Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Acute myocardial infarction and acute upper gastrointestinal bleeding are both critical internal medicine conditions. The incidence of acute upper gastrointestinal bleeding in patients with acute myocardial infarction ranges from 5.31% to 8.90%, with a mortality rate as high as 20.50% to 35.70%. The pathogenesis may be related to the use of antiplatelet and anticoagulant drugs, as well as stress-induced injury. In treatment, the contradiction between antiplatelet/anticoagulation therapy and bleeding has made this disease a significant challenge in modern medicine. Therefore, re-exploring the etiology, pathogenesis, treatment principles, and methods of traditional Chinese medicine(TCM) for acute myocardial infarction and acute upper gastrointestinal bleeding is of great clinical importance. The research team has been working year-round in the coronary care unit(CCU), managing a large number of such severe patients. By revisiting classic texts and delving into the foundational theories of TCM and historical medical literature, it has been found that this disease falls under the category of "distant blood" in the Synopsis of the Golden Chamber. In terms of etiology, it is primarily associated with weakness of healthy Qi and damage caused by drug toxicity. In terms of pathogenesis, in the acute stage, it mainly manifests as insufficient spleen Yang, deficiency of spleen Qi, and failure of the spleen to control blood. In the remission stage, it is characterized by deficiency of both heart Qi and spleen blood. For treatment, during the acute stage, Huangtu Decoction is used to warm Yang and restrain blood, while in the remission stage, Guipi Decoction is administered to tonify Qi and nourish blood. During the treatment process, for patients with acute myocardial infarction complicated with acute upper gastrointestinal bleeding, it is crucial to flexibly apply the treatment principles of "Nil per os" in western medicine and "where there is stomach Qi, there is life; where there is no stomach Qi, there is death" in TCM. Early intervention with Huangtu Decoction can also prevent bleeding, with large doses being key to achieving hemostasis. It is important to address the pathogenesis of heat syndrome in addition to the core pathogenesis of Yang deficiency bleeding and to emphasize the follow-up treatment with Guipi Decoction for a successful outcome.
Humans ; Gastrointestinal Hemorrhage/etiology* ; Myocardial Infarction/drug therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional ; Acute Disease

Mutations in the cyclin-dependent kinase-like 5 gene (CDKL5) cause a severe neurodevelopmental disorder, yet the impact of truncating mutations remains unclear. Here, we introduce the Cdkl5^492stop mouse model, mimicking C-terminal truncating mutations in patients. 492stop/Y mice exhibit altered dendritic spine morphology and spontaneous seizure-like behaviors, alongside other behavioral deficits. After creating cell lines with various Cdkl5 truncating mutations, we found that these mutations are regulated by the nonsense-mediated RNA decay pathway. Most truncating mutations result in CDKL5 protein loss, leading to multiple disease phenotypes, and offering new insights into the pathogenesis of CDKL5 disorder.
Animals ; Disease Models, Animal ; Mice ; Protein Serine-Threonine Kinases/deficiency* ; Mutation/genetics* ; Epileptic Syndromes/genetics* ; Humans ; Dendritic Spines/pathology* ; Spasms, Infantile/genetics* ; Male ; Seizures/genetics* ; Mice, Inbred C57BL

Pulmonary disease is one of the major threats to human health. However, the current clinical treatment drugs for lung diseases generally have problems such as low lung delivery efficiency, fast clearance rate and obvious toxic side effects. Recently, membrane biomimetic nanocarriers have attracted more and more attention. Due to their advantages of high targeting, long cycle time, good biocompatibility and strong immune escape ability, membrane biomimetic nanocarriers have become a major research hotspot in targeted therapy of lung diseases. In this review, we discuss the main preparation methods of membrane biomimetic nanoparticles, the characteristics of membrane biomimetic nanocarriers from different cell sources and their application in the targeted therapy of lung diseases. At the same time, according to the characteristics of different membranes, the shortcomings, current technical limitations and future prospects are discussed. This review is expected to provide references for the design of membrane biomimetic nanocarriers and their potential applications in the treatment of lung diseases.

OBJECTIVE To investigate the metabolic changes in MEG-01 megakaryocytes after treatment with linezolid （LZD） from metabolomic perspective and its impact on the the proliferation of cells and generation of platelet precursors. METHODS MEG-01 cells were seeded in proliferation medium and divided into blank control group （untreated）， solvent control group （4‰DMSO）， and 100， 200， 400， 800 μg/mL LZD groups. The proliferation status of cells in each group was observed under the microscope； cell proliferation and viability were assessed. Cells were also seeded in differentiation medium and divided into blank control group （untreated）， solvent control group （4‰DMSO）， and 400 μg/mL LZD group； after 14 days of culture， platelet precursor generation was observed under the microscope； immunofluorescence staining was performed to count the proportion of cells producing pseudopodia， the relative length of pseudopodia was measured， and the expression levels of CD41 and CD42b mRNA were assessed. Cells from the solvent control group and the 400 μg/mL LZD group， cultured in differentiation medium for 14 days， were extracted and subjected to non-targeted metabolomics and targeted energy metabolomics analysis using liquid chromatography-tandem mass spectrometry. The relative content of pyruvate in cells， after being cultured for 14 days with the addition of pyruvate （10 mmol/L） or LZD （400 μg/mL）+pyruvate （10 mmol/L）， was measured and observed， as well as its effects on cell proliferation and platelet precursor generation. RESULTS 400 μg/mL LZD could significantly inhibit the proliferation of MEG-01 cells and the generation of platelet precursors （P＜0.01）. Non-targeted metabolomic analysis of MEG-01 cells after 400 μg/mL LZD treatment revealed significant changes in energy metabolism-related pathways such as mTOR signaling pathway， alanine， aspartate and glutamate metabolism， and central carbon metabolism in cancer. Targeted energy metabolomic analysis further showed that the relative contents of adenosine triphosphate， guanosine triphosphate， and pyruvate in MEG-01 cells were significantly reduced （P＜0.01）， while the relative contents of lactate were significantly increased （P＜0.01）. Compared with the LZD group， the relative content of pyruvate， cell count， the proportion of cells producing pseudopodia and the relative length of pseudopodia were significantly increased in the LZD+pyruvate group （P＜0.01）. CONCLUSIONS LZD may reduce pyruvate production by inhibiting mitochondrial energy metabolism， thereby suppressing megakaryocyte proliferation and platelet precursor production， ultimately leading to the occurrence of thrombocytopenia.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.