Metabolomics is a powerful tool for understanding phenotypes and discovering biomarkers. Combinations of multiple batches or data sets in large cross-sectional epidemiology studies are frequently utilized metabolomics, but various systematic biases can introduce both batch injection order effects often require proper calibrations prior to chemometric analyses. We present novel algorithm, Batch Normalizer, calibrate scale metabolomic data. Normalizer utilizes regression model with...

With the help of micro-electromechanical systems (MEMS) and complementary metal-oxide-semiconductor (CMOS) technology, a portable micro gas chromatography (μGC) system for lung cancer associated volatile organic compounds (VOCs) detection is realized first time. The composed an MEMS preconcentrator, separation column, CMOS system-on-chip (SoC). preconcentrator provides concentration ratio 2170. column can separate more than seven types VOCs. SoC fabricated by TSMC 0.35 μm 2P4M process...

Abstract Breathomics is a special branch of metabolomics that quantifies volatile organic compounds (VOCs) from collected exhaled breath samples. Understanding how molecules are related to diseases, mechanisms and pathways identified experimental analytical measurements challenging due the lack an organized resource describing molecules, references biomedical information embedded in literature. To provide VOCs, information, we aim organize database composed manually curated automatically...

Abstract Fibromyalgia syndrome (FM) is a multifactorial disorder whose pathogenesis and diagnosis are poorly understood. This study investigated differential serum proteome profiles in patients with FM healthy pain-free controls explored the association between clinical FM. Twenty (according to American College of Rheumatology criteria, 2010) 20 were recruited for optimized quantitative proteomics analysis. The levels pain, pressure pain threshold, sleep, anxiety, depression, functional...

The pathophysiology of sarcopenia is complex and multifactorial has not been fully elucidated. impact resistance training nutritional support (RTNS) on metabolomics lipodomics in older adults with remains uncertain. This study aimed to explore potential biomarkers clinical indicators RTNS sarcopenic adults.

Fatty liver is significantly associated with hepatic cirrhosis and cancer. Excessive alcohol consumption causes alcoholic fatty disease (AFLD). Ginger has been reported to exhibit antioxidant potential hepatoprotective activity. In the present study, a mouse model for AFLD was developed by employing male C57BL/6 mice that were fed an alcohol-containing liquid diet (Lieber–DeCarli diet) ad libitum. treatment groups, ginger essential oil (GEO) citral orally administered every day 4 weeks....

The complex composition of welding fumes, multiplicity molecular targets, diverse cellular effects, and lifestyles associated with laborers vastly complicate the assessment fume exposure. urinary metabolomic profiles 35 male welders 16 office workers at a Taiwanese shipyard were characterized via (1)H NMR spectroscopy pattern recognition methods. Blood samples for same 51 individuals also collected, expression levels cytokines other inflammatory markers examined. This study dichotomized...

In this paper, a network-partitioning approach for one-to-all broadcasting on wormhole-routed networks is proposed. To broadcast message, the scheme works in three phases. First, number of data-distributing (DDNs), which can work independently, are constructed. Then message evenly divided into submessages, each being sent to representative node one DDN. Second, submessages DDNs concurrently. Finally, data-collecting (DCNs), independently too, Then, concurrently DCN, collected and combined...

Misdiagnosis of autoimmune pancreatitis (AIP) as pancreatic cancer (PDAC) or vice versa can cause dismal patents' outcomes. Changes in IgG glycosylation are associated with cancers and diseases. This study investigated the profiles diagnostic prognostic biomarkers PDAC AIP.Serum IgG-glycosylation from 86 AIP patients, 115 57 controls were analyzed using liquid chromatography-electrospray ionization mass spectrometry. Classification regression tree (CART) analysis was applied to build a...

Liquid Chromatography-Time of Flight Mass Spectrometry has become an important technique for toxicological screening and metabolomics. We describe TIPick a novel algorithm that accurately sensitively detects target compounds in biological samples. comprises two main steps: background subtraction peak picking. By subtracting blank chromatogram, eliminates chemical signals injections reduces false positive results. peaks by calculating the S(CC(INI)) values extracted ion chromatograms (EICs)...

Able to detect known and unknown metabolites, untargeted metabolomics has shown great potential in identifying novel biomarkers. However, elucidating all possible liquid chromatography/time-of-flight mass spectrometry (LC/TOF-MS) ion signals a complex biological sample remains challenging since many ions are not the products of metabolites. Methods reducing related metabolites or simply directly detecting metabolite (pure) important. In this work, we describe PITracer, algorithm that...

Dried blood spots (DBSs) have gained increasing attention recently with their growing importance in precision medicine. DBS-based metabolomics analysis provides a powerful tool for investigating new biomarkers. Until now, very few studies discussed measures improving analytical accuracy the consideration of special characteristics DBSs. The present study proposed postcolumn infused-internal standard (PCI-IS) assisted strategy to improve data quality studies. An efficient sample preparation...

Colistin-induced nephrotoxicity prolongs hospitalization and increases mortality. The study aimed to construct machine learning models predict colistin-induced in patients with multidrug-resistant gram-negative infection. Patients receiving colistin from three hospitals the Clinical Research Database were included. Data divided into a derivation cohort (2011∼2017) temporal validation (2018∼2020). Fifteen established by categorical boosting, light gradient boosting machine, random forest....

Abstract Background Exposure to air pollution exerts direct effects on respiratory organs; however, molecular alterations underlying pollution-induced pulmonary injury remain unclear. In this study, we investigated the effect of lung tissues Sprague-Dawley rats with whole-body exposure traffic-related PM 1 (particulate matter < μm in aerodynamic diameter) pollutants and compared it that exposed high-efficiency particulate air–filtered gaseous clean controls for 3 6 months. Lung function...

Antibody glycosylation plays a crucial role in the humoral immune response by regulating effector functions and influencing binding affinity to cell receptors. Previous studies have focused mainly on immunoglobulin G (IgG) isotype owing analytical challenges associated with other isotypes. Thus, development of sensitive accurate platform is necessary characterize antibody across multiple In this study, we developed an workflow using antibody-light-chain beads purify IgG, IgA, IgM from 16 μL...

In the present study, a series of activated carbons were prepared from agricultural waste corn cob by chemical and physical activations with potassium hydroxide (KOH)/potassium carbonate (K2CO3) carbon dioxide (CO2). The effect process variables such as impregnation ratio, time, activation temperature soaking time CO2 was studied in order to relate these preparation parameters properties final products. resulting characterized nitrogen adsorption-desorption isotherms at 77 K. surface areas...

Mobile ad hoc networks (MANET) have many applications in the civilian environment, law enforcement, military and disaster recovery arenas. To facilitate these applications, with heavy traffic among nodes, a stable efficient routing protocol is crucial. In this paper, signal strength-based, on-demand has been proposed, which first uses earliest established path to forward packets, then changes strongest strength for long transmissions. Through exhaustive simulation on ns-2, our showed...

Abstract Summary: Chromaligner is a tool for chromatogram alignment to align retention time chromatographic methods coupled spectrophotometers such as high performance liquid chromatography and capillary electrophoresis metabolomics works. resolves peak shifts by constrained alignment. For collection of chromatograms set defined peaks, aligns the on peaks using correlation warping (COW). faster than original COW algorithm k2 times, where k number in chromatogram. It also provides alignments...

Baseline distortion in 1D 1H NMR data complicates the quantification of individual components biofluids metabolomic experiments. Current baseline correction methods usually require manual parameter and filter tuning by experienced users to obtain desirable results from complex spectra, thus becoming prone variation biased quantification. We present a novel alternative method, BaselineCorrector, for automatically estimating baselines data. By collecting standard deviations spectral...

Two-dimensional gas chromatography time-of-flight mass spectrometry (GC×GC/TOF-MS) is superior for chromatographic separation and provides great sensitivity complex biological fluid analysis in metabolomics. However, GC×GC/TOF-MS data processing currently limited to vendor software typically requires several preprocessing steps. In this work, we implement a web-based platform, which call GC2MS, facilitate the application of recent advances GC×GC/TOF-MS, especially metabolomics studies. The...

Aristolochic acid nephropathy is caused by aristolochic (AA) and AA-containing herbs. In traditional Chinese medicine, a principle called “Jun-Chen-Zou-Shi” may be utilized to construct remedial herbal formula that attempts mitigate the toxicity of main ingredient. This study used Bu-Fei-A-Jiao-Tang (BFAJT) test if compound remedy based on can decrease We compared three toxicities AA standard, Madouling (an Aristolochia herb), BFAJT. standard was given for BALB/c mice at dose 5 mg/kg bw/day...