1.Bioactive metallic nanoparticles for synergistic cancer immunotherapy.
Lulu WANG ; Demin LIN ; Muqing LI ; Yu JIANG ; Yanfang YANG ; Hongliang WANG ; Hongqian CHU ; Jun YE ; Yuling LIU
Acta Pharmaceutica Sinica B 2025;15(4):1869-1911
Cancer immunotherapy has emerged as a promising strategy. However, low response rates and immune-related side effects have plagued immunotherapy. Metallic nanoparticles, utilizing metals as their framework, are gaining prominence in cancer immunotherapy. Metal ions have shown the ability to modulate immune status by activating the cGAS-STING pathway and inducing immunogenic cell death (ICD), thereby enabling multidimensional activation of immunotherapy. Metallic nanoparticles offer significant advantages in cancer immunotherapy, leading to their increasing use in enhancing therapeutic outcomes. In view of the ever-increasing research on metallic nanoparticles, this review presents the construction, characterization, and enhanced cancer immunotherapeutic effects of different types of metal nanosystems from the perspective of the immunoregulatory mechanisms of metal ions. We delve into the current limitations and future directions of metallic nanoparticles in this rapidly evolving field. To the best of our knowledge, this review offers the most up-to-date and systematic analysis of metallic nanoparticles in immunotherapeutic applications. It is anticipated that this review of metallic nanoparticles will inspire a more refined and intelligent design of metallic nanoparticles for future research, paving the way for advancing their clinical applications.
2.A high clinically translatable strategy to anti-aging using hyaluronic acid and silk fibroin co-crosslinked hydrogels as dermal regenerative fillers.
Jialing CHENG ; Zhiyang CHEN ; Demin LIN ; Yanfang YANG ; Yanjing BAI ; Lingshuang WANG ; Jie LI ; Yuchen WANG ; Hongliang WANG ; Youbai CHEN ; Jun YE ; Yuling LIU
Acta Pharmaceutica Sinica B 2025;15(7):3767-3787
An ideal dermal filler should integrate filling, repair, and anti-aging effects, with immediate tissue augmentation, slow degradation, and progressive stimulation of collagen regeneration. However, commonly used hyaluronic acid (HA) hydrogels, while effective for rapid filling, suffer from limited duration of support, weak cell adhesion, and an inability to promote collagen regeneration. Silk fibroin (SF), a natural protein from silkworm cocoons, is known for its excellent cell adhesion and collagen-stimulating abilities. However, its limited gelation capability restricts its potential application as a standalone injectable hydrogel. Based on a complementary strategy, this study combines the rapid gelling properties of HA with the collagen regenerative properties of SF to create a co-crosslinked HA-SF hydrogel. The composite hydrogel merges HA's rapid filling effect with SF's strong tissue adhesion and collagen-stimulating abilities. The formulation, physicochemical properties, degradation, biocompatibility, and filling effects of the HA-SF hydrogel were systematically investigated. HA-SF hydrogel exhibits excellent mechanical properties and ensures long-term support while maintaining injectability. Interestingly, after intradermal injection in the UVB-induced photoaging model, HA-SF hydrogel not only enhances hydrogel-cell interaction but also continues to stimulate collagen regeneration, especially type III collagen. This dual action achieves the biological effects of repair and anti-aging while maintaining the filling effect. Proteomic analysis confirms that repair and anti-aging effects are enhanced by the regulation of skin fibroblasts and modulation of amino acid and lipid metabolism. This composite hydrogel holds strong promise for clinical applications, offering a safer, long-lasting, and more natural injectable filler that combines filling, repair, and anti-aging into one system.
3.(±)-Talapyrones A-F: six pairs of dimeric polyketide enantiomers with unusual 6/6/6 and 6/6/6/5 ring systems from Talaromycesadpressus.
Meijia ZHENG ; Xinyi ZHAO ; Chenxi ZHOU ; Hong LIAO ; Qin LI ; Yuling LU ; Bingbing DAI ; Weiguang SUN ; Ying YE ; Chunmei CHEN ; Yonghui ZHANG ; Hucheng ZHU
Chinese Journal of Natural Medicines (English Ed.) 2025;23(8):932-937
(±)-Talapyrones A-F (1-6), six pairs of dimeric polyketide enantiomers featuring unusual 6/6/6 and 6/6/6/5 ring systems, were isolated from the fungus Talaromyces adpressus. Their structures were determined by spectroscopic analysis and HR-ESI-MS data, and their absolute configurations were elucidated using a modified Mosher's method and electronic circular dichroism (ECD) calculations. (±)-Talapyrones A-F (1-6) possess a 6/6/6 tricyclic skeleton, presumably formed through a Michael addition reaction between one molecule of α-pyrone derivative and one molecule of C8 poly-β-keto chain. In addition, compounds 2/3 and 4/5 are two pairs of C-18 epimers, respectively. Putative biosynthetic pathways of 1-6 were discussed.
Polyketides/isolation & purification*
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Talaromyces/chemistry*
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Stereoisomerism
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Molecular Structure
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Circular Dichroism
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Pyrones/chemistry*
4.Clinical analysis of 54 cases of lung cancer treated by domestic carbon ion system
Xin PAN ; Yihe ZHANG ; Tong MA ; Xin WANG ; Yuling YANG ; Tianyan QIN ; Caixia LYU ; Pengqing LI ; Yancheng YE ; Yanshan ZHANG
Chinese Journal of Radiation Oncology 2024;33(4):319-325
Objective:To evaluate clinical prognosis and prognostic factors of patients with early stage (Ⅰ stage) and locally advanced (Ⅱ/Ⅲ stage) lung cancer treated with carbon ion radiotherapy (CIRT).Methods:Clinical data, treatment, adverse reactions, survival and so on of 54 lung cancer patients who received CIRT and follow-up in the Heavy Ion Center of Wuwei Cancer Hospital of Gansu Province from March 2020 to September 2022 were retrospectively analyzed. The survival curve was plotted using Kaplan-Meier method. Difference tests were performed using log-rank test. Logistic regression analysis was used to identify prognostic factors.Results:According to inclusion and exclusion criteria, 54 patients were enrolled in the study, including 10 patients with early stage lung cancer and 44 patients with locally advanced lung cancer. The median follow-up time for 10 patients with early stage lung cancer was 11.0 (6.75, 17.25) months, and the median dose of irradiation was 60 Gy [relative biological effect (RBE)]. Upon the last follow-up, 3 patients had complete response (CR) and 3 patients had partial response (PR). Four patients had stable disease (SD) and no progressive disease (PD). The 1-year and 2-year local control rates (LCR), progression-free survival (PFS) rates and overall survival (OS) rates were 100%. During treatment and follow-up, 2 patients developed grade 1 radiation pneumonia, 1 case of grade 2 radiation pneumonia, 1 case of chest wall injury (chest wall pain), and there were no adverse reactions greater than grade 2. The median follow-up time of 44 patients with locally advanced stage was 12.5 (4.25, 21.75) months, and the median irradiation dose was 72 Gy (RBE). Thirty-two (73%) patients received concurrent chemotherapy during treatment, 20 (45%) patients received sequential chemotherapy after treatment, 14 (32%) patients received immune maintenance therapy and 3 (7%) patients obtained PD and received targeted drugs. Upon the last follow-up, 3 (7%) patients had CR, 17 (39%) patients had PR, 19 (43%) patients obtained SD, and 5 (11%) patients had PD. The 1-year and 2-year LCR were 96.0% and 87.3%, 90.9% and 84.1% for the 1-year and 2-year PFS rates, and 93.2% and 86.4% for the 1-year and 2-year OS rates, respectively. The median OS and PFS of patients were not reached. Multivariate logistic regression analysis showed that maintenance therapy after radiotherapy ( P=0.027) and clinical target volume (CTV) irradiation volume ( P=0.028) were the factors affecting PFS. Simultaneous chemoradiotherapy ( P=0.042) and maintenance therapy after radiotherapy ( P=0.020) were the factors affecting OS. And gross tumor volume (GTV) ≥215 ml ( P=0.068) might be an independent risk factor for grade 2 and above radiation pneumonia. Conclusions:The domestic carbon ion system has definite clinical effect and controllable toxic and side effects in the treatment of early stage and locally advanced lung cancer. The combination of synchronous chemotherapy and further maintenance treatment can significantly improve clinical prognosis of patients without significantly increasing the risk of toxic and side effects.
5.Unlocking the potential of amorphous calcium carbonate: A star ascending in the realm of biomedical application.
Han LIU ; Zhiyang WEN ; Zihan LIU ; Yanfang YANG ; Hongliang WANG ; Xuejun XIA ; Jun YE ; Yuling LIU
Acta Pharmaceutica Sinica B 2024;14(2):602-622
Calcium-based biomaterials have been intensively studied in the field of drug delivery owing to their excellent biocompatibility and biodegradability. Calcium-based materials can also deliver contrast agents, which can enhance real-time imaging and exert a Ca2+-interfering therapeutic effect. Based on these characteristics, amorphous calcium carbonate (ACC), as a brunch of calcium-based biomaterials, has the potential to become a widely used biomaterial. Highly functional ACC can be either discovered in natural organisms or obtained by chemical synthesis However, the standalone presence of ACC is unstable in vivo. Additives are required to be used as stabilizers or core-shell structures formed by permeable layers or lipids with modified molecules constructed to maintain the stability of ACC until the ACC carrier reaches its destination. ACC has high chemical instability and can produce biocompatible products when exposed to an acidic condition in vivo, such as Ca2+ with an immune-regulating ability and CO2 with an imaging-enhancing ability. Owing to these characteristics, ACC has been studied for self-sacrificing templates of carrier construction, targeted delivery of oncology drugs, immunomodulation, tumor imaging, tissue engineering, and calcium supplementation. Emphasis in this paper has been placed on the origin, structural features, and multiple applications of ACC. Meanwhile, ACC faces many challenges in clinical translation, and long-term basic research is required to overcome these challenges. We hope that this study will contribute to future innovative research on ACC.
6.New advances of adiponectin in regulating obesity and related metabolic syndromes
Han YANQI ; Sun QIANWEN ; Chen WEI ; Gao YUE ; Ye JUN ; Chen YANMIN ; Wang TINGTING ; Gao LILI ; Liu YULING ; Yang YANFANG
Journal of Pharmaceutical Analysis 2024;14(5):623-638
Obesity and related metabolic syndromes have been recognized as important disease risks,in which the role of adipokines cannot be ignored.Adiponectin(ADP)is one of the key adipokines with various beneficial effects,including improving glucose and lipid metabolism,enhancing insulin sensitivity,reducing oxidative stress and inflammation,promoting ceramides degradation,and stimulating adipose tissue vascularity.Based on those,it can serve as a positive regulator in many metabolic syndromes,such as type 2 diabetes(T2D),cardiovascular diseases,non-alcoholic fatty liver disease(NAFLD),sarcopenia,neurodegenerative diseases,and certain cancers.Therefore,a promising therapeutic approach for treating various metabolic diseases may involve elevating ADP levels or activating ADP receptors.The modulation of ADP genes,multimerization,and secretion covers the main processes of ADP generation,providing a comprehensive orientation for the development of more appropriate therapeutic strategies.In order to have a deeper understanding of ADP,this paper will provide an all-encompassing review of ADP.
7.Comparison of two luminescence detection methods for staphylococcal enterotoxin C content in simulated milk samples.
Yuling ZHENG ; Ye WANG ; Qingyu LYU
Chinese Journal of Cellular and Molecular Immunology 2023;39(12):1089-1093
Objective To compare the sensitivity and accuracy of amplified luminescent proximity homogeneous assay linked immunosorbent assay (AlphaLISA) and magnetic particles-based chemiluminescence immunoassay (MP-CLIA) for detection of staphylococcal enterotoxin C (SEC) in the simulated milk samples. Methods The AlphaLISA was constructed using goat anti-SEC polyclonal antibody-coupled receptor microspheres, biotin-labeled SEC monoclonal antibody and streptavidin-coupled donor microspheres. The MP-CLIA was constructed using goat anti-SEC polyclonal antibody conjugated alkaline phosphatase, biotin-labeled anti-SEC monoclonal antibody and streptavidin conjugated magnetic beads. Results The sensitivity of AlphaLISA to detect SEC content in simulated milk samples was 4.04 ng/L, and the coefficient of variation (CV) was 1.98%~9.82%. The sensitivity of MP-CLIA was 108.19 ng/L and CV was 4.63%~20.40%. Conclusion Compared with MP-CLIA, AlphaLISA is more sensitive and accurate to detecting SEC.
Animals
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Streptavidin
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Biotin
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Luminescence
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Milk
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Antibodies, Monoclonal
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Goats
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Immunoassay/methods*
8.Clinical report of two dose fractionation modes using carbon ion beam therapy in the lymph node drainage area for lung cancer
Xin PAN ; Yihe ZHANG ; Xiaojun LI ; Tong MA ; Xin WANG ; Yuling YANG ; Hongyu CHAI ; Tianyan QIN ; Caixia LYU ; Pengqing LI ; Yancheng YE ; Yanshan ZHANG
Chinese Journal of Radiation Oncology 2023;32(3):215-221
Objective:To compare the adverse reactions, efficacy and survival rate of carbon ion beam irradiation in the elective lymph node (ENI) drainage area of locally advanced non-small cell lung cancer (LA-NSCLC) with relative biological effect (RBE) dose of 48 Gy using 16 and 12 fractions.Methods:A total of 72 patients with pathologically confirmed LA-NSCLC admitted to Wuwei Heavy Ion Center of Gansu Wuwei Tumor Hospital from June 2020 to December 2021 were enrolled and simple randomly divided into groups A and B, with 36 patients in each group. Patients in groups A and B were treated with carbon ion beam irradiation to the lymph node drainage area with 48 Gy (RBE) using 16 and 12 fractions. The acute and chronic adverse reactions, efficacy and survival rate were observed. The survival curve was drawn by Kaplan-Meier method. Difference test was conducted by log-rank test.Results:The median follow-up time was 13.9 (8.8-15.7) months in group A and 14.6 (6.3-15.9) months in group B. Sixteen (44.4%) patients were effectively treated in group A and 9 (25%) patients in group B. Thirty-four (94.4%) cases achieved disease control in group A and 30 (83.3%) cases in group B. Statistical analysis showed that the overall survival rate in group B was similar to that in group A ( χ2=1.192, P=0.275). Comparison of planning parameters between two groups showed CTV volume, D mean, V 5 Gy(RBE), V 20 Gy(RBE) and V 30 Gy(RBE) of the affected lung, cardiac V 20 Gy(RBE), V 30 Gy(RBE) and D mean, esophageal V 30 Gy(RBE), V 50 Gy(RBE), D max and D mean, D max of the trachea and spinal cord had no significant difference (all P>0.05). No grade 3 or 4 adverse reactions occurred in the enrolled patients during treatment and follow-up. No statistical differences were observed in the acute radiation skin reaction ( χ2=5.134, P=0.077), radiation esophagitis ( χ2=1.984, P=0.371), and advanced radiation pneumonia ( χ2=6.185, P=0.103) between two groups. Conclusions:The two dose fractionation modes of carbon ion therapy system are equally safe in the mediastinal lymphatic drainage area of LA-NSCLC, and the adverse reactions are controllable. The long-term efficacy still needs further observation.
9.The Predictive Value of Magnetic Resonance Imaging-based Texture Analysis in Evaluating Histopathological Grades of Breast Phyllodes Tumor
Yifei MAO ; Zhongtang XIONG ; Songxin WU ; Zhiqing HUANG ; Ruoxian ZHANG ; Yuqin HE ; Yuling PENG ; Yang YE ; Tianfa DONG ; Hui MAI
Journal of Breast Cancer 2022;25(2):117-130
Purpose:
Knowing the distinction between benign and borderline/malignant phyllodes tumors (PTs) can help in the surgical treatment course. Herein, we investigated the value of magnetic resonance imaging-based texture analysis (MRI-TA) in differentiating between benign and borderline/malignant PTs.
Methods:
Forty-three women with 44 histologically proven PTs underwent breast MRI before surgery and were classified into benign (n = 26) and borderline/malignant groups (n = 18 [15 borderline, 3 malignant]). Clinical and routine MRI parameters (CRMP) and MRI-TA were used to distinguish benign from borderline/malignant PT. In total, 298 texture parameters were extracted from fat-suppression (FS) T2-weighted, FS unenhanced T1-weighted, and FS first-enhanced T1-weighted sequences. To evaluate the diagnostic performance, receiver operating characteristic curve analysis was performed for the K-nearest neighbor classifier trained with significantly different parameters of CRMP, MRI sequence-based TA, and the combination strategy.
Results:
Compared with benign PTs, borderline/malignant ones presented a higher local recurrence (p = 0.045); larger size (p < 0.001); different time-intensity curve pattern (p = 0.010); and higher frequency of strong lobulation (p = 0.024), septation enhancement (p = 0.048), cystic component (p = 0.023), and irregular cystic wall (p = 0.045). TA of FS T2-weighted images (0.86) showed a significantly higher area under the curve (AUC) than that of FS unenhanced T1-weighted (0.65, p = 0.010) or first-enhanced phase (0.72, p = 0.049) images. The texture parameters of FS T2-weighted sequences tended to have a higher AUC than CRMP (0.79, p = 0.404). Additionally, the combination strategy exhibited a similar AUC (0.89, p = 0.622) in comparison with the texture parameters of FS T2-weighted sequences.
Conclusion
MRI-TA demonstrated good predictive performance for breast PT pathological grading and could provide surgical planning guidance. Clinical data and routine MRI features were also valuable for grading PTs.
10.The measurements of the similarity of dynamic brain functional network.
Yongquan HE ; Li ZHANG ; Shan FANG ; Yaqin ZENG ; Wei YANG ; Weidong CHEN ; Yuling SHAO ; Ruidong CHENG ; Xiangming YE ; Dongrong XU
Journal of Biomedical Engineering 2022;39(2):237-247
Brain functional network changes over time along with the process of brain development, disease, and aging. However, most of the available measurements for evaluation of the difference (or similarity) between the individual brain functional networks are for charactering static networks, which do not work with the dynamic characteristics of the brain networks that typically involve a long-span and large-scale evolution over the time. The current study proposes an index for measuring the similarity of dynamic brain networks, named as dynamic network similarity (DNS). It measures the similarity by combining the "evolutional" and "structural" properties of the dynamic network. Four sets of simulated dynamic networks with different evolutional and structural properties (varying amplitude of changes, trend of changes, distribution of connectivity strength, range of connectivity strength) were generated to validate the performance of DNS. In addition, real world imaging datasets, acquired from 13 stroke patients who were treated by transcranial direct current stimulation (tDCS), were used to further validate the proposed method and compared with the traditional similarity measurements that were developed for static network similarity. The results showed that DNS was significantly correlated with the varying amplitude of changes, trend of changes, distribution of connectivity strength and range of connectivity strength of the dynamic networks. DNS was able to appropriately measure the significant similarity of the dynamics of network changes over the time for the patients before and after the tDCS treatments. However, the traditional methods failed, which showed significantly differences between the data before and after the tDCS treatments. The experiment results demonstrate that DNS may robustly measure the similarity of evolutional and structural properties of dynamic networks. The new method appears to be superior to the traditional methods in that the new one is capable of assessing the temporal similarity of dynamic functional imaging data.
Aging/physiology*
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Brain/physiology*
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Brain Mapping
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Humans
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Magnetic Resonance Imaging/methods*
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Nerve Net/physiology*
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Transcranial Direct Current Stimulation/methods*

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