Pathology consultation on matrix-assisted laser desorption ionization-time of flight mass spectrometry for microbiology

Global health systems' data science approach for precision diagnosis of sepsis in early life

Neonates and children in low-income and middle-income countries (LMICs) contribute to the highest number of sepsis-associated deaths globally. Interventions to prevent sepsis mortality are hampered by a lack of comprehensive epidemiological data and pathophysiological understanding of biological pathways. In this review, we discuss the challenges faced by LMICs in diagnosing sepsis in these age groups. We highlight a role for multi-omics and health care data to improve diagnostic accuracy of clinical algorithms, arguing that health-care systems urgently need precision medicine to avoid the pitfalls of missed diagnoses, misdiagnoses, and overdiagnoses, and associated antimicrobial resistance. We discuss ethical, regulatory, and systemic barriers related to the collection and use of big data in LMICs. Technologies such as cloud computing, artificial intelligence, and medical tricorders might help, but they require collaboration with local communities. Co-partnering (joint equal development of technology between producer and end-users) could facilitate integration of these technologies as part of future care-delivery systems, offering a chance to transform the global management and prevention of sepsis for neonates and children.

Differentiating Streptococcus pseudoporcinus from GBS: could this have implications in pregnancy?

BACKGROUND

Streptococcus agalactiae (GBS) is a common pathogen known to cause neonatal and maternal infectious morbidity. Streptococcus pseudoporcinus (S pseudoporcinus) is a separate, recently identified β-hemolytic gram-positive coccus that can cause false-positive results on standard GBS agglutination testing assays.

OBJECTIVE

To determine the prevalence and clinical implications of Streptococcus pseudoporcinus colonization in pregnancy.

MATERIALS AND METHODS

This is a 2-year retrospective cohort study comparing pregnant women colonized with GBS to those colonized with S. pseudoporcinus. A proteomics method of identification, namely, matrix-assisted laser desorption ionization time-of-flight mass spectrometry, was used to distinguish between S. pseudoporcinus and GBS colonization. Antibiotic susceptibility testing was carried out on all specimens. Maternal and neonatal chart reviews were conducted to identify predictors of S. pseudoporcinus colonization and to compare maternal and neonatal outcomes.

RESULTS

S. pseudoporcinus colonization occurred in 1.6% of all pregnancies. A total of 2.5% of all GBS-positive results by agglutination assay were false positive, instead reflecting S. pseudoporcinus colonization. Clindamycin resistance among S. pseudoporcinus isolates is uncommon. S. pseudoporcinus colonization in pregnancy is independently associated with African American race, tobacco use, and body mass index ≥35. Preterm premature rupture of membranes or spontaneous preterm birth was more common in patients colonized with S. pseudoporcinus.

CONCLUSION

Although the prevalence of S. pseudoporcinus colonization is low, it primarily occurs in African American women and is associated with preterm premature rupture of membranes or spontaneous preterm birth when compared to individuals colonized with GBS.

Diagnosing sepsis - The role of laboratory medicine

Sepsis is the host response to microbial pathogens resulting in significant morbidity and mortality. An accurate and timely diagnosis of sepsis allows prompt and appropriate treatment. This review discusses laboratory testing for sepsis because differentiating systemic inflammation from infection is challenging. Procalcitonin (PCT) is currently an FDA approved test to aid in the diagnosis of sepsis but with questionable efficacy. However, studies support the use of PCT for antibiotic de-escalation. Serial lactate measurements have been recommended for monitoring treatment efficacy as part of sepsis bundles. The 2016 sepsis consensus definitions include lactate concentrations >2mmol/L (>18mg/dL) as part of the definition of septic shock. Also included in the 2016 definitions are measuring bilirubin and creatinine to determine progression of organ failure indicating worse prognosis. Hematologic parameters, including a simple white blood cell count and differential, are frequently part of the initial sepsis diagnostic protocols. Several new biomarkers have been proposed to diagnose sepsis or to predict mortality, but they currently lack sufficient sensitivity and specificity to be considered as stand-alone testing. If sepsis is suspected, new technologies and microbiologic assays allow rapid and specific identification of pathogens. In 2016 there is no single laboratory test that accurately diagnoses sepsis.

Practical Utility and Accuracy of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Identification of Corynebacterium Species and Other Medically Relevant Coryneform-Like Bacteria

BACKGROUND

Corynebacterium species and gram-positive coryneform-like bacteria (coryneforms) are increasingly reported causes of opportunistic infections in immunocompromised patients. Biochemical identification methods for these bacteria are often inaccurate. We evaluated matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) for routine Corynebacterium and coryneform identification.

METHODS

A total of 286 Corynebacterium species and coryneforms recovered from patients were identified by MALDI-TOF MS analysis using the Bruker Microflex instrument, Biotyper software version 3.0, and database version 3.1.66 (Bruker Daltonics, Billerica, MA) following formic acid-based, direct on-plate extraction. The spectral cutoff scores used for interpretation were 2.0 or more for species-level identification and 1.7 or more for genus level. Scores lower than 1.7 were considered as no reliable identification. The results were compared with API Coryne (bioMérieux, Durham, NC) and sequencing of 16S ribosomal RNA genes.

RESULTS

Of the 231 Corynebacterium (19 species), 99.6% were correctly identified to the genus level and 88.7% to the species level. Of the 55 coryneforms (14 genera), 90.9% were correctly identified to the genus level and 67.3% to the species level. API Coryne was able to identify 89.2% of Corynebacterium species (species level) and 63.6% of coryneforms (genus level).

CONCLUSIONS

Rapid on-plate testing yielded identification of more Corynebacterium species and related bacteria than biochemical methods.

Recognition of Streptococcus pseudoporcinus Colonization in Women as a Consequence of Using Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Group B Streptococcus Identification

During a 14-month period of using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) for group B streptococcus (GBS) identification, we recovered 32 (1%) Streptococcus pseudoporcinus isolates from 3,276 GBS screening cultures from female genital sources (25 isolates from pregnant women and 7 from nonpregnant women). An additional two S. pseudoporcinus isolates were identified from a urine culture and a posthysterectomy wound culture. These isolates were found to cross-react with three different GBS antigen agglutination kits, PathoDx (Remel) (93%), Prolex (Pro-Lab Diagnostics) (38%), and Streptex (Remel) (53%). New approaches to bacterial identification in routine clinical microbiology laboratories may affect the prevalence of S. pseudoporcinus.

Enhancing MALDI time-of-flight mass spectrometer performance through spectrum averaging

Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometers are simple and robust mass spectrometers used for analysis of biologically relevant molecules in diverse fields including pathogen identification, imaging mass spectrometry, and natural products chemistry. Despite high nominal resolution and accuracy, we have observed significant variability where 30–50% of individual replicate measurements have errors in excess of 5 parts-per-million, even when using 5-point internal calibration. Increasing the number of laser shots for each spectrum did not resolve this observed variability. What is responsible for our observed variation? Using a modern MALDI-TOF/TOF instrument, we evaluated contributions to variability. Our data suggest a major component of variability is binning of the raw flight time data by the electronics and clock speed of the analog-to-digital (AD) detection system, which requires interpolation by automated peak fitting algorithms and impacts both calibration and the observed mass spectrum. Importantly, the variation observed is predominantly normal in distribution, which implies multiple components contribute to the observed variation and suggests a method to mitigate this variability through spectrum averaging. Restarting the acquisition impacts each spectrum within the electronic error of the AD detector system and defines a new calibration function. Therefore, averaging multiple independent spectra and not a larger number of laser shots leverages this inherent binning error to mitigate variability in accurate MALDI-TOF mass measurements.