Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

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.

A growing body of research points out that gut microbiota plays a key role in tumor immunotherapy. By optimizing the composition of intestinal microbiota, it is possible to effectively improve immunotherapy resistance and enhance its therapeutic effect. This article comprehensively analyzes the mechanism of intestinal microbiota influencing tumor immunotherapy resistance, expounds the current strategies for targeted regulation of intestinal microbiota, such as traditional Chinese medicine and plant components, fecal microbiota transplantation, probiotics, prebiotics and dietary therapy, and explores the potential mechanisms of these strategies to improve patients' resistance to tumor immunotherapy. At the same time, the article also briefly discusses the prospects and challenges of targeting intestinal microbiota to improve tumor immunotherapy resistance, which provides a reference for related research to help the strategy research of reversing tumor immunotherapy resistance.

Twelve compounds were isolated from the rice fermentation extracts of Penicillium expansum GY618 by silica column chromatography, Sephadex gel column chromatography, ODS column chromatography and semi preparative HPLC methods. They were determined as 11-hydroxyl-penicitrinone F (1), penicitrinone F (2), betulin (3), erythrodiol (4), ergosterol (5), ergost-5α,8α-epidioxy-6,22-dien-3β-ol (6), (5α,8α-epidioxy-(22E,24R)-ergosta-6,9(11),22-trien-3β-ol) (7), 5α,8α-epidioxy-(22E,24R)-23-methylergosta-6,22-dien-3β-ol (8), 5α,8α-epidioxy- 23,24(R)-dimethylcholesta-6,9(11),22-trien-3β-ol (9), dankasterone A (10), (17R)-4-hydroxy-17-methylincisterol (11) and ergosta-4,6,8(14),22-tetraen-3-one (12), through mass spectrometer, nuclear magnetic resonance (NMR) and comparison with the literature. Compound 1 was a new compound and compounds 2-4, 6-12 were isolated from Penicillium expansum fungus for the first time. The tyrosinase inhibitory activity experiment showed that compounds 1, 3 and 12 showed certain inhibitory activity against tyrosinase with IC₅₀ values of (75 ± 9), (69 ± 8) and (64 ± 2) μmol·L^-1, respectively. The IC₅₀ of other compounds were all greater than 100 μmol·L^-1, while IC₅₀ of the positive control kojic acid was (46 ± 4) μmol·L^-1.

ObjectiveTo explore the protective effect and underlying mechanism of Gegen Qinliantang on cognitive function in db/db mice with diabetic cognitive impairment （DCI）. MethodsThirty-two 8-week-old male db/db mice were randomly assigned to the model group， dapagliflozin group （1.0 mg·kg^-1·d^-1）， low-dose Gegen Qinliantang group （6.24 g·kg^-1·d^-1）， and high-dose Gegen Qinliantang group （24.96 g·kg^-1·d^-1）. Eight db/m mice served as the normal group. All mice were administered the corresponding treatment once daily by gavage for 10 consecutive weeks. Body weight and fasting blood glucose （FBG） were dynamically monitored. The Morris water maze test was used to evaluate cognitive function. Hematoxylin-eosin （HE） staining and Nissl staining were used to observe pathological changes in the hippocampus. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in hippocampal tissue. Immunofluorescence double staining was used to detect the co-expression of M1 microglial marker CD16/32 and ionized calcium-binding adapter molecule 1 （IBA1） in the hippocampus. Western blot analysis was performed to detect the protein expression of postsynaptic density protein 95 （PSD-95）， synapsin （SYN）， nuclear factor-κB p65 （NF-κB p65）， and phosphorylated NF-κB p65 （p-NF-κB p65） in the hippocampus. ResultsCompared with the normal group， the model group showed significantly increased body weight and FBG levels （P<0.01）， significantly prolonged escape latency and reduced platform crossings in the Morris water maze test （P<0.01）， disordered arrangement of hippocampal neurons， nuclear pyknosis， increased neuronal necrosis， reduced Nissl bodies， decreased expression of synaptic proteins PSD-95 and SYN （P<0.01）， increased CD16/32⁺ /IBA1⁺ positive rate， elevated levels of TNF-α and IL-1β， and an increased p-NF-κB p65/NF-κB p65 ratio （P<0.01）. Compared with the model group， the dapagliflozin group exhibited significantly reduced FBG levels at weeks 5 and 10 （P<0.05， P<0.01） and increased body weight. The high-dose Gegen Qinliantang group showed significantly reduced FBG at week 10 （P<0.05）. Escape latency was significantly reduced on days 3 and 5 of the water maze test in the dapagliflozin group and on day 5 in the high-dose Gegen Qinliantang group （P<0.05）. Platform crossings were significantly increased in both the dapagliflozin group and the high-dose Gegen Qinliantang group （P<0.05）. Hippocampal pathological damage was alleviated to varying degrees in the dapagliflozin group and the low- and high-dose Gegen Qinliantang groups， with significantly increased expression of PSD-95 and SYN （P<0.01）. Further studies revealed that both low- and high-dose Gegen Qinliantang reduced hippocampal IL-1β levels and the CD16/32⁺/IBA1⁺ positive rate of microglia， while the high-dose group also significantly reduced hippocampal TNF-α levels and the p-NF-κB p65/NF-κB p65 （P<0.05， P<0.01）. ConclusionGegen Qinliantang can improve hyperglycemia， cognitive dysfunction， and synaptic damage in DCI， inhibit M1 polarization of microglia and neuroinflammation， and its mechanism may be related to the inhibition of NF-κB activation.

ObjectiveTo explore the protective effect and underlying mechanism of Gegen Qinliantang on cognitive function in db/db mice with diabetic cognitive impairment （DCI）. MethodsThirty-two 8-week-old male db/db mice were randomly assigned to the model group， dapagliflozin group （1.0 mg·kg^-1·d^-1）， low-dose Gegen Qinliantang group （6.24 g·kg^-1·d^-1）， and high-dose Gegen Qinliantang group （24.96 g·kg^-1·d^-1）. Eight db/m mice served as the normal group. All mice were administered the corresponding treatment once daily by gavage for 10 consecutive weeks. Body weight and fasting blood glucose （FBG） were dynamically monitored. The Morris water maze test was used to evaluate cognitive function. Hematoxylin-eosin （HE） staining and Nissl staining were used to observe pathological changes in the hippocampus. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in hippocampal tissue. Immunofluorescence double staining was used to detect the co-expression of M1 microglial marker CD16/32 and ionized calcium-binding adapter molecule 1 （IBA1） in the hippocampus. Western blot analysis was performed to detect the protein expression of postsynaptic density protein 95 （PSD-95）， synapsin （SYN）， nuclear factor-κB p65 （NF-κB p65）， and phosphorylated NF-κB p65 （p-NF-κB p65） in the hippocampus. ResultsCompared with the normal group， the model group showed significantly increased body weight and FBG levels （P<0.01）， significantly prolonged escape latency and reduced platform crossings in the Morris water maze test （P<0.01）， disordered arrangement of hippocampal neurons， nuclear pyknosis， increased neuronal necrosis， reduced Nissl bodies， decreased expression of synaptic proteins PSD-95 and SYN （P<0.01）， increased CD16/32⁺ /IBA1⁺ positive rate， elevated levels of TNF-α and IL-1β， and an increased p-NF-κB p65/NF-κB p65 ratio （P<0.01）. Compared with the model group， the dapagliflozin group exhibited significantly reduced FBG levels at weeks 5 and 10 （P<0.05， P<0.01） and increased body weight. The high-dose Gegen Qinliantang group showed significantly reduced FBG at week 10 （P<0.05）. Escape latency was significantly reduced on days 3 and 5 of the water maze test in the dapagliflozin group and on day 5 in the high-dose Gegen Qinliantang group （P<0.05）. Platform crossings were significantly increased in both the dapagliflozin group and the high-dose Gegen Qinliantang group （P<0.05）. Hippocampal pathological damage was alleviated to varying degrees in the dapagliflozin group and the low- and high-dose Gegen Qinliantang groups， with significantly increased expression of PSD-95 and SYN （P<0.01）. Further studies revealed that both low- and high-dose Gegen Qinliantang reduced hippocampal IL-1β levels and the CD16/32⁺/IBA1⁺ positive rate of microglia， while the high-dose group also significantly reduced hippocampal TNF-α levels and the p-NF-κB p65/NF-κB p65 （P<0.05， P<0.01）. ConclusionGegen Qinliantang can improve hyperglycemia， cognitive dysfunction， and synaptic damage in DCI， inhibit M1 polarization of microglia and neuroinflammation， and its mechanism may be related to the inhibition of NF-κB activation.

Objective To compare the application effects of plankton multiplex polymerase chain reac-tion-capillary electrophoresis(PCR-CE),SYBR Green Ⅰ real-time quantitative PCR(qPCR)and microwave digestion-vacuum filtration-automated scanning electron microscopy(MD-VF-Auto SEM)in the diagnosis of drowning.Methods Lung,liver and kidney tissues from 212 drowned corpses and 30 non-drowned corpses were examined respectively by the three drowning-related plankton testing methods,and the detection rates of plankton in each tissue by three methods were compared.Results In drowned corpses,the total detection rates of PCR-CE,qPCR,and MD-VF-Auto SEM were 93.9%,96.2%,and 95.3%,respectively,with no statistically significant difference(P>0.05).The detection rate of lung tissue by MD-VF-Auto SEM(100%)was higher than those of PCR-CE and qPCR(P<0.05),and there was no significant difference in the detection rates of the three methods in liver or kidney tissues(P>0.05).In non-drowning corpses,a small number of diatoms(less than 10 cells/10 g)were detected by MD-VF-Auto SEM method,only in liver and kidney tissues,while the other two methods yielded negative results for all tissues.Conclusion All three methods have good efficacy in the examination of drowned corpses.The MD-VF-Auto SEM method directly observes diatom morpho-logical characteristics through scanning electron microscopy,and the qualitative and quantitative analy-ses are intuitive and accurate.It has great advantages in the examination of difficult degradation samples.The PCR-CE method and qPCR method have a low sample demand(0.5 g),are easy to operate and have short detection time(4-7 h).They are easy to be applied in the grassroots depart-ments and are suitable for the rapid determination of drowned corpses in routin cases.The combina-tion of the two DNA methods with the MD-VF-Auto SEM method can increase the detection rate of plankton,ensuring the reliability of examination results.This combined use is of significant importance in the application of drowning diagnosis.

Diabetic cognitive impairment （DCI） has an insidious onset and progressive and irreversible development. There is currently no first-line treatment for DCI. Early intervention of diabetes with traditional Chinese medicine （TCM） can effectively control blood sugar and improve cognitive impairment， which has significant advantages. As a representative of bitter and cold heat-clearing medicines， Coptidis Rhizoma， known for its abilities to clear heat and dampness and remove turbidity and toxins， has been widely used in the clinical prevention and treatment of diabetes， Alzheimer's disease， vascular dementia， and other cognitive impairments. This article systematically summarized relevant literature and observed that Coptidis Rhizoma has shown good potential in the prevention and treatment of DCI with its active ingredients such as berberine and quercetin， drug pairs such as Coptidis Rhizoma-Scutellariae Radix， Coptidis Rhizoma-Acorus Tatarinowii Rhizoma， Coptidis Rhizoma-Pinelliae Rhizoma， Coptidis Rhizoma-Zingiberis Rhizoma， and prescriptions such as Gegen Qinliantang， Huanglian Jiedutang， Banxia Xiexintang， Huanglian Wendantang， Jiaotai Wan， Danggui liuhuangtang， and related Chinese patent medicines. Its mechanism may be related to regulating glucose metabolism， improving insulin resistance， improving amyloid β-protein （Aβ） deposition and tau protein phosphorylation， inhibiting neuroinflammation and oxidative stress， and regulating the "microbe-gut-brain axis". The article systematically reviewed the research progress of Coptidis Rhizoma and its prescriptions in the prevention and treatment of DCI， aiming to preliminarily explain the scientific connotation of Coptidis Rhizoma and provide a basis for its clinical application in the prevention and treatment of DCI.

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.