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Home › Dataset Library › Expression data from Patients with Bipolar (BP) Disorder and Matched Control Subjects

Dataset: Expression data from Patients with Bipolar (BP) Disorder and Matched Control Subjects

There are currently no biological tests that differentiate patients with bipolar disorder (BPD) from healthy controls. While there is...

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There are currently no biological tests that differentiate patients with bipolar disorder (BPD) from healthy controls. While there is evidence that peripheral gene expression differences between patients and controls can be utilized as biomarkers for psychiatric illness, it is unclear whether current use or residual effects of antipsychotic and mood stabilizer medication drives much of the differential transcription. We therefore tested whether expression changes in first-episode, never-medicated bipolar patients, can contribute to a biological classifier that is less influenced by medication and could potentially form a practicable biomarker assay for BPD. We employed microarray technology to measure global leukocyte gene expression in first-episode (n=3) and currently medicated BPD patients (n=26), and matched healthy controls (n=25). Following an initial feature selection of the microarray data, we developed a cross-validated 10-gene model that was able to correctly predict the diagnostic group of the training sample (26 medicated patients and 12 controls), with 89% sensitivity and 75% specificity (p<0.001). The 10-gene predictor was further explored via testing on an independent test cohort consisting of three pairs of monozygotic twins discordant for BPD, plus the original enrichment sample cohort (the three never-medicated BPD patients and 13 matched control subjects), and a sample of experimental replicates (n=34). 83% of the independent test sample was correctly predicted, with a sensitivity of 67% and specificity of 100% (although this result did not reach statistical significance). Additionally, 88% of sample diagnostic classes were classified correctly for both the enrichment (p=0.015) and the replicate samples (p<0.001). Peripheral blood leukocytes (PBLs) from whole blood were collected from 26 patients with bipolar disorder who had previously received medication, three patients with bipolar disorder who were experiencing their first hospitalization and had not previously received medication, and 25 matched control subjects, for RNA extraction and hybridization on Affymetrix microarrays. Immediately after blood collection, blood samples were split into two (when a sufficient volume had been collected); an "1" and replicate "2" sample (thus two separate RNA extractions, cDNA and cRNA syntheses and array hybridizations were performed).

Species:
human

Samples:
88

Source:
E-GEOD-46449

Updated:
Dec.12, 2014

Registered:
Jul.12, 2014


Factors: (via ArrayExpress)
Sample AGE GENOTYPE
GSM1130489 50 bipolar patient
GSM1130488 23 control subject
GSM1130488 23 control subject
GSM1130486 28 bipolar patient
GSM1130486 28 bipolar patient
GSM1130488 23 control subject
GSM1130488 23 control subject
GSM1130482 35 bipolar patient
GSM113048 31 bipolar patient
GSM1130480 24 bipolar patient
GSM1130480 24 bipolar patient
GSM1130478 37 bipolar patient
GSM1130478 37 bipolar patient
GSM1130476 29 control subject
GSM1130475 25 bipolar patient
GSM1130474 70 bipolar patient
GSM1130474 70 bipolar patient
GSM1130480 24 bipolar patient
GSM1130480 24 bipolar patient
GSM1130480 24 bipolar patient
GSM1130469 38 bipolar patient
GSM1130469 38 bipolar patient
GSM1130467 63 bipolar patient
GSM1130467 63 bipolar patient
GSM113048 31 bipolar patient
GSM113048 31 bipolar patient
GSM1130463 26 bipolar patient
GSM1130463 26 bipolar patient
GSM113046 23 bipolar patient
GSM1130460 48 bipolar patient
GSM1130460 48 bipolar patient
GSM1130458 33 bipolar patient
GSM1130458 33 bipolar patient
GSM1130456 41 bipolar patient
GSM1130456 41 bipolar patient
GSM1130454 58 bipolar patient
GSM1130454 58 bipolar patient
GSM1130452 49 bipolar patient
GSM1130452 49 bipolar patient
GSM1130452 49 bipolar patient
GSM1130489 50 bipolar patient
GSM1130467 63 bipolar patient
GSM1130463 26 bipolar patient
GSM1130463 26 bipolar patient
GSM1130445 21 control subject
GSM1130444 24 control subject
GSM1130443 52 control subject
GSM1130442 42 control subject
GSM113044 62 control subject
GSM1130440 36 control subject
GSM1130440 36 control subject
GSM1130438 30 control subject
GSM1130440 36 control subject
GSM1130440 36 control subject
GSM1130435 25 control subject
GSM1130435 25 control subject
GSM1130433 37 control subject
GSM1130433 37 control subject
GSM113043 27 control subject
GSM113043 27 control subject
GSM1130429 28 control subject
GSM1130429 28 control subject
GSM1130442 42 control subject
GSM1130442 42 control subject
GSM1130476 29 control subject
GSM113043 27 control subject
GSM113043 27 control subject
GSM1130422 26 control subject
GSM1130422 26 control subject
GSM113048 31 bipolar patient
GSM113048 31 bipolar patient
GSM1130418 33 control subject
GSM1130418 33 control subject
GSM113043 27 control subject
GSM113043 27 control subject
GSM1130456 41 bipolar patient
GSM1130456 41 bipolar patient
GSM1130412 40 bipolar patient
GSM1130412 40 bipolar patient
GSM1130410 35 control subject
GSM1130410 35 control subject
GSM1130429 28 control subject
GSM1130412 40 bipolar patient
GSM1130412 40 bipolar patient
GSM1130405 43 control subject
GSM1130405 43 control subject
GSM1130467 63 bipolar patient
GSM1130467 63 bipolar patient

Tags

  • bipolar disorder
  • leukocyte
  • peripheral
  • volume

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