Differential proteomic analysis of children infected with respiratory syncytial virus.

Respiratory syncytial virus (RSV) infection is the main cause of lower respiratory tract infection in children. However, there is no effective treatment for RSV infection. Here, we aimed to identify potential biomarkers to aid in the treatment of RSV infection. Children in the acute and convalescence phases of RSV infection were recruited and proteomic analysis was performed to identify differentially expressed proteins (DEPs). Subsequently, promising candidate proteins were determined by functional enrichment and protein-protein interaction network analysis, and underwent further validation by western blot both in clinical and mouse model samples. Among the 79 DEPs identified in RSV patient samples, 4 proteins (BPGM, TPI1, PRDX2, and CFL1) were confirmed to be significantly upregulated during RSV infection. Functional analysis showed that BPGM and TPI1 were mainly involved in glycolysis, indicating an association between RSV infection and the glycolysis metabolic pathway. Our findings provide insights into the proteomic profile during RSV infection and indicated that BPGM, TPI1, PRDX2, and CFL1 may be potential therapeutic biomarkers or targets for the treatment of RSV infection.

Differential proteomic analysis of children infected with respiratory syncytial virus

Respiratory syncytial virus (RSV) infection is the main cause of lower respiratory tract infection in children. However, there is no effective treatment for RSV infection. Here, we aimed to identify potential biomarkers to aid in the treatment of RSV infection. Children in the acute and convalescence phases of RSV infection were recruited and proteomic analysis was performed to identify differentially expressed proteins (DEPs). Subsequently, promising candidate proteins were determined by functional enrichment and protein-protein interaction network analysis, and underwent further validation by western blot both in clinical and mouse model samples. Among the 79 DEPs identified in RSV patient samples, 4 proteins (BPGM, TPI1, PRDX2, and CFL1) were confirmed to be significantly upregulated during RSV infection. Functional analysis showed that BPGM and TPI1 were mainly involved in glycolysis, indicating an association between RSV infection and the glycolysis metabolic pathway. Our findings provide insights into the proteomic profile during RSV infection and indicated that BPGM, TPI1, PRDX2, and CFL1 may be potential therapeutic biomarkers or targets for the treatment of RSV infection.

[Etiology of hand, foot and mouth disease in Guangzhou in 2008].

OBJECTIVE: To understand the etiology of hand, foot and mouth disease (HFMD) in Guangzhou area in 2008. METHOD: Totally 1023 clinical specimens were collected from pediatric patients suspected of HFMD in 2008. TaqMan real-time RT-PCR were used for detection of enterovirus 71 (EV71), Coxsackievirus A16 (CA16) and other enteroviruses. The specimens which were enterovirus positive by RT-PCR method with universal primer but EV71 and CA16 negative, were amplified and sequenced for 5'untranslated region. RESULT: Enterovirus was identified from 434 of 1023 samples and detection rate of enterovirus was 42.42%; of the 434 samples, 276 were positive for EV71 (63.6%), 126 for CA16 (29%), 4 samples for enterovirus 84, 3 for Echovirus 11, 2 for Echovirus 9, 3 for Coxsackievirus B3, 4 for Coxsackievirus A10, 3 for Coxsackievirus A6, 6 for Coxsackievirus A12 or A5, and for 7 samples typing was difficult. CONCLUSION: The major causative agents of HFMD in Guangzhou were EV71 and CA16 in 2008, and EV84, CA10, CA12, CA6, COSB3, ECHV11, ECHV9 were also the pathogens for smaller proportions of patients.

[Application of fluorescent real-time polymerase chain reaction in analyzing the epidemic of influenza among children in Guangzhou area in 2006].

OBJECTIVE: To investigate the prevalence of influenza virus infections in children in 2006 using the real-time PCR method. METHODS: (1) Consulting the most conserved sequence NP gene of influenza virus, after comparing with the NP gene sequences of influenza virus in GenBank, one pair of specific primers and one TaqMan probe were designed for each subtype of influenza virus by the software Primer Express. The sensitivity of influenza was evaluated by testing known positive samples which had been two-fold diluted. The specificity of real-time PCR for influenza virus detection was assessed by cross testing 60 isolates of influenza A, 16 isolates of influenza B, and by testing a variety of other respiratory viruses positive samples; (2) 281 nasopharyngeal aspirate samples were detected by real-time PCR and virus isolation; (3) the 12 301 specimens from the patients of Guangzhou Children's Hospital were tested by using the real-time PCR method. Furthermore, the real-time PCR reagent was evaluated by comparing with the result of virus isolation. RESULTS: (1) The sensitivity of real-time PCR developed in this study for influenza A detection was 1:2(22) and for influenza B was 1:2(20) in two-fold serially diluted way. (2) No positive results were found in cross testing of other viruses positive specimens. (3) Influenza virus was detected from 1687 cases (13.71%) out of the 12 301 cases, including 773 cases (45.8%) positive for subtype A and 914 cases (54.2%) positive for subtype B; 455 out of 525 (86.7%) of influenza B positive specimens and 70 out of 525 (13.3%) of influenza A (H1N1) positive specimens were from patients seen during January to April; 419 out of 1118 (37.5%) specimens positive for influenza B and 699 out of 1118 (62.5%) specimens positive for influenza A (H1N1) were from patients seen from May to August. Influenza virus could be identified from 1380 samples by the methods of virus isolation, accounting for 81.80% of the 1687 positive samples detected by real-time PCR. All the influenza virus subtype A was H1N1. CONCLUSION: The real-time PCR method developed in this study was sensitive and specific for detecting influenza A and B in clinical specimens. During 2006, influenza A and influenza B co-circulated. The predominant virus was influenza B from January to April, peaking in April. Influenza A (H1N1) prevailed from May to August, with the peak in June.