Skip to main content

Bacterial DNA metabolism analysis by metagenomic next-generation sequencing (mNGS) after treatment of bloodstream infection

Abstract

Background

With the advent of metagenomic next-generation sequencing (mNGS), the time of DNA metabolism can be explored after bacteria be killed. In this study, we applied mNGS in investigation of the clearance profile of circulating bacteria DNA.

Methods

All of the rabbits were injected with the inactivated Escherichia coli. Using mNGS, we analyzed serial samples of plasma collected from rabbits to detect clearance profile of circulating E. coli DNA.

Results

In this study, we found that the of E. coli DNA could still be detected 6 h after injecting killed bacteria. The clearance half-lives associated with the 2 phases are 0.37 and 1.81 h. We also explored there is no correlation between the disease severity with the E. coli DNA reads in circulation.

Conclusions

After the bacteria were completely killed, their DNA could still be detected in the blood circulation. The metabolism of bacterial DNA in the circulation had two phases: fast and slow phases, and there were no correlations between the level of bacteria reads with the severity of patients’ disease after the bacteria have been completely killed.

Peer Review reports

Introduction

Bloodstream infections are associated with significant mortality. Early effective antimicrobial therapy has been demonstrated to improve patient outcomes. Escherichia coli (E. coli) bloodstream infection was considered a considerable and growing burden in human medicine [1]. Three studies reported 30-day case fatality risk between 8 and 18.2% for E. coli BSIs [2,3,4]. Additionally, due to the global emergence of multidrug-resistant (MDR) strains, the community antibiotic resistance in E. coli has increased dramatically, which may result from prolonged empirical antibiotic therapy [5].

In the clinical treatment of bloodstream infections, rapid diagnosis and initial treatment are necessary. Since 2010, metagenomic next-generation sequencing (mNGS) technology, based on nucleic acid sequencing to rapidly detect pathogens has been clinically applied and validated as a diagnostic method for infectious diseases [6, 7]. However, the timing of discontinuation after treatment of patients is difficult to determine clinically, which can lead to unnecessary antibiotic exposure. Therefore, adjustments should be made as soon as possible according to the microbiological spectrum [8, 9].

There have been reports Fetal DNA remains in the maternal circulation after birth, and there were no correlations between birth weight or number of fetal nucleated cells and absolute and fractional concentrations of fetal DNA [10, 11]. We guess that bacterial DNA remains in the patient’s circulation after the bacteria have been completely killed. It has important reference significance for the clinical selection of detection methods and drugs for pathogens.

Recent studies have begun to reveal the potential pro-inflammatory role of extracellular DNA (e-DNA) released by activated airway neutrophils in asthma due to the high concentration of e-DNA in sputum associated with elevated sputum neutrophils, activation of innate immune responses, and elevated sputum cytokines [12, 13]. However, whether the release of bacterial DNA from the inactivated bacteria will cause the aggravation of inflammation.

In this study, we aim to explore when the DNA of bacteria completely disappears after the pathogenic bacteria being killed and whether it is related to the disease severity, so as to provide a new idea for the clinical treatment of patients with bloodstream infection.

Materials and methods

Animals

Adult New Zealand rabbits (male, 2.0-2.5 kg) were purchased from Guangdong Medical Laboratory Animal Center. The rabbits were reared in experimental conditions (temperature, 20–25 °C; humidity, 50–70%) with a 12 h light/dark cycle and fed standard chow and water. All of the rabbits were injected with the inactivated E. coli.

Bacteria

The parental strain used in this study was the drug-susceptible E. coli ATCC 25,922. All other cultures were derivatives produced by chemostatic culture. The lyophilized strains were resuscitated on fresh Lennox AGAR (Sigma-Aldrich) and the growth of individual colonies was transferred to lysogenetic broths (LB; Sigma-Aldrich). In order to ensure that the parental strain utilized throughout the continuous culturing was genetically homogeneous at the outset, this single colony suspension was used to inoculate three parallel chemostat vessels. The continuous cultures were grown in quarter-strength LB medium to ensure nutrient restriction. The developed cultures were stored at − 20 °C in 20% glycerol.

Concentration detection: The dilution plate coating counting method and blood cell counting plate were used to count the number of bacteria and UV spectrophotometry was used to measure OD value of bacterial culture medium, and a standard curve of concentration-OD value was formed for measuring the concentration of bacterial suspension.

Animal model of E. coli bloodstream infection

Rabbits were anesthetized by intraperitoneal injection of 3% sodium pentobarbital (60 mg/kg). Indwelling trocar was inserted into the auricular vein for fixation. The model of bloodstream infection was established by intravenous injection of 1ml inactivated 1*108 CFU/mL Escherichia coli suspension.

Sample collection and preparation

Two milliliters of peripheral blood were collected from each auricular vein in Rabbit. Two milliliters of blood were collected into EDTA-containing tubes: 0.5 h, 1.5 h, 2 h, 3 h, and 6 h after the inactivated E. coli was injected and centrifuged at 1500 r/min for 5 min, and the plasma was collected.

DNA sequencing

Library preparation and metagenomic sequencing

DNA library was prepared by automatic nucleic acid extraction, enzymatic fragmentation, end repair, terminal adenylation, and adaptor ligation according to a previous study. Finished libraries were quantified by real-time PCR (KAPA) and pooled. Shotgun sequencing was carried out on illumina Nextseq. Approximately 20 million of 50 bp single-end reads were generated for each library. Bioinformatic analysis was conducted as described in a previous report. Briefly, sequences of human origin were filtered (GRCh38.p13) and the remaining reads were aligned to a reference database (NCBI nt, GenBank, and in-house curated genomic database) to identify the microbial species and read count. For each sequencing run, a negative control (culture medium containing 104 Jurkat cells/mL) was included.

mNGS reporting criteria

Microbial reads identified from a library were reported if: (1) the sequencing data passed quality control filters (library concentration > 50 pM, Q20 > 85%, Q30 > 80%); (2) negative control (NC) in the same sequencing run does not contain the species or the RPM (sample) / RPM (NC) ≥ 5, which was determined empirically according to previous studies as a cutoff for discriminating true-positives from background contaminations [14].

Elisa test

Interleukin-6 (IL-6), procalcitonin (PCT) expression in the plasma of rabbits were quantified by an ELISA kit (R&D Systems, Inc., Minneapolis, MN, USA). Plasma was collected from the peripheral blood at 1.5 h, 3 h, and 6 h after killed E. coli was injected and quantified for IL-6, PCT expression using the ELISA kit, following the manufacturer’s instructions.

Statistical analysis

Statistical significance was determined using t test with P < 0.05 considered to be significant. Correlation studies were performed using Pearson correlation coefficient.

Results

Detection of E. coli DNA in plasma of rabbits injected with inactivated E. coli

In order to detect when the DNA of the bacteria completely disappeared after being completely killed, we used to inject the rabbits with heated inactivated E. coli to simulate the blood flow infection model of the rabbits. In total, we analyzed 21 plasma samples from 3 rabbits. Blood samples were collected at 0.5 h, 1.5 h, 2 h, 3 h, 6 and 48 h after modeling, and the reads of E. coli DNA in the plasma of rabbits were detected (Table 1). Therefore, circulating E. coli DNA in rabbits disappeared by 1 to 2 days after E. coli has been completely eliminated.

Table 1 Reads in plasma from New Zealand rabbit after injection of killed E. coli

Clearance kinetics of circulating E. coli DNA

We investigated the clearance kinetics of circulating E. coli DNA by determining the absolute E. coli DNA reads of each rabbit plasma sample measured by mNGS. The clearance profiles for the absolute E. coli DNA concentrations were similar for samples 1–3 (Fig. 1). E. coli DNA was also detectable in New Zealand rabbit plasma after E. coli has been completely killed.

Fig. 1
figure 1

Dynamics of E. coli DNA clearance. Sample1-3(within 6 h after the bacteria were completely killed). Time is plotted on the x axis, and the reads of E. coli is plotted on the y axis

Plotting the natural logarithm of the absolute E. coli DNA concentration against time demonstrated that all samples had a 2-phase clearance pattern—a rapid initial phase followed by a slow phase (Fig. 2). For all samples, we also determined the slopes of the plots and calculated the half-lives with the following equation: Half-life = ln (2)/Slope. The mean half-lives of the rapid phase (0–2 h after) and the slow phase (3–6 h after) were 0.37 and 1.81 h respectively.

Fig. 2
figure 2

Clearance kinetics of circulating E. coli DNA. Time is plotted on the x axis, and the reads of E. coli is plotted on the y axis. Linear regression lines for the rapid phase and the slow phase are represented by solid and dashed lines, respectively. The corresponding half-lives (T1/2) for the 2 phases are shown

Correlations of the severity of disease with circulating concentration of E. coli DNA

We explored whether the severity of the disease of the New Zealand rabbits was correlated with the circulating reads of E. coli in the samples of New Zealand rabbit plasma. No significant Spearman correlations were found among the circulating reads of E. coli and IL-6 (Fig. 3A) (r = -0.510, P = 0.187), PCT (Fig. 3B) (r = -0.100, P = 0.798).

Fig. 3
figure 3

The relationship between the IL-6 and PCT with circulating concentration of E. coli DNA

Discussion

This work represents use the bacterial DNA sequences in the plasma of rabbits for studying the clearance profile of circulating bacterial DNA. We found that the of E. coli DNA could still be detected 6 h after injecting killed bacteria. The clearance half-lives associated with the 2 phases are 0.37 and 1.81 h. We also explored there is no correlation between the disease severity with the E. coli DNA reads in circulation.

Stephanie C.Y. Yu et al. previously reported that in maternal plasma collected from 13 women after cesarean delivery the final disappearance of circulating fetal DNA occurred at about 1 to 2 days postpartum [10]. Similarly, E. coli DNA could still be detected in the peripheral blood of rabbits after intervention. The results showed that the detection of pathogenic bacteria DNA in the plasma of patients after clinical treatment does not mean that there are still live bacteria in the body. After the bacteria have been completely killed, but the residual bacterial DNA has not been completely eliminated. It is recommended to test again after 6 h to determine the presence of live bacteria at the initial test.

Y. M. Dennis Lo et al. analyzed serial samples of maternal plasma collected at multiple time points within 2 h postpartum to explore the characteristics of fetal DNA metabolism in the maternal plasma after delivery [15]. The present study extended the serial blood sampling to 48 h after we injected them with heated inactivated Escherichia coli in 3 samples. Results from these 3 samples suggest that circulating E. coli DNA is cleared in 2 phases. The clearance half-lives of the two phases were 0.37 and 1.81 h, respectively. We speculate that this biphasic clearance pattern of circulating E. coli DNA may have implications for the underlying mechanisms of DNA removal.

Previous study noted that infected patients experienced a transient increase in inflammatory response after antibiotic treatment, but endotoxin expression was not elevated [16]. We speculate that bacteria killed by antibiotics, their DNA is released into the bloodstream in large quantities. Whether there were correlations between the severity of the disease with circulating concentration of E. coli DNA. But as the results turned out, they were unrelated. Therefore, we can get inspiration that after systematic treatment, the high reads of bacterial DNA do not mean the patient’s condition is serious, which has important reference significance for the clinical treatment of patients with bloodstream infection.

There are 2 limitations in this study. In the present study, due to limited funds, the sample size of our test is relatively small. Additionally, the mechanisms of the two phases leading to rapid and slow bacterial DNA metabolism can be further studied.

Conclusion

After the bacteria were completely killed, their DNA could still be detected in the blood circulation. The metabolism of bacterial DNA in the circulation had two phases: fast and slow phases, and there were no correlations between the level of bacteria reads with the severity of patients’ disease after the bacteria have been completely killed.

Data availability

The sequencing data reported in this study was archived in the Sequnece Read Archive (SRA) with the accession number PRJNA940603, with web link https://submit.ncbi.nlm.nih.gov/subs/sra/.

References

  1. Royer G, Darty MM, Clermont O, Condamine B, Laouenan C, Decousser JW, Vallenet D, Lefort A, de Lastours V, Denamur E. Phylogroup stability contrasts with high within sequence type complex dynamics of Escherichia coli bloodstream infection isolates over a 12-year period. Genome Med. 2021;13(1):77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Mehl A, Åsvold BO, Lydersen S, Paulsen J, Solligård E, Damås JK, Harthug S, Edna TH. Burden of bloodstream infection in an area of Mid-Norway 2002–2013: a prospective population-based observational study. BMC Infect Dis. 2017;17(1):205.

    Article  PubMed  PubMed Central  Google Scholar 

  3. MacKinnon MC, McEwen SA, Pearl DL, Lyytikäinen O, Jacobsson G, Collignon P, Gregson DB, Valiquette L, Laupland KB. Mortality in Escherichia coli bloodstream infections: a multinational population-based cohort study. BMC Infect Dis. 2021;21(1):606.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Abernethy JK, Johnson AP, Guy R, Hinton N, Sheridan EA, Hope RJ. Thirty day all-cause mortality in patients with Escherichia coli bacteraemia in England. Clin Microbiol infection: official publication Eur Soc Clin Microbiol Infect Dis. 2015;21(3):251e251–258.

    Article  Google Scholar 

  5. de Lastours V, Laouénan C, Royer G, Carbonnelle E, Lepeule R, Esposito-Farèse M, Clermont O, Duval X, Fantin B, Mentré F, et al. Mortality in Escherichia coli bloodstream infections: antibiotic resistance still does not make it. J Antimicrob Chemother. 2020;75(8):2334–43.

    Article  PubMed  Google Scholar 

  6. Rossen JWA, Friedrich AW, Moran-Gilad J. Practical issues in implementing whole-genome-sequencing in routine diagnostic microbiology. Clin Microbiol infection: official publication Eur Soc Clin Microbiol Infect Dis. 2018;24(4):355–60.

    Article  CAS  Google Scholar 

  7. Gu W, Miller S, Chiu CY. Clinical metagenomic next-generation sequencing for Pathogen Detection. Annu Rev Pathol. 2019;14:319–38.

    Article  CAS  PubMed  Google Scholar 

  8. Mazuski JE, Sawyer RG, Nathens AB, DiPiro JT, Schein M, Kudsk KA, Yowler C. The Surgical infection Society guidelines on antimicrobial therapy for intra-abdominal infections: an executive summary. Surg Infect. 2002;3(3):161–73.

    Article  Google Scholar 

  9. Thorndike J, Kollef MH. Culture-negative sepsis. Curr Opin Crit Care. 2020;26(5):473–7.

    Article  PubMed  Google Scholar 

  10. Yu SC, Lee SW, Jiang P, Leung TY, Chan KC, Chiu RW, Lo YM. High-resolution profiling of fetal DNA clearance from maternal plasma by massively parallel sequencing. Clin Chem. 2013;59(8):1228–37.

    Article  CAS  PubMed  Google Scholar 

  11. Hyodo M, Samura O, Fujito N, Tanigawa M, Miyoshi H, Fujiwra H, Miharu N, Kudo Y. No correlation between the number of fetal nucleated cells and the amount of cell-free fetal DNA in maternal circulation either before or after delivery. Prenat Diagn. 2007;27(8):717–21.

    Article  CAS  PubMed  Google Scholar 

  12. Lachowicz-Scroggins ME, Dunican EM, Charbit AR, Raymond W, Looney MR, Peters MC, Gordon ED, Woodruff PG, Lefrançais E, Phillips BR, et al. Extracellular DNA, Neutrophil Extracellular Traps, and Inflammasome activation in severe asthma. Am J Respir Crit Care Med. 2019;199(9):1076–85.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Granger V, Taillé C, Roach D, Letuvé S, Dupin C, Hamidi F, Noël B, Neukirch C, Aubier M, Pretolani M, et al. Circulating neutrophil and eosinophil extracellular traps are markers of severe asthma. Allergy. 2020;75(3):699–702.

    Article  PubMed  Google Scholar 

  14. Schlaberg R, Chiu CY, Miller S, Procop GW, Weinstock G, Professional Practice Committee and Committee on Laboratory Practices of the American Society for Microbiology; Microbiology Resource Committee of the College of American Pathologists. Validation of Metagenomic Next-Generation sequencing tests for Universal Pathogen Detection. Arch Pathol Lab Med. 2017 Jun;141(6):776–86. https://doi.org/10.5858/arpa.2016-0539-RA. Epub 2017 Feb 7. PMID: 28169558.

  15. Lo YM, Zhang J, Leung TN, Lau TK, Chang AM, Hjelm NM. Rapid clearance of fetal DNA from maternal plasma. Am J Hum Genet. 1999;64(1):218–24.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Skorup P, Maudsdotter L, Tano E, Lipcsey M, Castegren M, Larsson A, Sjölin J. Dynamics of Endotoxin, inflammatory variables, and Organ Dysfunction after Treatment with Antibiotics in an Escherichia coli Porcine Intensive Care Sepsis Model. Crit Care Med. 2018;46(7):e634–41.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This work was supported by the National Natural Science Foundation for Young Scientists of China (82002074), the Medical Scientific Research Foundation of Guangdong Province (B2021400) and the Science and Technology Program of Guangzhou (202002030338, 202102080237 and 202102080003).

Author information

Authors and Affiliations

Authors

Contributions

ZL and SYZ conceived and designed the study. MTL, and HGD performed the analyses. YW and HSZ wrote the manuscript. HKZ supervised the study. All authors have read and agreed to the published version of the manuscript. All authors read and approved the final manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.

Corresponding author

Correspondence to Hongke Zeng.

Ethics declarations

Ethics approval and consent to participate

This research was approved by the ethics committee of Guangdong Provincial People’s Hospital (No: KY-N-2022-119-01). Only animal experiments are involved. All methods were carried out in accordance with relevant guidelines and regulations and performed following the ARRIVE 2.0 guidelines.

Consent for publication

Not applicable.

Competing interest

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Table S2

. The Pearson correlation between the E. coli DNA concentration and plasma inflammatory cytokine concentration

Table S1

. Clearance half-life of circulating E. coli DNA

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Z., Zhang, S., Liu, M. et al. Bacterial DNA metabolism analysis by metagenomic next-generation sequencing (mNGS) after treatment of bloodstream infection. BMC Infect Dis 23, 392 (2023). https://doi.org/10.1186/s12879-023-08378-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12879-023-08378-7

Keywords