The gut microbiome across the cardiovascular risk spectrum

Aims: Despite treatment advancements, cardiovascular disease remains a leading cause of death worldwide. Identifying new targets is crucial for enhancing preventive and therapeutic strategies. The gut microbiome has been associated with coronary artery disease (CAD), however our understanding of specific changes during CAD development remains limited. We aimed to investigate microbiome changes in participants without clinically manifest CAD with different cardiovascular risk levels and in patients with ST-elevation myocardial infarction (STEMI). Methods and results: In this cross-sectional study, we characterized the gut microbiome using metagenomics of 411 faecal samples from individuals with low (n = 130), intermediate (n = 130), and high (n = 125) cardiovascular risk based on the Framingham score, and STEMI patients (n = 26). We analysed diversity, and differential abundance of species and functional pathways while accounting for confounders including medication and technical covariates. Collinsella stercoris, Flavonifractor plautii, and Ruthenibacterium lactatiformans showed increased abundances with cardiovascular risk, while Streptococcus thermophilus was negatively associated. Differential abundance analysis revealed eight species and 49 predicted metabolic pathways that were differently abundant among the groups. In the gut microbiome of STEMI patients, there was a depletion of pathways linked to vitamin, lipid, and amino acid biosynthesis. Conclusion: We identified four microbial species showing a gradual trend in abundance from low-risk individuals to those with STEMI, and observed differential abundant species and pathways in STEMI patients compared to those without clinically manifest CAD. Further investigation is warranted to gain deeper understanding of their precise role in CAD progression and potential implications, with the ultimate goal of identifying novel therapeutic targets

Linguistic and extra-linguistic predictors of mutual intelligibility between Germanic languages

We report on a large-scale investigation of the mutual intelligibility between five Germanic languages: Danish, Dutch, English, German and Swedish. We tested twenty language combinations using the same uniform methodology, making the results commensurable for the first time. We first tested both written and spoken language by means of cloze tests. Next we calculated linguistic distance at the levels of lexicon, orthography, phonology, morphology and syntax. We also quantified exposure and attitudes towards the test languages. Finally, we carried out a regression analysis to determine the relative importance of these linguistic and extra-linguistic predictors for the mutual intelligibility between Germanic languages. The extra-linguistic predictor exposure was the most significant factor in predicting intelligibility in the Germanic language area. The effect of attitude was very small. Lexical distance, orthographic and phonetic distances were the most important linguistic predictors of intelligibility