With the completion of the "Human Genome Project" and the smooth progress of the "Herbal Genome Project", the research wave of RNAomics is gradually advancing, opening the research gateway for the modernization of traditional Chinese medicine (TCM) and initiating the post-genome era of medicinal plant RNA research. Therefore, this article proposes for the first time the concept of HerbRNomes, which involves constructing databases of medicinal plant, medicinal fungus, and medicinal animal RNA at different stages, from different origins, and in different organs. This research aims to explore the role of HerbRNA in self-genetic information transmission, functional regulation, as well as cross-species regulation functional mechanisms and key technologies. It also investigates application scenarios, providing a theoretical basis and research ideas for the resistance of TCM or medicinal plants to adversity and stress, molecular assistant breeding, and the development of small nucleic acid drugs. This article reviews recent research progress in elucidating the molecular mechanisms of the transmission and expression of genetic information, self-regulation and cross-species regulation of herbs at the RNA level, along with key technologies. It proposes a development strategy for small nucleic acid drugs based on HerbRNomes, providing theoretical support and guidance for the modernization of TCM based on HerbRNomes research.

Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg^-1) and a high dose (15 mg·kg^-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D₃03)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objective Hippocampal atrophy is a clinically important marker for the diagnosis of many psychiatric disorders such as Alzheimer’s disease‚ so accurate segmentation of the hippocampus is an important scientific issue. With the development of deep learning‚ a large number of advanced automatic segmentation method have been proposed. However‚ 3D hippocampal segmentation is still challenging due to the effects of various noises in MRI and unclear boundaries between various classes of the hippocampus. Therefore‚ the aim of this paper is to propose new method to segment the hippocampal head‚ body‚ and tail more accurately. Methods To overcome these challenges‚ this paper proposed two strategies. One was the spatial and frequency domain features adaptive fusion strategy‚ which reduced the influence of noise on feature extraction by automatically selecting the appropriate frequency combination through fast Fourier transform and convolution. The other was an inter-class boundary region enhancement strategy‚ which allowed the network to focus on learning the boundary regions by weighting the loss function of the boundary regions between each class to achieve the goal of pinpointing the boundaries and regulating the size of the hippocampal head‚ body and tail. Results Experiments performed on a 50-case teenager brain MRI dataset show that our method achieves state-of-the-art hippocampal segmentation. Hippocampal head‚ body and tail had been improved compared to the existing method. Ablation experiments demonstrated the effectiveness of our two proposed strategies‚ and we also validated that the network had a strong generalization ability on a 260-case Task04_Hippocampus dataset. It was shown that the method proposed in this paper could be used in more hippocampal segmentation scenarios. Conclusion The method proposed in this paper can help clinicians to observe hippocampal atrophy more clearly and accomplish more accurate diagnosis and follow-up of the condition.

Objective To summarize the acupoints and parameters commonly used in the treatment of vascular cognitive impairment(VCI)by electro-acupuncture(EA)through the visual data mining technique to provide a reference basis for clinical treatment.Methods The clinical studies of EA on the treatment of VCI were searched in CNKI,Wanfang,VIP,CBM,PubMed,Embase,Cochrane Library,web of science and other major databases.The literature is managed by Note Express and the database is established by Excel.The frequency of selected acupoints,frequency,meridian tropism,parameter frequency and frequency of used acupoints are counted.Factor analysis is carried out by SPSS 21.0 software.SPSS Modeler 18.3 software is used to analyze association rules and co-occurrence network,and the analysis results are visualized by Cytoscape 3.9.1 software.Results Finally,155 papers were included,containing 155 acupoint prescriptions and 157 parameter prescriptions.Acupoint prescriptions involved 100 acupoints with a total frequency of 856 times;parameter prescriptions involved 33 parameters with a total frequency of 788 times.Conclusion At present,there is a big difference between the clinical studies,and there is no recognized acupoint and parameter for EA treatment of VCI.By further summarizing the law of EA acupuncture point and parameter,the study has sorted out the law of commonly used acupoints,meridian tropism,compounding and parameter selection for EA treatment of VCI.It was concluded that the selection of acupoints mainly started from the three aspects of deficiency,phlegm and stasis,focusing on the combination of local and distal selection of acupoints,through the identification of internal organs and meridians,to achieve the simultaneous regulation of the heart,spleen and kidney,and to take into account both the symptoms and the root cause,and to play the roles of opening the orifices to wake up mind,calming mind and benefiting intellect,strengthening the spleen and tonifying the kidneys,and invigorating blood circulation to remove stasis.The parameters of EA are recommended to be sparse and dense wave,low frequency,as tolerated by the patient,30 minutes/times,1 time/day,5 times/week as the main combinations,which can provide a certain reference basis for clinical decision-making.

Objective To explore the operation effect of the improved full-appointment mode of ambulatory chemotherapy,so as to provide reference for further improving the treatment process.Methods The enhanced full-appointment mode had been implemented in Fudan University Shanghai Cancer Center outpatient information system,which seamlessly integrated daytime chemotherapy assessment with comprehensive information management,formulated precise rules for chemotherapy appointments,and ensured efficient integration of relevant data.A comparative analysis was conducted between the period after optimization(Jan to Sep 2022)and the corresponding period in the previous year(Jan to Sep 2021),considering factors such as patient waiting time,human involvement,patient safety during chemotherapy,as well as nurse and patient satisfaction.Results After optimization,the time spent by patients was reduced from 52.12(32.73-83.05)to 20.04(11.87-41.10)minutes,with statistically significant difference(z=-78.144,P＜0.001).Additionally,the time spent by patients before and after optimization was significantly different in the distribution of＜30 minutes,30-60 minutes,and＞60 minutes(χ2=5 958.455,P＜0.001).Previously,one nurse and 2-3 security personnel were required to schedule appointments in the daytime chemotherapy center,while after optimization,there was no longer a need for nurses to arrange appointment windows and the number of security personnel was reduced to one,thereby optimized human operations.It was observed that the number of cases involving chemotherapy infusion reactions decreased from 59 to 46 following optimization,and the number of patients requiring rescue observation reduced from four to one.Notably,no rescue events occurred during non-day shifts,thus enhanced patient safety during treatment hours outside regular working hours.Furthermore,there was a statistically significant improvement in both nurses'and patients'satisfaction levels before and after implementation of these optimizations(P＜0.05).Conclusion The modified full appointment mode reduced patient waiting time,optimized human resources utilization,enhanced patient safety during chemotherapy,and improved satisfaction levels among both nurses and patients.The implementation of the modified full appointment mode for daytime chemotherapy centers was beneficial to their overall operation.

AIM To study the chemical constituents from Ganoderma angustisporum J.H.Xing,B.K.Cui&Y.C.Dai and their α-glucosidase inhibitory activities.METHODS The ethyl acetate extract from G.angustisporum was isolated and purified by silica gel,ODS,TLC and HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.pNPG method was used to evaluate their α-glucosidase inhibitory activities.RESULTS Seven compounds were isolated and identified as N-acetyl-L-phenylalanine ethyl ester(1),N-acetyl-L-phenylalanine methyl ester(2),4-hydroxy-17R-methylincisterol(3),6,8-di-O-methylaverufin(4),aversin(5),methyl 2-(4-hydroxyphenyl)aceate(6),5-toluene-1,3-diol(7).Compounds 1-2,4-7 showed inhibitory activities of α-glucosidase with IC50 values being(33.80±0.47),(45.45±7.95),(48.80±5.86),(39.48±2.82),(41.47±6.68),(55.38±10.12)μmol/L,and compound 1 showed good inhibitory activity.CONCLUSION Compound 1 is a new natural product.Compounds 2-7 are isolated from genus Ganoderma for the first time.Compounds 1-2,4-7 have α-glucosidase inhibitory activities.

Osteoporosis （OP） is a systemic metabolic bone disease characterized by bone microstructure degeneration and bone mass loss， which has a high prevalence and disability rate. Effective prevention and treatment of OP is a major difficulty in the medical community. The nature of OP is that multiple pathological factors lead to the imbalance of human bone homeostasis maintained by osteoblasts and osteoclasts. Ferroptosis is a non-apoptotic cell death pathway， and its fundamental cause is cell damage caused by iron accumulation and lipid peroxidation. Studies have shown that ferroptosis is involved in and affects the occurrence and development of OP， which leads to OP by mediating the imbalance of bone homeostasis. Ferroptosis is an adjustable form of programmed cell death. The intervention of ferroptosis can regulate the damage degree and death process of osteoblasts and osteoclasts， which is beneficial to maintain bone homeostasis， slow down the development process of OP， improve the clinical symptoms of patients， reduce the risk of disability， and improve their quality of life. However， there are few studies on ferroptosis in OP. Traditional Chinese medicine （TCM） is a medical treasure with unique characteristics and great application value in China. It has been widely used in China and has a long history. It has the multi-target and multi-pathway advantages in the treatment of OP， with high safety， few toxic and side effects， and low treatment cost， and has a significant effect in clinical application. The intervention of TCM in ferroptosis to regulate bone homeostasis may be a new direction for the prevention and treatment of OP in the future. This article summarized the regulatory mechanisms related to ferroptosis， discussed the role of ferroptosis in bone homeostasis， and reviewed the current status and progress of active ingredients in TCM compounds and monomers in the regulation of OP through ferroptosis， so as to provide a theoretical basis for the participation of TCM in the prevention and treatment of OP in the future.