Skip to main content
Erschienen in: Behavioral and Brain Functions 1/2013

Open Access 01.12.2013 | Short paper

Investigation of rare variants in LRP1, KPNA1, ALS2CL and ZNF480 genes in schizophrenia patients reflects genetic heterogeneity of the disease

verfasst von: Loubna Jouan, Simon L Girard, Sylvia Dobrzeniecka, Amirthagowri Ambalavanan, Marie-Odile Krebs, Ridha Joober, Julie Gauthier, Patrick A Dion, Guy A Rouleau

Erschienen in: Behavioral and Brain Functions | Ausgabe 1/2013

download
DOWNLOAD
print
DRUCKEN
insite
SUCHEN

Abstract

Background

Schizophrenia is a severe psychiatric disease characterized by a high heritability and a complex genetic architecture. Recent reports based on exome sequencing analyses have highlighted a significant increase of potentially deleterious de novo mutations in different genes in individuals with schizophrenia.

Findings

This report presents the mutation screening results of four candidate genes for which such de novo mutations were previously reported (LRP1, KPNA1, ALS2CL and ZNF480). We have not identified any excess of rare variants in the additional SCZ cases we have screened.

Conclusions

This supports the notion that de novo mutations in these four genes are extremely rare in schizophrenia and further highlights the high degree of genetic heterogeneity of this disease.
Hinweise

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

LJ, SLG, PAD and GAR designed the study. LJ, SD, AA performed the experiments. MOK and RJ recruited cases and collected clinical information. LJ, JG, PAD and GAR wrote the paper. All authors have approved the final manuscript.
Schizophrenia (SCZ) is a neurodevelopmental psychiatric disorder that is characterized by severely impaired cognitive processes causing hallucinations, delusions and altered emotional reactivity that disturb social behavior. This disorder is highly prevalent and according to the National Institute of Mental Health affects 1.1% of the U.S. adult population. The genetic factors predisposing to SCZ have not been fully elucidated but twin, adoptee and family studies jointly suggest that genetics is important with a heritability estimated to be up to 80% [1, 2]. Multiple approaches have been used to identify common and rare SCZ-predisposing variants using candidate gene and whole genome-scale studies [3, 4]. However neither large-scale sequencing projects, looking for rare penetrant variants, nor genome wide association studies, looking for common variants, have accounted for a significant fraction of the heritability of SCZ. In light of this limited success, it was hypothesized that deleterious de novo mutations in any of several different genes could explain the high global incidence of SCZ despite a reduced reproductive fitness. Our group first reported the presence of a significant excess of potentially deleterious de novo mutations in 401 synaptic genes using Sanger sequencing in a cohort of SCZ and autism patients [5]. We have later confirmed an excess of exonic de novo mutations and more particularly of nonsense variants in 15 SCZ trios (probands and parents) using exome sequencing. Interestingly, 4:11 ratio of nonsense to missense mutations is significantly higher than the expected 1:20 ratio (P = 0.005467), and according to the Human Gene Mutation Database, the expected ratio of nonsense to missense among all mutations reported to cause Mendelian diseases is 1:4 which in line with what we found (P > 0.05, not significant). This identified four candidate genes (LRP1, KPNA1, ALS2CL and ZNF480) possibly involved in SCZ [6]. The present report describes the mutation screening of these four genes in additional 475 SCZ cases and 189 controls.
Probands were individually interviewed and their diagnosis was based on the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. Exclusion criteria included patients with psychotic symptoms caused by alcohol, drug abuse or other clinical diagnosis. All samples were collected through informed consent following the approval of their respective institutional ethics review committees. An initial cohort of 189 SCZ patients of European Caucasian ancestry was used in this study. An additional cohort of 285 SCZ subjects, also of European Caucasian ancestry, was used for the screening of ALS2CL and ZNF480 genes. All coding regions and splice site junctions of LRP1, KPNA1, ALS2CL and ZNF480 genes were amplified and then sequenced using Sanger sequencing technology. Variant detection analysis was done using Mutation Surveyor (v. 3.23, Softgenetics) and rare exonic variants were confirmed by re-amplification of the relevant fragment in both probands and parents (when available) using forward and reverse oligos.
The first gene, LRP1 (NM002332, 89 exons) encodes for Homo Sapiens low density lipoprotein receptor-related protein 1 and is located at 12q13-14. We identified four rare LRP1 variants (S278I, R379H, M1795I and G3948D) absent from public databases (dbSNP [7], 1000 genome project [8] and Exome Variant Server (EVS) [9]) and two additional variants (G169D and A2160T) only reported in EVS at a very low frequency (Table 1). Interestingly, the missense G169D is predicted to affect protein function by SIFT (0.01) and Polyphen (2.337) predicting softwares [10, 11]. Unfortunately the parents’ DNAs were not available for an inheritance study. We also identified eight other LRP1 variants that were previously deposited in EVS database and their minor-allele frequencies ranged from 1 to 159 / 10 755 to 10 599 total alleles. Two of these, G3725E and R1993W, are predicted to affect protein function despite minor-allele frequencies of 12/ 10 746 and 25/ 10 733, respectively. However, the fact that G3725E is transmitted by an unaffected mother, suggests it is unlikely to play a major role in SCZ. Unlike the original published findings, we did not find any highly damaging variant (ie. nonsense or insertion/deletion) in LRP1 gene. The KPNA1 gene screening (NM002264; 14 exons), which encodes for karyopherin alpha 1 protein and is located at 3q21, did not lead to the identification of rare variants in our SCZ cohort. The sequencing of ALS2CL (NM147129; 26 exons), encoding for ALS2 C-terminal like protein and located at 3p21.31, revealed one nonsense mutation (E65X) in one SCZ patient. Because of this ALS2CL variant, we opted to screen the full gene in 286 additional SCZ patients and 189 control individuals. We observed a minor-allele frequency of 4/475 SCZ patients and of 1/189 controls for E65X. This variant has been lately added to dbSNP (rs139496961) and EVS databases with a minor allele-frequency of 20/10 738. The presence of E65X in a control individual from our ethnically-matched control cohort makes ALS2CL gene less likely to predispose to SCZ. We also observed three additional rare ALS2CL variants in our 189 initial cases (T268S, T460M and P580S) but their pathogenicity is unlikely since none of the prediction software predicted them to be deleterious. Finally, the screening of ZNF480 (NM144684; 4 coding exons) a zinc finger protein which is located at 19q13.41, led to the identification of two nonsense variants in one SCZ patient and one control individual (R276X and R500X, respectively). During our gene screening process, five nonsense variations (R304X, R360X, R416X, K434X and Q528X) were deposited in the EVS database by other groups with frequencies ranging from 1/10 755 to 2/10 756. Although we cannot rule out that schizophrenic or borderline personalities can be found in public databases such as EVS, the fact that five additional nonsense variations were found in the C-terminal region of this gene is not in favor of a deleterious effect of a de novo nonsense mutation in this region. For this reason we did not further investigate this gene in additional SCZ cases and control individuals and concluded that ZNF480 was a poor candidate for SCZ.
Table 1
Mutations identified in LRP1, ALS2CL, ZNF480 and KPNA1 and occurrence in SCZ and CTR cohorts
Mutation details
Prediction scores
Occurrence
Gene
Genomic Positiona
Nucleotide variantb
AA Change
Typed
dbSNPe
ESVf
1000 genomesg
Inheritanceh
Pantheri
Siftj
PolyPhenk
SCZ l cohort
CTR cohort
LRP1
chr12:57,579,450
 
Y2200X c
NS
   
de novo
     
LRP1
chr12:57,538,812
c.506G > A
G169D
MS
-
A = 2 / G = 10756
-
N/A
-
0.01
2.337
1/189
-
LRP1
chr12:57,539,265
c.833G > T
S278I
MS
-
-
-
T (mother)
−2.47064
0.08
1.73
1/189
-
LRP1
chr12:57,548,392
c.1135G > A
R379H
MS
-
-
-
N/A
−2.23136
0.07
1.571
1/189
-
LRP1
chr12:57,574,263
c.5386 + 1G > A
M1795I
MS
-
-
-
T (mother)
-
0.06
1.968
1/189
-
LRP1
chr12:57,577,915
c.5977C > T
R1993W
MS
rs141826184
T = 25 / C = 10733
T = 1 / C = 1093
N/A
-
0.05
0.037
2/189
-
LRP1
chr12:57,578,673
c.6238G > A
D2080N
MS
rs34577247
A = 159 / G = 10599
A = 26 / G = 2162
N/A
-
0.45
0.375
>5
-
LRP1
chr12:57,579,328
c.6478G > A
A2160T
MS
-
A = 1 / G = 10495
-
N/A
-
0.60
1.147
1/189
-
LRP1
chr12:57,587,040
c.7637G > A
G2546S
MS
rs113379328
A = 24 / G = 10734
-
N/A
-
0.13
0.836
>5
-
LRP1
chr12:57,587,717
c.7840G > A
R2613Q
MS
rs150340911
A = 12 / G = 10746
-
N/A
-
0.36
0.898
2/189
-
LRP1
chr12:57,588,275
c.8057G > A
R2686H
MS
rs148104493
A = 1 / G = 10755
-
N/A
-
0.12
0.999
1/189
-
LRP1
chr12:57,589,784
c.8699A > C
Q2900P
MS
rs7397167
A = 123 / C = 10635
A = 14 / C = 2174
N/A
-
0.53
-
>5
-
LRP1
chr12:57,590,916
c.9044G > A
G3015S
MS
rs145303173
A = 6 / G = 10752
-
N/A
-
0.76
0.357
2/189
-
LRP1
chr12:57,598,513
c.11175G > A
G3725E
MS
rs151301245
A = 12 / G = 10746
-
T (mother)
-
0.03
1.583
1/189
-
LRP1
chr12:57,600,508
c.11843G > A
G3948D
MS
-
-
-
N/A
-
0.50
1.357
1/189
-
ALS2CL
chr3:46,717,166
 
R733X c
NS
   
de novo
     
ALS2CL
chr3:46,717,175
c.2188C > T
G730S
MS
rs142971127
T = 80 / C = 10678
T = 12 / C = 2176
N/A
-
0.40
1.483
7/475
1/189
ALS2CL
chr3:46,718,458
c.1812G > T
P605T
MS
-
-
-
N/A
−1.70789
0.42
1.761
0/475
1/189
ALS2CL
chr3:46,718,477
c.1793C > T
R598H
MS
-
-
-
N/A
−2.73328
0.01
1.686
0/475
1/189
ALS2CL
chr3:46,719,769
c.1737G > A
P580S
MS
-
-
-
T (mother)
-
0.62
1.615
1/475
0/189
ALS2CL
chr3:46,719,861
c.1645T > C
N549S
MS
rs140347863
C = 9 / T = 10749
-
T (father). N/A. T (mother). N/A
-
0.35
1.851
3/475
1/189
ALS2CL
chr3:46,722,792
c.1380G > A
T460M
MS
-
A = 1 / G = 10757
-
T (father)
−2.00878
0.11
0.374
1/475
0/189
ALS2CL
chr3:46,725,290
c.894G > A
A298V
MS
rs141781567
A = 15 / G = 10757
-
N/A
−1.6125
0.14
1.366
2/475
0/189
ALS2CL
chr3:46,725,522
c.802T > A
T268S
MS
-
-
-
T (mother)
−1.48254
0.33
1.406
1/475
0/189
ALS2CL
chr3:46,728,477
c.530A > G
I176T
MS
rs145807890
G = 8 / A = 10746
-
N/A
−1.28647
0.39
1.351
0/475
1/189
ALS2CL
chr3:46,729,700
c.190C > A
E65X
NS
rs139496961
A = 20 / C = 10738
-
N/A. T (father). N/A. N/A
-
-
-
4/475
1/189
ALS2CL
chr3:46,729,756
c.134C > G
E45Q
MS
rs7642448
G = 4590 / C = 6166
-
N/A
-
0.28
1.042
>5
>5
ZNF480
chr19:52,826,001
 
R500X c
NS
   
de novo
     
ZNF480
chr19:52,825,329
c.826C > T
R276X
NS
-
-
-
N/A
-
-
-
1/475
0/189
ZNF480
chr19:52,825,495
c.992C > A
A331E
MS
-
-
-
N/A
-
0.95
0.838
0/475
1/189
ZNF480
chr19:52,826,001
c.1498C > T
R500X
NS
-
-
-
N/A
-
-
-
0/475
1/189
KPNA1
chr3:122,146,472
 
E448X c
NS
   
de novo
     
KPNA1
chr3:122,186,188
c.218C > T
S73N
MS
rs4678193
T = 79 / C = 10677
T = 11 / C = 2177
N/A
−2.16746
0.45
0.174
>5
-
a according to build Hg19; b variant position according to Mutalyzer 2.0.beta-20 [12] and to Genbank accession number NM_002332.2 for LRP1, NM_147129.3 for ALS2CL, NM_144684.2 for ZNF480 and NM_002264.3 for KPNA1; c MS: missense and NS: nonsense; d nonsense mutations previously identified by exome sequencing [6]; e rs number as obtained in dbSNP database [7]; f observed allele counts according to Exome Variant Server in all populations [9]; g observed allele counts according to 1000 genomes in all populations [8]; h inheritance study when parents available; i according to Panther, sub-PSEC score is the probability that a given coding variant will cause a deleterious functional change when less than −3 [13]; j according to Sift scores (from 0 to 1), the amino acid substitution is predicted to be damaging if the score is < = 0.05 and tolerated if the score is > 0.05 [11]; k according to polyphen, if PSIC score difference is > 1.5, the variation is predicted to be possibly or probably damaging [10, 11]. l > 5 indicates that the variant has been identified in more than 5 individuals.
While the results of this mutation screening effort did not lead to the identification of additional potentially deleterious de novo mutations in LRP1, KPNA1, ALS2CL and ZNF480 in a larger cohort of SCZ patients, it was a necessary first step to assess their possible contribution to disease. One limitation of this study is that we have focused only on the coding regions. This does not exclude the involvement of disease predisposing variants in non-coding regions, which could affect allelic expression or splicing. Given the known heterogeneity of SCZ and the frequencies of variants reported thus far, the contribution of these particular genes may only emerge after the progressive sequencing of coding and non-coding regions of these genes in much larger cohorts of SCZ cases and control individuals. It’s likely that an additional mechanism (like the polygenic mode) is involved in the genetics of sporadic SCZ. However, we still believe that deleterious de novo mutations play an important role in a proportion of SCZ patients as demonstrated by our group and others [1416]. It is well known that SCZ is genetically heterogeneous and hundreds and probably thousands of genes are involved. Therefore, to date, very few cases with de novo mutation have been reported to be associated with the same genes. Addressing the complete genetic picture of a polygenic disease such as SCZ is still a major challenge and will require further independent replication studies to clarify the role of these genes.

Websites references

Acknowledgements

We thank the families involved in our study. We thank Anne Noreau and Hussein Daoud for scientific advices. We are thankful for the efforts of the members of the Genome Quebec Innovation Centre Sequencing and Bioinformatics groups. Guy A. Rouleau is grateful for the support received through his positions as Canada Research Chair in Genetics of the Nervous System and Jeanne-et-J.-Louis-Levesque Chair for the Genetics of Brain Diseases. We would also like to thank the NHLBI GO Exome Sequencing Project and its ongoing studies which produced and provided exome variant calls for comparison: the Lung GO Sequencing Project (HL-102923), the WHI Sequencing Project (HL-102924), the Broad GO Sequencing Project (HL-102925), the Seattle GO Sequencing Project (HL-102926) and the Heart GO Sequencing Project (HL-103010).
Funding body agreements and policies
This work was supported by a grant from Genome Canada and Génome Québec and was cofunded by Université de Montréal as well as by Era-Net Neuron.
Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://​creativecommons.​org/​licenses/​by/​2.​0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

LJ, SLG, PAD and GAR designed the study. LJ, SD, AA performed the experiments. MOK and RJ recruited cases and collected clinical information. LJ, JG, PAD and GAR wrote the paper. All authors have approved the final manuscript.
Literatur
2.
Zurück zum Zitat Sullivan PF, Kendler KS, Neale MC: Schizophrenia as a complex trait: evidence from a meta-analysis of twin studies. Arch Gen Psychiatry. 2003, 60: 1187-1192. 10.1001/archpsyc.60.12.1187.CrossRefPubMed Sullivan PF, Kendler KS, Neale MC: Schizophrenia as a complex trait: evidence from a meta-analysis of twin studies. Arch Gen Psychiatry. 2003, 60: 1187-1192. 10.1001/archpsyc.60.12.1187.CrossRefPubMed
3.
Zurück zum Zitat Gejman PV, Sanders AR, Kendler KS: Genetics of schizophrenia: new findings and challenges. Annu Rev Genomics Hum Genet. 2011, 12: 121-144. 10.1146/annurev-genom-082410-101459.CrossRefPubMed Gejman PV, Sanders AR, Kendler KS: Genetics of schizophrenia: new findings and challenges. Annu Rev Genomics Hum Genet. 2011, 12: 121-144. 10.1146/annurev-genom-082410-101459.CrossRefPubMed
4.
Zurück zum Zitat Girard SL, Xiong L, Dion PA, Rouleau GA: Where are the missing pieces of the schizophrenia genetics puzzle?. Curr Opin Genet Dev. 2011, 21: 310-316. 10.1016/j.gde.2011.01.001.CrossRefPubMed Girard SL, Xiong L, Dion PA, Rouleau GA: Where are the missing pieces of the schizophrenia genetics puzzle?. Curr Opin Genet Dev. 2011, 21: 310-316. 10.1016/j.gde.2011.01.001.CrossRefPubMed
5.
Zurück zum Zitat Awadalla P, Gauthier J, Myers RA, Casals F, Hamdan FF, Griffing AR, Cote M, Henrion E, Spiegelman D, Tarabeux J: Direct measure of the de novo mutation rate in autism and schizophrenia cohorts. Am J Hum Genet. 2010, 87: 316-324. 10.1016/j.ajhg.2010.07.019.PubMedCentralCrossRefPubMed Awadalla P, Gauthier J, Myers RA, Casals F, Hamdan FF, Griffing AR, Cote M, Henrion E, Spiegelman D, Tarabeux J: Direct measure of the de novo mutation rate in autism and schizophrenia cohorts. Am J Hum Genet. 2010, 87: 316-324. 10.1016/j.ajhg.2010.07.019.PubMedCentralCrossRefPubMed
6.
Zurück zum Zitat Girard SL, Gauthier J, Noreau A, Xiong L, Zhou S, Jouan L, Dionne-Laporte A, Spiegelman D, Henrion E, Diallo O: Increased exonic de novo mutation rate in individuals with schizophrenia. Nat Genet. 2011, 43: 860-863. 10.1038/ng.886.CrossRefPubMed Girard SL, Gauthier J, Noreau A, Xiong L, Zhou S, Jouan L, Dionne-Laporte A, Spiegelman D, Henrion E, Diallo O: Increased exonic de novo mutation rate in individuals with schizophrenia. Nat Genet. 2011, 43: 860-863. 10.1038/ng.886.CrossRefPubMed
8.
Zurück zum Zitat Genomes Project C: A map of human genome variation from population-scale sequencing. Nature. 2010, 467: 1061-1073. 10.1038/nature09534.CrossRef Genomes Project C: A map of human genome variation from population-scale sequencing. Nature. 2010, 467: 1061-1073. 10.1038/nature09534.CrossRef
10.
Zurück zum Zitat Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P, Kondrashov AS, Sunyaev SR: A method and server for predicting damaging missense mutations. Nat Methods. 2010, 7: 248-249. 10.1038/nmeth0410-248.PubMedCentralCrossRefPubMed Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P, Kondrashov AS, Sunyaev SR: A method and server for predicting damaging missense mutations. Nat Methods. 2010, 7: 248-249. 10.1038/nmeth0410-248.PubMedCentralCrossRefPubMed
11.
Zurück zum Zitat Flanagan SE, Patch AM, Ellard S: Using SIFT and PolyPhen to predict loss-of-function and gain-of-function mutations. Genet Test Mol Biomarkers. 2010, 14: 533-537. 10.1089/gtmb.2010.0036.CrossRefPubMed Flanagan SE, Patch AM, Ellard S: Using SIFT and PolyPhen to predict loss-of-function and gain-of-function mutations. Genet Test Mol Biomarkers. 2010, 14: 533-537. 10.1089/gtmb.2010.0036.CrossRefPubMed
12.
Zurück zum Zitat Wildeman M, van Ophuizen E, den Dunnen JT, Taschner PE: Improving sequence variant descriptions in mutation databases and literature using the Mutalyzer sequence variation nomenclature checker. Hum Mutat. 2008, 29: 6-13. 10.1002/humu.20654.CrossRefPubMed Wildeman M, van Ophuizen E, den Dunnen JT, Taschner PE: Improving sequence variant descriptions in mutation databases and literature using the Mutalyzer sequence variation nomenclature checker. Hum Mutat. 2008, 29: 6-13. 10.1002/humu.20654.CrossRefPubMed
13.
Zurück zum Zitat Thomas PD, Kejariwal A, Campbell MJ, Mi H, Diemer K, Guo N, Ladunga I, Ulitsky-Lazareva B, Muruganujan A, Rabkin S: PANTHER: a browsable database of gene products organized by biological function, using curated protein family and subfamily classification. Nucleic Acids Res. 2003, 31: 334-341. 10.1093/nar/gkg115.PubMedCentralCrossRefPubMed Thomas PD, Kejariwal A, Campbell MJ, Mi H, Diemer K, Guo N, Ladunga I, Ulitsky-Lazareva B, Muruganujan A, Rabkin S: PANTHER: a browsable database of gene products organized by biological function, using curated protein family and subfamily classification. Nucleic Acids Res. 2003, 31: 334-341. 10.1093/nar/gkg115.PubMedCentralCrossRefPubMed
14.
Zurück zum Zitat Xu B, Ionita-Laza I, Roos JL, Boone B, Woodrick S, Sun Y, Levy S, Gogos JA, Karayiorgou M: De novo gene mutations highlight patterns of genetic and neural complexity in schizophrenia. Nat Genet. 2012, 44: 1365-1369. 10.1038/ng.2446.PubMedCentralCrossRefPubMed Xu B, Ionita-Laza I, Roos JL, Boone B, Woodrick S, Sun Y, Levy S, Gogos JA, Karayiorgou M: De novo gene mutations highlight patterns of genetic and neural complexity in schizophrenia. Nat Genet. 2012, 44: 1365-1369. 10.1038/ng.2446.PubMedCentralCrossRefPubMed
15.
Zurück zum Zitat Xu B, Roos JL, Dexheimer P, Boone B, Plummer B, Levy S, Gogos JA, Karayiorgou M: Exome sequencing supports a de novo mutational pdigm for schizophrenia. Nat Genet. 2011, 43: 864-868. 10.1038/ng.902.PubMedCentralCrossRefPubMed Xu B, Roos JL, Dexheimer P, Boone B, Plummer B, Levy S, Gogos JA, Karayiorgou M: Exome sequencing supports a de novo mutational pdigm for schizophrenia. Nat Genet. 2011, 43: 864-868. 10.1038/ng.902.PubMedCentralCrossRefPubMed
16.
Zurück zum Zitat Xu B, Roos JL, Levy S, van Rensburg EJ, Gogos JA, Karayiorgou M: Strong association of de novo copy number mutations with sporadic schizophrenia. Nat Genet. 2008, 40: 880-885. 10.1038/ng.162.CrossRefPubMed Xu B, Roos JL, Levy S, van Rensburg EJ, Gogos JA, Karayiorgou M: Strong association of de novo copy number mutations with sporadic schizophrenia. Nat Genet. 2008, 40: 880-885. 10.1038/ng.162.CrossRefPubMed
Metadaten
Titel
Investigation of rare variants in LRP1, KPNA1, ALS2CL and ZNF480 genes in schizophrenia patients reflects genetic heterogeneity of the disease
verfasst von
Loubna Jouan
Simon L Girard
Sylvia Dobrzeniecka
Amirthagowri Ambalavanan
Marie-Odile Krebs
Ridha Joober
Julie Gauthier
Patrick A Dion
Guy A Rouleau
Publikationsdatum
01.12.2013
Verlag
BioMed Central
Erschienen in
Behavioral and Brain Functions / Ausgabe 1/2013
Elektronische ISSN: 1744-9081
DOI
https://doi.org/10.1186/1744-9081-9-9

Weitere Artikel der Ausgabe 1/2013

Behavioral and Brain Functions 1/2013 Zur Ausgabe

Neu in den Fachgebieten Neurologie und Psychiatrie

„Übersichtlicher Wegweiser“: Lauterbachs umstrittener Klinik-Atlas ist online

17.05.2024 Klinik aktuell Nachrichten

Sie sei „ethisch geboten“, meint Gesundheitsminister Karl Lauterbach: mehr Transparenz über die Qualität von Klinikbehandlungen. Um sie abzubilden, lässt er gegen den Widerstand vieler Länder einen virtuellen Klinik-Atlas freischalten.

Hirnblutung unter DOAK und VKA ähnlich bedrohlich

17.05.2024 Direkte orale Antikoagulanzien Nachrichten

Kommt es zu einer nichttraumatischen Hirnblutung, spielt es keine große Rolle, ob die Betroffenen zuvor direkt wirksame orale Antikoagulanzien oder Marcumar bekommen haben: Die Prognose ist ähnlich schlecht.

Was nützt die Kraniektomie bei schwerer tiefer Hirnblutung?

17.05.2024 Hirnblutung Nachrichten

Eine Studie zum Nutzen der druckentlastenden Kraniektomie nach schwerer tiefer supratentorieller Hirnblutung deutet einen Nutzen der Operation an. Für überlebende Patienten ist das dennoch nur eine bedingt gute Nachricht.

ADHS-Medikation erhöht das kardiovaskuläre Risiko

16.05.2024 Herzinsuffizienz Nachrichten

Erwachsene, die Medikamente gegen das Aufmerksamkeitsdefizit-Hyperaktivitätssyndrom einnehmen, laufen offenbar erhöhte Gefahr, an Herzschwäche zu erkranken oder einen Schlaganfall zu erleiden. Es scheint eine Dosis-Wirkungs-Beziehung zu bestehen.