目的 了解内蒙古乌审旗地区牛、羊片形吸虫感染情况。方法 2022年8月至2023年3月在乌审旗嘎鲁图、苏力德苏木、乌兰陶勒盖、乌审召和图克镇采集牛、羊血样和粪样，间接ELISA检测血清抗肝片形吸虫抗体，随机抽取部分血清抗体检测样品对应的牛、羊粪样，采用虫卵沉淀法定性检查虫卵，对血清抗体检测和粪样虫卵检查结果进行一致性检验。2023年4月，在嘎鲁图、苏力德苏木和图克镇因感染片形吸虫死亡牛、羊尸首的肝脏和胆汁中采集片形吸虫成虫和虫卵，提取虫体和虫卵DNA，PCR扩增片形吸虫核糖体内转录间隔区2（ITS2）并测序，在NCBI数据库中进行BLAST比对分析，采用邻接法构建系统进化树。采用SPSS 25.0软件进行统计学分析，不同地区的阳性率的比较采用χ²检验。结果 共采集825份牛、羊血样，其中295份血清肝片形吸虫抗体阳性，总阳性率为35.8%（295/825），羊、牛阳性率分别为34.7%（227/655）、40.0%（68/170）。羊血清阳性率以苏力德苏木最高[81.8%（45/55）]，乌审召镇最低[22.0%（27/123）]，不同地区血清抗体阳性率差异有统计学意义（χ² = 73.93，P < 0.05）。牛血清抗体阳性率以嘎鲁图镇最高[65.1%（28/43）]，图克镇最低[19.2%（5/26）]，不同地区血清抗体阳性率差异有统计学意义（χ² = 21.50，P < 0.05）。共抽取88份牛、羊粪样（羊粪样59份，牛粪样29份）检查，其中1份羊粪样、5份牛粪样检出肝片形吸虫虫卵，4份牛粪样检出同盘吸虫虫卵。88份牛、羊血样、粪样样品中，血清肝片形吸虫抗体的阳性率为29.5%（26/88），粪样肝片形吸虫卵的阳性率为6.8%（6/88），kappa值为0.086，两种方法的一致性为微弱。从2头牛体内收集到成虫和虫卵，从2头羊体内收集到成虫。共取5条成虫和2份虫卵提取DNA，PCR扩增共获得7条约550 bp的条带。BLAST比对分析结果显示，4条序列与来自中国的巨片形吸虫ITS2（GenBank：HQ700438）的序列一致性分别96.62%、95.91%、95.74%和92.97%，鉴定为巨片形吸虫；3条序列与来自中国的肝片形吸虫ITS2（GenBank：JF496717）的序列一致性分别为95.69%、99.80%和99.23%，鉴定为肝片形吸虫。系统进化树分析结果显示，本研究鉴定的肝片形吸虫与来自中国（GenBank： JF496717）、肯尼亚（GenBank：MZ396926）、埃及（GenBank：MW620063）的肝片形吸虫聚在同一分支上；巨片形吸虫与来自中国（GenBank：HQ700438）和印度（GenBank：OL691113）的巨片形吸虫聚在同一分支上。结论 内蒙古乌审旗地区牛、羊均存在肝片形吸虫和巨片形吸虫感染，片形吸虫的感染率较高。

Objective To investigate the endemic status of Fasciola spp. infection in cattle and sheep in Wushen Banner of Inner Mongolia. Methods From August 2022 to March 2023, blood and fecal samples from cattle and sheep were collected from Galutu, Sulide Sumu, Wulantaolegai, Wushenzhao and Tuke towns in Wushen Banner to detect serum Fasciola hepatica antibodies by using indirect ELISA. Cattle and sheep feces samples corresponding to some serum antibody detection samples were randomly selected, in which the parasite eggs were qualitatively examined by egg sedimentation method. The consistency test was performed for the findings from serum and fecal examination. In April 2023, Fasciola spp. adult worms and eggs were collected from the carcasses livers and bile of cattle and sheep that died of Fasciola spp. infection in Galutu, Sulidesumu and Tuke towns. The DNA of the worms and eggs was extracted to amplify ribosomal transcriptional spacer sequence 2 (ITS2) by PCR and sequenced. Sequence alignment was then performed by BLAST with NCBI database. The phylogenetic tree was constructed by the neighbour-joining method. SPSS 25.0 software was used for statistical analysis, and the chi-square test was used to compare the positive rates in different regions. Results A total of 825 serum samples were collected from cattle and sheep, in which 295 samples were positive for serological antibodies, with a total sero-positive rate of 35.8% (295/835), of which the sero-positive rates of sheep and cattle were 34.7% (227/655) and 40.0% (68/170), respectively. The sero-positive rate of sheep was the highest at 81.8% (45/55) in Sulide Sumu, and the lowest at 22.0% (27/123) in Wushenzhao. There was a significant difference in the sero-positive rate of antibodies in different regions (χ² = 73.93, P < 0.05). The sero-positive in bovine was the highest at 65.1% (28/43) in Garutu and lowest at 19.2% (5/26) in Tuke. There was a significant difference in the sero-positive rate of antibodies in different regions (χ² = 21.50, P < 0.05). A total of 88 fecal samples (59 sheep fecal samples and 29 bovine fecal samples) were detected, among which 1 sheep and 5 bovine fecal samples were positive for F. hepatica eggs, and 4 bovine fecal samples were positive for Paramphistomum eggs. Among the 88 samples, the positive rate of anti-F. hepatica antibody was 29.5% (26/88), and the positive rate of F. hepatica eggs was 6.8% (6/88). The kappa value was 0.086, indicating weak consistency between the two methods. Adult worms and eggs were collected from 2 dead cattle and adult worms from 2 dead sheep. The DNA were extracted from 5 adult worms and 2 eggs samples. A total of 7 bands of approximately 550 bp were obtained by PCR amplification for sequencing. BLAST alignment analysis showed that the identities of 4 obtained sequences were 92.97%, 96.62%, 95.74% and 95.91% with the ITS2 sequences (GenBank: HQ700438) of F. gigantica from China, respectively, and identified as F. gigantica. The identities of the other three obtained sequences were 95.69%, 99.80% and 99.23% with the ITS2 sequences (GenBank: JF496717) of F. hepatica from China, respectively, and identified as F. hepatica. The phylogenetic tree showed that the F. hepatica identified in this study clustered on the same branch with the F. hepatica from China (GenBank: JF496717), Kenya (GenBank: MZ396926) and Egypt (GenBank: MW620063). The F. gigantica identified in this study clustered in the same branch with the F. gigantica from China (GenBank: HQ700438) and India （GenBank: OL691113）. Conclusion F. hepatica and F. gigantica infections are present in both cattle and sheep in Wushenqi area of Inner Mongolia, and the infection rate of Fasciola spp. was relatively high.