{"title":"估计肾小球滤过率和血清神经丝轻链:来自NHANES的见解","authors":"Jiangwen Liu","doi":"10.36922/an.1394","DOIUrl":null,"url":null,"abstract":"The neurofilament light chain is a protein biomarker associated with neurodegenerative diseases. Neurofilament light chain levels may increase as kidney function declines due to reduced clearance. However, the relationship between estimated glomerular filtration rate (eGFR) and serum neurofilament light chain (sNfL) has not been extensively studied. Therefore, the objective of this study was to examine the association between eGFR and sNfL levels. Health survey data from 2071 eligible participants in the National Health and Nutrition Examination Survey (NHANES) were used in three multivariate-adjusted weighted linear regression models to analyze the correlation between eGFR and sNfL. Subsequently, segmental linear regression analysis was employed to determine the inflection point of eGFR. Finally, through subgroup analysis, we aimed to assess the impact of all covariates on the association between eGFR and sNfL. According to our results, sNfL levels decreased as eGFR increased. The segmental linear regression model analysis identified an inflection point at 59.9. When eGFR reached 59.9 or exceeded it, each unit increase in eGFR was associated with a 1 pg/mL decrease in sNfL (β = −0.1, P = 0.01). Furthermore, subgroup analysis revealed that hypertension exhibited a significant interaction with the association between eGFR and sNfL (P = 0.01). These findings suggest that eGFR holds promise as a potential marker for neurodegenerative disorders, and hypertension could affect this association to some extent. Moreover, these results could have significant implications for the early detection and prevention of neurodegenerative diseases in patients with kidney disease. However, further research is needed to corroborate these results and elucidate the underlying mechanisms.","PeriodicalId":72072,"journal":{"name":"Advanced neurology","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimated glomerular filtration rate and serum neurofilament light chain: insight from NHANES\",\"authors\":\"Jiangwen Liu\",\"doi\":\"10.36922/an.1394\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The neurofilament light chain is a protein biomarker associated with neurodegenerative diseases. Neurofilament light chain levels may increase as kidney function declines due to reduced clearance. However, the relationship between estimated glomerular filtration rate (eGFR) and serum neurofilament light chain (sNfL) has not been extensively studied. Therefore, the objective of this study was to examine the association between eGFR and sNfL levels. Health survey data from 2071 eligible participants in the National Health and Nutrition Examination Survey (NHANES) were used in three multivariate-adjusted weighted linear regression models to analyze the correlation between eGFR and sNfL. Subsequently, segmental linear regression analysis was employed to determine the inflection point of eGFR. Finally, through subgroup analysis, we aimed to assess the impact of all covariates on the association between eGFR and sNfL. According to our results, sNfL levels decreased as eGFR increased. The segmental linear regression model analysis identified an inflection point at 59.9. When eGFR reached 59.9 or exceeded it, each unit increase in eGFR was associated with a 1 pg/mL decrease in sNfL (β = −0.1, P = 0.01). Furthermore, subgroup analysis revealed that hypertension exhibited a significant interaction with the association between eGFR and sNfL (P = 0.01). These findings suggest that eGFR holds promise as a potential marker for neurodegenerative disorders, and hypertension could affect this association to some extent. Moreover, these results could have significant implications for the early detection and prevention of neurodegenerative diseases in patients with kidney disease. 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引用次数: 0
摘要
神经丝轻链是一种与神经退行性疾病相关的蛋白质生物标志物。神经丝轻链水平可能随着肾脏清除率降低而下降。然而,肾小球滤过率(eGFR)与血清神经丝轻链(sNfL)之间的关系尚未得到广泛研究。因此,本研究的目的是研究eGFR和sNfL水平之间的关系。采用全国健康与营养调查(NHANES)中2071名合格参与者的健康调查数据,建立3个多变量调整加权线性回归模型,分析eGFR与sNfL之间的相关性。随后,采用分段线性回归分析确定eGFR的拐点。最后,通过亚组分析,我们旨在评估所有协变量对eGFR和sNfL之间关联的影响。根据我们的结果,sNfL水平随着eGFR的升高而降低。分段线性回归模型分析发现59.9为拐点。当eGFR达到或超过59.9时,每单位eGFR升高与sNfL (& β;= & -;0.1, P = 0.01)。此外,亚组分析显示,高血压与eGFR和sNfL之间存在显著的相互作用(P = 0.01)。这些发现表明,eGFR有望成为神经退行性疾病的潜在标志物,而高血压可能在一定程度上影响这种关联。此外,这些结果可能对肾脏疾病患者神经退行性疾病的早期发现和预防具有重要意义。然而,需要进一步的研究来证实这些结果并阐明潜在的机制。
Estimated glomerular filtration rate and serum neurofilament light chain: insight from NHANES
The neurofilament light chain is a protein biomarker associated with neurodegenerative diseases. Neurofilament light chain levels may increase as kidney function declines due to reduced clearance. However, the relationship between estimated glomerular filtration rate (eGFR) and serum neurofilament light chain (sNfL) has not been extensively studied. Therefore, the objective of this study was to examine the association between eGFR and sNfL levels. Health survey data from 2071 eligible participants in the National Health and Nutrition Examination Survey (NHANES) were used in three multivariate-adjusted weighted linear regression models to analyze the correlation between eGFR and sNfL. Subsequently, segmental linear regression analysis was employed to determine the inflection point of eGFR. Finally, through subgroup analysis, we aimed to assess the impact of all covariates on the association between eGFR and sNfL. According to our results, sNfL levels decreased as eGFR increased. The segmental linear regression model analysis identified an inflection point at 59.9. When eGFR reached 59.9 or exceeded it, each unit increase in eGFR was associated with a 1 pg/mL decrease in sNfL (β = −0.1, P = 0.01). Furthermore, subgroup analysis revealed that hypertension exhibited a significant interaction with the association between eGFR and sNfL (P = 0.01). These findings suggest that eGFR holds promise as a potential marker for neurodegenerative disorders, and hypertension could affect this association to some extent. Moreover, these results could have significant implications for the early detection and prevention of neurodegenerative diseases in patients with kidney disease. However, further research is needed to corroborate these results and elucidate the underlying mechanisms.