👤 Suzanne L Papp

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3
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3
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Also published as: Audrey C Papp, Kathryn V Papp,
articles
Annie Li, Hannah M Klinger, Mabel Seto +24 more · 2026 · Alzheimer's & dementia : the journal of the Alzheimer's Association · Wiley · added 2026-04-24
Women show higher levels of Alzheimer's disease (AD) pathology than men, but the implications for cognitive decline remain unclear. Determining the extent to which tau burden differentially accelerate Show more
Women show higher levels of Alzheimer's disease (AD) pathology than men, but the implications for cognitive decline remain unclear. Determining the extent to which tau burden differentially accelerates cognitive decline in men and women will provide critical insights into sex-specific pathways of disease progression. We leveraged tau positron emission tomography (PET), amyloid beta (Aβ) PET, apolipoprotein E (APOE) ε4 genotyping, and longitudinal cognitive data over approximately 8.6 (standard deviation [SD] = 3.8) years from 1007 cognitively unimpaired adults across three cohorts. Cognitive trajectories were modeled with linear mixed-effects regression including sex × tau × time interactions, and results were synthesized using random-effects meta-analysis. Higher tau burden in medial and lateral temporal regions was associated with faster cognitive decline in women than in men. High tau burden carries a disproportionately greater cognitive cost for women, underscoring the need for sex-specific approaches to early detection and therapeutic intervention in AD. A meta-analysis across three independent cohorts shows that female cognitive advantage at low tau shifts to vulnerability at higher tau. Sex differences in tau-related cognitive decline were consistent after accounting for amyloid burden. Sex-specific rates of cognitive decline should be considered in clinical trial design. Show less
📄 PDF DOI: 10.1002/alz.71031
APOE
Amy Webb, Audrey C Papp, Amanda Curtis +12 more · 2015 · BMC genomics · BioMed Central · added 2026-04-24
We used RNA sequencing to analyze transcript profiles of ten autopsy brain regions from ten subjects. RNA sequencing techniques were designed to detect both coding and non-coding RNA, splice isoform c Show more
We used RNA sequencing to analyze transcript profiles of ten autopsy brain regions from ten subjects. RNA sequencing techniques were designed to detect both coding and non-coding RNA, splice isoform composition, and allelic expression. Brain regions were selected from five subjects with a documented history of smoking and five non-smokers. Paired-end RNA sequencing was performed on SOLiD instruments to a depth of >40 million reads, using linearly amplified, ribosomally depleted RNA. Sequencing libraries were prepared with both poly-dT and random hexamer primers to detect all RNA classes, including long non-coding (lncRNA), intronic and intergenic transcripts, and transcripts lacking poly-A tails, providing additional data not previously available. The study was designed to generate a database of the complete transcriptomes in brain region for gene network analyses and discovery of regulatory variants. Of 20,318 protein coding and 18,080 lncRNA genes annotated from GENCODE and lncipedia, 12 thousand protein coding and 2 thousand lncRNA transcripts were detectable at a conservative threshold. Of the aligned reads, 52 % were exonic, 34 % intronic and 14 % intergenic. A majority of protein coding genes (65 %) was expressed in all regions, whereas ncRNAs displayed a more restricted distribution. Profiles of RNA isoforms varied across brain regions and subjects at multiple gene loci, with neurexin 3 (NRXN3) a prominent example. Allelic RNA ratios deviating from unity were identified in > 400 genes, detectable in both protein-coding and non-coding genes, indicating the presence of cis-acting regulatory variants. Mathematical modeling was used to identify RNAs stably expressed in all brain regions (serving as potential markers for normalizing expression levels), linked to basic cellular functions. An initial analysis of differential expression analysis between smokers and nonsmokers implicated a number of genes, several previously associated with nicotine exposure. RNA sequencing identifies distinct and consistent differences in gene expression between brain regions, with non-coding RNA displaying greater diversity between brain regions than mRNAs. Numerous RNAs exhibit robust allele selective expression, proving a means for discovery of cis-acting regulatory factors with potential clinical relevance. Show less
no PDF DOI: 10.1186/s12864-015-2207-8
NRXN3
Sylvain Julien, Aleksandar Ivetic, Anita Grigoriadis +11 more · 2011 · Cancer research · added 2026-04-24
The glycome acts as an essential interface between cells and the surrounding microenvironment. However, changes in glycosylation occur in nearly all breast cancers, which can alter this interaction. H Show more
The glycome acts as an essential interface between cells and the surrounding microenvironment. However, changes in glycosylation occur in nearly all breast cancers, which can alter this interaction. Here, we report that profiles of glycosylation vary between ER-positive and ER-negative breast cancers. We found that genes involved in the synthesis of sialyl-Lewis x (sLe(x); FUT3, FUT4, and ST3GAL6) are significantly increased in estrogen receptor alpha-negative (ER-negative) tumors compared with ER-positive ones. SLe(x) expression had no influence on the survival of patients whether they had ER-negative or ER-positive tumors. However, high expression of sLe(x) in ER-positive tumors was correlated with metastasis to the bone where sLe(x) receptor E-selectin is constitutively expressed. The ER-positive ZR-75-1 and the ER-negative BT20 cell lines both express sLe(x) but only ZR-75-1 cells could adhere to activated endothelial cells under dynamic flow conditions in a sLe(x) and E-selectin-dependent manner. Moreover, L/P-selectins bound strongly to ER-negative MDA-MB-231 and BT-20 cell lines in a heparan sulfate (HS)-dependent manner that was independent of sLe(x) expression. Expression of glycosylation genes involved in heparan biosynthesis (EXT1 and HS3ST1) was increased in ER-negative tumors. Taken together, our results suggest that the context of sLe(x) expression is important in determining its functional significance and that selectins may promote metastasis in breast cancer through protein-associated sLe(x) and HS glycosaminoglycans. Show less
📄 PDF DOI: 10.1158/0008-5472.CAN-11-1139
EXT1