Through consulting herbal medicine， medical books， and local chronicles from past dynasties to modern times， this paper systematically researched Spatholobi Caulis from name， origin， producing areas， harvesting， processing， usage， quality evaluation， functions and indications， providing a reference for the development and utilization of famous classical formulas containing Spatholobi Caulis. According to the research， Spatholobi Caulis was first recorded in the Annals of Shunning Prefecture from the Qing dynasty. It was originally a medicinal herb commonly used in Shunning， Yunnan， and was named from the red juice resembling chicken blood that flowed out after the vein was cut off. The mainstream original plants of each dynasty were Kadsura heteroclita and Spatholobus suberectus. Among them， K. heteroclita mainly focused on dispersing blood stasis and unblocking meridians， mainly treating rheumatic pain and injuries caused by falls or blows， and it is mostly used as the raw material of Jixueteng ointments. S. suberectus was commonly used as decoction pieces in decoction， which had the functions of promoting blood circulation and replenishing blood， activating meridians and collaterals， and mainly used for treating anemia， irregular menstruation， and rheumatic bone pain. The production area of Spatholobi Caulis recorded in the Qing dynasty was Yunnan. Currently， the main production area of S. suberectus is Guangxi， while the main production area of K. interior is Yunnan. In the Qing dynasty， the usage of Spatholobi Caulis was an individual prescription with other herbs before making ointments， which was usually composed of the juice of it， safflower， angelica， and glutinous rice. But in modern times， Spatholobi Caulis is mostly sliced and dried for use. The quality of Spatholobi Caulis is often determined by the number of reddish-brown concentric circles on the cut surface， with a higher number indicating better quality. Additionally， the presence of resinous secretions is also considered desirable. Based on the research findings， it is suggested that when developing famous classical formulas containing Spatholobi Caulis， the choice of the primary source should be S. suberectus or K. heteroclita， taking into consideration the therapeutic effects of the formula. It is also recommended that the latest plant classification be referenced in the next edition of Chinese Pharmacopoeia， adjusting the primary source of Kadsurae Caulis to K. heteroclita to avoid confusion caused by inconsistent original names， and the functions adjust to promote Qi circulation and relieve pain， disperse blood stasis and unblock collaterals， treating injuries caused by falls and bruises.

Two-dimensional nuclear magnetic resonance (2D NMR) is a widely used technique for structural analysis of small molecular compounds. It can obtain information about the hydrogen-hydrogen correlation, hydrogen-carbon single bond correlation, hydrogen-carbon remote correlation, and hydrogen-hydrogen spatial arrangement of compounds. Thus, 2D NMR has an irreplaceable role in the structure elucidation of small molecular products. However, the sample amount of trace components in phytochemical research is very low, and the traditional sampling method (uniform sampling) has problems of poor spectral quality and too long measure time. Increasing the number of scans results in several hours of the acquisition time for a single two-dimensional spectrum, which in turn causes strain on the NMR machine. The non-uniform sampling (NUS) technique can shorten the acquisition time to a large extent and not affect the quality of 2D NMR data, which greatly improves the efficiency of 2D NMR acquisition. In this paper, fuziline, a small molecular compound in the lateral roots of Aconitum carmichaelii was selected as the research object. Its ¹H-¹³C HSQC, ¹H-¹H COSY, HMBC, and NOESY spectra were acquired by US and NUS methods, respectively. By comparing the integral values of NMR signals of three chemical groups in fuziline, it is confirmed that the NUS technique has the advantages of improving the quality of 2D NMR spectra and shortening the acquisition time in structure elucidation of small molecule compounds. In HMBC spectrum, it was further confirmed that NUS technology can improve the quality of the 2D spectra and the signal resolution. This indicates that NUS technology can improve the efficiency and reliability of the structure elucidation of small molecule compounds.

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.

Lung cancer is the most common malignant tumor worldwide, ranking first in both incidence and mortality rates. According to the latest statistics from the International Agency for Research on Cancer (IARC), approximately 2.5 million new cases and around 1.8 million deaths from lung cancer occurred in 2022, placing a tremendous burden on global healthcare systems. The high mortality rate of lung cancer is closely linked to its subtle early symptoms, which often lead to diagnosis at advanced stages. This not only complicates treatment but also results in substantial economic losses. Current treatment options for lung cancer include surgery, radiotherapy, chemotherapy, targeted drug therapy, and immunotherapy. Among these, immunotherapy has emerged as the most groundbreaking advancement in recent years, owing to its unique antitumor mechanisms and impressive clinical benefits. Unlike traditional therapies such as radiotherapy and chemotherapy, immunotherapy activates or enhances the patient’s immune system to recognize and eliminate tumor cells. It offers advantages such as more durable therapeutic effects and relatively fewer toxic side effects. The main approaches to lung cancer immunotherapy include immune checkpoint inhibitors, tumor-specific antigen-targeted therapies, adoptive cell therapies, cancer vaccines, and oncolytic virus therapies. Among these, immune checkpoint inhibitors and tumor-specific antigen-targeted therapies have received approval from the U.S. Food and Drug Administration (FDA) for clinical use in lung cancer, significantly improving outcomes for patients with advanced non-small cell lung cancer. Although other immunotherapy strategies are still in clinical trials, they show great potential in improving treatment precision and efficacy. This article systematically reviews the latest research progress in lung cancer immunotherapy, including the development of novel immune checkpoint molecules, optimization of treatment strategies, identification of predictive biomarkers, and findings from recent clinical trials. It also discusses the current challenges in the field and outlines future directions, such as the development of next-generation immunotherapeutic agents, exploration of more effective combination regimens, and the establishment of precise efficacy prediction systems. The aim is to provide a valuable reference for the continued advancement of lung cancer immunotherapy.

Asian Pacific Journal of Tropical Biomedicine +Advanced Search Home About Authors Subscribe Contact Us Hainan Medical University Press Archive > Volume Issue 4 > 2024(4):162-169. DOI:10.4103/apjtb.apjtb_852_23 Prev Next Ellagic acid inhibits gastric cancer cells by modulating oxidative stress and inducing apoptosis Jian Zheng Chun-Feng Li Article Metrics Preview PDF Reference Abstract: Objective: To evaluate the anticancer effect of ellagic acid on gastric cancer cells. Methods: MTT assay was used to evaluate the effect of ellagic acid at different concentrations (0.5-100 μg/mL) on gastric cancer AGS cells. RT-qPCR and Western blot analyses were applied to assess apoptosis (BCL-2, CASP-3, and BAX) and autophagy (LC3, ATG5, and BECN1) in AGS cells treated with ellagic acid. The expression of invasion-related markers including TP53, CDKN2A, and PTEN was determined. In addition, cell cycle markers including cyclin A, B, D, and E were measured by ELISA. Oxidative stress markers were evaluated using spectrophotometry. Results: Ellagic acid inhibited the proliferation of AGS cells in a concentration- and time-dependent manner. The expression of BCL- 2 was significantly decreased (P<0.05) and CASP-3 and BAX were markedly increased (P<0.01) in AGS cells treated with ellagic acid. However, this compound induced no significant changes in the expression levels of LC3, ATG5, and BECN1 (P>0.05). Moreover, the oxidative stress markers including SOD, TAC, and MDA were increased by ellagic acid (P<0.01). Conclusions: Ellagic acid can inhibit cell proliferation, induce apoptosis, and modulate oxidative stress in AGS cells. However, further in vivo and molecular studies are needed to verify its anticancer efficacy.

ObjectiveTaking the oligosaccharides in Rehmanniae Radix（RR） as the research object， the content determination method based on high performance liquid chromatography-evaporative light scattering detection（HPLC-ELSD） and thin layer chromatography（TLC） identification method were established to explore the content and distribution of oligosaccharides in different RR herbs and decoction pieces. MethodA total of 10 batches of fresh and raw RR， 12 batches of RR decoction pieces and Rehmanniae Radix Praeparata（RRP） were collected. A TLC identification method for fructose， sucrose， manninotriose， raffinose and stachyose in RR was established by using silica gel G thin-layer plates with ethyl acetate-water-anhydrous formic acid-glacial acetic acid（12∶6∶5∶4） as the developing agent and 10% sulfuric acid-ethanol solution as chromogenic agent. A HPLC-ELSD was used to determine the contents of fructose， glucose， sucrose， melibiose， raffinose， manninotriose and stachyose in different RR herbs and decoction pieces. Then principal component analysis（PCA） and partial least squares-discriminant analysis（PLS-DA） were used to analyze the contents of 7 kinds of saccharides in RR herbs and decoction pieces， and the differential components were screened with the value of variable importance in the projection（VIP）>1. ResultThe results of TLC identification showed that fresh RR， raw RR and its decoction pieces showed spots of the same color on the corresponding positions with the control products of stachyose， raffinose and sucrose， while the TLC of RRP showed spots of the same color at corresponding positions to manninotriose and fructose controls. The results of methodological investigations of 7 analytes met the requirements of determination. Only glucose， sucrose， raffinose and stachyose were detected in 10 batches of fresh RR and 10 batches of raw RR herbs， the average contents of which were 0.84%， 4.62%， 2.42% and 57.90% in fresh samples， while those were 3.16%， 9.36%， 7.05% and 38.10% in raw samples， respectively. In 12 batches of RR decoction pieces， the contents of the above seven sugars（fructose， glucose， sucrose， melibiose， raffinose， manninotriose and stachyose） were 1.68%， 4.27%， 9.96%， 0.53%， 6.85%， 3.05% and 37.52%， respectively. In 12 batches of RRP， the contents of the above seven sugars were 10.62%， 11.01%， 1.25%， 3.35%， 1.12%， 28.16% and 6.39%， respectively. The results of multivariate statistical analysis showed that fresh RR， raw RR and RRP could be distinguished from each other by the contents of the 7 sugars， and the main differential components were stachyose， sucrose， raffinose and manninotriose. ConclusionIn terms of oligosaccharides， the contents and types of saccharides in different herbs and decoction pieces of RR are quite different， and the TLC identification method based on this can be used to distinguish raw RR from RRP， which can lay a foundation for improving the quality standard of RR and developing and applying oligosaccharides in different processed products of RR.

PI3Kγ and PI3Kδ have important regulatory roles in the immune system, and targeting these two subtypes helps to reshape the tumor microenvironment. PI3Kγ and PI3Kδ are potential targets for tumor immunotherapy. In this study, a series of new pyrazolopyrimidine derivatives were designed and synthesized on the basis of our previously reported PI3K inhibitors, resulting in the discovery of compound 16l as a potent and selective PI3Kγ/δ dual inhibitor. Compound 16l demonstrated strong biochemical potencies against PI3Kγ and PI3Kδ with IC₅₀ values of 0.11 and 0.79 nmol·L^-1. In cell-based assays, it potently inhibited the PI3Kγ and PI3Kδ mediated Akt S473 phosphorylation with EC₅₀ values of 3 and 7 nmol·L^-1. In vivo, compound 16l exhibited acceptable pharmacokinetic properties in Sprague-Dawley (SD) rats and suppressed the tumor growth in a MC38 syngeneic mouse model. The animal experiments were approved by the Animal Ethics Committee of Hefei Institutes of Physical Science, Chinese Academy of Sciences (approval number: DWLL-2000-06). In addition, no appreciable human ether-a-go-go-related gene (hERG) inhibition was observed for compound 16l even at 30 μmol·L^-1. These results suggested that compound 16l might be a potential research tool for studying the PI3Kγ/δ mediated signaling pathways.

Objective To investigate the mechanism by which mycobacterial antigen 85B (Ag85B) inhibits autophagy and promotes apoptosis in Hodgkin lymphoma (HL) cells. Methods The clinical data and pathological tissue slides were retrospectively collected from 80 HL children and 30 children with reactive lymphadenopathy (control group) treated at the First Affiliated Hospital of Xinjiang Medical University. Immunohistochemical analysis was performed to assess the expression of microtubule-associated protein 1 light chain 3 (LC3),sequestosome 1 (P62/SQSTM1),and Beclin-1 in the pathological tissues of HL and control groups. Human Hodgkin lymphoma cells (HDLM-2) were divided into the HDLM-2 group and the HDLM-2+Ag85B groups (with Ag85B concentrations of 0.5,1,2,and 4 μg/mL). The CCK8 method was used to measure HDLM-2 cell proliferation;qRT-PCR was employed to detect the expression of LC3,P62,Beclin-1,Akt,and mTOR mRNA in cells. An apoptosis kit was used to detect cell apoptosis. Results The positive expression of LC3 and Beclin-1 in the HL group were higher than those in the control group (P<0.05),while the positive expression of P62 was lower than that in the control group (P<0.05). In stages Ⅲ-Ⅳ compared to stages Ⅰ-Ⅱ,the positive expression of LC3 and Beclin-1 increased,while the positive expression of P62 decreased (P<0.05). Cell experiment results showed that the HDLM-2+Ag85B group had suppressed cell proliferation compared to the HDLM-2 group,with decreased mRNA expression of LC3 and Beclin-1,and increased mRNA expression of P62,PI3K,Akt,and mTOR,leading to increased cell apoptosis. Notably,when Ag85B was at a concentration of 2 μg/mL,it had the strongest effect on HDLM-2 cells after 24 hours (P<0.05). Conclusions Autophagy is enhanced in children with HL and increases with disease stage. Ag85B can inhibit the proliferation and autophagy of HL tumor cells and promote apoptosis,possibly related to the activation of the PI3K/Akt/mTOR pathway.