Development of an Energy-Sensitive Detector for the Atom Probe Tomography

A position and energy-sensitive detector has been developed for atom probe tomography (APT) instruments in order to deal with some mass peak overlap issues encountered in APT experiments. Through this new type of detector, quantitative and qualitative improvements could be considered for critical materials with mass peak overlaps, such as nitrogen and silicon in TiSiN systems, or titanium and carbon in cemented carbide materials. This new detector is based on a thin carbon foil positioned on the front panel of a conventional MCP-DLD detector. According to several studies, it has been demonstrated that the impact of ions on thin carbon foils has the effect of generating a number of transmitted and reflected secondary electrons. The number generated mainly depends on both the kinetic energy and the mass of incident particles. Despite the fact that this phenomenon is well known and has been widely discussed for decades, no studies have been performed to date for using it as a means to discriminate particles energy. Therefore, this study introduces the first experiments on a potential new generation of APT detectors that would be able to resolve mass peak overlaps through the energy-sensitivity of thin carbon foils.

Occurrence of the p019 gene in the blaKPC-harbouring plasmids: adverse clinical impact for direct tracking of KPC-producing Klebsiella pneumoniae by MALDI-TOF MS

MALDI-TOF MS has recently been used for the direct detection of KPC-producing isolates by analysis of the 11,109 Da mass peak representing the P019 protein. In this study we evaluate the presence of the 11,109 Da mass peak in a collection of 435 unduplicated K. pneumoniae clinical isolates. The prevalence of the P019 peak in the blaKPC K. pneumoniae isolates was 49.2% (32/65). The 11,109 Da mass peak was not observed in any of the other carbapenemase (319) or non carbapenemase producers (116). Computational analysis of the presence of the p019 gene was performed in the aforementioned carbapenemase-producing K. pneumoniae isolates fully characterized by WGS and in a further collection of 1,649 K. pneumoniae genomes included in EuSCAPE. Herein, we have demonstrated that the p019 gene is not exclusively linked to the pKpQil plasmid, but it is present in the following plasmids: IncFIB(K)/IncFII(K)/ColRNAI, IncFIB(pQil), IncFIB(pQil)/ColRNAI, IncFIB(pQil)/IncFII(K), IncFIB(K)/IncFII(K) and IncX3. Besides, we have proven the independent movement of the Tn4401 and the ISKpn31, of which the p019 gene is a component. The absence of the p019 gene was obvious in Col440I, Col(pHAD28), IncFIB(K)/IncX3/IncFII(K), IncFIB(K)/IncFII(K) plasmids. In addition, we also observed another plasmid in which neither Tn4401 nor ISKpn31 was found, IncP6. In the EuSCAPE, the occurrence of p019 varied from 0% to 100% among the different geographical locations. The adverse clinical impact of the diminished prevalence of the p019 gene within the plasmid encoding KPC-producing Klebsiella pneumoniae puts forward the need for reconsideration when applying this technique in a clinical setting.

Identification of the octahedral coordinated ZrN12+ cationic cluster by mass spectrometry and structural searches

The cationic zirconium-doped nitrogen clusters are produced by laser ablation of Zr:BN mixture target and are detected by TOF mass spectrometry. It is found that the mass peak of ZrN12+...

In Situ Mass Spectrometry Diagnostics of Impaired Glucose Tolerance Using Label-Free Metabolomic Signature

In metabolomics, mass spectrometry is used to detect a large number of low-molecular substances in a single analysis. Such a capacity could have direct application in disease diagnostics. However, it is challenging because of the analysis complexity, and the search for a way to simplify it while maintaining the diagnostic capability is an urgent task. It has been proposed to use the metabolomic signature without complex data processing (mass peak detection, alignment, normalization, and identification of substances, as well as any complex statistical analysis) to make the analysis more simple and rapid. Methods: A label-free approach was implemented in the metabolomic signature, which makes the measurement of the actual or conditional concentrations unnecessary, uses only mass peak relations, and minimizes mass spectra processing. The approach was tested on the diagnosis of impaired glucose tolerance (IGT). Results: The label-free metabolic signature demonstrated a diagnostic accuracy for IGT equal to 88% (specificity 85%, sensitivity 90%, and area under receiver operating characteristic curve (AUC) of 0.91), which is considered to be a good quality for diagnostics. Conclusions: It is possible to compile label-free signatures for diseases that allow for diagnosing the disease in situ, i.e., right at the mass spectrometer without complex data processing. This achievement makes all mass spectrometers potentially versatile diagnostic devices and accelerates the introduction of metabolomics into medicine.

Prognostic Relevance of Left Ventricular Thrombus Motility: Assessment by Pulsed Wave Tissue Doppler Imaging

Pulsed wave tissue Doppler imaging (PW-TDI) easily detects motion of cardiac structures. Hence, PW-TDI could be of value for assessing potentially cardioembolic masses. We sought to evaluate the prognostic value of left ventricular (LV) thrombus mobility assessed by PW-TDI. In 83 consecutive patients with echocardiographically detected LV thrombi, PW-TDI echocardiographic study was performed. At 1-year follow-up, the composite of major adverse cardiovascular events (MACE) defined as all-cause mortality plus hospitalizations for stroke/systemic embolism was evaluated. Seventy-two patients (77.1 ± 13.1 year/old, 32 males) were studied. All thrombi were located at the LV apex. At 1-year follow-up, 17 cardioembolic events occurred. By univariable Cox analysis, variables associated with MACE were heart rate (hazard ratio: 1.02, 95% CI: 1.00-1.05; P = .03), thrombi with mobile free edge (hazard ratio: 3.25, 95% CI: 1.25-8.44; P = .01), hypoechoic thrombi (hazard ratio: 2.86, 95% CI: 1.10-7.42; P = .03), and mass peak antegrade velocity (Va) ≥10 cm/s (hazard ratio: 8.79, 95% CI: 2.00-38.5; P = .004). By multivariable analysis, thrombi with mobile free edge (hazard ratio: 3.54, 95% CI: 1.23-10.2; P = .02), and mass peak Va ≥10 cm/s (hazard ratio: 7.97, 95% CI: 1.60-39.6; P = .01) retained statistical significance. Mass peak Va ≥10 cm/s predicted the composite end point with 94% sensitivity and 85% specificity (area under the curve = 0.86). In conclusion, PW-TDI allows objective prognostication of LV thrombi embolic risk.

Antibiotic Resistance and Molecular Epidemiological Characteristics of Streptococcus agalactiae Isolated from Pregnant Women in Guangzhou, South China

Streptococcus agalactiae colonization in pregnant women can cause postpartum intrauterine infections and life-threatening neonatal infections. To formulate strategies for the prevention and treatment of S. agalactiae infections, we performed a comprehensive analysis of antibiotic resistance and a molecular-based epidemiological investigation of S. agalactiae in this study. Seventy-two S. agalactiae strains, collected from pregnant women, were subjected to antibiotic susceptibility tests; then, the screened erythromycin and clindamycin nonsusceptible isolates were used for macrolides and clindamycin resistance genes detection, respectively. Detection of resistance genes, serotyping, and determination of virulence genes were performed by polymerase chain reaction. The clonal relationships among the colonized strains were evaluated by multilocus sequence typing. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) mass peak analysis was performed to discriminate the specific sequence types (STs). In our study, 69.4% and 47.2% of the strains were nonsusceptible to erythromycin and clindamycin, respectively; the multidrug resistance rate was 66.7%. All erythromycin nonsusceptible strains harbored resistance genes, whereas only 52.9% of the clindamycin nonsusceptible strains possessed the linB gene. Erythromycin resistance was mainly mediated by the ermB or mefA/E genes. Four serotypes were identified, and the most common serotype was serotype III (52.8%), followed by Ib (22.2%), Ia (18.0%), and II (4.2%). All the strains were divided into 18 STs that were assigned to nine clonal complexes. Most of the major STs were distributed into specific serotypes, including ST19/serotype III, ST17/serotype III, ST485/serotype Ia, ST862/serotype III, and ST651/serotype III. Analysis of virulence genes yielded seven clusters, of which bca-cfb-scpB-lmb (61.6%) was the predominant virulence gene cluster. Among all ST strains distributed in this region, only the ST17 strains had a mass peak at 7620 Da. The outcomes of this study are beneficial for the epidemiological comparison of colonized S. agalactiae in different regions and may be helpful for developing the strategies for the prevention of S. agalactiae infection in Guangzhou. Furthermore, our results show that MALDI-TOF MS can be used for the rapid identification of the ST17 strains.

Conserved mass peaks in MALDI-TOF mass spectra of bacterial species at the genus and species levels

Microbes are identified based on their distinguishing characteristics such as gene sequence or metabolic profile. Nucleic acid approaches such as 16S rRNA gene sequencing provide the gold standard method for microbial identification in the contemporary era. However, mass spectrometry-based microbial identification is gaining credence through ease of use, speed, and reliability. Specifically, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been used in identifying bacteria, fungus, molds and archaea to the species level with high accuracy. The approach relies on the existence of unique mass spectrum fingerprint for individual microbial species. By comparing the mass spectrum of an unknown microbe with that catalogued in a reference database of known microorganisms, microbes could be identified through mass spectrum fingerprinting. However, the approach lacks fundamental biological basis given the relative difficulty in assigning specific protein to particular mass peak in the profiled mass spectrum, which hampers a deeper understanding of the mass spectrum obtained. This study seeks to examine the existence of conserved mass peaks in MALDI-TOF mass spectra of bacteria at the species and genus levels using open access data from SpectraBank. Results revealed that conserved mass peaks existed for all bacterial species examined. Large number of conserved mass peaks such as that of Escherichia coli and Morganella morganii suggested more closely-related strains of a species though functional annotation of the mass peaks is required to provide a deeper understanding of the mechanisms underlying the conservation of specific proteins. On the other hand, strains of Staphylococcus aureus and Pseudomonas putida had the least number of conserved mass peaks. Presence of conserved mass peaks in many genus provided further evidence that MALDI-TOF MS microbial identification had a biological basis in identification of microbial species to the genus level. In addition, it also highlighted that a subset of proteins could define the taxonomical boundary between the species and genus level. Finally, existence of only one conserved mass peak in Bacillus genus corroborated the difficulty of discriminating Bacillus species based on MALDI-TOF mass spectra. Similarly, no conserved mass peak at the genus level could be found for the Staphylococcus genus. Overall, existence of conserved mass peaks of bacteria at the species and genus levels provided evidence of a firm biological basis in the mass spectrum fingerprinting approach of MALDI-TOF MS microbial identification. This could help identify specific species in mass spectrum of single or multiple microbial species. Further functional annotation of the conserved mass peaks could illuminate in greater detail the biological mysteries of why certain proteins are conserved in specific genus and species.

Conserved mass peaks in MALDI-TOF mass spectra of bacterial species at the genus and species levels

Microbes are identified based on their distinguishing characteristics such as gene sequence or metabolic profile. Nucleic acid approaches such as 16S rRNA gene sequencing provide the gold standard method for microbial identification in the contemporary era. However, mass spectrometry-based microbial identification is gaining credence through ease of use, speed, and reliability. Specifically, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been used in identifying bacteria, fungus, molds and archaea to the species level with high accuracy. The approach relies on the existence of unique mass spectrum fingerprint for individual microbial species. By comparing the mass spectrum of an unknown microbe with that catalogued in a reference database of known microorganisms, microbes could be identified through mass spectrum fingerprinting. However, the approach lacks fundamental biological basis given the relative difficulty in assigning specific protein to particular mass peak in the profiled mass spectrum, which hampers a deeper understanding of the mass spectrum obtained. This study seeks to examine the existence of conserved mass peaks in MALDI-TOF mass spectra of bacteria at the species and genus levels using open access data from SpectraBank. Results revealed that conserved mass peaks existed for all bacterial species examined. Large number of conserved mass peaks such as that of Escherichia coli and Morganella morganii suggested more closely-related strains of a species though functional annotation of the mass peaks is required to provide a deeper understanding of the mechanisms underlying the conservation of specific proteins. On the other hand, strains of Staphylococcus aureus and Pseudomonas putida had the least number of conserved mass peaks. Presence of conserved mass peaks in many genus provided further evidence that MALDI-TOF MS microbial identification had a biological basis in identification of microbial species to the genus level. In addition, it also highlighted that a subset of proteins could define the taxonomical boundary between the species and genus level. Finally, existence of only one conserved mass peak in Bacillus genus corroborated the difficulty of discriminating Bacillus species based on MALDI-TOF mass spectra. Similarly, no conserved mass peak at the genus level could be found for the Staphylococcus genus. Overall, existence of conserved mass peaks of bacteria at the species and genus levels provided evidence of a firm biological basis in the mass spectrum fingerprinting approach of MALDI-TOF MS microbial identification. This could help identify specific species in mass spectrum of single or multiple microbial species. Further functional annotation of the conserved mass peaks could illuminate in greater detail the biological mysteries of why certain proteins are conserved in specific genus and species.