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Mingmin Bi

Researcher at Sun Yat-sen University

Publications -  6
Citations -  22

Mingmin Bi is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 1, co-authored 2 publications receiving 7 citations.

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Si-Wu-Tang Alleviates Nonalcoholic Fatty Liver Disease via Blocking TLR4-JNK and Caspase-8-GSDMD Signaling Pathways.

TL;DR: Treatment with Si-Wu-Tang improves MCD diet-induced nonalcoholic fatty liver disease in part via blocking TLR4-JNK and Caspase-8-GSDMD signaling pathways, suggesting that Si-wu- Tang has potential for clinical application in treating NAFLD.
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Migrasomes: From Biogenesis, Release, Uptake, Rupture to Homeostasis and Diseases

TL;DR: The biogenesis, release, uptake, and rupture of migrasomes are summarized and its biological roles in development, redox signalling, innate immunity and COVID-19, cardio-cerebrovascular diseases, renal diseases, and cancer biology are discussed, all of which highlight the importance of migratingasomes in modulating body homeostasis and diseases.
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Noble Gases Therapy in Cardiocerebrovascular Diseases: The Novel Stars?

TL;DR: To investigate the precise actions of noble gases on redox signals, gases interaction, different cell death forms, and the emerging field of gasoimmunology, which focus on the effects of gas atoms/molecules on innate immune signaling or immune cells under both the homeostatic and perturbed conditions, these will help to uncover the mystery of noble gas in modulating CCVDs.
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Hydrogen gas alleviates acute alcohol-induced liver injury by inhibiting JNK activation.

TL;DR: It is demonstrated that treatment with exogenous H2 by intraperitoneal injection may alleviate acute alcohol-induced liver injury by inhibiting hepatic JNK activation, which may represent a novel therapeutic strategy for ALD.
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MIB-ANet: A novel multi-scale deep network for nasal endoscopy-based adenoid hypertrophy grading

TL;DR: Li et al. as discussed by the authors developed a novel deep learning model to automatically grade adenoid hypertrophy, based on nasal endoscopy, and asses its performance with that of E.T. clinicians.