Comparative Venom Proteomics of Iranian, Macrovipera lebetina cernovi, and Cypriot, Macrovipera lebetina lebetina, Giant Vipers.

Envenoming by Macrovipera lebetina subspecies causes severe life-threatening difficulties for people living in North Africa and the Middle East. To better understand the pathophysiology of envenoming and improve patient management, knowledge about the venom components of the subspecies is essential. Here, the venom proteomes of Macrovipera lebetina lebetina from Cyprus and Macrovipera lebetina cernovi from Iran were characterized using RP-HPLC separation of the crude venom proteins, SDS-PAGE of fractionated proteins, and LC-MS/MS of peptides obtained from in-gel tryptic digestion of protein bands. Moreover, we also used high-resolution shot-gun proteomics to gain more reliable identification, where the whole venom proteomes were subjected directly to in-solution digestion before LC-HR-MS/MS. The data revealed that both venoms consisted of at least 18 protein families, of which snake venom Zn2+-dependent metalloprotease (SVMP), serine protease, disintegrin, phospholipase A2, C-type lectin-like, and L-amino acid oxidase, together accounted for more than 80% of the venoms' protein contents. Although the two viper venoms shared mostly similar protein classes, the relative occurrences of these toxins were different in each snake subspecies. For instance, P-I class of SVMP toxins were found to be more abundant than P-III class in the venoms of M. l. cernovi compared to M. l. lebetina, which gives hints at a more potent myonecrotic effect and minor systemic hemorrhage following envenoming by M. l. cernovi than M. l. lebetina. Moreover, single-shot proteomics also revealed many proteins with low abundance (<1%) within the venoms, such as aminopeptidase, hyaluronidase, glutaminyl-peptide cyclotransferase, cystatin, phospholipase B, and vascular endothelial growth factor. Our study extends the in-depth understanding of the venom complexity of M. lebetina subspecies, particularly regarding toxin families associated with envenoming pathogenesis and those hard-detected protein classes expressed in trace amounts.

Betaine-rich sugar beet molasses protects from homocysteine-induced reduction of survival in Caenorhabditis elegans.

PURPOSE: Homocysteine (Hcy) in humans represents a blood-borne biomarker which predicts the risk of age-related diseases and mortality. Using the nematode Caenorhabditis elegans, we tested whether feeding betaine-rich sugar beet molasses affects the survival under heat stress in the presence of Hcy, in spite of a gene loss in betaine-homocysteine methyltransferase. METHODS: Knockdown of the genes relevant for remethylation or transsulfuration of Hcy was achieved by RNA interference (RNAi). Survival assay was conducted under heat stress at 37 °C and Hcy levels were determined by enzyme-linked immunosorbent assay. RESULTS: Addition of 500 mg/l betaine-rich sugar beet molasses (SBM) prevented the survival reduction that was caused by exposure to Hcy at 37 °C. Although SBM was no longer capable of reducing Hcy levels under RNAi versus homologues for 5, 10-methylenetetrahydrofolate reductase or cystathionine-ß-synthase, it still enabled the survival extension by SBM under exposure to Hcy. In contrast, RNAi for the small heat shock protein hsp-16.2 or the foxo transcription factor daf-16 both prevented the extension of survival by betaine-rich molasses in the presence of Hcy. CONCLUSIONS: Our studies demonstrate that betaine-rich SBM is able to prevent survival reduction caused by Hcy in C. elegans in dependence on hsp-16.2 and daf-16 but independent of the remethylation pathway.

A new HPTLC platformed luminescent biosensor system for facile screening of captan residue in fruits.

This study presented a HPTLC platformed luminescent biosensor system for screening captan residue. First, the potential bio-effects of layers materials on the detectability of a luminescent bacteria Photobacterium phosphoreum (ATCC 11040) as the sensor cell were assessed. From comparison, it was noteworthy that the combination of sensor cells with normal silica gel layer exclusively gave outstanding detectability (<10 ng/zone). On this basis, HPTLC mediated separation and biosensing was further optimized. Then, the obtained graphic results were digitally quantified via software processing, offering satisfactory selectivity, linearity (R2 = 0.9901 within 10-80 ng/zone) and sensitivity (0.5 mg/kg against MRLs ≥ 6 mg/kg). Additionally, the performance of the established method was validated with different fruits (recover rates 75-96%, RSD < 11.8%). Meanwhile, it was demonstrated that detectability of this hybrid system would be tuneable by altering the combination of bacteria strains and layer materials, which was meaningful to strengthen the usability of microbial biosensors.