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 investigate the impact of lifestyle, apolipoprotein E (ApoE) gene, and their interaction on the risk for cognitive frailty in the elderly population in China.Methods:The study participants were from the Chinese Longitudinal Healthy Longevity Survey. The information about their lifestyles were collected by questionnaire survey, and a weighted lifestyle score was constructed based on β coefficients associated with specific lifestyles to assess the combined lifestyle. ApoE genotypes were assessed by rs429358 and rs7412 single nucleotide polymorphisms. Cognitive frailty was assessed based on cognitive function and physical frailty. Cox proportional hazards regression model was used to analyze the association of lifestyle and ApoE gene with the risk for cognitive frailty and evaluate the multiplicative and additive interactions between lifestyle and ApoE gene. Results:A total of 5 676 elderly persons, with median age [ M ( Q1, Q3)] of 76 (68, 85) years, were included, in whom 615 had cognitive frailty. The analysis by Cox proportional hazards regression model indicated that moderate and high levels of dietary diversity could reduce the risk for cognitive frailty by 18% [hazard ratio ( HR)=0.82, 95% CI: 0.68-1.00] and 28% ( HR=0.72, 95% CI: 0.57-0.91), respectively; moderate and high levels of physical activity could reduce the risk by 31% ( HR=0.69, 95% CI: 0.56-0.85) and 23% ( HR=0.77, 95% CI: 0.64-0.93), respectively. Healthy lifestyle was associated with a 40% reduced risk for cognitive frailty ( HR=0.60, 95% CI: 0.46-0.78). ApoE ε4 allele was associated with a 26% increased risk for cognitive frailty ( HR=1.26, 95% CI: 1.02-1.56). No multiplicative or additive interactions were found between lifestyle and ApoE gene. Conclusions:Dietary diversity and regular physical activity have protective effects against cognitive frailty in elderly population. Healthy lifestyle can reduce the risk for cognitive frailty in elderly population regardless of ApoE ε4 allele carriage status.

Objective:To explore the relationship between blood urea nitrogen to creatinine ratio and frailty in the elderly aged ≥65 years in 8 longevity areas in China.Methods:Participants were recruited from the Healthy Aging and Biomarkers Cohort Study. Based on baseline information about blood urea nitrogen and risk for frailty obtained at follow-up of the participants, blood urea nitrogen to creatinine ratio was classified according to quintiles, Cox proportional hazard regression models were used to analyze the association between blood urea nitrogen to creatinine ratio and frailty.Results:A total of 1 562 participants aged (81.0±17.0) years were included, in whom 814 (52.1%) were men, and 258 frailty events occurred during a mean follow-up of (3.73±1.43) years. Cox proportional hazards model showed that after adjusting for relevant confounders, compared with the participants in the lowest quintile group ( Q1), the risk for frailty decreased by 36%, 44%, and 40% in the participants in the third quintile group ( Q3), the fourth quintile group ( Q4) and the highest quintile group ( Q5) respectively [hazard ratio ( HR)=0.64, 95% CI: 0.43-0.94; HR=0.56, 95% CI: 0.38-0.84; HR=0.60, 95% CI: 0.41-0.88]. The risk for frailty decreased by 20% for every unit standard deviation increase in blood urea nitrogen to creatinine ratio ( HR=0.80, 95% CI: 0.70-0.91). Moreover, blood urea nitrogen to creatinine ratio and the risk for frailty showed a nearly linear dose-response relationship. Conclusions:The increase in blood urea nitrogen to creatinine ratio was associated with higher risk for frailty. Maintaining high blood urea nitrogen to creatinine ratio is important for the prevention of frailty in the elderly.

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.

Xiaoxuming decoction is one of the classical prescriptions in ancient times,mainly used for treating stroke syndrome,with significant therapeutic effects.Recent studies have found that it is also effective for other neurological diseases besides stroke,such as facial paralysis and vertigo,but there are few reports on related achievements,lacking systematic organization and summary.This article systematically summarizes the application practice and mechanism of Xiaoxuming decoction in the above-mentioned diseases,aiming to provide a solid foundation and scientific reference for deepening the exploration of Xiaoxuming decoction in the field of nervous system disease.

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.