School of Medicine

The Salton Sea is a drying salt lake in an arid region with high aerosol particulate-matter concentrations. This region is plagued by a high incidence of asthma, attributed in part to the aerosols surrounding the Sea. But the connection between the Sea and asthma may be more than simple calculations of dust concentrations. While dusts might contain toxic substances that impact the lungs of residents, the complex dynamics related to the environmental degradation of the Salton Sea may be generating additional toxins relevant to public health, such as microcystins produced by algal blooms. This collection of pollutants may be driving inflammatory responses in the lungs of residents through multiple mechanisms. As such, examination of the full range of potential environmental triggers of lung inflammation promises to yield a better understanding of key mechanisms driving the high incidence of asthma in local residents. Our discussion provides a perspective aiming to re-frame the issue in the context of the historical theory of “miasma” and the linkages between environmental change and health impacts.

Neural crest (NC) cells are multipotent cells unique to vertebrates that arise early in development, at the edge of the neural plate, and subsequently undergo an epithelial to mesenchymal transition, migrate throughout the body, and differentiate into many different derivatives, contributing to the formation of many organs and systems. NC induction research from multiple modeling organisms has identified critical roles for a few signaling pathways, including Wnt, BMP, FGF, Notch/ Delta, Indian Hedgehog, and Endothelin signaling (Prasad et al., 2019). Given the limitations of human embryo studies, pluripotent stem cell models of human NC formation have provided a resourceful alternative (Lee et al., 2007). Intriguingly, while TGFβ inhibition had not been identified as a signaling requirement for NC formation in any in vivo model organism, several pluripotent stem cell (PSC) models of human NC induction rely on TGFβ inhibition (Chambers et al., 2009). To address this issue, we evaluate the role of TGFβ in NC formation using our human (hNC) model that depends on WNT signaling and does not require TGFβ inhibition (Leung et al., 2016, Gomez et al., 2019). We report that under our model, TGFβ signaling is required, and that moderate levels of TGFβ and pSMAD2 levels are necessary for optimal NC formation (with negative effects seen upon strong activation or inhibition). Moreover, we demonstrate that PSC cultured in mTeSR1 immediately prior to hNC induction instead required TGFβ modulation in addition to WNT signaling activation to render hNC. Using the chick embryo as an in vivo vertebrate model, we further provide evidence of expression and requirement of relevant TGFβ signaling components during NC formation. This study identifies an important role for TGFβ signaling in early NC development, opening the door for novel players as effectors mediating the multiple signals integrated during early neural crest development.

A critical component of evaluating whether a chemical can cause human neurotoxicity is hazard identification, which typically involves a comprehensive literature search to identify and synthesize epidemiological, animal, and mechanistic data for the chemical of interest. The key characteristics (KCs) concept has proven to be a useful tool for searching, organizing, and evaluating mechanistic data for hazard identification. KCs are the established chemical and biological properties of known human neurotoxic agents based on understanding of their mechanisms of neurotoxicity. KCs were originally developed for carcinogens but have now also been published for endocrine- and metabolism-disruptors and various organ-selective toxic chemicals. To identify KCs associated with neurotoxic chemicals, an expert committee was convened to consider current mechanistic understanding of chemicals known to be neurotoxic in humans with the goal of identifying established molecular and cellular actions of neurotoxic chemicals. After extensive discussion, the committee reached consensus on 10 KCs. Here, we describe the 10 proposed KCs and provide chemical-related examples to support their inclusion. Several important considerations emerged from the committee's deliberations including: (1) a mechanistic action need not be unique to neurotoxicity to be considered a KC of neurotoxic chemicals; (2) many, if not most, neurotoxic chemicals exhibit multiple KCs, and the relative importance of any specific KC and/or its causal relationship to other KCs may vary depending on life stage at the time of exposure and/or the exposure paradigm; and (3) data indicating a chemical exhibits one or more KCs of neurotoxic chemicals suggests that the chemical poses a neurotoxic hazard but does not necessarily identify the risk that the chemical presents to humans. These considerations, as well as potential applications of KCs in neurotoxicology, are discussed. The committee also strongly recommended that the list of proposed KCs of neurotoxic chemicals be viewed as a "living document" that is reviewed and revised in response to emerging insights on mechanisms of neurotoxicity, as well as lessons learned from the application of these proposed KCs, including but not limited to their use as a tool for the systemic identification and review of mechanistic data for assessment of neurotoxic hazards.

BACKGROUND: Crimean-Congo hemorrhagic fever virus (CCHFV), a zoonotic agent in the Nairoviridae family (genus Orthonairovirus), is a high-priority pathogen. CCHFV infection causes Crimean-Congo hemorrhagic fever (CCHF), a human disease with case fatality rates of up to 40%. Serological surveillance of CCHFV in animals and humans is crucial for ecological studies and public health. METHODS: We developed CCHFV mix-and-read assays utilizing split-NanoLuc technology (NanoBiT) to detect anti-CCHFV antibodies against the nucleoprotein (NP) stalk region and the GP38 glycoprotein. These species- and isotype-agnostic assays provide results in ∼30 min. Using serum samples from RT-PCR-confirmed CCHF cases collected during and after hospitalization, we investigated anti-NP and anti-GP38 antibody development. The performance of the mix-and-read assays was compared to the NP-based IDScreen® CCHF commercial assay using human sera, and cross-reactivity potential was evaluated using a diverse panel of anti-orthonairovirus antisera raised in mice. FINDINGS: In human convalescent cases (n = 21), mix-and-read assay concordance between anti-GP38 and anti-NP antibody detection was 100%. Both mix-and-read assays and IDScreen® CCHF demonstrated identical sensitivity of 95.2% in convalescent patients. The specificity of the NP assay was 98.9%, and that of GP38 was 99.7%, both comparable to IDScreen® CCHF (specificity: 99.7%). Cross-reactivity against CCHF NP and GP38, regardless of assay type, was primarily observed in antisera raised against other orthonairoviruses within the Nairobi sheep disease genogroup. INTERPRETATION: The simplicity and robust performance of the CCHFV mix-and-read assays make them ideal tools for supporting serological surveillance in humans and animals. Furthermore, the inclusion of the GP38 antigen alongside NP enhances the precise identification of retrospective CCHF cases, further strengthening broad surveillance efforts. FUNDING: CDC Emerging Infectious Disease Research Core Funds, funding for reagent, CDC personal, travel. Defence Threat Reduction Agency (HDTRA12210007): E.K. salary. Oak Ridge Institute for Science and Education (ORISE): E.K. salary and travel. National Institute of Allergy and Infectious Diseases (1R01AI180125-01A1): sample acquisition. Funding sources did not have a role in the writing or decision to submit the publication.

The increase in the incidence of obesity has coincided with changes in lifestyle, diet, and environment. Comorbidities associated with obesity include cardiovascular disease, diabetes, musculoskeletal disorders, stroke, and thromboembolism, affecting public health. The effect of increased weight has recently become even more obvious, since obesity has been significantly associated with increased severity and higher mortality among COVID-19 patients. The need to decrease rates of obesity prompted a surge in the use of glucagon-like peptide-1 agonist medications. Twin studies, however, determined that increased weight has a large genetic component, estimating the heritability of obesity to be 45% to 70%. Surprisingly, obesity due to known single gene mutation comprises only 5% to 10% of individuals, who mostly exhibit early-onset severe obesity. Genome-wide linkage studies and association studies identified more than 250 genes associated with obesity, but each of these has a relatively small effect size. Further, several genetic syndromes, associated with neurodevelopmental disabilities and congenital malformations, encompass obesity in their constellation of symptoms. This review will summarize several known genetic causes of obesity, focusing specifically on how they relate to the brain circuitry that regulates food intake and energy homeostasis. The review will indicate a need for further studies to integrate the role of diet and environmental contribution with genetic components of this multifactorial condition. Given that genetics of obesity is unlikely to explain the recent dramatic temporal increase in the prevalence of obesity, our review will point to the need to understand interactions between genes and other contributing environmental or sex-dependent factors.

Advances in small RNA sequencing have revealed diverse small noncoding RNAs (sncRNAs) beyond microRNAs (miRNAs), derived from transfer RNAs (tRNAs), ribosomal RNAs (rRNAs), small nuclear RNAs (snRNAs), and Y RNAs, carrying distinct RNA modifications. These emerging sncRNAs can function beyond RNA interference (RNAi), adopting aptamer-like roles by interacting with Toll-like receptors 7 and 8 (TLR7 and TLR8) via specific sequences, modifications, and structures. We propose a Sequential Activation Hypothesis where initial abnormal sncRNAs - triggered by infections or stresses - activate TLR7/8, leading to autoantibody production against autoantigens like RNA-binding proteins La and Ro. These autoantibody-antigen complexes further promote secondary immunogenic sncRNA production and repetitive TLR7/8 activation, perpetuating a vicious cycle sustaining autoimmunity. TLR7/8's X chromosome location and sex-biased expression contribute to female-dominant autoimmune diseases. Understanding sncRNA-TLR interactions is essential for designing novel therapeutic strategies.

Alternative pre-mRNA splicing (AS) is a fundamental regulatory process that generates transcript diversity and cell type variation. We developed Shiba, a comprehensive method that integrates transcript assembly, splicing event identification, read counting, and differential splicing analysis across RNA-seq platforms. Shiba excels in capturing annotated and unannotated AS events with superior accuracy, sensitivity, and reproducibility. It addresses the often-overlooked issue of junction read imbalance, significantly reducing false positives to aid target prioritization and downstream analyses. Unlike other tools that require large numbers of biological replicates or resulting in low sensitivity and high false positives, Shiba's statistics framework is agnostic to sample size, as demonstrated by simulated data and its effective application to real n= 1 RNA-seq datasets. To extend its utility to single-cell RNA-seq, we developed scShiba, which applies Shiba's pseudobulk approach to analyze splicing at the cluster level. scShiba successfully revealed AS regulation in developmental dopaminergic neurons and differences between excitatory and inhibitory neurons. Both Shiba and scShiba are available in Docker/Singularity containers and Snakemake pipelines, ensuring reproducibility. With their comprehensive capabilities, Shiba and scShiba enable systematic quantification of alternative splicing events across various platforms, laying a solid foundation for mechanistic exploration of the functional complexity in RNA splicing.

Conventionally, the size, shape, and biomechanics of cartilages are determined by their voluminous extracellular matrix. By contrast, we found that multiple murine cartilages consist of lipid-filled cells called lipochondrocytes. Despite resembling adipocytes, lipochondrocytes were molecularly distinct and produced lipids exclusively through de novo lipogenesis. Consequently, lipochondrocytes grew uniform lipid droplets that resisted systemic lipid surges and did not enlarge upon obesity. Lipochondrocytes also lacked lipid mobilization factors, which enabled exceptional vacuole stability and protected cartilage from shrinking upon starvation. Lipid droplets modulated lipocartilage biomechanics by decreasing the tissue's stiffness, strength, and resilience. Lipochondrocytes were found in multiple mammals, including humans, but not in nonmammalian tetrapods. Thus, analogous to bubble wrap, superstable lipid vacuoles confer skeletal tissue with cartilage-like properties without "packing foam-like" extracellular matrix.

Astrocyte-to-neuron reprogramming via depletion of PTBP1, a potent repressor of neuronal splicing, has been proposed as a therapeutic strategy, but its efficacy remains debated. While some reported successful conversion, others disputed this, citing a lack of neuronal gene expression as evidence of failed reprogramming. This interpretation was further challenged, attributed to incomplete PTBP1 inactivation, fueling ongoing controversy. Mechanistic understanding of the conversion, or the lack thereof, requires investigating, in conjunction with lineage tracing, the effect of Ptbp1 loss of function in mature astrocytes on RNA splicing, which has not yet been examined. Here, we genetically ablated PTBP1 in adult Aldh1l1-Cre/ERT2 Ai14 mice to determine whether lineage-traced Ptbp1 knockout astrocytes exhibited RNA splicing alterations congruent with neuronal differentiation. We found no widespread induction of neurons, despite a minuscule fraction of knockout cells showing neuron-like transcriptomic signatures. Importantly, PTBP1 loss in mature astrocytes induced splicing alterations unlike neuronal splicing patterns. These findings suggest that targeting PTBP1 alone is ineffective to drive neuronal reprogramming and highlight the need for combining splicing and lineage analyses. Loss of astrocytic PTBP1 is insufficient to induce neuronal splicing, contrasting with its well-known role in other non-neuronal cells, and instead affects a distinct astrocytic splicing program.