Child ; Humans ; Liver Neoplasms/pathology* ; World Health Organization

Adult ; Humans ; Stomach ; Histiocytosis, Langerhans-Cell/diagnosis*

Humans ; Kidney/pathology*

Male ; Humans ; Spermatic Cord ; Mesothelioma ; Mesothelioma, Malignant

Humans ; Glomerulonephritis, Membranoproliferative/pathology* ; Fibronectins

Child ; Humans ; Neoplasms/genetics* ; World Health Organization

Objective: To explore the application of manual screening collaborated with the Artificial Intelligence TPS-Assisted Cytologic Screening System in urinary exfoliative cytology and its clinical values. Methods: A total of 3 033 urine exfoliated cytology samples were collected at the Henan People's Hospital, Capital Medical University, Beijing, China. Liquid-based thin-layer cytology was prepared. The slides were manually read under the microscope and digitally presented using a scanner. The intelligent identification and analysis were carried out using an artificial intelligence TPS assisted screening system. The Paris Report Classification System of Urinary Exfoliated Cytology 2022 was used as the evaluation standard. Atypical urothelial cells and even higher grade lesions were considered as positive when evaluating the recognition sensitivity, specificity, and diagnostic accuracy of artificial intelligence-assisted screening systems and human-machine collaborative cytologic screening methods in urine exfoliative cytology. Among the collected cases, there were also 1 100 pathological tissue controls. Results: The accuracy, sensitivity and specificity of the AI-assisted cytologic screening system were 77.18%, 90.79% and 69.49%; those of human-machine coordination method were 92.89%, 99.63% and 89.09%, respectively. Compared with the histopathological results, the accuracy, sensitivity and specificity of manual reading were 79.82%, 74.20% and 95.80%, respectively, while those of AI-assisted cytologic screening system were 93.45%, 93.73% and 92.66%, respectively. The accuracy, sensitivity and specificity of human-machine coordination method were 95.36%, 95.21% and 95.80%, respectively. Both cytological and histological controls showed that human-machine coordination review method had higher diagnostic accuracy and sensitivity, and lower false negative rates. Conclusions: The artificial intelligence TPS assisted cytologic screening system has achieved acceptable accuracy in urine exfoliation cytologic screening. The combination of manual screening and artificial intelligence TPS assisted screening system can effectively improve the sensitivity and accuracy of cytologic screening and reduce the risk of misdiagnosis.
Humans ; Artificial Intelligence ; Urothelium/pathology* ; Cytodiagnosis ; Epithelial Cells/pathology* ; Sensitivity and Specificity ; Urologic Neoplasms/urine*

OBJECTIVE: To analyze the distribution characteristics of emerging and reemerging Oncomelania hupensis snails after the criteria for transmission control of schistosomiasis were achieved in China, so as to provide insights into assessment of schistosomiasis transmission risk and formulation of snail control strategies during the elimination phase. METHODS: O. hupensis survey data in China from 2015 to 2021 were collected from the National Schistosomiasis Pevention and Control Information Management System, and the distribution characteristics of emerging and reemerging O. hupensis snails were descriptively analyzed. RESULTS: Emerging and reemerging O. hupensis snails were identified in China each year from 2015 to 2021, with relatively larger areas with emerging and reemerging O. hupensis snail habitats in 2016 and 2021, and relatively higher numbers of counties (districts) where emerging and reemerging O. hupensis snails were detected in 2016 and 2021. A total of 4 586.30 hm² of emerging O. hupensis snail habitats were found in 10 schistosomiasis-endemic provinces of China (except Fujian and Yunnan Provinces) from 2015 to 2021, with 96.80% in Anhui, Hunan and Hubei provinces, where marshland and lake endemic foci were predominant. A total of 21 023.90 hm² of reemerging O. hupensis snail habitats were found in 12 schistosomiasis-endemic provinces of China from 2015 to 2021, with 97.67% in six provinces of Hubei, Sichuan, Jiangxi, Jiangsu, Yunnan and Anhui, where marshland and lake and hilly endemic regions were predominant. Emerging snail habitats were found in 15.08% of all schistosomiasisendemic counties (districts) in China from 2015 to 2021, and 78.75% of all emerging snail habitats were identified in 11 schistosomiasis-endemic counties (districts), with the largest area of emerging snail habitats found in Lixian County, Hunan Province (645.00 hm²). Reemerging snail habitats were found in 47.67% of all schistosomiasis-endemic counties (districts) in China from 2015 to 2021, and 43.29% of all reemerging snail habitats were identified in 11 schistosomiasis-endemic counties (districts), with the largest area of reemerging snail habitats found in Weishan Li and Hui Autonomous County of Hunan Province (1 579.70 hm²). CONCLUSIONS Emerging and reemerging O. hupensis snails were identified in China each year from 2015 to 2021, with much larger areas of reemerging snail habitats than emerging snail habitats, and larger numbers of schistosomiasis-endemic provinces and counties (districts) with reemerging snails were found that those of provinces and counties (districts) with emerging snails. Specific snail control interventions are required tailored to the causes of emerging and reemerging snail habitats. Both emergence and reemergence of O. hupensis snails should be paid attention to in marshland and lake endemic areas, and Guangxi Zhuang Autonomous Region, Shanghai Municipality and Zhejiang Province where schistosomiasis had been eliminated, and reemergence of O. hupensis snails should be given a high priority in hilly areas. In addition, monitoring of O. hupensis snails should be reinforced in snail-free areas after flooding.
Humans ; China/epidemiology* ; Schistosomiasis/prevention & control* ; Cities ; Ecosystem ; Lakes

Disease-mediated alterations to drug disposition constitute a significant source of adverse drug reactions. Cisplatin (CDDP) elicits nephrotoxicity due to exposure in proximal tubule cells during renal secretion. Alterations to renal drug transporter expression have been discovered during nonalcoholic steatohepatitis (NASH), however, associated changes to substrate toxicity is unknown. To test this, a methionine- and choline-deficient diet-induced rat model was used to evaluate NASH-associated changes to CDDP pharmacokinetics, transporter expression, and toxicity. NASH rats administered CDDP (6 mg/kg, i.p.) displayed 20% less nephrotoxicity than healthy rats. Likewise, CDDP renal clearance decreased in NASH rats from 7.39 to 3.83 mL/min, renal secretion decreased from 6.23 to 2.80 mL/min, and renal CDDP accumulation decreased by 15%, relative to healthy rats. Renal copper transporter-1 expression decreased, and organic cation transporter-2 and ATPase copper transporting protein-7b increased slightly, reducing CDDP secretion. Hepatic CDDP accumulation increased 250% in NASH rats relative to healthy rats. Hepatic organic cation transporter-1 induction and multidrug and toxin extrusion protein-1 and multidrug resistance-associated protein-4 reduction may contribute to hepatic CDDP sequestration in NASH rats, although no drug-related toxicity was observed. These data provide a link between NASH-induced hepatic and renal transporter expression changes and CDDP renal clearance, which may alter nephrotoxicity.

To understand the hepatitis C virus (HCV) genotype distribution characteristics in Xinjiang region. 6462 cases with chronic HCV infection that were treated at the First Affiliated Hospital of Xinjiang Medical University from January 2013 to September 2018 were selected, and repeated testers were excluded. A total of 4773 cases with HCV genotypes were efficiently included. PCR-reverse dot hybridization method was used to retrospectively analyze the genotypes distribution. (2) test or F-test was used for intergroup comparison. < 0.05 was considered as statistically significant. Five genotypes were detected in 4 773 samples: genotype 1b 2928 cases (61.3%), genotype 2a 1241 cases (26%), and genotype 3a 375 cases (7.9%), genotype 3b 205 cases (4.3%), and genotype 6a 24 cases (0.5%). Patients were 48.14 ± 13.93 years old. Genotype 1b was mainly detected in all age groups. There were 2 965 cases of Han ethnicity and 1808 cases of 19 ethnic minorities, of which 1798 cases (60.6%) and 1130 cases (62.5%) were genotype 1b, and 235 cases (7.9%) and 345 cases (19.1%) were genotype 3, respectively. Among the ethnic minorities, Uyghur were the predominant, and genotype 6a could be detected; however, no other ethnic groups had detected genotype 6a. There were 704 Uyghur of genotype 1b (62.1%), 269 Uyghur of genotype 3 (23.7%), and 235 Hans of genotype 3 (7.9%). There were 2 413 males and 2 360 females, of which 1 418 males (58.8%), and 1 510 females (64%) were of genotype 1b, and 424 males (17.6%), and 156 females (6.6%) were of genotype 3. There was a statistically significant difference between the gender of patients with genotype 1b and non-genotype 1b ( < 0.05). There was a statistically significant difference in the detection rate of genotype 2a, 3a, 3b, 6a between Han and ethnic minority patients ( < 0.05). HCV genotypes distribution in Xinjiang region is diverse, and is mainly type 1b. An ethnic minority has higher proportion of HCV genotype 3 than that of Han ethnicity. HCV genotypes detection in Xinjiang region enriches the distribution characteristics of HCV genotypes and provides a basis for individualizing treatment for patients in China.
Adult ; China ; Ethnic Groups ; Female ; Genotype ; Hepacivirus ; genetics ; Hepatitis C ; Humans ; Male ; Middle Aged ; Minority Groups ; Retrospective Studies