In different stages of schizophrenia (SZ), alterations in gray matter volume (GMV) of patients are normally regulated by various pathological mechanisms. Instead of analyzing stage-specific changes, this study employed a multivariate structural covariance model and sliding-window approach to investigate the illness duration-related developmental trajectory of GMV in SZ. The trajectory is defined as a sequence of brain regions activated by illness duration, represented as a sparsely directed matrix. By applying this approach to structural magnetic resonance imaging data from 145 patients with SZ, we observed a continuous developmental trajectory of GMV from cortical to subcortical regions, with an average change occurring every 0.208 years, covering a time window of 20.176 years. The starting points were widely distributed across all networks, except for the ventral attention network. These findings provide insights into the neuropathological mechanism of SZ with a neuroprogressive model and facilitate the development of process for aided diagnosis and intervention with the starting points.
Humans ; Schizophrenia/pathology* ; Gray Matter/pathology* ; Magnetic Resonance Imaging ; Disease Progression ; Male ; Female ; Brain/pathology* ; Cerebral Cortex/pathology* ; Adult

OBJECTIVE: Paridis Rhizoma (Chonglou in Chinese), a traditional Chinese herbal medicine, has been shown have strong anti-tumor effects. Paris saponin VII (PSVII), an active constituent isolated from Paridis Rhizoma, was demonstrated to significantly suppress the proliferation of BxPC-3 cells in our previous study. Here, we aimed to elucidate the anti-pancreatic ductal adenocarcinoma (PDAC) effect of PSVII and the underlying mechanism. METHODS: Cell viability was determined by CCK-8, colony formation, and cell migration assays. Cell apoptosis and reactive oxygen species (ROS) production were measured by flow cytometry with annexin V/propidine iodide (Annexin V/PI) and 2',7'-dichlorodihydrofluorescein diacetate (DCFH-DA), respectively. Pyroptosis was evaluated by morphological features, Hoechst 33342/PI staining assay, and release of lactate dehydrogenase (LDH). JC-1 fluorescent dye was employed to measure mitochondrial membrane potential. Western blotting and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) were used to determine the levels of proteins or mRNAs. The effect in vivo was assessed by a xenograft tumor model. RESULTS: PSVII inhibited the viability of PDAC cells (BxPC-3, PANC-1, and Capan-2 cells) and induced gasdermin E (GSDME) cleavage, as well as the simultaneous cleavage of Caspase-3 and poly (ADP-ribose) polymerase 1 (PARP). Knockdown of GSDME shifted PSVII-induced pyroptosis to apoptosis. Additionally, the effect of PSVII was significantly attenuated by Z-Asp(OMe)-Glu(OMe)-Val-Asp(OMe)-fluoromethylketone (Z-DEVD-FMK), on the induction of GSDME-dependent pyroptosis. PSVII also elevated intracellular ROS accumulation and stimulated Bax and Caspase-3/GSDME to conduct pyroptosis in PDAC cells. The ROS scavenger N-acetyl cysteine (NAC) suppressed the release of LDH and inhibited Caspase-9, Caspase-3, and GSDME cleavage in PDAC cells, ultimately reversing PSVII-induced pyroptosis. Furthermore, in a xenograft tumor model, PSVII markedly suppressed the growth of PDAC tumors and induced pyroptosis. CONCLUSION These results demonstrated that PSVII exerts therapeutic effects through Caspase-3/GSDME-dependent pyroptosis and may constitute a novel strategy for preventing chemotherapeutic resistance in patients with PDAC in the future.

This paper systematically reviews the application progress of machine learning in perioperative transfusion medicine, focusing on its significant achievements in identifying transfusion risk factors, accurately predicting transfusion requirements, and enabling dynamic monitoring with real-time feedback. It also examines the methodologies, performance metrics, and clinical significance of constructing machine learning models across various surgical specialties, including orthopaedics, cardiac surgery, trauma, and obstetrics. The review further analyzes major challenges currently facing the field, including data bias, model overfitting and interpretability issues, alongside privacy and ethical concerns. Finally, it outlines future directions, highlighting how multimodal data fusion, deep learning applications, multicentre validation, and interdisciplinary collaboration are poised to significant potential for advancing the clinical translation of intelligent transfusion models, achieve personalized precision transfusion management, and enhance patient safety and therapeutic outcomes.

Objective To explore the clinical efficacy of dulaglutide combined with metformin in the treatment of obese patients with type 2 diabetes mellitus(T2DM).Methods A total of 200 obese patients with T2DM who were treated in Shanghai Jiading District Anting Hospital from January 2021 to January 2023 were randomly divided into liraglutide group(n=100)and dulaglutide group(n=100).The liraglutide group was treated with liraglutide combined with metformin,and the dulaglutide group was treated with dulaglutide combined with metformin.Both groups were treated for 3 months.The body metabolic indexes[fasting blood glucose(FBG),2 h postprandial blood glucose(2 h PBG),hemoglobin(HbA1 c),total cholesterol(TC),triglyceride(TG)],body fat composition[body fat rate,body mass index,subcutaneous fat rate of limbs,visceral fat index]and serum adipokines(adiponectin,neuropeptide Q(NPQ),asprosin,irisin)levels were compared before treatment and 3 months after treatment.The clinical efficacy and adverse reactions of the two groups were observed.Results After 3 months of treatment,FBG,2 h PBG,HbAlc,TC,TG,body fat rate,body mass index,subcutaneous fat rate of limbs,visceral fat index and asprosin in the two groups were lower than those before treatment,and those in the dulaglutide group were lower than those in the liraglutide group(P＜0.05).After 3 months of treatment,the levels of serum adiponectin,NPQ and irisin in the two groups were higher than those before treatment,and the increase in the dulaglutide group was greater than that in the liraglutide group(P＜0.05).The effective rate of dulaglutide group(98.00%)was higher than that of liraglutide group(91.00%)(P＜0.05).There was no significant difference in the incidence of adverse reactions between the two groups(11.00%,14.00%)(P＞0.05).Conclusion Dulaglutide combined with metformin could improve the metabolic status of obese T2 DM patients,regulate body fat composition and serum adipokines,with significant clinical efficacy and safety.

Surgical operation is the main treatment of oral and maxillofacial tumors.Dysphagia is a common postoperative complication.Swal-lowing disorder can not only lead to mis-aspiration,malnutrition,aspiration pneumonia and other serious consequences,but also may cause psychological problems and social communication barriers,affecting the quality of life of the patients.At present,there is no systematic evalua-tion and rehabilitation management plan for the problem of swallowing disorder after oral and maxillofacial tumor surgery in China.Combining the characteristics of postoperative swallowing disorder in patients with oral and maxillofacial tumors,summarizing the clinical experience of ex-perts in the field of tumor and rehabilitation,reviewing and summarizing relevant literature at home and abroad,and through joint discussion and modification,a group of national experts reached this consensus including the core contents of the screening of swallowing disorders,the phased assessment of prognosis and complications,and the implementation plan of comprehensive management such as nutrition management,respiratory management,swallowing function recovery,psychology and nursing during rehabilitation treatment,in order to improve the evalua-tion and rehabilitation of swallowing disorder after oral and maxillofacial tumor surgery in clinic.

Objective:To investigate the association of serum fibroblast growth factor 23(FGF23) level with insulin resistance(IR) and sex hormone levels in patients with polycystic ovary syndrome(PCOS).Methods:A retrospective study was performed in eighty-seven patients with PCOS, fifty-seven patients with simple IR, and sixty-one healthy women who were admitted to Affiliated Hospital of Zunyi Medical University during October 2021 and November 2022. According to the homeostasis model assessment-IR index, all subjects were divided into normal control group( n=61), IR group( n=57), PCOS without IR group(PCOS group, n=15), and PCOS+ IR group( n=72). The levels of serum FGF23, adiponectin, and sex hormones in all groups were compared, and their correlations with glucose and lipid metabolism indicators were analyzed. Results:The FGF23 level was significantly elevated in the IR group, while markedly reduced in the PCOS group and PCOS+ IR group, with the PCOS group showing a significantly lower concentration. The adiponectin levels were significantly decreased in the IR group, PCOS group, and PCOS+ IR group(all P<0.05). The correlation analysis showed that FGF23 level was positively correlated with adiponectin and sex hormone binding globulin, and negatively correlated with luteinizing hormone, luteinizing hormone/follicle stimulating hormone, and free testosterone index(all P<0.05). Logistic regression results indicated that both FGF23 and adiponectin could be used as good indicators for the diagnosis of PCOS and PCOS with IR(all P<0.05). Conclusion:FGF23 is closely related to IR and androgen as well, and under certain conditions, it can reflect the severity of IR and hyperandrogenemia in PCOS patients. The cutoff value of FGF23 obtained in this study can provide a good reference for the diagnosis of PCOS diseases.

Objective To employ a mouse model of ABI3BP gene deletion for the detection of postnatal changes in body weight and glucose metabolism and establish a different method of creating a mouse model of low birth weight.Methods Heterozygote mice were mated to produce ABI3BP gene knockout homozygote(ABI3BP-/-)mice,heterozygote(ABI3BP+/)mice,and wild-type(WT)mice.Adult mice from all three groups were evaluated for glucose metabolism markers,including the fasting blood glucose level,glucose tolerance,and insulin tolerance.Additionally,body weight was measured at various postnatal time periods,and the weight ratio of critical organs in adulthood was calculated.Results The gene sequencing result of the polymerase chain reaction product of ABI3BP-/-mice showed that frameshift mutations occurred in the knockout region,with quantitative reverse-transcription polymerase chain reaction analysis demonstrating significantly reduced ABI3BP expression in ABI3BP-/-mice compared with that in WT mice.Notably,the birth weight of ABI3BP-/-mice(1.25±0.08 g)was markedly lower than that of WT mice(1.34±0.12 g)(P＜0.05).Conversely,the weight of adult(120 d)ABI3BP-/mice(27.70±1.93 g)was significantly higher than that of WT mice(23.64±1.34 g)(P＜0.01).The ratios of key organ weights to body weight were not significantly different between the groups(P＞0.05).Fasting blood glucose and insulin tolerance tests showed no significant variations between the groups.However,glucose tolerance tests indicated that ABI3BP-/-mice had lower blood glucose levels(15.68±7.04 mmol/L)than WT mice(23.01±5.75 mmol/L).Conclusions Deletion of the ABI3BP gene result in mice with low birth weight,poor growth recuperation,and inadequate glucose tolerance in adulthood,similar to the clinical growth traits of low-birth-weight human neonates.Therefore,this mouse model is a promising choice for the study of low birth weight.

Purpose/Significance To construct a Chinese medical knowledge Q&A corpus dataset as a standardized evaluation bench-mark for large language models(LLMs)in the medical domain,so as to improve the accuracy and efficiency of LLMs in handling Chinese medical questions.Method/Process Chinese medical paper knowledge,medical terminology explanations and supplementary questions are acquired from the Chinese medical licensing examination,and open-source Chinese medical Q&A datasets are encompassed in the developed Q&A datasets.Result/Conclusion The Chinese medical knowledge Q&A corpus datasets enrich the sources of existing datasets and promote the objective and comprehensive quantitative evaluation of large models in the medical field.In the near future,additional data such as electronic medical records and those from online health communities will be used to strengthen the support of artificial intelli-gence for the Healthy China strategy.

Purpose/Significance To reveal secondary infection knowledge related to infectious diseases by mining public literature data,and to promote the research and construction of the secondary infection monitoring platform,so as to improve the prevention and control level of infectious diseases in China.Method/Process The literature based discovery method is firstly adopted to mine and ana-lyze the secondary diseases from large-scale biomedical literature data,taking viral hepatitis,human immunodeficiency virus(HIV)infection and tuberculosis infection as the examples.Result/Conclusion 3 kinds of secondary diseases including infectious diseases,non-infectious diseases and even tumors,are found from more than 36.8 million PubMed literature.The research results not only validate that this method provides a new approach for systematically and comprehensively reveal secondary infection knowledge related to infectious diseases,but also provide more powerful literature evidences for effective monitoring and early intervention of secondary diseases.

Objective:To explore the effects of different polymers on in vitro biomimetic mineralization of small intestinal submucosa(SIS)scaffolds,and to evaluate the physicochemical properties and bio-compatibility of the SIS scaffolds.Methods:The SIS scaffolds prepared by freeze-drying method were im-mersed in simulated body fluid(SBF),mineralized liquid containing polyacrylic acid(PAA)and mine-ralized liquid containing PAA and polyaspartic acid(PASP).After two weeks in the mineralized solu-tion,the liquid was changed every other day.SBF@SIS,PAA@SIS,PAA/PASP@SIS scaffolds were ob-tained.The SIS scaffolds were used as control group to evaluate their physicochemical properties and bio-compatibility.We observed the bulk morphology of the scaffolds in each group,analyzed the microscopic morphology by environment scanning electron microscopy and determined the porosity and pore size.We also analyzed the surface elements by energy dispersive X-ray spectroscopy(EDX),analyzed the struc-ture of functional groups by Flourier transformed infrared spectroscopy(FTIR),detected the water ab-sorption rate by using specific gravity method,and evaluated the compression strength by universal me-chanical testing machine.The pro-cell proliferation effect of each group of scaffolds were evaluated by CCK-8 cell proliferation method.Results:Under scanning electron microscopy,the scaffolds of each group showed a three-dimensional porous structure with suitable pore size and porosity,and crystal was observed in all the mineralized scaffolds of each group,in which the crystal deposition of PAA/PASP@SIS scaffolds was more regular.At the same time,the collagen fibers could be seen to thicken.EDX analysis showed that the characteristic peaks of Ca and P were found in the three groups of mineralized scaffolds,and the highest peaks were found in the PAA/PASP@SIS scaffolds.FTIR analysis proved that all the three groups of mineralized scaffolds were able to combine hydroxyapatite with SIS.All the scaf-folds had good hydrophilicity.The compressive strength of the mineralized scaffold in the three groups was higher than that in the control group,and the best compressive strength was found in PAA/PASP@SIS scaffold.The scaffolds of all the groups could effectively adsorb proteins,and PAA/PASP@SIS group had the best adsorption capacity.In the CCK-8 cell proliferation experiment,the PAA/PASP@SIS scaffold showed the best ability to promote cell proliferation with the largest number of living cells observed.Con-clusion:Compared with other mineralized scaffolds,PAA/PASP@SIS scaffolds prepared by mineralized solution containing both PAA and PASP have better physicochemical properties and biocompatibility and have potential applications in bone tissue engineering.