Homocysteine and All-Cause Mortality Risk

On a recent blood test, my plasma level of homocysteine (Hcy) was 11.9 uMol. Is that optimal minimizing disease risk and maximizing longevity? Let’s have a look at the literature.

A 2017 meta-analysis of 11 studies including 27,737 participants showed an increased risk of death from all causes (“all-cause mortality”; ACM) as circulating levels of homocysteine increase (Fan et al. 2017):

hcy acm.png

When looking at meta-analyses, it’s important to examine each of the individual studies. Here are the data for the 11 included studies:

  • Kark et al. 1999: 1,788 older adults, average age 65y, followed for 9-11 years. Compared with values less than 8.5 uMol, subjects with elevated homocysteine (> 14.7) had a 2-fold higher risk of death from all causes.
  • Bostom et al. 1999: 1,933older adults, verage age, 70y, median follow-up, 10y. Subjects with values > 14.3 uMol had 2-fold ACM risk, when compared with < 14.3.
  • Hoogeveen et al. 2000: 811 older adults (average age, 65y), 5 yr follow-up. Non- diabetics had a 34% increased ACM risk (p=0.08), but diabetics had 2.5-fold increased ACM risk after a 5-yr follow-up.
  • Vollset et al. 2001: 4,766 older adults (age range, 65-67y at study entry), median 4 yr follow-up. Compared with 5.1-8.9 uMol, values greater than 12 were significantly associated with a 2.4-4.5 increased ACM risk.
  • Acevedo et al. 2003. 3,427 subjects, average age 56y, ~3yr follow-up. ACM risk lowest for < 9.4 uMol, compared with > 14.4.
  • González et al. 2007: 215 older adults (average age, 75y), median 4 yr follow-up. Compared with < 8.7 uMol, values > 16.7 had 2.3-fold increased ACM risk.
  • Dangour et al. 2008: 853 older adults (average age, 79y), ~7.6y follow-up. Homocysteins > 19.4 uMol associated with ~2-fold higher ACM risk, when compared with < 9.8.
  • Xiu et al. 2012: 1,412 older adults (average age, ~75y), up to 10 year follow-up. 1.8-fold higher ACM risk comparing those with >14.5 uMol with < 9.3.
  • Waśkiewicz et al. 2012: 7,165 middle aged adults, ~5yr follow- up. 1.8-fold increased ACM risk for subjects with homocysteine > 10.5 uMol(average age, 52y) when compared with < 8.2 (avg age, 40y).
  • Wong et al. 2013: 4,248 older men, average age ~77y, ~5yr follow-up. 1.5-fold increased ACM risk for homocysteine values > 15 uMol.
  • Swart et al. 2012: 1,117 older adults (average age, 75y), up to a 7yr follow-up. In 543 men, homocysteine was not associated with ACM risk. In 574 women, 1.7 to 1.9-fold higher ACM risk when comparing  > 12.7 and >15.6 vs < 10.3 uMol.

Not included in their analysis:

  • Petersen et al. 2016: 670 subjects, average age 65y, average follow-up 14.5y. Subjects with homocysteine values ≥ 10.8 μmol/l  had a significant higher incidence of all-cause mortality:

hcy 2

In sum, the evidence appears consistent across these 12 studies that elevated homocysteine is associated with an increased risk of death from all causes. Based on the Fan et al. (2016) meta-analysis, lower appears better, with values < 5 uMol associated with maximally reduced ACM risk. Also based on that data, my ACM risk is ~1.5-fold increased! To reduce my homocysteine level, I’ve added 800 mcg of folic acid, bringing my already high dietary folate intake to 2000 micrograms/per day. Stay tuned to see if my homocysteine levels are reduced in a couple of weeks!

12/8/2017 update: Despite 42 days of 800 micrograms of supplemental folic acid, bringing my average daily folate intake to 2026 micrograms/day, my plasma homocysteine was essentially unchanged at 11.7 uMoL. What’s next on the list to reduce it? Trimethylglycine, also known as betaine, so stay tuned for those results in a couple of months!

If you’re interested, please have a look at my book:

 

References:

Bostom AG, Silbershatz H, Rosenberg IH, Selhub J, D’Agostino RB, Wolf PA, Jacques PF, Wilson PW. Nonfasting plasma total homocysteine levels and all-cause and cardiovascular disease mortality in elderly Framingham men and women. Arch Intern Med. 1999 May 24;159(10):1077-80.

Dangour AD, Breeze E, Clarke R, Shetty PS, Uauy R, Fletcher AE. Plasma homocysteine, but not folate or vitamin B-12, predicts mortalityin older people in the United Kingdom. J Nutr. 2008 Jun;138(6):1121-8.

Fan R, Zhang A, Zhong F. Association between Homocysteine Levels and All-cause Mortality: A Dose-Response Meta-Analysis of Prospective Studies. Sci Rep. 2017 Jul 6;7(1):4769.

González S, Huerta JM, Fernández S, Patterson AM, Lasheras C. Homocysteine increases the risk of mortality in elderly individuals. Br J Nutr. 2007 Jun;97(6):1138-43.

Hoogeveen EK, Kostense PJ, Jakobs C, Dekker JM, Nijpels G, Heine RJ, Bouter LM, Stehouwer CD. Hyperhomocysteinemia increases risk of death, especially in type 2 diabetes : 5-year follow-up of the Hoorn Study. Circulation. 2000 Apr 4;101(13):1506-11.

Kark JD, Selhub J, Adler B, Gofin J, Abramson JH, Friedman G, Rosenberg IH. Nonfasting plasma total homocysteine level and mortality in middle-aged and elderly men and women in Jerusalem. Ann Intern Med. 1999 Sep 7;131(5):321-30.

Petersen JF, Larsen BS, Sabbah M, Nielsen OW, Kumarathurai P, Sajadieh A. Long-term prognostic significance of homocysteine in middle-aged and elderly. Biomarkers. 2016 Sep;21(6):490-6.

Swart KM, van Schoor NM, Blom HJ, Smulders YM, Lips P. Homocysteine and the risk of nursing home admission and mortality in older persons. Eur J Clin Nutr. 2012 Feb;66(2):188-95.

Waśkiewicz A, Sygnowska E, Broda G. Homocysteine concentration and the risk of death in the adult Polish population. Kardiol Pol. 2012;70(9):897-902.

Wong YY, Almeida OP, McCaul KA, Yeap BB, Hankey GJ, Flicker L. Homocysteine, frailty, and all-cause mortality in older men: the health in men study. J Gerontol A Biol Sci Med Sci. 2013 May;68(5):590-8.

Vollset SE, Refsum H, Tverdal A, Nygård O, Nordrehaug JE, Tell GS, Ueland PM. Plasma total homocysteine and cardiovascular and noncardiovascular mortality: the Hordaland Homocysteine Study. Am J Clin Nutr. 2001 Jul;74(1):130-6.

 

Platelets and All-Cause Mortality Risk

Have you had a blood test and aren’t sure what values for platelets may be optimal for health? The reference range is 150-400 platelets per nanoliter (*10^9/L). Within that range, what’s optimal?

In a study of 21,635 adults older than 35y (average age wasn’t reported) with a 7.6-year follow-up, platelets between 230-270 was associated with maximally reduced risk of death from all causes (Bonaccio et al. 2016):

platets acm

In a study of 21, 252 adults (average age 53y) with an average follow-up of 3.5y, values ~250 were associated with maximally reduced risk of death from all causes Vinholt et al. (2017) :

plat2 acm

What about in older adults? In a study of 159, 746 postmenopausal women (average age, 63y) with a 16-year follow up, maximally reduced risk of death from all causes was associated with platelet values between 200-256 (Kabat et al. 2017).

In a study of 36, 262 older adults (average age, 71y) with an 11-year follow-up, platelet values ~250 were associated with maximally reduced risk for all-cause mortality. Interestingly, even at platelet values ~250, mortality risk was highest for non-Hispanic whites, when compared with non-Hispanic blacks and Hispanics (Msaouel et al. 2014):

plat ethnicity

In 5,766 older adults (average age, 73y) that were followed for 12-15 years, values higher than 200-300 had an increased risk of death from all causes (van der Bom et al 2009). Risk for values between 100-199 was not different when compared against 200-299, but there was a non-significant trend towards increased risk (1.05, 95% CI: 0.97, 1.14).

In 131,308 older adults (~73y) with a 6-yr follow-up, maximally reduced risk of death from all causes was associated with values between 200-300, whereas risk significantly increased below and above that range, respectively Tsai et al. (2015):

plat eld

In sum, the data suggests that platelet values ~250 may be optimal for heath, with 200-300 as the “optimal range” within the 150-400 reference range. What are your values?

 

If you’re interested, please have a look at my book!

 

References

Bonaccio M, Di Castelnuovo A, Costanzo S, De Curtis A, Donati MB, Cerletti C, de Gaetano G, Iacoviello L; MOLI-SANI Investigators. Age-sex-specific ranges of platelet count and all-cause mortality: prospective findings from the MOLI-SANI study. Blood. 2016 Mar 24;127(12):1614-6.

Kabat GC, Kim MY, Verma AK, Manson JE, Lin J, Lessin L, Wassertheil-Smoller S, Rohan TE. Platelet count and total and cause-specific mortality in the Women’sHealth InitiativeAnn Epidemiol. 2017 Apr;27(4):274-280.

Msaouel P, Lam AP, Gundabolu K, Chrysofakis G, Yu Y, Mantzaris I, Friedman E, Verma A. Abnormal platelet count is an independent predictor of mortality in the elderly and is influenced by ethnicityHaematologica. 2014 May;99(5):930-6.

Tsai MT, Chen YT, Lin CH, Huang TP, Tarng DC; Taiwan Geriatric Kidney Disease Research Group. U-shaped mortality curve associated with platelet count among older people: a community-based cohort study. Blood. 2015 Sep 24;126(13):1633-5.

van der Bom JG, Heckbert SR, Lumley T, Holmes CE, Cushman M, Folsom AR, Rosendaal FR, Psaty BM. Platelet count and the risk for thrombosis and death in the elderlyJ Thromb Haemost. 2009 Mar;7(3):399-405.

Vinholt PJ, Hvas AM, Frederiksen H, Bathum L, Jørgensen MK, Nybo M. Thromb Res.Platelet count is associated with cardiovascular disease, cancer and mortality: A population-based cohort study. 2016 Dec;148:136-142.

Using Diet to Optimize Circulating Biomarkers: Serum Bicarbonate

In an earlier post, I wrote about the association between biomarkers of systemic acid-base balance (serum bicarbonate, the anion gap, urinary pH) with all-cause mortality risk (https://michaellustgarten.wordpress.com/2015/08/28/serum-bicarbonate-and-anion-gap-whats-optimal/). Based on these data, systemic acidity may not be optimal for health and longevity, when compared with more alkaline values. Can circulating acid-base biomarkers be optimized through diet?

One way to optimize serum bicarbonate is with a low dietary PRAL (potential renal acid load). For a given food, PRAL is a measure of how much acid or base that the kidney will see. In subjects with normal kidney function (or with chronic kidney disease, CKD), a low dietary PRAL (alkaline-forming) is associated with high serum bicarbonate, whereas a high dietary PRAL (acid-forming) is associated with reduced serum bicarbonate (Ikizler et al. 2015):

bicarb pral

So how can we achieve a low dietary acid intake (low PRAL), with the goal of increasing serum bicarbonate? The answer is to abundantly consume foods with a low PRAL (vegetables), while minimizing foods with a high PRAL (animal products, grains). Let’s have a look at the PRAL values for several food groups (Remer and Manz, 1995):

All of the meat and meat products shown below have acid-forming, positive PRAL values:

PRAL meat

Similarly, fish have acid-forming, positive PRAL values:

fish pral

While PRAL values for milk, dairy, and eggs are generally acid-forming, there is a wider range, compared with meat and fish. For example, parmesan and cheddar cheese have high PRAL values (34.2, 26.5, respectively), whereas milk and yogurt have PRAL values ~1:

dairy pral

Grains are similar to animal products in terms of their PRAL values:

grain pral

In contrast, all of the vegetables on the list below have very low, alkaline-forming PRAL values. The All-Star for a low PRAL is spinach (-14):
veg pral

Similarly, most fruits have alkaline forming, low PRAL values. Although raisins seem to be the PRAL All-Star, their data (and all of the other foods on the list) are based on 100g (299 calories for raisins). For an equivalent amount of calories for strawberries, their PRAL equates to -20.6, which is similar to the raisin PRAL. Also included on the list are nuts, which contain a range of PRAL values from negative (hazelnuts) to positive (walnuts, peanuts):

fruit pral

What’s my dietary PRAL? To determine that, it’s first important to define the PRAL equation: PRAL = (0.49 * protein intake in g/day) + (0.037 * phosphorus intake in mg/day) – (0.02 * potassium intake in mg/day) – (0.013 * calcium intake in mg/day) – (0.027 * magnesium intake in mg/day; Remer and Manz, 1994). Using my latest 7-day average dietary data yields a very low, alkaline-forming PRAL, -121.9: (protein, 88g; phosphorus, 2038 mg; potassium, 9868 mg; calcium, 1421 mg; magnesium, 901 mg)! It’s important to note that the major contributor to my very low PRAL value comes from the potassium term. Because of my abundant vegetable intake, my potassium intake is very high, resulting in a highly alkaline PRAL. Considering that PRAL values of -40 were associated with serum bicarbonate values of ~28, my serum bicarbonate value of 31 on my last blood test (8/2015) may in part be explained by my very low dietary PRAL value, -121.9.

Another measure of dietary acid load is NEAP (net endogenous acid production). In subjects with normal (and reduced, CKD) kidney function, a high NEAP diet (acid-forming) is associated with reduced serum bicarbonate, whereas a low NEAP diet (alkaline-forming) is associated with higher serum bicarbonate values (Ikizler et al. 2015):

neap bicarb

NEAP is more easily calculated than PRAL-all you need to know are your dietary protein and potassium intakes: NEAP = (54.5 * protein intake in grams/day)/(potassium intake in mEq/day) -10.2 (Frassetto et al. 1999). To convert your daily potassium intake from mg to mEq, divide by 39.1. Using my 7-day average protein and potassium intake data yields a NEAP = (54.5 * 88)/(9868/39.1) – 10.2 = 8.8. Based on the plot above for NEAP vs. serum bicarbonate, that again puts me on the far left, which is associated with serum bicarbonate values greater than 28.

Collectively, eating more potassium-rich vegetables will reduce PRAL and NEAP, which is associated with systemic alkalinity, as measured by an elevated serum bicarbonate. Because high serum bicarbonate levels are associated with reduced all-cause mortality risk, this may be an important strategy for improving health and longevity!

If you’re interested, please have a look at my book!

References

Frassetto LA, Todd KM, Morris RJC, Sebastian A. Estimation of net endogenous noncarbonic acid production in humans from diet potassium and protein contents. Am J Clin Nutr. 1998;68:576-583.

Ikizler HO, Zelnick L, Ruzinski J, Curtin L, Utzschneider KM, Kestenbaum B, Himmelfarb J, de Boer IH. Dietary Acid Load Is Associated With Serum Bicarbonate but not Insulin Sensitivity in Chronic Kidney Disease. J Ren Nutr. 2016 Mar;26(2):93-102.

Remer T, Manz F. Estimation of the renal net acid excretion by adults consuming diets containing variable amounts of protein. Am J Clin Nutr. 1994;59:1356-1361.

Remer, T. and Manz, F. Potential renal acid load of foods and its influence on urine pH. Journal of the American Dietetic Association 1995 ;95(7), 791-797.

Total Cholesterol: What’s Optimal For Longevity?

On my latest blood test (August 2015), my total cholesterol was 127 mg/dL-is that value optimal for health and longevity?

Based on data for 1,104,294 men younger than 60y (median age, 40y) that were followed for up to 14 years (Fulks et al. 2009), my 127 mg/dL value (1 – 2.4%) puts me relatively close to maximally reduced all-cause mortality risk, which occurs at 146-158 mg/dL (5-9% on the graph below):

c hdl mort

But what about the data for men older than 60?

In a 10-year study of 2,277 older adults (average age, ~77y), total cholesterol levels less than 175 mg/dL were associated with ~2-fold higher risk of all-cause mortality, compared with values greater than 226 mg/dL (Schupf et al. 2005):

tc less 175 acm

Similarly, in a 10-year study of even older adults (median age, 89y; 724 subjects), all-cause mortality risk was significantly increased in subjects with total cholesterol values less than 193 mg/dL (dark black line below), compared with values greater than 251 mg/dL (dashed line; Weverling-Rijnsburger et al. 1997). In addition, subjects with cholesterol values greater than 251 mg/dL lived ~2 years longer than those with values less than 191 mg/dL. So higher cholesterol in very old adults…increased lifespan! Does that mean I should alter my dietary approach to increase my circulating cholesterol levels after I reach 60?

chol 89y mort.png

To address that issue, it’s important to understand why cholesterol increases during aging. One possible mechanism involves the role of cholesterol in immune defense against infectious agents (bacteria, viruses, parasites, etc.). Obviously, our immune system is supposed to eliminate these pathogens, but immune function decreases with age (Targonski et al. 2007). As a compensatory mechanism, cholesterol can protect against infectious agents. For example, LDL cholesterol binds to and partially inactivates Staphylococcus aureus (Bhakdi et al. 1983). Staphylococcus aureus infection increases during aging, as its incidence rate is ~3-fold higher in adults older than 60y, when compared with younger subjects (Laupland et al. 2008). In addition, LDL cholesterol inhibits bacterial endotoxin (Weinstock et al. 1992), whose presence in the blood increases during aging (Ghosh et al. 2015). In support of the link between circulating cholesterol with infectious agents, in the older adults of Weverling-Rijnsburger et al. (1997), cholesterol values greater than 251 mg/dL (solid black line) were associated with significantly decreased infectious disease-related mortality, when compared with values less than 193 mg/dL:

infect mort

So if we’re better able to keep infectious agents out of our blood, that would be expected to reduce the need for elevated circulating cholesterol during aging. How can we do that?

One approach involves increased dietary fiber. Fermentation of dietary fiber by gut bacteria produces short-chain fatty acids, which improve gut barrier function (Chen et al. 2013), and decrease cholesterol synthesis (Wright et al. 1990). However, older adults do not eat high-fiber diets, as values of only ~19g/day have been reported (Lustgarten et al. 2014). In contrast, dietary fiber intakes greater than only 29g/day are associated with less infectious disease (and all-cause mortality) risk (Park et al. 2011). So definitely eating at least 29g fiber/day is important, but is that amount optimal to minimize the need for elevated cholesterol during aging?

In a 2-week study of the role of dietary fiber on circulating cholesterol, subjects that ate only 10g fiber/1000 calories did not significantly reduce their baseline total cholesterol values from ~182 mg/dL (Jenkins et al. 2001). In contrast, a dietary fiber intake of 19g/1000 calories reduced baseline total cholesterol from 185 to 150 mg/dL, and subjects that ate even more fiber than that, 55g/1000 calories reduced their total cholesterol values from ~182 to 142 mg/dL, a drop that was also significantly different compared with the 19g fiber/1000 calorie group.

Collectively, these data suggest that to maximally boost gut barrier function, thereby minimizing circulating infectious agents and the need for elevated circulating cholesterol during aging, a very-high fiber-diet may be important. Accordingly, my average daily fiber intake is ~100 g/day on a 2300 calorie diet, resulting in ~43g fiber/1000 calories. Based on this, I don’t expect for my total cholesterol values to change during aging, as my gut barrier function will be optimal, and infectious agents in my blood will be minimized.

To add some specificity to this approach, 2 additional measurements may be important: serum albumin and HDL cholesterol. In agreement with the studies of Weverling-Rijnsburger et al. and Schupf et al., in a 5-year study of 4,128 older adults (average age, ~79y), those with total cholesterol values less than 160 mg/dL had significantly higher all-cause mortality risk, compared with values greater than 240 mg/dL (Volpato et al. 2001):

low tc mortl

However, when considering subjects’ albumin and HDL cholesterol levels, the differential mortality risk was abolished. Subjects that had low total cholesterol but also high (within-range) albumin and HDL had improved survival compared to the higher cholesterol groups:

adj tc mort for alb hdl

If your total cholesterol values are less than 160 mg/dL, what serum albumin and HDL values should you shoot for? As shown below, albumin levels greater than 38 g/L and HDL values greater than 47 mg/dL were associated with maximally reduced all-cause mortality risk in subjects with total cholesterol values less than 160 mg/dL (Volpato et al. 2001):

volpato

My albumin values are consistently between 46-48 g/L, but during recent measurements my HDL levels have been lower than optimal (35 mg/dL on 8/2015). The good news is that I was able to increase my HDL from 28 (7/2013 measurement) to 35 mg/dL by adding ~4 oz of fish every day! To further increase my HDL, I’ve doubled my fish oil intake (~3.3 g of combined EPA + DHA per day, from 5-9 g of cod liver oil). I’ll test the effect of this on my circulating biomarkers in a couple of months, so stay tuned!

3/23/2016 Update: Because of concerns that the pre-formed Vitamin A (that is found in cod liver oil) may negate the potential health-promoting effects of optimal Vitamin D levels (Schmutz et al. 2016), I stopped taking cod liver oil during the 3-month period that preceded my latest blood test (3/23/2016). However, I was able to increase my HDL from 35 to 53 mg/dL! I attribute this increase to the daily inclusion of ~60g/walnuts per day. In doing that, although I only replaced ~200 calories from carbohydrates with fat, lower carbohydrate diets have been shown to increase HDL (Manor et al. 2016).

Nonetheless, in terms of the all-cause mortality data that includes total cholesterol (137 mg/dL), albumin (51 g/L), and HDL (53 mg/dL), based on my latest blood test results, my risk is now maximally low!

If you’re interested, please have a look at my book!

References

Bhakdi S, Tranum-Jensen J, Utermann G, Füssle R. Binding and partial inactivation of Staphylococcus aureus alpha-toxin by human plasma low density lipoprotein. J Biol Chem. 1983 May 10;258(9):5899-904.

Chen H, Mao X, He J, Yu B, Huang Z, Yu J, Zheng P, Chen D. Dietary fibre affects intestinal mucosal barrier function and regulates intestinal bacteria in weaning piglets. Br J Nutr. 2013 Nov;110(10):1837-48.

Eaton SB, Eaton SB 3rd, Konner MJ. Paleolithic nutrition revisited: A twelve-year retrospective on its nature and implications. Eur J Clin Nutr. 1997 Apr;51(4):207-16.

Fulks M, Stout RL, Dolan VF. Association of cholesterol, LDL, HDL, cholesterol/ HDL and triglyceride with all-cause mortality in life insurance applicants. J Insur Med. 2009;41(4):244-53.

Ghosh S, Lertwattanarak R, Garduño Jde J, Galeana JJ, Li J, Zamarripa F, Lancaster JL, Mohan S, Hussey S, Musi N. Elevated muscle TLR4 expression and metabolic endotoxemia in human agingJ Gerontol A Biol Sci Med Sci. 2015 Feb;70(2):232-46.

Jenkins DJ, Kendall CW, Popovich DG, Vidgen E, Mehling CC, Vuksan V, Ransom TP, Rao AV, Rosenberg-Zand R, Tariq N, Corey P, Jones PJ, Raeini M, Story JA, Furumoto EJ, Illingworth DR, Pappu AS, Connelly PW. Effect of a very-high-fiber vegetable, fruit, and nut diet on serum lipids and colonic function. Metabolism. 2001 Apr;50(4):494-503.

Laupland KBRoss TGregson DBStaphylococcus aureus bloodstream infections: risk factors, outcomes, and the influence of methicillin resistance in Calgary, Canada, 2000-2006. J Infect Dis. 2008 Aug 1;198(3):336-43.

Lustgarten MS, Price LL, Chalé A, Fielding RA. Metabolites related to gut bacterial metabolism, peroxisome proliferator-activated receptor-alpha activation, and insulin sensitivity are associated with physical function in functionally-limited older adults. Aging Cell. 2014 Oct;13(5):918-25.

Mansoor N, Vinknes KJ, Veierød MB, Retterstøl K. Effects of low-carbohydrate diets v. low-fat diets on body weight and cardiovascular risk factors: a meta-analysis of randomised controlled trials. Br J Nutr. 2016 Feb;115(3):466-79.

Park Y, Subar AF, Hollenbeck A, Schatzkin A. Dietary fiber intake and mortality in the NIH-AARP diet and health study. Arch Intern Med. 2011 Jun 27;171(12):1061-8.

Schmutz EA, Zimmermann MB, Rohrmann S. The inverse association between serum 25-hydroxyvitamin D and mortality may be modified by vitamin A status and use of vitamin A supplements. Eur J Nutr. 2016 Feb;55(1):393-402.

Schupf N, Costa R, Luchsinger J, Tang MX, Lee JH, Mayeux R. Relationship Between Plasma Lipids and All-Cause Mortality in Nondemented Elderly. J Am Geriatr Soc. 2005 Feb;53(2):219-26.

Targonski PV, Jacobson RM, Poland GA. Immunosenescence: role and measurement in influenza vaccine response among the elderly. Vaccine. 2007 Apr 20;25(16):3066-9.

Vasto S, Scapagnini G, Rizzo C, Monastero R, Marchese A, Caruso C. Mediterranean diet and longevity in Sicily: survey in a Sicani Mountains population. Rejuvenation Res. 2012 Apr;15(2):184-8.

Volpato S, Leveille SG, Corti MC, Harris TB, Guralnik JM. The value of serum albumin and high-density lipoprotein cholesterol in defining mortality risk in older persons with low serum cholesterolJ Am Geriatr Soc. 2001 Sep;49(9):1142-7.

Weinstock C, Ullrich H, Hohe R, Berg A, Baumstark MW, Frey I, Northoff H, Flegel WA. Low density lipoproteins inhibit endotoxin activation of monocytes. Arterioscler Thromb. 1992 Mar;12(3):341-7.

Weverling-Rijnsburger AW, Blauw GJ, Lagaay AM, Knook DL, Meinders AE, Westendorp RG. Total cholesterol and risk of mortality in the oldest old. Lancet. 1997 Oct 18;350(9085):1119-23.

Wright RS, Anderson JW, Bridges SR. Propionate inhibits hepatocyte lipid synthesis. Proc Soc Exp Biol Med. 1990 Oct;195(1):26-9.

Blood Testing: What’s An Optimal Value For Triglycerides?

In terms of all-cause mortality risk, is the reference range for circulating triglycerides (TG, <150 mg/dL) optimal?

A meta-analysis of 38 studies in 360,556 subjects with a median age of 48y and a 12-year follow-up reported lowest all-cause mortality risk for subjects with TG values less than 90 mg/dL (equivalent to ~1 mmol; Liu et al. (2013)). As shown below, each successive 90 mg/dL increase was associated with a 12% higher all-cause mortality risk. A person with a value closer to the high end of the reference range, ~150 would have a ~7% increased mortality risk compared someone with a value ~90. In other words, there would be 7 more deaths per 100 total people at a TG value of 150, compared with the death rate for people with values less than 90.

tg mortal

Added importance for the association between TG values less than 90 with all-cause mortality risk come from studies of people who have lived longer than 100 years, centenarians. As shown below, triglyceride values less than 101 mg/dL have been reported in 9 of 11 centenarian studies:

tg mort

What’s my TG value? On my latest blood test (8/2015), it was 42. I’ve measured my TGs 11 times over the past 10 years-my average value for those measurements is 62. Based on the meta-analysis and centenarian data, that would put me in the lowest risk category for all-cause mortality.

tg mort

If you’re interested, please have a look at my book!

References

Arai Y, Hirose N, Yamamura K, Shimizu K, Takayama M, Ebihara Y, Osono Y. Serum insulin-like growth factor-1 in centenarians: implications of IGF-1 as a rapid turnover protein. J Gerontol A Biol Sci Med Sci. 2001 Feb;56(2):M79-82.

Baranowska B, Bik W, Baranowska-Bik A, Wolinska-Witort E, Szybinska A, Martynska L, Chmielowska M. Neuroendocrine control of metabolic homeostasis in Polish centenarians. J Physiol Pharmacol. 2006 Nov;57 Suppl 6:55-61.

Barbagallo CM, Averna MR, Frada G, Noto D, Cavera G, Notarbartolo A. Lipoprotein profile and high-density lipoproteins: subfractions distribution in centenarians. Gerontology 1998;44(2):106–10.

Bik W, Baranowska-Bik A, Wolinska-Witort E, Kalisz M, Broczek K, Mossakowska M, Baranowska B. Assessment of adiponectin and its isoforms in Polish centenarians. Exp Gerontol. 2013 Apr;48(4):401-7.

Chan YC, Suzuki M, Yamamoto S. Dietary, anthropometric, hematological and biochemical assessment of the nutritional status of centenarians and elderly people in Okinawa, Japan. J Am Coll Nutr. 1997 Jun;16(3):229-35.

Chan YC, Suzuki M, Yamamoto S. A comparison of anthropometry, biochemical variables and plasma amino acids among centenarians, elderly and young subjects. J Am Coll Nutr. 1999 Aug;18(4):358-65.

Liu J, Zeng FF, Liu ZM, Zhang CX, Ling WH, Chen YM. Effects of blood triglycerides on cardiovascular and all-cause mortality: a systematic review and meta-analysis of 61 prospective studies. Lipids Health Dis. 2013 Oct 29;12:159.

Magri F, Muzzoni B, Cravello L, Fioravanti M, Busconi L, Camozzi D, Vignati G, Ferrari E. Thyroid function in physiological aging and in centenarians: possible relationships with some nutritional markers. Metabolism. 2002 Jan;51(1):105-9.

Paolisso G, Ammendola S, Del Buono A, Gambardella A, Riondino M, Tagliamonte MR, Rizzo MR, Carella C, Varricchio M. Serum levels of insulin-like growth factor-I (IGF-I) and IGF-binding protein-3 in healthy centenarians: relationship with plasma leptin and lipid concentrations, insulin action, and cognitive function. J Clin Endocrinol Metab. 1997 Jul;82(7):2204-9.

Thillet J, Doucet C, Chapman J, Herbeth B, Cohen D, Faure-Delanef L. Elevated lipoprotein(a) levels and small apo(a) isoforms are compatible with longevity: evidence from a large population of French centenarians. Atherosclerosis 1998;136:389–94.

Vasto S, Scapagnini G, Rizzo C, Monastero R, Marchese A, Caruso C. Mediterranean diet and longevity in Sicily: survey in a Sicani Mountains population. Rejuvenation Res. 2012 Apr;15(2):184-8.

Willcox DC, Willcox BJ, Wang NC, He Q, Rosenbaum M, Suzuki M. Life at the extreme limit: phenotypic characteristics of supercentenarians in Okinawa. J Gerontol A Biol Sci Med Sci. 2008 Nov;63(11):1201-8.

Interpreting Blood Test Results (Serum Bicarbonate, Anion Gap): What’s Optimal For Health?

My approach to optimizing health and potentially lifespan includes daily nutrient tracking and yearly blood testing. Once you get your blood test results back from the doctor, are your values optimal if you’re within the reference range? This article will examine the “optimal range” for 2 of these measurements, serum bicarbonate and the anion gap.

What does serum bicarbonate measure? The amount of bicarbonate in the blood is indicative of dietary acid load (Adeva and Souto 2011), systemic metabolism, lung and kidney function. First, a diet rich in animal products and grains (acid-forming), and poor in fruits and vegetables (base-forming) can induce a state of metabolic acidosis (Sebastian et al. 2001). Similarly, cellular metabolism produces carbon dioxide (CO2), a gas that is an acid. The lungs and kidneys act to remove systemic increases in acid load: CO2 reacts with water to form bicarbonate (H2CO3-), where it travels to the lung for excretion by exhaling it as CO2. The kidneys decrease acid (whether from the diet or metabolism) by removing protons (H+) from the blood, followed by urinating the acid out of the body, and also by producing bicarbonate. In sum, serum bicarbonate is a measure of acid load: from the diet, by your body’s ability to produce it, by your kidney’s ability to buffer it, and by your lungs ability to remove it.

Low serum bicarbonate is indicative of increased systemic acidity, whereas a high serum bicarbonate indicates systemic alkalinity. If systemic acidity is high, bicarbonate will be consumed to neutralize the acid, thereby decreasing serum bicarbonate. Assuming that bicarbonate is not being consumed in the diet (via fruits and vegetables), the kidney would have to then produce bicarbonate to make up for the increase in bicarbonate consumption.

The anion gap is a second indicator of systemic acid/base balance. It is a measure of the positively and negatively charged ions in blood, and includes serum bicarbonate. It is calculated by adding the serum concentrations of sodium (Na) and potassium (K), while subtracting chloride (Cl-) and bicarbonate (HCO3-):

Anion gap = ( [Na+] + [K+] ) − ( [Cl−] + [HCO3−] )

A high anion gap is indicative of systemic acidity whereas a low value is indicative of alkalinity.

The reference range for serum bicarbonate and the anion gap are 20-30 and 5-18 mEq/L. On my latest blood test (8/2015) my values were 31 and 6, respectively…Are these values optimal for health?

First, as shown below, decreased serum bicarbonate values are associated with increased risk for future physical function limitation (Yenchek et al. 2014). In a study of 1544 overweight (BMI ~27 kg/m2) older adults (average age, ~75 years) with a median follow-up of ~4 years, acidic serum bicarbonate values (less than 25.9) had an increased risk for future functional limitation, when compared with subjects with more alkaline values (greater than 26). It is important to note that age-related decreased kidney function leads to an inability to produce bicarbonate, thereby decreasing serum bicarbonate. However, after adjusting for the presence or absence of subjects with chronic kidney disease (CKD), the association between a more acidic serum bicarbonate value with future functional limitation remained. In other words, poor kidney function was not driving the effect of acidosis on risk for future functional limitation.

funct lim

In a larger study that included 31,590 subjects with average age of ~50 years, an average BMI <25 kg/m2, and a median follow up ~8 years, a serum bicarbonate value < 26, compared with 31, had a 46% significantly increased all-cause mortality risk (see below; Park et al. 2015). For the anion gap, although mortality risk was increased at values > 11, compared with less than 6, this finding was not statistically significant. Nonetheless a trend for increased mortality risk with a more acidic value for the anion gap was present. In addition, although urine pH is not generally measured when you get a yearly physical, it’s an easy (just pee in a cup!) and inexpensive way to see if you’re peeing out more acid or base. In the figure below, we see that with urinating out more base (pH >8.0) as the reference, peeing out more acid (pH <7.5) is associated with a ~250% increased mortality risk! Assuming you have properly functioning kidneys, urinating more base will happen if your diet is rich in alkaline-rich foods, like vegetables. In contrast, a high meat and grains-based diet will lead to urinating out more acid.

bicarb anion gap urine ph

In contrast to these data, shown below are the findings of Raphael et al. 2013, who found no association between serum bicarbonate with mortality risk. In that study, 15,836 overweight (the BMI range average was from 26-29) subjects with an average age ~43 years were followed for ~9 years. Although an acidic serum bicarbonate value (<22, compared with 26-30 as the reference) was associated with a 75% increased all-cause mortality risk, when excluding subjects with CKD from the analysis, that association was no longer statistically significant. However, it is important to note a similar trend (albeit non-significant) of association between acidic serum bicarbonate values with an increased mortality risk was present in those that did not have CKD.

stud2

Further support for alkaline values for serum bicarbonate or the anion gap being beneficial for health is shown below. A low anion gap (after adjusting for serum albumin) was associated with better survival with a more alkaline value (<10.5), when compared with acidic values (>10.5) in 862 normal weight (BMI ~24) elderly (average age ~74y), during a 5-year follow up (Ahn et al. 2014). Included in the improved survival rate were decreases in cardiovascular disease and infection-related mortality.

ag mort

One criticism of this data is that these associations are in older adults, and that age-related decreases in kidney function may lead to an inability to produce bicarbonate, thereby increasing the anion gap. In disagreement with that critique, young subjects (age range, 20-49 years) with low serum bicarbonate and an elevated anion gap (which together suggest systemic acidosis) were significantly more likely to have decreased cardiorespiratory fitness (VO2 max) (Abramowitz et al. 2012).

Collectively, based on these data it looks like my serum bicarbonate (31) and anion gap (6) values are close to optimal for health and longevity. If your values are not close to optimal, can they be improved? Yes! Increasing fruit and vegetable (F&V) intake has been shown to increase serum bicarbonate (Goraya et al. 2013). Because bicarbonate is a component of calculating the anion gap, an increase in fruit and vegetable intake would be expected to also decrease the anion gap (although I couldn’t find any studies that have tried to use F&V to reduce it).

If you’re interested, please have a look at my book!

References

Abramowitz MK, Hostetter TH, Melamed ML. Lower serum bicarbonate and a higher anion gap are associated with lower cardiorespiratory fitness in young adults. Kidney Int. 2012 May;81(10):1033-42.

Adeva MM, Souto G. Diet-induced metabolic acidosis. Clin Nutr. 2011 Aug;30(4):416-21.

Ahn SY, Ryu J, Baek SH, Han JW, Lee JH, Ahn S, Kim KI, Chin HJ, Na KY, Chae DW, Kim KW, Kim S. Serum anion gap is predictive of mortality in an elderly population. Exp Gerontol. 2014 Feb;50:122-7.

Goraya N, Simoni J, Jo CH, Wesson DE. A comparison of treating metabolic acidosis in CKD stage 4 hypertensive kidney disease with fruits and vegetables or sodium bicarbonate. Clin J Am Soc Nephrol. 2013 Mar;8(3):371-81.

Park M, Jung SJ, Yoon S, Yun JM, Yoon HJ. Association between the markers of metabolic acid load and higher all-cause and cardiovascular mortality in a general population with preserved renal function. Hypertens Res. 2015 Jun;38(6):433-8.

Raphael KL, Zhang Y, Wei G, Greene T, Cheung AK, Beddhu S. Serum bicarbonate and mortality in adults in NHANES III. Nephrol Dial Transplant. 2013 May;28(5):1207-13.

Sebastian A, Frassetto LA, Sellmeyer DE, Merriam RL, Morris RC Jr. Estimation of the net acid load of the diet of ancestral preagricultural Homo sapiens and their hominid ancestors. Am J Clin Nutr. 2002 Dec;76(6):1308-16.

Circulating Liver Enzymes: AST and ALT, What’s Optimal For Health?

Two blood markers of liver health are aspartate aminotransaminase (AST) and alanine aminotransaminase (ALT). AST and ALT are proteins that are usually found inside liver cells, but when there is liver cell damage, they’re released into the blood. It’s important to note that these proteins can also be elevated in the blood because of muscle damage. The reference range for AST is 10-40 U/L, and 7-56 U/Lfor ALT, but are these values optimal for health and longevity?

In a meta-analysis that included ~9 million adults (average age, 51y) that were followed for up to 20 years, Kunutsor et al. (2014) reported the association between AST and ALT with all-cause mortality risk. For AST (4 studies, 9,046,609 subjects), 10-15 U/L was associated with maximally reduced all-cause mortality risk:

ast acm.png

For ALT (8 studies, 9,087,436 subjects), 12-15 U/L was associated with maximally reduced all-cause mortality risk:

alt acm

While these studies are relevant for middle-aged adults between ~50-70y, what about at older ages? Shown below are the AST and ALT values for adults older than 100 years (centenarians):

ast alt cent.png

Interestingly, the centenarians’ AST and ALT values are not far from the meta-analysis data for middle-aged adults. For example, the centenarians’ AST values range from 17-23, and their ALT values from 9-14.

What are my my AST and ALT values? As shown below, I’ve measured them 9 times in the past 10 years. Based on the all-cause mortality and centenarian data my AST and ALT values are too high!

my ast alt

What am I doing to reduce my AST and ALT? Fructose is metabolized by the liver, where high amounts can increase liver cell damage, resulting in increased circulating AST and ALT (Le et al. 2009, Perez-Pozo et al. 2010). Therefore, I’ve reduced my total dietary fructose intake from ~16-18% during the 3 months prior to my last blood test (August, 2015), to ~11-14%. I plan on retesting within the next 2 months, to see if this approach works!

3/23/2016 Update: My average daily fructose intake, expressed as a percentage of total calories, for the 3-month period before my August 2015 blood test was 15.9%. During the 3-month period before my latest blood test (3/2016), my average daily fructose intake was 12.9%. Although a 3% decrease doesn’t seem like much, the difference between these 2 values is highly statistically significant (p value = 7.5E-12). Nonetheless, my liver enzymes didn’t change, with AST and ALT values of 28 and 30, respectively.

My next attempt to reduce my liver enzymes involves reducing my daily green tea intake.  High doses of green tea have been shown to negatively affect the liver (Mazzanti et al. 2009). I currently drink ~6 cups of green tea per day, which may be too much. To test that hypothesis, I’ll reduce my daily green tea to 4 cups/day, and retest my liver enzymes in a few months.

12/8/2018 Update: Since 3/2016, I’ve tested my blood 7 times, and on each measurement, my ALT and AST were both still in the mid 30’s (or higher!). The green tea reduction experiment didn’t work, nor did ~30g of milk thistle seeds/day for 30+ days, nor did reducing my fructose intake to ~9% of total calories. Because I’ve tracked my nutrition in concordance with blood testing, I can look at which nutrients correlate with my liver enzymes, and reduce/increase certain foods that may impact them. Interestingly, my dietary niacin levels, which average 41 mg/day were strongly correlated with my liver enzymes (r = 0.7, R^2=0.49747):

Note that the RDA for niacin is ~15 mg/day for males, and my average niacin intake in more than 2-fold higher than that! This may be a case where higher than the RDA is not optimal for health. Niacin in high doses, albeit in grams, not milligrams, is well known to induce liver damage, so isn’t it possible that my 2-fold higher than the RDA niacin intake is inducing liver damage? Sometime in January, I’ll retest my liver enzymes (and everything else, of course) while reducing my dietary niacin intake from the low 40’s to the low 30’s. As I’ve mentioned in previous posts, I eat lots of mushrooms, around 300 grams at a time, which supply around 11 mg of niacin. That’s atop the list to reduce my niacin intake. Stay tuned for the data!

If you’re interested, please have a look at my book!

References

Arai Y, Takayama M, Gondo Y, Inagaki H, Yamamura K, Nakazawa S, Kojima T, Ebihara Y, Shimizu K, Masui Y, Kitagawa K, Takebayashi T, Hirose N. Adipose endocrine function, insulin-like growth factor-1 axis, and exceptional survival beyond 100 years of age. J Gerontol A Biol Sci Med Sci. 2008 Nov;63(11):1209-18.

Davey A, Lele U, Elias MF, Dore GA, Siegler IC, Johnson MA, Hausman DB, Tenover JL, Poon LW; Georgia Centenarian Study. Diabetes mellitus in centenarians. J Am Geriatr Soc. 2012 Mar;60(3):468-73.

Kunutsor SK, Apekey TA, Seddoh D, Walley J. Liver enzymes and risk of all-cause mortality in general populations: a systematic review and meta-analysis. Int J Epidemiol. 2014 Feb;43(1):187-201.

Lê KA, Ith M, Kreis R, Faeh D, Bortolotti M, Tran C, Boesch C, Tappy L. Fructose overconsumption causes dyslipidemia and ectopic lipid deposition in healthy subjects with and without a family history of type 2 diabetes. Am J Clin Nutr. 2009 Jun;89(6):1760-5.

Lio D, Malaguarnera M, Maugeri D, Ferlito L, Bennati E, Scola L, Motta M, Caruso C. Laboratory parameters in centenarians of Italian ancestry. Exp Gerontol. 2008 Feb;43(2):119-22.

Mazzanti G, Menniti-Ippolito F, Moro PA, Cassetti F, Raschetti R, Santuccio C, Mastrangelo S. Hepatotoxicity from green tea: a review of the literature and two unpublished cases. Eur J Clin Pharmacol. 2009 Apr;65(4):331-41.

Perez-Pozo SE, Schold J, Nakagawa T, Sánchez-Lozada LG, Johnson RJ, Lillo JL. Excessive fructose intake induces the features of metabolic syndrome in healthy adult men: role of uric acid in the hypertensive response. Int J Obes (Lond). 2010 Mar;34(3):454-61.

Willcox DC, Willcox BJ, Wang NC, He Q, Rosenbaum M, Suzuki M. Life at the extreme limit: phenotypic characteristics of supercentenarians in OkinawaJ Gerontol A Biol Sci Med Sci. 2008 Nov;63(11):1201-8.

Vasto S, Scapagnini G, Rizzo C, Monastero R, Marchese A, Caruso C. Mediterranean diet and longevity in Sicily: survey in a Sicani Mountains population. Rejuvenation Res. 2012 Apr;15(2):184-8.

Blood testing: What’s optimal for WBC levels?

My approach towards optimal health involves yearly blood testing and tracking my results to catch changes before they become problematic. In this article, I will evaluate the published literature to propose an optimal range for circulating white blood cells (WBC).

Why is measuring WBCs important? Briefly, circulating WBCs are correlated with inflammation- inflammation increases during aging, is associated with decreased function of multiple organ systems, and is associated with an increased chronic disease risk (Cevenini et al. 2013).

As shown below, Huang et al. (2007) reported significant correlations between circulating WBCs with a marker of inflammation, C-reactive protein (CRP). This correlation was statistically significant in the whole population (14,114 subjects), in subjects older than or less than 50 years, and separately in men and women.

crp wbc

Based on that data, Huang et al. (2007) suggested changing the reference range (8 years ago!) for WBCs from 4-11 to 3.11-8.83 K/mm3. But within that range, what’s optimal for health and longevity? Because WBC are elevated in association with inflammation, the hypothesis would be that the lower end of the range is better, with values ~4 being optimal. Is this true?

Several studies have reported that WBC values greater than 5 are associated with an increased all-cause mortality risk (Ahmadi-Abhari et al. 2013, Samet et al. 2005, Weijenberg et al. 1996). However, the best evidence for the association between WBCs with mortality risk comes from the Baltimore Longitudinal Study on Aging (BLSA), which studied 2803 men and women over a period of 44 years (Ruggiero et al. 2007). As shown below, subjects that had circulating WBC between 3.5 and 6 had decreased mortality risk, whereas below 3.5, between 6-10, and 10+ each had successively higher risk. The 0.5 point on the y-axis of the curve (survival) is defined as 50% mortality, where half of the study subjects have died. At that point, compared with subjects with WBC values between 6-10, people with values between 3.5 and 6 live ~7 years longer! So getting your WBC into that range may be a big deal for living significantly longer.

wbc ferr

How can you reduce circulating WBCs? One way to reduce WBCs is to eat less calories, thereby reducing your body weight. As shown below, eating less calories resulted in decreased BMI and decreased WBCs in the Biosphere II project (Walford et al. 2002), almost exactly in the same pattern:

cr bmi

WBC Biosphere

Because calorie restriction reduced WBCs from ~6.8 to 4.6, should 4.6 be considered optimal? In support of this idea, calorie restriction is well documented to increase lifespan in a variety of organisms, including flies, worms, and rodents. Although there isn’t any evidence on the long-term effects of calorie restriction (CR) on lifespan in people, it has been shown to be protective against age-related diseases, including abdominal obesity, diabetes, hypertension, and cardiovascular disease (Omodei and Fontana 2011). Therefore, a reduced WBC level may be related to the positive health-related effects of CR. 

As an argument against using the CR-mediated reduction in WBC as a guide for what the optimal range should be, calorically restricted mice have decreased infection-related survival (Goldberg et al. 2015):

cr survival

However, it’s important to note that infection-related survival was decreased in adult CR mice that were 40% restricted in terms of daily calories. Based on the Biosphere 2 data above, BMI was reduced from ~23 to 19, which translates into an ~18% reduction in BMI. However, whether 18% CR is better for improving infection-related survival compared with 40% CR is currently unknown.

What’s my WBC level? My lowest WBC value was in 2008, at 3.9. In 4 measurements from 2008-2013 my WBC increased to 4.4, 4.6, 5.7, and 5.9. However, in my most recent blood test, they’re back down to 4.4. I have 2 possible explanations for reducing my age-related increase in WBCs. First, my body weight weight is ~10 lbs less since last year,  and my 100g+ fiber diet may improve gut barrier function to keep bacteria and other stuff out of my blood that shouldn’t be there, thereby decreasing my systemic immune response.

wbc

My recent 4.4 WBC value puts me close to the CR-value (4.6), and within the optimal 3.5-6 range identified in the BLSA study. So far so good! Stay tuned for the data next year to see if my WBCs remain low or start to rise again.

If you’re interested, please have a look at my book!

References

Ahmadi-Abhari S, Luben RN, Wareham NJ, Khaw KT. Seventeen year risk of all-cause and cause-specific mortality associated with C-reactive proteinfibrinogen and leukocyte count in men and women: the EPIC-Norfolk studyEur J Epidemiol. 2013 Jul;28(7):541-50.

Cevenini E, Caruso C, Candore G, Capri M, Nuzzo D, Duro G, Rizzo C, Colonna-Romano G, Lio D, Di Carlo D, Palmas MG, Scurti M, Pini E, Franceschi C, Vasto S. Age-related inflammation: the contribution of different organs, tissues and systems. How to face it for therapeutic approaches. Curr Pharm Des. 2010;16(6):609-18.

Goldberg EL, Romero-Aleshire MJ, Renkema KR, Ventevogel MS, Chew WM, Uhrlaub JL, Smithey MJ, Limesand KH, Sempowski GD, Brooks HL, Nikolich-Žugich J. Lifespan-extending caloric restriction or mTOR inhibition impair adaptive immunity of old mice by distinct mechanisms. Aging Cell. 2015 Feb;14(1):130-8.

Huang ZS, Lo SC, Tsay W, Hsu KL, Chiang FT. Revision in referene ranges of peripheral total leukocyte count and differential leukocyte percentages based on a normal serum C-reactive protein level. J Formos Med Assoc. 2007 Aug;106(8):608-16.

Jee SH, Park JY, Kim HS, Lee TY, Samet JM. White blood cell count and risk for all-causecardiovascular, and cancer mortality in a cohort of KoreansAm J Epidemiol. 2005 Dec 1;162(11):1062-9.

Omodei D, Fontana L. Calorie restriction and prevention of age-associated chronic diseaseFEBS Lett. 2011 Jun 6;585(11):1537-42.

Ruggiero C, Metter EJ, Cherubini A, Maggio M, Sen R, Najjar SS, Windham GB, Ble A, Senin U, Ferrucci L. White blood cell count and mortality in the Baltimore Longitudinal Study of AgingJ Am Coll Cardiol. 2007 May 8;49(18):1841-50.

Walford RL, Mock D, Verdery R, MacCallum T. Calorie restriction in biosphere 2: alterations in physiologic, hematologic, hormonal, and biochemical parameters in humans restricted for a 2-year period. J Gerontol A Biol Sci Med Sci. 2002 Jun;57(6):B211-24.

Weijenberg MP, Feskens EJ, Kromhout D. White blood cell count and the risk of coronary heart disease and all-cause mortality in elderly menArterioscler Thromb Vasc Biol. 1996 Apr;16(4):499-503.