The development of traditional Chinese medicine (TCM) diagnosis and treatment has undergone multiple paradigms, evolving from sporadic experiential practices to systematic approaches in syndrome differentiation and treatment and further integration of disease and syndrome frameworks. TCM is a vital component of the medical system, valued alongside Western medicine. Treatment based on syndrome differentiation embodies both personalized treatment and holistic approaches; however, the inconsistency and lack of stability in syndrome differentiation limit clinical efficacy. The existing integration of diseases and syndromes primarily relies on patchwork and embedded systems, where the full advantages of synergy between Chinese and Western medicine are not fully realized. Recently, driven by the development of diagnosis and treatment concepts and advances in analytical technology, Western medicine has been rapidly transforming from a traditional biological model to a precision medicine model. TCM faces a similar need to progress beyond traditional syndrome differentiation and disease-syndrome integration toward a more precise diagnosis and treatment paradigm. Unlike the micro-level precision trend of Western medicine, precision diagnosis and treatment in TCM is primarily reflected in data-driven applications that incorporate information at various levels, including precise syndrome differentiation, medication, disease management, and efficacy evaluation. The current priority is to accelerate the development of TCM precision diagnosis and treatment technology platforms and advance discipline construction in this area.

Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.

ObjectiveTo investigate the value of different noninvasive diagnostic models in the diagnosis of esophageal and gastric varices since there is a high risk of esophageal and gastric varices in patients with compensated hepatitis B cirrhosis and significant portal hypertension， and to provide a basis for the early diagnosis of esophageal and gastric varices. MethodsA total of 108 patients with significant portal hypertension due to compensated hepatitis B cirrhosis who attended Guangdong Provincial Hospital of Traditional Chinese Medicine from November 2017 to November 2023 were enrolled， and according to the presence or absence of esophageal and gastric varices under gastroscopy， they were divided into esophageal and gastric varices group （GOV group） and non-esophageal and gastric varices group （NGOV group）. Related data were collected， including age， sex， imaging findings， and laboratory markers. The chi-square test was used for comparison of categorical data between groups； the least significant difference t-test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups. The receiver operating characteristic （ROC） curve was plotted to evaluate the diagnostic value of five scoring models， i.e.， fibrosis-4 （FIB-4）， LOK index， LPRI， aspartate aminotransferase-to-platelet ratio index （APRI）， and aspartate aminotransferase/alanine aminotransferase ratio （AAR）. The binary logistic regression method was used to establish a combined model， and the area under the ROC curve （AUC） was compared between the combined model and each scoring model used alone. The Delong test was used to compare the AUC value between any two noninvasive diagnostic models. ResultsThere were 55 patients in the GOV group and 53 patients in the NGOV group. Compared with the NGOV group， the GOV group had a significantly higher age （52.64±1.44 years vs 47.96±1.68 years， t=0.453， P<0.05） and significantly lower levels of alanine aminotransferase ［42.00 （24.00 — 17.00） U/L vs 82.00 （46.00 — 271.00） U/L， Z=-3.065， P<0.05］， aspartate aminotransferase ［44.00 （32.00 — 96.00） U/L vs 62.00 （42.50 — 154.50） U/L，Z=-2.351， P<0.05］， and platelet count ［100.00 （69.00 — 120.00）×10⁹/L vs 119.00 （108.50 — 140.50）×10⁹/L， Z=-3.667， P<0.05］. The ROC curve analysis showed that FIB-4， LOK index， LPRI， and AAR used alone had an accuracy of 0.667， 0.681， 0.730， and 0.639， respectively， in the diagnosis of esophageal and gastric varices （all P<0.05）， and the positive diagnostic rates of GOV were 69.97%， 65.28%， 67.33%， and 58.86%， respectively， with no significant differences in AUC values （all P>0.05）， while APRI used alone had no diagnostic value （P>0.05）. A combined model （LAF） was established based on the binary logistic regression analysis and had an AUC of 0.805 and a positive diagnostic rate of GOV of 75.80%， with a significantly higher AUC than FIB-4， LOK index， LPRI， and AAR used alone （Z=-2.773，-2.479，-2.206， and-2.672， all P<0.05）. ConclusionFIB-4， LOK index， LPRI， and AAR have a similar diagnostic value for esophageal and gastric varices in patients with compensated hepatitis B cirrhosis and significant portal hypertension， and APRI alone has no diagnostic value. The combined model LAF had the best diagnostic efficacy， which provides a certain reference for clinical promotion and application.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Objective: To explore the prevalence of screening myopia and depressive symptom among primary and secondary school students in Xuzhou, and to explore the association of sleep and screen time on the coexistence of screening myopia and depressive symptom, so as to provide scientific references for developing intervention strategies to address the development of myopia and promote mental health in children and adolescents. Methods: From September to October 2024, a stratified cluster random sampling method was used to select 6 605 students in grade 4 to 12 in 2 urban and 2 suburban districts in Xuzhou. The students health condition and influencing factors questionnaire were used to assess students basic information, sleep time, and screen time. The Center for Epidemiological Studies Depression Scale (CES-D) was used to assess primary and secondary school students depressive symptom.Unaided distance visual acuity examination was conducted, and refractive assessment was performed using an automated refractometer without cycloplegic agents. The Chi-square test and multiple Logistic regression analysis were used to evaluate the association of sleep and screen time with the coexistence of screening myopia and depressive symptom. Results: The detection rates of screening myopia, depressive symptom, and screening myopia and depressive symptoms co morbidity among primary and secondary school students in Xuzhou were 60.35%, 4.45% and 18.61% respectively. Results from the multinomial Logistic regression analysis, using the healthy group as the reference and after adjusting for confounding factors, showed that students with insufficient sleep duration were more likely to have depressive symptom ( OR=1.57, 95%CI =1.08-2.27) and the coexistence of screening myopia and depressive symptom ( OR=1.85, 95%CI =1.45-2.36). Students with daily screen time≥2 h were more likely to have depressive symptom only ( OR=1.41, 95%CI =1.04-1.93) and the coexistence of screening myopia and depressive symptom ( OR=1.31, 95%CI =1.06-1.61). Further stratified analysis based on sufficient and insufficient sleep duration revealed that only in the insufficient sleep duration group, students with daily screen time≥2 h had an increased risk of depressive symptom only ( OR=1.49, 95%CI =1.07-2.07) and the coexistence of screening positive myopia and depressive symptom ( OR=1.40, 95%CI =1.11- 1.77 ) (all P <0.05). Conclusions Primary and secondary school students with insufficient sleep duration and daily screen time≥2 h have higher risks of depressive symptoms and the coexistence of screening myopia and depressive symptoms. It is recommended to ensure adequate sleep duration and limit screen time for children and adolescents.

G-protein signaling modulator 2 is a member of the GPSM family, with emerging significance in various diseases including Chadley-McCullough syndrome, rheumatoid arthritis, and systemic lupus erythematosus. Furthermore, its involvement extends to tumor pathogenesis, encompassing non-small-cell lung cancer, breast cancer, hepatocellular carcinoma, pancreatic carcinoma, serous ovarian cancer, Ewing's sarcoma, and osteosarcoma, influencing proliferation, invasion, and metastasis. There is no relevant review on the mechanism of GPSM2 in tumor progression. This paper will summarize the research progress on GPSM2 in tumors in recent years, focusing on its role and mechanism, with the aim of providing references and guidance for further research.

Aim To design the pyrimidoindole deriva-tive N-butyl-9H-pyrimido[4,5-b]indole-2-carboxamide(BFPI)and synthesize it to investigate whether it in-hibits macrophage pyroptosis and foaming effects through the NLRP3/Caspase-1 pathway.Methods BFPI was synthesized using 2,4,6-triethoxycarbonyl-l,3,5-triazine and 2-aminoindole as starting materials and structurally characterized by 1H NMR,13C NMR,and ESI-MS.The in vitro cultured mouse monocyte macro-phage cell line RAW264.7 was divided into blank,model(PA)and therapeutic(BFPI)groups,and the cells in each group were treated with the corresponding culture medium for 24 h.The proliferative viability was detected by MTT assay,and the formation of intracel-lular lipid droplets was detected by oil red O staining,and NLRP3 was detected by Western-blot and RT-qPCR,caspase-1 and MCP-1 mRNA and protein ex-pression levels by Western blot and RT-qPCR.Results Compared with the blank group,the proliferation vi-ability of cells in the model group significantly de-creased and the formation of lipid droplets significantly increased;compared with the model group,the prolif-eration viability of cells in the treatment group signifi-cantly increased and the formation of lipid droplets sig-nificantly decreased,and the differences were statisti-cally significant(P＜0.01);compared with the blank group,the cellular NLRP3,caspase-1 and MCP-1 mR-NA and protein expression levels of cells in the model group significantly increased;compared with the model group,the expression levels of the above indexes of the cells in the treatment group significantly decreased,and the difference was statistically significant(P＜0.01).Conclusions BFPI contributes to delaying macrophage-derived foam cell formation during athero-genesis by inhibiting macrophage NLRP3,caspase-1,and MCP-1 expression and thereby promoting their pro-liferation and inhibiting lipid phagocytosis.

Aim To explore the effect of circ_0103552 on the proliferation,migration and invasion of lung cancer A549 cells and its possible mechanism.Meth-ods qRT-PCR was used to detect circ_0103552 and miR-1200 expression in lung cancer tissues and adja-cent tissues.A549 cells were grouped into si-NC,si-circ_0103552,miR-NC,miR-1200,si-circ_0103552+anti-miR-NC,si-circ_0103552+anti-miR-1200 groups.Cell proliferation,clone formation,migration and invasion were detected.The targeting relationship between circ_0103552 and miR-1200 was assessed u-sing the dual luciferase reporter experiment.The ex-pression of E-cadherin and N-cadherin protein was de-tected by Western blot.Results Compared with adja-cent tissues,circ_0103552 expression in lung cancer tissue increased(P＜0.05),while miR-1200 expres-sion decreased(P＜0.05).Circ_0103552 knockdown or miR-1200 overexpression reduced cell viability,N-cadherin,cloning,invasion,and promoted E-cadherin protein(P＜0.05).Circ_0103552 could target miR-1200.Down-regulating miR-1200 could reverse the in-hibitory effect of circ_0103552 knockdown on prolifera-tion,migration and invasion,as well as the promotion effect on cell apoptosis(P＜0.05).Conclusion Circ_0103552 could promote lung cancer cell progres-sion by targeting miR-1200.

Objective:To determine the relative correction factor of pre-vitamin D and simplify the calculation method of vitamin D assay.Methods:By studying the calculation method of vitamin D content in drug standards of various countries,HPLC was used to determine the relative correction factor of pre-vitamin D,and the influencing factors of determination were investigated.Results:The relative correction factors of pre-vitamin D at 254 nm and 265nm wavelength were determined by statistical analysis of 7 laboratories in China.Conclusion:Using the pre-vi-tamin D relative correction factor method to calculate the total amount of vitamin D simplified the experimental steps can be simplified by the pre-vitamin D relative correction factor method to calculate the total amount of vitamin D and the random operating errors can be avoided.The method is rapid and accurate,and lay a solid foundation for further improving the standard of vitamin D preparations.

Serine/arginine-rich splicing factor 6 (SRSF6) is a member of the serine and arginine-rich (SR) protein family,and it plays a crucial regulatory role in RNA splicing.Dysregulation of SRSF6 ex-pression or function can lead to aberrant alternative splicing of certain genes,and contribute to the devel-opment and progression of inflammatory diseases,including tumors,diabetes,and pleural fibrosis.How-ever,the role of SRSF6 in inflammation remains unclear.In this study,we found that the expression of inflammatory factors,including tumor necrosis factor-α(TNF-α) and cyclooxygenase-2 (COX-2),was induced by lipopolysaccharides (LPS) .Concurrently,both the levels of SRSF6 mRNA and protein ex-pression significantly increased with prolonged LPS stimulation (P<0.05) .Furthermore,we investigated the change of SRSF6 expression on the expression of inflammatory factors.The results showed that upreg-ulation of SRSF6 enhanced the expression of LPS-induced inflammatory factors (P<0.05),while down-regulation of SRSF6 inhibited their expression (P<0.05) .Additionally,the activation of the nuclear fac-tor-κB (NF-κB) and mitogen-activated protein kinase (MAPK) signaling pathways was suppressed by SRSF6 knockdown (P<0.05),indicating that SRSF6 is involved in regulating inflammatory responses in macrophages.Myeloid differentiation factor 88 (MyD88) is a key adaptor protein in the TLR4 signaling pathway,with its splicing isoforms MyD88-L and MyD88-S exerting pro-inflammatory and anti-inflamma-tory effects,respectively.Analysis of RNA-binding protein database and RNA immunoprecipitation showed that SRSF6 binds to MyD88 mRNA.Splicing analysis indicated that downregulation of SRSF6 promoted the expression of the anti-inflammatory MyD88-S mRNA isoform (P<0.01) .Moreover,knock-down of MyD88-S could rescue the expression of inflammatory factors suppressed by SRSF6 downregula-tion.These findings suggest that SRSF6 regulates MyD88 alternative splicing in macrophages,thereby af-fecting the activation of inflammatory signaling pathways and the expression of inflammatory factors.This study provides a foundation for further elucidating the role of SRSF6 in inflammatory diseases.