Lactophorin in Camel Milk Undergoing Specific Proteolysis and Exhibiting Potent Anticancer Action against Human Colon and Breast Cancer Cells Through ROS Generation

Background: Camel milk has been recognized for its health benefits since ancient times and has recently been attracting increasing attention as a form of medical treatment for diverse human diseases. Studies on the health benefits of camel milk attributed its medicinal effects to nutritional status, but the molecular mechanisms of proteins involved in such effects remain unknown. Objectives: The aim of this study was to explore the anticancer properties of camel milk proteins (CMPs). Methods: CMPs were fractionated into camel casein proteins (CCPs) and camel whey proteins (CWPs). The CWP exhibited the most potent anticancer activity against colon (HCT-116) and breast (MCF-7) cancer cells. The CWP was further fractionated into cationic and anionic proteins using HiTrap cationic (SP-XL) and anionic (QFF) exchange columns. Results: QFF-bound proteins (QFF-B) exhibited the strongest anticancer activities against both cancer cells. QFF-B proteins produced three peaks (P1~P3) on RP-HPLC, whereas P3 showed superior anticancer activity. The cytotoxic effects of CWP and QFF-B proteins are associated with increased production of intracellular ROS and subsequent apoptosis in both cancer cells. MALDI-TOF-MS identified lactophorin, glycation-dependent cell adhesion molecule1 (GlyCAM-1), and its three driven fragments as dominant peptides in QFF-B, while RP-HPLC-P3 contained two of them with molecular masses of 8080.3 and 9395.6 Da. The two peptides, both derived from the C-terminal of lactophorin, were the most representative peptides in the most active protein fractions (QFF-B and RP-HPLC-P3). Conclusion: The results highlight for the first time that lactophorin is the major anti-cancer ingredient in camel milk and its unique C-terminal peptides present potential candidacy as anticancer agents in nutraceutical and pharmacological applications

Development of a training system for interventional radiology

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Betti numbers for numerical semigroup rings

We survey results related to the magnitude of the Betti numbers of numerical semigroup rings and of their tangent cones.Comment: 22 pages; v2: updated references. To appear in Multigraded Algebra and Applications (V. Ene, E. Miller Eds.

Non-traditional platinum compounds for improved accumulation, oral bioavailability, and tumor targeting

The five platinum anticancer compounds currently in clinical use conform to structure–activity relationships formulated (M. J. Cleare and J. D. Hoeschele, Bioinorg. Chem., 1973, 2, 187–210) shortly after the discovery that cis-diamminedichloroplatinum(II), cisplatin, has antitumor activity in mice. These compounds are neutral platinum(II) species with two am(m)ine ligands or one bidentate chelating diamine and two additional ligands that can be replaced by water through aquation reactions. The resulting cations ultimately form bifunctional adducts on DNA. Information about the chemistry of these platinum compounds and correlations of their structures with anticancer activity have provided guidance for the design of novel anticancer drug candidates based on the proposed mechanisms of action. This article discusses advances in the synthesis and evaluation of such non-traditional platinum compounds, including cationic and tumor-targeting constructs.National Cancer Institute (U.S.) (Grant CA34992

Evaluation of MAGE-1 and MAGE-3 as tumour-specific markers to detect blood dissemination of hepatocellular carcinoma cells

The members of MAGE gene family are highly expressed in human hepatocellular carcinoma (HCC). In the present study, we tested the tumour-specific MAGE-1 and MAGE-3 transcripts in the peripheral blood of HCC patients by nested RT–PCR to detect the circulating tumour cells and evaluate their potential clinical implication. Of 30 HCC patients, the positive rate of MAGE-1 and MAGE-3 transcripts was 43.3% (13 out of 30) and 33.3% (10 out of 30) in PBMC samples, whilst the positive rate was 70% (21 out of 30) and 53.3% (16 out of 30) in the resected HCC tissue samples, respectively. The positivity for at least one MAGE gene transcript was 63.3% (19 out of 30) in PBMC samples of HCC patients and 83.3% (25 out of 30) in the resected HCC tissue samples. MAGE-1 and/or MAGE-3 mRNA were not detected in the PBMC of those patients from whom the resected HCC tissues were MAGE-1 or MAGE-3 mRNA negative, nor in the 25 PBMC samples from healthy donors. The detection of MAGE transcripts in PBMC was correlated with the advanced stages and tumour size of the HCC, being 82.4% (14 out of 17) in tumour stages III and IVa, 56.6% (five out of nine) in stage II, and null (nought out of four) in stage I. The serum α-FP in 33.3% (10 out of 30) of HCC patients was normal or slightly elevated (<40 ng ml−1). However, six of these 10 patients (α-FP <40 ng ml−1) were MAGE-1 and /or MAGE-3 mRNA positive in their PBMC. The follow-up survey of MAGE mRNA in PBMC was performed in 12 patients. Seven patients with persistent MAGE-1 and/or MAGE-3 mRNA positive or from negative turned to positive died because of metastasis and/or recurrence. In striking contrast, all four patients with MAGE-1 and/or MAGE-3 mRNA from positive turned to negative and one patient with persistent MAGE-3 transcript negative are alive after last test. Collectively, detection of MAGE transcripts with follow-up survey in PBMC is a feasible and reliable assay for the early prediction of the relapse and prognosis of the HCC patients

Joint QTL Linkage Mapping for Multiple-Cross Mating Design Sharing One Common Parent

BACKGROUND: Nested association mapping (NAM) is a novel genetic mating design that combines the advantages of linkage analysis and association mapping. This design provides opportunities to study the inheritance of complex traits, but also requires more advanced statistical methods. In this paper, we present the detailed algorithm of a QTL linkage mapping method suitable for genetic populations derived from NAM designs. This method is called joint inclusive composite interval mapping (JICIM). Simulations were designed on the detected QTL in a maize NAM population and an Arabidopsis NAM population so as to evaluate the efficiency of the NAM design and the JICIM method. PRINCIPAL FINDINGS: Fifty-two QTL were identified in the maize population, explaining 89% of the phenotypic variance of days to silking, and nine QTL were identified in the Arabidopsis population, explaining 83% of the phenotypic variance of flowering time. Simulations indicated that the detection power of these identified QTL was consistently high, especially for large-effect QTL. For rare QTL having significant effects in only one family, the power of correct detection within the 5 cM support interval was around 80% for 1-day effect QTL in the maize population, and for 3-day effect QTL in the Arabidopsis population. For smaller-effect QTL, the power diminished, e.g., it was around 50% for maize QTL with an effect of 0.5 day. When QTL were linked at a distance of 5 cM, the likelihood of mapping them as two distinct QTL was about 70% in the maize population. When the linkage distance was 1 cM, they were more likely mapped as one single QTL at an intermediary position. CONCLUSIONS: Because it takes advantage of the large genetic variation among parental lines and the large population size, NAM is a powerful multiple-cross design for complex trait dissection. JICIM is an efficient and specialty method for the joint QTL linkage mapping of genetic populations derived from the NAM design