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Biology subjects

Chow, F. C.

Publications and source records attributed to Chow, F. C..

2 recordsLinked to original sources
bioRxiv2026

Transcriptionally Active HIV Reservoirs Enriched for Interferon-Inducible APOBEC3-Related Mutational Signatures Associate with Arterial Inflammation

Despite suppressive antiretroviral therapy (ART), people with HIV (PWH) remain at increased risk of cardiovascular disease (CVD), likely driven, at least in part, by persistent immune activation and vascular inflammation. Mechanistic pathways may include ongoing low-level HIV transcription within immune cells, particularly peripheral blood mononuclear cells (PBMCs), which may contribute to chronic inflammatory signaling. Persistent viral transcription and inflammatory signaling may also be associated with an interferon-responsive cellular environment conducive to APOBEC3 activation and mutational editing of viral transcripts. APOBEC3 enzymes, which are interferon (IFN)-inducible cytidine deaminases, generate characteristic premature stop codons (PSCs) within retroviral genomes and may reflect interferon-associated inflammatory states relevant to vascular pathology. We investigated whether APOBEC3-associated PSC signatures and reservoir-associated drug resistance mutations (RA-DRMs) in viral reservoirs, as markers of persistent reservoir transcriptional activity, are associated with vascular inflammation in ART-suppressed individuals. PBMCs from ART-suppressed PWH (n=36) were analyzed for long HIV-1 gag/pol transcripts (>4.2 kb) and PSCs as a surrogate marker of APOBEC3 activity, with RA-DRMs assessed by Oxford Nanopore sequencing. Arterial inflammation was quantified using PET imaging of the aorta and carotid arteries. Additionally, an exploratory panel of >60 cardiometabolic, clinical, and inflammatory biomarkers was profiled to identify host immune signatures associated with reservoir PSC burden, with focused analyses on circulating inflammatory biomarkers sCD14, sCD163, and IP-10. Long HIV-1 transcripts were detected in 67% (24/36) despite ART. Higher PSC frequency within these transcripts was significantly associated with increased aortic inflammation, but not carotid inflammation, in univariable analysis ({beta} = 0.00834, p = 0.013). RA-DRMs were detected in 50% (12/24), including triple-class resistance, but were not associated with vascular inflammation or soluble biomarkers. In multivariable models, PSCs remained independently associated with aortic inflammation after adjustment for sCD14 and sCD163 ({beta} = 0.0075, p = 0.023), and remained the only significant predictor when IP-10 was included ({beta} = 0.0073, p = 0.036). These findings suggest that APOBEC3-associated PSC signatures in long HIV transcripts identify transcriptionally active HIV reservoir states associated with aortic inflammation during suppressive ART. Rather than reflecting ongoing mutational accumulation or direct pathogenic effects of PSCs themselves, these signatures may serve as biomarkers of an interferon-associated inflammatory reservoir state related to cardiovascular risk. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/729898v1_ufig1.gif" ALT="Figure 1"> View larger version (13K): org.highwire.dtl.DTLVardef@531cb9org.highwire.dtl.DTLVardef@82c53corg.highwire.dtl.DTLVardef@16318aaorg.highwire.dtl.DTLVardef@e87e22_HPS_FORMAT_FIGEXP M_FIG C_FIG Highlights: Interferon-inducible APOBEC3-associated PSC signatures in HIV reservoirs and vascular inflammationO_LIAPOBEC3-associated premature stop codon (PSC) signatures were identified in transcriptionally active HIV reservoir-derived RNA despite suppressive ART. C_LIO_LIHigher PSC burden was significantly associated with increased aortic vascular inflammation measured by FDG-PET. C_LIO_LIReservoir-associated drug resistance mutations (RA-DRMs) showed no association with arterial inflammation. C_LIO_LIPSC burden remained independently associated with aortic vascular inflammation in multivariable analyses. C_LIO_LIPSC-enriched reservoir states were associated with inflammatory biomarker patterns consistent with monocyte-macrophage activation and vascular immune activation. C_LIO_LIThese findings are consistent with an interferon-inducible APOBEC3-edited reservoir state associated with persistent arterial inflammation during suppressive ART. C_LIO_LIAPOBEC3-associated mutational signatures may represent a candidate biomarker of vascular inflammation and cardiovascular risk in people with HIV. C_LI

molecular biology↗
bioRxiv2017

Metagenomics for chronic meningitis: clarifying interpretation and diagnosis

ImportanceIdentifying infectious causes of subacute and chronic meningitis can be challenging. Enhanced, unbiased diagnostic approaches are needed.\n\nObjectiveTo present a case series of patients with diagnostically challenging subacute and chronic meningitis in whom metagenomic next-generation sequencing (mNGS) of cerebrospinal fluid (CSF), supported by a statistical framework generated from mNGS sequencing of non-infectious patients and environmental controls, identified a pathogen.\n\nDesignCase series. Using mNGS data from the CSF of 94 non-infectious neuroinflammatory cases and 24 water and reagent controls, we developed and implemented a weighted scoring metric based on z-scores at the species and genus level for both nucleotide and protein databases to prioritize and rank mNGS results. We performed mNGS on total RNA extracted from CSF of patients with subacute or chronic meningitis and highlight seven cases representing a diverse array of pathogens.\n\nSettingA multi-center study of mNGS pathogen discovery in patients with suspected neuroinflammatory conditions.\n\nParticipantsPatients with diagnostically challenging subacute or chronic meningitis enrolled in a research study of mNGS performed on CSF.\n\nInterventionmNGS was performed on total RNA extracted from CSF (0.25-0.5 mL). A weighted z-score was used to filter out environmental contaminants and facilitate efficient data triage and analysis.\n\nMain Outcomes1) Pathogens identified by mNGS and 2) ability of a statistical model to prioritize, rank, and simplify mNGS results.\n\nResultsmNGS identified parasitic worms, fungi and viruses in seven subjects: Taenia solium (n=2), Cryptococcus neoformans, human immunodeficiency virus-1, Aspergillus oryzae, Histoplasma capsulatum, and Candida dubliniensis. Evaluating mNGS data with a weighted z-score based scoring algorithm effectively separated bona fide pathogen sequences from spurious environmental sequences.\n\nConclusions and RelevancemNGS of CSF identified a diversity of microbial pathogens in patients with diagnostically challenging subacute or chronic meningitis, including a case of subarachnoid neurocysticercosis that defied diagnosis for one year, the first case of CNS vasculitis caused by Aspergillus oryzae, and the fourth reported case of Candida dubliniensis meningitis. Filtering metagenomic data with a scoring algorithm greatly clarified data interpretation and highlights the difficulties attributing biological significance to organisms that may be present in control samples used for metagenomic sequencing studies.\n\nKey PointsQuestion: How can metagenomic next-generation sequencing of cerebrospinal fluid be leveraged to aid in the diagnosis of patients with subacute or chronic meningitis?\n\nFindings: Metagenomic next-generation sequencing identified parasitic worms, fungi and viruses in a case series of seven subjects. A database of water-only and healthy patient controls enabled application of a z-score based scoring algorithm to effectively separate bona fide pathogen sequences from spurious environmental sequences.\n\nMeaning: Our scoring algorithm greatly simplified data interpretation in a series of patients with a wide range of challenging infectious causes of subacute or chronic meningitis identified by metagenomic next-generation sequencing.

microbiology↗