Objective To investigate the effect of electroacupuncture on diaphragm function of chronic obstructive pulmonary disease (COPD) rats with muscular dystrophy, and to explore the regulatory mechanism. Methods Forty male rats were randomly divided into blank group, model group, electroacupuncture group, exercise group, electroacupuncture plus exercise group, 8 rats in each group. After successful establishment of COPD rat model with muscular dystrophy, the modeled rats in various intervention groups were given electroacupuncture and/or exercise treatment. After the last treatment, the changes of rat body mass were observed, the rat lung function was detected, and the mRNA expression levels of myosin heavy chains (MHC) of MHC-1, MHC-2 and diaphragmatic related signal proteins of Atrogin-1, muscle ring-finger protein-1(MuRF-1), MyoD were detected by real-time quantitative polymerase chain reaction (qPCR). Results (1) Compared with the blank group, inspiratory resistance (IR) and functional residual mass (FRC) in the model group were increased (P < 0.05) , and the dynamic lung compliance(Cydn) was decreased(P<0.05). Compared with the model group, IR and FRC in the intervention groups were decreased (P < 0.05), but the differences among the three intervention groups were insignificant(P>0.05). (2) Compared with the blank group, the mRNA expression levels of MHC-1, Atrogin-1, MuRF-1, MyoD in the model group were increased (P<0.05), and the mRNA expression level of MHC-2 was decreased (P < 0.05). Compared with the model group, the mRNA expression levels of MHC-1, Atrogin-1, MuRF-1, MyoD in the intervention groups were decreased (P < 0.05) , and the mRNA expression level of MHC-2 was increased(P<0.05). Compared with the exercise group, the mRNA expression levels of Atrogin-1, MuRF-1, MyoD in the electroacupuncture group were decreased (P<0.05), and the mRNA expression level of MHC-2 was increased (P<0.05) , but the above indexes in electroacupuncture plus exercise group showed no obvious changes(P>0.05). Conclusion Electroacupuncture can improve respiratory function of COPD rats with muscular dystrophy, and the possible mechanism is related with the increase of MHC-2 mRNA expression and with the decrease of Atrogin-1, MuRF-1, MyoD mRNA expression, which result into the regulation of ubiquitin proteasome pathway(UPP), reduction of myosin loss, and the relief of diaphragmatic atrophy.

Objective To knockout the exon51 of DMD gene in HEK293T cells using the CRISPR/Cas9 system. Methods Design the target sequences of sgRNA and clone them into plasmid PX459 respectively; transfer these plasmids into HEK293T cell and extract the total genome DNA; test the activity of sgRNAs with surveyor assay, choose the most efficient one in each end;construct plasmid PX459-2sgRNA and transfer it into HEK293T cells;check whether the exon51 has been knocked known with PCR and T vector sequencing. Results 50% of HEK293T cells' DMD gene exon51 were knocked out,showing a high gene editing efficiency. Conclusions We successfully establish a platform to target knockout the exon51 of DMD gene and provide an important experimental basis for the treatment of DMD and other genetic diseases.

Physiologically based pharmacokinetic (PBPK) models have been widely used to predict various stages of drug absorption, distribution, metabolism and excretion. Models based on machine learning (ML) and artificial intelligence (AI) can provide better ideas for the construction of PBPK models, which can accelerate the prediction speed and improve the prediction quality of PBPK. ML and AL can complement the advantages of PBPK model to accelerate the progress of drug research and development. This review introduces the application of machine learning and artificial intelligence in pharmacokinetics, summarizes the research progress of physiological pharmacokinetic models based on machine learning and artificial intelligence, and analyzes the limitations of machine learning and artificial intelligence applications and their application prospects and prospects.