Huanglian Jiedutang （HLJDT）， as a classical formula for clearing heat and removing toxins， has been widely applied in the treatment of various clinical diseases in recent years， particularly during the fire-heat stage of stroke， where it has attracted considerable attention. Based on previous studies， this paper systematically elaborates on the research progress on the active components of HLJDT， its clinical application in ischemic stroke， and advances in studies on its mechanisms of action. Modern pharmacological studies have demonstrated that HLJDT contains multiple active components， including baicalin， geniposide， and berberine. In the treatment of ischemic stroke， these components exert therapeutic effects through multi-target， multi-pathway， and multi-level mechanisms. Clinical studies have shown that HLJDT can increase cerebral blood flow， reduce cerebral infarct volume， and improve post-stroke physical dysfunction in patients with ischemic stroke. Experimental studies have indicated that HLJDT can improve neurological function scores and increase cerebral perfusion in experimental stroke models. In addition， the mechanisms underlying the anti-ischemic stroke effects of HLJDT may be related to anti-inflammatory and antioxidant activities， promotion of angiogenesis， and regulation of amino acid and energy metabolism. Although existing studies have confirmed that HLJDT exhibits multi-target and multi-pathway synergistic therapeutic characteristics， further large-sample randomized controlled trials are still needed to verify its long-term efficacy and to further elucidate the dynamic interaction network among components， targets， and pathways. Combined with network pharmacology and molecular docking analyses， this study further clarifies the synergistic targets of the core components （berberine， baicalin， and geniposide）， providing a theoretical basis for in-depth research and clinical translation of HLJDT in the treatment of ischemic stroke.

ObjectiveTo observe and analyze the plasma metabolite differences among colorectal cancer patients with spleen-qi deficiency， damp-heat stasis-toxin syndrome（SRYD）， non-spleen-qi deficiency， damp-heat stasis-toxin syndrome（non-SRYD）， and normal human beings（Normal）， aiming to identify unique metabolites specific to SRYD colorectal cancer patients and their potential biomarkers. MethodsBased on the diagnostic criteria of SRYD and non-SRYD colorectal cancer， 30 patients were included， including 10 patients with SRYD colorectal cancer and 20 patients with non-SRYD colorectal cancer， while 10 individuals were recruited for the Normal group. Metabolome sequencing of plasma from the three groups was performed by ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS）. Multivariate statistical analysis were performed by principal component analysis（PCA） and partial least squares-discriminant analysis（PLS-DA）， and the intergroup differential metabolites were identified based on variable importance in the projection（VIP） value>1 and t-test P<0.05. And pathway enrichment analysis based on Kyoto Encyclopedia of Genes and Genomes（KEGG） was performed to explore the metabolites and metabolic pathways specific to SRYD colorectal cancer patients. ResultsMetabolome sequencing results showed some differences in metabolic profiles between the groups. A total of 111 plasma differential metabolites were found in the SRYD group and the Normal group， of which 31 were up-regulated and 80 were down-regulated， mainly including stearoyl lysophosphatidylcholine， indole-3-acrylic acid， and dehydroepiandrosterone sulfate（P<0.05）. The non-SRYD group exhibited 97 differentially expressed metabolites compared to the Normal group， with 36 up-regulated and 61 down-regulated， mainly including stearoyl lysophosphatidylcholine， sphingosine， and palmitoyl lysophosphatidylcholine（P<0.05）. And the SRYD group exhibited 19 differentially expressed metabolites compared to the non-SRYD group， of which 5 were up-regulated and 14 were down-regulated， mainly including dihydrosphingosine， palmitic acid， and linoleoylethanolamide（P<0.05）. The significant differential metabolites were subjected to KEGG analysis to obtain significantly enriched metabolic pathways in each group， and the results showed that 11 metabolic pathways such as primary bile acid synthesis， cholesterol metabolism and bile secretion were differential signaling pathways specific to SRYD colorectal cancer. Further retrieval of the above key signaling pathways showed that bile acids were up-regulated in both bile secretion and primary bile acid synthesis pathways， and there was a trend of up-regulation of glycochenodeoxycholic acid， taurochenodeoxycholic acid， and chenodeoxycholic acid. ConclusionPrimary bile acid synthesis， cholesterol metabolism， and bile secretion-related pathways may be differential signaling pathways specific to SRYD colorectal cancer， and bile acid is a core molecule in the metabolic pathway， which can serve as potential biomarkers closely related to the development and progression of SRYD colorectal cancer.

ObjectiveTo observe and analyze the plasma metabolite differences among colorectal cancer patients with spleen-qi deficiency， damp-heat stasis-toxin syndrome（SRYD）， non-spleen-qi deficiency， damp-heat stasis-toxin syndrome（non-SRYD）， and normal human beings（Normal）， aiming to identify unique metabolites specific to SRYD colorectal cancer patients and their potential biomarkers. MethodsBased on the diagnostic criteria of SRYD and non-SRYD colorectal cancer， 30 patients were included， including 10 patients with SRYD colorectal cancer and 20 patients with non-SRYD colorectal cancer， while 10 individuals were recruited for the Normal group. Metabolome sequencing of plasma from the three groups was performed by ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS）. Multivariate statistical analysis were performed by principal component analysis（PCA） and partial least squares-discriminant analysis（PLS-DA）， and the intergroup differential metabolites were identified based on variable importance in the projection（VIP） value>1 and t-test P<0.05. And pathway enrichment analysis based on Kyoto Encyclopedia of Genes and Genomes（KEGG） was performed to explore the metabolites and metabolic pathways specific to SRYD colorectal cancer patients. ResultsMetabolome sequencing results showed some differences in metabolic profiles between the groups. A total of 111 plasma differential metabolites were found in the SRYD group and the Normal group， of which 31 were up-regulated and 80 were down-regulated， mainly including stearoyl lysophosphatidylcholine， indole-3-acrylic acid， and dehydroepiandrosterone sulfate（P<0.05）. The non-SRYD group exhibited 97 differentially expressed metabolites compared to the Normal group， with 36 up-regulated and 61 down-regulated， mainly including stearoyl lysophosphatidylcholine， sphingosine， and palmitoyl lysophosphatidylcholine（P<0.05）. And the SRYD group exhibited 19 differentially expressed metabolites compared to the non-SRYD group， of which 5 were up-regulated and 14 were down-regulated， mainly including dihydrosphingosine， palmitic acid， and linoleoylethanolamide（P<0.05）. The significant differential metabolites were subjected to KEGG analysis to obtain significantly enriched metabolic pathways in each group， and the results showed that 11 metabolic pathways such as primary bile acid synthesis， cholesterol metabolism and bile secretion were differential signaling pathways specific to SRYD colorectal cancer. Further retrieval of the above key signaling pathways showed that bile acids were up-regulated in both bile secretion and primary bile acid synthesis pathways， and there was a trend of up-regulation of glycochenodeoxycholic acid， taurochenodeoxycholic acid， and chenodeoxycholic acid. ConclusionPrimary bile acid synthesis， cholesterol metabolism， and bile secretion-related pathways may be differential signaling pathways specific to SRYD colorectal cancer， and bile acid is a core molecule in the metabolic pathway， which can serve as potential biomarkers closely related to the development and progression of SRYD colorectal cancer.

Cardiac arrest (CA) is a critical condition in the field of cardiovascular medicine. Despite successful resuscitation, patients continue to have a high mortality rate, largely due to post CA syndrome (PCAS). However, the injury and pathophysiological mechanisms underlying PCAS remain unclear. Experimental animal models are valuable tools for exploring the etiology, pathogenesis, and potential interventions for CA and PCAS. Current CA animal models include electrical induction of ventricular fibrillation (VF), myocardial infarction, high potassium, asphyxia, and hemorrhagic shock. Although these models do not fully replicate the complexity of clinical CA, the mechanistic insights they provide remain highly relevant, including post-CA brain injury (PCABI), post-CA myocardial dysfunction (PAMD), systemic ischaemia/reperfusion injury (IRI), and the persistent precipitating pathology. Summarizing the methods of establishing CA models, the challenges encountered in the modeling process, and the mechanisms of PCAS can provide a foundation for developing standardized CA modeling protocols.
Animals ; Disease Models, Animal ; Post-Cardiac Arrest Syndrome/physiopathology* ; Heart Arrest/physiopathology* ; Humans ; Ventricular Fibrillation/complications*

Objective:To investigate the application value of cardiac magnetic resonance imaging(CMR) in evaluating the perioperative risk of surgical treatment in patients of coronary artery disease and heart failure with reduced ejection fraction.Methods:A total of 78 patients diagnosed with CAD and HFrEF who underwent CABG in Beijing Anzhen Hospital from January 2018 to October 2021 were retrospectively enrolled. All patients underwent CMR examination before CABG. The perioperative data of the two groups were compared, and the risk factors that may lead to perioperative MACCE were analyzed by LASSO regression. Then, logistic regression was used to establish a prediction model and internal validation was performed to evaluate the diagnostic efficiency and accuracy of the model by Bootstrap method. Results:There were 24 patients(30.8%) with perioperative MACCE and 54 patients(69.2%) without perioperative MACCE. LASSO regression was used to screen out three factors related to the outcome. Multivariate logistic regression analysis showed that LGE in the third and eighth segment of left ventricle and diastolic radial strain rate were independent risk factors for perioperative MACCE. The area under the curve of the prediction model constructed with CMR was 0.799(95% CI: 0.696-0.901), so the discrimination was good. The calibration curve showed that the prediction curve was basically fit to the standard curve, and the Hosmer- Lemeshow test P=0.797, indicating high prediction accuracy. Conclusion:CMR is a valuable test for evaluating perioperative risk in patients with coronary heart disease complicated with HFrEF. To establish the risk prediction model combined with CMR can provide some reference for the assessment of perioperative risk in these patients undergoing surgical treatment.

Digital screening incorporates technology into the disease assessment process and plays a significant role in large-scale screening for mild cognitive impairment(MCI)within communities.This consensus systematically reviews and evaluates the existing evidence regarding the effectiveness of digital screening for MCI in these settings.The working group has integrated the perspectives of experts from diverse fields, including clinical practice, scientific research, and industry, to clarify the definitions of digital-related terms.Furthermore, the consensus presents 12 recommendations that outline the main classifications of tools, basic elements to consider, target individuals, screening frequency, and management strategies for digital screening, while also indicating future development directions.The aim is to optimize early diagnosis and treatment strategies for MCI and to promote the advancement of digital screening in cognitive health management for middle-aged and older adults in community settings.

Digital screening incorporates technology into the disease assessment process and plays a significant role in large-scale screening for mild cognitive impairment(MCI)within communities.This consensus systematically reviews and evaluates the existing evidence regarding the effectiveness of digital screening for MCI in these settings.The working group has integrated the perspectives of experts from diverse fields, including clinical practice, scientific research, and industry, to clarify the definitions of digital-related terms.Furthermore, the consensus presents 12 recommendations that outline the main classifications of tools, basic elements to consider, target individuals, screening frequency, and management strategies for digital screening, while also indicating future development directions.The aim is to optimize early diagnosis and treatment strategies for MCI and to promote the advancement of digital screening in cognitive health management for middle-aged and older adults in community settings.

Objective:To investigate the application value of cardiac magnetic resonance imaging(CMR) in evaluating the perioperative risk of surgical treatment in patients of coronary artery disease and heart failure with reduced ejection fraction.Methods:A total of 78 patients diagnosed with CAD and HFrEF who underwent CABG in Beijing Anzhen Hospital from January 2018 to October 2021 were retrospectively enrolled. All patients underwent CMR examination before CABG. The perioperative data of the two groups were compared, and the risk factors that may lead to perioperative MACCE were analyzed by LASSO regression. Then, logistic regression was used to establish a prediction model and internal validation was performed to evaluate the diagnostic efficiency and accuracy of the model by Bootstrap method. Results:There were 24 patients(30.8%) with perioperative MACCE and 54 patients(69.2%) without perioperative MACCE. LASSO regression was used to screen out three factors related to the outcome. Multivariate logistic regression analysis showed that LGE in the third and eighth segment of left ventricle and diastolic radial strain rate were independent risk factors for perioperative MACCE. The area under the curve of the prediction model constructed with CMR was 0.799(95% CI: 0.696-0.901), so the discrimination was good. The calibration curve showed that the prediction curve was basically fit to the standard curve, and the Hosmer- Lemeshow test P=0.797, indicating high prediction accuracy. Conclusion:CMR is a valuable test for evaluating perioperative risk in patients with coronary heart disease complicated with HFrEF. To establish the risk prediction model combined with CMR can provide some reference for the assessment of perioperative risk in these patients undergoing surgical treatment.

Opioid analgesics are currently known as the best analgesics. However， toxicity and side effects such as constipation， tolerance and addiction severely limit their clinical application. With the in-depth understanding of the signal transduction mechanism of opioid receptors and the continuous advancement of drug design technology， researchers have managed to develop many promising new methods to get low-toxic and more efficient opioid analgesics， which are different from the traditional morphine skeleton structure modifications. This article focuses on three new research strategies of G-protein biased activation，“ one drug-multiple targets” and peripheral activation. The basic principles of relative separation of analgesic activity and adverse drug reaction by each strategy are introduced， and the latest research progress of representative drugs is briefly reviewed. Among them， the recently approved novel opioid analgesics oliceridine and tegileridine are G-protein biased μ-opioid receptor agonists， Cebranopadol is a typical “one drug-multiple targets” analgesic， and NFEPP is a representative drug of peripheral opioid receptor agonists. The above several strategies complement each other and provide reference for the development of new opioid analgesic drugs.

This article summarized Professor Zhu Renkang's experience in treating chronic eczema with Ziyin Chushi Decoction.Professor Zhu Renkang believes that eczema's onset is inseparable from pathogenic dampness.Pathogenic dampness runs through all stages of the disease.Stage of attack is dominated by excessive pathogen.Pathogenic wind attacks the exterior,while the muscular interstices is not dense,which makes nutritive yin leak out and stagnate as pathogenic dampness,then wind and dampness combined with each other.Chronic stage is dominated by yin deficiency.Long-term illness damages healthy qi,and pathogenic dampness conceals in the body,which makes deficiency of nutritive yin inside and dryness outside.Professor Zhu Renkang focuses on the characteristics of chronic eczema characterized by deficiency of yin and retention of dampness pathogens.He establishes Ziyin Chushi Decoction,and emphasizes that nutritive yin and pathogenic dampness have the same origin but different paths and can exist simultaneously.The combined utilization of nourishing yin and eliminating dampness can restore yin without helping dampness,remove dampness without harming yin,which have achieved satisfactory efficacy.