Institution
Chinese PLA General Hospital
Healthcare•Beijing, China•
About: Chinese PLA General Hospital is a healthcare organization based out in Beijing, China. It is known for research contribution in the topics: Medicine & Population. The organization has 18037 authors who have published 12349 publications receiving 184803 citations. The organization is also known as: 301 Military Hospital.
Topics: Medicine, Population, Cancer, Transplantation, Apoptosis
Papers published on a yearly basis
Papers
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TL;DR: In vivo xenografts tumors in nude-mouse model results showed that siFoxM1-Apt-CNBs combined with UMND led to significant inhibition of tumor growth and prolonged the survival of the mice, with low toxicity, an obvious reduction in FoxM1 expression, and a higher apoptosis index.
Abstract: The Forkhead box M1 (FoxM1) transcription factor is an important anti-tumor target. A novel targeted ultrasound (US)-sensitive nanobubble that is likely to make use of the physical energy of US exposure for the improvement of delivery efficacy to target tumors and specifically silence FoxM1 expression appears as among the most potential nanocarriers in respect of drug delivery. In this study, we synthesized a promising anti-tumor targeted FoxM1 siRNA-loaded cationic nanobubbles (CNBs) conjugated with an A10-3.2 aptamer (siFoxM1-Apt-CNBs), which demonstrate high specificity when binding to prostate-specific membrane antigen (PSMA) positive LNCaP cells. Uniform nanoscaled siFoxM1-Apt-CNBs were developed using a thin-film hydration sonication, carbodiimide chemistry approaches, and electrostatic adsorption methods. Fluorescence imaging as well as flow cytometry evidenced the fact that the siFoxM1-Apt-CNBs were productively developed and that they specifically bound to PSMA-positive LNCaP cells. siFoxM1-Apt-CNBs combined with ultrasound-mediated nanobubble destruction (UMND) significantly improved transfection efficiency, cell apoptosis, and cell cycle arrest in vitro while reducing FoxM1 expression. In vivo xenografts tumors in nude-mouse model results showed that siFoxM1-Apt-CNBs combined with UMND led to significant inhibition of tumor growth and prolonged the survival of the mice, with low toxicity, an obvious reduction in FoxM1 expression, and a higher apoptosis index. Our study suggests that siFoxM1-Apt-CNBs combined with UMND might be a promising targeted gene delivery strategy for therapy of prostate cancer.
67 citations
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TL;DR: To determine the diagnostic performance of ultrasound‐based simple rules, risk of malignancy index (RMI), two logistic regression models (LR1 and LR2) and real‐time subjective assessment by experienced ultrasound examiners following the exclusion of masses, a new strategy for the assessment of adnexal pathology is developed.
Abstract: Objective To determine the diagnostic performance of ultrasound-based simple rules, risk of malignancy index (RMI), two logistic regression models (LR1 and LR2) and real-time subjective assessment by experienced ultrasound examiners following the exclusion of masses likely to be judged as easy and 'instant' to diagnose by an ultrasound examiner, and to develop a new strategy for the assessment of adnexal pathology based on this. Methods 3511 patients with at least one persistent adnexal mass preoperatively underwent transvaginal ultrasonography to assess tumor morphology and vascularity. They were included in two consecutive prospective studies by the International Ovarian Tumor Analysis (IOTA) group: Phase 1 (1999-2005), development of the simple rules and logistic regression models LR1 and LR2, and Phase 2, a validation study (2005-2007). Results Almost half of the cases (43%) were identified as 'instant' to diagnose on the basis of descriptors applied to the database. To assess diagnostic performance in the more difficult 'non-instant' masses, we used only Phase 2 data (n = 1036). The sensitivity of LR2 was 88%, of RMI it was 41% and of subjective assessment it was 87%. The specificity of LR2 was 67%, of RMI it was 90% and of subjective assessment it was 86%. The simple rules yielded a conclusive result in almost 2/3 of the masses, where they resulted in sensitivity and specificity similar to those of real-time subjective assessment by experienced ultrasound examiners: sensitivity 89 vs 89% (P = 0.76), specificity 91 vs 91% (P = 0.65). When a three-step strategy was appliedwith easy 'instant' diagnoses as Step 1, simple rules where conclusive as Step 2 and subjective assessment by an experienced ultrasound examiner in the remaining masses as Step 3, we obtained a sensitivity of 92% and specificity of 92% compared with sensitivity 90% (P = 0.03) and specificity 93% (P = 0.44) when using real-time subjective assessment by experts in all tumors. Conclusion A diagnostic strategy using simple descriptors and ultrasound rules when applied to the variables contained in the IOTA database obtains results that are at least as good as those obtained by subjective assessment of a mass by an expert. Copyright. (C) 2012 ISUOG. Published by John Wiley & Sons, Ltd.
67 citations
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TL;DR: Findings indicated that an increased number of F. nucleatum in the tissues is a biomarker for the diagnosis and prognosis of CRC, and the underlying molecular mechanism can probably provide a potential intervention treatment strategy for patients with F.ucleatum-associated CRC.
67 citations
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TL;DR: The analysis revealed a specific biomarker, complement component C1q, in lung cancer personalized protein coronas, abundantly bound to Gd@C82(OH)22 NPs that led to the activation of an innate immune response, which could be exploited for cancer immune therapy.
Abstract: When a nanomedicine is administrated into the human body, biomolecules in biological fluids, particularly proteins, form a layer on the surface of the nanoparticle known as a "personalized protein corona". An understanding of the formation and behavior of the personalized protein corona not only benefits the nanotherapy treatment efficacy but also can aid in disease diagnosis. Here we used Gd@C82(OH)22 nanoparticles, a nanomedicine effective against several types of cancer, as a model nanomedicine to investigate the natural protein fingerprint of the personalized protein corona formed in 10 human lung squamous cell carcinoma patients. Our analysis revealed a specific biomarker, complement component C1q, in lung cancer personalized protein coronas, abundantly bound to Gd@C82(OH)22 NPs. This binding altered the secondary structure of C1q protein and led to the activation of an innate immune response, which could be exploited for cancer immune therapy. On the basis of this finding, we provide a new strategy for the development of precision nanomedicine derived from opsonization of a unique protein fingerprint within patients. This approach overcomes the common pitfall of protein corona formation and exploits the corona proteins to generate a precision nanomedicine and diagnostic tool.
67 citations
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TL;DR: Investigation of the effects of PAG and GYY4137 on insulin resistance in high fatty diet induced obese mice implicated that inhibition endogenous CSE/H2S system in adipocytes increased lipolysis by a protein kinase A-perilipin/hormone-sensitive lipase pathway, thus blunted fat mass increase and reduced insulin Resistance in obese mice.
Abstract: Objective
Adipose tissue expressed endogenous cystathionine gamma lyase (CSE)/hydrogen sulfide (H2S) system. H2S precursor inhibited catecholamine stimulated lipolysis. Thus, we hypothesized that CSE/H2S system regulates lipolysis which contributed to the pathogenesis of insulin resistance.
67 citations
Authors
Showing all 18235 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jie Zhang | 178 | 4857 | 221720 |
Gregory Y.H. Lip | 169 | 3159 | 171742 |
Chao Zhang | 127 | 3119 | 84711 |
Hong Wang | 110 | 1633 | 51811 |
Shuji Ogino | 106 | 549 | 43073 |
Li Chen | 105 | 1732 | 55996 |
Jing Wang | 97 | 1123 | 53714 |
Wei Wang | 95 | 3544 | 59660 |
Zhiguo Yuan | 93 | 633 | 28645 |
Tai Hing Lam | 93 | 1168 | 51646 |
Christopher P. Crum | 87 | 412 | 32399 |
Guozhen Shen | 84 | 422 | 23992 |
Jing-Feng Li | 81 | 507 | 23434 |
Zongjin Li | 80 | 630 | 22103 |
Wan Yee Lau | 76 | 463 | 21257 |