| Literature DB >> 33834006 |
Jeong Rae Yoo1, Jae-Yong Kim2, Sang Taek Heo1, Jihye Kim3, Hyeong-Jun Park2, Joo-Yeon Lee4, Hee-Young Lim4, Woo-Jung Park4, Nam-Hyuk Cho5, Jung Mogg Kim6, Jae-Hwan Nam2, Keun Hwa Lee6.
Abstract
Severe fever with thrombocytopenia syndrome (SFTS), a newly emerging tick-borne viral disease, has been detected in Asia since 2009, and person-to-person transmission is possible. SFTS is characterized by atypical signs, including mild to severe febrile illness similar to that associated with hemorrhagic fever, with 16.2 to 30% mortality. We found that the titers of neutralizing antibodies, play an important role in protective immunity, to SFTS virus (SFTSV) in survivors and healthy residents who lived in endemic areas and who were positive for SFTSV IgG, were higher than those in non-survivor patients. Moreover, the titers were maintained in surviving patients and healthy residents but not in non-surviving patients in South Korea.Entities:
Keywords: SFTSV; South Korea; healthy residents; neutralizing antibodies; non-survivors; survivors
Year: 2021 PMID: 33834006 PMCID: PMC8021957 DOI: 10.3389/fcimb.2021.649570
Source DB: PubMed Journal: Front Cell Infect Microbiol ISSN: 2235-2988 Impact factor: 5.293
Baseline characteristics of the SFTS patients and healthy residents.
| Patient | Age (year)/Sex | Date of sampling (onset) | CCI* | Route of infection | Outcome | ANC (/μl) | PLT (/103 μl) | AST (IU/L) | ALT (IU/L) | CK (IU/L) | LDH (IU/L) | aPTT (/sec) | MODS† | FRNT50 titer |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jeju-P01 | 73/M | May-16-13 | 0 | Tick | Death | 724 | 30 | 392 | 136 | 4,377 | 2,177 | 74 | 19 | 6.57 |
| Jeju-P04 | 62/M | Jun-13-13 | 0 | Tick | Death | 815 | 55 | 524 | 152 | 588 | 1,481 | 51 | 16 | 6.22 |
| Jeju-P16 | 74/M | Jun-10-15 | 1 | Tick | Death | 1530 | 47 | 157 | 56 | 345 | 1,071 | 53 | 13 | 0 |
| Jeju-P48 | 71/M | May-02-18 | 2 | Tick | Death | 4,280 | 214 | 51 | 16 | 359 | N/A | 26 | 11 | 7.73 |
| Jeju-P49-1 | 81/F | Jun-12-18 | 1 | Tick | Recovery | 250 | 64 | 35 | 33 | 1,030 | 615 | 35 | 3 | 3.40 |
| -2 | Jun-14-18 | 190 | 22 | 368 | 112 | 862 | 2242 | 48 | 4 | 2.17 | ||||
| -3 | Jun-16-18 | 120 | 38 | 314 | 118 | 339 | 1353 | 31 | 4 | 0.60 | ||||
| -4 | Jun-18-18 | 1,000 | 74 | 265 | 155 | 111 | 1,177 | 30 | 3 | 9.89 | ||||
| -5 | Jun-20-18 | 2,010 | 147 | 258 | 185 | 69 | 854 | N/A | 2 | 2.80 | ||||
| Jeju-P55 | 68/M | Oct-11-18 | 1 | Tick | Death | 317 | 55 | 713 | 130 | 455 | 8,559 | 713 | 12 | 0 |
| Jeju-P57-1 | 37/F | Oct-21-18 | 0 | Patient | Recovery | 1,100 | 168 | 33 | 16 | 62 | 380 | 33 | 1 | 2.48 |
| -2 | Dec-24-18 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 105.3 | ||||
| -3 | Oct-17-19 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 123.4 | ||||
| Jeju-P63 | 92/F | July-05-19 | 1 | Tick | Death | 1,230 | 90 | 34 | 84 | 323 | 1,013 | 34 | 7 | 1.11 |
| Jeju-P64 | 64/M | Aug-12-19 | 0 | Tick | Recovery | 260 | 62 | 36 | 78 | N/A | 571 | 36 | 2 | 0 |
| Jeju-P66-1 | 60/M | Aug-28-19 | 1 | Tick | Recovery | 890 | 128 | 33 | 45 | 106 | 657 | 33 | 1 | 10.25 |
| -2 | Aug-30-19 | 450 | 108 | 80 | 56 | 589 | 172 | 30 | 1 | 5.86 | ||||
| Jeju-P70-1 | 70/F | Oct-11-19 | 0 | Tick | Recovery | 3,460 | 79 | 38 | 21 | N/A | 682 | 38 | 10 | 13.53 |
| -2 | Oct-22-19 | 12,370 | 76 | 21 | 21 | N/A | 647 | 34 | 11 | 34.82 | ||||
| Jeju-H10 | 77/F | Nov-24-15 | 3 | N/A | Healthy | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 31.52 |
| Jeju-H13 | 67/M | Nov-24-15 | 0 | N/A | Healthy | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 24.88 |
| Jeju-H17 | 78/M | Nov-24-15 | 0 | N/A | Healthy | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 24.25 |
| Jeju-H21-1 | 56/F | Nov-11-15 | 0 | N/A | Healthy | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 129.4 |
| -2 | July-28-16 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 67.67 | ||||
| -3 | April-30-17 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 96.84 | ||||
| Jeju-H22 | 71/F | Nov-24-15 | 0 | N/A | Healthy | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 104.7 |
M, male; F, female; *CCI, Charlson comorbidity index score, predicts the 10-year mortality for a patient who may have a range of comorbid conditions; SFTS, severe fever with thrombocytopenia syndrome; ANC, absolute neutrophil count; PLT, platelet; AST, aspartate aminotransferase; ALT, alanine aminotransferase; CK, creatinine kinase; LDH, lactate dehydrogenase; aPTT, activated partial thromboplastin time; †MODS, multiple organ dysfunction syndrome score, constructed using simple physiologic measures of dysfunction in six organ systems, mirrors organ, and correlates strongly with the ultimate risk of intensive care unit mortality and hospital mortality; N/A, not applicable.
Figure 1Neutralizing antibody titrations. Neutralizing antibodies to SFTSV were evaluated (FRNT50) in serum samples collected from 6 non-surviving patients, 13 serum samples from 5 surviving patients, and 7 serum samples from 5 healthy residents. Individual samples were serially diluted from 1∶20 to 1∶80. Statistically significant differences were found among surviving patients, non-surviving patients, and healthy residents (p <0.05 for all dilution factor).