Transdiagnostic inflammatory subgroups among psychiatric disorders and their relevance to role functioning: a nested case-control study of the ALSPAC cohort.
Transdiagnostic inflammatory subgroups among psychiatric disorders and their relevance to role functioning: a nested case-control study of the ALSPAC cohort.
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精神疾病之间的转诊性炎症亚组及其与角色功能的相关性：ALSPAC队列的嵌套病例对照研究。
DOI：
10.1038/s41398-022-02142-2
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发表时间：
2022-09-09
影响因子：
6.8
通讯作者：
Cotter, David R.
中科院分区：
文献类型：
--
作者：
Byrne, Jonah F.;Healy, Colm;Mongan, David;Susai, Subash Raj;Zammit, Stan;Focking, Melanie;Cannon, Mary;Cotter, David R.
患有精神障碍和抑郁症的个体表现出外周炎性标志物浓度的改变。有人建议，精神疾病的抗炎治疗的临床试验应根据患者的炎症特征对患者进行分层。因此，我们研究了不同亚组的个体是否存在于精神疾病中，基于他们的炎症生物标志物特征。我们测量了380名患有精神障碍、抑郁症或广泛性焦虑症的参与者和399名24岁时来自ALSPAC队列的无精神症状的对照者的17种炎症标志物和受体的血浆浓度。我们采用了半监督聚类算法，区分多个集群的精神疾病病例对照。最佳拟合是基于炎症标志物的精神疾病参与者的两簇模型（调整后的兰德指数（ARI）= 0.52 ± 0.01）。排列分析表明聚类解决方案的稳定性优于偶然性（ARI = 0.43 ± 0.11; p < 0.001），并且聚类比高斯分布更好地解释了炎症标志物数据（p = 0.021）。与第1组相比，第2组的sTNFR 1/2、suPAR、sCD 93和sIL-2 RA显著升高。表现出更高炎症的集群中的参与者不太可能在就业，教育或培训，这表明角色功能较差。这项研究发现了精神疾病特有的新型炎症标志物模式的证据，并且与疾病严重程度的转诊断指标密切相关。sTNFR 1/2、suPAR、sCD 93和sIL-2 RA可用于精神疾病抗炎治疗临床试验的分层。
Individuals with psychotic disorders and depressive disorder exhibit altered concentrations of peripheral inflammatory markers. It has been suggested that clinical trials of anti-inflammatory therapies for psychiatric disorders should stratify patients by their inflammatory profile. Hence, we investigated whether different subgroups of individuals exist across psychiatric disorders, based on their inflammatory biomarker signatures. We measured the plasma concentrations of 17 inflammatory markers and receptors in 380 participants with psychotic disorder, depressive disorder or generalised anxiety disorder and 399 controls without psychiatric symptoms from the ALSPAC cohort at age 24. We employed a semi-supervised clustering algorithm, which discriminates multiple clusters of psychiatric disorder cases from controls. The best fit was for a two-cluster model of participants with psychiatric disorders (Adjusted Rand Index (ARI) = 0.52 ± 0.01) based on the inflammatory markers. Permutation analysis indicated the stability of the clustering solution performed better than chance (ARI = 0.43 ± 0.11; p < 0.001), and the clusters explained the inflammatory marker data better than a Gaussian distribution (p = 0.021). Cluster 2 exhibited marked increases in sTNFR1/2, suPAR, sCD93 and sIL-2RA, compared to cluster 1. Participants in the cluster exhibiting higher inflammation were less likely to be in employment, education or training, indicating poorer role functioning. This study found evidence for a novel pattern of inflammatory markers specific to psychiatric disorders and strongly associated with a transdiagnostic measure of illness severity. sTNFR1/2, suPAR, sCD93 and sIL-2RA could be used to stratify clinical trials of anti-inflammatory therapies for psychiatric disorders.
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DOI：
10.1016/j.bbi.2015.06.001
发表时间：
2015-10
期刊：
Brain, behavior, and immunity
影响因子：
--
作者：
Haapakoski R;Mathieu J;Ebmeier KP;Alenius H;Kivimäki M
通讯作者：
Kivimäki M
DOI：
10.1016/j.bbi.2021.11.019
发表时间：
2022-03
期刊：
Brain, behavior, and immunity
影响因子：
--
作者：
Hoang D;Xu Y;Lutz O;Bannai D;Zeng V;Bishop JR;Keshavan M;Lizano P
通讯作者：
Lizano P
影响因子：
11
作者：
Focking, Melanie;Sabherwal, Sophie;Cotter, David R.
通讯作者：
Cotter, David R.
影响因子：
14.5
作者：
Chand, Ganesh B.;Dwyer, Dominic B.;Davatzikos, Christos
通讯作者：
Davatzikos, Christos
影响因子：
17.1
作者：
Bergin, David A.;Reeves, Emer P.;McElvaney, Noel G.
通讯作者：
McElvaney, Noel G.