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.

Objective To quantitatively study the correlation between T1ρ and T2 values of glenohumeral articular cartilage and the degree of rotator cuff injury.Methods A total of 149 patients with rotator cuff injury and healthy volunteers were prospectively selected.All of them underwent MRI routine scanning and T1 ρ and T2 mapping sequences.The degree of rotator cuff injury was graded,and the T1ρ and T2 values of glenohumeral articular cartilage were measured to analyze their relationship.Results With the development of rotator cuff injury grading,the T1 ρ and T2 values of glenohumeral articular cartilage increased.There were statistically significant differences in T1ρ and T2 values of articular cartilage between the different grades of rotator cuff injury(P＜0.001).Conclusion The injury of glenohumeral articular cartilage is aggravated with the severity of rotator cuff injury.The severity of rotator cuff injury can be evaluated by analyzing the T1 ρ and T2 values of glenohumeral articular cartilage.

Objective To explore the value of measuring infrapatellar fat pad(IPFP)and muscle fat fraction(FF)around the knee joint based on iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification(IDEAL-IQ)quantitative technology in patients with knee osteoarthritis(KOA)for the degree of KOA.Methods A total of 106 participants were included in this study.Participants were grouped based on Kellgren-Lawrence grading(KLG),divided into no KOA group,mild KOA group and severe KOA group.The IDEAL-IQ technology was used to measure FF values of IPFP and muscles around the knee joint,the correlation between FF values and KOA was analyzed,and its value in diagnosing KOA was evaluated.Results In severe KOA group and mild KOA group can be observed in the way of lower IPFP FF values and higher FF values muscles around the knee joint.The FF values of IPFP and part of the muscles around the knee joint[vastus medialis muscle(VM),vastus lateralis muscle(VL),semimembranosus(SE),sartorius(SA),medial head of gastrocnemius muscle(Gas(media)),lateral head of gastrocnemius muscle(Gas(lateral))]were correlated with the degree of KOA(r/rs=-0.708,0.737,0.567,0.468,0.280,0.491,0.378),the area under the curve(AUC)for diagnosing KOA were 0.850,0.950,0.842,0.759,0.692,0.763,and 0.725,respectively.Conclusion IDEAL-IQ sequence can quantitatively assess fat infiltration of IPFP and muscles around the knee joint in patients with KOA,and has certain potential to predict the development and severity of KOA.

Bowel sounds can reflect the movement and health status of the gastrointestinal tract.However,the traditional manual auscultation method has subjective deviation and is time-consuming and labor-intensive.In order to better assist doctors in diagnosing bowel sounds and improve the reliability and efficiency of bowel sound detection,this study proposed a deep neural network model that combines a residual neural network(ResNet),a bidirectional long short-term memory network(BiLSTM),and an attention mechanism.Firstly,a large number of labeled clinical data was collected using the self-developed multi-channel bowel sound acquisition system,and the multi-scale wavelet decomposition and reconstruction method was used to preprocess the bowel sounds.Then,log Mel spectrogram features were extracted and sent to the network for training.Finally,the performance and effectiveness of the model were evaluated and verified by 10-fold cross-validation and an ablation experiment.The experimental results showed that the precision,recall,and F1 score of the model reached 83%,76%,and 79%,respectively,and it could effectively detect bowel sound segments and locate their start and end times,performing better than previous algorithms.This algorithm can not only provide auxiliary information for doctors in clinical practice but also offer technical support for further analysis and research of bowel sounds.

Objective:To investigate the association of urinary cadmium levels with peripheral leukocyte classification counts among middle-aged and older adults aged 40 to 89 years in selected areas of China.Methods:The research was based on the survey of the impact of soil quality of agricultural land on human health in typical areas conducted in 2019-2020. A total of 5 600 middle-aged and older adults aged 40 to 89 years were included by using a multi-stage stratified random sampling method. Baseline characteristics of the subjects were collected and physical examinations were performed. Random midstream urine was collected to measure urinary cadmium and urinary creatinine and fasting venous blood was collected to measure the leukocyte count, neutrophil count, lymphocyte count, monocyte count and eosinophil count. The linear mixed effect model was used to analyse the association of urinary cadmium levels with leukocyte classification counts, and the dose-response relationship between them was analyzed by using the restricted cubic spline (RCS) function.Results:The age of the subjects was (63.17±12.02) years; 2 851 (50.91%) were males; and the M ( Q 1, Q 3) of urinary creatinine-corrected urinary cadmium levels was 2.69 (1.52, 4.69) μg/g·creatinine. After adjusting for confounding factors, the results of linear mixed effects model analysis showed that for each 1-unit increase in urinary creatinine-corrected urinary cadmium level, the percentage change [% (95% CI)] of leukocyte count and lymphocyte count was -1.70% (-2.61%, -0.79%) and -1.57% (-2.86%, -0.26%), respectively. RCS function showed a negative linear relationship between urinary creatinine-corrected urinary cadmium levels and leukocyte counts and lymphocyte counts, respectively (all Pnon-linear>0.05). Conclusion:Urinary cadmium levels are negatively associated with leukocyte count and lymphocyte count among middle-aged and older adults aged 40 to 89 years in selected areas of China.

Objective:To investigate the association of urinary cadmium levels with peripheral leukocyte classification counts among middle-aged and older adults aged 40 to 89 years in selected areas of China.Methods:The research was based on the survey of the impact of soil quality of agricultural land on human health in typical areas conducted in 2019-2020. A total of 5 600 middle-aged and older adults aged 40 to 89 years were included by using a multi-stage stratified random sampling method. Baseline characteristics of the subjects were collected and physical examinations were performed. Random midstream urine was collected to measure urinary cadmium and urinary creatinine and fasting venous blood was collected to measure the leukocyte count, neutrophil count, lymphocyte count, monocyte count and eosinophil count. The linear mixed effect model was used to analyse the association of urinary cadmium levels with leukocyte classification counts, and the dose-response relationship between them was analyzed by using the restricted cubic spline (RCS) function.Results:The age of the subjects was (63.17±12.02) years; 2 851 (50.91%) were males; and the M ( Q 1, Q 3) of urinary creatinine-corrected urinary cadmium levels was 2.69 (1.52, 4.69) μg/g·creatinine. After adjusting for confounding factors, the results of linear mixed effects model analysis showed that for each 1-unit increase in urinary creatinine-corrected urinary cadmium level, the percentage change [% (95% CI)] of leukocyte count and lymphocyte count was -1.70% (-2.61%, -0.79%) and -1.57% (-2.86%, -0.26%), respectively. RCS function showed a negative linear relationship between urinary creatinine-corrected urinary cadmium levels and leukocyte counts and lymphocyte counts, respectively (all Pnon-linear>0.05). Conclusion:Urinary cadmium levels are negatively associated with leukocyte count and lymphocyte count among middle-aged and older adults aged 40 to 89 years in selected areas of China.

Objective To investigate the therapeutic effect of Yudantong decoction in mice with α-naphthyl isothiocyanate (ANIT)-induced cholestasis, as well as its targets and mechanism based on intestinal flora and intestinal barrier function. Methods A total of 24 C57BL/6 mice were randomly divided into control group, model group, Yudantong decoction group (YDTF group), and ursodeoxycholic acid (UDCA) group, with 6 mice in each group. The mice in the model group, the YDTF group, and the UDCA group were given ANIT 35 mg/kg/day by gavage on days 1, 4, 7, 10, and 13, and those in the YDTF group and the UDCA group were given Yudantong decoction or UDCA by gavage for 15 consecutive days; related samples were collected on day 16. Liver histopathology was observed, and liver function parameters were measured; immunohistochemistry was used to measure the protein expression levels of caspase-1, interleukin-1β (IL-1β), and FXR in the liver, and flow cytometry was used to measure the percentages of CD11b + , CD86 + , and CD45 + immune cells in the liver; 16S rDNA sequencing and information analysis were performed for fecal microorganisms; immunohistochemistry was used to measure the protein expression of the intestinal FXR/NLRP3 pathway, and immunofluorescence assay was used to measure the protein expression of intestinal E-cadherin and occludin. A one-way analysis of variance was used for comparison of continuous data with homogeneity of variance between multiple groups, and the least significant difference t -test was used for further comparison between two groups; the Welch test was used for comparison of data with heterogeneity of variance between multiple groups, and the Games-Howell test was used for further comparison between two groups. Results HE staining showed that the model group had partial hepatocyte fatty degeneration, massive necrosis of hepatocytes in hepatic lobules, damage of lobular structure, and massive inflammatory cell infiltration, and the YDTF group and the UDCA group had alleviation of hepatocyte fatty degeneration and hepatocyte necrosis in hepatic lobules, with a reduction in inflammatory cells. Compared with the control group, the model group had significantly higher serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transpeptidase (GGT), alkaline phosphatase (ALP), total bilirubin (TBil), direct bilirubin (DBil), and total bile acid (TBA) (all P < 0.05); compared with the model group, the YDTF group had significant reductions in the serum levels of ALT, AST, GGT, ALP, TBil, DBil, and TBA (all P < 0.05), and the UDCA group had significant reductions in the serum levels of GGT, TBil, DBil, and TBA (all P < 0.05). Compared with the control group, the model group had significant increases in the levels of caspase-1 and IL-1β and a significant reduction in the expression of FXR in the liver (all P < 0.05); compared with the model group, the YDTF group had significant reductions in the levels of caspase-1 and IL-1β in the liver and the UDCA group had a significant reduction in the level of IL-1β in the liver, and both the YDTF group and the UDCA group had a significant increase in the expression level of FXR in the liver (all P < 0.05). The model group had a significant change in the composition of intestinal flora compared with the control group ( P < 0.05); there was a significant difference in the structure of intestinal flora between the YDTF group and the model group ( P < 0.05), and there was also a significant difference in the composition of intestinal flora between the UDCA group and the control/model groups ( P < 0.05). Compared with the control group, the model group had a significant increase in the abundance of intestinal Akkermansia muciniphila and a significant reduction in the abundance of Lactobacillus johnsonii (both P < 0.05); compared with the model group, both the YDTF group and the UDCA group had a significant reduction in the abundance of intestinal Akkermansia muciniphila , and the YDTF group had a significant increase in the abundance of Lactobacillus murinus , while the UDCA group had significant increases in the abundance of Lactobacillus murinus and Bifidobacterium pseudolongum (all P < 0.05). Compared with the control group, the model group had a significant reduction in the protein expression of intestinal FXR, a significant increase in the protein expression of intestinal NLRP3, and significant reductions in the expression of intestinal E-cadherin and occludin (all P < 0.05); compared with the model group, both the YDTF group and the UDCA group had a significant increase in the protein expression of intestinal FXR, a significant reduction in the protein expression of intestinal NLRP3, and significant increases in the expression of intestinal E-cadherin and occludin (all P < 0.05). Conclusion Yudantong decoction can alleviate liver injury in mice with ANIT-induced cholestasis, possibly by improving intestinal flora and enhancing intestinal barrier function.

Background At present, radiation therapy is widely used in clinical treatment of tumors. However, while radiation therapy damages tumor cells, it also injures surrounding normal tissues. Studies have shown that hydrogen is a potential radiation-protective agent. Objective To investigate the neuroprotective mechanisms of hydrogen-rich water activating phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT)/cysteinyl aspartate specificproteinase-9 (Caspase-9) signaling pathway in acute radiation-induced brain injury. Methods Forty male SD rats were randomly divided into four groups: control group, irradiation only group (IR), high-dose hydrogen-rich water intervention group (IR+HHRW), and low-dose hydrogen-rich water intervention group (IR+LHRW), 10 rats in each group. Except for the control group, animals in each group received a single 20 Gy whole brain irradiation. Animals in all groups were gavaged once a day from 3 d before irradiation to 7 d after irradiation, pure water (20 mL·kg⁻¹) was given to the control and the IR groups, and hydrogen-rich water (20 mL·kg⁻¹, 10 mL·kg⁻¹) was given to the IR+HHRW and the IR+LHRW groups. After 7 d of intervention, 5 rats in each group were selected for the Morris water maze experiment for behavioral evaluation. Autopsies were conducted after anesthesia for the remaining animals and blood samples were collected for hematological analysis. Rat brains were harvested for TUNEL staining to observe neuronal apoptosis. HE staining was performed to observe histopathological changes, enzyme-linked immunosorbent assay was adopted to detect oxidative stress-related indicators, and real-time PCR and Western blotting were used to measure the expressions of PI3K/AKT/Caspase-9 pathway-related genes and proteins. Results The body weight of rats receiving irradiation decreased after 7 d of irradiation compared with the control group (P<0.05), and the symptoms such as arched back and malaise occurred to varying degrees, and the symptoms of rats in the IR+HHRW group were significantly milder than those in the IR group. The behavioral test results showed that the escape latency of rats in the IR+HHRW group or the IR+LHRW group was shorter than that in the IR group from day 2 to day 5 (P<0.05), and it took less time for rats in the IR+HHRW group to reach the original position after removing the platform on day 6 (P<0.05). The hematological test results showed that red blood cell (RBC) count, hemoglobin (HGB) level, and white blood cell (WBC) count were significantly decreased in the IR group (P<0.05), and the changes in the IR+HHRW group were improved (P<0.05). The HE staining results showed that the number of abnormal nerve cells, broken and dissolved nuclei, and the degree of damage in the IR+HHRW group were significantly reduced than those in the IR group. The results of oxidative stress evaluation showed that the ability of the IR group to inhibit free radicals decreased, the level of malondialdehyde (MDA) increased (P<0.01); the MDA level decreased after LHRW intervention (P<0.05); the SOD activity was elevated after HHRW intervention (P<0.05). The TUNEL staining results showed that the apoptosis signals in the IR+HHRW group were sparser than those in the IR group (P<0.05). The real-time PCR results showed that compared with the IR group, the mRNA expression levels of PI3K and AKT in the IR+HHRW group and the IR+LHRW group increased (P<0.05), while the mRNA expression levels of Cytc and Caspase-9 decreased (P<0.05). The Western blotting results showed that compared with the IR group, the phospho-AKT (pAKT) protein expression level in the IR+HHRW group increased significantly (P<0.05), while the expression of Caspase-9 and Cytc proteins decreased significantly (P<0.05). Conclusion Hydrogen-rich water can significantly reduce inflammation and oxidative stress caused by acute irradiation-induced brain injury, and decrease neuronal apoptosis. The mechanism may be related to the PI3K/AKT/Caspase-9 signaling pathway.