[摘 要] 甲状腺癌是内分泌系统中最为常见的恶性肿瘤，近年来其发病率呈现出显著的上升趋势。乙酰化修饰作为一种重要的蛋白质翻译后修饰，参与调控各个类型甲状腺癌相关基因的转录表达、细胞周期进程及侵袭能力。组蛋白去乙酰化酶（HDAC）抑制剂在甲状腺癌治疗中显示出潜在的应用前景。本文通过调研近年来相关文献，系统回顾了乙酰化修饰在参与甲状腺癌发生发展过程中的生物学功能及其调控机制，进一步探讨HDAC抑制剂在临床治疗中的应用前景，为甲状腺癌的靶向治疗提供坚实的理论依据和提出可行的治疗策略。

Epilepsy is a chronic neurological disease caused by abnormal synchronous discharge of the brain, which is characterized by recurrent and transient neurological abnormalities, mainly manifested as loss of consciousness and limb convulsions, and can occur in people of all ages. At present, anti-epileptic drugs (AEDs) are still the main means of treatment, but their efficacy is limited by the problem of drug resistance, and long-term use can cause serious side effects, such as cognitive dysfunction and vital organ damage. Although surgical resection of epileptic lesions has achieved certain results in some patients, the high cost and potential risk of neurological damage limit its scope of application. Therefore, the development of safe, accurate and personalized non-invasive treatment strategies has become one of the key directions of epilepsy research. In recent years, photobiomodulation (PBM) has gained significant attention as a promising non-invasive therapeutic approach. PBM uses light of specific wavelengths to penetrate tissues and interact with photosensitive molecules within cells, thereby modulating cellular metabolic processes. Research has shown that PBM can enhance mitochondrial function, promote ATP production, improve meningeal lymphatic drainage, reduce neuroinflammation, and stimulate the growth of neurons and synapses. These biological effects suggest that PBM not only holds the potential to reduce the frequency of seizures but also to improve the metabolic state and network function of neurons, providing a novel therapeutic avenue for epilepsy treatment. Compared to traditional treatment methods, PBM is non-invasive and avoids the risks associated with surgical interventions. Its low risk of significant side effects makes it particularly suitable for patients with drug-resistant epilepsy, offering new therapeutic options for those who have not responded to conventional treatments. Furthermore, PBM’s multi-target mechanism enables it to address a variety of complex etiologies of epilepsy, demonstrating its potential in precision medicine. In contrast to therapies targeting a single pathological mechanism, PBM’s multifaceted approach makes it highly adaptable to different types of epilepsy, positioning it as a promising supplementary or alternative treatment. Although animal studies and preliminary clinical trials have shown positive outcomes with PBM, its clinical application remains in the exploratory phase. Future research should aim to elucidate the precise mechanisms of PBM, optimize light parameters, such as wavelength, dose, and frequency, and investigate potential synergistic effects with other therapeutic modalities. These efforts will be crucial for enhancing the therapeutic efficacy of PBM and ensuring its safety and consistency in clinical settings. This review summarizes the types of epilepsy, diagnostic biomarkers, the advantages of PBM, and its mechanisms and potential applications in epilepsy treatment. The unique value of PBM lies not only in its multi-target therapeutic effects but also in its adaptability to the diverse etiologies of epilepsy. The combination of PBM with traditional treatments, such as pharmacotherapy and neuroregulatory techniques, holds promise for developing a more comprehensive and multidimensional treatment strategy, ultimately alleviating the treatment burden on patients. PBM has also shown beneficial effects on neural network plasticity in various neurodegenerative diseases. The dynamic remodeling of neural networks plays a critical role in the pathogenesis and treatment of epilepsy, and PBM’s multi-target mechanism may promote brain function recovery by facilitating neural network remodeling. In this context, optimizing optical parameters remains a key area of research. By adjusting parameters such as wavelength, dose, and frequency, researchers aim to further enhance the therapeutic effects of PBM while maintaining its safety and stability. Looking forward, interdisciplinary collaboration, particularly in the fields of neuroscience, optical engineering, and clinical medicine, will drive the development of PBM technology and facilitate its transition from laboratory research to clinical application. With the advancement of portable devices, PBM is expected to provide safer and more effective treatments for epilepsy patients and make a significant contribution to personalized medicine, positioning it as a critical component of precision therapeutic strategies.

Juvenile idiopathic arthritis (JIA) is the most common condition of chronic rheumatic disease in children. JIA is an autoimmune or autoinflammatory disease, with unclear mechanism and limited treatment efficacy. Recent studies have found a number of alterations in gut microbiota and its metabolites in children with JIA, which are related to the development and progression of JIA. This review focuses on the influence of the gut microbiota and its metabolites on immune function and the intestinal mucosal barrier and discuss the key role of the gut-joint axis in the pathogenesis of JIA and emerging treatment methods based on gut microbiota and its metabolites. This review could help elucidate the pathogenesis of JIA and identify the potential therapeutic targets for the prevention and treatment of JIA.
Humans ; Arthritis, Juvenile/physiopathology* ; Gastrointestinal Microbiome/physiology* ; Child ; Intestinal Mucosa

This study explored the drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma(SM), established the suitable models simulating the drying kinetics, and then analyzed the dynamic changes of active components during the drying processes with different methods, aiming to provide a basis for the establishment of suitable drying methods and the quality control of SM. The drying kinetics were studied based on the drying curve, drying rate, moisture effective diffusion coefficient, and drying activation energy, and the appropriate drying kinetics model of SM was established. The drying performance of different methods, such as hot air drying, infrared drying, and microwave drying of SM was evaluated, and the changes in the content of 10 salvianolic acids and 6 tanshinones during drying were analyzed by UPLC-TQ-MS. The Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) was employed to evaluate the quality of SM dried with different methods. The results showed that the drying rate and moisture effective diffusion coefficient of SM increased with the rise in drying temperature, and the maximum drying rates of different methods were in the order of microwave drying > infrared drying > hot air drying, slice > whole root. The drying rate decreased with the rise in temperature and the extension of drying time. The activation energy of hot air drying was higher than that of infrared drying in SM. The most suitable model for simulating the drying process of SM was the Page model. The TOPSIS results suggested infrared drying at 50 ℃ was the optimal drying method for SM. During the drying process, the content of salvianolic acids increased in different degrees with the loss of moisture, among which salvianolic acid B showed the largest increase of 44 times compared with that in the fresh medicinal material. Tanshinones also existed in the fresh herb of SM, and the content of tanshinone Ⅱ_A increased by 3 times after drying. The results provided a basis for the establishment of suitable drying methods and the quality control of SM.
Salvia miltiorrhiza/chemistry* ; Desiccation/methods* ; Drugs, Chinese Herbal/chemistry* ; Rhizome/chemistry* ; Kinetics ; Quality Control ; Abietanes

With the growing awareness of public health, the value and importance of traditional Chinese medicine(TCM) resources have become increasingly prominent. Despite the undeniable significance of TCM in medical treatment and healthcare, the protection, development, and utilization of TCM resources still face numerous challenges. Under the traditional model, the development and utilization of TCM resources heavily rely on manual labor and empirical decision-making, which not only leads to inefficiencies and high costs but also causes serious issues such as unstable drug quality and imbalances in market supply and demand. In the current era of rapid advancements in artificial intelligence(AI) and technology, AI has emerged as a new engine to address many challenges and difficulties throughout the entire TCM resource industry chain. By leveraging AI technology, intelligent management, precise production, and optimized utilization of TCM resources can be achieved, thereby improving efficiency, reducing costs, ensuring stable quality, and balancing market supply and demand. This article primarily explores the application of AI technology in the entire TCM resource industry chain from different perspectives and provides an in-depth analysis of the future development of AI in the TCM industry. It holds significant importance and value in promoting the intelligent development of the TCM sector and facilitating the healthy development of the entire TCM resource industry chain.
Artificial Intelligence ; Medicine, Chinese Traditional/economics* ; Humans ; Drugs, Chinese Herbal/economics* ; Drug Industry

Lung cancer exhibits the highest incidence and mortality rates among cancers globally, with a five-year overall survival rate alarmingly below 20%. Targeting autophagy, though a controversial therapeutic strategy, is extensively employed in clinical practice. Current research is actively pursuing various therapeutic strategies using small molecules to exploit the dual function of autophagy. Nevertheless, the pivotal question of enhancing or inhibiting autophagy in cancer therapy merits further attention. This review aims to provide a comprehensive overview of the mechanisms of autophagy in lung cancer. It also explores recent advances in targeting cytotoxic autophagy and inhibiting protective autophagy with small molecules to induce cell death in lung cancer cells. Notably, most autophagy-targeting drugs, primarily natural small molecules, have demonstrated that activating cytotoxic autophagy effectively induces cell death in lung cancer, as opposed to inhibiting protective autophagy. These insights contribute to identifying druggable targets and drug candidates for potential autophagy-related lung cancer therapies, offering promising approaches to combat this disease.

Urine nontargeted metabolomics technology was developed for investigating the effect and mechanism of improving learning and memory ability in APP/PS1 mice of Psoralea corylifolia. All animal experiments were approved by the Animal Ethics Committee of Heilongjiang University of Chinese Medicine (Approval No.: 2020092502). Sixteen APP/PS1 mice were randomly divided into the model group and Psoralea corylifolia group (0.5 g·kg^-1), and eight male C57BL/6J mice of the same background were selected as control group, step-through test and novel object recognition were used as evaluation indexes. Changes in urine endogenous metabolites of mice from eachgroup were determined by ultra-high performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF-MS), and differential metabolites were screened, and metabolic pathway enrichment analysis was performed. The results of pharmacodynamic investigation showed that Psoralea corylifolia can reduce the dark incubation period and number of errors in APP/PS1 mice (P < 0.01) and improve the new object recognition index of APP/PS1 mice (P < 0.01). Metabolomics analysis identified 15 differential metabolites, and 9 differential metabolites were significantly call back by Psoralea corylifolia. Metabolic pathway analysis showed that histidine metabolism, citric acid cycle, taurine and hypotaurine metabolism and glucose metabolism were the main metabolic pathways of Psoralea corylifolia in improving learning and memory ability. These studies suggest that Psoralea corylifolia improves the learning and memory ability of APP/PS1 mice, and its mechanism may be related to improving mitochondrial dysfunction, reducing peripheral histamine level, regulating energy metabolism disorders and antioxidant levels.

The purpose of this study was to investigate the intervention effect and mechanism of Lycium barbarum leaves on letrozole-induced polycystic ovary syndrome (PCOS) mice. The PCOS model was prepared by letrozole combined with high-fat diet. After successful modeling, 40 mice were randomly divided into PCOS group, positive drug metformin group, low-dose Lycium barbarum leaves group, and high-dose Lycium barbarum leaves group. The corresponding drugs were given by gavage for 29 days. At the end of the experiment, the eyeballs were removed for blood collection and ovarian tissue was collected. The ovarian mass, fasting blood glucose (FBG), fasting insulin (FINS), testosterone (T), anti-Mullerian hormone (AMH), luteinizing hormone (LH), follicle stimulating hormone (FSH), and estradiol (E₂) levels were measured in each group. The morphology of ovarian tissue was observed by hematoxylin-eosin staining, and the oocytes, cystic follicles and corpus luteum were counted. Cecal contents of mice were collected for analysis of intestinal flora composition and differential flora. The animal experiment process was approved by the Animal Ethics Committee of Nanjing University of Traditional Chinese Medicine. The results showed that the estrous cycle of PCOS mice was disordered. Compared with the PCOS group, the Lycium barbarum leaves group can significantly reduce the ovarian damage of mice, reduce the number of cystic dilated follicles, and normalize the estrous cycle. After the intervention of Lycium barbarum leaves, the levels of FBG, FINS, T, AMH, LH, FSH and LH/FSH were significantly decreased (P < 0.05), while the level of E₂ was significantly increased (P < 0.001). In addition, Lycium barbarum leaves can regulate the disorder of intestinal flora diversity in PCOS mice, increase the abundance of Bacteroidetes, and reduce the abundance of Firmicutes, Ileibacterium, Romboutsia and Faecalibaculum. In summary, Lycium barbarum leaves can play a therapeutic role in PCOS mice by improving insulin resistance, regulating reproductive hormone disorders and gut microbiota imbalance. It provides scientific basis and useful reference for the rational utilization and development of Lycium barbarum leaves.

Objective To investigate the fluctuations in the population density of Aedes albopictus and changes in the population density of Ae. albopictus in different geographical areas and different breeding habitats in Guangdong Province from 2018 to 2023, so as to provide insights into prevention and control of mosquito-borne infectious diseases in the province. Methods Ae. albopictus surveillance sites were assigned in 1 609 townships (streets) from 121 districts (counties) of 21 cities in Guangdong Province during the period between March and November from 2018 to 2023. The surveillance of the population density of Ae. albopictus was performed once a month in each surveillance site, and once a month in specific settings in cities where dengue were highly prevalent in Guangdong Province from December to February of the next year during the period from 2018 through 2023. Four streets (villages) were selected in each surveillance site according to the geographic orientation, and mosquito ovitraps were assigned in gardens, rooftops or public green belts at residential areas, parks, hospitals and construction sites. All mosquito ovitraps were collected, and the mosquito ovitrap index (MOI) was calculated. The population density of Ae. albopictus was classified into four grades in each surveillance site according to MOI, including no risk, low risk, medium risk and high risk. The risk classification of the Ae. albopictus density was analyzed in each surveillance site each year from 2018 to 2023, and the population density of Ae. albopictus was analyzed at different months and in different geographical areas and breeding habitats. Results A total of 118 241 Ae. albopictus surveillance sites were assigned in 21 cities of Guangdong Province from 2018 to 2023, and there were 68.26% of the surveillance sites with the population density of Ae. albopictus that met the requirements for dengue prevention and control, among which low, medium and high risk surveillance sites accounted for 23.61%, 6.67% and 1.47%. The risk classification of the Ae. albopictus density increased rapidly in Guangdong Province since April to May each year from 2018 to 2023, and then gradually reduced since September to October, with the peak during the period between May and July. The mean MOI was 4.21 at each surveillance site in Guangdong Province during the period from 2018 to 2023, with 4.69, 4.80, 4.38, 3.82, 3.38, and 4.33 from 2018 to 2023, respectively. The MOI was 4.35, 4.43, 3.53 and 3.58 in the Pearl River Delta region, and eastern, western, and northern Guangdong Province, respectively, and was 4.18, 5.44, 4.75, 3.24, 4.27 and 3.70 in residential areas, parks, construction sites, hospitals, waste collection stations, and other breeding habitats, respectively. Conclusions The population density of adult Ae. albopictus peaked in Guangdong Province during the period between May and July from 2018 to 2023, with a high density of Ae. albopictus in the Pearl River Delta region and eastern Guangdong Province. Targeted Ae. albopictus control measures are recommended to be implemented prior to the peak of the Ae. albopictus population density to reduce the development of mosquito-borne infectious diseases.

Objective To explore the characteristics of blood pressure in the elderly patients with hypertensive cerebral small vessel disease(CSVD)and their correlation with traditional Chinese medicine(TCM)syndrome types.Methods A retrospective analysis was conducted in 189 elderly patients with essential hypertension.With reference to the presence or absence of CSVD,the patients were divided into CSVD group(87 cases)and non-CSVD group(102 cases).The blood pressure related parameters and clinical data obtained by four diagnostic methods of TCM in the two groups were collected,and then the characteristics of blood pressure and their correlation with TCM syndromes were analyzed with statistical methods.Results(1)CSVD group had higher values than non-CSVD group in the ambulatory blood pressure parameters of 24-hour systolic blood pressure(24hSBP),24-hour diastolic blood pressure(24hDBP),daytime systolic blood pressure(DSBP),daytime diastolic blood pressure(DDBP),nighttime systolic blood pressure(NSBP),nighttime diastolic blood pressure(NDBP),24-hour pulse pressure(24hPP),daytime pulse pressure(DPP),nighttime pulse pressure(NPP),maximum SBP,morning SBP,daytime SBP load and nighttime SBP load(P＜0.01).(2)The analysis of blood pressure variability showed that the mean value of nighttime SBP standard deviation(NSSD)in CSVD group was higher than that in the non-CSVD group(P＜0.01).(3)The analysis of circadian rhythm of blood pressure showed that there was significant difference in the comparison of circadian rhythm of ambulatory blood pressure between the two groups(P＜0.05):non-CSVD group was predominated by non-dipper type blood pressure(50 cases,49.02%)and dipper type blood pressure(31 cases,30.39%),and CSVD group was predominated by non-dipper type blood pressure(38 cases,43.68%)and super-dipper type blood pressure(31 cases,35.63%).(4)Logistic regression analysis showed that 24hSBP(OR=1.296,95%CI:1.112-1.511),maximum SBP(OR=1.074,95%CI:1.006-1.146),morning SBP(OR=1.064,95%CI:1.013-1.118),abnormal circadian rhythm of blood pressure(OR=3.736,95%CI:1.663-8.390)were the influence factors of CSVD(P＜0.05 or P＜0.01).(5)The analysis of the distribution of TCM syndrome types showed that non-CSVD group was dominated by accumulation of excess phlegm-damp syndrome(58.82%)and yin deficiency and yang hyperactivity syndrome(21.57%),and CSVD group was dominated by yin deficiency and yang hyperactivity syndrome(51.72%)and accumulation of excess phlegm-damp syndrome(21.84%).(6)The analysis of blood pressure in patients with various syndrome types showed that the DPP of patients with accumulation of excess phlegm-damp syndrome in the CSVD group was significantly higher than that in the non-CSVD group(P＜0.01),and the 24hDBP and NDBP of patients with yin deficiency and yang hyperactivity syndrome in the CSVD group were significantly higher than those in the non-CSVD group(P＜0.01).Conclusion It is indicated that 24hSBP,maximum SBP,elevated morning SBP,and abnormal blood pressure circadian rhythms may be the important risk factors for the hypertensive CSVD in the elderly.Elderly hypertensive patients with accumulation of excess phlegm-damp syndrome should pay more attention to the mean daytime pulse pressure,and elderly hypertensive patients with yin deficiency and yang hyperactivity syndrome should pay more attention to monitoring DBP.The dynamic observation and early control of the blood pressure is helpful for the prevention and treatment of CSVD in the elderly patients with hypertension.