Hostname: page-component-89b8bd64d-ktprf Total loading time: 0 Render date: 2026-05-06T07:46:37.577Z Has data issue: false hasContentIssue false

Relationship of several serum folate forms with kidney function and albuminuria: cross-sectional data from the National Health and Nutrition Examination Surveys (NHANES) 2011–2018

Published online by Cambridge University Press:  21 May 2021

Mengyi Liu
Affiliation:
Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, People’s Republic of China
Chun Zhou
Affiliation:
Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, People’s Republic of China
Zhuxian Zhang
Affiliation:
Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, People’s Republic of China
Qinqin Li
Affiliation:
Institute of Biomedicine, Anhui Medical University, Hefei 230032, People’s Republic of China
Panpan He
Affiliation:
Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, People’s Republic of China
Yuanyuan Zhang
Affiliation:
Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, People’s Republic of China
Huan Li
Affiliation:
Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, People’s Republic of China
Chengzhang Liu
Affiliation:
Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, People’s Republic of China Institute of Biomedicine, Anhui Medical University, Hefei 230032, People’s Republic of China
Fan Fan Hou
Affiliation:
Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, People’s Republic of China
Xianhui Qin*
Affiliation:
Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, People’s Republic of China
*
*Corresponding author: Xianhui Qin, email pharmaqin@126.com
Rights & Permissions [Opens in a new window]

Abstract

We aim to examine the relation of several folate forms (5-methyltetrahydrofolate (5-mTHF), unmetabolised folic acid (UMFA) and MeFox) with kidney function and albuminuria, which remained uncertain. The cross-sectional study was conducted in 18 757 participants from National Health and Nutrition Examination Survey 2011–2018. The kidney outcomes were reduced estimated glomerular filtration rate (eGFR) (<60 ml/min/1·73 m2), microalbuminuria (albumin:creatinine ratio (ACR) of 30–299 mg/g) and macroalbuminuria (ACR ≥ 300 mg/g). Overall, there were significant inverse associations between serum 5-mTHF and kidney outcomes with significant lower prevalence of reduced eGFR (OR, 0·71; 95 % CI: 0·57, 0·87) and macroalbuminuria (OR, 0·65; 95 % CI: 0·46, 0·91) in participants in quartiles 3–4 (v. quartiles 1–2; both Pfor trend across quartiles <0·05). In contrast, there were significant positive relationship between serum UMFA and kidney outcomes with significant higher prevalence of reduced eGFR in participants in quartiles 2–4 (v. quartile 1; OR, 2·12; 95 % CI: 1·45, 3·12; Pfor trend <0·001) and higher prevalence of macroalbuminuria in participants in quartile 4 (v. quartiles 1–3; OR, 1·46; 95 % CI: 1·06, 2·01; Pfor trend <0·001). However, there was no significant associations of 5-mTHF and UMFA with microalbuminuria. In addition, there were significant positive relationships of serum MeFox with reduced eGFR, microalbuminuria and macroalbuminuria (all Pfor trend <0·01). In conclusion, higher 5-mTHF level, along with lower UMFA and MeFox level, was associated with lower prevalence of kidney outcomes, which may help counsel future clinical trials and nutritional guidelines regarding the folate supplement.

Information

Type
Full Papers
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Nutrition Society
Figure 0

Table 1. Baseline characteristics of study participants according to quartiles of 5-methyltetrahydrofolate (5-mTHF) and unmetabolised folic acid (UMFA)*(Numbers and percentages)

Figure 1

Table 2. Relationship of folate forms with reduced estimated glomerular filtration rate (eGFR)*(Numbers and percentages; odd ratio and 95 % confidence intervals)

Figure 2

Table 3. Relationship of folate forms with macroalbuminuria*(Numbers and percentages; odd ratio and 95 % confidence intervals)

Figure 3

Table 4. Relationship of folate forms with microalbuminuria*(Numbers and percentages; odd ratio and 95 % confidence intervals)

Figure 4

Fig. 1. The association between 5-methyltetrahydrofolate (5-Mthf) and risk of reduced estimated glomerular filtration rate (eGFR) and macroalbuminuria in various subgroups*. *All estimates accounted for complex survey designs. Binomial regression models were used to estimate OR and 95 % CI, and maximum likelihood ratio was used to calculate Pvalue for interaction. Analysis was adjusted for age (continuous), sex, BMI (continuous), race/ethnicity (non-Hispanic white, non-Hispanic black, Mexican American and others), education level (less than high school, high school or equivalent and college or above), smoking status (never, past and current), history of diabetes (no and yes) and hypertension (no and yes), total cholesterol (continuous), HDL-cholesterol (continuous) and haemoglobin A1c (continuous), if not been stratified. Kidney outcomes were binary variable (no and yes), and folate forms were defined as binary variable according to the results of Tables 2–3.

Figure 5

Fig. 2. The association between unmetabolised folic acid (UMFA) and risk of reduced estimated glomerular filtration rate (eGFR) and macroalbuminuria in various subgroups*. *All estimates accounted for complex survey designs. Binomial regression models were used to estimate OR and 95 % CI, and maximum likelihood ratio was used to calculate Pvalue for interaction. Analysis was adjusted for age (continuous), sex, BMI (continuous), race/ethnicity (non-Hispanic white, non-Hispanic black, Mexican American and others), education level (less than high school, high school or equivalent and college or above), smoking status (never, past and current), history of diabetes (no and yes) and hypertension (no and yes), total cholesterol (continuous), HDL-cholesterol (continuous) and haemoglobin A1c (continuous), if not been stratified. Kidney outcomes were binary variable (no and yes), and folate forms were defined as binary variable according to the results of Tables 2–3.

Supplementary material: File

Liu et al. supplementary material

Figure S1 and Tables S1-S2

Download Liu et al. supplementary material(File)
File 37.2 KB