing 40 Kg or more, and 750 mg/m2/day for children less than 40 Kg. We also included remaining blood samples from 15 healthy donors who attended the Blood Bank at our institute to donate.

2.3. DNA Isolation

We collected 1–4 mL of peripheral blood in tubes added with EDTA (BD Vacutainer). Samples were centrifugated at 3500 rpm for 15 min at 4 °C to separate the plasma from the cell pellet. The plasma was aliquoted in fresh tubes and maintained at −80 °C until use. The cell pellet was resuspended in PBS 1x. Trypan blue exclusion was used to assess cell viability. Cells were stored in lysis buffer (EL buffer, QIAGEN) at −80 °C until use. We isolated DNA from 200 μL of plasma or 1–4 × 106 leukocytes using the QIAmp 96 DNA Blood kit (QIAGEN) and the QIAmp DNA Mini Kit (QIAGEN), respectively. In a few samples with poor cellularity, less than 1 × 106 leukocytes were used for DNA extraction (Supplementary Table S2). DNA concentration and purity were evaluated by spectrophotometry with the Nanodrop One-C (Thermo Fisher Scientific, Waltham, MA, USA). For the viral screening, leukocytes and plasma specimens were analyzed separately.

2.4. Viral Detection

We previously standardized a two-tube multiplex qPCR for simultaneous detection of EBV, HCMV, HHV6 (with no distinction of HHV6A and HHV6B), HHV7 and the Kaposi-associated herpes virus KSHV/HHV8 [9]. Briefly, viral gene fragments cloned into commercially available plasmids were used to construct standard curves. The multiplex reactions were as sensitive and specific as simplex reactions within a dynamic range of at least six orders of magnitude (101 to 106 DNA copies). The limit of DNA detection (copy number) with a 95% confidence for each virus was: EBV = 21, HCMV = 18, HHV6 = 25, HHV7 = 21 and KSHV = 18. High efficiency and predictability were also assessed. PCR was performed in 20 µL final reaction using Quantitect PCR kit (QIAGEN). Each patient sample was run in three replicates. DNA quality was assessed by amplification of the beta-actin (ACTB) gene. Samples with no amplification of ACTB were eliminated. Controls with no DNA were routinely run.

2.5. Cytokine Detection

Plasma levels of G-CSF, GM-CSF, IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-10, IL-12, IL-13, IL-17, MCP-1, MIP-1β and TNFα were measured in 138 (33.5%) plasma samples using the commercial kit Bio-Plex Pro Human Cytokine 17 (BIO-RAD, Hercules, CA, USA) in the Bio-Plex 200 Systems according to the manufacturer instructions. Concentrations were expressed as Log 10 of the measure in pg/mL of plasma.

2.6. Sanger Sequencing

We used Sanger sequencing to confirm the viral identity in 10% of the positive samples (single detection and multiple detection). PCR products were purified using the QIAquick PCR Purification Kit (QIAGEN). Forward and reverse strands were sequenced in the 3500 series genetic analyzer (ThermoFisher Scientific, Waltham, MA, USA) at the National Institute of Respiratory Diseases (Mexico City, Mexico). Alignments were performed using the program Unipro UGENE version 33.0 (macOS) with accession numbers EBV: NC_007605.1, HCMV: ON119199.1, HHV6: MF511176.2 and HHV7: NC_001716.2.

2.7. Statistical Analysis

We used the proportion test to compare differences in frequencies. Wilcoxon-matched pairs test was used for paired comparisons. For multigroup analysis, we performed the Kruskal–Wallis Test and Dunn multiple comparison test as post-hoc analysis. Survival analyses were performed by the Kaplan–Meier method. For all the analyses, a p < 0.05 was considered significant. We used Prism version 9.4 (macOS) for making plots and analyzing data.

3. Results

3.1. EBV, HCMV, HHV6 and HHV7 DNA Are Detected in Allogeneic and Autologous HSCT at Different Frequencies but with a Similar Burden

We analyzed 40 pediatric patients who received HSCT. Those receiving allo-HSCT were followed for up to one year, whereas those receiving auto-HSCT were followed for up to 6 months (Table 1). We collected blood samples starting on day 7 pre-transplant and then periodically with a median of 14 and 19 days for allo- and auto-HSCT, respectively. In total, we analyzed leukocytes and plasma from 412 blood samples separately. We used multiplex qPCR (see Methods and ref. [9]) to quantify the viral load of EBV, HCMV, HHV6, HHV7 and HHV8/KSHV. These viruses are generally undetectable in peripheral blood in healthy immunocompetent hosts. Because the median age of the patients included in this study, the detection of viruses most probably reflects viral reactivation episodes in which the level of viral particles becomes detectable. We also included 15 samples from young adults who attended the hospital as volunteers to donate blood.
HHV8 was not detected in any patient, and it was not plotted in any figure. Thirty patients had at least one virus-positive sample during the follow-up. We observed 205 positive samples for at least one virus. The frequency of viral positivity, single detection and multiple detection were nearly the same for allo- and auto-HSCT (Figure 1a). Viral frequencies per virus are depicted in Table 1. EBV was the most frequent virus. Interestingly, HHV6 and HHV7 were more common in auto-HSCT than in allo-HSCT. HCMV was rarely detected. Whether this is due to the prophylactic treatment with acyclovir and whether this treatment differentially affects the detection of these viruses should be investigated in the future. In Figure 1b, we compared virus frequencies only in positive samples. EBV was significantly higher in allo-HSCT than in auto-HSCT. On the other hand, HHV6 and HHV7 frequencies were higher in auto-HSCT but with no statical significance, likely due to the low number of samples in auto-HSCT.
We next analyzed multiple detections. Overall, detection episodes with more than one herpesvirus were detected in 12.3% of the samples in allo-HSCT and 20% in auto-HSCT (Figure 1a). Nevertheless, fewer combinations of multiple detections were detected in auto-HSCT, whereas higher diversity of multiple detections was observed in allo-HSCT (Figure 1c). This was not surprising given the lower number of samples we had in auto-HSCT. Despite that, a still interesting observation is that all (100%) of multiple detection episodes in auto-HSCT involved HHV6. On the other hand, most (95.7%) of the multiple detection episodes seen in allo-HSCT included EBV. Interestingly, EBV+HHV6+HHV7 multiple detection was the most frequent regardless of the type of transplant. The low number of samples in auto-HSCT precluded doing statistical analysis.
Finally, we looked at the viral burden in the different types of transplants. EBV had the highest viral loads. Surprisingly, no differences in viral loads were observed between allo- and auto-HSCT for all the viruses (Figure 1d). In this analysis, we also included 15 samples from healthy, young adults in whom no viral load was detected.

3.2. EBV Is Mostly Found in the Acelluar Fraction, Whereas HCMV, HHV6 and HHV7 Predominantly Expand in the Cellular Compartment

We independently analyzed the viral load in leukocytes and plasma. Given the low number of samples of auto-HSCT we collected, we only included patients with allo-HSCT for this analysis. Figure 2a shows the distribution of detections in plasma and leukocytes during one year of follow-up of one patient with allo-HSCT as an example. Detection episodes in plasma and leukocytes for the rest of the patients can be found in Supplementary Figure S1.
Only 0–22.3% of the samples were simultaneously positive in leukocytes and plasma (Figure 2b). Interestingly, for HCMV, HHV6 and HHV7, the majority of positive samples were found in leukocytes (Figure 2b). On the contrary, EBV DNA was more frequently found in plasma (47%) than in cells. Furthermore, in a paired comparison of the viral load in the two specimens, we observed that EBV DNA copies were significantly higher in plasma. We did not see differences between plasma and leukocyte viral loads for the other herpesviruses (Figure 2c).

3.3. Allo-HSCT Recipients Show Increased Levels of IL-1β, IL-2, IL-6 and IL-8 during Multiple Detection Episodes

It has been shown that allograft inflammation contributes to graft rejection in solid organ transplantation [10]. To investigate the correlation between herpesvirus detection and systemic inflammation, we evaluated the plasma levels of 17 cytokines (see material and methods).
We compared samples according to their viral detection status as non-detected, single detection (any virus) and multiple detection (any double or triple detection) and included healthy donor samples as controls. We found that IL-1β, IL-2, IL-6 and IL-8 were significantly higher in multiple detection than in non-detection samples (Figure 3a). In addition, IL-1β was significantly higher in multiple detection than in single detection samples. We did not see differences in the other measured cytokines (not shown).
The majority of the samples in allo-HSCT were EBV-positive; we specifically addressed the levels of those same cytokines in EBV-single detection vs. samples in which EBV was detected with other viruses (Figure 3b). We saw the same results for IL-1β, IL-6 and IL-8. IL-1β levels increased from non-detection to EBV-single detection samples, and significantly rose in multiple detection samples. IL-6 and IL-8 levels were also significantly higher in samples with multiple detection than in samples with no detection. These results demonstrate that in multiple detection episodes, there is a systemic inflammation evidenced by high levels of IL-1β, IL-2, IL-6 and IL-8. In addition, EBV detection is the one more closely correlating with the enhanced levels of these cytokines, and at the same time, EBV reactivation may be an important driver and may have an impact on GvHD or vice versa. However, directionality cannot be determined.

3.4. Elevated Levels of IL-1β and IL-8 in EBV-Positive Samples during GvHD

In these patients, GvHD was significantly associated with poor survival (Figure 4a). We looked at the levels of cytokines in allo-recipients with or without GvHD and subclassified GVHD patients in alive or dead, but no statistical differences were found between groups (not shown). We then analyzed levels of cytokines in EBV-positive samples, comparing patients who developed GvHD or not during their follow-up. Interestingly, we saw that IL-8 was significantly increased in recipients suffering GvHD (Figure 4b). In addition, there was a trend towards an increase in the levels of IL-1β in GvHD and EBV double-positive patients.

4. Discussion

Infections remain a significant cause of morbidity and mortality in HSCT. Recipients of allo-HSCT are given high doses of immunosuppressants to prevent or treat GvHD. Conversely, upon auto-HSCT, patients do not receive immunosuppressant drugs. Still, very high doses of chemotherapy to eliminate tumors can suppress or even deplete the bone marrow [11]. In the pre-engraftment period, gastrointestinal mucositis, neutropenia, and the use of catheters constitute additional risk factors for infection in HSCT [12]. Infection complications are therefore present in recipients of both allo- and auto-HSCT. Nevertheless, the frequency and severity of infection-associated diseases can differ between the two transplant schemas. For example, fungal infection occurrence is lower than 1–2% in auto-HSCT [13,14,15]. However, the incidence of invasive fungal infections has been reported to be between 6 to 22% in allo-HSCT [16,17,18].
In this cohort of patients, EBV was the most frequently detected virus (allo-HSCT = 43.7% and auto-HSCT = 30.0%). Other authors have reported frequencies of 14.6% [19] and 42.6% [20] in allo-HSCT. The rates of herpesvirus detection may result from several factors, such as the level and type of immunosuppressant, the underlying disease, impaired lymphocyte reconstitution, the sensitivity of the diagnostic assay, or the many factors that influence herpesvirus reactivation [21]. For instance, graft T-cell depletion, the use of anti-lymphocyte serum and the use of anti-CD3 monoclonal antibodies have been tested for the prevention or treatment of GvHD [22]. However, these treatments have been shown to be risk factors for EBV-associated PTLD in HSCT patients [23]. Bonong et al. performed a meta-analysis that included 77 studies, and observed that these associations were unclear, as there were contradictory results. According to this meta-analysis, the only treatment consistently associated with enhanced EBV burden and PTLD was anti-thymocyte immunoglobulin [24].
HCMV had a low frequency of detection in both allo- (5.0%) and auto-(6.7%) HSCT in our analysis. Other studies reported similar loads in both transplant schemes when prophylactic therapy was given to patients [4,25]. In the literature, HCMV detection ranges from 28 to 88%. It has been associated with an increased risk of overall mortality and non-relapse mortality [26].
Although auto-HSCT usually involves shorter or less patients’ hospitalizations, we observed that the frequencies of detection of HHV6 and HHV7 were most frequent in the first 100 post-transplant days in the auto- HSCT than in the allo-HSCT (20 vs. 7.9% and 23.3 vs. 9.7%, respectively). This is interesting since the immune reconstitution in auto-HSCT is faster. Nevertheless, the number of patients/samples is uneven between the two types of transplants and then not enough to make a conclusion. HHV6 studies also observed a wide range of detection frequencies, from 13.9% to 93.6% [27]. According to a meta-analysis, reactivation of this virus is associated with GvHD [27]. Finally, HHV7 had reported frequencies going from 8.6% to 60%, with a weak association with encephalitis [28,29], severe GvHD and sepsis secondary to severe immunosuppression.
We did not observe an association between detection (either single or multiple) and GvHD perhaps because of the number of samples tested or the follow-up time. Interestingly, we found that HHV6 was present in all multiple detection episodes in auto-HSCT, i.e., patients who were only followed for six months. Another study also reported HHV6 as the most frequently detected virus [4]. The most frequently observed viruses in simple detection maintained their frequency in multiple detections. Unlike EBV and HCMV, HHV6 and HHV7 are not routinely screened in many centers [30]. Our data and the studies mentioned above support that HHV6 and HHV7 should be included in the routine testing of transplanted patients with hematopoietic stem cells and solid organs. Indeed, other studies have shown an association between multiple detection and clinical symptoms—for instance, EBV and HCMV co-detection with lower one-year overall survival and lower one-year leukemia-free survival [10] and with increased PTLD risk [31]. Multiple detections of HCMV, HHV6 and HHV7 has also been associated with HCMV syndrome, hyperbilirubinemia and thrombocytopenia [32].
The utility of some interleukins as biomarkers, in guiding clinical therapy for patients with GvHD has been the source of considerable interest [33]. In this regard, we also tested a wide array of Th1/Th2/Th17 cytokines together with a few chemokines influencing myeloid cell function. We observed an increase in the levels of IL-1β, IL-2, IL-6 and IL-8 correlating with multiple herpesvirus detection. In addition, the samples positive for EBV DNA and for GvHD had a further increase in the levels of IL-1β and IL-8. Whether EBV is the cause or consequence of the increased cytokine levels and the correlation with GvHD is not known. We think that it is interesting that EBV DNA was mainly detected in plasma and that the viral load was significantly higher in plasma than in leukocytes, contrary to the other viruses tested, which together may support potential mechanisms of viral reactivation and/or cellular-death-driven inflammation. Tanaka J. et al. observed that peripheral blood mononuclear cells isolated from GvHD patients expressed high levels of IL-6 mRNA [34], and IL-6 has been consistently found elevated in chronic GvHD [35], and has been recognized as one of the participants of the cytokine storm involved in hyper-acute GvHD [36]. The use of Ruxolitinib, a JAK inhibitor that results in diminished IL-6 expression, has been proposed to treat GvHD. In a clinical study, 85% of patients responded to Ruxolitinib and the six-month overall survival was 97.4% [37] (ClinicalTrials.gov number, NCT03112603). On the contrary, low doses of IL-2 have been shown to protect patients and mice in experimental models of HSCT against GvHD [38]. IL-2 is an important cytokine for the development of CD4 T-cells, including immune suppressive Tregs [39], and low absolute numbers of Tregs characterize patients with GvHD. Low-dose IL-2 enhanced Treg numbers and alleviated symptoms associated with GvHD [40].
Tanaka J. et al. also found elevated IL-1β transcription in PBMCs from GvHD patients [34]. Single nucleotide polymorphisms and variable number tandem repeats in the IL-1β promoter that drive higher expression of this cytokine have been shown to increase the risk for GvHD [41]. In a mouse model of GvHD an inhibitor of the IL-1 receptor prevented the appearance of GvHD [42]. However, in a clinical double-blinded, placebo-controlled randomized trial, the use of IL-1β receptor antagonists did not prevent the development of GvHD [43]. Since IL-1β is also a cytokine that participates in the homeostasis of tissues, [41] the use of antagonists may be toxic and complicate the picture of a potential prophylactic or therapeutic effect. The JAK inhibitor Ruxolitinib also prevents the expression of IL-8 [44], and elevated IL-8 correlates with the risk of GvHD [45,46]. Both IL-1β and IL-8 have been found elevated in EBV-positive nasopharyngeal carcinoma (NPC), and polymorphisms in IL-1β correlate with the risk of this disease in endemic regions [47,48]. Moreover, elevated IL-8 is characteristic of multiple EBV-associated diseases, such as NPC, gastric cancer, hemophagocytosis, chronic periodontitis, multiple sclerosis, murine models of NK/T lymphoma, infectious mononucleosis (IM), and post-IM chronic fatigue syndrome [49,50,51,52,53,54]. Multiple EBV gene products have been reported as responsible for IL-8 up-regulation, such as LMP1, EBER2, RPMS1 and BZLF1 [51,55,56,57,58]. Particularly, in NPC, IL-8 levels correlate with tumor invasion and the patient´s prognosis [53,58,59,60], and a decreased EBV load and decreased levels of IL-8 correlate with an NPC-positive response to treatment [61,62]. The mRNA expression of IL-8 has been widely used as a marker of inflammation during endothelial cell activation [63]. Notably, endothelial cell damage may trigger the initiation of GvHD [64]. In addition, the vascular endothelium can be a target of GvHD in the early phase and circulating endothelial cells represent surrogate markers of endothelial damage [65]. The timing of IL-8 production in allo-HSCT patients deserves more investigation to determine the role of IL-8 production in the context of GvHD.
In conclusion, in this study, we consistently observed elevated viral loads of herpesviruses, especially EBV alone or together with HHV6 and HHV7. Although these detection peaks were not associated with GvHD, evidence of a correlation with increased systemic inflammation was found. In particular, samples with both EBV detection and elevated IL-1β and IL-8 were enriched in GvHD. These data further support the screening of EBV and HCMV, but also of HHV6 and HHV7, for the prevention of GvHD in pediatric patients with HSCT.

5. Study Limitations

There are several limitations to this study. It is an observational-correlative study that only determines associations without establishing any directionality between the associated variables. In this case, it was not possible to conclude whether the appearance of inflammation and GvHD is a cause or a consequence of the enhanced viral detection, mainly of EBV. The correlation only establishes an association between different variables.
Furthermore, we were not able to establish relevant clinical thresholds for the observed viral loads of the various herpesviruses and the clinical assessments. Viral loads did not significantly change in samples with single vs. multiple virus detections. We were unable to associate a clinical measurement with either plasma or leukocyte-associated loads, arguing for complex interactions between the viral life cycle and the hosts, even in largely immunosuppressed host. Still, it is important to consider that despite the ubiquity of herpesviruses in the world population, viral DNA is generally undetectable in healthy carriers. The sole detection of viral genomes does not necessarily imply a disadvantageous clinical outcome. Thresholds of clinical-medical relevance must be established to predict or diagnose associated diseases. But these thresholds are not straightforward to predict and are highly heterogeneous among different authors. Moreover, they are mostly proposed to predict the development of post-transplant lymphoproliferative disease (PTLD) [66,67,68,69,70,71,72,73,74,75].
The Children’s Hospital of Mexico is one of the main pediatric transplant centers, and the doctors have their own clinical intervention criteria, based on the Fred Hutchinson Cancer Research Center in Seattle, WA, and the Karolinska Institute, Stockholm, Sweden. According to these criteria, patients are classified into risk groups depending on steroid dose (immunosuppression), T-cell depletion, CD34 marker and days post-transplant. According to the risk group, the minimum clinical thresholds range from 100 viral copies to 1000 viral copies per ml of plasma or whole blood. Supplementary Figure S2 shows the HCMV DNA copies detected in our samples in the context of the clinical threshold.
We measured the viral loads in plasma and leukocytes to reflect viruses expanding in lytic or latent cycles. However, the source of the DNA observed in plasma may also come from the lysis of cells and not necessarily from lytic reactivation.
We were unable to collect all the EBV and HCMV serological data of the donor-receptor pairs (Supplementary Table S1) to address whether mismatches between them favor viral detection.
Finally, we do not have the serology results for the controls used in the study. However, in our own experience in working with EBV serology in the Mexican population, we have found that by age 30, 94% of the population is EBV-positive [73], and in two different pediatric cohorts, we found that 64.3% were positive by age 10 [74] and 69.8% by age 10 [75].

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/microorganisms10081685/s1, Figure S1: Kinetics of infections in childhood allogeneic and autologous hematopoietic stem cell transplant (HSCT). The follow up is shown in the X axis and the viral load in the Y axis. Each virus is represented with a specific color. Viral loads are expressed as DNA copies/ug DNA in leukocytes or ml plasma; Figure S2: Viral loads for HCMV in patients with allogeneic and autologous hematopoietic stem cell transplantation (HSCT). Viral loads are expressed as DNA copies/ug of DNA in leukocytes or ml of plasma. The red line indicates the clinical threshold used at the Children’s Hospital of Mexico; Table S1: Pre-transplant serology for donors and recipients; Table S2: Leukocyte counts in blood samples.

Author Contributions

M.H.R.-R. performed the experiments, contributed to data analysis, and wrote this manuscript’s first draft; F.G.-M. and I.C.-V. participated in recruitment and surveillance of patients and provided clinical data; Y.S.-P. provided technical support and contributed to the data analysis; B.L.-M. and I.P.-O. provided facilities and contributed to the collection of samples; M.C.E.-N. contributed to the data analysis; A.M.-T. and E.N.P.-M. provided technical support; G.U.M.-R. provided technical support and contributed to the data analysis; E.M.F.-P. developed the original idea, conceived, and supervised the experiments and co-wrote the final manuscript; A.M.-S. helped to create the original idea, acquired funding, designed experiments, contributed to the data analysis and construction of figures, and co-wrote the final manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by Grant HIM/2016/021 SSA 1237 from Fondo de Apoyo a la Investigación, Hospital Infantil de México Federico Gómez (to Abigail Morales-Sánchez), Grant HIM/2016/089 SSA 1288 from Fondo de Apoyo a la Investigación, Hospital Infantil de México Federico Gómez (to Abigail Morales-Sánchez), Grant HIM/2017/145 SSA 1469 from Fondo de Apoyo a la Investigación, Hospital Infantil de México Federico Gómez (to Abigail Morales-Sánchez) and Grant CONACyT FOSISS-2015-2-261307 (to Abigail Morales-Sánchez).

Institutional Review Board Statement

The study (protocol number HIM/2016/021 SSA 1237 and HIM/2017/145 SSA 1469) was conducted in accordance with the Declaration of Helsinki, and approved by the Ethical, Biosecurity and Scientific Review Boards of the Children’s Hospital of Mexico Federico Gomez. The protocol HIM/2016/021 was approved in Dec/10/2015 and the protocol HIM/2017/145 SSA 1469 was approved in 26 March 2018.

Informed Consent Statement

Parents/custodians, healthy controls and children older than ten years of age willing to participate in the protocol signed a consent letter. Ten-year-old and younger children willing to participate in the protocol signed an assent letter.

Acknowledgments

Rojas-Rechy Moisés H. was a Master of Science student in the Biomedicine and Molecular Biotechnology Program of the National Polytechnic Institute (IPN) and received the fellowship 703,847 from CONACYT.

Conflicts of Interest

The authors have read the journal’s policy on competing interests and declare the following: Y.S.-P., A.M.-S. and E.M.F.-P. have a pending patent application to protect the use of the multiplex qPCR, filed in the Instituto Mexicano de la Propiedad Intelectual (IMPI), with number MX/a/2017/016321 and entitled: “MÉTODO PARA LA DETECCIÓN Y CUANTIFICACIÓN SIMULTÁNEA DE VIRUS DE EPSTEIN-BARR, CITOMEGALOVIRUS, HERPESVIRUS HUMANO 6, HERPESVIRUS HUMANO 7 Y VIRUS DE SARCOMA DE KAPOSI MEDIANTE REACCIÓN EN CADENA DE LA POLIMERASA EN TIEMPO REAL, MULTIPLEX”.

References

  1. Tomblyn, M.; Chiller, T.; Einsele, H.; Gress, R.; Sepkowitz, K.; Storek, J.; Wingard, J.R.; Young, J.A.; Boeckh, M.J. Guidelines for preventing infectious complications among hematopoietic cell transplantation recipients: A global perspective. Biol. Blood Marrow Transplant. 2009, 15, 1143–1238. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Jenq, R.R.; van den Brink, M.R. Allogeneic haematopoietic stem cell transplantation: Individualized stem cell and immune therapy of cancer. Nat. Rev. Cancer 2010, 10, 213–221. [Google Scholar] [CrossRef] [PubMed]
  3. Porrata, L.F. Autologous Graft-versus-Tumor Effect: Reality or Fiction? Adv. Hematol. 2016, 2016, 5385972. [Google Scholar] [CrossRef] [Green Version]
  4. Inazawa, N.; Hori, T.; Nojima, M.; Saito, M.; Igarashi, K.; Yamamoto, M.; Shimizu, N.; Yoto, Y.; Tsutsumi, H. Virus reactivations after autologous hematopoietic stem cell transplantation detected by multiplex PCR assay. J. Med. Virol. 2017, 89, 358–362. [Google Scholar] [CrossRef]
  5. Cruz-Munoz, M.E.; Fuentes-Panana, E.M. Beta and Gamma Human Herpesviruses: Agonistic and Antagonistic Interactions with the Host Immune System. Front. Microbiol. 2017, 8, 2521. [Google Scholar] [CrossRef] [PubMed]
  6. Hill, J.A.; Koo, S.; Guzman Suarez, B.B.; Ho, V.T.; Cutler, C.; Koreth, J.; Armand, P.; Alyea, E.P., 3rd; Baden, L.R.; Antin, J.H.; et al. Cord-blood hematopoietic stem cell transplant confers an increased risk for human herpesvirus-6-associated acute limbic encephalitis: A cohort analysis. Biol. Blood Marrow Transplant. 2012, 18, 1638–1648. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Agut, H. Deciphering the clinical impact of acute human herpesvirus 6 (HHV-6) infections. J. Clin. Virol. 2011, 52, 164–171. [Google Scholar] [CrossRef]
  8. de Oliveira, P.G.G.; Ueda, M.Y.; Real, J.M.; de Sa Moreira, E.; de Oliveira, J.S.R.; Goncalves, M.V.; Ginani, V.C.; de Oliveira, F.O.M.; Seber, A.; Novis, Y.; et al. Simultaneous Quantification of the 8 Human Herpesviruses in Allogeneic Hematopoietic Stem Cell Transplantation. Transplantation 2016, 100, 1363–1370. [Google Scholar] [CrossRef]
  9. Sanchez-Ponce, Y.; Varela-Fascinetto, G.; Romo-Vazquez, J.C.; Lopez-Martinez, B.; Sanchez-Huerta, J.L.; Parra-Ortega, I.; Fuentes-Panana, E.M.; Morales-Sanchez, A. Simultaneous Detection of Beta and Gamma Human Herpesviruses by Multiplex qPCR Reveals Simple Infection and Coinfection Episodes Increasing Risk for Graft Rejection in Solid Organ Transplantation. Viruses 2018, 10, 730. [Google Scholar] [CrossRef] [Green Version]
  10. Cardoni, R.L.; Prigoshin, N.; Tambutti, M.L.; Ferraris, J.R. Citoquinas reguladoras de la respuesta al transplante renal alogénico. Medicina 2005, 65, 54–62. [Google Scholar]
  11. Samara, Y.; Mei, M. Autologous Stem Cell Transplantation in Hodgkin Lymphoma-Latest Advances in the Era of Novel Therapies. Cancers 2022, 14, 1738. [Google Scholar] [CrossRef] [PubMed]
  12. Puerta-Alcalde, P.; Chumbita, M.; Charry, P.; Castano-Diez, S.; Cardozo, C.; Moreno-Garcia, E.; Marco, F.; Suarez-Lledo, M.; Garcia-Pouton, N.; Morata, L.; et al. Risk Factors for Mortality in Hematopoietic Stem Cell Transplantation Recipients with Bloodstream Infection: Points To Be Addressed by Future Guidelines. Transplant. Cell Ther. 2021, 27, 501.e1–501.e6. [Google Scholar] [CrossRef] [PubMed]
  13. Jantunen, E.; Salonen, J.; Juvonen, E.; Koivunen, E.; Siitonen, T.; Lehtinen, T.; Kuittinen, O.; Leppa, S.; Anttila, V.J.; Itala, M.; et al. Invasive fungal infections in autologous stem cell transplant recipients: A nation-wide study of 1188 transplanted patients. Eur. J. Haematol. 2004, 73, 174–178. [Google Scholar] [CrossRef] [PubMed]
  14. Grow, W.B.; Moreb, J.S.; Roque, D.; Manion, K.; Leather, H.; Reddy, V.; Khan, S.A.; Finiewicz, K.J.; Nguyen, H.; Clancy, C.J.; et al. Late onset of invasive aspergillus infection in bone marrow transplant patients at a university hospital. Bone Marrow Transplant. 2002, 29, 15–19. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Offidani, M.; Corvatta, L.; Olivieri, A.; Rupoli, S.; Frayfer, J.; Mele, A.; Manso, E.; Montanari, M.; Centurioni, R.; Leoni, P. Infectious complications after autologous peripheral blood progenitor cell transplantation followed by G-CSF. Bone Marrow Transplant. 1999, 24, 1079–1087. [Google Scholar] [CrossRef] [Green Version]
  16. Shi, J.M.; Pei, X.Y.; Luo, Y.; Tan, Y.M.; Tie, R.X.; He, J.S.; Zheng, W.Y.; Zhang, J.; Cai, Z.; Lin, M.F.; et al. Invasive fungal infection in allogeneic hematopoietic stem cell transplant recipients: Single center experiences of 12 years. J. Zhejiang Univ. Sci. B 2015, 16, 796–804. [Google Scholar] [CrossRef]
  17. Gomez, S.M.; Caniza, M.; Fynn, A.; Vescina, C.; Ruiz, C.D.; Iglesias, D.; Sosa, F.; Sung, L. Fungal infections in hematopoietic stem cell transplantation in children at a pediatric children’s hospital in Argentina. Transpl. Infect. Dis. 2018, 20, e12913. [Google Scholar] [CrossRef]
  18. Omer, A.K.; Ziakas, P.D.; Anagnostou, T.; Coughlin, E.; Kourkoumpetis, T.; McAfee, S.L.; Dey, B.R.; Attar, E.; Chen, Y.B.; Spitzer, T.R.; et al. Risk factors for invasive fungal disease after allogeneic hematopoietic stem cell transplantation: A single center experience. Biol. Blood Marrow Transplant. 2013, 19, 1190–1196. [Google Scholar] [CrossRef] [Green Version]
  19. Zhou, J.R.; Shi, D.Y.; Wei, R.; Wang, Y.; Yan, C.H.; Zhang, X.H.; Xu, L.P.; Liu, K.Y.; Huang, X.J.; Sun, Y.Q. Co-Reactivation of Cytomegalovirus and Epstein-Barr Virus Was Associated With Poor Prognosis After Allogeneic Stem Cell Transplantation. Front. Immunol. 2020, 11, 620891. [Google Scholar] [CrossRef]
  20. Ke, P.; Zhang, X.; Liu, S.; Zhu, Q.; Ma, X.; Chen, F.; Tang, X.; Han, Y.; Fu, Z.; Chen, S.; et al. The time-dependent effects of early-onset Epstein-Barr viremia on adult acute leukemia patients following allo-HSCT with ATG-containing MAC regimen. Ann. Hematol. 2021, 100, 1879–1889. [Google Scholar] [CrossRef]
  21. Salmona, M.; Stefic, K.; Mahjoub, N.; de Fontbrune, F.S.; Maylin, S.; Simon, F.; Scieux, C.; Socie, G.; Mazeron, M.C.; LeGoff, J. Automated quantification of Epstein-Barr virus in whole blood for post-transplant lymphoproliferative disorders monitoring. Virol. J. 2020, 17, 20. [Google Scholar] [CrossRef] [Green Version]
  22. Li, N.; Chen, Y.; He, W.; Yi, T.; Zhao, D.; Zhang, C.; Lin, C.L.; Todorov, I.; Kandeel, F.; Forman, S.; et al. Anti-CD3 preconditioning separates GVL from GVHD via modulating host dendritic cell and donor T-cell migration in recipients conditioned with TBI. Blood 2009, 113, 953–962. [Google Scholar] [CrossRef] [Green Version]
  23. Faye, A.; Vilmer, E. Post-transplant lymphoproliferative disorder in children: Incidence, prognosis, and treatment options. Paediatr. Drugs 2005, 7, 55–65. [Google Scholar] [CrossRef] [PubMed]
  24. Enok Bonong, P.R.; Zahreddine, M.; Buteau, C.; Duval, M.; Laporte, L.; Lacroix, J.; Alfieri, C.; Trottier, H. Factors Associated with Post-Transplant Active Epstein-Barr Virus Infection and Lymphoproliferative Disease in Hematopoietic Stem Cell Transplant Recipients: A Systematic Review and Meta-Analysis. Vaccines 2021, 9, 288. [Google Scholar] [CrossRef] [PubMed]
  25. Meyers, J.D.; Flournoy, N.; Thomas, E.D. Risk factors for cytomegalovirus infection after human marrow transplantation. J. Infect. Dis. 1986, 153, 478–488. [Google Scholar] [CrossRef] [PubMed]
  26. Gimenez, E.; Torres, I.; Albert, E.; Pinana, J.L.; Hernandez-Boluda, J.C.; Solano, C.; Navarro, D. Cytomegalovirus (CMV) infection and risk of mortality in allogeneic hematopoietic stem cell transplantation (Allo-HSCT): A systematic review, meta-analysis, and meta-regression analysis. Am. J. Transplant. 2019, 19, 2479–2494. [Google Scholar] [CrossRef]
  27. Phan, T.L.; Carlin, K.; Ljungman, P.; Politikos, I.; Boussiotis, V.; Boeckh, M.; Shaffer, M.L.; Zerr, D.M. Human Herpesvirus-6B Reactivation Is a Risk Factor for Grades II to IV Acute Graft-versus-Host Disease after Hematopoietic Stem Cell Transplantation: A Systematic Review and Meta-Analysis. Biol. Blood Marrow Transplant. 2018, 24, 2324–2336. [Google Scholar] [CrossRef] [Green Version]
  28. Dadwal, S.S. Herpes Virus Infections Other than Cytomegalovirus in the Recipients of Hematopoietic Stem Cell Transplantation. Infect. Dis. Clin. N. Am. 2019, 33, 467–484. [Google Scholar] [CrossRef]
  29. Inazawa, N.; Hori, T.; Hatakeyama, N.; Yamamoto, M.; Yoto, Y.; Nojima, M.; Suzuki, N.; Shimizu, N.; Tsutsumi, H. Large-scale multiplex polymerase chain reaction assay for diagnosis of viral reactivations after allogeneic hematopoietic stem cell transplantation. J. Med. Virol. 2015, 87, 1427–1435. [Google Scholar] [CrossRef]
  30. Miura, H.; Kawamura, Y.; Hattori, F.; Tanaka, M.; Kudo, K.; Ihira, M.; Yatsuya, H.; Takahashi, Y.; Kojima, S.; Sakaguchi, H.; et al. Human herpesvirus-6B infection in pediatric allogenic hematopoietic stem cell transplant patients: Risk factors and encephalitis. Transpl. Infect. Dis. 2020, 22, e13203. [Google Scholar] [CrossRef]
  31. Zallio, F.; Primon, V.; Tamiazzo, S.; Pini, M.; Baraldi, A.; Corsetti, M.T.; Gotta, F.; Bertassello, C.; Salvi, F.; Rocchetti, A.; et al. Epstein-Barr virus reactivation in allogeneic stem cell transplantation is highly related to cytomegalovirus reactivation. Clin. Transplant. 2013, 27, E491–E497. [Google Scholar] [CrossRef] [PubMed]
  32. Sanchez-Ponce, Y.; Fuentes-Panana, E.M. Molecular and immune interactions between beta- and gamma-herpesviruses in the immunocompromised host. J. Leukoc. Biol. 2022, 112, 79–95. [Google Scholar] [CrossRef] [PubMed]
  33. Levine, J.E.; Logan, B.R.; Wu, J.; Alousi, A.M.; Bolanos-Meade, J.; Ferrara, J.L.; Ho, V.T.; Weisdorf, D.J.; Paczesny, S. Acute graft-versus-host disease biomarkers measured during therapy can predict treatment outcomes: A Blood and Marrow Transplant Clinical Trials Network study. Blood 2012, 119, 3854–3860. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Tanaka, J.; Imamura, M.; Kasai, M.; Masauzi, N.; Matsuura, A.; Ohizumi, H.; Morii, K.; Kiyama, Y.; Naohara, T.; Saitho, M.; et al. Cytokine gene expression in peripheral blood mononuclear cells during graft-versus-host disease after allogeneic bone marrow transplantation. Br. J. Haematol. 1993, 85, 558–565. [Google Scholar] [CrossRef]
  35. Barak, V.; Levi-Schaffer, F.; Nisman, B.; Nagler, A. Cytokine dysregulation in chronic graft versus host disease. Leuk. Lymphoma 1995, 17, 169–173. [Google Scholar] [CrossRef]
  36. Nagasawa, M. Biomarkers of graft-vs-host disease: Understanding and applications for the future. World J. Transplant. 2021, 11, 335–343. [Google Scholar] [CrossRef]
  37. Zeiser, R.; Burchert, A.; Lengerke, C.; Verbeek, M.; Maas-Bauer, K.; Metzelder, S.K.; Spoerl, S.; Ditschkowski, M.; Ecsedi, M.; Sockel, K.; et al. Ruxolitinib in corticosteroid-refractory graft-versus-host disease after allogeneic stem cell transplantation: A multicenter survey. Leukemia 2015, 29, 2062–2068. [Google Scholar] [CrossRef]
  38. Matsuoka, K.I. Low-dose interleukin-2 as a modulator of Treg homeostasis after HSCT: Current understanding and future perspectives. Int. J. Hematol. 2018, 107, 130–137. [Google Scholar] [CrossRef] [Green Version]
  39. Chinen, T.; Kannan, A.K.; Levine, A.G.; Fan, X.; Klein, U.; Zheng, Y.; Gasteiger, G.; Feng, Y.; Fontenot, J.D.; Rudensky, A.Y. An essential role for the IL-2 receptor in Treg cell function. Nat. Immunol. 2016, 17, 1322–1333. [Google Scholar] [CrossRef]
  40. Koreth, J.; Matsuoka, K.; Kim, H.T.; McDonough, S.M.; Bindra, B.; Alyea, E.P., 3rd; Armand, P.; Cutler, C.; Ho, V.T.; Treister, N.S.; et al. Interleukin-2 and regulatory T cells in graft-versus-host disease. N. Engl. J. Med. 2011, 365, 2055–2066. [Google Scholar] [CrossRef] [Green Version]
  41. Cullup, H.; Stark, G. Interleukin-1 polymorphisms and graft-vs-host disease. Leuk. Lymphoma 2005, 46, 517–523. [Google Scholar] [CrossRef] [PubMed]
  42. Abhyankar, S.; Gilliland, D.G.; Ferrara, J.L. Interleukin-1 is a critical effector molecule during cytokine dysregulation in graft versus host disease to minor histocompatibility antigens. Transplantation 1993, 56, 1518–1523. [Google Scholar] [CrossRef] [PubMed]
  43. Antin, J.H.; Weisdorf, D.; Neuberg, D.; Nicklow, R.; Clouthier, S.; Lee, S.J.; Alyea, E.; McGarigle, C.; Blazar, B.R.; Sonis, S.; et al. Interleukin-1 blockade does not prevent acute graft-versus-host disease: Results of a randomized, double-blind, placebo-controlled trial of interleukin-1 receptor antagonist in allogeneic bone marrow transplantation. Blood 2002, 100, 3479–3482. [Google Scholar] [CrossRef] [PubMed]
  44. Kroger, N.; Shahnaz Syed Abd Kadir, S.; Zabelina, T.; Badbaran, A.; Christopeit, M.; Ayuk, F.; Wolschke, C. Peritransplantation Ruxolitinib Prevents Acute Graft-versus-Host Disease in Patients with Myelofibrosis Undergoing Allogenic Stem Cell Transplantation. Biol. Blood Marrow Transplant. 2018, 24, 2152–2156. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Ferrara, J.L. Advances in the clinical management of GVHD. Best Pract. Res. Clin. Haematol. 2008, 21, 677–682. [Google Scholar] [CrossRef] [Green Version]
  46. Paczesny, S.; Krijanovski, O.I.; Braun, T.M.; Choi, S.W.; Clouthier, S.G.; Kuick, R.; Misek, D.E.; Cooke, K.R.; Kitko, C.L.; Weyand, A.; et al. A biomarker panel for acute graft-versus-host disease. Blood 2009, 113, 273–278. [Google Scholar] [CrossRef]
  47. Jin, Y.B.; Zhang, G.Y.; Lin, K.R.; Chen, X.P.; Cui, J.H.; Wang, Y.J.; Luo, W. Changes of plasma cytokines and chemokines expression level in nasopharyngeal carcinoma patients after treatment with definitive intensity-modulated radiotherapy (IMRT). PLoS ONE 2017, 12, e0172264. [Google Scholar] [CrossRef] [Green Version]
  48. Zhu, Y.; Xu, Y.; Wei, Y.; Liang, W.; Liao, M.; Zhang, L. Association of IL-1B gene polymorphisms with nasopharyngeal carcinoma in a Chinese population. Clin. Oncol. 2008, 20, 207–211. [Google Scholar] [CrossRef]
  49. Broderick, G.; Katz, B.Z.; Fernandes, H.; Fletcher, M.A.; Klimas, N.; Smith, F.A.; O’Gorman, M.R.; Vernon, S.D.; Taylor, R. Cytokine expression profiles of immune imbalance in post-mononucleosis chronic fatigue. J. Transl. Med. 2012, 10, 191. [Google Scholar] [CrossRef] [Green Version]
  50. Watanabe, N.; Nodomi, K.; Koike, R.; Kato, A.; Takeichi, O.; Kotani, A.I.; Kaneko, T.; Sakagami, H.; Takei, M.; Ogata, Y.; et al. EBV LMP1 in Gingival Epithelium Potentially Contributes to Human Chronic Periodontitis via Inducible IL8 Production. Vivo 2019, 33, 1793–1800. [Google Scholar] [CrossRef] [Green Version]
  51. Zhang, J.Y.; Du, Y.; Gong, L.P.; Shao, Y.T.; Wen, J.Y.; Sun, L.P.; He, D.; Guo, J.R.; Chen, J.N.; Shao, C.K. EBV-Induced CXCL8 Upregulation Promotes Vasculogenic Mimicry in Gastric Carcinoma via NF-kappaB Signaling. Front. Cell Infect. Microbiol. 2022, 12, 780416. [Google Scholar] [CrossRef] [PubMed]
  52. Sisay, S.; Lopez-Lozano, L.; Mickunas, M.; Quiroga-Fernandez, A.; Palace, J.; Warnes, G.; Alvarez-Lafuente, R.; Dua, P.; Meier, U.C. Untreated relapsing remitting multiple sclerosis patients show antibody production against latent Epstein Barr Virus (EBV) antigens mainly in the periphery and innate immune IL-8 responses preferentially in the CNS. J. Neuroimmunol. 2017, 306, 40–45. [Google Scholar] [CrossRef] [PubMed]
  53. Imadome, K.; Yajima, M.; Arai, A.; Nakazawa, A.; Kawano, F.; Ichikawa, S.; Shimizu, N.; Yamamoto, N.; Morio, T.; Ohga, S.; et al. Novel mouse xenograft models reveal a critical role of CD4+ T cells in the proliferation of EBV-infected T and NK cells. PLoS Pathog. 2011, 7, e1002326. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Tang, S.; Zhao, C.; Chen, W. Aggressive diffuse large B-cell lymphoma with hemophagocytic lymphohistiocytosis: Report of one case. Int. J. Clin. Exp. Pathol. 2020, 13, 2392–2396. [Google Scholar] [PubMed]
  55. Hsiao, J.R.; Chang, K.C.; Chen, C.W.; Wu, S.Y.; Su, I.J.; Hsu, M.C.; Jin, Y.T.; Tsai, S.T.; Takada, K.; Chang, Y. Endoplasmic reticulum stress triggers XBP-1-mediated up-regulation of an EBV oncoprotein in nasopharyngeal carcinoma. Cancer Res. 2009, 69, 4461–4467. [Google Scholar] [CrossRef] [Green Version]
  56. Hsu, M.; Wu, S.Y.; Chang, S.S.; Su, I.J.; Tsai, C.H.; Lai, S.J.; Shiau, A.L.; Takada, K.; Chang, Y. Epstein-Barr virus lytic transactivator Zta enhances chemotactic activity through induction of interleukin-8 in nasopharyngeal carcinoma cells. J. Virol. 2008, 82, 3679–3688. [Google Scholar] [CrossRef] [Green Version]
  57. Li, Z.; Tsai, M.H.; Shumilov, A.; Baccianti, F.; Tsao, S.W.; Poirey, R.; Delecluse, H.J. Epstein-Barr virus ncRNA from a nasopharyngeal carcinoma induces an inflammatory response that promotes virus production. Nat. Microbiol. 2019, 4, 2475–2486. [Google Scholar] [CrossRef]
  58. Ren, Q.; Sato, H.; Murono, S.; Furukawa, M.; Yoshizaki, T. Epstein-Barr virus (EBV) latent membrane protein 1 induces interleukin-8 through the nuclear factor-kappa B signaling pathway in EBV-infected nasopharyngeal carcinoma cell line. Laryngoscope 2004, 114, 855–859. [Google Scholar] [CrossRef]
  59. Xie, L.Q.; Bian, L.J.; Li, Z.; Li, Y.; Liang, Y.J. Co-elevated expression of hepatocyte growth factor and Interleukin-8 contributes to poor prognosis of patients with primary nasopharyngeal carcinoma. Oncol. Rep. 2010, 23, 141–150. [Google Scholar]
  60. Yoshizaki, T. Promotion of metastasis in nasopharyngeal carcinoma by Epstein-Barr virus latent membrane protein-1. Histol. Histopathol. 2002, 17, 845–850. [Google Scholar] [CrossRef]
  61. Savitri, E.; Haryana, M.S. Expression of interleukin-8, interleukin-10 and Epstein-Barr viral-load as prognostic indicator in nasopharyngeal carcinoma. Glob. J. Health Sci. 2015, 7, 364–372. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Zong, J.; Ji, P.; Lin, C.; Zhang, R.; Chen, Y.; Lu, Q.; Peng, X.; Pan, J.; Lin, S. Plasma Epstein-Barr viral DNA load after completion of two cycles of induction chemotherapy predicts outcomes for patients with advanced-stage nasopharyngeal carcinoma. Oral Oncol. 2022, 131, 105972. [Google Scholar] [CrossRef] [PubMed]
  63. Hendrix, P.; Tang, Z.; Silasi, M.; Racicot, K.E.; Mor, G.; Abrahams, V.M.; Guller, S. Herpesvirus-infected Hofbauer cells activate endothelial cells through an IL-1beta-dependent mechanism. Placenta 2020, 91, 59–65. [Google Scholar] [CrossRef] [PubMed]
  64. Takamatsu, A.; Nakashima, Y.; Haji, S.; Tsuda, M.; Masuda, T.; Kimura, D.; Shiratsuchi, M.; Ogawa, Y. Circulating endothelial cells and endothelial progenitor cells as potential predictors of acute GVHD after allogeneic hematopoietic stem cell transplantation. Eur. J. Haematol. 2022, 109, 146–153. [Google Scholar] [CrossRef]
  65. Almici, C.; Skert, C.; Verardi, R.; Di Palma, A.; Bianchetti, A.; Neva, A.; Braga, S.; Malagola, M.; Turra, A.; Marini, M.; et al. Changes in circulating endothelial cells count could become a valuable tool in the diagnostic definition of acute graft-versus-host disease. Transplantation 2014, 98, 706–712. [Google Scholar] [CrossRef]
  66. Kimura, H.; Morita, M.; Yabuta, Y.; Kuzushima, K.; Kato, K.; Kojima, S.; Matsuyama, T.; Morishima, T. Quantitative analysis of Epstein-Barr virus load by using a real-time PCR assay. J. Clin. Microbiol. 1999, 37, 132–136. [Google Scholar] [CrossRef] [Green Version]
  67. Hoshino, Y.; Kimura, H.; Tanaka, N.; Tsuge, I.; Kudo, K.; Horibe, K.; Kato, K.; Matsuyama, T.; Kikuta, A.; Kojima, S.; et al. Prospective monitoring of the Epstein-Barr virus DNA by a real-time quantitative polymerase chain reaction after allogenic stem cell transplantation. Br. J. Haematol. 2001, 115, 105–111. [Google Scholar] [CrossRef]
  68. Kimura, H.; Ito, Y.; Suzuki, R.; Nishiyama, Y. Measuring Epstein-Barr virus (EBV) load: The significance and application for each EBV-associated disease. Rev. Med. Virol. 2008, 18, 305–319. [Google Scholar] [CrossRef]
  69. Wadowsky, R.M.; Laus, S.; Green, M.; Webber, S.A.; Rowe, D. Measurement of Epstein-Barr virus DNA loads in whole blood and plasma by TaqMan PCR and in peripheral blood lymphocytes by competitive PCR. J. Clin. Microbiol. 2003, 41, 5245–5249. [Google Scholar] [CrossRef] [Green Version]
  70. Sanchez-Ponce, Y.; Fuentes-Panana, E.M. The Role of Coinfections in the EBV-Host Broken Equilibrium. Viruses 2021, 13, 1399. [Google Scholar] [CrossRef]
  71. Barani, R.; Ravi, Y.; Seshan, V.; Reju, S.B.; Soundararajan, P.; Palani, G.; Srikanth, P. Epstein-Barr Virus DNAemia and co-occurrence with cytomegalovirus DNAemia in postrenal transplant recipients from a tertiary care center. Indian J. Transplant. 2018, 12, 95–102. [Google Scholar]
  72. Kimura, H.; Kwong, Y.L. EBV Viral Loads in Diagnosis, Monitoring, and Response Assessment. Front. Oncol. 2019, 9, 62. [Google Scholar] [CrossRef] [Green Version]
  73. Cardenas-Mondragon, M.G.; Torres, J.; Flores-Luna, L.; Camorlinga-Ponce, M.; Carreon-Talavera, R.; Gomez-Delgado, A.; Kasamatsu, E.; Fuentes-Panana, E.M. Case-control study of Epstein-Barr virus and Helicobacter pylori serology in Latin American patients with gastric disease. Br. J. Cancer 2015, 112, 1866–1873. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Cardenas-Mondragon, M.G.; Carreon-Talavera, R.; Camorlinga-Ponce, M.; Gomez-Delgado, A.; Torres, J.; Fuentes-Panana, E.M. Epstein Barr virus and Helicobacter pylori co-infection are positively associated with severe gastritis in pediatric patients. PLoS ONE 2013, 8, e62850. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Morales-Sanchez, A.; Torres, J.; Cardenas-Mondragon, M.G.; Romo-Gonzalez, C.; Camorlinga-Ponce, M.; Flores-Luna, L.; Fuentes-Panana, E.M. Detection of Epstein-Barr Virus DNA in Gastric Biopsies of Pediatric Patients with Dyspepsia. Pathogens 2020, 9, 623. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Frequency of single and multiple detection of EBV, HCMV, HHV6 and HHV7 in childhood allogeneic (allo) and autologous (auto) hematopoietic stem cell transplant (HSCT). Comparison of detection status (a), overall detection (b) and multiple detection (c) episodes between allo- and auto-HSCT. In (b), frequencies were compared by the Test of Difference in proportions. (d) Magnitude of the viral load seen for each virus in allo-, auto-HSCT and healthy donors. Mann–Whitney’s test was used to compare allo- versus auto-HSCT.
Figure 1. Frequency of single and multiple detection of EBV, HCMV, HHV6 and HHV7 in childhood allogeneic (allo) and autologous (auto) hematopoietic stem cell transplant (HSCT). Comparison of detection status (a), overall detection (b) and multiple detection (c) episodes between allo- and auto-HSCT. In (b), frequencies were compared by the Test of Difference in proportions. (d) Magnitude of the viral load seen for each virus in allo-, auto-HSCT and healthy donors. Mann–Whitney’s test was used to compare allo- versus auto-HSCT.
Microorganisms 10 01685 g001
Figure 2. EBV DNA is found mainly in plasma, whereas HCMV, HHV6 and HHV7 DNA are predominantly in leukocytes. (a) Example of the detection episodes in plasma and leukocytes in a patient with allo-HSCT during one year of follow-up. (b) Frequencies of EBV, HCMV, HHV6 and HHV7 detection in leukocytes, plasma or leukocytes and plasma simultaneously. (c) Paired analyses of the viral load in leukocytes and plasma for each virus. The mean value is up to the bars. Paired Mann–Whitney test. **** = p < 0.0001, ns = non-significant.
Figure 2. EBV DNA is found mainly in plasma, whereas HCMV, HHV6 and HHV7 DNA are predominantly in leukocytes. (a) Example of the detection episodes in plasma and leukocytes in a patient with allo-HSCT during one year of follow-up. (b) Frequencies of EBV, HCMV, HHV6 and HHV7 detection in leukocytes, plasma or leukocytes and plasma simultaneously. (c) Paired analyses of the viral load in leukocytes and plasma for each virus. The mean value is up to the bars. Paired Mann–Whitney test. **** = p < 0.0001, ns = non-significant.
Microorganisms 10 01685 g002
Figure 3. Samples in which multiple viruses were detected show high systemic levels of inflammatory cytokines. Plasma levels of IL-1β, IL-2, IL-6 and IL-8 in healthy donors, no viral detection, single detection ((a): any virus, (b): EBV) and multiple detection samples in patients with allogeneic transplant. Mann–Whitney test. * = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001.
Figure 3. Samples in which multiple viruses were detected show high systemic levels of inflammatory cytokines. Plasma levels of IL-1β, IL-2, IL-6 and IL-8 in healthy donors, no viral detection, single detection ((a): any virus, (b): EBV) and multiple detection samples in patients with allogeneic transplant. Mann–Whitney test. * = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001.
Microorganisms 10 01685 g003
Figure 4. IL-1β and IL-8 increase in EBV-positive samples during GvHD. (a) Survival curve of patients with or without GvHD. Kaplan–Meier method, * = p < 0.05. (b) Plasma levels of the indicated cytokines in samples EBV-positive with or without GvHD. Mann–Whitney test., **** = p < 0.0001.
Figure 4. IL-1β and IL-8 increase in EBV-positive samples during GvHD. (a) Survival curve of patients with or without GvHD. Kaplan–Meier method, * = p < 0.05. (b) Plasma levels of the indicated cytokines in samples EBV-positive with or without GvHD. Mann–Whitney test., **** = p < 0.0001.
Microorganisms 10 01685 g004
Table 1. Patients (n = 40) and samples (n = 412).
Table 1. Patients (n = 40) and samples (n = 412).
Type of TransplantAllogenicAutologous
No. of patientsn = 32n = 8
No. of blood samples38230
Samples per patient, mean ± SD14 ± 64.6 ± 1.4
Follow-up, median days (IQR)237 (88–338)49 (23–80)
Sampling frequency, median days (IQR)14 (14–24)19 (13–28)
Sex, n (%)
Female16 (50)5 (62.5)
Male16 (50)3 (37.5)
Age at transplant, median years (IQR)8 (5–13)10 (5–14.5)
Stem cell source, n (%)
Peripheral blood27 (84.4)8 (100)
Bone marrow5 (15.6)0 (0)
HLA compatibility, n (%)
50%10 (31.3)
75%4 (12.5)
80%9 (28.1)
100%9 (28.1)
Primary disease, n (%)
Acute lymphoblastic leukemia14 (43.8)0 (0)
Acute myeloid leukemia4 (12.5)0 (0)
Aplastic anemia5 (15.6)0 (0)
Ewing sarcoma0 (0)4 (50)
Neuroblastoma0 (0)2 (25)
Other9 (28.1)2 (25)
Detection frequency of viral DNA (%)
EBV43.730
HCMV56.7
HHV67.920
HHV79.723.3
Graft-versus-host disease, n (%)25 (78)
Mortality, n (%)At 365 dayspost-transplantAt 100 dayspost-transplant
13 (40.6)3 (37.5)
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Rojas-Rechy, M.H.; Gaytán-Morales, F.; Sánchez-Ponce, Y.; Castorena-Villa, I.; López-Martínez, B.; Parra-Ortega, I.; Escamilla-Núñez, M.C.; Méndez-Tenorio, A.; Pompa-Mera, E.N.; Martinez-Ruiz, G.U.; et al. Herpesvirus Screening in Childhood Hematopoietic Transplant Reveals High Systemic Inflammation in Episodes of Multiple Viral Detection and an EBV Association with Elevated IL-1β, IL-8 and Graft-Versus-Host Disease. Microorganisms 2022, 10, 1685. https://doi.org/10.3390/microorganisms10081685

AMA Style

Rojas-Rechy MH, Gaytán-Morales F, Sánchez-Ponce Y, Castorena-Villa I, López-Martínez B, Parra-Ortega I, Escamilla-Núñez MC, Méndez-Tenorio A, Pompa-Mera EN, Martinez-Ruiz GU, et al. Herpesvirus Screening in Childhood Hematopoietic Transplant Reveals High Systemic Inflammation in Episodes of Multiple Viral Detection and an EBV Association with Elevated IL-1β, IL-8 and Graft-Versus-Host Disease. Microorganisms. 2022; 10(8):1685. https://doi.org/10.3390/microorganisms10081685

Chicago/Turabian Style

Rojas-Rechy, Moisés H., Félix Gaytán-Morales, Yessica Sánchez-Ponce, Iván Castorena-Villa, Briceida López-Martínez, Israel Parra-Ortega, María C. Escamilla-Núñez, Alfonso Méndez-Tenorio, Ericka N. Pompa-Mera, Gustavo U. Martinez-Ruiz, and et al. 2022. "Herpesvirus Screening in Childhood Hematopoietic Transplant Reveals High Systemic Inflammation in Episodes of Multiple Viral Detection and an EBV Association with Elevated IL-1β, IL-8 and Graft-Versus-Host Disease" Microorganisms 10, no. 8: 1685. https://doi.org/10.3390/microorganisms10081685

APA Style

Rojas-Rechy, M. H., Gaytán-Morales, F., Sánchez-Ponce, Y., Castorena-Villa, I., López-Martínez, B., Parra-Ortega, I., Escamilla-Núñez, M. C., Méndez-Tenorio, A., Pompa-Mera, E. N., Martinez-Ruiz, G. U., Fuentes-Pananá, E. M., & Morales-Sánchez, A. (2022). Herpesvirus Screening in Childhood Hematopoietic Transplant Reveals High Systemic Inflammation in Episodes of Multiple Viral Detection and an EBV Association with Elevated IL-1β, IL-8 and Graft-Versus-Host Disease. Microorganisms, 10(8), 1685. https://doi.org/10.3390/microorganisms10081685

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop