Abstract Background: Snakebites remain a major life-threatening event worldwide. It is still difficult to make a positive identification of snake species by clinicians in both Western medicine and Chinese medicine. The main reason for this is a shortage of diagnostic biomarkers and lack of knowledge about pathways of venom-induced toxicity. In traditional Chinese medicine, snakebites are considered to be treated with wind, fire, and wind-fire toxin, but additional studies are required. Methods: Cases of snakebite seen at the Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine were grouped as follows: fire toxin - including four cases of bites by Agkistrodon acutus and three bites by Trimeresurus stejnegeri - and wind-fire toxin - four cases of bites by vipers and three bites by cobras. Serum protein quantification was performed using LC-MS/MS. Differential abundance proteins (DAPs) were identified from comparison of snakebites of each snake species and healthy controls. The protein interaction network was constructed using STITCH database. Results: Principal component analysis and hierarchical clustering of 474 unique proteins exhibited protein expression profiles of wind-fire toxins that are distinct from that of fire toxins. Ninety-three DAPs were identified in each snakebite subgroup as compared with healthy control, of which 38 proteins were found to have significantly different expression levels and 55 proteins displayed no expression in one subgroup, by subgroup comparison. GO analysis revealed that the DAPs participated in bicarbonate/oxygen transport and hydrogen peroxide catabolic process, and affected carbon-oxygen lyase activity and heme binding. Thirty DAPs directly or indirectly acted on hydrogen peroxide in the interaction network of proteins and drug compounds. The network was clustered into four groups: lipid metabolism and transport; IGF-mediated growth; oxygen transport; and innate immunity. Conclusions: Our results show that the pathways of snake venom-induced toxicity may form a protein network of antioxidant defense by regulating oxidative stress through interaction with hydrogen peroxide.

ABSTRACT A better understanding of the antimicrobial susceptibility, carriage of virulence determinants and molecular characteristics of Staphylococcus aureus isolates associated with skin and soft tissue infections (SSTIs) may provide further insights related to clinical outcomes with these infections. From January 2012 to September 2013, a total of 128 non-duplicateS. aureus isolates were recovered from patients with SSTIs. All 128 S. aureus SSTI isolates carried at least five virulence genes tested. Virulence genes detected among at least 70% of all tested isolates included hld (100%), hla (95.3%),icaA (96.9%), clf (99.2%),sdrC (79.7%), sdrD (70.3%), andsdrE (72.7%). The prevalence of MRSA isolates with 10 virulence genes tested (54.4%, 31/56) was significantly higher than that among MSSA isolates (35.2%, 25/71) (p < 0.05). The positive rates of seb, sen, sem, sdrE and pvl among MRSA isolates were significantly higher than among MSSA isolates (p< 0.05). ST7 and ST630 accounting for 10.9% were found to be the predominant STs. The most prevalent spa type was t091 (8.6%). MRSA-ST59-SCCmec IV was the most common clone (12.3%) among MRSA isolates whereas among MSSA isolates the dominant clone was MSSA-ST7 (15.5%). Six main clonal complexes (CCs) were found, including CC5 (52.3%), CC7 (11.7%), CC59 (8.6%), CC88 (6.3%), CC398 (4.7%), and CC121 (3.1%). A higher carriage of seb and sec was found among CC59 isolates. In comparison to CC5 and CC7 isolates, those with the highest carriage rates (>80.0%) of sdrC and sdrD, CC59 isolates had lower prevalence of these two virulence genes. All CC59 isolates were susceptible to gentamicin and trimethoprim/sulfamethoxazole, while CC5 and CC7 isolates had resistance rates to these two antimicrobials of 25.4% and 20.9%, and 40.0% and 40.0%, respectively. The resistance rates for tetracycline, clindamycin, and erythromycin among CC5 isolates were lower than among CC7 and CC59 isolates. In conclusion, the molecular typing of S. aureusSSTI isolates in the present study showed considerable heterogeneity. ST7 and ST630 became prevailing clones. Different S. aureus clones causing SSTIs were associated with specific antimicrobial resistance and virulence gene profiles.

ABSTRACTThe serine-aspartate repeat proteins (Sdr) are members of a family of surface proteins and contribute to the pathogenicity of Staphylococcus aureus. Among 288 S. aureus isolates including 158 and 130 associated with skin and soft tissue infections and bloodstream infection, respectively; 275 (95.5%) were positive for at least one of threesdr genes tested. The positivity rates for sdrC, sdrD, and sdrE among S. aureusisolates were 87.8% (253/288), 63.9% (184/288), and 68.1% (196/288), respectively. 224 (77.8%) of 288 isolates were concomitantly positive for two or three sdr genes. There was an association between carriage ofsdrE and methicillin-resistant S. aureus(MRSA) isolates, while the carriage rates of sdrC andsdrD in MRSA isolates were similar to those in methicillin-sensitive S. aureus (MSSA) isolates. The prevalence of co-existence of sdrC and sdrE among MRSA isolates was significantly higher than that among MSSA isolates (p < 0.05). All ST1, ST5, ST7, and ST25 isolates were positive for sdrD. While all ST121 and ST398 isolates were negative for sdrD. All ST59 and ST88 isolates were positive forsdrE. All ST1 isolates were concomitantly positive forsdrC and sdrD. Concomitant carriage ofsdrC, sdrD, and sdrE was found among all ST5, 75.0% (9/12) of ST1, 69.2% (9/13) of ST6, 78.6% (11/14) of ST25, and 90.9% (20/22) of ST88 isolates. sdrD was linked to CC5, CC7 and CC88 isolates, especially CC88 isolates. There was a strong association between the presence of sdrE and CC59, CC88, and CC5 isolates. A significant correlation between concomitant carriage of sdrC, sdrD, and sdrE and CC88 isolates was found.sdrC-positive, sdrD-positive andsdrE-negative gene profile was significantly associated with CC7 clone. There was an association between sdrC-positive,sdrD-negative, and sdrE-positive gene profile and CC59 isolates. A correlation between sdrC-positive,sdrD-negative, and sdrE-negative gene profile and CC121 clone was found. More CC59 isolates carriedsdrC-negative, sdrD-negative, andsdrE-positive gene profile relative to other four CCs isolates. All ST1 and ST5, 95.2% (20/21) of ST188 and 95.2% (20/21) of ST630 isolates were positive for sdrC. Taken together, our investigation indicated that different S. aureus lineages were associated with specific patterns of carriage of sdr genes.