Trajectory Ryan, Laura A.
The New England journal of medicine,
10/2022, Volume:
387, Issue:
16
Journal Article
Peer reviewed
By 9 p.m., we had lost the game. The trauma pager beeped incessantly. We gowned and gloved, became covered in blood, shed our bloody scrub skins, and started again.
This review summarises knowledge on the ecology, toxin production, and impacts of toxic freshwater benthic cyanobacterial proliferations. It documents monitoring, management, and sampling strategies, ...and explores mitigation options.
Toxic proliferations of freshwater benthic cyanobacteria (taxa that grow attached to substrates) occur in streams, rivers, lakes, and thermal and meltwater ponds, and have been reported in 19 countries. Anatoxin‐ and microcystin‐containing mats are most commonly reported (eight and 10 countries, respectively).
Studies exploring factors that promote toxic benthic cyanobacterial proliferations are limited to a few species and habitats. There is a hierarchy of importance in environmental and biological factors that regulate proliferations with variables such as flow (rivers), fine sediment deposition, nutrients, associated microbes, and grazing identified as key drivers. Regulating factors differ among colonisation, expansion, and dispersal phases.
New ‐omics‐based approaches are providing novel insights into the physiological attributes of benthic cyanobacteria and the role of associated microorganisms in facilitating their proliferation.
Proliferations are commonly comprised of both toxic and non‐toxic strains, and the relative proportion of these is the key factor contributing to the overall toxin content of each mat.
While these events are becoming more commonly reported globally, we currently lack standardised approaches to detect, monitor, and manage this emerging health issue. To solve these critical gaps, global collaborations are needed to facilitate the rapid transfer of knowledge and promote the development of standardised techniques that can be applied to diverse habitats and species, and ultimately lead to improved management.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
TCF-1 is a key transcription factor in progenitor exhausted CD8 T cells (Tex). Moreover, this Tex cell subset mediates responses to PD-1 checkpoint pathway blockade. However, the role of the ...transcription factor TCF-1 in early fate decisions and initial generation of Tex cells is unclear. Single-cell RNA sequencing (scRNA-seq) and lineage tracing identified a TCF-1+Ly108+PD-1+ CD8 T cell population that seeds development of mature Tex cells early during chronic infection. TCF-1 mediated the bifurcation between divergent fates, repressing development of terminal KLRG1Hi effectors while fostering KLRG1Lo Tex precursor cells, and PD-1 stabilized this TCF-1+ Tex precursor cell pool. TCF-1 mediated a T-bet-to-Eomes transcription factor transition in Tex precursors by promoting Eomes expression and drove c-Myb expression that controlled Bcl-2 and survival. These data define a role for TCF-1 in early-fate-bifurcation-driving Tex precursor cells and also identify PD-1 as a protector of this early TCF-1 subset.
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•scRNA-seq defines an effector versus exhausted Tex cell-fate decision•TCF-1 plays a central role in initially establishing Tex precursor cells•PD-1 supports the TCF-1+ Tex precursor cells at early phase of chronic infection•Eomes and c-Myb play key roles in Tex cell persistence downstream of TCF-1
The initiation of the T cell exhaustion program remains poorly understood. In this study, Chen et al. define an effector (Teff) versus exhausted (Tex) CD8 T cell binary-fate decision during chronic infection and find that TCF-1 supports the Tex precursor development by antagonizing Teff-like cell differentiation through multiple transcription factors.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Powassan virus (POWV) is an emerging tick borne flavivirus (TBFV) that causes severe neuroinvasive disease. Currently, there are no approved treatments or vaccines to combat POWV infection. Here, we ...generated and characterized a nanoparticle immunogen displaying domain III (EDIII) of the POWV E glycoprotein. Immunization with POWV EDIII presented on nanoparticles resulted in significantly higher serum neutralizing titers against POWV than immunization with monomeric POWV EDIII. Furthermore, passive transfer of EDIII-reactive sera protected against POWV challenge in vivo. We isolated and characterized a panel of EDIII-specific monoclonal antibodies (mAbs) and identified several that potently inhibit POWV infection and engage distinct epitopes within the lateral ridge and C-C' loop of the EDIII. By creating a subunit-based nanoparticle immunogen with vaccine potential that elicits antibodies with protective activity against POWV infection, our findings enhance our understanding of the molecular determinants of antibody-mediated neutralization of TBFVs.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Abstract
ATRX is a tumor suppressor that has been associated with protection from DNA replication stress, purportedly through resolution of difficult-to-replicate G-quadruplex (G4) DNA structures. ...While several studies demonstrate that loss of ATRX sensitizes cells to chemical stabilizers of G4 structures, the molecular function of ATRX at G4 regions during replication remains unknown. Here, we demonstrate that ATRX associates with a number of the MCM replication complex subunits and that loss of ATRX leads to G4 structure accumulation at newly synthesized DNA. We show that both the helicase domain of ATRX and its H3.3 chaperone function are required to protect cells from G4-induced replicative stress. Furthermore, these activities are upstream of heterochromatin formation mediated by the histone methyltransferase, ESET, which is the critical molecular event that protects cells from G4-mediated stress. In support, tumors carrying mutations in either
ATRX
or
ESET
show increased mutation burden at G4-enriched DNA sequences. Overall, our study provides new insights into mechanisms by which ATRX promotes genome stability with important implications for understanding impacts of its loss on human disease.
The goal of the SunPy project is to facilitate and promote the use and development of community-led, free, and open source data analysis software for solar physics based on the scientific Python ...environment. The project achieves this goal by developing and maintaining the sunpy core package and supporting an ecosystem of affiliated packages. This paper describes the first official stable release (version 1.0) of the core package, as well as the project organization and infrastructure. This paper concludes with a discussion of the future of the SunPy project.
•The first study to profile FA from diverse yeasts grown in three culture conditions.•Discovery of thirteen new oleaginous yeast species.•FA proportion varied with the growth conditions regardless of ...taxonomic affiliation.•Dominant fatty acid were oleic acid, palmitic acid, linoleic acid and stearic acid.•Nitrogen starvation boosted accumulation of linoleic acid in many species.
Oleaginous yeasts have been studied for oleochemical production for over 80years. Only a few species have been studied intensely. To expand the diversity of oleaginous yeasts available for lipid research, we surveyed a broad diversity of yeasts with indicators of oleaginicity including known oleaginous clades, and buoyancy. Sixty-nine strains representing 17 genera and 50 species were screened for lipid production. Yeasts belonged to Ascomycota families, Basidiomycota orders, and the yeast-like algal genus Prototheca. Total intracellular lipids and fatty acid composition were determined under different incubation times and nitrogen availability. Thirteen new oleaginous yeast species were discovered, representing multiple ascomycete and basidiomycete clades. Nitrogen starvation generally increased intracellular lipid content. The fatty acid profiles varied with the growth conditions regardless of taxonomic affiliation. The dominant fatty acids were oleic acid, palmitic acid, linoleic acid, and stearic acid. Yeasts and culture conditions that produced fatty acids appropriate for biodiesel were identified.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
Menopause results in a progressive decline in 17β-estradiol (E2) levels, increased adiposity, decreased insulin sensitivity, and a higher risk for type 2 diabetes. Estrogen therapies can help reverse ...these effects, but the mechanism(s) by which E2 modulates susceptibility to metabolic disease is not well understood. In young C57BL/6N mice, short-term ovariectomy decreased—whereas E2 therapy restored—mitochondrial respiratory function, cellular redox state (GSH/GSSG), and insulin sensitivity in skeletal muscle. E2 was detected by liquid chromatography-mass spectrometry in mitochondrial membranes and varied according to whole-body E2 status independently of ERα. Loss of E2 increased mitochondrial membrane microviscosity and H2O2 emitting potential, whereas E2 administration in vivo and in vitro restored membrane E2 content, microviscosity, complex I and I + III activities, H2O2 emitting potential, and submaximal OXPHOS responsiveness. These findings demonstrate that E2 directly modulates membrane biophysical properties and bioenergetic function in mitochondria, offering a direct mechanism by which E2 status broadly influences energy homeostasis.
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•E2 restores redox balance and insulin sensitivity in skeletal muscle after ovariectomy•E2 localizes to mitochondria independently of ERα and lowers membrane microviscosity•E2 promotes bioenergetic function through complex I activity, electron transfer, and OXPHOS responsiveness•The fine-tuning effect of E2 in mitochondria influences energy homeostasis
Loss of estrogen from menopause increases the risk of developing metabolic diseases. Torres et al. show that 17β-estradiol (E2) localizes to mitochondrial membranes consistent with whole-body E2 status. The presence of E2 decreases microviscosity, which improves bioenergetic function, thus offering a biophysical mechanism by which E2 influences energy homeostasis.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Although nicotinamide nucleotide transhydrogenase (NNT)-deficient C57BL/6J (6J) mice are known to be highly susceptible to diet-induced metabolic disease, this notion stems primarily from comparisons ...of 6J mice to other inbred strains. To date, very few studies have directly compared metabolic disease susceptibility between NNT-deficient 6J mice and NNT-competent C57BL/6 substrains. In this study, comprehensive profiling of the metabolic response to a high-fat/high-sucrose diet (HFD) were compared across time in 6J and C57BL/6NJ (6N) mice. Given that increased peroxide exposure drives insulin resistance, coupled with the fact that NNT regulates peroxide detoxification, it was hypothesized that 6J mice would experience greater derangements in redox homeostasis/metabolic disease upon HFD exposure. Contrary to this, both lines were found to be highly susceptible to diet-induced metabolic disease, as evidenced by impairments in glucose tolerance as early as 24 h into the HFD. Moreover, various markers of the metabolic syndrome, as well as peroxide stress, were actually blunted, rather than exacerbated, in the 6J mice, likely reflecting compensatory increases in alterative redox-buffering pathways. Together, these data provide evidence that the susceptibility to HFD-induced metabolic disease is similar in the 6J and 6N substrains. Given the numerous genetic variances in the 6J stain, including loss of NNT function, these findings suggest that the 6N substrain is the more logical and representative genetic background model for metabolic studies.
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