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PubMed2026

Burkholderia arboris bacteremia initially identified as Burkholderia cepacia complex: a genome-based case report.

We report a bloodstream Burkholderia arboris isolate from a 75-year-old man without cystic fibrosis. The organism was recovered from both aerobic bottles of two separately collected blood-culture sets and was initially assigned to the Burkholderia cepacia complex (Bcc) by matrix-assisted laser desorption ionization-time-of-flight mass spectrometry. Whole-genome sequencing yielded three circular chromosomes and one circular plasmid. DFAST_QC identified B. arboris as the only type-strain match above the species threshold, with an average nucleotide identity of 99.48%; the next-highest match was B. seminalis at 93.33%. Multilocus sequence typing identified ST-2575, and ResFinder detected no acquired antimicrobial resistance genes. The patient improved after 14 days of meropenem therapy without recurrent B. arboris bacteremia. This report adds a clinically supported bloodstream infection, a complete genome resource, and detailed susceptibility data, while illustrating the importance of up-to-date reference genomes for species-level interpretation of unusual Bcc isolates.

Humans↗

PubMed2026

Rapid glycomic analysis of serum EVs reveals altered N-glycosylation patterns in ASD.

Objective laboratory diagnostics for autism spectrum disorder (ASD) are lacking, necessitating rapid clinical screening tools. Because serum extracellular vesicle (EV) N-glycosylation captures critical neurodevelopmental signatures, we developed a fast, biologically interpretable diagnostic strategy. EVs from ASD patients with language impairment and neurotypical controls were isolated using a rapid extra-polyethylene glycol precipitation/filtration (EPF) workflow, benchmarked against ultracentrifugation. Following MALDI-TOF/MS profiling, machine learning was re-evaluated using repeated nested cross-validation to reduce optimistic bias and potential information leakage. Among five classifiers, Random Forest (RF) showed the best overall balance across discrimination, calibration, and classification metrics. RF-based SHAP analysis provided transparent interpretation, highlighting key discriminative glycans, including H4N3S1F1, H5N5S1F1, and H3N5F1. To elucidate molecular mechanisms, we integrated public EV transcriptomic data. This revealed significant dysregulation of N-glycosylation machinery genes (e.g., MAN1A1, NEU1, OSTC, RPN2), whose expression directionally aligned with observed glycan shifts in synaptic pathways. Collectively, this rapid serum EV N-glycomic workflow, combined with leakage-controlled RF-based interpretation, provides a promising foundation for non-invasive ASD biomarker discovery and future multicenter validation.

Humans↗

PubMed2026

A Strain of Mycoplasma hominis Causing Pleuropneumonia Infection in an Immunocompetent Patient and Recent Epidemiological Trends: Implications for Clinical Management.

Mycoplasma hominis (M. hominis) is an opportunistic pathogen linked to urogenital and neonatal infections; however, limited genetic and epidemiological data are available. Extragenital infections in healthy adults are rare, and effective antibiotics are species-specific, complicating diagnosis and treatment. Hence, this study aimed to elucidate the clinical process, update the epidemiological characteristics, and investigate the genomic features of a fluoroquinolone-resistant M. hominis isolate from an immunocompetent patient with pleuropneumonia in China. The M. hominis isolate ZY_MH01 was recovered from pleural fluid and was identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and Whole Genome Sequencing (WGS). The completed genome was annotated using the NCBI Prokaryotic Genome Annotation Pipeline (PGAP). Snippy v4.4.5 was utilized to conduct a core genome single nucleotide polymorphism (cgSNP) analysis between ZY_MH01 and 144 M. hominis strains from the NCBI GenBank database. Subsequently, phylogenies were constructed using IQ-TREE v3.1.2 and visualized by iTOL. Antimicrobial resistance determinants were identified using strict criteria of Comprehensive Antibiotic Resistance Database (CARD) RGI 6.0.5 (Web portal) and broth microdilution test. Virulence genes were screened using Abricate v1.0.1 against the Virulence Factor Database (VFDB). A total of 42 strains (including ZY_MH01) from Genbank with an assembly level of Complete or Chromosome were re-annotated using Prokka v1.2.0 and pangenome analysis was performed using the Roary. The core genome constitutes only 17.1%, which may contribute to the unusually high level of polymorphism observed among M. hominis strains. No antibiotic resistance genes or virulence genes were detected in the genome of ZY_MH01. However, some resistance-associated mutations of gene parC and gyrA in the Quinolone Resistance Determining Region (QRDR) were identified. Phylogenetic analysis indicates that strains originating from the same geographic region typically exhibit reduced genetic distances; this trend is especially pronounced in regions with a higher number of publicly available strain sequences. In specific circumstances, when conventional broad-spectrum antibiotics are ineffective, even immunocompetent patients should consider the possibility of M. hominis infection. This study presents a detailed account of the diagnostic and therapeutic course of a pleuropneumonia infection caused by M. hominis in an immunocompetent patient, and performs an epidemiological analysis of all M. hominis sequences that have been recently made publicly available.

Humans↗

PubMed2026

Toxicoproteomic analysis reveals arsenic-induced alterations in eye lens proteins of Labeo rohita.

Arsenic occurs extensively in the environment and is classified as a potent carcinogenic substance in humans. Prolonged intake of water contaminated with arsenic results in the development of arsenicosis. In the present study, a toxicoproteomic approach was employed to elucidate arsenic-induced alterations in lens proteins using a fish model. Juveniles of Labeo rohita were exposed to sodium meta-arsenite (NaAsO2) at concentrations of 5, 10, 15, and 20 ppm for a period of 10 days in triplicate experimental groups. Soluble lens proteins were analyzed using one- and two-dimensional gel electrophoresis, immunoblotting of αA-crystallin and MALDI-TOF mass spectrometry. Cataract development was observed at arsenic concentrations ≥ 15 ppm. Proteomic analyses revealed concentration-dependent alterations in lens protein abundance, including significant reductions in βB1, βB2, and βA2b-crystallin, small heat shock protein and skeletal α-actin (p < 0.05). In addition, αA, βA2, and βA2a-crystallin exhibited reduced abundance trends, although these changes were not statistically significant. Two-dimensional immunoblotting revealed 15 distinct αA-crystallin isoforms in control lenses, several of which showed a progressive decrease with increasing arsenic exposure, culminating in complete degradation at 20 ppm. These findings demonstrate that arsenic exposure is associated with substantial alterations in lens crystallins and other proteins involved in structural organization and protein homeostasis, coinciding with cataract development at higher exposure concentrations. The identified proteins may serve as potential toxicoproteomic biomarkers of lens damage in aquatic organisms and provide a foundation for future studies investigating the molecular mechanisms of arsenic-induced lens toxicity.

Animals↗

PubMed2025

Biomarker identification through spatial proteomics for the characterization of indeterminate thyroid nodules.

PURPOSE: The identification of novel molecular biomarkers may assist in the characterization of indeterminate thyroid nodules, which pose significant diagnostic challenges. Here, we aimed to explore the potential of proteomic analyses to support biomarker discovery in challenging thyroid lesions. METHODS: Linear Discriminant Analysis (LDA) was applied to Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging (MALDI-MSI) data from 44 thyroid neoplasms to select the most impactful molecular features for the classification of different tumor histologies, as well as for the distinction between NRAS-mutant (mNRAS) and NRAS-wild-type (wtNRAS) tumors. Relevant peaks were subsequently identified through nanoscale liquid chromatography electrospray ionization tandem mass spectrometry (nLC-ESI-MS/MS). RESULTS: The LDA selected nine relevant molecular markers distinguishing noninvasive follicular thyroid neoplasms with papillary-like nuclear features (NIFTPs) from other tumor histologies (balanced accuracy = 73%), as well as 19 relevant markers able to identify mNRAS cases (balanced accuracy = 84%). Nine differentially expressed proteins were putatively identified: among them, ATP-dependent RNA helicase DDX42 showed a similar distribution between NIFTPs and papillary thyroid carcinomas (PTCs) / follicular variant PTCs (FVPTCs), while the distribution of the Histone H4 signal was similar between NIFTPs and follicular adenomas (FAs). In addition, Protein disulfide-isomerase A1 and Complement C4-B were overexpressed in wtNRAS compared to mNRAS cases, regardless of histology. CONCLUSION: The LDA-selected features enable to distinguish NIFTPs from morphologically similar lesions and to discriminate between mNRAS and wtNRAS cases. The identified markers might complement genetic analyses and provide insights into the distinct pathogenic drivers behind the development of mNRAS compared to wtNRAS lesions.

Humans↗

PubMed2026

Routine methods misidentify Serratia spp.: Limitations of MALDI-TOF MS revealed by whole-genome sequencing.

Accurate species-level identification within the genus Serratia remains challenging due to extensive phenotypic overlap and high genomic relatedness among closely related and recently described taxa. This study presents an evaluation of routine and genome-based identification approaches applied to clinical Serratia isolates, integrating phenotypic assays, MALDI-TOF MS (Bruker Daltonics), 16S rRNA gene sequencing, and Whole-Genome Sequencing (WGS). A total of 103 isolates collected from a teaching hospital were analyzed. WGS was performed on a subset of isolates. Conventional biochemical methods classified all isolates as Serratia marcescens, whereas MALDI-TOF MS identified 60.1% as S. marcescens, 11.6% as S. ureilytica, and 28.1% just at the genus level. Peak analysis from MALDI-TOF MS revealed specific peaks associated with S. marcescens and S. ureilytica, but limited discriminatory power. WGS of six isolates initially identified as S. ureilytica by MALDI-TOF MS revealed reclassification as Serratia sarumanii (n = 5) and Serratia montpellierensis (n = 1), supported by Average Nucleotide Identity (ANI), Average Amino Acid Identity (AAI), and Digital DNA-DNA Hybridization (dDDH) thresholds. In contrast, 16S rRNA analysis showed limited species-level resolution. Phylogenomic and SNP-based analyses confirmed these classifications with strong support. Overall, this study underscores the critical role of high-resolution genomic approaches for precise species identification and highlights the need for continuous expansion and curation of MALDI-TOF MS reference databases to support reliable clinical diagnostics and epidemiological surveillance of emerging Serratia species.

Spectrometry, Mass, Matrix-Assisted Laser Desorpti↗

PubMed2026

First insights into the role of evolutionary history in shaping venom composition of Vipera ammodytes.

Understanding intraspecific venom variation requires distinguishing the contributions of neutral population history from natural selection. This study aims to determine whether venom variation in Vipera ammodytes species complex is structured across eight phylogenetic groups. Despite a complex evolutionary history, venom composition did not differ among phylogenetic groups within the analytical framework used, suggesting that shared ancestry alone does not explain venom variation. Whether local adaptation to environmental conditions explains the observed variation remains an open question for future studies.

Animals↗

PubMed2026

Dual-Matrix Platform for Highly Specific Multi-Omics Profiling of Renal Cell Carcinoma.

Multiomics interrogation provides complementary information beyond single-omics approaches for improved disease characterization. To enable such multilayer profiling, we expanded the rapid functionalized mesoporous nanoparticle-coupled laser desorption/ionization mass spectrometry (fMNPLDI-MS) platform by designing two structurally homologous but functionally tailored fMNPs. This design enables efficient acquisition of both serum metabolic and peptide fingerprints from a total of only 2.05 μL of serum, with an LDI MS analysis time of approximately 90 s per sample, while addressing the limitation of single-matrix systems in simultaneously optimizing analytical performance for different biomolecular species. Through statistical analysis and machine learning-based feature selection, an integrated multiomics biomarker panel was established, comprising 5 peptides and 4 metabolites. Notably, this integrated panel outperformed both single-omics panels across all evaluation metrics in the validation set, improving the area under curve from 0.985 to 1.000 and increasing the classification accuracy from 0.947 (metabolites) and 0.930 (peptides) to 0.965, while showing consistent improvements in F1-score, precision, and recall. Collectively, these results demonstrate the robust performance of the dual-matrix design and multiomics integration for renal cell carcinoma classification, with potential relevance for broader applications in complex disease profiling.

Carcinoma, Renal Cell↗

PubMed2026

Strategy for Simultaneous Multiomic Survey of N-Glycomic and Extracellular Matrix Proteome by Mass Spectrometry Imaging.

Recent advances in spatially resolved molecular profiling have positioned matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) as a powerful platform for multiomic tissue analyses. However, conventional workflows that sequentially target distinct molecular classes are time- and resource-intensive, requiring repeated sequential sample preparation, imaging, and data integration. Here, we evaluate streamlined strategies for simultaneous or combined acquisition of N-glycan and collagen-derived peptide information using PNGase F and collagenase. In-solution studies demonstrate that simultaneous enzymatic digestion yields comparable peptide identifications and glycan profiles relative to traditional sequential workflows, with minimal impact on enzymatic specificity. On the basis of these findings, we developed and optimized MALDI-MSI protocols enabling either simultaneous enzyme application or sequential enzyme treatment with unified matrix deposition and single-pass imaging. While direct coapplication reduced image uniformity, a hybrid approach that used sequential enzyme deposition with combined imaging preserved spatial fidelity and spectral quality while significantly reducing processing and computational demands. Application to human tissues, including vertebral bone and ocular samples, highlights the utility of this workflow for fragile specimens and exploratory multiomic surveys. Collectively, these results establish a framework for integrated glycomic and proteomic imaging targeting the extracellular microenvironment, expanding multiomic MALDI-MSI analyses.

Spectrometry, Mass, Matrix-Assisted Laser Desorpti↗

PubMed2026

Comparative evaluation of molecular technologies for the identification of prevalent non-tuberculous mycobacteria in pulmonary infections: a systematic review and meta-analysis.

BACKGROUND: The increasing prevalence of non-tuberculous mycobacteria pulmonary disease (NTM PD) is a burden to public health. Successful management of NTM PD critically depends on accurate species identification and reliable drug susceptibility testing to guide appropriate antibiotic therapy. Emerging molecular technologies offer rapid diagnostic solutions compared to conventional methods, but their performance varies. This study aims to provide a comprehensive evaluation of current molecular techniques for NTM identification and to present a global antibiotic resistance profile. METHODS: A systematic literature search was conducted in PubMed and Web of Science for studies published between 2005 and 2024. Studies applying molecular methods for NTM identification and resistance detection in humans were included. Data on study characteristics, diagnostic methods, sample types, sample sizes, identification sensitivity, and drug susceptibility results were extracted. Meta-analysis was performed using R with the meta4diag package. The quality of included studies was assessed using the QUADAS-2 tool. RESULTS: The analysis included 49 studies on NTM identification and 33 studies on antibiotic resistance. For species identification, all evaluated molecular technologies (MALDI-TOF MS, PCR-based methods, Sequencing, DNA chip, and DNA strip) demonstrated high pooled sensitivities (>0.92). Subgroup analysis revealed that sample type significantly affected performance for MALDI-TOF MS. Preliminary analysis of antibiotic resistance rates revealed varying patterns. For slowly growing mycobacteria, a significantly high Ethambutol resistance rate was observed in M. avium (69.20%). Among rapidly growing mycobacteria, resistance to Imipenem was notable (54.22%), and Clarithromycin resistance varied significantly within the Mycobacterium abscessus complex. CONCLUSION: Emerging molecular technologies have revolutionized the methodology for NTM identification with excellent performance. However, their performance can be influenced by sample type, particularly for MALDI-TOF MS. The alarming and heterogeneous antibiotic resistance patterns also highlight the critical need for rapid and accurate species identification and drug susceptibility testing to inform effective therapeutic strategies. Key messagesMolecular technologies demonstrate high accuracy for NTM identification.Antibiotic resistance is a serious concern with variations among NTM species and subspecies.Rapid and accurate species identification and drug susceptibility testing are crucial for guiding effective clinical management of NTM PD.

Humans↗

PubMed2025

Comparison of whole-genome sequencing-based analysis methods for taxonomic classification of isolates unclassified by MALDI-TOF MS.

Taxonomic identification of clinical isolates is routinely achieved using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). If the species cannot be reliably identified, whole-genome sequencing can be applied. The aim of this study was to compare the results of approaches for taxonomic assignment for classification of isolates that are difficult to identify. Fifty-seven isolates were included in the study. The isolates were whole-genome sequenced and de novo assembled. Assembly-based classification was performed with the Genome Taxonomy Database Toolkit (GTDB-Tk), BLAST against 16S rRNA gene databases, the Type (Strain) Genome Server (TYGS), and ribosomal MLST (rMLST). Read-based classification was performed with MetaPhlAn4 and Kraken2. Thirty-two isolates were assigned to the same species with all four assembly-based classifiers, while the remaining 25 showed diverging assignments. When evaluating the results for the latter isolates, GTDB-Tk performed better than the other classifiers regarding which assignments were most likely correct. Of the read-based classifiers, MetaPhlAn4 performed better than Kraken2. Our evaluation identified GTDB-Tk to be the strongest tool for taxonomic assignment of isolates that are difficult to identify. Disagreements between classifiers are likely due to database limitations, wrongly assigned taxonomy, or unreliable 16S rRNA gene-based assignments.

Spectrometry, Mass, Matrix-Assisted Laser Desorpti↗

PubMed2026

Effectiveness of mass spectrometry and genomic analysis in the surveillance of nontuberculous Mycobacterium in Taiwan.

Nontuberculous mycobacteria (NTM) are diverse, and species-level identification remains challenging in routine diagnostics. We analyzed NTM isolates collected at three regional centers of the National Taiwan University Hospital (NTUH) from 2019 to 2024 to assess geographic variation and identification performance after implementation of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Among 3,188 cases meeting the microbiological criteria for probable pulmonary NTM disease, the species distribution differed by region: Mycobacterium avium complex predominated in central Taiwan (Yunlin, 47.3%), whereas M. abscessus complex (Taipei, 26.5%) and M. kansasii (Hsinchu, 12.4%) were more common in northern Taiwan. In 2019, 14.5% of isolates were reported to be unidentified by MALDI-TOF MS; with workflow optimization and database updates, this percentage decreased but plateaued at 4.5-4.8%. Whole-genome sequencing (WGS) of 61 randomly selected persistently unidentified isolates revealed eight average nucleotide identity (ANI)-defined clusters; 55 isolates (90.2%) could not be assigned to known species using current reference databases. Two clusters detected only in Hsinchu were phylogenetically closest to M. kyorinense, with ANI values below the species demarcation threshold. Overall, we observed marked regional heterogeneity of NTM in Taiwan and a persistent identification gap that remained after MALDI-TOF MS optimization and follow-up WGS.IMPORTANCEThis study characterized regional differences in the NTM species distribution across Taiwan, and the results highlight the limitations of current identification approaches. MALDI-TOF MS identifies most isolates, but locally circulating lineages represent a persistent gap in global reference libraries. Even with whole-genome sequencing (WGS), 90.2% (55/61) of persistently unresolved isolates could not be assigned to known species in the current reference databases despite the formation of clear ANI- and phylogeny-defined clusters. These findings show that both proteomic and genomic reference resources for clinical NTM remain incomplete. Expanding regionally representative databases and performing WGS for isolates that remain unresolved by MALDI-TOF MS will be necessary to improve species-level resolution for surveillance and clinical interpretation.

Taiwan↗

PubMed2026

Identification and in-depth characterization of clinical isolates of Peribacillus frigoritolerans.

UNLABELLED: Peribacillus frigoritolerans is a bacterial species commonly found in the environment and used as a plant-growth promoter and biocontrol agent in agriculture. Recent evidence has proven that Peribacillus spp. are also able to cause severe infections in humans, thus emerging as new human pathogens. In this study, for the first time, 10 P. frigoritolerans strains were isolated from human samples (both superficial and sterile deep body sites) and characterized in terms of morphology, lifestyle, genetics, and virulence. The molecular identification by MALDI-TOF mass spectrometry and 16S rRNA gene sequencing was inconclusive, while whole-genome sequencing was effective in properly identifying isolates within the species P. frigoritolerans. The pangenome analysis provided an overview of the virulence potential of P. frigoritolerans, revealing the presence of genes involved in antibiotic resistance and toxin/exoenzyme production. Phenotypically, the strains displayed different features and behaviors, indicating strain-specific properties and high intra-species variability. A part of the strains exhibited virulence factors, being able to swim and swarm, form biofilms, and produce enzymes and toxins. Antibiotic susceptibility testing revealed resistance to ampicillin for all strains and resistance to erythromycin and clindamycin for some of them. Antimicrobial activity against Gram-positive bacteria and fungi was demonstrated, further corroborating the presence of putative bacteriocin/antimicrobial peptide-encoding genes. An association between the overall virulence potential and infection site/severity was hypothesized. Altogether, these findings highlight the extreme diversity within the species, reveal the strain-dependent pathogenic potential of P. frigoritolerans, and support its role as a candidate human pathogen. IMPORTANCE: This study provides insights into the infectious role of Peribacillus frigoritolerans, an almost unknown bacterial species with agrobiotechnological potential but no history of human infections. This is the first report of P. frigoritolerans isolation from human clinical samples. Ten P. frigorit-olerans strains were herein characterized for their morphology, lifestyle, genetics, and virulence, highlighting an extreme intra-species variability and the potential to act as pathogens in humans. Importantly, this study points out the need for unconventional methods for proper identification of this species, since traditional techniques result inconclusive. Resistance to commonly prescribed antibiotics was also evidenced, confirming the importance of antimicrobial testing on clinical iso-lates. This study lays the foundation for a more in-depth characterization of Peribacillus spp. in the clinical context.

Humans↗

PubMed2025

Novel, rapid, and reliable typing of vancomycin-resistant Enterococcus faecium CC17/ST80 strains using MALDI-TOF MS.

Vancomycin-resistant Enterococcus faecium (VREfm) is an important nosocomial pathogen. The recent emergence of the highly virulent clonal complex 17 (CC17) is posing a challenge for both therapeutic interventions and hospital infection control measures. Hence, prompt discrimination of CC17 VREfm from unrelated and less-virulent VREfm strains is essential for preventing its spread in hospitals and beyond. Between January 2022 and November 2024, 340 VREfm primary isolates have been identified in our lab and underwent genotyping by pulsed-field gel electrophoresis (PFGE) to survey a potential outbreak in the Tyrol region. In addition, whole-genome sequencing (WGS) was performed on a selected subset (n = 40). To curtail the lengthy time-to-result (TTR) of these methods, a novel typing protocol using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was established, validated, and optimized for rapid sample processing. PFGE and WGS showed that 61.2% of isolates (n = 208) belonged to a specific VREfm cluster identified as CC17 sequence type (ST) 80 vanA VREfm. A comprehensive MALDI-TOF MS analysis identified a distinct peak pattern specific to this lineage. This phenotypic characterization was used as a novel typing method with excellent performance (sensitivity: 1.00 [0.98-1.00], specificity: 0.89 [0.70-0.97]) and demonstrated a short TTR of 1 day after the cultural growth of VREfm. A rapid and novel MALDI-TOF MS-based typing approach for a specific CC17/ST80 vanA VREfm cluster was developed and enabled real-life application in routine diagnostics to assure accurate infection prevention and control measures. Future outbreak investigations may benefit from adopting this cost- and labor-efficient approach.IMPORTANCEThis study addresses the urgent need for faster ways to detect problematic hospital bacteria. A highly transmissible strain of Enterococcus faecium (CC17) has been spreading in healthcare settings, making infections harder to treat and control. Traditional methods to identify and track outbreaks are accurate but slow and resource-intensive, delaying critical infection control actions. By developing and validating a new method using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, the researchers demonstrated that this strain can be identified quickly, reliably, and at lower cost. Importantly, the new approach delivers results within a day, compared to the lengthy turnaround times of existing methods. This rapid detection tool provides hospitals with a practical solution to respond to outbreaks more effectively, prevent further spread, and protect vulnerable patients. The findings highlight a valuable step forward in strengthening hospital infection control and improving patient safety.

Enterococcus faecium↗