Kun Qian

Bio: Kun Qian is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 33, co-authored 113 publications receiving 2932 citations. Previous affiliations of Kun Qian include University of Queensland & Fudan University.

Functional Nanoporous Graphene Foams with Controlled Pore Sizes

Abstract: A simple hydrophobic-affinity-derived assembly approach to pack graphene sheets into a nanoporous foam structure has been developed. Nanoporous graphene foams with the highest pore volume and large surface area are obtained. The pore diameter of the graphene foams can be finely adjusted from the mesopore to the macropore range by employing spherical templates with different sizes.

Janus particles: design, preparation, and biomedical applications.

Abstract: Janus particles with an anisotropic structure have emerged as a focus of intensive research due to their diverse composition and surface chemistry, which show excellent performance in various fields, especially in biomedical applications. In this review, we briefly introduce the structures, composition, and properties of Janus particles, followed by a summary of their biomedical applications. Then we review several design strategies including morphology, particle size, composition, and surface modification, that will affect the performance of Janus particles. Subsequently, we explore the synthetic methodologies of Janus particles, with an emphasis on the most prevalent synthetic method (surface nucleation and seeded growth). Following this, we highlight Janus particles in biomedical applications, especially in drug delivery, bio-imaging, and bio-sensing. Finally, we will consider the current challenges the materials face with perspectives in the future directions.

Plasmonic silver nanoshells for drug and metabolite detection.

Abstract: In-vitro metabolite and drug detection rely on designed materials-based analytical platforms, which are universally used in biomedical research and clinical practice. However, metabolic analysis in bio-samples needs tedious sample preparation, due to the sample complexity and low molecular abundance. A further challenge is to construct diagnostic tools. Herein, we developed a platform using silver nanoshells. We synthesized SiO2@Ag with tunable shell structures by multi-cycled silver mirror reactions. Optimized nanoshells achieved direct laser desorption/ionization mass spectrometry in 0.5 μL of bio-fluids. We applied these nanoshells for disease diagnosis and therapeutic evaluation. We identified patients with postoperative brain infection through daily monitoring and glucose quantitation in cerebrospinal fluid. We measured drug distribution in blood and cerebrospinal fluid systems and validated the function of blood-brain/cerebrospinal fluid-barriers for pharmacokinetics. Our work sheds light on the design of materials for advanced metabolic analysis and precision diagnostics. Preparation of samples for diagnosis can affect the detection of biomarkers and metabolites. Here, the authors use a silver nanoparticle plasmonics approach for the detection of biomarkers in patients as well as investigate the distribution of drugs in serum and cerebral spinal fluid.

A designed nanoporous material for phosphate removal with high efficiency

Abstract: Functionalized mesoporous materials for phosphate removal with high efficiency and minimized sludge treatment or disposal problems have been developed. Biocompatible lanthanum adsorbents were loaded into a mesoporous silica SBA-15 which can be transformed to LaPO4 species with very low Ksp. La species were immobilized in the mesopores of La-SBA-15 by controlling the calcination temperature to avoid the leaching of functional component. By adjusting the pore size of the mesoporous support to control the nucleation and growth site, the phosphates can diffuse into the pore channels and react with La species. The nucleation of LaPO4 species takes place inside the pore and they further grow from inside to the outside of the pore channels, thus the phosphates can be adsorbed in the adsorbent. The designed nanoporous material has the highest phosphate removal capacity compared to literature reports and commercial products, which can prevent the excessive growth of blue green algae and thus have great potential in water body quality control and protection.

The somatic genomic landscape of glioblastoma

Abstract: We describe the landscape of somatic genomic alterations based on multidimensional and comprehensive characterization of more than 500 glioblastoma tumors (GBMs). We identify several novel mutated genes as well as complex rearrangements of signature receptors, including EGFR and PDGFRA. TERT promoter mutations are shown to correlate with elevated mRNA expression, supporting a role in telomerase reactivation. Correlative analyses confirm that the survival advantage of the proneural subtype is conferred by the G-CIMP phenotype, and MGMT DNA methylation may be a predictive biomarker for treatment response only in classical subtype GBM. Integrative analysis of genomic and proteomic profiles challenges the notion of therapeutic inhibition of a pathway as an alternative to inhibition of the target itself. These data will facilitate the discovery of therapeutic and diagnostic target candidates, the validation of research and clinical observations and the generation of unanticipated hypotheses that can advance our molecular understanding of this lethal cancer.