Elisa Porcellini

Dr. Elisa Porcellini

Non-coding RNA & cancer biomarkers lab, Dip. Medicina Specialistica, Diagnostica e Sperimentale-DIMES, via S. Giacomo 14, 40126 Bologna, Italy

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 September 2009 in Nature Genetics
Verified
Journal Article
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TIthe European Alzheimer's Disease Initiative Investigators
the European Alzheimer's Disease Initiative Investigators
JLJean-Charles Lambert
Jean-Charles Lambert
SHSimon Heath
Simon Heath
GEGael Even
Gael Even
DCDominique Campion
Dominique Campion
PAPhilippe Amouyel
Philippe Amouyel

3 April 2011 in Nature Genetics
Verified
Journal Article
Open access
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PHPaul Hollingworth
Paul Hollingworth
DHDenise Harold
Denise Harold
RSRebecca Sims
Rebecca Sims
AGAmy Gerrish
Amy Gerrish
JLJean-Charles Lambert
Jean-Charles Lambert
JWJulie Williams
Julie Williams
Julie Williams, Michael Owen and colleagues report staged follow-up and meta-analyses of genome-wide association studies for Alzheimer's disease from the GERAD+ consortium. They identify common variants at ABCA7 and MS4A6A/MS4A4E associated with Alzheimer's disease and support for several additional susceptibility loci. We sought to identify new susceptibility loci for Alzheimer's disease through a staged association study (GERAD+) and by testing suggestive loci reported by the Alzheimer's Disease Genetic Consortium (ADGC) in a companion paper. We undertook a combined analysis of four genome-wide association datasets (stage 1) and identified ten newly associated variants with P ≤ 1 × 10−5. We tested these variants for association in an independent sample (stage 2). Three SNPs at two loci replicated and showed evidence for association in a further sample (stage 3). Meta-analyses of all data provided compelling evidence that ABCA7 (rs3764650, meta P = 4.5 × 10−17; including ADGC data, meta P = 5.0 × 10−21) and the MS4A gene cluster (rs610932, meta P = 1.8 × 10−14; including ADGC data, meta P = 1.2 × 10−16) are new Alzheimer's disease susceptibility loci. We also found independent evidence for association for three loci reported by the ADGC, which, when combined, showed genome-wide significance: CD2AP (GERAD+, P = 8.0 × 10−4; including ADGC data, meta P = 8.6 × 10−9), CD33 (GERAD+, P = 2.2 × 10−4; including ADGC data, meta P = 1.6 × 10−9) and EPHA1 (GERAD+, P = 3.4 × 10−4; including ADGC data, meta P = 6.0 × 10−10).

10 May 2011 in Molecular Psychiatry
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Journal Article
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Emmanuelle GENINEmmanuelle GENIN
Emmanuelle GENIN
DHD Hannequin
D Hannequin
DWD Wallon
D Wallon
KSK Sleegers
K Sleegers
MHM Hiltunen
M Hiltunen
DCD Campion
D Campion
Apolipoprotein E (APOE) dependent lifetime risks (LTRs) for Alzheimer Disease (AD) are currently not accurately known and odds ratios alone are insufficient to assess these risks. We calculated AD LTR in 7351 cases and 10 132 controls from Caucasian ancestry using Rochester (USA) incidence data. At the age of 85 the LTR of AD without reference to APOE genotype was 11% in males and 14% in females. At the same age, this risk ranged from 51% for APOE44 male carriers to 60% for APOE44 female carriers, and from 23% for APOE34 male carriers to 30% for APOE34 female carriers, consistent with semi-dominant inheritance of a moderately penetrant gene. Using PAQUID (France) incidence data, estimates were globally similar except that at age 85 the LTRs reached 68 and 35% for APOE 44 and APOE 34 female carriers, respectively. These risks are more similar to those of major genes in Mendelian diseases, such as BRCA1 in breast cancer, than those of low-risk common alleles identified by recent GWAS in complex diseases. In addition, stratification of our data by age groups clearly demonstrates that APOE4 is a risk factor not only for late-onset but for early-onset AD as well. Together, these results urge a reappraisal of the impact of APOE in Alzheimer disease.

18 May 2005 in Immunity & Ageing
Verified
Journal Article
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FLFederico Licastro
Federico Licastro
Giuseppina CandoreGiuseppina Candore
Giuseppina Candore
DLDomenico Lio
Domenico Lio
Elisa PorcelliniElisa Porcellini
Elisa Porcellini
GCGiuseppina Colonna-Romano
Giuseppina Colonna-Romano
Calogero CarusoCalogero Caruso
Calogero Caruso
The process of maintaining life for the individual is a constant struggle to preserve his/her integrity. This can come at a price when immunity is involved, namely systemic inflammation. Inflammation is not per se a negative phenomenon: it is the response of the immune system to the invasion of viruses or bacteria and other pathogens. During evolution the human organism was set to live 40 or 50 years; today, however, the immune system must remain active for much a longer time. This very long activity leads to a chronic inflammation that slowly but inexorably damages one or several organs: this is a typical phenomenon linked to ageing and it is considered the major risk factor for age-related chronic diseases. Alzheimer's disease, atherosclerosis, diabetes and even sarcopenia and cancer, just to mention a few – have an important inflammatory component, though disease progression seems also dependent on the genetic background of individuals. Emerging evidence suggests that pro-inflammatory genotypes are related to unsuccessful ageing, and, reciprocally, controlling inflammatory status may allow a better chance of successful ageing. In other words, age-related diseases are "the price we pay" for a life-long active immune system: this system has also the potential to harm us later, as its fine tuning becomes compromised. Our immune system has evolved to control pathogens, so pro-inflammatory responses are likely to be evolutionarily programmed to resist fatal infections with pathogens aggressively. Thus, inflammatory genotypes are an important and necessary part of the normal host responses to pathogens in early life, but the overproduction of inflammatory molecules might also cause immune-related inflammatory diseases and eventually death later. Therefore, low responder genotypes involved in regulation of innate defence mechanisms, might better control inflammatory responses and age-related disease development, resulting in an increased chance of long life survival in a "permissive" environment with reduced pathogen load, medical care and increased quality of life.

1 January 2014 in Neurobiology of Aging
Verified
Journal Article
Closed access
ICIlaria Carbone
Ilaria Carbone
TLTiziana Lazzarotto
Tiziana Lazzarotto
MIManuela Ianni
Manuela Ianni
Elisa PorcelliniElisa Porcellini
Elisa Porcellini
PFPaola Forti
Paola Forti
FLFederico Licastro
Federico Licastro

1 April 2011 in Neurobiology of Aging
Verified
Journal Article
Open access
JLJean-Charles Lambert
Jean-Charles Lambert
DZDiana Zelenika
Diana Zelenika
MHMikko Hiltunen
Mikko Hiltunen
VCVincent Chouraki
Vincent Chouraki
OCOnofre Combarros
Onofre Combarros
PAPhilippe Amouyel
Philippe Amouyel
Recent genome-wide association studies have identified 5 loci (BIN1, CLU, CR1, EXOC3L2, and PICALM) as genetic determinants of Alzheimer's disease (AD). We attempted to confirm the association between these genes and the AD risk in 3 contrasting European populations (from Finland, Italy, and Spain). Because CLU and CR1 had already been analyzed in these populations, we restricted our investigation to BIN1, EXO2CL3, and PICALM. In a total of 2816 AD cases and 2706 controls, we unambiguously replicated the association of rs744373 (for BIN1) and rs541458 (for PICALM) polymorphisms with the AD risk (odds ratio [OR] = 1.26, 95% confidence interval [CI] [1.15-1.38], p = 2.9 × 10(-7), and OR = 0.80, 95% CI [0.74-0.88], p = 4.6 × 10(-7), respectively). In a meta-analysis, rs597668 (EXOC3L2) was also associated with the AD risk, albeit to a lesser extent (OR = 1.19, 95% CI [1.06-1.32], p = 2.0 × 10(-3)). However, this signal did not appear to be independent of APOE. In conclusion, we confirmed that BIN1 and PICALM are genetic determinants of AD, whereas the potential involvement of EXOC3L2 requires further investigation.