Aconitum kusnezoffii is a perennial herbaceous medicinal plant of the family Ranunculaceae, with unique medicinal value. Damping off is one of the most important seedling diseases affecting A. kusnezoffii, occurring widely and often causing large-scale seedling death in the field. To clarify the species of the pathogen causing damping off in A. kusnezoffii and to formulate an effective control strategy, this study conducted pathogen identification, research on biological characteristics, and evaluation of fungicide inhibitory activity. Through morphological characteristics, cultural traits, and phylogenetic tree analysis, the pathogen causing damping off in A. kusnezoffii was identified as Rhizoctonia solani, belonging to the AG5 anastomosis group. The optimal temperature for mycelial growth of the pathogen was 25-30 ℃, with OA medium as the most suitable medium, pH 8 as the optimal pH, and sucrose and yeast as the best carbon and nitrogen sources, respectively. The effect of light on mycelial growth was not significant. In evaluating the inhibitory activity of 45 chemical fungicides, including 30% hymexazol, and 4 biogenic fungicides, including 0.3% eugenol, it was found that 30% thifluzamide and 50% fludioxonil had significantly better inhibitory effects on R. solani than other tested agents, with EC_(50) values of 0.129 6,0.220 6 μg·mL~(-1), respectively. Among the biogenic fungicides, 0.3% eugenol also showed an ideal inhibitory effect on the pathogen, with an EC_(50) of 1.668 9 μg·mL~(-1). To prevent the development of resistance in the pathogen and to reduce the use of chemical fungicides, it is recommended that the three fungicides above be used in rotation during production. These findings provide a theoretical basis for the accurate diagnosis and effective control strategy for R. solani causing damping off in A. kusnezoffii.
Fungicides, Industrial/pharmacology* ; Plant Diseases/microbiology* ; Rhizoctonia/growth & development* ; Aconitum/microbiology* ; Phylogeny ; Mycelium/growth & development*

The dried mature peel of Citrus reticulata, a plant in the Rutaceae family and its cultivated varieties, is a commonly used Chinese medicinal material known as Chenpi(Citri Reticulatae Pericarpium). It is rich in nutritional components and medicinal value, with pharmacological effects including relieving cough and eliminating phlegm, strengthening the spleen and drying dampness, protecting the liver and benefiting the stomach, tonifying Qi, and calming the mind. Huanglongbing(HLB), also known as Citrus Huanglongbing, is a destructive disease in citrus production that seriously threatens the development of the citrus industry. HLB causes symptoms such as the inability of Rutaceae plants to produce mature fruit, gradual weakening of the tree, and eventual death, posing a significant threat to the yield and quality of Chenpi. Due to the uneven distribution of the HLB pathogen in infected plants, accurate detection of the pathogen requires the collection of a large number of plant samples. Current sample pretreatment methods, such as traditional extraction methods and commercial extraction kits, are time-consuming and involve multiple steps, which significantly increase the difficulty and workload of HLB diagnosis and have become a bottleneck in HLB detection. In this study, a rapid high-throughput detection method combining alkali lysis and TaqMan qPCR was developed. This method allows the pretreatment of multiple samples within 5 min, and the entire detection process can be completed within 45 min, with a detection limit of 6.67 fg·μL~(-1). The alkali lysis method and commercial kits were used for parallel detection of field-collected citrus samples, and the results showed no significant difference. The sample pretreatment method established in this study is characterized by low cost, simplicity, and high efficiency. Combined with TaqMan qPCR, it can provide technical support for early and on-site diagnosis of HLB. This method is of great significance for disease prevention and control in the citrus industry and is expected to help improve the yield and quality of citrus medicinal materials.
Citrus/microbiology* ; Plant Diseases/microbiology* ; Rhizobiaceae/physiology* ; High-Throughput Screening Assays/methods* ; Liberibacter/physiology*

This study selected 6 529 plant-based Chinese materia medica(PCMM) from Chinese Materia Medica as research subjects and applied a random permutation test to explore the overall correlation characteristics between nature and flavor, as well as the correlation characteristics after distinguishing different medicinal parts and harvest seasons. The results showed that the overall correlation characteristics between nature and flavor in PCMM were significantly associated in the following pairs: cold and bitter, cool and bitter, cool and astringent, cool and light, neutral and sweet, neutral and astringent, neutral and light, neutral and sour, hot and pungent, and warm and pungent. When analyzing the data by distinguishing medicinal parts and/or harvest seasons, new correlation patterns emerged, characterized by the disappearance of some significant correlations and the emergence of new ones. When analyzing by medicinal parts alone, significant correlations were found in the following cases: cold and light in leaves, cold and salty in barks, cool and sweet in fruits and seeds, neutral and pungent in whole herbs, neutral and salty in stems, and warm and salty in flowers. However, no significant correlations were found between cool and bitter in stems and other types of herbs, cool and astringent in fruits, seeds, flowers, and other types of herbs, cool and light in leaves, fruits, seeds, barks, flowers and other types of herbs, neutral and sweet in barks, neutral and astringent in whole herbs and stems, neutral and light in leaves, fruits, seeds, and flowers, neutral and sour in whole herbs, stems, barks, flowers, and other types of herbs, and hot and pungent in whole herbs, stems, flowers, and other types of herbs. When analyzing by harvest season alone, significant correlations were found in the following cases: cold and salty, and cool and sour in herbs harvested in winter, and neutral and salty in herbs harvested year-round. However, no significant correlation was found between cool and light in herbs harvested in winter. When considering both medicinal parts and harvest seasons, compared to the independent influence of medicinal parts, 14 new significant correlations emerged(e.g., the correlation between cool and bitter in stems harvested in spring), while 53 previously significant correlations disappeared(e.g., the correlation between cool and bitter in barks harvested in summer). Compared to the independent influence of harvest seasons, 11 new significant correlations appeared(e.g., the correlation between cold and light in barks harvested in autumn), while 50 previously significant correlations disappeared(e.g., the correlation between hot and pungent in leaves harvested in winter). This study is the first to reveal the influence of medicinal parts and harvest seasons on the correlation between nature and flavor in PCMM, which highlights that these two factors can interact and jointly affect nature-flavor correlations. Further research is needed to explore the underlying mechanisms. This study provides a deeper understanding of the inherent scientific connotations of herbal properties and offers a theoretical foundation for the cultivation and harvesting of PCMM.
Seasons ; Plants, Medicinal/growth & development* ; Drugs, Chinese Herbal/chemistry* ; Taste

In recent years, the study of single-cell transcriptome sequencing technology in the heterogeneity of astrocytes (astrocytes) after spinal cord injury (SCI) has provided new perspectives on post-traumatic nerve regeneration and repair. To provide a review on the research progress of single-cell sequencing technology in astrocytes after spinal cord injury (SCI), and to more comprehensively and deeply elaborate the application of single-cell sequencing technology in the field of astrocytes after SCI. Single-cell sequencing technology can analyse the transcriptomes of individual cells in a high-throughput manner, thus revealing fine differences in cell types and states. By using single-cell sequencing technology, the heterogeneity of astrocytes after SCI and their association with nerve regeneration and repair were revealed. In conclusion, the application of single-cell sequencing technology provides an important tool to reveal the heterogeneity of astrocytes after SCI, to further explore the mechanisms of astrocytes in SCI, and to develop intervention strategies targeting their regulatory mechanisms in order to improve the therapeutic efficacy of SCI. The discovery of changes in astrocyte transcriptome dynamics has improved researchers' understanding of spinal cord injury lesion progression and provided new insights into the treatment of spinal cord injury at different time points. To date, all of these findings need to be validated by more basic research and sufficient clinical trials. In the future, single-cell sequencing technology, through interdisciplinary collaboration with bioinformatics, computer science, tissue engineering, and clinical medicine, is expected to open a new window for the treatment of spinal cord injury.
Spinal Cord Injuries/metabolism* ; Astrocytes/cytology* ; Single-Cell Analysis/methods* ; Humans ; Animals ; Transcriptome ; Nerve Regeneration

Aim To investigate the effects of tran-scription factor FoxO1 on acute kidney injury(AKI)induced by ischemic reperfusion injury(IRI)and to explore the underlying mechanisms.Methods Male C57BL/6 mice were randomly divided into four groups:Sham,IRI,FoxO1 inducible cell-specific knockout(FoxO1 icKO),and IRI+FoxO1 icKO.Tamoxifen(25 mg·kg-1)was intraperitoneally injec-ted to specifically knock out FoxO1 in mouse macro-phages,and a unilateral renal IRI model was estab-lished.The levels of serum creatinine(Scr),blood u-rea nitrogen(BUN),Fe2+,malondialdehyde(MDA),reactive oxygen species(ROS),and reduced glutathi-one(GSH)in renal tissues were detected.Hematoxy-lin-eosin(HE)staining was used to observe the patho-logical changes in renal tissues.Quantitative polymer-ase chain reaction(qPCR)was used to detect the mR-NA levels of inflammatory factors such as IL-1β and MCP1 in renal tissues.Western blot was used to detect the expression levels of apoptosis and ferroptosis-relat-ed proteins.Results Compared with the control group,the levels of Scr and BUN in the IRI group were significantly upregulated,the infiltration of inflammato-ry factors IL-1β,TNF-α and MCP1 increased,the pro-tein expressions of Bax/Bc12,cleaved-caspase-3/caspase-3,cytochrome C,and FTH1 in renal tissues were significantly enhanced,while the expression of GPX4 decreased.In addition,the levels of Fe2+,MDA and ROS in the renal cortex of the IRI group signifi-cantly increased,and the level of GSH markedly de-creased(P＜0.05).Compared with the IRI group,the levels of Scr and BUN in the FoxO1 icKO group were significantly reduced,the infiltration of inflammatory factors was alleviated,the expression of apoptosis-relat-ed proteins in renal tissue decreased,the expression level of ferroptosis protein GPX4 increased,and the ex-pression of FTH1 decreased.The levels of Fe2+,MDA and ROS in the renal cortex decreased,and the level of GSH significantly increased(P＜0.05).Conclusion Inducing the specific knockout of FoxO1 in macro-phages can alleviate AKI induced by IRI,and its mech-anism may be related to the inhibition of ferroptosis caused by IRI by FoxO1.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Aim To investigate the effects of tran-scription factor FoxO1 on acute kidney injury(AKI)induced by ischemic reperfusion injury(IRI)and to explore the underlying mechanisms.Methods Male C57BL/6 mice were randomly divided into four groups:Sham,IRI,FoxO1 inducible cell-specific knockout(FoxO1 icKO),and IRI+FoxO1 icKO.Tamoxifen(25 mg·kg-1)was intraperitoneally injec-ted to specifically knock out FoxO1 in mouse macro-phages,and a unilateral renal IRI model was estab-lished.The levels of serum creatinine(Scr),blood u-rea nitrogen(BUN),Fe2+,malondialdehyde(MDA),reactive oxygen species(ROS),and reduced glutathi-one(GSH)in renal tissues were detected.Hematoxy-lin-eosin(HE)staining was used to observe the patho-logical changes in renal tissues.Quantitative polymer-ase chain reaction(qPCR)was used to detect the mR-NA levels of inflammatory factors such as IL-1β and MCP1 in renal tissues.Western blot was used to detect the expression levels of apoptosis and ferroptosis-relat-ed proteins.Results Compared with the control group,the levels of Scr and BUN in the IRI group were significantly upregulated,the infiltration of inflammato-ry factors IL-1β,TNF-α and MCP1 increased,the pro-tein expressions of Bax/Bc12,cleaved-caspase-3/caspase-3,cytochrome C,and FTH1 in renal tissues were significantly enhanced,while the expression of GPX4 decreased.In addition,the levels of Fe2+,MDA and ROS in the renal cortex of the IRI group signifi-cantly increased,and the level of GSH markedly de-creased(P＜0.05).Compared with the IRI group,the levels of Scr and BUN in the FoxO1 icKO group were significantly reduced,the infiltration of inflammatory factors was alleviated,the expression of apoptosis-relat-ed proteins in renal tissue decreased,the expression level of ferroptosis protein GPX4 increased,and the ex-pression of FTH1 decreased.The levels of Fe2+,MDA and ROS in the renal cortex decreased,and the level of GSH significantly increased(P＜0.05).Conclusion Inducing the specific knockout of FoxO1 in macro-phages can alleviate AKI induced by IRI,and its mech-anism may be related to the inhibition of ferroptosis caused by IRI by FoxO1.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Further evidence is needed to explore the impact of high-altitude environments on the neurologic function of neonates.Non-invasive techniques such as cerebral near-infrared spectroscopy and amplitude-integrated electroencephalography can provide data on cerebral oxygenation and brain electrical activity.This study will conduct multiple cerebral near-infrared spectroscopy and amplitude-integrated electroencephalography monitoring sessions at various time points within the first 3 days postpartum for healthy full-term neonates at different altitudes.The obtained data on cerebral oxygenation and brain electrical activity will be compared between different altitudes,and corresponding reference ranges will be established.The study involves 6 participating centers in the Chinese High Altitude Neonatal Medicine Alliance,with altitude gradients divided into 4 categories:800 m,1 900 m,2 400 m,and 3 500 m,with an anticipated sample size of 170 neonates per altitude gradient.This multicenter prospective cohort study aims to provide evidence supporting the impact of high-altitude environments on early brain function and metabolism in neonates.[Chinese Journal of Contemporary Pediatrics,2024,26(4):403-409]

Objective To observe the clinical effect and safety of camrelizumab combined with albumin-bound paclitaxel and cisplatin in preoperative neoadjuvant chemotherapy for patients with stage Ⅲa non-small cell lung cancer(NSCLC).Methods Patients with stage Ⅲ a NSCLC were divided into the treatment group and the control group.The control group was treated with intravenous infusion of 130 mg·m-2 of paclitaxel injection on day 1 and day 8,and intravenous infusion of 75 mg·m-2 of cisplatin injection on day 1.In addition to the treatment of control group,the treatment group was treated with intravenous infusion of 200 mg of camrelizumab injection on day 1.Both groups were given 2 cycles of treatment.Clinical efficacy,tumor markers,tumor metastasis markers,T lymphocyte subsets,and safety were compared between the two groups.Results After treatment,the objective remission rate(ORR)of the treatment group and the control group was 69.64％(39 cases/56 cases)and 38.98％(23 cases/59 cases),respectively;the disease control rate(DCR)was 89.29％(50 cases/56 cases)and 72.88％(43 cases/59 cases),respectively;cytokeratin-19-fragment(Cyfra21-1)levels were(3.47±0.86)and(4.01±1.24)ng·mL-1;carcinoembryonic antigen(CEA)levels were(4.55±0.93)and(5.26±1.04)ng·mL-1;neuron-specific enolase(NSE)levels were(16.38±2.51)and(19.02±2.95)ng·mL-1;basic fibroblast growth factor(bFGF)levels were(15.82±2.34)and(18.64±2.59)μg·L-1;carbohydrate antigen 15-3(CA15-3)levels were(22.54±3.10)and(29.41±3.82)ng·mL-1;CD4+/CD8+were 1.42±0.51 and 1.30±0.32.The above indexes were significantly different between the control group and the treatment group(all P＜0.05).The adverse drug reactions in the treatment group and the control group were mainly neutropenia,thrombocytopenia,alopecia,gastrointestinal reaction and radiation pneumonia.There were no significant difference in the incidence of adverse drug reactions between the two groups(all P＞0.05).Conclusion Camrelizumab combined with albumin-bound paclitaxel and cisplatin is effective in the treatment of patients with stage Ⅲa NSCLC.