APOE Gene Associated with Cholesterol-Related Traits in the Hispanic Population

An interracial Mendelian analysis revealed a link between lipid-lowering drugs and renal failure

Lipid-lowering drugs have been used in clinics widely. It is unclear whether the drugs have an effect on renal failure. We chose high-density lipoprotein cholesterol (ieu-b-109), low-density lipoprotein cholesterol (ieu-a-300), triglyceride (ieu-b-111), and total cholesterol (ebi-a-GCST90038690) as exposures. SNPs near drug genes served as instrumental variables. Acute renal failure (ARF) and chronic renal failure (CRF) in Europeans from the GWAS catalog were selected as outcomes. Datasets on renal failure in East Asians and South Asians were used for validation. Inverse variance weighted (IVW) was the primary method for drug-targeted Mendelian randomization. In the Europeans, people who used PPARG reduced ARF risk by 69.3% (OR: 0.307, 95% CI: 0.171-0.553, p = 0.015). NPC1L1 inhibitors increased ARF risk by 2.684 times (OR: 2.684, 95% CI: 2.027-3.341, p = 0.003). APOE increased ARF risk by 1.987 times (OR: 1.987, 95% CI: 1.062-3.716, p = 0.032) but decreased CRF risk by 49.7% (OR: 0.503, 95% CI: 0.283-0.894, p = 0.019). TNFSF12 increased CRF risk by 3.866 times (OR: 3.866, 95% CI: 1.174-12.729, p = 0.026). In the East Asians, PPARG reduced CRF risk by 85.8% (OR: 0.142, 95% CI: 0.054-0.371, p < 0.001). And in the South Asians, APOE decreased ARF risk by 99.8% (OR: 0.002, 95% CI: 2.12e-05-0.179, p = 0.007). We revealed that PPARG could reduce the risk of renal failure in Europeans and Asians. APOE could cause ARF in the Europeans, but it was protective in the South Asians. Clinicians need to consider the characteristics of the local population before administering drugs to patients of different ethnicities.

Amniotic fluid proteomic analysis identifies IL1RL1, APOE, and NECTIN4 as new biomarkers for preterm birth

BACKGROUND

Despite extensive research, the identification of effective biomarkers for early prediction of preterm birth (PTB) continues to be a challenging endeavor. This study aims to identify amniotic fluid (AF) protein biomarkers useful for the early diagnosis of PTB.

METHODS

We initially identified the protein expression profiles in the AF of women with PTB (n = 22) and full-term birth (FTB, n = 22), from the First People's Hospital of Yunnan Province who underwent amniocentesis from November 2019 to February 2020, using mass spectrometry employing the data-independent acquisition (DIA) technique, and then analyzed differentially expressed proteins (DEPs). Subsequently, the least absolute shrinkage and selection operator (LASSO) and random forest analysis were employed to further screen the key proteins for PTB biomarker identification. The receiver operating characteristic (ROC) analysis, calibration plots, and decision curve analyses (DCA) were utilized to assess the discrimination and calibration of the key biomarkers.

RESULTS

A total of 25 DEPs were identified between the PTB and FTB groups, comprising 13 up-regulated and 12 down-regulated proteins. Three key protein biomarkers for early PTB diagnosis were identified: IL1RL1 (interleukin-1 receptor-like 1), APOE (apolipoprotein E), and NECTIN4 (nectin cell adhesion molecule 4). The results of the ROC analysis showed that the area under the curve (AUC) of the three proteins combined as a biomarker for early diagnosis of PTB was 0.913 (95% CI: 0.823-1.000), with a sensitivity of 0.864 and a specificity of 0.955, both superior to those of the individual biomarkers. Bootstrap internal validation revealed a concordance index (C-index) of 0.878, with a sensitivity of 0.812 and a specificity of 0.773, indicating the robust predictive performance of these biomarkers.

CONCLUSIONS

We identified three previously unexplored yet potentially useful protein biomarkers in AF for early PTB diagnosis: IL1RL1, APOE, and NECTIN4.

Association of APOE gene with longitudinal changes of CSF amyloid beta and tau levels in Alzheimer's disease: racial differences

BACKGROUND

The Apolipoprotein E (APOE) ε4 allele is a risk factor for late-onset Alzheimer's disease (AD). However, no investigation has focused on racial differences in the longitudinal effect of APOE genotypes on CSF amyloid beta (Aβ42) and tau levels in AD.

METHODS

This study used data from the Alzheimer's Disease Neuroimaging Initiative (ADNI): 222 participants with AD, 264 with cognitive normal (CN), and 692 with mild cognitive impairment (MCI) at baseline and two years follow-up. We used a linear mixed model to investigate the effect of APOE-ε4-genotypes on longitudinal changes in the amyloid beta and tau levels.

RESULTS

Individuals with 1 or 2 APOE ε4 alleles revealed significantly higher t-Tau and p-Tau, but lower amyloid beta Aβ42 compared with individuals without APOE ε4 alleles. Significantly higher levels of log-t-Tau, log-p-Tau, and low levels of log-Aβ42 were observed in the subjects with older age, being female, and the two diagnostic groups (AD and MCI). The higher p-Tau and Aβ42 values are associated with poor Mini-Mental State Examination (MMSE) performance. Non-Hispanic Africa American (AA) and Hispanic participants were associated with decreased log-t-Tau levels (β =  - 0.154, p = 0.0112; β =  - 0.207, and p = 0.0016, respectively) as compared to those observed in Whites. Furthermore, Hispanic participants were associated with a decreased log-p-Tau level (β =  - 0.224, p = 0.0023) compared to those observed in Whites. There were no differences in Aβ42 level for non-Hispanic AA and Hispanic participants compared with White participants.

CONCLUSION

Our study, for the first time, showed that the APOE ε4 allele was associated with these biomarkers, however with differing degrees among racial groups.

Alzheimer's disease and Alzheimer's disease-related dementias in Hispanics: Identifying influential factors and supporting caregivers

Alzheimer's disease (AD) and Alzheimer's disease-related dementias (ADRD) are the primary public health concerns in the United States and around the globe. AD/ADRD are irreversible mental illnesses that primarily impair memory and thought processes and may lead to cognitive decline among older individuals. The prevalence of AD/ADRD is higher in Native Americans, followed by African Americans and Hispanics. Increasing evidence suggests that Hispanics are the fastest-growing ethnic population in the USA and worldwide. Hispanics develop clinical symptoms of AD/ADRD and other comorbidities nearly seven years earlier than non-Hispanic whites. The consequences of AD/ADRD can be challenging for patients, their families, and caregivers. There is a significant increase in the burden of illness, primarily affecting Hispanic/Latino families. This is partly due to their strong sense of duty towards family, and it is exacerbated by the inadequacy of healthcare and community services that are culturally and linguistically suitable and responsive to their needs. With an increasing age population, low socioeconomic status, low education, high genetic predisposition to age-related conditions, unique cultural habits, and social behaviors, Hispanic Americans face a higher risk of AD/ADRD than other racial/ethnic groups. Our article highlights the status of Hispanic older adults with AD/ADRD. We also discussed the intervention to improve the quality of life in Hispanic caregivers.

Relationship of Apolipoprotein E with Alzheimer's Disease and Other Neurological Disorders: An Updated Review

Alzheimer's disease (AD) and other neurodegenerative diseases, for which there is no effective cure, cause great social burden. Apolipoprotein E (APOE) is an important lipid transporter, which has been shown to have a close relationship with AD and other neurological disorders in an increasing number of studies, suggesting its potential as a therapeutic target. In this review, we summarize the recent advances in clinical and basic research on the role of APOE in the pathogenesis of multiple neurological diseases, with an emphasis on the new associations between APOE and AD, and between APOE and depression. The progress of APOE research in Parkinson's disease (PD) and some other neurological diseases is briefly discussed.

Lipid Metabolic Genes and Maternal Supraphysiological Hypercholesterolemia: An Analysis of Maternal-fetal Interaction

CONTEXT

The joint associations of maternal and fetal single nucleotide polymorphisms (SNPs) of lipid metabolic genes with the risk of maternal supraphysiological hypercholesterolemia (MSPH) are unclear.

OBJECTIVE

This study aims to investigate the associations of maternal/fetal SNPs of APOE, LPL, LDLR, PCSK9, and SCARB1 with the risk of MSPH and explore whether the maternal-fetal pairing pattern of the risk alleles can affect MSPH risk.

METHODS

A nested case-control study was conducted that included 182 pregnant women with MSPH and 182 with maternal physiological hypercholesterolemia. Maternal venous and umbilical venous blood were collected to detect the SNPs of genes. The primary outcome was MSPH. Logistic regression model was used to determine the associations of SNPs with risk of MSPH.

RESULTS

The C-allele in maternal APOE rs429358 T > C (adjusted odds ratio [OR] = 1.72, P = 0.033), G-allele in fetal APOE rs440446 C > G (adjusted OR = 1.62, P = 0.012) and T-allele in fetal LPL rs263 C > T (adjusted OR = 1.53, P = 0.011) increased the risk of MSPH. The A-allele in maternal LDLR rs7258950 G > A decreased the risk of MSPH (adjusted OR = 0.67, P = 0.028). For maternal-fetal pairing analysis, the variant concordance of PCSK9 rs2149041, rs7523141, rs7523242, rs7525649, and LDLR rs7258950 were associated with the decreased risk of MSPH under the dominant model. The variant concordance of other SNPs of PCSK9, APOE, LDLR, LPL, and SCARB1 were associated with the increased risk of MSPH.

CONCLUSION

This study supports the hypothesis that maternal and fetal genetic polymorphisms of lipid metabolic genes are associated with the risk of MSPH. The maternal-fetal variant concordance is also associated with this risk.

Effect of Apolipoprotein E ε4 Allele on the Progression of Carotid Atherosclerosis Through Apolipoprotein Levels

Background

Patients and methods

Results

Conclusion