1.Mechanism of Huazhuo Sanjie Chubi Presciption in Regulating Macrophage Polarization and Improving Low-grade Inflammation in Rats with Chronic Gouty Arthritis
Yuwan LI ; Yingjie ZHANG ; Siyuan LIN ; Xiaohua CHEN ; Qianglong CHEN ; Fan YANG ; Jun LIU ; Bingyan CHEN ; Peng CHEN ; Jiemei GUO ; Youxin SU ; Yan XIAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(7):93-104
ObjectiveTo evaluate the therapeutic effect of Huazhuo SanJie Chubi presciption (HSCD) on chronic gouty arthritis (CGA) rats with low-grade inflammation and to explore the underlying mechanism with a focus on macrophage polarization. MethodsThe 41 male 6-week-old SD rats were randomly allocated, using the random number table, to a normal group (n=8) and a model group (n =33). CGA with low-grade inflammation was induced in the model group by daily gavage of potassium oxonate (250 mg·kg-1·d-1) and hypoxanthine (300 mg·kg-1·d-1), combined with intra-articular injection of a monosodium urate (MSU) crystal suspension (50 μL, 25 g·L-¹) into the left ankle twice weekly. After 4 weeks of modeling, 3 rats were randomly selected from each group for model validation. The remaining successfully modeled rats were randomly divided into a model group, an HSCD group (10.35 g·kg-1·d-1, gavage once daily), an M1 polarization agonist group (L-methionine sulfoximine, 300 mg·kg-1, subcutaneous injection every other day), an M1 polarization agonist + HSCD group, an M2 polarization inhibitor group (PD0325901, 10 mg·kg-1·d-1, gavage once daily), and M2 polarization inhibitor + HSCD group. The corresponding drug or drug combination was administered according to group assignment, whereas rats in the normal and model groups received 0.5% carboxymethyl cellulose sodium (CMC-Na) vehicle (10.35 g·kg-1·d-1, gavage once daily). All interventions were continued for four weeks. During the intervention period, except for the normal group, potassium oxonate (250 mg·kg⁻¹) and hypoxanthine (300 mg·kg-1) were co-administered by gavage every other day to maintain the model. At the end of treatment, serum uric acid (SUA), ankle joint diameter and joint swelling index were measured. The levels of high-sensitivity C-reactive protein (hs-CRP), interleukin-1β (IL-1β), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), chemokine C-C motif ligand 2 (CCL2), S100 calcium-binding protein A8/A9 (S100A8/A9), interleukin-10 (IL-10) and arginase-1 (Arg-1) in serum and joint fluid were determined by enzyme-linked immunosorbent assay (ELISA). High-frequency ultrasound was used to assess MSU deposition in the ankle joint. Hematoxylin-eosin (HE) staining was performed to evaluate synovial histopathological changes. Quantitative Real-time PCR and immunofluorescence were used to detect the mRNA and protein expression of the M1 macrophage polarization markers inducible nitric oxide synthase (iNOS) and the M2 macrophage polarization marker scavenger receptor cysteine-rich type 1 protein M130 (CD163) in synovial tissue. ResultsCompared with the normal group, the model group showed significantly elevated SUA level and joint swelling index, and increased levels of pro-inflammatory cytokines, CCL2, and S100A8/A9 in both serum and joint fluid (P<0.05), accompanied by MSU deposition and synovial inflammation in the ankle joint. The mRNA and protein expression levels of macrophage polarization M1/M2 markers iNOS and CD163 in synovial tissues were also significantly up-regulated (P<0.05). Compared with model group, rats in HSCD group had significantly lower SUA levels, attenuated joint swelling, reduced serum levels of pro-inflammatory cytokines, and decreased levels of CCL2 and S100A8/A9 in both serum and joint fluid, accompanied with alleviated MSU deposition and synovial inflammation (P<0.05). HSCD markedly downregulated the mRNA and protein expression of M1 marker iNOS (P<0.05), whereas it had no significant effect on the expression of M2 marker CD163. Compared with the M1 polarization agonist group, the M1 polarization agonist + HSCD group showed significantly reduced joint swelling, lower serum levels of pro-inflammatory cytokines, and decreased levels of CCL2 and S100A8/A9 in joint fluid (P<0.05). In addition, synovial inflammatory cell infiltration and angiogenesis were attenuated, and iNOS mRNA and protein expression levels were significantly reduced (P<0.05). Compared with the M2 polarization inhibitor group, the M2 polarization inhibitor + HSCD group exhibited reduced joint swelling, decreased levels of CCL2 and S100A8/A9 in joint fluid and ameliorated synovial inflammation (P<0.05), whereas the levels of anti-inflammatory mediators (IL-10, Arg-1) and CD163 mRNA and protein expression were not significantly increased. ConclusionHSCD alleviates low-grade inflammation in CGA rats, at least in part, by inhibiting macrophage polarization toward the M1 phenotype.
2.Effect and Action Mechanism of Huazhuo Sanjie Chubi Prescription on Gouty Bone Erosion Model Rats Based on PI3K/Akt Signaling Pathway
Zhuoming ZHENG ; Jun LIU ; Meiling WANG ; Xiaohua CHEN ; Yuwan LI ; Siwei PENG ; Yingjie ZHANG ; Ruifang YANG ; Youxin SU ; Yan XIAO ; Jiemei GUO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(7):105-117
ObjectiveThis paper aims to observe the effect of Huazhuo Sanjie Chubi prescription (HSCD) on the gouty bone erosion model rats and investigate its action mechanism. MethodsThirty-six two-month-old male SD rats were randomly divided into the blank group with nine rats and the modeling group with 27 rats. The rats in the modeling group were administered hypoxanthine solution at 300 mg·kg-1·d-1 and potassium oxonate solution at 250 mg·kg-1·d-1, combined with intra-articular injection of 200 μL monosodium urate (MSU) crystal suspension at 25 g·L-1 into the right ankle joint (joint injection once every three days), so as to induce the gouty bone erosion model. After four weeks of modeling, three rats were selected from these two groups to validate the model. The modeled 24 rats were randomly divided into the model group, HSCD group (10.35 g·kg-1·d-1), allopurinol group (20 mg·kg-1·d-1), and inhibitor group (LY294002, 10 mg·kg-1·d-1), with six rats per group. Except for the blank group, rats in all other groups continued to receive hypoxanthine solution at 300 mg·kg-1 and potassium oxonate solution at 250 mg·kg-1 via gavage concurrently with administration to maintain modeling intervention. The rats in the HSCD group and allopurinol group received administration by gavage at the above doses. The rats in the inhibitor group received an intraperitoneal injection at the above dose. The rats in the blank group and model group received saline (10.35 g·kg-1·d-1) by gavage for four consecutive weeks. After administration, ankle joint swelling of the rats in all groups was observed, and the diameters were measured. Bone volume fraction (BV/TV) and bone surface area to bone volume (BS/BV) were observed and quantitatively analyzed by Micro-CT. Histopathological changes in the ankle joint were observed by hematoxylin-eosin (HE) staining and safranin O-fast green staining. The uric acid in the rats' serum was determined by enzyme colorimetry. The levels of inflammatory factors, including tumor necrosis factor-α (TNF-α), interleukin (IL)-1β, and IL-6 were measured by enzyme-linked immunosorbent assay (ELISA). The protein expressions of receptor activator of nuclear factor-κB ligand (RANKL) and phosphorylated (p)-phosphatidylinositol-3-kinase (PI3K) in ankle joint tissues of rats were detected by immunofluorescence staining. The mRNA levels of the proteins related to the bone erosion, including RANKL, tartrate-resistant acid phosphatase
3.Multi-component Quality Consistency Evaluation of Leonuri Herba Granules Based on HPLC-DAD-CAD Multi-detector Technique and Chemometrics
Shuangyan LI ; Jun ZHANG ; Cong GUO ; Siyuan LI ; Jipeng DI ; Jiangmin SU ; An LIU ; Xiaodi KOU ; Yan LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):174-181
ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules, reveal the quality fluctuation patterns of products from the same and different manufacturers, providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector(HPLC-DAD-CAD) was employed to determine the contents of 4 components(syringic acid, leonurine hydrochloride, ferulic acid, and stachydrine hydrochloride) in samples from 19 manufacturers(53 batches, 159 boxes). Additionally, fingerprint profiles were constructed, and the fingerprint dissimilarity(PS) and relative standard deviation(RSD) of different samples from the same manufacturer were calculated. A principal component analysis(PCA) model was established with PS and the RSD values of the 4 components as variables to classify the manufacturers. Finally, samples from 5 manufacturers(M1-M5) covering three consistency groups were selected to calculate three quality consistency parameters, namely intra-batch consistency(PA), inter-batch consistency(PB), and PS. Then, PCA was performed with PA, PB, and PS of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them, the content of stachydrine hydrochloride(a pharmacopoeial quality control component) was 32.46-72.70 mg per bag, all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China, with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows:syringic acid of 1.43-41.92 mg per bag, leonurine hydrochloride of 0.67-11.85 mg per bag, and ferulic acid of 0.11-3.81 mg per bag. Notably, leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer(RSD of 4.8%-59.2%). PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers(M2, M6, M7, M8, M10, M15, M17, M18) demonstrated relatively high consistency, five manufacturers(M3, M9, M12, M13, M14) showed moderate consistency, six manufacturers(M1, M4, M5, M11, M16, M19) exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers, verifying the reliability of the proposed method. Among these, manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories, and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.
4.Treatment of Liver Cancer by Intervening TGF-β Signaling Pathway with Traditional Chinese Medicine: A Review
Hao CHENG ; Haohao GUO ; Jun SUN ; Juan XUE ; Chunyan JI ; Shiyi LI ; Yuxue DING ; Huaqiang YUE
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):318-326
Liver cancer is one of the most common malignant tumors in the digestive system and ranks sixth among newly diagnosed malignant tumors worldwide. Transforming growth factor-β (TGF-β) regulates cell differentiation, proliferation, apoptosis, and other physiological and pathological mechanisms and exerts cancer-suppressive and pro-cancerous dual effects in the process of tumor development. In recent years, with the continuous exploration of the mechanism of liver cancer, it has been found that the conversion of the cancer-suppressive effect into a pro-cancerous effect of this pathway plays a key role in the development of liver cancer. Traditional Chinese medicine (TCM) provides a unique perspective for the classification, diagnosis, and treatment of liver cancer with its comprehensive regulatory effects of multi-components, multi-targets, and multi-pathways. This paper summarized that the cancer-suppressive mechanisms of the TGF-β signaling pathway included promoting cancer cell cycle arrest, apoptosis, autophagy, et al, while the pro-cancerous mechanisms included promoting cancer cell proliferation, invasion and metastasis, immunosuppression, angiogenesis, et al. The TCM compounds intervening this pathway were sorted out, including Jianpi Huayu compound, Fuyang Baoyuan compound, Yipi Yanggan compound, Fuzheng Jiedu compound, compound Astragalus and Salvia, Biejia Jianwan, Dahuang Zhechong pill, and Qingxiang powder. The single TCMs mainly included Schizocapsa plantaginea, Dendrobii Caulis, Gleditsia sinensis, and Dracaena cochinchinensis. The active ingredients of TCM are mainly concentrated on flavonoids, alkaloids, glycosides, phenolics, terpenoids, polysaccharides, and other kinds of compounds. At the same time, it summarized that the liver cancer inhibition mechanism of TCM by regulating this pathway mainly included promoting apoptosis of liver cancer cells, blocking the cell cycle, and inhibiting liver cancer cell proliferation, migration, invasion, angiogenesis, immune escape, etc. The mechanism aims to give full play to the advantages of TCM and precisely regulate the TGF-β signal, thereby exerting positive anti-tumor effects, opening up a new direction for the precise targeted treatment of liver cancer, and providing a scientific basis and a new strategy for the application of TCM in the treatment of liver cancer.
5.Multi-component Quality Consistency Evaluation of Leonuri Herba Granules Based on HPLC-DAD-CAD Multi-detector Technique and Chemometrics
Shuangyan LI ; Jun ZHANG ; Cong GUO ; Siyuan LI ; Jipeng DI ; Jiangmin SU ; An LIU ; Xiaodi KOU ; Yan LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):174-181
ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules, reveal the quality fluctuation patterns of products from the same and different manufacturers, providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector(HPLC-DAD-CAD) was employed to determine the contents of 4 components(syringic acid, leonurine hydrochloride, ferulic acid, and stachydrine hydrochloride) in samples from 19 manufacturers(53 batches, 159 boxes). Additionally, fingerprint profiles were constructed, and the fingerprint dissimilarity(PS) and relative standard deviation(RSD) of different samples from the same manufacturer were calculated. A principal component analysis(PCA) model was established with PS and the RSD values of the 4 components as variables to classify the manufacturers. Finally, samples from 5 manufacturers(M1-M5) covering three consistency groups were selected to calculate three quality consistency parameters, namely intra-batch consistency(PA), inter-batch consistency(PB), and PS. Then, PCA was performed with PA, PB, and PS of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them, the content of stachydrine hydrochloride(a pharmacopoeial quality control component) was 32.46-72.70 mg per bag, all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China, with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows:syringic acid of 1.43-41.92 mg per bag, leonurine hydrochloride of 0.67-11.85 mg per bag, and ferulic acid of 0.11-3.81 mg per bag. Notably, leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer(RSD of 4.8%-59.2%). PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers(M2, M6, M7, M8, M10, M15, M17, M18) demonstrated relatively high consistency, five manufacturers(M3, M9, M12, M13, M14) showed moderate consistency, six manufacturers(M1, M4, M5, M11, M16, M19) exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers, verifying the reliability of the proposed method. Among these, manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories, and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.
6.Treatment of Liver Cancer by Intervening TGF-β Signaling Pathway with Traditional Chinese Medicine: A Review
Hao CHENG ; Haohao GUO ; Jun SUN ; Juan XUE ; Chunyan JI ; Shiyi LI ; Yuxue DING ; Huaqiang YUE
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):318-326
Liver cancer is one of the most common malignant tumors in the digestive system and ranks sixth among newly diagnosed malignant tumors worldwide. Transforming growth factor-β (TGF-β) regulates cell differentiation, proliferation, apoptosis, and other physiological and pathological mechanisms and exerts cancer-suppressive and pro-cancerous dual effects in the process of tumor development. In recent years, with the continuous exploration of the mechanism of liver cancer, it has been found that the conversion of the cancer-suppressive effect into a pro-cancerous effect of this pathway plays a key role in the development of liver cancer. Traditional Chinese medicine (TCM) provides a unique perspective for the classification, diagnosis, and treatment of liver cancer with its comprehensive regulatory effects of multi-components, multi-targets, and multi-pathways. This paper summarized that the cancer-suppressive mechanisms of the TGF-β signaling pathway included promoting cancer cell cycle arrest, apoptosis, autophagy, et al, while the pro-cancerous mechanisms included promoting cancer cell proliferation, invasion and metastasis, immunosuppression, angiogenesis, et al. The TCM compounds intervening this pathway were sorted out, including Jianpi Huayu compound, Fuyang Baoyuan compound, Yipi Yanggan compound, Fuzheng Jiedu compound, compound Astragalus and Salvia, Biejia Jianwan, Dahuang Zhechong pill, and Qingxiang powder. The single TCMs mainly included Schizocapsa plantaginea, Dendrobii Caulis, Gleditsia sinensis, and Dracaena cochinchinensis. The active ingredients of TCM are mainly concentrated on flavonoids, alkaloids, glycosides, phenolics, terpenoids, polysaccharides, and other kinds of compounds. At the same time, it summarized that the liver cancer inhibition mechanism of TCM by regulating this pathway mainly included promoting apoptosis of liver cancer cells, blocking the cell cycle, and inhibiting liver cancer cell proliferation, migration, invasion, angiogenesis, immune escape, etc. The mechanism aims to give full play to the advantages of TCM and precisely regulate the TGF-β signal, thereby exerting positive anti-tumor effects, opening up a new direction for the precise targeted treatment of liver cancer, and providing a scientific basis and a new strategy for the application of TCM in the treatment of liver cancer.
7.miR-27a-3p promotes the proliferation of human hypertrophic scar fibroblasts by regulating mitogen-activated protein kinase signaling pathway
Jun LI ; Jingjing GONG ; Guobin SUN ; Rui GUO ; Yang DING ; Lijuan QIANG ; Xiaoli ZHANG ; Zhanhai FANG
Chinese Journal of Tissue Engineering Research 2025;29(8):1609-1617
BACKGROUND:Multiple studies have confirmed that mitogen-activated protein kinase(MAPK)signaling pathway is involved in cell proliferation,and microRNA(miR)is involved in the occurrence and development of hypertrophic scars.Therefore,the role of miR-27a-3p and MAPK signaling pathways in pathological scar formation has been further explored. OBJECTIVE:To explore the effect of miR-27a-3p on the proliferation of human hypertrophic scar fibroblasts through the MAPK signaling pathway. METHODS:The primary fibroblasts were isolated and collected from the skin samples.The primary fibroblasts were observed by inverted microscope and verified by immunofluorescence.The relative expression level of miR-27a-3p in tissues was detected by qRT-PCR.The target genes of hsa-miR-27a-3p were predicted using the database,and then the predicted target genes were enriched by gene ontology function analysis and biological pathway enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes.There were seven groups:blank control,negative control,miR-27a-3p mimic,miR-27a-3p inhibitor,miR-27a-3p mimic+p38 MAPK inhibitor,miR-27a-3p mimic+extracellular regulated protein kinase inhibitor,miR-27a-3p mimic+c-Jun N-terminal kinase inhibitor.Western blot was used to detect the levels of extracellular regulated protein kinase,c-Jun N-terminal kinase inhibitor.and p38 kinase and their phosphorylation levels.Cell counting kit-8 and EdU were used to detect cell proliferation. RESULTS AND CONCLUSION:Compared with normal skin fibroblasts,hypertrophic scar fibroblasts had stronger proliferative activity(P<0.05)and faster proliferation level(P<0.001).Compared with normal skin,miR-27a-3p was highly expressed in hypertrophic scars(P<0.001).Compared with the negative control group,overexpression of miR-27a-3p could promote cell proliferation activity(P<0.001)and proliferation levels(P<0.001).Compared with the negative control group,knockdown of miR-27a-3p could inhibit the proliferation activity(P<0.05)and proliferation levels(P<0.001).Compared with the negative control group,overexpression of miR-27a-3p promoted the phosphorylated levels of extracellular regulated protein kinase,c-Jun N-terminal kinase,and p38 mitogen-activated protein kinase(P<0.05).Compared with the negative control group,knockdown of miR-27a-3p inhibited the phosphorylated levels of extracellular regulated protein kinase,c-Jun N-terminal kinase,and p38 MAPK(P<0.05).Compared with the miR-27a-3p mimic group,specific inhibitors of extracellular regulated protein kinase,c-Jun N-terminal kinase,and p38 MAPK reversed the effects of miR-27a-3p on the proliferative activity(P<0.01)and proliferation level(P<0.001)of fibroblasts.To conclude,these results suggest that miR-27a-3p promotes the proliferation of human hypertrophic scar fibroblasts by activating the MAPK signaling pathway.
8.Isolation,culture and differentiation of human urine-derived stem cells into smooth muscle cells
Jiahui CHEN ; Xiaoqi DAI ; Yangang XU ; Yuanchao LI ; Mei HUANG ; Yifei ZHAN ; Yuxuan DU ; Liuqiang LI ; Yaochuan GUO ; Jun BIAN ; Dehui LAI
Chinese Journal of Tissue Engineering Research 2025;29(19):4076-4082
BACKGROUND:Traditional methods of urinary tract reconstruction are limited by donor scarcity,high complication rates,and suboptimal functional recovery.Tissue engineering strategies offer new directions in this field.Since the urinary tract is mainly composed of muscle tissue,the key is to find suitable seed cells and efficiently induce them to differentiate into smooth muscle cells.Comparative studies on the efficacy of different smooth muscle cell induction regimens are still lacking. OBJECTIVE:To isolate,culture,and identify human urine-derived stem cells,and to compare the effects of two different induction protocols. METHODS:Human urine-derived stem cells were isolated from urine samples of 11 healthy adult volunteers by multiple centrifugations.Surface markers were identified by flow cytometry.The multi-directional differentiation potential of human urine-derived stem cells was verified through osteogenic and adipogenic differentiation.Differentiation was induced by transforming growth factor-β1 or transforming growth factor-β1 combined with platelet derived growth factor for 14 days.Immunofluorescence staining and western blot assay were employed to compare the expression differences of smooth muscle-specific proteins(α-SMA and SM22). RESULTS AND CONCLUSION:(1)Urine-derived stem cells were successfully isolated from the eight urine samples of healthy people.These cells exhibit a"rice grain"-like morphology and possess a robust proliferative capacity.(2)Urine-derived stem cells exhibited high expression of mesenchymal stem cell surface markers(CD73,CD90,and CD44)and extremely low expression of hematopoietic stem cell surface markers(CD34 and CD45).These cells did not express CD19,CD105,and HLA-DR.(3)After osteogenic and adipogenic differentiation,the formation of calcium nodules and lipid droplets was observed,with positive staining results from Alizarin Red S and Oil Red O staining.(4)After 14 days of smooth muscle induction culture,immunofluorescence staining revealed that the smooth muscle differentiation rate of urine-derived stem cells treated with a combination of transforming growth factor-β1 and platelet derived growth factor was significantly higher compared to those treated with transforming growth factor-β1 alone(P<0.005).(5)After 14 days of smooth muscle induction culture,western blot assay further demonstrated that the expression levels of α-SMA and SM22 in the transforming growth factor-β1/platelet derived growth factor group were significantly elevated compared to those in the transforming growth factor-β1 only group(P<0.005).These findings confirm that urine-derived stem cells can be non-invasively isolated using multiple rounds of centrifugation.Compared with transforming growth factor-β1 alone,the combination of transforming growth factor-β1 and platelet derived growth factor can improve the efficiency of inducing urine-derived stem cells to differentiate into smooth muscle cells.
9.Analysis of the efficacy of traditional Chinese medicine for diabetic retinopathy based on evidence body quality assessment
Juan LING ; Zhuolin XIE ; Xiangxia LUO ; Wanying GUO ; Jiajin LI ; Jun ZHOU ; Xufei LUO
China Pharmacy 2025;36(7):863-866
OBJECTIVE To evaluate the quality of evidence in the systematic evaluation/meta-analysis of traditional Chinese medicine (TCM) for diabetes retinopathy (DR) based on the GRADE system. METHODS Chinese and English databases were searched to obtain the relevant studies of systematic evaluation/meta-analysis of traditional Chinese medicine in the treatment of DR. The search time was from the establishment of each database to January 13th, 2024. According to the inclusion and exclusion criteria, literature screening was conducted. After extracting relevant information from the included literature, the GRADE system was used to evaluate the quality level of the evidence body in the included studies, and the evidence of the outcome indicators was integrated and summarized. RESULTS A total of 51 studies were ultimately included, encompassing 135 outcome indexes. Among these, 19 indicators (14.1%) were of high quality, 87 (64.4%) were of medium quality, 26 (19.3%) were of low quality, and 3 (2.2%) were of very low quality. Overall, the evidence quality of the outcome indicators in the included studies was medium to low quality. The integrated results of evidence on the efficacy of outcome indexes showed that compared with conventional Western medicine, calcium dobesilate or placebo, TCM had significant advantages in improving overall efficacy, reducing bleeding spot area, reducing macular foveal thickness, and increasing visual improvement rate. In addition,the combination of TCM and conventional Western medicine or calcium dobesilate was significantly more effective than using conventional Western medicine or calcium dobesilate alone. CONCLUSIONS The overall quality of the evidence in the systematic evaluation/meta-analysis study on the treatment of DR with TCM is medium to low quality. Based on existing research findings, TCM demonstrates good clinical efficacy in the treatment of DR.
10.In situ Analytical Techniques for Membrane Protein Interactions
Zi-Yuan KANG ; Tong YU ; Chao LI ; Xue-Hua ZHANG ; Jun-Hui GUO ; Qi-Chang LI ; Jing-Xing GUO ; Hao XIE
Progress in Biochemistry and Biophysics 2025;52(5):1206-1218
Membrane proteins are integral components of cellular membranes, accounting for approximately 30% of the mammalian proteome and serving as targets for 60% of FDA-approved drugs. They are critical to both physiological functions and disease mechanisms. Their functional protein-protein interactions form the basis for many physiological processes, such as signal transduction, material transport, and cell communication. Membrane protein interactions are characterized by membrane environment dependence, spatial asymmetry, weak interaction strength, high dynamics, and a variety of interaction sites. Therefore, in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery.

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