Background/Aims: Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provide an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). Methods: Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). Results: The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and highrisk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed an HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC=0.8333, 0.8145 and 0.7958 for validation cohort, respectively). Conclusions We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients.

Background/Aims: Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provide an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). Methods: Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). Results: The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and highrisk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed an HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC=0.8333, 0.8145 and 0.7958 for validation cohort, respectively). Conclusions We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients.

Background/Aims: Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provide an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). Methods: Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). Results: The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and highrisk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed an HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC=0.8333, 0.8145 and 0.7958 for validation cohort, respectively). Conclusions We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients.

Objective:To compare the differences in surgical safety and postoperative cosmetic effects between endoscopic nipple-sparing mastectomy with immediate prepectoral prosthesis breast reconstruction and conventional nipple-sparing mastectomy with immediate subpectoral prosthesis breast reconstruction.Methods:The clinical data of early breast cancer patients admitted to the Department of Breast Surgery of Peking University Peoples Hospital from Oct 1, 2022 to Sep 13, 2023 was retrospectively analyzed.Results:According to the surgical method, the patients were divided into endoscopic surgery group (30 cases) and traditional surgery group (46 cases). There were no significant differences in the basic clinicopathological data, and the number of sentinel lymph nodes taken and axillary lymph nodes dissected between the patients in two groups (all P>0.05). Compared with that in traditional surgery group, the patients in endoscopic surgery group had longer operation time and more wound drainage volumes 3 days after surgery (all P<0.05). There was no significant differences in the probability of postoperative complications between the patients in two groups (all P>0.05), however, the proportion of nipple-areola complex necrosis in patients of endoscopic surgery group (10.0%) was lower than that of traditional surgery group (26.1%). Conclusions:The single-port insufflation technique-assisted endoscopic nipple-sparing mastectomy with immediate prepectoral prosthesis breast reconstruction maximize the cosmetic effect. Under the premise of strict selection of indications, it can be an optional surgical method.

AIM:To establish a severe pneumonia mouse model induced by bacterial infection.METHODS:A total of 102 male SPF C57BL/6J mice were randomly divided into a control group and a model group.Klebsiella pneu-moniae was administered via tracheal instillation at a concentration of 5×109 CFU.Mice were euthanized on days 1,2,4,8,and 14 post-infection to assess general condition,body weight,mortality,white blood cell and neutrophil counts,in-flammatory markers,and pathological changes in lung,heart,liver,spleen,kidney,and intestinal tissues.RESULTS:Mice in the model group exhibited symptoms such as dyspnea and huddling from 6 hours to 4 days post-infection,which progressively worsened,accompanied by continuous weight loss(P<0.01).These symptoms gradually resolved between days 5 and 14.Arterial oxygen saturation in the model group dropped to 80.7%from days 1 to 8(P<0.01)but returned to normal from days 9 to 14.A total of 23 model mice died between days 1 and 9,with no deaths thereafter,resulting in a mortality rate of 31.9%(P<0.01).Pathological examination revealed inflammatory cell infiltration,congestion,and ede-ma in lung tissue from days 1 to 2,with continued inflammatory cell infiltration,alveolar structural disorganization from days 4 to 8,and alveolar rupture and fusion by day 14(P<0.05 or P<0.01).Additionally,model mice showed significant increases in neutrophil count,white blood cell count,protein content in bronchoalveolar lavage fluid,total cell count,neutrophil ratio,and levels of inflammatory factors tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β)and IL-6 in peripheral blood from days 1 to 8(P<0.05 or P<0.01).No significant pathological changes were observed in heart and liver tissues,while spleen,kidney,and intestinal tissues exhibited notable pathological changes:indistinct boundaries be-tween red and white pulp in the spleen,significant congestion and edema around renal glomeruli,renal tubules,and col-lecting ducts,and extensive inflammatory cell infiltration in the colonic mucosa.CONCLUSION:Tracheal instillation of 5×109 CFU Klebsiella pneumoniae induces severe pathological changes in the lungs of mice,offering a robust model for studying the pathogenesis and treatment of severe pneumonia.

Objective To explore the roles of iron overload in pro-atherogenic activation of foam cells.Methods RAW264.7 and MOVAS cells were stimulated by oxLDL,ferrimine citrate and deferoxamine respectively.Prussian Blue and Oil Red O staining were used to detect iron deposition and foam cell.CCK-8 test,DHE probe,ELISA,RT-qPCR were performed to detect the cell death rate,reactive oxygen species(ROS)generation,lipid peroxidation molecules[glutathione peroxidase(GSH),glutathione peroxidase 4(GPX4),malondialdehyde(MDA)content]and the mRNA level of ATP binding cassette transporter A1(ABCA1),ATP binding cassette transporter G1(ABCG1),inductible nitris oxide synthase(iNOS),arginase-1(Arg-1),α-smooth muscle actin(α-SMA),smooth muscle 22 alpha(SM22a),osteopontin(OPN),Interleukin-1β(IL-1β),tumor necrosis factor-α(TNF-α).Results Iron overload could reduced reverse cholesterol transporters(ABCA1 and ABCG1),promote foam cells generation,increased cell death rate,induced the expression of lipid peroxidation molecules(GSH,GPX4,MDA),and promoted pro-inflammatory M1 marker of macrophage and synthetic marker expression of vascular smooth muscle cell(VSMC)and inflammatory cytokines(IL-1β,TNF-α).Conclusion Iron overload promotes the generation of foam cells derived from macrophages and smooth muscle cells and transform them into pro-atherosclerotic phenotype,aggravates cell lipid peroxidation and inflammatory reaction,which contributes to the progress of atherosclerosis.

In the process of conducting implementation research on health service issues, stakeholders' preference for contents related to evidence-based practice (EBP) and implementation strategies is closely related to whether EBP can be effectively implemented.However, multiple preference assessment methods exist, each with their own strengths, weaknesses, and application scenarios, which makes it challenging for researchers to select appropriate and effective preference assessment methods. This paper aims to review the origins, characteristics, and application scenarios of commonly used preference assessment methods, with the hope of providing valuable reference and lessons for domestic scholars to select and apply appropriate preference assessment methods in implementation research.