ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveTo investigate the expression of prefrontal cortical neurons， methyltransferase-like 3 （METTL3）， fat mass and obesity-associated gene （FTO）， and AlkB homolog 5 （ALKBH5） proteins in a mouse model of post-traumatic stress disorder （PTSD）. MethodsA PTSD mouse model was established using a single prolonged stress and foot shock stimulation （SPSS） method. The despair， anxiety， and learning and memory functions of PTSD mice were assessed through the open field test， Y-maze test， and forced swimming test. Neuronal damage was detected via HE and Nissl staining. The expression levels of METTL3， FTO， ALKBH5， and neuronal nuclear protein （NEUN） were assessed by Western blot and immunofluorescence staining. ResultsCompared to control group， PTSD mice subjected to SPSS exhibited signs of despair， anxiety， and impaired learning and memory. HE and Nissl staining results showed neuronal damage in the prefrontal cortex of PTSD mice. Western blot and immunofluorescence staining results showed that the expression of the m6A-related proteins METTL3 and FTO decreased， while the expression of ALKBH5 increased in the prefrontal cortex. Additionally， NEUN protein levels showed a declining trend. ConclusionThe pathogenesis of PTSD may be associated with neuronal damage in the prefrontal cortex and alterations in m6A methylation proteins.

The classic formula Fangji Fulingtang is from ZHANG Zhongjing's Synopsis of the Golden Chamber in the Eastern Han dynasty. It is composed of Stephaniae Tetrandrae Radix， Astragali Radix， Cinnamomi Ramulus， Poria， and Glycyrrhizae Radix et Rhizoma， with the effects of reinforcing Qi and invigorating spleen， warming Yang and promoting urination. By a review of ancient medical books， this paper summarizes the composition， original plants， processing， dosage， decocting methods， indications and other key information of Fangji Fulingtang， aiming to provide a literature basis for the research， development， and clinical application of preparations based on this formula. Synonyms of Fangji Fulingtang exist in ancient medical books， while the formula composition in the Synopsis of the Golden Chamber is more widespread and far-reaching. In this formula， Stephaniae Tetrandrae Radix， Astragali Radix， Cinnamomi Ramulus， Poria， and Glycyrrhizae Radix et Rhizoma are the dried root of Stephania tetrandra， the dried root of Astragalus embranaceus var. mongholicus， the dried shoot of Cinnamomum cassia， the dried sclerotium of Poria cocos， and the dried root and rhizome of Glycyrrhiza uralensis， respectively. Fangji Fulingtang is mainly produced into powder， with the dosage and decocting method used in the past dynasties basically following the original formula. Each bag is composed of Stephaniae Tetrandrae Radix 13.80 g， Astragali Radix 13.80 g， Cinnamomi Ramulus 13.80 g， Poria 27.60 g， and Glycyrrhizae Radix et Rhizoma 9.20 g. The raw materials are purified， decocted in water from 1 200 mL to 400 mL， and the decoction should be taken warm， 3 times a day. Fangji Fulingtang was originally designed for treating skin edema， and then it was used to treat impediment in the Qing dynasty. In modern times， it is mostly used to treat musculoskeletal and connective tissue diseases and circulatory system diseases， demonstrating definite effects on various types of edema and heart failure. This paper clarifies the inheritance of Fangji Fulingtang and reveals its key information （attached to the end of this paper）， aiming to provide a theoretical basis for the development of preparations based on this formula.

The classic formula Fangji Fulingtang is from ZHANG Zhongjing's Synopsis of the Golden Chamber in the Eastern Han dynasty. It is composed of Stephaniae Tetrandrae Radix， Astragali Radix， Cinnamomi Ramulus， Poria， and Glycyrrhizae Radix et Rhizoma， with the effects of reinforcing Qi and invigorating spleen， warming Yang and promoting urination. By a review of ancient medical books， this paper summarizes the composition， original plants， processing， dosage， decocting methods， indications and other key information of Fangji Fulingtang， aiming to provide a literature basis for the research， development， and clinical application of preparations based on this formula. Synonyms of Fangji Fulingtang exist in ancient medical books， while the formula composition in the Synopsis of the Golden Chamber is more widespread and far-reaching. In this formula， Stephaniae Tetrandrae Radix， Astragali Radix， Cinnamomi Ramulus， Poria， and Glycyrrhizae Radix et Rhizoma are the dried root of Stephania tetrandra， the dried root of Astragalus embranaceus var. mongholicus， the dried shoot of Cinnamomum cassia， the dried sclerotium of Poria cocos， and the dried root and rhizome of Glycyrrhiza uralensis， respectively. Fangji Fulingtang is mainly produced into powder， with the dosage and decocting method used in the past dynasties basically following the original formula. Each bag is composed of Stephaniae Tetrandrae Radix 13.80 g， Astragali Radix 13.80 g， Cinnamomi Ramulus 13.80 g， Poria 27.60 g， and Glycyrrhizae Radix et Rhizoma 9.20 g. The raw materials are purified， decocted in water from 1 200 mL to 400 mL， and the decoction should be taken warm， 3 times a day. Fangji Fulingtang was originally designed for treating skin edema， and then it was used to treat impediment in the Qing dynasty. In modern times， it is mostly used to treat musculoskeletal and connective tissue diseases and circulatory system diseases， demonstrating definite effects on various types of edema and heart failure. This paper clarifies the inheritance of Fangji Fulingtang and reveals its key information （attached to the end of this paper）， aiming to provide a theoretical basis for the development of preparations based on this formula.

OBJECTIVE To evaluate the efficacy， safety and cost-effectiveness of apixaban in the prevention and treatment of cancer-associated venous thromboembolism （CA-VTE）， and provide evidence-based reference for clinical treatment. METHODS Retrieved from PubMed， the Cochrane Library， CNKI， Wanfang， VIP database and other websites of health technology assessment （HTA）， systematic review/meta-analysis， pharmacoeconomic studies and HTA reports of apixaban in the prevention and treatment of CA-VTE were collected. After data extraction and quality evaluation， the results of the included study were analyzed descriptively. RESULTS A total of 23 literatures were included， involving 16 systematic review/meta-analysis and 7 pharmacoeconomic studies. In terms of efficacy， compared with placebo， prophylactic use of apixaban could significantly reduce the incidence of venous thromboembolism （VTE） in outpatient adult cancer patients receiving chemotherapy （P＜0.05）. Compared with low-molecular weight heparin （LMWH）， rivaroxaban and warfarin， there were no statistically significant differences in the incidence of VTE for apixaban （P＞0.05）； nevertheless， apixaban was ranked as the most preferable choice. For the treatment of patients with CA-VTE， compared with warfarin， apixaban could significantly reduce the recurrence rate of VTE （P＜0.05）. While compared with patients treated with LMWH， rivaroxaban， edoxaban and dabigatran， there were no statistically significant differences in the recurrence rates of VTE， deep venous thrombosis and pulmonary embolism among patients using apixaban （P＞0.05）. In terms of safety， compared with placebo， prophylactic use of apixaban showed a higher occurrence of major bleeding in outpatient adult cancer patients receiving chemotherapy （P＜0.05）， while compared withpatients treated with LMWH， rivaroxaban， and warfarin， there were no statistically significant differences in the incidence of major bleeding among patients using apixaban （P＞0.05）； despite this， apixaban was ranked as the most favorable option. For the treatment of patients with CA-VTE， compared with dalteparin， the incidence of major bleeding and all-cause mortality of apixaban were similar （P＞0.05）， while the incidence of clinically relevant non-major bleeding （CRNMB） was higher （P＜0.05）. Compared with edoxaban， the incidence of major bleeding of apixaban was reduced significantly （P＜0.05）， while there was no significant difference in the incidence of CRNMB， the incidence of clinically relevant bleeding and all-cause mortality （P＞0.05）. Compared with rivaroxaban， warfarin and dabigatran， there were no significant differences in the incidence of major bleeding， the incidence of CRNMB， the incidence of clinically relevant bleeding and all-cause mortality （P＞0.05）. In terms of cost-effectiveness， the researches in China showed that apixaban was cost-effective in preventing CA-VTE； foreign studies showed that apixaban was cost-effective in preventing and treating CA-VTE. CONCLUSIONS Apixaban is effective， safe and cost- effective in the prevention and treatment of CA-VTE.

Objective:To discuss whether safranal affects the proliferation,migration,and phenotypic transformation of the vascular smooth muscle cells(VSMCs)in a high-glucose environment and to clarify the function of safranal in the prevention and treatment of diabetic(DM)vascular complications.Methods:The SD rats were selected as experimental subjects;primary VSMCs were cultured from rat thoracic aortas and divided into control group,25 mmol·L-1 high glucose(HG)group,HG+20 μmol·L-1 safranal group,HG+40 μmol·L-1 safranal group,and HG+80 μmol·L-1 safranal group.The cells in control group received no treatment;the cells in 25 mmol·L-1 HG group were pretreated with 25 mmol·L-1 HG;the cells in HG+20,40,and 80 μmol·L-1 safranal groups were further treated with 20,40,and 80 μmol·L-1 safranal respectively for 48 h on the basis of 25 mmol·L-1 HG group.Cell counting kit-8(CCK-8)method was used to determine the appropriate concentration of safranal and detect the viabilities of the VSMCs in various groups;cell scratch healing assay was used to detect the scratch healing rates of the VSMCs in various groups;Transwell chamber assay was used to detect the numbers of the migration VSMCs in various groups;immunofluorescence method was used to detect the fluorescence intensities of alpha-smooth muscle actin(α-SMA)and rabbit anti-osteopontin(OPN)in the VSMCs in various groups;Western blotting method was used to detect the expression levels of OPN,α-SMA,and proliferating cell nuclear antigen(PCNA)in the VSMCs in various groups.Results:Under microscope,on the 4th day of in vitro culture,the spindle-shaped or triangular cells crawled out from the edge of the thoracic aorta tissue blocks,with long spindle being the most common morphology.On the 14th,the cells gradually covered the bottom of the dish;when cell density reached 80%-90%,the characteristic"hills and valleys"growth pattern appeared.Third-generation cells were taken for immunofluorescence identification;immunofluorescence staining with VSMC-specific marker α-SMA showed positive expression of α-SMA protein in the primarily cultured VSMCs.The CCK-8 assay results showed that compared with control group,the cell viability of the cells in 160 μmol·L-1 safranal group was significantly decreased(P<0.01),indicating toxic damage to the cells.Under the conditions of safranal concentrations at 20,40,and 80 μmol·L-1 respectively,after 48 h intervention on VSMCs,no significant adverse effect on cell viability was observed;considering both the effect and toxicity of safranal,these three concentrations were used in subsequent cell experiments.After 48 h intervention,compared with control group,the activity of the VSMCs in 25 mmol·L-1 HG group was increased(P<0.001);compared with 25 mmol·L-1 HG group,the activities of the VSMCs in HG+20,40,and 80 μmol·L-1 safranal groups were gradually decreased(P<0.05).The cell scratch healing assay and Transwell assay results showed that after 48 h intervention,the scratch healing rate of the VSMCs in 25 mmol·L-1 HG group was significantly higher than that in control group(P<0.01),and the number of transmembrane cells through the Transwell chamber was significantly increased(P<0.05);compared with 25 mmol·L-1 HG group,the scratch healing rates of the VSMCs in HG+20,40,and 80 μmol·L-1 safranal groups were gradually decreased(P<0.05),and the number of transmembrane cells was decreased(P<0.05).The immunofluorescence staining results showed that compared with control group,the fluorescence intensity of α-SMA protein in the VSMCs in 25 mmol·L-1 HG group was significantly weakened(P<0.001),while the fluorescence intensity of OPN protein was significantly enhanced(P<0.001);compared with 25 mmol·L-1 HG group,the fluorescence intensities of α-SMA protein in the VSMCs in HG+20,40,and 80 μmol·L-1 safranal groups were gradually increased(P<0.05),and the fluorescence intensities of OPN were gradually weakened(P<0.05).The Western blotting method results showed that compared with control group,the expression level of α-SMA protein in the VSMCs in 25 mmol·L-1 HG group was decreased(P<0.05),and the expression levels of PCNA and OPN proteins were increased(P<0.01);compared with 25 mmol·L-1 HG group,the expression level of α-SMA protein in the VSMCs in HG+20,40,and 80 μmol·L-1 safranal groups were increased(P<0.05),and the expression levels of PCNA and OPN proteins were decreased(P<0.05).Conclusion:Safranal can inhibit the proliferation,migration,and phenotypic transformation of the VSMCs induced by high glucose.

OBJECTIVES: Whether vortioxetine has a utility as an adjuvant drug in the treatment of bipolar depression remains controversial. This study aimed to validate the efficacy and safety of vortioxetine in bipolar depression. METHODS: Patients with bipolar Ⅱ depression were enrolled in this prospective, two-center, randomized, 12-week pilot trial. The main indicator for assessing treatment effectiveness was a Montgomery-Asberg Depression Rating Scale (MADRS) of ≥50%. All eligible patients initially received four weeks of lurasidone monotherapy. Patients who responded well continued to receive this kind of monotherapy. However, no-response patients were randomly assigned to either valproate or vortioxetine treatment for eight weeks. By comprehensively comparing the results of MADRS over a period of 4‍‒‍12 weeks, a systematic analysis was conducted to determine whether vortioxetine could be used as an adjuvant drug for treating bipolar depression. RESULTS: Thirty-seven patients responded to lurasidone monotherapy, and 60 patients were randomly assigned to the valproate or vortioxetine group for eight weeks. After two weeks of combined valproate or vortioxetine treatment, the MADRS score in the vortioxetine group was significantly lower than that in the valproate group. There was no difference in the MADRS scores between the two groups at 8 and 12 weeks. The incidence of side effects did not significantly differ between the valproate and vortioxetine groups. Importantly, three patients in the vortioxetine group appeared to switch to mania or hypomania. CONCLUSIONS This study suggested that lurasidone combination with vortioxetine might have potential benefits to bipolar II depression in the early stage, while disease progression should be monitored closely for the risk of switching to mania.
Humans ; Bipolar Disorder/drug therapy* ; Vortioxetine/therapeutic use* ; Male ; Female ; Middle Aged ; Adult ; Valproic Acid/administration & dosage* ; Lurasidone Hydrochloride/administration & dosage* ; Prospective Studies ; Treatment Outcome ; Pilot Projects ; Drug Therapy, Combination ; Sulfides/therapeutic use* ; Antidepressive Agents/therapeutic use*

The liver performs multiple life-sustaining functions. Hepatic diseases, including hepatitis, cirrhosis, and hepatoma, pose significant health and economic burdens globally. Along with the advances in nanotechnology, mesoporous silica nanoparticles (MSNs) exhibiting diversiform size and shape, distinct morphological properties, and favorable physico-chemical features have become an ideal choice for drug delivery systems and inspire alternative thinking for the management of hepatic diseases. Initially, we introduce the physiological structure of the liver and highlight its intrinsic cell types and correlative functions. Next, we detail the synthesis methods and physicochemical properties of MSNs and their capacity for controlled drug loading and release. Particularly, we discuss the interactions between liver and MSNs with respect to the passive targeting mechanisms of MSNs within the liver by adjusting their particle size, pore diameter, surface charge, hydrophobicity/hydrophilicity, and surface functionalization. Subsequently, we emphasize the role of MSNs in regulating liver pathophysiology, exploring their value in addressing liver pathological states, such as tumors and inflammation, combined with multi-functional designs and intelligent modes to enhance drug targeting and minimize side effects. Lastly, we put forward the problems, challenges, opportunities, as well as clinical translational issues faced by MSNs in the management of liver diseases.

OBJECTIVES: To compare the commonly used methods for analyzing treatment switching in clinical trials to facilitate selection of optimal methods in different scenarios. METHODS: Based on the data characteristics of patient conversion in oncology clinical trials, we simulated the survival time of patients across different scenarios and compared the bias, mean square error and coverages of the treatment effects derived from different methods. RESULTS: The sample size had an almost negligible impact on the outcomes of the various methods. Compared to conventional methods, more complex methods (RPSFTM, IPCW, TSE, and IPE) resulted in lower errors across different scenarios. The IPCW method could cause a significant increase in errors in cases where the probability of conversion was high. The TSE method had the lowest error and mean squared error when the risk was low and the probability of conversion was high. The IPE method had an obvious advantage in the scenario with a low probability of conversion, but it may slightly underestimate the treatment effect when the inflation factor was small. CONCLUSIONS The choice of a specific method for analyzing cohort transition should be made based on considerations of both the probability of conversion and inflation factor in different scenarios.
Humans ; Clinical Trials as Topic/methods* ; Neoplasms/therapy*