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Biomedical subjects

Hongyu Chen

Publications and source records attributed to Hongyu Chen.

5 recordsLinked to original sources

Efficient prime editing in vivo and in vitro using lipid nanoparticles.

Prime editing is a versatile clinical genome editing method that enables precise substitutions, small insertions and deletions at specified locations in the genomes of living systems including human cells. Although non-viral lipid nanoparticle (LNP) delivery of RNA in vivo has become a preferred method for gene editing in animals and patients, its application to complex, three-component prime editing systems has yielded low editing efficiencies. Here we developed a systematic prime editing LNP (PE-LNP) optimization platform that addresses key bottlenecks in cargo design that limit editing efficiency. This generalizable workflow yielded PE-LNPs that can achieve 49% average in vivo prime editing in the bulk mouse liver with a single dose of 2 mg kg-1. We applied our workflow to the correction of PAH R408W, a cause of phenylketonuria, in a mouse model and achieved prime editing efficiencies and serum phenylalanine levels anticipated to be curative. We also show that PE-LNPs minimize off-target editing compared with DNA delivery methods, induce only transient elevation of liver enzymes and can be dosed repeatedly to improve editing efficiencies. These PE-LNP systems provide an attractive alternative to viral delivery by offering transient expression that minimizes off-target editing, no observed long-term toxicity and high levels of non-viral in vivo liver prime editing.

Animals

Natural variation in Miniature5 determines mitochondrial nad1 splicing and seed development in maize.

Seed size is a key determinant of cereal grain yield, but natural variations in defective-kernel genes have rarely been applied in maize breeding. Here, we report the positional cloning of maize Miniature5 (Mn5), which encodes a mitochondrial-targeted P-class pentatricopeptide repeat (PPR) protein. Further analysis shows that a missense mutation of Mn5, Mn5Val109, presents in maize populations and correlates with reduced seed size. The Mn5Val109 variant exhibits compromised function in the miniature5 (mn5-ref) mutant, failing to trans-splice mitochondrial nad1 intron1, drastically reducing the abundance and activity of respiratory complex I, accompanied by disorganized mitochondrial cristae. Mn5 directly binds to domain IV of the pre-nad1.1 transcript. Notably, this binding site is located downstream of the previously presumed 3'-terminus bound by MITOCHONDRIA STABILITY/PROCESSING PPR FACTOR1 (MSP1), thus redefining the 3'-end of the nad1.1 pre-RNA. Furthermore, Mn5 physically interacts with the maturases ZmnMAT1 and ZmnMAT3, as well as the PPR proteins PPR-SMR1 and SPR2, which are broadly involved in organellar group II intron splicing. Together, our results suggest that Mn5 recruits maturases and PPR proteins to form spliceosomal complexes responsible for the trans-splicing of nad1 intron1. Importantly, natural variations in Mn5 confer differences in seed size control, offering potential for breeding high-yield maize varieties.

Zea mays

Genome-wide Association Studies of the Pathogenic Sphingosine-1-Phosphate Gene in Ulcerative Colitis.

BACKGROUND: Ulcerative colitis (UC) is a chronic inflammatory bowel disease that can lead to malignancies over time. Sphingosine-1-phosphate (S1P) receptor signaling affects lymphocyte trafficking and vascular integrity, influencing intestinal inflammation. This study aimed to identify S1P-related key genes in UC. METHODS: Differentially expressed genes (DEGs) between the UC and control groups were analyzed in the GSE87473 (training) dataset. Genes overlapping between the DEGs and S1P-related genes were considered candidate genes. These genes were incorporated into machine learning algorithms and subjected to expression analysis to identify key genes. Gene functions were determined through a gene–gene interaction network, enrichment analysis, and immune cell infiltration analysis. In addition, transcription factor–mRNA and mRNA–miRNA–lncRNA networks were constructed. Finally, reverse transcription–quantitative polymerase chain reaction (RT-qPCR) was performed to evaluate the expression of key candidate genes in UC and control tissues. RESULTS: This study identified two key genes (SPHK2 and SPNS2) associated with UC. Notably, SPHK2 expression was lower and SPNS2 expression was higher in the UC group in both training and validation datasets and in clinical UC tissues (RT-qPCR). The area under the curve values of SPHK2 and SPNS2 exceeded 0.7 in both datasets, indicating that the genes had good diagnostic efficacy for UC. Consistently, the nomogram showed that the two genes had promising diagnostic value in UC. SPHK2 and SPNS2 were found to be localized to the plasma membrane. The correlations of the two genes with different immune cells showed significantly opposite trends. In particular, SPHK2 had the strongest positive correlation with M2 macrophages (r = 0.6) and the strongest negative correlation with neutrophils. Moreover, mRNA–miRNA–lncRNA and transcription factor– mRNA networks of the key genes were constructed. CONCLUSION: This study suggests that SPHK2 and SPNS2 are key genes associated with UC, highlighting their potential as effective diagnostic biomarkers.

Humans

Genetic risk factors in rheumatoid arthritis: A Mendelian randomization study of chronic kidney disease in European populations.

Rheumatoid arthritis (RA) is a heritable autoimmune disease linked to chronic kidney disease (CKD) in observational studies. However, whether this association is causal and driven by shared genetic risk remains unclear, warranting genetic investigation. To investigate possible causal relationships between RA and different CKD subtypes, we used Mendelian randomization (MR) analyses with data from genome-wide association studies. The inverse variance weighted (IVW) methodology was the main method, and sensitivity analyses were added to improve the validity of the causal estimations. Our analysis predicted that RA significantly increases the risk of IgA nephropathy (IVW odds ratio [OR]&#x2005;=&#x2005;1.041, 95% confidence interval [CI]&#x2005;=&#x2005;1.018-1.065, P&#x2005;=&#x2005;4.286e-04), diabetic nephropathy (IVW OR&#x2005;=&#x2005;1.078, 95% CI&#x2005;=&#x2005;1.009-1.152, P&#x2005;=&#x2005;.027), nephrotic syndrome (IVW OR&#x2005;=&#x2005;1.164, 95% CI&#x2005;=&#x2005;1.078-1.257, P&#x2005;=&#x2005;1.012e-04), and chronic renal failure (IVW OR&#x2005;=&#x2005;1.046, 95% CI&#x2005;=&#x2005;1.018-1.075, P&#x2005;=&#x2005;1.000e-03). MR analyses confirmed RA's positive causal effect on these CKD subtypes (all P&#x2005;<&#x2005;.05). While heterogeneity was observed for IgA nephropathy and chronic renal failure, sensitivity analyses (MR-Egger intercept, all P&#x2005;>&#x2005;.05) revealed no evidence of horizontal pleiotropy, supporting the robustness of our findings. Our findings suggest that in European-ancestry populations, a genetic predisposition to RA is causally associated with a higher risk of specific types of CKD. While these results require validation in diverse ethnic groups, they highlight the potential importance of renal monitoring for genetically susceptible RA patients, which may help mitigate the public health burden of CKD.

Humans