Objective: To understand the awareness of chikungunya fever knowledge and its related factors among medical college students in Baise City, so as to provide a scientific basis to offer relevant courses and special education. Methods: From July to August 2025, 7 286 enrolled medical students were selected by a sampling method from a medical college in Baise City to participate in the questionnaire survey. The questionnaire covered epidemiological characteristics, clinical symptoms, and prevention/control knowledge of chikungunya fever. Statistical analyses including the Chi quare test and multivariate Logistic regression models were performed. Results: The overall awareness rate of chikungunya fever knowledge among the medical students was 18.89%. Among the knowledge items, the awareness rate of "the high incidence season" was the highest (84.05%), while that of "the infectious period" was the lowest (17.80%). Multivariate Logistic regression analysis showed that medical students with female (a OR= 1.37 , 95%CI =1.20- 1.57 ), the age for over 25 years old (a OR=1.76, 95%CI =1.05-2.93), whose father had a middle school educational level (a OR=1.18, 95%CI =1.05-1.31), and majored in preventive medicine (a OR=1.54, 95%CI =1.10-1.67) had relatively higher awareness rates of chikungunya fever knowledge (all P <0.05). In contrast, students of Zhuang ethnicity (a OR= 0.87 , 95%CI =0.76-0.98) and majoring in nursing (a OR=0.74, 95%CI =0.61-0.91) or pharmacy (a OR=0.70, 95%CI =0.52-0.95) had relatively lower awareness rates (all P <0.05). Conclusions The awareness rate of chikungunya fever related knowledge among medical college students in Baise City is relatively low. Schools should take targeted publicity measures to improve medical students awareness.

ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

Sinisan is a classical prescription developed and applied by ancient medical experts and it is first recorded in the Treatise on Cold Damage written by ZHANG Zhongjing in the Eastern Han Dynasty. Later physicians have modified this prescription based on this original one. The bibliometrics methods were used to analyze the key information and research trend of Sinisan. According to the inclusion and exclusion criteria， 69 pieces of effective data were extracted， involving 67 ancient traditional Chinese medicine （TCM） books. The results showed that the name， composition， and decocting methods of Sinisan in later generations were inherited from the original record in the Treatise on Cold Damage. The original plants of medicinal materials used in Sinisan are basically clear. We recommend Bupleuri Radix as the dried root of Bupleurem scorzonerifolium， Paeoniae Radix Alba as the dried root of Paeonia lactiflora， Aurantii Fructus as the dried fruit of Citrus aurantium， Glycyrrhizae Radix et Rhizoma as the dry root and rhizome of Glycyrrhiza uralensis. Raw materials of Bupleuri Radix and Paeoniae Radix Alba， Aurantii Fructus stir-fried with bran， and stir-fried Glycyrrhizae Radix et Rhizoma should be used for preparation of Sinisan. According to measurement system in the Han Dynasty， a bag of Sinisan is composed of 1.25 g Bupleuri Radix， 1.25 g Paeoniae Radix Alba， 1.25 g Aurantii Fructus， and 1.25 g Glycyrrhizae Radix et Rhizoma. The materials should be grounded into coarse powder and taken with a proper amount of rice soup， 3 times a day. Sinisan has the effects of regulating qi movement and harmonizing the liver and spleen. It can be used for treating reversal cold in limbs and cold damage. In modern clinical practice， Sinisan can be used to treat chronic gastritis， irritable bowel syndrome， and dyspepsia. The above research results provide scientific reference for the future research and development of Sinisan.

OBJECTIVE To analyze the impact of intergenerational substitution effect of the drugs with the same indication on fund expenditures for national medical insurance for this indication in China， taking national medical insurance negotiated drugs for non-small cell lung cancer （hereinafter referred to as “NSCLC national negotiation drugs”） as an example. METHODS The sales amounts of 15 types of NSCLC national negotiated drugs in secondary and tertiary public hospitals across seven sample provinces from 2017 to 2023 were collected from the Pharmaceutical Drug Database of the China National Pharmaceutical Industry Information Center. A sliding t-test and Mann-Kendall trend test were used to evaluate the trends in sales amounts and DDDs. Taking epidermal growth factor receptor（EGFR）-tyrosine kinase inhibitors （TKIs） and anaplastic lymphoma kinase （ALK）-TKIs as examples， the generational substitution characteristics of these drugs were analyzed. RESULTS The change points of sales amounts and DDDs differed slightly across provinces； the change points of sales amount were mostly concentrated between the first quarter of 2019 and the second quarter of 2020， while those for DDDs were primarily concentrated in the first to second quarters of 2021. In five provinces， i.e. Beijing， Heilongjiang， Jiangsu， Sichuan and Shaanxi， sales amounts showed no significant upward trend after the breakpoints （P＞0.05）， whereas in Guangdong and Hubei， both sales amounts and DDDs continued to rise significantly following the breakpoints （P＜0.05）. Since 2020， the growth in sales amounts of EGFR-TKIs had slowed. After 2021， the sales amounts and DDDs of first- and second-generation EGFR-TKIs declined， while third-generation EGFR-TKIs showed clear substitution effects. The sales amounts of ALK-TKIs continuedto grow. However， the sales amounts and DDDs of first-generation ALK-TKIs had declined year by year， with second-generation ALK-TKIs demonstrating a significant substitution effect on first-generation ones， while third-generation ALK-TKIs had not yet shown a clear substitution trend. CONCLUSIONS With the annual access to and renewal of drugs in national medical insurance negotiations， the overall expenditure trend for NSCLC negotiated drugs comes to a plateau. The intergenerational substitution relationships of drugs with the same indication achieve a relative balance in fund expenditures for negotiated drugs with the same indication. It is recommended that pharmaceutical companies carefully consider their research pipelines， and that medical insurance authorities， during the renewal management process， pay attention to the impact of drug substitution effects on the overall actual expenditure of medical insurance funds for that specific target or the same indication， and scientifically evaluate the extent of price reductions during contract renewals.

Membrane protein degradation is a cutting-edge field in targeted protein degradation (TPD). Herein, we developed glypican-3 (GPC3)-mediated lysosome-targeting chimeras (GLTACs) as a novel strategy for the targeted degradation of tumor-specific membrane proteins. GLTACs utilize tumor-specific expression and endocytosis properties of GPC3 to degrade membrane proteins. By conjugating a GPC3-targeting peptide with the ligand of protein of interest (POI), GLTACs induce the formation of a ternary complex that is internalized into lysosomes, leading to the degradation of the POI. The effectiveness and specificity of GLTACs were validated by designing PD-L1, c-Met, and FGFR1 degraders. In particular, GLTAC WP0 potently degraded PD-L1 and induced T-cell-mediated tumor killing against HepG2 cells, highlighting the potential therapeutic applications. The development of GLTAC technology expands the scope of TPD strategies and opens new avenues for discovering novel therapeutic modalities against challenging protein targets.

OBJECTIVE: The investigation of the correlation between ecological factors and the genetic characteristics or metabolites of plants offers valuable insights into the regional causes of genetic and metabolic diversity. Here, Gastrodia elata, a medicinal plant, is employed as a model to explore the environmental factors that influence its genetic characteristics and metabolic accumulations. METHODS: A total of 23 G. elata populations from six cultispecies and 11 cultivated regions were selected based on the predictions of the global geographic information system. The genetic characteristics of these populations were evaluated using highly polymorphic simple sequence repeat markers. Additionally, the metabolic accumulations and antioxidant capacity of mature tubers were measured employing colorimetry and high performance liquid chromatography (HPLC). Ecological data of each region were obtained from the WorldClim-global climate database and harmonized world soil database. To assess the influence of ecological factors on the genetic characteristics and metabolic profiles of G. elata, Pearson's correlation analysis was conducted. RESULTS: Genetic variation among G. elata populations exceeded that within populations. Genetic diverisity, distance and structure manifested regional and species-specific patterns. Metabolic profiling and antioxidant capacity exhibited regional variations. Notably, the Lueyang region demonstrated that a content range of total polysaccharide, total protein, and phenolic glycosides was 9.34%-189.67% higher than the average. Similarly, in the Hubei region, total phenolic content, p-hydroxybenzyl alcohol content, and antioxidant indicators were observed to be higher than the average levels, by 106.57%, 136.47% and 12.50%-91.14%, respectively. Furthermore, ecological factors had a significant comprehensive impact on G. elata genetic characteristics (r > 0.256 and P < 0.05). Multivariate metabolite accumulations in G. elata were influenced by dominant ecological factors. Temperature notably impacted the accumulation of total protein (|r| > 0.528 and P < 0.05). Moisture, encompassing precipitation and soil content, significantly affected the production of phenolic glycosides (|r| > 0.503 and P < 0.05). CONCLUSION The genetic characteristics of G. elata manifested regional and species-specific patterns, with the metabolic accumulations and antioxidant capacity of mature tubers exhibited regional variations. Specifically, multivariate ecological factors comprehensively influenced genetic characteristics. Temperature and moisture played pivotal roles in regulating the accumulations of proteins and phenolic glycosides, respectively. These findings underscore the significant impact of ecological factors on the shaping of G. elata, highlighting their crucial role in enhancing the quality of Chinese medicinal materials.

Objective To study the three-dimensional changes of soft and hard tissue in male patients with unilateral non-syndromic cleft lip and palate in the mixed dentition period before and after maxillary protraction.Methods Twenty male patients with unilateral non-syndromic cleft lip and palate in the mixed dentition period treated by maxillary anterior traction in the Department of Orthodontics of Affiliated Stomatological Hospital of Nanjing Medical University were selected(average age(10.6±1.23)years old).Cone beam CT was taken before and after treatment.Dolphin 3D 11.95 software was used for three-dimensional measurement and analysis.SPSS 25.0 software package was used for statistical analysis.The self-controlled paired t test was used to compare the changes in soft and hard tis-sues of male patients with unilateral cleft lip and palate before and after treatment.The changes in the anterior displacement of the ANS point,the anterior displacement of point A,and the posterior displacement of point B were tested using the one-sample t test.Results The sagittal skeletal changes were significantly increased in ∠ SNA(P＜0.01),∠ANB(P＜0.01),Y axis(P＜0.05),the forward displacement of ANS point(P＜0.01)and A point(P＜0.01)and the backward displacement of B point(P＜0.01),but ∠SNB(P＜0.05)was decreased significantly.The vertical skeletal changes showed that ∠MP-FH(P＜0.01),∠MP-SN(P＜0.05)and the dis-tance of ANS-Me(P＜0.05)were increased significantly,but ∠SN-PP(P＜0.01)was decreased significantly.The dental changes inclu-ding ∠U1-NA(P＜0.01),the distance of U1-NA(P＜0.01),∠U1-SN(P＜0.01),overjet and the Wits were increased significantly,but ∠ L1-NB(P＜0.01),the distance of L1-NB(P＜0.01)and ∠L1-MP(P＜0.01)were decreased significantly.The changes of soft tis-sue including ∠ S-Ns-Sn(P＜0.01),∠ Sn-Ns-Bs(P＜0.01),the distance of UL-EP(P＜0.01)and LL-UL(P＜0.01)were increased sig-nificantly.Conclusion After the treatment of maxillary protraction,the forward growth of maxilla will be possibly promoted on patients with cleft lip and palate in the peak of growth timing,as well as the intermaxillary relationship and soft tissue profile,but the side effects should be paid attention to.

Immune thrombocytopenia(ITP)is an autoimmune disease characterized primarily by bleeding and fatigue.ITP-related fatigue can substantially affect health-related quality of life and has been recognized as a treatment indication in the latest guidelines.However,its pathogenesis remains unclear,and targeted therapies are lacking.This paper explores the theoretical foundation of the"excessive fire consuming healthy qi"theory,linking two key conceptual pairs:"excessive fire"with inflammation and"healthy qi consumption"with mitochondrial dysfunction.Chronic inflammation leads to continuous"qi consumption"and damage to mitochondrial structure and function,ultimately resulting in symptoms of qi deficiency such as tiredness and fatigue.The imbalance between qi and fire,leading to imbalance of yin and yang,is the primary pathogenesis of ITP-related fatigue,with the disease mainly affecting the spleen.Considering the etiology and pathogenesis of ITP,and relative equilibrium of yin-yang,the therapeutic approach of invigorating spleen and benefiting qi to promote the production of blood serves as a core treatment strategy.Previous research has demonstrated the clinical efficacy of Jianpi Yiqi Shexue Formula,consisting of milkvetch root,tangshen,Indian bread,largehead atractylodes rhizome,India madder root,and ass hide glue in treating patients with ITP-related fatigue.Designed to invigorate the spleen and regulate qi and blood,this formula aligns with the pathogenesis of ITP-related fatigue characterized by deficiency of spleen qi and stomach qi.The formula also modulates the expression levels of key proteins and genes involved in mitochondrial energy metabolism and alleviates the immune dysfunction.These findings highlight the potential for further research into the mechanism of ITP-related fatigue,particularly by using inflammation-mediated mitochondrial energy metabolism as a promising entry point.

Acupuncture and moxibustion therapy is a kind of treatment and health care method with original advantages of China.With the rapid development of epigenetics and systems biology technology,non-coding RNA(ncRNA)related research has made continuous breakthroughs in the field of acupuncture and moxibustion.This article collected the basic research literature on acupuncture and moxibustion related to ncRNA,and reviewed the research subsystems related to microRNA(miRNA),long chain non coding RNA(lncRNA)and circular RNA(circRNA).NcRNAs are widely involved in the growth,development and reproduction of the organism,as well as in the occurrence and development of various diseases,which fits with the multi-layer,multi-pathway and multi-target action network of acupuncture and moxibustion therapy.Taking ncRNAs as the breakthrough point to explore the mechanism of acupuncture and moxibustion in depth is not only conducive to promoting the exploration of new targets of acupuncture and moxibustion effect,but also can reveal the epigenetic regulation axis of acupuncture and moxibustion effect molecules,and provide ideas and methods for clinical diagnosis and treatment of diseases and evaluation of efficacy.

Objective To compare regression models for age estimation constructed based on the Pulp Dentinal Index(PDI)of the first permanent molars and explore a more accurate and applicable novel method.Methods A total of 900 Cone Beam Computed Tomography(CBCT)image datasets from adult Han Chinese individuals(455 males and 445 females)residing in Sichuan province,China,were collected from the Affiliated Hospital of North Sichuan Medical College.The PDI of the first permanent molars were measured using Mimics software.Regression analysis was performed with age as the dependent variable and PDI as the independent variable to establish and validate the optimal mathematical model for age estimation.Results Strong correlations were observed between the PDI of all four first permanent molars and age,with the correlation being stronger for maxillary teeth compared to mandibular teeth,and the highest correlation found in the left maxillary first molar among females(r=0.881).Significant differences in PDI were identified between maxillary and mandibular positions as well as between genders(P＜0.05),but not between left and right positions(P＞0.05).Among the 11 mathematical models constructed,the cubic regression model outperformed others,with the left maxillary first molar model demonstrating the best performance(Age=73.93-70.79x-68.75x2+94.33x3),yielding a mean absolute error(MAE)of 4.88 years.Conclusion Among the 11 regression models constructed in this study based on CBCT-measured PDI values of the first permanent molars,the cubic regression model exhibited the highest accuracy,with an MAE of 4.88 years.