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Despite increased sophistication in DNA methylation (DNAm) measurement and methods, conducting studies in specific populations such as the hematopoietic stem cell transplant (HCT) population, presents unique challenges and study design considerations. In this article, we explain the motivation for investigating DNAm in the HCT population, highlighting important study design features and key findings in a longitudinal prospective pilot study of DNAm in 32 patients undergoing autologous HCT in Central Virginia, USA. We also discuss limitations and challenges to generating robust results. We observed that HCT does not prevent high-quality DNA from being extracted from whole blood for DNAm research and that longitudinal prospective studies that span pre- and 2-months post-HCT are feasible. Critically, we did not observe significant impacts of cancer diagnosis, time since transplant, age, or chromosomal sex on overall DNAm data dimensionality. These observations demonstrate that while extreme care is required to ensure generalizable, accurate, and interpretable results, researchers should not avoid HCT-DNAm research simply for fear that the transplant procedure or presence of a cancer diagnosis will prevent meaningful conclusions from being drawn. DNAm is an attractive biomarker that is understudied in patients undergoing HCT and needs to expand to improve precise prediction of HCT outcomes.

Background Blood cancers may be potentially cured with hematopoietic stem cell transplantation (HCT); however, standard pre-assessments for transplant eligibility do not capture all contributing factors for transplant outcomes. Epigenetic biomarkers predict outcomes in various diseases. This pilot study aims to explore epigenetic changes (epigenetic age and differentially methylated genes) in patients before and after autologous HCT, that can serve as potential biomarkers to better predict HCT outcomes. Methods This study used a prospective longitudinal study design to compare genome wide DNA methylation changes in 36 autologous HCT eligible patients recruited from the Cellular Immunotherapies and Transplant clinic at a designated National Cancer Center. Results Genome-wide DNA methylation, measured by the Illumina Infinium Human Methylation 850K BeadChip, showed a significant difference in DNA methylation patterns post-HCT compared to pre-HCT. Compared to baseline levels of DNA methylation pre-HCT, 3358 CpG sites were hypo-methylated and 3687 were hyper-methylated. Identified differentially methylated positions overlapped with genes involved in hematopoiesis, blood cancers, inflammation and immune responses. Enrichment analyses showed significant alterations in biological processes such as immune response and cell structure organization, however no significant pathways were noted. Though participants had an advanced epigenetic age compared to chronologic age before and after HCT, both epigenetic age and accelerated age decreased post-HCT. Conclusion Epigenetic changes, both in epigenetic age and differentially methylated genes were observed in autologous HCT recipients, and should be explored as biomarkers to predict transplant outcomes after autologous HCT in larger, longitudinal studies.

Fibromyalgia (FM) is a chronic noncommunicable disorder characterized by a constellation of symptoms that include fatigue, depression and chronic pain. FM affects 2%–8% of the U.S. population, 2% of the global population, with 61%–90% of FM diagnoses attributed to women. Key causal factors leading to the development and severity of FM-related symptoms have not yet been identified. The purpose of this article is to report relationships among identified metabolites and levels of fatigue, depression, pain severity, and pain interference in a sample of 20 women with FM. In this secondary analysis, we conducted global metabolomic analysis and examined the data for relationships of metabolite levels with self-reported symptoms of fatigue, depression, pain severity, and pain interference. Results revealed six metabolites (6-deoxy-hexose; pantothenic acid; ergothioneine; l-carnitine; n-acetylserotonin; butyrobetaine) and their associated metabolic pathways such as carnitine synthesis, lipid oxidation, tryptophan metabolism, beta-alanine metabolism and pantothenic and Coenzyme-A biosynthesis that were either positively or inversely related to pain severity, pain interference, or both. The preliminary data presented suggest that metabolites representing energy, amino acid, or lipid classification may be associated with pain symptom severity and interference in women with FM. Future work will confirm these findings in a large, comparative cohort, targeting metabolites and metabolite pathways to better understand the relationships of metabolites and symptomology.

Purpose: In recent years, researchers have noted an “obesity paradox,” where individuals with obesity survive sepsis at higher rates than their nonobese counterparts. This systematic review summarizes the literature on studies examining the association between obesity and 1-year mortality among patients admitted with sepsis, severe sepsis, or septic shock. Materials and Methods: Using a comprehensive search strategy, a systematic review was conducted to identify studies examining the association of obesity and sepsis mortality. PubMed, Cumulative Index of Nursing and Allied Health Literature, and Elton B. Stephens Company host databases were searched for the terms sepsis, obesity, mortality, and adult. Results: The initial search identified 189 studies, 9 of which met inclusion criteria. Of these, four provided evidence that obese or very obese patients with sepsis have lower mortality than nonobese patients. Methodologic differences in the remaining five studies, which reported conflicting results, limit generalizability. Conclusion: This systematic review on the association of obesity and sepsis mortality found three studies that demonstrated lower sepsis mortality among obese patients in the first 30 days and one showing that this protective effect extends up to 1 year. Given the increased number of patients surviving sepsis, it is important to consider long-term mortality and further describe the variables associated with increased survival.

Sepsis is a life-threatening syndrome that occurs in response to a severe infection. In recent years, the understanding of the pathobiology of sepsis has been refined, with research describing an altered host response as the underlying cause. Survivors of sepsis often have long hospital stays and suffer from subsequent frailty and long-term health consequences. Predicting attributes of sepsis survivors remains challenging; however, an obesity paradox exists, wherein obese individuals survive sepsis at higher rates than their normal-weight counterparts. We present a model that describes the relationships between sepsis and obesity, focusing on inflammation as a shared pathway for dysregulation in obese and healthy-weight adults. Understanding the interaction of these complex variables is an important first step toward developing interventions and treatments to augment sepsis survival.