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PBMCs and LCLs in Complex<br />

Neuropsychiatric Disorders<br />

Marquis P. <strong>Vawter</strong>, Ph.D.<br />

<strong>Functional</strong> <strong>Genomics</strong> <strong>Lab</strong>oratory<br />

Psychiatry and Human Behavior<br />

University of California, Irvine


Objectives -- Biomarkers<br />

Transformation of PBMCs (Peripheral Blood<br />

Mononuclear Cells) Into LCLs (Lymphoblastic<br />

Cell Lines) , Compare To Whole Blood<br />

Correlation of PBMCs And Brain Expression<br />

Klinefelter’s Syndrome, Cognition, and Gene<br />

Expression In LCLs.<br />

Trans-Regulatory Loci Stress Response in<br />

LCLs


Psychiatric Illnesses And Microarray Gene<br />

Expression<br />

Psychiatric Disorder N PBMC/LCL/Whole Author Year<br />

Panic Disorder 60 LCL Philibert et al. 2007<br />

Nicotine Dependence 94 LCL Philibert et al. 2007<br />

Bipolar Disorder 40<br />

54<br />

PBMC<br />

PBMC<br />

Konradi et al.<br />

Glatt et al.<br />

2007<br />

2005<br />

Klinefelter’s Syndrome 17 LCL <strong>Vawter</strong> et al. 2007<br />

Alzheimer’s Disease 14<br />

32<br />

Schizophrenia And<br />

Bipolar Disorder<br />

74<br />

76<br />

118<br />

PBMC<br />

PBMC<br />

Whole Blood<br />

PBMC<br />

LCL<br />

Maes et al.<br />

Kálmán et al.<br />

Tsuang et al.<br />

Middleton et al.<br />

Iwamoto et al.<br />

2006<br />

2005<br />

2005<br />

2005<br />

2005<br />

Huntington’s Disease 83 Whole Blood Borovecki et al. 2005<br />

Neurofibromatosis Type 1 /<br />

Epilepsy/Tourette’s Syndrome<br />

129 Whole Blood Tang et al. 2005<br />

Down’s Syndrome 4 LCL Giannone et al. 2004<br />

Schizophrenia 10<br />

14<br />

LCL<br />

LCL<br />

<strong>Vawter</strong> et al.<br />

<strong>Vawter</strong> et al.<br />

2006<br />

2004


Advantage to cells and cell lines<br />

• Less agonal artifacts<br />

• Medication(s) might wash out in repeated passage, although epigenetic<br />

effects may persist.<br />

• Easier and more abundant access than brain<br />

• Can be used in experimental research for repeated measures, such as doseresponse<br />

titration.<br />

• Variance in gene expression trait in cells may be linked to genetic loci<br />

• Can be obtained repeatedly<br />

• Expression might be more stable than Ficoll isolated PBMCs?<br />

Some disadvantages to cell lines<br />

• Not related to brain tissue<br />

• Immortalized which might alter gene transcription machinery


Intrinsic interindividual differences in<br />

gene expression patterns (PBMC).<br />

PBMC: Whole Blood Comparison (Whitney et al., 2003)


Expression Whole Blood, PBMCs, LCLs?<br />

Subject<br />

1<br />

2<br />

3<br />

4<br />

5<br />

6<br />

7<br />

8<br />

Whole Blood<br />

(Tempus,<br />

ABI)<br />

T<br />

Pre Post<br />

PBMC<br />

(Ficoll)<br />

F<br />

Transformed<br />

P0<br />

Passage 1<br />

P1<br />

Passage 2<br />

P2


QC-Affymetrix Exon Array<br />

Positive vs. Negative ROC AUC : positive-negative controls<br />

Gender T F P0 P1 P2<br />

F 0.862 0.9 0.9 0.9 0.9<br />

F 0.871 0.9 0.9 0.9 0.9<br />

F 0.867 0.9 0.9 0.9 0.9<br />

F 0.859 0.9 0.9 0.9 0.9<br />

Mean 0.865 0.902 0.902 0.905 0.903<br />

SD 0.006 0.007 0.004 0.004 0.006<br />

M 0.873 0.9 0.9 0.9 0.9<br />

M 0.869 0.9 0.9 NA NA<br />

M 0.881 0.9 0.9 0.9 0.9<br />

M 0.866 0.9 0.9 0.9 0.9<br />

Mean 0.872 0.891 0.897 0.879 0.895<br />

SD 0.007 0.010 0.002 0.007 0.004<br />

p-value 0.140 0.099 0.083 0.002 0.119<br />

Grand mean 0.869 0.896 0.899 0.894 0.900<br />

SD 0.007 0.010 0.004 0.014 0.006


Covariance PCA


Expression Differences RefSeq<br />

Transcripts Between Preparations<br />

Variable Name Cutoff Value # of Significant p-values<br />

PREPARATION 8.10E-06 7358<br />

PBMC- P0 4.63E-06 3973<br />

PBMC – P1 4.52E-06 3798<br />

PBMC – P2 4.72E-06 4105<br />

PBMC - WB 3.71E-06 2341<br />

P0 - P1 2.80E-06 14<br />

P0 – P2 2.81E-06 43<br />

P1 – P2 2.80E-06 5<br />

P0, P1, P2 -- Passage 0, 1, 2<br />

PBMC -- Peripheral Blood Mononuclear Cells<br />

WB -- Whole Blood processed in Tempus Tubes<br />

Whitney et al (2003)<br />

reported “~2,000 transcripts<br />

for this PBMC:WB<br />

comparison with at least a<br />

2-fold average difference. “


Transformation (Effect Across Transcripts)


Expected Gender Difference Across 5<br />

RPS4Y1<br />

Preparations


Genome Wide View Of Subject<br />

(Gender effect), < 10-6


Highly Significant Expression<br />

Difference Across Preparations<br />

CPVL carboxypeptidase, vitellogenic-like<br />

“Using differential display PCR,<br />

we cloned a novel<br />

carboxypeptidase expressed in<br />

human macrophages but not in<br />

other leukocytes.” 2001 Mar<br />

15;72(3):243-51. Cloning and<br />

characterization of CPVL, a novel<br />

serine carboxypeptidase, from<br />

human macrophages. Mahoney<br />

JA, et al.


PBMC expression compared to LCLs<br />

from same subjects.<br />

Transcript differences across genome (pvalue<br />

< 10 -6 ).


PBMC expression compared to<br />

LCLs from same subjects.<br />

Test chromosomal over-rep of<br />

results that pass 10^6.


Over-representation by cytogenetic<br />

band<br />

Cytoband Count % Corrected P-value Differentially Expressed Genes In Cytoband<br />

19q13.4 11 1.34% 1.31E-04 FPR1, LILRA5, LILRA1, LILRB2, LILRA2,<br />

LILRA3, LILRA4, LILRB3, LILRB1, LAIR1,<br />

LILRA6<br />

2p12 6 0.73% 3.82E-04 IGKC, CD8A, CD8B, IGKV1-5, EIF2AK3,<br />

IGKV1D-13<br />

7q34 6 0.73% 2.20E-02 TRBV5-4, TRBV21-1, TRBC1, TRBV19,<br />

TRBV4-1, TRBV3-1<br />

1p31 4 0.49% 3.32E-02 MSH4, ACADM, RABGGTB, AK5<br />

1q23 4 0.49% 3.90E-02 FCGR2A, NDUFS2, FCER1G, FCGR3A<br />

1p31.1 4 0.49% 3.90E-02 IFI44, DNAJB4, CTH, IFI44L<br />

2q35 5 0.61% 5.46E-02 CTDSP1, DSU, SLC11A1, IL8RB, IL8RA


EBI3 (Epstein Barr Virus Induced Gene 3)<br />

Transformed<br />

(P0,P1,P2)<br />

Non Transformed<br />

(Whole Blood, Ficoll WBC)


EBV Induced Gene 6


SH2D1A Expression Repressed By<br />

EBV


Q-PCR Validation Relative to PBMC<br />

Whole Blood<br />

Tempus<br />

Transformed<br />

PBMCs<br />

Passage 1 Passage 2<br />

CCL22<br />

Fold Change 9.8 3,774,507 2,404,824 1,504,355<br />

(p)# 0.00064215 0.00000003 0.00000007 0.00000510<br />

HCK<br />

Fold Change 1.48 0.07 0.06 0.05<br />

(p) 0.2209 0.0019 0.0019 0.0026<br />

SH2D1A<br />

Fold Change 0.90 0.31 0.37 0.15<br />

(p) 0.1088 0.0178 0.0907 0.0157<br />

TRAF1<br />

Fold Change 1.75 45.19 44.63 47.53<br />

(p) 0.0799 0.0001 0.0005 0.0007


Transformation Induces Consistent<br />

Expression Changes Across Subjects


Which Preparations To Study<br />

• PBMCs were isolated within 2 hr of blood draw<br />

• Majority of PBMCs viable (Trypan blue )<br />

• WB drawn into Tempus tubes was immediately „stopped‟<br />

These findings show that a large difference in transcription<br />

profiling occurs due to the isolation of PBMCs.<br />

Somewhat surprising was the observation that once cells are<br />

transformed, further passages of transformed cell lines at<br />

confluency did not induce significant differential gene expression.<br />

PBMC -- Peripheral Blood Mononuclear Cells<br />

WB -- Whole Blood processed in Tempus Tubes


Brain-Lymphocyte Potential<br />

Biomarkers


Brain-Lymphocyte<br />

Potential Biomarkers<br />

A B


Tissue Diagnosis<br />

Age<br />

(yrs)<br />

Gender<br />

Brain-Lymphocyte<br />

Potential Biomarkers<br />

Agilent<br />

Bioanalyser<br />

28S/18S Ratio<br />

OD 260/<br />

280<br />

Yield (microgram / mg) or<br />

(microgram / 10^6 cells)<br />

Array Type<br />

Cerebellum Control 67 M 2.8 1.50 69.0 EXON<br />

Lymphocyte Control 67 M 1.8 1.55 7.2 EXON<br />

Cerebellum<br />

Lymphocyte<br />

Major<br />

Depressive<br />

Disorder<br />

Major<br />

Depressive<br />

Disorder<br />

77 M 2.8<br />

77 M 1.9<br />

1.72 31.9<br />

1.61 17.5<br />

Cerebellum Control 72 M 2.6 1.54 67.2 EXON<br />

Lymphocyte Control 72 M 1.9 1.75 8.0 EXON<br />

Cerebellum<br />

Lymphocyte<br />

Bipolar<br />

Disorder<br />

Bipolar<br />

Disorder<br />

51 F 2.5<br />

51 F 1.6<br />

1.74 31.7<br />

1.61 4.4<br />

Cerebellum Schizophrenia 52 M 2.3 1.76 56.9 U133P<br />

Lymphocyte Schizophrenia 52 M 1.3 1.51 2.6 U133P<br />

Cerebellum Schizophrenia 69 M 1.2 1.81 57.3 U133P<br />

Lymphocyte Schizophrenia 69 M NA 1.74 18.9 U133P<br />

Cerebellum Control 55 M 0.6 1.76 57.7 U133P<br />

Lymphocyte Control 55 M NA 1.67 13.9 U133P<br />

EXON<br />

EXON<br />

EXON<br />

EXON


Brain-Lymphocyte<br />

Potential Biomarkers<br />

The same array type (Affymetrix Human 1.0 ST Exon Array) was used<br />

to compare 4 matched brain and PBMC pairs of samples from the<br />

same subjects.<br />

For a separate comparison of brain and lymphocytes, 3 postmortem<br />

donor subjects were additionally matched for brain and PBMC pairs<br />

and analysed on the Affymetrix U133 Plus chips .<br />

The overlap between both platforms for the two independent brain and<br />

PBMC experiments was evaluated and reported.


Cerebellum-Lymphocyte Gene Summary For<br />

18,560 RefSeq Transcripts


Filtered List Of 6,570 Refseq Transcripts Showing<br />

Brain-Lymphocyte Coexpression<br />

Filtering criteria were mean fold change within ± 1.4 , the mean tissue comparison<br />

was not significant following a Bonferroni correction, and mean signal greater than<br />

4 (log 2) in both tissues.


Biomarker— Working Definition<br />

A. Expressed in WB, PBMC, LCL (not different among 5<br />

preparations, 10 post-hoc comparisons, and above<br />

background). 8,448<br />

B. Expressed in PBMCs and brain from same matched<br />

subjects , experiment repeated twice with different<br />

platform and subjects. 4,103<br />

The intersection of A+B is 2,124.


Hit Rate On Putative Biomarkers<br />

Gene Brain Expression From Allen Brain Atlas<br />

ACTL7B Very low expression in olfactory bulb.<br />

ANKRD49 Widely expressed throughout brain, including cortex, hippocampal CA1-CA3, hypothalamus<br />

and olfactory bulb.<br />

ATF6 Extremely widely expressed throughout entire brain. Expressed in the cortex, hippocampus,<br />

olfactory bulb, cerebellum, thalamus, hypothalamus, amygdale, basal ganglia.<br />

HOXB1 Expressed in cortex, amygdala, basal ganglia, hippocampus, cerebellum.<br />

KRT24 Expressed in cerebellum, cortex, basal ganglia, hippocampus, olfactory bulb.<br />

RDH13 Not included in Allen Brain Atlas.<br />

RPAP1 Expressed in cortex, cerebellum, hippocampus, olfactory bulb.<br />

SERPINA6 Expressed widely throughout cortex, amygdala, caudate putamen, thalamus, cerebellum.<br />

SRPX2 Expressed throughout cortex, amygdala, cerebellum, Moderate expression in CA1-3 and<br />

dentate gyrus.<br />

TNFAIP8L1 Very sparse, low expression in cortex and olfactory bulb (may be background). Appears to<br />

outline cortex and olfactory bulb, possibly labeling meninges.<br />

Random drawing of 10 genes from the biomarker list showed 7 / 9<br />

transcripts widely expressed in brain, 2 sparse or low, 1 not<br />

found.


Presenilin Expression In Brain and<br />

Lymphocytes


Dysregulation Of X-linked Gene<br />

Expression In Klinefelter’s Syndrome<br />

And Association With Verbal Cognition<br />

Klinefelter's syndrome --<br />

• 47,XXY chromosomal pattern<br />

• Associated with physical abnormalities, cognitive<br />

impairments, and psychiatric pathology.<br />

• May be a neuropsychiatric genetic model for<br />

dysregulation involving X chromosome


Study Design XXY Gene Expression<br />

Klinefelter's syndrome --<br />

• The dysregulation involving X chromosome was the<br />

target of our investigation of gene expression<br />

• We studied 11 males (47, XXY confirmed<br />

karyotypes) and compared to 7 XY males.<br />

• LCLs (Lynn DeLisi, M.D.) and Trizol RNA extracts.<br />

• U133Plus 2.0 chips.


Dysregulation Of X-linked Gene<br />

Expression In Klinefelter’s Syndrome<br />

Found gene expression differernces between XXY<br />

and XY males (passed Benjamini Hochberg FDR,<br />

Partek) for 128 ENSEMBL transcripts.<br />

• The X-chromosome was over-represented.<br />

• Correlated 128 transcripts with Verbal Cognitive<br />

psychometric testing conducted by P. Harvey, Ph.D.<br />

at Mt Sinai School of Medicine.


Genes Dysregulated X-linked<br />

Fold change *Number of<br />

Cytoband Symbol P-value (Klinefelter's/control) brain regions<br />

Xq13.2 XIST 6.28E-15 136.53 3<br />

Xq13.2 XIST 4.88E-15 79.06 3<br />

Xp21.3 CXorf21 3.08E-07 2.62 17<br />

Xq28 ZNF275 4.54E-08 2.02 13<br />

Xp22.32 DXYS155E 2.49E-06 1.95 8<br />

Xp11.22-p11.21 SMCX 1.85E-06 1.81 5<br />

Xp21.3 ZFX 3.57E-09 1.81 5<br />

Xp22.33/Yp11.32 GTPBP6 2.59E-06 1.65 8<br />

Xq28 MECP2 3.07E-07 1.36 1<br />

Xq13.1 RPS4X 6.83E-07 1.18 10<br />

Xp11.23-p11.22 SLC35A2 2.66E-07 0.8 16<br />

Xp11.23-p11.22 SLC35A2 1.50E-07 0.78 16<br />

Xp22.2-p22.1 YY2 1.25E-07 0.72 6<br />

Xp22.1-p22.2 MBTPS2 1.93E-08 0.54 7<br />

Xq13 PGK1 2.11E-06 0.29 2<br />

Xq13.1-q21.1 TAF9L 2.45 E-06 0.56 2<br />

* Number of brain regions above median expression (Novartis SymAtlas)


XIST Expressed At High Levels In XXY<br />

Previously reported XIST reference<br />

Individuals


Gene XXY (ave<br />

delta Ct)<br />

QPCR Microarray<br />

XY (ave<br />

delta Ct)<br />

Fold<br />

change<br />

t-test (Pvalue)<br />

Gene XXY ave XY ave FC t-test (Pvalue)<br />

XIST -2.29 11.03 10231.0 0.00006 XIST 4.77 -2.33 136.53 6.28E-15<br />

ZNF275 -1.65 -0.23 2.68 0.00031 ZNF275 2.90 1.89 2.02 4.53E-08<br />

CXorf21 -0.90 0.14 2.06 0.05957 CXorf21 1.07 -0.32 2.62 3.08E-07<br />

SMCX 0.24 1.27 2.05 0.04849 SMCX 1.47 0.61 1.81 1.85E-06<br />

GTBP6 2.06 3.03 1.96 0.00716 GTBP6 0.00 -0.38 1.65 2.59E-06<br />

MECP2 2.05 2.06 1.00 0.99409 MECP2 0.70 0.26 1.36 3.07E-07<br />

RECQL -0.62 -0.86 0.84 0.46164 RECQL -0.50 0.01 0.46 7.18E-07<br />

SLC35A2 3.17 2.29 0.55 0.03687 SLC35A2 -1.18 -0.83 0.78 1.50E-07<br />

TAF9L 3.53 2.66 0.55 0.09789 TAF9L -0.83 0.01 0.56 2.45E-06<br />

MBTPS2 4.81 3.19 0.32 0.00040 MBTPS2 -0.89 0.01 0.54 1.93E-08<br />

Q-PCR Study Results—Brandi Rollins


<strong>Vawter</strong> et al., 2004<br />

Human XIST DLPFC<br />

ISH and PCR


Verbal Cognition Correlations<br />

Gene symbol CHSY1<br />

DKFZP564O2<br />

43 GTPBP6 PKMYT1 ADPGK RECQL TAF9L DNAJA2 AMD1 TCF8<br />

Klinefelter/control 1.84 1.77 1.65 1.31 1.27 0.46 0.56 0.64 0.66 0.79<br />

FC #<br />

Verbal IQ 0.14 0.38 -0.85 -0.64 -0.60 -0.52 0.02 -0.03 -0.26 0.04<br />

Receptive<br />

language<br />

Token test 0.52 0.46 -0.29 -0.04 -0.02 -0.70 -0.45 -0.33 -0.51 -0.30<br />

Peabody PVT 0.53 0.63 -0.76 -0.24 -0.28 -0.73 -0.44 -0.34 -0.55 -0.26<br />

Expressive<br />

language<br />

Boston naming<br />

test<br />

0.53 0.63 -0.56 -0.08 0.08 -0.80 -0.71 -0.62 -.32 -0.23<br />

COWA<br />

Animal 0.03 0.05 -0.50 -0.08 0.14 -0.39 -0.36 -0.53 -0.16 -.0.10<br />

Vegetable 0.63 0.45 -0.60 -0.16 -0.17 -0.48 -0.34 -0.11 -0.39 -0.12<br />

Fruit 0.74 0.45 -0.43 -0.23 -0.09 -0.63 -0.49 -0.18 -0.44 -0.07<br />

Similarities -0.19 0.25 -0.62 -0.64 -0.71 -0.22 0.36 0.17 -0.05 0.10<br />

Phonological 0.24 0.47 -0.53 -0.48 -0.51 -0.61 -0.07 -0.07 0.09 0.17<br />

LOGMEM1 0.07 0.63 -0.14 0.04 0.16 -0.63 -0.35 -0.42 -0.37 -0.63<br />

LOGMEM2 0.07 0.50 -0.12 0.22 0.43 -0.59 -0.47 -0.57 -0.53 -0.78<br />

Sentence<br />

Repetition<br />

0.68 0.48 -0.27 0.09 0.11 -0.79 -0.59 -0.40 -0.68 -0.54<br />

Trails A -0.20 -0.32 0.58 0.04 0.22 0.42 0.36 0.43 0.26 0.09<br />

Trails B<br />

Academic skills<br />

-0.11 0.04 0.27 -0.12 -0.38 0.44 0.52 0.45 0.64 0.47<br />

WRAT 0.51 0.08 -0.60 -0.13 -0.19 -0.57 -0.36 -0.32 -0.23 0.02


GTPBP6 Expression<br />

In Lymphoblast (cytes)


Trans-Regulatory Loci Implicated<br />

with Gene Expression Stress<br />

Response in Lymphoblastic Cell<br />

Lines (LCLs)


Subjects<br />

Diagnosis Pair Relationship<br />

Schizophrenia 1 Siblings<br />

Control 1 Siblings<br />

Schizophrenia 2 Siblings (all four)<br />

Control 2 Siblings (all four)<br />

Schizophrenia 3 Siblings (all four)<br />

Control 3 Siblings (all four)<br />

Schizophrenia 4 Uncle<br />

Control 4 Nephew<br />

Schizophrenia 5 Cousins<br />

Control 5 Cousins


Diagnosis and Glucose Effects<br />

• Diagnosis 0<br />

• Glucose 1<br />

• Diagnosis * Exon 72<br />

• Glucose * Exon 227<br />

• Glucose * Diagnosis 1<br />


E-QTL Trans Hotspots No Overlap<br />

With Glucose Deprivation<br />

Marker # of Transcripts<br />

Normal D11S928 14<br />

Glucose D15S158 10<br />

D15S816 10<br />

D15S1004 10<br />

D9S1004 10<br />

D1S2667 9<br />

D3S1266 9<br />

D3S3547 9<br />

D12S2081 9<br />

Glucose D3S1607 10<br />

Deprivation


Top 10 Exon * Diagnosis Interaction Effects<br />

Affymetrix ID p-value RefSeq Symbol


DSC2 Expression Exon * Diagnosis


DPM2 Exon Expression in 10<br />

Lymphocyte Samples<br />

DPM2 Exon Expression<br />

100 Fold Range Between Subjects<br />

DPM2 (dolichyl-phosphate mannosyltransferase polypeptide 2, regulatory<br />

subunit, # NM_003863.2)


Relative Expression<br />

3.0<br />

2.5<br />

2.0<br />

1.5<br />

1.0<br />

0.5<br />

0.0<br />

Evidence for Allelic Specific<br />

Hybridization of DPM2<br />

Affy probe<br />

7997- C<br />

7997 - G<br />

Exon 4<br />

GG GG GG CG CG CC CC CC CC CC<br />

Genotype


Summary Of LCL Schizophrenia <strong>Functional</strong><br />

<strong>Genomics</strong> Results<br />

• Exon arrays were useful in a case – control design for<br />

detection of expression differences in lymphoblastic cell<br />

lines:<br />

Detected exon expression differences in schizophrenia<br />

for DSC2 that were validated by QPCR.<br />

Expression changes were not related to hybridization<br />

artifacts showing the reliability and accuracy of exon<br />

arrays.<br />

• Detected SNP genotypes on exon array.<br />

• Detected allelic specific expression on exon array in<br />

DPM2.<br />

• Putative state-dependent eQTLs identified.


Summary<br />

• Circulating levels of endogenous cell types and levels of EBV<br />

affect the transcript profile.<br />

• Other potential viral infections may be present in<br />

PBMCs/Whole Blood.<br />

• Appropriate controls for infections are needed to rule out<br />

these causative factors.<br />

• Other variables show large effects on profiles, e.g. circadian<br />

and gender.


Conclusions<br />

• Whole Blood and PBMCs And LCLs Present Biomarker<br />

Opportunities in Psychiatric Disorders (and others).<br />

• Large scale biomarker studies of normal controls are<br />

required.<br />

• Transcript profiling may distinguish healthy controls from<br />

psychiatric patients.<br />

• A subset of circulating mRNA transcripts may reflect<br />

brain expression, although animal experiments are needed<br />

to determine false positives.<br />

• The expression levels of mRNA transcripts may be<br />

related to brain functions.<br />

• Further lymphocyte and brain work are needed.


Collaborative Studies For<br />

Lymphocyte Biomarkers –<br />

<strong>Functional</strong> <strong>Genomics</strong> <strong>Lab</strong>oratory<br />

Circadian rhythm – controls<br />

Sleep deprivation – controls and bipolar disorder<br />

Brain Imaging – controls and schizophrenia<br />

Neuropsychological performance – controls<br />

Genetics and functional genomics – bipolar disorder<br />

Animal studies – blood and brain comparisons<br />

Samples and / or data and collection completed.<br />

Proposal awaiting regulatory approval or funding.


Acknolwedgements - XXY Study<br />

Brandi Rollins, University of California, Department of<br />

Psychiatry and Behavior for performing real-time PCR<br />

experiments.<br />

The Klinefelters project was funded by discretionary<br />

funds allotted to Dr. DeLisi within the Mental Illness<br />

Prevention Center of the Department of Psychiatry, New<br />

York University School of Medicine.<br />

Dr. Marquis P. <strong>Vawter</strong> research was supported by NIMH<br />

RMH074307A award for Biomarkers in Neuropsychiatric<br />

Disorders, and the William Lion Penzner Foundation.


Acknolwedgements – Other Studies<br />

Jacque Berndt and the investigators and medical<br />

examiners at the Orange County Coroner’s Office .<br />

Dr. Preston Cartagena, Kathleen Burke and Claudia in<br />

processing blood and brain samples.<br />

F. Warren Lovell, M.D, performed a neuropathological<br />

evaluation of the postmortem brains.<br />

The procurement of brain samples supported by the<br />

NIMH Conte Center Grant P50 MH60398 and the Pritzker<br />

Family Philanthropic Fund.<br />

Biomarker investigation was supported by Public Health<br />

Service research grant M01 RR00827 from the National<br />

Center for Research Resource, Biomarker research grant<br />

MH 024370 from the National Institute of Mental Health,<br />

and the William Lion Penzner Foundation.


Future Studies Based Upon<br />

Klinefelter’s Results<br />

Dan Rujescu, M.D. is currently testing for a genotype<br />

association of GTPBP6 with Verbal Cognition in Normal<br />

Controls at the Munich Genetics Research Centre.<br />

GTPBP6 is proximal in the PAR to genes associated with<br />

psychosis, and near a translocation site associated with<br />

psychosis.<br />

Lynn DeLisi, M.D. is currently seeking additional funding for<br />

further study of XXY individuals, XX and XY controls, in whole<br />

blood or PBMCs.

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