Browse > Article
http://dx.doi.org/10.4014/jmb.1612.12002

Profiling Total Viable Bacteria in a Hemodialysis Water Treatment System  

Chen, Lihua (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences,)
Zhu, Xuan (Department of Nephrology, No. 2 Hospital in Xiamen)
Zhang, Menglu (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences,)
Wang, Yuxin (Department of Nephrology, No. 2 Hospital in Xiamen)
Lv, Tianyu (Department of Nephrology, No. 2 Hospital in Xiamen)
Zhang, Shenghua (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences,)
Yu, Xin (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences,)
Publication Information
Journal of Microbiology and Biotechnology / v.27, no.5, 2017 , pp. 995-1004 More about this Journal
Abstract
Culture-dependent methods, such as heterotrophic plate counting (HPC), are usually applied to evaluate the bacteriological quality of hemodialysis water. However, these methods cannot detect the uncultured or viable but non-culturable (VBNC) bacteria, both of which may be quantitatively predominant throughout the hemodialysis water treatment system. Therefore, propidium monoazide (PMA)-qPCR associated with HPC was used together to profile the distribution of the total viable bacteria in such a system. Moreover, high-throughput sequencing of 16S rRNA gene amplicons was utilized to analyze the microbial community structure and diversity. The HPC results indicated that the total bacterial counts conformed to the standards, yet the bacteria amounts were abruptly enhanced after carbon filter treatment. Nevertheless, the bacterial counts detected by PMA-qPCR, with the highest levels of $2.14{\times}10^7copies/100ml$ in softener water, were much higher than the corresponding HPC results, which demonstrated the occurrence of numerous uncultured or VBNC bacteria among the entire system before reverse osmosis (RO). In addition, the microbial community structure was very different and the diversity was enhanced after the carbon filter. Although the diversity was minimized after RO treatment, pathogens such as Escherichia could still be detected in the RO effluent. In general, both the amounts of bacteria and the complexity of microbial community in the hemodialysis water treatment system revealed by molecular approaches were much higher than by traditional method. These results suggested the higher health risk potential for hemodialysis patients from the up-to-standard water. The treatment process could also be optimized, based on the results of this study.
Keywords
Dialysis water; viable bacteria; VBNC; PMA-qPCR; high-throughput sequencing; microbial community;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Taleshi MSA, Azimzadeh HR, Ghaneian MT, Namayandeh SM. 2015. Performance evaluation of reverse osmosis systems for water treatment required of hemodialysis in Yazd educational hospitals, 2013. J. Res. Environ. Health 1: 95-103.
2 Harding GB, Klein E, Pass T, Wright R, Million C. 1990. Endotoxin and bacterial contamination of dialysis center water and dialysate; a cross sectional survey. Int. J. Artif. Organs 13: 39-43.   DOI
3 Wang XF, Lv ZM, Huang J. 2013. Study of the clinical characteristics and related risk factors of nosocomial infections in patients with chronic renal failure receiving hemodialysis. Chin. J. Nosocomiol. 23: 5689-5691.
4 Zhang C, Liu WJ, Zhang ML, Sun W, Tian F, Chang FF, et al. 2013. Water purification and related standards for dialysis water: a review of recent studies. J. Environ. Health 30: 81-84.
5 Association for the Advancement of Medical Instrument (AAMI). 2008. Water treatment equipment for hemodialysis applications, ANSI/AAMI RD62: 2006.
6 Ding L, Su X, Yokota A. 2011. Research progress of VBNC bacteria -a review. Acta Microbiol. Sin. 51: 858-862.
7 Junglee NA, Rahman SU, Wild M, Wilms A, Hirst S, Jibani M, Seale JR. 2010. When pure is not so pure: chloraminerelated hemolytic anemia in home hemodialysis patients. Hemodial. Int. 14: 327-332.   DOI
8 Mezule L, Juhna T. 2016. Effect of labile organic carbon on growth of indigenous Escherichia coli in drinking water biofilm. Chem. Eng. Trans. 49: 619-624.
9 Smeets ED, Kooman J, Sande FVD, Stobberingh E, Frederik P, Claessens P, et al. 2003. Prevention of biofilm formation in dialysis water treatment systems. Kidney Int. 63: 1574-1576.   DOI
10 Man NK, Degremont A, Darbord JC, Collet M, Vaillant P. 1998. Evidence of bacterial biofilm in tubing from hydraulic pathway of hemodialysis system. Artif. Organs 22: 596-600.   DOI
11 Flemming HC, Percival SL, Walker J. 2002. Contamination potential of biofilms in water distribution systems. Water Res. 2: 271-280.
12 Daneshian M, Wendel AT, Von-Aulock S. 2008. High sensitivity pyrogen testing in water and dialysis solutions. J. Immunol. Methods 336: 64-70.   DOI
13 Liu Y, Wang C, Tyrrell G, Hrudey SE, Li XF. 2009. Induction of Escherichia coli O157:H7 into the viable but non-culturable state by chloraminated water and river water, and subsequent resuscitation. Environ. Microbiol. Rep. 1: 155-161.   DOI
14 Mangram AJ, Archibald LK, Hupert M, Tokars JI, Sliver TL, Brennan P, et al. 1998. Outbreak of sterile peritonitis among continuous cycling peritoneal dialysis patients. Kidney Int. 54: 1367-1371.   DOI
15 Penne EL, Visser L, Dorpel MAVD, Weerd NCVD, Mazairac AHA, Jaarsveld BCV, et al. 2009. Microbiological quality and quality control of purified water and ultrapure dialysis fluids for online hemodiafiltration in routine clinical practice. Kidney Int. 76: 665.   DOI
16 Lu JX, Ding F, Lu FM. 2004. Analysis of microbial contamination in dialysis water and dialysate of five dialysis centers in shanghai. Shanghai Med. J. 46: 111-134.
17 Mizunoe Y, Wai SN, Ishikawa T, Takade A, Yoshida S. 2000. Resuscitation of viable but nonculturable cells of Vibrio parahaemolyticus induced at low temperature under starvation. FEMS Microbiol. Lett. 186: 115-120.   DOI
18 Wang YY, Claeys L, Ha DVD, Verstraete W, Boon N. 2010. Effects of chemically and electrochemically dosed chlorine on Escherichia coli and Legionella beliardensis assessed by flow cytometry. Appl. Microbiol. Biotechnol. 87: 331-341.   DOI
19 Rao NV, Shashidhar R, Bandekar JR. 2014. Induction, resuscitation and quantitative real-time polymerase chain reaction analyses of viable but nonculturable Vibrio vulnificus, in artificial sea water. World J. Microbiol. Biotechnol. 30: 2205- 2212.   DOI
20 Slimani S, Robyns A, Jarraud S, Jarraud S, Molmeret M, Dusserre E, et al. 2012. Evaluation of propidium monoazide (PMA) treatment directly on membrane filter for the enumeration of viable but non cultivable Legionella, by qPCR. J. Microbiol. Methods 88: 319-321.   DOI
21 Petti CA, Polage CR, Schreckenberger P. 2005. The role of 16S rRNA gene sequencing in identification of microorganisms misidentified by conventional methods. J. Clin. Microbiol. 43: 6123-6125.   DOI
22 Carter J . 1996. Evaluation of r ecovery filters f or u se in bacterial retention testing of sterilizing-grade filters. PDA J. Pharm. Sci. Technol. 50: 147-153.
23 Devraj A, Siva TPV, Biswal M, Ramachandran R, Jha V. 2016. Extranasal Staphylococcus aureus colonization predisposes to bloodstream infections in patients on hemodialysis with noncuffed internal jugular vein catheters. Hemodial. Int. 21: 35-40.
24 Revetta RP, Pemberton A, Lamendella R, Lker B, Santo Domingo JW. 2010. Identification of bacterial populations in drinking water using 16S rRNA-based sequence analyses. Water Res. 44: 1353-1360.   DOI
25 Dalpke A, Frank J, Peter M, Heeg K. 2006. Activation of Toll-like receptor 9 by DNA from different bacterial species. Infect. Immun. 74: 940-946.   DOI
26 Gomila M, Gasco J, Gil J, Bernabeu R, Lnigo V, Lalucat J. 2006. A molecular microbial ecology approach to studying hemodialysis water and fluid. Kidney Int. 70: 1567-1576.   DOI
27 Verthelyi D, Ishii KJ, Gursel M, Takeshita F, Klinman DM. 2001. Human peripheral blood cells differentially recognize and respond to two distinct CPG motifs. J. Immunol. 166: 2372-2377.   DOI
28 Stoodley P, Sauer K, Davies DG, Costerton JW. 2002. Biofilm as complex differentiated communities. Annu. Rev. Microbiol. 56: 187-209.   DOI
29 Wilks SA, Giao MS, Keevil CW. 2013. Comparison of methods for the detection of culturable and VBNC Escherichia coli O157:H7 in complex drinking water biofilms, pp. 243-249. In Borchers U, Gray J, Clive Thompson K (eds.). Water Contamination Emergencies: Managing the Threats. Royal Society of Chemistry Publishing, Cambridge, UK.
30 Gomila M, Gasco J, Busquets A, Gil J, Bernabeu R, Buades JM, et al. 2005. Identification of culturable bacteria present in haemodialysis water and fluid. FEMS Microbiol. Ecol. 52: 101-114.   DOI
31 Saxena AK, Panhotra BR, Chopra R. 2004. Advancing age and the risk of nasal carriage of Staphylococcus aureus among patients on long-term hospital-based hemodialysis. Ann. Saudi Med. 24: 337-342.   DOI
32 Caporaso JG, Lauber CL, Walters WA, Berg-Lyons D, Huntley J, Fierer N, et al. 2012. Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms. ISME J. 6: 1621-1624.   DOI
33 Zhang S, Ye C, Lin H, Lv L, Yu X. 2015. UV disinfection induces a VBNC state in Escherichia coli and Pseudomonas aeruginosa. Environ. Sci. Technol. 49: 7502-7503.   DOI
34 Nocker A, Mazza A, Masson L, Camper AK, Brousseau R. 2009. Selective detection of live bacteria combining propidium monoazide sample treatment with microarray technology. J. Microbiol. Methods 76: 253-261.   DOI
35 Barbau-Piednoir E, Lievens A, Mbongolo-Mbella G, Roosens N, Sneyers M, Leunda-Casi A, Van den Bulcke M. 2010. SYBR${(R)}$ Green qPCR screening methods for the presence of "35S promoter" and "NOS terminator" elements in food and feed products. Eur. Food Res. Technol. 230: 383-393.   DOI
36 Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, et al. 2010. QIIME allows analysis of high-throughput community sequencing data. Nat. Methods 7: 335-336.   DOI
37 Miltner RJ, Summers RS, Wang JZ. 1995. Biofiltration performance: Part 2, effect of backwashing. J. Am. Water Works Assoc. 87: 64-70.
38 Desantis TZ, Hugenholtz P, Larsen N, Rojas M, Brodie EL, Keller K, et al. 2006. Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl. Environ. Microbiol. 72: 5069-5072.   DOI
39 Pontoriero G, Pozzoni P, Andrulli S, Locatelli F. 2003. The quality of dialysis water. Nephrol. Dial. Transplant. 21: vii21- vii25.
40 Tong KH, Wang W, Kwan TH, Chan L, AU TC. 2001. Water treatment for hemodialysis. Hong Kong J. Nephrol. 3: 7-14   DOI