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Rohm, M.

Publications and source records attributed to Rohm, M..

6 recordsLinked to original sources

NF-kappaB and JNK pathways mediate metabolic adaptation upon ESCRT-I deficiency

Endosomal Sorting Complexes Required for Transport (ESCRTs) are crucial for delivering membrane receptors or intracellular organelles for lysosomal degradation. Yet, how ESCRT dysfunction affects cell metabolism remained elusive. To address this, we analyzed transcriptomes of cells lacking TSG101 or VPS28 proteins, components of ESCRT-I subcomplex. ESCRT-I deficiency reduced the expression of genes encoding enzymes involved in oxidation of fatty acids and amino acids, and increased the expression of genes encoding glycolytic enzymes. Although depletion of ESCRT-I components did not impair mitochondrial biogenesis and ATP-linked respiration it caused intracellular accumulation of lipids and increased lactate production, hallmarks of aerobic glycolysis. Mechanistically, the observed transcriptional reprogramming towards glycolysis in the absence of ESCRT-I occurred due to activation of the canonical NF{kappa}B and JNK signaling pathways. Moreover, inhibiting lysosomal activity phenocopied the altered expression of metabolic genes and lipid homeostasis observed for ESCRT-I deficiency, indicating that ESCRT-I restricts glycolysis by mediating lysosomal degradation.

cell biology↗

Macroscopic label-free biomedical imaging withshortwave infrared Raman scattering

Shortwave infrared (SWIR) imaging provides enhanced tissue penetration and reduced autofluorescence in clinical and pre-clinical applications. However, existing applications often lack the ability to probe chemical composition and molecular specificity without the need for contrast agents. Here, we present a SWIR imaging approach that visualizes spontaneous Raman scattering with remarkable chemical contrast deep within tissue across large fields of view. Our results demonstrate that Raman scattering overcomes autofluorescence as the predominant source of endogenous tissue background at illumination wavelengths as short as 892 nm. We highlight the versatility of SWIR Raman imaging through in vivo monitoring of whole-body tissue composition dynamics and non-invasive detection of fatty liver disease in mice, and identification of calcification and lipids in unfixed human atherosclerotic plaques. Moreover, our approach facilitates the visualization of nerves embedded in fatty tissue, a major advancement for surgical applications. With a simple wide-field setup orthogonal to fluorescence, SWIR Raman imaging holds promise for rapid adoption by clinicians and biologists. This technique opens new possibilities for contrast agent-free visualization of pathophysiology in whole animals and intraoperative imaging in humans. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=89 SRC="FIGDIR/small/597863v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@394289org.highwire.dtl.DTLVardef@13f3289org.highwire.dtl.DTLVardef@ee6f7org.highwire.dtl.DTLVardef@5d7399_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

Housing temperature dictates the systemic and tissue specific molecular responses to cancer in mice

Cancer cachexia is a metabolic condition affecting up to 80% of patients with cancer. Cachexia is mediated by reduced muscle and fat mass and impaired function, and it lowers survival for patients. With no approved drugs to treat cachexia, preclinical efforts focus on understanding the molecular mechanisms underlying this condition to reveal treatment targets. Housing laboratory mice at ambient temperature imposes cold stress, leading to induced thermogenic activity and consequent whole-body metabolic adaptations. Yet, the impact of housing temperature in in vivo preclinical cachexia remains unknown. We found that thermoneutral (TN) housing in C26 carcinoma-bearing (C26) mice affected lean and fat mass, but not muscle weight or force. TN housing improved glucose tolerance in C26 mice, while enhancing circulating abundance of FGF21 and IL-6. Thermogenic tissues, especially brown adipose tissue, exhibited housing temperature-dependent molecular responses to cancer in oxygen consumption, ATP levels and SERCA ATPase activity, which are all crucial for cancer-induced whole-body metabolic adaptations. We conclude that molecular and systemic adaptations to cancer in mice critically depend on housing temperature, which should be considered in the design and interpretation of preclinical cancer studies.

physiology↗

Chronic intermittent fasting impairs β-cell maturation and function in adolescent mice

Intermittent fasting (IF) is a nutritional lifestyle intervention with broad metabolic benefits, but whether the impact of IF depends on the individuals age is unclear. Here, we investigated the effects of IF on systemic metabolism and pancreatic islet function in old, middle-aged, and young mice. Short-term IF improved glucose homeostasis across all age groups, without altering islet function and morphology. In contrast, while chronic IF was beneficial for adult mice, it resulted in impaired {beta}-cell function in the young. Using scRNAseq, we delineated that the {beta}-cell maturation and function score were reduced in young mice. In human islets, a similar pattern was observed in Type 1 (T1D), but not in Type 2 diabetes (T2D), suggesting that the impact of chronic IF in adolescence is linked to the development of {beta}-cell dysfunction. Our study suggests considering the duration of IF in younger people, as it may enhance rather than reduce diabetes outcomes. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=164 SRC="FIGDIR/small/590140v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@1676dd1org.highwire.dtl.DTLVardef@15ac993org.highwire.dtl.DTLVardef@167f577org.highwire.dtl.DTLVardef@247e4e_HPS_FORMAT_FIGEXP M_FIG C_FIG O_LILong-term IF impairs {beta}-cell function in adolescent mice. C_LIO_LIIF-induced impaired {beta}-cell function is associated with impaired proliferative capacity and lower levels of mature cells. C_LIO_LIIF-induced impaired {beta}-cell function is associated with a transcriptional change highly conserved in type 1-, but not type 2 diabetes. C_LI

physiology↗

Virtual reality empowered deep learning analysis of brain activity

Tissue clearing and fluorescent microscopy are powerful tools for unbiased organ-scale protein expression studies. Critical for interpreting expression patterns of large imaged volumes are reliable quantification methods. Here, we present DELiVR a deep learning pipeline that uses virtual reality (VR)-generated training data to train deep neural networks, and quantify c-Fos as marker for neuronal activity in cleared mouse brains and map its expression at cellular resolution. VR annotation significantly accelerated the speed of generating training data compared to conventional 2D slice based annotation. DELiVR detects cells with much higher precision than current threshold-based pipelines, and provides an extensive toolbox for data visualization, inspection and comparison. We applied DELiVR to profile cancer-related mouse brain activity, and discovered a novel activation pattern that distinguishes between weight-stable cancer and cancer-associated weight loss. Thus, DELiVR provides a robust mouse brain analysis pipeline at cellular scale that can be used to study brain activity patterns in health and disease. The DELiVR software, Fiji plugin and documentation can be found at https://www.DISCOtechnologies.org/DELiVR/. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=169 SRC="FIGDIR/small/540970v1_ufig1.gif" ALT="Figure 1"> View larger version (66K): org.highwire.dtl.DTLVardef@172d5bforg.highwire.dtl.DTLVardef@2f1d80org.highwire.dtl.DTLVardef@139e7a0org.highwire.dtl.DTLVardef@95dce1_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIDELiVR detects labelled cells in cleared brains with deep learning C_LIO_LIDELiVR is trained by annotating ground-truth data in virtual reality (VR) C_LIO_LIDELiVR is launched via a FIJI plugin anywhere from PCs to clusters C_LIO_LIUsing DELiVR, we found new brain activity patterns in weight-stable vs. cachectic cancer C_LI Supplementary Videos can be seen at: https://www.DISCOtechnologies.org/DELiVR/

bioinformatics↗

Nfe2l1-mediated proteasome function controls muscle energy metabolism in obesity

Muscle function is an important denominator of energy metabolism and metabolic health. Adapting the myocyte proteome to energetic challenges, in response to diet or fasting, is facilitated by programs of proteostasis, but the adaptive role of the ubiquitin-proteasome system (UPS) in muscle remains unclear. Here, we show that myocyte Nuclear factor erythroid derived 2,-like 1 (Nfe2l1, also known as Nrf1) is a key regulator of skeletal muscle proteostasis and function. In mice and humans, Nfe2l1 is highly expressed in skeletal myocytes, and its loss diminishes proteasomal activity and leads to hyperubiquitylation. Mice lacking myocyte Nfe2l1 display muscle fiber type switching and insulin resistance when fed a high-fed diet. Nfe2l1 protects myocytes from ferroptosis, which is enhanced in the presence of excess lipids. In conclusion, we define a new adaptive role for the Nfe2l1-ubiquitin proteasome system in the control of skeletal muscle function and energy metabolism.

physiology↗