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.

As a complex autoimmune disease， rheumatoid arthritis （RA） involves immune microenvironment dysregulation resulting from excessive activation of pyroptosis， which is a crucial factor in disease progression. Based on the theory of ying-wei in traditional Chinese medicine， "ying decline and wei attack" is considered the fundamental pathogenesis of RA. Pyroptosis serves as a microscopic manifestation of this concept， suggesting a potential correlation between "ying decline and wei attack" and pyroptosis nd immune microenvironment dysregulation in RA. Accordingly， treatment principles based on this theory are proposed： in the early stage of the disease， boosting wei to consolidate the exterior， and regulating ying to dispel pathogens； in the middle and late stages， harmonizing ying to remove stagnation， and nourishing its transformational source.

Brain’s neural activities encompass both periodic rhythmic oscillations and aperiodic neural fluctuations. Rhythmic oscillations manifest as spectral peaks of neural signals, directly reflecting the synchronized activities of neural populations and closely tied to cognitive and behavioral states. In contrast, aperiodic fluctuations exhibit a power-law decaying spectral trend, revealing the multiscale dynamics of brain neural activity. In recent years, researchers have made notable progress in studying brain aperiodic dynamics. These studies demonstrate that aperiodic activity holds significant physiological relevance, correlating with various physiological states such as external stimuli, drug induction, sleep states, and aging. Aperiodic activity serves as a reflection of the brain’s sensory capacity, consciousness level, and cognitive ability. In clinical research, the aperiodic exponent has emerged as a significant potential biomarker, capable of reflecting the progression and trends of brain diseases while being intricately intertwined with the excitation-inhibition balance of neural system. The physiological mechanisms underlying aperiodic dynamics span multiple neural scales, with activities at the levels of individual neurons, neuronal ensembles, and neural networks collectively influencing the frequency, oscillatory patterns, and spatiotemporal characteristics of aperiodic signals. Aperiodic dynamics currently boasts broad application prospects. It not only provides a novel perspective for investigating brain neural dynamics but also holds immense potential as a neural marker in neuromodulation or brain-computer interface technologies. This paper summarizes methods for extracting characteristic parameters of aperiodic activity, analyzes its physiological relevance and potential as a biomarker in brain diseases, summarizes its physiological mechanisms, and based on these findings, elaborates on the research prospects of aperiodic dynamics.

Shengma Gegentang is one of the classic formulas in the Catalogue of Ancient Classic Prescriptions （Second Batch）. This study reviewed ancient and modern literature and used literature tracing and bibliometric methods to analyze the historical evolution， efficacy， indications， dosage decoctions， and modern clinical disease spectrum of Shengma Gegentang. The results indicated that the earliest record of Shengma Gegentang can be found in the Taiping Huimin Heji Jufang of the Song dynasty， but its origin can be traced back to the Shaoyao Siwu Jiejitang in the Beiji Qianjin Yaofang of the Tang dynasty. The composition dosage of Shengma Gegentang is 413 g of Cimicifugae Rhizoma， 619.5 g of Puerariae Lobatae Radix， 413 g of Paeoniae Radix Alba， and 413 g of Glycyrrhizae Radix et Rhizoma， which are ground into coarse powder. Each dose is 12.39 g， and the amount of water added is 300 mL. 100 mL of solution is decocted and taken at the right time. The four drugs in the formula play the role of relieving exterior syndrome， penetrating pathogenic factors， and detoxicating together. Its indications are widely involved in internal medicine， pediatrics， surgery， ophthalmology and otorhinolaryngology， obstetrics and gynecology， sexually transmitted diseases， and other diseases， such as measles， sores， acne， spots， surgical gangrene， red eyes， toothache， chancre， and fetal poison. The epidemic diseases treated by Shengma Gegentang are complicated， including rash， pox， macula， numbness， summer diarrhea， dysentery， sha disease， febrile symptoms， spring warmth， winter warmth， and cold pestilence. At the same time， it is a plague prevention formula. Although Shengma Gegentang has a wide range of indications， it cannot be separated from the pathogenic mechanism of evil Qi blocking the muscle surface and heat in the lungs and stomach. The modern clinical disease spectrum of Shengma Gegentang involves the ophthalmology and otorhinolaryngology system， nervous system， pediatric-related diseases and syndromes， skin system， hepatobiliary system， and digestive system. It plays a key role in the treatment of epidemic diseases such as measles， chronic hepatitis B， dysentery， and tetanus.

Thyroid-associated ophthalmopathy(TAO)is a rare organ-specific autoimmune disease with an unclear pathogenesis. At present, the treatment still relies mainly on glucocorticoids and traditional immunosuppressants. However, some patients respond poorly to these drugs and experience treatment-related adverse reactions, highlighting the urgent need for novel drugs for TAO treatment. In recent years, with the deepening of research on the pathogenesis of TAO, a multitude of biologics targeting specific targets have emerged. Among them, teprotumumab, which targets the insulin-like growth factor-I receptor(IGF-IR), has been approved by the Food and Drug Administration for the treatment of TAO, and several other biologics are currently in clinical trials. This review provides the latest reference for the clinical prevention, treatment, and research of TAO by summarizing the current clinical research status of biologics targeting IGF-IR, neonatal Fc receptor(FcRn), thyroid-stimulating hormone receptor(TSHR), B cells, cytokines, and other biological agents in TAO and analyzing their impact on clinical treatment and future research trends.

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.

BACKGROUND:Bibliometrics and visual analyses based on thematic literature are particularly important for understanding the foundation and frontiers of postmenopausal osteoporosis research. OBJECTIVE:To perform bibliometric,citation,and visualization analyses of highly cited SCI papers in postmenopausal osteoporosis research over the last 20 years. METHODS:The top 100 highly cited papers on postmenopausal osteoporosis published between 2003 and 2022 included in SCI-EXPANDED catalog of the Web of Science database were obtained for bibliometric measure and visual analysis using CiteSpace software. RESULTS AND CONCLUSION:The top 100 highly cited papers have a total of 67 377 citations in the Web of Science Core Collection,with an annual average of 49.17 citations per paper.Postmenopausal osteoporosis research primarily involves medical,engineering,biological,and multidisciplinary fields.The subcategories are dominated by endocrinology and metabolism,and medicine:internal medicine.Stable and close cooperative network relationships have been formed globally.United States,University of California System,Cummings,and Steven R are the country,research institution,and author,respectively,with the most highly-cited publications.The frontiers of postmenopausal osteoporosis research mainly include calcium and vitamin D supplementation and fracture risk,clinical studies of bisphosphonates in the treatment of postmenopausal osteoporosis,atypical femur fracture,clinical studies of new drugs and sequential treatment of postmenopausal osteoporosis,predictors of fracture risk,mid-and long-term follow-up of osteoporotic vertebral compression fractures,genetic polymorphisms and hereditary factors,formulation and updating of clinical practice guidelines for postmenopausal osteoporosis.Large cohort studies,high-quality randomized controlled trials,systematic reviews,meta-analyses,and clinical practice guidelines are the great engines that drive the development of clinical research in postmenopausal osteoporosis.We should make efforts in the above areas to improve China's international influence in the field of osteoporosis.

A novel pair of Z/E isomeric compounds with unprecedented carbon skeleton were isolated from an aqueous extract of Aspongopus chinensis Dallas by macroporous resin, silica gel, and semi-preparative high performance liquid chromatography (HPLC). Their structures were identified by nuclear magnetic resonance (NMR), Infrared spectroscopy (IR), Mass spectroscopy (MS) and other spectroscopic methods as (Z)-3-(but-1″-en-1″-yl)-1-(2ʹ-hydroxyethyl)-4-propylpyridin-1-ium, namely aspongopyridine A, and (E)-3-(but-1″-en-1″-yl)-1-(2ʹ-hydroxyethyl)-4-propylpyridin-1-ium, namely aspongopyridine B, respectively. Besides, the anti-inflammatory, anti-tumor, acetylcholinesterase inhibition and butyrylcholinesterase inhibition activities of the compounds 1 and 2 were evaluated. The results showed that compounds 1 and 2 have no anti-inflammatory, anti-tumor, and butyrylcholinesterase inhibition activities instead of weak acetylcholinesterase inhibition activity.

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.

Objective:To analyze the prenatal diagnosis results and pregnancy outcomes of fetal growth re-striction(FGR)with varying severity and provide guidance for clinical counseling and management of FGR.Meth-ods:A total of 141 pregnant women with FGR treated at Sichuan Maternal and Child Health Hospital from January 2020 to June 2021 were selected for the retrospective study.They were divided into the mild FGR group(3th≤EFW＜10th,84 cases)and the severe FGR group(EFW＜3th,57 cases)based on different estimated fetal weight(EFW).All pregnant women underwent amniocentesis for prenatal diagnosis.The chromosome results and preg-nancy outcomes of the two groups were statistically analyzed.Results:19 cases(13.5%)of 141 fetuses with FGR were found with chromosome abnormalities.The rate of chromosomal abnormalities was 19.3%(11/57)in the severe FGR group,which was higher than the 9.5%(8/84)in the mild FGR group,but the difference was not statistically significant(P=0.095).110 cases underwent both karyotype analysis and chromosome microarray a-nalysis(CMA).The detection rate of chromosomal abnormalities in CMA was 13.6%,which was significantly higher than 4.5%in karyotype analysis(P=0.006).Among chromosomal abnormalities,chromosomal aneu-ploidy accounted for 21.05%(4/19),including 1 case of trisomy 18 and 2 cases of 47,XXY.Two cases with dele-tion in the 4p16.3 regions were found in the severe FGR group,and these deletions are associated with Wolf-Hir-schhorn syndrome.The termination rate of pregnancy and admission to the neonatal intensive care unit in the se-vere FGR group were higher than those in the mild FGR group.In contrast,the full-term delivery rate and newborn birth weight were lower in the severe FGR group compared to the mild FGR group,showing statistically significant differences(P＜0.05).There was no statistically significant difference in the rates of stillbirth and preterm birth be-tween the two groups(P＞0.05).Conclusions:The detection rate of chromosomal abnormalities using CMA in fetuses with FGR was higher than traditional karyotyping.Therefore,it is recommended to combine karyotyping with CMA for invasive prenatal diagnosis of FGR fetuses.The risk of adverse pregnancy outcomes increases with severe FGR,and monitoring should be intensified during pregnancy and the perinatal period to reduce adverse pregnancy outcomes.