M. Li

ORCID: 0009-0005-4566-0461
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • RNA modifications and cancer
  • Cancer-related gene regulation
  • Esophageal Cancer Research and Treatment
  • Colorectal Cancer Treatments and Studies
  • Extracellular vesicles in disease
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Gut microbiota and health
  • Amyotrophic Lateral Sclerosis Research
  • Nanoplatforms for cancer theranostics
  • Neurological diseases and metabolism
  • Neurogenetic and Muscular Disorders Research
  • Porphyrin and Phthalocyanine Chemistry
  • Gastric Cancer Management and Outcomes
  • Cancer Immunotherapy and Biomarkers
  • Advanced Photocatalysis Techniques

Xuzhou Medical College
2023

Chengdu University of Traditional Chinese Medicine
2023

North China Electric Power University
2022

First Affiliated Hospital of Zhengzhou University
2021

Abstract Depression is a common and debilitating condition for which effective treatments are needed. Lepidium meyenii Walp (Maca) plant with potential medicinal effects in treating depression. Recently, there has been growing interest plant‐derived extracellular vesicles (EVs) due to their low toxicity ability transport human cells. Targeting the gut–brain axis, novel strategy depression management, may be achieved through use of Maca‐derived EVs (Maca‐EVs). In this study, we successfully...

10.1002/imt2.116 article EN cc-by iMeta 2023-06-04

Photoactivated nanocarriers exhibit significant potential for anticancer therapy, but complex design strategies, unsustainable substrates, and short wavelengths limit their practical application. Here, we designed a new lignin-derived photoactivated nanomaterial that exploits the sensitivity of β-O-4 bond lignin to singlet oxygen. This sustainable product was loaded with mitochondria-targeting chlorin e6 black phosphorus quantum dots (BPQDs) produce [email protected] NPs, which were used...

10.1016/j.mtchem.2022.101000 article EN cc-by Materials Today Chemistry 2022-07-04

Abstract Background The causal relationship between work‐related factors and amyotrophic lateral sclerosis (ALS) is unclear. We used a Mendelian randomization (MR) analysis to investigate the unconfounded association ALS. Methods Univariable MR analyses were conducted evaluate effects of on Instrumental variables from UK Biobank ( n = 263,615) as proxies. outcome dataset ALS case 20,806, control 59,804) summary‐level data large‐scale genome‐wide study based European ancestry. inverse...

10.1002/brb3.3317 article EN cc-by Brain and Behavior 2023-11-13
Coming Soon ...