The transcriptome sequencing based on Illumina Novaseq 6000 Platform was performed with the untreated seed embryo(DS), stratified seed embryo(SS), and germinated seed embryo(GS) of Zanthoxylum nitidum, aiming to explore the molecular mechanism regulating the seed dormancy and germination of Z. nitidum and uncover key differentially expressed genes(DEGs). A total of 61.41 Gb clean data was obtained, and 86 386 unigenes with an average length of 773.49 bp were assembled. A total of 29 290 DEGs were screened from three comparison groups(SS vs DS, GS vs SS, and GS vs DS), and these genes were annotated on 134 Kyoto Encyclopedia of Genes and Genomes(KEGG) pathways. KEGG enrichment analysis revealed that the plant hormone signal transduction pathway is the richest pathway, containing 226 DEGs. Among all DEGs, 894 transcription factors were identified, which were distributed across 34 transcription factor families. These transcription factors were also mainly concentrated in plant hormone signal transduction and mitogen-activated protein kinase(MAPK) signaling pathways. Further real-time quantitative polymerase chain reaction(RT-qPCR) validation of 12 DEGs showed that the transcriptome data is reliable. During the process of seed dormancy release and germination, a large number of DEGs involved in polysaccharide degradation, protein synthesis, lipid metabolism, and hormone signal transduction were expressed. These genes were involved in multiple metabolic pathways, forming a complex regulatory network for dormancy and germination. This study lays a solid foundation for analyzing the molecular mechanisms of seed dormancy and germination of Z. nitidum.
Zanthoxylum/metabolism* ; Plant Dormancy/genetics* ; Seeds/metabolism* ; Gene Expression Regulation, Plant ; Plant Proteins/metabolism* ; Transcriptome ; Gene Expression Profiling ; Germination ; Transcription Factors/metabolism* ; Plant Growth Regulators/genetics* ; Signal Transduction

Because of the unclear active substances, metabolic pathways, and targets of new drugs of traditional Chinese medicine(TCM), non-clinical safety evaluation often fails to accurately locate the target organs and tissue exposed to medicinal toxicity. The human use experience(HUE) contains important safety information of TCM, while the clinical safety data in the past HUE are few and have not been effectively applied. Standardized prospective HUE studies should be carried out to collect the clinical safety data, in which appropriate physical and chemical indicators(including blood, urine, and stool routine), liver biochemical indicators, kidney biochemical indicators, and cardiovascular biochemical indicators should be selected for safety evaluation, and the detection time point and sample size should be rationally designed. Importance should be attached to the observation of symptoms and signs of adverse events/reactions in patients as well as the safety information of special groups such as the elderly, children, and pregnant women. The adverse events of TCM should be observed, judged, and treated according to the theory and the diagnosis and treatment mode of TCM. The clinical safety information about the HUE should be comprehensively collected for new drugs of TCM to make up for the lack of extrapolation of toxicological test results to humans. The unique advantages of clinical origin of new drugs of TCM should be given full play for cross-reference of the results of toxicological research and the conclusions of HUE safety evaluation. In addition, benefit-risk assessment should be conducted based on HUE, and a panoramic safety evaluation system characterized by macro and micro combination and in line with the characteristics of TCM should be established to improve the success rate in the research and development of new drugs of TCM.
Humans ; Drugs, Chinese Herbal/adverse effects* ; Medicine, Chinese Traditional/adverse effects* ; Drug-Related Side Effects and Adverse Reactions ; Female

Traditional Chinese medicine(TCM) solid waste is characterized by widespread availability, renewability, and substantial production volume. In the context of the "dual carbon" goals, the pyrolysis of TCM solid waste for producing fuel gas for recycling in pharmaceutical production has emerged as a crucial strategy for optimizing the energy structure in the TCM industry and developing renewable energy. This paper comprehensively reviews both internal and external factors that influence the pyrolysis of TCM solid waste. Internal factors encompass moisture content, particle size, ash content, and the morphology of the raw materials, while external factors include pyrolysis conditions, equivalence ratios, types of gasifiers, and gasifying agents. Furthermore, this paper details the challenges associated with the pyrolysis of TCM solid waste, such as the dispersion of feedstocks, the diversity of resources, the complexity of the pyrolysis process, and the variations in gasifier performance. Finally, this paper proposes measures to address these challenges. This paper aims to provide insights into the development of a circular economy for TCM resources and the advancement of low-carbon energy utilization in the TCM industry.
Pyrolysis ; Carbon/chemistry* ; Medicine, Chinese Traditional ; Solid Waste/analysis* ; Drugs, Chinese Herbal/chemistry* ; Gases/chemistry*

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

This study investigates the pharmacokinetics and metabolic characteristics of three marine-derived piericidins as potential drug leads for kidney disease: piericidin A (PA) and its two glycosides (GPAs), glucopiericidin A (GPA) and 13-hydroxyglucopiericidin A (13-OH-GPA). The research aims to facilitate lead selection and optimization for developing a viable preclinical candidate. Rapid absorption of PA and GPAs in mice was observed, characterized by short half-lives and low bioavailability. Glycosides and hydroxyl groups significantly enhanced the absorption rate (13-OH-GPA > GPA > PA). PA and GPAs exhibited metabolic instability in liver microsomes due to Cytochrome P450 enzymes (CYPs) and uridine diphosphoglucuronosyl transferases (UGTs). Glucuronidation emerged as the primary metabolic pathway, with UGT1A7, UGT1A8, UGT1A9, and UGT1A10 demonstrating high elimination rates (30%-70%) for PA and GPAs. This rapid glucuronidation may contribute to the low bioavailability of GPAs. Despite its low bioavailability (2.69%), 13-OH-GPA showed higher kidney distribution (19.8%) compared to PA (10.0%) and GPA (7.3%), suggesting enhanced biological efficacy in kidney diseases. Modifying the C-13 hydroxyl group appears to be a promising approach to improve bioavailability. In conclusion, this study provides valuable metabolic insights for the development and optimization of marine-derived piericidins as potential drug leads for kidney disease.
Animals ; Male ; Mice ; Aquatic Organisms/chemistry* ; Biological Availability ; Cytochrome P-450 Enzyme System/metabolism* ; Glucuronosyltransferase/metabolism* ; Microsomes, Liver/metabolism* ; Molecular Structure ; Biological Products/pharmacokinetics* ; Pyridines/pharmacokinetics*

Objective To investigate the factors influencing the prognosis of complex intracranial aneurysms treated with pipeline flow-directed device(PED)and to develop a nomogram prediction model.Methods The clinical data of a total of 98 patients with complex intracranial aneurysm,who were admitted to the Anyue County People's Hospital or the Second Affiliated Hospital of Guilin Medical College of China from January 2021 to April 2023 to receive PED treatment,were retrospectively analyzed.The influencing factors that might affect the prognosis of patients with complex intracranial aneurysm were collected.According to the modified Rankin Scale(mRS)score,the patients were divided into good prognosis group(being defined as mRS ≤2 points)and poor prognosis group(being defined as mRS＞2 points).The clinical data were compared between the two groups,and a nomogram model was established and validated.Results In the 98 patients,poor prognosis was seen in 10(10.20％).The differences in age,history of hypertension,history of diabetes mellitus,clopidogrel resistance,Fisher classification,repeated aneurysm rupture,aneurysm location,aneurysm size,aneurysm neck,multiple lesions,and Hunt-Hess grade on admission between good prognosis group and poor prognosis group were statistically significant(all P＜0.05).Multivariate analysis revealed that history of hypertension,clopidogrel resistance,repeated aneurysm rupture,aneurysm location,multiple lesions,and Hunt-Hess grade were the independent factors influencing the prognosis of patients with complex intracranial aneurysm after receiving PED treatment.The AUC of the nomogram model in predicting the prognosis of PED for complex intracranial aneurysms was 0.849(95％CI=0.758-0.939).The predicted curves of the model group and validation group were basically fitted to the standard curves.The results of the decision curve analysis showed that the net benefit to patients was greater than 0 when the probability threshold of the nomogram model for predicting a poor prognosis of PED for complex intracranial aneurysms was 0.10-0.90.Conclusion The factors causing poor prognosis of PED for complex intracranial aneurysms mainly include history of hypertension,clopidogrel resistance,repeated aneurysm rupture,etc.The nomogram model established in this study can predict the risk of poor prognosis in patients with complicated intracranial aneurysm after receiving PED treatment.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective:To analyze the prognostic factors of children with septic shock in the pediatric intensive care unit.Methods:The clinical data of children diagnosed with septic shock in the pediatric intensive care unit of Guiyang Maternal and Child Health Hospital from April 2018 to April 2022 were retrospectively collected,and the children were divided into the death group and the survival group according to seven days regression.The basic data of the two groups were statistically compared，and the relationship between lactic acid，vasoactive-inotropic score one hour after admission，time of antibiotic initiation，serum potassium，serum sodium，serum calcium，serum troponin T，fluid resuscitation volume in the first hour，glutamyl aminotransferase，creatinine，total leukocyte count，C-reaction protein，brain natriuretic peptide were compared.The risk factors affecting the death of children were analyzed by Logistic regression.The relationship between fluid resuscitation volume in the first hour and prognosis was analyzed using the receiver operator characteristic (ROC) curve.Results:（1）A total of 67 children were included，19 died and 48 survived.（2）The first-hour liquid resuscitation dose in the survival group was lower than that in the death group，and the difference was statistically significant（ P<0.05）.（3）The ROC curve showed that the optimal cut-off of the first-hour liquid resuscitation dose was 25 mL/kg，with a sensitivity of 57.9% and a specificity of 72.9%.（4）In unifactorial analysis，lactic acid in the first hour of admission，early lactic acid after resuscitation，serum calcium，serum troponin T，alanine aminotransferase，combined septic encephalopathy，Glasgow coma score，and pediatric critical illness score were all risk factors for death in children within seven days（ P<0.05）.(5) Multivariate Logistic regression analysis showed that serum calcium（ OR=1.435， P=0.001）and lactic acid value after resuscitation（ OR=0.040， P=0.021）were independent risk factors for death in septic shock. Conclusion:The higher the total fluid resuscitation in the first hour，the higher the fatality rate.Serum calcium and early lactic acid after resuscitation are independent risk factors for death in children within seven days.

Objective:This study aimed to evaluate the efficacy and safety of venetoclax (VEN) combined with hypomethylating agents (HMA) in the treatment of higher-risk myelodysplastic syndromes (HR-MDS) and analyze the factors influencing their therapeutic effect.Methods:The clinical data of 83 patients with HR-MDS who were diagnosed at the First Affiliated Hospital of Zhengzhou University between November 2019 and May 2023 were retrospectively analyzed. All patients were treated with VEN combined with HMA. The Kaplan-Meier method was used to depict the survival curves, and the log-rank test was used to compare survival between the groups.Results:The median age was 57 (15-82) years old, and 51 patients (61.4%) were male. Forty-five patients (54.2%) were initially treated with HMA, 23 (27.7%) received ≤4 cycles of HMA, and 15 (18.1%) demonstrated HMA failure. At the median follow-up of 10.3 (0.6-34.4) months, the overall response rate (ORR) was 62.7% (52/83), including 18 patients (21.7%) with a complete response (CR), 14 (16.9%) with a bone marrow CR (mCR) with hematological improvement, and 20 (24.1%) with a mCR. The ORR of patients with initial treatment, ≤4 HMA cycles, and HMA failure were 66.7%, 60.9%, and 53.3%, respectively ( P=0.641). The median overall survival time was 14.6 (95% CI 7.2-22.0) months, and the median progression-free survival time was 8.9 (95% CI 6.7-11.1) months. The multivariate analysis showed that serum alkaline phosphatase (ALP) ≥90 U/L (OR=14.574, 95% CI 3.036-69.951, P=0.001), TP53 mutation ( OR=13.052, 95% CI 1.982-85.932, P=0.008), and U2AF1 mutation ( OR=7.720, 95% CI 1.540-38.698, P=0.013) were independent risk factors for poor efficacy of VEN combined with HMA. Hematological toxicity occurred in all patients, and the incidence of treatment-induced grade 3-4 leukopenia was 48.2% (40/83). Infection was the most common non-hematological adverse event, mainly pulmonary infection (31.3%) . Conclusion:VEN combined with HMA had a high response rate in patients with HR-MDS, both at initial treatment and with HMA failure. ALP ≥ 90 U/L, TP53 mutation, and U2AF1 mutation were independent risk factors for non-response to treatment.