This paper introduces the academic characteristics of Professor ZHANG Ren in treatment with acupuncture for refractory eye diseases in modern times, guided by "homotherapy for heteropathy" (same therapy for different diseases sharing the same pathogenesis). The refractory eye diseases in modern times include a variety of conditions such as glaucoma, macular degeneration, diabetic retinopathy, high myopia and its complications, dry eye, cortical visual impairment and genetic eye diseases. The same therapy is used because these diseases share the similar location and pathogenesis. Professor ZHANG optimizes the methods of acupoint selection and provides the comprehensive prescriptions, "basic prescription, prescription based on disease differentiation, and supplementary prescription". A variety of acupuncture manipulation techniques are operated in clinical practice, such as compound needling methods, penetration needling, manipulations for promoting qi movement and conducting qi flow. "Early, regular and persistent" treatment is the common requirement with "the same acupoints, the same prescription and the same acupuncture method" as well as at "the same time". It is also proposed that the treatment should be provided flexibly according to the different symptoms, "identifying the differences within similarities".
Acupuncture Therapy/methods* ; Humans ; Eye Diseases/history* ; Acupuncture Points ; History, 20th Century ; China ; History, 21st Century

OBJECTIVES: To investigate the effects of periodontitis induced by Prevotella nigrescens (Pn) combined with ligation on cognitive functions in mice. METHODS: Twenty-four C57BL/6J mice were randomly divided into control group, ligation group, and ligation + Pn treatment (P+Pn) group. Experimental periodontitis was induced by silk ligation of the first molars followed by topical application of Pn for 6 weeks. After modeling, alveolar bone resorption was assessed using micro-CT and histological analysis. Learning and memory abilities of the mice were evaluated using open field test (OFT), novel object recognition test (NORT), and Morris water maze test (MWM). Seven weeks after the start of modeling, the mice were sacrificed for examining histopathological changes in the hippocampus using HE and Nissl staining. RESULTS: After 6 weeks of molar ligation, micro-CT revealed horizontal alveolar bone resorption and furcation exposure in the mice, and histological analysis showed apical migration of the junctional epithelium, epithelial ridge hyperplasia, and lymphocyte infiltration, and these changes were obviously worsened in P+Pn group. Alveolar bone height decreased significantly in both ligation groups compared to the control group. Cognitive tests showed that the mice in both of the ligation groups traveled shorter distances in OFT, showed reduced novel object preference in NORT, and exhibited longer escape latencies in MWM, and the mice in P+Pn group had significantly poorer performances in the tests. Histologically, obvious neuronal cytoplasmic degeneration, necrosis, nuclear pyknosis, vacuolation, and reduced Nissl bodies and viable neurons were observed in the hippocampal regions of the mice in the two ligation groups. CONCLUSIONS Pn infection aggravates alveolar bone destruction, accelerates necrosis and causes morphological abnormalities of neuronal cells in the hippocampus to reduce cognitive functions of mice with periodontitis.
Animals ; Periodontitis/microbiology* ; Mice ; Mice, Inbred C57BL ; Cognition ; Alveolar Bone Loss ; Hippocampus/pathology* ; Male ; Inflammation ; Maze Learning

Objective To investigate the effects of periodontitis induced by Prevotella nigrescens(Pn)combined with ligation on cognitive functions in mice.Methods Twenty-four C57BL/6J mice were randomly divided into control group,ligation group,and ligation+Pn treatment(P+Pn)group.Experimental periodontitis was induced by silk ligation of the first molars followed by topical application of Pn for 6 weeks.After modeling,alveolar bone resorption was assessed using micro-CT and histological analysis.Learning and memory abilities of the mice were evaluated using open field test(OFT),novel object recognition test(NORT),and Morris water maze test(MWM).Seven weeks after the start of modeling,the mice were sacrificed for examining histopathological changes in the hippocampus using HE and Nissl staining.Results After 6 weeks of molar ligation,micro-CT revealed horizontal alveolar bone resorption and furcation exposure in the mice,and histological analysis showed apical migration of the junctional epithelium,epithelial ridge hyperplasia,and lymphocyte infiltration,and these changes were obviously worsened in P+Pn group.Alveolar bone height decreased significantly in both ligation groups compared to the control group.Cognitive tests showed that the mice in both of the ligation groups traveled shorter distances in OFT,showed reduced novel object preference in NORT,and exhibited longer escape latencies in MWM,and the mice in P+Pn group had significantly poorer performances in the tests.Histologically,obvious neuronal cytoplasmic degeneration,necrosis,nuclear pyknosis,vacuolation,and reduced Nissl bodies and viable neurons were observed in the hippocampal regions of the mice in the two ligation groups.Conclusion Pn infection aggravates alveolar bone destruction,accelerates necrosis and causes morphological abnormalities of neuronal cells in the hippocampus to reduce cognitive functions of mice with periodontitis.

Objective To explore the diagnostic value of hemodynamic and morphological characteristics based on four-dimensional flow magnetic resonance imaging(4D Flow MRI)for unstable saccular intracranial aneurysms(IAs).Methods Seventy-four patients with saccular unruptured intracranial aneurysms(UIAs)who underwent 4D Flow MRI examinations were selected.Morphological and hemodynamic data of the IAs were collected and followed up.According to the follow-up results,patients were divided into stable group and unstable group.Logistic regression analysis was used to identify factors associated with the unstable group,and the diag-nostic performance of the model was evaluated using the receiver operating characteristic(ROC)curves and the area under the curve(AUC).Results The aneurysm diameter,height,width,neck width,and aspect ratio(AR)value in the unstable group were greater than those in the stable group.The wall shear stress(WSS)at the aneurysm neck and the parent artery inflow,as well as the end diastolic velocity(EDV)at the parent artery inflow,were lower in the unstable group than those in the stable group(P＜0.05).Multivariate logistic regression analysis showed that the AR and WSS at the aneurysm neck were independent predictors of unstable IAs(P＜0.05).The combined model of WSS at the aneurysm neck and AR showed an AUC of 0.742[95％confidence interval(CI)0.608-0.875],repre-sented the highest diagnostic performance.Conclusion The hemodynamic characteristics quantified by 4D Flow MRI offer supple-mentary information for risk assessment of IAs.Combining hemodynamic and morphological characteristics is of significant value in identi-fying unstable saccular IAs.

Objective To explore the diagnostic value of hemodynamic and morphological characteristics based on four-dimensional flow magnetic resonance imaging(4D Flow MRI)for unstable saccular intracranial aneurysms(IAs).Methods Seventy-four patients with saccular unruptured intracranial aneurysms(UIAs)who underwent 4D Flow MRI examinations were selected.Morphological and hemodynamic data of the IAs were collected and followed up.According to the follow-up results,patients were divided into stable group and unstable group.Logistic regression analysis was used to identify factors associated with the unstable group,and the diag-nostic performance of the model was evaluated using the receiver operating characteristic(ROC)curves and the area under the curve(AUC).Results The aneurysm diameter,height,width,neck width,and aspect ratio(AR)value in the unstable group were greater than those in the stable group.The wall shear stress(WSS)at the aneurysm neck and the parent artery inflow,as well as the end diastolic velocity(EDV)at the parent artery inflow,were lower in the unstable group than those in the stable group(P＜0.05).Multivariate logistic regression analysis showed that the AR and WSS at the aneurysm neck were independent predictors of unstable IAs(P＜0.05).The combined model of WSS at the aneurysm neck and AR showed an AUC of 0.742[95％confidence interval(CI)0.608-0.875],repre-sented the highest diagnostic performance.Conclusion The hemodynamic characteristics quantified by 4D Flow MRI offer supple-mentary information for risk assessment of IAs.Combining hemodynamic and morphological characteristics is of significant value in identi-fying unstable saccular IAs.

Objective:To investigate the clinicopathological characteristics of dedifferentiated endometrial carcinoma/undifferentiated endometrial carcinoma (DDEC/UDEC) with loss of expression of SMARCA4.Methods:A total of 10 cases with loss of expression of SMARCA4 were diagnosed at Fujian Cancer Hospital between January 2019 and December 2023. A retrospective analysis was conducted on the clinical characteristics, morphology, immunophenotype, molecular classification, and prognosis.Results:(1) Clinical characteristics: among 10 cases of DDEC/UDEC with loss of expression of SMARCA4, the patients′ age ranged from 48 to 65 years, with a median age of 56 years.Five cases were classified as International Federation of Gynecology and Obstetrics (FIGO) stages Ⅰ-Ⅱ, while the remaining five were categorized as stages Ⅲ-Ⅳ. (2) Pathological features: tumor cells exhibited poor cell adhesion, with common intravascular tumor emboli (8/10), occasional vacuolated nuclei (6/10), rhabdoid cells (4/10), and starry sky phenomenon formed by tissue cell phagocytosis apoptosis bodies or fragments (4/10). Six cases (6/10) showed loss of mismatch repair (MMR) protein expression, two cases (2/10) exhibited p53 mutant expression, and five cases (5/10) tested positive for programmed cell death ligand 1 (PD-L1). (3) Molecular subtyping: molecular subtyping revealed POLEmut in 1 case (1/10), mismatch repair deficient (MMR-d) in 5 cases (5/10), p53 abn in 1 case (1/10), and no specific molecular profile (NSMP) in 3 cases (3/10). (4) Prognosis: the follow-up period ranged from 7 to 42 months, with a median of 20 months. Five patients succumbed to the tumor, whereas the remaining five exhibited no recurrence during subsequent postoperative evaluations. The 2-year progression-free survival rates and overall survival rates were 58.3% and 52.5%, respectively.Conclusions:Loss of expression of SMARCA4 occurs in approximately 1/5 of DDEC/UDEC, which presents with an aggressive clinical course and a poor prognosis. About half of them show MMR protein loss expression and PD-L1 positive expression, suggesting that there might be benefit from treatment with immune checkpoint inhibitors.

OBJECTIVE To explore the construction of the physical identification model of twenty-five people of yin and yang by combining the hand diagnosis image analysis of machine learning,in order to enrich the input of physical identification features.METHODS Based on the theory of twenty-five people of yin and yang,the hand images of 542 patients with cardiovascular disease were collected by self-developed hand diagnosis acquisition equipment.The key points of the hand were extracted by the Mediapipe palm key point algorithm,and the palm area was segmented by geometry to obtain the length and color gamut characteristics of different parts.The physician with clinical license was used to determined the patient's yin and yang twenty-five constitution according to the e-lectronic medical record,and the patient's constitution was identified by comparing Random Forest,Logistic Regression,Xgboost algo-rithm and Light GBM.RESULTS This study successfully constructed a TCM constitution identification model based on hand charac-teristics,which can identify ten basic constitution types including gold wood,gold fire,gold water,gold soil,wood fire,wood water,wood soil,water fire,water soil and fire soil.After sample equalization,the Random Forest model performed best in physical identifi-cation,with an accuracy rate of 0.69,which was significantly better than other models.CONCLUSION The constitution identifica-tion model of TCM hand diagnosis based on hand characteristics can realize the constitution identification of the five elements of TCM.However,due to the use of only hand diagnosis data of TCM,the accuracy needs to be improved.Compared with the traditional body mass scale,it is more objective,convenient,highly stable and consistent.In the future,multimodal integration with face diagno-sis and whole body inspection can be carried out to promote the accuracy,intelligence and multi-dimensional evaluation ability of TCM constitution identification technology.

Bluetongue virus is an arbovirus that seriously harms ruminants such as sheep,this study aims to investigate the molecular mechanism of bluetongue virus infection and host cell interferon antiviral immune response.The study was conducted to characterize the mRNA expression of inter-feron pathway genes by real-time fluorescence quantitative PCR,as well as Western blot analysis of MDA5,TRAF3,RIG-Ⅰ,and TBK1 protein expression in BHK-21 cells induced by BTV with a multiplicity of infections(MOI)of 1 for 18,24,and 36 h.The results showed that the most pro-nounced changes in the expression of interferon signaling pathway genes were observed at 24 h of induction,the gene mRNA expression levels of the IFN-α,IFN-β,RIG-Ⅰ,TBK1,MDA5,VISA,and TRAF3 genes were upregulated.However,the mRNA expression levels of IKKε and TRAF6 genes were downregulated.At the protein level,MDA5 and TBK1 proteins were upregulated while RIG-1 and TRAF3 proteins were downregulated,which showed that BTV infection induces a typeⅠ interferon immune response in BHK-21 cells.This study lays the foundation for further exploring the antiviral immunity mechanism of IFN-Ⅰ signaling pathway regulatory genes in host cells infected with BTV infection.

Attention deficit hyperactivity disorder is a common neurodevelopmental disorder characterized by persistent attention deficit, hyperactivity, and impulsive behaviors that are not consistent with developmental age.Academic and vocational difficulties, social exclusion, and delinquent behaviors are manifested in daily life.It is also commonly accompanied by psychiatric problems.At the same time, mental problems are common, and the overall quality of life is greatly affected, placing a heavy burden on society as well as the family.International attention deficit hyperactivity disorder experts have developed a common and comprehensive International Classification of Functioning, Disability and Health core set of classifications for assessing individual functioning in attention deficit hyperactivity disorder.

AIM: To evaluate the performance of three distinct large language models(LLM), including GPT-3.5, GPT-4, and PaLM2, in responding to queries within the field of ophthalmology, and to compare their performance with three different levels of medical professionals: medical undergraduates, master of medicine, and attending physicians.METHODS: A total of 100 ophthalmic multiple-choice tests, which covered ophthalmic basic knowledge, clinical knowledge, ophthalmic examination and diagnostic methods, and treatment for ocular disease, were conducted on three different kinds of LLM and three different levels of medical professionals(9 undergraduates, 6 postgraduates and 3 attending physicians), respectively. The performance of LLM was comprehensively evaluated from the aspects of mean scores, consistency and confidence of response, and it was compared with human.RESULTS: Notably, each LLM surpassed the average performance of undergraduate medical students(GPT-4:56, GPT-3.5:42, PaLM2:47, undergraduate students:40). Specifically, performance of GPT-3.5 and PaLM2 was slightly lower than those of master's students(51), while GPT-4 exhibited a performance comparable to attending physicians(62). Furthermore, GPT-4 showed significantly higher response consistency and self-confidence compared with GPT-3.5 and PaLM2.CONCLUSION: LLM represented by GPT-4 performs well in the field of ophthalmology, and the LLM model can provide clinical decision-making and teaching aids for clinicians and medical education.