Journal of Clinical Microbiology

The WHO recently endorsed two commercial culture-free targeted next-generation sequencing (tNGS) assays for detecting drug resistant Mycobacterium tuberculosis. These proprietary tNGS platforms present a black box. We developed an in-house tNGS assay using Oxford Nanopore Technology sequencing to detect an expanded range of resistance mutations directly from clinical specimens. The assay targeted 44 genomic loci; hsp65 for Mycobacterium tuberculosis complex (MTBC) identification; 12 loci for MTBC lineage classification; and 31 drug resistance loci predicted resistance to 16 anti-TB drugs. In total, 98 amplicons were distributed across three PCR pools. Analytical sensitivity was assessed using M. tuberculosis H37Rv, and proof-of-concept performance was evaluated in 63 archived clinical specimen extracts and one real-life sputum specimen in comparison with Illumina whole genome sequencing (WGS). All amplicons were successfully amplified and sequenced from M. tuberculosis H37Rv genomic DNA. At [≥]100 genome copies/L, 71.4% of amplicons met [≥]20x; mean depth across six replicates, including all loci for rifampicin, ethambutol, pyrazinamide, fluoroquinolone and bedaquiline resistance. In 63 clinical specimens, [≥]90% of amplicons achieved a mean depth of [≥]20x in specimens with IS6110 PCR cycle threshold (Ct) values [≤]24. With Ct value [≤]27 lineage classification was concordant with WGS in 94.7% (18/19) of specimens and drug-susceptibility prediction showed 94.7% (18/19) agreement with both phenotypic and genotypic (WGS) testing. In a single clinical case (Ct 26.5), lineage and resistance-associated mutations were accurately identified directly from sputum. The findings provide new insights into rapid culture-independent tNGS approaches for rapid M. tuberculosis drug resistance detection with lineage assignment.

Bordetella pertussis is the main aetiological agent of pertussis (whooping cough), with a global resurgence of cases reported in 2024. As current pertussis diagnostics are predominantly based on molecular methods, cultured isolates are increasingly scarce, limiting traditional culture-based surveillance. To address these challenges, this study evaluated culture-independent approaches for B. pertussis surveillance and their feasibility for implementation in public health laboratory settings in Victoria, Australia. The Microbiological Diagnostic Unit Public Health Laboratory received 356 nasopharyngeal clinical specimens that were PCR-positive for Bordetella spp. from diagnostic laboratories for further characterisation during the 2024-2025 epidemic period. Culture-based approaches yielded only five B. pertussis isolates, largely due to limitations associated with specimen transport media. Four culture-independent approaches were evaluated for B. pertussis characterisation: real-time PCR assay for high-resolution Bordetella spp. differentiation (n=356), multiplex PCR amplicon sequencing assay for lineage typing (n=38), in-house laboratory developed test implemented on Panther Fusion(R) System for macrolide resistance screening (n=92) and shotgun metagenomic sequencing (n=5). The dataset was dominated by B. pertussis (330/356; 92.7%) with most strains harbouring ptxP3 (35/38; 92.1%) allele and the macrolide resistance rate was reported as 4.3% (4/92). Shotgun metagenomics was able to detect B. pertussis directly from clinical samples, but the genomic recovery was limited. Evaluation of operational performance and workflow integration highlighted method-specific strengths and limitations, informing suitability for implementation in public health laboratories. This study demonstrates the potential to integrate culture-independent approaches into public health laboratory settings to strengthen B. pertussis surveillance and inform feasible workflow design amid limited culture availability.

Macrolides remain the first-line antimicrobial treatment for pertussis, primarily caused by Bordetella pertussis. Emergence of macrolide-resistant B. pertussis in Australia and globally presents a growing concern for clinical management. As molecular diagnosis predominates for pertussis, limited numbers of cultures are available for antimicrobial susceptibility testing. The A2037G mutation in the 23S rRNA gene is most commonly associated with macrolide resistance in B. pertussis, yet no commercial molecular assay is available for its detection. In this study, we adapted and validated a previously published real-time PCR assay as a laboratory developed test (LDT) on the Panther Fusion(R) system using Open Access functionality to detect the macrolide resistance-associated mutation in B. pertussis from culture isolates and clinical specimens. Total turnaround time was ~2.5 h for the first result and 2-3 min for subsequent results in the same batch, with an estimated cost of AUD 18 per sample, excluding labour. A total of 30 samples were included in the validation panel to assess assay performance. All isolates and clinical specimens in the validation panel produced results concordant with the expected mutation status, demonstrating 100% accuracy, sensitivity and specificity. The assay demonstrated a limit of detection of 1.5 x 103 CFU/mL (22 CFU/reaction). This Panther Fusion(R) LDT provides a rapid and fully automated approach for molecular detection of the targeted mutation associated with macrolide resistance in B. pertussis. Its integration into routine molecular workflows as a reflex test following identification of B. pertussis may facilitate timely identification of resistant infections.

GeneCapture is developing a novel, point-of-care, rapid AST technique that, when fully automated, can accomplish AST within 2 hours directly from a raw sample, representing a significant advancement in diagnostic capabilities. For this study, a panel of uropathogen isolates was collected from clinical specimens positive for urinary tract infection from various laboratories in the southern US. A selection of these isolates were then spiked into fresh clean-catch urine samples to produce mock samples covering a variety of antibiotic responses. Testing was performed on 20 strains of Escherichia coli, the cause of over 80% of UTIs, and 6 strains each of Klebsiella pneumoniae and Proteus mirabilis, the next most common causes. Each strain was tested against the susceptible, intermediate and resistant (S-I-R) breakpoints of up to 5 appropriate antibiotics including Amoxicillin-Clavulanate, Cefpodoxime, Ciprofloxacin, Nitrofurantoin and Trimethoprim-Sulfamethoxazole. The new method uses a phenotypic assessment of bacterial growth, comparing responses from bacteria treated with antibiotics at S-I-R breakpoint concentrations to untreated controls as the metric for determining susceptibility. Exposure to the drugs for only 90 minutes gave a Categorical Agreement of 98% to gold standard culture results across the resulting 247 bacteria/antibiotic pairs. Testing on separate days of nine of these strains in triplicate gave a reproducibility of 97%. The sequential steps of this novel AST - sample processing, growth, labeling, and counting - can readily be performed on an automated cartridge that is currently under development. The presented work, which took place in a laboratory setting, demonstrates the efficacy of the assay.

Objective Heme-dependent metronidazole (MTZ) resistance has emerged in Clostridioides difficile and is primarily mediated by a T-to-G single-nucleotide polymorphism (SNP) in the promoter of nimB (PnimBG). We aimed to develop a CRISPR-Cas12a-based assay for rapid detection of the PnimBG mutation associated with MTZ resistance. Methods A series of primers and CRISPR RNAs (crRNAs) were designed and optimized to identify the most effective combination for discriminating between PnimBG (MTZ-resistant) and PnimBT (MTZ-susceptible) alleles. Detection was evaluated by visual fluorescence using blue-light and UV imaging systems, as well as by quantitative fluorescence measurements. Results The CRISPR-Cas12a assay accurately differentiated PnimBG and PnimBT alleles in C. difficile. In a collection of clinical isolates, the assay correctly identified all 11 MTZ-susceptible isolates carrying the PnimBT allele and all 10 MTZ-resistant isolates carrying the PnimBG allele. Fluorescence signals were readily detected both visually and quantitatively. Furthermore, colony PCR using crude colony lysates yielded results comparable to those obtained with purified genomic DNA, enabling rapid colony-based detection without conventional DNA extraction. Conclusions The CRISPR-Cas12a assay enables rapid molecular detection of the PnimBG mutation associated with heme-dependent MTZ resistance in C. difficile. This approach could complement conventional susceptibility testing for MTZ resistance detection.

Hybrid capture approaches can detect a broad range of pathogens directly from clinical samples with greater sensitivity than untargeted approaches. Clinical adoption has been limited by long turnaround times, complex workflows, and perceived high costs. We iteratively developed and validated a rapid hybrid capture workflow based on Illumina's RPIP protocol (standard workflow). Rapid-RPIP v1 reduced wet-lab time from ~11.4 to ~7.3 h, for a turnaround time (TAT) of <15 h. Rapid-RPIP v2 further reduced wet-lab time by ~0.7 h and used Illumina Turbo Sequencing shortening the sequencing time from ~5.5 to ~2.5 h thus achieving a TAT of <10 h without compromising sensitivity and yielding higher RPKMs for RNA viruses than the standard workflow. This approach could be readily adapted to a broad range of clinical and public health applications.

Objective: To evaluate the specimen-level performance of a multichannel electronic nose (e-nose) sensor array in classifying stool specimens into relevant Clostridioides difficile categories. Design: Retrospective single-center validation study with reference to polymerase chain reaction (PCR) and C. difficile toxin testing. Participants: A convenience sample of 31 discarded stool specimens with PCR and confirmatory toxin testing. Categorized into PCR-positive (+)/toxin+, PCR+/toxin-negative (-), and PCR-. Methods: Specimens were sampled in controlled headspace by two e-nose sensor arrays in 10-minute sessions with 5-second sampling intervals. The primary endpoint was one-versus rest classification performance (sensitivity, specificity, positive predictive value, and accuracy) into three classes: PCR+/toxin+, PCR+/toxin-, and PCR-. Data were normalized and the region of interest was extracted for training and testing. Random forests were utilized for classification of normalized data with a test-train split at the specimen-level. Results: There were 457 unique 10-minute sampling events (147 PCR+/toxin+, 183 PCR+/toxin-, 127 PCR-). Sensors 1 and 2 captured 20,331 and 23,538 unique 5-second exposures within the region of interest, respectively. Testing data classification accuracy was 0.79 [0.78, 0.81] and 0.84 [0.83, 0.85] for Sensors 1 and 2. Sensitivity for PCR+/toxin+ exposures was 0.82 [0.79, 0.84] and 0.94 [0.92, 0.95], and specificity was 0.91[0.90, 0.93] and 0.93 [0.92, 0.94] for Sensors 1 and 2. Conclusion: An e-nose sensor array partially differentiated PCR-classified C. difficile specimen classes at the exposure level under headspace-controlled conditions. Performance was strongest for PCR+/toxin+ exposures. Findings support further prospective validation in the hospital room setting.

Interferon-gamma release assays detect Mycobacterium tuberculosis infection but cannot distinguish infection from active tuberculosis (TB). We evaluated the diagnostic information provided by QuantiFERON-TB Gold Plus (QFT-Plus) among adults investigated for active TB in Brazil and South Africa. Adults with presumptive TB were prospectively enrolled by convenience sampling. QFT-Plus was the index test, and diagnostic classification required microbiological confirmation of TB or an established alternative diagnosis. QFT-Plus results did not inform diagnostic classification. Accuracy was assessed among participants with determinate results, primarily using likelihood ratios. Of 723 participants tested, 48 (6.6%) had indeterminate results, all due to low mitogen responses. Among 675 participants with determinate results, 147 (21.8%) had confirmed TB. Sensitivity was 68.0% (95% CI, 60.1-75.0), specificity was 59.3% (95% CI, 55.0-63.4), and the negative likelihood ratio was 0.54 (95% CI, 0.42-0.69). At the observed prevalence, a negative result left a 13.1% probability of active TB. Negative likelihood ratio confidence intervals included 1 in both South African HIV strata. Specificity was higher among participants with HIV in both countries. Adding TB2 to TB1 alone identified 15 additional TB cases and generated 18 additional positive results among participants without active TB. HIV and active TB were independently associated with indeterminate results in exploratory regression. A negative QFT-Plus result provided insufficient information to exclude active TB. Higher negative predictive values among participants with HIV reflected lower disease prevalence and higher specificity rather than greater sensitivity. Negative or indeterminate results should not terminate diagnostic evaluation.

Clostridium botulinum Group I and Clostridium sporogenes are closely related genomic lineages for which historical toxin-based nomenclature can obscure species-level relationships. We developed BoNTax, a curated taxonomy-first framework that separates average nucleotide identity (ANI)-based species assignment from botulinum neurotoxin (BoNT) characterization while integrating assembly quality assessment, multilocus sequence typing (MLST), AMRFinderPlus-based detection of bont genes, other virulence-associated genes, and antimicrobial resistance genes into standardized outputs. Analysis of 966 genomes informed genome-size criteria and the selection of 46 representative references comprising 22 C. botulinum Group I and 24 C. sporogenes genomes. Pairwise ANI resolved these references into two distinct species clusters: within-species ANI values were >95%, whereas between-species values were <95%, supporting a 95% species-level assignment threshold. BoNTax was implemented in GalaxyTrakr as complementary FASTQ- and FASTA-input workflows that converge on a common downstream analysis. The workflow completed analysis of all 42 validation genomes. Among the 32 genomes with a reported taxonomic identity, 29 assignments were concordant and three prompted taxonomic re-evaluations. For the ten genomes reported as taxonomically unknown, BoNTax provided ANI-based assignments. Of the three discordances, BT-22100019 was assigned to C. sporogenes rather than the reported C. botulinum Group I, whereas R1125/03 and R1135/03 showed 99.96% ANI to C. caseinilyticum DSM 46279, supporting their identification as C. caseinilyticum. MLST assignments were concordant for genomes with established profiles except PNUSAB000061, for which ST183 was not assigned by the MLST database version used in this analysis. BoNT type and subtype detection was fully concordant across toxigenic genomes, including bivalent strains. Thirty-one genomes met the predefined assembly-size QC criterion, whereas 11 received QC warnings, including all eight datasets representing four known mixed cultures. BoNTax therefore provides a reproducible genomic framework for resolving closely related clostridial lineages, identifying taxonomic annotations requiring re-evaluation, and reporting clinically relevant toxin information without conflating toxin genotype with species identity.

Clinical metagenomic sequencing detects hundreds of organisms whose relevance to infection requires clinicians' manual interpretation. We retrospectively reviewed 4,855 specimens from 19 sampling sites, linked 1.33 million detected organisms to clinical culprit-pathogen determinations, and fine-tuned a large language model on these labels. The model recovered 92.44% of reference culprit calls in the held-out test set and 84.49% in a later cohort. In a blinded re-adjudication of 215 cases, the model matched 90.5% of culprit calls on which both expert reviewers agreed. Adjudication accuracy varied with organism identity and specimen types. mNGS-derived metrics such as read counts or genome coverage alone were insufficient to identify culprit pathogens, and organisms classified as common colonizers could still be judged causative. Certain organisms were frequently co-reported as causative in the same specimen. These findings support further evaluation of human and AI-assisted report review, particularly regarding missed pathogens, excess calls, and differences across specimen types.

Context: Cytological specimens allow minimally invasive, repeated sampling for diagnosis and molecular testing. However, cytology biobanking protocols have primarily been optimized for morphology, and the effects of preanalytical handling and storage on intracellular proteins remain unclear. Objective: To assess how fixation, staining, storage temperature, and duration affect intracellular protein preservation in cytological specimens and to identify conditions suitable for in situ proximity ligation assay (isPLA). Design: Human cancer cell lines were processed under different preanalytical conditions. Intracellular proteins and protein protein interactions were assessed by isPLA, fluorescence microscopy, and quantitative image analysis. Slides were stored at room temperature or minus 20 Celsius, with or without MayGrunwaldGiemsa (MGG) staining. Results: Storage temperature had the greatest effect on protein signal. Unstained slides stored at minus 20 Celsius retained strong signals for up to 24 months, whereas room temperature storage reduced detectable protein interactions by approximately 95%. MGG staining further reduced signal intensity during prolonged storage. Nevertheless, stained slides remained suitable for isPLA when staining, microscopic evaluation, destaining, and antibody labeling were completed on the same day. Prolonged room temperature storage of stained slides caused loss of antigenicity, increased autofluorescence, and false negative findings. Conclusions: Low temperature storage and standardized preanalytical handling preserve intracellular protein signals in cytological specimens. These conditions support reliable single cell protein profiling of archived samples and their use in biomarker research and translational pathology.

Raman spectroscopy (RS) has been shown to differentiate various disease states in tissue samples, yet the impact of sample substrate on spectral quality and downstream machine-learning (ML) performance is under-explored. We collected 960 spectra from 36 formalin-fixed, paraffin-embedded colonic specimens mounted in parallel on calcium fluoride (CaF2) and mirrored stainless-steel (SS) slides. Raw SS spectra were more intense than CaF2, and routine dewaxing left prominent paraffin peaks on CaF2 that were largely absent on SS. Extending CaF2 xylene immersion to 48 h reduced key paraffin peaks by 11 to 23%, aligning its biochemical profile with SS. Nested cross-validated classifiers were built to distinguish true disease (T1) from epithelial misplacement (EM). The highest accuracies were observed on SS (0.65 - 0.66), while CaF2 improved from 0.41 - 0.57 to 0.65 - 0.69 after extended dewaxing, chiefly via gains in recall. Although optimal dewaxing renders CaF2 diagnostically non-inferior, SS still offers superior accuracy, faster preparation, at approximately 4% of the cost, supporting its integration into scalable, AI-enabled RS pathology workflows.

Typhoid intestinal perforation (TIP) is a late complication of Salmonella enterica serovar Typhi infection, and blood cultures, if available, are often negative at this stage, making etiologic confirmation challenging. In areas without access to blood culture diagnostics, TIP incidence can serve as a proxy for enteric fever burden. Antibodies against hemolysin E (HlyE) and S. Typhi lipopolysaccharide (LPS) are promising serologic markers for typhoid, but their diagnostic utility for TIP remains unclear. In this study, we assessed the diagnostic accuracy of anti-HlyE and anti-LPS IgG and IgA antibodies measured by kinetic enzyme immunoassay in children undergoing emergency laparotomy for acute abdomen in Niger. Dried blood spots (DBS) were collected pre-operatively (baseline) and within 30 days post-hospital discharge (convalescence). Patients classified intraoperatively as TIP (n = 341) or as confirmed non-typhoid-related alternative etiology (i.e., controls, n = 48) were included in this serologic analysis. The primary analyses were conducted in a longitudinal sub-cohort of 122 TIP cases and 33 controls in whom all four anti-HlyE and anti-LPS IgA and IgG responses were measured at baseline and at convalescence. Anti-HlyE IgA and anti-LPS IgA were additionally measured at baseline in the full analytic cohort. In the primary analysis, all antigen-antibody isotype combinations distinguished TIP cases from controls with high accuracy: anti-HlyE IgA (AUC 0.94), anti-HlyE IgG (AUC 0.94), anti-LPS IgA (AUC 0.96), and anti-LPS IgG (AUC 0.96). Anti-HlyE IgA and anti-LPS IgA performed similarly in the full cohort (AUC 0.93 and 0.93, respectively), supporting the representativeness of the sub-cohort. Anti-LPS IgG showed the best overall performance (99% sensitivity, 94% specificity), exceeding that of all other individual markers, and combining markers did not improve diagnostic accuracy. Diagnostic performance at convalescence was similar to or lower than that observed at presentation. Overall, anti-HlyE and anti-LPS antibodies showed high diagnostic accuracy for TIP at presentation, extending the potential utility of these serologic markers for supporting the diagnosis of typhoid-associated intestinal perforation and improving surveillance of severe typhoid disease when patients present with late-stage complications. Our findings show that serologic testing could improve case detection and burden estimation of enteric fever and its complications in resource-limited settings.

Background Metagenomic next-generation sequencing (mNGS) is increasingly adopted as a rapid and unbiased alternative to culture-based pathogen detection. However, standardized approaches for analytical validation of mNGS workflows are lacking. Validation strategies based solely on comparison with culture are inherently limited due to low diagnostic yield of culture, and the inability to derive analytical parameters such as limit of detection (LoD) from clinical samples with unknown microbial loads. Systematic analytical approaches are therefore required to define mNGS workflow performance independently of clinical comparators. In addition to diagnostics, mNGS is widely applied to microbiome profiling, where preservation of microbial diversity at low DNA inputs is a key performance criterion. Materials and Methods The analytical performance of the PaRTI-Seq mNGS workflow (Micronbrane, Taiwan), comprising host depletion, DNA extraction, library preparation, and bioinformatics analysis, was evaluated. Library-level analytical sensitivity was assessed using quantified genomic DNA (gDNA) from Enterobacter hormaechei, Candida albicans, and Mycobacterium smegmatis. Workflow-level sensitivity was evaluated using enumerated suspensions of E. hormaechei, Staphylococcus aureus, M. smegmatis, C. albicans and Aspergillus brasiliensis. Microbiome performance at low DNA input was evaluated using stool, saliva and gut mock community samples at 50ng, 5ng, and 0.5ng gDNA input and compared with an alternative low-input library preparation workflow. Results The library preparation module demonstrated analytical sensitivity down to 0.1 pg of E. hormaechei and C. albicans gDNA, and 1pg for M. smegmatis gDNA. Workflow-level LoDs were determined to be 1 CFU for E. hormaechei, 272 CFUs for S. aureus, 39 CFUs for A. brasiliensis, 36 CFUs for C. albicans and 3,702 CFUs for M. smegmatis. Differences in extraction efficiencies and extracted gDNA qualities appeared to be important determinants of workflow-level LoDs. For microbiome applications, Micronbrane Unison Ultra-low DNA input library preparation kit maintained more consistent bacterial diversity indices down to 5ng DNA input for stool and saliva samples, and the gut mock community than the comparator workflow. Conclusion This study outlines practical and generalizable analytical validation approaches for mNGS library preparation and complete workflows using defined spike-in models, providing a foundation for informed clinical interpretation and implementation of mNGS in diagnostic and microbiome applications.

Background: Treponema pallidum quantitative polymerase chain reaction (qPCR) positivity and cycle threshold (Ct) by rapid plasma reagin (RPR), disease stage, and other characteristics are poorly characterized in routine-care specimens, leaving it unclear when qPCR of such specimens is informative for diagnosis. Methods: This Japanese multicenter cross-sectional study explored qPCR positivity and Ct by these characteristics. Nonblood specimens collected during routine care underwent qPCR at a central laboratory for this study. Bayesian logistic and normal regressions modeled positivity and mean Ct of TP0574 and polA with stage-specific continuous automated RPR terms, patient characteristics, collection site, and facility random intercepts. Estimates were standardized over the analyzed specimens. Population-group predictions were instead averaged within each group. Results: Among 154 nonblood specimens from 145 patients (71.7% non-MSM men and women) at 14 facilities, 109 (70.8%) were qPCR positive. At RPR 1, adjusted positivity was 72.2% (95% credible interval, 60.9%--82.9%) in primary and 43.8% (16.7%--69.9%) in secondary syphilis. Positivity showed a modest downward trend with RPR in primary but increased in secondary syphilis, reflecting a stage-by-RPR interaction (secondary-to-primary ratio of odds ratios, 1.78; 1.25--2.65). Predicted positivity showed an upward trend with RPR values among MSM; adjusted positivity was relatively high for genital/urethral/urinary and anal/perianal/rectal specimens. Adjusted mean Ct increased with RPR in primary and followed an inverted-U pattern in secondary syphilis. Conclusions: In primary syphilis, nonblood qPCR positivity was high even at low RPR. When serologic findings remain inconclusive in this stage, qPCR is highly recommended for securing an early diagnosis.

Background: Child-friendly sample collection methods are needed to improve microbiological tuberculosis diagnosis in children. We assessed the feasibility, diagnostic yield, safety, tolerability, and acceptability of nasopharyngeal aspirates (NPA) and stool sample collection for XpertMTB/RIF Ultra (Ultra) testing in children <5 years with severe pneumonia in six high tuberculosis incidence countries. Methods: We conducted a cross-sectional mixed-methods study (10/2020-03/2021) nested within the TB-Speed Pneumonia trial (NCT03831906) in 15 tertiary hospitals. Uptake and diagnostic yield of NPA and stool, sampled by trained nurses, were computed. Nurses documented NPA feasibility and related adverse events. NPA tolerability was assessed through discomfort/distress/pain scales completed by nurses, parents/caregivers, and children >3 years. Individual interviews investigated nurses and parents/caregivers perceptions and experiences of both procedures. Results: Of 542 children enrolled, 541 (99.8%) and 423 (75.5%) had NPA and stool samples successfully collected, respectively; 8 (1.5%) had positive Ultra on any sample, 8 (1.5%) on NPA, and 3 (0.6%) on stool samples. Nurses reported that NPA was difficult to collect in 27 (5.0%) children. 130 (24%) children had bloodstained NPA samples and <5% experienced transient heart rate deceleration, digestive or respiratory distress during NPA. Median nurse-assessed tolerability scores were 1/10 [0,3] before and 5/10 [2,6] during NPA. Although most respondents perceived NPA as painful, all appreciated that NPA aimed to improve child health. Nurses reported that NPA and stool collection was quicker, less invasive than gastric aspiration. Parents/caregivers trusted nurses skills and valued the novelty of NPA. All respondents easily engaged in stool collection, but were frustrated to depend on children passing stool. Nurses underlined that continuous staff training and mentoring would sustain feasibility and self-efficacy in obtaining adequate samples. Conclusions: NPA and stool are viable specimen collection options for microbiological diagnosis of tuberculosis in young children <5 years with severe pneumonia in high tuberculosis incidence countries.

In 2024, Chicago experienced a measles virus outbreak. Air samples collected as part of routine respiratory virus surveillance from three hospitals that received measles patients were retrospectively analyzed. Measles virus was detected in air samples from one emergency department across five weeks when measles patients were present and another when no known cases were present. Two of three viral sequences derived from air samples were identical to measles patients. The source of one diverging sequence could not be identified and may represent a case not identified by traditional surveillance methods. Air sampling may supplement measles investigation, surveillance and response.

Genomic tools can support malaria control policy through surveillance of Plasmodium falciparum populations, tracking antimalarial drug resistance, pfhrp2/3 deletions that compromise rapid diagnostic tests, and selection at the circumsporozoite protein (PfCSP) vaccine target, as well as through molecular correction of therapeutic efficacy studies (TES). Multiplex Amplicons for Drug, Diagnostic, Diversity, and Differentiation Haplotypes using Targeted Resequencing (MAD4HatTeR), a comprehensive amplicon sequencing panel covering up to 276 targets, supports these applications but is tailored to research rather than routine programmatic use. We developed P. falciparum Public Health Amplicon Sequencing Tool (PfPHAST), a 56-target derivative of MAD4HatTeR spanning drug resistance loci, pfhrp2/3 deletion, PfCSP genotyping, non-falciparum species identification, and 20 high-heterozygosity microhaplotype loci for TES classification. We compared PfPHAST and MAD4HatTeR using laboratory strain controls, including two-strain dilution series and a five-strain mixture, across parasite densities of 100 to 10,000 parasites/L. At matched per-target depth, PfPHAST achieved a higher quality-control pass rate than MAD4HatTeR (94.4% versus 90.0%) and distributed reads more evenly across targets. The panels showed comparable recall and precision for drug resistance codons and microhaplotypes, reaching near-complete recall above 40% within-sample allele frequency (WSAF) at all densities, with reduced sensitivity for minor alleles below 10% WSAF at low parasite density in both panels. Observed and expected WSAF correlated strongly for both panels, and both resolved a five-strain polyclonal mixture, including a 5% minor strain. By concentrating sequencing capacity on targets of greatest programmatic relevance, PfPHAST offers a scalable, lower-cost alternative to comprehensive research panels without sacrificing performance on shared targets, complementing MAD4HatTeR for routine molecular malaria surveillance.

Background: Pertussis has resurged in the post-COVID-19 era, yet diagnostic delay remains a barrier to timely treatment and transmission interruption, particularly among adults. Methods: Retrospective observational cohort study of 787 patients with confirmed pertussis from January 2016 through March 2026 across two South Carolina health systems. Electronic health record data from the 60 days preceding confirmation were used to characterize diagnostic timing (same-day vs. delayed), delay duration, and respiratory pathogen testing patterns including pertussis test modality. Results: Adults accounted for 48.4% of cases (median age 16 years [IQR 4-52]; 61.6% female). Same-day diagnosis was highest among children aged 1-4 years (75.4%) and lowest among adults aged 50 and older (approximately 50%). Among the 305 patients (38.8%) with delayed diagnosis, median delay ranged from 7-12 days in children to 22.5-26.5 days in adults aged 50 and older. Delay did not vary significantly by COVID-19 period, race, ethnicity, or insurance type. Testing breadth was greater in inpatient and emergency settings than outpatient. Pertussis testing was predominantly PCR-based in children but serologic in adults, potentially reflecting later clinical presentation relative to illness onset; however, the near-absence of PCR testing in older adults may contribute to missed diagnoses during the early illness window when PCR sensitivity is highest. Conclusions: Older adults experienced markedly delayed pertussis diagnoses compared with children. Earlier consideration of pertussis in adults with prolonged cough, including PCR testing early in illness before serologic conversion, may reduce diagnostic delay and facilitate timelier treatment and contact tracing.

Background: Amplicon-based next-generation sequencing is a cornerstone of viral genomic surveillance, but it often produces datasets with highly uneven read coverage due to PCR amplification bias. This leads to excessive data generation and substantial computational overhead for downstream bioinformatic analysis. Results: We evaluated the efficacy of two data reduction strategies on 220 SARS-CoV-2 clinical specimens and 12 wastewater samples: random subsampling with SeqKit and read depth normalization with BBNorm. FASTQ files were reduced to target depths from 10X to 10,000X to compare genome coverage, lineage assignment concordance, and computational resource usage. Both strategies markedly reduced total processing time. For clinical isolates, read depth normalization corrected for amplification bias resulting in highly concordant lineage assignments at a target depth of just 200X. Random subsampling preserved inherent bias but produced reliable assignments at depths over 500X. Reducing target depths below 500X in complex wastewater mixtures severely degraded variant deconvolution accuracy and heavily skewed lineage abundance profiles for both methods. Conclusion: Both random subsampling and read depth normalization successfully reduce computational overhead while preserving key clinical sequencing metrics at appropriate reduction settings. The optimal method depends on the analytical goal, ranging from computationally lightweight random subsampling for rapid lineage assignment, to read depth normalization for generating high-quality consensus sequences. However, aggressive data reduction should be avoided in environmental surveillance, where maintaining a high baseline sequencing depth is critical for accurate mixed-variant deconvolution.