Figures
Abstract
Background
Peripheral blood leucopenia and thrombocytopenia are the main manifestations in severe fever with thrombocytopenia syndrome (SFTS) patients. However, the underlying causes are poorly understood. Therefore, we aimed to investigate cytology of bone marrow samples collected from SFTS patients.
Methods
10 SFTS patients were identified by typical clinical manifestations, detection of peripheral blood leucopenia and thrombocytopenia, and nucleic acid-based detection of the newly identified bunyavirus. SFTS patients, along with 10 participants with acute aplastic anemia and 10 healthy volunteers were enrolled in this study after written informed consent to undergo bone marrow cytological examination.
Citation: QuanTai X, FengZhe C, XiuGuang S, DongGe C (2013) A Study of Cytological Changes in the Bone Marrow of Patients with Severe Fever with Thrombocytopenia Syndrome. PLoS ONE 8(12): e83020. https://doi.org/10.1371/journal.pone.0083020
Editor: Pranela Rameshwar, Rutgers - New Jersey Medical School, United States of America
Received: September 11, 2013; Accepted: November 5, 2013; Published: December 12, 2013
Copyright: © 2013 Quantai et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: Source of support: Scientific development fund of Shan-dong Public Health Bureau (Grant No. 2011HZ 047), and National Natural Science Foundation of China (Grant No.81102171). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Recently, patients presenting with severe fever, digestive and respiratory symptoms accompanied by laboratory test results indicative of thrombocytopenia and leucopenia, were identified in rural regions of China, with some dying from multiple organ failure. This disease was designated severe fever with thrombocytopenia syndrome (SFTS) based on its clinical characteristics. In most cases, patients’ white blood cell and platelet counts were progressively reduced. However, administration of bone marrow-stimulating medications was seldom efficacious, while supplementation with exogenous platelets only temporarily maintained platelet levels. In an effort to unveil the mechanisms underlying the development of thrombocytopenia and leucopenia in SFTS patients, we compared these patients to acute aplastic anemia patients and healthy individuals for cytological properties of bone marrow samples.
Subjects and Methods
Source of samples
Whole blood and bone marrow samples from 10 SFTS patients (6 men and 4 women aged 30–67 [48.7 ± 11.2]) were obtained from the Departments of Infectious Disease and Hematology of Qilu Hospital, Shandong University and Jinan Infectious Diseases Hospital. Baseline characteristics and clinical outcomes are shown in Table 1. Samples from 10 patients with acute aplastic anemia (4 men and 6 women aged 28–54 [42.1 ± 9.6]) were obtained from the Hematology Department, Qilu Hospital. It is well known that aplastic anemia reduces white and red blood cells as well as platelets in peripheral blood, similar to SFTS. The mechanism of blood cell reduction in aplastic anemia is well known: altered production of myeloid cells. Therefore, we chose samples from acute aplastic anemia as positive controls to unveil the mechanisms of SFTS. Baseline characteristics of these subjects are shown in Table 2. Samples from 10 healthy volunteers (4 men and 6 women aged 25–52 [40.9±8.8]) were obtained from Shandong University. Baseline characteristics are shown in Table 3. No significant age differences were found among the 3 groups (P>0.10).
Patient no. | Gender | Age(years) | Total WBCcount(×109/L) | Neu | Lym | Mon | Eos | Bas | RBC count (×1012/L) | Platelet count(×109/L) | Clinical outcomes |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Male | 37 | 1.63 | 1.12 | 0.34 | 0.12 | 0.05 | 0.00 | 4.33 | 22 | Cured |
2 | Female | 44 | 2.44 | 1.65 | 0.48 | 0.18 | 0.08 | 0.05 | 4.65 | 35 | Cured |
3 | Male | 56 | 1.92 | 0.90 | 0.84 | 0.13 | 0.05 | 0.02 | 5.06 | 57 | Died |
4 | Male | 49 | 0.83 | 0.53 | 0.20 | 0.12 | 0.01 | 0.00 | 4.17 | 18 | Died |
5 | Female | 50 | 3.21 | 2.45 | 0.62 | 0.10 | 0.02 | 0.02 | 3.81 | 26 | Cured |
6 | Male | 30 | 4.35 | 2.48 | 1.42 | 0.31 | 0.14 | 0.00 | 4.43 | 36 | Cured |
7 | Male | 67 | 2.49 | 1.30 | 1.04 | 0.10 | 0.03 | 0.03 | 5.17 | 39 | Cured |
8 | Female | 48 | 1.74 | 1.27 | 0.25 | 0.12 | 0.06 | 0.04 | 3.92 | 24 | Died |
9 | Male | 43 | 3.08 | 2.08 | 0.86 | 0.08 | 0.06 | 0.00 | 4.34 | 27 | Cured |
10 | Female | 63 | 2.16 | 1.50 | 0.34 | 0.23 | 0.07 | 0.02 | 4.05 | 30 | Cured |
mean±SD | 48.7±11.2 | 2.39±0.98 | 1.53±0.65 | 0.64±0.40 | 0.15±0.07 | 0.06±0.04 | 0.02±0.02 | 4.39±0.45 | 31.4±11.2 |
Patient no. | Gender | Age(years) | Total WBC count(×109/L) | Neu | Lym | Mon | Eos | Bas | RBC count (×1012/L) | Platelet count(×109/L) |
---|---|---|---|---|---|---|---|---|---|---|
1 | Male | 28 | 1.82 | 0.84 | 0.80 | 0.11 | 0.05 | 0.02 | 2.41 | 36 |
2 | Male | 38 | 1.88 | 1.02 | 0.51 | 0.22 | 0.08 | 0.05 | 1.62 | 25 |
3 | Female | 46 | 2.83 | 1.39 | 1.35 | 0.06 | 0.03 | 0.00 | 3.08 | 47 |
4 | Female | 54 | 1.27 | 0.67 | 0.36 | 0.13 | 0.08 | 0.03 | 2.78 | 24 |
5 | Male | 36 | 2.23 | 1.46 | 0.57 | 0.18 | 0.01 | 0.01 | 2.34 | 36 |
6 | Female | 50 | 3.28 | 2.06 | 0.72 | 0.32 | 0.10 | 0.08 | 2.12 | 54 |
7 | Male | 49 | 1.52 | 0.68 | 0.56 | 0.18 | 0.05 | 0.05 | 3.17 | 19 |
8 | Female | 38 | 0.69 | 0.32 | 0.28 | 0.08 | 0.01 | 0.00 | 2.73 | 10 |
9 | Male | 53 | 2.11 | 1.26 | 0.66 | 0.13 | 0.04 | 0.02 | 1.76 | 27 |
10 | Male | 29 | 0.63 | 0.36 | 0.25 | 0.02 | 0.00 | 0.00 | 1.68 | 8 |
mean±SD | 42.1±9.6 | 1.83±0.85 | 1.01±0.54 | 0.61±0.32 | 0.14±0.09 | 0.05±0.03 | 0.03±0.03 | 2.37±0.57 | 28.6±14.9 |
Patient no. | Gender | Age (years) | Total WBC count(×109/L) | Neu | Lym | Mon | Eos | Bas | RBC count (×1012/L | Platelet count (×109/L) |
---|---|---|---|---|---|---|---|---|---|---|
1 | Male | 25 | 6.82 | 4.65 | 1.73 | 0.34 | 0.06 | 0.04 | 4.68 | 139 |
2 | Male | 44 | 7.88 | 4.82 | 2.14 | 0.62 | 0.20 | 0.08 | 5.04 | 235 |
3 | Female | 38 | 5.83 | 3.52 | 1.61 | 0.52 | 0.12 | 0.06 | 4.26 | 156 |
4 | Female | 47 | 8.62 | 5.40 | 2.42 | 0.56 | 0.22 | 0.02 | 4.38 | 337 |
5 | Female | 33 | 7.19 | 4.39 | 1.70 | 0.63 | 0.30 | 0.17 | 3.97 | 226 |
6 | Female | 50 | 8.32 | 5.25 | 2.13 | 0.60 | 0.22 | 0.12 | 4.87 | 158 |
7 | Male | 52 | 9.09 | 6.53 | 2.06 | 0.34 | 0.16 | 0.00 | 5.23 | 219 |
8 | Male | 48 | 6.43 | 4.36 | 1.47 | 0.40 | 0.11 | 0.09 | 4.46 | 185 |
9 | Male | 33 | 8.11 | 5.43 | 2.12 | 0.34 | 0.18 | 0.04 | 4.24 | 207 |
10 | Male | 39 | 7.33 | 4.38 | 1.75 | 0.81 | 0.28 | 0.11 | 5.21 | 117 |
mean±SD | 40.9±8.8 | 7.56±1.02 | 4.87±0.82 | 1.91±0.31 | 0.52±0.16 | 0.19±0.08 | 0.07±0.05 | 4.63±0.44 | 197.9±62.9 |
Subject protection
This study, approved by the ethics committee of Shandong University, complied with the Declaration of Helsinki and Chinese law. All patients and healthy volunteers involved in this study provided written informed consents, signing their names in a document sent to the ethics committee of Shandong University.
Diagnostic criteria
The Guide for Prevention and Treatment of SFTS published by the Ministry of Health of the People’s Republic of China in September 2010 was used to define the diagnostic criteria [1]. According to these guidelines, suspected cases involved epidemiological history (working, living, or travelling in forest zones, hills, or mountains during an epidemic season; documented tick bites 2 weeks before symptomatic onset), fever, gastrointestinal and neurological symptoms, and by laboratory tests revealing thrombocytopenia and leucopenia in peripheral blood. To confirm a case, at least 1 of the following conditions had to pertain: (1) positive nucleic acid identification of the newly identified bunyavirus in blood samples, (2) more than 4-fold increase in serum anti-bunyavirus immunoglobulin G titers during convalescence compared with acute phase, and (3) isolation of bunyavirus from the blood sample.
Detection of bunyavirus nucleic acids
Methodologies described by Espy [2] and Mackay [3] were used for the detection of bunyavirus nucleic acids. All blood samples were transported immediately upon collection to the Virus Laboratory of the Center for Disease Control for laboratory tests.
Bone marrow cytology
All 10 SFTS patients agreed for bone marrow collection at the peak of illness (about 4-5 days after disease onset), but only 4 patients allowed bone marrow biopsies, the other 6 or their families being reluctant, worried about bleeding of the biopsy site. Therefore, 4 bone marrow biopsies were carried out in healthy volunteers for controls. All bone marrow samples were collected aseptically at bedside with the posterior superior iliac spine chosen as biopsy site. Bone marrow smear (0.3 mL) were aspirated and spread uniformly on 6 slides, each 2×3 cm2, with just sufficient thickness to cover the slides. After samples were dried for 30 minutes at room temperature, Wright staining was performed, and stained slides microscopically evaluated by a trained technician. Bone marrow biopsies were collected at the same site, about 2-3 mm×10-12 mm marrow tissue was extracted and placed into a tube filled with 3-4 ml of Bouin solution for fixation. Then, tissues were dehydrated with high percentage ethanol and embedded into plastics (Hemapun 865 plastics). Sections were obtained with a microtome at a thickness of 3µm and slides submitted to Giemsa and Hematoxylin and eosin (H-E) stainings. Finally, sections were observed under light microscopy for hematopoiesis content, presence of fat and fibers, shape and number of marrow blood cells.
Results
Baseline characteristics
The statistical analysis of baseline characteristics of the 10 SFTS patients in comparison with volunteers and acute aplastic anemia patients are shown in Tables 4 and 5, respectively. These data indicated that WBC and platelet counts in the SFTS patients were significantly reduced compared with that of volunteers, while no significant difference was observed in RBC count between these two groups. A comparison between SFTS and acute aplastic anemia patients showed no significant differences in WBC and platelet counts. However, RBC count was significantly higher in SFTS subjects than in acute aplastic anemia patients.
Cytological examination of bone marrow smear
Erythrocytes, megakaryocytes, and lymphocytes in bone marrow collected from the 10 SFTS patients displayed normal cell morphology, similar to healthy individuals. 12.3 ± 3.2 and 11.6 ± 4.2 megakaryocytes were counted per slide in samples from SFTS patients and healthy volunteers, respectively, a non- significant difference between these groups (t = 0.42, P >0.10). Only 1.6 ± 0.6 megakaryocytes were observed per slide in acute aplastic anemia patients, significantly lower compared with patients SFTS (t = 10.45, P < 0.0001). Representative micrographs of marrow cytology for the three groups are shown in Figure 1( Figure 1 A is the image of aspiration smear from patients with SFTS, Figure 1 B is that from healthy volunteers , Figure 1 C is that from patients with aplastic anemia)
Bone marrow samples of aspiration from patients with SFTS (Figure 1 A), from healthy volunteers (Figure 1B) and from patients with aplastic anemia (Figure 1C).
Cytological examination of bone marrow biopsy samples
The cytological characteristics of bone marrow from biopsy samples are summarized in Tables 6-8. Clearly, no significant differences were observed between the 4 SFTS patients and 4 volunteers: hematopoiesis, fat, and fiber contents, and megakaryocyte and plasmacyte numbers were similar(Table 9 are the statistical results). As shown in Figure 2, granulocyte, red blood and lymphocyte shapes were normal in SFTS patients(Figure 2 A)and volunteers(Figure 2 B).
Patient no. | Hematopoiesis content (%) | Fat content (%) | Fiber content (%) | Granulocyte (/mm3) | Red blood cell (/mm3) | Lymphocyte (/mm3) | Megakaryocyte (/mm3) | Plasmacyte (/mm3) |
---|---|---|---|---|---|---|---|---|
1 | 52.3 | 20.1 | 21.2 | 112.4 | 1435.6 | 65.8 | 16.4 | 18.5 |
5 | 46.6 | 23.8 | 25.1 | 98.4 | 982.4 | 90.6 | 12.6 | 25.3 |
6 | 60.1 | 18.1 | 18.6 | 160.2 | 675.9 | 89.8 | 15.3 | 20.2 |
9 | 43.6 | 27.3 | 25.6 | 178.4 | 1205.7 | 107.2 | 17.3 | 17.3 |
mean±SD | 50.7±7,3 | 22.3±4.1 | 22.6±3.3 | 137.4±38.1 | 1074.9±324.0 | 88.4±17.0 | 15.4±2.0 | 20.3±3.5 |
Volunteer no. | Hematopoiesis content (%) | Fat content (%) | Fiber content (%) | Granulocyte (/mm3) | Red blood cell (/mm3) | Lymphocyte (/mm3) | Megakaryocyte (/mm3) | Plasmacyte (/mm3) |
---|---|---|---|---|---|---|---|---|
1 | 42.6 | 24.2 | 20.1 | 61.9 | 1613.6 | 48.6 | 13.4 | 17.2 |
2 | 45.6 | 21.7 | 20.3 | 168.6 | 896.4 | 94.3 | 16.5 | 20.4 |
3 | 50.2 | 20.2 | 21.5 | 143.5 | 783.9 | 93.8 | 12.7 | 18.3 |
4 | 46.8 | 27.3 | 18.1 | 136.4 | 1075.6 | 113.2 | 19.5 | 18.5 |
mean±SD | 46.3±3.1 | 23.4±3.1 | 20.0±1.4 | 127.6±45.9 | 1092.4±367.7 | 87.5±27.4 | 15.5±3.1 | 18.6±1.3 |
Patient no. | Hematopoiesis content (%) | Fat content (%) | Fiber content (%) | Granulocyte (/mm3) | Red blood cell (/mm3) | Lymphocyte (/mm3) | Megakaryocyte (/mm3) | Plasmacyte (/mm3) |
---|---|---|---|---|---|---|---|---|
1 | 18.6 | 55.1 | 31.9 | 40.3 | 453.2 | 67.4 | 2.5 | 18.6 |
2 | 20.2 | 47.3 | 27.2 | 27.3 | 209.4 | 60.6 | 3.3 | 20.6 |
3 | 15.7 | 50.4 | 27.6 | 30.2 | 354.1 | 87.0 | 3.3 | 25.1 |
4 | 23.5 | 39.0 | 29.7 | 56.0 | 245.3 | 90.8 | 4.2 | 19.0 |
5 | 18.4 | 40.3 | 35.6 | 22.9 | 190.6 | 54.7 | 1.5 | 16.8 |
6 | 27.3 | 41.5 | 22.5 | 18.6 | 170.3 | 108.2 | 1.3 | 21.3 |
7 | 21.3 | 45.2 | 26.5 | 37.9 | 398.5 | 110.3 | 2.3 | 22.5 |
8 | 16.1 | 38.4 | 32.0 | 10.6 | 403.7 | 68.3 | 1.8 | 19.5 |
9 | 17.4 | 43.2 | 34.5 | 54.2 | 502.2 | 77.9 | 1.6 | 17.2 |
10 | 23.5 | 39.5 | 30.0 | 30.1 | 324.7 | 82.5 | 1.4 | 16.4 |
mean±SD | 20.2±3.7 | 44.0±5.5 | 29.8±4.0 | 32.8±14.6 | 325.2±116.4 | 80.8±18.8 | 2.3±1.0 | 19.7±2.7 |
Parameter | t | P |
---|---|---|
Hematopoiesis content (%) | 1.33 | >0.05(0.27) |
Fat content (%) | 0.77 | >0.05(0.50) |
Fiber content (%) | 1.16 | >0.05(0.33) |
Granulocyte | 0.33 | >0.05(0.74) |
Red blood cell | 0.07 | >0.05(0.95) |
Lymphocyte | 0.06 | >0.05(0.96) |
Megakaryocyte | 0.07 | >0.05(0.95) |
Plasmacyte | 1.38 | >0.05(0.26) |
Bone marrow samples of biopsy from patients with SFTS (Figure 2A), from healthy volunteers (Figure 2B) and from patients with aplastic anemia (Figure 2 C).
Interestingly, significant cytological differences were found between bone marrow biopsies from the 4 SFTS patients and 10 acute aplastic anemia(Figure 2 C): hematopoiesis, fat and fiber contents, and granulocyte, red blood cell and megakaryocyte numbers were significantly altered. However, there were no significant differences in lymphocyte and plasmacyte numbers between the latter groups(Table 10 are the statistical results).
Discussion
SFTS is a newly discovered disease with many unknown factors regarding pathogenesis and pathophysiology. Initially, SFTS was designated as human granulocytic anaplasmosis by clinicians. Anaplasma (a member of the Rickettsia family) was thought to be the etiological agent, and ticks the vectors. However, antibiotics effective against Rickettsia (such as tetracycline) were found not efficacious in the treatment of this disease. In 2011, after numerous studies, experts from the Institute of Virology of the Chinese Academy of Medical Sciences identified the pathogen as a novel virus, recently named bunyavirus, of which ticks appear to be the vectors [4]. SFTS is a systemic disease with multiple organ lesions and blood appears as the most damaged system. Since the use of antiviral drugs is ineffective in most cases, fatality rates are still considerably high [5,6].
Clinically, it is believed that the main causes of peripheral blood thrombocytopenia and leucopenia include dysfunction of bone marrow regeneration, increased damage to the peripheral organs (such as spleen), and appearance of anti-platelet antibodies in the circulation. However, our data showed that bone marrow cytology was normal in SFTS patients, indicating an optimal bone marrow cell regenerative capacity. Thus, it is tempting to speculate that peripheral blood thrombocytopenia and leucopenia in SFTS patients result from increased peripheral organ damage or circulating anti-platelet antibodies. SFTS symptoms are markedly different from the manifestations of hemorrhagic fever with renal syndrome, caused by hantavirus (a bunyavirus subspecies), where thrombocytopenia in peripheral blood is a major phenotype, but with increased instead of reduced total white blood cell count [7]. The differences in etiology between SFTS and the disease caused by hantavirus requires further exploration.
Acknowledgments
Ding Shujun, a research fellow who works in the CDC of Shandong province, made contribution in the virus detection.
Author Contributions
Conceived and designed the experiments: XQ. Performed the experiments: XQ CF CD. Analyzed the data: XQ. Contributed reagents/materials/analysis tools: XQ CF SX. Wrote the manuscript: XQ.
References
- 1. Hygiene Ministry of the P.R.C. Guide to the Prevention and Cure of SFTS (2010);2010,Sep.
- 2. Espy MJ, Uhl JR, Sloan LM, Buckwalter SP, Jones MF et al. (2006) Real-time PCR in clinical microbiology: applications for routine laboratory testing. Clin Microbiol Rev19: 165–256. doi:https://doi.org/10.1128/CMR.19.1.165-256.2006. PubMed: 16418529.
- 3. Mackay IM, Arden KE, Nitsche A (2002) Real-time PCR in virology. Nucleic Acids Res 30: 1292–1305. doi:https://doi.org/10.1093/nar/30.6.1292. PubMed: 11884626.
- 4. Yu XJ, Liang MF, Zhang SY, Liu Y, Li JD et al. (2011) Fever with Thrombocytopenia Associated with a Novel Bunyavirus in China. N Engl J Med 364: 1523-1532. doi:https://doi.org/10.1056/NEJMoa1010095. PubMed: 21410387.
- 5. Cui N, Yang ZD, Wang BJ, Fan XJ, Yuan C (2012) The clinical characteristics of 169 cases of severe fever with thrombocytopenia syndrome. Zhong Hua Nei Ke za Zhi 51: 755-758.
- 6. Gai ZT, Zhang Y, Liang MF, Jin C, Zhang S et al. (2012) Clinical progress and risk factors for death in severe fever with thrombocytopenia syndrome patients.J Infect Dis 206: 1095-1102. doi:https://doi.org/10.1093/infdis/jis472. PubMed: 22850122.
- 7. Kim YK, Lee SC, Kim C, Heo ST, Choi C et al. (2007 ) Clinical and laboratory predictors of oliguric renal failure in haemorrhagic fever with renal syndrome caused by Hantaan virus.J Infect 54: 381-386. doi:https://doi.org/10.1016/j.jinf.2006.07.006. PubMed: 16930718.