Objective To evaluate the effectiveness of the integrated schistosomiasis control programme in Wuhan City from 2005 to 2023, so as to provide insights into precision control and elimination of schistosomiasis. Methods The integrated measures for schistosomiasis control implemented by health, agriculture, water resources, and forestry departments of Wuhan City, and the epidemiological data of schistosomiasis in Wuhan City were collected from 2005 to 2023, and the prevalence of human schistosomiasis, prevalence of Schistosoma japonicum infections in humans and bovines, areas of S. japonicum-infected snail habitats, areas of snail habitats in inner embankments, and actual areas of snail habitats were retrieved. In addition, the trends in prevalence of schistosomiasis in humans and livestock and snail status were evaluated in Wuhan City from 2005 to 2023 using Mann-Kendall test and a Joinpoint regression model. Results Mann-Kendall test revealed a tendency towards a decline in the prevalence of human schistosomiasis (Z = -4.41, P < 0.01), prevalence of S. japonicum infections in humans (Z = -4.89, P < 0.01) and bovines (Z = -4.50, P < 0.01), areas of S. japonicum-infected snail habitats (Z = -3.91, P < 0.01), areas of snail habitats in inner embankments (Z = -2.28, P = 0.02), and actual areas of snail habitats (Z = -5.95, P < 0.01) in Wuhan City from 2005 to 2023. Joinpoint regression analysis showed an average annual reduction of 8.58% in the prevalence of human schistosomiasis in Wuhan City from 2005 to 2023 [average annual percent change (AAPC) = -8.58%, 95% confidence interval (CI): (-10.02%, -6.65%), P < 0.01], with two joinpoints in 2013 and 2016, respectively, and the tendency towards a decline showed statistical significance during the period from 2013 through 2016 [annual percent change (APC) = -34.41%, 95% CI: (-40.36%, -20.01%), P < 0.01]. The prevalence of S. japonicum human infections appeared an average annual reduction of 51.91% in Wuhan City from 2005 to 2023 [AAPC = -51.91%, 95% CI: (-58.12%, -44.25%), P < 0.01], with two joinpoints in 2014 and 2017, respectively, and the tendency towards a decline showed statistical significance during the period from 2014 through 2017 [APC = -98.17%, 95% CI: (-99.17%, -90.87%), P < 0.01]. The prevalence of S. japonicum infections in bovines appeared an average annual reduction of 53.12% in Wuhan City from 2005 to 2023 [AAPC = -53.12%, 95% CI: (-59.65%, -42.44%), P < 0.01], with two joinpoints in 2011 and 2014, respectively, and the tendency towards a decline showed statistical significance during the period from 2014 through 2017 [APC = -98.63%, 95% CI: (-99.44%, -90.93%), P < 0.01]. The areas of S. japonicum-infected snail habitats appeared an average annual reduction of 47.09% in Wuhan City from 2005 to 2023 [AAPC = -47.09%, 95% CI: (-52.92%, -38.26%), P < 0.01], with two joinpoints in 2011 and 2014, respectively, and the tendency towards a decline showed statistical significance during the period from 2011 through 2014 [APC = -97.27%, 95% CI: (-98.65%, -88.06%), P < 0.01]. The areas of snail habitats in inner embankments appeared an average annual reduction of 4.45% in Wuhan City from 2005 to 2023 [AAPC = -4.45%, 95% CI: (-5.18%, -3.82%), P < 0.01], with three joinpoints in 2011, 2015 and 2018, respectively, and statistical significance was seen in the tendency towards a decline during the period from 2005 through 2011 [APC = -16.38%, 95% CI: (-20.15%, -14.25%), P < 0.01]. In addition, the actual areas of snail habitats appeared an average annual reduction of 2.65% in Wuhan City from 2005 to 2023 [AAPC = -2.65%, 95% CI: (-2.89%, -2.40%), P < 0.01], with a joinpoint in 2013, and the tendency towards a decline showed statistical significance during the period from 2013 through 2023 [APC = -4.06%, 95% CI: (-4.66%, -3.58%), P < 0.01]. Conclusions The integrated schistosomiasis control programme achieved significant effectiveness in Wuhan City from 2005 to 2023, with a tendency towards a decline in morbidity due to schistosomiasis in humans and livestock and snail status. The integrated schistosomiasis control strategy with emphasis on management of the source of S. japonicum infections should continue to be implemented to consolidate the schistosomiasis control achievements and achieve the goal of schistosomiasis elimination in the city.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

Objectives:To evaluate the tricuspid valve(TV)geometric remodeling in patients with idiopathic pulmonary arterial hypertension(IPAH)by three-dimensional transthoracic echocardiography. Methods:Two-dimensional and three-dimensional transthoracic echocardiography were performed in 30 IPAH patients and 15 healthy controls,and the geometry parameters of TV were obtained by four-dimensional auto tricuspid valve quantitative(4D Auto-TVQ)in the right ventricular-focused apical view.Pulmonary arterial hypertension was determined by right heart catheterization within 48 hours of echocardiography. Results:The 4-chamber diameter,tricuspid annular(TA)perimeter,TA area,maximal tenting height,coaptation point height and tenting volume were larger in IPAH patients than those in healthy controls(all P＜0.05),2-chamber diameter was similar between two groups.In IPAH group,maximal tenting height and coaptation point height were moderately correlated with right ventricular end-diastolic volume(r=0.710,r=0.515,both P＜0.05),while TA perimeter,4-chamber diameter and TA area were moderately correlated with right atrial end-systolic volume(r=0.712,r=0.558,r=0.545,all P＜0.05). Conclusions:IPAH patients have larger maximal tenting height,coaptation point height and tenting volume,TA enlargement is mainly visible in 4-chamber diameter.TV tenting height is associated with right ventricular volume,but TA size is associated with right atrial volume in IPAH patients.

Objective To investigate the influencing factors of vancomycin in the area under curve for 24 h(AUC0-24h)in patients after orthopedic surgery,and to predictive and analyze a good pharmacokinetic model for AUC0-24h Methods Patients who underwent orthopedic surgery and used vancomycin in The Sixth Affiliated Hospital of Xinjiang Medical University from January 2018 to December 2022 were included,and the basic information,the medication,the blood and biochemical indexes of the patients were collected to analyze the factors affecting postoperative vancomycin AUC0-24h in orthopedic surgery.The AUC0-24h was calculated using the first-level pharmacokinetic formula,the JavaPK? for Desktop(JPKD)and the vancomycin daily dose elimination rate formula.Results 91 patients were finally included,and the cystatin C(OR=189.168,P=0.005)and the single dose(OR=19.160,P＜0.001)were independent protective factors for vancomycin AUC0 24 h in postoperative orthopedic patients,and the retinol binding protein was an independent risk factor for vancomycin AUC0-24h(OR=0.910,P＜0.05).By predicting and analyzing the model of vancomycin AUC0 24h in postoperative orthopedic patients,the absolute percentage error of both JPKD software and vancomycin daily dose elimination rate formula were lower than 30％.The intraclass correlation efficient between the AUC0 24h of the JPKD software and vancomycin daily dose elimination rate formula,and the AUC0 24h of the first-level pharmacokinetic formula were 0.781 and 0.524,respectively.Conclusion Cystatin C is an important factor influencing vancomycin AUC0-24h in postoperative orthopedic patients,and JPKD software is more suitable for predicting vancomycin AUC0-24h after orthopedic surgery than the vancomycin daily dose elimination rate formula method.

Objective: To explore the balance of peripheral blood T helper 17 cells/regulatory T cell (Th17/Treg) ratio and the polarization ratio of M1 and M2 macrophages in lower extremity arteriosclerosis obliterans (ASO). Methods: A rat model of lower extremity ASO was established, and blood samples from patients with lower extremity ASO before and after surgery were obtained. ELISA was used to detect interleukin 6 (IL-6), IL-10, and IL-17. Real-time RCR and Western blot analyses were used to detect Foxp3, IL-6, IL-10, and IL-17 expression. Moreover, flow cytometry was applied to detect the Th17/Treg ratio and M1/M2 ratio. Results: Compared with the control group, the iliac artery wall of ASO rats showed significant hyperplasia, and the concentrations of cholesterol and triglyceride were significantly increased (P<0.01), indicating the successful establishment of ASO. Moreover, the levels of IL-6 and IL-17 in ASO rats were pronouncedly increased (P<0.05), while the IL-10 level was significantly decreased (P<0.05). In addition to increased IL-6 and IL-17 levels, the mRNA and protein levels of Foxp3 and IL-10 in ASO rats were significantly decreased compared with the control group. The Th17/Treg and M1/M2 ratios in the ASO group were markedly increased (P<0.05). These alternations were also observed in ASO patients. After endovascular surgery (such as percutaneous transluminal angioplasty and arterial stenting), all these changes were significantly improved (P<0.05). Conclusions: The Th17/Treg and M1/M2 ratios were significantly increased in ASO, and surgery can effectively improve the balance of Th17/Treg, and reduce the ratio of M1/M2, and the expression of inflammatory factors.

Objective To analyze the trends in Oncomelania hupensis distribution in Wuhan City, Hubei Province from 2003 to 2022, so as to provide insights into precision schistosomiasis control. Methods Data pertaining to O. hupensis snail survey in Wuhan City from 2003 to 2022 were collected. The trends in the proportion of areas with snail habitats, actual area with snail habitats, mean density of living snails and prevalence of Schistosoma japonicum infection in snails were evaluated in schistosomiasis-endemic areas of Wuhan City from 2003 to 2022 with the slope of trend curve (β), annual percent change (APC) and average annual percent change (AAPC) using a Joinpoint regression model. Results During the period from 2003 through 2022, there were two turning points for the proportion of areas with snail habitats in Wuhan City in 2005 and 2015, with a rise during the period from 2003 to 2005 (β₁ = 5.93, t = 1.280, P > 0.05), a decline from 2005 to 2015 (β₂ = −0.88, t = −2.074, P > 0.05) and a rise from 2015 to 2022 (β₃ = 1.46, t = −2.356, P < 0.05). During the period from 2003 through 2022, there were two turning points for the proportion of areas with snail habitats in islet endemic areas of Wuhan City in 2006 and 2015, with no significant differences in the trends from 2003 to 2006 (β₁ = 4.64, t = 1.888, P > 0.05) or from 2006 to 2015 (β₂ = −1.45, t = −2.143, P > 0.05), and with a tendency towards a rise from 2015 to 2022 (β₃ = 2.04, t = −3.100, P < 0.05). During the period from 2003 through 2022, there were two turning points for the proportion of areas with snail habitats in inner embankment endemic areas of Wuhan City in 2012 and 2020, with a tendency towards a decline from 2003 to 2012 (β₁ = −0.39, t = −4.608, P < 0.05) and with no significant differences in the trends from 2012 to 2020 (β₂ = 0.03, t = 0.245, P > 0.05) and from 2020 to 2022 (β₃ = 1.38, t = 1.479, P > 0.05). During the period from 2003 to 2022, the actual area with snail habitats all appeared a tendency towards a decline in Wuhan City, and in islet and inner embankment endemic areas of Wuhan City from 2003 to 2022 (AAPC = −2.39%, −5.75% and −2.35%, all P values < 0.05). The mean density of living snails reduced from 0.087 snails/0.1 m² in 2003 to 0.027 snails/0.1 m² in 2022 in Wuhan City, with a significant difference in the tendency towards the decline (APC = AAPC = −11.47%, P < 0.05). The annual mean decline rate of the mean density of living snails was 17.36% in outside embankment endemic areas of Wuhan City from 2003 to 2022 (APC = AAPC = −17.36%, P < 0.05), and there was no significant difference in the trends in the mean density of living snails in islet endemic areas of Wuhan City from 2003 to 2022 (APC = AAPC = −0.97%, P > 0.05). In addition, the prevalence of S. japonicum infection in snails appeared a tendency towards a decline in Wuhan City from 2003 to 2022 (APC = AAPC = −12.45%, P < 0.05). Conclusions The proportion of areas with snail habitats, actual area with snail habitats, mean density of living snails and prevalence of S. japonicum infection in snails all appeared a tendency towards a decline in Wuhan City from 2003 to 2022. Intensified snail control, modification of snail habitats, shrinking of areas with snails and implementation of grazing prohibition in snail-infested settings are required, in order to facilitate the progress towards schistosomiasis elimination in Wuhan City.

Ubiquitin-specific protease 1 (USP1) is one of the deubiquitinating enzymes which has received increasing attention in cancer research. USP1 is overexpressed in many types of cancer cells, and has been found to control tumorigenesis and progression by regulating various proteins associated with tumors, such as SIK2, GSK-3β, and Bcl-2. Knockdown or pharmacological inhibition of USP1 can effectively suppress tumors and is also expected to address the issues of cisplatin and poly ADP-ribose polymerase (PARP) inhibitor resistance. This review describes the structure and function of USP1 and the relationship between USP1 targets and tumors and systematically summarizes the structure-activity relationships of small molecule USP1 inhibitors disclosed from 2013 to 2023. Finally, this review discusses the challenges and opportunities in developing small molecule USP1 inhibitors.

BACKGROUND:It has been hypothesized that PANoptosis may be involved in the pathologic process of osteoporosis,but there have been no studies addressing the mechanisms of PANoptosis genes in osteoporosis. OBJECTIVE:To analyze the biological mechanism of PANoptosis regulators in the occurrence and development of osteoporosis. METHODS:The GSE56815 dataset was obtained from the Gene Expression Omnibus database and PANoptosis genes were extracted for differential analysis.The key genes of PANoptosis were screened by random forest tree model to construct a disease risk prediction model.Consensus clustering algorithm,single sample genome enrichment analysis and immune infiltration analysis were used to explore the differences between different PANoptosis molecular subtypes.Herbal drugs that regulate the key genes of PANoptosis were predicted through Coremine medical database,a medical ontology information retrieval platform. RESULTS AND CONCLUSION:Based on the four PANoptosis key genes(CASP1,CASP10,MEFV,and TNF),the diagnostic markers of osteoporosis were determined,and the risk prediction model was constructed and verified.Osteoporosis was divided into two different PANoptosis subtypes(clusters A,B and gene clusters A,B),and the PANoptosis scores of cluster B and gene cluster B were higher than those of cluster A and gene cluster A,respectively.Traditional Chinese drugs such as ginseng which can regulate the key genes of PANoptosis were predicted by the Coremine medical database.

Objective　To analyze and visualize the epidemic changes of schistosomiasis in Wuhan from 2013 to 2022 based on a geographical information system (GIS), providing references for further schistosomiasis control activities. Methods　According to the historical data of the annual reports of schistosomiasis screening and street-level vector map of Wuhan City from 2013 to 2022, a spatial database of epidemic information at the street level was established. The Joinpoint regression model was utilized to analyze the trend of phased changes in blood positivity rate for schistosomiasis. ArcMap 10.8 was employed for the spatial visualization of the positive rate of serological tests for schistosomiasis among the screened population in the endemic areas of Wuhan over the past decade, as well as conducting hot spot analysis (Getis-Ord Gi*) to explore the spatial clustering relationship and spatiotemporal trends. Heatmaps were generated to reflect the changes in the positive rate of blood tests for schistosomiasis over a decade in various streets, and the areas were classified by the ward’s method of hierarchical clustering using the sum of squared deviations. Results　Over the past decade, the overall annual positive rate of schistosomiasis screening in Wuhan declined from 2.23% in 2013 to 0.47% in 2022, showing a general downward trend. The Joinpoint regression model analysis of the blood positive rate indicated the presence of one connection point in 2015; from 2013 to 2015, the annual percent change (APC) of the positive rate was 2.17%, showing an upward trend (P>0.05); from 2015 to 2022, the APC was -23.34%, indicating a downward trend (P<0.05). The map of positive street-level schistosomiasis screening rates for 2013-2022 shows that the positive rate count on the streets of Caidian District and Hannan District in southwestern Wuhan and Huashan Street on the east side, had a significant decrease over the ten years, while the rate in the streets under the jurisdiction of Dongxihu District in the west showed an increase. The hot spot analysis graph revealed that hot spots of the positive rate in Wuhan shifted from the southwest to the west beginning in 2018. The heatmap indicated the largest disparity in trend changes, with the most noteworthy decline in streets under Caidian District and an increasing trend in the streets under Dongxihu District. Conclusions　The overall epidemic situation of schistosomiasis in Wuhan is on a downtrend, although the positive rate of blood tests has increased in some areas. This has been attributed to a reduction in the total number of people participating in the blood tests and the slow decrease of antibodies in certain patients who were repeatedly sampled for testing. It is important to further strengthen the construction of monitoring capabilities, improve the sensitivity of monitoring systems, identify potential risks promptly, and handle them properly.