1.Research progress of nano drug delivery system based on metal-polyphenol network for the diagnosis and treatment of inflammatory diseases
Meng-jie ZHAO ; Xia-li ZHU ; Yi-jing LI ; Zi-ang WANG ; Yun-long ZHAO ; Gao-jian WEI ; Yu CHEN ; Sheng-nan HUANG
Acta Pharmaceutica Sinica 2025;60(2):323-336
Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.
2.Effects of honey-processed Astragalus on energy metabolism and polarization of RAW264.7 cells
Hong-chang LI ; Ke PEI ; Wang-yang XIE ; Xiang-long MENG ; Zi-han YU ; Wen-ling LI ; Hao CAI
Acta Pharmaceutica Sinica 2025;60(2):459-470
In this study, RAW264.7 cells were employed to investigate the effects of honey-processed
3.Five new triterpenoid saponins from the kernels of Momordica cochinchinensis
Ru DING ; Jia-qi WANG ; Yi-yang LUO ; Yong-long HAN ; Xiao-bo LI ; Meng-yue WANG
Acta Pharmaceutica Sinica 2025;60(2):442-448
Five saponins were isolated from the kernels of
4.Clinical application of an artificial intelligence system in predicting benign or malignant pulmonary nodules and pathological subtypes
Zhuowen YANG ; Zhizhong ZHENG ; Bin LI ; Yiming HUI ; Mingzhi LIN ; Jiying DANG ; Suiyang LI ; Chunjiao ZHANG ; Long YANG ; Liang SI ; Tieniu SONG ; Yuqi MENG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(08):1086-1095
Objective To evaluate the predictive ability and clinical application value of artificial intelligence (AI) systems in the benign and malignant differentiation and pathological type of pulmonary nodules, and to summarize clinical application experience. Methods A retrospective analysis was conducted on the clinical data of patients with pulmonary nodules admitted to the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from February 2016 to February 2025. Firstly, pulmonary nodules were divided into benign and non-benign groups, and the discriminative abilities of AI systems and clinicians were compared. Subsequently, lung nodules reported as precursor glandular lesions (PGL), microinvasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) in postoperative pathological results were analyzed, comparing the efficacy of AI systems and clinicians in predicting the pathological type of pulmonary nodules. Results In the analysis of benign/non-benign pulmonary nodules, clinical data from a total of 638 patients with pulmonary nodules were included, of which there were 257 males (10 patients and 1 patient of double and triple primary lesions, respectively) and 381 females (18 patients and 1 patient of double and triple primary lesions, respectively), with a median age of 55.0 (47.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis of the two groups of variables showed that, except for nodule location, the differences in the remaining variables were statistically significant (P<0.05). Multivariate logistic regression analysis showed that age, nodule type (subsolid pulmonary nodule), average density, spicule sign, and vascular convergence sign were independent influencing factors for non-benign pulmonary nodules, among which age, nodule type (subsolid pulmonary nodule), spicule sign, and vascular convergence sign were positively correlated with non-benign pulmonary nodules, while average density was negatively correlated with the occurrence of non-benign pulmonary nodules. The area under the receiver operating characteristic curve (AUC) of the malignancy risk value given by the AI system in predicting non-benign pulmonary nodules was 0.811, slightly lower than the 0.898 predicted by clinicians. In the PGL/MIA/IAC analysis, clinical data from a total of 411 patients with pulmonary nodules were included, of which there were 149 males (8 patients of double primary lesions) and 262 females (17 patients of double primary lesions), with a median age of 56.0 (50.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis results showed that, except for gender, nodule location, and vascular convergence sign, the differences in the remaining variables among the three groups of PGL, MIA, and IAC patients were statistically significant (P<0.05). Multinomial multivariate logistic regression analysis showed that the differences between the parameters in the PGL group and the MIA group were not statistically significant (P>0.05), and the maximum diameter and average density of the nodules were statistically different between the PGL and IAC groups (P<0.05), and were positively correlated with the occurrence of IAC as independent risk factors. The average AUC value, accuracy, recall rate, and F1 score of the AI system in predicting lung nodule pathological type were 0.807, 74.3%, 73.2%, and 68.5%, respectively, all better than the clinical physicians’ prediction of lung nodule pathological type indicators (0.782, 70.9%, 66.2%, and 63.7% respectively). The AUC value of the AI system in predicting IAC was 0.853, and the sensitivity, specificity, and optimal cutoff value were 0.643, 0.943, and 50.0%, respectively. Conclusion This AI system has demonstrated high clinical value in predicting the benign and malignant nature and pathological type of lung nodules, especially in predicting lung nodule pathological type, its ability has surpassed that of clinical physicians. With the optimization of algorithms and the adequate integration of multimodal data, it can better assist clinical physicians in formulating individualized diagnostic and treatment plans for patients with lung nodules.
5.The construction and application of a trauma limb salvage map in Shaanxi province.
Meng WANG ; Jian-Min LIU ; Xing-Bo DANG ; Long-Yang MA ; Gong-Liang DU ; Wei HU
Chinese Journal of Traumatology 2025;28(4):235-240
Trauma is an important cause of death in young- and middle-aged people. Trauma is comprehensive and includes many surgical specialties, and the surgical techniques of these specialties have long been mature. To reduce the mortality and disability rate of trauma patients, it is necessary to improve trauma management. Trauma has attracted attention in China and trauma treatment and care developed rapidly in recent years. To decrease traumatic mortality and disability rates, our team is committed to building an efficient trauma system in Shaanxi province and has successfully developed a trauma limb salvage map to address the high rates of amputation and disability in patients with limb injuries. This article elaborates on the construction experience of a trauma limb salvage map and its application details in Shaanxi province of China.
Humans
;
China
;
Limb Salvage/methods*
;
Wounds and Injuries/surgery*
;
Male
;
Extremities/injuries*
;
Adult
;
Amputation, Surgical
;
Middle Aged
;
Female
6.Genetic and clinical characteristics of children with RAS-mutated juvenile myelomonocytic leukemia.
Yun-Long CHEN ; Xing-Chen WANG ; Chen-Meng LIU ; Tian-Yuan HU ; Jing-Liao ZHANG ; Fang LIU ; Li ZHANG ; Xiao-Juan CHEN ; Ye GUO ; Yao ZOU ; Yu-Mei CHEN ; Ying-Chi ZHANG ; Xiao-Fan ZHU ; Wen-Yu YANG
Chinese Journal of Contemporary Pediatrics 2025;27(5):548-554
OBJECTIVES:
To investigate the genomic characteristics and prognostic factors of juvenile myelomonocytic leukemia (JMML) with RAS mutations.
METHODS:
A retrospective analysis was conducted on the clinical data of JMML children with RAS mutations treated at the Hematology Hospital of Chinese Academy of Medical Sciences, from January 2008 to November 2022.
RESULTS:
A total of 34 children were included, with 17 cases (50%) having isolated NRAS mutations, 9 cases (27%) having isolated KRAS mutations, and 8 cases (24%) having compound mutations. Compared to children with isolated NRAS mutations, those with NRAS compound mutations showed statistically significant differences in age at onset, platelet count, and fetal hemoglobin proportion (P<0.05). Cox proportional hazards regression model analysis revealed that hematopoietic stem cell transplantation (HSCT) and hepatomegaly (≥2 cm below the costal margin) were factors affecting the survival rate of JMML children with RAS mutations (P<0.05); hepatomegaly was a factor affecting survival in the non-HSCT group (P<0.05).
CONCLUSIONS
Children with NRAS compound mutations have a later onset age compared to those with isolated NRAS mutations. At initial diagnosis, children with NRAS compound mutations have poorer peripheral platelet and fetal hemoglobin levels than those with isolated NRAS mutations. Liver size at initial diagnosis is related to the prognosis of JMML children with RAS mutations. HSCT can improve the prognosis of JMML children with RAS mutations.
Humans
;
Leukemia, Myelomonocytic, Juvenile/therapy*
;
Mutation
;
Male
;
Female
;
Child, Preschool
;
Retrospective Studies
;
Child
;
Infant
;
GTP Phosphohydrolases/genetics*
;
Membrane Proteins/genetics*
;
Adolescent
;
Hematopoietic Stem Cell Transplantation
;
Proportional Hazards Models
;
Proto-Oncogene Proteins p21(ras)/genetics*
;
Prognosis
7.Study on the Influencing Factors of Donation Related Vasovagal Reaction Based on Association Rule Analysis.
Li-Ning MENG ; Qi YANG ; Long TIAN
Journal of Experimental Hematology 2025;33(1):230-235
OBJECTIVE:
To evaluate the clinical value of association rule analysis for influencing factors of donation related vasovagal reaction (DRVR), using Logistic regression analysis as the reference.
METHODS:
A retrospective study was conducted on 10 000 unpaid blood donors from Zhangjiakou Central Blood Station from June 2019 to June 2021. Their baseline data was collected. Blood donors were divided into the test group with DRVR (n=386) and the control group without DRVR (n=9614). Logistic regression analysis was performed on all blood donors. The independent risk factor prediction was established for DRVR. Association rule analysis was performed on the test group. The effective strong association rules including DRVR were calculated. Taking Logistic regression analysis prediction as the reference, the results of association rule analysis were evaluated.
RESULTS:
The logistic regression analysis prediction showed that "age (20-29 years old)", "gender (female)", "BMI (≤18 kg/m2)", "blood pressure (low)", and "hemoglobin level (low)" were the independent risk factors for DRVR (all P < 0.05). There were 8 effective strong association rules including DRVR in total: The two-item rules were "age (20-29 years old), DRVR", "gender (female), DRVR", "BMI (≤18 kg/m2), DRVR", "blood pressure (low), DRVR", "hemoglobin level (low), DRVR". The three-item rules were "age (20-29 years old), gender (female), DRVR", "BMI (≤18 kg/m2), blood pressure (low), DRVR", "BMI (≤18 kg/m2), blood donation volume (400 mL), and DRVR". The results of the two rules in association rule analysis included all independent risk factors leading to DRVR and similar incidence rate change of DRVR. The results of the three rules had determined the range of high-risk groups for DRVR.
CONCLUSION
Compared to the Logistic regressive analysis, the results of association rule analysis have more clinical value, which provide a method reference for further improving the accuracy of DRVR prediction.
Humans
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Blood Donors
;
Retrospective Studies
;
Syncope, Vasovagal/etiology*
;
Adult
;
Female
;
Male
;
Risk Factors
;
Logistic Models
;
Young Adult
;
Blood Pressure
8.Change of plasma level of valine and its relationship with developmental quotient in children with autism.
Xinjie XU ; Xiaoe CAI ; Fanchao MENG ; Bo LONG ; Xin YOU ; Rong ZHANG
Journal of Peking University(Health Sciences) 2025;57(2):277-283
OBJECTIVE:
To compare the differences of plasma valine level between autistic and healthy children, and to explore the relationship between plasma valine level and developmental quotient in children with autism.
METHODS:
In this study, a total of 29 autistic children and 30 typically developing children of the same age range were recruited as the autistic group and the control group. The childhood autism rating scale (CARS) was used to assess autistic core symptoms and severity in the autistic children. Children's developmental quotient was evaluated by Gesell developmental schedules (GDS), and plasma valine level was measured by high performance liquid chromatography-tandem mass spectrometry. The correlation between plasma valine level and developmental quotient scores in the autistic group was analyzed.
RESULTS:
The plasma level of valine in the autism group was significantly lower than in the control group (P < 0.05). Children in the autism group got significantly lower scores in the adaption, gross motor, fine motor, language function and personal/social function subscales in GDS than in the control group (P < 0.000 1). Plasma valine level in the autism group showed significant positive correlations with scores of the fine motor (r=0.441, P < 0.05) and personal/social function (r=0.437, P < 0.05) subscales in GDS, but showed no significant correlations with scores of the adaption, gross motor and language function subscales in GDS (P>0.05). According to the criteria of CARS, children in the autism group were subdivided into the mild to moderate subgroup and the severe subgroup based on the severity of the autistic symptoms. Compared with children in the mild to moderate subgroup, children in the severe subgroup got significantly lower scores in the adaption, fine motor, language function and personal/social function subscales in GDS (P < 0.05), while there was no significant difference between the two subgroups in gross motor scores and plasma valine level (P>0.05).
CONCLUSION
The level of valine in plasma of autistic children is relatively lower, and there is a certain relationship between plasma valine level and the fine movement and personal/social function among children with autism.
Humans
;
Autistic Disorder/physiopathology*
;
Child
;
Male
;
Female
;
Valine/blood*
;
Child Development
;
Child, Preschool
;
Case-Control Studies
9.Microneedle-facilitated Portulaca oleracea L.-derived nanovesicles ameliorate atopic dermatitis by modulating macrophage M1/M2 polarization and inhibiting NF-κB and STING signaling pathways.
Meng LONG ; Jiaqi LI ; Yuecheng ZHU ; Hang RUAN ; Jing LI ; Fanjun XU ; Ruipeng LIU ; Tao YANG ; Yanqin SHI ; Nianping FENG ; Yongtai ZHANG
Acta Pharmaceutica Sinica B 2025;15(11):5966-5987
Clinical management of atopic dermatitis (AD) is challenged by its susceptibility to recurrence, side effects, and high costs. We found that Portulaca oleracea L.-derived nanovesicles (PDNV) exert anti-inflammatory effects by modulating macrophage M1/M2 polarization. These effects were achieved through pathways including inhibition of nuclear factor-κB (NF-κB) and stimulator of interferon genes (STING) protein expression in diseased tissues, demonstrating their potential to ameliorate AD symptoms. To increase the transdermal permeation of PDNV, dissolvable microneedles composed primarily of hyaluronic acid (HA) were developed as an adjunctive means of delivery. Meanwhile, polysaccharides of Portulaca oleracea L., which were synergistic with PDNV, were used as microneedle constituent materials to enhance the mechanical properties and physical stability of HA. This new means of delivery significantly improves the treatment of AD and also provides new options for the efficient utilization of plant extracellular vesicles and the treatment of AD. In addition, transcriptomic analysis of PDNV showed that the mRNAs of Portulaca oleracea L. are closest to those of ferns, which may shed light on related evolutionary and plant species identification studies.
10.Huachansu injection enhances anti-colorectal cancer efficacy of irinotecan and alleviates its induced intestinal toxicity through upregulating UGT1A1-OATP1B3 expression in vitro and in vivo.
Bo JIANG ; Zhao-Yang MENG ; Yu-Jie HU ; Jun-Jun CHEN ; Ling ZONG ; Ling-Yan XU ; Xiang-Qi ZHANG ; Jing-Xian ZHANG ; Yong-Long HAN
Journal of Integrative Medicine 2025;23(5):576-590
OBJECTIVE:
Huachansu injection (HCSI), a promising anti-cancer Chinese medicine injection, has been reported to have the potential for reducing the toxicity of chemotherapy and improving the quality of life for colorectal cancer (CRC) patients. The objective of this study is to explore the synergistic and detoxifying effects of HCSI when used in combination with irinotecan (CPT-11).
METHODS:
To investigate the effect of HCSI on anti-CRC efficacy and intestinal toxicity of CPT-11, we measured changes in the biological behavior of LoVo cells in vitro, and anti-tumor effects in LoVo cell xenograft nude mice models in vivo. Meanwhile, the effect of HCSI on intestinal toxicity and the uridine diphosphate-glucuronosyltransferase 1A1 (UGT1A1) expression was investigated in the CPT-11-induced colitis mouse model. Subsequently, we measured the effect of HCSI and its 13 constituent bufadienolides on the expression of UGT1A1 and organic anion transporting polypeptides 1B3 (OATP1B3) in HepG2 cells.
RESULTS:
The combination index (CI) results showed that the combination of HCSI and CPT-11 exhibited a synergistic effect (CI < 1), which significantly suppressing the LoVo cell migration, enhancing G2/M and S phase arrest, and inhibiting tumor growth in vivo. Additionally, the damage to intestinal tissues was attenuated by HCSI in CPT-11-induced colitis model, while the increased expression of UGT1A1 in HepG2 cells and in mouse was observed.
CONCLUSION
The co-therapy with HCSI alleviated the intestinal toxicity induced by CPT-11 and exerted an enhanced anti-CRC effect. The detoxifying mechanism may be related to the increased expression of UGT1A1 and OATP1B3 by HCSI and its bufadienolides components. The findings of this study may serve as a theoretical insights and strategies to improve CRC patient outcomes. Please cite this article as: Jiang B, Meng ZY, Hu YJ, Chen JJ, Zong L, Xu LY, Zhang XQ, Zhang JX, Han YL. Huachansu injection enhances anti-colorectal cancer efficacy of irinotecan and alleviates its induced intestinal toxicity through upregulating UGT1A1-OATP1B3 expression in vitro and in vivo. J Integr Med. 2025; 23(5):576-590.
Irinotecan/therapeutic use*
;
Animals
;
Glucuronosyltransferase/genetics*
;
Humans
;
Colorectal Neoplasms/metabolism*
;
Drugs, Chinese Herbal/therapeutic use*
;
Mice, Nude
;
Mice
;
Up-Regulation/drug effects*
;
Male
;
Xenograft Model Antitumor Assays
;
Mice, Inbred BALB C
;
Hep G2 Cells
;
Cell Line, Tumor
;
Intestines/drug effects*
;
Amphibian Venoms

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