Metabolomics, Lipidomics, and Antipsychotics: A Systematic Review.
Metabolomics, Lipidomics, and Antipsychotics: A Systematic Review.
复制标题
DOI:
10.3390/biomedicines11123295
复制
发表时间:
2023-12-13
期刊:
影响因子:
4.7
通讯作者:
中科院分区:
文献类型:
--
作者:
Antipsychotics are an important pharmacotherapy option for the treatment of many mental illnesses. Unfortunately, selecting antipsychotics is often a trial-and-error process due to a lack of understanding as to which medications an individual patient will find most effective and best tolerated. Metabolomics, or the study of small molecules in a biosample, is an increasingly used omics platform that has the potential to identify biomarkers for medication efficacy and toxicity. This systematic review was conducted to identify metabolites and metabolomic pathways associated with antipsychotic use in humans. Ultimately, 42 studies were identified for inclusion in this review, with all but three studies being performed in blood sources such as plasma or serum. A total of 14 metabolite classes and 12 lipid classes were assessed across studies. Although the studies were highly heterogeneous in approach and mixed in their findings, increases in phosphatidylcholines, decreases in carboxylic acids, and decreases in acylcarnitines were most consistently noted as perturbed in patients exposed to antipsychotics. Furthermore, for the targeted metabolomic and lipidomic studies, seven metabolites and three lipid species had findings that were replicated. The most consistent finding for targeted studies was an identification of a decrease in aspartate with antipsychotic treatment. Studies varied in depth of detail provided for their study participants and in study design. For example, in some cases, there was a lack of detail on specific antipsychotics used or concomitant medications, and the depth of detail on sample handling and analysis varied widely. The conclusions here demonstrate that there is a large foundation of metabolomic work with antipsychotics that requires more complete reporting so that an objective synthesis such as a meta-analysis can take place. This will then allow for validation and clinical application of the most robust findings to move the field forward. Future studies should be carefully controlled to take advantage of the sensitivity of metabolomics while limiting potential confounders that may result from participant heterogeneity and varied analysis approaches.
登录
查看更多内容
影响因子:
3.7
作者:
Yao JK;Dougherty GG Jr;Reddy RD;Keshavan MS;Montrose DM;Matson WR;McEvoy J;Kaddurah-Daouk R
通讯作者:
Kaddurah-Daouk R
影响因子:
4.1
作者:
Ward KM;Yeoman L;McHugh C;Kraal AZ;Flowers SA;Rothberg AE;Karnovsky A;Das AK;Ellingrod VL;Stringer KA
通讯作者:
Stringer KA
影响因子:
6.8
作者:
He Y;Yu Z;Giegling I;Xie L;Hartmann AM;Prehn C;Adamski J;Kahn R;Li Y;Illig T;Wang-Sattler R;Rujescu D
通讯作者:
Rujescu D
DOI:
10.1016/j.pnpbp.2020.109945
发表时间:
2020-07-13
影响因子:
5.6
作者:
de Almeida, Valeria;Alexandrino, Guilherme L.;Martins-de-Souza, Daniel
通讯作者:
Martins-de-Souza, Daniel
影响因子:
3.3
作者:
Al Awam, Khaled;Haussleiter, Ida Sibylle;Thome, Johannes
通讯作者:
Thome, Johannes