Introduction

Brucellosis is a widespread zoonotic disease caused by species of the genus Brucella, which are small, gram-negative, nonmotile, facultative intracellular coccobacilli1. Brucellosis has been successfully controlled in many developed countries through the implementation of multifaceted control strategies that include vaccination and test-and-slaughter of infected livestock2. However, at least 500,000 cases of human brucellosis are reported annually worldwide3. Direct contact with infected animals and the ingestion of contaminated dairy products are the most common transmission routes. The elimination of infected animals is the most effective prevention strategy for brucellosis4. Fever, sweating, and muscle joint pain are common manifestations of human brucellosis, and the disease can progress to a chronic condition with the appearance of severe complications5. Brucellosis represents a significant threat to animal husbandry and results in enormous economic losses. Furthermore, brucellosis is one of the major public health concerns in China, and the number of human brucellosis cases has increased dramatically6. Shaanxi Province is located in Northwestern China. There are eight provinces bordering Shaanxi—Henan, Hubei, Chongqing, Sichuan, Gansu, Ningxia, Inner Mongolia, and Shanxi Provinces—and the majority are epidemic regions for human brucellosis7. Shaanxi Province has 14 districts (cities and counties) and 107 counties (cities, districts) under its jurisdiction. The region is divided into northern Shaanxi, Guanzhong, and southern Shaanxi, of which northern Shaanxi is dominated by agriculture and animal husbandry.

Based on previous reports, Shaanxi was divided into general brucellosis epidemic areas in China8. From 2005 to 2018, a total of 12,671 confirmed human brucellosis cases were reported in Shaanxi Province, and the average annual incidence reached 11.50/100,000, which was higher than the national average incidence in 2018 (2.73/100,000)9. The latest study focuses on the spatial and temporal distributions and model for risk prediction of human brucellosis in Shaanxi Province between 2005 and 2018. This study showed that human brucellosis cases were mainly distributed in the Shaanbei upland plateau before 2008 and then slowly extended towards the southern region with significant seasonal fluctuations10. Multiple climatic factors (air temperature, sunshine duration, rainfall and relative humidity, etc.) have potent pertinence to the transmission of human brucellosis with seasonal fluctuations10. However, comprehensive analysis of the epidemic situation, incidence rate of regions, specific demographic and seasonality features of human brucellosis, and characterization of the species/biovars, geographic distribution and genetic profile of Brucella strains isolated in this province is necessary to formulate targeted control measures.

Multilocus sequence ty** (MLST) is a robust tool used to investigate global epidemiological and phylogenetic relationships in bacterial populations. Combining data from sets of multiple gene fragments can be highly discriminatory while retaining signatures of long-term evolutionary relationships11. Moreover, a previous study found that MLST is suitable for discrimination at the species level, and the method has been used to perform population-level investigations of Brucella isolates12. Notably, a significant advantage of MLST is that sequence data can be shared between laboratories and individuals, thereby promoting the exchange of molecular ty** data for the global epidemiology of pathogens13. Therefore, our study combined epidemiological indices, conventional bioty**, and the MLST approach to investigate the epidemiological characteristics of human brucellosis and the structural characteristics of Brucella populations to formulate an available strategy for control and prevention of human brucellosis in Shaanxi Province.

Materials and methods

Ethics statement

This research was carried out according to the principles of the Declaration of Helsinki. The study protocol was approved by the Medical Ethics Committee of the Shaanxi Province Center for Disease Control and Prevention. The ethics approval number is 2017-001-01. Informed consent was obtained from all patients prior to diagnosis. Brucella spp. were isolated from patients’ blood samples following confirmation of their consent. Collection of the animal samples was carried out by professional veterinary technologists in accordance with the ARRIVE guidelines14 and general local regulations and guidelines.

Data source and statistical analysis

Epidemiological data on human brucellosis in Shaanxi Province, China, were obtained from the Disease Prevention and Control Information System of China and the Report Information Management System of Infectious Disease of China. According to related epidemiological indices, case numbers, incidence, time, region, age, and occupation distributions were sampled and downloaded. In parallel, the annual demographics of Shaanxi Province were extracted from the National Bureau of Statistics. The average incidence rates from 2008 to 2020 were defined as the total number of cases/total population × 100,000. The epidemiological data analysed were cleaned and processed with Excel 2016 software (Microsoft, Redmond, WA, USA). The case number, incidence rate, and constituent ratio (rate) were calculated to characterize the epidemiology of human brucellosis in Shaanxi Province. Furthermore, based on the diagnosis time of reported cases, the correlation between the onset time and the diagnosis interval of human brucellosis was explored.

Based on the brucellosis investigation guideline of “Diagnosis for Brucellosis (WS 269-2019)”15, epidemiological survey protocols (demographic characteristics (e.g., agender, age, nationality, live address), epidemiologic indexes (e.g., contact history, onset date, clinical manifestation, occupation, food exposure, and sick contacts), and serial serology assays (Rose-Bengal Plate Test (RBPT), serum tube agglutination test (SAT), and milk ring test (MRT)) were employed to investigate the outbreak of milk-borne brucellosis that occurred in Bin County in 2019 (Supplementary 1). A condensed epidemiological survey of goat farms was conducted, including farm size, breeding, introduction, and abortus situation. Data were analysed using SPSS 25 (Chicago, IL, USA) software, and P values < 0.05 were considered significantly different. The incidence rate and geographic regions of human brucellosis and the distribution profile of strains were displayed using ArcGIS 10.8 Software (ESRI Inc.; Redlands, CA, USA).

Collecting samples for bacteriology testing

All 77 strains in this study were obtained from passive surveillance, all of them from investigation and disposal of human brucellosis epidemic events. There were 19 strains from 1958 to 2008, and their sampling amount was unknown; 16 strains were from human blood, and three were from deer (two from deer blood, and one from the deer abortus foetus). The remaining 58 strains were recovered from 157 blood samples from patients with brucellosis who presented with fever (or sweats, fatigue, and joint muscle pain) and SAT ≥ 1:100+ + during 2014–2020. The 157 samples were sampled from eight different cities (districts), including Yulin (n = 54), Yan’an (n = 37), Weinan (n = 27), ** procedures. B. melitensis 16 M (BM), B. abortus 544 (BA), and B. suis 1330 (BS) were used as standard control strains. Identification reagents and standard products were purchased from the Veterinary Drug Supervision Institute of China. A total of 77 Brucella strains were obtained from patient and deer blood samples from nine cities (districts) in Shaanxi Province. Brucella strains were incubated for 84 h with plate medium and subsequently heat inactivated at 80 °C for 20 min. DNA preparation from the different strains was performed following the recommendations provided in a bacterial genome kit (Qiagen, Hilden, Germany). The extracted DNA was stored at − 20 °C until use.

MLST genoty** of strains

MLST genoty** was performed according to a method described previously12. Briefly, polymerase chain reaction (PCR) amplification was performed in a 40 ml amplification system; 5 ml of purified PCR products was sequenced and assembled, and sequence data of each locus were aligned using MEGA 6.0 software according to published MLST sequences in GenBank (accession numbers AM694191-AM695630)17. B. melitensis 16 M, B. abortus 544, and B. suis 1330 reference strains were used as positive controls. A minimum spanning tree (MST) was constructed by BioNumerics software (unweighted pair group method using arithmetic averages) (version 7.5; Applied Maths, Belgium) based on 477 Brucella strains (77 reported here and 400 from 17 other provinces (including all Chinese strains in PubMLST through December 2020)) (Table S1) collected from the main brucellosis epidemic regions in China.

Results

Human brucellosis epidemic profile during the 1951–2020 period

The human brucellosis epidemic in Shaanxi Province was divided into three stages: an epidemic period during 1951–1982, a control period during 1983–1995, and a re-emergence period during 1996–2020 (Fig. 1). The first human brucellosis case in Shaanxi Province was reported in 1951. Subsequently, cases increased year by year, and the number of reported cases reached a peak in 1970 and began to decline in 1974. From then until 1983, human brucellosis was basically controlled before re-emerging in 1996, and case numbers have continuously increased during the past two decades. A systematic survey of human brucellosis in Shaanxi Province was performed in 2008. A total of 12,215 human brucellosis cases were reported during 2008–2020, corresponding to an annual incidence rate range of 1.55/100,000–4.08/100,000, with an annual average incidence rate of 2.48/100,000. The annual case numbers were 2008, 1145 cases; 2009: 963 cases; 2010: 583 cases; 2011: 596 cases; 2012: 649 cases; 2013: 835 cases; 2014: 1535 cases; 2015: 1267 cases; 2016: 994; 2017: 759 cases; 2018: 681 cases; 2019: 1122; and 2020: 1086 cases (Table 1). From 2002 to 2020, the incidence rate of human brucellosis in this region steadily increased (Fig. 1).

Figure 1
figure 1

Annual reported cases and incidence rate (/100,000 people) of human brucellosis in Shaanxi Province during 1951–2020.

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Table 1 Epidemiological characteristics of human brucellosis cases in Shaanxi, 2008–2020.
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Seasonal and occupational distribution of human brucellosis

Human brucellosis cases were reported every month of the year, and the period with the highest incidence was from March to August, accounting for 69.25% of the total number of cases; the peak incidence was from April to July, accounting for 51.26% of the total number of cases (Table S2).

The Cochran-Armitage test showed that the incidence rate exhibited a trend of first increasing rather than decreasing (χ2 trend 252.497, P < 0.001), and the highest incidence rate was in June. Moreover, 88.54% of the total number of cases were farmers (10,815/12,215), followed by students (261 cases), accounting for 2.14% of the total number of cases (Table 1).

Age and gender distribution of human brucellosis

The 12,215 cases of brucellosis were distributed among various age groups, with a median age of 49 years. The maximum age of onset was 90 years, and the youngest was 19 days. The 50–59-year-old age group had more cases, accounting for 30.24% of the total, followed by 40–49-year-olds with 25.25% of total cases and the 30–39-year-old and 60–69-year-old age groups together accounting for 28.58% of the cases (Table 1). The Cochran-Armitage test showed that with age, the incidence rate exhibited a trend of first increasing than declining (χ2 trend 23,774.560, P < 0.001), and the highest incidence rate was in the 50–59 group. Brucellosis predominantly occurred in males, accounting for 77.30% of the total cases, and the ratio of males to females was 3.40:1. The incidence of brucellosis between men and women was statistically significant (χ2 = 3220.715, P < 0.001) (Table 1).

Regional distribution profile of human brucellosis

During 2008–2012, most human brucellosis cases were reported from Yulin (176.00/100,000), Yan'an (62.22/100,000), and Weinan (51.25/100,000); there were no cases reported in Fugu, Yangling, Shenmu, Hancheng, or Hanzhong, while only a few cases were reported in other regions of Shaanxi Province (Fig. 2). No cases were reported in Yangling City during the periods 2013–2015 and 2017–2018. Cases occurring in all other counties (cities/districts) between 2013 and 2020 were reported. The incidence rate in Yulin was 176.00/100,000, which was higher than that in any other area. The lowest incidence rates were observed in Hanzhong, Ankang, and ** and distribution of the 77 Brucella isolates

All 77 isolated strains were identified as Brucella spp., and the 3 species identified were B. melitensis (n = 74) (11 in B. melitensis bv. 1, 7 in B. melitensis bv. 2, 46 in B. melitensis bv. 3, and 10 in B. melitensis variant), B. abortus bv. 3/6 (n = 2), and B. suis bv. 1 (n = 1). B. melitensis bv. 3 was the dominant species, accounting for 59.74% (46/77) (Table 2). These strains were isolated during 1958–2020. Of the 77 strains isolated, 74 B. melitensis were obtained from human blood, and 3 strains were isolated from deer. All 77 strains were distributed in nine different cities (including 30 counties (districts/cities)), 22 in Yulin, 17 in Weinan, 15 in ** identification of 77 Brucella isolates from Shaanxi Province.

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MLST genoty**

All isolates were further analysed by MLST, and three known STs were identified. B. suis belonged to ST14 (1-6-4-1-4-3-5-2–1; n = 1); B. abortus belonged to ST2 (2-1-2-2-1-3-1-1; n = 2), and all B. melitensis strains were identified as ST8 (3-2-3-2-1-5-3-8-2; n = 74). ST2 was found in 1958 (n = 1) and 2005 (n = 1); ST14 was observed in 1974 (n = 1). ST8 was observed during 1958–2020, including 1958 (n = 2), 1973 (n = 1), 1978 (n = 9), 1979 (n = 1), 2008 (n = 3), 2014 (n = 7), 2015 (n = 8), 2016 (n = 7), 2017 (n = 7), 2018 (n = 12), 2019 (n = 12), and 2020 (n = 5) (Table 3). In the present study, ST8 was predominately a clonal population and was observed in all nine regions and all examined periods (Table 3). MST analysis showed that ST8 from this study was shared with strains from 14 other provinces, including Inner Mongolia, ** of human Brucella isolates from Turkey. J. Clin. Microbiol. 49, 3276–3283. https://doi.org/10.1128/jcm.02538-10 (2011)." href="/article/10.1038/s41598-021-96774-x#ref-CR36" id="ref-link-section-d255335e3277">36. Therefore, strengthening surveillance and control in infected sheep (goats) is warranted in this province. Subsequently, the genetic relatedness and population structure of B. melitensis were investigated using MLST. Although three known STs were identified, ST8 was the dominant clone and was observed in all nine regions and during the entire period examined. Strains from the ST8 clone population are widespread in China in Inner Mongolia, ** of Brucella from Qinghai, China. Infect. Dis. Poverty 5, 26. https://doi.org/10.1186/s40249-016-0123-z (2016)." href="/article/10.1038/s41598-021-96774-x#ref-CR17" id="ref-link-section-d255335e3284">17,19,37. Another study showed that more isolates were clustered around ST8 during the re-emergence stage (1990s–2010s)38. These data suggest potential epidemiological links among these regions. Furthermore, a study of 66 isolates collected from sheep and yaks from Northwest China (Inner Mongolia, **njiang, Qinghai, and Gansu Provinces) during 2015 and 2016 showed that ST8 was the dominant genotype in those B. melitensis isolates, and this Brucella genotype is widespread in Northwest China39. We suggest that further MLVA (multiple-locus variable-number tandem repeat analysis)40 and WGS-SNP (whole-genome sequencing-single-nucleotide polymorphism)41,42 should be applied to investigate the source of infection of human brucellosis in Shaanxi Province. The purpose of such an investigation should target measures of control and prevention of human brucellosis. Moreover, strengthened surveillance of animal brucellosis and banning infected sheep (goat) transfer are optimal control strategies.

Moreover, our study has some limitations. First, the data used were extracted from a passive public health surveillance system that might be influenced by multiple pertinent factors, such as case definitions and laboratory facilities, ability of inspection technicians, and physician awareness of the disease. Second, the geographic distribution of the isolated strains was imbalanced, and strains obtained from animals were uninvolved in our study, which may partly explain the epidemiological features of strains. Third, surveys of the source of infection of human brucellosis are lacking because MLST has low discriminatory power for closely related strains. Therefore, further molecular epidemiology characterized using MLVA and WGS-SNPs to strains is necessary.