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Biggs, C.

Publications and source records attributed to Biggs, C..

2 recordsLinked to original sources

A Druggable G Protein Checkpoint in Cholesterol Efflux

Immunometabolic diseases such as obesity, fatty liver, and atherosclerosis arise when lipid-associated macrophages (LAMs) fail to resolve lipid overload via reverse cholesterol transport (RCT), the bodys sole pathway for lipid disposal. How RCT is restrained in disease remains unknown. Integrating systems modeling with human plaque transcriptomes, we identify LAM subpopulations associated with plaque progression and uncover CCDC88A (GIV) as a macrophage-intrinsic checkpoint on RCT. Myeloid-specific GIV deletion in mice reduces aortic plaque burden, mobilizes hepatic and adipose lipid stores and promotes fecal sterol disposal. Mechanistically, GIV sequesters the cholesterol transporter ABCA1 within endomembranes and activates Gi[bullet]{beta}{gamma} signaling to suppress cAMP/PKA-CREB-dependent efflux programs. Pharmacogenomic disruption of this checkpoint reactivates efflux programs. In human plaque-in-a-dish models targeting this pathway restored efflux where statins and {beta}-blockers failed, translating to an estimated [~]98% reduction in plaque-progression risk in outcome modeling. Thus, RCT-restoration represents a macrophage-intrinsic therapeutic paradigm for immunometabolic disease. GRAPHIC ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=199 SRC="FIGDIR/small/705962v2_ufig1.gif" ALT="Figure 1"> View larger version (64K): org.highwire.dtl.DTLVardef@50dd10org.highwire.dtl.DTLVardef@e16d9borg.highwire.dtl.DTLVardef@1e2eaf3org.highwire.dtl.DTLVardef@af29b9_HPS_FORMAT_FIGEXP M_FIG C_FIG eTOC blurbLipid-associated macrophages drive immunometabolic disease. Katkar et al. show that disabling a GIV-dependent G-protein brake restores cholesterol efflux, reverses plaque lipid accumulation, and establishes reverse cholesterol transport as a druggable therapeutic axis. HighlightsO_LIStatins slow but rarely reverse plaque burden, leaving residual risk driven by LAM dysfunction C_LIO_LIGIV (CCDC88A) non-canonically modulates Gi to suppress macrophage cholesterol efflux C_LIO_LIGIV loss or inhibition restores ABCA1 activity via transcriptional and post-translational control C_LIO_LIBlocking GIV[bullet]Gi checkpoint defats LAMs, regresses plaques, and relieves systemic lipid overload C_LIO_LISIdentifies a druggable node that redefines RCT restoration as a therapeutic paradigm in immunometabolic disease C_LI

immunology↗

COMPARING THE EFFICACY OF CONVENTIONAL SURVEY METHODS TO EDNA IN A RAPID MULTI-TAXA SURVEY OF A TROPICAL RAINFOREST ECOSYSTEM

Madagascar is globally recognized for its exceptional biodiversity and endemism yet remains severely under-sampled for many taxa. We evaluate the effectiveness of environmental DNA (eDNA) metabarcoding as a rapid, non-invasive method for surveying vertebrate biodiversity in the Makira Forest Protected Area (MFPA), comparing its performance to conventional surveys across a range of vertebrate taxa. eDNA sampling detected 158 OTUs across 17 sites, outperforming conventional surveys in birds (p = 0.000107), mammals (p = 0.000718) amphibians (p = 0.000725), reptiles (p = 0.000877) and ray-finned fish (p = 0.00788). We further examined the result for ray-finned fish by modelling species-accumulation curve asymptotes which supported this result. However, significant primer bias and amplification inconsistencies were observed, particularly in amphibian detections, and a high proportion of OTUs could not be resolved to species level due to a combination of taxonomic gaps in reference databases, DNA degradation affecting sequence quality or length, and marker-specific limitations. We demonstrate, using species accumulation curves of our eDNA data and inventoried taxa lists of the MFPA, that the widespread practice of considering only resolved OTUs, rather than all unresolved OTUs, significantly underestimates biodiversity. This study underscores both the promise and current limitations of eDNA as a tool for tropical biodiversity assessment, specifically when compared to conventional sampling techniques. Combining eDNA and conventional survey methods increased species detection rates by 66.4% in comparison to the use of visual surveys alone, highlighting their complementary strengths and reinforcing the value of integrated monitoring strategies for biodiversity-rich, data-deficient regions.

ecology↗