Evaluation of multi-solvent size exclusion chromatography columns packed with sub-2 µm particles for the characterization of synthetic polymers.

With the recent development of small particle stationary-phases and dedicated instrumentation, the combination of size-exclusion chromatography (SEC) with ultra-high performance liquid chromatography (UHPLC) technology has been realized. It opened up a new polymer analysis technique called UHP-SEC. Although high resolution and fast analysis can be achieved, the multi-solvent suitability for a given column was limited to either organic or aqueous eluents. In this work, the capability of novel SEC columns (AdvanceBio SEC columns) packed with 1.9 µm particles for the characterization of synthetic polymers in organic solvents as well as the multi-solvent compatibility for organic and aqueous eluents have been demonstrated. About six times faster separation for both polystyrene (PS) and polyethylene glycol (PEG) with good peak shape and repeatability were achieved in comparison with standard SEC columns at comparable resolution. Especially for PEG, in contrast to other SEC columns, this column could provide close-to-accurate determination of molecular weights with tetrahydrofuran (THF) as mobile phase. Good reproducibility was obtained after switching several times from water to THF and vice versa with RSD% in retention times less than 0.5 %. Different samples such as polyols, isocyanates and additives can also be analyzed for molecular weight and distribution or composition determination. Volume overload, especially with injection volumes higher than 10 µL needs to be considered. This new column offers a powerful choice for oligomer and polymer analysis with both aqueous and organic mobile phase. Ultimately, hyphenating SEC columns to various detectors can enable more information regarding chemical composition, molecular weight, concentration, and structure.

Facile one-step solvothermal synthesis of a luminescent europium metal-organic framework for rapid and selective sensing of uranyl ions.

A simple, cost-effective, and portable uranium sensory material with adequate selectivity is increasingly urgent and would be of great importance in environmental monitoring of radionuclides. Herein, we report a novel luminescent europium metal-organic framework (Eu-MOF) with plenty of Lewis basic sites for binding uranyl ions (UO22+), the most common form of uranium in solution, through a facile one-step solvothermal synthetic route. The mesoporous structure consists of europium nodes and flexible nitrogen-containing ligands with a 29.2 × 20.5 Å2 channel along the c-axis. Furthermore, the obtained material displays characteristic fluorescence of trivalent Eu3+ and could be applied as a turn-off sensory probe targeting UO22+ in solution. Differential fluorescent quenching occurred upon a series of potential interfering ions compared to UO22+ and the detection limit as low as 0.9 µM was achieved with a rapid response. Graphical abstract.

Lipid metabolism in mouse embryonic fibroblast cells in response to autophagy induced by nutrient stress.

Autophagy is of great significance in maintaining cellular homeostasis. Aberrant autophagy has been reported to contribute to the disease aetiology of metabolic syndrome, especially several key lysosomal storage disorders. However, the molecular mechanisms and the correlation between autophagy and lipid metabolism remains unclear. This study was designed and aimed to reveal the alteration of lipid metabolism in response to the autophagy induced by nutrient stress to give new insights into the molecular mechanisms between autophagy and lipid metabolism. An online normal-phase/reversed-phase two-dimensional liquid chromatography-mass spectrometry (NP/RP 2D LC-MS) method was developed to perform the lipidomics analysis of Atg7-/- mouse embryonic fibroblast cells (MEFs) and wild-type MEFs under nutrient stress. 48 and 35 lipid species in wild-type and Atg7-/- MEFs respectively finally meet the screening criteria with p-value less than 0.05 and fold change more than 1.5 in response to nutrient stress. Their alterations indicated that autophagy participated lipid metabolism to generate energy and form autophagosomes with significantly increased free fatty acids and glycerophospholipids, which protected wild-type MEFs from serious damages and delayed cell death. However, in Atg7-/- MEFs, due to the inhibition of autophagy, lipids were continuously consumed and cells suffered from damages even death. These results illustrated the close relationship between autophagy and lipid metabolism comprehensively and revealed diverse lipid targets for the investigation of autophagy.

Metal-organic frameworks induce autophagy in mouse embryonic fibroblast cells.

Autophagy is the lysosomal-dependent degradation process of intracellular substances in adaptation to environmental or developmental changes. It plays an essential role in maintaining cellular homeostasis while its dysfunction is involved in various human diseases. The regulation of autophagy has attracted more and more attention with the promise for improving treatment of diseases as a potential therapeutic target. Metal-organic frameworks (MOFs), as emerging biomaterials, have been investigated in the biological and biomedical fields in recent years. Therefore, it is interesting and significant to study the effects of MOFs on living cells from safety aspects as well as the therapeutic viewpoint, especially their effects on autophagy which have not been reported yet. In this study, the effects of Fe-MIL-101_NH2 on mouse embryonic fibroblasts (MEFs) were investigated and the potential applications of these nanoparticles in the regulation of autophagy were explored. Our results demonstrated that Fe-MIL-101_NH2 induced cytoprotective autophagy in MEFs instead of cytotoxicity. The activation of autophagy kept reactive oxygen species from accumulating, which protected MEFs from apoptosis. Further exploration of the possible mechanisms of MOF-induced autophagy revealed that the inhibition of mTOR pathway as well as the enhancement of Becline1 and Atg5 contributed to autophagy induction. Our study uncovered the autophagic effects and mechanistic insights of MOFs, which will be beneficial and meaningful to the safety evaluation and the reasonable and effective usage of MOFs.

A plasma lipidomics strategy reveals perturbed lipid metabolic pathways and potential lipid biomarkers of human colorectal cancer.

To explore underlying molecular mechanisms and identify novel lipid biomarkers promising for colorectal cancer (CRC) diagnosis, a continuous-flow two dimensional liquid chromatography-quadrupole time-of-flight mass spectrometry (2D LC-QToF/MS) method was employed to comprehensively measure lipid species in human plasma of CRC patients and healthy controls. With a total of 427 annotated lipid species, we identified 64 lipid species with corrected p value less than 0.05 and fold change more than 1.5. These significantly altered lipid species were mainly involved in glycerolipids and glycerophospholipids metabolism and sphingolipids metabolism. After the diagnosis ability evaluation based on the receiver operating characteristic (ROC) curve, phosphatidylglycerol (34:0), sphingomyelin (42:2), ceramide (44:5), lysophosphatidylcholine (18:3), lysophosphatidylcholine (18:2), phosphatidylethanolamine (O-36:3), phosphatidylethanolamine (O-38:3) and sphingomyelin (38:8) were finally proposed as the potential biomarkers with the area under the curve (AUC) more than 0.900. These results suggest that this 2D LC-QToF/MS-based lipidomics profiling has great potential as a noninvasive diagnostic method in detecting CRC and hopefully provide new clues to understand its underlying mechanism.

Rapid and specific luminescence sensing of Cu(ii) ions with a porphyrinic metal-organic framework.

We herein present a porphyrinic metal-organic framework (MOF) as a highly sensitive fluorescent probe targeting Cu(ii) ions with a fast response. The well-isolated nature of porphyrin moieties within the framework greatly enable accessible recognition sites, which leads to an outstanding detection limit performance of 67 nM among MOF-based materials.

Cysteine-Functionalized Metal-Organic Framework: Facile Synthesis and High Efficient Enrichment of N-Linked Glycopeptides in Cell Lysate.

Cysteine-functionalized metal-organic framework (MOF) was synthesized via a common and facile two-step method of in situ loading of Au nanoparticles on amino-derived MOF followed by l-cysteine (Cys) immobilization. Owing to the large specific surface area and ultrahigh hydrophilicity of this nanocomposite, excellent performance was observed in the enrichment of N-linked glycopeptides in both model glycoprotein and HeLa cell lysate. By using this nanocomposite, 16 and 31 glycopeptides were efficiently extracted from digest of horseradish peroxidase (HRP) and human serum immunoglobulin G (IgG), respectively. The short incubation time (5 min), large binding capacity (150 mg/g, IgG digest to material), good selectivity (1:50, molar ratio of IgG and bovine serum albumin (BSA) digest), high recovery (over 80%), and low detection limit (1 fmol) ensure the effectiveness and robustness of MIL-101(NH2)@Au-Cys in complex HeLa cell lysate. As a result, 1123 N-glycosylation sites corresponding to 1069 N-glycopeptides and 614 N-glycoproteins were identified from the lysate. Compared with those of previously reported hydrophilic methods, to our knowledge, it was the best result. This work paves a new way for fast functionalization of MOF and also provides a novel idea for material design in sample preparation, especially in glycoproteome and related analysis.

Lipidomic analysis of plasma in patients with lacunar infarction using normal-phase/reversed-phase two-dimensional liquid chromatography-quadrupole time-of-flight mass spectrometry.

Stroke is a major cause of mortality and long-term disability worldwide. The study of biomarkers and pathogenesis is vital for early diagnosis and treatment of stroke. In the present study, a continuous-flow normal-phase/reversed-phase two-dimensional liquid chromatography-quadrupole time-of-flight mass spectrometry (NP/RP 2D LC-QToF/MS) method was employed to measure lipid species in human plasma, including healthy controls and lacunar infarction (LI) patients. As a result, 13 lipid species were demonstrated with significant difference between the two groups, and a "plasma biomarker model" including glucosylceramide (38:2), phosphatidylethanolamine (35:2), free fatty acid (16:1), and triacylglycerol (56:5) was finally established. This model was evaluated as an effective tool in that area under the receiver operating characteristic curve reached 1.000 in the discovery set and 0.947 in the validation set for diagnosing LI patients from healthy controls. Besides, the sensitivity and specificity of disease diagnosis in validation set were 93.3% and 96.6% at the best cutoff value, respectively. This study demonstrates the promising potential of NP/RP 2D LC-QToF/MS-based lipidomics approach in finding bio-markers for disease diagnosis and providing special insights into the metabolism of stroke induced by small vessel disease. Graphical abstract Flow-chart of the plasma biomarker model establishment through biomarker screening and validation.

Distinct differences in serum eicosanoids in healthy, enteritis and colorectal cancer individuals.

BACKGROUND: Eicosanoids as inflammatory mediators take part in the regulation of disease progression. However, the application of serum eicosanoid in disease progression identification was still uncertain. METHODS: Serum from 52 healthy volunteers, 34 enteritis patients and 55 colorectal cancer (CRC) patients were collected. Ultra-high performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) was used to analyze the change of serum eicosanoids. RESULTS: Of 158 eicosanoids, we found that lower levels of anti-inflammatory eicosanoids 13-HOTrE, 9-HOTrE, DHA, 11-HETE and 12-HHT were observed in enteritis and CRC group compared with healthy group, meanwhile the content of 5-iPF2α-VI as oxidative stress mediator in enteritis and CRC group was greater than that in healthy groups. Moreover, 9-HODE, 13-HODE, 12,13-diHOME, 8-HETE and 15-HETE were dramatically decrease in CRC group compared with non-CRC group. Additionally, the change of 5-, 12- and 15-HETE content in serum sample was associated with progression from healthy to enteritis, finally to CRC. No significant difference between serum eicosanoids and the expression of CerbB-2 and Ki67 were observed. CONCLUSION: Serum eicosanoids might be used as a possible biomarker for identifying among health, enteritis and CRC.

Metabolomic Analysis of Mouse Embryonic Fibroblast Cells in Response to Autophagy Induced by Acute Starvation.

Autophagy-related protein 7 (Atg7) is essential in the formation of the autophagophore and is indispensable for autophagy induction. Autophagy will exist in lower level or even be blocked in cells without Atg7. Even though the possible signaling pathways of Atg7 have been proposed, the metabolomic responses under acute starvation in cells with and without Atg7 have not been elucidated. This study therefore was designed and aimed to reveal the metabolomics of Atg7-dependent autophagy through metabolomic analysis of Atg7-/- mouse embryonic fibroblast cells (MEFs) and wild-type MEFs along with the starvation time. 30 significantly altered metabolites were identified in response to nutrient stress, which were mainly associated with amino acid, energy, carbohydrate, and lipid metabolism. For the wild-type MEFs, the induction of autophagy protected cell survival with some up-regulated lipids during the first two hours' starvation, while the subsequent apoptosis resulted in the decrease of cell viability after four hours' starvation. For the Atg7-/- MEFs, apoptosis perhaps led to the deactivation of tricarboxylic acid (TCA) cycle due to the lack of autophagy, which resulted in the immediate drop of cellular viability under starvation. These results contributed to the metabolomic study and provided new insights into the mechanism associated with Atg7-dependent autophagy.

A Combined Experimental and Theoretical Study on the Extraction of Uranium by Amino-Derived Metal-Organic Frameworks through Post-Synthetic Strategy.

A novel carboxyl-functionalized metal-organic framework for highly efficient uranium sorption was prepared through a generic postsynthetic strategy, and this MOF's saturation sorption capacity is found to be as high as 314 mg·g-1. The preliminary application illustrated that the grafted free-standing carboxyl groups have notably enhanced the sorption of uranyl ions on MIL-101. In addition, we have performed molecular dynamics simulation combined with density functional theory calculations to investigate the molecular insights of uranyl ions binding on MOFs. The high selectivity and easy separation of the as-prepared material have shown tremendous potential for practical applications in the nuclear industry or radioactive water treatment, and the functionalized MOF can be extended readily upon the versatility of click chemistry. This work provides a facile and purposeful approach for developing MOFs toward a highly efficient and selective extraction of uranium(VI) in aqueous solution, and it further facilitates the structure-based design of nanomaterials for radionuclide-containing-medium pretreatment.

Lipid profiling of cyanobacteria Synechococcus sp. PCC 7002 using two-dimensional liquid chromatography with quadrupole time-of-flight mass spectrometry.

Glycerolipid is a main component of membranes in oxygenic photosynthetic organisms. Up to now, the majority of publication in this area has focused on the physiological functions of glycerolipids and lipoprotein complexes in photosynthesis, but the study on the separation and identification of glycerolipids in thylakoid membrane in cyanobacteria is relatively rare. Here we report a new method to separate and identify five photosynthetic glycerolipid classes, including monoglucosyl diacylglycerol, monogalactosyl diacylglycerol, digalactosyl diacylglycerol, sulfoquinovosyl diacylglycerol, and phosphatidylglycerol, in cyanobacteria Synechococcus sp. PCC 7002 by two-dimensional (normal- and reversed-phase) liquid chromatography online coupled to quadrupole time-of-flight mass spectrometry. Over twice as many lipid species were detected by our method compared to the previously reported methods. Ten new odd-chain fatty acid glycerolipids were discovered for the first time. Moreover, complete separation of isomers of monogalactosyl diacylglycerol and monoglucosyl diacylglycerol was achieved. According to the tandem mass spectrometry results, we found that the head group of monoglucosyl diacylglycerols was not as stable as that of monogalactosyl diacylglycerols, which might explain why the organism chose monogalactosyl diacylglycerols and digalactosyl diacylglycerols instead of monoglucosyl diacylglycerols as the main content of the photosynthetic membranes in the history of evolution. This work will benefit further research on the physiological function of glycerolipids.

Study on the interaction of uranyl with sulfated beta-cyclodextrin by affinity capillary electrophoresis and molecular dynamics simulation.

The study on sulfated beta-cyclodextrin binding to uranyl ion helps to get a better understanding of uranyl compounds' intermolecular interaction mechanism and facilitates the structure-based design of uranyl binding molecules. Here we investigated the electromigration of the inclusion complex by using affinity capillary electrophoresis in acidic solution. The binding constant was determined to be logK = 2.96 ± 0.02 (R2 = 0.996) through nonlinear regression approach. The possible configurations and structural features of the inclusion complex were further studied by molecular dynamics simulation. The results suggest the distinctions of coordination environment and hydration compared with bare uranyl ion in aqueous solution. Thus, two water oxygen atoms coordinated with uranyl in the first hydration shell at 2.55 angstrom instead of five in the same distance range. The binding free energy was calculated as -12.10 ± 1.46 kcal/mol by means of thermodynamic perturbation method. The negative value indicates that the process of S-ß-CD capture uranyl ion in the aqueous media is spontaneous.

Lipidomic profiling of tryptophan hydroxylase 2 knockout mice reveals novel lipid biomarkers associated with serotonin deficiency.

Serotonin is an important neurotransmitter that regulates a wide range of physiological, neuropsychological, and behavioral processes. Consequently, serotonin deficiency is involved in a wide variety of neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, schizophrenia, and depression. The pathophysiological mechanisms underlying serotonin deficiency, particularly from a lipidomics perspective, remain poorly understood. This study therefore aimed to identify novel lipid biomarkers associated with serotonin deficiency by lipidomic profiling of tryptophan hydroxylase 2 knockout (Tph2-/-) mice. Using a high-throughput normal-/reversed-phase two-dimensional liquid chromatography-quadrupole time-of-flight mass spectrometry (NP/RP 2D LC-QToF-MS) method, 59 lipid biomarkers encompassing glycerophospholipids (glycerophosphocholines, lysoglycerophosphocholines, glycerophosphoethanolamines, lysoglycerophosphoethanolamines glycerophosphoinositols, and lysoglycerophosphoinositols), sphingolipids (sphingomyelins, ceramides, galactosylceramides, glucosylceramides, and lactosylceramides) and free fatty acids were identified. Systemic oxidative stress in the Tph2-/- mice was significantly elevated, and a corresponding mechanism that relates the lipidomic findings has been proposed. In summary, this work provides preliminary findings that lipid metabolism is implicated in serotonin deficiency.

Recent advances in lipidomics for disease research.

Lipidomics is an important branch of metabolomics, which aims at the detailed analysis of lipid species and their multiple roles in the living system. In recent years, the development of various analytical methods for effective identification and characterization of lipids has greatly promoted the process of lipidomics. Meanwhile, as many diseases demonstrate a remarkable alteration in lipid profiles compared with that of healthy people, lipidomics has been extensively introduced to disease research. The comprehensive lipid profiling provides a chance to discover novel biomarkers for specific disease. In addition, it plays a crucial role in the study of lipid metabolism, which could illuminate the pathogenesis of diseases. In this review, after brief discussion of analytical methods for lipidomics in clinical research, we focus on the recent advances of lipidomics related to four types of diseases, including cancer, atherosclerosis, diabetes mellitus, and Alzheimer's disease.

Hydrazide functionalized monodispersed silica microspheres: a novel probe with tunable selectivity for a versatile enrichment of phosphopeptides with different numbers of phosphorylation sites in MS analysis.

Hydrazide functionalized monodispersed silica microspheres (HFMSM) were developed for the enrichment of phosphopeptides for the first time. With the aid of the tunable selectivity of HFMSM, global enrichment or fractionation of phosphopeptides with different numbers of phosphorylation sites could be realized by a simple modulation of the concentrations of formic acid in buffers.

Lipidomic analysis of p-chlorophenylalanine-treated mice using continuous-flow two-dimensional liquid chromatography/quadrupole time-of-flight mass spectrometry.

RATIONALE: Although serotonin deficiency is involved with various physiological disorders such as Alzheimer's disease, Parkinson's disease, schizophrenia and depression, the serotonin-dependent pathomechanisms remain poorly understood, particularly from a lipidomics perspective. METHODS: This study therefore aimed to identify novel lipid biomarkers associated with serotonin deficiency by lipid profiling of p-chlorophenylalanine (pCPA)-treated, serotonin-deficient mice using continuous-flow normal-phase/reversed-phase two-dimensional liquid chromatography/quadrupole time-of-flight mass spectrometry (NP/RP 2D LC/QTOFMS). Principal component analysis (PCA) was performed to distinguish significantly altered lipids between the pCPA-treated mice and control mice. RESULTS: Eighteen lipid biomarkers were associated with pCPA-induced serotonin deficiency. Specifically, lipid species of lysophosphatidylethanolamine (LPE), phosphatidylethanolamine (PE), sphingomyelin (SM), galactosylceramide (GalCer), glucotosylceramide (GluCer), lactosylceramide (LacCer) and triacylglycerol (TG) were down-regulated whereas glycerophosphocholine (PC) and phosphatidylinositol (PI) were up-regulated in the pCPA-treated mice compared with control mice. CONCLUSIONS: This work demonstrates the significant effects of serotonin deficiency on lipid metabolisms and will facilitate improved understanding of pathomechanisms in serotonin deficiency, particularly from a lipidomics perspective.

Metabolomics Approach Reveals Integrated Metabolic Network Associated with Serotonin Deficiency.

Serotonin is an important neurotransmitter that broadly participates in various biological processes. While serotonin deficiency has been associated with multiple pathological conditions such as depression, schizophrenia, Alzheimer's disease and Parkinson's disease, the serotonin-dependent mechanisms remain poorly understood. This study therefore aimed to identify novel biomarkers and metabolic pathways perturbed by serotonin deficiency using metabolomics approach in order to gain new metabolic insights into the serotonin deficiency-related molecular mechanisms. Serotonin deficiency was achieved through pharmacological inhibition of tryptophan hydroxylase (Tph) using p-chlorophenylalanine (pCPA) or genetic knockout of the neuronal specific Tph2 isoform. This dual approach improved specificity for the serotonin deficiency-associated biomarkers while minimizing nonspecific effects of pCPA treatment or Tph2 knockout (Tph2-/-). Non-targeted metabolic profiling and a targeted pCPA dose-response study identified 21 biomarkers in the pCPA-treated mice while 17 metabolites in the Tph2-/- mice were found to be significantly altered compared with the control mice. These newly identified biomarkers were associated with amino acid, energy, purine, lipid and gut microflora metabolisms. Oxidative stress was also found to be significantly increased in the serotonin deficient mice. These new biomarkers and the overall metabolic pathways may provide new understanding for the serotonin deficiency-associated mechanisms under multiple pathological states.