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PubMed2026

Metaviromic profiling of mosquito excreta using superhydrophobic collection devices expands the known RNA virome of North America.

Nearly 30% of emerging infectious disease events worldwide are transmitted by arthropod vectors, and this proportion continues to rise. Rapid and accurate detection is critical for directing vector control interventions, thereby reducing the likelihood of widespread transmission. Surveillance of infected mosquitoes can provide an early warning of impending human infection; however, conventional virus testing relies on processing large pools of mosquitoes and requires labor-intensive pre-processing. During rapidly developing epidemic or panzootic events, these delays may limit the effectiveness of public health responses. Mosquito excreta has recently emerged as a promising alternative substrate for pathogen detection. Sugar-fed mosquitoes regularly excrete gut contents, offering a rich source of nucleic acids. In this study, we developed and applied custom superhydrophobic excreta-collection funnels that efficiently aggregate excreta produced by field-collected Culex mosquitoes into attached microcentrifuge tubes. Shotgun metagenomic sequencing of this material revealed a diverse RNA virome, including both globally distributed viruses and those reported here for the first time from the Americas. Beyond virus detection, additional analyses enabled confirmation of host mosquito species and identification of trypanosomatid parasites, demonstrating the broader utility of mosquito excreta for integrated surveillance. We anticipate that methods and devices of this type will become valuable components of vector surveillance programs, particularly in remote or resource-limited settings where repeated collections are challenging. Overall, our findings highlight the potential of excreta-based monitoring to improve early detection of emerging or unknown pathogens of One Health importance, refine our understanding of mosquito virome biogeography, and facilitate the discovery of previously undescribed viruses.IMPORTANCEMany infectious diseases that affect people and animals are spread by mosquitoes and other biting insects, and the number of these outbreaks is increasing. Detecting pathogens in mosquito populations early can provide a critical warning before human cases begin, allowing health officials to act quickly. However, traditional surveillance requires collecting and processing large numbers of mosquitoes, which can be slow and labor-intensive during fast-moving outbreaks. Here we demonstrate a simpler approach: testing mosquito waste. When mosquitoes feed on sugar, they excrete material that contains genetic traces of viruses and other organisms. Using specially designed collection devices and modern genetic sequencing, we show that mosquito excreta can reveal a wide range of viruses and parasites while also identifying the mosquito species present. This method could make disease surveillance faster and more practical in remote or resource-limited settings, improving our ability to detect emerging pathogens that threaten human, animal, and environmental health.

Animals↗

PubMed2026

Comparative performance of portable DNA extraction protocols and bioinformatics workflows for rapid detection of gram-negative bacteria and antimicrobial resistance using Oxford Nanopore sequencing.

Oxford Nanopore Technology (ONT) enables rapid, portable pathogen identification and antimicrobial resistance (AMR) detection, but the reliability of downstream genomic analyses is highly dependent on DNA extraction quality, particularly in resource-limited settings. This study comparatively evaluated four portable bacterial DNA extraction protocols derived from three commercial kits to determine their impact on nanopore sequencing performance, bioinformatics workflow completion, and field deployability. Six gram-negative bacterial isolates (Escherichia coli, n = 4; Pseudomonas sp., n = 1; and Salmonella sp., n = 1) were processed using four extraction protocols: SwiftX DNA, SwiftX DNA with proteinase K (ProtK), SwiftX ParaBact, and NucleoSpin Microbial. Twenty-four resulting DNA extracts were sequenced on a single multiplexed MinION R10.4.1 flow cell. Sequencing data were analyzed using validated Galaxy-based generic and species-specific pipelines. Workflow completion was defined as successful progression through quality control, assembly, virulence, plasmid, and AMR detection modules. DNA purity varied substantially by extraction protocol and was strongly associated with successful workflow completion (Kruskal-Wallis, P = 0.0006). Accordingly, NucleoSpin Microbial achieved 100% workflow completion, and SwiftX ParaBact achieved 83%, while both SwiftX DNA-based protocols failed to complete full workflows. Importantly, key AMR genes required to classify isolates as multidrug-resistant were consistently detected using both NucleoSpin Microbial and SwiftX ParaBact extractions. However, NucleoSpin Microbial assemblies showed significantly higher contiguity and enabled a broader, more complete detection of virulence factors, pathogenicity islands, plasmid replicons, and accessory AMR genes, reflecting enhanced genomic resolution.IMPORTANCERapid whole-genome sequencing is increasingly used to detect antimicrobial resistance and guide public health responses, but its reliability depends strongly on how bacterial DNA is extracted. In this study, we have shown that DNA extraction method choice has a major impact on Oxford Nanopore sequencing performance across clinically relevant gram-negative bacteria. While silica column-based extraction maximized genomic completeness and analytical depth, paramagnetic bead-based reverse purification offered superior portability with sufficient resolution for frontline AMR surveillance. These findings highlight a practical trade-off between field deployability and high-resolution genomic characterization in low-resource settings.

DNA extraction↗

PubMed2026

Co-Occurring EGFR L858R Mutation and HER2 Amplification in NSCLC Identified by Stepwise Molecular Profiling.

BACKGROUND The coexistence of multiple oncogenic drivers in non-small cell lung cancer (NSCLC) is a rare and diagnostically challenging molecular configuration. Conventional polymerase chain reaction (PCR)-based testing may fail to detect co-occurring genomic alterations, potentially limiting therapeutic options, particularly in resource-constrained settings. CASE REPORT We describe the case of a 54-year-old non-smoking woman diagnosed with Stage IIIA lung adenocarcinoma in 2020. Initial PCR-based molecular testing was negative for EGFR mutations. Following disease progression with brain metastases and severe chemotherapy toxicity, stepwise molecular profiling in a resource-limited setting identified HER2 (ERBB2) amplification via fluorescence in situ hybridization (FISH). The patient achieved 23 months of clinical and radiological stabilization on trastuzumab. Subsequent next-generation sequencing (NGS) analysis of archived tissue revealed a previously undetected estimated glomular filtration rate (EGFR) L858R mutation. In late April 2025, new lesions appeared in the lungs, indicating disease progression. Based on the previously verified EGFR L858R mutation, the treatment strategy was revised and gefitinib was initiated in May 2025. CONCLUSIONS This case illustrates that co-occurring EGFR and HER2 alterations can remain undetected following initial limited molecular testing, and that stepwise molecular profiling in a resource-constrained setting can facilitate identification of therapeutically actionable targets. The sequential clinical responses observed are consistent with the biological relevance of both alterations, although broader conclusions regarding diagnostic strategy or driver hierarchy cannot be drawn from a single observation.

Humans↗

PubMed2026

Assessing the accuracy and efficiency of an electronic platform for managing childhood illnesses in rural China: A cluster randomized controlled trial.

OBJECTIVES: The Integrated Management of Childhood Illness (IMCI) faces challenges in capacity building and quality control. This trial aims to assess an electronic IMCI (eIMCI) platform in improving the effectiveness and efficiency in disease classification and management by community health workers (CHWs). DESIGN: Cluster randomized controlled trial. SETTING: Rural western China. PARTICIPANTS: 24 CHWs and 72 ill children aged 2 months to 5 years (3 children per CHW). CHWs were randomly assigned to intervention or control groups. INTERVENTIONS: The intervention CHWs received online training and performed disease management using the eIMCI platform featuring integrated training modules and decision-support tools. The control group received traditional face-to-face training and used paper-based IMCI protocols. MAIN OUTCOME MEASURES: Proportion of children correctly diagnosed or classified by CHWs, as determined by a pediatric specialist. Relative risk (RR) between groups was estimated using Poisson Generalized Linear Mixed Models incorporating a random intercept for CHW to account for clustering of children within individual CHWs and adjusting for key covariates at both the CHW and child levels. RESULTS: The intervention group (13 CHWs, 39 children) had a higher rate of correct classification (64.1%) compared to the control group (11 CHWs, 33 children) (39.4%, P = .056). Multivariable regression analysis confirmed this (RR = 2.1, 95% CI: 1.5-3.1; P < .001). No significant difference was found in correct treatment rates (38.5% vs. 27.3%, P = .316). Online training reduced time and costs by approximately 80%, though with a slight decrease in post-training evaluation scores. CONCLUSIONS: The eIMCI platform shows potential in enhancing IMCI implementation and significantly reducing the training burden in resource-limited settings. Trial registration: Chinese Clinical Trial Registry: ChiCTR2100042533, https://www.chictr.org.cn/showproj.html?proj=119995.

Humans↗

PubMed2026

Molecular Characterisation of Treacher Collins Syndrome in a South African Cohort: Novel Disease-Causing Variants in TCOF1 and POLR1D.

BACKGROUND: Treacher Collins syndrome (TCS) is a rare craniofacial disorder characterised by variable expressivity. It is caused by pathogenic variants in the TCOF1, POLR1D, POLR1C, or POLR1B genes. Common clinical features include hypoplasia of the zygomatic complex and mandible, downward-slanting palpebral fissures, lower eyelid anomalies, microtia, and hearing loss. Owing to its phenotypic overlap with other craniofacial syndromes, molecular testing is essential for establishing an accurate diagnosis and guiding effective clinical management. METHODS: Ten South African patients with a suspected clinical diagnosis of TCS underwent targeted next-generation sequencing (NGS) using a custom gene panel including TCOF1, POLR1C, and POLR1D genes. Variants were classified according to ACMG/AMP guidelines, with validation by Sanger sequencing where necessary. RESULTS: Disease-causing variants were identified in six of the ten patients (60%). These included five heterozygous variants in TCOF1 and one homozygous variant in POLR1D. Notably, five of the six variants were identified for the first time in this study. Additionally, a recurrent TCOF1 deletion was identified for the first time in an African family. CONCLUSION: This study expands the mutational spectrum of TCS in general and provides African data in particular. Findings support the use of panel-based NGS for diagnosis in resource-limited settings and highlight the need for population-specific variant data to improve diagnostic accuracy, guide clinical care, and support genetic counselling for affected individuals and their families.

Humans↗

PubMed2026

From host response to genomic targets: electrochemical biosensing of tuberculosis biomarkers.

Tuberculosis (TB) remains one of the leading causes of death from a single infectious agent worldwide, with timely diagnosis continuing to be a major challenge, particularly in resource-limited settings. Conventional TB diagnostic methods are limited by low sensitivity, long turnaround times, and an inability to reliably differentiate latent from active disease. Biomarker-based diagnostic strategies have therefore gained increasing attention as they offer the potential to improve early detection, disease differentiation, and treatment monitoring. Herein, we examine electrochemical biosensing strategies for TB diagnostics using a biomarker-class-driven framework, covering host-response biomarkers (IFN-γ and TNF-α), pathogen-derived antigens (ESAT6, CFP10, CFP10-ESAT6, MPT64, Ag85, HspX and LpqH), cell-wall signatures and whole-cell markers (LAM and whole cell Mtb), and genomic markers (Mtb DNA and IS6110). Through structured comparison of recognition elements, biointerface designs, signal amplification strategies, electrochemical techniques, matrices, and validation levels, this review identifies the most promising technical approaches for different TB biomarker classes. It further highlights key translational bottlenecks, including limited clinical validation, buffer-based testing, complex multistep amplification, redox-probe dependence, matrix fouling, and insufficient evidence of manufacturability. This review therefore provides practical guidance for developing electrochemical TB biosensors that are analytically sensitive, clinically relevant, and suitable for decentralized diagnostic applications.

Biosensing Techniques↗

PubMed2026

Real-world clinical utility of exome sequencing in pediatric drug-resistant epilepsy: Experience from a tertiary center in Thailand.

BACKGROUND: Genomic testing has increasingly contributed to the diagnosis and management of pediatric drug-resistant epilepsy (DRE), particularly in patients with suspected genetic etiologies. This study evaluated the diagnostic yield and real- world clinical utility of whole-exome sequencing (WES) in children with DRE. METHODS: Children with DRE and seizure onset before 15 years of age were enrolled between January 2020 and December 2023. Clinical data, including demographics, seizure characteristics, developmental history, electroencephalography (EEG), brain magnetic resonance imaging (MRI), and prior investigations, were reviewed. WES was performed in all probands and, when available, their parents. Variants were interpreted according to standard guidelines. Clinical utility and 1-year seizure and developmental outcomes were assessed from follow-up records. RESULTS: Fifty-six patients (23 males, 33 females) were included. The median age at seizure onset was 1 year (interquartile range [IQR] 0.3-4 years), and 96.4% had developmental comorbidities. Pathogenic or likely pathogenic variants were identified in 39% (22/56), with the highest diagnostic yield in children with seizure onset before 3 years of age. Channelopathies accounted for most genetically solved cases (68%), predominantly involving sodium channel genes. Genetic diagnoses provided clinical utility in 73% (16/22) of solved cases by guiding treatment and precision management. At 1-year follow-up, genetically solved patients showed more favorable seizure and developmental outcomes than those with genetically unsolved patients. CONCLUSION: WES achieved a 39% diagnostic yield and substantial clinical utility in pediatric DRE, particularly in early-onset and channelopathy-related disorders. These findings support early molecular diagnosis to facilitate genotype-informed management in appropriately selected children. However, the more favorable developmental and seizure outcomes observed in genetically solved patients should be interpreted with caution, as they may have been influenced by multiple factors beyond genetic diagnosis. In resource-limited settings, careful clinical phenotyping remains essential for treatment decisions and for prioritizing children for genomic testing.

Clinical utility↗

PubMed2026

Evaluation of three Aspergillus antibody assays for screening of chronic pulmonary aspergillosis: prospective diagnostic accuracy study.

OBJECTIVES: Chronic pulmonary aspergillosis (CPA) is a frequent complication of pulmonary tuberculosis (PTB), particularly in high-burden settings where access to reliable serological diagnostics remains limited. We evaluated the diagnostic performance of two immunochromatographic technology (ICT) lateral flow assays (LFAs) and an ELISA for CPA screening among patients with active or previously treated PTB. METHODS: In this two-year prospective multicentre diagnostic evaluation, serum from adults with prior or active PTB was tested using the Era Biology Aspergillus IgG ICT LFA, LDBio Aspergillus IgG/IgM ICT LFA, and Bordier Aspergillus fumigatus IgG ELISA. CPA diagnosis was established using a consensus composite reference standard incorporating clinical, immunological, radiological, and microbiological criteria. The Bordier ELISA was used as part of the immunological component of the consensus CPA diagnosis, with a cutoff optical density of ≥1.0. Diagnostic accuracy, agreement statistics, receiver operating characteristic analysis, and latent class analysis (LCA) were performed. RESULTS: Among 340 participants, 24 (7.06%) had CPA. Proportion of participants with positive antibody tests among all tested individuals were 6.76% for LDBio ICT LFA, 20.0% for Era Biology ICT LFA, and 11.47% for Bordier ELISA. Against consensus CPA diagnosis, Bordier ELISA showed 87.50% sensitivity and 94.30% specificity, LDBio ICT LFA 58.33% sensitivity and 97.15% specificity, and Era Biology LFA 66.67% sensitivity and 83.54% specificity. LCA estimated CPA prevalence at 7.72%. LCA-derived sensitivities and specificities were 86.58% and 99.92% for LDBio ICT LFA, 83.39% and 85.31% for Era Biology LFA, and 79.10% and 94.19% for Bordier ELISA. CONCLUSIONS: The Bordier ELISA showed high sensitivity and specificity, while the LDBio ICT LFA demonstrated very high specificity with strong LCA-derived performance. These findings support the use of ELISA for laboratory diagnosis and ICT as a point-of-care screening tool for CPA in resource-limited settings. Era Biology Aspergillus IgG LFA demonstrated moderate sensitivity and acceptable diagnostic performance, indicating its potential utility as a supplementary screening assay for CPA in settings where rapid, point-of-care testing is required.

Humans↗

PubMed2026

Clinical Utility of Next-Generation Sequencing in Tumors Diagnosed as Lung Squamous Cell Carcinoma: Real-World Data of Diagnostic and Therapeutic Implications.

Lung squamous cell carcinoma (LUSC) is the second most common subtype of non-small cell lung carcinoma (NSCLC), typically associated with a poor prognosis. Unlike lung adenocarcinoma, the application of next-generation sequencing (NGS) in LUSC has lagged because of the long-standing perception of low therapeutic yield, primarily based on highly selected, resected cohorts. We sought to determine the real-world clinical utility of NGS in LUSC. We analyzed an institutional cohort of 576 tumors initially diagnosed as LUSC that underwent NGS profiling. We defined "clinical yield" as either diagnostic reclassification or the identification of a targetable mitogenic alteration. Twenty cases (3.5%) were reclassified, including rediagnosis to cutaneous squamous cell carcinoma, transformed adenocarcinoma (post targeted therapy), and rare entities such as nuclear protein of the testis-rearranged carcinoma and lymphoepithelial carcinoma. Primary mitogenic drivers were identified in 83 cases (14.4% of the total cohort), of which 43 (7.5% of the total cohort) harbored alterations with currently Food and Drug Administration-approved therapies for NSCLC (including KRAS, EGFR, MET, ALK, and ROS1). Overall clinical yield-defined as the sum of diagnostic reclassifications and identification of NSCLC-specific targetable alterations-was 11.0% (63/576). Univariate and multivariate analysis demonstrated that never or light smoking history was the strongest independent predictor of clinical yield, with 57.3% of tumors in this subset being reclassified or harboring a strong driver. Our findings demonstrate that NGS provides significant diagnostic and therapeutic value in a real-world LUSC cohort, challenging the historical premise of low yield. Although clinicodemographic features can help prioritize testing in resource-limited settings, the identification of targetable drivers across all smoking groups supports the universal application of comprehensive NGS for all patients diagnosed with LUSC.

Humans↗

PubMed2026

Engineering CRISPR for Point-of-Care Tests.

CRISPR-based molecular diagnostics have emerged as powerful and programmable platforms that enable sensitive and specific detection for disease management and epidemiological surveillance. Advances in CRISPR engineering and assay design are driving the emergence of next-generation detection platforms that are highly sensitive, rapid, and amenable to field deployment. These engineering breakthroughs have the potential to reshape point-of-care tests (POCT) and transform how emerging and persistent health threats are monitored in decentralized and resource-limited settings. Herein, we systematically review the recent advancements in CRISPR engineering strategies aimed at improving detection sensitivity and specificity, eliminating the dependence on preamplification, and enabling robust POC deployment. The discussed strategies encompass both the rational engineering of CRISPR ribonucleoproteins (RNPs) and the optimization of downstream signaling modules for molecular diagnostic applications. We further highlight key challenges and future perspectives that may inspire impactful research directions and accelerate the advancement of CRISPR engineering strategies toward robust, field-deployable POCT platforms.

CRISPR-Cas Systems↗

PubMed2026

Low-pass whole-genome sequencing reveals genomic diversity and ecotype-specific adaptation in indigenous Tigrayan chickens.

Indigenous chickens play a critical role in food security and climate resilience in smallholder systems, yet their genomic diversity and adaptive potential remain insufficiently characterised. This study employed low-pass whole-genome sequencing (LP-WGS; 0.2-1.99×) to investigate genomic diversity, population structure, inbreeding and candidate environment-associated genomic variation in 33 chickens from highland, midland, and lowland agroecologies in the Tigray region of northern Ethiopia. After imputation and stringent filtering, 23.4 million high-confidence SNPs were retained, including ~ 17% novel variants, indicating substantial uncharacterised genetic diversity in these populations. SNP density (13.8 ± 8.6 SNPs/kb) was comparable to values reported from high-coverage Ethiopian chicken datasets, demonstrating the suitability of LP-WGS for population genomics in resource-limited settings. Marked differences in genomic diversity were observed among ecotypes: midland chickens showed the highest nucleotide diversity (π = 0.00267), followed by lowland (π = 0.00233), whereas highland chickens showed the lowest diversity (π = 0.00203) and elevated genomic inbreeding (FROH and FHOM ≈ 0.18). Population structure analyses revealed clear genetic separation among ecotypes. PCA (13.91% variation explained) distinguished lowland chickens along PC1 and separated highland from midland along PC2, while ADMIXTURE and FST patterns supported three major ancestral genomic backgrounds. Functional annotation of private missense variants uncovered distinct adaptive signatures reflecting the contrasting agroecological conditions. Highland chickens showed enrichment of candidate genes potentially involved in physiological processes relevant to high-altitude environments, including cold response, angiogenesis, cardiovascular regulation and metabolic homeostasis (eg., PARP1, ACOX2, ITGB3, EDNRB, SOX8, and SOX10). Midland chickens exhibited candidate signals of selection in genes with known roles in innate antiviral immunity, bacterial defence and inflammatory regulation (eg., BAK1, CLSTN1, CYSLTR1, CYSLTR2, CXCR7, GIPR, DSCAM, GDAP1, TLR3, TLR4, TLR7, IFIH1, ADORA1, EPHB1, and TMPRSS2). Lowland chickens displayed candidate variants associated with heat-stress response, DNA damage repair, oxidative balance and cardiovascular support under extreme temperatures (e.g., MLH1, BDKRB1, GPR19, FLT1, CCL18, TGM2, and RAMP3). Overall, the results indicate substantial genomic differentiation among ecotypes and suggest candidate environment-associated genetic divergence across Tigray's diverse agroecological zones. These populations may represent important reservoirs of adaptive genetic variation for climate-resilient poultry breeding, warranting further functional validation and conservation-oriented management.

Animals↗

PubMed2026

Comparison of the predictive performance of systemic immune-inflammation index and neutrophil-to-lymphocyte ratio for three-month poor functional outcome in ischemic stroke: a systematic review and meta-analysis.

INTRODUCTION: Ischemic stroke (IS) is a leading cause of global mortality and disability. Early and accurate prognosis is crucial for patient management. The neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) are emerging inflammatory biomarkers; however, their relative predictive value for three-month poor functional outcome (modified Rankin Scale [mRS] > 2) remains uncertain. METHODS: We systematically searched PubMed, Embase, Web of Science, and the Cochrane Library up to 20 July 2025, adhering to PRISMA guidelines. Observational studies reporting the association of SII or NLR with three-month poor outcome were included. Study quality was evaluated using the Newcastle-Ottawa Scale. Area under the curve (AUC), odds ratios (OR), and standardized mean differences (SMD) were pooled using random-effects models in Stata 16.0. RESULTS: Twenty-one studies involving 7520 IS patients were analysed. NLR demonstrated marginally superior discriminative ability compared to SII (AUC 0.71, 95% CI: 0.67-0.76 vs. 0.68, 95% CI: 0.64-0.71), though this difference was not statistically significant. Elevated NLR was significantly associated with poor outcome (OR = 1.26, 95% CI: 1.17-1.37, p < .001), whereas SII was not (OR = 1.00, 95% CI: 1.00-1.00, p = .384). Both markers showed moderate effect sizes (SMD: NLR = 0.69, SII = 0.72; p < .001). NLR performed better in non-intervention and Chinese subgroups, while SII exhibited consistent AUC values across treatment and ethnic subgroups. CONCLUSION: NLR and SII are accessible prognostic markers in IS. NLR demonstrates superior accuracy and a significant association with poor outcome, while SII shows greater stability across patient subgroups. Both may assist in risk stratification, in resource-limited settings.

Humans↗

PubMed2026

A cost-effective conventional endpoint PCR assay for HLA-B*13:01 genotyping to guide personalized dapsone therapy in leprosy in low-resource settings.

BACKGROUND: Dapsone is a drug used to treat leprosy. Dapsone causes a highly morbid and potentially fatal severe drug hypersensitivity reaction (DHS) in 1-3% of leprosy cases. The allele HLA-B*13:01 is a known genetic risk factor for DHS. However, resource-intensive genotyping methods preclude its testing in resource-limited settings. This study aimed to develop an endpoint PCR assay to detect the presence of HLA-B*13:01. RESEARCH DESIGN AND METHODS: DNA was extracted from blood samples of leprosy patients at Anandaban Hospital, Nepal (2022-24). A duplex endpoint PCR was optimized and validated against a previously validated commercial qPCR method and NGS (next‑generation sequencing). RESULTS: In 113 samples, duplex PCR showed 100% (95% CI: 79.4-100%) sensitivity and 100% specificity (95% CI: 96.2-100%) compared to the validated qPCR method. The same accuracy was confirmed in 58 NGS-typed samples (concordance 98.3%, 95% CI: 90.7-99.9%). The assay reliably differentiated HLA-B*13:01 from closely related allele. Analytical sensitivity reached a lower detection limit of 100 genome equivalents (0.67 ng DNA/reaction). CONCLUSION: The developed duplex endpoint PCR offers a simple and affordable method for detecting HLA-B*13:01, suitable in low-resource settings. Its use may significantly reduce the risk of DHS by guiding safer drug choices prior to MDT initiation.

Humans↗

PubMed2026

Metagenomic next-generation sequencing of cerebrospinal fluid reveals pathogen spectrum and mortality predictors among patients with advanced HIV-1 disease at a tertiary hospital in China.

BACKGROUND: Central nervous system (CNS) infections remain the major causes of morbidity and mortality among people living with HIV-1 (PLWH), particularly in resource-limited settings. However, the clinical characteristics and prognostic indicators of PLWH with suspected CNS infections are not well defined. In this study, we aim to characterize the spectrum of CNS pathogens, clinical characteristics, in-hospital mortality, and factors associated with death among people with advanced HIV-1 disease (AHD) in Guangxi, China. METHODS: Metagenomic next-generation sequencing (mNGS) was performed to analyze types of infection in cerebrospinal fluid (CSF) from 61 treatment-naive PLWH with suspected CNS infections. Clinical data, routine laboratory tests, and biochemical tests were collected and analyzed. RESULTS: Among the 61 CSF samples, primarily with AHD, a total of 206 pathogens were identified. Viral pathogens predominated, with Epstein-Barr virus being the most frequently identified, followed by cytomegalovirus. Compared with patients with single-pathogen infection, those with multiple infections (viral, bacterial, and fungal) exhibited significantly lower CD4 T cell counts, higher C-reactive protein levels, and markedly reduced lipid metabolism parameters. However, infection types were not significantly associated with in-hospital death. Multivariate logistic regression analysis identified plasma low density lipoprotein (LDL) and CSF lactate dehydrogenase (LDH) as independent predictors of in-hospital death. CONCLUSION: In PLWH with AHD and suspected CNS infections, multiple pathogens frequently coexist in the CSF. Plasma LDL and CSF LDH levels were independent predictors of death, indicating their potential value as early risk stratification in AHD.

Humans↗

PubMed2026

Comparative Effectiveness of Oral Ivermectin, 1% Permethrin Shampoo, and 4% Dimethicone Liquid Gel in Treatment of Pediculosis Capitis among School Children in Chachoengsao Province, Thailand.

Pediculosis capitis remains a persistent public health issue, especially in developing countries where resistance to standard neurotoxic pediculicides like permethrin is increasingly prevalent. This study aimed to compare the effectiveness of alternative treatment options against the standard care in a resource-limited setting. We conducted a single-blind randomized controlled trial involving three primary schools in Chachoengsao Province, Thailand (ClinicalTrials.gov: NCT06332872). Eighty-five female participants ages 6-13 years with active infestations were enrolled. Schools were randomly assigned to three treatment arms: 1) oral ivermectin (200 µg/kg) on Days 0 and 7; 2) 1% permethrin shampoo on Days 0 and 7, or 3) 4% dimethicone liquid gel as a single dose on Day 0. The primary outcome was the cure rate, defined as the absence of live lice and viable nits upon clinical assessment on Day 9. Of the 66 participants included in the final per-protocol analysis, oral ivermectin achieved a cure rate of 95.5% (21/22), which was significantly higher than that of the 1% permethrin standard of care (37.0%; 10/27) and the 4% dimethicone physical suffocant (29.4%; 5/17) (P <0.001). Although dimethicone achieved high initial parasitic clearance on Day 0 (88.2%), a rapid reinfestation rate of 58.8% was observed by Day 9, indicating that a single-dose protocol may be clinically insufficient. Adverse events were mild and temporary across all groups. Oral ivermectin appears significantly more effective than both 1% permethrin and single-dose 4% dimethicone in this population. These findings suggest that permethrin resistance is clinically prevalent and relevant in this area.

Humans↗

PubMed2026

The value of international collaborations for supporting neuroanesthesia practice, education, and research in resource-constrained settings.

PURPOSE OF REVIEW: Neuroanesthesia practice in low- and middle-income countries is constrained by workforce shortages, limited infrastructure, and variability in clinical practice. Growing global interest in collaboration makes it timely to evaluate how international partnerships can address these gaps and improve equity in care, education, and research. RECENT FINDINGS: Recent literature highlights substantial variability in neuroanesthesia practice and limited access to context-appropriate guidelines and advanced technologies. International collaborations, including training partnerships, scholarship programs, and research networks, have improved knowledge exchange, workforce development, and the adoption of standardized practices. Evidence suggests that specialized training is associated with improved clinical outcomes. However, persistent inequities in research participation, authorship, and leadership, as well as concerns regarding sustainability and 'parachute research', remain. SUMMARY: International collaboration is a key strategy for advancing neuroanesthesia in resource-constrained settings. Sustainable, equitable partnerships that prioritize local ownership, capacity building, and contextual adaptation are essential to improving clinical practice, strengthening education, and enhancing global research representation.

Humans↗

PubMed2026

Prevalence and risk factors of red blood cell alloimmunization among sickle cell disease patients in resource-limited countries: A systematic review and meta-analysis.

BACKGROUND: Sickle cell disease (SCD) is an inherited hemoglobinopathy characterized by hemoglobin S production, in which homozygous individuals (HbSS) develop a broad range of acute and chronic complications. While disease-modifying and curative therapies are increasingly available in high-income settings, red blood cell (RBC) transfusion remains the mainstay of treatment in resource-limited countries and is associated with high rates of alloimmunization. This systematic review and meta-analysis aimed to estimate the prevalence of alloimmunization and identify associated risk factors among patients with SCD living in resource-limited settings. METHODS: Africa Journals Online (AJOL), Embase, PubMed, Scopus, and Web of Science were searched for original studies published from inception to December 15, 2025. Only studies conducted in low- and lower-middle-income countries (LMICs) were included. Eligible studies evaluated the prevalence of alloimmunization in patients with SCD receiving RBC transfusions. A random-effects meta-analysis of proportions was performed to pool quantitative data, while qualitative findings were systematically summarized in tabular form. Statistical heterogeneity was assessed using the I² statistic and further explored using Baujat plots, leave-one-out analyses, and meta-regression. RESULTS: Our analysis included 27 studies conducted in Africa (n = 23) and Asia (n = 4), predominantly from lower-middle-income countries (n = 19) and mainly employing a cross-sectional design (n = 20), comprising 3128 previously transfused patients with SCD. The pooled prevalence of RBC alloimmunization was 8.76% (95% CI: 6.71-11.37%; I² = 75%). Higher alloimmunization rates were observed in West and North Africa, particularly in Côte d'Ivoire, Egypt, and Nigeria, whereas lower rates were reported in Asia and East Africa. The most frequently identified antibodies belonged to the Rh blood group system (n = 153), followed by the Kell system (n = 65). CONCLUSION: In resource-limited settings, RBC alloimmunization is a frequent and clinically significant complication in patients with SCD, contributing to increased morbidity and potential mortality. Targeted and economically viable antigen matching may reduce alloimmunization rates and improve transfusion safety in LMICs.

Humans↗

PubMed2026

Costs of surgeries in low- and middle-income countries: a systematic literature review.

BACKGROUND: Surgical care is essential for achieving global health equity, yet low- and middle-income countries (LMICs) face major gaps in access and planning, partly due to limited evidence on the costs and resource requirements of surgical interventions. Understanding these costs is vital for designing efficient and equitable health systems. METHODS: We conducted a systematic literature review (covering MEDLINE, EMBASE, Global Health, EconLit and grey literature) to identify studies reporting the costs of surgeries in LMICs from January 2000 to June 2023. Minor and major surgical procedures were considered, focusing on therapeutic procedures (excluding diagnostic interventions). Studies that clearly identified, quantified and costed hospital resources and services deployed in the provision of surgical care, and included at least two of the surgical production factors (ie, consumables, diagnostics, personnel, infrastructure and overhead) in the costing were included. Costs were standardised to 2023 International dollars (I$) for comparability. RESULTS: A total of 74 studies from 29 countries met the inclusion criteria, with 210 cost estimates across 65 procedure groups. Costs varied widely: from I$1.54 for a caesarean section in Tanzania to I$618 098 for paediatric cataract surgery in Zambia. Full costing studies reported higher estimates than partial costing studies. Most studies (60%) originated from upper-middle-income countries, with limited data (10%) from low-income settings. CONCLUSION: This review provides a reference list of surgical procedure costs across LMICs, highlighting considerable cost variation by procedure, specialty and country. The findings underscore the need for better-quality, standardised cost data-especially from low-income countries-to inform national surgical plans, universal health coverage benefit packages and reimbursement policies.

Developing Countries↗