Metabolomic insights into the effects of seasonal shifts on the dynamic variation of non-volatile compounds of abalone (Haliotis discus hannai).

Abalone (Haliotis spp.) is a shellfish known for its exceptional nutritional value and significant economic worth. This study investigated the dynamic characteristics of non-volatile compounds over a year, including metabolites, lipids, nucleotides, and free amino acids (FAAs), which determined the nutritional quality and flavor of abalone. 174 metabolites and 371 lipids were identified and characterized, while 20 FAAs and 11 nucleotides were quantitatively assessed. These non-volatile compounds of abalone were fluctuated with months variation, which was consistent with the fluctuations of environmental factors, especially seawater temperature. Compared with seasonal variation, gender had less influence on these non-volatiles. June and July proved to be the optimal harvesting periods for abalone, with the levels of overall metabolites, lipids, FAAs, and nucleotides in abalone exhibiting a higher value in June and July over a year. Intriguingly, taurine covered 60% of the total FAAs and abalone could be used as dietary taurine supplementation.

Prediction of mass spectrometry ionization efficiency based on COSMO-RS and machine learning algorithms.

Non-targeted analysis of high-resolution mass spectrometry (MS) can identify thousands of compounds, which also gives a huge challenge to their quantification. The aim of this study is to investigate the impact of mass spectrometry ionization efficiency on various compounds in food at different solvent ratios and to develop a predictive model for mass spectrometry ionization efficiency to enable non-targeted quantitative prediction of unknown compounds. This study covered 70 compounds in 14 different mobile phase ratio environments in positive ion mode to analyze the rules of the matrix effect. With the organic phase ratio from low to high, most compounds changed by 1.0 log units in log IE. The addition of formic acid enhanced the signal but also promoted the matrix effect, which often occurred in compounds with strong ionization capacity. It was speculated that the matrix effect was mainly in the form of competitive charge and charged droplet' gasification sites during MS detection. Subsequently, we present a log IE prediction method built using the COSMO-RS software and the artificial neural network (ANN) algorithm to address this difficulty and overcome the shortcomings of previous models, which always ignore the matrix effect. This model was developed following the principles of QSAR modeling recommended by the Organization for Economic Cooperation and Development (OECD). Furthermore, we validated this approach by predicting the log IE of 70 compounds, including those not involved in the log IE model development. The results presented demonstrate that the method we put forward has an excellent prediction accuracy for log IE (R2pred = 0.880), which means that it has the potential to predict the log IE of new compounds without authentic standards.

Unraveling the relationship between aroma characteristics and lipid profile of abalone (Haliotis discus hannai) during seasonal fluctuation and thermal processing.

Abalone, a highly sought-after aquatic product, possesses significant nutritional value. In this study, the relationship between aroma characteristics and lipid profile of abalone (Haliotis discus hannai) during seasonal fluctuation and thermal processing were profiled via volatolomics and lipidomics. 46 aroma compounds and 371 lipids were identified by HS-SPME-GC-MS and UPLC-Q-Extractive Orbitrap-MS, respectively. Multivariate statistical analysis indicated that carbonyls (aldehydes and ketones) and alcohols were the characteristic aroma compounds of abalone. The fluctuations in the aroma compound and lipid composition of abalone were consistent with the seasonal variation, especially seawater temperature. In addition, based on the correlation analysis, it was found that carbonyls (aldehydes and ketones) and alcohols had a positive correlation with phospholipids (lysophosphatidylethanolamines and lysophosphatidylcholines), while a negative correlation was observed with fatty acyls. These findings suggested that the effect of seasonal variations on the aroma changes of abalone might achieved by modulating the lipids composition of abalone.

[Expression of miR-106b-5p in children with primary immune thrombocytopenia and its correlation with T cells]. / å„¿ç«¥åŽŸå‘å ç–«æ€§è¡€å°æ¿å‡å°‘ç—‡miR-106b-5pçš„è¡¨è¾¾åŠå ¶ä¸ŽTç»†èƒžçš„ç›¸å ³æ€§ç ”ç©¶.

OBJECTIVES: To study the expression level of plasma miR-106b-5p in primary immune thrombocytopenia (ITP) and its correlation with the levels of T helper 17 cell (Th17) and regulatory T cell (Treg) and the Th17/Treg ratio. METHODS: A total of 79 children with ITP (ITP group) and 40 healthy children (control group) were selected as subjects. According to the treatment response, the 79 children with ITP were divided into three groups: complete response (n=40), partial response (n=18), and non-response (n=21). Quantitative real-time PCR was used to measure the expression level of miR-106b-5p. Flow cytometry was used to measure the frequencies of Th17 and Treg, and the Th17/Treg ratio was calculated. The correlation of the expression level of plasma miR-106b-5p with the frequencies of Th17 and Treg and the Th17/Treg ratio was analyzed. RESULTS: Compared with the control group, the ITP group had significantly higher levels of miR-106b-5p, Th17, and Th17/Treg ratio (P<0.05) and a significantly lower level of Treg (P<0.05). After treatment, the ITP group had significant reductions in the levels of miR-106b-5p, Th17, and Th17/Treg ratio (P<0.05) and a significant increase in the level of Treg (P<0.05). Compared with the partial response and non-response groups, the complete response group had significantly lower levels of miR-106b-5p, Th17, and Th17/Treg ratio (P<0.05) and a significantly higher level of Treg (P<0.05). The correlation analysis showed that in the children with ITP, the expression level of plasma miR-106b-5p was positively correlated with the Th17 level and the Th17/Treg ratio (r=0.730 and 0.816 respectively; P<0.001) and was negatively correlated with the Treg level (r=-0.774, P<0.001). CONCLUSIONS: A higher expression level of miR-106b-5p and Th17/Treg imbalance may be observed in children with ITP. The measurement of miR-106b-5p, Th17, Treg, and Th17/Treg ratio during treatment may be useful to the evaluation of treatment outcome in children with ITP.

Isotope dilution HPLC-MS/MS for simultaneous quantification of acrylamide and 5-hydroxymethylfurfural (HMF) in thermally processed seafood.

The objective of this study was to develop an accurate, robust and rapid HPLC-MS/MS-based method capable of quantifying acrylamide and 5-hydroxymethylfurfural (HMF) simultaneously. A Phenomenex Synergi Fusion-RP C18 column (50mm×2.5mm, 2µm) was used, and the MS/MS instrument was operated in multiple reaction monitoring mode. The isotope dilution method was used to correct for the matrix effect from samples. This method demonstrated low limits of quantification (2.12ng/mL for acrylamide and 4.86ng/mL for HMF) and excellent linearity (R2>0.999). This method also demonstrated excellent quantification accuracy, precision, and recovery (87-110%). Using the method developed, target analytes were quantified in 14 thermally-processed seafood samples. Resulting concentrations ranged from 5.58 to 50.35µg/kg for acrylamide, and from 12.54 to 2276.44µg/kg for HMF. The proposed isotope dilution HPLC-MS/MS method is a valid and rapid technique for simultaneous analysis of acrylamide and HMF in seafood.