Kashatnikova Darya A, Gracheva Alesya S, Redkin Ivan V, Zakharchenko Vladislav E, Krylova Tatyana N, Kuzovlev Artem N, Salnikova Lyubov E
Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991 Moscow, Russia.
Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia.
Int J Mol Sci. 2025 Jan 31;26(3):1239. doi: 10.3390/ijms26031239.
Changes in red blood cell (RBC)-related parameters and anemia are common in both severe chronic and acute diseases. RBC-related phenotypes have a heritable component. However, it is unclear whether the contribution of genetic variability is pronounced when hematological parameters are affected by physiological stress. In this study, we analyzed RBC-related phenotypes and phenotype-genotype correlations in two exome-sequenced patient cohorts with or at a high risk for a critical illness: chronic TBI patients admitted for rehabilitation and patients with acute COVID-19. In the analysis of exome data, we focused on the cumulative effects of rare high-impact variants (qualifying variants, QVs) in specific gene sets, represented by Notch signaling pathway genes, based on the results of enrichment analysis in anemic TBI patients and three predefined gene sets for phenotypes of interest derived from GO, GWAS, and HPO resources. In both patient cohorts, anemia was associated with the cumulative effects of QVs in the GO (TBI: = 0.0003, OR = 2.47 (1.54-4.88); COVID-19: = 0.0004, OR = 2.12 (1.39-3.25)) and Notch pathway-derived (TBI: = 0.0017, OR = 2.33 (1.35-4.02); COVID-19: = 0.0012, OR =8.00 (1.79-35.74)) gene sets. In the multiple linear regression analysis, genetic variables contributed to RBC indices in patients with TBI. In COVID-19 patients, QVs in Notch pathway genes influenced RBC, HGB, and HCT levels, whereas genes from other sets influenced MCHC levels. Thus, in this exploratory study, exome data analysis yielded similar and different results in the two patient cohorts, supporting the view that genetic factors may contribute to RBC-related phenotypic performance in both severe chronic and acute health conditions.
红细胞(RBC)相关参数的变化和贫血在严重慢性疾病和急性疾病中都很常见。RBC相关表型具有遗传成分。然而,当血液学参数受到生理应激影响时,遗传变异的作用是否显著尚不清楚。在本研究中,我们分析了两个进行外显子组测序的患者队列中的RBC相关表型以及表型-基因型相关性,这两个队列患有危重症或有患危重症的高风险:因康复入院的慢性创伤性脑损伤(TBI)患者和急性新冠肺炎患者。在对外显子组数据的分析中,基于贫血TBI患者的富集分析结果以及从基因本体论(GO)、全基因组关联研究(GWAS)和人类表型本体(HPO)资源中得出的三个感兴趣表型的预定义基因集,我们重点关注特定基因集中罕见的高影响变异(合格变异,QV)的累积效应,这些基因集以Notch信号通路基因为代表。在两个患者队列中,贫血均与GO基因集(TBI: = 0.0003,比值比[OR]=2.47[1.54 - 4.88];新冠肺炎: = 0.0004,OR = 2.12[1.39 - 3.25])和Notch通路衍生基因集(TBI: = 0.0017,OR = 2.33[1.35 - 4.02];新冠肺炎: = 0.0012,OR = 8.00[1.79 - 35.74])中QV的累积效应相关。在多元线性回归分析中,遗传变量对TBI患者的红细胞指数有影响。在新冠肺炎患者中,Notch通路基因中的QV影响红细胞、血红蛋白(HGB)和血细胞比容(HCT)水平,而其他基因集的基因影响平均红细胞血红蛋白浓度(MCHC)水平。因此,在这项探索性研究中,外显子组数据分析在两个患者队列中产生了相似和不同的结果,支持了遗传因素可能在严重慢性和急性健康状况下对RBC相关表型表现都有贡献的观点。