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Inherently imperfect, inherently evolving – The pursuit of precision through biomarkers
IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-02-01 DOI: 10.1016/j.bj.2025.100839
Aila Akosua Kattner
Featuring a special section on cancer biomarkers, this issue of the Biomedical Journal highlights research on cfDNA, fecal miRNA, mitochondrial pathways, Epstein-Barr virus DNA, multi-biomarker panels combined with LC-MS-based methods, and circulating tumor cell (CTC) growth status as potential tools for cancer detection and management, including colorectal cancer, ovarian cancer, nasopharyngeal carcinoma, and hepatocellular carcinoma. Additionally, it explores the social stigma surrounding mpox, and discusses the achievements in miRNA research that earned the 2024 Nobel Prize in Physiology or Medicine. Advances in deep learning for trauma imaging are examined, alongside a review of decades of enterovirus research and current vaccination strategies. Other studies investigate the combined use of anthelmintic and antibiotic therapy for roundworm infection, and the application of a well-established Traditional Chinese Medicine herbal formula, commonly prescribed for gynecological conditions, against autoimmune hepatitis. Further articles elucidate the role of the nuclear receptor HNF4 in Schistosoma, mitochondrial dysfunction in acute kidney injury, the effects of astragalus polysaccharides on prostate cancer, and the use of deep learning to predict mortality from electrocardiograms.
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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。
{"title":"Guizhi Fuling Wan ameliorates concanavalin A-induced autoimmune hepatitis in mice","authors":"Shun-Li Kuo ,&nbsp;Chun-Han Su ,&nbsp;Kuei-Hung Lai ,&nbsp;Yu-Chia Chang ,&nbsp;Jyh-Sheng You ,&nbsp;Hsin-Hsin Peng ,&nbsp;Chun-Hong Chen ,&nbsp;Chi-Chen Lin ,&nbsp;Po-Jen Chen ,&nbsp;Tsong-Long Hwang","doi":"10.1016/j.bj.2024.100731","DOIUrl":"10.1016/j.bj.2024.100731","url":null,"abstract":"<div><h3>Background</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>Oral administration of GZFLW attenuates AIH in a Con A-induced hepatotoxic model <em>in vivo</em>. 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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":8934,"journal":{"name":"Biomedical Journal","volume":"48 1","pages":"Article 100731"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11745949/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140855876","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
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。
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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
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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
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
Chronic low-dose REV-ERBs agonist SR9009 mitigates constant light-induced weight gain and insulin resistance via adipogenesis modulation. 慢性低剂量REV-ERBs激动剂SR9009通过调节脂肪生成减轻恒定光诱导的体重增加和胰岛素抵抗。
IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-01-10 DOI: 10.1016/j.bj.2025.100830
Ming-Yu Yang, Hugo Y-H Lin, Yi-Ywan M Chen, Ming-Luen Hu, I-Ya Chen, Chao-Hui Yang

Background: Obesity and circadian rhythm disruption are significant global health concerns, contributing to an increased risk of metabolic disorders. Both adipose tissue and circadian rhythms play critical roles in maintaining energy homeostasis, and their dysfunction is closely linked to obesity. This study aimed to assess the effects of chronic low-dose SR9009, a REV-ERB ligand, on circadian disruption induced by constant light exposure in mice.

Material and methods: Mice were exposed to constant light for eight weeks (LL mice), resulting in increased body weight, insulin resistance, white fat mass, and altered circadian clock gene expression. Low-dose SR9009 (10 mg/kg daily) was administered chronically to assess its impact on these metabolic disruptions.

Results: LL mice treated with SR9009 for eight weeks showed reduced weight gain, insulin resistance, and white fat mass but no significant impact on overall energy homeostasis. SR9009 suppressed Bmal1 expression and restored Rev-erbα and Rev-erbβ expression in white and brown adipose tissue (WAT and BAT). In vitro studies using 3T3-L1 cells indicated that SR9009 inhibited adipogenesis, leading to further investigation in vivo. SR9009 restored ChREBP1a and Srebp-1c expression in BAT but did not affect inflammatory cytokine or adipokine gene expression, nor did it restore Fasn, Pparγ, and Prom1 expression in both WAT and BAT.

Conclusions: These findings suggest that SR9009 may be a potential therapeutic for preventing weight gain and insulin resistance caused by circadian disruptions, likely through adipogenesis inhibition, though its effects on other metabolic pathways remain limited at low doses.

背景:肥胖和昼夜节律紊乱是重大的全球健康问题,导致代谢紊乱的风险增加。脂肪组织和昼夜节律在维持能量稳态中都起着至关重要的作用,它们的功能障碍与肥胖密切相关。本研究旨在评估慢性低剂量SR9009 (REV-ERB配体)对持续光照射引起的小鼠昼夜节律紊乱的影响。材料和方法:小鼠(LL小鼠)暴露在恒定光下8周,导致体重增加,胰岛素抵抗,白色脂肪量增加,昼夜节律时钟基因表达改变。长期服用低剂量SR9009(每日10 mg/kg)以评估其对这些代谢紊乱的影响。结果:SR9009治疗8周后,LL小鼠体重增加、胰岛素抵抗和白色脂肪量减少,但对整体能量稳态没有显著影响。SR9009抑制Bmal1的表达,恢复白色和棕色脂肪组织(WAT和BAT)中Rev-erbα和Rev-erbβ的表达。利用3T3-L1细胞进行的体外研究表明,SR9009可以抑制脂肪生成,因此需要进一步的体内研究。SR9009恢复了BAT中ChREBP1a和srebp1c的表达,但不影响炎症细胞因子或脂肪因子基因的表达,也不恢复WAT和BAT中Fasn、Pparγ和Prom1的表达。结论:这些发现表明,SR9009可能是一种潜在的治疗方法,可以预防由昼夜节律紊乱引起的体重增加和胰岛素抵抗,可能是通过抑制脂肪生成引起的,尽管其在低剂量下对其他代谢途径的影响仍然有限。
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引用次数: 0
Defining epitranscriptomic hallmarks at the host-parasite interface and their roles in virulence and disease progression in Theileria annulata-infected leukocytes. 定义宿主-寄生虫界面上的表转录组特征及其在环形芽孢杆菌感染白细胞的毒力和疾病进展中的作用
IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-01-09 DOI: 10.1016/j.bj.2025.100828
Malak Haidar, Tobias Mourier, Rahul Salunke, Abhinav Kaushik, Fathia Ben-Rached, Sara Mfarrej, Arnab Pain

Theileria parasites are known to induce the transformation of host bovine leukocytes, involved in rapid proliferation, evasion from apoptotic mechanisms, and increased dissemination. In this study, we reveal the involvement of m6A RNA modification in T. annulata infection-induced transformation of bovine leukocytes. We conducted m6A sequencing and bioinformatics analysis to map the mRNA methylation patterns of T. annulata-infected host leukocytes. We observe specific mRNA modifications for T. annulata-infected leukocytes and a strong correlation between the proliferation rate of the infected Leukocytes with m6A modifications We observe that the increased amounts of m6A seem to impact some cell cycle dynamics, potentially via modifications of E2F4 mRNA. Moreover, we further identify HIF-1α as a possible driver of these m6A RNA modifications that have clear relevance to cellular proliferation dynamics. Overall, our results provide insights into the role of m6A mRNA methylation in the molecular crosstalk between Theileria and their host leukocytes, emphasizing the critical role of mRNA methylation in host-parasite interaction.

众所周知,他们的寄生虫诱导宿主牛白细胞的转化,参与快速增殖,逃避凋亡机制,并增加传播。在这项研究中,我们揭示了m6A RNA修饰参与环虫感染诱导的牛白细胞转化。我们进行了m6A测序和生物信息学分析,以绘制环状虫感染宿主白细胞的mRNA甲基化模式。我们观察到环斑t感染白细胞的特异性mRNA修饰以及感染白细胞的增殖率与m6A修饰之间的强相关性。我们观察到m6A量的增加似乎影响了一些细胞周期动力学,可能是通过修饰E2F4 mRNA。此外,我们进一步确定HIF-1α是这些与细胞增殖动力学明确相关的m6A RNA修饰的可能驱动因素。总的来说,我们的研究结果提供了m6A mRNA甲基化在他们与宿主白细胞之间的分子串扰中的作用,强调了mRNA甲基化在宿主-寄生虫相互作用中的关键作用。
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引用次数: 0
Circadian disruption of feeding-fasting rhythm and its consequences for metabolic, immune, cancer, and cognitive processes. 进食-禁食节律的昼夜节律中断及其对代谢、免疫、癌症和认知过程的影响。
IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2025-01-03 DOI: 10.1016/j.bj.2025.100827
Manuel Tomás Crespo, Laura Lucía Trebucq, Camila Agustina Senna, Guido Hokama, Natalia Paladino, Patricia Verónica Agostino, Juan José Chiesa

The circadian system is composed by a central hypothalamic clock at the suprachiasmatic nuclei (SCN) that communicates with peripheral circadian oscillators for daily coordination of behavior and physiology. The SCN entrain to the environmental 24-h light-dark (LD) cycle and drive daily rhythms of internal synchronizers such as core body temperature, hypothalamic-hypophysary hormones, sympathetic/parasympathetic activity, as well as behavioral and feeding-fasting rhythms, which supply signals setting core molecular clocks at central and peripheral tissues. Steady phase relationships between the SCN and peripheral oscillators keep homeostatic processes such as microbiota/microbiome composition/activity, metabolic supply/demand, energy balance, immunoinflammatory process, sleep amount and quality, psychophysiological stress, etc. Indeed, the risk of health alterations increase when these phase relationships are chronically changed prompting circadian disruption (CD), as occurring after sudden LD cycle changes (so-called jet-lag), or due to changes of activity/feeding-rest/fasting rhythm with respect to LD cycles (as humans subjected to nightwork, or restricting food access at rest in mice). Typical pathologies observed in animal models of CD and epidemiological studies include metabolic syndrome, type-2 diabetes, obesity, chronic inflammation, cancer, sleep disruption, decrease in physical and cognitive performance, and mood, among others. The present review discusses different aspects of such physiological dysregulations observed in animal models of CD having altered feeding-fasting rhythms, with potential translation to human health.

昼夜节律系统由位于视交叉上核(SCN)的下丘脑中央时钟组成,该时钟与周围昼夜节律振荡器通信,以协调日常行为和生理。SCN参与环境的24小时光暗(LD)周期,并驱动内部同步器的日常节律,如核心体温、下丘脑-垂体激素、交感/副交感神经活动,以及行为和进食-禁食节律,这些节律提供信号,设置中央和外周组织的核心分子钟。SCN与外周振荡器之间的稳定相位关系保持了微生物群/微生物组组成/活性、代谢供需、能量平衡、免疫炎症过程、睡眠量和质量、心理生理应激等稳态过程。事实上,当这些阶段关系长期改变,导致昼夜节律中断(CD)时,健康改变的风险增加,如在LD周期突然变化(所谓的时差)之后发生的,或由于活动/喂养-休息/禁食节奏与LD周期的变化(如人类受到夜间工作,或小鼠在休息时限制食物获取)。在动物模型和流行病学研究中观察到的典型病理包括代谢综合征、2型糖尿病、肥胖、慢性炎症、癌症、睡眠中断、身体和认知能力下降以及情绪等。本综述讨论了在乳糜泻动物模型中观察到的这种生理失调的不同方面,这些失调改变了摄食-禁食节律,并可能转化为人类健康。
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