Organisms must regulate metabolic resources such as oxygen (O2) and nutrients despite environmental variability and the energetic costs of their own actions1–3. Such regulation can occur reactively, through homeostatic corrections of recent imbalances, or predictively, through allostatic adjustments that anticipate future demand4,5. Predictive regulation is particularly important because metabolic resources often continue to be consumed for seconds to minutes after motor actions cease as tissues repay incurred costs, making it advantageous to prevent depletion before it occurs6. However, the cellular and circuit mechanisms for allostatic control remain largely unknown5,7,8. Using whole-brain neuronal and astroglial imaging and O2 measurements in behaving zebrafish, we identified a noradrenergic–astroglial circuit that detects, anticipates, and prevents internal O2 depletion. We found that swimming exacerbated internal hypoxia with a multi-second delay, but behavioral adaptations occurred before such self-generated hypoxia manifested, suggesting predictive control, confirmed using computational modeling. Noradrenergic neurons in the nucleus of the solitary tract directly detected brain hypoxia and received efference copies of swimming actions; these inputs summed at the level of membrane voltage to increase spiking and norepinephrine release when actions and resource scarcity co-occurred. Astroglia integrated noradrenergic input into prolonged Ca2+ elevation that tracked the O2 cost of recent actions and thereby predicted O2 debt relative to O2 availability, rising ∼8 s before O2 fell. This astroglial prediction reorganized brain-wide activity to suppress locomotion and promote respiration, preempting O2 depletion. Silencing noradrenergic neurons or astroglial signaling abolished these hypoxia coping behaviors, whereas selective activation evoked them. This neuronal–astroglial mechanism constitutes a predictive control system that integrates physiological state with behavioral intent to avert metabolic crisis, revealing a cellular substrate for proactive energy management.  

Survival during infection depends on both pathogen clearance and the ability to tolerate infection-induced physiological changes. Metabolic adaptations are a central component of this tolerance, but the mechanisms underlying these responses remain incompletely defined. Here, we identify white adipose tissue (WAT) lipolysis as a central regulator of metabolic tolerance to infection. In patients with sepsis, higher circulating non-esterified fatty acid (NEFA) levels were associated with reduced mortality. In mouse models of polymicrobial sepsis, infection induced robust adipose lipolysis and increased circulating NEFAs. Genetic ablation of adipose triglyceride lipase (ATGL) in adipose tissue impaired lipolysis, leading to hypothermia, bradycardia, and increased mortality without altering immune cell populations or pathogen burden, consistent with a defect in tolerance rather than resistance. Mechanistically, lipolysis-derived NEFAs, but not glycerol, were required for protection, as restoring circulating NEFAs rescued autonomic stability and survival in adipose tissue ATGL-deficient mice. Infection-induced lipolysis was redundantly regulated and did not depend on any single upstream signaling pathway. Both pharmacologic activation of lipolysis using a β3-adrenergic agonist and exogenous fatty acid supplementation increased circulating NEFAs, improved survival, and promoted tolerance in mice. Consistent with these findings, analysis of real-world electronic health record data demonstrated that septic patients receiving FDA-approved β3-adrenergic agonists had reduced mortality or hospice discharge in a propensity-matched cohort. Together, these results identify WAT lipolysis and circulating fatty acids as key mediators of tolerance to infection and support a therapeutic strategy based on repurposing clinically available β3-adrenergic agonists to improve outcomes in sepsis.

Peroxisomes are eukaryotic organelles that compartmentalize crucial metabolic reactions. Peroxisome size, shape, and number are governed by the peroxisomal membrane protein PEX11. PEX11 is encoded in multiple isoforms across diverse eukaryotes, including five in Arabidopsis, but the functional distinctions among these isoforms are largely uncharacterized. Here we report null pex11 mutants in plants expressing reporters that mark peroxisome membranes and lumen to illuminate distinct functions for PEX11 isoforms. We find that PEX11C/D/E promotes the formation of peroxisomal intralumenal vesicles, limits peroxisome size throughout development, and is required for efficient fatty acid β-oxidation in germinating seedlings. Unlike the pervasive roles of PEX11C/D/E, we find that PEX11A/B promotes the formation of peroxisomal intralumenal vesicles and limits peroxisome enlargement specifically during seedling lipid mobilization. Complete loss of the PEX11 family confers seedling lethality, even though peroxisomes remain abundant. Our findings reveal that Arabidopsis PEX11 isoforms shape internal peroxisome membranes and have distinct functions in cellular physiology that are essential for plant development. These results extend the roles of PEX11 beyond its canonical function in peroxisome division.

Spectral information plays a crucial role in biological imaging, yet conventional epifluorescence and histological techniques often rely on RGB image acquisition, limiting the resolution of spectrally overlapping components. Here, we present a phasor-based spectral analysis framework adapted for RGB images, enabling unsupervised segmentation and unmixing without the need for hyperspectral systems or sequential acquisition. By applying a discrete Fourier transform to the red, green, and blue intensities at each pixel, we generate a two-dimensional phasor plot where spectral relationships are encoded in modulation and phase. We demonstrate the utility of this approach across three distinct applications: segmentation of lung histology images stained with hematoxylin and eosin to quantify alveolar collapse, analysis of autofluorescence in skin lesions (nevi and melanoma) to highlight pathological spectral signatures, and spectral unmixing in multicolor-labeled U2OS cells to resolve overlapping fluorophores. Our method improves signal separation, reduces noise, and enhances biological interpretability using standard RGB acquisition. These findings establish RGB phasor analysis as a practical and powerful tool for spectral decomposition and segmentation in microscopy, bridging the gap between conventional imaging and advanced spectral analysis.

Metabolic processes shape ageing and longevity at multiple levels. Emerging evidence shows that many of these processes are orchestrated within and between cellular organelles. Organelles function not only as metabolic reactors but also as signalling hubs, and their coordination plays crucial roles in maintaining cellular homeostasis and promoting organismal fitness. Rather than acting in isolation, organelles engage in dynamic crosstalk through membrane contact sites, metabolite exchange and signalling interplay. In recent years, organelles have been increasingly recognized as critical regulators of ageing and longevity. Here we summarize age-related organellar changes, highlight organelle-mediated intra- and intercellular signalling communication in lifespan and healthspan regulation, and discuss the active roles of organelles in microbiome-host interactions and transgenerational inheritance in regulating longevity. We further outline how longevity-promoting interventions influence organelles, and provide perspectives on how future technological advances may further accelerate progress in this emerging research topic.

Spontaneously blinking fluorophores toggle between nonfluorescent and fluorescent forms without caging groups or redox buffers, enabling super-resolution imaging. The intrinsic blinking of such dyes is governed by molecular structure and modulated by environment; there is no one-size-fits-all fluorophore suitable for every imaging context. We report dyes with tuned on:off ratios that enable single-molecule localization microscopy and super-resolution optical fluctuation imaging of biomolecular structures in vitro and in cells.

Object recognition depends on the ability to extract stable representations across changes in how they are viewed, yet it remains unclear how this capacity depends on visual acuity and cortical hierarchy. We combined behavioral testing and computational modeling to determine whether tree shrews, close relatives of primates with lower spatial acuity, can perform transformation-tolerant object recognition. Front-end modeling incorporating species-specific optics and photoreceptor sampling showed that, when scaled for acuity, tree shrew retinal filtering preserves the similarity structure of natural image categories relevant for object recognition. Behaviorally, tree shrews reliably discriminated complex objects across variations in position, scale, and viewpoint, including when embedded within natural scenes, and generalized to novel exemplars. Their recognition behavior was best explained by visual features emphasizing differences in global shape and size between objects and by representations from intermediate and deep layers of hierarchical neural network models. These results demonstrate that visual processing supporting object-level generalization can arise within visual systems lacking high-acuity front-end optics and establish the tree shrew as a key model for understanding the computational and evolutionary origins of high-level vision.

The global microscopy community has made wide efforts in imaging technology dissemination, especially to lower- and middle-income countries. Yet, many efforts have not fully realised their aim of increased, sustained microscopy utilisation. To guide future outreach initiatives towards more positive results, we analysed over 2300 unique applications across seven recent international microscopy workshops. We found significant differences in research priorities, as well as in microscopy experience and applications between lower- and higher-income regions. We discuss the importance of tailoring technology dissemination, training curricula, and capacity-building to these regional variations.

There is strong evidence that synaptic plasticity is a critical cellular mechanism underlying learning and memory. Although the forms of synaptic plasticity used by different circuits and cell types vary, a widespread presumption is that the male and female brain has evolved to use the same form of plasticity within the same circuits during performance on the same task. Here, we used complimentary approaches to determine how activity in the mouse frontal cortex supports the extinction of associative memories in a context-dependent manner. While in vivo recordings show that both male and female mice have similar cue-relevant activity patterns and ensemble dynamics in excitatory neurons from the infralimbic cortex (IL) during learning, activity in amygdala-projecting IL neurons was indispensable for extinction memories only in male mice. Likewise, male but not female mice showed evidence for the recruitment of IL by structural remodeling and clustering of dendritic spines on these neurons, and extinction memory impairments were evident only in male mice after projection-specific IL deletion of the glutamate receptor subunit GRIN2B. This work provides strong evidence that synaptic plasticity mechanisms employed during learning and critical for memory retrieval differ between males and females, which undercuts the utility of one-size-fits all therapeutic approaches for mental health conditions in which memory is disrupted.Competing Interest StatementThe authors have declared no competing interest.

Light sheet fluorescence microscopy (LSFM) is increasingly appreciated as the gold standard for gentle, volumetric imaging with fast acquisition speeds and/or long imaging durations. However, the often-constrained sample space of these microscopes has precluded a specific class of biological specimens from being studied with these tools: those requiring an air-liquid interface (ALI). Here, we present a device for robust imaging at ALI on an upright light sheet microscope with dipping objectives. We demonstrate the system using three relevant use-cases: ex vivo embryonic mouse salivary glands, human epidermal equivalent cultures, and in vivo adult Drosophila melanogaster brains. While the device presented is engineered for one specific light sheet microscope design, it provides a blueprint for easy adaptation to other systems. In doing so, it can potentially spur the use of LSFM for model systems that have so far been unable to take advantage of this powerful technology.