Abstract
Introduction
Elevated homocysteine (Hcy) and related metabolites accelerate Alzheimer's disease. Hcy‐lowering B vitamins slow brain atrophy/cognitive decline in mild cognitive impairment (MCI). Modification with Hcy‐thiolactone generates auto‐immunogenic N‐Hcy‐protein. We tested a hypothesis that anti‐N‐Hcy‐protein autoantibodies predict cognition in individuals with MCI participating in a randomized, double‐blind, placebo‐controlled VITACOG trial of B vitamins.
Methods
Participants with MCI (n = 196, 76.8 years old, 60% women) were randomly assigned to receive a daily dose of folic acid (0.8 mg), vitamin B12 (0.5 mg), and B6 (20 mg) (n = 98) or placebo (n = 98) for 2 years. Cognition was analyzed by neuropsychological tests. Brain atrophy was quantified in a subset of patients (n = 167) by magnetic resonance imaging. Anti N‐Hcy‐protein auto‐antibodies were quantified by enzyme‐linked immunosorbent assay. Associations among anti‐N‐Hcy‐protein autoantibodies, cognition, and brain atrophy were examined by multiple regression analysis.
Results
At baseline, anti‐N‐Hcy‐protein autoantibodies were significantly associated with impaired global cognition (Mini‐Mental State Examination [MMSE]), episodic memory (Hopkins Verbal Learning Test‐revised), and attention/processing speed (Map Search). At the end of the study, anti‐N‐Hcy‐protein autoantibodies were associated with impaired global cognition (MMSE) and attention/processing speed (Trail Making A). In the placebo group, baseline anti‐N‐Hcy‐protein autoantibodies predicted, independently of Hcy, global cognition (Telephone Inventory for Cognitive Status modified [TICS‐m]; MMSE) and attention/processing speed (Trail Making A) but not brain atrophy, at the end of study. B‐vitamin treatment abrogated association of anti‐N‐Hcy‐protein autoantibodies with cognition.
Discussion
These findings suggest that anti‐N‐Hcy‐protein autoantibodies can impair functional (attention/processing speed and global cognition), but not structural (brain atrophy), aspects of cognition. Anti‐N‐Hcy‐protein autoantibodies are a new factor associated with impaired cognition, which could be ameliorated by B vitamins.
Keywords: anti‐N‐Hcy‐protein autoantibodies, brain atrophy, cognition, homocysteine, mild cognitive impairment
1. INTRODUCTION
Dementia is a major public health issue in aging modern societies. As of 2017, dementia affects 50 million individuals worldwide and continues to increase. 1 Brain atrophy, a feature of neurodegeneration, is occurring during normal aging but is more pronounced in mild cognitive impairment (MCI) and is further accelerated in Alzheimer's disease (AD). 2 As no effective treatment for dementia is available, identification of modifiable risk factors that affect cognitive decline and brain atrophy is important for the development of preventive interventions and treatments. 3 , 4 Reducing cognitive decline and brain atrophy is likely to slow the conversion of individuals with MCI to AD. 2
MCI is defined as “cognitive decline greater than that expected for an individual's age and education level but that does not interfere notably with activities of daily life.” 5 The prevalence of MCI is about 16% in individuals over 70 years old. 6 , 7 Half the MCI cases will develop dementia within 5 years after diagnosis. 5 Thus, there is an urgent need to identify biomarkers of cognitive decline and elucidate their mechanisms of action, which has important public health policy implications.
Elevated plasma total homocysteine (tHcy), that is, hyperhomocysteinemia (HHcy) is a risk factor for dementia and AD. 8 HHcy is very common in elderly individuals and is mostly caused by low B vitamin status and reduced renal function. 9 , 10
Although Hcy is not a genetically coded amino acid, proteins do contain Hcy residues. One mechanism by which Hcy can become a constituent of proteins involves modification of protein lysine residues by Hcy‐thiolactone. 11 The modification alters proteins’ structure/function 12 , 13 and generates auto‐immunogenic 14 and pro‐inflammatory 15 N‐homocysteinylated proteins (N‐Hcy‐protein). 11
In humans, anti‐N‐Hcy‐protein autoantibodies are associated with stroke and coronary artery disease. 11 , 14 , 15 However, it is not known whether anti‐N‐Hcy‐protein autoantibodies are associated with cognition and how B vitamins could affect this association. The present work was undertaken to examine whether anti‐N‐Hcy‐protein autoantibodies predict cognition in individuals with MCI. We accomplished this aim by studying relationships between anti‐N‐Hcy‐protein autoantibodies quantified by enzyme‐linked immunosorbent assay and various measures of cognition quantified by neuropsychological testing. We also studied how these relationships are modified by B vitamin supplementation.
2. METHODS
2.1. Participants
We analyzed stored serum samples from participants with MCI who fulfilled the Petersen criteria 16 and had participated in a randomized controlled trial registered as VITACOG, ISRCTN 94410159 (http://www.controlled‐trials.com). 17 Participants had a Mini‐Mental State Examination (MMSE) score of > 24/30 and no evidence of dementia. Other participants’ characteristics were collected at baseline and have been previously described, as was the study protocol. 17 Briefly, the study included individuals aged 77.6 ± 4.8 (n = 266, 60.7% female), some of whom (n = 168) had magnetic resonance imaging (MRI) scans at baseline and at 24.3 ± 0.7 months of follow‐up. Participants were randomly assigned to the B vitamin treatment and placebo groups. Each participant received a daily oral TrioB Plus supplement tablet (folic acid, 0.8 mg; vitamin B12 ‐ cyanocobalamin, 0.5 mg; vitamin B6 ‐ pyridoxine HCl, 20 mg) or a placebo tablet for an average of 2 years. Baseline characteristics of participants for whom serum samples were available for the anti‐N‐Hcy‐protein autoantibody assays (B vitamin group, n = 99; placebo group, n = 99), are listed in Table S1 and Table S2 in supporting information. At baseline, 15.6% to 21.2% participants had stroke, transient ischemic attack, or MRI infarct; 5.1% to 10.1% had diabetes; and 8.2% to 8.1% had myocardial infarction (in the treatment and placebo group, respectively); 51.5% to 49.5%, 29.9.6% to 37.4%, and 16.5% to 19.2% participants used cardiovascular disease (CVD) drugs, aspirin, and B vitamins, respectively. Blood samples were collected at baseline and at the 24‐month follow‐up. All participants gave written informed consent. The study was carried out according to the principles of the Declaration of Helsinki and was approved by the Oxfordshire National Health Service Research Ethics Committee (COREC 04/Q1604/100).
2.2. MRI scans
High‐resolution T1‐weighted images were acquired at baseline and at 2‐year follow‐up on a 1.5T Sonata MRI system (Siemens Medical Systems) and analyzed as previously described. 17 , 18
2.3. Cognitive testing
At baseline and follow‐up, neuropsychological tests were carried out by trained research nurses and psychologists blind to patient's clinical dementia rating, as previously described in the trial protocol; 17 test scores are shown in Table S2. The tests are representative of cognitive domains affected in MCI: global cognition (MMSE; 19 Telephone Inventory for Cognitive Status modified [TICS‐m] 20 ), episodic memory (Hopkins Verbal Learning Test‐revised [HVLT]), 21 attention/processing speed (Map Search 22 and Trail Making A 23 ). Attention/processing speed (Symbol Digits Modalities Test [SDMT]), executive function (Trail Making B, CLOX), semantic memory (Graded Naming, Category Fluency). The CANTAB Paired Associate Learning (PAL) and Spatial Recognition Memory (SRM) tests were also used as outcome measures. 24
2.4. Anti‐N‐Hcy‐protein autoantibody assays
Anti‐N‐Hcy‐protein autoantibodies were quantified as previously described. 14 , 25 Briefly, wells of a PoliSorp 96‐well plate (Thermo Fisher Scientific) were coated with N‐Hcy‐albumin, blocked with bovine serum albumin, and human serum was added and allowed to bind overnight at 4°C. After removing unbound material, bound human immunoglobulin (Ig)G was quantified with goat anti‐human IgG conjugated with horseradish peroxidase (Millipore‐Sigma) and the 3, 3′,5,5′‐tetramethylbenzidine/H2O2 peroxidase substrate. After quenching with H2SO4, A492 was recorded using a microplate reader. Each data point was obtained from triplicate measurements. Non‐specific IgG binding was corrected for by subtracting A492 for unmodified albumin controls.
2.5. Metabolite analyses
Values for plasma tHcy and other variables were obtained from analyses reported previously. 17
2.6. Genotyping
PON1 Q192R genotype was established by enzymatic activity measurements; 26 MTHFR C677T, TCN C776G, COMT V158M, and BDNF V66M genotypes were established by standard methods using polymerase chain reaction. Allele frequencies are listed in Table S1.
2.7. Statistical analysis
Normality of a variable distribution was tested with the Shapiro‐Wilk statistic. For normally distributed variables, mean ± standard deviation (SD) was calculated. For non‐normally distributed variables, medians were calculated. An unpaired two‐sided t test was used for comparisons between two groups of variables with normal distribution. A Mann‐Whitney rank sum test was used for comparisons between two groups of non‐normally distributed variables. Associations between dependent (anti‐N‐Hcy‐protein autoantibodies, cognition measures, brain atrophy) and independent variables were examined by Pearson's correlations and multiple linear regression. Statistical software packages PSPP, version 1.0.1 and Statistica, version 13 (TIBCO Software Inc.) were used. Probability values were two‐sided and P value < .05 was considered statistically significant.
RESEARCH IN CONTEXT
Systematic review: The authors reviewed the literature using PubMed resources, meeting abstracts/presentations. While an autoimmune response against homocysteine‐modified proteins is not yet as widely studied as against other proteins, there are several publications describing the involvement of the anti‐homocysteine‐protein autoantibodies in stroke, heart disease, uremia, lupus, and neural tube defects. These relevant citations are appropriately cited.
Interpretation: Our findings provide support to a hypothesis describing pathologic role of anti‐homocysteine‐protein autoantibodies in the CNS. This hypothesis also applies to nonclinical and clinical findings in other body systems.
Future directions: The manuscript proposes a framework for the generation of new hypotheses and for additional studies aimed at discovery and further understanding of: (a) genetic and biochemical factors that affect generation of anti‐homocysteine‐protein autoantibodies and cognition; (b) the prevention of cognitive impairment by B‐vitamins; and (c) the relationship between the cognitive domain‐specific outcomes and region‐specific brain damage.
3. RESULTS
3.1. Determinants of anti‐N‐Hcy‐protein autoantibodies at baseline
For the 196 participants with MCI, mean age at baseline was 76.6 years and 63.7% were women. Baseline serum anti‐N‐Hcy‐protein autoantibodies levels varied from 0.013 to 1.418 A450 and tended to be higher in men (n = 71) than in women (n = 125), with median values 0.170 and 0.162 A492/min, respectively (Table 1). Levels of tHcy showed a similar variation with age and sex.
TABLE 1.
Baseline anti‐N‐Hcy‐protein autoantibodies and tHcy levels in participants with MCI
| Men (n = 71) | Women (n = 125) | P value | |||
|---|---|---|---|---|---|
| Variable | Mean ± SD | Median (range) | Mean ± SD | Median (range) | |
| Anti‐N‐Hcy‐protein autoantibodies, A492/min | 0.238 ± 0.240 | 0.170 (0.01–1.42) | 0.205 ± 0.176 | 0.162 (0.00–1.42) | .265 |
| tHcy, μM | 12.3 ± 3.7 | 11.5 (5.5–31.1) | 11.5 ± 3.8 | 10.8 (7–23.4) | .171 |
| Age, years | 76.7 ± 4.5 | 76.3 (70–93) | 76.6 ± 5.2 | 75.9 (70–87) | .945 |
Abbreviations: Hcy, homocysteine; MCI, mild cognitive impairment; SD, standard deviation; tHcy, total homocysteine.
Associations between baseline anti‐N‐Hcy‐protein autoantibodies and baseline independent variables are presented in Table 2. In univariate analysis, hemoglobin (Hb: β = 0.23, P = .001) and global cognition (MMSE: β = 0.15, P = .037) were significantly associated with baseline anti‐N‐Hcy‐protein autoantibodies, while cysteine (Cys: β = 0.13, P = .076) and stroke (β = –0.10, P = .164) tended to be associated.
TABLE 2.
Baseline determinants of anti‐N‐Hcy‐protein autoantibodies
| Multiple regression a | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Pearson correlation | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | |||||||
| Variable (n = 180–196) | β | P | β | P | β | P | β | P | β | P | β | P |
| tHcy_1 | 0.07 | .307 | ||||||||||
| Cys_1 | 0.13 | .076 | 0.18 | .025 | 0.17 | .028 | 0.16 | .040 | 0.19 | .015 | 0.16 | .041 |
| Hb_1 | 0.23 | .001 | 0.27 | .001 | 0.30 | .000 | 0.27 | .001 | 0.30 | 0.000 | 0.28 | .001 |
| Stroke_1 | –0.10 | .164 | –0.15 | .047 | –0.17 | .031 | –0.15 | .057 | –0.16 | .038 | –0.18 | .020 |
| MMSE_1 | 0.15 | .037 | 0.15 | .063 | 0.15 | .048 | 0.19 | .012 | ||||
| HVLT‐TR_1 | 0.08 | .295 | 0.13 | .106 | 0.15 | .020 b | ||||||
| Map search_1 | –0.07 | .331 | ‐0.20 | .016 | –0.16 | .041 c | –0.18 | 0.028 | ||||
| 1 – baseline |
F = 3.89, P = .002, Adjusted R2 = 0.08 |
F = 3.95, P = .000, Adjusted R2 = 0.12 |
F = 3.93, P = .001 Adjusted R2 = 0.09 |
F = 3.96, P = .000 Adjusted R2 = 0.11 |
F = 4.09, P = .000 Adjusted R2 = 0.11 |
|||||||
Adjusted for age and sex.
P = .05 in a model without Map Search.
P = .117 in a model without HVLT‐TR.
Abbreviations: Cys, cysteine; Hb, hemoglobin; HVLT‐TR, Hopkins Verbal Learning Test Total Recall; MMSE, Mini‐Mental State Examination; tHcy, total homocysteine.
In multiple regression analysis Cys, Hb, and stroke were significant determinants of anti‐N‐Hcy‐protein autoantibodies at baseline (adjusted R2 = 0.08, Model 1). Addition of neuropsychological measures in several cognitive domains improved the significance and predictive value of Model 1. Specifically, global cognition (MMSE; Models 3 and 5), verbal episodic memory (HVLT‐TR, Total Recall score; Model 4), and attention/processing speed (Map Search; Models 2, 4, and 5) were significantly associated with anti‐N‐Hcy‐protein autoantibodies (adjusted R2 = 0.09 to 0.12; Table 2).
There was no association between baseline anti‐N‐Hcy‐protein autoantibodies and other cognitive measures examined at baseline: episodic memory (HVLT‐DR Delayed Recall, PAL Total Errors, CANTAB SRM), attention/processing speed (SDMT, Trail Making B, CLOX), attention/speed (Trail Making A), semantic memory (Graded Naming, Category Fluency), and global cognition (TICS‐m).
3.2. Baseline anti‐N‐Hcy‐protein autoantibodies determine cognition at the end of study—The placebo group
Multiple regression analysis for the placebo group in models including baseline tHcy, age, sex, neuropsychological test score, and atrophy rate revealed that baseline anti‐N‐Hcy‐protein autoantibodies were associated with cognition in three domains at the end of study: general cognition (TICS‐m, MMSE), and attention/speed (Trail Making A). There was no association between anti‐N‐Hcy‐protein autoantibodies and several other cognitive domains examined at the end of study: episodic memory (HVLT‐TR, HVLT‐DR, PAL Total Errors, CANTAB SRM), executive function (SDMT, Trail Making B, CLOX), attention/processing speed (Map Search), and semantic memory (Graded Naming, Category Fluency).
3.2.1. Global cognition–TICS‐m
Variables that significantly determined general cognition score with the TICS‐m test at the end of the study included baseline anti‐N‐Hcy‐protein autoantibodies (β = –0.19, P = .040), baseline TICS‐m score (β = 0.34, P = .001), rate of brain atrophy (β = –0.43, P = .000), and age (β = –0.28, P = .004; Table 3, Model 2; adjusted R2 was 0.50). Although TICS‐m was associated with tHcy in univariate analysis (β = –0.39, P = .000), it was not associated with tHcy in multiple regression analysis (Model 3; β = –0.12, P = .245). Notably, tHcy did not affect the association of anti‐N‐Hcy‐protein autoantibodies with the TICS‐m score (Table 3, Model 4 vs. Model 2). Because a higher score on the TICS‐m test indicates better cognition, these findings suggest that higher levels of anti‐N‐Hcy‐protein autoantibodies have a detrimental effect on general cognition while tHcy does not.
TABLE 3.
Baseline determinants of cognition at the end of study–Placebo group
| Global memory: TICS‐m_2 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Multiple regression a | ||||||||||
| Pearson correlation | Model 1 | Model 2 | Model 3 | Model 4 | ||||||
| Variable (n = 82–112) | β | P | β | P | β | P | β | P | β | P |
| Anti‐N‐Hcy_1 | 0.01 | .937 | –0.19 | .040 | –0.19 | .040 | ||||
| tHcy_1 | –0.39 | .000 | –0.12 | .245 | –0.11 | .382 | ||||
| Atrophy_rate | –0.51 | .000 | –0.40 | .000 | –0.43 | 0.000 | –0.35 | .001 | –0.38 | .001 |
| TICS‐m_1 | 0.44 | .000 | 0.32 | .000 | 0.34 | .001 | 0.31 | .000 | 0.33 | .000 |
| Age_1 | –0.34 | .000 | –0.28 | .002 | –0.28 | .004 | –0.24 | .014 | –0.24 | .021 |
|
1 – baseline 2 – end of study |
F = 12.11, P = .000, Adjusted R2 = 0.49 |
F = 9.48, P = .000, Adjusted R2 = 0.50 |
F = 10.08, P = .000, Adjusted R2 = 0.49 |
F = 8.48, P = .000, Adjusted R2 = 0.49 |
||||||
Adjusted for sex and MTHFR677CT, TCN776CG, COMT V158M genotypes.
Abbreviations: Hcy, homocysteine; TICS‐m, Telephone Inventory for Cognitive Status modified.
3.2.2. Global cognition–MMSE
Variables that significantly determined global cognition score in the MMSE test at the end of the study included baseline MMSE score (β = 0.30, P = .004), rate of brain atrophy (β = –0.31, P = .003), and age (β = –0.29, P = .009; Table 4, Model 5; adjusted R2 was 0.36). Baseline anti‐N‐Hcy‐protein autoantibodies tended to be associated with MMSE score (Model 6: β = –0.18, P = .071; adjusted R2 was 0.37).
TABLE 4.
Baseline determinants of cognition at the end of study–Placebo group
| Global cognition: MMSE_2 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Multiple regression a | ||||||||||
| Pearson correlation | Model 5 | Model 6 | Model 7 | Model 8 | ||||||
| Variable (n = 82–112) | β | P | β | P | β | P | β | P | β | P |
| Anti‐N‐Hcy_1 | –0.10 | .346 | –0.18 | .071 | –0.18 | .073 | ||||
| tHcy_1 | –0.29 | .002 | 0.02 | .821 | –0.10 | .488 | ||||
| Atrophy rate | –0.36 | .001 | –0.31 | .003 | –0.31 | .004 | –0.26 | .045 | –0.26 | .041 |
| MMSE_1 | 0.35 | .000 | 0.30 | .004 | 0.32 | .003 | 0.31 | .003 | 0.33 | .002 |
| Age_1 | –0.29 | .002 | –0.29 | .009 | –0.31 | .005 | –0.24 | .048 | –0.27 | .032 |
|
1 – baseline 2 – end of study |
F = 7.32, P = .000, Adjusted R2 = 0.36 |
F = 6.52, P = .000, Adjusted R2 = 0.37 |
F = 6.31, P = .000, Adjusted R2 = 0.35 |
F = 5.71, P = .000, Adjusted R2 = 0.36 |
||||||
Adjusted for sex, PON1 Q192R, and BDNF V66M genotypes.
Abbreviations: Hcy, homocysteine; MMSE, Mini‐Mental State Examination; tHcy, total homocysteine.
The MMSE score was associated with tHcy in univariate analysis (β = –0.29, P = .002) but not in multiple regression analysis (Table 4, Model 7). Notably, tHcy did not affect the association between anti‐N‐Hcy‐protein autoantibodies and the MMSE score (Model 8). Because a higher score on the MMSE indicates better cognitive outcome, these findings suggest that anti‐N‐Hcy‐protein autoantibodies tend to have a detrimental effect on global cognition while tHcy does not.
3.2.3. Attention/processing speed–Trail Making A
Multiple regression analysis showed that variables that significantly determined the attention/processing speed score in the Trail Making A test at the end of study were: baseline anti‐N‐Hcy‐protein autoantibodies (β = –0.99, P = .039), baseline tHcy (β = 0.26, P = .033), baseline Trail Making A score (β = 0.22, P = .014), rate of brain atrophy (β = –0.54, P = .000), and COMT V158M genotype (β = –0.19, P = .025; Table 5, Model 12; adjusted R2 was 0.53).
TABLE 5.
Baseline determinants of cognition at the end of study–Placebo group
| Attention/processing speed: Trail Making A_2 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Multiple regression a | ||||||||||
| Pearson correlation | Model 9 | Model 10 | Model 11 | Model 12 | ||||||
| Variable (n = 99–133) | β | P | β | P | β | P | β | P | β | P |
| Anti‐N‐Hcy_1 | 0.07 | .474 | 0.19 | .034 | 0.18 | .039 | ||||
| tHcy_1 | 0.45 | .000 | 0.26 | .022 | 0.26 | .033 | ||||
| Atrophy rate_2 | 0.55 | .000 | 0.49 | .000 | 0.54 | .000 | 0.39 | 0.000 | 0.41 | .000 |
| Trail Making A_1 | 0.42 | .000 | 0.22 | .016 | 0.26 | .005 | 0.19 | .035 | 0.22 | .014 |
| Age_1 | 0.34 | .000 | 0.22 | .035 | 0.24 | .015 | 0.09 | .359 | 0.15 | .134 |
| COMT V158M | –0.12 | .216 | ‐0.19 | .034 | –0.19 | .035 | –0.17 | .051 | –0.19 | .025 |
|
1 – baseline 2 – end of study |
F = 12.45, P = .000, Adjusted R2 = 0.42 |
F = 12.43, P = .000, Adjusted R2 = 0.51 |
F = 11.92, P = .000, Adjusted R2 = 0.45 |
F = 12.00, P = .000, Adjusted R2 = 0.53 |
||||||
Adjusted for sex.
Abbreviations: Hcy, homocysteine; tHcy, total homocysteine.
Trail Making A score was associated with tHcy in both univariate (β = 0.45, P = .000) and multiple regression analysis (Table 5, Model 11: β = 0.26, P = .022; adjusted R2 was 0.45). However, models with anti‐N‐Hcy‐protein autoantibodies (Model 10, R2 = 0.51; Model 8, R2 = 0.53) had higher R2 values than models with (Model 11, R2 = 0.45) or without tHcy (Model 9, R2 = 0.42). Notably, tHcy did not affect the significance of the association of anti‐N‐Hcy‐protein autoantibodies with the Trail Making A score but slightly increased the adjusted R2 to 0.53 (Model 12 vs. Model 10). These findings suggest that anti‐N‐Hcy‐protein autoantibodies and tHcy have independent detrimental effects on the attention/processing speed domain of cognition (higher score in the Trail Making A test indicates worse cognitive outcome).
3.3. B vitamin treatment modifies effects of anti‐N‐Hcy‐protein autoantibodies on cognition
Effects of B vitamin treatment on anti‐N‐Hcy‐protein autoantibodies and associated variables are shown in Table S2. As previously reported, there was a significant 25% reduction in the tHcy levels at the end of study in the B vitamin (8.9 ± 2.2 vs. 11.8 ± 3.4, P = 7.E‐13) but not in the placebo group (13.1 ± 4.7 vs. 21.1 ± 4.1, P = .112), indicating efficacy of the B vitamin treatment. There was also a significant increase in anti‐N‐Hcy‐protein autoantibodies at the end of study in the placebo group (0.239 ± 0.217 vs. 0.185 ± 0.128 A412, P = .034) that was abrogated in the B vitamin group (0.250 ± 0.251 vs. 0.270±0.230 A412, P = .559). Hemoglobin levels were reduced at the end of study both in the B vitamin (13.3 ± 1.3 vs. 13.7 ± 1.3, P = .012) and placebo (13.5 ± 1.2 vs. 13.8 ± 1.2, P = .055) groups.
Global cognition (MMSE score) was significantly decreased in the placebo group at the end of study (27.7 ± 2.3 vs. 28.2 ± 1.5, P = .035); this decrease was prevented by the B vitamin treatment (27.8 ± 2.2 vs. 28.1 ± 1.8, P = .267; Table S2). Measures of cognition in verbal episodic memory (HVLT‐TR and HVLT‐DR scores), attention/processing speed (Map Search and Trail Making A scores) did not differ between the end of study and baseline both in the B vitamin and placebo groups.
TICS‐m score was significantly increased both in the B vitamin (26.9 ± 5.0 vs. 24.8 ± 2.9, P = .0001) and placebo groups (26.5 ± 4.4 vs. 25.0 ± 2.7, P = .001) at the end of study (Table S3 in supporting information). However, analysis of male and female subgroups showed that the effect of B vitamin treatment on cognition (TICS‐m score) was sex‐dependent. Specifically, in the male subgroup at the end of‐study, the TICS‐m score was increased in the B vitamin–treated (26.4 ± 3.9 vs. 24.5 ± 2.8, P = .013) but not in the placebo‐treated (25.9 ± 5.3 vs. 25.2 ± 2.9, P = .445) group (Table S3). In contrast, in the female subgroup, the TICS‐m score was increased both in the B vitamin–treated (26.6 ± 4.6 vs. 24.8 ± 2.9, P = .005) and in the placebo (26.7 ± 3.5 vs. 24.8 ± 2.6, P = .0002) groups.
Multiple regression analysis for the B vitamin treatment group in models including baseline tHcy, age, sex, neuropsychological test score, and atrophy rate revealed that the treatment abrogated the associations between baseline anti‐N‐Hcy‐protein autoantibodies, attention/processing speed (Trail Making A), and global cognition (MMSE, TICS‐m) at the end of study (Table 6). B vitamin treatment also abrogated the association of atrophy rate with the Trail Making A_2 score (β = 0.09, P = .389) and mitigated the association of atrophy rate with the TICS‐m_2 score (β = –0.25, P = .029). In contrast, the association of atrophy rate with the MMSE_2 score was not affected by B vitamin treatment (β = –0.43, P = .000). The neuropsychological test scores in the B vitamin group at the end of study were still associated with the corresponding scores at baseline (Table 6).
TABLE 6.
Baseline determinants of cognition at the end of study–B vitamin group
| Multiple regression | ||||||
|---|---|---|---|---|---|---|
| MMSE_2 a Global cognition | TICS‐m_2 b Global cognition | Trail Making A_2 c Attention/processing speed | ||||
| Variable | β | P | β | P | β | P |
| Anti‐N‐Hcy_1 | 0.02 | .877 | –0.05 | .657 | 0.05 | .626 |
| Atrophy_rate_2 | –0.43 | .000 | –0.25 | .029 | 0.09 | .389 |
| MMSE_1 | 0.39 | .001 | ||||
| Trail Making A_1 | 0.59 | .000 | ||||
| TICS‐m_1 | 0.29 | .012 | ||||
| Age_1 | –0.03 | .783 | –0.24 | .025 | –0.03 | .756 |
|
1 – baseline 2 – end of study |
F = 5.99, P = .000, Adjusted R2 = 0.38 |
F = 4.19, P = .000, Adjusted R2 = 0.29 |
F = 5.48, P = .000, Adjusted R2 = 0.31 |
|||
Adjusted for age, sex, tHcy, and PON1 Q192R genotype.
Adjusted for sex, age, tHcy, and MTHFR677CT, TCN776CG, COMT V158M genotypes.
Adjusted for age, sex, tHcy, and COMT V158M genotype.
Abbreviations: Hcy, homocysteine; MMSE, Mini‐Mental State Examination; TICS‐m, Telephone Inventory for Cognitive Status modified.
3.4. Baseline anti‐N‐Hcy‐protein autoantibodies not associated with brain atrophy rate at the end of study
Previous studies have shown that tHcy is a major determinant of brain atrophy rate. 17 To determine whether anti‐N‐Hcy‐protein autoantibodies could determine brain atrophy, we carried out multiple regression analysis in models including baseline anti‐N‐Hcy‐protein autoantibodies, tHcy, age, sex, brain volume, and brain atrophy rate.
In the placebo group at the end of study, we found that anti‐N‐Hcy‐protein autoantibodies were not associated with brain atrophy rate in a model without (β = –0.02, P = .858; R2 was 0.09) or with tHcy (β = –0.03, P = .785; R2 was 0.36). However, R2 was higher in a model with baseline anti‐N‐Hcy‐protein autoantibodies (R2 = 0.36) than without (R2 = 0.25). We confirmed that baseline tHcy was strongly associated with brain atrophy (β = 0.43, P = .000; R2 was 0.25) in the placebo group, as previously reported. 17
In the B vitamin group at the end of study, baseline anti‐N‐Hcy‐protein autoantibodies were also not associated with the brain atrophy rate. The dependence of brain atrophy rate on baseline tHcy was abrogated by the B vitamin treatment (R2 = –0.01), as previously reported. 17
3.5. Determinants of anti‐N‐Hcy‐protein autoantibodies at the end of study
We also examined associations between the end‐of‐study anti‐N‐Hcy‐protein autoantibodies and other end‐of‐study variables for the B vitamin and placebo groups (Table S4 in supporting information) and for the whole cohort (Table S5 in supporting information). In bivariate analysis for the B vitamin group, hemoglobin (Hb: β = 0.28, P = .006) was significantly associated with anti‐N‐Hcy‐protein autoantibodies, while attention/processing speed (Map Search: β = 0.20, P = .055) tended to be associated (Table S4). Similar associations of anti‐N‐Hcy‐protein autoantibodies with Hb and the Map Search score were observed in multiple regression analysis in a model also involving age, sex, and Cys (P = .018; adjusted R2 was 0.09).
In bivariate analysis for the placebo group, HVLT‐TR (β = 0.20, P = .044) and TICS‐m (β = 0.26, P = .009) were significantly associated with anti‐N‐Hcy‐protein autoantibodies (Table S4). In multiple regression analysis, none of the models that included TICS‐m or HVLT‐TR, and Cys, was significant (P > .05), although TICS‐m was significant (β = 0.27, P = .013) and HVLT‐TR tended to be significant (β = 0.21, P = .052).
In multiple regression analysis for the whole cohort at the end of study, anti‐N‐Hcy‐protein autoantibodies were significantly associated with the treatment code (β = 0.29, P = .002), Hb (β = 0.31, P = .001), MMSE (β = 0.20, P = .028), and Trail Making scores (β = 0.19, P = .036); adjusted R2 was 0.12 (Table S5).
4. DISCUSSION
The present study of a well‐characterized cohort of participants with MCI provides evidence suggesting that serum anti‐N‐Hcy‐protein autoantibodies are an important factor accelerating cognitive decline. We also show that the detrimental effects of anti‐N‐Hcy‐protein autoantibodies on cognition are prevented by a treatment with B vitamins for 2 years. Specifically, we found that in the placebo group, (1) measurements of serum anti‐N‐Hcy‐protein autoantibodies at baseline allowed ascertainment of cognition in three measures at the end of study 2 years later: general or global cognition (TICS‐m and MMSE scores), attention/processing speed (Trail Making A score); (2) effects of baseline serum anti‐N‐Hcy‐protein autoantibodies on cognition were independent of tHcy; (3) baseline tHcy predicted attention/processing speed (Trail Making A score) but not global cognition (TICS‐m and MMSE scores) at the end of study; (4) baseline serum anti‐N‐Hcy‐protein autoantibodies were not associated with brain atrophy. In the B vitamin group, (5) baseline serum anti‐N‐Hcy‐protein autoantibodies were not associated with global cognition (TICS‐m and MMSE scores), or attention/processing speed (Trail Making A score) at the end of study. We also found that (6) baseline anti‐N‐Hcy‐protein autoantibodies were associated with baseline MMSE and HVLT‐TR scores while (7) the end‐of‐study anti‐N‐Hcy‐protein autoantibodies were associated with the end‐of‐study MMSE and Trail Making A scores.
The original discovery of anti‐N‐Hcy‐protein autoantibodies in a cohort of stroke patients and controls 14 suggested that these autoantibodies could affect the function of the central nervous system (CNS). This suggestion is further supported by a study in mice showing that anti‐N‐Hcy‐protein autoantibodies are elevated in a mouse model of neural tube defects. 27 The present study, showing that baseline anti‐N‐Hcy‐protein autoantibodies predict cognition in participants with MCI assessed 2 years later, adds another piece of evidence supporting the importance of these autoantibodies in the human CNS. Specifically, anti‐N‐Hcy‐protein autoantibodies predicted outcomes in attention/processing speed (Trail Making A score), global cognition (MMSE score), and global memory (TICS‐m score) but not in other more specific cognitive domains. Importantly, the present study also showed that B vitamin treatment for 2 years abrogated the negative effects of anti‐N‐Hcy‐protein autoantibodies on three measures of cognition: Trail Making A, MMSE, and TICS‐m scores.
The baseline serum anti‐N‐Hcy‐protein autoantibodies exhibited a significant inter‐individual variation in the participants (142‐fold; from 0.01 to 1.42 A492) compared to a more limited inter‐individual variation in tHcy levels (Table 1). Somewhat lower inter‐individual variation (32‐fold) has been observed in stroke, 14 coronary artery disease, 15 , 28 , 29 uremia, 30 systemic lupus erythematosus, 31 and rheumatoid arthritis, 32 human diseases also characterized by hyperhomocysteinemia.
The present findings that anti‐N‐Hcy‐protein autoantibodies predict outcomes in three cognitive tests (Trail Making A as well as MMSE and TICS‐m, which has a higher memory component than MMSE), underscores the need for identification of factors affecting the levels of anti‐N‐Hcy‐protein autoantibodies. In the present study, using multiple regression analysis, we found that stroke, two metabolic (Cys and Hb), and three neuropsychological (MMSE, HVLT‐TR, and Map Search scores) factors were associated with anti‐N‐Hcy‐protein autoantibodies at baseline (Table 2), while Hb and two measures of cognition (MMSE and Trail Making A scores) were also associated with anti‐N‐Hcy‐protein autoantibodies at the end of study (Table S5). The molecular bases of these associations are not known and remain to be investigated. As these factors explained just 12% of the variability in anti‐N‐Hcy‐protein autoantibodies, other determinants remain to be discovered. Possible candidates include genes coding for enzymes involved in the synthesis (methionyl‐tRNA synthetase, MARS) 33 and turnover (paraoxonase 1, PON1 34 ; bleomycine hydrolase, BLMH 35 ; biphenyl hydrolase like, BPHL 36 , 37 ) of Hcy‐thiolactone, which participates in the generation of N‐Hcy‐proteins, 38 which in turn induce the formation of anti‐N‐Hcy‐protein autoantibodies. 14
It should be noted that tHcy was not identified as a determinant of anti‐N‐Hcy‐protein autoantibodies in the present cohort of participants with MCI. Although surprising at first glance, this finding can be explained by factors downstream of tHcy, such as Hcy‐thiolactone‐ and/or N‐Hcy‐protein‐metabolizing enzymes or methionyl‐tRNA synthetase gene (MARS) copy number, which can influence levels of anti‐N‐Hcy‐protein autoantibodies by affecting the generation of N‐Hcy‐proteins in our cohort. Supporting this possibility are findings showing that increased MARS gene copy number elevates levels of N‐Hcy‐protein in colon cancer patients. 39 , 40 This, however, remains to be investigated in MCI in future studies.
Although anti‐N‐Hcy‐protein autoantibodies predicted cognition in the attention/processing speed (Trail Making A score) and global cognition (TICS‐m and MMSE scores) in the present study, these autoantibodies did not predict brain atrophy rate. As tHcy predicts the brain atrophy rate, these findings clearly show that each of the two variables linked to Hcy metabolism, anti‐N‐Hcy‐protein autoantibodies and tHcy, have different effects on the human CNS. It appears that anti‐N‐Hcy‐protein autoantibodies affect functional (attention/processing speed and global cognition), but not structural (brain atrophy), aspects of cognition. In contrast, tHcy affects the structural (brain atrophy) and only some functional aspects of cognition (attention/processing speed) independently of anti‐N‐Hcy‐protein autoantibodies.
In the present study, the treatment with B vitamins for 2 years abrogated effects of anti‐N‐Hcy‐protein autoantibodies on attention/processing speed (Trail Making A score) and global cognition (TICS‐m and MMSE scores). At the same time, B vitamin treatment abrogated the dependence of attention/processing speed (Trail Making A score) on the rate of brain atrophy. However, B vitamin treatment did not eliminate the dependence of global memory (TICS‐m and MMSE scores) on the rate of brain atrophy. Thus, although B vitamin treatment slows brain atrophy, it eliminates the dependence of cognition on the rate of brain atrophy only in the specific domains of attention and processing speed but not in the more general and memory‐related domains (global cognition).
Anti‐N‐Hcy‐protein autoantibodies can be beneficial by clearing damaged N‐Hcy‐proteins from the circulation. However, the autoantibodies can also be harmful when they form the antigen–autoantibody complex with N‐Hcy‐protein on the vascular endothelium, which would attract macrophages to the vascular wall. The macrophages will bind to the complex and digest it, causing damage to the vascular surface. If this process were to occur in brain vasculature, it would result in cognitive domain‐specific outcomes depending on which brain region was damaged. Such scenario could account for the present findings showing that anti‐N‐Hcy‐protein autoantibodies predict outcomes in attention/processing speed (Trail Making A score) and global cognition (MMSE and TICS‐m scores) but not in other more specific cognitive domains.
The associations between anti‐N‐Hcy‐protein autoantibodies and measures of cognition raise a question whether upstream metabolites on a pathway leading to the antibody response, such as Hcy‐thiolactone and N‐Hcy‐protein, 11 can be directly associated with cognition, independently of the antibodies. However, this interesting possibility remains to be examined in future studies.
In conclusion, our findings provide the first experimental evidence suggesting that anti‐N‐Hcy‐protein autoantibodies could play a role in the CNS by impairing cognition, independently of Hcy, in the general/memory‐related (global cognition) as well as in the specific attention/processing speed domains in individuals with MCI. These findings also support a novel concept that anti‐N‐Hcy‐protein autoantibodies are a risk factor for cognitive impairment, which can be prevented by B vitamins, thus highlighting a novel positive aspect of B vitamin treatment on the CNS.
CONFLICTS OF INTEREST
The authors declare no competing interests.
AUTHOR CONTRIBUTIONS
O. Włoczkowska quantified anti‐N‐Hcy protein autoantibodies and contributed to data analysis and writing the manuscript; J. Perła‐Kaján quantified serum PON1 activities and contributed to data analysis; A.D. Smith and H. Refsum were co‐PIs of the VITACOG trial and provided samples and data from the VITACOG database; C. de Jager was responsible for the neuropsychological testing; H. Jakubowski designed the study, analyzed the results, and wrote the manuscript. All authors have read and approved the final manuscript.
Supporting information
Supplementary information
ACKNOWLEDGMENTS
This work was supported in part by grants from the National Science Center, Poland (2016/23/B/NZ5/00573, 2018/29/B/NZ4/00771, 2019/33/B/NZ4/01760), and the American Heart Association (17GRNT32910002). The original VITACOG trial was supported by grants from the Medical Research Council and several charities (see Smith et al. 17 ). We would like to thank Prof S.M. Smith, University of Oxford, for analysis of the MRI scans to determine the rate of brain atrophy.
Włoczkowska O, Perła‐Kaján J, Smith AD, de Jager C, Refsum H, Jakubowski H. Anti‐N‐homocysteine‐protein autoantibodies are associated with impaired cognition. Alzheimer's Dement. 2021;7:ec212159. 10.1002/trc2.12159
REFERENCES
- 1. Livingston G, Sommerlad A, Orgeta V, et al. Dementia prevention, intervention, and care. Lancet. 2017;390(10113):2673‐2734. [DOI] [PubMed] [Google Scholar]
- 2. Smith AD, Refsum H. Dementia prevention by disease‐modification through nutrition. J Prev Alzheimers Dis. 2017;4(3):138‐139. [DOI] [PubMed] [Google Scholar]
- 3. Kivipelto M, Mangialasche F, Ngandu T. Lifestyle interventions to prevent cognitive impairment, dementia and Alzheimer disease. Nat Rev Neurol. 2018;14(11):653‐666. [DOI] [PubMed] [Google Scholar]
- 4. Lehtisalo J, Levalahti E, Lindstrom J, et al. Dietary changes and cognition over 2 years within a multidomain intervention trial‐The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER). Alzheimers Dement. 2019;15(3):410‐417. [DOI] [PubMed] [Google Scholar]
- 5. Gauthier S, Reisberg B, Zaudig M, et al. Mild cognitive impairment. Lancet. 2006;367(9518):1262‐1270. [DOI] [PubMed] [Google Scholar]
- 6. Graham JE, Rockwood K, Beattie BL, et al. Prevalence and severity of cognitive impairment with and without dementia in an elderly population. Lancet. 1997;349(9068):1793‐1796. [DOI] [PubMed] [Google Scholar]
- 7. Petersen RC, Roberts RO, Knopman DS, et al. Mild cognitive impairment: ten years later. Arch Neurol. 2009;66(12):1447‐1455. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Smith AD, Refsum H. Homocysteine, B Vitamins, and cognitive impairment. Annu Rev Nutr. 2016;36:211‐239. [DOI] [PubMed] [Google Scholar]
- 9. Selhub J, Jacques PF, Wilson PW, Rush D, Rosenberg IH. Vitamin status and intake as primary determinants of homocysteinemia in an elderly population. JAMA. 1993;270(22):2693‐2698. [DOI] [PubMed] [Google Scholar]
- 10. Herrmann W, Quast S, Ullrich M, Schultze H, Bodis M, Geisel J. Hyperhomocysteinemia in high‐aged subjects: relation of B‐vitamins, folic acid, renal function and the methylenetetrahydrofolate reductase mutation. Atherosclerosis. 1999;144(1):91‐101. [DOI] [PubMed] [Google Scholar]
- 11. Jakubowski H. Homocysteine modification in protein structure/function and human disease. Physiol Rev. 2019;99(1):555‐604. [DOI] [PubMed] [Google Scholar]
- 12. Jakubowski H. Protein homocysteinylation: possible mechanism underlying pathological consequences of elevated homocysteine levels. FASEB J. 1999;13(15):2277‐2283. [PubMed] [Google Scholar]
- 13. Glowacki R, Jakubowski H. Cross‐talk between Cys34 and lysine residues in human serum albumin revealed by N‐homocysteinylation. J Biol Chem. 2004;279(12):10864‐10871. [DOI] [PubMed] [Google Scholar]
- 14. Undas A, Perla J, Lacinski M, Trzeciak W, Kazmierski R, Jakubowski H. Autoantibodies against N‐homocysteinylated proteins in humans: implications for atherosclerosis. Stroke. 2004;35(6):1299‐1304. [DOI] [PubMed] [Google Scholar]
- 15. Undas A, Jankowski M, Twardowska M, Padjas A, Jakubowski H, Szczeklik A. Antibodies to N‐homocysteinylated albumin as a marker for early‐onset coronary artery disease in men. Thromb Haemost. 2005;93(2):346‐350. [DOI] [PubMed] [Google Scholar]
- 16. Petersen RC. Mild cognitive impairment as a diagnostic entity. J Intern Med. 2004;256(3):183‐194. [DOI] [PubMed] [Google Scholar]
- 17. Smith AD, Smith SM, de Jager CA, et al. Homocysteine‐lowering by B vitamins slows the rate of accelerated brain atrophy in mild cognitive impairment: a randomized controlled trial. PLoS One. 2010;5(9):e12244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Douaud G, Refsum H, de Jager CA, et al. Preventing Alzheimer's disease‐related gray matter atrophy by B‐vitamin treatment. PNAS. 2013;110(23):9523‐9528. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Folstein MF, Folstein SE, McHugh PR. Mini‐mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189‐198. [DOI] [PubMed] [Google Scholar]
- 20. Brandt J, Welsh KA, Breitner JC, Folstein MF, Helms M, Christian JC. Hereditary influences on cognitive functioning in older men. A study of 4000 twin pairs. Arch Neurol. 1993;50(6):599‐603. [DOI] [PubMed] [Google Scholar]
- 21. Brandt J. The hopkins verbal learning test: development of a new memory test with six equivalent forms. Clin Neuropsychol. 1991;5(2):125‐142. [Google Scholar]
- 22. Robertson I, Ward T, Ridgeway V, Nimmo‐Smith I. The Test of Everyday Attention. Bury St Edmunds: Thames Valley Test Company; 1994. [Google Scholar]
- 23. Lezak MD, Howieson DB, Loring DW. Neurolopsychological Assessment. New York: Oxford University Press; 1994. [Google Scholar]
- 24. de Jager CA, Oulhaj A, Jacoby R, Refsum H, Smith AD. Cognitive and clinical outcomes of homocysteine‐lowering B‐vitamin treatment in mild cognitive impairment: a randomized controlled trial. Int J Geriatr Psychiatry. 2012;27(6):592‐600. [DOI] [PubMed] [Google Scholar]
- 25. Sikora M, Lewandowska I, Kupc M, et al. Serum proteome alterations in human cystathionine beta‐synthase deficiency and ischemic stroke subtypes. Int J Mol Sci. 2019;20(12):3096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Perla‐Kajan J, Borowczyk K, Glowacki R, Nygard O, Jakubowski H. Paraoxonase 1 Q192R genotype and activity affect homocysteine thiolactone levels in humans. FASEB J. 2018;32(11):6019–6024. [DOI] [PubMed] [Google Scholar]
- 27. Denny KJ, Kelly CF, Kumar V, et al. Autoantibodies against homocysteinylated protein in a mouse model of folate deficiency‐induced neural tube defects. Birth Defects Res A Clin Mol Teratol. 2016;106(3):201‐207. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Jakubowski H. Anti‐N‐homocysteinylated protein autoantibodies and cardiovascular disease. Clin Chem Lab Med. 2005;43(10):1011‐1014. [DOI] [PubMed] [Google Scholar]
- 29. Undas A, Stepien E, Glowacki R, Tisonczyk J, Tracz W, Jakubowski H. Folic acid administration and antibodies against homocysteinylated proteins in subjects with hyperhomocysteinemia. Thromb Haemost. 2006;96(3):342‐347. [DOI] [PubMed] [Google Scholar]
- 30. Undas A, Kolarz M, Kopec G, Glowacki R, Placzkiewicz‐Jankowska E, Tracz W. Autoantibodies against N‐homocysteinylated proteins in patients on long‐term haemodialysis. Nephrol Dial Transplant. 2007;22(6):1685‐1689. [DOI] [PubMed] [Google Scholar]
- 31. Padjas A, Undas A, Swadzba J, Musial J. Antibodies to N‐homocysteinylated albumin in patients with systemic lupus erythematosus. Pol Arch Med Wewn. 2007;117(3):20‐25. [PubMed] [Google Scholar]
- 32. Nowakowska‐Plaza A, Potaczek DP, Gluszko P, Undas A. Antibodies to N‐homocysteinylated albumin and haemoglobin in patients with rheumatoid arthritis: a potential new marker of disease severity. Scand J Rheumatol. 2014;43(1):17‐21. [DOI] [PubMed] [Google Scholar]
- 33. Jakubowski H, Goldman E. Synthesis of homocysteine thiolactone by methionyl‐tRNA synthetase in cultured mammalian cells. FEBS Lett. 1993;317(3):237‐240. [DOI] [PubMed] [Google Scholar]
- 34. Jakubowski H. Calcium‐dependent human serum homocysteine thiolactone hydrolase. A protective mechanism against protein N‐homocysteinylation. J Biol Chem. 2000;275(6):3957‐3962. [DOI] [PubMed] [Google Scholar]
- 35. Zimny J, Sikora M, Guranowski A, Jakubowski H. Protective mechanisms against homocysteine toxicity: the role of bleomycin hydrolase. J Biol Chem. 2006;281(32):22485‐22492. [DOI] [PubMed] [Google Scholar]
- 36. Zimny J, Bretes E, Grygiel D, Guranowski A. Human mitochondrial homocysteine thiolactone hydrolase; overexpression and purification. Acta Biochim Pol. 2011;58 Suppl 4(Suppl 4):57. [Google Scholar]
- 37. Marsillach J, Suzuki SM, Richter RJ, et al. Human valacyclovir hydrolase/biphenyl hydrolase‐like protein is a highly efficient homocysteine thiolactonase. PLoS One. 2014;9(10):e110054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Jakubowski H. Metabolism of homocysteine thiolactone in human cell cultures. Possible mechanism for pathological consequences of elevated homocysteine levels. J Biol Chem. 1997;272(3):1935‐1942. [PubMed] [Google Scholar]
- 39. Wang D, Zhao R, Qu YY, et al. Colonic lysine homocysteinylation induced by high‐fat diet suppresses DNA damage repair. Cell Rep. 2018;25(2):398‐412 e396. [DOI] [PubMed] [Google Scholar]
- 40. Jakubowski H. Protein N‐Homocysteinylation and colorectal cancer. Trends Cancer. 2019;5(1):7‐10. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplementary information
