1.Study on the effects and mechanisms of Lycium ruthenicum Murr. in improving sleep
Ming QIAO ; Yao ZHAO ; Yi ZHU ; Yexia CAO ; Limei WEN ; Yuehong GONG ; Xiang LI ; Juanchen WANG ; Tao WANG ; Jianhua YANG ; Junping HU
China Pharmacy 2026;37(1):24-29
OBJECTIVE To investigate the effects and mechanisms of Lycium ruthenicum Murr. in improving sleep. METHODS Network pharmacology was employed to identify the active components of L. ruthenicum and their associated disease targets, followed by enrichment analysis. A caffeine‑induced zebrafish model of sleep deprivation was established , and the zebrafish were treated with L. ruthenicum Murr. extract (LRME) at concentrations of 0.1, 0.2 and 0.4 mg/mL, respectively; 24 h later, behavioral changes of zebrafish and pathological alterations in brain neurons were subsequently observed. The levels of inflammatory factors [interleukin-6 (IL-6), IL-1β, IL-10, tumor necrosis factor-α (TNF-α)], oxidative stress markers [superoxide dismutase (SOD), malondialdehyde (MDA), glutathione peroxidase (GSH-Px), catalase (CAT)], and neurotransmitters [5- hydroxytryptamine (5-HT), γ-aminobutyric acid (GABA), glutamic acid (Glu), dopamine (DA), and norepinephrine (NE)] were measured. The protein expression levels of protein kinase B1 (AKT1), phosphorylated AKT1 (p-AKT1), epidermal growth factor receptor (EGFR), B-cell lymphoma 2 (Bcl-2), sarcoma proto-oncogene,non-receptor tyrosine kinase (SRC), and heat shock protein 90α family class A member 1 (HSP90AA1) in the zebrafish were also determined. RESULTS A total of 12 active components and 176 intersecting disease targets were identified through network pharmacology analysis. Among these, apigenin, naringenin and others were recognized as core active compounds, while AKT1, EGFR and others served as key targets; EGFR tyrosine kinase inhibitor resistance signaling pathway was identified as the critical pathway. The sleep improvement rates in zebrafish of LRME low-, medium-, and high-dose groups were 54.60%, 69.03% and 77.97%, 开发。E-mail:hjp_yft@163.com respectively, while the inhibition ratios of locomotor distance were 0.57, 0.83 and 0.95, respectively. Compared with the model group, the number of resting counts, resting time and resting distance were significantly increased/extended in LRME medium- and high-dose groups (P<0.05). Neuronal damage in the brain was alleviated. Additionally, the levels of IL-6, IL-1β, TNF-α, MDA, Glu, DA and NE, as well as the protein expression levels of AKT1, p-AKT1, EGFR, SRC and HSP90AA1, were markedly reduced (P<0.05), while the levels of IL-10, SOD, GSH-Px, CAT, 5-HT and GABA, as well as Bcl-2 protein expression, were significantly elevated (P<0.05). CONCLUSIONS L. ruthenicum Murr. demonstrates sleep-improving effects, and its specific mechanism may be related to the regulation of inflammatory responses, oxidative stress, neurotransmitter balance, and the EGFR tyrosine kinase inhibitor resistance signaling pathway.
2.Identification of a JAK-STAT-miR155HG positive feedback loop in regulating natural killer (NK) cells proliferation and effector functions.
Songyang LI ; Yongjie LIU ; Xiaofeng YIN ; Yao YANG ; Xinjia LIU ; Jiaxing QIU ; Qinglan YANG ; Yana LI ; Zhiguo TAN ; Hongyan PENG ; Peiwen XIONG ; Shuting WU ; Lanlan HUANG ; Xiangyu WANG ; Sulai LIU ; Yuxing GONG ; Yuan GAO ; Lingling ZHANG ; Junping WANG ; Yafei DENG ; Zhaoyang ZHONG ; Youcai DENG
Acta Pharmaceutica Sinica B 2025;15(4):1922-1937
The Janus kinase/signal transducers and activators of transcription (JAK-STAT) control natural killer (NK) cells development and cytotoxic functions, however, whether long non-coding RNAs (lncRNAs) are involved in this pathway remains unknown. We found that miR155HG was elevated in activated NK cells and promoted their proliferation and effector functions in both NK92 and induced-pluripotent stem cells (iPSCs)-derived NK (iPSC-NK) cells, without reliance on its derived miR-155 and micropeptide P155. Mechanistically, miR155HG bound to miR-6756 and relieved its repression of JAK3 expression, thereby promoting the JAK-STAT pathway and enhancing NK cell proliferation and function. Further investigations disclosed that upon cytokine stimulation, STAT3 directly interacts with miR155HG promoter and induces miR155HG transcription. Collectively, we identify a miR155HG-mediated positive feedback loop of the JAK-STAT signaling. Our study will also provide a power target regarding miR155HG for improving NK cell generation and effector function in the field of NK cell adoptive transfer therapy against cancer, especially iPSC-derived NK cells.
3.Effect and Mechanism of Niuhuang Qingxinwan in Protecting Blood-brain Barrier of Intracerebral Hemorrhage Mice with Tanre Fushi Syndrome
Xueyu LING ; Miling ZHANG ; Yuanhao XU ; Liangying BAO ; Shuaishuai GONG ; Junping KOU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(24):39-49
ObjectiveTo investigate the effect of Niuhuang Qingxinwan (NHQXW) in improving intracerebral hemorrhage (ICH) with Tanre Fushi (phlegm-heat and fu-organ excess) syndrome by maintaining blood-brain barrier (BBB) integrity, and to explore its potential mechanism. MethodsMale mice were administered with 15% autologous feces for 3 consecutive days to simulate spontaneous Tanre Fushi syndrome, followed by surgical induction of collagenase-induced ICH on the fourth day. Mice were randomly assigned to seven groups: Sham, Sham+NHQXW-H, collagenase, collagenase+feces, and NHQXW intervention groups at low (NHQXW-L, 0.225 g·kg-1), medium (NHQXW-M, 0.45 g·kg-1), and high (NHQXW-H, 0.9 g·kg-1) doses. Treatments were administered for 3 days after surgery. NHQXW effects on Tanre Fushi syndrome were assessed via fecal water content and small intestinal carbon propulsion rate. Protective effects of NHQXW against ICH with Tanre Fushi syndrome were evaluated by measuring hematoma volume, neurological deficits, and brain water content. BBB integrity was further assessed using Evans blue staining, hematoxylin-eosin (HE) staining, immunofluorescence, and Western blot for Claudin-5, plasmalemma vesicle-associated protein (PLVAP), matrix metalloproteinase (MMP)-2, and MMP-9. The potential mechanism of NHQXW was investigated by detecting protein expression of protein kinase B (Akt), extracellular signal-regulated kinase 1/2 (ERK1/2), signal transducer and activator of transcription 3 (STAT3), Yes-associated protein (YAP), and their phosphorylated forms. ResultsCompared with the collagenase+feces group, NHQXW-M and NHQXW-H significantly reduced fecal water content (P<0.05, P<0.01) and intestinal propulsion rate (P<0.01), alleviated neurological deficits (P<0.01), decreased hematoma volume (P<0.01) and Evans blue extravasation (P<0.01), increased Claudin-5 protein expression (P<0.05, P<0.01) and fluorescence intensity (P<0.01), and decreased PLVAP protein expression (P<0.01) and fluorescence intensity (P<0.05, P<0.01), as well as MMP-2 (P<0.05, P<0.01) and MMP-9 (P<0.01) expression. NHQXW-H downregulated p-Akt (P<0.05), p-ERK1/2 (P<0.05), p-STAT3 (P<0.01), and p-YAP (P<0.05), with the most significant effect observed on STAT3 phosphorylation. ConclusionNHQXW effectively alleviates neurological deficits and BBB injury in ICH mice with Tanre Fushi syndrome, primarily by inhibiting STAT3 activation.
4.Machine learning combined with bioinformatics screening of key genes for pulmonary fibrosis associated with cellular autophagy and experimental validation
Yuehong GONG ; Mengjun WANG ; Hang REN ; Hui ZHENG ; Jiajia SUN ; Junpeng LIU ; Fei ZHANG ; Jianhua YANG ; Junping HU
Chinese Journal of Tissue Engineering Research 2025;29(35):7679-7689
BACKGROUND:Early diagnosis of pulmonary fibrosis is the foundation for timely antifibrotic drug therapy.Therefore,exploring and discovering ideal biomarkers that can be effectively used for the early diagnosis of pulmonary fibrosis is crucial for the treatment of the disease.OBJECTIVE:To conduct an in-depth analysis of key autophagy-related genes involved in the process of pulmonary fibrosis by means of bioinformatics and machine learning techniques,in order to investigate whether autophagy-related core genes of pulmonary fibrosis can be used as reliable biomarkers in the assessment of the progression of pulmonary fibrosis.METHODS:Two datasets of pulmonary fibrosis,GSE24206 and GSE110147,were downloaded from the Gene Expression Omnibus(GEO)database(a public database developed and maintained by the U.S.National Center for Biotechnology Information to store and share bioinformatics data),and the gene expression matrices of these two datasets were normalized by using the"limma"package in R software.The autophagy-related genes were extracted from GeneCards database(a database created by the U.S.National Center for Biotechnology Information,which automatically integrates gene-centric data from about 200 Web sources,including genomic,transcriptomic,proteomic,genetic,clinical,and functional information).Differential gene analysis was performed on the pulmonary fibrosis dataset,and the common genes were extracted by cross-comparing the differential genes with the autophagy genes,so as to identify autophagy genes that may play a role in the process of pulmonary fibrosis.The intersecting genes were analyzed for functional enrichment and cellular immune infiltration by gene ontology and Kyoto Encyclopedia of Genes and Genomes.Core genes of pulmonary fibrosis associated with autophagy were screened by protein-protein interactions and machine learning,and core genes were subjected to the enrichment analysis.Diagnostic models were constructed from the identified core genes.Calibration curves were used to assess the predictive ability of the line graph model.An external dataset,GSE21369,was used to perform a receiver operating characteristic curve analysis to validate the expression profiles of pulmonary fibrosis genes associated with autophagy,as well as to predict Chinese herbs associated with the genes IL6 and COL1A2 via the Coremine database.Finally,human embryonic lung fibroblasts were cultured and modelled by transforming growth factor-β1 treatment,and the relative expression of genes in the model cells was verified using qRT-PCR.RESULTS AND CONCLUSION:(1)A total of 51 pulmonary fibrosis differential genes and 25 genes intersecting with autophagy genes were obtained.Gene ontology analysis showed that the 25 intersecting genes were related to extracellular matrix tissue,collagen metabolism,collagen pro-fibroblasts,and growth factor binding,etc.The results of Kyoto Encyclopedia of Genes and Genomes enrichment analysis indicated that they were mainly related to the Phosphatidylinositol 3-kinase/protein kinase B signaling pathway and the signaling pathway of the extracellular matrix-receptor interactions.(2)Immunoinfiltration analysis revealed that the expression of activated memory CD4+T cells,M0 macrophages,and resting dendritic cells was significantly elevated in the pulmonary fibrosis group(P<0.05),showing a strong correlation.(3)Two autophagy signature genes involved in the progression of pulmonary fibrosis were identified:COL1A2 and IL6.The column-line diagram model showed that the two core genes predicted the onset of pulmonary fibrosis more accurately,and the receiver operating characteristic curve analysis showed that the two characteristic genes had diagnostic significance.COL1A2 and IL6 were related to the cell-cycle pathway,mitogen-activated protein kinase signaling pathway,Janus kinase-signal transduction and activator of transcription signaling pathway and cytokine-cytokine receptor interactions.A total of 20 Chinese herbs were predicted to be related to COL1A2 and IL6 genes,and their efficacies were mainly to clear away heat and detoxify toxins and to invigorate blood and move qi.COL1A2 and IL6 were verified to be highly expressed in pulmonary fibrosis.To conclude,COL1A2 and IL6 may be potential diagnostic biomarkers for pulmonary fibrosis,but its specificity to pulmonary fibrosis needs to be further investigated.
5.Machine learning combined with bioinformatics screening of key genes for pulmonary fibrosis associated with cellular autophagy and experimental validation
Yuehong GONG ; Mengjun WANG ; Hang REN ; Hui ZHENG ; Jiajia SUN ; Junpeng LIU ; Fei ZHANG ; Jianhua YANG ; Junping HU
Chinese Journal of Tissue Engineering Research 2025;29(35):7679-7689
BACKGROUND:Early diagnosis of pulmonary fibrosis is the foundation for timely antifibrotic drug therapy.Therefore,exploring and discovering ideal biomarkers that can be effectively used for the early diagnosis of pulmonary fibrosis is crucial for the treatment of the disease.OBJECTIVE:To conduct an in-depth analysis of key autophagy-related genes involved in the process of pulmonary fibrosis by means of bioinformatics and machine learning techniques,in order to investigate whether autophagy-related core genes of pulmonary fibrosis can be used as reliable biomarkers in the assessment of the progression of pulmonary fibrosis.METHODS:Two datasets of pulmonary fibrosis,GSE24206 and GSE110147,were downloaded from the Gene Expression Omnibus(GEO)database(a public database developed and maintained by the U.S.National Center for Biotechnology Information to store and share bioinformatics data),and the gene expression matrices of these two datasets were normalized by using the"limma"package in R software.The autophagy-related genes were extracted from GeneCards database(a database created by the U.S.National Center for Biotechnology Information,which automatically integrates gene-centric data from about 200 Web sources,including genomic,transcriptomic,proteomic,genetic,clinical,and functional information).Differential gene analysis was performed on the pulmonary fibrosis dataset,and the common genes were extracted by cross-comparing the differential genes with the autophagy genes,so as to identify autophagy genes that may play a role in the process of pulmonary fibrosis.The intersecting genes were analyzed for functional enrichment and cellular immune infiltration by gene ontology and Kyoto Encyclopedia of Genes and Genomes.Core genes of pulmonary fibrosis associated with autophagy were screened by protein-protein interactions and machine learning,and core genes were subjected to the enrichment analysis.Diagnostic models were constructed from the identified core genes.Calibration curves were used to assess the predictive ability of the line graph model.An external dataset,GSE21369,was used to perform a receiver operating characteristic curve analysis to validate the expression profiles of pulmonary fibrosis genes associated with autophagy,as well as to predict Chinese herbs associated with the genes IL6 and COL1A2 via the Coremine database.Finally,human embryonic lung fibroblasts were cultured and modelled by transforming growth factor-β1 treatment,and the relative expression of genes in the model cells was verified using qRT-PCR.RESULTS AND CONCLUSION:(1)A total of 51 pulmonary fibrosis differential genes and 25 genes intersecting with autophagy genes were obtained.Gene ontology analysis showed that the 25 intersecting genes were related to extracellular matrix tissue,collagen metabolism,collagen pro-fibroblasts,and growth factor binding,etc.The results of Kyoto Encyclopedia of Genes and Genomes enrichment analysis indicated that they were mainly related to the Phosphatidylinositol 3-kinase/protein kinase B signaling pathway and the signaling pathway of the extracellular matrix-receptor interactions.(2)Immunoinfiltration analysis revealed that the expression of activated memory CD4+T cells,M0 macrophages,and resting dendritic cells was significantly elevated in the pulmonary fibrosis group(P<0.05),showing a strong correlation.(3)Two autophagy signature genes involved in the progression of pulmonary fibrosis were identified:COL1A2 and IL6.The column-line diagram model showed that the two core genes predicted the onset of pulmonary fibrosis more accurately,and the receiver operating characteristic curve analysis showed that the two characteristic genes had diagnostic significance.COL1A2 and IL6 were related to the cell-cycle pathway,mitogen-activated protein kinase signaling pathway,Janus kinase-signal transduction and activator of transcription signaling pathway and cytokine-cytokine receptor interactions.A total of 20 Chinese herbs were predicted to be related to COL1A2 and IL6 genes,and their efficacies were mainly to clear away heat and detoxify toxins and to invigorate blood and move qi.COL1A2 and IL6 were verified to be highly expressed in pulmonary fibrosis.To conclude,COL1A2 and IL6 may be potential diagnostic biomarkers for pulmonary fibrosis,but its specificity to pulmonary fibrosis needs to be further investigated.
6.Niuhuang Qingxin Pills and Active Ingredients in Prevention and Treatment of Stroke: A Review
Miling ZHANG ; Liangying BAO ; Yujie DAI ; Shuaishuai GONG ; Junping KOU
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(18):251-259
Stroke is a neurological disease characterized by cerebral ischemia or hemorrhagic injury, leading to death and disability worldwide. At present, there is still a lack of neuroprotective drugs for the treatment of stroke. Niuhuang Qingxin pills are Chinese patent medicine recommended by guidelines and expert consensus for preventing and treating stroke. Studies have shown that Niuhuang Qingxin pills have sedative, anticonvulsant, antipyretic, and other pharmacological effects. Moreover, the main components, such as flavonoids, phenolic acids, and saponins, also exhibit strong pharmacological activities which can improve stroke-induced nerve damage. Studies have confirmed that representative ingredients such as baicalin and ginsenosides can interfere with multiple pathological events, including blood-brain barrier destruction, oxidative stress, inflammatory response, apoptosis, and autophagy, and the mechanisms of the essential ingredients are related to the action on important targets such as Kelch-like ECH-associated protein 1 (Keap1), matrix metalloproteinase-9 (MMP-9), and high-mobility group box 1 (HMGB1), and involvement in the regulation of Toll-like receptor 4 (TLR4)/nuclear factor-κB (NF-κB), nuclear factor E2-related factor 2 (Nrf2)/heme oxygenase-1 (HO-1), and phosphoinositide 3-kinase (PI3K)/protein kinase B (Akt) signaling pathways. This article summarized the research status of Niuhuang Qingxin pills and the experimental pharmacological progress of common ingredients in the prevention and treatment of stroke to provide clues for further research into Niuhuang Qingxin pills and the development of active ingredients of traditional Chinese medicines.
7.Hepatocyte apoptosis fragment product cytokeratin-18 M30 level and non-alcoholic steatohepatitis risk diagnosis: an international registry study.
Huai ZHANG ; Rafael S RIOS ; Jerome BOURSIER ; Rodolphe ANTY ; Wah-Kheong CHAN ; Jacob GEORGE ; Yusuf YILMAZ ; Vincent Wai-Sun WONG ; Jiangao FAN ; Jean-François DUFOUR ; George PAPATHEODORIDIS ; Li CHEN ; Jörn M SCHATTENBERG ; Junping SHI ; Liang XU ; Grace Lai-Hung WONG ; Naomi F LANGE ; Margarita PAPATHEODORIDI ; Yuqiang MI ; Yujie ZHOU ; Christopher D BYRNE ; Giovanni TARGHER ; Gong FENG ; Minghua ZHENG
Chinese Medical Journal 2023;136(3):341-350
BACKGROUND:
Liver biopsy for the diagnosis of non-alcoholic steatohepatitis (NASH) is limited by its inherent invasiveness and possible sampling errors. Some studies have shown that cytokeratin-18 (CK-18) concentrations may be useful in diagnosing NASH, but results across studies have been inconsistent. We aimed to identify the utility of CK-18 M30 concentrations as an alternative to liver biopsy for non-invasive identification of NASH.
METHODS:
Individual data were collected from 14 registry centers on patients with biopsy-proven non-alcoholic fatty liver disease (NAFLD), and in all patients, circulating CK-18 M30 levels were measured. Individuals with a NAFLD activity score (NAS) ≥5 with a score of ≥1 for each of steatosis, ballooning, and lobular inflammation were diagnosed as having definite NASH; individuals with a NAS ≤2 and no fibrosis were diagnosed as having non-alcoholic fatty liver (NAFL).
RESULTS:
A total of 2571 participants were screened, and 1008 (153 with NAFL and 855 with NASH) were finally enrolled. Median CK-18 M30 levels were higher in patients with NASH than in those with NAFL (mean difference 177 U/L; standardized mean difference [SMD]: 0.87 [0.69-1.04]). There was an interaction between CK-18 M30 levels and serum alanine aminotransferase, body mass index (BMI), and hypertension ( P < 0.001, P = 0.026 and P = 0.049, respectively). CK-18 M30 levels were positively associated with histological NAS in most centers. The area under the receiver operating characteristics (AUROC) for NASH was 0.750 (95% confidence intervals: 0.714-0.787), and CK-18 M30 at Youden's index maximum was 275.7 U/L. Both sensitivity (55% [52%-59%]) and positive predictive value (59%) were not ideal.
CONCLUSION
This large multicenter registry study shows that CK-18 M30 measurement in isolation is of limited value for non-invasively diagnosing NASH.
Humans
;
Non-alcoholic Fatty Liver Disease/diagnosis*
;
Keratin-18
;
Biomarkers
;
Biopsy
;
Hepatocytes/pathology*
;
Apoptosis
;
Liver/pathology*
8.Progress of research on the pharmacological effects and mechanisms of emodin
Congyu WU ; Yue ZHOU ; Luxi SHANGGUAN ; Yani YANG ; Jingya WANG ; Junhe YU ; Shuaishuai GONG ; Junping KOU
Journal of China Pharmaceutical University 2023;54(5):634-643
As an active hydroxyanthraquinone ingredient, emodin is abundant in Chinese medicine herbs, such as Rheum palmatum, Polygonum cuspidatum and Polygonum multiflorum.Modern pharmacological studies have shown that emodin has a variety of pharmacological activities including anti-tumor, anti-inflammatory and immunoregulatory, antibacterial and anti-viral effects, myocardial protection, neuroprotection, renal protection, bone protection, antifibrosis and so on, which indicate its high medicinal value and broad application prospects.This article aims to summarize the progress in the pharmacological activity and mechanism of action of emodin published in domestic and international journals over the last 5 years and highlight the potential targets and molecular signaling pathways linked with emodin, so as to provide some clues and references for further development and clinical application of emodin.
9.Ruscogenin alleviates LPS-triggered pulmonary endothelial barrier dysfunction through targeting NMMHC IIA to modulate TLR4 signaling.
Yunhao WU ; Xiu YU ; Yuwei WANG ; Yalin HUANG ; Jiahui TANG ; Shuaishuai GONG ; Siyu JIANG ; Yuanli XIA ; Fang LI ; Boyang YU ; Yuanyuan ZHANG ; Junping KOU
Acta Pharmaceutica Sinica B 2022;12(3):1198-1212
Pulmonary endothelial barrier dysfunction is a hallmark of clinical pulmonary edema and contributes to the development of acute lung injury (ALI). Here we reported that ruscogenin (RUS), an effective steroidal sapogenin of Radix Ophiopogon japonicus, attenuated lipopolysaccharides (LPS)-induced pulmonary endothelial barrier disruption through mediating non-muscle myosin heavy chain IIA (NMMHC IIA)‒Toll-like receptor 4 (TLR4) interactions. By in vivo and in vitro experiments, we observed that RUS administration significantly ameliorated LPS-triggered pulmonary endothelial barrier dysfunction and ALI. Moreover, we identified that RUS directly targeted NMMHC IIA on its N-terminal and head domain by serial affinity chromatography, molecular docking, biolayer interferometry, and microscale thermophoresis analyses. Downregulation of endothelial NMMHC IIA expression in vivo and in vitro abolished the protective effect of RUS. It was also observed that NMMHC IIA was dissociated from TLR4 and then activating TLR4 downstream Src/vascular endothelial cadherin (VE-cadherin) signaling in pulmonary vascular endothelial cells after LPS treatment, which could be restored by RUS. Collectively, these findings provide pharmacological evidence showing that RUS attenuates LPS-induced pulmonary endothelial barrier dysfunction by inhibiting TLR4/Src/VE-cadherin pathway through targeting NMMHC IIA and mediating NMMHC IIA‒TLR4 interactions.
10.Erratum: Author correction to 'Ruscogenin alleviates LPS-triggered pulmonary endothelial barrier dysfunction through targeting NMMHC IIA to modulate TLR4 signaling' Acta Pharmaceutica Sinica B 12 (2022) 1198-1212.
Yunhao WU ; Xiu YU ; Yuwei WANG ; Yalin HUANG ; Jiahui TANG ; Shuaishuai GONG ; Siyu JIANG ; Yuanli XIA ; Fang LI ; Boyang YU ; Yuanyuan ZHANG ; Junping KOU
Acta Pharmaceutica Sinica B 2022;12(7):3198-3199
[This corrects the article DOI: 10.1016/j.apsb.2021.09.017.].

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