A 42-year-old male with chest tightness and dyspnea was admitted to the hospital. Chest CT indicated diffuse interstitial lung infiltration. Despite receiving anti-infective therapy, glucocorticoid therapy, and immunosuppressive agents, the patient developed refractory hypoxaemia. Endotracheal intubation and invasive mechanical ventilation failed to improve oxygenation. Therefore the patient was diagnosed with rapidly progressive interstitial lung disease (RP-ILD) accompanied by type Ⅰ respiratory failure. Veno-venous (VV) extracorporeal membrane oxygenation (ECMO) was initiated, and oxygenation improved in this patient. The patient subsequently underwent bilateral lung transplantation with veno-arterio-venous (VAV) ECMO support. ECMO machine was withdrawn on day 1, and extubation was achieved on day 9 after surgery. Histopathology revealed fibrotic nonspecific interstitial pneumonia (NSIP) with hyaline membrane formation. The patient developed ICU-acquired myasthenia and received early rehabilitation, with gradual recovery of muscle strength. During follow-up, graft lung function remained stable. This case demonstrates that ECMO can serve as a bridge to lung transplantation in RP-ILD patients.

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.

Aim To investigate the protective effect of Shengmai Yin on myocardial ischemia/reperfusion in-jury(MI/RI)in vitro and in vivo and to unravel the underlying mechanism.Methods SD rats were divid-ed into the sham group,model group,and Shengmai Yin group(SM).Rat MI/RI model was established.Cardiac function,infarct area,pathological changes,cardiomyocyte apoptosis,macrophage infiltration,and serum cTnT and CK-MB levels were measured.The mRNA and protein expressions of Calpain-1 and Cal-pain-2 were assessed.The hypoxia/reoxygenation(H/R)model was constructed in H9c2 cells.The active ingredients of Shengmai Yin were screened using net-work pharmacology and verified by CCK-8.In the car-diomyocytes H/R model,Fluo-4 AM staining was used to detect the changes of Ca2+levels.Results Com-pared with model group,LVEF and LVFS of Shengmai Yin-treated rats increased,myocardial infarction area was reduced,while myocardial tissue injury was allevi-ated.Myocardial apoptosis rate and the number of macrophages were reduced.Similarly,cTnT and CK-MB levels decreased.In addition,the expression lev-els of Calpain-1 and Calpain-2 mRNA and protein de-creased in the SM treatment group.Under the H/R model,all the active ingredients of Shengmai decoction had protective effects on cardiomyocytes,and the treat-ment could reduce the level of Ca2+in cardiomyocytes.Conclusions Shengmai Yin has protective effects on MI/RI in rats.This effect may be related to the de-crease in Ca2+levels,as well as Calpain-1 and Calap-in-2 mRNA and protein expression.

Hypertensive nephropathy is one of the common chronic kidney diseases in China,the morbidity and mortality are increasing year by year,which seriously endangers the physical and mental health of patients.Traditional Chinese medicine believes that human is an organic whole,the five viscera and six organs are closely related in physiology and pathology,based on the theory of"holistic concept",the application of Chinese medicine in the treatment of hypertensive nephropathy can effectively improve kidney function and reduce the occurrence of adverse reactions.Therefore,based on the theory of"five viscera in one",this paper summarizes the etiology and pathogenesis of hypertensive nephropathy and the treatment of hypertensive nephropathy from the five aspects of liver,heart,spleen,lung and kidney,aiming to provide new ideas for the prevention and treatment of kidney disease by traditional Chinese medicine.

A 75-year-old male patient with non-small cell lung cancer in the lower lobe of the left lung underwent left lobectomy, followed by 4 cycles of adjuvant chemotherapy with paclitaxel and platinum, 4 cycles of chemotherapy with docetaxel and cisplatin, and immunotherapy with sintilimab, 13 cycles of immunotherapy with sintilimab monotherapy, and 5 cycles of endostatin and sintilimab, spanning a total of 5 years. Due to disease progression, he received the monotherapy with anlotinib, 42 days later, the patient developed intestinal perforation, and laparoscopic ileal perforation repair surgery was performed. During the operation, a perforation with a diameter of about 1 cm was observed in the ileum, indicating the outflow of digestive fluid and a large amount of purulent fluid accumulation in the pelvic cavity; no signs of gastrointestinal tumor metastasis were observed. After surgery, the patient developed abdominal infection and peritonitis, and was given symptomatic and supportive treatments such as anti-infection for 7 days. However, the patient developed severe complications such as lung infection, heart failure, sepsis, and respiratory failure, and died.

Objective:To investigate the role of YTHDF2 in cervical lesions and its potential molecular mechanism.Methods:Gene expression data of cervical tissue were obtained from the GEO database to analyze the expression of YTHDF2 mRNA and perform pathway enrichment analysis. Patients with cervical lesions diagnosed by thinprep cytologic test in Gynecological Outpatient Department of Maternal and Child Health Hospital in Jiexiu, Shanxi Province, were selected as the research subjects. Data of cervical lesions and cervical exfoliated cells were collected. HPV infection status was detected by flow-through hybridization, and the expression of YTHDF2 mRNA was detected by reverse transcription real-time polymerase chain reaction. The expression of YTHDF2 in cervical lesions and the mediating role of HPV infection in the relationship between YTHDF2 and squamous intraepithelial lesion (SIL) were evaluated. YTHDF2-related genes were screened from multiple datasets in the GEO and ENCORI databases, and their expression, immune infiltration, and survival analysis were performed to assess the association between YTHDF2 and prognosis. Results:Compared with normal cervical tissue, YTHDF2 was highly expressed in cervical lesion tissue ( P<0.05). A total of 3 672 differentially expressed genes were screened from the dataset GSE49339. Gene Ontology analysis showed that YTHDF2 was mainly involved in transcription regulation. Kyoto Encyclopedia of Genes and Genomes analysis showed that YTHDF2 might be related to HPV infection and other signaling pathways. In the mediation analysis, χ2 test results showed that the expression level of YTHDF2 was significantly different among groups ( χ2=22.47, P<0.001). Trend χ2 test further showed that the expression level of YTHDF2 was upregulated with the degree of cervical precancerous lesions (trend χ2=10.26, P=0.001). Multivariate logistic regression analysis indicated that high YTHDF2 expression increased the risk of low-grade squamous intraepithelial lesions ( OR=3.15, 95% CI: 1.93-5.15) and high-grade squamous intraepithelial lesions ( OR=1.85, 95% CI: 1.01-3.39). Mediation effect analysis revealed a partial mediating effect of HPV infection between YTHDF2 and SIL, accounting for 32.02% of the total effect. Twelve YTHDF2 related genes were screened by the intersection of multiple datasets. The immune infiltration analysis results showed that YTHDF2 and related genes KLF4, E2F3 and HOXC6 were associated with immune infiltration (all P<0.05). Multivariate Cox proportional hazard regression model analysis showed that low expression of KLF4 ( HR=0.53, 95% CI: 0.30-0.94) and high expression of RHOB ( HR=1.80, 95% CI: 1.04-3.13) were risk factors for the prognosis of cervical cancer. Conclusion:YTHDF2 is highly expressed in cervical lesions and may have been involved in the regulation of HPV infection-related pathways and its downstream related genes are related to immune infiltration and prognosis of cervical cancer, providing a theoretical basis for the study of mechanisms related to cervical lesions.

Objective To analyze the imaging features of cerebral small vessel disease in patients with type 2 diabetes mellitus by multimodal MRI.Methods The clinical data of 160 patients with cerebral small vessel disease admitted to our hospital from January to December 2020 were retrospectively analyzed.According to whether they were complicated with type 2 diabetes mellitus,they were divided into the diabetic group and the non-diabetic group,with 80 cases in each group.Both groups underwent multimodal MRI scans.And the severity of lacunar infarction,the severity of subcortical and periventricular white matter lesions,white matter integral and cerebral microbleeds of patients in the two groups were compared.Results The severity of lacunar infarction(χ2=34.076,P=0.001),subcortical white matter lesions(χ2=25.000,P=0.001),periventricular white matter lesions(χ2=22.895,P=0.001)and white matter integral(t=12.370,P=0.001)of patients in the diabetic group were significantly higher than those in the non-diabetic group.No cerebral microbleeds were detected in either group of patients.Conclusion Patients with cerebral small vessel disease and type 2 diabetes mellitus show characteristic multimodal MRI changes.The increase in the number of lacunar infarction lesions and the aggravation of white matter lesions can be used as the characteristic imaging basis for the diagnosis of type 2 diabetes mellitus related cerebral small vessel disease.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To evaluate the transition rules of normal body mass index(BMI),overweight and metabolic syndrome(MetS)in patients with major depressive disorder(MDD).Methods Patients with MDD who had multiple admission records between Jan 2016 and Nov 2021 in Beijing Anding Hospital,Capital Medical University were included.Based on the overweight and metabolic syndrome status assessed at each admission,the patients were categorized into three states:normal BMI,overweight and metabolic syndrome.A multi-state Markov model was used to analyze the transition intensity and transition frequency between three states and the influence of covariates on transitions.Results A total of 892 records of 398 subjects were included,with a median age of 56 years old and 31.4% males.The median follow-up period was 40 months.The multi-state model showed that there were 494 transitions between the three states,of which 5.1% moved from normal BMI to overweight and 5.5% moved from overweight to MetS.The intensity of transition was the highest from overweight to MetS,9.52 times greater than overweight to normal BMI.After 48.53 months,MDD patients with normal BMI began to transition to MetS.For overweight MDD patients,the transition to MetS started after 8.77 months.MDD patients with normal BMI or overweight had 31.4% and 50.4% probabilities of developing Mets after 36 months.For MDD patients comorbid with MetS,the probability of staying at MetS was 51.2% after 36 months.Multivariate analysis showed that being unmarried was a risk factor against developing overweight in normal BMI MDD patients,while a higher level of education was a protective factor against developing MetS in overweight MDD patients.Conclusion MDD patients exhibited a higher intensity and risk of developing MetS,and it is not easy to reverse MetS,suggesting that BMI management and MetS intervention should be strengthened in MDD patients.