ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

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.

ObjectiveTo investigate the clinical effects and safety of Shuhe Granules （舒和颗粒） in patients with rheumatoid arthritis （RA） comorbid with insomnia. MethodsA single-arm prospective exploratory design was adopted. Thirty RA patients comorbid with insomnia and diagnosed with the traditional Chinese medicine （TCM） syndrome of kidney-heart deficiency and qi-blood disharmony were enrolled. On the basis of maintaining their original RA treatment regimens， all patients received oral Shuhe Granules， one dose per day， for 12 consecutive weeks. The outcomes were assessed before treatment and at weeks 4， 8， and 12 after treatment. Sleep and related psychosomatic function were evaluated using the insomnia severity index （ISI）， Pittsburgh sleep quality index （PSQI）， fatigue severity scale （FSS）， patient health questionnaire-9 （PHQ-9）， generalized anxiety disorder-7 （GAD-7）， and Montreal cognitive assessment （MoCA） scores. RA-related assessments included the 28-joint disease activity score based on C-reactive protein （DAS28-CRP）， pain visual analog scale （VAS）， tender joint count （TJC28）， swollen joint count （SJC28）， morning stiffness duration， and health assessment questionnaire （HAQ） score. Laboratory parameters included erythrocyte sedimentation rate （ESR）， serum C-reactive protein （CRP）， anti-cyclic citrullinated peptide antibody （anti-CCP）， and rheumatoid factor （RF） levels. A literature-based historical control group was established through literature retrieval and meta-analysis. The ISI， PSQI， DAS28-CRP， and pain VAS scores were compared between the treatment group in the present study and the historical control group. Safety assessments were also performed. ResultsCompared with baseline before treatment， ISI and PSQI scores decreased at weeks 4， 8， and 12， while MoCA scores increased at weeks 4， 8， and 12. FSS scores decreased at weeks 4 and 12. At weeks 8 and 12， GAD-7 scores， DAS28-CRP scores， duration of morning stiffness， TJC28， and SJC28 were reduced. At week 12， PHQ-9， pain VAS， and HAQ scores significantly decreased （P＜0.05）. FSS and DAS28-CRP scores at week 12 were lower than those at week 4， and CRP levels at week 8 were lower than those at week 4 （P＜0.05）. Compared with the historical control group， the treatment group showed superior improvement in ISI and PSQI scores （P＜0.001）； however， no statistically significant differences were observed between the two groups in DAS28-CRP or pain VAS scores （P＞0.05）. No serious adverse events occurred during the study， and the 4 reported mild adverse events were all considered unrelated to the study medication. ConclusionShuhe Granules significantly improve sleep quality， fatigue， emotional status， cognitive function， RA-related symptoms， and joint function in patients with RA comorbid insomnia， with good safety and tolerability.

Objective:To evaluate the efficacy and safety of anlotinib neoadjuvant therapy for newly diagnosed locally advanced thyroid cancer (LATC).Methods:Twenty-four newly diagnosed LATC patients (10 males and 14 females, age (47.1±3.3) years) admitted to Affiliated Hospital of Integrated Traditional Chinese and Western Medicine of Nanjing University of Chinese Medicine were prospectively included from January 2023 to April 2024. Patients were given anlotinib neoadjuvant therapy (12mg/d, 2 weeks of medication, 1 week of discontinuation), and the efficacy of the treatment was evaluated by CT and multi-disciplinary treatment at the end of each treatment cycle. Patients assessed as suitable for surgery would be scheduled for surgery, while those who were not suitable for surgery would continue to receive neoadjuvant therapy and periodic evaluations. The primary endpoints were objective response rate (ORR) and disease control rate (DCR), and the R0/1 resection rate and adverse events (AE) after neoadjuvant therapy were observed. Paired- t test was used to analyze the differences between groups, and the Clopper-Person accurate method was used to calculate the bilateral 95% CI of ORR and other indicators. Results:Twenty-four patients received 2(2, 3) cycles of neoadjuvant therapy with anlotinib, of which 23 underwent surgery after anlotinib therapy. After neoadjuvant therapy, the mean maximum diameter of target lesions decreased by 23.5%(95% CI: 2.8%-44.3%) compared with baseline ( t=9.22, P<0.001). The ORR and DCR were 37.5%(95% CI: 18.8%-59.4%) and 100%(95% CI: 85.8%-100%), respectively. About 91.7%(95% CI: 73.0%-99.0%) of patients eventually underwent R0/1 resection. Hand and foot skin reactions, hypertension, oral mucositis, and leukopenia were common AE; grade 4 and 5 AE were not observed. Conclusion:Anlotinib can be safely used as neoadjuvant therapy for newly diagnosed LATC patients with good antitumor effects, providing better surgical opportunities for R0/1 resection.

Objective:To assess the value of whole exome sequencing (WES) for the diagnosis of early-onset genetic diseases among infants aged 0 to 6 month in Ningbo region.Methods:268 infants presented at the Women and Children′s Hospital Affiliated to Ningbo University from January 2022 to June 2024 undergoing WES-based genetic testing were enrolled. Peripheral blood samples were collected from the infants and their parents and subjected to WES. Pathogenic variants were identified by clinical manifestations. This study has been approved by the Medical Ethics Committee of the Hospital (Ethics No. EC2023-017).Results:Among the 268 infants, 124 (46.3%) had phenotype-explaining genetic variants. For 42 family-based WES tests, 20 (47.62%) were abnormal, whilst in 226 single-person WES tests, 104 (46.02%) had abnormalities, with 76 (33.63%) verified by parental testing. In 96 fully family-verified cases, 31 were de novo, 40 were parent-inherited, 25 were single-parent-inherited. These included 35 inborn metabolic errors, 28 rare syndromes, 9 neurodevelopmental disorders, 4 musculoskeletal diseases, 5 congenital deafness, 2 mitochondrial diseases, 4 endocrine diseases, and 9 others. Among these, there were 7 pathogenic copy number variations (all deletions), 3 chromosomal abnormalities, and 85 single-nucleotide variations. One case of Beckwith-Wiedemann syndrome was detected by methylation MLPA. Among the single-nucleotide variants, 114 pathogenic/likely pathogenic variants were identified in 61 genes, with common ones including missense variants (64.04%), frameshifting variants (20.18%) and splicing variants (4.39%). Conclusion:WES can offer effective diagnosis for hereditary diseases with specific/non-specific manifestations. For early-age infants, higher detection rates may be attained for inborn metabolic errors, rare syndromes, neurodevelopmental disorders, congenital deafness, and musculoskeletal diseases. Compared with single-person WES, family-based WES can attain a higher diagnostic efficiency.

OBJECTIVE: To assess the value of whole exome sequencing (WES) for the diagnosis of early-onset genetic diseases among infants aged 0 to 6 month in Ningbo region. METHODS: 268 infants presented at the Women and Children's Hospital Affiliated to Ningbo University from January 2022 to June 2024 undergoing WES-based genetic testing were enrolled. Peripheral blood samples were collected from the infants and their parents and subjected to WES. Pathogenic variants were identified by clinical manifestations. This study has been approved by the Medical Ethics Committee of the Hospital (Ethics No. EC2023-017). RESULTS: Among the 268 infants, 124 (46.3%) had phenotype-explaining genetic variants. For 42 family-based WES tests, 20 (47.62%) were abnormal, whilst in 226 single-person WES tests, 104 (46.02%) had abnormalities, with 76 (33.63%) verified by parental testing. In 96 fully family-verified cases, 31 were de novo, 40 were parent-inherited, 25 were single-parent-inherited. These included 35 inborn metabolic errors, 28 rare syndromes, 9 neurodevelopmental disorders, 4 musculoskeletal diseases, 5 congenital deafness, 2 mitochondrial diseases, 4 endocrine diseases, and 9 others. Among these, there were 7 pathogenic copy number variations (all deletions), 3 chromosomal abnormalities, and 85 single-nucleotide variations. One case of Beckwith-Wiedemann syndrome was detected by methylation MLPA. Among the single-nucleotide variants, 114 pathogenic/likely pathogenic variants were identified in 61 genes, with common ones including missense variants (64.04%), frameshifting variants (20.18%) and splicing variants (4.39%). CONCLUSION WES can offer effective diagnosis for hereditary diseases with specific/non-specific manifestations. For early-age infants, higher detection rates may be attained for inborn metabolic errors, rare syndromes, neurodevelopmental disorders, congenital deafness, and musculoskeletal diseases. Compared with single-person WES, family-based WES can attain a higher diagnostic efficiency.
Humans ; Exome Sequencing/methods* ; Infant ; Female ; Male ; Infant, Newborn ; Genetic Diseases, Inborn/diagnosis* ; Genetic Testing/methods*

Objective To examine the significance of susceptible gene detection for hereditary cancer syndrome (HCS) among general population. Methods A total of 2 928 individuals undergoing routine health examinations in Healthcare Center of Zhongshan Hospital, Fudan University, from September 2021 to April 2024 were enrolled retrospectively. Next generation sequencing was employed to identify susceptible genes for HCS. American College of Medical Genetics and Genomics (ACMG) guideline was used to analyze the pathogenicity of variants. Clinical data, imagings, follow-up data were also collected. Results The overall mutation rate of HCS panel was 3.59% (105/2 928), with 0.61% (18/2 928) for MutY DNA glycosylase (MUTYH), 0.27% (8/2 928) for breast cancer susceptibility gene 1/2 (BRCA1/2) and 0.23% (7/2 928) for mismatch repair (MMR) genes. Conclusions Healthy individuals carrying tumor susceptible genes usually lack the relevant clinical phenotypes. Whether comprehensive testing needs to be carried out among healthy people remains to be further explored.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

Objective:To evaluate the efficacy and safety of anlotinib neoadjuvant therapy for newly diagnosed locally advanced thyroid cancer (LATC).Methods:Twenty-four newly diagnosed LATC patients (10 males and 14 females, age (47.1±3.3) years) admitted to Affiliated Hospital of Integrated Traditional Chinese and Western Medicine of Nanjing University of Chinese Medicine were prospectively included from January 2023 to April 2024. Patients were given anlotinib neoadjuvant therapy (12mg/d, 2 weeks of medication, 1 week of discontinuation), and the efficacy of the treatment was evaluated by CT and multi-disciplinary treatment at the end of each treatment cycle. Patients assessed as suitable for surgery would be scheduled for surgery, while those who were not suitable for surgery would continue to receive neoadjuvant therapy and periodic evaluations. The primary endpoints were objective response rate (ORR) and disease control rate (DCR), and the R0/1 resection rate and adverse events (AE) after neoadjuvant therapy were observed. Paired- t test was used to analyze the differences between groups, and the Clopper-Person accurate method was used to calculate the bilateral 95% CI of ORR and other indicators. Results:Twenty-four patients received 2(2, 3) cycles of neoadjuvant therapy with anlotinib, of which 23 underwent surgery after anlotinib therapy. After neoadjuvant therapy, the mean maximum diameter of target lesions decreased by 23.5%(95% CI: 2.8%-44.3%) compared with baseline ( t=9.22, P<0.001). The ORR and DCR were 37.5%(95% CI: 18.8%-59.4%) and 100%(95% CI: 85.8%-100%), respectively. About 91.7%(95% CI: 73.0%-99.0%) of patients eventually underwent R0/1 resection. Hand and foot skin reactions, hypertension, oral mucositis, and leukopenia were common AE; grade 4 and 5 AE were not observed. Conclusion:Anlotinib can be safely used as neoadjuvant therapy for newly diagnosed LATC patients with good antitumor effects, providing better surgical opportunities for R0/1 resection.