Objective To explore the relationship between PANoptosis and hepatic ischemia-reperfusion injury (HIRI), and to screen the key genes of PANoptosis in HIRI. Methods PANoptosis-related differentially expressed genes (PDG) were obtained through the Gene Expression Omnibus database and GeneCards database. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) were used to explore the biological pathways related to PDG. A protein-protein interaction network was constructed. Key genes were selected, and their diagnostic value was assessed and validated in the HIRI mice. Immune cell infiltration analysis was performed based on the cell-type identification by estimating relative subsets of RNA transcripts. Results A total of 16 PDG were identified. GO analysis showed that PDG were closely related to cellular metabolism. KEGG analysis indicated that PDG were mainly enriched in cellular death pathways such as apoptosis and immune-related signaling pathways such as the tumor necrosis factor signaling pathway. GSEA results showed that key genes were mainly enriched in immune-related signaling pathways such as the mitogen-activated protein kinase (MAPK) signaling pathway. Two key genes, DFFB and TNFSF10, were identified with high accuracy in diagnosing HIRI, with areas under the curve of 0.964 and 1.000, respectively. Immune infiltration analysis showed that the control group had more infiltration of resting natural killer cells, M2 macrophages, etc., while the HIRI group had more infiltration of M0 macrophages, neutrophils, and naive B cells. Real-time quantitative polymerase chain reaction results showed that compared with the Sham group, the relative expression of DFFB messenger RNA in liver tissue of HIRI group mice increased, and the relative expression of TNFSF10 messenger RNA decreased. Cibersort analysis showed that the infiltration abundance of naive B cells was positively correlated with DFFB expression (r=0.70, P=0.035), and the infiltration abundance of M2 macrophages was positively correlated with TNFSF10 expression (r=0.68, P=0.045). Conclusions PANoptosis-related genes DFFB and TNFSF10 may be potential biomarkers and therapeutic targets for HIRI.

ObjectiveTo analyze the influencing factors for recurrence in successfully treated pulmonary tuberculosis patients with isoniazid-resistant and rifampicin-sensitive in Shaoxing City, Zhejiang Province. MethodsData on general demographic information, treatment information and drug susceptibility test results for pulmonary tuberculosis patients admitted to the designated tuberculosis medical institutions and registered in the tuberculosis information management system was collected in Shaoxing City from January 2011 to August 2024. A total of 428 patients with isoniazid resistance (including isoniazid single resistance and multiple resistance) but who were successfully treated were included in the study. Information for the recurrence after successful treatment of the patients was analyzed. The Cox proportional hazards models were used to analyze the influencing factors of recurrence in patients. ResultsAmong the 428 successfully treated patients included in the study, 31 cases (accounting for 7.24%) had recurrence by the end of the observation period, with a recurrence rate density of 1.31 per 100 person-years and a median recurrence time of 0.99 (0.08, 8.27) years. Among the relapsed population, 51.61% of the patients relapsed within one year after successful treatment. 77.42% of the patients relapsed within two years after successful treatment. Multivariate Cox regression analysis showed that when isoniazid resistance was discovered, the diagnosis classification of relapse (HR=4.115, 95%CI: 1.734‒9.767) and positive 0-month sequence smear (HR=4.457, 95%CI: 1.053‒18.866) were risk factors for recurrence after successful treatment in patients. ConclusionRegular follow-up should be strengthened for at least two years after the successful treatment of isoniazid-resistant pulmonary tuberculosis patients. Special attention should be paid to the treatment effect and regular re-examination and monitoring after the end of the treatment course of isoniazid-resistant pulmonary tuberculosis patients who have been re-treated and were sputum smear positive at baseline, so as to prevent recurrence and disease progression in high-risk populations.

ObjectiveTo explore the mechanism of the anti-cancer compound formula Feiyanning in inhibiting epithelial-mesenchymal transition （EMT） and invasion and metastasis of non-small cell lung cancer （NSCLC）. MethodsCell proliferation and activity were assessed using the cell counting kit-8（CCK-8） assay to evaluate the effect of Feiyanning on the proliferation of A549 and H1299 cells. Wound healing and Transwell assays were conducted to examine Feiyanning's impact on the metastasis of A549 and H1299 cells. The effects of Feiyanning on EMT and the transforming growth factor-β₁ （TGF-β₁）/Smad signaling pathway proteins in A549 and H1299 cells were detected by Western blot. Exogenous TGF-β₁ was used to induce EMT in A549 and H1299 cells. The effects of Feiyanning on TGF-β₁-induced NSCLC cell metastasis， EMT， and the TGF-β₁/Smad pathway proteins were assessed by wound healing assay， Transwell assay， and Western blot. In vivo， an A549 lung metastasis model was established via tail vein injection in nude mice. A total of 28 SPF male nude mice were randomly divided into four groups： Model （NC） group， Feiyanning low-dose （FYN1） group， Feiyanning high-dose （FYN2） group， and the positive control group （TGF-β receptor kinase inhibitor SB431542 group）. The corresponding interventions were performed. After 40 days， the mice were euthanized， and lung metastases were analyzed. The expression of E-cadherin， N-cadherin， p-Smad2， and p-Smad3 in each group was detected by immunohistochemistry （IHC）. ResultsAfter Feiyanning intervention， compared to the blank group， Feiyanning inhibited the proliferation of A549 and H1299 cells in a concentration-dependent manner （P<0.01）. The metastasis ability of Feiyanning-treated cells was significantly decreased compared to the blank group （P<0.01）. The expression of EMT marker proteins N-cadherin and zinc finger transcription factors （Zeb1， Snail， Slug） was significantly reduced in the Feiyanning groups compared to the blank group （P<0.05， P<0.01）. The expression of p-Smad2/3， Smad2/3， TβRI， and TβRⅡ， key proteins in the TGF-β₁/Smad signaling pathway， was also significantly decreased （P<0.01）. In the TGF-β₁-induced EMT model， compared to the TGF-β₁ group， the cell metastasis ability in the Feiyanning groups was reduced （P<0.01）， and the expression levels of N-cadherin， Zeb1， Snail， and Slug were significantly lower （P<0.01）. The expression levels of p-Smad2/3， Smad2/3， TβRI， and TβRⅡ were also significantly reduced （P<0.01）. In vivo results showed that compared to the model group， the number of lung metastases in the FYN1， FYN2， and SB431542 groups was reduced （P<0.01）， and the range of cell infiltration was narrowed. Immunohistochemical results showed that compared to the model group， the expression of E-cadherin in the FYN1， FYN2， and SB431542 groups was increased （P<0.01）， the expression of N-cadherin decreased （P<0.05， P<0.01）， and the expression of p-Smad2 and p-Smad3， key proteins of the TGF-β₁/Smad pathway， was reduced （P<0.01）. ConclusionFeiyanning inhibits the invasion and metastasis of NSCLC cells and EMT. The mechanism is related to the inhibition of TGF-β₁/Smad signaling pathway.

ObjectiveTo explore the mechanism of the anti-cancer compound formula Feiyanning in inhibiting epithelial-mesenchymal transition （EMT） and invasion and metastasis of non-small cell lung cancer （NSCLC）. MethodsCell proliferation and activity were assessed using the cell counting kit-8（CCK-8） assay to evaluate the effect of Feiyanning on the proliferation of A549 and H1299 cells. Wound healing and Transwell assays were conducted to examine Feiyanning's impact on the metastasis of A549 and H1299 cells. The effects of Feiyanning on EMT and the transforming growth factor-β₁ （TGF-β₁）/Smad signaling pathway proteins in A549 and H1299 cells were detected by Western blot. Exogenous TGF-β₁ was used to induce EMT in A549 and H1299 cells. The effects of Feiyanning on TGF-β₁-induced NSCLC cell metastasis， EMT， and the TGF-β₁/Smad pathway proteins were assessed by wound healing assay， Transwell assay， and Western blot. In vivo， an A549 lung metastasis model was established via tail vein injection in nude mice. A total of 28 SPF male nude mice were randomly divided into four groups： Model （NC） group， Feiyanning low-dose （FYN1） group， Feiyanning high-dose （FYN2） group， and the positive control group （TGF-β receptor kinase inhibitor SB431542 group）. The corresponding interventions were performed. After 40 days， the mice were euthanized， and lung metastases were analyzed. The expression of E-cadherin， N-cadherin， p-Smad2， and p-Smad3 in each group was detected by immunohistochemistry （IHC）. ResultsAfter Feiyanning intervention， compared to the blank group， Feiyanning inhibited the proliferation of A549 and H1299 cells in a concentration-dependent manner （P<0.01）. The metastasis ability of Feiyanning-treated cells was significantly decreased compared to the blank group （P<0.01）. The expression of EMT marker proteins N-cadherin and zinc finger transcription factors （Zeb1， Snail， Slug） was significantly reduced in the Feiyanning groups compared to the blank group （P<0.05， P<0.01）. The expression of p-Smad2/3， Smad2/3， TβRI， and TβRⅡ， key proteins in the TGF-β₁/Smad signaling pathway， was also significantly decreased （P<0.01）. In the TGF-β₁-induced EMT model， compared to the TGF-β₁ group， the cell metastasis ability in the Feiyanning groups was reduced （P<0.01）， and the expression levels of N-cadherin， Zeb1， Snail， and Slug were significantly lower （P<0.01）. The expression levels of p-Smad2/3， Smad2/3， TβRI， and TβRⅡ were also significantly reduced （P<0.01）. In vivo results showed that compared to the model group， the number of lung metastases in the FYN1， FYN2， and SB431542 groups was reduced （P<0.01）， and the range of cell infiltration was narrowed. Immunohistochemical results showed that compared to the model group， the expression of E-cadherin in the FYN1， FYN2， and SB431542 groups was increased （P<0.01）， the expression of N-cadherin decreased （P<0.05， P<0.01）， and the expression of p-Smad2 and p-Smad3， key proteins of the TGF-β₁/Smad pathway， was reduced （P<0.01）. ConclusionFeiyanning inhibits the invasion and metastasis of NSCLC cells and EMT. The mechanism is related to the inhibition of TGF-β₁/Smad signaling pathway.

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.

Objective:To analyze the clinical characteristics and genetic basis of a male patient with primary infertility caused by Acephalic spermatozoa syndrome.Methods:A patient who had presented at the Henan Provincial People′s Hospital on October 1, 2022 was selected as the study subject. Clinical data and results of laboratory exams and sperm electron microscopy were collected. The patient was subjected to whole exome sequencing (WES), and candidate variants were verified by Sanger sequencing and pathogenicity analysis.Results:WES revealed that the patient has harbored compound heterozygous variants of the PMFBP1 gene, namely c. 853del (p.Ala285Leufs*24) and c. 1276A>T (p.Lys426X), which were both unreported previously. Sanger sequencing suggested that the c. 853del (p.Ala285Leufs*24) variant has derived from his deceased mother, whilst the c. 1276A>T (p.Lys426X) variant has derived from his father. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), both variants were classified as pathogenic (PVS1+ PM2_Supporting+ PP4). Conclusion:The compound heterozygous variants of the PMFBP1 gene probably underlay the Acephalic spermatozoa syndrome in this patient. The discovery of the novel variants has also enriched the mutational spectrum of Acephalic spermatozoa syndrome.

Objective:To compare and analyze the differences in the measurement of intra-abdominal pressure in different positions of critically ill patients treated with extracorporeal membrane oxygenation (ECMO) combined with prone position integration, with a view to finding a more optimal intra-abdominal pressure monitoring strategy, which can provide a theoretical basis for clinical diagnosis and treatment.Methods:Forty critically ill patients who underwent ECMO combined with prone position integrated treatment in the department of Intensive Care Medicine of the First Affiliated Hospital of Guangxi Medical University from January 2020 to June 2023 were selected by convenience sampling method using an own-control trial. The differences in intra-abdominal pressure between supine position with head elevated at 0°, 15°and 30°and prone position with head high and foot low slopes at 0°, 15°and 30°were compared and analyzed. Heart rate, respiration, mean arterial pressure and oxygen saturation were also compared in patients in different positions.Results:There were 29 males and 11 females in 40 patients with the age of (62.58 ± 17.99) years.The intra-abdominal pressure in supine position with head elevated at 30° was (12.45 ± 3.43) mmHg(1 mmHg=0.133 kPa), which was higher than that of 0° and 15° of (9.38 ± 2.52) and (10.70 ± 2.95) mmHg, and the differences were statistically significant ( t=4.56, 2.45, both P<0.05);the difference in intra-abdominal pressure between 0° and 15° was not statistically significant ( P>0.05); the intra-abdominal pressure in prone position with head-high-foot-low slope of 30° was (12.92 ± 4.19) mmHg, which was higher than that of 0°and 15°of (9.67 ± 2.80), and (11.01 ± 3.10) mmHg, and the differences were statistically significant ( t=4.08, 2.32, both P<0.05); the difference in intra-abdominal pressure between 0° and 15° was not statistically significant ( P>0.05).The differences in intra-abdominal pressure between groups of supine bed head elevation 0°, 15°, 30°and prone position with head high and foot low slopes 0°, 15°, 30°were not statistically significant (all P>0.05). The differences in heart rate, respiration, mean arterial pressure and oxygen saturation in the supine position with head elevated at 0°, 15°and 30° were not statistically significant when compared within groups (all P>0.05); the differences in heart rate, respiration, mean arterial pressure and oxygen saturation in the prone position with head elevated with feet and feet on low slopes at 0°, 15°and 30°were not statistically significant when compared within groups (all P>0.05); and the differences in supine position with head elevated at 0°, 15°, 30°and prone head-height-foot-low slope 0°, 15°, 30°of heart rate, respiration, mean arterial pressure were not statistically significant (all P>0.05); supine bed head elevation 0°, 15°, 30°and prone head-height-foot-low slope 0°, 15°, 30°of oxygen saturation between the groups, the differences were statistically significant ( Z=6.85, 6.82, 6.68, all P<0.05). Conclusions:Intra-abdominal pressure can be measured in the 15° prone position in critically ill patients treated with ECMO combined with prone position integration; the different positions have little effect on vital signs, but the prone position significantly improves oxygen saturation.

The standardized workflow of computer-aided static guided implant surgery includes preoperative exami-nation,data acquisition,guide design,guide fabrication and surgery.Errors may occur at each step,leading to irrevers-ible cumulative effects and thus impacting the accuracy of implant placement.However,clinicians tend to focus on fac-tors causing errors in surgical operations,ignoring the possibility of irreversible errors in nonstandard guided surgery.Based on the clinical practice of domestic experts and research progress at home and abroad,this paper summarizes the sources of errors in guided implant surgery from the perspectives of preoperative inspection,data collection,guide de-signing and manufacturing and describes strategies to resolve errors so as to gain expert consensus.Consensus recom-mendation:1.Preoperative considerations:the appropriate implant guide type should be selected according to the pa-tient's oral condition before surgery,and a retaining screw-assisted support guide should be selected if necessary.2.Da-ta acquisition should be standardized as much as possible,including beam CT and extraoral scanning.CBCT performed with the patient's head fixed and with a small field of view is recommended.For patients with metal prostheses inside the mouth,a registration marker guide should be used,and the ambient temperature and light of the external oral scan-ner should be reasonably controlled.3.Optimization of computer-aided design:it is recommended to select a handle-guided planting system and a closed metal sleeve and to register images by overlapping markers.Properly designing the retaining screws,extending the support structure of the guide plate and increasing the length of the guide section are methods to feasibly reduce the incidence of surgical errors.4.Improving computer-aided production:it is also crucial to set the best printing parameters according to different printing technologies and to choose the most appropriate postpro-cessing procedures.

BACKGROUND:Overactive osteoclasts disrupt bone homeostasis and play a bad role in the pathological mechanisms of related skeletal diseases,such as osteoporosis,fragility fractures,and osteoarthritis.Studies have confirmed that ellagic acid and ellagtannin have the potential to inhibit osteoclast differentiation.As their natural metabolites,urolithin A has antioxidant,anti-inflammatory,anti-proliferative and anti-cancer effects,but its effect on osteoclast differentiation and its underlying molecular mechanisms remain unclear. OBJECTIVE:To explore the effect of urolithin A on osteoclast differentiation induced by receptor activator for nuclear factor-κB ligand and its mechanism. METHODS:Mouse mononuclear macrophage leukemia cells(RAW264.7)that grew stably were cultured in vitro.Toxicity of urolithin A(0,0.1,0.5,1.5,2.5 μmol/L)to RAW264.7 cells were detected by cytotoxic MTS assay to screen out the safe concentration.Different concentrations of urolithin A were used again to intervene with receptor activator for nuclear factor-κB ligand-induced differentiation of RAW264.7 cells in vitro.Then,tartrate-resistant acid phosphatase staining and F-actin ring and nucleus staining were performed to observe its effect on the formation and function of osteoclasts.Finally,the expressions of urolithin A on upstream and downstream genes and proteins in the MAPK signaling pathway were observed by western blot and RT-qPCR assays. RESULTS AND CONCLUSION:Urolithin A inhibited osteoclast differentiation and F-actin ring formation in a concentration-dependent manner and 2.5 μmol/L had the strongest inhibitory effect.Urolithin A inhibited the mRNA expression of Nfatc1,Ctsk,Mmp9 and Atp6v0d2 and the protein synthesis of Nfatc1 and Ctsk,related to osteoclast formation and bone resorption.Urolithin A inhibited the activity of osteoclasts by downregulating the phosphorylation of p38 protein to inhibit the mitogen-activated protein kinase signaling pathway.