遇见数据集

RNA Expression Change in Heroin Abuser

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NIAID Data Ecosystem2026-05-26 收录
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Chronic illicit drug abuse and addiction are major public health concerns. Heroin remains the most commonly illicit drug. Despite a long history of research, the physiological effects of heroin and the underlying molecular mechanisms remain unclear. Herein, we examined the peripheral blood from 810 heroin-dependent patients (HDPs) versus 500 healthy controls (HCs) according to the inclusion criteria. The blood biochemical parameters including albumin, triglyceride, total cholesterol, and glucose were compared among the participants. Compared with the control group, significant decreases of albumin, triglyceride, total cholesterol, and glucose levels were identified in HDPs (P < 0.001) versus HCs coupled with an insignificant decrease in BMI. Meanwhile, whole transcriptome-sequencing analyses were performed on peripheral blood mononuclear cells (PBMC) of 16 long-term HDPs and 25 age- and gender- matched HCs. The transcriptome analysis showed that the NF?B/TNFa signaling pathway and hematopoiesis related genes were inhibited in PBMC of HDPs. Furthermore, we compared of the transcriptome data of HDPs to those of spinocerebellar ataxia type 2 and posttraumatic stress disorder patients, identified neurodegenerative diseases related genes were commonly up-regulated in coupled with biological processes “vesicle transport”, “mitochondria” and “splicing”. Genes in the categories of “protein ubiquitination” were down-regulated indicating potential biochemical alterations shared by all three comparative to their controls. In summary, this is a leading study performing a series of through investigations in large sample numbers and using delicate approaches. Results from this study would benefit the study of drug addiction overall and link long-term heroin abuse to neurodegenerative diseases.

创建时间:
2018-12-13
搜集汇总
数据集介绍
RNA Expression Change in Heroin Abuser 数据集图片
背景与挑战
背景概述
该数据集包含41个来自海洛因滥用者的RNA测序样本,使用Illumina HiSeq X Ten平台进行双端测序,旨在研究海洛因滥用对RNA表达水平的影响。数据以fastq格式提供,可用于分析基因表达变化。
以上内容由遇见数据集搜集并总结生成
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