To the Editor: Homocysteine is a sulfur-containing metabolite of methionine that is emerging as an independent risk factor for atherosclerosis,1 arterial and venous thrombosis,2 and mortality.3 Previous studies, focusing on relatively young older people, have shown that homocysteine is higher in men and increases with age, smoking, lower vitamin B12, folate, and renal function levels.4 Recently, we studied the relationships between homocysteine levels and the clinical and laboratory measures that have been typically associated with them in younger cohorts, using a sample of 117 well-functioning, cognitively intact community-dwelling oldest-old (aged ≥ 85). The relationship between change in homocysteine over time and these same factors was also examined in the subsample for whom follow-up data were available.
Nonfasting plasma homocysteine levels were measured according to a method previously described with minor modifications.5 Vitamin B12, serum folate, serum creatinine, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, and albumin were collected using standard techniques. Glomerular filtration rate (GFR), was estimated using the Cockroft-Gault formula.6 Age, education, body mass index, and smoking information were also collected. Data on homocysteine, vitamin B12, folate, and creatinine levels were transformed using natural logarithms, to make the distributions approximately normal for statistical analysis purposes.
The means and standard deviations were 12.4 ± 3.4 µmol/L for homocysteine, 1.0 ± 0.35 mg/dL for creatinine, and 45.1 ± 12.7 mL/min for GFR. Mean age was 89.2 ± 2.8; 70.5% were female. Approximately one-third of the sample had homocysteinemia (≥ 13 µmol/L7). GFR was impaired (<80 mL/min) in every subject, and serum creatinine levels were also high (creatinine >1.4 mg/dL in 29.7% of men and >1.1 mg/dL in 22.4% of women). None of the subjects had low folate levels, and only 1.7% had low vitamin B12 levels (<200 pg/mL).
Table 1 presents the intercorrelations between homocysteine and other variables at baseline. Homocysteine was strongly correlated with creatinine and GFR but was significantly associated only with sex, with men having higher homocysteine levels (13.4 ± 4.2) than women (11.9 ± 2.8). Taking partial correlations, controlling for demographic, medical, and other laboratory measures, did not affect the associations of homocysteine with creatinine (0.63) and GFR (−0.57).
Table 1.
Hcy | Hcy_2 | B12 | Folate | Creatinine | GFR | Age | Sex | Education | BMI | TC | LDL | HDL | TG | Albumin | Smoking | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hcy | 1 | — | −0.09 | −0.08 | .34* | −.77† | 0.21 | — | — | 0.02 | −0.11 | −.05 | .05 − | −0.08 | −.01 | — |
N | 44 | 44 | 44 | 17 | 44 | 17 | 39 | 39 | 39 | 39 | 0.33 | |||||
Hcy_2 | .98‡ | 1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
N | 117 | |||||||||||||||
B12 | −.09 | −.12 | 1 | .16 | −.13 | .29 | −.27 | — | — | −.21 | .22 | −.06 | −.20 | .07 | −.03 | — |
N | 117 | 117 | 44 | 44 | 17 | 44 | 17 | 39 | 39 | 39 | 39 | 39 | ||||
Folate | −.06 | −.06 | .16 | 1 | .21 | −.33 | .05 | — | — | .19 | −0.05 | −.10 | .05 | .06 | −.14 | — |
N | 117 | 117 | 117 | 44 | 17 | 44 | 17 | 39 | 39 | 39 | 39 | 39 | ||||
Creatinine | .64‡ | .54‡ | −.13 | −.22* | 1 | −.94‡ | .38* | — | — | −.17 | −.41† | −.24 | .20 | −.21 | −.05 | — |
N | 117 | 117 | 117 | 117 | 17 | 44 | 17 | 39 | 39 | 39 | 39 | 39 | ||||
GFR | −.52‡ | −.50‡ | −.03 | .00 | −.63‡ | 1 | −.68* | — | — | .38 | .50 | .50 | .05 | −.02 | −.21 | — |
N | 55 | 55 | 55 | 55 | 55 | 17 | 17 | 16 | 16 | 16 | 16 | 16 | ||||
Age | .13 | .05 | .1 | −.28† | .17 | −.31* | 1 | — | — | −.21 | −.28 | .04 | −.23 | −.07 | .18 | — |
N | 117 | 117 | 117 | 117 | 117 | 55 | 17 | 39 | 39 | 39 | 39 | 39 | ||||
Sex | −.20* | −.08 | .14 | .13 | −.41‡ | −.17 | .001 | 1 | — | — | — | — | — | — | — | — |
N | 117 | 117 | 117 | 117 | 117 | 55 | 117 | |||||||||
Education | .03 | −.12 | .19* | .06 | .11 | −.06 | .07 | −.14 | 1 | — | — | — | — | — | — | — |
N | 117 | 117 | 117 | 117 | 117 | 55 | 117 | 117 | ||||||||
BMI | .01 | .01 | .21 | .04 | .10 | .28 | −.17 | .02 | .05 | 1 | −.33 | −.06 | .63* | −.21 | −.82† | — |
N | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 16 | 16 | 16 | 16 | 16 | ||
TC | −.02 | −.07 | .04 | −.09 | −.11 | .10 | .04 | .33† | −.09 | .23 | 1 | .30 | .24 | .29 | .43† | — |
N | 110 | 110 | 110 | 110 | 110 | 54 | 110 | 110 | 110 | 54 | 39 | 39 | 39 | 39 | ||
LDL | .06 | .02 | .01 | −.11 | .10 | .01 | −.04 | .16 | −.06 | .26 | .89‡ | 1 | −.16 | .16 | −.08 | — |
N | 111 | 111 | 111 | 111 | 111 | 55 | 111 | 111 | 111 | 55 | 110 | 39 | 39 | 39 | ||
HDL | −.17 | −.16 | .01 | .04 | −.39‡ | .19 | .09 | .43‡ | −.06 | .01 | .47‡ | .12 | 1 | −.45† | .12 | — |
N | 111 | 111 | 111 | 111 | 111 | 55 | 111 | 111 | 111 | 55 | 110 | 111 | 39 | 39 | ||
TG | .02 | −.01 | .09 | −.05 | .01 | .09 | .07 | −.04 | −.06 | .05 | .19* | .07 | −.34‡ | 1 | .20 | — |
N | 111 | 111 | 111 | 111 | 111 | .53 | 111 | 111 | 111 | 55 | 110 | 111 | 111 | 39 | ||
Albumin | .07 | .08 | −.13 | −.04 | −.12 | −.01 | −.12 | .13 | −.02 | .03 | .15 | .09 | .09 | .13 | 1 | — |
N | 111 | 111 | 111 | 111 | 111 | 55 | 111 | 111 | 111 | 55 | 110 | 111 | 111 | 111 | ||
Smoking | .02 | −.02 | −.11 | .14 | .08 | −.04 | −.13 | .07 | −.20* | .08 | .10 | .18 | −.08 | .09 | −.04 | 1 |
N | 104 | 104 | 104 | 104 | 104 | 53 | 104 | 104 | 104 | 53 | 101 | 102 | 102 | 102 | 102 |
P ≤ *.05;
.01;
.001.
Hcy_2 = homocysteinemia; GFR = glomerular filtration rate; BMI = body mass index; TC = total cholesterol; LDL = low-density lipoprotein; HDL = high-density lipoprotein; TG = triglycerides.
Of the 117 subjects, 44 had already had a second observation approximately 1 year after baseline. They were used to replicate all of the above analyses on an even older sample; results were similar. In addition, change scores were calculated; the intercorrelations between change variables are also presented in Table 1. Change in homocysteine levels was significantly associated with change in serum creatinine and GFR. Change in creatinine levels was significantly correlated with age and change in total cholesterol, but the partial correlation between change in homocysteine and change in creatinine, controlling for age and change in total cholesterol, remained significant (correlation coefficient (r) = 0.32, degrees of freedom (df) = 35, P = .05). Change in GFR was significantly correlated with age change. Partial correlation between change in homocysteine and change in GFR, controlling for change in age, also remained significant (r = −0.58, df = 14, P = .04).
These results demonstrate that in this very old sample, kidney function, assessed using serum creatinine or estimated GFR, was the main factor associated with serum homocysteine levels. Unlike findings in younger cohorts, lack of associations between homocysteine and B12 and folate may be attributable to good nutrition in this highly educated sample.
In the present study, all subjects had abnormally low GFR values. Even after controlling for many possible confounders, its association with homocysteine remained essentially unchanged. The significant longitudinal associations between changes in homocysteine levels and renal function (creatinine and GFR) confirmed these associations. Previous evidence has suggested that, as renal function declines over the years, homocysteine levels increase.8 Despite this, it is noteworthy that homocysteine levels in this oldest-old sample were comparable with those of a younger cohort with normal kidney function (n = 52; mean age = 46, homocysteine = 12, GFR = 108; unpublished data). Nevertheless, homocysteine levels in the sample in the current study were lower than those of younger patients with renal failure who had comparable GFR (mean age = 53, homocysteine = 18, GFR = 55).9 Thus in these oldest-old individuals, although the reciprocal relationship with GFR was maintained, homocysteine levels were lower than in younger populations at any level of renal function. Therefore, it may be that this “adaptation” of homocysteine levels may contribute to longer survival in these very old individuals. This is consistent with the pleiotropic antagonism hypothesis of a continuous and complex reshaping of metabolism during physiological aging, likely contributing to successful aging.10 Such reshaping may have far-reaching consequences in therapeutic intervention for the oldest-old individuals. Future studies following younger cohorts for longer periods may clarify whether metabolic changes over time provoke changes in homocysteine levels or whether the relatively normal levels in the oldest-old are characteristic of survivors.
ACKNOWLEDGMENTS
Financial Disclosure: This research was supported by National Institute on Aging Grants 1 K01 AG023515–01A2 (Dr. Beeri), P50-AG05138 (Dr. Sano), and P01-AG02219 (Dr. Haroutunian).
Sponsor’s Role: The supporting agency did not take part in any aspect of this letter.
Footnotes
Author Contributions: All of the authors contributed substantively to the conduct of the study and to the preparation of the letter.
Contributor Information
Michal Schnaider Beeri, Department of Psychiatry, Mount Sinai School of Medicine, New York, NY.
Jaime Uribarri, Dialysis Unit, Mount Sinai School of Medicine, New York, NY.
James Schmeidler, Department of Psychiatry, Department of Biomathematical Sciences, Mount Sinai School of Medicine, New York, NY.
Rachel Lally, Department of Psychiatry, Mount Sinai School of Medicine, New York, NY.
Joy Wang, Department of Psychiatry, Mount Sinai School of Medicine, New York, NY.
Hillel T. Grossman, Department of Psychiatry, Mount Sinai School of Medicine, New York, NY.
Erik Langhoff, Renal Clinic, Bronx Veteran Affairs Medical Center, Bronx, NY.
Clive Rosendorff, Department of Medicine, Bronx Veteran Affairs Medical Center, Bronx, NY.
Jeremy M. Silverman, Department of Psychiatry, Mount Sinai School of Medicine, New York, NY.
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