Faculty Bibliography

BACKGROUND:Radiation therapy (XRT) induced dermal injury disrupts type I collagen architecture. This impairs cutaneous viscoelasticity, which may contribute to the high rate of complications in expander-based breast reconstruction with adjuvant XRT. The objective of this study was to further elucidate the mechanism of radiation-induced dermal injury and to determine if amifostine (AMF) or deferoxamine (DFO) mitigates type I collagen injury in an irradiated murine model of expander-based breast reconstruction. METHODS:Female Lewis rats (n = 20) were grouped: expander (control), expander-XRT (XRT), expander-XRT-AMF (AMF), and expander-XRT-DFO (DFO). Expanders were surgically placed. All XRT groups received 28 Gy of XRT. The AMF group received AMF 30 minutes before XRT, and the DFO group used a patch for delivery 5 days post-XRT. After a 20-day recovery period, skin was harvested. Atomic force microscopy and Raman spectroscopy were performed to evaluate type I collagen sheet organization and tissue compositional properties, respectively. RESULTS:Type I collagen fibril disorganization was significantly increased in the XRT group compared with the control (83.8% vs 22.4%; P = 0.001). Collagen/matrix ratios were greatly reduced in the XRT group compared with the control group (0.49 ± 0.09 vs 0.66 ± 0.09; P = 0.017). Prophylactic AMF demonstrated a marked reduction in type I collagen fibril disorganization on atomic force microscopy (15.9% vs 83.8%; P = 0.001). In fact, AMF normalized type I collagen organization in irradiated tissues to the level of the nonirradiated control (P = 0.122). Based on Raman spectroscopy, both AMF and DFO demonstrated significant differential protective effects on expanded-irradiated tissues. Collagen/matrix ratios were significantly preserved in the AMF group compared with the XRT group (0.49 ± 0.09 vs 0.69 ± 0.10; P = 0.010). β-Sheet/α-helix ratios were significantly increased in the DFO group compared with the XRT group (1.76 ± 0.03 vs 1.86 ± 0.06; P = 0.038). CONCLUSIONS:Amifostine resulted in a significant improvement in type I collagen fibril organization and collagen synthesis, whereas DFO mitigated abnormal changes in collagen secondary structure in an irradiated murine model of expander-based breast reconstruction. These therapeutics offer the ability to retain the native microarchitecture of type I collagen after radiation. Amifostine and DFO may offer clinical utility to reduce radiation induced dermal injury, potentially decreasing the high complication rate of expander-based breast reconstruction with adjuvant XRT and improving surgical outcomes.

Aging leads to a number of disorders caused by cellular senescence, tissue damage, and organ dysfunction. It has been reported that anti-inflammatory and insulin-sensitizing compounds delay, or reverse, the aging process and prevent metabolic disorders, neurodegenerative disease, and muscle atrophy, improving healthspan and extending lifespan. Here we investigated the effects of PPARγ agonists in preventing aging and increasing longevity, given their known properties in lowering inflammation and decreasing glycemia. Our molecular and physiological studies show that long-term treatment of mice at 14 months of age with low doses of the PPARγ ligand rosiglitazone (Rosi) improved glucose metabolism and mitochondrial functionality. These effects were associated with decreased inflammation and reduced tissue atrophy, improved cognitive function, and diminished anxiety- and depression-like conditions, without any adverse effects on cardiac and skeletal functionality. Furthermore, Rosi treatment of mice started when they were 14 months old was associated with lifespan extension. A retrospective analysis of the effects of the PPARγ agonist pioglitazone (Pio) on longevity showed decreased mortality in patients receiving Pio compared to those receiving a PPARγ-independent insulin secretagogue glimepiride. Taken together, these data suggest the possibility of using PPARγ agonists to promote healthy aging and extend lifespan.

BACKGROUND: Modeling suggests that climate change mitigation actions can have substantial human health benefits that accrue quickly and locally. Documenting the benefits can help drive more ambitious and health-protective climate change mitigation actions; however, documenting the adverse health effects can help to avoid them. Estimating the health effects of mitigation (HEM) actions can help policy makers prioritize investments based not only on mitigation potential but also on expected health benefits. To date, however, the wide range of incompatible approaches taken to developing and reporting HEM estimates has limited their comparability and usefulness to policymakers.
OBJECTIVE(S): The objective of this effort was to generate guidance for modeling studies on scoping, estimating, and reporting population health effects from climate change mitigation actions.
METHOD(S): An expert panel of HEM researchers was recruited to participate in developing guidance for conducting HEM studies. The primary literature and a synthesis of HEM studies were provided to the panel. Panel members then participated in a modified Delphi exercise to identify areas of consensus regarding HEM estimation. Finally, the panel met to review and discuss consensus findings, resolve remaining differences, and generate guidance regarding conducting HEM studies.
RESULT(S): The panel generated a checklist of recommendations regarding stakeholder engagement: HEM modeling, including model structure, scope and scale, demographics, time horizons, counterfactuals, health response functions, and metrics; parameterization and reporting; approaches to uncertainty and sensitivity analysis; accounting for policy uptake; and discounting. DISCUSSION: This checklist provides guidance for conducting and reporting HEM estimates to make them more comparable and useful for policymakers. Harmonization of HEM estimates has the potential to lead to advances in and improved synthesis of policy-relevant research that can inform evidence-based decision making and practice. https://urldefense.proofpoint.com/v2/url?u=https-3A__doi.org_10.1289_EHP6745&d=DwIBAg&c=j5oPpO0eBH1iio48DtsedeElZfc04rx3ExJHeIIZuCs&r=CY_mkeBghQnUPnp2mckgsNSbUXISJaiBQUhM-Uz9W58&m=TyoCBAKzCpBZ4-uIICybN67eGKr9ePdBC-WexDhSuSM&s=kbJNEKvonPZ_U5Fg0iIhLmyB5CB-fH6dvKuB5m4mioI&e= .
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Animal embryogenesis requires a precise coordination between morphogenesis and cell fate specification. During mesoderm induction, mesodermal fate acquisition is tightly coordinated with the morphogenetic process of epithelial-to-mesenchymal transition (EMT). In zebrafish, cells exist transiently in a partial EMT state during mesoderm induction. Here, we show that cells expressing the transcription factor Sox2 are held in the partial EMT state, stopping them from completing the EMT and joining the mesoderm. This is critical for preventing the formation of ectopic neural tissue. The mechanism involves synergy between Sox2 and the mesoderm-inducing canonical Wnt signaling pathway. When Wnt signaling is inhibited in Sox2-expressing cells trapped in the partial EMT, cells exit into the mesodermal territory but form an ectopic spinal cord instead of mesoderm. Our work identifies a critical developmental checkpoint that ensures that morphogenetic movements establishing the mesodermal germ layer are accompanied by robust mesodermal cell fate acquisition.

Pondering on pandemics and the promise of purification from the plethora of problems that it has spawned, the paper builds on a game-theoretic model of host-pathogen interaction, and... moves beyond. It highlights how quickly this 'wicked' problem has led to deceptive Nash equilibria of certain information-asymmetric games as well as their sequels of more complex intertwined games at human scale but without an exit strategy in sight. In the absence of clarity (e.g., access to complete information) and yet facing a capricious and complex conspirator, we overview an exemplary solution, created by RxCovea, and examine how it might help.

The thymus is a primary lymphoid organ necessary for optimal T cell development. Here, we show that liver X receptors (LXRs)-a class of nuclear receptors and transcription factors with diverse functions in metabolism and immunity-critically contribute to thymic integrity and function. LXRαβ-deficient mice develop a fatty, rapidly involuting thymus and acquire a shrunken and prematurely immunoinhibitory peripheral T cell repertoire. LXRαβ's functions are cell specific, and the resulting phenotypes are mutually independent. Although thymic macrophages require LXRαβ for cholesterol efflux, thymic epithelial cells (TECs) use LXRαβ for self-renewal and thymocytes for negative selection. Consequently, TEC-derived LXRαβ protects against homeostatic premature involution and orchestrates thymic regeneration following stress, while thymocyte-derived LXRαβ limits cell disposal during negative selection and confers heightened sensitivity to experimental autoimmune encephalomyelitis. These results identify three distinct but complementary mechanisms by which LXRαβ governs T lymphocyte education and illuminate LXRαβ's indispensable roles in adaptive immunity.

Animal development entails the organization of specific cell types in space and time, and spatial patterns must form in a robust manner. In the zebrafish spinal cord, neural progenitors form stereotypic patterns despite noisy morphogen signaling and large-scale cellular rearrangements during morphogenesis and growth. By directly measuring adhesion forces and preferences for three types of endogenous neural progenitors, we provide evidence for the differential adhesion model in which differences in intercellular adhesion mediate cell sorting. Cell type-specific combinatorial expression of different classes of cadherins (N-cadherin, cadherin 11, and protocadherin 19) results in homotypic preference ex vivo and patterning robustness in vivo. Furthermore, the differential adhesion code is regulated by the sonic hedgehog morphogen gradient. We propose that robust patterning during tissue morphogenesis results from interplay between adhesion-based self-organization and morphogen-directed patterning.

Cancer genomes often harbor hundreds of somatic DNA rearrangement junctions, many of which cannot be easily classified into simple (e.g., deletion) or complex (e.g., chromothripsis) structural variant classes. Applying a novel genome graph computational paradigm to analyze the topology of junction copy number (JCN) across 2,778 tumor whole-genome sequences, we uncovered three novel complex rearrangement phenomena: pyrgo, rigma, and tyfonas. Pyrgo are "towers" of low-JCN duplications associated with early-replicating regions, superenhancers, and breast or ovarian cancers. Rigma comprise "chasms" of low-JCN deletions enriched in late-replicating fragile sites and gastrointestinal carcinomas. Tyfonas are "typhoons" of high-JCN junctions and fold-back inversions associated with expressed protein-coding fusions, breakend hypermutation, and acral, but not cutaneous, melanomas. Clustering of tumors according to genome graph-derived features identified subgroups associated with DNA repair defects and poor prognosis.