The effects of a diet with high fat content from lard on the health and adipose-markers' mRNA expression in mice.

Pork is one type of the most frequently consumed meat with about 30% globally. Thus, the questions regarding to the health effects of diet with high fat content from lard are raised. Here, we developed a model of mice fed with high fat (HF) from lard to investigate and have more insights on the effects of long-time feeding with HF on health. The results showed that 66 days on HF induced a significant gain in the body weight of mice, and this weight gain was associated to the deposits in the white fat, but not brown fat. The glucose tolerance, not insulin resistance, in mice was decreased by the HF diet, and this was accompanied with significantly higher blood levels of total cholesterol and triglycerides. Furthermore, the weight gains in mice fed with HF seemed to link to increased mRNA levels of adipose biomarkers in lipogenesis, including Acly and Acaca genes, in white fat tissues. Thus, our study shows that a diet with high fat from lard induced the increase in body weight, white fat depots' expansion, disruption of glucose tolerance, blood dyslipidemia, and seemed to start affecting the mRNA expression of some adipose biomarkers in a murine model.

Variation in body weight, glucose/insulin tolerances, blood lipids and liver enzymes in mice in response to a high-fat-diet from lard.

It raises questions about the impact of lard on the health and the differences in individual responses. Therefore, we developed a model of mice fed with high fat (HF) from lard in 130 days. The weight of the mice was measured every two days. Glucose tolerance test and insulin tolerance tests were performed at 70 days and 130 days of experiment. At the end of the study, the fat tissue was collected to check the weight, and a blood sample was collected to check the blood lipids and liver enzymes. Surprisingly, mice responded variously to the HF by being classified into two groups, one group had significantly high gained weight (HG_HF) versus the mice fed a standard diet (STD) (p < 0.001), and another group (LG_HF) has not difference in body weight compared to the STD groups. This phenomenon in body weight is directly reflected by the white fat accumulation, but not by brown fat. Eating HF from lard for a long time can disrupt glucose tolerance and cause dyslipidemia in mice, even in the LG_HF group, but can not disrupt insulin tolerance and cause liver enzyme disorders. In summary, our findings are a wake-up call for many cases where eating HF from lard does not gain weight and not increase the white fat storage, but still has the potential to cause adverse health effects. Further studies are encouraged to understand the molecular mechanisms that causes the body to regulate its weight and responses when eating HF from lard, especially in the LG_HF group.

Biosafety and regulatory issues of RNA therapeutics.

RNA therapy has recently emerged as a therapy targeting specific genes or proteins. With its outstanding advantages, this therapy has opened promising doors for treating and preventing diseases. The great application potential has driven the need for a comprehensive understanding of these therapies, particularly on biosafety and regulatory issues. This chapter began by discussing the risks to RNA therapy, such as off-target effects, immunogenicity and immune responses, and long-term effects. Since then, this therapy's intricate landscape of biosafety issues has been elucidated. Common biosecurity measures applied around the world have also been reviewed. In addition, this chapter emphasized the importance of regulations and laws in applying RNA therapy to prevent and treat human and animal diseases. At the same time, the current legal regulations in the world for RNA therapies have also been thoroughly discussed. To sum up, this chapter has provided a comprehensive perspective on biosafety and regulatory issues for developing RNA therapies. Understanding the biosafety and regulatory issues in RNA therapy can help researchers use this promising new technology safely and effectively in the future.

Application of data science and bioinformatics in RNA therapeutics.

Nowadays, information technology (IT) has been holding a significant role in daily life worldwide. The trajectory of data science and bioinformatics promises pioneering personalized therapies, reshaping medical landscapes and patient care. For RNA therapy to reach more patients, a comprehensive understanding of the application of data science and bioinformatics to this therapy is essential. Thus, this chapter has summarized the application of data science and bioinformatics in RNA therapeutics. Data science applications in RNA therapy, such as data integration and analytics, machine learning, and drug development, have been discussed. In addition, aspects of bioinformatics such as RNA design and evaluation, drug delivery system simulation, and databases for personalized medicine have also been covered in this chapter. These insights have shed light on existing evidence and opened potential future directions. From there, scientists can elevate RNA-based therapeutics into an era of tailored treatments and revolutionary healthcare.