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. 2021 Aug 30;15(8):e0009718. doi: 10.1371/journal.pntd.0009718

Sequential determination of viral load, humoral responses and phylogenetic analysis in fatal and non-fatal cases of Crimean-Congo hemorrhagic fever patients from Gujarat, India, 2019

Rima R Sahay 1,#, Anita M Shete 1,#, Pragya D Yadav 1,*, Savita Patil 1, Triparna Majumdar 1, Rajlaxmi Jain 1, Dimpal A Nyayanit 1, Himanshu Kaushal 1, Sunil J Panjwani 2, Kamlesh J Upadhyay 3, Chetan L Varevadiya 4, Alpesh Vora 2, Amit Kanani 5, Raman R Gangakhedkar 6
Editor: Husain Poonawala7
PMCID: PMC8432894  PMID: 34460819

Abstract

Background

Thirty-four CCHF cases (17 fatal; 17 survived) were confirmed from Gujarat state, India during the year 2019. We aimed to find out the viral load, antibody kinetics, cytokine profile and phylogenetic analysis between fatal and non- fatal cases.

Methods

Thirty four cases were included in this study. Blood and urine samples were collected from all the cases on the day of admission to hospital. Non-fatal cases were followed weekly for understanding the profile of viral kinetics, anti-CCHFV IgM and IgG antibodies. We also quantified the cytokines in both fatal and non-fatal cases. For epidemiological correlation, livestock were screened for anti-CCHF IgG antibodies and the tick pool specimens were tested by real time RT-PCR. Virus isolation was attempted on tick pools and human specimens and phylogenetic analysis performed on human and ticks complete genome sequences.

Results

CCHF cases were detected throughout year in 2019 with the peak in August. Out of 34 cases, eight secondary CCHF cases were reported. Cases were predominantly detected in males and in 19–45 years age group (55.88%). The persistence of viremia was observed till 76th POD (post onset date) in one case whereas anti-CCHFV IgM and IgG was detected amongst these cases from the 2nd and 20th POD respectively. Positivity observed amongst livestock and tick pools were was 21.57% and 7.4% respectively. The cytokine analysis revealed a significant increase in the level of serum IL-6, IL-10 and IFN-γ during the acute phase of the infection, but interestingly IL-10 lowered to normal upon clearance of the virus in the clinically recovered case. Fatal cases had high viral RNA copy numbers. Bleeding from one or two mucosal sites was significantly associated with fatality (OR-16.47;p-0.0034 at 95% CI). We could do CCHF virus isolation from two cases. Phylogenetic analysis revealed circulation of re-assortment of Asian-West African genotypes in humans and ticks.

Conclusions

The persistence of CCHF viral RNA was detected till 76th POD in one of the survivors. The circulation of a re-assortment Asian-West African genotype in a CCHF case is also reported first time from India.

Author summary

Crimean Congo hemorrhagic fever is a zoonotic tick-borne viral hemorrhagic disease. This disease is reported from Europe, Mediterranean, north-western China, central Asia, Africa, and the Middle East. Several outbreaks of CCHF were reported from Gujarat and Rajasthan states, India from 2011 to 2019. In this study, we discuss the clinical, molecular, serological, and the cytokine data of 34 CCHF cases (17 fatal and 17 survived) which were detected from Gujarat state in the year 2019. A sequential weekly follow up of the CCHF survivors was performed to understand the viral kinetics and the antibody profile. Interestingly, the presence of persistence CCHF viral RNA was observed till 76th POD in one of the survivors. To our knowledge, we are reporting this long term persistence of viremia for the first time. We also observed that the anti-CCHFV IgM detection in the serum samples starts as soon as 2nd POD but anti-CCHFV IgG antibody could be detected in the majority of the cases only after the 28th POD. The cytokine analysis revealed a significant increase in the level of serum IL-6, IL-10 and IFN-γ during the acute phase of the infection, but interestingly IL-10 lowered to normal upon clearance of the virus in the clinically recovered case. We did the phylogenetic analysis and concluded the circulation of the Asian-West African re-assortment genotype in humans, which has not been reported from India prior to this study.

Introduction

Crimean congo hemorrhagic fever (CCHF) is a tick-borne zoonotic disease belonging to the family Nairoviridae, transmitted by tick bite, or through contact of body fluid of infected livestock and humans [1]. CCHF causes severe viral hemorrhagic fever outbreaks and the case fatality rate (CFR) ranges from 3 to 60% [2]. This disease is reported from Europe, Mediterranean, north-western China, central Asia, Africa, and the Middle East [1]. The majority of cases have been reported amongst people involved in livestock-related work, such as agricultural/farming, grazing animals, milking, slaughtering and veterinarians [2]. Recently the incidences of CCHF have been increasing rapidly and many sporadic human cases and focal outbreaks are reported from the different countries [2].

In India, CCHF cases were confirmed during the period, 2011 to 2019 from Gujarat state and in 2014, 2015 and 2019 from Rajasthan state [3,4,5]. The clinical presentation starts with fever, myalgia, diarrhoea and vomiting during the prodromal phase, progresses to ecchymoses, petechial rash, bleeding from mucosal/punctured sites, coagulation disorders, fatal hemorrhagic manifestations including disseminated intravascular coagulation and death [6,7,8,9]. Direct or indirect damages occur to the endothelial cells either by virus or of chemokines/cytokines release [7]. CCHF has an overlapping clinical profile with dengue hemorrhagic fever making it very difficult to diagnose in the early stages. Because of the severity, lack of specific prophylactic/therapeutic options and its epidemic potential, CCHF was included in World Health Organization priority list of diseases needing urgent research and development attention [10].

Serum pro-and anti-inflammatory cytokines like Tumor Necrosis Factor (TNF)-α, Interleukin (IL)-6, IL-10, IL-12, and (Interferon) IFN-γ were elevated in CCHF patients and levels were higher in the fatal cases, suggestive of their prominent role in the fulminant disease progression [11,12,13,14,15]. The data presented in these studies included analysis of serologic, virologic and cytokines (IL-6, IL-10, TNF-α, and IFN-γ) as per the availability of the samples at three set points till 7th day [14]. They reported the mean serum CCHFV titer at admission was 5.5E + 09 copies/mL in the fatal cases and 5.7E + 08 copies/mL in the survivors [14].

In the current study we did systematic follow-up of CCHF survivors and compared our finding with the fatal cases to generate clear evidence on the viral RNA kinetics, antibody response and the cytokine profiles. Phylogenetic analysis was performed using Next Generation Sequencing (NGS) to understand the circulation of the CCHFV strains in humans and ticks. We also tried to explore the variation in amino-acid sequences between fatal and survived cases.

Material and methods

Ethical statement

Written and informed consent was obtained prior to collection of clinical data and samples from suspected and confirmed CCHF cases and from relatives, if the patients were unable to consent. For children, the written consents were obtained from their parent/guardian. The study was approved by the Institutional Human Ethics Committee at the ICMR-NIV, Pune (IHEC Number-NIV/IHEC/2018/March/D-2).

Identification of suspected CCHFV cases

In 2019, a total of 124 suspected CCHF cases were identified, those fulfilling the case definition as described by national CCHF guidelines [9]. The clinical information was gathered using the dedicated VHF clinical sheet. For this study, a CCHF primary case was defined as the occurrence of the first laboratory confirmed case in the particular community/area. A CCHF secondary case was defined as the occurrence of a laboratory confirmed CCHF case due to close contact within 14 days after onset of illness in the primary case patient. A cluster of CCHF cases was defined as the aggregation of laboratory confirmed cases in a defined subpopulation.

Collection of samples from Humans, livestock and tick pools

Indian Council of Medical Research-National Institute of Virology (ICMR-NIV), Pune, India is a referral laboratory for the diagnosis of CCHF. Blood in ethylenediaminetetraacetic acid (EDTA) medium, serum and urine of 124 suspected CCHF cases were referred from tertiary care hospitals of Gujarat state to ICMR-NIV for the diagnosis. The dengue, chikungunya and zika virus infections were ruled out using CDC trioplex real time RTPCR assays. A prospective follow-up study was performed for CCHF survivors (n = 17), till viremia was detected in the blood and then patients were discharged from the hospital, which included weekly clinical status, screening of blood and urine samples for viral RNA and serum samples for anti-CCHFV IgM and IgG antibodies. Each patient had presented at different post-onset day (POD) [i.e, from date of onset of symptoms to date of sample collection] and hence the follow up time point for each is different as described in the S1 Table. Semen samples of two cases (cases number 32 and 34) were also collected on POD 32nd and 55th.

Livestock samples (cattle, goat, sheep, bull) (n = 241) and Hyalomma annaloticum tick-pools (n = 162) from the household of confirmed CCHF cases were collected under the surveillance programme of Foot and Mouth Disease Scheme, Animal Husbandry Department, Ahmedabad, Gujarat state, India and tested for CCHFV.

Testing of CCHF viral RNA by real-time reverse transcriptase-polymerase chain reaction (qRTPCR) and anti-CCHFV IgM and IgG antibodies by Enzyme-linked Immunosorbent Assay (ELISA)

RNA was extracted from the EDTA blood, urine, semen and tick-pool (Hyalomma annaloticum) homogenates using the Magmax RNA extraction kit (Applied Biosystems, USA) as per manufacturer’s instructions and were tested by CCHFV qRTPCR [16]. Serum samples of CCHF cases were tested for anti-CCHF IgM and IgG antibodies by ELISA while livestock [cow, buffalo, goat, sheep, bull, calf] were tested for anti-CCHF IgG antibodies by ELISA [3,17]. All the infectious work was performed in containment facility of ICMR-NIV, Pune.

Quantification of cytokine level in serum samples of CCHFV cases

The serum samples of the acute phase of fatal and survivors upon recovery (at lowest viremia phase) were examined for the cytokine profile. Acute phase of fatal cases (AFC) were defined as cases with acute onset illness (POD ≤ 10 days) whose outcome was fatal. Acute phase of survived cases (ASC) were defined as cases with acute onset illness (POD ≤ 10 days) who eventually survived. The level of cytokines IL-2, IL-4, IL-6, IL-10, IFN-γ, TNF-α and IL-17A were analyzed using BD Cytometric Bead Array (CBA) Human Th1/Th2/Th17 Cytokine Kit, as per manufacturer’s instructions. Cytokine levels were measured on a BD FACS Calibur flow cytometry (BD Biosciences) using BD CellQuest Pro software. The data were analyzed using flow Cytometric analysis program (FCAP) Array software. The detection sensitivity of IL-2, IL-4, IL-6, IL-10, IFN-γ, TNF-α and IL-17A were 2.6, 4.9, 2.4, 4.5, 3.8, 3.7 and 18.9 pg/ml respectively.

Statistical analysis

The clinical data (symptoms, signs and laboratory parameters) as well as epidemiological data (month, district, history of tick bite, livestock contact, primary or secondary case, travel history) were collected. Along with this, demographic data (age, sex, occupation, relationship with primary/index cases) were also collected. Outcomes measured were different clinical presentation in fatal and survived cases. To understand the exposure details about tick bite, livestock contact and occupation were collected from each CCHF cases. Different demographic variables like age and sex were also collected to understand any specific predominance. The viral load, antibody kinetics were also collected and results were compared with fatal cases and survivors. Figures related to viral copy numbers, optical density (OD) of anti-CCHFV IgM and IgG were generated using GraphPad Prism software version 8.4.3 (GraphPad, San Diego, California). We used Epi-Info version 7.2 for calculation of proportions, p values, and Odds Ratio (OR) at 95% confidence intervals (CI). For cytokine data, we tested the null hypothesis that there was no difference in the serum cytokine level at the acute phase of CCHF and upon recovery. In the present study, we had four different study groups which were unpaired. Since, the cytokine data was not following normal distribution and the study groups were independent, we used non-parametric Kruskal–Wallis test followed by the post-hoc Dunn’s multiple comparison test to analyses the data.

NGS and phylogenetic analysis

For next generation sequencing of clinical specimens input RNA was quantified using Qubit 2.0 Fluorometer (Thermo-Fisher, Grand Island, NY, USA) followed by library preparations and quantification [18]. The quantified libraries were loaded to the NGS platform (Illumina, USA). The reads generated were analyzed using CLC Genomics Workbench version 20.0.4 (CLC, Qiagen). Reference-based mapping was performed.

Phylogenetic tree generated using MEGA Software (version X) sequences retrieved from this study and the CCHFV genomic segments downloaded from the Genbank (n = 38). A maximum-likelihood tree was generated for all three segments of CCHFV using the General time reversible model. A bootstrap replication of 1000 cycles was performed to assess the statistical robustness of the analysis. The percentage of nucleotide and amino acid differences for each gene was calculated with respect to its reference gene sequence.

Virus isolation from human and tick pools

One hundred microliters of serum samples of twenty-four cases with viral RNA copy number > 5.1 x 104 as well as twelve CCHFV positive tick-pools were inoculated onto 24-well Vero CCL-81 cell monolayers maintained in MEM (Gibco, UK) and observed for one week [1] and confirmed by qRTPCR in two continuous passages [15].

Results

Clinical presentation

Incubation period for CCHF infection was recorded as 2–12 days since the (mean 6.14 days ± 2.59 SD). Cases were observed more amongst male (61.76%) and between the age group of 19–45 years (55.88%) (Table 1). Out of 34 cases reported, 17 cases succumbed to the disease (CFR 50%). The earliest median day of admission of the fatal CCHFV cases was 6.4 days and non-fatal cases was 5.8 days. But there was no statistical significance of outcomes (recovery vs fatality) with respect days from the onset of symptoms to hospital admission. All the fatalities happened during hospital admission within 1–3 days. The survivors showed clinical resolution from the day 7–14 post-admission (mean 9.77 days ± 2.11 SD). All the cases presented with mild to high-grade fever (ranging from 990 to 1030 F). 76.4% had mild, 17.64% had moderate while 5.88% had high-grade fever. No statistical significance was observed in grades of fever with fatality. Other symptoms and signs included vomiting (35.29%), myalgia (29.41%), headache, (20.58%), diarrhea (14.70%), anorexia (14.70%) and altered sensorium (14.70%) (Table 2). Bleeding was observed in 24 cases (16 fatal and 8 survived) suggestive of damage to the endothelial cells. Bleeding was noted most commonly from one or two mucosal sites predominantly from the gums (41.66%) and hematochezia (20.83%) (Table 2). Bleeding was significantly associated with fatality; OR 16.47 (p values 0.0034 at 95%CI). Similarly, fatal CCHF cases had reported bleeding gums which was found significantly associated with mortality (p value of 0.05483 at 95%CI and OR of 8.23). No other co-morbid conditions were reported from the patients, except Diabetes mellitus type-II (controlled) in two cases.

Table 1. Details of CCHF positive cases (n = 34), clusters of cases, clinical outcome, along with livestock and tick pool positivity from different districts of Gujarat state.

Cases Number. Month Clustering of cases Districts from Gujarat Age (in years) Sex Post onset date (POD) (earliest date of admission) Cyclic threshold (Ct) value Viral RNA copy numbers per ml Anti-CCHFV IgM Sum of optical density (OD) at 450 nanometer Outcome Occupation Tick bite history Livestock contact Anti-CCHFV IgG Livestock Positive/Tested CCHFV real time-RT-PCR Tick pool positive/Tested Primary/Secondary cases Laboratory Identity Number L gene Accession Number M gene Accession Number S gene Accession Number
1 Feb .. Rajkot 33 M 6 22 8.9 x 106 + 0.52 D Farmer Nk Y 0/0 0/0 Primary MCL-19-H-99 MN866129 MN866130 MN866131
2 Mar .. Bhavnagar 48 M 8 25 1.2 x 106 + 0.33 D Farmer Y Y 0/24 0/27 Primary MCL-19-H-241 MN866132 MN866133 MN866134
3 Mar .. Bhavnagar 50 M 6 25 1.2 x 106 - 0.12 S Farmer Y Y 0/11 0/11 Primary MCL-19-H-387 MN866150 MN866151 MN866152
4 May .. Botad 70 F 9 27 3.5 x 105 + 0.87 D Homemaker (cattle handler) Nk Y 0/2 04-Sep Primary MCL-19-H-924 MN866135 MN866136 MN866137
5* July .. Bhavnagar 48 M 6 20 3.2 x 107 + 0.38 D Farmer Nk Y 0/0 0/0 Primary MCL-19-H-1565 MN866138 MN866139 MN866140
6 July .. Bhavnagar 28 M 6 25 1.2 x 106 + 0.31 S Farmer Y Y 0/5 0/5 Primary MCL-19-H-1574 MN866153 MN866154 MN866155
7 July .. Bhavnagar 50 F 2 18 1.1 x 108 + 0.43 D Homemaker (cattle handler) Nk Y 0/0 0/0 Primary MCL-19-H-1710 MN866141 MN866142 MN866143
8* Aug .. Surendranagar 75 F 7 17 2.2 x 108 + 0.26 D Homemaker (cattle handler) Nk Y 0/3 0/3 Primary MCL-19-H-1782 NR NR NR
9 Aug Cluster-1 Bhavnagar 35 F 5 19 6.2 x 106 + 0.23 D Homemaker Nk Y 05-Jun 0/6 Primary MCL-19-H-1789 MN866144 MN866145 MN866146
(cattle handler)
10 Aug Cluster-1 Bhavnagar 40 F 2 23 4.6 x 106 - 0.09 S Homemaker Nk Y .. .. Secondary MCL-19-H-1882 MN866159 MN866160 MN866161
(cattle handler)
11 Aug Cluster-2 Morbi 20 M 5 .. .. + 0.613 D Factory Worker Nk Nk 0/8 0/1 Secondary MCL-19-H-1796 NR NR NR
12 Aug Cluster-2 Morbi 19 M 4 .. .. + 0.57 S Factory Worker Nk Nk .. .. Secondary MCL-19-H-1798 NR NR NR
13 Aug Cluster-3 Surendranagar 45 F 6 23 4.6 x 106 + 0.59 D Homemaker Nk Y 02-Jun 0/6 Primary MCL-19-H-1812 MN866147 MN866148 MN866149
(cattle handler)
14 Aug Cluster-3 Surendranagar 95 F 3 26 6.7 x 105 + 0.24 S Homemaker Nk Y .. .. Secondary MCL-19-H-1816 MN866156 MN866157 MN866158
(cattle handler)
15 Aug Cluster- 4 Jamnagar 27 F 4 29 9.7 x 104 - 0.184 S Doctor No No 0/12 0/1 Secondary MCL-19-H-1920 MN866165 MN866166 MN866167
16 Aug Cluster- 4 Jamnagar 33 M 11 34 3.8 x 103 + 1.15 S Medical store keeper Nk Nk .. .. Secondary MCL-19-H-2028 MN866174 MN866175 MN866176
17 Aug .. Botad 47 F 9 20 3.2 x 107 + 0.38 D Homemaker Nk Y Mar-13 0/3 Primary MCL-19-H-2006 MN866171 MN866172 MN866173
(cattle handler)
18# Sep .. Rajkot 42 M 7 30 5.1 x 104 - 0.18 D Farmer Y Y 03-Jun 0/2 Primary MCL-19-H-2076 MN866177 MN866178 MN866179
19# Sep .. Kheda 55 M 11 22 8.9 x 106 + 0.34 D Farmer Nk Y 0/32 0/2 Primary MCL-19-H-2524 MN866183 MN866184 MN866185
20 Sep .. Bhavnagar 42 M 6 22 8.9 x 106 - 0.132 S Farmer Nk Y May-20 Feb-16 Primary MCL-19-H-2757 NR NR NR
21 Sep .. Amreli 65 F 5 23 4.6 x 106 + 0.88 D Homemaker Nk Y Feb-20 0/20 Primary MCL-19-H-2856 MN930405 MN930416 MN930426
(cattle handler)
22# Sep Cluster- 5 Bhavnagar 38 M 8 33 7.3 x 103 + 1.104 S Farmer Nk Y 03-May 01-May Secondary MCL-19-H-2928 NR NR NR
23 Oct Cluster- 5 Bhavnagar 29 F 2 31 2.6 x 104 + 0.745 S Homemaker Nk Y 0/5 0/5 Primary MCL-19-H-3068 MN930403 MN930418 MN930428
(cattle handler)
24 Oct Cluster- 5 Bhavnagar 13 F 8 36 1.0 x 103 + 1.37 S Student No No .. .. Secondary MCL-19-H-3081 MN930402 MN930419 MN930429
25 Oct .. Bhavnagar 29 M 8 36 1.0 x 103 + 1.17 S Panshop owner Nk Y .. .. Primary MCL-19-H-3078
26 Oct .. Surendranagar 43 M 9 30 5.1 x 104 + 0.78 S Herdsman Nk Y 06-Jun 0/3 Primary MCL-19-H-3075 MN930404 MN930417 MN930427
27 Oct .. Bhavnagar 53 M 7 25 1.2 x 106 + 1.27 D Farmer Nk Y 06-Jul 0/1 Primary MCL-19-H-3092 MN930408 MN930413 MN930423
28 Oct .. Amreli 60 M 12 35 2.0 x 103 + 1.314 S Cattle rarer Nk Y 10-Oct 02-May Primary MCL-19-H-3108 NR NR NR
29# Oct .. Bhavnagar 17 M 4 20 3.2 x 107 - 0.15 S Student Nk Y 01-May 02-May Primary MCL-19-H-3110 MW298534 MW298540 MW298548
30 Nov .. Bhavnagar 40 F 4 25.21 1.1 x 106 + 0.22 D Homemaker Y Y 02-Jun 0/6 Primary MCL-19-H-3154 MW298535 MW298542 MW298549
(cattle handler)
31 Nov .. Rajkot 65 M 7 27.34 2.8 x 105 + 0.924 D Farmer Nk Y 0/5 0/1 Primary MCL-19-H-3173 MW298539 MW298543 MW298550
32#% Nov .. Amreli 40 M 4 28 1.8 x 105 + 1.42 S Farmer Nk Y 0/10 0/10 Primary MCL-19-H-3232 MW298536 MW298544 MW298551
33 Nov .. Anand 20 M 5 20.25 2.7 x 107 - 0.2 D Student Nk Nk 0/6 01-Jan Primary MCL-19-H-3460 MW298537 MW298545 MW298552
34% Dec .. Bhavnagar 24 M 3 28.71 1.1 x 105 + 1.267 S Farmer Y Y 04-Aug 0/8 Primary MCL-19-H-3508 MW298538 NR MW298553

(+) Positive; (-) Negative; (M)- Male; (F)- Female; (D)- Death; (S)- Survived; (Y)- Yes; (N)-No; (Nk)- Not known

Cluster-1-Case-10 secondary case from the primary case-9

Cluster-2-Cases-11 and 12 were the secondary cases from the suspected CCHF death case in the same factory.

Cluster-3-Case-14 was the secondary case from the primary case-13

Cluster-4-Case-15 and case-16 were the secondary case from the suspected CCHF death case.

Cluster-5-Case-22 and Case-24 were secondary cases from the primary case-23

Livestock samples of Cow, buffalo, goat, sheep, bull, calf were tested for Anti-CCHFV IgG by ELISA

# Urine samples of the cases 18, 19, 22, 29 and 32 were positive for CCHFV RNA by qRTPCR assay with Ct value (viral RNA copy number/ml) of 30 (5.1 x104), 35 (2.0 x 103), 34.5 (2.8 x103), 36 (1.0 x 103), 37 (5.5 x 102) respectively on first collection. All follow up urine samples of the survival cases were—for CCHFV RNA by qRTPCR.

% Semen samples of cases-32 and 34 were found—for CCHFV RNA by qRTPCR on 32nd and 55th POD

*Successful virus isolation from the serum samples of the case numbers- 5 and 8

All clinical samples of CCHF positive cases were tested and found to be—for anti-CCHFV IgG antibodies at first collection time point.

Sum OD should be <0.2 for IgM antibody positive for CCHF case

(..) No data; NR- Sequence for the segment could not be retrieved

Table 2. Clinical presentation of fatal and survived CCHFV cases.

CCHF Cases CCHFV cases (n = 34) (%) Fatal cases (n = 17) Survived cases (n = 17) Odds Ratio (95% Confidence Interval) p value (2 tailed)
Signs and Symptoms
Fever 34/34 (100) 17/17 17/17 .. ..
Headache 7/34 (20.58) 0/17 7/17 NC NC
Myalgia 10/34 (29.41) 6/17 4/17 1.74 (0.3781–8.693) 0.4834
Arthralgia 3/34 (8.82) 1/17 2/17 0.48 (0.01502–6.855) 0.6136
Abdominal pain 3/34 (8.82) 1/17 2/17 0.48 (0.01502–6.855) 0.6136
Nausea and vomiting 12/34 (35.29) 5/17 7/17 0.60 (0.135–2.574) 0.5012
Diarrhoea 5/34 (14.70) 1/17 4/17 0.21 (0.007–1.925) 0.1899
Anorexia 5/34 (14.70) 1/17 4/17 0.21 (0.007–1.925) 0.1899
Fatigue 2/34 (5.88) 0/17 2/17 NC NC
Breathlessness 2/34 (5.88) 2/17 0/17 NC NC
Altered sensorium 5/34 (14.70) 3/17 2/17 1.59 (0.207–15.02) 0.67
Jaundice 2/34 (5.88) 2/17 0/17 NC NC
Bleeding tendencies* 24/34 (70.58) 16/17 8/17 16.47 (2.185–419.7) 0.00345
    • Haemoptysis 1/24 (4.16) 0/16 1/8 NC NC
    • Haematuria 1/24 (4.16) 0/16 1/8 NC NC
    • Hematemesis 4/24 (16.66) 2/16 2/8 0.45 (0.0384–5.125) 0.4980
    • Bleeding gums* 10/24 (4.16) 9/16 1/8 8.23 (0.9639–225) 0.05483
    • Epistaxis 1/24 (4.16) 0/16 1/8 NC NC
    • Bleeding per vaginum 1/24 (4.16) 1/16 0/8 NC NC
    • Haematochezia 5/24 (20.83) 2/16 3/8 0.26 (0.0241–2.177) 0.2134
    • Bleeding at injection site 1/24 (4.16) 1/16 0/8 NC NC
    • Ecchymoses 4/24 (16.66) 3/16 1/8 1.59 (0.1401–48.27) 0.7642
    • Petechial rash 1/24 (4.16) 1/16 0/8 NC NC

NC- Cannot be calculated as one of the cells has zero value

*Clinical presentation of bleeding was found to be significantly associated with fatality (p value of 0.00345 at 95% CI and OR of 16.47)

*Similarly, fatal CCHF cases had reported bleeding gums which was found significantly associated with mortality (p value of 0.05483 at 95% CI and OR of 8.23)

Laboratory findings revealed leucopenia (1200/ μL- 4000/ μL) in twenty cases and severe thrombocytopenia (7000/ μL-95000/ μL) with underlying bleeding disorder in all the cases (S2 Table). The level of serum aspartate aminotransferase (AST) and alanine aminotransferase (ALT) were elevated in all the cases (S2 Table). Prothrombin time (PT), International Normalized Ratio (INR) and activated partial thromboplastin time (aPTT) were elevated in all the twenty-four cases with bleeding, suggestive of deranged coagulation parameters (S2 Table). Blood urea and serum creatinine were elevated only in three fatal cases (cases numbers-1, 18, 19) and one survived case number-32, suggestive of acute kidney injury (S2 Table). All the patients were started on ribavirin therapy immediately as per the national CCHF management guidelines. Along with that the supportive treatment was provided which focused on maintaining the fluid and electrolyte balance and the ventilator support for maintaining the oxygen saturation. Depending on the clinical presentation, inotropic drugs were given along with the transfusion of the packed cell volume/fresh frozen plasma for providing the hemodynamic support. Broad spectrum antibiotic therapy were also initiated to prevent/treat any secondary infections.

Cluster of CCHF cases

Thirty-four CCHF cases were reported from nine districts (Bhavnagar, Surendranagar, Rajkot, Morbi, Jamnagar, Amreli, Anand, Kheda and Botad) of Gujarat state in 2019 (Fig 1). Sporadic cases of CCHF were detected throughout the year with an increase in the incidence of cases in August followed by September and October months (Fig 2). Twenty-eight out of 34 cases (82.35%) had a history of livestock contact but only six cases (case numbers-2, 3, 6, 18, 30 and 34) recalled and gave definitive tick bite history in preceding ten days before the onset of symptoms. No history of recent travel in the preceding three months in any cases. Clustering of cases amongst the close contacts and health care workers were also observed from Morbi, Surendranagar, Jamnagar and Bhavnagar districts (Table 1). Out of 34 cases, 8 secondary cases were reported with possibility of human to human transmission by exposure to body fluids including vomitus and blood of infected cases (Table 1). Five clusters of human to human transmission were observed. All secondary cases with human to human transmission had less viremia and all had survived.

Fig 1. District-wise CCHF positivity in the humans, tick-pools and livestock from Gujarat State, India during the year 2019.

Fig 1

Image attribution: https://d-maps.com/carte.php?num_car=8623&lang=en. License attribution: https://d-maps.com/conditions.php?lang=en. The map was modified showing the district-wise CCHF human cases, tick-pools and livestock positivity in the year 2019. All the details provided in the figure are created by the author themselves using the licensed version of the online software Biorender.com.

Fig 2. Month-wise distribution of CCHF cases and deaths in Gujarat state during 2019.

Fig 2

Cluster-1 [Case-10 as secondary case from the primary case-9]

40 year female, homemaker from Bhavnagar district, close contact case-9, was exposed during the patient care activities. Cluster-2 [Cases-11 and 12 were the secondary cases from the suspected CCHF death case in the same factory]: In Morbi district, two factory workers tested positive for anti-CCHF IgM antibodies. When the history was elicited, there were no definitive tick bites or animal contacts. They reported to had contact with a suspected CCHF case (co-worker) who died a week back before they developed symptoms (exposed during patient care and during cremation).

Cluster-3 [Case-14 was the secondary case from the primary case-13]

In Surendranagar district, 95 year old female tested positive for CCHF. When detailed history was elicited, she gave contact with the suspected CCHF death case (her daughter in law) 5 days before onset of her own symptoms. The retrospective samples of the case-14 were tested and were found positive for CCHF (exposed during patient care and during last ritual activities).

Cluster-4 [Case-15 and case-16 were the secondary case from the suspected CCHF death case]

One health care worker from tertiary care hospital (examined the suspected CCHF death case) and one close relative (brother of the same suspected CCHF death case) from Jamnagar district tested positive for CCHF (exposed to vomitus and blood while examining and patient care activities).

Cluster-5 [Case-22 and Case-24 were secondary cases from the primary case-23]

Two family members including niece (case-24) and husband (case-22) developed symptoms 3 to 4 days of contact with CCHF case-23 (exposed to the body fluids including blood, vomitus and stool while performing patient care activities).

Viral load in the blood, urine and semen of the CCHF cases

Out of 124 suspected cases 34 (17 fatal; 17 survivors) were found positive for CCHFV. The mean viral RNA copy number in fatal cases was 7.2 x 106 while in survivors was 1.0 x105 (Table 1). Viral load appeared to decline over time, but no clear trend could be recognized in the fatal cases as only one time point collection was available (Fig 3A and 3B). Seventeen survived cases showed reduction in viral copy number after 35th POD of which one patient showed persistence of viremia till 76th POD (Fig 3B). Out of 34 cases, urine samples of 5 cases (case numbers-18, 19, 22, 29 and 32) could detect viral RNA copies ranging from 104−102 during initial collection. Semen samples of two survivors (case numbers-32 and 34) (provided consent) were found negative on 32nd and 55th POD.

Fig 3. CCHF Viral RNA, anti-CCHFV IgM and anti-CCHFV IgG kinetics of CCHFV cases.

Fig 3

(A) CCHF viral RNA amongst fatal and survivors (B) CCHF viral RNA amongst individual survivors at different time points (C) Anti-CCHFV-IgM antibodies amongst individual survivors at different time points and fatal cases (D) Anti-CCHFV-IgG antibodies amongst individual survivors at different time points and fatal cases.

Anti-CCHFV IgM and IgG antibody responses in CCHF cases

Serum samples from 124 suspected CCHF cases were screened by ELISA. 27 cases were found positive for anti CCHF IgM ELISA (Table 1). The detection of anti-CCHFV IgM antibodies started from 2nd POD and increased gradually till the last time point of collection i.e 76th POD (Fig 3C). Anti-CCHFV IgG antibodies were absent in the first time point of collection in both survivors and fatal cases. Anti-CCHFV IgG antibodies positivity was observed after 20th POD in two cases; however, most of the survivors were positive by 28th POD (Fig 3D).

The dotted line in Fig 3C and 3D indicates the limit of detection of the assay. The different colour and shapes in Fig 3A, 3B, 3C and 3D indicates individual CCHF survivors. Each case is given a specific colour and shape and the same is followed in Fig 3A, 3B, 3C and 3D.

Livestock and tick pool samples positivity for CCHFV

A total of 241 Livestock samples (cow, buffalo, goat, sheep, bull, calf) were screened using ELISA and H. annaloticum tick-pools (n = 162) were screened by real time RT PCR. 21.57% livestock [cow, buffalo, goat, sheep] were found positive for anti-CCHFV IgG antibodies by ELISA while CCHFV RNA were detected in 7.4% tick pools (H.annaloticum) with copy number ranging from 107−104 (Table 1). The livestock and tick pools positivity denoted the ongoing presence of epizootic cycle of CCHF which has huge zoonotic potential to cause the disease in humans.

Cytokine profile in serum samples during CCHF infection

The serum samples of acute phase of infection in fatal cases (AFC) (n = 10), acute phase of infection in survived cases (ASC) (n = 13), recovered cases (n = 11) and healthy controls (n = 12) were determined using cytometric bead array (CBA) assay for understanding the cytokine profile. The pro-inflammatory cytokine, IL-6 was found significantly higher in the acute phase of fatal cases (Mean ± SE, 1924 pg/ml ± 1091, P<0.001), acute phase of survivors (Mean ± SE, 402.56 pg/ml ± 149.7, P<0.01) and convalescent-phase (Mean ± SE, 7925.88 pg/ml ± 2576, P<0.001) (Fig 4A). The anti-inflammatory cytokine, IL-10 was found significantly elevated in the acute phase of fatal (Mean ± SE, 81.65 pg/ml ± 27.16, P<0.001) and acute phase of survivors (Mean ± SE, 20.83 pg/ml ± 11.61, P<0.01) (Fig 4B). Additionally, the IL-10 level in the acute phase of survived CCHF cases subsided to normal upon recovery (Mean ± SE, 3.21 pg/ml ± 2.05). The level of IFN-γ was found significantly higher in the acute phase of fatal (Mean ± SE, 14.53 pg/ml ± 5.42, P<0.01) and survivors (Mean ± SE, 1.22 pg/ml ± 1.2, P<0.05) (Fig 4C). The level of TNF-α was found significantly increased upon recovery (Mean ± SE, 17.67 pg/ml ± 9.05, P<0.01) (Fig 4D). The serum level of IL-17A was found comparable within the different study groups (Fig 4E). The serum level of IL-2 and IL-4 was below the limit of detection.

Fig 4. Level of Th1/Th2/Th17 cytokines in the serum samples of acute phase of infection in fatal cases (AFC) (n = 10), acute phase of infection in survived cases (ASC) (n = 13), recovered cases (RC) (n = 11) and healthy controls (HC) (n = 12) were determined using cytometric bead array (CBA) assay.

Fig 4

The results are expressed in scatter dot plot of individual values and data are given as Mean ± SEM (pg/ml) of (A) IL-6, (B) IL-10, (C) IFN-γ, (D) TNF-α and (E) IL-17A. Data were analyzed between groups by the non-parametric Kruskal–Wallis test followed by the post-hoc Dunn’s multiple comparison test. The horizontal lines indicate mean values. * P < 0.05; ** P < 0.01; *** P < 0.001.

NGS and phylogenetic analysis

Information of the circulating CCHFV strain during the year 2019 is very important to understand if there is introduction of new strains or any reassortments happening in the recent circulating strains. Therefore 29 clinical specimens (27 from EDTA blood and 2 from urine samples) and 5 from tick pools were processed using next generation sequencing and CCHFV sequences were retrieved from these samples. The details of CCHFV genomic sequences which were recovered and reads mapped for the CCHFV sequences are presented in Table 3.

Table 3. The percentage of the genome recovered and the reads mapped for the each CCHFV sequences retrieved in this study.

The NGS reads were mapped to the L gene (Accession No: KC867272), Asian M gene (Accession No: MN866207), African M gene (Accession No: MH396671), and S gene (Accession No: KX013446).

Sequences Relevant Read Total reads Retrieved Length
L M S L M S
MCL-19-H-241 1012120 345845 106247 16,05,042.00 12120 5355 1634
MCL-19-H-2006 627206 194335 57755 11,29,464 12120 5349 1634
MCL-19-H-3081 72138 27205 15789 23,24,644 12120 5350 1634
MCL-19-H-1710 1030802 313698 87133 15,18,798 12120 5350 1634
MCL-19-H-1789 1148952 326778 113846 16,26,626 12120 5350 1634
MCL-19-H-387 769186 268389 84651 49,13,742 12120 5348 1634
MCL-19-H-1882 7473 2250 1333 19,25,436 12120 5342 1634
MCL-19-H-3154 105203 48251 15873 16,56,392 11910 5345 1634
MCL-19-H-1574 81692 28353 9869 10,54,358 12120 5346 1634
MCL-19-H-1565 726630 304831 81504 15,60,840 12120 5353 1634
MCL-19-H-2856 395933 102640 68823 28,32,494 12120 5348 1634
MCL-19-H-3092 670183 226030 69377 37,47,382 12120 5342 1634
MCL-19-H-3508 5121 1908 1318 62,01,156 11911 5295 1634
MCL-19-T-2059 83862 53470 15031 12,38,616 12120 5349 1634
MCL-19-H-3110 1356823 688616 483119 88,68,778 12120 5360 1634
MCL-19-H-1812 942096 364576 97360 15,29,536 12118 5358 1634
MCL-19-H-1816 14362 6629 2264 19,34,670 11895 5340 1634
MCL-19-H-99 562158 126505 52823 16,38,634 12120 5359 1634
MCL-19-H-924 23702 6255 3491 11,10,434 12120 5338 1634
MCL-19-H-3075 17574 9113 4192 18,96,776 12120 5339 1634
MCL-19-H-3068 8501 2682 1297 23,95,184 12120 5375 1634
MCL-19-H-2076 2094053 500139 296740 58,36,352 12120 5375 1634
MCL-19-H-2077 23343 5427 4291 13,34,074 12118 5337 1628
MCL-19-T-1989 2823710 990756 288174 45,23,102 12120 5351 1634
MCL-19-H-3232 99334 25164 10774 28,56,082 12119 5346 1634
MCL-19-T-2032 33161 6701 2384 13,37,494 12120 5343 1634
MCL-19-H-1920 5941 2328 799 18,54,722 12120 5341 1626
MCL-19-H-2028 2443 826 515 18,46,258 12045 5330 1600
MCL-19-T-1812 5371 547 1637 8,18,602 11938 1794 1633
MCL-19-H-3460 902702 563948 218017 22,55,190 12141 5361 1635
MCL-19-H-3173 39520 485 5938 16,33,094 12149 5308 1633
MCL-19-H-2525 26206 10001 1950 1,10,008 11967 5321 1604
MCL-19-H-2524 387726 121611 23067 6,82,932 11967 5349 1634

The CCHFV sequences retrieved from the 29 clinical specimens and 5 tick pools were each belonging to L and S gene clustered with the Asian clade. The Asian clade is further grouped into Asia 1 and Asia 2 subgroups [19,20]. The sequences retrieved in this study were found in both the subgroups. Majority of CCHFV sequences from Gujarat clustered with Asia 2 subgroup (Fig 5A and 5B). The remaining small subset of the sequences had proximity with Matin (Pakistan) and Iran sequences that formed a part of Asia 1 subgroup. The percentage nucleotide difference between L gene and the S gene of the Asia 1 and Asia 2 sequences was nearly 9–10% and 8–9% respectively, with respect to the earlier (2010) CCHFV sequence. This indicated the variation within CCHFV nucleotide sequences retrieved from Gujarat, India.

Fig 5. Phylogenetic tree for the L M and S genes for the CCHFV (depicted in A, B and C respectively).

Fig 5

Maximum-Likelihood tree for CCHFV sequences retrieved from the clinical samples of the Gujarat state. The tree was constructed using the representative clades downloaded from Genbank using the General-time reversible model with gamma distribution as the rate parameter. The bootstrap replication of 1000 cycles was used to assess the statistical robustness of the generated tree. The scale depicts the number of base substitutions per site. Clades are marked in different colours. * indicates the fatal CCHF cases.

The M gene segment of these 32 CCHFV sequences had a differential clustering. Two sequences, one from tick-pool (MCL-19-T-2031) and one from human (MCL-19-H-3173), clustered with the West Africa-1 clade Senegal sequences, while the remaining 30 CCHFV M gene sequences grouped with the M2 genotype. It was observed that the CCHFV M gene sequences of the West Africa and the two Indian sequences, from this study shared a common ancestor (Fig 5C). The percentage of the nucleotide and amino-acid divergence for M gene was observed to be in the range of 0–8.3% within the M2 genotype, with respect to the earlier (2010) CCHFV sequence. The presence of L and S gene segment in Asian clade and the M gene segment in the African clade is indicative of re-assortment. Apart from the presence of segment in this study earlier CCHFV sequence also clustered to African clade, indicting its earlier presence. The percentage of the nucleotide and amino-acid divergence for each gene is provided in S3 Table and analysis revealed no specific changes associated with the increased mortality.

CCHF virus isolation

Virus isolation was attempted from the 24 cases with high viral load and twelve CCHFV positive tick-pools. Serum samples from two cases (case numbers-5 and 8) yielded virus isolation on 7th post infection day which was confirmed by qRTPCR with viral RNA copy number of 2.3 x 107 and 1.4 x 106 respectively. None of the tick pools yielded any isolation.

Discussion

CCHF cases were observed sporadically with increase in the incidence during rainy and winter seasons due to close proximity of livestock and humans, leading to increase possibility of tick bites [19,20]. Occupational vulnerability and risk factors for CCHF have been documented previously amongst the people involved in farming, animal handling, milking the animals, animal grazing, veterinary care providers, slaughtering of animals and nosocomial infection amongst healthcare workers [17,21].

Countries like Turkey had reported highest CCHF cases and an overall mortality rate just under 5% [22]. This study reveals that primary cases (n = 26) with either history of known tick bites or through livestock contacts showed high viral RNA copy number ranging from 107−106 and higher mortality (65.38%). No mortality was observed in secondary cases (n = 8) with viral RNA copy number ranging from 106−103. The high CFR amongst CCHF cases observed in our study implies to the high viral load and bleeding [17,19,20,23,24,25]. Persistence of the CCHF viral RNA without any symptom or sign of active disease in survivors up to 76th POD as noticed in our study has not been reported earlier. This finding of an extended persistence of CCHF viral RNA has a significant implication for public health implying that CCHF cases can remain infective and standard contact precautions needs to be taken during patient care activity. However these facts need to be corroborated further with isolation of CCHFV from the clinical samples to understand the infective potential. Earlier studies by Yagci-Caglayik etal demonstrated detection of CCHFV RNA upto 18 days in serum samples followed by detection until day 14, 17, 16, 18 and 19 in oral swab, nasal swab, urine, faecal swab and sweat swab respectively [26]

We could detect CCHF viral RNA in urine samples in only five cases, suggesting urine is not a good clinical sample for diagnosis. None of the seventeen CCHF survivors whom we had followed showed viral RNA at any time point of collection in the urine samples. The semen samples in two cases after clinical recovery were found to be negative for viral RNA. Further research is needed to understand the infectiousness of the urine and seminal samples.

The findings of leukopenia, thrombocytopenia, elevated PT, INR and aPTT along with SGOT and SGPT in our patients is in concordance with earlier published reports [6,7].

To date, CCHF disease has no definitive proven prophylactic/therapeutic therapy and management options are limited to the administration of ribavirin [27]. Hence, supportive therapy stays as a critical part for case management. Our study also showed clusters of human to human transmission leading to secondary cases which enlightens the importance of contact tracing.

Previous studies indicated an elevated IL-6 levels are consistent with the severity of CCHF [12,24,28] and our study also demonstrated an elevated IL-6 level, indicative of raised pro-inflammatory responses. Besides, increased serum IL-10 level and IFN-γ during the acute phase of the infection are also in line with the previous findings [12,14,2931]. Interestingly, serum IL-10 level subsided to normal, upon recovery, suggesting its role during the active phase of infection. Additionally, the study indicated increased TNF-α cytokine upon recovery. Although, the present study indicated a mixed pro-inflammatory and anti-inflammatory cytokine response during acute phase, the outcome of the disease could have been dictated by the dominant anti-inflammatory cytokine, IL-10 that lowered to normal upon clearance of the virus in the clinically recovered case.

Findings from the earlier study showed the circulation of different CCHFV strains: S gene of Asia-I and M2 strains [21]. In most of the outbreaks prior to year 2016, intra-genotypic re-assortant of S–Asia-2 and Far East M2 viruses with parental origins in the S (from Tajikistan strain TADJ/HU8966) and L and M (from Afghanistan strain Afg09-2990) was reported [3, 21]. Also, to date from India, the human sequences obtained from previous studies clustered with the Asian lineage [3,4]. In this study, we have identified re-assortment of CCHFV strain from the human sample and tick-pools circulating in Gujarat state in year 2019. The presence of re-assortment of Asian-West African strains within the Hyalomma tick pools from Rajasthan state, India and now in human from Gujarat state emphasize the movement of ticks through animal trade and tick bites to human spreading the infection in both the states [5]. We observed that the distribution of the amino acid mutations was not linked to any specific geographical location or increased virulence. However, significant amino-acid mutations were observed in the current reported strains indicating its evolution in India. M-gene West African-Asian strain re-assortment needs further evidence to come to a definitive completion to understand its importation and mixing of two different lineages of CCHFV. The viral RNA presence for a longer time in CCHF infected patients should also be confirmed with virus isolation to understand if they have the transmission capacity.

Conclusion

This sequential study in CCHF survivors showed for the first time persistence of viral RNA till 76th POD, along with detection of anti-CCHFV IgM antibodies from 2nd POD and while of anti-CCHFV IgG antibodies after 20th POD. This study also identifies the circulation of a re-assortment of Asian-African genotype and Asian genotypes from CCHF cases for the first time from India.

Limitation of the study

The cell mediated immune responses could not be studied in the fatal and non-fatal cases considering the difficulties in the timely PBMC isolation as samples come from very remote areas of the country. Though efforts for virus isolation was made on all the follow up samples, but the isolation was not successful and the infectiousness for such longer time of viremia could not be established. There are many factors which lead to unsuccessful virus isolation from the clinical samples including the sample quality; cold chain from collection till the laboratory procedure, Ct value of the samples, and above all the chances of successful isolation is itself very low. More sampling and testing of seminal as well as vaginal fluids are required during acute as well as recovery phase to come to the conclusion of sexual transmission of CCHF.

Supporting information

S1 Table. Details of the time points for the follow-up of the CCHF survivors.

(DOCX)

S2 Table. Laboratory biochemical and haematological parameters of CCHFV cases (n = 34) on the day of admission.

(DOCX)

S3 Table. The percentage of the nucleotide and amino acid divergence for each gene with respect to the reference CCHFV L, M, S segments having accession number MH396640.

(DOCX)

Acknowledgments

Authors gratefully acknowledge the encouragement and support extended by Prof. (Dr.) Balram Bhargava, Secretary to the Govt. of India Department of Health Research, Ministry of Health & Family Welfare, & Director-General, ICMR; Dr. Devendra T. Mourya, Former Director, ICMR-NIV Pune and Prof. (Dr.) Priya Abraham, Director, ICMR-NIV, Pune. We thank the team members of ICMR-NIV, Pune including Ms. Pranita Gawande, Mr. Hitesh Dighe, Mrs. Ashwini Waghmare, Ms. Kaumudi Kalele, Mr. Deepak Mali, Ms. Manisha Dudhmal, Mr. Yash Joshi, Mr. Prasad Sarkale, Mr. Shrikant Baradkar, Mr. Abhimanyu Kumar and Mr. Sanjay Gopale for providing excellent technical support for laboratory diagnosis during CCHFV outbreak time. Authors also give due acknowledgement to Professor and Heads and their technical staff from Microbiology department of Government Medical College and Sir T Hospital, Bhavnagar (Dr. Kairavi Desai); BJ Medical College, Ahmedabad (Dr. Mahendra M. Vegad); Shri M P Shah Government Medical College, Jamnagar (Dr. Mala Sinha); Pandit Dindayal Upadhyay Medical College, Rajkot (Dr. Madhulika Mistry) and Smt. NHL Municipal Medical College, Ahemdabad (Dr. Parul Shah) for sample packaging and shipment coordination. Authors also extend the acknowledgment to Dr. Dinkar Rawal, Additional Director Health, Gujarat state; Dr. G C Patel, Deputy Director (Epidemic) and all the District Epidemic Officers (Dr. Parvezkhan Pathan, Bhavnagar; Dr. Biren Manvar from Jamnagar; Dr. Nilesh Rathod from Rajkot; Dr. R R Chauhan from Botad; Dr. Arbind Singh from Surendranagar; Dr. Arun Kumar Singh from Amreli; Dr. Jayesh Solanki, Anand and Dr. Ajit Thakar from Kheda) for the coordination and reporting.

Data Availability

All relevant data are within the manuscript in Table 1, Table 2, Table 3, S1 Table, S2 Table and S3 Table as well as on the public repository GenBank NCBI. The accession numbers for L, M and S genes of CCHF can be found in Table 1.

Funding Statement

The study was supported by grant from the Indian Council of Medical Research, New Delhi, India. Grant number: VIR/28/2019/ECD-1 dated 16.09.2019. to RRS and PDY. https://main.icmr.nic.in/ The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Al-Abri SS, Abaidani IA, Fazlalipour M, Mostafavi E, Leblebicioglu H, Pshenichnaya N, et al. Current status of Crimean-Congo haemorrhagic fever in the World Health Organization Eastern Mediterranean Region: issues, challenges, and future directions. Int J Infect Dis. 2017May;58:82–89. doi: 10.1016/j.ijid.2017.02.018 Epub 2017 Mar 1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.World Health Organization Crimean-Congo haemorrhagic fever (CCHF) Fact sheet. Available from https://www.who.int/news-room/fact-sheets/detail/crimean-congo-haemorrhagic-fever [accessed on 10.02.2021]
  • 3.Mourya D.T., Yadav P.D., Shete A.M., Gurav Y.K., Raut C.G., Jadi R.S., et al. 2012. Detection, isolation and confirmation of Crimean-Congo hemorrhagic fever virus in human, ticks and animals in Ahmadabad, India, 2010–2011. PLoS Negl Trop Dis 6, e1653. doi: 10.1371/journal.pntd.0001653 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Makwana D., Yadav P.D., Kelaiya A., Mourya D.T., 2015. First confirmed case of Crimean-Congo haemorrhagic fever from Sirohi district in Rajasthan State, India. Indian J. Med. Res. 142, 489–491. 10.4103/0971-5916.169221 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Sahay RR, Dhandore S, Yadav PD, Chauhan A, Bhatt L, Garg V, et al. Detection of African genotype in Hyalomma tick pools during Crimean Congo hemorrhagic fever outbreak, Rajasthan, India, 2019. Virus Res. 2020Sep;286:198046. doi: 10.1016/j.virusres.2020.198046 Epub 2020 Jun 4. . [DOI] [PubMed] [Google Scholar]
  • 6.Elaldi N, Bodur H, Ascioglu S, Celikbas A, Ozkurt Z, Vahaboglu H, et al. Efficacy of oral ribavirin treatment in Crimean-Congo haemorrhagic fever: a quasi-experimental study from Turkey. J Infect. 2009;58(3):238–244. doi: 10.1016/j.jinf.2009.01.014 [DOI] [PubMed] [Google Scholar]
  • 7.Ergonul O. Crimean-Congo haemorrhagic fever. Lancet Infect Dis. 2006;6(4):203–214. doi: 10.1016/S1473-3099(06)70435-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Gunes T, Engin A, Poyraz O, Elaldi N, Kaya S, Dokmetas I, et al. Crimean-Congo hemorrhagic fever virus in high-risk population. Turkey Emerg Infect Dis. 2009;15(3):461–464. doi: 10.3201/eid1503.080687 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Crimean-Congo Haemorrhagic Fever (CCHF), CD Alert. January 2011: Vol. 14: No. 1. Available from https://www.ncdc.gov.in/WriteReadData/linkimages/January7434567273.pdf (accessed on 10.10.2020)
  • 10.Prioritizing diseases for research and development in emergency contexts WHO. Available from http://www.who.int/blueprint/priority-diseases/en/. (accessed on 10.10.2020)
  • 11.Papa A, Bino S, Velo E, Harxhi A, Kota M, Antoniadis A. Cytokine levels in Crimean-Congo hemorrhagic fever. J Clin Virol. 2006;36(4):272–276. doi: 10.1016/j.jcv.2006.04.007 [DOI] [PubMed] [Google Scholar]
  • 12.Ergonul O, Tuncbilek S, Baykam N, Celikbas A, Dokuzoguz B. Evaluation of serum levels of interleukin (IL)-6, IL-10, and tumor necrosis factor-alpha in patients with Crimean-Congo hemorrhagic fever. J Infect Dis. 2006;193(7):941–944. doi: 10.1086/500836 [DOI] [PubMed] [Google Scholar]
  • 13.Saksida A, Duh D, Wraber B, Dedushaj I, Ahmeti S, Avsic-Zupanc T. Interacting roles of immune mechanisms and viral load in the pathogenesis of Crimean-Congo hemorrhagic fever. Clin Vaccine Immunol. 2010;17(7):1086–1093. doi: 10.1128/CVI.00530-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Kaya S, Elaldi N, Kubar A, Gursoy N, Yilmaz M, Karakus G, et al. Sequential determination of serum viral titers, virus-specific IgG antibodies, and TNF-α, IL-6, IL-10, and IFN-γ levels in patients with Crimean-Congo hemorrhagic fever. BMC Infect Dis. 2014Jul28;14:416. doi: 10.1186/1471-2334-14-416; PMCID: PMC4133611. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Cevik MA, Erbay A, Bodur H, Eren SS, Akinci E, Sener K, et al. Viral load as a predictor of outcome in Crimean-Congo hemorrhagic fever. Clin Infect Dis. 2007;45(7):e96–e100. doi: 10.1086/521244 [DOI] [PubMed] [Google Scholar]
  • 16.Liu J, Ochieng C, Wiersma S, Ströher U, Towner JS, Whitmer S, et al. Development of a TaqMan Array Card for Acute-Febrile-Illness Outbreak Investigation and Surveillance of Emerging Pathogens, Including Ebola Virus. J Clin Microbiol. 2016Jan;54(1):49–58. doi: 10.1128/JCM.02257-15 Epub 2015 Oct 21. ; PMCID: PMC4702733. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Mourya DT, Yadav PD, Gurav YK, Pardeshi PG, Shete AM, Jain R, et al. Crimean Congo hemorrhagic fever serosurvey in humans for identifying high-risk populations and high-risk areas in the endemic state of Gujarat, India. BMC Infect Dis. 2019Feb1;19(1):104. doi: 10.1186/s12879-019-3740-x; PMCID: PMC6359815. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Yadav P.D., Albariño C.G., Nyayanit D.A., Guerrero L., Jenks M.H., Sarkale P., et al. 2018. Equine Encephalosis Virus in India, 2008. Emerg Infect Dis 24, 898–901. doi: 10.3201/eid2405.171844 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Umair M, Khurshid A, Alam MM, Akhtar R, Salman M, Ikram A (2020) Genetic diversity and phylogenetic analysis of Crimean-Congo Hemorrhagic Fever viruses circulating in Pakistan during 2019. PLoS Negl Trop Dis 14(6): e0008238. doi: 10.1371/journal.pntd.0008238 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Aslam S., Latif M.S., Daud M., Rahman Z.U., Tabassum B., Riaz M.S. et al. (2016). Crimean-Congo hemorrhagic fever: Risk factors and control measures for the infection abatement (Review). Biomedical Reports, 4, 15–20. doi: 10.3892/br.2015.545 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Yadav PD, Thacker S, Patil DY, Jain R, Mourya DT. Crimean-Congo Hemorrhagic Fever in Migrant Worker Returning from Oman to India, 2016. Emerg Infect Dis. 2017;23(6):1005–1008. doi: 10.3201/eid2306.161950 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Leblebicioglu H, Ozaras R, Irmak H, Sencan I. Crimean-Congo hemorrhagic fever in Turkey: Current status and future challenges. Antiviral Res. 2016Feb;126:21–34. doi: 10.1016/j.antiviral.2015.12.003 Epub 2015 Dec 13. . [DOI] [PubMed] [Google Scholar]
  • 23.Joubert JR, King JB, Rossouw DJ, Cooper R. A nosocomial outbreak of Crimean-Congo haemorrhagic fever at Tygerberg Hospital: Part III. Clinical pathology and pathogenesis. S Afr Med J. 1985;68(10):722–728. [PubMed] [Google Scholar]
  • 24.Duh D, Saksida A, Petrovec M, Ahmeti S, Dedushaj I, Panning M, et al. Viral load as predictor of Crimean-Congo hemorrhagic fever outcome. Emerg Infect Dis. 2007;13(11):1769–1772. doi: 10.3201/eid1311.070222 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Wölfel R, Paweska JT, Petersen N, Grobbelaar AA, Leman PA, Hewson R, et al. Virus detection and monitoring of viral load in Crimean-Congo hemorrhagic fever virus patients. Emerg Infect Dis. 2007;13(7):1097–1100. doi: 10.3201/eid1307.070068 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Yagci-Caglayik D., Kayaaslan B., Yapar D., Kocagul-Celikbas A., Ozkaya-Parlakay A., Emek M., et al. Monitoring Crimean-Congo haemorrhagic fever virus RNA shedding in body secretions and serological status in hospitalised patients, Turkey, 2015. Euro surveillance: bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 25(10), 1900284. 10.2807/1560-7917.ES.2020.25.10.1900284 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Duygu F, Kaya T, Baysan P. Re-evaluation of 400 Crimean-Congo hemorrhagic fever cases in an endemic area: is ribavirin treatment suitable? Vector Borne Zoonotic Dis. 2012Sep;12(9):812–6. doi: 10.1089/vbz.2011.0694 Epub 2011 Oct 18. . [DOI] [PubMed] [Google Scholar]
  • 28.Izadi S, Salehi M. Evaluation of the efficacy of ribavirin therapy on survival of Crimean-Congo hemorrhagic fever patients: a case-control study. Jpn J Infect Dis. 2009Jan;62(1):11–5. . [PubMed] [Google Scholar]
  • 29.Avila-Aguero ML, Avila-Aguero CR, Um SL, Soriano-Fallas A, Cañas-Coto A, Yan SB. Systemic host inflammatory and coagulation response in the Dengue virus primo-infection. Cytokine. 2004Sep21;27(6):173–9. doi: 10.1016/j.cyto.2004.05.007 . [DOI] [PubMed] [Google Scholar]
  • 30.Ergönül Ö, Şeref C, Eren Ş, Çelikbaş A, Baykam N, Dokuzoğuz B, et al. Cytokine response in crimean-congo hemorrhagic fever virus infection. J Med Virol. 2017Oct;89(10):1707–1713. doi: 10.1002/jmv.24864 Epub 2017 Jul 6. . [DOI] [PubMed] [Google Scholar]
  • 31.Sancakdar E, Güven AS, Uysal EB, Kaya A, Deveci K, Karapınar H, et al. Evaluation of cytokines as Th1/Th2 markers in pathogenesis of children with Crimean-Congo hemorrhagic fever. Int J Clin Exp Med. 2014Mar15;7(3):751–7. ; PMCID: PMC3992418. [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Table. Details of the time points for the follow-up of the CCHF survivors.

(DOCX)

S2 Table. Laboratory biochemical and haematological parameters of CCHFV cases (n = 34) on the day of admission.

(DOCX)

S3 Table. The percentage of the nucleotide and amino acid divergence for each gene with respect to the reference CCHFV L, M, S segments having accession number MH396640.

(DOCX)

Data Availability Statement

All relevant data are within the manuscript in Table 1, Table 2, Table 3, S1 Table, S2 Table and S3 Table as well as on the public repository GenBank NCBI. The accession numbers for L, M and S genes of CCHF can be found in Table 1.


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