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 expression of peroxiredoxin 4 (PRDX4) in oral squamous cell carcinoma (OSCC) and its effect on the proliferation, migration, and invasion of OSCC cells. Methods: The Cancer Genome Atlas(TCGA) database was used to analyze the expression of PRDX4 in OSCC. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) and Western Blot (WB) were used to detect the mRNA and protein expression of PRDX4 in OSCC cell lines and normal oral mucosal epithelial cells. PRDX4 was knocked down in CAL-27 cells and divided into two groups: the si-PRDX4 group and si-NC group. SCC-9 cells overexpressing PRDX4 were divided into two groups: the PRDX4 overexpression group (transfected with pcDNA3.1-PRDX4 plasmid) and the vector group (the control group; transfected with pcDNA3.1-NC plasmid). A cell counting kit-8 (CCK-8) and plate colony formation assay were used to detect cell proliferation. Transwell assay and cell scratch test were used to detect cell invasion and migration ability. WB was used to detect the effects of knockdown or overexpression of PRDX4, p38MAPK agonist or inhibitor on the expression of p38MAPK-related signaling pathway proteins, and epithelial mesenchymal transition proteins in OSCC cells. Results: PRDX4 was highly expressed in OSCC tissues and cell lines. The results of qRT-PCR and WB showed that PRDX4 was highly expressed in OSCC cell lines compared with normal oral mucosal epithelial cells. The CCK-8 assay showed that the si-PRDX4 group had significantly lower OD values than the si-NC group at 24, 48, and 72 h (P<0.05). The PRDX4 overexpression group had a significantly higher OD value than the vector group at 24, 48, and 72 h (P<0.05). The plate colony formation assay showed that the si-PRDX4 group had a significantly lower number of colonies than the si-NC group (P<0.05). The number of colonies formed in the PRDX4 overexpression group was significantly higher than that in the vector group (P<0.05). The cell scratch test showed that the wound healing area of the si-PRDX4 group was less than that of the si-NC group (P<0.05). The scratch healing area of the PRDX4 overexpression group was significantly higher than that of the vector group (P<0.05). The Transwell invasion assay showed that the number of transmembrane cells in the si-PRDX4 group was lower than that in the si-NC group (P<0.05). The number of transmembrane cells in the PRDX4 overexpression group was significantly higher than that in the vector group (P<0.05). The WB results showed that knockdown and overexpression of PRDX4 could downregulate and upregulate the expression of the p38MAPK signaling pathway and epithelial-mesenchymal transition related proteins, respectively, and the addition of p38MAPK agonist and inhibitor could significantly reverse the expression of related proteins. Conclusion PRDX4 is highly expressed in OSCC. Knocking down the expression of PRDX4 in OSCC cells can downregulate the expression of p38 MAPK signal axis and EMT-related signal proteins, thereby inhibiting the proliferation, migration, invasion, and epithelial-mesenchymal transition of cells.

Objective:To evaluate the relationship between intraoperative hypothermia and early postoperative pulmonary complications (PPCs) in pediatric patients undergoing living donor liver transplantation (LDLT).Methods:This was a retrospective study. Medical records of pediatric patients of either sex, aged 4-24 months, diagnosed with congenital biliary atresia who underwent LDLT from January 2021 to March 2023 were collected from the electronic medical record system of Tianjin First Central Hospital. The collected data included general characteristics, intraoperative conditions, and PPCs such as postoperative pediatric acute respiratory distress syndrome, pneumonia, pleural effusion, atelectasis, and pulmonary edema within 1 week after operation. Additional indicators comprised the difference in systemic immune-inflammation index (SII) between 1 day before surgery and at the end of surgery (ΔSII), concentration of hypersensitive C-reactive protein (hs-CRP) at the end of surgery, postoperative mechanical ventilation time, and duration of intensive care unit stay. Pediatric patients were divided into PPCs group and non-PPCs group based on the development of PPCs. Logistic regression analysis was used to determine the relationship between factors associated with intraoperative hypothermia and PPCs.Results:A total of 226 pediatric patients were included in the study, with 126 cases in PPCs group and 100 cases in non-PPCs group. The results of logistic regression analysis showed that pre-reperfusion hypothermia, duration of hypothermia, ΔSII and concentrations of hs-CRP at the end of operation were independent risk factors for the occurrence of PPCs ( P<0.05). The area under the receiver operating characteristic curve of pre-reperfusion hypothermia and duration of hypothermia in predicting PPCs was 0.594 (95% confidence interval [ CI] 0.521-0.668, P=0.015) and 0.702 (95% CI 0.634-0.770, P<0.001), respectively. The area under the receiver operating characteristic curve of combination of factors associated with hypothermia (pre-reperfusion hypothermia, duration of hypothermia) and inflammatory indicators (ΔSII, plasma hs-CRP concentration at the end of surgery) in predicting PPCs was 0.977 (95% CI 0.959-0.995, P<0.001). Conclusions:Pre-reperfusion hypothermia and duration of hypothermia are independent risk factors for early PPCs in infants, and their predictive value for the development of PPCs is higher when combined with ΔSII and plasma hs-CRP concentration in pediatric patients undergoing LDLT.

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 trajectory of disability acceptance and the factors influencing it in first stroke patients.Methods A total of 202 first-ever stroke patients admitted to Wenzhou Central Hospital from December 2022 to December 2023 were selected,low acceptance group(n=38),medium acceptance group(n=96),and high acceptance group(n=68)based on the trajectory of disability acceptance after discharge.Multivariate Logistic regression was applied to explore the factors affecting disability acceptance in first-episode stroke patients.Results The total score of acceptance of disability scale-revised(ADS-R)in stroke patients was(89.93±13.51)points.There were differences between three groups in terms of age,education level,family income,caregiver or no caregiver,severity of illness,medical social support scale(MOS-SSS)scores,herth hope index(HHI)scores,and patient health questionnaire depression scale-9 scores(P＜0.05).Multivariate Logistic regression analysis reveled that age(OR=12.419,95％CI:3.967-38.882),absence of caregiver(OR=5.793,95％CI:1.989-16.875),severity of the condition(OR=5.724,95％CI:1.927-16.999)were risk factors affecting disability acceptance in first-episode stroke patients(P＜0.05),while educational level(OR=0.207,95％CI:0.069-0.624),household income(OR=0.238,95％CI:0.079-0.712),and MOS-SSS score(OR=0.502,95％CI:0.303-0.832)were protective factors(P＜0.05).Conclusion There are three different trajectories of disability acceptance in first-episode stroke patients.Age,presence or absence of caregivers,severity of the condition,education level,household income,and MOS-SSS score are influencing factors of disability acceptance in first-episode stroke patients and can be used as predictive factors for disability acceptance trajectories.

Objective The core competence index system of nurses providing"internet+postpartum maternal and infant home care"service was constructed and preliminarily verified,so as to provide references for objective evaluation of their core competence.Methods Based on literature review and semi-structured interviews,the core competence index system of nurses in"internet+postpartum maternal and infant home care"service was initially constructed with the iceberg model as the theoretical framework.In April to May 2024,the indicators are organized and analyzed using the Delphi method to form a final indicator system.In December 2024,30 nurses providing"internet+postpartum maternal and infant home care"service in a tertiary A obstetrics and gynecology hospital in Hangzhou were selected as the survey subjects,and the index system was preliminarily verified by questionnaires.Results A total of 20 experts completed 2 rounds of correspondence.The authoritative coefficients of the 2 rounds of expert inquiry were 0.88 and 0.90,respectively;the Kendall coordination coefficients were 0.34 and 0.39,respectively(P＜0.001);the variation coefficients were 0～0.17 and 0.05～0.18,respectively.The final index system includes 3 first-class indicators,12 second-class indicators and 68 third-class indicators.The comprehensive,specialized,necessary,applicable,and overall satisfaction scores of the indicator system are(4.27±0.77)points,(4.43±0.56)points,(4.43±0.72)points,(4.47±0.56)points,and(4.46±0.56)points,respectively.Conclusion The core competence index system of nurses in"internet+postpartum maternal and infant home care"service is comprehensive,specialized,scientific and reliable,and can provide references for the training,assessment and evaluation of"internet+postpartum maternal and infant home care"talents.

Objective To explore the influencing factors of olfactory dysfunction in patients with Parkinson's disease(PD)and conduct a systematic review and Meta-analysis.Methods Articles on factors influencing olfactory dysfunction in PD were retrieved from databases including SinoMed,VIP,China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,Web of Science,PubMed,Cochrane,Embase,and MEDLINE.The search period spanned from the inception of each database to November 30,2024.Results A total of 13 articles(with a total sample size of 2465)were included,with a total of 18 influencing factors summarized as two themes:core features and progression factors of PD,and individual background and environmental interaction factors.Meta-analysis showed that age(MD=1.01,95％CI:-0.46-2.49,P=0.18),smoking(OR=0.88,95％CI:0.57-1.37,P=0.57),and constipation(OR=1.22,95％CI:0.38-3.93,P=0.74)were not factors affecting olfactory dysfunction in PD patients.Conclusion Factors influencing olfactory dysfunction in PD are predominantly associated with non-motor symptoms.Intervention strategies targeting non-motor symptoms(such as improving sleep quality,vitamin D supplementation,and early cognitive training)may provide novel approaches for delaying the progression of olfactory dysfunction.

Objective To investigate the protective effects of remimazolam(Remi),a novel benzodiazepine sedative,on intestinal barrier function in septic mice.Methods A mouse model of sepsis was established using cecal ligation and puncture(CLP).A total of 96 SPF-grade adult male C57BL/6 mice were randomized into sham operation(Sham),sepsis(Sepsis),and sepsis with Remi intervention(Sepsis+Remi)groups.Survival rate and survival time were recorded within 72 h after modeling.Intestinal pathological alterations,barrier functional indicators,ZO-1 expression,and macrophage polarization status were observed and detected to evaluate the effects of Remi.Lipopolysaccharide(LPS)was used to treat RAW264.7 cells for 24 h to simulate in vitro sepsis model.The cells were divided into control(Control),LPS,and LPS+Remi groups.Immunofluorescence staining was performed to assess macrophage phenotype,mitochondrial morphology,and mitochondrial reactive oxygen species(MtROS),and Western blotting was applied to detect the protein expression of iNOS and CD206.Results Compared with the sepsis group,Remi intervention significantly improved the survival rate of septic mice from 12.50%to 68.75%and markedly prolonged survival duration(P<0.05).Histopathological analysis demonstrated partial restoration of intestinal villus architecture,accompanied with attenuated interstitial edema and reduced inflammatory cell infiltration after Remi intervention.Furthermore,the intervention group demonstrated significant improvement in functional indicators.Both in vivo and in vitro experiments demonstrated elevated iNOS and decreased CD206 expression in the septic mice and LPS-stimulated macrophages(P<0.05),which were partially reversed after Remi intervention.Furthermore,LPS-stimulated macrophages exhibited fragmented mitochondria and elevated MtROS level,whereas Remi intervention ameliorated these conditions(P<0.05).Conclusion Remi protects intestinal barrier function in septic mice by mitigating mitochondrial dynamics imbalance-induced oxidative damage and ameliorating inflammatory macrophage activation.

Objective:To explore the clinical characteristics of neonatal necrotizing enterocolitis（NEC）and analyze the risk factors for early-onset NEC.Methods:A total of 220 children with NEC admitted to the Department of Pediatrics，Tianjin Medical University General Hospital from January 1st，2018 to February 29th，2024 were retrospectively selected as the research objects. According to the time of onset，the early-onset group（ n=120）and the late-onset group（ n=100）were established，and the clinical characteristics of the two groups were compared. Another 150 cases of normal healthy newborns born in this hospital in the same period were selected as the control group，and the clinical data of the control group were collected. The clinical characteristics of the early-onset group and the control group were compared，and the risk factors of early-onset NEC were analyzed by multivariate Logistic regression. Results:Compared with the late-onset group，the early-onset group had fever［50.0%（60/120）vs. 40%（40/100）， χ2=7.333， P=0.007］，apnea［39.17%（47/120）vs. 28%（28/100）， χ2=7.568， P=0.006］，no rise in body temperature［56.67%（68/120）vs. 39%（39/100）， χ2=6.815， P=0.009］，abdominal distension［25%（30/120）vs. 40%（40/100）， χ2=13.200， P<0.001］，vomiting［30.83%（37/120）vs. 45%（45/100）， χ2=12.797， P<0.001］was significantly different（all P<0.05）；Multivariate Logistic regression analysis：weight<1 500 g（ OR=5.871，95% CI：3.153～9.673， P<0.001），gestational age<30 weeks（ OR=4.256，95% CI：2.641～7.896， P=0.007），hemodynamically significant patent ductus arteriosus（hs-PDA）（ OR=3.113，95% CI：1.865～5.133， P=0.033），severe anemia（ OR=3.057，95% CI：2.165～4.802， P=0.001），feeding intolerance（ OR=4.215，95% CI：1.579～10.802， P=0.005），amniotic fluid pollution（ OR=2.452，95% CI：1.579～3.111， P<0.001）were the independent risk factors for early-onset NEC（all P<0.05）. Conclusion:Weight<1 500 g，gestational age<30 weeks，hs-PDA，severe anemia，feeding intolerance，and amniotic fluid contamination are independent risk factors for early-onset NEC. In clinical practice，more attention should be paid to these factors for disease prevention，early identification，and timely intervention in newborns to reduce the occurrence of NEC.

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.