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.

Atypical lipomatous tumor(ALT)is a rare soft tissue sarcoma originating from adipocytic tissue.The clinical manifestations,imaging findings,and pathological examinations of one patient with ALT in the lower extremity were reported to provide reference for the clinical diagnosis and treatment of this disease.The patient was a 64-year-old male who was admitted due to a mass in the left thigh with swelling and pain for 5 years.The physical examination results showed a subcutaneous mass was palpable on the medial side of the left thigh,soft in texture,demonstrating good mobility and positive tenderness.The magnetic resonance imaging(MRI)non-contrast scan showed a well-defined lesion with an intact capsule.The lesion presented high signal intensity on T1-weighted image(T1WI),similar to subcutaneous fat signal;on T2-weighted image(T2WI)-Ideal in-phase images,the lesion showed high signal,while water images showed low signal,with multiple high-signal foci inside.On T2WI fat-suppression sequence,a low-signal mass was observed with multiple patchy high signals inside.Three days after admission,the patient underwent lesion resection.Intraoperatively,the tumor was located within the fascia,between the medial quadriceps muscles,presenting as lipomatous tissue with an intact capsule,mildly adherent to surrounding tissue,and with partial muscle invasion.The mass and invaded muscle were completely excised.The postoperative pathological examination results revealed a gray-yellow nodule measuring 16.0 cm.× 10.0 cm×4.0 cm,with a smooth surface and intact capsule.The cut surface was gray-yellow,fatty-like,and soft in texture.Additional gray-yellow tissue fragments were found,with a total volume of 5.0 cm×4.0 cm×1.2 cm,exhibiting a gray-brown cut surface with moderate texture.Under microscope,the lesion consisted mainly of relatively mature adipose tissue.Enlarged and hyperchromatic nuclei were observed,with scattered mononuclear or multinuclear atypical stromal cells.Fibrous septa contained variable numbers of univacuolated or multivacuolated lipoblasts.The immunohistochemistry results showed positivity for cyclin-dependent kinase 4(CDK4)and murine double minute 2(MDM2).The fluorescence in situ hybridization(FISH)results demonstrated MDM2 gene amplification in tumor cells.The pathological diagnosis was ALT of the left lower extremity.At 6-month follow-up after operation,no tumor recurrence was observed.The preoperative MRI detection may provide effective evidence for the diagnosis of ALT,while postoperative pathological examination can confirm the diagnosis and help evaluate the prognosis of the patients.

The paper reports a 32-year-old female acute myeloid leukemia patient who developed graft-versus-host disease after paternal hematopoietic stem cell transplantation, which subsequently led to renal thrombotic microangiopathy. She subsequently required a kidney transplant from the same donor 5 years later due to renal failure. Considering that both the bone marrow and kidney were from the same donor and the recovery of renal function was favorable, immunosuppressive therapy was discontinued after a short course of anti-rejection treatment, with maintained stable kidney function. This case suggests that under the condition of high chimerism, allogeneic hematopoietic stem cell transplantation and kidney transplantation from the same donor can achieve immune tolerance, potentially improving solid organ transplantation success rate. The findings provide a novel therapeutic approach for solid organ transplantation following allogeneic hematopoietic stem cell transplantation.

Purpose To explore the diagnostic efficacy of texture analysis in grading multiple ligament injuries of the knee Joint.Materials and Methods MRI images of 203 patients with knee injuries in the Second Affiliated Hospital of Shantou University School of Medicine from June 2018 to September 2020 were retrospectively collected,and then graded the injuries of multiple ligaments.Extraction of texture features and discriminant analysis were accomplished by MaZda software.Spearman correlation analysis and LASSO penalized Logistic regression analysis were used to further explore the differential diagnostic efficacy of each texture parameter for grading knee ligament injuries.Results(1)MaZda software was found to have the highest diagnostic efficacy for patellar ligament injury grading by using different texture feature screening methods in combination with discriminant analysis.Non-linear discriminant analysis had the lowest misclassification rate of 4.43%.(2)The texture parameters that were ultimately included in the analysis of the subjects'work characteristic curves appeared more frequently in the gray level co-occurrence matrix and the run length matrix.(3)The area under the curve of the texture parameters finally included in the analysis were 0.870-0.975,0.772-0.912,0.836-0.929 and 0.766-0.920,respectively in patellar ligament,anterior cruciate ligament,posterior cruciate ligament and lateral collateral ligament for the diagnosis of knee ligament injury grading.The diagnostic efficacy for patellar ligament injury grading was the highest,which was consistent with the lowest misclassification rate for patellar ligament in the discriminant analysis of texture features.And the texture parameters ultimately included in patellar ligament were all highly correlated with its injury grading.Conclusion The texture analysis technique has high diagnostic efficacy for grading knee ligament injuries,and can provide a more accurate diagnostic imaging basis for the clinic.

Purpose To explore the diagnostic efficacy of texture analysis in grading multiple ligament injuries of the knee Joint.Materials and Methods MRI images of 203 patients with knee injuries in the Second Affiliated Hospital of Shantou University School of Medicine from June 2018 to September 2020 were retrospectively collected,and then graded the injuries of multiple ligaments.Extraction of texture features and discriminant analysis were accomplished by MaZda software.Spearman correlation analysis and LASSO penalized Logistic regression analysis were used to further explore the differential diagnostic efficacy of each texture parameter for grading knee ligament injuries.Results(1)MaZda software was found to have the highest diagnostic efficacy for patellar ligament injury grading by using different texture feature screening methods in combination with discriminant analysis.Non-linear discriminant analysis had the lowest misclassification rate of 4.43%.(2)The texture parameters that were ultimately included in the analysis of the subjects'work characteristic curves appeared more frequently in the gray level co-occurrence matrix and the run length matrix.(3)The area under the curve of the texture parameters finally included in the analysis were 0.870-0.975,0.772-0.912,0.836-0.929 and 0.766-0.920,respectively in patellar ligament,anterior cruciate ligament,posterior cruciate ligament and lateral collateral ligament for the diagnosis of knee ligament injury grading.The diagnostic efficacy for patellar ligament injury grading was the highest,which was consistent with the lowest misclassification rate for patellar ligament in the discriminant analysis of texture features.And the texture parameters ultimately included in patellar ligament were all highly correlated with its injury grading.Conclusion The texture analysis technique has high diagnostic efficacy for grading knee ligament injuries,and can provide a more accurate diagnostic imaging basis for the clinic.

The paper reports a 32-year-old female acute myeloid leukemia patient who developed graft-versus-host disease after paternal hematopoietic stem cell transplantation, which subsequently led to renal thrombotic microangiopathy. She subsequently required a kidney transplant from the same donor 5 years later due to renal failure. Considering that both the bone marrow and kidney were from the same donor and the recovery of renal function was favorable, immunosuppressive therapy was discontinued after a short course of anti-rejection treatment, with maintained stable kidney function. This case suggests that under the condition of high chimerism, allogeneic hematopoietic stem cell transplantation and kidney transplantation from the same donor can achieve immune tolerance, potentially improving solid organ transplantation success rate. The findings provide a novel therapeutic approach for solid organ transplantation following allogeneic hematopoietic stem cell transplantation.

OBJECTIVE To study the effects of transferrin-targeting peptide T7 （7pep） on intracellular transportation of polyethylene glycol-polycaprolactone （PEG-PCL） micelles in human cervical cancer HeLa cells. METHODS Using coumarin-6 （C6） as fluorescent indicator probe， both coumarin-6 （C6）-loaded PEG-PCL （PEG-PCL-C6） micelles and 7pep-modified PEG- PCL （7pep-PEG-PCL-C6） micelles were prepared by film-dispersion method. The particle size， polydispersity index and appearance morphology were compared between two types of micelles； the real-time uptake of two types of micelles by HeLa cells was compared， and the colocalization of two types of micelles with early endosomes （EE）， endocytic recycling compartments （ERC） and late endosomes （LE） after entry into the cells was observed. RESULTS The particle sizes of PEG-PCL-C6 and 7pep-PEG-PCL- C6 micelles were（75.0±2.3）and（82.0±1.5）nm； the polymer dispersity indexes were 0.17±0.20 and 0.17±0.32， respectively， with a regular spherical appearance. The colocalization results showed that entry speed and amount of 7pep-PEG-PCL-C6 micelles were significantly faster/more than those of PEG-PCL-C6 micelles. 7pep-PEG-PCL-C6 micelles entered EE faster than PEG-PCL-C6 micelles， while PEG-PCL-C6 micelles entered ERC at a faster rate than 7pep-PEG-PCL-C6 micelles， and both PEG-PCL-C6 micelles and 7pep-PEG-PCL-C6 micelles tended to accumulate gradually in LE； Pearson coefficient， signal overlap ratio， and colocalization ratio of 7pep-PEG-PCL-C6 micelles with LE were significantly lower 60 minutes after entering the cell than those 30 minutes after entering the cell （P＜0.05 or P＜0.01）. CONCLUSIONS Targeting 7pep modification can increase the entry speed and amount of PEG-PCL-C6 micelles， and also alter their intracellular transportation behavior.

OBJECTIVE: Anemoside B4 (AB4), the most abundant triterpenoidal saponin isolated from Pulsatilla chinensis, inhibited influenza virus FM1 or Klebsiella pneumoniae-induced pneumonia. However, the anti-SARS-CoV-2 effect of AB4 has not been unraveled. Therefore, this study aimed to determine the antiviral activity and potential mechanism of AB4 in inhibiting human coronavirus SARS-CoV-2 in vivo and in vitro. METHODS: The cytotoxicity of AB4 was evaluated using the Cell Counting Kit-8 (CCK8) assay. SARS-CoV-2 infected HEK293T, HPAEpiC, and Vero E6 cells were used for in vitro assays. The antiviral effect of AB4 in vivo was evaluated by SARS-CoV-2-infected hACE2-IRES-luc transgenic mouse model. Furthermore, label-free quantitative proteomics and bioinformatic analysis were performed to explore the potential antiviral mechanism of action of AB4. Type I IFN signaling-associated proteins were assessed using Western blotting or immumohistochemical staining. RESULTS: The data showed that AB4 reduced the propagation of SARS-CoV-2 along with the decreased Nucleocapsid protein (N), Spike protein (S), and 3C-like protease (3CLpro) in HEK293T cells. In vivo antiviral activity data revealed that AB4 inhibited viral replication and relieved pneumonia in a SARS-CoV-2 infected mouse model. We further disclosed that the antiviral activity of AB4 was associated with the enhanced interferon (IFN)-β response via the activation of retinoic acid-inducible gene I (RIG-1) like receptor (RLP) pathways. Additionally, label-free quantitative proteomic analyses discovered that 17 proteins were significantly altered by AB4 in the SARS-CoV-2 coronavirus infections cells. These proteins mainly clustered in RNA metabolism. CONCLUSION Our results indicated that AB4 inhibited SARS-CoV-2 replication through the RLR pathways and moderated the RNA metabolism, suggesting that it would be a potential lead compound for the development of anti-SARS-CoV-2 drugs.

Objective:To investigate the correlation of the emm genotypes and virulence genes with the isolation sites of Group A Streptococcus (GAS). Methods:It was a retrospective study.The specimens were collected from children with impetigo in Beijing Children′s Hospital, Capital Medical University from 2006 to 2008 for GAS isolation and identification.A total of 24 GAS strains were isolated from 16 children with impetigo, among which 7 pairs of strains were isolated from the throat and skin of 7 children, and 1 pair of strains was isolated from the vulva and skin of one child, and the remaining 8 GAS strains were isolated from the skin pus samples of 8 children.Polymerase chain reaction was applied to detect the emm genotypes and 13 virulence genes ( speA, speB, speC, speF, speG, speH, speI, speJ, speK, speL, speM, smeZ and ssa). The correlation of the emm genotypes and virulence genes with the isolation sites of GAS strains was analyzed. Results:In this study, four emm genotypes were detected, including emm1.0 (15/24), emm12.0 (4/24), emm22.0 (2/24) and emm160.0 (1/24), and one subtype emm12.19 (2/24) was detected as well.The carrying rates of 13 virulence genes speA, speB, speC, speF, speG, speH, speI, speJ, speK, speL, speM, smeZ and ssa were 58.3%, 100%, 91.7%, 100%, 50.0%, 12.5%, 54.2%, 66.7%, 16.7%, 25.0%, 12.5%, 100% and 91.7%, respectively.All strains carried 5 to 11 virulence genes and they all carried speB, speF and smeZ.There were significant differences in the carrying rate of speA and speJ among the strains with different emm genotypes (all P<0.05). There was no significant difference in the distribution of virulence genes between skin isolates and pharyngeal isolates, including the 5 pairs of strains carrying the emm1.0 genotype (all P>0.05). Conclusions:The distribution of virulence gene of GAS in children with impetigo is significantly correlated with the emm genotype, rather than the isolation site.