Biomedical Informatics Research Laboratory, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Big Data Research Institute, China Pharmaceutical University, Nanjing 211198, China.
Dis Markers. 2022 Sep 26;2022:2148627. doi: 10.1155/2022/2148627. eCollection 2022.
Although transcriptomic data have been widely applied to explore various diseases, few studies have investigated the association between transcriptomic perturbations and disease development in a wide variety of diseases.
Based on a previously developed algorithm for quantifying intratumor heterogeneity at the transcriptomic level, we defined the variation of transcriptomic perturbations (VTP) of a disease relative to the health status. Based on publicly available transcriptome datasets, we compared VTP values between the disease and health status and analyzed correlations between VTP values and disease progression or severity in various diseases, including neurological disorders, infectious diseases, cardiovascular diseases, respiratory diseases, liver diseases, kidney diseases, digestive diseases, and endocrine diseases. We also identified the genes and pathways whose expression perturbations correlated positively with VTP across diverse diseases.
VTP values were upregulated in various diseases relative to their normal controls. VTP values were significantly greater in define than in possible or probable Alzheimer's disease. VTP values were significantly larger in intensive care unit (ICU) COVID-19 patients than in non-ICU patients, and in COVID-19 patients requiring mechanical ventilatory support (MVS) than in those not requiring MVS. VTP correlated positively with viral loads in acquired immune deficiency syndrome (AIDS) patients. Moreover, the AIDS patients treated with abacavir or zidovudine had lower VTP values than those without such therapies. In pulmonary tuberculosis (TB) patients, VTP values followed the pattern: active TB > latent TB > normal controls. VTP values were greater in clinically apparent than in presymptomatic malaria. VTP correlated negatively with the cardiac index of left ventricular ejection fraction (LVEF). In chronic obstructive pulmonary disease (COPD), VTP showed a negative correlation with forced expiratory volume in the first second (FEV1). VTP values increased with H. pylori infection and were upregulated in atrophic gastritis caused by H. pylori infection. The genes and pathways whose expression perturbations correlated positively with VTP scores across diseases were mainly involved in the regulation of immune, metabolic, and cellular activities.
VTP is upregulated in the disease versus health status, and its upregulation is associated with disease progression and severity in various diseases. Thus, VTP has potential clinical implications for disease diagnosis and prognosis.
尽管转录组数据已被广泛应用于探索各种疾病,但很少有研究调查转录组扰动与广泛疾病的发展之间的关联。
基于先前开发的一种用于量化转录组水平肿瘤内异质性的算法,我们定义了疾病相对于健康状态的转录组扰动变化(VTP)。基于公开的转录组数据集,我们比较了疾病和健康状态之间的 VTP 值,并分析了 VTP 值与各种疾病(包括神经障碍、传染病、心血管疾病、呼吸道疾病、肝病、肾病、消化系统疾病和内分泌疾病)的疾病进展或严重程度之间的相关性。我们还确定了在不同疾病中表达扰动与 VTP 呈正相关的基因和途径。
VTP 值在各种疾病中相对于其正常对照升高。在明确的阿尔茨海默病中,VTP 值明显高于可能或可能的阿尔茨海默病。在重症监护病房(ICU)COVID-19 患者中,VTP 值明显高于非 ICU 患者,在需要机械通气支持(MVS)的 COVID-19 患者中高于不需要 MVS 的患者。VTP 值与获得性免疫缺陷综合征(AIDS)患者的病毒载量呈正相关。此外,用阿巴卡韦或齐多夫定治疗的 AIDS 患者的 VTP 值低于未接受此类治疗的患者。在肺结核(TB)患者中,VTP 值遵循以下模式:活动性 TB > 潜伏性 TB > 正常对照。临床明显的疟疾的 VTP 值大于无症状的疟疾。VTP 值与左心室射血分数(LVEF)的心脏指数呈负相关。在慢性阻塞性肺疾病(COPD)中,VTP 与第一秒用力呼气量(FEV1)呈负相关。VTP 值随 H. pylori 感染而增加,并在 H. pylori 感染引起的萎缩性胃炎中上调。在不同疾病中,与 VTP 评分呈正相关的表达扰动的基因和途径主要参与免疫、代谢和细胞活动的调节。
VTP 在疾病与健康状态之间上调,其上调与各种疾病的疾病进展和严重程度相关。因此,VTP 对疾病诊断和预后具有潜在的临床意义。