The dismally low survival rate of ovarian cancer patients diagnosed with high-grade serous carcinoma (HGSC) emphasizes the lack of effective screening strategies. One major obstacle is the limited knowledge of the underlying mechanisms of HGSC pathogenesis at very early stages. Here, we present the first 10-month time-resolved serum metabolic profile of a triple mutant (TKO) HGSC mouse model, along with the spatial lipidome profile of its entire reproductive system. A high-coverage liquid chromatography mass spectrometry-based metabolomics approach was applied to longitudinally collected serum samples from both TKO (n = 15) and TKO control mice (n = 15), tracking metabolome and lipidome changes from premalignant stages to tumor initiation, early stages, and advanced stages until mouse death. Time-resolved analysis showed specific temporal trends for 17 lipid classes, amino acids, and TCA cycle metabolites, associated with HGSC progression. Spatial lipid distributions within the reproductive system were also mapped via ultrahigh-resolution matrix-assisted laser desorption/ionization (MALDI) mass spectrometry and compared with serum lipid profiles for various lipid classes. Altogether, our results show that the remodeling of lipid and fatty acid metabolism, amino acid biosynthesis, TCA cycle and ovarian steroidogenesis are critical components of HGSC onset and development. These metabolic alterations are accompanied by changes in energy metabolism, mitochondrial and peroxisomal function, redox homeostasis, and inflammatory response, collectively supporting tumorigenesis.

Traumatic brain injury (TBI) poses a major health challenge, with tens of millions of new cases reported globally every year. Brain damage resulting from TBI can vary significantly due to factors including injury severity, injury mechanism and exposure to repeated injury events. Therefore, there is need for robust blood biomarkers. Serum from Sprague Dawley rats was collected at several timepoints within 24 h of mild single or repeat closed head impacts. Serum samples were analyzed via ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS) in positive and negative ion modes. Known lipid species were identified through matching to in-house tandem MS databases. Lipid biomarkers have a unique potential to serve as objective molecular measures of injury response as they may be liberated to circulation more readily than larger protein markers. Machine learning and feature selection approaches were used to construct lipid panels capable of distinguishing serum from injured and uninjured rats. The best multivariate lipid panels had over 90% cross-validated sensitivity, selectivity, and accuracy. These mapped onto sphingolipid signaling, autophagy, necroptosis and glycerophospholipid metabolism pathways, with Benjamini adjusted p-values less than 0.05. The novel lipid biomarker candidates identified provide insight into the metabolic pathways altered within 24 h of mild TBI.

Dysfunctions in epigenetic regulation play critical roles in tumor development and progression. Histone deacetylases (HDACs) and histone acetyl transferase (HAT) are functionally opposing epigenetic regulators, which control the expression status of tumor suppressor genes. Upregulation of HDAC activities, which results in silencing of tumor suppressor genes and uncontrolled proliferation, predominates in malignant tumors. Inhibition of the deacetylase activity of HDACs is a clinically validated cancer therapy strategy. However, current HDAC inhibitors (HDACi) have elicited limited therapeutic benefit against solid tumors. Here, we disclosed a class of HDACi that are selective for sub-class I HDACs and preferentially accumulate within the normal liver tissue and orthotopically implanted liver tumors. We observed that these compounds possess exquisite on-target effects evidenced by their induction of dose-dependent histone H4 hyperacetylation without perturbation of tubulin acetylation status and G0/G1 cell cycle arrest. Representative compounds 2 and 3a are relatively non-toxic to mice and robustly suppressed tumor growths in an orthotopic model of HCC as standalone agents. Collectively, our results suggest that these compounds may have therapeutic advantage against HCC relative to the current systemic HDACi. This prospect merits further comprehensive preclinical investigations.

Traumatic brain injury (TBI) is a significant source of disability in the United States and around the world and may lead to long-lasting cognitive deficits and a decreased quality of life for patients across injury severities. Following the primary injury phase, TBI is characterized by complex secondary cascades that involve altered homeostasis and metabolism, faulty signaling, neuroinflammation, and lipid dysfunction. The objectives of the present study were to (1) assess potential correlations between lipidome and cytokine changes after closed-head mild TBI (mTBI), and (2) examine the reproducibility of our acute lipidomic profiles following TBI. Cortices from 54 Sprague Dawley male and female rats were analyzed by ultra-high-performance liquid chromatography mass spectrometry (LC-MS) in both positive and negative ionization modes and multiplex cytokine analysis after single (smTBI) or repetitive (rmTBI) closed-head impacts, or sham conditions. Tissue age was a variable, given that two cohorts (n = 26 and n = 28) were initially run a year-and-a-half apart, creating inter-batch variations. We annotated the lipidome datasets using an in-house data dictionary based on exact masses of precursor and fragment ions and removed features with statistically significant differences between sham control batches. Our results indicate that lipids with high-fold change between injury groups moderately correlate with the cytokines eotaxin, IP-10, and TNF-α. Additionally, we show a significant decrease in the pro-inflammatory markers IL-1β and IP-10, TNF-α, and RANTES in the rmTBI samples relative to the sham control. We discuss the major challenges in correlating high dimensional lipidomic data with functional cytokine profiles and the implications for understanding the biological significance of two related but disparate analysis modes in the study of TBI, an inherently heterogeneous neurological disorder.

In 2018, a mass drug administration (MDA) campaign for malaria elimination was piloted in Haiti. The pilot treated 36,338 people with sulfadoxine-pyrimethamine (SP) and primaquine; no severe adverse events were detected. In 2020, another MDA campaign using the same medications was implemented to mitigate an upsurge in malaria cases during the COVID-19 pandemic. Four cases of Stevens–Johnson syndrome (SJS) were identified among the 42,249 people who took the medications. Three of these individuals required hospitalization; all survived. In addition to SP ingestion, an investigation of potential causes for increased SJS cases identified that all four cases had human leukocyte antigens A*29 and/or B*44:03, another known risk factor for SJS. Additionally, three of the four case individuals had antibodies to SARS-CoV-2, and the fourth may have been exposed around the same time. These findings raise the possibility that recent SARS-CoV-2 infection may have contributed to the increased risk for SJS associated with SP exposure during the 2020 campaign.

Ovarian cancer (OC) is the deadliest gynecological disease in women, with high-grade serous ovarian cancer (HGSC) being its most common and lethal subtype. This disease accounts for 75% of OC cases and has a five-year survival rate of only 32%, mainly due to diagnoses at an advanced stage. Inheriting a pathogenic BRCA1 or 2 mutation significantly increases the risk of developing HGSC. However, the early molecular processes that lead to this deadly subtype remain poorly understood. The ovarian hormone progesterone (P4) has been shown to induce metastatic HGSC in Dicer1-Pten double-knockout (DKO) mice, an animal model that develops this specific type of OC with molecular, histological, and clinical features similar to those of BRCA1/2 mutation carriers. To explore P4-induced metabolic changes before and after the onset of HGSC, we analyzed serum samples from DKO mice treated with P4 or mifepristone, an inhibitor of P4 signaling, at premalignant and early tumor stages. These samples underwent both targeted and non-targeted metabolomic analysis using ultra-high performance liquid chromatography-mass spectrometry. The non-targeted data revealed significant trends among various phospholipid classes, phosphatidylcholines, sphingomyelins, and triacylglycerols, in early-stage HGSC. Additionally, two metabolites previously linked to OC, lysophosphatidylethanolamine (18:1) and tetrahydrocortisone, were significantly elevated at the premalignant stage of HGSC development. Conversely, at this same stage, the targeted dataset showed notable increases in estrogens and glucocorticoids, while higher corticosterone levels were detected as HGSC began to develop. Overall, this study highlights the disruption of specific metabolites, phospholipid classes, and steroid hormones, in relation to HGSC tumor development under P4 treatment, suggesting their potential roles in OC development.