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.

The chemical composition of Paeoniae Radix Alba(PRA) is complex, with primary secondary metabolites including monoterpenoids, tannins, triterpenoids, and flavonoids. In previous studies on the material basis of PRA, it was found that, in addition to the widely studied characteristic monoterpene glycosides, tannic acid components also play an important role in the efficacy of PRA. However, their pharmacological effects have not been thoroughly investigated. This paper reviews the tannic acid components in PRA, including pentagaloyl glucose(PGG), tetragaloyl glucose(TGG), trigaloyl glucose(TriGG), and gallic acid, along with their structures, properties, and characteristics to provide a detailed discussion of their pharmacological activities and related mechanisms, aiming to offer a theoretical basis for the material basis research and clinical application of PRA.
Paeonia/chemistry* ; Tannins/chemistry* ; Humans ; Drugs, Chinese Herbal/chemistry* ; Animals ; Plant Extracts

Stress is a critical inducer in the onset and progression of many chronic diseases. Prolonged or intense stress can disrupt the overall balance between the nervous, immune, and endocrine systems. The resulting biological signals may act on corresponding receptors in the cervical spine region, leading to adverse pathological changes. The vertebral artery and the surrounding muscular and connective tissues are influenced by biomechanical abnormalities and inflammatory cascades associated with cervical spondylosis of vertebral artery type (CSA), which promotes the release of various hormones. These hormones, through the neuroendocrine-immune system, affect the central nervous system, inducing or exacerbating negative emotional feedback and thereby establishing a "central-local-central" vicious cycle. This article explores the mechanisms underlying the impact of stress on the key CSA symptoms through the neuroendocrine-immune network (NEI) theory, providing a more comprehensive framework for targeted therapeutic interventions in CSA.
Humans ; Neurosecretory Systems/immunology* ; Spondylosis/etiology* ; Vertebral Artery/immunology* ; Stress, Psychological/complications* ; Chronic Disease

"Weibing" is a fundamental concept in traditional Chinese medicine (TCM), representing a transitional state characterized by diminished self-regulatory abilities without overt physiological or social dysfunction. This perspective delves into the biological foundations and quantifiable markers of Weibing, aiming to establish a research framework for early disease intervention. Here, we propose the "Health Quadrant Classification" system, which divides the state of human body into health, sub-health, disease-susceptible state, and disease. We suggest the disease-susceptible stage emerges as a pivotal point for TCM interventions. To understand the intrinsic dynamics of this state, we propose laboratory and clinical studies utilizing time-series experiments and stress-induced disease susceptibility models. At the molecular level, bio-omics technologies and bioinformatics approaches are highlighted for uncovering intricate changes during disease progression. Furthermore, we discuss the application of mathematical models and artificial intelligence in developing early warning systems to anticipate and avert the transition from health to disease. This approach resonates with TCM's preventive philosophy, emphasizing proactive health maintenance and disease prevention. Ultimately, our perspective underscores the significance of integrating modern scientific methodologies with TCM principles to propel Weibing research and early intervention strategies forward.

OBJECTIVE: Hepatocellular carcinoma (HCC) is sensitive to ferroptosis, a new form of programmed cell death that occurs in most tumor types. However, the mechanism through which ferroptosis modulates HCC remains unclear. This study aimed to investigate the oncogenic role and prognostic value of FANCD2 and provide novel insights into the prognostic assessment and prediction of immunotherapy. METHODS: Using clinicopathological parameters and bioinformatic techniques, we comprehensively examined the expression of FANCD2 macroscopically and microcosmically. We conducted univariate and multivariate Cox regression analyses to identify the prognostic value of FANCD2 in HCC and elucidated the detailed molecular mechanisms underlying the involvement of FANCD2 in oncogenesis by promoting iron-related death. RESULTS: FANCD2 was significantly upregulated in digestive system cancers with abundant immune infiltration. As an independent risk factor for HCC, a high FANCD2 expression level was associated with poor clinical outcomes and response to immune checkpoint blockade. Gene set enrichment analysis revealed that FANCD2 was mainly involved in the cell cycle and CYP450 metabolism. CONCLUSION To the best of our knowledge, this is the first study to comprehensively elucidate the oncogenic role of FANCD2. FANCD2 has a tumor-promoting aspect in the digestive system and acts as an independent risk factor in HCC; hence, it has recognized value for predicting tumor aggressiveness and prognosis and may be a potential biomarker for poor responsiveness to immunotherapy.
Humans ; Carcinoma, Hepatocellular/diagnosis* ; Liver Neoplasms/diagnosis* ; Immunotherapy ; Fanconi Anemia Complementation Group D2 Protein/metabolism* ; Prognosis ; Male ; Female ; Middle Aged ; Biomarkers, Tumor/metabolism*

Objective To explore characteristics of clinical parameters and cytokines in patients with drug-induced liver injury(DILI)caused by different drugs and their correlation with clinical indicators. Method The study was conducted on patients who were up to Review of Uncertainties in Confidence Assessment for Medical Tests(RUCAM)scoring criteria and clinically diagnosed with DILI.Based on Chinese herbal medicine,cardiovascular drugs,non-steroidal anti-inflammatory drugs(NSAIDs),anti-infective drugs,and other drugs,patients were divided into five groups.Cytokines were measured by Luminex technology.Baseline characteristics of clinical biochemical indicators and cytokines in DILI patients and their correlation were analyzed. Results 73 patients were enrolled.Age among five groups was statistically different(P=0.032).Alanine aminotransferase(ALT)(P=0.033)and aspartate aminotransferase(AST)(P=0.007)in NSAIDs group were higher than those in chinese herbal medicine group.Interleukin-6(IL-6)and tumor necrosis factor alpha(TNF-α)in patients with Chinese herbal medicine(IL-6:P<0.001;TNF-α:P<0.001)and cardiovascular medicine(IL-6:P=0.020;TNF-α:P=0.001)were lower than those in NSAIDs group.There was a positive correlation between ALT(r=0.697,P=0.025),AST(r=0.721,P=0.019),and IL-6 in NSAIDs group. Conclusion Older age may be more prone to DILI.Patients with NSAIDs have more severe liver damage in early stages of DILI,TNF-α and IL-6 may partake the inflammatory process of DILI.

Objective To determine the scores of patients with a confirmed diagnosis of drug-induced liver injury(DILI)using Roussel Uclaf Causality Assessment Method(RUCAM),Maria&Victorino assessment scale,and Revised Electronic Causality Assessment Method(RECAM),to compare the accuracy of the three scales in diagnosis,and to investigate their clinical significance in the diagnosis of DILI.Methods A total of 98 patients with a confirmed diagnosis of DILI who were hospitalized in Peking University First Hospital from January 2011 to December 2022 were enrolled,with liver biopsy results supporting DILI and a clear history of medication.Clinical data were collected from all subjects,and the above causality assessment scales were used for scoring.The chi-square test was used to analyze the diagnostic accuracy of the causality assessment scales,and the weighted kappa coefficient was used to analyze the consistency between the three scales.Results For all patients with DILI enrolled,RECAM had the highest accuracy,with a significant difference compared with RUCAM(χ2=5.667,P=0.017).RUCAM and RECAM had moderate consistency in diagnosis(κw=0.469),while RECAM and Maria&Victorino scale had poor consistency(κw=0.156).For the patients with acute DILI,RECAM,RUCAM,and Maria&Victorino scales had a diagnostic inconsistency rate of 3.7%,11.1%,and 42.6%,respectively;for the patients with hepatocellular type DILI,the three scales of a diagnostic inconsistency rate of 8.9%,21.4%,and 62.5%,respectively;for the patients with cholestasis type or mixed type DILI,the three scales of a diagnostic inconsistency rate of 10.0%,22.5%,and 47.5%,respectively.Conclusion The use of RECAM and RUCAM scales in acute DILI can improve diagnostic rate,and for hepatocellular type DILI and DILI with the clinical manifestation of cholestasis(cholestasis type DILI and mixed type DILI),the use of RECAM and RUCAM scales can also improve diagnostic rate.The selection of causality assessment scales with a relatively high accuracy based on the course and clinical classification of the disease may help to further improve clinical diagnostic rate.

Traumatic fractures and stress fractures are common orthopedic diseases,and there is great potential in researching bone turnover,repair,and promotion of fracture healing.Basic medical experiments often use animal models of long bone fractures in limbs to study the mechanisms of various interventions on fracture healing.Fracture healing is a complex process influenced by multiple factors and involves multiple molecules and pathways.Therefore,to explore the mechanisms more deeply,accelerate the translation of results,and improve the clinical efficacy,it is particularly important to choose the appropriate animal fracture modeling methods in experimental research.Based on this,this paper conducts a literature review of animal species and modeling methods commonly used for long bone fracture models in experimental research.It summarizes five methods:bone defect method,physical impact method,mechanical bending method,open osteotomy method,and drilling method.A side-by-side comparison of their advantages,disadvantages,and scope of application is made,aiming to provide suitable fracture models for studyingthe mechanisms of fracture healing interventions.

Objective To investigate the relationship of miRNA gene polymorphisms with blood pressure(BP)responses to the sodium and potassium diet intervention.Methods In 2004,we recruited 514 participants from 124 families in seven villages of Baoji,Shaanxi Province,China.All subjects were given a three-day normal diet,followed by a seven-day low-salt diet,a seven-day high-salt diet,and finally a seven-day high-salt and potassium supplementation.A total of 19 miRNA single nucleotide polymorphisms(SNPs)were selected for analysis.Results Throughout the sodium-potassium dietary intervention,the BP of the subjects fluctuated across all phases,showing a decrease during the low-salt period and an increase during the high-salt period,followed by a reduction in BP subsequent to potassium supplementation during the high-salt diet.MiR-210-3p SNP rs 12364149 was significantly associated with systolic BP(SBP),diastolic BP(DBP)and mean arterial pressure(MAP)responses to low-salt diet.MiR-4638-3p SNP rs6601178 was significantly associated with SBP while miR-26b-3p SNP rs115254818 was significantly associated with MAP responses to low-salt intervention.In addition,miR-26b-3p SNP rs115254818 was significantly correlated with SBP,DBP and MAP responses to high-salt intervention.MiR-1307-5p SNPs rs1 1191676 and rs2292807 were associated with SBP and MAP responses to high-salt diet.MiR-4638-3p SNP rs6601178,miR-210-3p SNP rs12364149,miR-382-5p SNP rs4906032 and rs4143957 were significantly associated with SBP response to high-salt diet.In addition,miR-26b-3p SNP rs115254818 was significantly associated with SBP,DBP and MAP responses to potassium supplementation.MiR-1307-5p SNPs rs11191676,rs2292807,and miR-19a-3p SNP rs4284505 were significantly associated with SBP responses to high-salt and potassium supplementation.Conclusion miRNA gene polymorphisms are associated with BP response to sodium and potassium,suggesting that miRNA genes may be involved in the pathophysiological process of salt sensitivity and potassium sensitivity.

Background and objective Metabolic change is one of the important characteristics of radiation pneu-monitis.Radiotherapy,as a conventional method for the treatment of thoracic tumors,can not only effectively kill tumor cells,but also cause adverse reactions such as local inflammation and fibrosis,which leads to limited therapeutic effect and profound impact on the quality of life of patients.Therefore,it is of great significance to explore the metabolic changes caused by radio-therapy.The aim of this study was to investigate the effects of X-ray irradiation on the metabolism of a mouse lung epithelial cell line(murine lung epithelial-12,MLE12).Methods MLE12 cells were cultured in vitro and randomly divided into radiation group(IR)and control group(NC).Cells in the IR group were irradiated at a dose of 10 Gy using a Hitachi X-ray irradiator.Cell supernatant samples were collected at 48 h after irradiation.Metabolomic analysis of the samples was performed by liq-uid chromatograph mass spectrometer(LC/MS).Results LC/MS metabolomics analysis revealed the metabolic changes of MLE12 cells at 48 h after irradiation.A total of 38 secretory metabolites were altered in the IR group compared with the NC group.According to the annotation of Kyoto Encyclopedia of Genes and Genomes(KEGG)database,the differential metabo-lites are mainly involved in nucleotide metabolism,amino acid metabolism and lipid metabolism,among which the difference in nucleotide metabolism is the most significant.Conclusion The metabolism ofMLE12 cells was significantly affected by X-ray irradiation,mainly affecting the nucleotide metabolic pathways,including purine and pyrimidine metabolites and related meta-bolic pathways.