1.Advances in oral distant targeted nanodelivery systems
Min SUN ; Chuan-sheng HUANG ; Li-ping WANG ; Xu-li RUAN ; Yun-li ZHAO ; Xin-chun WANG
Acta Pharmaceutica Sinica 2025;60(1):72-81
Due to patient compliance and convenience, oral medication is likely the most common and acceptable method of drug administration. However, traditional dosage forms such as tablets or capsules may lead to low drug bioavailability and poor therapeutic efficiency. Therefore, with advancements in material science and micro/nano manufacturing technology, various carriers have been developed to enhance drug absorption in the gastrointestinal tract. In this context, we initially discuss the key biological factors that hinder drug transport and absorption (including anatomical, physical, and biological factors). Building on this foundation, recent progress in both conventional and innovative oral drug delivery routes aimed at improving drug bioavailability and targeting is reviewed. Finally, we explore future prospects for oral drug delivery systems as well as potential challenges in clinical translation.
2.Relationship Between YWHAQ Expression and Clinicopathological Features and Prognosis of Patients with Gastric Adenocarcinoma
Xueqing LIU ; Libo YANG ; Linhai LI ; Ping SHENG ; Sicheng LIU ; Lihua LI
Cancer Research on Prevention and Treatment 2025;52(5):393-399
Objective To investigate the expression of YWHAQ protein in gastric adenocarcinoma tissues and its correlation with clinical pathological features and prognosis. Methods A total of 127 patients with gastric cancer who underwent radical surgery were enrolled. Clinical data and postoperative cancer tissue samples were collected from the patients. Immunohistochemistry was used to detect the protein expression of YWHAQ in gastric adenocarcinoma tissues. The relationship between YWHAQ expression and clinical pathological features and prognosis was analyzed. Bioinformatics prediction was performed to identify potential pathways regulated by YWHAQ in gastric adenocarcinoma. A protein-protein interaction network for YWHAQ was constructed using the STRING database. Results YWHAQ gene expression was significantly higher in gastric adenocarcinoma tissues than in normal tissues (P<0.05). The expression level of the YWHAQ protein was significantly correlated with age, tumor invasion depth, lymph node metastasis, and tumor stage (P<0.05). Kaplan-Meier survival analysis showed that patients with high YWHAQ expression had significantly poorer long-term survival than those with low expression (P<
6.Research progress of natural product evodiamine-based antitumor drug design strategies
Zhe-wei XIA ; Yu-hang SUN ; Tian-le HUANG ; Hua SUN ; Yu-ping CHEN ; Chun-quan SHENG ; Shan-chao WU
Acta Pharmaceutica Sinica 2024;59(3):532-542
Natural products are important sources for the discovery of anti-tumor drugs. Evodiamine is the main alkaloid component of the traditional Chinese herb Wu-Chu-Yu, and it has weak antitumor activity. In recent years, a number of highly active antitumor candidates have been discovered with a significant progress. This article reviews the research progress of evodiamine-based antitumor drug design strategies, in order to provide reference for the development of new drugs with natural products as leads.
7.Effects of nurse-led multidisciplinary cooperative nutrition intervention on nutritional indicator of patients with stroke
Liuhua LAN ; Yaobin LONG ; Sheng LIANG ; Ping LI ; Huiling LIU
Chongqing Medicine 2024;53(1):89-92,97
Objective To explore the impact of nurse-led multidisciplinary collaborative nutrition inter-vention on the nutritional indicators in the patients with stroke.Methods A total of 100 patients with stroke admitted in this hospital from January to December 2020 were selected as the study subjects and divided into the observation group and control group by the propensity score matching,50 cases in each group.The control group was given the traditional nutrition intervention,and the observation group was given the nurse-led mul-tidisciplinary cooperative nutrition intervention.The blood,nutritional and biochemical indicators,physique monitoring indicators and nutritional risk indicators were compared between the two groups.Results The levels of total protein(TP),albumin(ALB),hemoglobin(Hb),prealbumin(PAB),body mass index(BMI),upper arm muscle circumference(AMC)and triceps skin fold thickness(TSF)on 21 d after admission in both groups were increased compared with those on 2,15 d after admission,and which on 15 d after admission were higher than those on 2 d after admission(P<0.05),moreover the above indicators levels on 15,21 d after ad-mission in the observation group were higher than those in the control group,and the differences were statisti-cally significant(P<0.05).Body mass index(BMI),upper arm circumference(AMC)and triceps skinfold thickness(TSF)in both groups on 21 d of admission were higher than those on 2,15 d of admission(P<0.05).The nutritional risk screening 2002(NRS2002)score on 21 d after admission in the two groups were decreased compared with those on 2,15 d after admission,while which on 15 d after admission was decreased compared with that on 2 d after admission,moreover the NRS2002 score on 15,21 d after admission in the ob-servation group were lower than those in the control group,and the differences were statistically significant(P<0.05).Conclusion Giving the nurse-led multidisciplinary cooperative nutrition intervention could im-prove the blood nutritional and biochemical indicators and physique monitoring indicators,and reduce the nu-tritional risk of the patients with stroke.
8.Comparison of Metabolomics Peak-Picking Parameter Optimization Algorithms Based on Chromatographic Peak Shape
Yang-Hao SHENG ; Jue WANG ; Yue-Ping JIANG
Chinese Journal of Analytical Chemistry 2024;52(1):130-137,中插44-中插46
Peak picking is one of the essential steps in non-targeted metabolomics data preprocessing based on liquid chromatography-mass spectrometry.Among various peak-picking algorithms,centWave algorithm based on continuous wavelet transform has been widely adopted in high-resolution mass spectrometry.In this study,the optimization effects of two centWave parameter optimization algorithms,IPO and centWave Sweep,were compared.Two datasets including metabolite standards and urine were used for comprehensive evaluation of these two algorithms with respect to three indicators:good peak shape ratio,reliable peak ratio,and repeatable peak ratio.To quickly and accurately distinguish good and bad peak shapes,three ensemble learning algorithms,random forest,adaboost and gradient boosting decision tree,were selected to establish a model for distinguishing chromatographic peak shape.Finally,according to the accuracy and F1 score,random forest was selected to establish a discrimination model(Accuracy 93.5%,F1 score 0.938).Compared with recommended parameters of XCMS Online,the proportion of reliable peaks and the proportion of repeatable peaks of two parameter optimization algorithms were improved in different datasets.However,when it came to the proportion of peaks with good shape,there was no significant difference between the optimized parameters and the parameters recommended by XCMS Online in different datasets.Furthermore,all three parameter settings resulted in relatively low proportions of peaks with good shape.The results indicated that the current parameter optimization algorithm was unable to improve the proportion of peaks with good shape.An excessive number of bad shape peaks could not only decrease the statistical power of analysis but also generate false positive results.Therefore,it was critical to perform additional confirmation of potential markers in the practical application of metabolomics researches.
9.Direct Determination of 23 Kinds of Per-and Polyfluoroalkyl Substances in Crude Plant Extracts by Liquid Chromatography-Tandem Mass Spectrometry Coupled with Online Solid Phase Extraction
Nan SHEN ; Tong-Zhu HAN ; Can-Can SHENG ; Xiu-Ping HE ; Jun-Hui CHEN ; Chen-Guang LIU ; Xian-Guo LI
Chinese Journal of Analytical Chemistry 2024;52(2):286-295,后插1-后插5
A new method for simultaneous determination of 23 kinds of per-and polyfluoroalkyl substances(PFASs)(13 kinds of perfluoro carboxylic acids,4 kinds of perfluoro sulfonic acids,and 6 kinds of new substitutes)in plant leaf tissue by ultra-high performance liquid chromatography-tandem mass spectrometry(UHPLC-MS/MS)using automatic online solid phase extraction(SPE)to remove the matrix interference components in plant crude extracts was developed.The plant leaf samples were extracted twice with 1%formic acid-methanol solution,then evaporated to dry,redissolved with 70%methanol solution,and directly injected for analysis.After 23 kinds of target PFASs were purified automatically by online SPE with a WAX column,the six-way valve was switched to rinse PFASs onto an alkaline mobile phase system-compatible C18 analytical column.Then,the 23 kinds of target PFASs were separated within 16 min by gradient elution using a binary mobile phase system of methanol/water(Containing 0.4%ammonium hydroxide).Tandem mass spectrometry was performed in multiple reaction monitoring(MRM)mode for online detection of various PFASs,and quantification was carried out by internal standard method.The results of the method validation showed that satisfactory average recoveries of 23 kinds of PFASs in plant leaf samples(64.2%-125.5%),precision(relative standard deviations(RSDs)of 0.7%-12.8%),linearity(R2>0.990),and sensitivity(the detection limits(S/N=3)were in the range of 0.02-0.50 μg/kg)were achieved.Finally,this method was used to detect PFASs in the marine green tide algae(Enteromorpha prolifera)and several tree leaves,and a total of 6 kinds of PFASs were detected,in which PFBA was the main contaminant.Compared with the reported offline SPE methods,the proposed online SPE technique significantly simplified the sample pretreatment process and provided an automatic,simple,and environment-friendly method for the routine monitoring of legacy and emerging PFASs in plant tissues.
10.Application of trauma-focused cognitive behavioral therapy among children and adolescents with childhood household dysfunction
Xinyi HOU ; Jingjing WAN ; Lianhua PENG ; Jiangming SHENG ; Nannan LONG ; Ping MAO
Journal of Central South University(Medical Sciences) 2024;49(1):145-152
Childhood household dysfunction(CHD)is a common adverse childhood experience,which brings the heavy physical and mental afflictions to children and adolescents.Trauma-focused cognitive behavioral therapy(TF-CBT)is an evidence-based psychotherapy that helps children and adolescents who have experienced childhood trauma with traumatic memories.It aims to enhance the coping abilities of CHD children and adolescents,thereby improving the negative effects caused by trauma and effectively reducing psychological burden.TF-CBT can effectively improve post-traumatic stress disorder,emotional and behavioral problems,and family function in children and adolescents with CHD.It is recommended to conduct high-quality original research in the future,develop targeted TF-CBT intervention plans based on potential predictive factors,adopt a combination of online and offline methods,and construct TF-CBT interventions suitable for the Chinese CHD population to meet the mental health service needs of CHD children and adolescents.

Result Analysis
Print
Save
E-mail