ObjectiveThis paper aims to conduct the feature analysis and correlation analysis on the ocular collateral features and differential metabolites in patients with chronic hepatitis B （CHB） complicated by glucose metabolism disorder （GMD），particularly those with the damp-heat syndrome type，by integrating shadowless scleral imaging and metabolomics technologies. MethodsA total of 313 patients were recruited from the Hepatology and Endocrinology Outpatient Departments of Public Health Clinical Center of Chengdu according to the inclusion/exclusion criteria，and they were divided into a CHB group and a CHB complicated by GMD groups （damp-heat syndrome group and non-damp-heat syndrome group）. All patients underwent high-definition ocular image acquisition and feature extraction using an intelligent analysis system for shadowless scleral imaging to analyze the differences in the counting of morphological feature scores of ocular collaterals among groups. By using a digital sampling method，24 patients from each group were randomly selected，along with 20 healthy volunteers，for untargeted metabolomic analysis of peripheral serum. Differential metabolites were identified，statistically analyzed，and subjected to potential biomarker analysis and pathway enrichment. Spearman method was performed to conduct the correlation analysis on the differential ocular collateral features and differential metabolites，followed by correlation network construction. ResultsCompared with those in the CHB group，patients with CHB complicated by GMD showed significant changes in ocular collateral feature scores such as "hillock"，"blood vessels"，and "pale dusky coloration" （P<0.05）. In comparison with those in the healthy group，metabolites including N-acetylglucosamine，acetylhomoserine，and myo-inositol （AUC>0.7） were identified as potential biomarkers for the disease. Compared with those in the CHB complicated by GMD group with non-damp-heat syndrome，patients with damp-heat syndrome exhibited significant changes in feature scores of "plaques"，"yellow coloration"，"spleen"，and "gallbladder" （P<0.05）. In comparison with those in the healthy group，metabolites such as O²′-4a-cyclic tetrahydrobiopterin，theobromine，xanthurenic acid，and L-glutamic acid 5-phosphate （AUC>0.7） were identified as potential biomarkers for the damp-heat syndrome type. The Spearman correlation analysis reveals weak to moderate linear correlations between the differential scleral collateral features and metabolites. By constructing a "disease-syndrome" network of ocular diagnosis and metabolites，"xanthurenic acid-gallbladder" and "theobromine-plaque/yellow coloration" were identified as specific molecular-phenotypic correlated biomarker clusters for CHB complicated by GMD with dampness-heat syndrome. ConclusionPatients with CHB complicated by GMD demonstrate differential ocular diagnostic features and serum metabolites corresponding to disease states and dampness-heat syndrome. These objective biomarkers can guide both clinical syndrome differentiation and medication. The macro-micro integration based on ocular feature clusters and potential metabolic biomarkers offers an innovative approach to a combined traditional Chinese and Western medicine diagnosis and treatment model for this disease.

Microglia activation-mediated neuroinflammatory responses serve as a critical pathological ba-sis for the development and progression of various brain diseases.The role of circular RNAs(circRNAs)in the regulation of neuroinflammation is increasingly being recognized.This study aimed to investigate the effect and molecular mechanisms of targeted inhibition of circular RNA Homeodomain Interacting Pro-tein Kinase 3(HIPK3)(circHIPK3)on lipopolysaccharide(LPS)-induced microglial polarization in BV2 cells.The results showed that LPS stimulation significantly induced polarization of BV2 cells towards the pro-inflammatory M1 phenotype and upregulated circHIPK3 expression(P＜0.01).Engineered extra-cellular vesicles(EVs)with rabies viral glycoprotein(RVG)loaded with circHIPK3 siRNA(RVG-EVs-sicHIPK3)were successfully constructed.Transmission electron microscopy(TEM)revealed their typi-cal EV morphology.nanoparticle tracking analysis(NTA)indicated a peak particle size of 70 nmn.And Western blotting analysis confirmed the expression of characteristic membrane marker proteins.Treatment with RVG-EVs-sicHIPK3 significantly suppressed the LPS-induced elevation of inflammatory cytokines(TNF-α,IL-6,IL-1β)in the supernatant and reduced the expression of M1 phenotypic marker proteins(CD16 and CD86)(P＜0.01).Concurrently,RVG-EVs-sicHIPK3 increased the number of mitophago-somes within cells,upregulated the ratio of the autophagy-related proteins LC3-Ⅱ/LC3-I(P＜0.01),and downregulated the expression of the autophagy-related protein p62 and mitochondrial-specific proteins(TOMM20 and TIMM23)(P＜0.01).The mitophagy inhibitor Mdivi-1 significantly reversed the RVG-EVs-sicHIPK3-mediated downregulation of inflammatory cytokine levels,M1 marker proteins,and mito-chondrial protein expression(P＜0.01).This study demonstrates that inhibiting circHIPK3 reduces LPS-induced microglial polarization towards the M1 phenotype.The protective mechanism is closely associated with enhanced mitophagic flux and the promotion of damaged mitochondrial clearance.

Objective:To investigate the imaging characteristics of small intestinal epithe-lioid angiosarcoma.Methods:The retrospective and descriptive study was conducted. The clinical data of 5 male patients with small intestinal epithelioid angiosarcoma who were admitted to 3 medical centers, including Yantaishan Hospital of Yantai et al, from January 2013 to December 2023 were collected. The age of 5 patients was 54 (range, 36-73)years. All 5 patients underwent computer tomography (CT) plain scan and dynamic contrast-enhanced scan, with 1 patient also undergoing magnetic resonance imaging (MRI) plain scan. Observation indicators: (1) results of CT and MRI examination; (2) surgical conditions and postoperative pathological examination; (3) follow-up. Measurement data with skewed distribution were represented as M(range), and count data were described as absolute numbers. Results:(1) Results of CT and MRI examination. Of the 5 patients with small intestinal epithelioid angiosarcoma, two cases were primary small intestinal epithelioid angiosarcoma and the other three cases were metastatic small intestinal epithelioid angiosarcoma. None of the five patients exhibited metastasis to other solid organs, and no significant ascites or peritoneal metastases. ① In two cases of primary small intestinal epithelioid angiosarcoma, three tumors were identified, appearing as round soft tissue nodules on CT plain scan, primarily growing intraluminally. The CT value for tumors of those two cases on plain scan were 30, 35, 32 HU, respec-tively. During the arterial phase of enhanced CT scan, moderate enhancement was observed for tumors of those two cases, with CT value of 57, 72, 65 HU, respectively. During the venous phase of enhanced CT scan, significant enhancement was observed for tumors of those two cases, with CT value of 76, 86, 88 HU, respectively. During the delayed phase of enhanced CT scan, slightly decreased enhancement was observed for tumors of those two cases, with CT value of 74, 79, 72 HU, showing no significant necrosis or cystic changes within the tumors. ② In three cases of metastatic small intestinal epithelioid angiosarcoma, four tumors were identified with uneven thickening of the intestinal wall appeared on CT plain scan. The CT value for tumors of those three cases on plain scan were 39, 37, 38, 28 HU, respectively. During the arterial phase of enhanced CT scan, mild to moderate enhancement was observed for tumors of those three cases, with CT value of 57, 56, 52, 45 HU, respectively. During the venous phase of enhanced CT scan, significant enhancement was observed for tumors of those three cases, with CT value of 84, 88, 82, 77 HU, respectively. During the delayed phase of enhanced CT scan, further changes of increased or decreased enhancement was observed for tumors of those three cases, with CT value of 95, 78, 72, 70 HU. One case of those three patients had thickened intestinal wall with low signal on T1-weighted imaging, heterogeneous high signal on fat-suppressed T2-weighted imaging, significant high signal on diffusion-weighted imaging and low signal on apparent diffusion coefficient imaging on MRI scan. (2) Surgical conditions and post-operative pathological examination. All five cases underwent complete tumor resection. In two cases of primary epithelioid angiosarcoma with three small intestinal tumor foci, there were two tumors invading the serosa and one tumor invading the submucosa. All three metastatic epithelioid angio-sarcoma cases showed four tumors invasion through the serosa, with one case exhibiting mesenteric lymph node metastasis. Microscopic examination revealed hemorrhagic necrosis on the tumor mucosal surface, with tumor cells located in the submucosa or throughout the intestinal wall, displaying infiltrative growth patterns. The distribution was diffuse, with local networks forming irregularly sized vascular-like structures, containing red blood cells and forming blood sinuses and vascular networks. Tumor cells were arranged in solid sheets, strands, and nests, exhibiting spindle-shaped or epithelioid characteristics, with marked atypia, large nuclei, prominent nucleoli, and mitotic figures. Immunohistochemical analysis showed diffuse strong positivity for CD31, Fli-1, and Vim in all five patients. (3) Follow-up. All five patients were followed up postoperatively for 6(range, 3?48)months. During the follow-up period, four patients succumbed to widespread metastasis. One patient with metastatic small intestinal epithelioid angiosarcoma underwent six cycles of chemotherapy and remained in good condition four years post-surgery.Conclusion:The imaging characteristics of small intestinal epithelioid angiosarcoma include abnormal thickening or masses of the intestinal wall.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Definitive treatment of lung cancer with radiotherapy is challenging, as respiratory motion and anatomical changes can increase the risk of severe off-target effects during radiotherapy. Online adaptive radiotherapy (ART) is an evolving approach that enables timely modification of a treatment plan during the interfraction of radiotherapy, in response to physiologic or anatomic variations, aiming to improve the dose distribution for precise targeting and delivery in lung cancer patients. The effectiveness of online ART depends on the seamless integration of multiple components: sufficient quality of linear accelerator-integrated imaging guidance, deformable image registration, automatic recontouring, and efficient quality assurance and workflow. This review summarizes the present status of online ART for lung cancer, including key technologies, as well as the challenges and areas of active research in this field.
Humans ; Lung Neoplasms/radiotherapy* ; Radiotherapy Planning, Computer-Assisted/methods*

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Background: Barriers to treatment with intravenous thrombolysis (IVT) for patients with acute ischemic stroke (AIS) in South Korea remain incompletely characterized. We analyze a nationwide prospective cohort to determine patient-level features associated with delayed presentation and non-treatment of potential IVT-eligible patients. Methods: We identified consecutive patients with AIS from 01/2011 to 08/2023 from a multicenter and prospective acute stroke registry in Korea. Patients were defined as IVT candidates if they presented within 4.5 hours from the last known well, had no lab evidence of coagulopathy, and had National Institute of Health Stroke Scale (NIHSS) ≥ 4. Multivariable generalized linear mixed regression models were used to investigate the associations between their characteristics and the IVT candidates or the use of IVT among the candidates. Results: Among 84,103 AIS patients, 41.0% were female, with a mean age of 69 ± 13 years and presentation NIHSS of 4 [interquartile range, 1–8]. Out of these patients, 13,757 (16.4%) were eligible for IVT, of whom 8,179 (59.5%) received IVT. Female sex (adjusted risk ratio [RR], 0.90; 95% confidence interval [CI], 0.86–0.94) and lower years of education (adjusted RR, 0.90; 95% CI, 0.84–0.97 for 0–3 years, compared to ≥ 13 years) were associated with a decreased likelihood of presenting as eligible for IVT after AIS; meanwhile, young age (adjusted RR, 1.12; 95% CI, 1.01–1.24 for ≤ 44 years, compared to 75–84 years) was associated with an increased likelihood of being an IVT candidate. Among those who were eligible for IVT, only age was significantly associated with the use of IVT (adjusted RR, 1.09; 95% CI, 1.03–1.16 for age 65–74 and adjusted RR, 0.83; 95% CI, 0.76–0.90 for ≥ 85 years, respectively). Conclusion Most patients with AIS present outside IVT eligibility in South Korea, and only 60% of eligible patients were ultimately treated. We identified increased age, female sex and lower education as key features on which to focus interventions for improving IVT utilization.

Background: Barriers to treatment with intravenous thrombolysis (IVT) for patients with acute ischemic stroke (AIS) in South Korea remain incompletely characterized. We analyze a nationwide prospective cohort to determine patient-level features associated with delayed presentation and non-treatment of potential IVT-eligible patients. Methods: We identified consecutive patients with AIS from 01/2011 to 08/2023 from a multicenter and prospective acute stroke registry in Korea. Patients were defined as IVT candidates if they presented within 4.5 hours from the last known well, had no lab evidence of coagulopathy, and had National Institute of Health Stroke Scale (NIHSS) ≥ 4. Multivariable generalized linear mixed regression models were used to investigate the associations between their characteristics and the IVT candidates or the use of IVT among the candidates. Results: Among 84,103 AIS patients, 41.0% were female, with a mean age of 69 ± 13 years and presentation NIHSS of 4 [interquartile range, 1–8]. Out of these patients, 13,757 (16.4%) were eligible for IVT, of whom 8,179 (59.5%) received IVT. Female sex (adjusted risk ratio [RR], 0.90; 95% confidence interval [CI], 0.86–0.94) and lower years of education (adjusted RR, 0.90; 95% CI, 0.84–0.97 for 0–3 years, compared to ≥ 13 years) were associated with a decreased likelihood of presenting as eligible for IVT after AIS; meanwhile, young age (adjusted RR, 1.12; 95% CI, 1.01–1.24 for ≤ 44 years, compared to 75–84 years) was associated with an increased likelihood of being an IVT candidate. Among those who were eligible for IVT, only age was significantly associated with the use of IVT (adjusted RR, 1.09; 95% CI, 1.03–1.16 for age 65–74 and adjusted RR, 0.83; 95% CI, 0.76–0.90 for ≥ 85 years, respectively). Conclusion Most patients with AIS present outside IVT eligibility in South Korea, and only 60% of eligible patients were ultimately treated. We identified increased age, female sex and lower education as key features on which to focus interventions for improving IVT utilization.

Background: and Purpose We aimed to determine the proportion of Korean patients with early Alzheimer’s disease (AD) who are eligible to receive lecanemab based on the United States Appropriate Use Recommendations (US AUR), and also identify the barriers to this treatment. Methods: We retrospectively enrolled 6,132 patients with amnestic mild cognitive impairment or mild amnestic dementia at 13 hospitals from June 2023 to May 2024. Among them, 2,058 patients underwent amyloid positron emission tomography (PET) and 1,199 (58.3%) of these patients were amyloid-positive on PET. We excluded 732 patients who did not undergo brain magnetic resonance imaging between June 2023 and May 2024. Finally, 467 patients were included in the present study. Results: When applying the criteria of the US AUR, approximately 50% of patients with early AD were eligible to receive lecanemab treatment. Among the 467 included patients, 36.8% did not meet the inclusion criterion of a Mini-Mental State Examination (MMSE) score of ≥22. Conclusions Eligibility for lecanemab treatment was not restricted to Korean patients with early AD except for those with an MMSE score of ≥22. The MMSE criteria should therefore be reconsidered in areas with a higher proportion of older people, who tend to have lower levels of education.