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Biology subjects

Zhen, S.

Publications and source records attributed to Zhen, S..

2 recordsLinked to original sources

Reporting amyloid beta levels via bioluminescence imaging with amyloid reservoirs inAlzheimer's disease models

Bioluminescence imaging has changed daily practice in preclinical research of cancers and other diseases in the last decades; however, it has been rarely applied in preclinical research of Alzheimers disease (AD). In this report, we demonstrated that bioluminescence imaging could be used to report the levels of amyloid beta (A{beta}) species in vivo. We hypothesized that AkaLumine, a newly discovered substrate for luciferase, could bind to A{beta} aggregates and plaques. We further speculated that the A{beta} species have the reservoir capacity to sequester and release AkaLumine to control the bioluminescence intensity, which could be used to report the levels of A{beta}s. Our hypotheses have been validated via in vitro solution tests, mimic studies with brain tissues and mice, two-photon imaging with AD mice, and in vivo bioluminescence imaging using transgenic AD mice that were virally transduced with aka Luciferase (AkaLuc), a new luciferase that generates bioluminescence in the near infrared window. As expected, compared to the control group, we observed that the A{beta} group showed lower bioluminescence intensity due to AkaLumine sequestering at early time points, while higher intensity due to AkaLumine releasing at later time points. Lastly, we demonstrated that this method could be used to monitor AD progression and therapeutic effectiveness of avagacestat, a well-studied gamma-secretase inhibitor. Importantly, a good correlation (R2 = 0.81) was established between in vivo bioluminescence signals and A{beta} burdens of the tested AD mice. We believe that our approach can be easily implemented into daily imaging experiments and has tremendous potential to change daily practice of preclinical AD research.

neuroscience

Mouse Single Pancreatic β Cell Transcriptomics Reveal Sexual Dimorphism of Transcriptomes and Identify Sex-dependent Type 2 Diabetes Altered Genes

Type 2 diabetes (T2D), characterized by malfunction of pancreatic {beta} cells, is affected by multiple cues including sex differences. Nevertheless, mechanisms of sex differences in type 2 diabetes susceptibility and pathogenesis remain unclear. Using single-cell RNA sequencing (scRNA-seq) technology, we showed that sexual dimorphism of transcriptome exists in mouse {beta} cells. Our analysis further revealed the existence of sex-dependent type 2 diabetes altered genes in high fat diet induced T2D model, suggesting divergences in pathological mechanisms of type 2 diabetes between sexes. Our results indicated that sex should be taken into consideration when treating diabetes, which was further validated by the sex-matched and sex-mismatched islet transplantation in mice. Compared to sex-matched transplants, sex-mismatched transplants showed downregulation of genes involved in the longevity regulating pathway in {beta} cells and led to impaired glucose tolerance in diabetic mice. Taken together, our findings could advance current understanding of type 2 diabetes pathogenesis with sexually dimorphic perspectives and provide new insights to the development of precision medicine.

bioinformatics