AbstractIntroductionAlthough some members of families with autosomal dominant Alzheimer's disease mutations learn their mutation status, most do not. How knowledge of mutation status affects clinical disease progression is unknown. This study quantifies the influence of mutation awareness on clinical symptoms, cognition, and biomarkers.MethodsMutation carriers and non‐carriers from the Dominantly Inherited Alzheimer Network (DIAN) were stratified based on knowledge of mutation status. Rates of change on standard clinical, cognitive, and neuroimaging outcomes were examined.ResultsMutation knowledge had no associations with cognitive decline, clinical progression, amyloid deposition, hippocampal volume, or depression in either carriers or non‐carriers. Carriers who learned their status mid‐study had slightly higher levels of depression and lower cognitive scores.DiscussionKnowledge of mutation status does not affect rates of change on any measured outcome. Learning of status mid‐study may confer short‐term changes in cognitive functioning, or changes in cognition may influence the determination of mutation status.
A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors
Abstract Purpose: Reducing colorectal cancer incidence and mortality through early detection would improve efficacy if targeted. We developed a colorectal cancer risk prediction model incorporating personal, family, genetic, and environmental risk factors to enhance prevention. Methods: A familial risk profile (FRP) was calculated to summarize individuals' risk based on detailed cancer family history (FH), family structure, probabilities of mutation in major colorectal cancer susceptibility genes, and a polygenic component. We developed risk models, including individuals' FRP or binary colorectal cancer FH, and colorectal cancer risk factors collected at enrollment using population-based colorectal cancer cases (N = 4,445) and controls (N = 3,967) recruited by the Colon Cancer Family Registry Cohort (CCFRC). Model validation used CCFRC follow-up data for population-based (N = 12,052) and clinic-based (N = 5,584) relatives with no cancer history at recruitment to assess model calibration [expected/observed rate ratio (E/O)] and discrimination [area under the receiver-operating-characteristic curve (AUC)]. Results: The E/O [95% confidence interval (CI)] for FRP models for population-based relatives were 1.04 (0.74–1.45) for men and 0.86 (0.64–1.20) for women, and for clinic-based relatives were 1.15 (0.87–1.58) for men and 1.04 (0.76–1.45) for women. The age-adjusted AUCs (95% CI) for FRP models for population-based relatives were 0.69 (0.60–0.78) for men and 0.70 (0.62–0.77) for women, and for clinic-based relatives were 0.77 (0.69–0.84) for men and 0.68 (0.60–0.76) for women. The incremental values of AUC for FRP over FH models for population-based relatives were 0.08 (0.01–0.15) for men and 0.10 (0.04–0.16) for women, and for clinic-based relatives were 0.11 (0.05–0.17) for men and 0.11 (0.06–0.17) for women. Conclusions: Both models calibrated well. The FRP-based model provided better risk stratification and risk discrimination than the FH-based model. Impact: Our findings suggest detailed FH may be useful for targeted risk-based screening and clinical management.
Pathological analysis of ErbB family and NRG-1 protein in progressive supranuclear palsy
Objective Since comorbidities such as autoimmune diseases may be associated with rheumatoid arthritis (RA) risk, we hypothesized that a family history of these other conditions might also predict RA. Therefore, we aimed to determine the association between family history of 79 comorbidities and RA. Methods This case–control study identified 821 cases of RA in the Mayo Clinic Biobank (positive predictive value 95%) and matched 3 controls to each case based on age, sex, recruitment year, and location. Patients self reported family history and characteristics (adjusted). Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs) for RA risk according to the presence of family history for each comorbidity, adjusted for body mass index, race, and smoking. Results Family history of several conditions was associated with developing RA, including rheumatic autoimmune diseases (OR adj 1.89 [95% CI 1.41–2.52]), pulmonary fibrosis (OR adj 2.12 [95% CI 1.16–3.80]), inflammatory bowel disease (OR adj 1.45 [95% CI 1.05–1.98]), hyper/hypothyroidism (OR adj 1.34 [95% CI 1.10–1.63]), and obstructive sleep apnea (OR adj 1.28 [95% CI 1.05–1.55]). Parkinson’s disease and type 2 diabetes mellitus were associated with a statistically decreased risk of RA that did not reach the prespecified significance threshold of P < 0.01 (OR adj 0.70 [95% CI 0.49–0.98] and OR adj 0.81 [95% CI 0.67–0.97], respectively). Analyses among 143 cases of incident RA were similar and also suggested an association with a family history of autism (OR 10.5 [95% CI 2.51–71.3]). Conclusion Family history of several autoimmune and nonautoimmune comorbidities was associated with increased risk of RA, providing an opportunity to identify novel populations at risk for RA.
Family Visitation Policies in the ICU and Delirium
Family Care Rituals in the ICU to Reduce Symptoms of Post-Traumatic Stress Disorder in Family Members—A Multicenter, Multinational, Before-and-After Intervention Trial*
Objectives: To assess the feasibility and efficacy of implementing “Family Care Rituals” as a means of engaging family members in the care of patients admitted to the ICU with a high risk of ICU mortality on outcomes including stress-related symptoms in family members. Design: Prospective, before-and-after intervention evaluation. Setting: Two U.S. academic medical ICU’s, and one Italian academic medical/surgical ICU. Subjects: Family members of patients who had an attending predicted ICU mortality of greater than 30% within the first 24 hours of admission. Interventions: A novel intervention titled “Family Care Rituals” during which, following a baseline observation period, family members enrolled in the intervention phase were given an informational booklet outlining opportunities for engagement in care of the patient during their ICU stay. Measurements and Main Results: Primary outcome was symptoms of post-traumatic stress disorder in family members 90 days after patient death or ICU discharge. Secondary outcomes included symptoms of depression, anxiety, and family satisfaction. At 90-day follow-up, 131 of 226 family members (58.0%) responded preintervention and 129 of 226 family members (57.1%) responded postintervention. Symptoms of post-traumatic stress disorder were significantly higher preintervention than postintervention (39.2% vs 27.1%; unadjusted odds ratio, 0.58; p = 0.046). There was no significant difference in symptoms of depression (26.5% vs 25.2%; unadjusted odds ratio, 0.93; p = 0.818), anxiety (41.0% vs 45.5%; unadjusted odds ratio, 1.20; p = 0.234), or mean satisfaction scores (85.1 vs 89.0; unadjusted odds ratio, 3.85; p = 0.052) preintervention versus postintervention 90 days after patient death or ICU discharge. Conclusions: Offering opportunities such as family care rituals for family members to be involved with providing care for family members in the ICU was associated with reduced symptoms of post-traumatic stress disorder. This intervention may lessen the burden of stress-related symptoms in family members of ICU patients.
Methylation Patterns in Waldenströms Macroglobulinemia Cells That Are Inherently Resistant or Have Acquired Resistance to Bortezomib, Converge on the TP63 and Cepba Family of Transcription Factors
Abstract Background: Waldenstrms macroglobulinemia (WM) is an indolent B-lymphoplasmacytic lymphoma, which is highly sensitive to 20S proteasome inhibitors such as bortezomib. However, clinical resistance to the drug can be observed early at onset of therapy (primary or inherent resistance) or develop over time, through repeated exposure to the drug (acquired resistance). Although prior investigations into the biological mechanisms associated with bortezomib resistance (BR) have identified aberrations at the genomic (PSMB5 mutation) and transcriptional level (loss of XPB-1), there is limited data on the epigenetic abnormalities that support resistance to 20S proteasome inhibition. With this in mind, we conducted a comprehensive methylation and mRNA expression analysis in WM cells focusing on the molecular patterns that characterize inherent BR (iBR) as well as acquired BR (aBR). Materials and Methods: Bortezomib sensitive (BS) human WM cell lines, BCWM.1 and MWCL-1, the iBR WM cell line RPCI-WM1 (developed from a bortezomib-refractory WM patient) as well as aBR subclones (BCWM.1/BR, MWCL-1/BR) were used in the study. Methylation status of WM cells was profiled by Illumina Infinium 450k methylation array. Methylation IDAT files were background subtracted using GenomeStudio v1.9. Beta mixture quantile dilation (BMIQ) method in R watermelon package was used to adjust type II probes into distribution characteristic of type I probes. For each gene, probes were partitioned into 6 regions using R IMA package and the ones belonging to the same region were averaged, including transcription start sites (TSS; both 200 bp and 1500 bp upstream), 5' untranslated region (UTR), and 3'UTR, the first exon, and genebody. Gene regions showing a significant adjusted p-value and a beta difference of >0.1 or <-0.1 were selected for differential hypermethylation and hypomethylation, respectively. Correlation with gene expression was conducted only on genes showing >1.5 fold change in expression. Overview of methodology is shown in Figure 1. Results: We first assessed the differential methylation pattern (TSS, 200bp upstream of gene body) of bortezomib-sensitive (BS, BCWM.1, IC50 6nM) and iBR cells, (RPCI-WM1). A total of 3,801 hypermethylated and 1,865 hypomethylated DNA regions were observed in iBR cells relative to BS cells (Figure 2A). In iBR cells, a negative correlation between hypermethylated DNA and corresponding gene expression was found in 1,039 genes (Spearman r = -0.12) (Figure 2B). In parallel, we compared the methylation pattern (TSS 200bp) of BS WM cells (BCWM.1 and MWCL-1) with their aBR derivatives, which display ~20 – 50 fold resistance to bortezomib. aBR subclones showed differential hypermethylation of 1,521 DNA regions and hypomethylation of 651 genomic regions relative to BS WM cells. These findings were not unexpected as aBR cell lines, being derivatives of BS WM cells, are clonally related to the former, whereas iBR cells are derived from a different clone. Meta-analysis of iBR and aBR followed by pathway enrichment (NextBio, Illumina Inc), revealed a significant clustering of commonly hypermethylated genes within the Validated Transcriptional Targets of TP63 isoforms Canonical Pathway (p<1.9-E5, Figure 2C) and the CEBPA binding site Geneset 2 (p<8.2-E9, Figure 2D); pathways whose genes are actively involved in suppression of cell growth and differentiation. Further validation and functional relevance of candidate gene targets from this analysis, which are relevant to WM pathobiology, are currently being investigated. Conclusion: This is the first study to examine and correlate the global methylation and gene expression profiles in WM tumor cells that are inherently wired to resist 20S proteasome inhibition as well as tumor cells, which have acquired resistance through continuous exposure to bortezomib. Although considerable differences were observed in the methylation profiles of WM cells displaying inherent vs. acquired resistance, a number of common genes emerged and pointed towards transcriptional repressors, whose inactivation through methylation has been linked to other cancers. Altogether, these findings uncover cellular systems in WM cells, which are affected by DNA methylation, subsequent mRNA suppression and which may be associated as a whole with both inherent and acquired forms of bortezomib resistance. Disclosures No relevant conflicts of interest to declare.
Comparison of αLEPRA and αLELY Co-Inheritance with a SPTA1 Whole Gene Deletion, a Family Study
Background: Genetic variants resulting in quantitative defects in the production of α-spectrin are associated with autosomal recessive hereditary spherocytosis (HS). Because erythroid cells produce α-spectrin in a 3-4:1 ratio in relation to β-spectrin, one defective allele is typically well-tolerated and a single null allele combined with a second partially defective allele may display a sub-clinical phenotype. Protein expression can be reduced by nonsense, frameshift, missense or splicing variants but reported large deletion events are extraordinarily rare (n = 1). Splicing variants include the low expression alleles αLELY - Low Expression LYon (SPTA1:c.6531-12C>T, p.?) and αLEPRA-Low Expression PRAgue (SPTA1:c.4339-99C>T, p.?) which reduce protein expression by 50% and 16%, respectively. Here, we present a family study with a whole gene SPTA1 deletion that characterizes the patient phenotype when a full gene mutation is co-inherited with the αLEPRA and αLELY low expression alleles. Methods: The 6 month-old male proband had a history of congenital Coombs negative hemolytic anemia requiring transfusion from 3 months of age and in whom a red cell membrane disorder was clinically suspected. Pretransfusion CBC and peripheral blood smear results were unknown. Transfused CBC indices were as follows: RBC 4 x 1012/L, HGB 11 g/dL, MCV 76 fL, MCH 27 pg, MCHC 36 g/dL and a reticulocyte count of 1.8%. The proband's mother, of Cuban descent, and father, of European descent, had no history of anemia or HS. Targeted high throughput sequencing of genes related to hereditary hemolytic anemia was performed for the detection of single nucleotide variants (SNVs) and small insertion/deletion variants (indels). Relative quantitative real time PCR (RT-PCR) was utilized to confirm large structural variants. Results: Sequencing identified a large heterozygous deletion that spanned the entire SPTA1 gene (NC_000001.11:g.(?_158656337)_(158581024_?) in the proband and his mother. In addition, the proband had inherited hemizygous αLEPRA from his father. The mother had hemizgous αLELY. The father showed heterozygous αLEPRA and no other SPTA1 variants (Table 1). Conclusion: To our knowledge, only Iolascon et al in 2011 has reported a SPTA1 gene large deletion (SpectrinExeter, exon 11-exon 12 deletion, loss of 83 amino acids) which resulted in a structurally abnormal protein and ellipto-poikilocytosis phenotype when in trans to αLELY. Our current case is the first reported SPTA1 full gene deletion and our family study allows comparison of the effects of coinheritance of the low expression alleles αLEPRA and αLELY. When in combination with complete absence of the SPTA1 gene in trans configuration, αLELY manifests in subclinical effects and αLEPRA causes a recessive HS phenotype, which resulted in severe anemia. This contrast further demonstrates that, unlike αLEPRA, αLELY does not decrease the α-spectrin concentration sufficiently to contribute to the baseline phenotype regardless of the severity of the second allele mutation for quantitative disorders such as HS. Disclosures No relevant conflicts of interest to declare.