Bipolar disorder is a highly heritable and functionally impairing disease.The recognition and intervention of BD especially that characterized by early onset remains challenging.Risk biomarkers for predicting BD trans...Bipolar disorder is a highly heritable and functionally impairing disease.The recognition and intervention of BD especially that characterized by early onset remains challenging.Risk biomarkers for predicting BD transition among at-risk youth may improve disease prognosis.We reviewed the more recent clinical studies to find possible pre-diagnostic biomarkers in youth at familial or(and)clinical risk of BD.Here we found that putative biomarkers for predicting conversion to BD include findings from multiple sample sources based on different hypotheses.Putative risk biomarkers shown by perspective studies are higher bipolar polygenetic risk scores,epigenetic alterations,elevated immune parameters,front-limbic system deficits,and brain circuit dysfunction associated with emotion and reward processing.Future studies need to enhance machine learning integration,make clinical detection methods more objective,and improve the quality of cohort studies.展开更多
基金supported by the Beijing Commission of Science and Technology (Z191100006619113)the National Natural Science Foundation of China (32070589 and 82171500).
文摘Bipolar disorder is a highly heritable and functionally impairing disease.The recognition and intervention of BD especially that characterized by early onset remains challenging.Risk biomarkers for predicting BD transition among at-risk youth may improve disease prognosis.We reviewed the more recent clinical studies to find possible pre-diagnostic biomarkers in youth at familial or(and)clinical risk of BD.Here we found that putative biomarkers for predicting conversion to BD include findings from multiple sample sources based on different hypotheses.Putative risk biomarkers shown by perspective studies are higher bipolar polygenetic risk scores,epigenetic alterations,elevated immune parameters,front-limbic system deficits,and brain circuit dysfunction associated with emotion and reward processing.Future studies need to enhance machine learning integration,make clinical detection methods more objective,and improve the quality of cohort studies.
