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Peptides represent a promising modality for the design of novel therapeutics that can potentially modulate traditionally non-druggable targets. Cell-penetrating peptides (CPPs) and antimicrobial peptides (AMPs) are two large families that are being explored extensively as drug delivery vehicles, imaging reagents, or therapeutic treatments for various diseases. Many CPPs and AMPs are cationic among which a significant portion is extremely basic and hydrophilic (e.g., nona-arginine). Despite their attractive therapeutic potential, it remains challenging to directly analyze and quantify these super cationic peptides from biological matrices due to their poor chromatographic behavior and MS response. Herein, we describe a generic method that combines solid phase extraction and LC-MS/MS for analysis of these peptides. As demonstrated, using a dozen strongly basic peptides, low μM concentration of perfluoropentanoic acid (PFPeA) in the mobile phase enabled excellent compound chromatographic retention, thus avoiding co-elution with solvent front ion suppressants. PFPeA also had a charge reduction effect that allowed the selection of parent/ion fragment pairs in the higher m/z region to further reduce potential low molecular weight interferences. When the method was coupled to the optimized sample extraction process, we routinely achieved low digit ng/ml sensitivity for peptides in plasma/tissue. The method allowed an efficient evaluation of plasma stability of CPPs/AMPs without fluorescence derivatization or other tagging methods. Importantly, using the widely studied HIV-TAT CPP as an example, the method enabled us to directly assess its pharmacokinetics and tissue distribution in preclinical animal models. [ABSTRACT FROM AUTHOR]

Stromal cell-derived factor 1α (SDF-1α) or CXCL12 is a small pro-inflammatory chemoattractant cytokine and a substrate of dipeptidyl peptidase IV (DPP-IV). Proteolytic cleavage by DPP-IV inactivates SDF-1α and attenuates its interaction with CXCR4, its cell surface receptor. To enable investigation of suppression of such inactivation with pharmacologic inhibition of DPP-IV, we developed quantitative mass spectrometric methods that differentiate intact SDF-1α from its inactive form. Using top-down strategy in quantification, we demonstrated the unique advantage of keeping SDF-1α's two disulfide bridges intact in the analysis. To achieve the optimal sensitivity required for quantification of intact and truncated SDF-1α at endogenous levels in blood, we coupled nano-flow tandem mass spectrometry with antibody-based affinity enrichment. The assay has a quantitative range of 20 pmol/L to 20 nmol/L in human plasma as well as in rhesus monkey plasma. With only slight modification, the same assay can be used to quantify SDF-1α in mice. Using two in vivo animal studies as examples, we demonstrated that it was critical to differentiate intact SDF-1α from its truncated form in the analysis of biomarkers for pharmacologic inhibition of DPP-IV activity. These novel methods enable translational research on suppression of SDF-1 inactivation with DPP-IV inhibition and can be applied to relevant clinical samples in the future to yield new insights on change of SDF-1α levels in disease settings and in response to therapeutic interventions. [Figure not available: see fulltext.] [ABSTRACT FROM AUTHOR]

The ongoing scaling of semiconductor technology is causing severe increase of on-chip power density and temperature in microprocessors. This urgently requires both power and thermal management during system design. In this paper, we propose a model checking-based technique using extended timed automata to solve the processor frequency assignment problem in a temperature and energy-constrained multitasking system. We also develop a polynomial time-approximation algorithm to address the state-space explosion problem caused by symbolic model checker. Our approximation scheme is guaranteed to not generate any false-positive answer, while it may return false-negative answer in rare cases. Our method is universally applicable since it is independent of any system and task characteristics. Experimental results demonstrate the usefulness of our approach. [ABSTRACT FROM AUTHOR]

There is a well-recognized but unmet need for biological markers to characterize disease type, status, progression, and response to therapy in autoimmune diseases. We are developing and applying an integrated bioanalytical platform and clinical research program to facilitate comprehensive differential phenotyping of patient samples and enable the discovery of biomarkers. Our measurement platform includes microvolume laser scanning cytometry for the quantification of hundreds of cellular parameters in whole blood and other samples, liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry for the quantification of proteins and low molecular weight biomolecules in serum and other fluids or tissues, and specific immunoassays for the quantification of trace proteins in serum. We describe the technologies and discuss initial applications to the analysis of subjects with rheumatoid arthritis (RA) and healthy controls. [Copyright &y& Elsevier]

Focuses on a study which created a combinatorial library of protein sequences de novo to probe the relationship between amino acid sequence and the propensity to form amyloid. Methodology; Design of sequences; Biochemical and structural characterization of de novo amyloid proteins; Amyloidogenic propensity of alternating polar/nonpolar patterns.

Lipids are structurally diverse molecules that play a pivotal role in a plethora of biological processes. However, deciphering the biological roles of the specific lipids is challenging due to the existence of numerous isomers. This high chemical complexity of the lipidome is one of the major challenges in lipidomics research, as the traditional liquid chromatography–mass spectrometry (LC-MS) based approaches are often not powerful enough to resolve these isomeric and isobaric nuances within complex samples. Thus, lipids are uniquely suited to the benefits provided by multidimensional liquid chromatography–ion mobility–mass spectrometry (LC-IM-MS) analysis. However, many forms of lipid isomerism, including double-bond positional isomers and regioisomers, are structurally similar such that their collision cross section (CCS) differences are unresolvable via conventional IM approaches. Here we evaluate the performance of a high resolution ion mobility (HRIM) system based on structures for lossless ion manipulation (SLIM) technology interfaced to a high resolution quadrupole time-of-flight (QTOF) analyzer to address the noted lipidomic isomerism challenge. SLIM implements the traveling wave ion mobility technique along an ∼13 m ion path, providing longer path lengths to enable improved separation of isomeric features. We demonstrate the power of HRIM-MS to dissect isomeric PC standards differing only in double bond (DB) and stereospecific number (SN) positions. The partial separation of protonated DB isomers is significantly enhanced when they are analyzed as metal adducts. For sodium adducts, we achieve close to baseline separation of three different PC 18:1/18:1 isomers with different cis-double bond locations. Similarly, PC 18:1/18:1 (cis-9) can be resolved from the corresponding PC 18:1/18:1 (trans-9) form. The separation capacity is further enhanced when using silver ion doping, enabling the baseline separation of regioisomers that cannot be resolved when measured as sodium adducts. The sensitivity and reproducibility of the approach were assessed, and the performance for more complex mixtures was benchmarked by identifying PC isomers in total brain and liver lipid extracts. [ABSTRACT FROM AUTHOR]

Methods for detecting mycotoxins are very important because of the great health hazards of mycotoxins. However, there is a high background and low signal-to-noise ratio in real-time sensing, and therefore it is difficult to meet the fast, accurate, and convenient requirements for control of food quality. Here we constructed a quantitative fluorescence image analysis based on multicolor upconversion nanocrystal (UCN)-encoded microspheres for detection of ochratoxin A and zearalenone. The background-free encoding image signal of UCN-doped microspheres was captured by fluorescence microscopy under near-infrared excitation, whereas the detection image signal of phycoerythrin-labeled secondary antibodies conjugated to the microspheres was captured under blue light excitation. We custom-wrote an algorithm to analyze the two images for the same sample in 10 s, and only the gray value in the red channel of the secondary probe confirmed the quantity. The results showed that this novel detection platform performed feasible and reliable fluorescence image measurements by this method. Additionally, the limit of detection of was 0.34721 ng/mL for ochratoxin A and 0.41162 ng/mL for zearalenone. We envision that this UCN encoding strategy will be usefully applied for fast, accurate, and convenient testing of multiple food contaminants to ensure the safety of the food. [ABSTRACT FROM AUTHOR]

Studies have shown that some peptides and small molecules can induce non IgE-mediated anaphylactoid reactions through mast cell activation. Upon activation, mast cells degranulate and release vasoactive and proinflammatory mediators, from cytoplasmic granules into the extracellular environment which can induce a cascade of severe adverse reactions. This study describes a lead optimization strategy to select NaV1.7 inhibitor peptides that minimize acute mast cell degranulation (MCD) toxicities. Various in vitro, in vivo, and PKPD models were used to screen candidates and guide peptide chemical modifications to mitigate this risk. Anesthetized rats dosed with peptides demonstrated treatment-related decreases in blood pressure and increases in plasma histamine concentrations which were reversible with a mast cell stabilizer, supporting the MCD mechanism. In vitro testing in rat mast cells with NaV1.7 peptides demonstrated a concentration-dependent increase in histamine. Pharmacodynamic modeling facilitated establishing an in vitro to in vivo correlation for histamine as a biomarker for blood pressure decline via the MCD mechanism. These models enabled assessment of structure-activity relationship (SAR) to identify substructures that contribute to peptide-mediated MCD. Peptides with hydrophobic and cationic characteristics were determined to have an elevated risk for MCD, which could be reduced or avoided by incorporating anionic residues into the protoxin II scaffold. Our analyses support that in vitro MCD assessment in combination with PKPD modeling can guide SAR to improve peptide lead optimization and ensure an acceptable early in vivo tolerability profile with reduced resources, cycle time, and animal use. [ABSTRACT FROM AUTHOR]

UV resonance Raman bands of Cu-bound and protonated histidine residues have been detected in 2H2O solutions of poplar plastocyanin. For the Cu(II) protein, slow NH–2H exchange of the His37 ligand was monitored via the growth of bands at 1389 and 1344 cm−1 when Pcy was exchanged into 2H2O, or via their diminution when the protein was exchanged back into H2O; the rate constant is 7×10−4/s at pH (p2H) 7.4 at room temperature. The slow exchange is attributed to imidazole H-bonding to a backbone carbonyl. Nearby bands at 1397 and 1354 cm−1, appear and disappear within the mixing time, and are assigned to the solvent-exposed His87 ligand. The ∼10 cm−1 differences between His37 and His87 are attributed to the effect of H-bonding on the imidazole ring modes. The UVRR spectra of the Cu(I) protein in 2H2O reveal a 1408 cm−1 band, characteristic of NH–2H-exchanged histidinium, which grows in as the p2H is lowered. Its intensity follows a titration curve with pKa=4.6. This protonation is assigned to the His87 residue, whose bond to the Cu(I) is known from crystallography to be broken at low pH. As the 1408 cm−1 band grows, a band at 1345 cm−1 diminishes, while another, at 1337 cm−1 stays constant. These are assigned to modes of bound His87 and His37, respectively, shifted down 7–9 cm−1 from their Cu(II) positions. [ABSTRACT FROM AUTHOR]

Abstract Ginger (Zingiber officinale Roscoe), one of the most economically valuable plants in the Zingiberaceae family, is widely used as a spice and flavoring agent for beverages, bakery, confectionary, and pharmaceutics. Bacterial wilt disease, caused by Ralstonia solanacearum , is one of the most detrimental production constraints in ginger cultivation. Field cultivation experiments indicated that soil moisture affects the incidence of bacterial wilt disease. However, the relationship between soil moisture and bacterial wilt incidence as well as the mechanism that underlie this infection remain unclear. This study confirms that high soil moisture elevates the susceptibility to R. solanacearum infection; transcriptome sequencing was performed to elucidate the underlying mechanisms. Differential expression indicates that a small number of genes is involved in both the response to high soil moisture as well as post successful R. solanacearum infection; furthermore, a large number of genes is involved in the defense of the infection. In response to high soil moisture, higher ABA contents, and higher expression levels of ABF4 may be related to higher tiller density in ginger. More importantly, WAK16 and WAK3-2 may be determinative genes that weaken the resistance to R. solanacearum in ginger under high soil moisture. The down-regulated expression levels of PRX , CPY , and XET genes indicate that in response to successful R. solanacearum infection, the normal cell wall metabolism may be disturbed and the hypersensitive response may be inhibited. In summary, our study deepens our understanding of the molecular mechanisms of the soil moisture dependent wilt susceptibility of ginger. Graphical abstract Image 1 Highlights • High soil moisture elevates ginger susceptibility to R. solanacearum. • Comparative transcriptome analysis was performed under low and high soil moistures • High ABA and ABF4 related to high tiller density of ginger under high soil moisture. • WAK16 and WAK3-2 may weaken the resistance of ginger to R. solanacearum. • Low PRX, CPY, and XET showed cell wall metabolism was disturbed after infection. [ABSTRACT FROM AUTHOR]

Objective: Antihyperglycemic agents, such as empagliflozin, stimulate proximal tubular natriuresis and improve cardiovascular and renal outcomes in patients with type 2 diabetes. Because dipeptidyl peptidase 4 (DPP-4) inhibitors are used in combination with sodium-glucose cotransporter 2 (SGLT2) inhibitors, we examined whether and how sitagliptin modulates fractional sodium excretion and renal and systemic hemodynamic function.Research Design and Methods: We studied 32 patients with type 2 diabetes in a prospective, double-blind, randomized, placebo-controlled trial. Measurements of renal tubular function and renal and systemic hemodynamics were obtained at baseline, then hourly after one dose of sitagliptin or placebo, and repeated at 1 month. Fractional excretion of sodium and lithium and renal hemodynamic function were measured during clamped euglycemia. Systemic hemodynamics were measured using noninvasive cardiac output monitoring, and plasma levels of intact versus cleaved stromal cell-derived factor (SDF)-1α were quantified using immunoaffinity and tandem mass spectrometry.Results: Sitagliptin did not change fractional lithium excretion but significantly increased total fractional sodium excretion (1.32 ± 0.5 to 1.80 ± 0.01% vs. 2.15 ± 0.6 vs. 2.02 ± 1.0%, P = 0.012) compared with placebo after 1 month of treatment. Moreover, sitagliptin robustly increased intact plasma SDF-1α1-67 and decreased truncated plasma SDF-1α3-67. Renal hemodynamic function, systemic blood pressure, cardiac output, stroke volume, and total peripheral resistance were not adversely affected by sitagliptin.Conclusions: DPP-4 inhibition promotes a distal tubular natriuresis in conjunction with increased levels of intact SDF-1α1-67. Because of the distal location of the natriuretic effect, DPP-4 inhibition does not affect tubuloglomerular feedback or impair renal hemodynamic function, findings relevant to using DPP-4 inhibitors for treating type 2 diabetes. [ABSTRACT FROM AUTHOR]

A correction to the article "Dipeptidyl Peptidase 4 Inhibition Stimulates Distal Tubular Natriuresis and Increases in Circulating SDF-1α1-67 in Patients With Type 2 Diabetes" that was published in a 2017 issue of "Diabetes" is presented.