Effect of replacing inorganic iron with iron-rich microbial preparations on growth performance, serum parameters and iron metabolism of weaned piglets.

This study aimed to investigate the effects of replacing of dietary inorganic iron with iron-rich Lactobacillus plantarum and iron-rich Candida utilis on the growth performance, serum parameters, immune function and iron metabolism of weaned piglets. Fifty-four 28-day-old healthy Duroc × Landrace × Yorkshire castrated male weanling piglets of similar body weight were randomly and equally divided into three groups. The piglets were kept in three pens per group, with six pigs in each pen. The dietary treatments were (1) a basal diet + ferrous sulfate preparation containing 120 mg/kg iron (CON); (2) a basal diet + iron-rich Candida utilis preparation containing 120 mg/kg iron (CUI); and (3) a basal diet + iron-rich Lactobacillus plantarum preparation containing 120 mg/kg iron (LPI). The entire feeding trial lasted for 28 days, after which blood, viscera, and intestinal mucosa were collected. The results showed no significant difference in growth parameters and organ indices of the heart, liver, spleen, lung, and kidney of weaned piglets when treated with CUI and LPI compared with the CON group (P > 0.05). However, CUI and LPI significantly reduced the serum contents of AST, ALP, and LDH (P < 0.05). Serum ALT content was significantly lower in the LPI treatment compared to the CON group (P < 0.05). Compared to CON, CUI significantly increased the contents of serum IgG and IL-4 (P < 0.05), and CUI significantly decreased the content of IL-2. LPI significantly increased the contents of serum IgA, IgG, IgM and IL-4 (P < 0.05), while LPI significant decreased the levels of IL-1ß, IL-2, IL-6, IL-8, and TNF-α compared to CON (P < 0.05). CUI led to a significant increase in ceruloplasmin activity and TIBC (P < 0.05). LPI significantly increased the contents of serum Fe and ferritin, and increased the serum ceruloplasmin activity and TIBC compared to CON (P < 0.05). Furthermore, CUI resulted in a significant increase in the relative mRNA expression of FPN1 and DMT1 in the jejunal mucosa (P < 0.05). LPI significantly increased the relative mRNA expression of TF, FPN1, and DMT1 in the jejunal mucosa (P < 0.05). Based on these results, the replacement of dietary inorganic iron with an iron-rich microbial supplement could improve immune function, iron absorption and storage in piglets.

A fully validated high-throughput liquid chromatography tandem mass spectrometry method for automatic extraction and quantitative determination of endogenous nutritional biomarkers in dried blood spot samples.

Dried blood spot (DBS) sampling demonstrates multiple advantages over traditional venous blood collection in terms of quantifying biomarkers for clinical applications. The process is more convenient, less invasive and requires smaller sample size. More importantly, it lowers risk of infection and allows easier sample transportation and storage. In this study, an automated high-throughput DBS-LC-MS/MS method was developed for quantifying endogenous biomarkers in DBS (or 20 µL whole blood) and later applied in riboflavin (i.e. vitamin B2) quantification. The method consists of four steps, including internal standard spraying, high pressure sample extraction, LC-MS/MS sample analysis and automatic extraction module cleaning. The last two steps overlap, thus reducing sample preparation time and shorten the sample analysis cycle to five minutes per sample. The method was validated to be selective and sensitive (LLOQ=2 ng/mL) over a range of 2-120 ng/mL. Matrix effect was compensated by the application of internal standard, while within-run precision, between-run precision, accuracy, stability and ruggedness of the developed method were all assessed to be satisfactory. Quantitative analysis of riboflavin in 133 whole blood samples using the developed method demonstrated strong correlation compared with those quantified using traditional manual sample preparation followed by LC-MS/MS analysis (R = 0.9774). In conclusion, an automated high-throughput DBS-LC-MS/MS method was developed and validated to be sensitive, accurate and robust, suggesting great potential in the quantification of endogenous biomarkers in blood or other biofluids.