Alzheimer’s disease (AD) and diabetes mellitus (DM) are known to have a shared molecular mechanism. We aimed to identify shared blood transcriptomic signatures between AD and DM. Blood expression datasets for each disease were combined and a co-expression network was used to construct modules consisting of genes with similar expression patterns. For each module, a gene regulatory network based on gene expression and protein-protein interactions was established to identify hub genes. We selected one module, where COPS4, PSMA6, GTF2B, GTF2F2, and SSB were identified as dysregulated transcription factors that were common between AD and DM. These five genes were also differentially co-expressed in disease-related tissues, such as the brain in AD and the pancreas in DM. Our study identified gene modules that were dysregulated in both AD and DM blood samples, which may contribute to reveal common pathophysiology between two diseases.

The association between skipping breakfast and cardio-metabolic syndrome is well known. However, there are very few Korean studies about the habit of eating breakfast and hypertension. The present study aimed to investigate the relationship between the habit of eating breakfast and hypertension in a healthy Korean population. Participants in the 2014 Korea National Health and Nutrition Examination Surveys (KNHANES) were enrolled for this study. Medical history, including hypertension, was measured using a 24-hour recall method. The habit of eating breakfast was estimated from self-reported questionnaires and was classified into two groups: the eating breakfast group, defined as those who ate breakfast more than 5 times per week, and the not eating breakfast group, defined as those who did not eat any breakfast for a week. The crude odds ratio of skipping breakfast for the prevalence of hypertension was 0.366. However, after adjusting for all considerable confounding factors (age, sex, regular exercise, current smoking, systolic blood pressure, diastolic blood pressure, body mass index, waist circumference, and red blood cell counts), not eating breakfast was associated with a higher risk of HTN (OR = 1.065; 95% CI = 1.057-1.073; p-value < 0.001). The habit of eating breakfast was associated with a lower risk of hypertension among healthy Korean adults.

Accumulating evidence has suggested a shared pathophysiology between Alzheimer’s disease (AD) and cardiovascular disease (CVD). Based on genome-wide transcriptomes, specifically those of blood samples, we identify the shared disease-related signatures between AD and CVD. In addition to gene expressions in blood, the following prior knowledge were utilized to identify several candidate disease-related gene (DRG) sets: protein–protein interactions, transcription factors, disease–gene relationship databases, and single nucleotide polymorphisms. We selected the respective DRG sets for AD and CVD that show a high accuracy for disease prediction in bulk and single-cell gene expression datasets. Then, gene regulatory networks (GRNs) were constructed from each of the AD and CVD DRG sets to identify the upstream regulating genes. Using the GRNs, we identified two common upstream genes (GPBP1 and SETDB2) between the AD and CVD GRNs. In summary, this study has identified the potential AD- and CVD-related genes and common hub genes between these sets, which may help to elucidate the shared mechanisms between these two diseases.

Obesity and overweight status are primary risk factors for stroke. A relative small number of studies has analyzed the association of abdominal obesity, a crucial indicator for insulin resistance with stroke, compared to general obesity. We aimed to reveal 31,490 records from the Korea National Health and Nutrition Examination Survey (KNHANES). Logistic regression was used to identify the association of abdominal obesity with the risk of stroke. For the multivariate model, covariates were determined based on the cardio-cerebro vascular prediction models. In the sex-specific multivariate logistic regression analysis (including age, antihypertensive drug, diabetes, current smoking, and systolic blood pressure as confounders), the elevated waist circumference (WC) in women was significantly associated with the increased risk for stroke. In case of the categorized form of WC, we discerned the non-linear relationships between WC and the stroke status. The sex-specific associations between the abdominal obesity and stroke status were shown and their relationship pattern exhibited non-linear relationships.