1.Effect Analysis of Different Interventions to Improve Neuroinflammation in The Treatment of Alzheimer’s Disease
Jiang-Hui SHAN ; Chao-Yang CHU ; Shi-Yu CHEN ; Zhi-Cheng LIN ; Yu-Yu ZHOU ; Tian-Yuan FANG ; Chu-Xia ZHANG ; Biao XIAO ; Kai XIE ; Qing-Juan WANG ; Zhi-Tao LIU ; Li-Ping LI
Progress in Biochemistry and Biophysics 2025;52(2):310-333
Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.
2.Mechanism of Neochlorogenic Acid in Ameliorating Psoriatic Keratinocyte Proliferation and Inflammation by Targeting HSP90 to Modulate NF-κB/NLRP3 Signaling Pathway
Mengyao JIANG ; Xinwei ZHANG ; Bin YANG ; Ping SONG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(17):89-98
ObjectiveTo investigate the target proteins directly bound by neochlorogenic acid (NA) and the molecular mechanisms that ameliorate the proliferation and inflammatory response of psoriatic keratinocytes. MethodsM5-induced HaCaT cells were used as a psoriatic keratinocyte proliferation and inflammatory cell model. The synthesized NA probe (NA-P) and NA prodrug were first evaluated for cell viability using a cell proliferation/cell counting kit-8(CCK-8). The potency of NA and NA-P was evaluated in the safe concentration range, and the effects of 0-100 μmol·L-1 NA and probe on M5-induced proliferation of HaCaT cells were detected using CCK-8. The effects of 20, 40, 80 μmol·L-1 NA and 80 μmol·L-1 NA-P on the expression of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), interleukin-23 (IL-23), and interleukin-17A (IL-17A) inflammatory factors were detected by enzyme-linked immunosorbent assay (ELISA), and real-time fluorescence quantitative polymerase chain reaction (Real-time PCR) was used to measure the effects of NA on the mRNA expression of keratin 16 (K16) in HaCaT cells, S100 calcium-binding protein A9 (S100A9), S100 calcium-binding protein A7 (S100A7), IL-6, IL-17A, and chemokine 1 (CXCL1). In vitro fluorescence labeling and competition experiments using NA-P were performed, and target protein angling and analysis using pull-down experiments combined with liquid chromatography-mass spectrometry (Pull-down/LC-MS/MS) were conducted. Target validation was performed using pull-down experiments combined with protein immunoblotting (Pull down-WB), cellular heat transfer analysis combined with protein immunoblot (CETSA-WB) experiments, and molecular docking. Finally, Real-time PCR was utilized to detect the effects of 20, 40, 80 μmol·L-1 NA and 80 μmol·L-1 NA-P on the mRNA expression of IL-1β, nucleotide-binding oligomeric structural domain-like receptor protein 3 (NLRP3), apoptosis-associated speckled-like protein (ASC), and cysteine protease-1 (Caspase-1) in HaCaT cells. Protein immunoblot (Western blot) was used to detect the effects of phosphorylated p65 (p-p65), p65, phosphorylated human nuclear factor-κB inhibitory protein α (p-IκBα), human nuclear factor κB inhibitory protein α (IκBα), and heat shock protein 90 (HSP90) expression. ResultsIn the 200 μmol·L-1 safe concentration range, HaCaT cell proliferation, increased expression of TNF-α, IL-1β, IL-23, and IL-17A inflammatory factors, and increased mRNA expression of K16, S100A9, S100A7, IL-6, IL-17A, and CXCL1 were observed in the M5 group compared with the blank group. Cell proliferation in 5-100 μmol·L-1 NA and NA-P groups was inhibited, and the expression of TNF-α, IL-1β, IL-23, and IL-17A inflammatory factors was decreased in the NA-L, NA-M, NA-H, and NA-P-H groups. The mRNA expression of K16, S100A9, S100A7, IL-6, IL-17A, and CXCL1 was decreased (P<0.05). High-confidence targets were screened for HSP90 protein by Pull-down/LC-MS/MS using 200 μmol·L-1 NA competing with 100 μmol·L-1 NA-P. Compared with that in the blank group, the mRNA expression of NLRP3, IL-1β, ASC, and Caspase-1, as well as the expression of p-p65/p65, p-IκBα/IκBα, and HSP90 protein, were increased in HaCaT cells in the M5 group (P<0.05). Compared with that in the M5 group, the mRNA expression of NLRP3, IL-1β, ASC, and Caspase-1 of cells in the NA-L group, the NA-M group, the NA-H group, and the NA-P-H group was decreased (P<0.05). p-p65/p65 and p-IκBα/IκBα were decreased in the NA-M and NA-H groups (P<0.05), and there was no change in HSP90 protein. Pull down-WB showed that NA could directly target HSP90 protein, and NA binding to HSP90 protein enhanced its thermal stability. Molecular docking of NA with HSP90 family proteins HSP90AA1, HSP90B1, and HSP90AB1 all resulted in highly stable binding. ConclusionNA can inhibit the proliferation and inflammatory response of psoriatic keratinocytes by a mechanism that may be achieved by targeting HSP90 to modulate the NF-κB/NLRP3 signaling pathway.
3.Mechanism of Neochlorogenic Acid in Ameliorating Psoriatic Keratinocyte Proliferation and Inflammation by Targeting HSP90 to Modulate NF-κB/NLRP3 Signaling Pathway
Mengyao JIANG ; Xinwei ZHANG ; Bin YANG ; Ping SONG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(17):89-98
ObjectiveTo investigate the target proteins directly bound by neochlorogenic acid (NA) and the molecular mechanisms that ameliorate the proliferation and inflammatory response of psoriatic keratinocytes. MethodsM5-induced HaCaT cells were used as a psoriatic keratinocyte proliferation and inflammatory cell model. The synthesized NA probe (NA-P) and NA prodrug were first evaluated for cell viability using a cell proliferation/cell counting kit-8(CCK-8). The potency of NA and NA-P was evaluated in the safe concentration range, and the effects of 0-100 μmol·L-1 NA and probe on M5-induced proliferation of HaCaT cells were detected using CCK-8. The effects of 20, 40, 80 μmol·L-1 NA and 80 μmol·L-1 NA-P on the expression of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), interleukin-23 (IL-23), and interleukin-17A (IL-17A) inflammatory factors were detected by enzyme-linked immunosorbent assay (ELISA), and real-time fluorescence quantitative polymerase chain reaction (Real-time PCR) was used to measure the effects of NA on the mRNA expression of keratin 16 (K16) in HaCaT cells, S100 calcium-binding protein A9 (S100A9), S100 calcium-binding protein A7 (S100A7), IL-6, IL-17A, and chemokine 1 (CXCL1). In vitro fluorescence labeling and competition experiments using NA-P were performed, and target protein angling and analysis using pull-down experiments combined with liquid chromatography-mass spectrometry (Pull-down/LC-MS/MS) were conducted. Target validation was performed using pull-down experiments combined with protein immunoblotting (Pull down-WB), cellular heat transfer analysis combined with protein immunoblot (CETSA-WB) experiments, and molecular docking. Finally, Real-time PCR was utilized to detect the effects of 20, 40, 80 μmol·L-1 NA and 80 μmol·L-1 NA-P on the mRNA expression of IL-1β, nucleotide-binding oligomeric structural domain-like receptor protein 3 (NLRP3), apoptosis-associated speckled-like protein (ASC), and cysteine protease-1 (Caspase-1) in HaCaT cells. Protein immunoblot (Western blot) was used to detect the effects of phosphorylated p65 (p-p65), p65, phosphorylated human nuclear factor-κB inhibitory protein α (p-IκBα), human nuclear factor κB inhibitory protein α (IκBα), and heat shock protein 90 (HSP90) expression. ResultsIn the 200 μmol·L-1 safe concentration range, HaCaT cell proliferation, increased expression of TNF-α, IL-1β, IL-23, and IL-17A inflammatory factors, and increased mRNA expression of K16, S100A9, S100A7, IL-6, IL-17A, and CXCL1 were observed in the M5 group compared with the blank group. Cell proliferation in 5-100 μmol·L-1 NA and NA-P groups was inhibited, and the expression of TNF-α, IL-1β, IL-23, and IL-17A inflammatory factors was decreased in the NA-L, NA-M, NA-H, and NA-P-H groups. The mRNA expression of K16, S100A9, S100A7, IL-6, IL-17A, and CXCL1 was decreased (P<0.05). High-confidence targets were screened for HSP90 protein by Pull-down/LC-MS/MS using 200 μmol·L-1 NA competing with 100 μmol·L-1 NA-P. Compared with that in the blank group, the mRNA expression of NLRP3, IL-1β, ASC, and Caspase-1, as well as the expression of p-p65/p65, p-IκBα/IκBα, and HSP90 protein, were increased in HaCaT cells in the M5 group (P<0.05). Compared with that in the M5 group, the mRNA expression of NLRP3, IL-1β, ASC, and Caspase-1 of cells in the NA-L group, the NA-M group, the NA-H group, and the NA-P-H group was decreased (P<0.05). p-p65/p65 and p-IκBα/IκBα were decreased in the NA-M and NA-H groups (P<0.05), and there was no change in HSP90 protein. Pull down-WB showed that NA could directly target HSP90 protein, and NA binding to HSP90 protein enhanced its thermal stability. Molecular docking of NA with HSP90 family proteins HSP90AA1, HSP90B1, and HSP90AB1 all resulted in highly stable binding. ConclusionNA can inhibit the proliferation and inflammatory response of psoriatic keratinocytes by a mechanism that may be achieved by targeting HSP90 to modulate the NF-κB/NLRP3 signaling pathway.
4.Analysis of risk factors for severe illness caused by coronavirus disease 2019 in Fuzhou city
Xiao-Yan ZHENG ; Yi-Mei WANG ; Chen-Ping GUAN ; Ying JIANG ; Xiao-Yang ZHANG
Medical Journal of Chinese People's Liberation Army 2024;49(3):297-301
Objective To analyze the risk factors for severe illness caused by coronavirus disease 2019 in Fuzhou city.Methods The data of 4081 confirmed cases with current address in Fuzhou was collected from China Information System for Disease Control and Prevention from January 1 to June 30,2023.The epidemiological data of those cases was investigated such as the demographic characteristics,clinical manifestations and past medical history,etc.The risk factors of severe cases were analyzed by using the logistic regression.Results 4081 confirmed cases had been reported including 671 severe cases and 3410 non-severe cases.The demographic characteristics of severe cases,such as the proportion of male,age and current address in community were higher than that of non-severe cases,vaccination rate was lower than non-severe cases(59.02%vs.80.12%),the differences are statistically significant(P<0.001).The clinical manifestations such as interval time between onset and visit(P=0.001),fever(P=0.002),difficulty in breathing/shortness of breath(P=0.001)were the factors related to severe illness.The past medical histories such as history of chronic lung disease,history of heart cerebrovascular disease of severe cases,were higher than that of non-severe cases(P<0.001).Multivariate logistic regression showed that the male,the higher age,current address in community,no vaccination,the longer interval time between onset and visit,fever,difficulty in breathing/shortness of breath,the history of chronic lung disease,the history of heart cerebrovascular disease raised the risk of becoming severe cases.The healing time for severe cases was longer than that for non-severe cases(P<0.001).Conclusion Sex,age,current address,vaccination,interval time between onset and visit,fever,difficulty in breathing/shortness of breath,history of chronic lung disease,and history of heart cerebrovascular disease are the influencing factors for severe illness.
5.Evaluation of Animal Model of Autism Spectrum Disorders Based on Characteristics of Clinical Symptoms of Traditional Chinese and Western Medicine
Yatong ZHANG ; Shuyi ZHAO ; Libin YANG ; Shan JIANG ; Jiaxin SUN ; Ping RONG
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(9):202-210
ObjectiveBased on the new method of animal model evaluation, this paper summarized and analyzed the characteristics of traditional Chinese medicine(TCM) and Western medicine syndromes in existing autism spectrum disorder(ASD) animal models, and put forward suggestions for improvement. MethodRelevant literature on ASD animal models in China National Knowledge Infrastructure(CNKI) and PubMed were searched. According to the diagnostic standards of traditional Chinese and western medicine, core symptoms and accompanying symptoms were assigned values, and the clinical consistency of the models was comprehensively evaluated. ResultMost ASD model experimental animals were rodents, and the modeling methods included genetic and non-genetic. Domestic research focused on biochemical induction, while foreign research used genetic models more commonly. Among all models, valproic acid induction had the highest clinical consistency, followed by the neuroligin 4(NLGN4) and contactin associated protein like 2(CNTNAP2) gene knockout models. Most modeling methods could meet the characteristics of surface validity and structural validity, but did not clearly distinguish TCM syndromes. Currently, there is no model that has a high degree of clinical agreement between TCM and western medicine at the same time. ConclusionThe existing ASD animal models are mostly constructed under the guidance of western medicine, which lacks the characteristics of TCM syndromes. And the selection of evaluation indicators of western medicine is relatively single, without specifying the types of TCM syndromes. It is recommended to apply TCM intervention factors during the process of model preparation, to improve the evaluation indicators of traditional Chinese and western medicine, and to emphasize the study of on non-human primates, so as to lay a solid foundation for future experiments.
6.Comparison of Metabolomics Peak-Picking Parameter Optimization Algorithms Based on Chromatographic Peak Shape
Yang-Hao SHENG ; Jue WANG ; Yue-Ping JIANG
Chinese Journal of Analytical Chemistry 2024;52(1):130-137,中插44-中插46
Peak picking is one of the essential steps in non-targeted metabolomics data preprocessing based on liquid chromatography-mass spectrometry.Among various peak-picking algorithms,centWave algorithm based on continuous wavelet transform has been widely adopted in high-resolution mass spectrometry.In this study,the optimization effects of two centWave parameter optimization algorithms,IPO and centWave Sweep,were compared.Two datasets including metabolite standards and urine were used for comprehensive evaluation of these two algorithms with respect to three indicators:good peak shape ratio,reliable peak ratio,and repeatable peak ratio.To quickly and accurately distinguish good and bad peak shapes,three ensemble learning algorithms,random forest,adaboost and gradient boosting decision tree,were selected to establish a model for distinguishing chromatographic peak shape.Finally,according to the accuracy and F1 score,random forest was selected to establish a discrimination model(Accuracy 93.5%,F1 score 0.938).Compared with recommended parameters of XCMS Online,the proportion of reliable peaks and the proportion of repeatable peaks of two parameter optimization algorithms were improved in different datasets.However,when it came to the proportion of peaks with good shape,there was no significant difference between the optimized parameters and the parameters recommended by XCMS Online in different datasets.Furthermore,all three parameter settings resulted in relatively low proportions of peaks with good shape.The results indicated that the current parameter optimization algorithm was unable to improve the proportion of peaks with good shape.An excessive number of bad shape peaks could not only decrease the statistical power of analysis but also generate false positive results.Therefore,it was critical to perform additional confirmation of potential markers in the practical application of metabolomics researches.
7.Synergistic aspirin derivatives treat hypoxic injury of coronary heart diseases
Wen ZHOU ; Ping JIANG ; Wan-xiang YANG ; Shao-hua GOU
Acta Pharmaceutica Sinica 2024;59(10):2800-2808
This study focuses on the microenvironment acidification caused by metabolic abnormalities and ion balance disturbances during cardiac ischemia, which can significantly trigger drug resistance and thus limit the therapeutic effect of coronary heart disease. To address this issue, we delve into the potential role of carbonic anhydrase inhibitors in enhancing drug efficacy through pH regulation. First, we evaluated the potential of the carbonic anhydrase inhibitor acetazolamide, in combination with aspirin, in alleviating myocardial hypoxic injury in a cellular model. Through high-throughput screening techniques, we systematically analyzed the synergistic effect of this drug combination and determined the optimal ratio. Next, we modified the structure of aspirin using acetazolamide as the structural basis, aiming to create novel derivatives with stronger myocardial protective activity. Using
8.Influencing factors for intestinal colonization and secondary infection of CRKP in neonates
Yu ZHAI ; Qing-Rong LI ; Jiang LI ; Wei HE ; Ping-An HE ; Mei LYU ; Xu YANG
Chinese Journal of Infection Control 2024;23(2):133-141
Objective To analyze the influencing factors for intestinal colonization and secondary infection of car-bapenem-resistant Klebsiella pneumoniae(CRKP)in neonates,and provide a basis for formulating prevention and control strategies for CRKP infection.Methods Neonates who were admitted to the neonatal ward of a hospital from January 2021 to October 2022 were selected as the study subjects,and the first screening of CRKP was con-ducted within 48 hours after admission.In addition,active anal swab screening for carbapenem-resistant Ente-robacterales(CRE)was performed weekly during hospitalization,and the infection status of CRKP strains was mo-nitored.Clinical data of neonates in the colonization group,non-colonization group,and infection group were ana-lyzed.Intestinal colonized strains and the non-repetitive CRKP strains isolated from clinical specimens of neonates with secondary infection after colonization were performed carbapenemase gene detection,multilocus sequence ty-ping(MLST)and pulsed-field gel electrophoresis(PFGE)analysis.Results A total of 1 438 neonates were active-ly screened for CRE,174 were CRKP positive,CRKP colonization rate was 12.1%.Among 174 neonates,35 were with secondary infection,with the incidence of 20.1%.The independent risk factors for neonatal CRKP intestinal colonization were cesarean section(OR=2.050,95%CI:1.200-3.504,P=0.009),use of cephalosporins(OR=1.889,95%CI:1.086-3.288,P=0.024),nasogastric tube feeding(OR=2.317,95%CI:1.155-4.647,P=0.018).Protective factors were breast-feeding(OR=0.506,95%CI:0.284-0.901,P=0.021),oral probiotics(OR=0.307,95%CI:0.147-0.643,P=0.002),and enema(OR=0.334,95%CI:0.171-0.656,P=0.001).Independent risk factors for secondary infection after intestinal colonization of neonatal CRKP were carbapenem anti-biotic use(OR=19.869,95%CI:1.778-222.029,P=0.015)and prolonged hospital stay(OR=1.118,95%CI:1.082-1.157,P<0.001).The detection results of drug resistance genes showed that carbapenemase-producing genes of CRKP strains were all blaKPC-2,all belonged to type ST11.Homologous analysis showed that intestinal CRKP colonization was highly homologous with the secondary infection strains after colonization.Conclusion CRKP intestinal colonization during neonatal hospitalization may increase the risk of CRKP infection.Risk and pro-tective factors of neonatal intestinal colonization and secondary infections after colonization should be paid attention,and corresponding preventive and control measures should be taken,so as to reduce the occurrence and transmission CRKP healthcare-associated infection.
9.An unprecedented pair of Z /E isomeric pyridinium compound from the aqueous extract of Aspongopus chinensis Dallas
Chun-jiang WANG ; Can-xi YANG ; Ling-xi REN ; Shao LIU ; Yue-ping JIANG
Acta Pharmaceutica Sinica 2024;59(1):166-169
A novel pair of
10.Association of abnormal early postoperative blood glucose concentration with short-term prognosis and establishment of a prediction model in patients undergoing non-small cell lung cancer surgery
Gang ZHONG ; Nian-Ping MO ; Zheng-Yao YANG ; Tao JIANG ; Dong-Fang TANG ; Xiao-Yong SHEN
Fudan University Journal of Medical Sciences 2024;51(6):949-956
Objective To investigate the effect of early postoperative abnormal blood glucose on the short-term prognosis of non-small cell lung cancer(NSCLC),and to analyze the clinical characteristics and risk factors related to poor early prognosis.Methods A total of 897 patients with NSCLC who underwent thoracoscopic surgery in Huadong Hospital,Fudan University from Jan 2020 to Aug 2021 were divided into hyperglycemia(HG)group(>7.8 mmol/L)and normal blood glucose(NG)group(≤7.8 mmol/L and≥3.9 mmol/L)according to the early postoperative blood glucose values.Additionally,the patients were divided into higher blood glucose fluctuation group(≥4 mmol/L)and the group with lower blood glucose fluctuation(<4 mmol/L)basing on the fasting blood glucose.Using Logistic regression models,column line charts,ROC curves and other methods,we aimed to clarify the impact of early postoperative blood glucose abnormalities on short-term prognosis,explore clinical characteristics associated with poor short-term outcomes,identify other high-risk factors,and establish relevant risk prediction models.Results Compared with the NG group,the incidence of postoperative pneumonia,thromboembolism,ICU admission rate,total length of hospital stay and hospital cost were significantly higher in the HG group(P<0.05).Higher blood glucose fluctuation group had a greater risk of ICU admission(P=0.003).Logistic regression analysis showed that age,preoperative fasting glucose,white blood cell count and cytokeratin 19 fragment antigen 21-1(CYFRA21-1)were risk factors for postoperative hyperglycemia(P<0.05).Contrary to the effect of BMI,diabetes,male patients,higher blood glucose fluctuation,white blood cell count and age were the risk factors for postoperative adverse events(P<0.05).The AUC of the column line chart model was 0.661(95%CI:0.624-0.698),indicating good discriminative ability for predicting poor short-term prognosis postoperatively.Calibration curves also demonstrated good consistency between predicted and actual probabilities.Conclusion Early postoperative blood glucose fluctuations independently impact the short-term prognosis of thoracoscopic NSCLC patients.Blood glucose combined with gender,BMI,white blood cell count,age and diabetes history can serve as predictive factors for poor short-term prognosis postoperatively.Additionally,a column line chart constructed based on these factors may aid clinicians in early intervention for NSCLC patients with indications.

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