As a patented characteristic medicine of Yi ethnic minority， Pingxuan capsules have the effects of nourishing the liver and kidney， pacifying the liver， and subduing Yang. With the main indications of dizziness， headache， palpitations， tinnitus， insomnia， dreaminess， waist and knee soreness caused by liver-kidney deficiency and liver Yang upward disturbance， Pingxuan capsules are widely used in the treatment of posterior circulation ischemic vertigo， vestibular migraine， benign paroxysmal positional vertigo. However， the current knowledge is limited regarding the efficacy， syndrome differentiation， and safety of this medicine. On the basis of summarizing the experience of clinicians and the existing evidence， this study invites clinical experts of traditional Chinese and Western medicine， pharmaceutical experts， and methodological experts from relevant fields across China to conduct evidence-based evaluation of Pingxuan capsules. The evaluation follows the Specifications for the Development of Clinical Expert Consensus on Chinese Patent Medicines issued by the Standardization Office of the China Association of Chinese Medicine， and reaches 5 recommendations and 16 consensus suggestions. The consensus clarifies the clinical applications， efficacy， dose， course of treatment， combination of medicines， precautions， and contraindications of Pingxuan capsules in the treatment of vertigo and explains the safety of clinical application. This consensus is applicable to clinicians （traditional Chinese medicine， Western medicine， and integrated traditional Chinese and Western medicine） and pharmacists in tertiary hospitals， secondary hospitals， and community-level medical and health institutions across China， providing a reference for the rational use of Pingxuan capsules in the treatment of vertigo. It is hoped that the promotion of this consensus can facilitate the rational use of drugs in clinical practice， reduce the risk of drug use， and give full play to the advantages of Pingxuan capsules in the treatment of vertigo diseases. This consensus has been reviewed and published by the China Association of Chinese Medicine， with the number GS/CACM330-2023.

Jiegengtang is a basic formula for treating sore throat and cough. By means of bibliometrics， this study conducted a textual research and analysis on the key information such as formula origin， decocting methods， and clinical application of Jiegengtang. After the research， it can be seen that Jiegengtang is firstly contained in Treatise on Febrile and Miscellaneous Disease， which is also known as Ganjietang， and it has been inherited and innovated by medical practitioners of various dynasties in later times. The origins of Chinese medicines in this formula is basically clear， Jiegeng is the dried roots of Platycodon grandiflorum， Gancao is the dried roots and rhizomes of Glycyrrhiza uralensis， the two medicines are selected raw products. The dosage is 27.60 g of Glycyrrhizae Radix et Rhizoma and 13.80 g of Platycodonis Radix， decocted with 600 mL of water to 200 mL， taken warmly after meals， twice a day， 100 mL for each time. In ancient times， Jiegengtang was mainly used for treating Shaoyin-heat invasion syndrome， with cough and sore throat as its core symptoms. In modern clinical practice， Jiegengtang is mainly used for respiratory diseases such as pharyngitis， esophagitis， tonsillitis and lung abscess， especially for pharyngitis and lung abscess with remarkable efficacy. This paper can provide literature reference basis for the modern clinical application and new drug development of Jiegengtang.

Jiegengtang is a basic formula for treating sore throat and cough. By means of bibliometrics， this study conducted a textual research and analysis on the key information such as formula origin， decocting methods， and clinical application of Jiegengtang. After the research， it can be seen that Jiegengtang is firstly contained in Treatise on Febrile and Miscellaneous Disease， which is also known as Ganjietang， and it has been inherited and innovated by medical practitioners of various dynasties in later times. The origins of Chinese medicines in this formula is basically clear， Jiegeng is the dried roots of Platycodon grandiflorum， Gancao is the dried roots and rhizomes of Glycyrrhiza uralensis， the two medicines are selected raw products. The dosage is 27.60 g of Glycyrrhizae Radix et Rhizoma and 13.80 g of Platycodonis Radix， decocted with 600 mL of water to 200 mL， taken warmly after meals， twice a day， 100 mL for each time. In ancient times， Jiegengtang was mainly used for treating Shaoyin-heat invasion syndrome， with cough and sore throat as its core symptoms. In modern clinical practice， Jiegengtang is mainly used for respiratory diseases such as pharyngitis， esophagitis， tonsillitis and lung abscess， especially for pharyngitis and lung abscess with remarkable efficacy. This paper can provide literature reference basis for the modern clinical application and new drug development of Jiegengtang.

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.

Jiegeng decoction is a classic prescription composed of two Chinese medicinal herbs： Platycodon grandiflorum and Glycyrrhiza uralensis. It has the efficacy of diffusing lung qi， resolving phlegm， relieving sore throat and discharging pus， and is commonly used in the treatment of respiratory diseases such as cough and pharyngodynia. This article reviews the chemical components， pharmacological mechanisms and clinical applications of Jiegeng decoction. It was found that Jiegeng decoction contains triterpenoid saponins， flavonoids， glycosides， acids， and other components， with platycodin D， platycodin D2， glycyrrhizic acid， glycyrrhetinic acid， liquiritin， etc.， serving as the main active pharmaceutical ingredients. Jiegeng decoction and its chemical constituents exert anti-inflammatory effects by inhibiting signaling pathways such as nuclear factor-κB and mitogen- activated protein kinases， and demonstrate anti-tumor activities through mechanisms like modulating the tumor immune microenvironment and promoting cancer cell apoptosis. Additionally， it exhibits various pharmacological actions including antibacterial， antiviral， and antioxidant effects. Clinically， Jiegeng decoction， its modified prescription and compound combinations are widely used in the treatment of respiratory diseases such as cough， pneumonia， and pharyngitis， as well as digestive system disorders like constipation.

Objective To analyze the values of renal resistance index(RRI),cystatin C(CysC),blood β2-microglobulin(β2-MG)and urinary N-acetyl-β-glucosamine glycosidase(NAG)in early prediction of contrast-induced acute kidney injury(CI-AKI).Methods A retrospective cohort analysis on 207 postoperative patients after intervention therapy was conducted.The patients were divided into AKI group(18 patients)and non-AKI group(189 patients)based on whether CI-AKI occurred.General and clinical data were collected and compared.Accord-ing to the time of diagnosis of AKI(D0 on the day of surgery or D1 on the first day after surgery),the AKI group was divided into AKI(D0)group and AKI(D1)group.Indicators RRI,CysC,and blood β2-MG,serum creatinine(sCr),and urinary NAG were compared between the two groups.The risk factors of CI-AKI were explored using logistic regression and linear regression.Results In the AKI group,males,preoperative sCr,acute physiological and chronic health(APACHⅡ)score and sequential organ failure(SOFA)score,surgical duratrion,sCr,CysC,blood β2-MG,urinary NAG on the day of surgery and the first day after surgery,and RRI were higher than those in the non-AKI group;Higher APACHEⅡ and SOFA scores and higher CysC level on D1 were independent risk factors for the occurrence of CI-AKI(P<0.05).Levels of CysC and urinay NAG on D0 were higher in the AKI(D0)group than in the AKI(D1)group(P<0.05).RRI,urinary NAG and blood β2-MG were not independent risk factors for CI-AKI.Conclusions CysC and urinary NAG are powerful predictors for the prediction of CI-AKI,and RRI and blood β2-MG cannot predict the occurrence of CI-AKI early.

OBJECTIVE To test and compare the median effective dose(ED50) of ciprofol for gastroscope in patients of different genders and ages. METHODS Patients who planed to undergo gastroscope examination and treatment from March 2023 to April 2023 were selected, and divided into four groups according to stratified random method: N1 group(non-elderly male patients), N2 group(non-elderly female patients), N3 group(elderly male patients), and N4 group(elderly female patients). All patients received intravenous injection of 0.1 μg·kg−1 sufentanil followed by injection of the test dose of ciprofol according to Dixon’s modified sequential method. Gastroscope was performed after the disappearance of the eyelash reflex. The initial dose of ciprofol in all four groups was 0.4 mg·kg−1, and the ratio of adjacent doses was 1∶1.1. The next patient would receive a 10% increase in the dose of ciprofol if the patient experienced positive reactions such as coughing, frowning, and body movements during the endoscopy process. Otherwise, it would be judged as a negative reaction, and the next patient would receive a 10% decrease in the dose of ciprofol. The transition from a positive reaction to a negative reaction was defined as a turning point, and the study was terminated when seven turning points occurred. Hemodynamic parameters, oxygen saturation and adverse reactions were recorded at different time points. The Probit regression analysis method was used to calculate the ED50 of ciprofol for four groups. RESULTS The ED50 of ciprofol combined with 0.1 μg·kg−1 sufentanil for gastroscope in the non-elderly men, non-elderly women, elderly men, and elderly women were 0.409, 0.373, 0.356, 0.327 mg·kg−1, respectively. The ED50 of ciprofol in the N1 group was significantly higher compared with the N2 group and N3 group(P<0.05). The ED50 of ciprofol in the N4 group was significantly lower compared with the N2 group and N3 group(P<0.05). CONCLUSION The ED50 of ciprofol is significantly different among gastroscope patients of different genders and ages, which is lower in female patients than in male patients, and is lower in older patients than in non-elderly patients.

Objective:To explore the potential genetic causes of unexplained neonatal encephalopathy.Methods:This retrospective study enrolled 113 infants diagnosed with unexplained neonatal encephalopathy and underwent genetic testing in the Children's Hospital of Hunan Province from January 2019 to May 2021. Perinatal data, clinical manifestations, electroencephalograph, brain MRI findings, genetic information, and prognosis of those patients were analyzed. T-test or Chi-square test were used for data analysis. Results:Of the 113 infants enrolled, 74 (65.5%) were males. The gestational age at birth was (38.6±1.5) weeks, and the birth weight was (2 957±561) g. The most common clinical manifestation was the disturbance of consciousness (83/113, 73.5%), followed by seizures (39/113, 34.5%). There were 38.2% (34/89) of the patients with abnormal brain MRI, and 80.4% (74/92) presented abnormal electroencephalography. Among the 113 infants, 60 (53.1%) had genetic abnormalities, including 48 with single nucleotide variations, eight with copy number variations, and four with chromosome abnormalities. Single nucleotide variations in the 48 patients were classified into syndromic ( n=18, 37.5%), metabolic ( n=16, 33.3%), epileptic ( n=11, 22.9%) and mitochondrial-related genes ( n=3, 6.3%), of which 14 were not included in any database. Among the 103 cases which were successfully followed up until December 31, 2021, 75 (72.8%) had a poor prognosis, including 52 (50.5%) death cases and 23 (22.3%) cases of development retardation. Birth weight and the incidence of seizures in the poor prognosis group were both lower than those in the non-poor prognosis group [(2 876±536) vs (3 254±554) g, t=3.15; 29.3% (22/75) vs 53.6% (15/28), χ2=5.20; both P<0.05], while the incidence of disturbance of consciousness was higher [80.0% (60/75) vs 53.6% (15/28), χ2=7.19, P<0.05]. The proportion of infants with genetic abnormalities in the poor prognosis group was higher than that in the non-poor prognosis group, but the difference was not statistically significant [53.3% (40/75) vs 46.4% (13/28), χ2=0.39, P=0.533]. Conclusions:Genetic abnormality is one of the leading causes of unexplained neonatal encephalopathy. Nucleotide variation is the most common genetic type. Syndromic, metabolic, and epileptic variants are frequently detected in these patients.