Polycystic ovary syndrome（PCOS） and its resulting infertility is one of the common diseases of gynecology and reproductive endocrinology. The phosphatidylinositol 3-kinase/protein kinase B（PI3K/Akt） signaling pathway is relatively well-studied in the development of intervention in PCOS， and the experiments on PCOS in rats conducted by traditional Chinese medicine through this signaling pathway is also the main direction of mechanistic research. In this paper， 20 articles published in academic journals in the past 5 years were selected through the corresponding criteria， and the objective situation and existing problems of the selected research projects were analyzed from five aspects， namely， baseline data， modeling and treatment， grouping， evaluative indexes， and pharmacodynamic indexes. It is found that there were different degrees of problems in each research project， such as the observation indicators of modeling， criteria for judging the success of the model， the treatment period， the calculation of dosage of prescription/active ingredients and specific dosage were not clearly defined， which could easily lead the bias of the results or reduce the validity of experimental data. Based on this， the list of PCOS rat experimental research operations was formed， involving five categories of experimental rats， model construction， study implementation， outcome measures and analysis and report with a total of 21 operation lists， with a view to provide a reference for the subsequent PCOS experiments related to scientific research and helping to form high-quality results.

ObjectiveTo construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

To implement the instructions and directives of General Secretary Xi Jinping on important documents related to traditional Chinese medicine （TCM）， adhere to the equal emphasis on TCM and Western medicine， and promote mutual complementarity， win-win cooperation， and coordinated development between TCM and Western medicine， the China Association of Chinese Medicine has organized seminars on the clinical dominant diseases of TCM in multiple professional fields， achieving a series of results. The aim is to implement the research on dominant diseases of TCM described in the Law of the People's Republic of China on Traditional Chinese Medicine and the Opinions of the Central Committee of the Communist Party of China and the State Council on Promoting the Inheritance， Innovation and Development of Traditional Chinese Medicine， thus serving the construction of advantageous specialties， clinical talent cultivation， national scientific and technological layout， and academic innovation leadership. In the field of otolaryngology， the China Association of Chinese Medicine and many Chinese and Western medicine experts across the country have conducted multiple in-depth discussions and research. At the 10^th Clinical Dominant Disease Series Youth Salon， they have elaborated and demonstrated the basic and specific suggestions and consensus on the clinical advantages of TCM and integrated TCM and Western medicine in the treatment of allergic rhinitis （AR）， making great progress. However， there is still a lack of detailed research paths. Under the guidance of the China Association of Chinese Medicine and based on the TCM Dominant Disease Series Salon for AR， this study analyzed the difficulties encountered in AR diagnosis and treatment according to the occurrence and development law of AR. Based on the advantages and characteristics of AR diagnosis and treatment by TCM and integrated TCM and Western medicine， it explored the research paradigm and technological layout points of AR and put forward suggestions. The layout involved four aspects： Optimization of the AR diagnosis and treatment system， prevention and control of comorbidities， management of chronic diseases， and a platform for TCM inheritance. Additionally， suggestions for layout and research directions， expected goals and values， and priority levels for funding were proposed. The study is expected to provide a theoretical basis and development ideas for the future prevention and treatment of AR with TCM and integrated TCM and Western medicine and promote the high-quality development of TCM.

Objective To investigate the genetic causes of auditory neuropathy with optic atrophy in a family.Methods The proband's medical history and family history were inquired in detail,and relevant clinical examina-tions were performed to confirm the diagnosis of auditory neuropathy with optic atrophy,and the genetic pedigree of the family was drawn.Peripheral blood of proband(Ⅲ-7)was collected for whole exome sequencing,and the patho-genicity of the detected mutations were interpreted.Blood samples of proband's wife(Ⅲ-8),eldest daughter(Ⅳ-7),second daughter(Ⅳ-9)and son(Ⅳ-10)were tested for mutation sites by Sanger sequencing.Combined with clinical manifestations and examination results,the family was studied.Results The genetic pattern of this family was autosomal dominant.The proband showed decreased visual acuity at the age of 19,bilateral sensorineural deaf-ness at the age of 30,and decreased speech recognition rate.Among 20 members of the family of 5 generations,10(2 deceased)showed similar symptoms of hearing and visual impairment.Proband(Ⅲ-7),eldest daughter(Ⅳ-7)and son(Ⅳ-10)underwent relevant examination.Pure tone audiometry showed bilateral sensorineural deafness.ABR showed no response bilaterally.The 40 Hz AERP showed no response in both ears.OAE showed responses in some or all of the frequencies.No stapedial reflex was detected.The eye movement of Ⅲ-7 and Ⅳ-10 were reasona-ble in all directions,and color vision was normal.Ocular papilla atrophy was observed in different degrees in fundus examination.OCT showed thinning of optic disc nerve fibers in both eyes,and visual evoked potential showed pro-longed P100 wave peak.They were diagnosed as hereditary auditory neuropathy with optic atrophy.A mutation of the OPA1 gene c.1334G＞A(p.Arg445His,NM_015560.2)at a pathogenic locus on chromosome 3 was detected by whole exon detection in Ⅲ-7.The results of generation sequencing analysis showed that the OPA1 gene c.1334G＞A(p.Arg445His,NM_015560.2)mutation of chromosome 3 was also found in Ⅳ-7 and Ⅳ-10.Meanwhile,the gen-otypes of Ⅲ-8 and Ⅳ-9 were wild homozygous,that is,no mutation occurred.Conclusion The OPA1 c.1334G＞A(p.Arg445His,NM_015560.2)mutation site might be the pathogenic mutation in this family.

The immune response against infection is a multifaceted process encompassing the activation and migration of diverse immune cells, as well as the clearance of pathogens. The behaviors of immune cells and the identification of pathogens play pivotal roles as indicators for disease diagnosis and prediction. In recent years, the utilization of microfluidic chip technology has gained substantial attention within the areas of biology, pharmacology, and clinical research and diagnosis. This is primarily attributed to the numerous advantages it offers, including miniaturization, enhanced throughput, heightened sensitivity, expedited analysis, and reduced sample consumption. As a result, microfluidic technology has facilitated the development and utilization of immune cell behavioral assays, bacterial growth studies, and drug-screening assays. This paper is to review the application of microfluidic technology in the field of anti-infection immunity research, focusing on the analysis of migratory behavior of innate immune cells, deformation of their nuclei, and rapid identification of pathogenic bacteria and viruses. The primary objective of this review is to advance the application of microfluidic technology in research on both anti-infection immunity and clinical diagnosis.

Objective To evaluate the performance of magnetic resonance imaging(MRI)multi-sequence feature imputation and fusion mutual model based on sequence deletion in differentiating high-grade glioma(HGG)from low-grade glioma(LGG).Methods We retrospectively collected multi-sequence MR images from 305 glioma patients,including 189 HGG patients and 116 LGG patients.The region of interest(ROI)of T1-weighted images(T1WI),T2-weighted images(T2WI),T2 fluid attenuated inversion recovery(T2_FLAIR)and post-contrast enhancement T1WI(CE_T1WI)were delineated to extract the radiomics features.A mutual-aid model of MRI multi-sequence feature imputation and fusion based on sequence deletion was used for imputation and fusion of the feature matrix with missing data.The discriminative ability of the model was evaluated using 5-fold cross-validation method and by assessing the accuracy,balanced accuracy,area under the ROC curve(AUC),specificity,and sensitivity.The proposed model was quantitatively compared with other non-holonomic multimodal classification models for discriminating HGG and LGG.Class separability experiments were performed on the latent features learned by the proposed feature imputation and fusion methods to observe the classification effect of the samples in two-dimensional plane.Convergence experiments were used to verify the feasibility of the model.Results For differentiation of HGG from LGG with a missing rate of 10%,the proposed model achieved accuracy,balanced accuracy,AUC,specificity,and sensitivity of 0.777,0.768,0.826,0.754 and 0.780,respectively.The fused latent features showed excellent performance in the class separability experiment,and the algorithm could be iterated to convergence with superior classification performance over other methods at the missing rates of 30%and 50%.Conclusion The proposed model has excellent performance in classification task of HGG and LGG and outperforms other non-holonomic multimodal classification models,demonstrating its potential for efficient processing of non-holonomic multimodal data.

Objective To evaluate the performance of magnetic resonance imaging(MRI)multi-sequence feature imputation and fusion mutual model based on sequence deletion in differentiating high-grade glioma(HGG)from low-grade glioma(LGG).Methods We retrospectively collected multi-sequence MR images from 305 glioma patients,including 189 HGG patients and 116 LGG patients.The region of interest(ROI)of T1-weighted images(T1WI),T2-weighted images(T2WI),T2 fluid attenuated inversion recovery(T2_FLAIR)and post-contrast enhancement T1WI(CE_T1WI)were delineated to extract the radiomics features.A mutual-aid model of MRI multi-sequence feature imputation and fusion based on sequence deletion was used for imputation and fusion of the feature matrix with missing data.The discriminative ability of the model was evaluated using 5-fold cross-validation method and by assessing the accuracy,balanced accuracy,area under the ROC curve(AUC),specificity,and sensitivity.The proposed model was quantitatively compared with other non-holonomic multimodal classification models for discriminating HGG and LGG.Class separability experiments were performed on the latent features learned by the proposed feature imputation and fusion methods to observe the classification effect of the samples in two-dimensional plane.Convergence experiments were used to verify the feasibility of the model.Results For differentiation of HGG from LGG with a missing rate of 10%,the proposed model achieved accuracy,balanced accuracy,AUC,specificity,and sensitivity of 0.777,0.768,0.826,0.754 and 0.780,respectively.The fused latent features showed excellent performance in the class separability experiment,and the algorithm could be iterated to convergence with superior classification performance over other methods at the missing rates of 30%and 50%.Conclusion The proposed model has excellent performance in classification task of HGG and LGG and outperforms other non-holonomic multimodal classification models,demonstrating its potential for efficient processing of non-holonomic multimodal data.

Objective:To explore the clinical efficacy of 125I seeds implantation in treating cancer-induced pain and motor dysfunction caused by brachial plexus compression through neurophysiological monitoring. Methods:A retrospective study was conducted on 8 patients (4 males, 4 females; age 58-63 years) who underwent 125I seeds therapy for cancer-induced brachial plexus injury at Hebei Provincial People′s Hospital from January 2021 to August 2023. Pain severity was assessed by using the numerical rating scale (NRS) and motor function was evaluated by using the Fugl-Meyer (F-M) assessment. Electrophysiological monitoring was used to assess changes in sensory and motor branch conduction velocity (CV) of the musculocutaneous nerve, axillary nerve, median nerve, ulnar nerve, and radial nerve before and 3 months after treatment. Paired t-test was used for data analysis. Results:All 8 patients had moderate to severe pain (6 had motor dysfunction). The preoperative and postoperative NRS scores was 5.9±1.0 and 3.3±1.7, respectively ( t=4.93, P=0.002), while F-M scores was 44.8±7.6 and 54.8±5.7, respectively ( t=-3.52, P=0.017). Electrophysiological results showed that 7 patients had lesion involvement in the lower trunk of the brachial plexus, and 1 patient had involvement in the upper trunk. The preoperative and postoperative motor branch CV of the ulnar nerve was (47.2±2.6) and (59.7±8.2) m/s, respectively ( t=-3.17, P=0.034), while the sensory branch CV was (41.8±1.2) and (56.0±5.7) m/s, respectively ( t=-5.82, P=0.001). The nerve CV increased compared to the preoperative ones. Conclusions:125I seeds implantation has good clinical efficacy in treating cancer-related pain and motor dysfunction caused by brachial plexus compression. Changes in electrophysiology can quantitatively monitor the recovery of sensory and motor functions of the brachial plexus.

A total of 44 patients with diabetic foot ulcers were treated in the Traumatic Orthopedics Department of Weifang People′s Hospital from January 2019 to December 2022. After debridement of foot ulcers the wounds were soaked in alkaline water of pH 7.5-8.0 (study group, n=22) or covered with vaseline gauze following iodophor disinfection (control group, n=22). The therapeutic effects of the two methods were compared. Four weeks after debridement, the wound area of study group was smaller than that of control group (3.15 (0, 7.60) vs. 6.75 (3.50, 9.32)cm 2, P<0.05), and the proportion of positive wound bacterial culture was lower than that of control group (40.9% (9/22) vs. 72.7% (16/22), P<0.05). At 12 weeks after surgery, there was no statistically significant difference in the wound healing rate between the two groups (72.7% (16/22) vs. 63.6% (14/22)), but the healing time of the study group was significantly shorter than that of the control group ((6.56±2.68) vs. (9.50±3.87) weeks, P<0.05). It is suggested that immersion of weak alkaline solution is helpful to promote wound healing for patients with diabetic foot ulcers after debridement surgery.

Objective:To detect the status of PIK3CA in triple-negative breast cancer (TNBC) , and to analyze the relationships between PIK3CA mutation and clinical features and its impact on prognosis.Methods:From January 1, 2016 to December 31, 2018, 50 patients with primary TNBC admitted to Xinxiang Central Hospital of Henan Province were collected. The PIK3CA mutation status was detected, and the relationships between PIK3CA mutation and clinical characteristics of patients with TNBC and its impact on prognosis were analyzed.Results:PIK3CA gene mutation was detected in 9 of 50 TNBC patients, with a mutation frequency of 18.0%. H1047R mutation was found in 4 cases, E545K mutation in 3 cases and E542K mutation in 2 cases. PIK3CA gene mutation was not associated with age ( χ2=3.55, P=0.060) , tumor location ( χ2=1.01, P=0.315) , tumor size ( χ2<0.01, P>0.999) , lymph node status ( χ2=0.76, P=0.385) , clinical stage ( χ2=0.65, P=0.420) , Ki-67 value ( χ2<0.01, P>0.999) , P53 status ( χ2=0.02, P=0.894) and human epidermal growth factor receptor-2 (HER-2) status ( χ2=1.65, P=0.200) . Prognostic analysis showed that 3-year disease-free survival rates of wild-type PIK3CA patients was significantly higher than that of mutant PIK3CA patients (80.5% vs. 11.1%, χ2=28.23, P<0.001) . Conclusion:The frequency of PIK3CA gene mutation is higher in TNBC patients. There is no correlation between PIK3CA mutation and clinicopathologic features in TNBC patients. PIK3CA gene mutation may be significantly associated with poor prognosis of TNBC patients.