1.From "standardized patients" to "digital twin patients": Disciplinary logic and technical divergence of five patient modeling paradigms
Xingyuan ZHU ; Jiaqing WANG ; Zhongfang YANG ; Zong' ; an HUANG ; Zheng ZHU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(07):1023-1033
With the rapid development of large language models and related technologies, various forms of patient modeling have emerged, including virtual patients, synthetic patients, artificial intelligence patients, and digital twin patients. Although these forms all share the core objective of patient simulation, they exhibit significant differences in theoretical ontology, data sources, modeling logic, and application orientation. Based on the abstraction levels of simulation objects and system mapping logic, this study systematically compares five paradigms—standardized patients, virtual patients, synthetic patients, AI patients, and digital twin patients—to clarify their conceptual boundaries and technical positioning. The findings indicate that these paradigms represent distinct modeling pathways: behavioral reproduction, scenario simulation, data generation, cognitive interaction, and individual system mapping, respectively. By constructing a multidimensional comparative framework, this study provides a theoretical foundation for the conceptual standardization of patient modeling and the strategic deployment of intelligent healthcare systems.
2.Pre-operative risk assessment of hepatocellular carcinoma recurrence in liver transplant recipients by non-invasive detection of pre-existing genetic lesions
Suqin YANG ; Sunbin LING ; Jianhua LI ; Yan WANG ; Jiapei WANG ; Qiwei HUANG ; Fanming LIU ; Yiqi ZHUANG ; Yingyu ZHENG ; Rui WANG ; Zhe YANG ; Xiaoping ZHENG ; Kai WANG ; Zhikun LIU ; Jun CHEN ; Jianguo WANG ; Haiyang XIE ; Lin ZHOU ; Leiming CHEN ; Guoqiang CAO ; Dandan CHEN ; Junfang JI ; Bin ZHAO ; Chao JIANG ; Di LU ; Xuyong WEI ; Hangjin JIANG ; Qiaonan SHAN ; Hengbo SHI ; Yong-Zhen XU ; Shusen ZHENG ; Zhengxin WANG ; Shengda LIN ; Xiao XU
Clinical and Molecular Hepatology 2026;32(2):884-903
Background/Aims:
Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy.
Methods:
We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues.
Results:
We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts.
Conclusion
Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.
3.Engineered Bacteriophages for The Treatment of Multidrug-resistant Bacterial Infections
Yu-Ying CHEN ; Chun-Mei HUANG ; Jin-Zhi PAN ; De-Liang LIU ; Yang ZHOU ; Gui-Qin DAI ; Peng-Fei ZHAO ; Hong-Zhou LU ; Ming-Bin ZHENG
Progress in Biochemistry and Biophysics 2026;53(6):1581-1596
Multidrug-resistant (MDR) bacterial infections have emerged as a serious challenge of global public health crisis. The overuse and misuse of conventional antibiotics have dramatically accelerated the emergence, evolution and worldwide spread of drug-resistant bacterial strains, necessitating urgent exploration of novel antibacterial strategies. Bacteriophages serve as natural bacterial predators offering distinct advantages including high host specificity, autonomous self-replication capabilities and cost-effective large-scale production. However, wild-type phages present significant clinical limitations due to their narrow host ranges, susceptibility to rapid immune clearance and poor penetration of bacterial biofilms, which severely restrict their therapeutic applications. The convergence of synthetic biology, nanotechnology and advanced gene editing technologies has accelerated the development of engineered bacteriophage platforms, providing programmable, scalable and clinically translatable pathways to overcome these inherent biological constraints. Here, we systematically delineate four fundamental strategies for engineered bacteriophage development. Chemical modification utilizes reactive functional groups such as amino, carboxyl and thiol moieties on capsid proteins through esterification, amidation or click chemistry reactions to achieve precise drug conjugation and surface functionalization. In vivo editing encompasses ultraviolet or chemical mutagenesis for random mutation induction, homologous recombination for targeted genetic alterations, recombineering methodologies including electroporation-mediated bacteriophage recombination engineering, and CRISPR-Cas systems for precise genome editing to enable exact genetic reconstruction and host range reprogramming. In vitro synthesis leverages genome engineering platforms where intact phage genomes are transferred into yeast or host bacteria to facilitate highly efficient homologous recombination, enabling large DNA fragment assembly and cross-gene host range expansion without bacterial toxicity constraints. Directed evolution combines artificial selection through mutation library screening with rational design approaches involving chimeric receptor binding protein construction or site-specific mutagenesis, effectively balancing the discovery of unknown adaptive pathways with targeted host specificity modification. Moreover, we comprehensively discuss therapeutic applications across diverse clinical scenarios. Engineered bacteriophage effectively disrupt bacterial biofilms through sophisticated functionalized delivery platforms including nanozyme-conjugated phages, phage-liposome nanoconjugates and bio-responsive hydrogels, demonstrating significantly enhanced bactericidal efficiency compared to unmodified free phages. These bioengineered vectors attenuate bacterial virulence and resensitize pathogens to antibiotics by delivering CRISPR-Cas systems or base editors to disrupt critical virulence factors such as pili, capsule synthesis machineries and quorum sensing systems, or by inactivating antibiotic resistance determinants including beta-lactamase genes. As an intelligent nanomedicine delivery platform, engineered bacteriophage enable precise pathogen elimination an through photocatalytic reactive oxygen species generation, immunomodulatory interventions, or controlled release of antibacterial drugs. Furthermore, oral administration of engineered bacteriophage facilitates microbiota modulation, which selectively eliminate intestinal pathogens while preserve beneficial commensal microbiota, thereby restoring microbial community balance and preventing complications associated with dysbiosis. Finally, we critically analyze persistent challenges including host strain matching complexity, evolution of bacterial resistance mechanisms, pharmacokinetic optimization requirements, optimal administration route selection, large-scale production quality control standards and clinical dosing determination protocols. Through multidisciplinary integration of synthetic biology, infectious disease medicine and immunology, future translational medicine studies of bacteriophage should establish comprehensive technical platforms encompassing rapid phage screening, intelligent rational design, rigorous in vivo evaluation and standardized clinical validation processes, ultimately advancing engineered bacteriophage from laboratory innovations to clinically approved therapeutics for effectively combating MDR bacterial infections.
4.Integrated Traditional Chinese and Western Medicine Therapeutic Strategies for Diabetic Kidney Disease under the Guidance of "Diseased Collateral" Theory
Yuzi CAI ; Huijuan ZHENG ; Weijun HUANG ; Yue JI ; Yizhen HAN ; Weiwei SUN ; Yuning LIU ; Yaoxian WANG ; Weijing LIU
Journal of Traditional Chinese Medicine 2026;67(13):1390-1396
Based on the theory of diseased collaterals and the progression pattern of diabetic kidney disease (DKD), this paper proposes a staged treatment system based on the "three states of kidney collaterals" including collateral distention, collateral bi (痹) and collateral accumulation. In the collateral distention stage, the primary pathogenesis is heat damaging the kidney collaterals and collateral vessel dilation, corresponding to the early state of DKD characterized by hyperfiltration and microalbuminuria; the clearing method is suggested, and Shenling Jiangtang Formula (参苓降糖方) can be used to promote the remission of proteinuria by ameliorating insulin resistance and regulating intestinal microecology. In the collateral bi stage, the core pathogenesis lies in the binding of phlegm and stasis, and the formation of concretions and conglomerations in the kidney collaterals, corresponding to massive proteinuria and the decline of renal function, for which the unblocking method should be taken, using Jinchan Yishen Tongluo Formula (金蝉益肾通络方) and Qingre Xiaozheng Formula (清热消癥方) to alleviate renal pathological damage by regulating the autophagy-lysosome pathway and repairing mitochondrial energy metabolism. The collateral accumulation stage is characterized by the internal retention of turbid toxins and accumulations of concretions in the kidney collaterals, corresponding to renal fibrosis and end-stage renal disease (ESRD); the dispersion method is suggested, and Yiqi Tongluo Xiezhuo Formula (益气通络泄浊方) and Shenyan Fangshuai Fluid (肾炎防衰液) can be used to inhibit extracellular matrix accumulation and delay the progressive loss of renal function. Collateral deficiency runs through the entire course of the disease and is closely related to cellular senescence and the imbalance of the ubiquitin-proteasome/autophagy system. The concept of the "three states of kidney collaterals" integrates the evolution of traditional Chinese medicine pathogenesis with modern pathological staging, forming a whole-course intervention system of "staging-syndrome differentiation-target-formula", thereby providing novel insights for prevention and treatment of DKD using integrated traditional Chinese and western medicine.
5.An Attention-weighted Tri-modal Ultrasound Network (TUS-Net) for Screening of Atypical Hepatocellular Carcinoma From LR-M Liver Nodules
He-Chong ZHANG ; Liang-Hui HUANG ; Xue-Hua WANG ; Shang-Lin JIANG ; Ying-Ying CHEN ; Ya-Guang ZENG ; Wei ZHENG
Progress in Biochemistry and Biophysics 2026;53(5):1485-1498
ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.
6.Development and exploration of a closed-loop management model for externally dispensed intravenous prescriptions
Xuhua XIE ; Yun WU ; Songqing HUANG ; Yukun HUANG ; Siyan CHEN ; Zheng ZENG ; Weiyan TANG ; Zuolong HE ; Chunxia ZHOU ; Hongliang ZHANG
China Pharmacy 2026;37(10):1246-1250
OBJECTIVE To construct a closed-loop management model for externally dispensed intravenous prescriptions, and to provide reference for standardized management of externally dispensed intravenous prescriptions. METHODS Based on the Expert Consensus on Closed-loop Management of Externally Dispensed Intravenous Prescriptions in Guangxi Zhuang Autonomous Region previously formulated by our hospital, risk points during the entire process were systematically identified through multidisciplinary team brainstorming and a fishbone diagram. A series of strategies were subsequently formulated and implemented, including qualifying designated external dispensing pharmacies and the drug catalogs, operating and maintaining the hospital information system and the Pharmacy Intravenous Admixture Service (PIVAS) intelligent management platform, and strengthening differentiated training for staff in the whole workflow. A whole-process closed-loop management system was constructed with PIVAS as the co re hub and the daytime chemotherapy center as the safety terminal. RESULTS A total of 3 cooperating pharmacies and an initial drug list comprising 35 product specifications were selected. A closed‑loop management process encompassing hospital outpatient prescribing, patient drug purchase in designated pharmacies, PIVAS drug dispensing, and medication use in daytime chemotherapy center was successfully established. This system enabled the mandatory grouping and association of externally dispensed intravenous prescriptions with in-hospital diluents, full-process verification based on drug traceability codes, intelligent monitoring of infusion parameters, and whole-process data traceability. CONCLUSIONS The constructed model effectively resolves the coordination and safety oversight during the use of externally dispensed intravenous drugs from out-of-hospital circulation to in-hospital use, and has preliminarily enabled procedural standardization, whole-process information traceability, and proactive control of medication risks.
7.Effect and mechanism of beta-caryophyllene in mice with osteoarthritis
Ju CHEN ; Jinchang ZHENG ; Zhen LIANG ; Chengshuo HUANG ; Hao LIN ; Li ZENG
Chinese Journal of Tissue Engineering Research 2026;30(6):1341-1347
BACKGROUND:β-Caryophyllene has a variety of pharmacological activities such as antioxidant,anti-inflammatory and anti-apoptotic,which may have a better therapeutic effect on osteoarthritis.OBJECTIVE:To investigate the effect and mechanism of β-caryophyllene on mouse osteoarthritis.METHODS:Forty C57BL/6J mice were randomly divided into sham group,model group,low-dose β-caryophyllene group and high-dose β-caryophyllene group,with 10 mice in each group.Hulth method was used to construct an osteoarthritis model in the latter three groups.Four weeks after modeling,70 and 140 mg/kg/d β-caryophyllene was intragastrically given in the low-and high-dose β-caryophyllene groups,respectively,and normal saline was given by gavage in the sham group and the model group,once a day,for 4 weeks.After administration,knee joint morphological changes were observed by hematoxylin-eosin staining,serum levels of inflammatory factors(tumor necrosis factor-α,interleukin-1β,interleukin-6,and interleukin-10)were detected by ELISA,and oxidative stress indexes(glutathione peroxidase,superoxide dismutase,and malondialdehyde)were detected by chemiluminescence.The expression levels of key proteins in the Sonic hedgehog(Shh)/glioma associated oncogene homolog 1(Gli1)signaling pathway were detected by immunohistochemistry and western blot.RESULTS AND CONCLUSION:(1)Compared with the sham group,a large number of inflammatory cells infiltrated in the knee joint of mice in the model group,cartilage tissue was seriously damaged,serum levels of tumor necrosis factor-α,interleukin-1β,interleukin-6,interleukin-10 and malondialdehyde were significantly increased(P<0.01),the activities of glutathione peroxidase and superoxide dismutase were significantly decreased(P<0.01),and the relative expression levels of Shh and Gli1 in the knee joint were significantly increased(P<0.01).(2)Compared with the model group,in the low-and high-dose β-caryophyllene groups,inflammatory cell infiltration in the mouse knee joint was decreased,cartilage tissue injury was alleviated,serum levels of tumor necrosis factor-α,interleukin-1 β,interleukin-6 and malondialdehyde were significantly decreased(P<0.05),the activities of glutathione peroxidase and superoxide dismutase were significantly increased(P<0.01),and the expression levels of Shh and Gli1 in the knee joint were significantly decreased(P<0.01).The above-mentioned improvements were more significant in the high-dose β-caryophyllene group than the low-dose β-caryophyllene group.To conclude,β-caryophyllene can improve osteoarthritis,and its mechanism may be related to reducing inflammation and oxidative stress damage by regulating the Shh/Gli1 signaling pathway.
8.Compact Fundus Imaging System Using Shack-Hartmann Wavefront Sensing for High-speed Auto-focus
Zhe-Kai LIN ; Long CHEN ; Geng-Yong ZHENG ; Jin-Tian HUANG ; Jia-Xin DONG ; Shang-Pan YANG ; Wen-Zheng DING ; Ding-An HAN ; Xue-Hua WANG ; Ya-Guang ZENG
Progress in Biochemistry and Biophysics 2026;53(4):1076-1086
ObjectiveThe widespread adoption of portable fundus cameras for primary care and community screening is hindered by limitations in current autofocus(AF) technologies. Image-based methods relying on sharpness evaluation require iterative searches, resulting in slow convergence, while projection-based techniques are susceptible to optical artifacts and calibration errors. To address these challenges, this study introduces a novel AF system based on direct wavefront sensing, designed to deliver simultaneous high speed, high precision, and operational robustness within the compact form factor essential for portable ophthalmic devices. MethodsOur approach fundamentally reimagines the AF process by directly measuring the ocular wavefront aberration. We developed a custom portable fundus camera integrating a miniaturized Shack-Hartmann wavefront sensor (SHWS) into the optical path. An 850 nm laser diode projects a point source onto the retina via oblique illumination to minimize corneal reflections. Light scattered from this spot carries the eye’s refractive error through the imaging optics and is directed to the SHWS, positioned at a plane optically conjugate to the primary color CMOS imaging sensor. A microlens array within the SHWS samples the incident wavefront, generating a pattern of focal spots on a CCD. Real-time centroid analysis of these spots provides a map of local wavefront slopes. These measurements are processed through a singular value decomposition (SVD) algorithm to fit a Zernike polynomial basis set, enabling real-time reconstruction of the wavefront phase. The defocus component (S) is extracted from the second-order Zernike coefficients, providing a direct, quantitative measure of the refractive error in diopters. This value serves as a precise error signal in a closed-loop control system, which commands a voice-coil actuated focusing lens to its null position in a single, deterministic step, eliminating the need for iterative search algorithms. ResultsComprehensive evaluation demonstrated the system’s high performance. Testing on a calibrated model eye (OEMI-7) established a highly linear relationship between the computed defocus S and the focusing lens position across a ±20 Diopter (D) compensation range, achievable within a 5 mm mechanical travel. The system achieved a focusing precision of 0.08 D, corresponding to an 18-fold improvement over a conventional projection spot-size method tested under identical conditions. The total focus acquisition time, encompassing wavefront measurement, computation, and lens actuation, averaged under 0.5 s. Clinical validation with 25 human volunteers (50 eyes, refractive range -15 D to +10 D) confirmed practical efficacy. The wavefront-sensing AF succeeded in 92% of attempts with a mean time of 0.5 s, substantially outperforming a projection-based benchmark which achieved only a 32% success rate with an average time of 4.25 s. The system provided instantaneous directional guidance and maintained stability during minor ocular movements. Objective assessment of image quality, via amplitude contrast of retinal vasculature, showed consistent and significant enhancement following AF correction across the entire tested diopter range. ConclusionThis work successfully implements and validates a direct wavefront-sensing autofocus paradigm for portable fundus cameras. By directly quantifying and compensating for the optical defocus aberration, this method bypasses the fundamental limitations of image-processing and projection-based techniques, enabling rapid, precise, and deterministic diopter compensation. The developed system delivers an exceptional combination of a wide operational range (±20 D), high accuracy (0.08 D), fast convergence (0.5 s), and a compact physical footprint. This technology provides a practical and high-performance focusing solution capable of enhancing the reliability, throughput, and diagnostic utility of portable retinal imaging in large-scale screening applications. Future efforts will be directed towards system cost optimization and performance adaptation for diverse ocular conditions.
9.Construction and Application of "Source-Pivot-Convergence" Pattern Identification and Treatment Model for Malignant Tumors
Yuling JIANG ; Jiawei HE ; Yang ZHONG ; Chunxia HUANG ; Qiong MA ; Chuan ZHENG ; Xi FU ; Fengming YOU
Journal of Traditional Chinese Medicine 2026;67(9):956-960
Based on LI Gao's Academic Thought, focusing on the process of qi transformation and taking the regulation and restoration of metabolism and immunity as the entry point, a "source-pivot-convergence" diagnostic and therapeutic model for malignant tumors is constructed. In this model, spleen and stomach internal injury is the source of malignant tumor occurrence, while the disorder of ascending and descending is the pivot of the disease development, and the generation of yin fire is the convergence of malignant tumor progression. Based on this, the three major therapeutic methods of clearing the source, harmonizing the pivot, and resolving the convergence are established. To fortify spleen and boost qi, consolidate the root and clear the source, modified Buzhong Yiqi Decoction(补中益气汤)can be used. To raise the clear and direct the turbid downward, regulate qi and harmonize the pivot, modified Shengyang Yiwei Decoction (升阳益胃汤) is suggested. To restore balance and promote circulation, disperse accumulation and resolve convergence, modified Shengyang Sanhuo Decoction (升阳散火汤) is selected. In clinical practice, these formulas can be used in combination according to the complexity of the pathogenesis, and further adapted with prescriptions for promoting dispersion and penetrating pathogenic factors, resolving phlegm and promoting circulation, activating blood and eliminating concretions, which can provide a reference for the prevention and treatment of tumor diseases.
10.Construction and Application of "Source-Pivot-Convergence" Pattern Identification and Treatment Model for Malignant Tumors
Yuling JIANG ; Jiawei HE ; Yang ZHONG ; Chunxia HUANG ; Qiong MA ; Chuan ZHENG ; Xi FU ; Fengming YOU
Journal of Traditional Chinese Medicine 2026;67(9):956-960
Based on LI Gao's Academic Thought, focusing on the process of qi transformation and taking the regulation and restoration of metabolism and immunity as the entry point, a "source-pivot-convergence" diagnostic and therapeutic model for malignant tumors is constructed. In this model, spleen and stomach internal injury is the source of malignant tumor occurrence, while the disorder of ascending and descending is the pivot of the disease development, and the generation of yin fire is the convergence of malignant tumor progression. Based on this, the three major therapeutic methods of clearing the source, harmonizing the pivot, and resolving the convergence are established. To fortify spleen and boost qi, consolidate the root and clear the source, modified Buzhong Yiqi Decoction(补中益气汤)can be used. To raise the clear and direct the turbid downward, regulate qi and harmonize the pivot, modified Shengyang Yiwei Decoction (升阳益胃汤) is suggested. To restore balance and promote circulation, disperse accumulation and resolve convergence, modified Shengyang Sanhuo Decoction (升阳散火汤) is selected. In clinical practice, these formulas can be used in combination according to the complexity of the pathogenesis, and further adapted with prescriptions for promoting dispersion and penetrating pathogenic factors, resolving phlegm and promoting circulation, activating blood and eliminating concretions, which can provide a reference for the prevention and treatment of tumor diseases.

Result Analysis
Print
Save
E-mail