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 explore the suitable prostate cancer screening mode under the medical community for primary hospitals.Methods:From April 2021 to April 2022, a total of 16007 male population ≥50 years from 9 branches of the medical community of the second hospital of Yinzhou participated in this study. They were divided into four groups according to age with group 1 of 50-59 years old, group 2 of 60-69 years old, group 3 of 70-79 years old, and group 4 of 80 years old and above. Serum tPSA was added to the routine physical examination, and the screening positive patients were referred to the referral hospital for further diagnosis and treatment under the mode of medical community. We proposed multi-parametric MRI (mpMRI) for those with serum PSA ≥4 ng/ml and suspicious lesions should be scored according to PI-RADS V2. The ultrasound-guided transperineal targeted prostate biopsy was performed for those with PI-RADS ≥3 and those with PI-RADS < 3 but tPSA ≥10 ng/ml. The tPSA follow-up examinations were performed every 6 months for tPSA < 10 ng/ml and PI-RADS < 3 points and once a year for tPSA < 4 ng/ml.Results:Among the 16 007 male population ≥50 years, 2 007(12.54%) were found serum PSA ≥4 ng/ml, and 634(31.59%)were referred to the referral hospital through the medical community system. Combining tPSA and mpMRI, 271 patients underwent ultrasound-guided transperineal targeted prostate biopsy. Among them, 162 were finally diagnosed with PCa, with a biopsy positive rate of 59.78%. The detection rate of PCa in all the subjects was 1.01%. According to the pathological grade, 5(3.08%) were in ISUP group 1, 95(58.64%) in ISUP group 2-3, and 62(38.27%) in ISUP group 4-5. There were 102(62.96%), 39(24.07%) and 21(12.96%) with localized, locally advanced or metastatic PCa, respectively. The levels of tPSA in the four groups were (1.13±1.44)ng/ml, (1.77±3.45)ng/ml, (3.27±17.58)ng/ml, and (4.26±11.48)ng/ml, respectively, with statistically significant differences ( P<0.01). The positive number of biopsy in each group was 1 case(0.06%), 56 cases(0.79%), 81 cases(1.36%) and 24 cases(1.82%) respectively, with statistically significant differences ( P<0.01). The number of ISUP 4-5 grades in each group was 0, 17(30.35%), 29(35.80%), and 16(66.67%) respectively, with statistically significant differences ( P<0.01). Conclusions:Based on the medical community system, according to the tPSA screening results of the primary hospitals, it is feasible and effective to refer suspicious patients to the referral hospitals for mpMRI examination, and screen prostate cancer by ultrasound-guided transperineal prostate fusion biopsy.

Objective:To explore the effect of NOD-like receptor thermal protein 3 ( NLRP3) knockout in γ-aminobutyric acid (GABA)-ergic neurons in the hippocampal CA1 area on improving cognitive dysfunction in mice after traumatic brain injury (TBI). Methods:Forty-eight healthy male NLRP3 flox/flox mice weighing 25-28 g were randomly divided into 4 groups ( n=12): sham-operated+control virus group (SV group), sham-operated+ NLRP3 specific knockout group (SG group), TBI+control virus group (TV group), TBI+ NLRP3 specific knockout group (TG group). TBI in the TV and TG groups was established by free-fall method, while surgical procedures such as scalp incision and cranial window opening without impact were given to the SV and SG groups. Adenovirus was injected into the hippocampal CA1 area of SG and TG groups 21 d before TBI to induce NLRP3 specific knockout in GABA-ergic neurons in the hippocampal CA1 area; empty virus was injected into the CA1 area of SV and TV groups. Cognitive function was evaluated using novel object recognition test 30 and 31 d after TBI, and learning and memory functions were assessed using Morris water maze test 32-36 d after TBI. Field potentials in the hippocampal CA1 area were recorded during novel object recognition 31 d after TBI. After behavioral tests, these mice were sacrificed. Immunofluorescent staining was used to detect the fluorescent intensity of microtubule-associated protein2 (MAP2), glutamic acid decarboxylase 67 (GAD67), and postsynaptic density protein 95 (PSD95) in the hippocampal CA1 area, as well as percentage of pyroptosis-associated inflammatory factor interleukin-18 (IL-18)/GAD67 double-positive neurons in total GAD67 positive neurons. Results:Compared with the SV and SG groups, the TV and TG groups had decreased novel object recognition index, decreased number of platform crossings during the experimental period, increased escape latency on day 3 and day 4 of the training period in Morris water maze test, decreased θ and γ oscillation power in the hippocampal CA1 area during novel object recognition, decreased fluorescent intensity of MAP2, GAD67, and PSD95 in the hippocampal CA1 area, increased percentage of IL-18/GAD67 double-positive neurons, with significant differences ( P<0.05). Compared with the TV group, the TG group had increased novel object recognition index, increased number of platform crossings in Morris water maze test, decreased escape latency during the training period, increased θ and γ oscillation power in the hippocampal CA1 area during novel object recognition, increased fluorescence intensity of MAP2, GAD67, and PSD95 in the hippocampal CA1 area, decreased percentage of IL-18/GAD67 double-positive neurons, with significant differences ( P<0.05). Conclusion:Specific inhibition of NLRP3 expression in GABA-ergic neurons in the hippocampal CA1 area can improve cognitive dysfunction in mice after TBI, whose mechanism may be related to inhibited GABA-ergic neuronal pyroptosis in the hippocampal CA1 area.

Objective To analyze the medication rule of Traditional Chinese Medicine(TCM)in treating diabetes nephropathy(DN)and to explore the interaction between core components and key targets.Methods Based on the ancient and modern medical case cloud platform,the medication rules of TCMs and the drug pairs with the highest frequency in treating DN were summarized.Then the network pharmacology approach was utilized to analyze the pharmacodynamic material basis and mechanisms of the highest frequency-drug pairs.The potential targets were predicted by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)databases.TTD,DISGENET,and GENECARD databases were used to obtain the related targets of DN and screen out the potential targets for DN.In order to clarify the relationships between the active ingredients,the core targets,and pathways,STRING and Cytoscape 3.7.1 software were used to construct the protein-protein interaction(PPI)network and core drugs-ingredients-targets-disease interaction network,DAVID database was screened for Kyoto Encyclopedia of Genes and Gnomes(KEGG)enrichment analysis of core targets.Sybyl 2.1 software and biofilm interference verify the combined capacity between the core ingredients and key targets.Results Among 183 prescriptions,Astragali Radix had the highest use frequency and average dose,43 times and 37 g,respectively,followed by Salviae miltiorrhizae Radix and Poria cocos.To find the core combined with the highest confidence in association analysis was astragalus,salvia miltiorrhiza,and tuckahoe.Correlation analysis indicates that the core combination with the highest confidence was Astragali Radix-Salviae miltiorrhizae Radix-Poria cocos.Network pharmacologic showed 89 potential targets and 15 key signaling pathways for the treatment of DN by the drug pair.TNF signaling pathway,Nod-like receptor signaling pathway,and MAPK signaling pathway were disease-related pathways,and IL-6,TNF,and vascular endothelial growth factor A(VEGFA)were core targets.Isorhamnetin and quercetin of the drug pair had high binding ability with IL6,the scores were 8.2 and 7.4,respectively,and the dissociation constants(KD)were 5.6×10-5 mol·L-1 and 6.8×10-5 mol·L-1,respectively.Conclusion This study preliminarily finds the prescription rule of treating DN with Astragali Radix-Salviae miltiorrhizae Radix-Poria cocos as the core drug pair,isorhamnetin,and quercetin are probably the main active compounds of this drug pair in DN treatment,which provides a basis for clinical treatment and drug discovery of DN.

Objective:To explore the impact of whole blood organophosphate esters (OPEs) flame retardant exposure on thyroid function-related hormones in healthy older adults.Methods:In this panel study, five repeated population-based epidemiological surveys and biological sample collection were conducted from September 2018 to January 2019, with 76 healthy older adults aged 60-69 years in the Dianliu Community of Jinan, Shandong Province. Information on the sociodemographic characteristics, diet, and health status of the respondents was systematically gathered through questionnaires and physical examinations. Fasting venous blood was collected to determine the levels of OPEs, thyroid-stimulating hormone (TSH), triiodothyronine (T 3), and thyroxine (T 4). A linear mixed-effects model was used to analyze the impact of OPEs exposure on thyroid function-related hormones in healthy older adults. Results:Each of the 76 subjects participated in at least two follow-up visits, resulting in a total of 350 person visits. The age of the study participants was (65.07±2.76) years, with 38 participants of both sexes. A total of eight OPEs were included with a detection rate exceeding 50%, and the M ( Q 1, Q3) for ∑OPEs was 3.85 (2.33, 5.74) ng/ml, with alkyl-OPEs being the major type of OPEs with an M ( Q 1, Q3) of 1.27 (0.64, 2.50) ng/ml. The M ( Q 1, Q3) for TSH, T 3, and T 4 was 3.74 (2.55, 5.69) μIU/ml, 1.32 (1.10, 1.60) ng/ml, and 45.04 (36.96, 53.27) ng/ml, respectively. Linear mixed-effects model showed that TSH was significantly decreased by 9.93% (95% CI:-15.17%, -4.36%) and 11.14% (95% CI:-15.94%, -6.06%) in older adults for each quartile level increase in TnBP and TEHP exposures, respectively. Gender-stratified analysis indicated that TEHP exposure was negatively associated with TSH levels in male older adults, whereas a decrease in TSH levels among female older adults was associated with TnBP exposure. Conclusion:Exposure to whole blood OPEs is associated with decreased TSH levels among healthy older adults, with notable gender differences.

Objective:To explore the impact of whole blood organophosphate esters (OPEs) flame retardant exposure on thyroid function-related hormones in healthy older adults.Methods:In this panel study, five repeated population-based epidemiological surveys and biological sample collection were conducted from September 2018 to January 2019, with 76 healthy older adults aged 60-69 years in the Dianliu Community of Jinan, Shandong Province. Information on the sociodemographic characteristics, diet, and health status of the respondents was systematically gathered through questionnaires and physical examinations. Fasting venous blood was collected to determine the levels of OPEs, thyroid-stimulating hormone (TSH), triiodothyronine (T 3), and thyroxine (T 4). A linear mixed-effects model was used to analyze the impact of OPEs exposure on thyroid function-related hormones in healthy older adults. Results:Each of the 76 subjects participated in at least two follow-up visits, resulting in a total of 350 person visits. The age of the study participants was (65.07±2.76) years, with 38 participants of both sexes. A total of eight OPEs were included with a detection rate exceeding 50%, and the M ( Q 1, Q3) for ∑OPEs was 3.85 (2.33, 5.74) ng/ml, with alkyl-OPEs being the major type of OPEs with an M ( Q 1, Q3) of 1.27 (0.64, 2.50) ng/ml. The M ( Q 1, Q3) for TSH, T 3, and T 4 was 3.74 (2.55, 5.69) μIU/ml, 1.32 (1.10, 1.60) ng/ml, and 45.04 (36.96, 53.27) ng/ml, respectively. Linear mixed-effects model showed that TSH was significantly decreased by 9.93% (95% CI:-15.17%, -4.36%) and 11.14% (95% CI:-15.94%, -6.06%) in older adults for each quartile level increase in TnBP and TEHP exposures, respectively. Gender-stratified analysis indicated that TEHP exposure was negatively associated with TSH levels in male older adults, whereas a decrease in TSH levels among female older adults was associated with TnBP exposure. Conclusion:Exposure to whole blood OPEs is associated with decreased TSH levels among healthy older adults, with notable gender differences.

Objective:To investigate the clinical efficacy and safety of ferric derisomaltose injection versus iron sucrose injection in the treatment of iron deficiency anemia (IDA) .Methods:A total of 120 patients with iron deficiency anemia admitted from June 2021 to March 2023 were given intravenous iron supplementation with ferric derisomaltose to assess the efficacy and safety of hemoglobin (HGB) elevation before and after treatment. Simultaneously, the clinical effects of iron supplementation with iron sucrose were compared to those of inpatient patients during the same period.Results:Baseline values were comparable in both groups. Within 12 weeks of treatment, the elevated HGB level in the ferric derisomaltose group was higher than that of the iron sucrose group, with a statistical difference at all time points, and the proportion of HGB increased over 20 g/L in the patients treated for 4 weeks was higher (98.7%, 75.9% ). During the treatment with ferric derisomaltose and iron sucrose, the proportion of mild adverse reactions in the ferric derisomaltose group was slightly lower than that of the iron sucrose group, and neither group experienced any serious adverse reactions. The patients responded well to the infusion treatment, with no reports of pain or pigmentation at the injection site.Conclusion:The treatment of IDA patients with ferric derisomaltose has a satisfactory curative effect, with the advantages of rapidity, accuracy, and safety. Therefore, it is worthy of widespread clinical use.