Objective To investigate the protective effects and mechanisms of sulodexide on renal fibrosis induced by prolonged warm ischemia. Methods An in vivo ischemia-reperfusion injury (IRI) model was established in rats, which were randomly divided into Sham group, IRI 60 min group (IRI group), and IRI 60 min + sulodexide group (IRI+SDX group), with 20 rats in each group. Pathological examination was used to evaluate renal tissue injury and fibrosis levels in each group. Immunohistochemistry was performed to detect the expression levels of kidney injury molecule (KIM)-1, intercellular adhesion molecule (ICAM)-1, von Willebrand factor (vWF), transforming growth factor (TGF)-β, α-smooth muscle actin (SMA), and type I collagen (COL-1). Immunofluorescence staining was used to detect CD31 expression. Real-time quantitative polymerase chain reaction was employed to measure the expression of KIM-1, ICAM-1, tumor necrosis factor (TNF)-α, interleukin (IL)-1β, and IL-6 in renal tissues. Transmission electron microscopy was used to observe the structure of the renal glycocalyx. Evans blue dye was injected to assess renal vascular permeability. Rat survival was recorded, and serum levels of syndecan (SDC)-1, heparan sulfate (HS) and serum creatinine were measured. An ex vivo perfusion model was also established, with rats randomly assigned to either the hypothermic oxygenated machine perfusion (HOPE) group or the HOPE+SDX group (five rats per group). Perfusion parameters were recorded after 2 hours of ex vivo perfusion. Results One day after reperfusion, compared with the Sham group, the IRI group exhibited more severe renal tissue injury, higher tubular injury scores, increased expression of KIM-1, ICAM-1 and vWF, decreased CD31 expression, elevated serum levels of SDC-1 and HS, increased vascular permeability, and higher expression of TNF-α, IL-1β and IL-6. Compared with the IRI group, the IRI+SDX group showed reduced renal tissue injury, lower tubular injury scores, decreased expression of KIM-1, ICAM-1 and vWF, increased CD31 expression, lower serum levels of SDC-1 and HS, decreased vascular permeability, and reduced expression of TNF-α, IL-1β and IL-6 (all P < 0.05). Ten days after reperfusion, renal tissue injury was further alleviated in the IRI+SDX group. Twenty-five days after reperfusion, the IRI+SDX group exhibited decreased expression of TGF-β, α-SMA, and COL-1, as well as reduced collagen deposition area (all P < 0.05). Compared with the HOPE group, the HOPE+SDX group showed increased renal perfusion flow and decreased intrarenal vascular resistance (both P < 0.01). Conclusions Sulodexide may alleviates renal IRI and fibrosis caused by prolonged warm ischemia by inhibiting inflammatory responses and protecting vascular endothelial glycocalyx.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

ObjectiveTo systematically evaluate the public health governance capacity of 40 cities in Jiangsu, Zhejiang, and Anhui Provinces, providing a scientific evaluation basis for building a "Healthy Yangtze River Delta". MethodsA comprehensive collection of policy documents, public information reports, and research literature related to public health governance capacity in Jiangsu, Zhejiang, and Anhui Provinces was conducted, totaling 6 920 policy documents, 1 720 information reports, and 1 200 literature pieces. Based on the evaluation standards for an appropriate public health system established by the research team, the basic status of public health governance capacity was assessed to identify the strengths and weaknesses of the 40 cities. ResultsIn 2022, the public health governance capacity score for the 40 cities in Jiangsu, Zhejiang, and Anhui Provinces was (562.5±38.0) points. In terms of specific areas, the emergency response field received the highest score of (791.4±49.7) points, while the chronic disease prevention and control field received the lowest score of (368.2±29.6) points. The Jiangsu-Zhejiang-Anhui region has largely achieved the strategic priority of health, gradually improved public health legal regulations, and established a basic organizational framework with a solid foundation for information and data infrastructure. However, challenges still need to be addressed, such as unstable government funding for public health, unclear departmental responsibilities, and barriers to information interoperability. ConclusionThe public health governance capacity of the 40 cities in Jiangsu, Zhejiang, and Anhui Province has been at a moderate level, but disparities have still existed across regions and fields. In the future, while continuing to deepen existing advantages, it is essential to accurately identify the causes of problems, establish a long-term and stable investment mechanism, enhance information connectivity mechanisms, further clarify departmental responsibilities, and promote the achievement of the "Healthy Yangtze River Delta" goal.

Objective To investigate the eye lens and hand dose levels of interventional radiology workers in Baoji City, China, and to provide data reference for radiation protection. Methods In two general hospitals, the eye lens and finger doses of 121 interventional radiology workers were monitored between 2021 and 2023. The average annual dose levels and dose distribution were analyzed based on years, job positions, surgical sites, and duties during surgery. Results The average annual dose to the eye lens was 3.36 mSv, with the highest dose of 16.36 mSv. The average annual dose to the fingers was 3.38 mSv, with the highest dose of 17.72 mSv. The average annual dose to the eye lens and fingers decreased from 2021 to 2023. The average annual dose to the eye lens of the interventional surgeons was higher than those of the technicians and nurses, while the average annual dose to the fingers of the interventional surgeons was higher than that of the technicians. The average annual doses to the eye lens and fingers of the first operator were similar to those of the second operator, but both were higher than other personnel involved in the interventional surgery, and the differences were statistically significant (all P < 0.05). There were linear regression relationships between the annual doses to the eye lens and fingers and the effective whole-body dose of the interventional radiology workers. A paired test was conducted on the annual dose to the eye lens and fingers of the interventional workers for different surgical sites. The cardiovascular and peripheral vascular interventional workers had higher average annual doses to the eye lens than to the fingers, the cerebrovascular interventional workers had a higher average annual dose to the fingers than to the eye lens, and the differences were statistically significant. Conclusion The annual doses to the eye lens and fingers of the interventional radiology workers in Baoji City were lower than the national limits. However, some workers showed eye lens annual doses close to the new international standard limit (20 mSv). Special attention should be given to interventional physicians, especially the first and second surgeons.

BACKGROUND: Disease-modifying therapies have been approved for the treatment of relapsing multiple sclerosis (RMS). The present study aims to examine the safety of teriflunomide in Chinese patients with RMS. METHODS: This non-randomized, multi-center, 24-week, prospective study enrolled RMS patients with variant (c.421C>A) or wild type ABCG2 who received once-daily oral teriflunomide 14 mg. The primary endpoint was the relationship between ABCG2 polymorphisms and teriflunomide exposure over 24 weeks. Safety was assessed over the 24-week treatment with teriflunomide. RESULTS: Eighty-two patients were assigned to variant ( n  = 42) and wild type groups ( n  = 40), respectively. Geometric mean and geometric standard deviation (SD) of pre-dose concentration (variant, 54.9 [38.0] μg/mL; wild type, 49.1 [32.0] μg/mL) and area under plasma concentration-time curve over a dosing interval (AUC tau ) (variant, 1731.3 [769.0] μg∙h/mL; wild type, 1564.5 [1053.0] μg∙h/mL) values at steady state were approximately similar between the two groups. Safety profile was similar and well tolerated across variant and wild type groups in terms of rates of treatment emergent adverse events (TEAE), treatment-related TEAE, grade ≥3 TEAE, and serious adverse events (AEs). No new specific safety concerns or deaths were reported in the study. CONCLUSION: ABCG2 polymorphisms did not affect the steady-state exposure of teriflunomide, suggesting a similar efficacy and safety profile between variant and wild type RMS patients. REGISTRATION NCT04410965, https://clinicaltrials.gov .
Humans ; Crotonates/adverse effects* ; Toluidines/adverse effects* ; Nitriles ; Hydroxybutyrates ; Female ; Male ; Adult ; ATP Binding Cassette Transporter, Subfamily G, Member 2/genetics* ; Middle Aged ; Multiple Sclerosis, Relapsing-Remitting/genetics* ; Prospective Studies ; Young Adult ; Neoplasm Proteins/genetics* ; East Asian People