1.Long-term toxicity test of oral hexavalent reassortant live attenuated rotavirus vaccine(Vero cell) in SD rats
Chinese Journal of Biologicals 2026;39(03):257-263
ObjectiveTo evaluate the long-term toxicity of oral hexavalent reassortant live attenuated rotavirus(RV)vaccine(Vero cell) in SD rats, so as to provide theoretical basis for the clinical application of the vaccine.MethodsA total of 150 SPF healthy rats with a male-to-female ratio of 1∶1 were selected and divided into experimental groups and satellite groups, 120 rats in experimental groups and 30 rats in satellite groups. The experimental groups included high-dose group[oral hexavalent reassortant live attenuated rotavirus vaccine(Vero cell), 2 doses/rat], low-dose group [oral hexavalent reassortant live attenuated rotavirus vaccine(Vero cell), 1 dose/rat], negative control group(0. 9% sodium chloride, 4 mL/rat)and vector control group(vector control, 4 mL/rat), with 30 rats in each group, and the rats were administered by gavage, once every 2 weeks, for a total of 4 doses. The clinical characterization of the rats was observed, and the weight, body temperature,ophthalmologic examination, clinical pathology(blood count, coagulation function, blood biochemistry and urinalysis), virus absorption, tissue distribution, gross autopsy, weighing of major organs, and histopathological examination were performed.The satellite groups randomly divided 30 rats into high-dose, low-dose, and negative control groups, with the same dosage as the experimental groups, for immunological parameter assessment and virus shedding studies.ResultsThere were no regular changes with toxicological significance in clinical characterization, body weight, body temperature, ophthalmic examination,hematology, coagulation function, blood biochemistry, urinalysis and other indicators in each group. The RV-specific IgA antibodies could be detected in rats of both high-dose and low-dose groups, and the highest antibody titer reached 1∶80. No administration-related changes were observed in organ weights and organ coefficients of rats in each group, and no administration-related systemic toxicity pathological changes were found in histopathological examination.ConclusionNo systemic toxicity was observed in the repeated dose toxicity test, and the no observed adverse effect level(NOAEL) dose was considered to be 2 doses/rat.
2.TCMLCM: an intelligent question-answering model for traditional Chinese medicine lung cancer based on the KG2TRAG method
Chunfang ZHOU ; Qingyue GONG ; Wendong ZHAN ; Jinyang ZHU ; Huidan LUAN
Digital Chinese Medicine 2025;8(1):36-45
[Objective] :
To improve the accuracy and professionalism of question-answering (QA) model in traditional Chinese medicine (TCM) lung cancer by integrating large language models with structured knowledge graphs using the knowledge graph (KG) to text-enhanced retrieval-augmented generation (KG2TRAG) method.
[Methods] :
The TCM lung cancer model (TCMLCM) was constructed by fine-tuning ChatGLM2-6B on the specialized datasets Tianchi TCM, HuangDi, and ShenNong-TCM-Dataset, as well as a TCM lung cancer KG. The KG2TRAG method was applied to enhance the knowledge retrieval, which can convert KG triples into natural language text via ChatGPT-aided linearization, leveraging large language models (LLMs) for context-aware reasoning. For a comprehensive comparison, MedicalGPT, HuatuoGPT, and BenTsao were selected as the baseline models. Performance was evaluated using bilingual evaluation understudy (BLEU), recall-oriented understudy for gisting evaluation (ROUGE), accuracy, and the domain-specific TCM-LCEval metrics, with validation from TCM oncology experts assessing answer accuracy, professionalism, and usability.
[Results] :
The TCMLCM model achieved the optimal performance across all metrics, including a BLEU score of 32.15%, ROUGE-L of 59.08%, and an accuracy rate of 79.68%. Notably, in the TCM-LCEval assessment specific to the field of TCM, its performance was 3% − 12% higher than that of the baseline model. Expert evaluations highlighted superior performance in accuracy and professionalism.
[Conclusion]
TCMLCM can provide an innovative solution for TCM lung cancer QA, demonstrating the feasibility of integrating structured KGs with LLMs. This work advances intelligent TCM healthcare tools and lays a foundation for future AI-driven applications in traditional medicine.
3.Expression of SOX2 in cervical intraepithelial neoplasia and cervical cancer and its clinical significance.
Chunfang CAI ; Guosheng TAN ; Qi YU ; Feng LUAN ; Lei YU ; Ying WANG
Journal of Southern Medical University 2013;33(1):128-130
OBJECTIVETo investigate the expression of SOX2 in cervical intraepithelial neoplasia (CIN) and cervical cancer and explore its association with the clinical features.
METHODSSOX2 expressions were examined using immunohistochemical method in 10 normal cervical tissue specimens, 36 cervical intraepithelial neoplasia specimens (including 10 cases of grade I, 12 of grade II, and 14 grade III) and 40 cervical cancer specimens (including 21 cases of stage I and 19 of stage II). The correlation between the immunohistochemical results and the clinical features of the patients was analyzed.
RESULTSSOX2 expression was negative in normal cervical tissues, and was positive in 41.6% of CIN specimens (10.0% in CIN I, 41.7% in CIN II, and 64.3% in CIN III) in 82.5% of cervical cancer specimens (78.2% in stage I and 88.2% in stage II). The patients with cervical cancer had a significantly higher positivity rate of SOX2 than normal control group (P<0.05). The positivity rate of SOX2 increased with the evolution of cervical disease. SOX2 protein expression was significantly correlated with the histological grade and lymph node metastasis (P<0.05), but not with the age or clinical stage of the patients (P<0.05).
CONCLUSIONSOX2 expression may serve as a useful indicator for evaluating metastasis and malignancy of cervical cancer.
Adult ; Aged ; Cervical Intraepithelial Neoplasia ; metabolism ; pathology ; Female ; Humans ; Middle Aged ; Neoplasm Grading ; Neoplasm Staging ; SOXB1 Transcription Factors ; metabolism ; Uterine Cervical Neoplasms ; metabolism ; pathology


Result Analysis
Print
Save
E-mail