Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

Objective:This study aims to evaluate the performance of digital PCR (dPCR) detecting multiple and single copies genes of the Epstein-Barr virus (EBV) for nucleic acid quantification and explore their applicability in clinical settings.Methods:Compared the sensitivity, specificity, precision, lower limit of detection (LoD), and linearity for multicopy BamHI-W dPCR and single-copy EBNA1 dPCR systems. Linear regression analysis using the least squares method was employed to evaluate the linearity. Additionally, we analyzed plasma samples from 182 patients with suspected EBV-related diseases between January and July 2022 at the Southern Medical University Southern Hospital, using both dPCR and quantitative PCR (qPCR) for EBV DNA quantification. Linear regression analysis using the least squares method was conducted to assess their quantitative correlation.Results:The dPCR systems for both multicopy and single-copy genes showed excellent linearity ( R 2 values of 0.992 and 0.997, respectively, both P<0.001). The LoD were 188 IU/ml for BamHI-W gene and 358 IU/ml for EBNA1 gene dPCR systems. The logarithmic coefficient of variation ( CV) values for high-concentration samples (1 000 000 IU/ml) were 0.34% and 0.21% for the BamHI-W gene and EBNA1 gene dPCR assays, respectively, while for low-concentration samples (5 000 IU/ml) were 0.98% and 0.64%, respectively. In the detection of seven common clinical infectious pathogens and EBV positive samples, only EBV-positive samples yielded positive signals in the dPCR detection system, with no cross-reaction with other pathogens. In 182 samples, the positive detection rates were 47.80% (87/182) for BamHI-W gene and 35.16% (64/182) for EBNA1 gene dPCR, compared to 43.41% (79/182) for qPCR. Linear correlation analysis with qPCR showed R2 values of 0.837 for BamHI-W gene and 0.763 for EBNA1 gene dPCR (both P<0.001). The BamHI-W gene copy number ranged from 3 to 18 copies per clinical sample, with patient-specific variations. There was a high consistency in viral load trends between the multicopy BamHI-W gene and single-copy EBNA1 gene dPCR systems within individual patients. Conclusions:The dPCR methods detecting EBV multiple and single copies genes showed high sensitivity, specificity, precision, and quantitative accuracy, suitable for clinical sample analysis. The multicopy BamHI-W gene dPCR method notably enhances detection sensitivity and can be used as a supplement to current EBV DNA load detection methods, especially in low-concentration samples. For within-patient EBV DNA monitoring, the multicopy gene method proves more effective, while inter-patient comparisons might necessitate single-copy gene methods or normalize them using the same standard.

Objective To evaluate feasibility of early skeletal muscle injury by using shear wave elastography.Methods Sixty patients with unilateral knee osteoarthritis treated in Department of Orthopedics of People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine from May 2020 to January 2021 were selected as the research subjects.Conventional scanning and shear wave elastography techniques were applied to investigate affected and healthy knees.Measurement included cartilage morphology,thickness and damage,joint cavity effusion,synovial membrane thickness,ligament morphology,meniscus protrusion degree,and detection of shear wave values in attachment area of quadriceps tendon on patella.Thickness and shear wave values of tendons in different observation areas on affected side and healthy side were compared.Affected knee joint was assigned a value based on the ultrasound characteristics,and Spearman correlation was used to analyze correlation between ultrasound score and shear wave value.Results Among 60 patients,fifty-six cases(56/60,93.3%)of cartilage injury in knee joint,30 cases(30/60,50.0%)of synovial hyperplasia in knee joint,35 cases(35/60,53.3%)of medial meniscus extrusion in knee joint,57 cases(57/60,95.0%)of effusion in knee joint cavity,21 cases(21/60,35%)of osteophyte formation in knee joint,and zero case of popliteal cyst in knee joint.There were 34 cases with ultrasound score less than three points,26 cases with score three to seven points,and zero case with score more than seven points.Shear wave value of the tendon in affected lateral area was significantly greater than that in affected medial area(P<0.01).Shear wave value of tendon in healthy medial area was significantly higher than that in affected medial area(P<0.01).Shear wave value of quadriceps tendon decreases with increase of ultrasound score,showed a high correlation(r=0.955,P<0.01).Conclusion Shear wave elastography is a non-invasive and relatively easy-to-operate method for evaluating muscle injury,which is highly correlated with severity of knee osteoarthritis,can help detect early strain points,providing possibilities for grading and diagnosis of knee osteoarthritis.

Objective To explore and analyse the signals of adverse events of esketamine,and to provide references for rational clinical use of the drug.Methods The adverse event reports of esketamine from the first quarter of 2019 to the fourth quarter of 2023 in the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database were collected.The reporting odds ratio(ROR)method and information component(IC)method in the disproportionality analysis and random forest(RF)algorithm,K-nearest neighbor algorithm and extreme gradient boosting(XGBoost)algorithm in machine learning algorithms were used for signal mining of target medicines respectively.The accuracy of machine learning signal detection results was assessed by the area under the curve(AUC).Results A total of 5 247 adverse event records with esketamine as the primary suspect drug were obtained.Using the traditional detection measures of dis-proportionality,138 positive signal results were detected,6 new adverse events including anticholinergic syndrome,urinary incontinence,double vision,pyelonephritis,spontaneous pneumothorax,biliary obstruction,were not included in the FDA drug inserts,and it was found that the drug may be more likely to cause cardiovascular problems.The results of the machine learning training showed that XGBoost algorithm and RF algorithm performed moderately well,with AUC means of 0.928 and 0.921,respectively.A total of 4 new potential adverse drug event signals,diplopia,deterioration of general physical health,suicidal ideation and withdrawal syndrome were detected by XGBoost algorithm and RF algorithm.Conclusion Esketamine is accompanied by some unknown risks while obtaining significant efficacy and adverse events not mentioned in the specification may occur in clinical practice.Healthcare professionals should be fully alert to the relevant adverse events when applying them in clinical treatment and take timely measures to ensure the safety of the treatment.

Skeletal muscle wasting refers to a loss of skeletal muscle mass and function.Mitochondrial quality control(MQC)is the basis by which normal physiological mitochondrial function is maintained and mainly involves the regulation of mitochondrial biogenesis,mitochondrial dynamics(fission/fusion),and mitophagy.MQC maintains muscle homeostasis by regulating the relative stability of mitochondrial shape,quantity,and quality.As an economical and effective treatment for muscular atrophy,exercise interventions are widely used,but the relationship between exercise intervention and MQC is not clear.This paper discusses the role of mitochondrial biogenesis,mitochondrial dynamics,and mitophagy in skeletal muscle atrophy and related molecular targets.We thoroughly analyze the mechanisms by which MQC-mediated exercise can improve the skeletal muscle atrophy caused by aging,disuse,and cancer cachexia in order to provide theoretical guidance for intervention.

Objective:To explore the correlation between serum 1, 5-anhydroglucitol (1, 5-AG) and mild cognitive impairment (MCI) in elderly patients with type 2 diabetes mellitus (T2DM).Methods:A total of 160 patients with T2DM aged 60-75 years old who visited the First Hospital of Hebei Medical University from May 2021 to July 2022 were selected. According to the Montreal cognitive assessment (MoCA), all patients were divided into T2DM with MCI group (T2DM+ MCI group, n=81) and T2DM without MCI group (T2DM group, n=79). All research subjects were tested for glycated hemoglobin A1c (HbA1c), serum 1, 5-AG, serum β-amyloid peptide 42 (Aβ42), and blood biochemical indicators.SPSS 25.0 statistical software was used for data analysis. The t test, Mann-Whitney U test and χ2 test were used to compare the two groups. Binary Logistic regression analysis was used to examine the relevant influencing factors. Results:(1) Compared with T2DM group, patients in T2DM+ MCI group had significantly higher age, systolic pressure and HbA1c(all P<0.05).The level of 1, 5-AG in T2DM+ MCI group was significantly lower than that in T2DM group( (15.65±2.56 )μg/mL, (18.17±3.72 )μg/mL, P<0.01), and the level of Aβ42 was higher than that of T2DM group (2.95 (3.36) pg/mL, 1.91 (2.48) pg/mL, P<0.05). (2) Binary Logistic regression analysis results showed that HbA1c( β=0.230, OR=1.259, 95% CI=1.010-1.568, P=0.040) and Aβ42( β=0.188, OR=1.206, 95% CI=1.033-1.409, P=0.018) were the independent risk factors for MCI in elderly patients with T2DM, while 1, 5-AG ( β=-0.240, OR=0.786, 95% CI=0.698-0.886, P<0.001) was the protective factor for MCI. Conclusion:There is a positive correlation between serum 1, 5-AG and cognitive function, and the decrease of 1, 5-AG level was associated with the increased risk of MCI in elderly patients with T2DM.

To design an electronic sleep massager that can perform massage and sleep aid at the same time.It is powered by a 9 V battery,and a multivibrator is composed of a 555 timer as the core to generate an oscillation signal.The 0～180 V continuously adjustable electrical pulse was output to the massage electrode through the step-up transformer,and the low-frequency sound signal was output through the speaker to achieve massage and sleep assistance.The electronic sleep massager has simple design and excellent performance,and uses sound hypnosis and acupressure massage at the same time,which can achieve relatively good hypnosis and fatigue relief effects,and is a small electronic health care product suitable for home use,and has certain promotion and application value.

Hip fracture in the elderly is characterized by high incidence, high disability rate, and high mortality and has been recognized as a public health issue threatening their health. Surgery is the preferred choice for the treatment of elderly patients with hip fracture. However, lower extremity deep venous thrombosis (DVT) has an extremely high incidence rate during the perioperative period, and may significantly increase the risk of patients′ death once it progresses to pulmonary embolism. In response to this issue, the clinical guidelines and expert consensuses all emphasize active application of comprehensive preventive measures, including basic prevention, physical prevention, and pharmacological prevention. In this prevention system, basic prevention is the basis of physical and pharmacological prevention. However,there is a lack of unified and definite recommendations for basic preventive measures in clinical practice. To this end, the Orthopedic Nursing Professional Committee of the Chinese Nursing Association and Nursing Department of the Orthopedic Branch of the China International Exchange and Promotive Association for Medical and Health Care organized relevant nursing experts to formulate Expert consensus on perioperative basic prevention for lower extremity deep venous thrombosis in elderly patients with hip fracture ( version 2024) . A total of 10 recommendations were proposed, aiming to standardize the basic preventive measures for lower extremity DVT in elderly patients with hip fractures during the perioperative period and promote their subsequent rehabilitation.

Objective:To construct a predictive model of radiomics based on laparoscopic grayscale ultrasound features and investigate its value in predicting microvascular invasion (MVI) of hepatocellular carcinoma (HCC) during laparoscopic liver resection.Methods:A total of 74 patients (74 lesions)with HCC confirmed by postoperative pathology, who underwent a laparoscopic ultrasonography during laparoscopic hepatectomy were prospectively enrolled in Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology from March 2022 to August 2023. The general clinical information of the patients was recorded, and the features were extracted and screened from tumor regions in gray-scale ultrasound images, and eventually the radiomics prediction models were constructed, respectively. Pathological results were used as gold standard to compare the effectiveness of different models in predicting MVI.Results:In the 74 HCC lesions, 12 lesions were MVI positive.The MVI imaging prediction model of HCC lesions was constructed from the screened clinical features, laparoscopic gray scale ultrasound image features, as well as combined screened clinical features, respectively. The obtained data sets were randomly divided into 5 parts (4 parts with 15 lesions, 1 part with 14 lesions), and the effectiveness of the model was trained and tested by the method of 5 folds interaction validation. The performance of support vector machine(SVM) radiomics model based on the characteristics of laparoscopic gray scale ultrasound in predicting the MVI of HCC was the best. Compared with clinical model and combined Adaboost model, the SVM, radiomics model had higher area under ROC curve (0.836 vs 0.696, 0.804), accuracy (0.852 vs 0.687, 0.838), sensitivity (0.900 vs 0.900, 0.833) and specificity (0.837 vs 0.644, 0.838). Conclusions:The radiomics model based on the characteristics of laparoscopic gray-scale ultrasound is an innovative potential approach to predict the MVI status of HCC lesions during laparoscopic hepatectomy.