Publications by authors named "Jingcheng Lv"

Benign prostatic hyperplasia (BPH) presents a significant clinical challenge, with conventional therapies carrying substantial risks, including urinary retention, sexual dysfunction, and prolonged recovery. To address the urgent need for safer, ultra-minimally invasive alternatives, we developed a sonosensitizing nanoplatform using copper-manganese-doped mesoporous silica nanoparticles (Cu-Mn@SiO) for ultrasound-induced sonodynamic therapy (SDT). Here, we demonstrate that this innovative strategy provides highly effective and precisely targeted therapy for BPH.

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  • Gut microbiota may play a role in the development of clear cell renal cell carcinoma (ccRCC), but the specific mechanisms are still unclear.
  • A study comparing fecal samples from 30 ccRCC patients and 30 healthy controls found significant differences in the overall gut microbiota structures, although the overall diversity was similar.
  • Specific bacterial species were identified as more or less abundant in ccRCC patients, and changes in serum taurine levels and macrophage-related gene expression may indicate potential risk factors for the disease.
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Magnetorheological fluid (MRF) is a widely used smart material that suffers from sedimentation. Since sedimentation is unavoidable, it is crucial to study and improve the redispersibility of MRFs. However, previous redispersibility testing methods have problems, such as complicated operation and low precision.

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A kidney transplant is often the treatment of choice for end-stage kidney disease, compared with a lifetime on dialysis. Kidney transplant recipients (KTRs) have a reduced risk for new strokes than patients with chronic kidney disease (CKD) G5 treated by dialysis (CKD G5D). However, the benefit of Kidney transplant on post-stroke hospitalization outcomes has not been well studied.

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  • Ferroptosis-related genes (FRGs) are crucial for understanding the survival and prognosis of prostate cancer patients, leading to the development of a predictive model to assess overall and disease-free survival based on immune cell infiltration characteristics.
  • A comprehensive analysis involving 268 FRGs revealed differentially expressed genes using the TCGA database, employing various bioinformatics methods including Cox regression to create prognostic models linked to clinicopathological features.
  • The established models indicated that advanced cancer stages (T3-4) and N0 stages showed better predicted survival rates; additionally, distinct patterns of immune cell infiltration associated with ferroptosis were identified, highlighting the role of specific immune cells in high- and low-risk groups.
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