Unveiling the Intricate Causal Nexus Between 91 Circulating Inflammatory Proteins and Perianal Abscess Through a Comprehensive Bidirectional Two-Sample Mendelian Randomization Analysis

IF 2.1 Q2 MEDICINE, GENERAL & INTERNAL
Menghan Zhou, Shuning Liu, Junpeng Guo
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Their identification of both risk-associated and protective inflammatory proteins sheds new light on the potential pathophysiological mechanisms of PA and highlights possible biomarkers for future clinical applications.</p><p>First, we acknowledge the careful selection of 91 inflammatory proteins and the use of multiple sensitivity analyses to ensure the robustness of the findings. However, the GWAS datasets were predominantly derived from European ancestry populations, and some protein exposures had relatively modest sample sizes. Moreover, potential confounders such as lifestyle factors, comorbid conditions, or environmental exposures were not fully accounted for in the MR framework. These limitations may affect the strength and generalizability of the causal inferences [<span>2</span>]. 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引用次数: 0

Abstract

We read with great interest the article titled “Unveiling the Intricate Causal Nexus Between 91 Circulating Inflammatory Proteins and Perianal Abscess Through a Comprehensive Bidirectional Two-Sample Mendelian Randomization Analysis,” [1] which offers valuable insights into the complex relationship between circulating inflammatory proteins and the risk of perianal abscess (PA). The authors' use of a comprehensive bidirectional Mendelian randomization (MR) approach is commendable, as it minimizes confounding and reverse causation, providing more robust evidence than traditional observational studies. Their identification of both risk-associated and protective inflammatory proteins sheds new light on the potential pathophysiological mechanisms of PA and highlights possible biomarkers for future clinical applications.

First, we acknowledge the careful selection of 91 inflammatory proteins and the use of multiple sensitivity analyses to ensure the robustness of the findings. However, the GWAS datasets were predominantly derived from European ancestry populations, and some protein exposures had relatively modest sample sizes. Moreover, potential confounders such as lifestyle factors, comorbid conditions, or environmental exposures were not fully accounted for in the MR framework. These limitations may affect the strength and generalizability of the causal inferences [2]. We suggest that future work consider incorporating larger, multi-ethnic datasets and performing multivariable MR to adjust for potential residual confounding and improve external validity.

Second, it is commendable that the study individually assessed numerous inflammatory proteins, revealing both risk factors (e.g., IL-18R1, IL-33) and protective factors (e.g., IL-2, PD-L1). Nonetheless, treating each protein as an independent exposure may oversimplify the intricate interplay between inflammatory pathways. In reality, many cytokines function in networks, where synergistic or antagonistic effects may shape disease risk. Employing multivariable or mediation MR models could help clarify whether certain proteins act as upstream regulators or downstream mediators within shared inflammatory pathways [3]. Such an approach would provide a more mechanistic understanding of how inflammatory cascades collectively contribute to PA development.

Lastly, while the study established causal associations, the clinical phenotype of PA was considered as a binary outcome. PA itself has heterogeneous presentations, ranging from simple abscesses to recurrent or fistula-associated forms, which may have distinct inflammatory profiles. Stratifying PA cases by clinical subtype or severity, could yield more nuanced insights into which inflammatory proteins are most relevant to disease progression [4]. Furthermore, functional validation in patient-derived tissue or animal models would help bridge the gap between genetic associations and biological mechanisms.

In conclusion, this study makes an important contribution by identifying novel inflammatory proteins associated with PA risk and demonstrating the utility of bidirectional MR in elucidating causal pathways. We applaud the authors' efforts and hope that future research will expand these findings by incorporating more diverse populations, exploring protein interaction networks, and refining clinical phenotypes to enhance translational relevance.

Menghan Zhou: writing – original draft. Shuning Liu: investigation, methodology. Junpeng Guo: writing – review and editing, supervision.

This is a review article therefore no additional ethical approval was required.

The authors declare no conflicts of interest.

The lead / Corresponding author (Menghan Zhou) affirms that this manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant, registered) have been explained.

Abstract Image

通过全面的双向双样本孟德尔随机分析揭示了91种循环炎症蛋白与肛周脓肿之间复杂的因果关系。
我们非常感兴趣地阅读了题为“通过全面的双向双样本孟德尔随机化分析揭示91种循环炎症蛋白与肛周脓肿之间复杂的因果关系”的文章,该文章为循环炎症蛋白与肛周脓肿(PA)风险之间的复杂关系提供了有价值的见解。作者使用全面的双向孟德尔随机化(MR)方法是值得称赞的,因为它最大限度地减少了混淆和反向因果关系,提供了比传统观察性研究更有力的证据。他们对风险相关和保护性炎症蛋白的鉴定为PA的潜在病理生理机制提供了新的线索,并为未来的临床应用提供了可能的生物标志物。首先,我们仔细选择了91种炎症蛋白,并使用多重敏感性分析来确保研究结果的稳健性。然而,GWAS数据集主要来自欧洲血统人群,一些蛋白质暴露的样本量相对较小。此外,潜在的混杂因素,如生活方式因素、合并症或环境暴露,在MR框架中没有得到充分考虑。这些限制可能会影响因果推论的强度和普遍性。我们建议未来的工作考虑纳入更大的、多民族的数据集,并执行多变量MR来调整潜在的残留混淆并提高外部有效性。其次,值得称赞的是,该研究单独评估了许多炎症蛋白,揭示了危险因素(如IL-18R1, IL-33)和保护因素(如IL-2, PD-L1)。尽管如此,将每种蛋白质视为独立暴露可能会过度简化炎症途径之间复杂的相互作用。实际上,许多细胞因子在网络中起作用,其中协同或拮抗作用可能决定疾病风险。采用多变量或中介MR模型可以帮助阐明某些蛋白质在共同炎症通路[3]中是作为上游调节因子还是下游调节因子。这种方法将提供对炎症级联如何共同促进PA发展的更机械的理解。最后,虽然研究建立了因果关系,但PA的临床表型被认为是一个二元结果。PA本身有不同的表现,从单纯的脓肿到复发或瘘相关的形式,可能有不同的炎症特征。根据临床亚型或严重程度对PA病例进行分层,可以更细致地了解哪些炎症蛋白与疾病进展最相关。此外,在患者来源的组织或动物模型中进行功能验证将有助于弥合遗传关联和生物学机制之间的差距。总之,本研究通过识别与PA风险相关的新型炎症蛋白,并证明双向MR在阐明因果途径方面的效用,做出了重要贡献。我们赞赏作者的努力,并希望未来的研究将通过纳入更多不同的人群,探索蛋白质相互作用网络,完善临床表型以增强翻译相关性来扩展这些发现。周梦涵:写作——原稿。刘书宁:调查,方法论。郭俊鹏:写作-审编,监督。这是一篇综述性文章,因此不需要额外的伦理批准。作者声明无利益冲突。第一作者/通讯作者周梦涵(Menghan Zhou)确认该稿件是对所报道研究的诚实、准确和透明的描述;没有遗漏研究的重要方面;并且研究计划中的任何差异(如果相关的话,记录)都已得到解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Health Science Reports
Health Science Reports Medicine-Medicine (all)
CiteScore
1.80
自引率
0.00%
发文量
458
审稿时长
20 weeks
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