Association between trace elements in serum from bipolar disorder and schizophrenia patients considering treatment effects

Cruz, Elisa Castañeda Santa; Madrid, Katherine Chacón; Arruda, Marco Aurélio Zezzi; Sussulini, Alessandra

doi:10.1016/j.jtemb.2020.126467

Cited by 17 publications

(7 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Classic psychiatric studies seem to support the devolution path because a subject can start from a normal psychiatric state to a more dysregulated, complicated, or unstable state in a gradual or abrupt manner. Moreover, previous studies also support the finding because it was reported that bipolar disorder can be a transition state between the normal and schizophrenia states [38].…”

Section: K-l Divergence Between Twosupporting

confidence: 69%

Mislabeled learning for psychiatric disorder detection

Liu

Han

2022

Preprint

View full text Add to dashboard Cite

The misdiagnosis between schizophrenia (SCZ) and bipolar disorder (BPD) has been a challenge in psychiatry. It is also a long-time unsolved mislabeled learning problem in machine learning and AI fields. In this study, we propose a psychiatric map (pMAP) diagnosis, which is built upon a novel feature self-organizing map (fSOM) algorithm, to tackle it. The psychiatric map summarizes the latent essential characteristics of each observation on a two-dimensional fSOM plane. It solves the misdiagnosis problem by providing high-accuracy psychiatric detection via automatically mislabeled observation identification. Furthermore, pMAP provides powerful and informative visualization for each observation in unveiling hidden psychiatric subtype discovery. This study also presents new insight into the pathology of psychiatric disorders by constructing the devolution path of psychiatric states via relative entropy analysis that discloses latent internal transfer and devolution road maps between different subtypes of the control, BPD, and SCZ groups. To the best of our knowledge, it is the first study to solve mislabel learning for high-dimensional data in machine learning and will inspire more future work in this field.

show abstract

Section: K-l Divergence Between Twosupporting

confidence: 69%

Mislabeled learning for psychiatric disorder detection

Liu

Han

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Recently, Santa Cruz et al. (2020) then reported lower serum concentrations of zinc in 15 BD patients indicated to be in remission according to ratings of ongoing depressive and manic symptoms.…”

Section: Discussionmentioning

confidence: 99%

“…Further, in clinical trials, zinc supplementation has been reported to improve depressive symptoms (Yosaee et al., 2020). In BD, fewer studies and with limited sample sizes have been performed but reported decreased serum zinc levels in depressed bipolar patients, while euthymic patients displayed similar zinc levels as controls (Millett et al., 2017; Santa Cruz et al., 2020; Siwek et al., 2016).…”

Section: Introductionmentioning

confidence: 99%

Serum concentration of zinc is elevated in clinically stable bipolar disorder patients

et al. 2021

View full text Add to dashboard Cite

Background Bipolar disorder (BD) is a chronic psychiatric disorder characterized by recurrent mood episodes interspersed with euthymic periods. A growing number of studies have indicated that zinc plays an important role in coordinating immune responses, as well as being involved in synaptic transmission. In the current study, we set out to measure serum levels of zinc in a meticulously phenotyped cohort of 121 euthymic BD subjects and 30 matched controls. Methods Serum levels of zinc were measured by photometry. To assess the interplay between zinc levels and immune activation in BD, we measured serum levels of high‐sensitive C‐reactive protein (hsCRP) levels by immunoturbidimetric assay, and serum levels of monocyte chemoattractant protein‐1 (MCP‐1), chitinase 3‐like protein 1 (YKL‐40), and soluble cluster of differentiation 14 (sCD14) by electrochemiluminescence enzyme‐linked immunosorbent assays. The baseline clinical diagnostic instrument for BD was the Affective Disorder Evaluation, and executive functioning was assessed by using the Delis–Kaplan Executive Function System. Results Controlling for potential confounding factors, BD patients displayed increased serum levels of zinc unrelated to hsCRP, MCP‐1, YKL‐40, and sCD14 levels. Serum levels of zinc did not associate with executive functioning or measurements of disease severity. Discussion This study suggests that the zinc homeostasis is disturbed in BD and that this dyshomeostasis is not related to ongoing mood symptoms or immune activation. Of note, serum levels were increased and hence do not support continuous zinc supplementation in BD.

show abstract

“…Nevertheless, the results of observational studies are controversial. For example, the concentration of selenium was significantly reduced in patients with schizophrenia ( 10 , 12 ). An intervention study claimed that the serum selenium level was lower in patients with schizophrenia than in healthy individuals, and, after selenium supplementation, the patients with schizophrenia improved appetite and memory ( 13 ).…”

Section: Introductionmentioning

confidence: 99%

Genetic association between circulating selenium level and the risk of schizophrenia in the European population: A two-sample Mendelian randomization study

Deng

Cui²,

Nie³

et al. 2022

Front. Nutr.

View full text Add to dashboard Cite

BackgroundThe association between circulating the selenium level and the risk of schizophrenia remains unclear.ObjectiveTo determine the relationship between the circulating selenium level and the risk of schizophrenia, using the Mendelian Randomization method in the European population.MethodsSingle nucleotide polymorphisms (SNPs) associated with the circulating selenium level were identified at p < 5 × 10−8. The inverse variance weighted (IVW) method was used as the principal MR analysis, and MR Egger, weighted median, and MR PRESSO were used to determine the accuracy of IVW results. The Cochran's Q-test and Leave-One-Out sensitivity analysis were performed to evaluate the heterogeneity and stability of genetic variants on schizophrenia.ResultsThe circulating selenium level was associated with decreased risk of schizophrenia by the IVW method (OR: 0.906, 95% CI:0.867–0.947). MR Egger, weighted median, and MR PRESSO methods got similar results. No heterogeneity was detected by the Cochran's Q-test, and no single SNP was driving the overall effect by leave-one-out analysis.ConclusionOur study provides support for the genetic relationship between the circulating selenium level and schizophrenia; the decreased circulating selenium level was associated with an elevated risk of schizophrenia.

show abstract

Association between trace elements in serum from bipolar disorder and schizophrenia patients considering treatment effects

Cited by 17 publications

References 40 publications

Mislabeled learning for psychiatric disorder detection

Mislabeled learning for psychiatric disorder detection

Serum concentration of zinc is elevated in clinically stable bipolar disorder patients

Genetic association between circulating selenium level and the risk of schizophrenia in the European population: A two-sample Mendelian randomization study

Contact Info

Product

Resources

About