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.Distribution characteristics, source apportionment, and health risk assessment of metals and metalloids in PM2.5 in a southern city in 2019
Yaxin QU ; Suli HUANG ; Chao WANG ; Jie JIANG ; Jiajia JI ; Daokui FANG ; Shaohua XIE ; Xiaoheng LI ; Ning LIU
Journal of Environmental and Occupational Medicine 2025;42(2):196-204
Background Metals and metalloids in fine particulate matter (PM2.5) may cause damage to the respiratory and circulatory systems of the human body, and long-term exposure is prone to causing chronic poisoning, cancer, and other adverse effects. Objective To assess the distribution characteristics of metals and metalloids in outdoor PM2.5 in a southern city of China, conduct source apportionment, and evaluate the associated health risks, thereby providing theoretical support for further pollution control measures. Methods PM2.5 samples were collected in districts A, B, and C of a southern China city, and the concentrations of 17 metals and metalloids were detected by inductively coupled plasma-mass spectrometry (ICP-MS). Pollution sources were assessed through enrichment factor and principal components analysis, and the main pollution sources were quantified using absolute principal component scores-multivariate linear regression (APCS-MLR). Health risks were evaluated based on the Technical guide for environmental health risk assessment of chemical exposure (WS/T777—2021). Results The ambient air PM2.5 concentrations in the city were higher in winter and spring, and lower in summer and autumn. The annual average concentrations of ambient PM2.5 in districts A, B, and C were 36.7, 31.9, and 24.4 μg·m−3, respectively. The ambient PM2.5 levels in districts B and C were below the second-grade limit set by the Ambient air quality standards (GB 3095—2012). The enrichment factors of cadmium (Cd), aluminum (Al), and antimony (Sb) were greater than 10, those of copper (Cu), lead (Pb), arsenic (As), nickel (Ni), mercury (Hg), and molybdenum (Mo) fell between 1 and 10, and those of manganese (Mn), vanadium (V), chromium (Cr), cobalt (Co), barium (Ba), beryllium (Be), and uranium (U) were below or equal to 1. The comprehensive evaluation of source analysis showed that the main pollution sources in districts A and C and the whole city were coal-burning. In district B, the main pollution source was also coal combustion, followed by industrial process sources and dust sources. The carcinogenic risks of As and Cr were between 1×10−6 and 1×10−4. However, the hazard quotients for 15 metals and metalloids in terms of non-carcinogenic risk were below 1. Conclusion Cr and As in the atmospheric PM2.5 of the city present a certain risk of cancer and should be paid attention to. In addition, preventive control measures should be taken against relevant pollution sources such as industrial emission, dust, and coal burning.
3.Analysis of characteristics of adverse drug reactions in a hospital from 2021 to 2023
Yan WANG ; Ming FANG ; Hongwei SONG ; Chao ZHONG ; Feng XU ; Ting ZHOU
Journal of Pharmaceutical Practice and Service 2025;43(4):200-204
Objective To analyze the characteristics of adverse drug reactions (ADR) reported in Sixth People’s Hospital South Campus, Shanghai Jiaotong University from 2021 to 2023, to provide reference for promoting rational clinical drug use. Methods ADR data reported in our hospital were collected retrospectively, including patients’ basic information, drugs causing adverse reactions, types of adverse reactions and outcomes. Descriptive analysis methods were used to summarize and analyze the data. Results A total of 979 cases of ADR were reported in our hospital from 2021 to 2023. The highest proportion of patients with ADR occurred in the age range of 31 to 50, and more male patients (63.5%). The top five drugs involved with adverse reactions were antibiotics (48.8%), Chinese medicine injections(19.2%), vitamins(7.5%), Chinese traditional medicine(7.2%), equine tetanus immunoglobulin(6.3%). Among antibiotics, cefuroxime, ceftazidime and cefotiam were the majority. The organs/systems involved in all ADR were mainly skin and accessories damage (55.4%). The clinical manifestations were rash, itching, and maculopapular rash. Conclusion From 2021 to 2023, the most common drugs causing adverse drug reactions in our hospital were mainly antibacterial drugs, and the rational clinical use of antibacterial drugs still needs to be concerned.
4.Molecular Mechanisms of RNA Modification Interactions and Their Roles in Cancer Diagnosis and Treatment
Jia-Wen FANG ; Chao ZHE ; Ling-Ting XU ; Lin-Hai LI ; Bin XIAO
Progress in Biochemistry and Biophysics 2025;52(9):2252-2266
RNA modifications constitute a crucial class of post-transcriptional chemical alterations that profoundly influence RNA stability and translational efficiency, thereby shaping cellular protein expression profiles. These diverse chemical marks are ubiquitously involved in key biological processes, including cell proliferation, differentiation, apoptosis, and metastatic potential, and they exert precise regulatory control over these functions. A major advance in the field is the recognition that RNA modifications do not act in isolation. Instead, they participate in complex, dynamic interactions—through synergistic enhancement, antagonism, competitive binding, and functional crosstalk—forming what is now termed the “RNA modification interactome” or “RNA modification interaction network.” The formation and functional operation of this interactome rely on a multilayered regulatory framework orchestrated by RNA-modifying enzymes—commonly referred to as “writers,” “erasers,” and “readers.” These enzymes exhibit hierarchical organization within signaling cascades, often functioning in upstream-downstream sequences and converging at critical regulatory nodes. Their integration is further mediated through shared regulatory elements or the assembly into multi-enzyme complexes. This intricate enzymatic network directly governs and shapes the interdependent relationships among various RNA modifications. This review systematically elucidates the molecular mechanisms underlying both direct and indirect interactions between RNA modifications. Building upon this foundation, we introduce novel quantitative assessment frameworks and predictive disease models designed to leverage these interaction patterns. Importantly, studies across multiple disease contexts have identified core downstream signaling axes driven by specific constellations of interacting RNA modifications. These findings not only deepen our understanding of how RNA modification crosstalk contributes to disease initiation and progression, but also highlight its translational potential. This potential is exemplified by the discovery of diagnostic biomarkers based on interaction signatures and the development of therapeutic strategies targeting pathogenic modification networks. Together, these insights provide a conceptual framework for understanding the dynamic and multidimensional regulatory roles of RNA modifications in cellular systems. In conclusion, the emerging concept of RNA modification crosstalk reveals the extraordinary complexity of post-transcriptional regulation and opens new research avenues. It offers critical insights into the central question of how RNA-modifying enzymes achieve substrate specificity—determining which nucleotides within specific RNA transcripts are selectively modified during defined developmental or pathological stages. Decoding these specificity determinants, shaped in large part by the modification interactome, is essential for fully understanding the biological and pathological significance of the epitranscriptome.
6. Effects of metabolites of eicosapentaenoic acid on promoting transdifferentiation of pancreatic OL cells into pancreatic β cells
Chao-Feng XING ; Min-Yi TANG ; Qi-Hua XU ; Shuai WANG ; Zong-Meng ZHANG ; Zi-Jian ZHAO ; Yun-Pin MU ; Fang-Hong LI
Chinese Pharmacological Bulletin 2024;40(1):31-38
Aim To investigate the role of metabolites of eicosapentaenoic acid (EPA) in promoting the transdifferentiation of pancreatic α cells to β cells. Methods Male C57BL/6J mice were injected intraperitoneally with 60 mg/kg streptozocin (STZ) for five consecutive days to establish a type 1 diabetes (T1DM) mouse model. After two weeks, they were randomly divided into model groups and 97% EPA diet intervention group, 75% fish oil (50% EPA +25% DHA) diet intervention group, and random blood glucose was detected every week; after the model expired, the regeneration of pancreatic β cells in mouse pancreas was observed by immunofluorescence staining. The islets of mice (obtained by crossing GCG
7.Biosensor analysis technology and its research progress in drug development of Alzheimer's disease
Shu-qi SHEN ; Jia-hao FANG ; Hui WANG ; Liang CHAO ; Piao-xue YOU ; Zhan-ying HONG
Acta Pharmaceutica Sinica 2024;59(3):554-564
Biosensor analysis technology is a kind of technology with high specificity that can convert biological reactions into optical and electrical signals. In the development of drugs for Alzheimer's disease (AD), according to different disease hypotheses and targets, this technology plays an important role in confirming targets and screening active compounds. This paper briefly describes the pathogenesis of AD and the current situation of therapeutic drugs, introduces three biosensor analysis techniques commonly used in the discovery of AD drugs, such as surface plasmon resonance (SPR), biolayer interferometry (BLI) and fluorescence analysis technology, explains its basic principle and application progress, and summarizes their advantages and limitations respectively.
8.Risk factors of contrast medium extravasation:a systematic review and Meta-analysis
Fang WANG ; Bao LIU ; Zhijun AN ; Yingxin WANG ; Chao WANG ; Sisi HUANG
Journal of Practical Radiology 2024;40(1):127-130
Objective To systematically evaluate the risk factors of contrast medium extravasation(CME).Methods The rele-vant literature on the risk factors of CME were searched from CNKI,WanFang,VIP,CBM,Cochrane Library,ProQuest,PubMed,Ovid,Web of Science,and Embase via computer.Meta-analysis was performed via RevMan5.4.Results A total of 10 articles were included,involving 17 risk factors.The results of the Meta-analysis showed that contrast medium(CM)concentration[odds ratio(OR)=2.02],age(OR=2.22),combined tumor(OR=2.87),puncture site(OR=2.73),nursing experience(OR=2.78),osmotic pressure(OR=3.29),combined circulatory disease(OR=4.56)were the statistically significant factors.Conclusion The independ-ent risk factors of CME include CM concentration,age,combined tumor,puncture site,nursing experience,osmotic pressure,and combined circulatory disease.
9.Network meta-analysis of the modeling effects of different factors on rabbit models of steroid-induced osteonecrosis of femoral head
Zhixing HU ; Qun LI ; Chao YANG ; Xiaoxiao WANG ; Luochangting FANG ; Wuqiong HOU ; Na LIN ; Weiheng CHEN ; Chunfang LIU ; Ya LIN
Chinese Journal of Tissue Engineering Research 2024;28(6):976-984
OBJECTIVE:The rabbit model of steroid-induced osteonecrosis of femoral head is the most commonly used animal model of femoral head necrosis.The pathological changes of the femoral head are close to clinical practice,however,the conditions,methods and evaluation standards of animal models reported in and outside China are not uniform,which leads to the low scientific value of animal models and is difficult to popularize.This study aimed to clarify the influence of different mold-making conditions on the establishment of steroid-induced osteonecrosis of femoral head rabbit model and analyze the appropriate conditions for the successful model establishment. METHODS:We searched the CNKI,WanFang,VIP,CBM,WoS,PubMed and EMbsae databases for the literature on the modeling of steroid-induced osteonecrosis of femoral head rabbits up to April 1,2022,completed the screening of the literature according to the inclusion and exclusion criteria and literature quality evaluation,and extracted the outcome index data in the literature.RevMan Stata and ADDIS statistical software were used to conduct a meta-analysis of the included data. RESULTS:(1)A total of 82 articles with 1 366 rabbits were included in the study.The steroid-induced osteonecrosis of femoral head modeling methods were divided into three types:steroid-alone method,steroid combined lipopolysaccharide method and steroid combined serum method.Among these,33 articles used steroid-alone method;20 articles used steroid combined lipopolysaccharide method;29 articles used steroid combined serum method.(2)Meta-analysis results showed that the three modeling methods significantly increased the rate of empty bone lacunae in the femoral head of steroid-induced osteonecrosis of femoral head rabbits(P<0.001),and significantly decreased the ratio of the trabecular bone area in the femoral head of steroid-induced osteonecrosis of femoral head rabbits(P<0.001).The order of empty bone lacunae rate of each modeling method was:steroid combined with lipopolysaccharide method>steroid-alone method>steroid combined with serum method>normal group,and the order of trabecular bone area rate of each modeling method was:normal group>steroid combined with serum method>steroid-alone method>steroid combined with lipopolysaccharide method.(3)The results of subgroup analysis suggested that the rate of empty bone lacunae in the rabbit model induced by steroid alone might be related to the rabbit variety and the type of steroid used for modeling(difference between groups P<0.05),in which the combined effect amount of New Zealand white rabbits was higher than that of Chinese white rabbits(P<0.05)and Japanese white rabbits,and the combined effect amount of dexamethasone was higher than that of other steroids.The rate of empty bone lacunae induced by steroid combined with lipopolysaccharide was related to the administration mode of lipopolysaccharide and the type of steroid(P<0.05),among which the combined effect of methylprednisolone sodium succinate was significantly higher than that of other steroids(P<0.05),and the combined effect of prednisolone was significantly lower than that of other steroids(P<0.05).The combined effect of lipopolysaccharide 100 μg/kg×twice was significantly lower than 10 μg/kg×twice and 50 μg/kg×twice(P<0.05).The rate of empty bone lacunae in the model induced by steroid combined with serum was related to serum dose and steroid type(P<0.05),among which the combined effect amount of dexamethasone sodium phosphate was significantly higher than other steroid types(P<0.05),and the combined effect amount of dexamethasone was significantly lower than other steroid types(P<0.05);the combined effect amount of serum"10 mL/kg+6 mL/kg"combined dose was lower than other serum doses(P<0.05). CONCLUSION:(1)With the rate of empty bone lacunae and the ratio of trabecular bone area as the judgment standard for the successful establishment of the model,the three modeling methods can successfully construct the rabbit steroid-induced osteonecrosis of femoral head model,of which the steroid combined with lipopolysaccharide method is the best.(2)New Zealand white rabbits and dexamethasone are recommended when selecting the steroid-alone method.Methylprednisolone sodium succinate and low-dose lipopolysaccharide are recommended when selecting the steroid combined with lipopolysaccharide method.Dexamethasone sodium phosphate is recommended when selecting the steroid combined with serum modeling method.
10.Mechanism by which lycium barbarum polysaccharides inhibit keratinocyte apoptosis in burn wounds via autophagy
Yongzhao ZHU ; Chao FANG ; Fang ZHAO ; Qing ZHANG ; Dan ZHAO
Chinese Journal of Tissue Engineering Research 2024;28(23):3686-3691
BACKGROUND:Lycium barbarum polysaccharide has many biological activities and has been found to have potential effects on promoting wound healing. OBJECTIVE:To investigate the mechanism of lycium barbarum polysaccharide in tumor necrosis factor-α-mediated keratinocyte apoptosis and its effect on the healing of burn wounds. METHODS:(1)In vitro experiment:Keratinocytes were divided into four groups:cells were cultured in the α-MEM medium(complete medium)containing 15%fetal bovine serum and 1%glutamine in normal group,cultured in the complete medium containing lycium barbarum polysaccharide in positive control group,cultured in the complete medium containing tumor necrosis factor-α in model group,and cultured in the complete medium containing lycium barbarum polysaccharide and tumor necrosis factor-α in experimental group.After 24 hours of culture,cell proliferation was detected using cell counting kit-8 assay;Cleaved caspase-8,TNF R1,FADD,and LC3 were detected using western blot.Then an autophagy inhibitor group(the complete medium containing 3-methyladenine)and an autophagy inhibitor+lycium barbarum polysaccharide group(the complete medium containing lycium barbarum polysaccharide,tumor necrosis factor-α,and 3-methyladenine)were set up.After 24 hours of culture,keratinocyte apoptosis was detected by flow cytometry.(2)In vivo experiment:Six Sprague-Dawley rats were randomly divided into a control group and an experimental group,with three rats in each group.Four deep Ⅱ degree burn wounds with a diameter of 2 cm were made on the back of each rat.At 24 hours after modeling,mice in the control and experimental groups were coated with normal saline and lycium barbarum polysaccharide solution,respectively,once a day.Wound healing was observed regularly after treatment.Samples were taken 28 days after treatment and the pathologic pattern of the wound was observed. RESULTS AND CONCLUSION:(1)In vitro experiment:Addition of lycium barbarum polysaccharide alone did not affect cell proliferation and apoptosis and the expression of apoptotic and autophagic proteins in keratinocytes.After the addition of tumor necrosis factor α,the proliferation of keratinocytes was inhibited,the apoptotic rate increased,and the expression of apoptotic and autophagic proteins was elevated,while lycium barbarum polysaccharide could antagonize the above effects of tumor necrosis factor-α.Lycium barbarum polysaccharide combined with autophagy inhibitors further reduced the apoptotic rate of keratinocytes.(2)In vivo experiment:The wound healing rate of rats in the experimental group was higher than that of the control group at 12,16,20,24,and 28 days after treatment(P<0.05,P<0.01).Hematoxylin-eosin staining results at 28 days after treatment showed an intact and well-defined epidermis of the wound in the experimental group compared with the control group.To conclude,lycium barbarum polysaccharide protects the integrity of skin epidermal tissue and promotes wound healing by inhibiting autophagy and apoptosis of keratinocytes.

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