High-fat intake reshapes the circadian transcriptome profile and metabolism in murine meibomian glands

Abstract

BackgroundNutritional and food components reshape the peripheral clock and metabolism. However, whether food challenges affect the circadian clock and metabolism of meibomian glands (MGs) has not been fully explored. This study was designed to analyze alterations in the rhythmic transcriptome and metabolism of MGs of murine fed a balanced diet or a high-fat diet (HFD).MethodsMale C57BL/6J mice were maintained on a 12/12 h light/dark cycle and fed ad libitum on normal chow (NC) or HFD for 4 weeks. MGs were collected from sacrificed animals at 3-h intervals throughout a 24-h circadian cycle. The circadian transcriptome of MGs was analyzed via bioinformatics approaches using high-throughput RNA sequencing (RNA-seq). In addition, circadian oscillations of lipid components in MGs were analyzed.ResultsMeibomian glands displayed robust transcriptome rhythmicity. HFD feeding significantly altered the circadian transcriptome profile of MGs—including composition and phase—and spatiotemporally affected the enriched signaling pathways. In addition, HFD feeding significantly altered the normal rhythmic oscillations of lipid components in MGs.ConclusionOur data show that HFD significantly affects MGs’ rhythmicity, which reveals a high sensitivity of MGs’ clocks to lipid composition in food.

Regulation of headache response and transcriptomic network by the trigeminal ganglion clock

“…71 4 This level of reprogramming is comparable to that of high fat diet and time-restricted feeding, two experimental conditions known to have profound circadian changes. 72,73 In similar RNA sequencing studies with samples collected every 2-4 h for 24 h, high fat diet treatment leads to 72.5%-87.8% differential expression of REGs in the liver and meibomian glands compared to a control diet 61,74,75 ; in time-restricted feeding experiments, 63%-85.1% of all REGs are differentially expressed in a variety of tissues compared to an ad libitum diet. 76,77 In our study, a similar 81.2% of all REGs were differentially expressed between the control and NTG groups.…”

Diabetes Reshapes the Circadian Transcriptome Profile in Murine Retina

“…Time-series clustering approach is an effective way to assess temporal features associated with big data sets. 42 , 43 Four different types of rhythmic clustering oscillations are observed in the normal retina, each of them showing distinct pathway characteristics. However, significant variations in the circadian transcription landscape were observed after the onset of diabetes.…”