Evaluation of reference genes for qRT-PCR studies in the colchicine producing Gloriosa superba L.

The flame lily, Gloriosa superba L., is one of the two primary sources of the anti-inflammatory drug, colchicine. Previous studies have shown that a higher level of colchicine production occurs in the rhizomes than in leaves and roots. Earlier precursor feeding and transcriptome analysis of G. superba have provided a putative pathway and candidate genes involved in colchicine biosynthesis. Comparative analysis of expression levels of candidate pathway genes in different tissues of G. superba using quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR) can reveal highly expressed genes in the rhizome compared to other tissues which could suggest roles of the gene products in colchicine biosynthesis. Normalization is an important step in effectively analyzing differential gene expression by qRT-PCR with broader applications. The current study selected candidate reference genes from the transcriptome datasets and analyzed them to determine the most stable genes for normalization of colchicine biosynthesis-related genes. Using RefFinder, one stable reference gene, UBC22, was selected to normalize gene expression levels of candidate methyltransferase (MT) genes in the leaves, roots, and rhizomes of G. superba. With UBC22 as reference gene, the methyltransferases, GsOMT1, GsOMT3, and GsOMT4 showed significantly higher expression levels in the rhizome of G. superba, while MT31794 was more highly expressed in the roots. In conclusion, the current results showed a viable reference gene expression analysis system that could help elucidate colchicine biosynthesis and its exploitation for increased production of the drug in G. superba. Supplementary Information: The online version contains supplementary material available at 10.1007/s11816-023-00840-x.

Actigraphic correlates of neuropsychiatric symptoms in adults with focal epilepsy.

OBJECTIVES: Disability in patients with epilepsy (PWEs) is multifactorial: beyond seizure frequency/severity, PWEs are prone to a range of neuropsychiatric, cognitive, and somatic comorbidities that significantly affect quality of life. Here, we explored how variations in seizure severity and the burden of self-reported somatic/neuropsychiatric symptoms correlate with disruptions to 24 h activity patterns (rest-activity rhythms [RARs]), determined through wrist accelerometry/actigraphy. METHODS: Multiday wrist-actigraphy recordings were obtained from 59 adult patients with focal epilepsy (44% male, ages 18-72), who contemporaneously responded to validated psychometric instruments to measure anxiety, depression, sleepiness, and somatic symptoms. We conducted a similar in silico psychometric-actigraphic correlation in a publicly available data set of 1747 Hispanic subjects (35% male, ages 18-65) from the Study of Latinos (SOL) Sueño Ancillary Study. RARs were analyzed via a sigmoidally-transformed cosine model (quantifying amplitude, steepness, acrophase, and robustness) and nonparametric measures to estimate RAR stability, fragmentation, and sleep. RESULTS: Compared with matched SOL subjects, RARs from PWE subjects featured a significantly lower amplitude, a wider rest phase, and significantly more total daily sleep. Within PWEs, similar RAR distortions were associated with seizure intractability and/or anticonvulsant polytherapy, whereas high anxiety, depression, and somatic symptom scores were associated with lower RAR robustness and acrophase delay. We applied the SOL data set to train logistic regression models to dichotomously classify subjective anxiety, depression, and sleepiness symptoms using demographic and RAR parameters. When tested on PWEs, these models predicted prevalent anxiety and depression symptom burden (accuracy ~70%) but failed to predict subjective sleepiness. SIGNIFICANCE: Together these results demonstrate that RAR features may encode prevalent depression and anxiety symptoms in patients with focal epilepsy, potentially offering wearable-derived endpoints to adjunct clinical care and drug/device trials. With larger PWE-specific actigraphic-psychometric data sets, we may identify RAR signatures that may more precisely correlate with varying seizure frequency, the burden of anticonvulsant therapy, and prevalent mood/anxiety symptoms.

Home-cage behavior in the Stargazer mutant mouse.

In many childhood-onset genetic epilepsies, seizures are accompanied by neurobehavioral impairments and motor disability. In the Stargazer mutant mouse, genetic disruptions of Cacng2 result in absence-like spike-wave seizures, cerebellar gait ataxia and vestibular dysfunction, which limit traditional approaches to behavioral phenotyping. Here, we combine videotracking and instrumented home-cage monitoring to resolve the neurobehavioral facets of the murine Stargazer syndrome. We find that despite their gait ataxia, stargazer mutants display horizontal hyperactivity and variable rates of repetitive circling behavior. While feeding rhythms, circadian or ultradian oscillations in activity are unchanged, mutants exhibit fragmented bouts of behaviorally defined "sleep", atypical licking dynamics and lowered sucrose preference. Mutants also display an attenuated response to visual and auditory home-cage perturbations, together with profound reductions in voluntary wheel-running. Our results reveal that the seizures and ataxia of Stargazer mutants occur in the context of a more pervasive behavioral syndrome with elements of encephalopathy, repetitive behavior and anhedonia. These findings expand our understanding of the function of Cacng2.