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 molecular mechanism of weak D phenotype in a Chinese family. METHODS: Routine Rh typing tests were performed first, and RHD exons 1-10 of the proband and his family members were sequenced by first-generation sequencing. RHD zygosity was also determined. Third-generation sequencing was used to analyze the haplotypes of the RHD gene. RESULTS: The proband showed a weak D serological phenotype. First-generation sequencing revealed a c.787G>A point mutation in exon 5. The family pedigree investigation showed that the proband and his younger sister had the same serological phenotype and molecular mechanism. His father carried this gene mutation, while his mother and younger brother were normal. Hybrid box was not detected, suggesting that all the family members did not have a haplotype with a complete deletion of the RHD gene. The results of third-generation sequencing showed that the proband and his sister inherited the weak D allele from their father and the non-functional allele RHD -CE(3-9)-D from their mother, respectively. CONCLUSION Third-generation sequencing technology enables haplotype analysis of the RHD gene and can detect complex genotypes such as genetic exchanges between RHD and RHCE combined with other mutations.
Female ; Humans ; Male ; Alleles ; Exons ; Genotype ; Haplotypes ; High-Throughput Nucleotide Sequencing ; Pedigree ; Phenotype ; Rh-Hr Blood-Group System/genetics* ; East Asian People/genetics*

Diabetic kidney disease(DKD)is a microvascular complication of diabetes mellitus with a complex pathogenesis.Recent studies have revealed that autophagy and ferroptosis,as two forms of programmed cell death,exhibit dynamic interactions in DKD:autophagy maintains homeostasis by eliminating damaged organelles,while ferroptosis is driven by iron-dependent lipid peroxidation.Imbalance between the two exacerbates renal injury.This review systematically summarizes the signaling pathways and key regulatory factors related to autophagy and ferroptosis,as well as their interaction mechanisms[such as nuclear receptor coactivator 4(NCOA4)-mediated ferritinophagy,clock autophagy,and lipid autophagy].It further elaborates the molecular network by which these processes synergistically regulate DKD progression.Additionally,the potential of modern pharmaceuticals and active components of traditional Chinese medicine to improve kidney injury by targeting autophagy and ferroptosis is discussed,proposing that targeting their cross-talk pathways may provide novel therapeutic strategies for DKD,aiming to lay a theoretical foundation for the development of targeted intervention strategies and precision therapeutic regimens.

Objective: This cross-sectional investigation aimed to determine the incidence, clinical characteristics, prognosis, and related risk factors of olfactory and gustatory dysfunctions related to infection with the SARS-CoV-2 Omicron strain in mainland China. Methods: Data of patients with SARS-CoV-2 from December 28, 2022, to February 21, 2023, were collected through online and offline questionnaires from 45 tertiary hospitals and one center for disease control and prevention in mainland China. The questionnaire included demographic information, previous health history, smoking and alcohol drinking, SARS-CoV-2 vaccination, olfactory and gustatory function before and after infection, other symptoms after infection, as well as the duration and improvement of olfactory and gustatory dysfunction. The self-reported olfactory and gustatory functions of patients were evaluated using the Olfactory VAS scale and Gustatory VAS scale. Results: A total of 35 566 valid questionnaires were obtained, revealing a high incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain (67.75%). Females(χ2=367.013, P<0.001) and young people(χ2=120.210, P<0.001) were more likely to develop these dysfunctions. Gender(OR=1.564, 95%CI: 1.487-1.645), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), oral health status (OR=0.881, 95%CI: 0.839-0.926), smoking history (OR=1.152, 95%CI=1.080-1.229), and drinking history (OR=0.854, 95%CI: 0.785-0.928) were correlated with the occurrence of olfactory and taste dysfunctions related to SARS-CoV-2(above P<0.001). 44.62% (4 391/9 840) of the patients who had not recovered their sense of smell and taste also suffered from nasal congestion, runny nose, and 32.62% (3 210/9 840) suffered from dry mouth and sore throat. The improvement of olfactory and taste functions was correlated with the persistence of accompanying symptoms(χ2=10.873, P=0.001). The average score of olfactory and taste VAS scale was 8.41 and 8.51 respectively before SARS-CoV-2 infection, but decreased to3.69 and 4.29 respectively after SARS-CoV-2 infection, and recovered to 5.83and 6.55 respectively at the time of the survey. The median duration of olfactory and gustatory dysfunctions was 15 days and 12 days, respectively, with 0.5% (121/24 096) of patients experiencing these dysfunctions for more than 28 days. The overall self-reported improvement rate of smell and taste dysfunctions was 59.16% (14 256/24 096). Gender(OR=0.893, 95%CI: 0.839-0.951), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), history of head and facial trauma(OR=1.180, 95%CI: 1.036-1.344, P=0.013), nose (OR=1.104, 95%CI: 1.042-1.171, P=0.001) and oral (OR=1.162, 95%CI: 1.096-1.233) health status, smoking history(OR=0.765, 95%CI: 0.709-0.825), and the persistence of accompanying symptoms (OR=0.359, 95%CI: 0.332-0.388) were correlated with the recovery of olfactory and taste dysfunctions related to SARS-CoV-2 (above P<0.001 except for the indicated values). Conclusion: The incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain is high in mainland China, with females and young people more likely to develop these dysfunctions. Active and effective intervention measures may be required for cases that persist for a long time. The recovery of olfactory and taste functions is influenced by several factors, including gender, SARS-CoV-2 vaccination status, history of head and facial trauma, nasal and oral health status, smoking history, and persistence of accompanying symptoms.
Female ; Humans ; Adolescent ; SARS-CoV-2 ; Smell ; COVID-19/complications* ; Cross-Sectional Studies ; COVID-19 Vaccines ; Incidence ; Olfaction Disorders/etiology* ; Taste Disorders/etiology* ; Prognosis

This study aims to explore the mechanism of Yanghe Decoction(YHD) against subcutaneous tumor in pulmonary metastasis from breast cancer, which is expected to lay a basis for the treatment of breast carcinoma with YHD. The chemical components of medicinals in YHD, and the targets of the components were retrieved from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) and SwissTargetPrediction. The disease-related targets were searched from GeneCards and Online Mendelian Inheritance in Man(OMIM). Excel was employed to screen the common targets and plot the Venn diagram. The protein-protein interaction network was constructed. R language was used for Gene Ontology(GO) term enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment. A total of 53 female SPF Bablc/6 mice were randomized into normal group(same volume of normal saline, ig), model group(same volume of normal saline, ig), and low-dose and high-dose YHD groups(YHD, ig, 30 days), with 8 mice in normal group and 15 mice in each of the other groups. Body weight and tumor size was measured every day. Curves for body weight variation and growth of tumor in situ were plotted. In the end, the subcutaneous tumor sample was collected and observed based on hematoxylin and eosin(HE) staining. The mRNA and protein levels of hypoxia inducible factor-1α(HIF-1α), pyruvate kinase M2(PKM2), lactate dehydrogenase A(LDHA), and glucose transporter type 1(GLUT1) were detected by PCR and Western blot. A total of 213 active components of YHD and 185 targets against the disease were screened out. The hypothesis that YHD may regulate glycolysis through HIF-1α signaling pathway to intervene in breast cancer was proposed. Animal experiment confirmed that the mRNA and protein levels of HIF-1α, PKM2, LDHA, and GLUT1 in the high-and low-dose YHD groups were lower than those in the model group. YHD has certain inhibitory effect on subcutaneous tumor in pulmonary metastasis from breast cancer in the early stage, which may intervene pulmonary metastasis from breast cancer by regulating glycolysis through HIF-1α signaling pathway.
Female ; Mice ; Animals ; Glucose Transporter Type 1/genetics* ; Network Pharmacology ; Animal Experimentation ; Saline Solution ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional ; Signal Transduction ; Glycolysis ; RNA, Messenger ; Neoplasms/drug therapy* ; Molecular Docking Simulation

OBJECTIVE: To investigate the causes of ineffectiveness of platelet transfusion with monoclonal antibody solid phase platelet antibody test (MASPAT) matching in patients with allogeneic hematopoietic stem cell transplantation and explore the strategies of platelet transfusion. METHODS: A case of donor-specific HLA antibodies (DSA) induced by transfusion which ultimately resulted in transplantation failure and ineffective platelet transfusion with MASPAT matching was selected, and the causes of ineffective platelet transfusion and platelet transfusion strategy were retrospectively analyzed. RESULTS: The 32-year-old female patient was diagnosed as acute myeloid leukemia (high risk) in another hospital with the main symptoms of fever and leukopenia, who should be admitted for hematopoietic stem cell transplantation after remission by chemotherapy. In the course of chemotherapy, DSA was generated due to platelet transfusion, and had HLA gene loci incompatible with the donor of the first transplant, leading to the failure of the first transplant. The patient received platelet transfusion for several times before and after transplantation, and the results showed that the effective rate of MASPAT matched platelet transfusion was only 35.3%. Further analysis showed that the reason for the ineffective platelet transfusion was due to the missed detection of antibodies by MASPAT method. During the second hematopoietic stem cell transplantation, the DSA-negative donor was selected, and the matching platelets but ineffective transfusion during the primary transplantation were avoided. Finally, the patient was successfully transplanted and discharged from hospital. CONCLUSIONS DSA can cause graft failure or render the graft ineffective. For the platelet transfusion of patients with DSA, the platelet transfusion strategy with matching type only using MASPAT method will miss the detection of antibodies, resulting in invalid platelet transfusion.
Female ; Humans ; Adult ; Platelet Transfusion ; Antibodies, Monoclonal ; Retrospective Studies ; HLA Antigens ; Hematopoietic Stem Cell Transplantation

Blood loss and blood transfusion requirement are important quality control indicators of cardiovascular surgery and cardiovascular anesthesia. Patient blood management (PBM) is an evidence-based, multidisciplinary approach to optimizing the care of patients who may need transfusion, which encompasses anemia management, hemodilution, cell salvage, hemostatic treatment, and other approaches to reducing bleeding and minimizing blood transfusion. PBM in cardiovascular surgery is a "team sport" that involves cardiac and vascular surgeons, anesthesiologists, perfusionist, intensivists, and other health care providers. The current work provides an overview of evidence and practice of PBM at Fuwai Hospital. Implementation of PBM should also take local resource availability and cost-effectiveness of different devices, drugs, technologies, and techniques into consideration.
Humans ; Blood Transfusion/methods* ; Anemia/therapy* ; Hemorrhage ; Hospitals ; Blood Loss, Surgical

OBJECTIVES: To study the value of bedside echocardiography in predicting persistent patency of the ductus arteriosus during the early postnatal period in very low birth weight (VLBW) infants. METHODS: A retrospective analysis was performed for 51 VLBW infants who were admitted from March 2020 to June 2021, with an age of ≤3 days and a length of hospital stay of ≥14 days. According to the diameter of patent ductus arteriosus (PDA) on days 14 and 28 after birth, the infants were divided into three groups: large PDA group (PDA diameter ≥2 mm), small PDA group (PDA diameter <2 mm), and PDA closure group (PDA diameter =0 mm). The echocardiographic parameters measured at 72 hours after birth were compared among the three groups. The receiver operating characteristic (ROC) curve was used to evaluate the value of the echocardiographic parameters in predicting persistent patency of the ductus arteriosus (PDA≥2 mm) at the ages of 14 and 28 days. RESULTS: On day 14 after birth, there were 17 infants in the large PDA group, 11 in the small PDA group, and 23 in the PDA closure group. On day 28 after birth, there were 14 infants in the large PDA group, 9 in the small PDA group, and 26 in the PDA closure group. There were significant differences in gestational age, birth weight, rate of pulmonary surfactant use, and incidence rate of hypotension among the three groups (P<0.05). PDA diameter, end-diastolic velocity of the left pulmonary artery, left ventricular output, and left ventricular output/superior vena cava flow ratio measured at 72 hours after birth were associated with persistent patency of the ductus arteriosus at the ages of 14 and 28 days (P<0.05), and the ratio of the left atrium to aorta diameter was associated with persistent patency of the ductus arteriosus at the age of 28 days (P<0.05). The ROC curve analysis showed that the area under the curve that the PDA diameter measured at 72 hours after birth predicting the persistent patency of the ductus arteriosus at the ages of 14 and 28 days was the largest (0.841 and 0.927 respectively), followed by end-diastolic velocity of the left pulmonary artery, with the area under the curve of 0.793 and 0.833 respectively. CONCLUSIONS The indicators obtained by beside echocardiography at 72 hours after birth, especially PDA diameter and end-diastolic velocity of the left pulmonary artery, can predict persistent patency of the ductus arteriosus at the ages of 14 and 28 days in VLBW infants, which provides a basis for the implementation of early targeted treatment strategy for PDA.
Ductus Arteriosus, Patent/diagnostic imaging* ; Echocardiography ; Humans ; Infant ; Infant, Newborn ; Infant, Very Low Birth Weight ; Retrospective Studies ; Vena Cava, Superior