Chemotherapy is still a main option for cancer therapy, but its efficacy is often unsatisfying due to multidrug resistance (MDR). The tumor microenvironment is considered a dominant factor causing MDR. Stimuli-responsive nanomedicines exhibit many superiorities for reversal of MDR. As smart systems, stimuli-responsive nanomedicines are desirable for achieving site-specific accumulation and triggered drug release in response to slight changes in physicochemical properties in pathological conditions or to exogenous stimuli. In this review, we highlight the current progress of various nanomedicines with different stimuli-responsive capabilities for overcoming MDR. The materials, design, construction as well as efficacy in overcoming MDR of these nanomedicines are discussed. Eventually, we look forward to forthcoming intelligent nanoparticle systems with new mechanisms to deliver drugs for practical applications in conquering cancer MDR.

A peptide-conjugated poly(β-amino ester) that self-assembles into micelle-like nanoparticles is prepared by a convenient and modular supramolecular approach. The polymer-beclin-1 (P-Bec1) nanoparticles display enhanced cytotoxicity to breast cancer cells through induction of autophagy. This approach overcomes two major limitations of the haploinsufficient tumor suppressor Bec1 compared to small-molecule drugs: poor delivery to tumors owing to enzymatic degradation, and unstable, non-specific bio-distribution and targeting in the tumor tissues.

Liquid chromatography (LC)/mass spectrometry (MS) in selected-reactions-monitoring (SRM) mode provides a powerful tool for targeted protein quantification. However, efficient, high-throughput strategies for proper selection of signature peptides (SP) for protein quantification and accurate optimization of their SRM conditions remain elusive. Here we describe an on-the-fly, orthogonal array optimization (OAO) approach that enables rapid, comprehensive, and reproducible SRM optimization of a large number of candidate peptides in a single nanoflow-LC/MS run. With the optimized conditions, many peptide candidates can be evaluated in biological matrices for selection of the final SP. The OAO strategy employs a systematic experimental design that strategically varies product ions, de-clustering energy and collision energy in a cycle of 25 consecutive SRM trials, which accurately reveals the effects of these factors on the single-to-noise ratio of a candidate peptide, and optimizes each. As proof of concept, we developed a highly sensitive, accurate, and reproducible method for the quantification of carbonyl reductases CBR1 and CBR3 in human liver. Candidate peptides were identified by nano-LC/LTQ/Orbitrap, filtered using a stringent set of criteria, and subjected to OAO. After evaluating both sensitivity and stability of the candidates, two SP were selected for quantification of each protein. As a result of the accurate OAO of assay conditions, sensitivities of 80 and 110 amol were achieved for CBR1 and CBR3, respectively. The method was validated and used to quantify the CBRs in 33 human liver samples. The mean level of CBR1 was 93.4±49.7 (range: 26.2–241) ppm of total protein, and for CBR3 was 7.69±4.38 (range: 1.26–17.9) ppm. Key observations of this study are that: i) evaluation of peptide stability in the target matrix is essential for final selection of the SP; ii) utilization of two unique SP contributes to high reliability of target protein quantification; and iii) it is beneficial to construct calibration curves using standard proteins of verified concentrations to avoid severe biases that may result if synthesized peptides alone are used. Overall, the OAO method is versatile and adaptable to high-throughput quantification of validated biomarkers identified by proteomic discovery experiments.

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The amalgamation of South (SCB) and North China Blocks (NCB) along the Qinling-Dabie orogenic belt involved several stages of high pressure (HP)-ultra high pressure (UHP) metamorphism. The new discovery of UHP metamorphic rocks in the North Qinling (NQ) terrane can provide valuable information on this process. However, no precise age for the UHP metamorphism in the NQ terrane has been documented yet, and thus hinders deciphering of the evolution of the whole Qinling-Dabie-Sulu orogenic belt. This article reports an integrated study of U-Pb age, trace element, mineral inclusion and Hf isotope composition of zircon from an eclogite, a quartz vein and a schist in the NQ terrane. The zircon cores in the eclogite are characterized by oscillatory zoning or weak zoning, high Th ⁄ U and 176 Lu ⁄ 177 Hf ratios, pronounced Eu anomalies and steep heavy rare earth element (HREE) patterns. The zircon cores yield an age of 796 ± 13 Ma, which is taken as the protolith formation age of the eclogite, and implies that the NQ terrane may belong to the SCB before it collided with the NCB. The e Hf (t) values vary from )11.3 to 3.2 and corresponding two-stage Hf model ages are 2402 to 1495 Ma, suggesting the protolith was derived from an enriched mantle. In contrast, the metamorphic zircon rims show no zoning or weak zoning, very low Th ⁄ U and 176 Lu ⁄ 177 Hf ratios, insignificant Eu anomalies and flat HREE patterns. They contain inclusions of garnet, omphacite and phengite, suggesting that the metamorphic zircon formed under eclogite facies metamorphic conditions, and their weighted mean 206 Pb ⁄ 238 U age of 485.9 ± 3.8 Ma was interpreted to date the timing of the eclogite facies metamorphism. Zircon in the quartz vein is characterized by perfect euhedral habit, some oscillatory zoning, low Th ⁄ U ratios and variable HREE contents. It yields a weighted mean U-Pb age of 480.5 ± 2.5 Ma, which registers the age of fluid activity during exhumation. Zircon in the schist is mostly detrital and U-Pb age peaks at c. 1950 to 1850, 1800 to 1600, 1560 to 1460 and 1400 to 1260 Ma with an oldest grain of 2517 Ma, also suggesting that the NQ terrane may have an affinity to the SCB. Accordingly, the amalgamation between the SCB and the NCB is a multistage process that spans c. 300 Myr, which includes: the formation of the Erlangping intra-oceanic arc zone onto the NCB before c. 490 Ma, the c. 485 Ma crustal subduction and UHP metamorphism of the NQ terrane, the c. 430 Ma arc-continent collision and granulite facies metamorphism, the 420 to 400 Ma extension and rifting in relation to the opening of the Palaeo-Tethyan ocean, the c. 310 Ma HP eclogite facies metamorphism of oceanic crust and associated continental basement, and the final 250 to 220 Ma continental subduction and HP-UHP metamorphism.

No abstract

The capacity for quantification of active metabolites of vitamin D (VitD) is highly valuable to evaluate the risks and therapies for numerous diseases such as multiple sclerosis. However, the extremely low circulating levels and poor detectability of some dihydroxyl metabolites such as the 1alpha,25-dihydroxy-VitD(3) constitute a daunting challenge. Based on the combination of a selective solid-phase extraction (SPE) and a microflow liquid chromatography tandem mass spectrometry (microLC-MS/MS), we developed an ultrasensitive method for the robust, selective, and accurate quantification of four key VitD metabolites, including 25-hydroxy-VitD(2), 25-hydroxy-VitD(3), 24(R),25-dihydroxy-VitD(3), and 1alpha,25-dihydroxy-VitD(3), in serum samples. A one-step derivatization was employed to improve the ionization efficiency of the metabolites. The SPE procedure was optimized so that the analytes were selectively extracted from serum, while the sample matrix was substantially simplified. By eliminating majority of undesirable compounds from the matrix, the selective SPE enabled a high sample loading volume on the microLC column without causing overcapacity of the microLC column and thus helped to achieve ultralow detect limits in serum. An on-column sample focusing approach was employed to prevent band-broadening, and a sufficient microLC separation was achieved to eliminate endogenous interferences and to minimize ion suppression effect. Detect limits of the four metabolites ranged from 0.5-1 pg/mL, and the linearity was excellent for all compounds. The method showed high quantitative accuracy (error < 13.8%) and precision (CV < 14.1%). For 1alpha,25-dihydroxy-VitD(3), a lower limit of quantification (LLOQ) of 5 pg/mL was validated. This high level of sensitivity, for the first time, enabled the robust and consistent LC/MS/MS-based analysis of the four metabolites in a large-scale clinical investigation. Serum samples from 281 multiple sclerosis patients and 22 healthy subjects were analyzed, and it was discovered that the levels of both 24(R),25-dihydroxy-VitD(3) and 1alpha,25-dihydroxy-VitD(3) were significantly lower in patients than healthy subjects (P < 0.05). This novel observation may imply that the incidence of multiple sclerosis is inversely associated with the levels of the two metabolites. Moreover, the method was highly robust and reproducible as evaluated extensively in the clinical analysis; therefore, it could serve as a more selective and accurate alternative to immunoassay for large-scale clinical studies.

Protein arginine (Arg) methylation serves an important functional role in eukaryotic cells, and typically occurs in domains consisting of multiple Arg in close proximity. Localization of methylarginine (MA) within Arg-rich domains poses a challenge for mass spectrometry (MS)-based methods; the peptides are highly-charged under electrospray ionization (ESI), which limits the number of sequence-informative products produced by collision induced dissociation (CID), and loss of the labile methylation moieties during CID precludes effective fragmentation of the peptide backbone. Here the fragmentation behavior of Arg-rich peptides was investigated comprehensively using electron transfer dissociation (ETD) and CID for both methylated and unmodified glycine-/Arg-rich peptides (GAR), derived from residues 679-695 of human nucleolin, which contains methylation motifs that are widely-represented in biological systems. ETD produced abundant information for sequencing and MA localization, whereas CID failed to provide credible identification for any available charge state (z=2-4). Nevertheless, CID produced characteristic neutral losses that can be employed to distinguish among different types of MA, as suggested by previous works and confirmed here with product ion scans of high accuracy/resolution by an LTQ/Orbitrap. To analyze MA-peptides in relatively complex mixtures, a method was developed that employs nano-LC coupled to alternating CID/ETD for peptide sequencing and MA localization/characterization, and an Orbitrap for accurate precursor measurement and relative quantification of MA-peptide stoichiometries. As proof of concept, GAR-peptides methylated in vitro by protein arginine N-methyltransferases PRMT1 and PRMT7 were analyzed. It was observed that PRMT1 generated a number of monomethylated (MMA) and asymmetric-dimethylated peptides, while PRMT7 produced predominantly MMA peptides and some symmetric-dimethylated peptides. This approach and the results may advance understanding of the actions of PRMTs and the functional significance of Arg methylation patterns.