Fritillariae Cirrhosae Bulbus is the dried bulb of perennial herbaceous plants in the Fritillaria genus(Liliaceae family) and is a representative traditional Chinese medicinal material with distinctive regional characteristics. Clinically, it is widely used in the treatment of dry cough, bronchial asthma, and other respiratory diseases, possessing significant medicinal and economic value and being highly esteemed in TCM. Currently, Fritillariae Cirrhosae Bulbus primarily relies on wild harvesting. However, due to excessive collection, its wild resources have drastically declined, and all source species have been classified as category Ⅱ in the List of National Key Protected Wild Plants, exacerbating the supply-demand imbalance in the market. To mitigate this issue, large-scale cultivation through the domestication of wild Fritillariae Cirrhosae Bulbus has become an inevitable trend. However, its strict environmental requirements, low propagation efficiency, high seedling mortality, and immature cultivation techniques have severely hindered industrialization. This study investigates the domestication process of Fritillariae Cirrhosae Bulbus, focusing on seed propagation, seedling cultivation, and medicinal material production. It also reviews the species and distribution of wild resources, their endangered status, market supply-demand dynamics, and the historical and current development of domestication. The findings indicate that enhancing propagation efficiency, optimizing cultivation models, and distinguishing between seed propagation and medicinal material production are key measures to accelerate the industrialization of domesticated Fritillariae Cirrhosae Bulbus. This research aims to promote the industrialization of Fritillariae Cirrhosae Bulbus domestication and provide a reference model for the conservation and sustainable utilization of rare and endangered medicinal plant resources.
Fritillaria/chemistry* ; Endangered Species ; Plants, Medicinal/growth & development* ; Drugs, Chinese Herbal/economics* ; China

Homo- or heterodimeric compounds that affect dimeric protein function through interaction between monomeric moieties and protein subunits can serve as valuable sources of potent and selective drug candidates. Here, we screened an in-house dimeric natural product collection, and panepocyclinol A (PecA) emerged as a selective and potent STAT3 inhibitor with profound anti-tumor efficacy. Through cross-linking C712/C718 residues in separate STAT3 monomers with two distinct Michael receptors, PecA inhibits STAT3 DNA binding affinity and transcription activity. Molecular dynamics simulation reveals the key conformation changes of STAT3 dimers upon the di-covalent binding with PecA that abolishes its DNA interactions. Furthermore, PecA exhibits high efficacy against anaplastic large T cell lymphoma in vitro and in vivo, especially those with constitutively activated STAT3 or STAT3^Y640F. In summary, our study describes a distinct and effective di-covalent modification for the dimeric compound PecA to disrupt STAT3 function.

Objective To explore the risk factors for 28-day mortality of sepsis-associated acute kidney injury(SA-AKI)patients and to develop a nomogram risk prediction model.Methods A retrospective cohort study was conducted,involving 184 patients with SA-AKI admitted to the intensive care unit(ICU)of the 940th Hospital of Joint Logistic Support Force of PLA between January 2017 and December 2022.Patients were categorized into survival(n=135)and non-survival(n=49)groups based on 28-day mortality.Clinical data were collected,and statistically significant risk factors were preliminarily screened.Multivariate stepwise logistic regression analysis was performed to identify independent risk factors for 28-day mortality of SA-AKI patients.A nomogram predictive model was constructed using these factors,and internally validated with the Bootstrap method.The receiver operating characteristic curve(ROC curve)was drawn,and the area under the ROC curve(AUC)was calculated to verify the predictive value and accuracy of the model.Results The 28-day mortality rate among 184 SA-AKI patients was 26.6％(49/184).Multivariate stepwise logistic regression analysis identified multiple organ dysfunction syndrome(MODS)(OR=16.393,95％CI 4.317-62.254,P＜0.001),high acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(OR=1.097,95％CI 1.036-1.161,P=0.002),low oxygenation index(OR=0.992,95％CI 0.986-0.998,P=0.015),low neutrophil count(OR=0.912,95％CI 0.860-0.968,P=0.002)and low fibrinogen concentration(OR=0.733,95％CI 0.549-0.978,P=0.034)as independent risk factors.The prediction model equation was P=1/1+e-logit(P),logit(P)=-1.626+2.797×MODS+0.092×AP ACHE Ⅱ+(-0.311)×fibrinogen+(-0.092)×neutrophil count+(-0.008)×oxygenation index.Internal validation with 1000 Bootstrap resamples showed high consistency between predicted and actual values.ROC analysis showed an AUC of 0.911(95％CI 0.868-0.955,P＜0.05)for the model,with 93.9％sensitivity and 78.5％specificity at a cut-off of 0.194.The Hosmer-Lemeshow test confirmed good calibration(P=0.62),and decision-making curve analysis demonstrated clinical utility within the high-risk threshold range(0.1-0.9).Conclusions MODS,high APACHE Ⅱ score,low oxygenation index,low neutrophil count,and low fibrinogen concentration are independent risk factors for 28-day mortality in SA-AKI patients.The developed nomogram risk prediction model may provide important guidance for predicting 28-day mortality in SA-AKI patients.

Objective To utilize single-cell and peripheral blood transcriptomic data from 3D brain organoids,combined with machine learning,to analyze the role of mitochondrial autophagy genes in schizophrenia(SCZ).Methods By integrating two machine learning algorithms,we identified differentially expressed mitochondrial autophagy-related genes between schizophrenia patients and healthy controls using peripheral blood RNA sequencing data.The relationship between mitophagy gene,immune cells and inflammatory factors was further explored.Comprehensive single-cell analysis was used to explore the signaling pathways and specific transcription factors based on mitophagy genes.Results Using machine learning,seven key mitophagy genes expressed in schizophrenia patients were identified.Based on Mitoscore analysis,at the single-cell level,neurons with high mitochondrial autophagy activity(Mitohigh_Neuron)formed new interactions with endothelial cells via the SPP1 signaling pathway.Conclusion This study identified two subtypes of mitophagy and seven key mitophagy genes in schizophrenia,providing new insights into the pathogenesis of the disease.

italic>Lamiophlomis rotata is an important medicinal plant species endemic to the Tibetan Plateau, which is prone to strong climate change impacts on its habitable range due to the high sensitivity of the Tibetan Plateau to climate change. Accurate quantification of species vulnerability to climate change is essential for assessing species extinction risk and developing effective conservation strategies. Therefore, we carried out the α-shape analysis to determine the habitat of L. rotata. We then carried out the climate-niche factor analysis (CNFA) to assess the vulnerability of L. rotata to climate change based on five climate variables (i.e., mean diurnal range, temperature seasonality, mean temperature of warmest quarter, precipitation of driest month and precipitation of warmest quarter) in the context of two shared socioeconomic pathways (i.e., SSP126 and SSP585) and three global climate models (CMCC-ESM2: Centro Euro-Mediterraneo sui Cambiamenti Climatici-Earth System Model version 2; HadGEM3-GC31-LL: Hadley Global Environment Model version 3-Global Coupled configuration 3.1; IPSL-CM6A-LR: Institut Pierre Simon Laplace-Climate Model version 6) during two different periods (2041-2060 and 2081-2100). The vulnerability of L. rotata to climate change was calculated by integrating the sensitivity and exposure indices of L. rotata to five climate variables. The results showed that L. rotata had the highest vulnerability to the precipitation of warmest quarter. Its vulnerability within its habitat range generally showed a spatial pattern of high value in the southern region and low in the northern region, high in the western region and low in the eastern region. In general, the vulnerability of L. rotata under the SSP585 scenario was higher than that under the SSP126 scenario. The climate data of different global climate models have some influence on the results, while the resulted uncertainty can be reduced by data integration methods. As a result of climate change, the pressure on the survival of L. rotata in the future will be intensified in the low-altitude areas such as the Yarlung Zangbo River, Yigongzangbu River, Zayu River, and Jiaomuzu River, etc., while the highly weathered scree flats or stony alpine meadows in the high-altitude zones, such as the eastern Tanggula Mountain Range, the northern part of Hengduan Mountain Range, and the western part of the Qinling Mountains, may become its refuge. It is necessary to focus on and strengthen the protection and management of L. rotata resources in these vulnerble and critical areas.

Objective:To investigate the clinical efficacy of 595-nm pulsed dye laser (PDL) in the treatment of port-wine stains (PWS) in infants and toddlers.Methods:A retrospective analysis was conducted based on clinical data from 155 infants and toddlers with PWS treated with 595-nm PDL at West China Hospital of Sichuan University from January 2013 to October 2023, and the efficacy was evaluated according to pre- and post-treatment photographs. The children were grouped according to gender, age, lesion color, lesion area, lesion sites, and number of treatment sessions, separately, and the differences were analyzed between different groups. Further analysis was conducted to determine factors affecting efficacy of PDL for PWS. Adverse reactions after treatment were recorded. The Mann-Whitney U test and Kruskal-Wallis H test were used to analyze unidirectional ordered R × C contingency table data, the Bonferroni approach was used for multiple comparisons, and multivariate ordered logistic regression analysis was performed for multifactorial analysis. Results:After the treatment with 595-nm PDL, 135 infants and toddlers with PWS showed good response, with an overall response rate of 87.1%. Univariate analysis indicated that the efficacy was associated with the lesion area ( P = 0.016) and the number of treatment sessions ( P < 0.001), but not with age ( P = 0.340), gender ( P = 0.164), lesion color ( P = 0.530), or lesion sites ( P = 0.077), and the smaller the lesion area, the more the treatment sessions, the better the therapeutic effect. Multivariate ordered logistic regression analysis further confirmed the correlations of efficacy with lesion area ( P = 0.010) and number of treatment sessions ( P < 0.001). Adverse reactions occurred in 5 (3.2%) cases of PWS, including 2 (1.3%) of hypopigmentation, 2 (1.3%) of hyperpigmentation, and 1 (0.6%) of scar formation. Conclusion:The 595-nm PDL was safe and effective for the treatment of PWS in infants and toddlers with few adverse reactions, making it a reliable therapeutic option.

Programmed cell death 1 ligand 1 (PD-L1) is an important immunosuppressive molecule, which inhibits the function of T cells and other immune cells by binding to the receptor programmed cell death-1. The PD-L1 expression disorder plays an important role in the occurrence, development, and treatment of sepsis or other inflammatory diseases, and has become an important target for the treatment of these diseases. Mesenchymal stem cells (MSCs) are a kind of pluripotent stem cells with multiple differentiation potential. In recent years, MSCs have been found to have a strong immunosuppressive ability and are used to treat various inflammatory insults caused by hyperimmune diseases. Moreover, PD-L1 is deeply involved in the immunosuppressive events of MSCs and plays an important role in the treatment of various diseases. In this review, we will summarize the main regulatory mechanism of PD-L1 expression, and discuss various biological functions of PD-L1 in the immune regulation of MSCs.

Objective:We aimed to develop a novel visualized model based on nomogram to predict postoperative overall survival.Methods:This was a multicenter, retrospective, observational cohort study, including participants with histologically confirmed gastric and colorectal cancer who underwent radical surgery from 11 medical centers in China from August 1, 2015 to June 30, 2018. Baseline characteristics, histopathological data and nutritional status, as assessed using Nutrition Risk Screening 2002 (NRS 2002) score and the scored Patient-Generated Subjective Global Assessment, were collected. The least absolute shrinkage and selection operator regression and Cox regression were used to identify variables to be included in the predictive model. Internal and external validations were performed.Results:There were 681 and 127 patients in the training and validation cohorts, respectively. A total of 188 deaths were observed over a median follow-up period of 59 (range: 58 to 60) months. Two independent predictors of NRS 2002 and Tumor-Node-Metastasis (TNM) stage were identified and incorporated into the prediction nomogram model together with the factor of age. The model's concordance index for 1-, 3- and 5-year overall survival was 0.696, 0.724, and 0.738 in the training cohort and 0.801, 0.812, and 0.793 in the validation cohort, respectively.Conclusions:In this study, a new nomogram prediction model based on NRS 2002 score was developed and validated for predicting the overall postoperative survival of patients with gastric colorectal cancer. This model has good differentiation, calibration and clinical practicability in predicting the long-term survival rate of patients with gastrointestinal cancer after radical surgery.

Depression, a heterogeneous disorder with symptoms involving emotion, cognition, and behavior, is characterized by high morbidity, low treatment acceptance, and recurrent episodes. It is expected to become a major disease in the global healthcare burden by 2030. The pathogenesis of depression is complex, involving genetic, environmental, neurological, immune, endocrine and other factors, among which neuroplasticity plays a key role in the development of depression and antidepressant treatment. Neuroplasticity can occur in various brain regions and involves a variety of molecular and cellular mechanisms, including neurogenesis, synaptic plasticity, neurotrophic factors, and neuronal apoptosis. Hippocampus is a key brain region for memory and emotional information processing, and its neuroplasticity has become a research hotspot in neuroscience in recent years. Traditional Chinese medicine(TCM) has a long history of preventing and treating depression, with complete basic theories, rich therapeutic experience, and profound therapeutic efficacy. A large number of animal and cellular experiments have shown that TCM can modulate hippocampal neuroplasticity to ameliorate depression, which is another important manifestation of the concept of micro-differentiation in TCM and the modernization of TCM. However, there is a lack of a comprehensive review and summary at present. In view of this problem, this paper systematically reviews the pathological mechanisms of hippocampal neuroplasticity dysregulation in the development of depression and the mechanisms of TCM modulation of hippocampal neuroplasticity in the treatment of depression, with a view to providing new ideas for the in-depth study of TCM in the prevention and treatment of depression.
Neuronal Plasticity/drug effects* ; Hippocampus/physiopathology* ; Humans ; Animals ; Depression/physiopathology* ; Drugs, Chinese Herbal/pharmacology* ; Medicine, Chinese Traditional

Trihelix transcription factors play important roles in plant light responses, growth and development, and stress responses. However, Trihelix has not yet been reported in Eucommia ulmoides. In this study, bioinformatics methods were used to comprehensively identify and analyze the expression patterns of the Trihelix gene family in E. ulmoides, aiming to provide a basis for further functional studies of EuGTs genes. A total of 9 Trihelix gene family members were identified in E. ulmoides, encoding proteins with 339 to 883 amino acids, with isoelectric points ranging from 5.13 to 9.39 and relative molecular weights between 36 992.06 and 97 871.61. Subcellular localization results showed that only EuGT-2 was localized in chloroplasts, while the others were located in the nucleus. The Trihelix gene family was categorized into six subfamilies: GT-1, GT-2, SH4, SIP1, GTγ, and GTδ. EuGTs were distributed among three subfamilies: SH4, GT-1, and GT-2, containing 1, 6, and 2 Trihelix proteins, respectively, with 2 to 17 exons. The promoters of EuGTs contained various cis-acting elements related to hormones, stress, photoperiod, and growth and development. Collinearity analysis revealed 5 collinear gene pairs between E. ulmoides and Arabidopsis thaliana, and 14 collinear gene pairs between E. ulmoides and Populus. Expression pattern analysis showed that EuGTs exhibited tissue-specific expression: EuGT-1, EuGT-2 had the highest expression levels in leaves, EuGT-4, EuGT-6, EuGT-9 had the highest transcriptional levels in marginal peel, and EuGT-5、EuGT-8 were predominantly expressed in the xylem. As leaves developed, EuGTs showed a trend of asynchronous changes. No significant differences in EuGTs expression were observed between male and female flowers, with high expression levels mainly during the induction stage of flowering. The qRT-PCR analysis indicated that most EuGTs genes were most highly expressed in the leaves of E. ulmoides, while EuGT-5 was highly expressed in the stems. Under 200 mmol·L~(-1) NaCl treatment, most EuGTs genes exhibited an initial increase followed by a decrease in expression, significantly responding to salt stress. This study provides important genetic resources for further exploration of EuGTs gene functions and germplasm innovation in E. ulmoides.
Plant Proteins/metabolism* ; Gene Expression Regulation, Plant ; Eucommiaceae/chemistry* ; Phylogeny ; Multigene Family/genetics* ; Gene Expression Profiling ; Transcription Factors/metabolism* ; Genome, Plant/genetics*