Suppr超能文献

走向人类疾病行为的综合图景。

Towards an integrative picture of human sickness behavior.

机构信息

Laboratory for Evolutionary Medicine, Department of Anthropology, University of Texas at San Antonio, San Antonio, TX, United States.

Laboratory for Evolutionary Medicine, Department of Anthropology, University of Texas at San Antonio, San Antonio, TX, United States.

出版信息

Brain Behav Immun. 2016 Oct;57:255-262. doi: 10.1016/j.bbi.2016.05.002. Epub 2016 May 7.

Abstract

Sickness behavior, a coordinated set of behavioral changes during infection and elicited by the pro-inflammatory cytokines tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and interleukin-1β (IL-1β), is well studied in non-human animals. Over the last two decades, several papers have expanded this research to include humans. However, these studies use a variety of research designs, and typically focus on a single cytokine and only a few of the many behavioral changes constituting sickness behavior. Therefore, our understanding of human sickness behavior remains equivocal. To generate a more holistic, integrative picture of this phenomenon, a meta-analysis of the human sickness behavior literature was conducted. Full model results show that both IL-6 and IL-1β have significant relationships with sickness behavior, and the strength of these relationships is affected by a number of study parameters, such as type of immune stimulus and inclusion of controls. In addition to research design heterogeneity, other issues to address in future studies include an unequal focus on different cytokines and different sickness behaviors.

摘要

疾病行为是指感染期间一系列协调的行为变化,由促炎细胞因子肿瘤坏死因子-α(TNF-α)、白细胞介素-6(IL-6)和白细胞介素-1β(IL-1β)引发,在非人类动物中已有深入研究。在过去的二十年中,已有几篇论文将这一研究扩展到了人类。然而,这些研究使用了各种研究设计,并且通常专注于单一细胞因子和构成疾病行为的许多行为变化中的少数几种。因此,我们对人类疾病行为的理解仍然存在争议。为了更全面、综合地了解这一现象,对人类疾病行为文献进行了荟萃分析。全模型结果表明,IL-6 和 IL-1β 与疾病行为均有显著关系,这些关系的强度受许多研究参数的影响,如免疫刺激的类型和是否包含对照组。除了研究设计的异质性外,未来研究中还需要解决其他问题,包括对不同细胞因子和不同疾病行为的关注不平等。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验