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 analyze and summarize the clinical, genotypic and pathological characteristics of children with PAX2 gene mutation in China, and to provide information for the monitoring, treatment and prognosis of the disease. Methods:It was a case series analysis study. The clinical data of children with PAX2 gene mutation in Pediatric Nephrology Department, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology from January 2014 to December 2022 were collected, and peripheral blood gene DNA was extracted and sequenced for whole exome sequencing. The clinical, pathological and genotypic characteristics of PAX2 gene variation of children in China were summarized by searching PubMed, Medline, China National Knowledge Infrastructure and Wanfang database and compared with the cases in this single center. Results:Among the 13 children with PAX2 gene mutation, there were 9 males and 4 females, 12 patients with abnormal urine tests, 7 patients with small kidney volume by imaging examination, and 5 patients with renal cysts. The clinical phenotypes were congenital renal and urinary tract malformations in 8 cases, renal coloboma syndrome in 1 case, and hematuria or proteinuria in 3 cases. Five patients underwent renal biopsies, showing focal segmental glomerulosclerosis and C3 glomerulopathy in 1 case, focal segmental glomerulosclerosis in 1 case, thin basement membrane lesion in 1 case, and IgA nephropathy in 2 cases. The genetic testing in 13 children showed 9 de novo mutations and 4 new mutations of c.321G>A, c.213-8C>G, c.63C>A and c.449C>T. There were 2 cases of 76dupG (p.V26Gfs*28) mutant. A total of 51 Chinese children with PAX2 gene mutation were found in the literature search. There were 32 males and 19 females, 8 cases with small kidney volume and 12 cases with renal cysts. The clinical phenotypes were congenital anomalies of kidney and urinary tract in 28 cases, renal coloboma syndrome in 17 cases, and hematuria or proteinuria in 6 cases. Seven patients underwent renal biopsies, including 2 cases with focal segmental glomerulosclerosis, 1 case with minimal lesion, 1 case with mesangial proliferative glomerulonephritis, 1 case with IgA nephropathy, 1 case with membranous nephropathy and a case with focal proliferative sclerosing purpura nephritis combined with glomerular hypertrophy. Thirty-four cases were de novo mutations, and 12 mutations were from the father or mother. The father or mother of 5 children had no clinical manifestations, with normal renal function. There were 11 cases of 76dupG (p.V26Gfs*28) mutant. Conclusions:The clinical phenotypes and genotypes of PAX2 gene variation in Chinese children are diverse. The most common clinical phenotype of PAX2 gene variation is congenital anomalies of kidney and urinary tract. c.76dupG (p.V26Gfs*28) is the most common of PAX2 gene variant.

Objective:To investigate the prognosis and risk factors of IgA vasculitis nephritis (IgAVN) in children.Methods:A retrospective cohort study was conducted. Clinical data were collected from 264 children who were pathologically diagnosed with IgAVN at Department of Pediatric Nephrology, Tongji Hospital, affiliated with Tongji Medical College, Huazhong University of Science and Technology, between January 2011 and December 2017. All patients had a follow-up period of more than 3 years. Clinical characteristics, renal pathology, 3-year and 5-year prognosis were analyzed. The patients were grouped based on gender, age of onset (≤6 years, >6-9 years, and >9 years), pathological classification (≤Ⅲ and>Ⅲ),whether the prognosis was complete remission at 3 and 5 years. Independent sample t-tests, ANOVA or chi-squared test were used for intergroup comparisons. Spearman correlation analysis was applied for ordinal data, and multivariate Logistic regression was used to analyze factors affecting the prognosis. Receiver operating characteristic (ROC) curve was utilized to evaluate the predictive value of these factors. Results:Of the 264 children with IgAVN, 153 were male and 111 were female, the age of onset was 8.3 (6.7, 10.3) years, 118 patients (45%) with onset age >6-9 years accounted for the highest proportion. All patients presented with skin purpura and renal involvement, primarily manifesting as hematuria and/or proteinuria. Microscopic hematuria was observed in 253 patients (95.8%), while 246 patients (93.2%) showed proteinuria. In 256 patients (97.0%), hematuria or proteinuria urinalysis was detected within 6 months of skin purpura onset, and 243 patients (92.0%) underwent renal biopsy within 6 months of renal involvement. The most common clinical subtype in 264 IgAVN children was hematuria and proteinuria (204 cases, 77.3%), with grade Ⅲ being the predominant pathological classification (181 cases, 68.6%). Among children ≤6 years old, the 3-year complete remission rate was higher in males than in females (83.9% (26/31) vs. 7/16, χ2=8.12, P=0.012). Factors independently associated with poor 5-year prognosis included time from hematuria or proteinuria urinalysis to renal biopsy >6 months, elevated serum cholesterol levels, and incomplete remission 3 years post-biopsy ( OR=5.41, 1.39, 6.02, 95% CI 1.40-20.86, 1.04-1.84, 2.61-13.88, all P<0.05). The serum cholesterol has a predictive value for 5-year prognosis ( P=0.020, AUC=0.62, 95% CI 0.52-0.71, Youden index=0.27, cutoff=4.37). Conclusions:For children with IgAVN aged≤6 years, the 3-year prognosis is better in males than in females. Time from hematuria or proteinuria urinalysis to renal biopsy >6 months, elevated serum cholesterol levels, and incomplete remission at 3 years post-biopsy may be independent risk factors for poor 5-year prognosis in children with IgAVN.

Objective To investigate the effects of nicorandil combined with rosuvastatin calcium on monocyte-to-high density lipoprotein cholesterol ratio (MHR), systemic immune-inflammation index (SII), and cardiac function in patients with coronary slow flow (CSF). Methods A group case-control study was used to select 240 patients with CSF confirmed by coronary angiography, and they were randomly divided into observation group and control group, with 120 patients in each group. On the basis of conventional drug treatment, the control group was treated with rosuvastatin calcium, while the observation group was treated with nicorandil combined with rosuvastatin calcium for 6 months. Clinical efficacy, inflammatory markers[high-sensitivity C-reactive protein (hs-CRP), MHR, SII], corrected TIMI frame count (CTFC) of major coronary branches [left anterior descending branch (LAD), left circumflex branch (LCX), right coronary artery (RCA)], cardiac function indicators[left ventricular ejection fraction (LVEF), left ventricular end-diastolic diameter (LVEDD), global longitudinal strain (GLS)], and the occurrence of major adverse cardiovascular events (MACE) were compared between the two groups. Results The total effective rate in the observation groupwas significantly higher than that in the control group (95.00% versus 80.00%, P < 0.05). After treatment, the duration, severity, andfrequency of angina pectoris attacks were reduced or shortened in both groups, with more changes observed in the observation group (P < 0.05). Serum levels of hs-CRP, MHR, and SII were lower in both groups after 6 months of treatment, and the observation group with significantly was lower compared to the control group (P < 0.05). CTFC values of LAD, LCX, and RCA were also lower in both groups after 6 months, with the observation group showing significantly lower values (P < 0.05). The absolute values of LVEF and GLS increased in both groups after 6 months of treatment, and the observation group was higher than the control group (P < 0.05). However, no significant difference was observed in LVEDD and occurrence of MACE between the two groups (P>0.05). Conclusion The application of nicorandil combined with rosuvastatin calcium in the treatment of CSF patients can significantly improve the overall treatment efficacy, reduce hs-CRP, MHR, and SII levels, enhance cardiac function indicators such as LVEF, LVEDD, and GLS, and effectively alleviate the severity of angina pectoris attacks.

Objective:To explore the relationship between preterm labor with different causes and cerebral perfusion in different regions of interest in very preterm infants.Methods:This was a prospective cohort study. A total of 145 preterm infants with gestational age of 28-31 +6 weeks who were hospitalized in the Neonatology Department of the Third Affiliated Hospital of Zhengzhou University within 24 h after birth from April 2022 to May 2023 were selected for the study, and were categorized into the iatrogenic preterm labor group ( n=55), spontaneous preterm labor with premature rupture of the membranes (PROM) group ( n=47), and spontaneous preterm labor with intact membranes group ( n=43) according to the cause of preterm labor. Cerebral blood flow (CBF) values in the cortex and deep gray matter of different regions of interest (frontal lobe, temporal lobe, parietal lobe, occipital lobe, thalamus, and basal ganglia) were measured using the arterial spin labeling technique in the very preterm infants in each group. One-way analysis of variance, Kruskal-Wallis H test and Bonferroni correction, Chi-square test or Fisher's exact probability method, analysis of covariance, and LSD test were used to compare the differences in CBF among the groups. Results:The differences in the incidence of complications such as cerebral white matter injury, Ⅰ-Ⅱ grade intracranial hemorrhage, and late-onset sepsis during hospitalization among the three groups of preterm infants were not statistically significant (all P>0.05). In the iatrogenic preterm labor group, compared with the spontaneous preterm labor with PROM group, CBF [in units of ml/ (100 g·min)] was higher in regions of interest such as the right temporal lobe [20.5 (16.1-24.6) vs. 17.1 (14.5-23.0)], bilateral parietal lobe [left side: 22.4 (17.1-25.3) vs. 16.9 (14.4-24.1); right side: 23.0 (18.2-27.4) vs. 17.0 (14.0-22.2)], right occipital lobe [22.1 (18.6-29.5) vs. 19.4 (13.7-24.5)], bilateral basal ganglia [left side: 33.0 (29.1-36.3) vs. 24.9 (22.9-33.1); right side: 32.8 (29.0-37.0) vs. 26.1 (22.3-35.0)], and bilateral thalamus [left side: 39.2 (36.0-45.0) vs. 32.6 (25.1-42.2); right side: 38.6 (34.6-44.1) vs. 32.0 (25.4-44.9)] (Bonferroni corrected, all P<0.017). Compared with the spontaneous preterm labor group with intact membranes, CBF in the iatrogenic preterm labor group was higher in the cortex and deep gray matter of regions of interest such as bilateral frontal lobe [left side: 21.4 (18.3-25.3) vs. 17.0 (12.0-22.2); right side: 22.1 (16.7-25.0) vs. 15.9 (12.0-23.3)], temporal lobe [left side: 21.4 (17.0-24.8) vs. 18.4 (14.0-22.0); right side: 20.5 (16.1-24.6) vs. 17.3 (13.3-22.3)], parietal lobe [left side: 22.4 (17.1-25.3) vs. 15.3 (10.4-20.8); right side: 23.0 (18.2-27.4) vs. 15.7 (11.1-23.6)], occipital lobe [left side: 22.7 (18.8-28.4) vs. 18.2 (11.4-23.4); right side: 22.1 (18.6-29.5) vs. 19.6 (14.0-25.8)], basal ganglia [left side: 33.0 (29.1-36.3) vs. 27.7 (19.1-32.4); right side: 32.8 (29.0-37.0) vs. 27.7 (21.5-33.0)] and thalamus [left side: 39.2 (36.0-45.0) vs. 33.9 (26.0-43.7); right side: 38.6 (34.6-44.1) vs. 33.3 (27.8-40.4)] (Bonferroni corrected, all P<0.017). Analysis of covariance revealed that the cause of preterm birth had a significant effect on CBF values in the cortex and deep gray matter of very preterm infants ( P=0.007), and that iatrogenic preterm birth elevated CBF perfusion in the localized cerebral cortex and deep gray matter of very preterm infants as compared to the spontaneous preterm births with PROM group and spontaneous preterm births with intact membranes group (LSD test, all P<0.05). Conclusion:Cerebral blood perfusion in very preterm infants is related to the causes leading to preterm birth, and local cortical and deep gray matter blood perfusion levels in the brain are increased in those with iatrogenic preterm birth compared to spontaneous preterm birth.

Malnutrition is defined as insufficient or excessive nutrient intake, an imbalance of essential nutrients, or impaired utilization of nutrients. These issues can result in changes in body composition, decreased physiological function, and impaired mental status, all of which negatively affect patients' quality of life, physical function, ability to engage in independent activities, and overall clinical outcomes. Consequently, malnutrition can lead to higher morbidity rates, prolonged hospital stays, increased mortality rates, and elevated healthcare expenditures. Regardless of patients' age, medical history, or physical condition, all individuals should be screened for malnutrition risk using a malnutrition risk screening tool. This approach facilitates the early identification of patients at risk of malnutrition, allowing for the timely initiation of personalized nutrition support to prevent or reverse malnutrition. In clinical practice, various malnutrition risk screening and assessment tools are available, tailored to different diseases, age groups, and medical environments. However, these tools vary in their effectiveness, consistency, reliability, and applicability. This paper provides an overview of the research progress on methods for screening malnutrition and assessing malnutrition risk in hospitalized adult patients.

Malnutrition is defined as insufficient or excessive nutrient intake, an imbalance of essential nutrients, or impaired utilization of nutrients. These issues can result in changes in body composition, decreased physiological function, and impaired mental status, all of which negatively affect patients' quality of life, physical function, ability to engage in independent activities, and overall clinical outcomes. Consequently, malnutrition can lead to higher morbidity rates, prolonged hospital stays, increased mortality rates, and elevated healthcare expenditures. Regardless of patients' age, medical history, or physical condition, all individuals should be screened for malnutrition risk using a malnutrition risk screening tool. This approach facilitates the early identification of patients at risk of malnutrition, allowing for the timely initiation of personalized nutrition support to prevent or reverse malnutrition. In clinical practice, various malnutrition risk screening and assessment tools are available, tailored to different diseases, age groups, and medical environments. However, these tools vary in their effectiveness, consistency, reliability, and applicability. This paper provides an overview of the research progress on methods for screening malnutrition and assessing malnutrition risk in hospitalized adult patients.

The Chinese Neonatal Network(CHNN) was established in 2018 with the mission of establishing a national collaboration platform, conducting high-quality and collaborative research, and ultimately improving the quality of neonatal-perinatal care and health in China.At present, 112 hospitals across the country have joined CHNN.CHNN has established a national standardized cohort of very premature infants/very low birth weight infants with >10 000 enrollments each year, has been leading data-driven collaborative quality improvement initiatives, conducting multicenter clinical studies, and performing multi-level training programs.Guided by the principles of collaboration and sharing, data-driven, continuous improvement, and international integration, CHNN has become an important platform for clinical and research collaboration in neonatal medicine in China.