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Reflecting on the 1998 enterovirus outbreak: A 25-year retrospective and learned lessons 反思 1998 年肠病毒爆发:25 年回顾与经验教训。
IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-02-01 DOI: 10.1016/j.bj.2024.100715
Peng-Nien Huang , Shao-Hsuan Hsia , Kuan-Ying Arthur Huang , Chih-Jung Chen , En-Tzu Wang , Shin-Ru Shih , Tzou-Yien Lin
Enterovirus A71 (EV-A71) infections are a major Asia-Pacific health issue. However, this infection can cause serious and potentially fatal neurological issues. We attempt to explain EV-A71's molecular virology, epidemiology, and recombination events in this review. The clinical and neurological signs of EV-A71 infections are well documented. The review discusses EV-A71 central nervous system infections' causes, diagnostic criteria, treatment choices, and prognosis. Some consequences are aseptic meningitis, acute flaccid paralysis, and acute transverse myelitis. These problems' pathophysiology and EV-A71's central nervous system molecular processes are examined in the review. EV-A71 infections must be diagnosed accurately for therapy. No particular antiviral medications exist for EV-A71 infections, thus supportive care is the main treatment. The study emphasises addressing symptoms including temperature, dehydration, and pain to ease suffering. EV-A71 CNS infections have different prognoses depending on severity. The review discusses long-term effects and neurological sequelae of EV-A71 infections. In conclusion, Asia-Pacific public health is threatened by EV-A71 infections. This review helps prevent, diagnose, and treat EV-A71 infections by addressing the mechanisms, diagnostic criteria, treatment choices, and prognosis. This study fully examines the challenges and considerations of managing and treating EV-A71 infections. It also recommends future research and development to generate effective viral infection treatments.
肠道病毒 A71(EV-A71)感染是亚太地区的一个重大公共卫生问题。EV-A71 主要导致儿童手足口病(HFMD)。然而,这种病毒也会导致患者出现严重的、可能致命的神经系统后果。本综述旨在全面介绍与 EV-A71 相关的分子病毒学、流行病学和重组事件。文献广泛涉及 EV-A71 感染的临床表现和神经系统症状。本综述探讨的并发症之一是脑干脑炎,它可能是 EV-A71 感染的结果。脑干脑炎是指脑干的炎症,脑干是负责各种身体功能的重要区域。本综述探讨了涉及 EV-A71 的中枢神经系统感染的基本机制、诊断标准、治疗方案和预后。与 EV-A71 感染相关的神经系统并发症多种多样,并可能造成严重后果。这些并发症可能包括无菌性脑膜炎、急性弛缓性麻痹和急性横贯性脊髓炎。本综述深入探讨了这些并发症的病理生理学,揭示了 EV-A71 影响中枢神经系统的分子机制。EV-A71 感染的准确诊断对于适当的管理和治疗至关重要。EV-A71 感染的治疗方案主要侧重于支持性护理,因为目前还没有针对这种病毒的特效抗病毒药物。综述强调了控制发烧、脱水和止痛等症状以减轻患者负担的重要性。EV-A71 中枢神经系统(CNS)感染患者的预后会因并发症的严重程度而有所不同。本综述深入探讨了与 EV-A71 感染相关的长期预后和潜在的神经系统后遗症。总之,EV-A71 感染已成为亚太地区主要的公共卫生问题。本综述旨在加深我们对与 EV-A71 相关的分子病毒学、流行病学和神经系统并发症的了解。通过研究其潜在机制、诊断标准、治疗方案和预后,本综述有助于制定预防、诊断和管理 EV-A71 感染的有效策略。本文全面分析了与 EV-A71 和手足口病爆发有关的全球数据。随后的论述深入探讨了针对 EV-A71 疫苗的研发进展和战略制定。总之,本研究全面探讨了 EV-A71 感染管理和治疗中的潜在障碍和注意事项。此外,它还为未来的研发工作提出了建议,目的是为这种病毒感染制定有效的治疗方法。
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引用次数: 0
Molecular diagnosis of nasopharyngeal carcinoma: Past and future 鼻咽癌的分子诊断:过去与未来
IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-02-01 DOI: 10.1016/j.bj.2024.100748
Cheng-Lung Hsu , Yu-Sun Chang , Hsin-Pai Li
Nasopharyngeal carcinoma (NPC) is a malignant tumor originated from the nasopharynx epithelial cells and has been linked with Epstein-Barr virus (EBV) infection, dietary habits, environmental and genetic factors. It is a common malignancy in Southeast Asia, especially with gender preference among men. Due to its non-specific symptoms, NPC is often diagnosed at a late stage. Thus, the molecular diagnosis of NPC plays a crucial role in early detection, treatment selection, disease monitoring, and prognosis prediction. This review aims to provide a summary of the current state and the latest emerging molecular diagnostic techniques for NPC, including EBV-related biomarkers, gene mutations, liquid biopsy, and DNA methylation. Challenges and potential future directions of NPC molecular diagnosis will be discussed.
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引用次数: 0
Epigenetic modifications of cfDNA in liquid biopsy for the cancer care continuum 液体活检中 cfDNA 的表观遗传学修饰,促进癌症治疗的连续性。
IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-02-01 DOI: 10.1016/j.bj.2024.100718
Jodie Wong , Rohit Muralidhar , Liang Wang , Chiang-Ching Huang
This review provides a comprehensive overview of the latest advancements in the clinical utility of liquid biopsy, with a particular focus on epigenetic approaches aimed at overcoming challenges in cancer diagnosis and treatment. It begins by elucidating key epigenetic terms, including methylomics, fragmentomics, and nucleosomics. The review progresses to discuss methods for analyzing circulating cell-free DNA (cfDNA) and highlights recent studies showcasing the clinical relevance of epigenetic modifications in areas such as diagnosis, drug treatment response, minimal residual disease (MRD) detection, and prognosis prediction. While acknowledging hurdles like the complexity of interpreting epigenetic data and the absence of standardization, the review charts a path forward. It advocates for the integration of multi-omic data through machine learning algorithms to refine predictive models and stresses the importance of collaboration among clinicians, researchers, and data scientists. Such cooperative efforts are essential to fully leverage the potential of epigenetic features in clinical practice.
本综述全面概述了液体活检临床应用的最新进展,尤其关注旨在克服癌症诊断和治疗难题的表观遗传学方法。文章首先阐明了关键的表观遗传学术语,包括甲基组学、片段组学和核糖体学。综述接着讨论了分析循环游离细胞DNA(cfDNA)的方法,并重点介绍了最近的研究,这些研究展示了表观遗传修饰在诊断、药物治疗反应、最小残留病(MRD)检测和预后预测等领域的临床意义。在承认表观遗传学数据解读的复杂性和缺乏标准化等障碍的同时,该综述描绘了一条前进的道路。它提倡通过机器学习算法整合多组学数据,以完善预测模型,并强调临床医生、研究人员和数据科学家之间合作的重要性。这种合作对于在临床实践中充分利用表观遗传特征的潜力至关重要。
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引用次数: 0
Doxycycline cotherapy with albendazole relieves neural function damage in C57BL/6 and BALB/c mice infected with Angiostrongylus cantonensis 多西环素联合阿苯达唑疗法可缓解C57BL/6和BALB/c小鼠感染坎顿氏安氏梭菌后的神经功能损伤。
IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-02-01 DOI: 10.1016/j.bj.2024.100727
Eny Sofiyatun , Kuang-Yao Chen , Chih-Jen Chou , Hsin-Chia Lee , Yi-An Day , Pei-Jui Chiang , Cheng-Hsun Chiu , Wei-June Chen , Kai-Yuan Jhan , Lian-Chen Wang

Background

We investigated the effects of combination therapy albendazole and doxycycline in Angiostrongylus cantonensis-infected mice during early and late treatment.

Materials and methods

C57BL/6 and BALB/c mice were divided into five groups: (i) uninfected, (ii) infected with A. cantonensis, (iii) infected + 10 mg/kg albendazole, (iv) infected + 25 mg/kg doxycycline, and (v) infected + 10 mg/kg albendazole + 25 mg/kg doxycycline. We administered drugs in both early treatments started at 7-day post infections (dpi) and late treatments (14 dpi) to A. cantonensis-infected C57BL/6 and BALB/c mice. To assess the impact of these treatments, we employed the Morris water maze test to evaluate spatial learning and memory abilities, and the rotarod test to measure motor coordination and balance in C57BL/6 mice. Additionally, we monitored the expression of the cytokine IL-33 and GFAP in the brain of these mice using Western blot analysis.

Results

In this study, A. cantonensis infection was observed to cause extensive cerebral angiostrongyliasis in C57BL/6 mice. This condition significantly affected their spatial learning and memory abilities, as assessed by the Morris water maze test, as well as their motor coordination, which was evaluated using the rotarod test. Early treatment with albendazole led to favorable recovery outcomes. Both C57BL/6 and BALB/c mice express IL-33 and GFAP after co-therapy. The differences of levels and patterns of IL-33 and GFAP expression in mice may be influenced by the balance between pro-inflammatory and anti-inflammatory signals within the immune system.

Conclusions

Combination therapy with anthelmintics and antibiotics in the early stage of A. cantonensis infection, in C57BL/6 and BALB/c mice resulted in the death of parasites in the brain and reduced the subsequent neural function damage and slowed brain damage and neurobehavior impairment. This study suggests a more effective and novel treatment, and drug delivery method for brain lesions that can decrease the neurological damage of angiostrongyliasis patients.
{"title":"Doxycycline cotherapy with albendazole relieves neural function damage in C57BL/6 and BALB/c mice infected with Angiostrongylus cantonensis","authors":"Eny Sofiyatun ,&nbsp;Kuang-Yao Chen ,&nbsp;Chih-Jen Chou ,&nbsp;Hsin-Chia Lee ,&nbsp;Yi-An Day ,&nbsp;Pei-Jui Chiang ,&nbsp;Cheng-Hsun Chiu ,&nbsp;Wei-June Chen ,&nbsp;Kai-Yuan Jhan ,&nbsp;Lian-Chen Wang","doi":"10.1016/j.bj.2024.100727","DOIUrl":"10.1016/j.bj.2024.100727","url":null,"abstract":"<div><h3>Background</h3><div>We investigated the effects of combination therapy albendazole and doxycycline in Angiostrongylus cantonensis-infected mice during early and late treatment.</div></div><div><h3>Materials and methods</h3><div>C57BL/6 and BALB/c mice were divided into five groups: (i) uninfected, (ii) infected with A. cantonensis, (iii) infected + 10 mg/kg albendazole, (iv) infected + 25 mg/kg doxycycline, and (v) infected + 10 mg/kg albendazole + 25 mg/kg doxycycline. We administered drugs in both early treatments started at 7-day post infections (dpi) and late treatments (14 dpi) to A. cantonensis-infected C57BL/6 and BALB/c mice. To assess the impact of these treatments, we employed the Morris water maze test to evaluate spatial learning and memory abilities, and the rotarod test to measure motor coordination and balance in C57BL/6 mice. Additionally, we monitored the expression of the cytokine IL-33 and GFAP in the brain of these mice using Western blot analysis.</div></div><div><h3><em>Results</em></h3><div>In this study, <em>A.</em> cantonensis infection was observed to cause extensive cerebral angiostrongyliasis in C57BL/6 mice. This condition significantly affected their spatial learning and memory abilities, as assessed by the Morris water maze test, as well as their motor coordination, which was evaluated using the rotarod test. Early treatment with albendazole led to favorable recovery outcomes. Both C57BL/6 and BALB/c mice express IL-33 and GFAP after co-therapy. The differences of levels and patterns of IL-33 and GFAP expression in mice may be influenced by the balance between pro-inflammatory and anti-inflammatory signals within the immune system.</div></div><div><h3>Conclusions</h3><div>Combination therapy with anthelmintics and antibiotics in the early stage of A. cantonensis infection, in C57BL/6 and BALB/c mice resulted in the death of parasites in the brain and reduced the subsequent neural function damage and slowed brain damage and neurobehavior impairment. This study suggests a more effective and novel treatment, and drug delivery method for brain lesions that can decrease the neurological damage of angiostrongyliasis patients.</div></div>","PeriodicalId":8934,"journal":{"name":"Biomedical Journal","volume":"48 1","pages":"Article 100727"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140793297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Guizhi Fuling Wan ameliorates concanavalin A-induced autoimmune hepatitis in mice 桂枝茯苓丸可改善小鼠由金刚烷胺 A 引起的自身免疫性肝炎。
IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-02-01 DOI: 10.1016/j.bj.2024.100731
Shun-Li Kuo , Chun-Han Su , Kuei-Hung Lai , Yu-Chia Chang , Jyh-Sheng You , Hsin-Hsin Peng , Chun-Hong Chen , Chi-Chen Lin , Po-Jen Chen , Tsong-Long Hwang

Background

Autoimmune hepatitis (AIH) is an immune-mediated hepatic disease associated with intense complications. AIH is more common in females and needs effective drugs to treat. Guizhi Fuling Wan (GZFLW) is a traditional Chinese herbal formula for treating various gynecologic diseases. In this study, we aim to extend the new use of GZFLW for AIH.

Methods

The tandem MS-based analysis was used to identify secondary metabolites in GZFLW. Therapeutic effects of GZFLW were tested in a concanavalin A (Con A)-induced AIH model in mice. Ethnopharmacological mechanisms underlying the antiapoptotic, antioxidant, and immunomodulatory protective effects were determined.

Results

Oral administration of GZFLW attenuates AIH in a Con A-induced hepatotoxic model in vivo. The tandem MS-based analysis identified 15 secondary metabolites in GZFLW. The Con A-induced AIH syndromes, including hepatic apoptosis, inflammation, reactive oxygen species accumulation, function failure, and mortality, were significantly alleviated by GZFLW in mice. Mechanistically, GZFLW restrained the caspase-dependent apoptosis, restored the antioxidant system, and decreased pro-inflammatory cytokine production in the livers of Con A-treated mice. Besides, GZFLW repressed the Con A-induced hepatic infiltration of inflammatory cells, splenic T cell activation, and splenomegaly in mice.

Conclusions

Our findings demonstrate the applicable potential of GZFLW in treating AIH. It prompts further investigation of GZFLW as a treatment option for AIH and possibly other hepatic diseases.
背景:自身免疫性肝炎(AIH)是一种免疫介导的肝病,伴有严重的并发症。自身免疫性肝炎多见于女性,需要有效的药物来治疗。桂枝茯苓丸(GZFLW)是一种用于治疗各种妇科疾病的传统中药配方。本研究旨在拓展桂枝茯苓丸治疗 AIH 的新用途:方法:采用串联质谱分析法鉴定 GZFLW 中的次生代谢物。方法:采用串联质谱分析法鉴定了 GZFLW 中的次生代谢物,并在小鼠由 Con A 诱导的 AIH 模型中测试了 GZFLW 的治疗效果。确定了抗细胞凋亡、抗氧化和免疫调节保护作用的民族药理学机制:结果:在 Con A 诱导的体内肝毒性模型中,口服 GZFLW 可减轻 AIH。基于串联质谱的分析确定了 GZFLW 中的 15 种次生代谢物。GZFLW 能显著缓解 Con A 诱导的 AIH 综合征,包括肝细胞凋亡、炎症、活性氧积累、功能衰竭和死亡。从机理上讲,GZFLW抑制了Caspase依赖性细胞凋亡,恢复了抗氧化系统,并减少了Con A处理小鼠肝脏中促炎细胞因子的产生。此外,GZFLW还能抑制Con A诱导的小鼠肝脏炎症细胞浸润、脾脏T细胞活化和脾肿大:我们的研究结果证明了 GZFLW 在治疗 AIH 方面的应用潜力。结论:我们的研究结果表明了 GZFLW 在治疗 AIH 方面的应用潜力,这也促使我们进一步研究 GZFLW 作为 AIH 及其他肝病治疗方法的可能性。
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引用次数: 0
Advancing cancer diagnosis and treatment: Integrating molecular biomarkers and emerging technologies
IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-02-01 DOI: 10.1016/j.bj.2025.100831
Yu-Sun Chang , David M. Ojcius
Cancer biomarkers can be derived from tumor cells or neighboring cells within the tumor microenvironment. Over the past few decades, various molecular markers, including DNA (mutations, copy number variations), RNA (mRNA, microRNA, circular RNA), proteins, and metabolites, have been identified with the aid of rapidly evolving technologies. Some of these markers have demonstrated potential clinical utility, while others have provided new insights into the deregulation of normal molecular and cellular processes that lead to tumorigenesis. Publications in this special issue of the Biomedical Journal introduce contemporary approaches aimed at enhancing cancer diagnosis, and monitoring of cancer and treatment options, with the ultimate goal of reducing mortality. These studies highlight the importance of integrating advanced technologies with clinical strategies for treatment of cancer.
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引用次数: 0
ECG-surv: A deep learning-based model to predict time to 1-year mortality from 12-lead electrocardiogram ECG-surv:基于深度学习的模型,通过 12 导联心电图预测 1 年死亡时间。
IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-02-01 DOI: 10.1016/j.bj.2024.100732
Ching-Heng Lin , Zhi-Yong Liu , Jung-Sheng Chen , Yang C. Fann , Ming-Shien Wen , Chang-Fu Kuo

Background

Electrocardiogram (ECG) abnormalities have demonstrated potential as prognostic indicators of patient survival. However, the traditional statistical approach is constrained by structured data input, limiting its ability to fully leverage the predictive value of ECG data in prognostic modeling.

Methods

This study aims to introduce and evaluate a deep-learning model to simultaneously handle censored data and unstructured ECG data for survival analysis. We herein introduce a novel deep neural network called ECG-surv, which includes a feature extraction neural network and a time-to-event analysis neural network. The proposed model is specifically designed to predict the time to 1-year mortality by extracting and analyzing unique features from 12-lead ECG data. ECG-surv was evaluated using both an independent test set and an external set, which were collected using different ECG devices.

Results

The performance of ECG-surv surpassed that of the Cox proportional model, which included demographics and ECG waveform parameters, in predicting 1-year all-cause mortality, with a significantly higher concordance index (C-index) in ECG-surv than in the Cox model using both the independent test set (0.860 [95% CI: 0.859–0.861] vs. 0.796 [95% CI: 0.791–0.800]) and the external test set (0.813 [95% CI: 0.807–0.814] vs. 0.764 [95% CI: 0.755–0.770]). ECG-surv also demonstrated exceptional predictive ability for cardiovascular death (C-index of 0.891 [95% CI: 0.890–0.893]), outperforming the Framingham risk Cox model (C-index of 0.734 [95% CI: 0.715–0.752]).

Conclusion

ECG-surv effectively utilized unstructured ECG data in a survival analysis. It outperformed traditional statistical approaches in predicting 1-year all-cause mortality and cardiovascular death, which makes it a valuable tool for predicting patient survival.
背景:心电图(ECG)异常已被证明具有作为患者生存预后指标的潜力。然而,传统的统计方法受到结构化数据输入的限制,无法充分利用心电图数据在预后建模中的预测价值:本研究旨在引入并评估一种深度学习模型,该模型可同时处理删减数据和非结构化心电图数据,用于生存分析。我们在此介绍一种名为 ECG-surv 的新型深度神经网络,它包括一个特征提取神经网络和一个时间到事件分析神经网络。该模型专门设计用于通过提取和分析 12 导联心电图数据中的独特特征来预测 1 年死亡率。使用独立测试集和外部集对 ECG-surv 进行了评估,这些测试集是使用不同的心电图设备收集的:结果:在预测 1 年全因死亡率方面,ECG-surv 的性能超过了包含人口统计学和心电图波形参数的 Cox 比例模型,在使用独立测试集时,ECG-surv 的一致性指数(C-index)明显高于 Cox 模型(0.860 [95% CI: 0.859- 0.861] vs. 0.796 [95% CI: 0.791- 0.800])和外部测试集(0.813 [95% CI: 0.807- 0.814] vs. 0.764 [95% CI: 0.755- 0.770])。ECG-surv对心血管死亡的预测能力(C指数为0.891 [95% CI:0.890- 0.893])也非常出色,优于Framingham风险Cox模型(C指数为0.734 [95% CI:0.715-0.752]):ECG-surv在生存分析中有效地利用了非结构化心电图数据。结论:ECG-surv 在生存分析中有效地利用了非结构化心电图数据,在预测 1 年全因死亡率和心血管死亡方面优于传统的统计方法,是预测患者生存的重要工具。
{"title":"ECG-surv: A deep learning-based model to predict time to 1-year mortality from 12-lead electrocardiogram","authors":"Ching-Heng Lin ,&nbsp;Zhi-Yong Liu ,&nbsp;Jung-Sheng Chen ,&nbsp;Yang C. Fann ,&nbsp;Ming-Shien Wen ,&nbsp;Chang-Fu Kuo","doi":"10.1016/j.bj.2024.100732","DOIUrl":"10.1016/j.bj.2024.100732","url":null,"abstract":"<div><h3>Background</h3><div>Electrocardiogram (ECG) abnormalities have demonstrated potential as prognostic indicators of patient survival. However, the traditional statistical approach is constrained by structured data input, limiting its ability to fully leverage the predictive value of ECG data in prognostic modeling.</div></div><div><h3>Methods</h3><div>This study aims to introduce and evaluate a deep-learning model to simultaneously handle censored data and unstructured ECG data for survival analysis. We herein introduce a novel deep neural network called ECG-surv, which includes a feature extraction neural network and a time-to-event analysis neural network. The proposed model is specifically designed to predict the time to 1-year mortality by extracting and analyzing unique features from 12-lead ECG data. ECG-surv was evaluated using both an independent test set and an external set, which were collected using different ECG devices.</div></div><div><h3>Results</h3><div>The performance of ECG-surv surpassed that of the Cox proportional model, which included demographics and ECG waveform parameters, in predicting 1-year all-cause mortality, with a significantly higher concordance index (C-index) in ECG-surv than in the Cox model using both the independent test set (0.860 [95% CI: 0.859–0.861] vs. 0.796 [95% CI: 0.791–0.800]) and the external test set (0.813 [95% CI: 0.807–0.814] vs. 0.764 [95% CI: 0.755–0.770]). ECG-surv also demonstrated exceptional predictive ability for cardiovascular death (C-index of 0.891 [95% CI: 0.890–0.893]), outperforming the Framingham risk Cox model (C-index of 0.734 [95% CI: 0.715–0.752]).</div></div><div><h3>Conclusion</h3><div>ECG-surv effectively utilized unstructured ECG data in a survival analysis. It outperformed traditional statistical approaches in predicting 1-year all-cause mortality and cardiovascular death, which makes it a valuable tool for predicting patient survival.</div></div>","PeriodicalId":8934,"journal":{"name":"Biomedical Journal","volume":"48 1","pages":"Article 100732"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11751416/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140853895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fecal miRNAs as potential biomarkers for early detection of colorectal cancer: An updated review 粪便 miRNAs 作为早期检测结直肠癌的潜在生物标记物:最新综述。
IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-02-01 DOI: 10.1016/j.bj.2024.100769
Chia-Chun Chen , Pi-Yueh Chang
{"title":"Fecal miRNAs as potential biomarkers for early detection of colorectal cancer: An updated review","authors":"Chia-Chun Chen ,&nbsp;Pi-Yueh Chang","doi":"10.1016/j.bj.2024.100769","DOIUrl":"10.1016/j.bj.2024.100769","url":null,"abstract":"","PeriodicalId":8934,"journal":{"name":"Biomedical Journal","volume":"48 1","pages":"Article 100769"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11743092/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141722992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Applications of deep learning in trauma radiology: A narrative review 深度学习在创伤放射学中的应用:叙述性综述。
IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-02-01 DOI: 10.1016/j.bj.2024.100743
Chi-Tung Cheng , Chun-Hsiang Ooyang , Chien-Hung Liao , Shih-Ching Kang
Diagnostic imaging is essential in modern trauma care for initial evaluation and identifying injuries requiring intervention. Deep learning (DL) has become mainstream in medical image analysis and has shown promising efficacy for classification, segmentation, and lesion detection. This narrative review provides the fundamental concepts for developing DL algorithms in trauma imaging and presents an overview of current progress in each modality. DL has been applied to detect free fluid on Focused Assessment with Sonography for Trauma (FAST), traumatic findings on chest and pelvic X-rays, and computed tomography (CT) scans, identify intracranial hemorrhage on head CT, detect vertebral fractures, and identify injuries to organs like the spleen, liver, and lungs on abdominal and chest CT. Future directions involve expanding dataset size and diversity through federated learning, enhancing model explainability and transparency to build clinician trust, and integrating multimodal data to provide more meaningful insights into traumatic injuries. Though some commercial artificial intelligence products are Food and Drug Administration-approved for clinical use in the trauma field, adoption remains limited, highlighting the need for multi-disciplinary teams to engineer practical, real-world solutions. Overall, DL shows immense potential to improve the efficiency and accuracy of trauma imaging, but thoughtful development and validation are critical to ensure these technologies positively impact patient care.
在现代创伤护理中,诊断成像对于初步评估和识别需要干预的损伤至关重要。深度学习(DL)已成为医学图像分析的主流,并在分类、分割和病变检测方面显示出良好的效果。这篇叙述性综述提供了在创伤成像中开发深度学习算法的基本概念,并概述了每种模式的当前进展。DL 已被用于检测创伤超声聚焦评估 (FAST) 中的游离液体、胸部和骨盆 X 光片以及计算机断层扫描 (CT) 扫描中的创伤发现、头部 CT 中的颅内出血、脊椎骨折检测,以及腹部和胸部 CT 中脾脏、肝脏和肺脏等器官的损伤。未来的发展方向包括:通过联合学习扩大数据集的规模和多样性;提高模型的可解释性和透明度,以建立临床医生的信任;整合多模态数据,为创伤性损伤提供更有意义的见解。尽管一些商业人工智能产品已获得食品药品管理局的批准,可用于创伤领域的临床应用,但其应用仍然有限,这凸显了多学科团队设计实用、真实世界解决方案的必要性。总体而言,DL 在提高创伤成像的效率和准确性方面显示出巨大的潜力,但要确保这些技术对患者护理产生积极影响,深思熟虑的开发和验证至关重要。
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引用次数: 0
“Mpox in MSM: Tackling stigma, minimizing risk factors, exploring pathogenesis, and treatment approaches” "男男性行为者中的 Mpox:消除耻辱感、尽量减少风险因素、探索发病机制和治疗方法"。
IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-02-01 DOI: 10.1016/j.bj.2024.100746
Arpan Acharya , Narendra Kumar , Kamal Singh , Siddappa N. Byrareddy
Mpox is a zoonotic disease caused by the monkeypox virus (MPV), primarily found in Central and West African countries. The typical presentation of the disease before the 2022 mpox outbreak includes a febrile prodrome 5–13 days post-exposure, accompanied by lymphadenopathy, malaise, headache, and muscle aches. Unexpectedly, during the 2022 outbreak, several cases of atypical presentations of the disease were reported, such as the absence of prodromal symptoms and the presence of genital skin lesions suggestive of sexual transmission. As per the World Health Organization (WHO), as of March 20, 2024, 94,707 cases of mpox were reported worldwide, resulting in 181 deaths (22 in African endemic regions and 159 in non-endemic countries). The United States Centers for Disease Control and Prevention (CDC) reports a total of 32,063 cases (33.85% of total cases globally), with 58 deaths (32.04% of global deaths) due to mpox. Person-to-person transmission of mpox can occur through respiratory droplets and sustained close contact. However, during the 2022 outbreak of mpox, a high incidence of anal and perianal lesions among MSMs indicated sexual transmission of MPV as a major route of transmission. Since MSMs are disproportionately at risk for HIV transmission. In this review, we discusses the risk factors, transmission patterns, pathogenesis, vaccine, and treatment options for mpox among MSM and people living with HIV (PLWH). Furthermore, we provide a brief perspective on the evolution of the MPV in immunocompromised people like PLWH.
猴痘是一种由猴痘病毒(MPV)引起的人畜共患疾病,主要出现在中非和西非国家。在 2022 年猴痘疫情爆发前,该病的典型表现包括接触后 5-13 天的发热前驱症状,并伴有淋巴结病、乏力、头痛和肌肉酸痛。意想不到的是,在 2022 年疫情爆发期间,报告了几例非典型表现的病例,如无前驱症状和出现生殖器皮损提示性传播。据世界卫生组织(WHO)统计,截至 2024 年 3 月 20 日,全球共报告 94 707 例麻风腮病例,造成 181 人死亡(非洲流行地区 22 人,非流行国家 159 人)。美国疾病控制和预防中心(CDC)报告的天花病例总数为 32063 例(占全球病例总数的 33.85%),死亡 58 例(占全球死亡人数的 32.04%)。天花可通过呼吸道飞沫和持续密切接触进行人际传播。然而,在 2022 年爆发的天花疫情中,男男性行为者肛门和肛周病变的高发病率表明,MPV 的性传播是主要传播途径。由于男男性行为者感染艾滋病毒的风险过高,本综述将讨论男男性行为者和艾滋病毒感染者(PLWH)感染痘病的风险因素、传播模式、发病机制、疫苗和治疗方案。此外,我们还从一个简短的角度探讨了 MPV 在艾滋病毒感染者等免疫力低下人群中的演变。
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引用次数: 0
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