ObjectiveTo screen suitable packaging and storage conditions for small packaged Alismatis Rhizoma decoction pieces， laying the foundation for developing standardized storage， maintenance techniques and determining shelf life. MethodsUsing the accelerated stability test method， the small packaged decoction pieces of Alismatis Rhizoma were placed in polyethylene plastic bags， aluminum foil polyethylene composite bags， and cowhide coated paper bags under temperature of （40±2） ℃ and relative humidity of （75±5）% conditions， the quality testing was conducted at the end of the 0^th， 1^st， 2^nd， 3^rd， and 6^th month， respectively. Using long-term stability test method， an orthogonal experiment was designed to investigate storage conditions， packaging materials， and packaging methods. At the end of the 0^th， 1^st， 3^rd， 6^th， 9^th， 12^th， 18^th， and 24^th month， the quality of small packaged Alismatis Rhizoma decoction pieces was tested under different packaging and storage conditions（including 2 packaging methods：vacuum packaging and sealed packaging， 3 storage conditions：room temperature， cool， and modified atmosphere， 3 packaging materials：cowhide coated paper bag， aluminum foil polyethylene composite bag， and polyethylene plastic bag）. Then， the G1-entropy weight method combined with orthogonal experiment was used to analyze the quality changes of the decoction pieces under different packaging and storage conditions to identify optimal packaging and storage conditions. The quality testing indicators for Alismatis Rhizoma decoction pieces were expanded beyond those specified in the 2020 edition of the Pharmacopoeia of the People's Republic of China. In addition to the existing indicators（characteristics， moisture content， extractives， and the total content of 23-acetyl alisol B and 23-acetyl alisol C）， new indicators including color value， water activity， total triterpenoid content， and alisol B content have been added. ResultsThe accelerated stability test results indicated that the quality of small packaged Alismatis Rhizoma decoction pieces was more stable when packaged in aluminum foil-polyethylene composite materials compared to cowhide-coated paper bags and polyethylene plastic bags. Analysis of the long-term stability test results using the G1-entropy weight method combined with orthogonal experiment revealed that storage conditions had the greatest impact on both raw and salt-processed products， followed by packaging materials， while the packaging method had the least influence. For both types of small packaged Alismatis Rhizoma decoction pieces， modified atmosphere storage demonstrated superior efficacy compared to cool storage or room temperature storage. Storage in aluminum foil-polyethylene composite bags was superior to polyethylene plastic bags or cowhide-coated paper bags. However， the stability of sealed raw products was better than vacuum-packed ones， whereas vacuum-packed salt-processed products exhibited greater stability than their sealed counterparts. ConclusionBased on the results of the quality changes of small packaged Alismatis Rhizoma decoction pieces under different storage conditions， it is recommended that the suitable storage packaging conditions for small packaged raw products are sealed packaging with aluminum foil polyethylene composite bags and controlled atmosphere storage， and the suitable storage and packaging conditions for small packaged salt-processed products are vacuum packaging with aluminum foil polyethylene composite bags and controlled atmosphere storage.

ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

As one of the most common malignant tumors， digestive system tumors exhibit an increase in the incidence and mortality year by year. Its pathogenesis is complex， making it difficult to carry out early prevention. Autophagy is a process in which cells use lysosomes to degrade their organelles and macromolecules to maintain cellular homeostasis under the regulation of autophagy-related genes. Cellular autophagy has a dual regulatory effect on the tumor microenvironment， which always affects the occurrence and development of digestive system tumors. Therefore， the effect and mechanism of action of cellular autophagy on digestive system tumors have become a hot topic in tumor therapy in recent years. Meanwhile， the remarkable research results of targeted autophagy drugs indicate that cellular autophagy may become an important target for anti-digestive system tumors. Traditional Chinese medicine （TCM） has been widely used in the comprehensive treatment of digestive system tumors with good efficacy. A variety of active ingredients in TCM， such as flavonoids， glycosides， terpenoids， quinones， and alkaloids， can increase the expression of autophagy-associated proteins microtubule-associated protein 1 light chain 3 （LC3）Ⅱ/Ⅰ， autophagy-related gene （ATG）5， ATG7， inhibit the expression of autophagy-related protein p62 ， and induce autophagy in digestive system tumor cells， thereby exerting the anti-digestive system tumor effect. By summarizing the research results in recent years on the modulation of cell autophagy by active ingredients in TCM to fight against digestive system tumors， this paper analyzed the relevant signaling pathways， regulatory factors， and functional characteristics of cell autophagy modulation， so as to elucidate the mechanism by which active ingredients of TCM induce autophagy and to provide ideas and references for clinical application.

As one of the most common malignant tumors， digestive system tumors exhibit an increase in the incidence and mortality year by year. Its pathogenesis is complex， making it difficult to carry out early prevention. Autophagy is a process in which cells use lysosomes to degrade their organelles and macromolecules to maintain cellular homeostasis under the regulation of autophagy-related genes. Cellular autophagy has a dual regulatory effect on the tumor microenvironment， which always affects the occurrence and development of digestive system tumors. Therefore， the effect and mechanism of action of cellular autophagy on digestive system tumors have become a hot topic in tumor therapy in recent years. Meanwhile， the remarkable research results of targeted autophagy drugs indicate that cellular autophagy may become an important target for anti-digestive system tumors. Traditional Chinese medicine （TCM） has been widely used in the comprehensive treatment of digestive system tumors with good efficacy. A variety of active ingredients in TCM， such as flavonoids， glycosides， terpenoids， quinones， and alkaloids， can increase the expression of autophagy-associated proteins microtubule-associated protein 1 light chain 3 （LC3）Ⅱ/Ⅰ， autophagy-related gene （ATG）5， ATG7， inhibit the expression of autophagy-related protein p62 ， and induce autophagy in digestive system tumor cells， thereby exerting the anti-digestive system tumor effect. By summarizing the research results in recent years on the modulation of cell autophagy by active ingredients in TCM to fight against digestive system tumors， this paper analyzed the relevant signaling pathways， regulatory factors， and functional characteristics of cell autophagy modulation， so as to elucidate the mechanism by which active ingredients of TCM induce autophagy and to provide ideas and references for clinical application.

Objective To explore the feasibility and reference value of allogeneic lung transplantation and postoperative monitoring in miniature pigs for lung transplantation research. Methods Two miniature pigs (R1 and R2) underwent left lung allogeneic transplantation. Complement-dependent cytotoxicity tests and blood cross-matching were performed before surgery. The main operative times and partial pressure of arterial oxygen (PaO₂) after opening the pulmonary artery were recorded during surgery. Postoperatively, routine blood tests, biochemical blood indicators and inflammatory factors were detected, and pathological examinations of multiple organs were conducted. Results The complement-dependent cytotoxicity test showed that the survival rate of lymphocytes between donors and recipients was 42.5%-47.3%, and no agglutination reaction occurred in the cross-matching. The first warm ischemia times of D1 and D2 were 17 min and 10 min, respectively, and the cold ischemia times were 246 min and 216 min, respectively. Ultimately, R1 and R2 survived for 1.5 h and 104 h, respectively. Postoperatively, in R1, albumin (ALB) and globulin (GLB) decreased, and alanine aminotransferase increased; in R2, ALB, GLB and aspartate aminotransferase all increased. Urea nitrogen and serum creatinine increased in both recipients. Pathological results showed that in R1, the transplanted lung had partial consolidation with inflammatory cell infiltration, and multiple organs were congested and damaged. In R2, the transplanted lung had severe necrosis with fibrosis, and multiple organs had mild to moderate damage. The expression levels of interleukin-1β and interleukin-6 increased in the transplanted lungs. Conclusions The allogeneic lung transplantation model in miniature pigs may systematically evaluate immunological compatibility, intraoperative function and postoperative organ damage. The data obtained may provide technical references for subsequent lung transplantation research.

Objective To summarize and analyze the efficacy and influencing factors of second allogeneic hematopoietic stem cell transplantation (allo-HSCT) for acute leukemia relapsing after the first allo-HSCT. Methods Clinical data of 17 patients with acute leukemia who underwent second allo-HSCT at Peking University First Hospital from January 2005 to December 2024 were retrospectively analyzed. Results Among the 17 patients, 7 achieved long-term disease-free survival after second transplantation. The median progression-free survival after successful second transplantation was 7 months (range 8 days to 69 months). The relapse fatality was 24%, and the transplant-related fatality was 35%. Conclusions Second transplantation is an effective treatment for relapsed and refractory acute leukemia, but the relapse fatality and transplant-related fatality remain high. Patient age, time of relapse after the first transplantation and disease status before second transplantation are all factors that affect the efficacy of second transplantation. Younger age, late relapse and complete remission of disease before second transplantation are all beneficial for long-term disease-free survival after second transplantation.

OBJECTIVE To investigate the effects and mechanisms of Lycium ruthenicum Murr. in improving sleep. METHODS Network pharmacology was employed to identify the active components of L. ruthenicum and their associated disease targets， followed by enrichment analysis. A caffeine‑induced zebrafish model of sleep deprivation was established ， and the zebrafish were treated with L. ruthenicum Murr. extract （LRME） at concentrations of 0.1， 0.2 and 0.4 mg/mL， respectively； 24 h later， behavioral changes of zebrafish and pathological alterations in brain neurons were subsequently observed. The levels of inflammatory factors [interleukin-6 （IL-6）， IL-1β， IL-10， tumor necrosis factor-α （TNF-α）]， oxidative stress markers [superoxide dismutase （SOD）， malondialdehyde （MDA）， glutathione peroxidase （GSH-Px）， catalase （CAT）]， and neurotransmitters [5- hydroxytryptamine （5-HT）， γ-aminobutyric acid （GABA）， glutamic acid （Glu）， dopamine （DA）， and norepinephrine （NE）] were measured. The protein expression levels of protein kinase B1 （AKT1）， phosphorylated AKT1 （p-AKT1）， epidermal growth factor receptor （EGFR）， B-cell lymphoma 2 （Bcl-2）， sarcoma proto-oncogene，non-receptor tyrosine kinase （SRC）， and heat shock protein 90α family class A member 1 （HSP90AA1） in the zebrafish were also determined. RESULTS A total of 12 active components and 176 intersecting disease targets were identified through network pharmacology analysis. Among these， apigenin， naringenin and others were recognized as core active compounds， while AKT1， EGFR and others served as key targets； EGFR tyrosine kinase inhibitor resistance signaling pathway was identified as the critical pathway. The sleep improvement rates in zebrafish of LRME low-， medium-， and high-dose groups were 54.60%， 69.03% and 77.97%， 开发。E-mail：hjp_yft@163.com respectively， while the inhibition ratios of locomotor distance were 0.57， 0.83 and 0.95， respectively. Compared with the model group， the number of resting counts， resting time and resting distance were significantly increased/extended in LRME medium- and high-dose groups （P＜0.05）. Neuronal damage in the brain was alleviated. Additionally， the levels of IL-6， IL-1β， TNF-α， MDA， Glu， DA and NE， as well as the protein expression levels of AKT1， p-AKT1， EGFR， SRC and HSP90AA1， were markedly reduced （P＜0.05）， while the levels of IL-10， SOD， GSH-Px， CAT， 5-HT and GABA， as well as Bcl-2 protein expression， were significantly elevated （P＜0.05）. CONCLUSIONS L. ruthenicum Murr. demonstrates sleep-improving effects， and its specific mechanism may be related to the regulation of inflammatory responses， oxidative stress， neurotransmitter balance， and the EGFR tyrosine kinase inhibitor resistance signaling pathway.

Objective:To assess the status of undernutrition and appropriate catch-up growth in extremely preterm infants within 24 months of corrected age (CA).Methods:A retrospective cohort study was conducted. A total of 422 extremely preterm infants born at Shenzhen Maternity and Child Healthcare Hospital, Women and Children's Medical Center, Southern Medical University from January 2017 to December 2022 and followed up until 24 months of CA were enrolled. The extremely preterm infants were grouped by gestational age at birth (<25, 25-26, 27 weeks), birth weight (<500, 500-749, 750-999,≥1 000 g), weight for gestational age (large for gestational age (LGA), appropriate for gestational age (AGA), small for gestational age (SGA)) and sex. Weight data within 24 months of CA were collected every 3 months. Nutritional insufficiency, growth rate, and achievement of adequate catch-up growth were analyzed during the period from 0 to 24 months of CA. Z-score method was used to analyze data. Fenton 2013 preterm growth charts (Fenton 2013) were used before 40 weeks of corrected gestational age, and World Health Organization child growth standards (2009) fitted Z-scores were applied from 40 weeks of CA. Changes in weight Z-scores of extremely preterm infants from 0 to 24 months of CA were observed and compared, the occurrence of moderate to severe malnutrition and growth retardation was determined, nutritional insufficiency was assessed, and growth rate as well as the achievement of appropriate catch-up growth were analyzed. The Lambda-mu-sigma method combined with the Z-score fitting model was used to fit and analyze the distribution characteristics of weight percentiles in extremely preterm infants. The Chi-square test was used to compare differences among groups.Results:A total of 422 extremely preterm infants were included, with a gestational age at birth of 26.3(25.4, 27.2) weeks and a birth weight of (880±177) g. Among them, 238 were males and 184 were females; 36 cases (8.5%) were LGA, and 16 cases (3.8%) were SGA. During follow-up within 24 month of CA, 89 cases (21.1%) developed moderate to severe malnutrition. When compared separately among different birth weight and gestational age at birth groups, there had both statistically differences in the incidence of moderate to severe malnutrition ( χ2=42.94 and 9.17, both P<0.05). The incidence was the highest in the birth weight of CA<500 g group and the <25 weeks gestational age at birth group, while it was the lowest in the birth weight of CA≥1 000 g group and the 27 weeks gestational age at birth group in their respective groups. Growth retardation occurred in 5.2% (22/422). However, there had statistically differences in the incidence of growth retardation among different birth weight and gestational age at birth groups, in each grouped time interval ( χ2=21.61 and 4.30, both P<0.05). The proportions of rapid growth were relatively high in the 0-3 months and 3-6 months of CA groups, which were 96 cases (27.4%) and 98 cases (26.6%), respectively. Overall, appropriate catch-up growth was achieved in 341 cases (80.8%) from 0 to 24 months of CA. There had statistically differences in the completion rate of appropriate catch-up growth among different birth weight and gestational age at birth groups ( χ2=23.65 and 7.08, both P<0.05). The completion rate was the highest in the birth weight of CA<500 g group and the <25 weeks of gestational age at birth group, while it was the lowest in the birth weight of CA≥1 000 g group and the 27 weeks of gestational age at birth group. Conclusions:The lower the birth weight and gestational age of extremely preterm infants, the higher the incidence of moderate to severe malnutrition and the lower the achievement rate of adequate catch-up growth within 24 months of CA. The period of 0-6 months of CA is the critical window for catch-up in extremely preterm infants.

In the era of evidence-based medicine， the progress of medical science and technology has enriched medical diagnostic tools and treatment methods， but it has also led to the loss of medical warmth and the alienation of the doctor-patient relationships. William Osler emphasized that while medical technology advances， attention should also be paid to the practice of narrative medicine and the development of physician’s narrative literacy. The view of the physician he advocated reminds us that the core of medicine still lies in the narrative connection between doctors and patients， as well as a deep understanding of human nature. By exploring the relationship between Osler’s view of the physician and narrative medicine as well as physician’s narrative literacy， this paper analyzed the methods of cultivating physician’s narrative literacy， providing references for modern medical education and practice， and assisting in the harmony and unity of science and technology and humanity.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.