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Lau, K. K.

Publications and source records attributed to Lau, K. K..

3 recordsLinked to original sources

Associations Between Gut Microbiome and 24-Hour Blood Pressure Variability: A Cross-sectional Study Highlighting Sex Differences and Potential Therapeutic Targets

Blood pressure (BP) variability is an independent risk factor for cardiovascular disease (CVD). While gut microbiota (GM) and GM-derived short-chain fatty acids (SCFAs) are recognized to play a key role in BP regulation, their association with BP variability remains poorly understood. This cross-sectional study of 241 community-dwelling individuals from Hong Kong (113 men and 128 women, mean age 54{+/-}6 years) without symptomatic CVD examined the associations of GM, characterized by shotgun sequencing, and plasma SCFAs, with systolic and diastolic blood pressure (SBP/DBP) variability assessed by 24-hour BP monitoring. GM analyses, using covariate-adjusted statistical models, revealed that higher 24-hour SBP CoV associated negatively with GM -diversity (Shannon and Simpsons index, P<0.05) and positively with Firmicutes/Bacteroidetes ratio, driven by the female cohort. Parabacteroides merdae, Bacteroides dorei, Bifidobacterium pseudocatenulatum, Alistipes finegoldii and Bacteroides intestinalis were negatively associated with indices of SBP/DBP variability in a sex-specific manner. Further analysis indicated that B. dorei may mediate SBP CoV via plasma iso-butyric acid in women (bootstrapping 95% CI: -3.6 to -0.19; P<0.05). We demonstrated that higher SBP variability is associated with markers of gut dysbiosis and a reduction in beneficial gut bacteria, particularly in women. Notably, we identified several gut bacterial species with potential therapeutic implications for managing 24-hour SBP/DBP variability, warranting further investigation.

microbiology↗

The impact of clade B lineage 5 MERS coronaviruses spike mutations from 2015 to 2023 on virus entry and replication competence

Middle East respiratory syndrome coronavirus (MERS-CoV) is an emerging coronavirus that can cause zoonotic disease in humans with lethal severe viral pneumonia. Dromedary camels are the source of zoonotic infection. As of June 2025, MERS-CoV has resulted in a total of 2626 reported cases, 36% of these being fatal. The number of reported human cases has been on a decreasing trend since 2016 and reached a minimum level during the COVID-19 pandemic. The reason for the reduction of cases is unclear and may be multifactorial. We hypothesized that mutations accumulating in the virus spike protein may have reduced zoonotic potential. Here, we investigate the impact of recently emerged virus spike-protein mutations on virus replication competence using pseudoviruses and replication-competent recombinant viruses. We found that two spike variants detected in 2019 show a reduced cell entry and lower viral replication in human cells. However, spike variants detected in 2023 sequences, did not show significant changes in cell entry and viral replication. All the MERS-CoV spikes tested showed a cell-entry pathway preference via the cell-surface TMPRSS2 route. Our data suggests that spike protein mutations are not a major determinant of the fewer MERS-CoV human cases observed. Author SummaryMERS-CoV is identified by the World Health Organization (WHO) as a potential pandemic candidate. The ability of coronaviruses to mutate and adapt in new hosts raises concerns about the impact of virus genetic changes on human zoonotic potential. There has been a notable decline in human MERS cases reported to the WHO since 2018, but the underlying reasons remain unclear. Here, we focus on investigating whether the recently emerged virus spike mutations may contribute to this observation. We found that while some spike mutations detected in 2019 reduce cell entry and viral replication, more recent viruses do not share this phenotype. This study highlighted a need for comprehensive genomic surveillance and phenotyping of recent MERS-CoV isolates to understand the potential role, if any, of other non-spike virus mutations on viral zoonotic competence and to explore alternate hypothesis, such as cross-reactive immunity from COVID-19 contributing to reduced human MERS-CoV disease.

microbiology↗

Pentose Sugars Encode Sequence-Dependent DNA-RNA Segregation for Biomimetic Multiphase Condensates

The nucleus segregates DNA and RNA with high precision to safeguard genome stability and gene regulation despite their homologous structures, yet the underlying molecular principles have long evaded both understanding and synthetic translation. Here we show that a single atomic difference between the pentose sugars, a 2-OH in RNA versus a 2-H in DNA, suffices to drive their phase segregation with cationic peptides. This subtle chemical distinction makes RNA bind peptides more strongly than sequence-identical DNA, generating an asymmetry that, when modulated by sequence-encoded homotypic interactions, drives the formation of core-shell multiphase condensates. Using a supervised machine-learning approach, we distill these molecular principles into a predictive design rule and harness it to program a library of oligonucleotide pairs, termed SEGREGamers, that self-assemble into droplets with coexisting DNA- and RNA-rich domains. These synthetic condensates recapitulate nuclear compartment functions, including selective molecular partitioning and enhanced RNA catalysis. Our results establish a chemically encoded platform for engineering synthetic nuclear mimics and programmable biomolecular condensates, and suggest that sugar identity may have served as an ancient physical mechanism for organizing nucleic acids.

biophysics↗