243 replies to this topic

[Michael Lustgarten]

No, because my circulating levels of albumin are correlated with a higher intake of beta-carotene (see https://youtu.be/Hvk1wvDmlms?t=396). So I purposefully eat a lot of carrots and spinach!

 

Edited by Michael Lustgarten, 28 April 2021 - 11:40 PM.

[Lady4T]

No, because my circulating levels of albumin are correlated with a higher intake of beta-carotene (see https://youtu.be/Hvk1wvDmlms?t=396). So I purposefully eat a lot of carrots and spinach!

 

How about eggs?

 

"A raw U.S. large egg contains around 33 grams of egg white with 3.6 grams of protein,. . . "  "Ovalbumin is the most abundant protein in albumen."

https://en.wikipedia.../wiki/Egg_white

 

According to that, one large egg contains around 54% ovalbumin (about 1.9 grams).

Does eating more eggs help increase serum albumin?

Edited by Lady4T, 29 April 2021 - 05:53 AM.

[Michael Lustgarten]

Yes, I'm familiar-I've tracked my daily food intake since 2018, and I have 14 blood tests during that period. In that data, egg intake is not correlated with blood levels of albumin (r = 0.02, p=0.95). One reason may be because albumin is a large protein that is digested into its constituent amino acids prior to absorption. Then, it would be up to the liver to reassemble it into albumin, which would seem to be problematic because blood levels of albumin decrease during aging. Nonetheless, other mechanisms seem to be involved (for me), but we all may respond differently, and I'd encourage giving eggs a try to see if it works.

[Michael Lustgarten]

Here are the results of my 2nd blood test in 2021:
 

https://www.youtube....h?v=G5zXa4DLvjY

[albedo]

Here are the results of my 2nd blood test in 2021:
 

https://www.youtube....h?v=G5zXa4DLvjY

 

Thank you Michael !

 

Two comments/questions:

1. I am not sure about when you say the max BA reduction is about 20 years. Why?
2. The 3.7x increase in hs-CRP in the 2^nd measurement in 2021 might simply mean your body is working against a sub-clinical infection. What is your average hs-CRP since you start measuring it? The increase might be resolving soon. I would be cautious on conclusions after the MUFA test (what will you be increasing? – sound was not clear)

 

 

[Michael Lustgarten]

 

Thank you Michael !

 

Two comments/questions:

1. I am not sure about when you say the max BA reduction is about 20 years. Why?
2. The 3.7x increase in hs-CRP in the 2^nd measurement in 2021 might simply mean your body is working against a sub-clinical infection. What is your average hs-CRP since you start measuring it? The increase might be resolving soon. I would be cautious on conclusions after the MUFA test (what will you be increasing? – sound was not clear)

 

 

Thanks albedo. If you plug in your data to Levine's test, then change your chronological age, you'll see that the maximal biological age reduction is ~20y. So even if you're 80 with youthful biomarkers, at best you're 60. To me, that doesn't add up.

 

I agree about sub-clinical infection. However, my previous blood test was 0.27, and I've been in the 0.2 - 0.3 range, so I'd like to identify the variables that keep me there, rather than at my ~0.5 mg/L average since 2018. To increase MUFA intake, I'll increase my almond and cashew intake, which are mostly MUFA-containing nuts.

[albedo]

Thanks albedo. If you plug in your data to Levine's test, then change your chronological age, you'll see that the maximal biological age reduction is ~20y. So even if you're 80 with youthful biomarkers, at best you're 60. To me, that doesn't add up.

 

I agree about sub-clinical infection. However, my previous blood test was 0.27, and I've been in the 0.2 - 0.3 range, so I'd like to identify the variables that keep me there, rather than at my ~0.5 mg/L average since 2018. To increase MUFA intake, I'll increase my almond and cashew intake, which are mostly MUFA-containing nuts.

 

1. Thanks, I understand. It is why I am a bit skeptic on the BA number: it is a guideline but fundamentally it is just a mean to convert in years a (10 years) mortality risk using Gompertz's law.  I rather like the approach you are having of taking all those 9 biomarkers, themselves emerging from stringent statistical methods when regressing on cross sectional large population data, and then optimize against ACM.

 

2. hs-CRP is highly important and I am eager to know the results of your tests.

 

 

[albedo]

To be short I just point here to a couple of comments I made into another interesting forum thread (age reversal network) in case you follow that too:

https://forum.age-re...dna-methylation

[resting]

Just had my MUHDO Epigenetic results.   FYI

 

Chronological age 56  vs Biological Age 45.3

 

Should be lower but last 18 months been problematic due to Sars2 etc.

I had  practiced hormesis and OMAD + Daily 20m @ 80c  in  sauna for 2 years + swimming.  The results also show massive inflammation (probably due to time sample was given).

 

All the general supplements and experiments with (you may find posts relating).   Grandfather was 100 years when died. (Intensionally)  Father  83 (diagnosed and treated from age of  68 Prostate / health care maintenance issues due to Sars2 ... did not have virus). NMN + LIPO supplements.  Getting back to some form of better health now so will be back to sauna / swimming which is the only component missing at the moment).

 

 

 

[johnhemming]

I thought I would try out one of the online services that claim to offer EpiGenetic age testing.

I picked this one

https://epi-age.com/

Which is this company

HKG Epitherapeutics - Hong Kong Unit 119, 1/F Biotech Centre 2, 11 Science Park West Avenue Hong Kong Science Park, Shatin, NT, Hong Kong, HK,

https://www.hkgepitherapeutics.com

(+852) 2354 8297

info@hkgepitherapeutics.com

This is an area where I would really like to have the Horvath test, but as a second option I have picked one of the online tests.  I would not pick a test which required my chronological age and the above didn't.

It prices at USD199.

I don't remember precisely when I ordered the kit, but it arrived and I did the test and sent it off (which is spitting into a test tube) on 3rd December 2021.  I posted it to Hong Kong using a tracker.

I was mildy nervous that their app said they had received the package almost immediately when the tracker said it did not arrive until 12th December.   However, they emailed me overnight that the test was done on 30th December.   If they are queueing up tests I would not complain.  It implies they are doing well in terms of demand and 3 weeks is not the end of the world in terms of processing delay.

The resultant EpiAge is 56.21 my actual chronological age is  61.79 and they say this Epi Age correlates to an age of 52.24.

I don't think the correlation means anything it would depend in part on what age people say they are when they contact them and you are not required to submit an age. Sadly this is my first test result so I don't have anything to compare against.  I think I will try them out again probably at the half year although I am also interested in using any other online test that people recommend as being of some meaning.

I am also tracking a number of other things which are easy to measure such as high frequency hearing loss, grip strength etc.  However, it is all a bit erratic really as I have not got much in terms of a baseline.

In terms of visual changes I have publicly what is on my (and someone else's) twitter account

https://twitter.com/...678861457432583

https://twitter.com/...381767866441728

and

https://twitter.com/...356229509660672

[albedo]

A recent review:

 

Xian Xia, Yiyang Wang, Zhengqing Yu, Jiawei Chen, Jing-Dong J. Han,
Assessing the rate of aging to monitor aging itself
https://doi.org/10.1...arr.2021.101350.

 

Abstract: Healthy aging is the prime goal of aging research and interventions. Healthy aging or not can be quantified by biological aging rates estimated by aging clocks. Generation and accumulation of large scale high-dimensional biological data together with maturation of artificial intelligence among other machine learning techniques, have enabled and spurred the rapid development of various aging rate estimators (aging clocks). Here we review the data sources and compare the algorithms of recent human aging clocks, and the applications of these clocks in both researches and daily life. We envision that not only more and multiscale data on cross-sectional data will add momentum to the aging clock development, new longitudinal and interventional data will further raise the aging clock development to the next level to be trained by true biological age such as morbidity and mortality age.

[albedo]

Just learning about iAGE clock, CXCL9 and role of inflammation:

 

(The CXCL9 is one of the chemokine which plays role to induce chemotaxis, promote differentiation and multiplication of leukocytes, and cause tissue extravasation. The CXCL9/CXCR3 receptor regulates immune cell migration, differentiation, and activation.) (wiki)

 

"While many diseases of aging have been linked to the immunological system, immune metrics capable of identifying the most at-risk individuals are lacking. From the blood immunome of 1,001 individuals aged 8–96 years, we developed a deep-learning method based on patterns of systemic age-related inflammation. The resulting inflammatory clock of aging (iAge) tracked with multimorbidity, immunosenescence, frailty and cardiovascular aging, and is also associated with exceptional longevity in centenarians. The strongest contributor to iAge was the chemokine CXCL9, which was involved in cardiac aging, adverse cardiac remodeling and poor vascular function. Furthermore, aging endothelial cells in human and mice show loss of function, cellular senescence and hallmark phenotypes of arterial stiffness, all of which are reversed by silencing CXCL9. In conclusion, we identify a key role of CXCL9 in age-related chronic inflammation and derive a metric for multimorbidity that can be utilized for the early detection of age-related clinical phenotypes."

 

Sayed, N., Huang, Y., Nguyen, K. et al. An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging. Nat Aging 1, 598–615 (2021). https://doi.org/10.1...587-021-00082-y

 

[albedo]

Just learning about iAGE clock, CXCL9 and role of inflammation:

 

nice summary of other "clocks"

 

"67 Supplementary Table 3. Notable aging clocks. Extracting signatures of aging has becoming
68 increasingly popular. Monitoring the aging process in different modalities from cellular to tissue
69 level have produced aging clocks with varying ability to correlate the different aspects of
70 chronological aging and healthy aging. Some of the notable aging clocks are depicted, ranging
71 from those using a wide array of biological modalities to facial features. The current standard
72 efforts have mostly been exploring each modality in isolation. Future attention would benefit
73 from combining modalities to provide a more wholistic resolution on the aging process."
https://static-conte..._MOESM1_ESM.pdf

[albedo]

"Biological age (BA) has been proposed to evaluate the aging status instead of chronological age (CA). Our study shows evidence that there might be multiple “clocks” within the whole-body system: systemic aging drivers/clocks overlaid with organ/tissue-specific counterparts. We utilize multi-omics data, including clinical tests, immune repertoire, targeted metabolomic molecules, gut microbiomes, physical fitness examinations, and facial skin examinations, to estimate the BA of different organs (e.g., liver, kidney) and systems (immune and metabolic system). The aging rates of organs/systems are diverse. People’s aging patterns are different. We also demonstrate several applications of organs/systems BA in two independent datasets. Mortality predictions are compared among organs' BA in the dataset of the United States National Health and Nutrition Examination Survey. Polygenic risk score of BAs constructed in the Chinese Longitudinal Healthy Longevity Survey cohort can predict the possibility of becoming centenarian."

 

"Our approaches to estimating BAs for organs and systems could be easily used in clinical practice or health management for elderly people. It is noteworthy that the biomarkers we used for constructing BAs were mostly gained from routine physical checkups or blood sample tests, which are easy to scale up for health management of larger populations."

 

"Klemera and Doudal algorithm (Klemera and Doubal, 2006) was used for the construction of biological ages. Briefly, the KD method was consisted of two steps to convert those biomarkers into aging rate and making them comparable. The first step is regressing every biomarker to chronological age. By doing this, we gained the estimated age as well as its standard error using a particular biomarker. Every biomarker was processed and all the estimated ages have the unit ‘year’ which is the same as chronological age. We consider the regression step as a normalization process that make different markers comparable in terms of unit. The second step is aggregating the age estimates of each biomarker as well as chronological age and construct biological ages."

 

Nie C, Li Y, Li R, Yan Y, Zhang D, Li T, Li Z, Sun Y, Zhen H, Ding J, Wan Z, Gong J, Shi Y, Huang Z, Wu Y, Cai K, Zong Y, Wang Z, Wang R, Jian M, Jin X, Wang J, Yang H, Han JJ, Zhang X, Franceschi C, Kennedy BK, Xu X. Distinct biological ages of organs and systems identified from a multi-omics study. Cell Rep. 2022 Mar 8;38(10):110459. doi: 10.1016/j.celrep.2022.110459. PMID: 35263580.

 

https://www.cell.com...47(22)00186-3#

[albedo]

A good recap here and market perspective:

 

https://bit.ly/3iKQ7Fp

Edited by albedo, 30 March 2022 - 07:44 AM.

[albedo]

Great recap on epigenetic clocks and aging between Dr Morgan Levine and Dr Rhonda Patrick.

A good thing I like in these videos is that Rhonda edits them and introduce the appropriate references and materials supporting the talk:

[albedo]

Should be a nice review .. pay walled though :-(

 

Rutledge, J., Oh, H. & Wyss-Coray, T. Measuring biological age using omics data. Nat Rev Genet (2022). https://doi.org/10.1...576-022-00511-7

 

Age is the key risk factor for diseases and disabilities of the elderly. Efforts to tackle age-related diseases and increase healthspan have suggested targeting the ageing process itself to ‘rejuvenate’ physiological functioning. However, achieving this aim requires measures of biological age and rates of ageing at the molecular level. Spurred by recent advances in high-throughput omics technologies, a new generation of tools to measure biological ageing now enables the quantitative characterization of ageing at molecular resolution. Epigenomic, transcriptomic, proteomic and metabolomic data can be harnessed with machine learning to build ‘ageing clocks’ with demonstrated capacity to identify new biomarkers of biological ageing.

https://www.nature.c...576-022-00511-7

 

[albedo]

Should be a nice review .. pay walled though :-(

 

Rutledge, J., Oh, H. & Wyss-Coray, T. Measuring biological age using omics data. Nat Rev Genet (2022). https://doi.org/10.1...576-022-00511-7

 

Age is the key risk factor for diseases and disabilities of the elderly. Efforts to tackle age-related diseases and increase healthspan have suggested targeting the ageing process itself to ‘rejuvenate’ physiological functioning. However, achieving this aim requires measures of biological age and rates of ageing at the molecular level. Spurred by recent advances in high-throughput omics technologies, a new generation of tools to measure biological ageing now enables the quantitative characterization of ageing at molecular resolution. Epigenomic, transcriptomic, proteomic and metabolomic data can be harnessed with machine learning to build ‘ageing clocks’ with demonstrated capacity to identify new biomarkers of biological ageing.

https://www.nature.c...576-022-00511-7

 

I just finished reading it: outstanding review, highly recommended!

 

[albedo]

A short article by MIT Technology Review, in case you missed it (it mentions also recent developments by Morgan Levine on her clock relative to noise reduction)

https://www.technolo...paid.engagement

[albedo]

In case you missed it:

 

Designing a Methylation Clock that Reliably Evaluates Anti-aging Interventions

https://joshmitteldo...-interventions/

[albedo]

Nice review ...

 

"Aging is closely related to the occurrence of human diseases; however, its exact biological mechanism is unclear. Advancements in high-throughput technology provide new opportunities for omics research to understand the pathological process of various complex human diseases. However, single-omics technologies only provide limited insights into the biological mechanisms of diseases. DNA, RNA, protein, metabolites, and microorganisms usually play complementary roles and perform certain biological functions together. In this review, we summarize multi-omics methods based on the most relevant biomarkers in single-omics to better understand molecular functions and disease causes. The integration of multi-omics technologies can systematically reveal the interactions among aging molecules from a multidimensional perspective. Our review provides new insights regarding the discovery of aging biomarkers, mechanism of aging, and identification of novel antiaging targets. Overall, data from genomics, transcriptomics, proteomics, metabolomics, integromics, microbiomics, and systems biology contribute to the identification of new candidate biomarkers for aging and novel targets for antiaging interventions."

 

Wu, L.; Xie, X.; Liang, T.; Ma, J.; Yang, L.; Yang, J.; Li, L.; Xi, Y.; Li, H.; Zhang, J.; Chen, X.; Ding, Y.; Wu, Q. Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets. Biomolecules 2022, 12, 39. https://doi.org/10.3390/biom12010039

[albedo]

Interesting, mainly for those using Aging.Ai V3.0 (14 days intervention in a clinic)

 

"Background: Kivach Clinic has developed a special medical spa program to prevent aging-related conditions in metabolic, cardio-vascular, and neurological states. Spa programs modify diet, physical activity, and lymphatic drainage, as it deteriorates with aging. We investigated its influence on the blood markers of biological age of patients during their stay to objectify the potential of spa treatment for influencing the risk of age-related events. Methods: The artificial deep learning model Aging.ai 3.0 was based on blood parameters. The change in the biological age of 43 patients was assessed after their 14-day spa treatment at Kivach Clinic. Results: Biological age decreased in 29 patients (median decrease: 8 years, mean: 8.83 years), increased in 10 patients (median increase: 3 years, mean: 5.33 years) and remained unchanged in 4 patients. Overall mean values for the entire patient group were as follows: median value was −3 years, and mean was −4.79 ± 1.2 years (p-value = 0.00025, t-test). Conclusions: The capability of specially selected medical spa treatment to reduce human biological age (assessed by Aging.AI 3.0) has been established."

 

Isaev FI, Sadykov AR, Moskalev A. Blood markers of biological age evaluates clinic complex medical spa programs. Biomedicines. 2023;11(2):625.

https://www.mdpi.com...7-9059/11/2/625

 

 

Edited by albedo, 19 February 2023 - 01:02 PM.

[albedo]

Hopefully this recent initiative (Biomarkers of Aging Consortium) will validate existing biomarkers of biological age and/or develop new ones for the clinic. The individuals behind are all very knows names in the field:

 

"Abstract: With the rapid expansion of aging biology research, identification and evaluation of longevity interventions in humans have become key goals of this field. Biomarkers of aging are critically important tools in achieving these objectives over realistic timeframes. Here, we advance a framework for characterizing and assessing biomarkers of aging, including consensus terminology for several key concepts in this space. We propose classification of existing biomarkers and evaluate their feasibility, age-sensitivity, mechanistic underpinnings, and response criteria. We also discuss analytical and clinical validation of biomarkers of aging, including validation as surrogate endpoint biomarkers of clinical outcomes. This framework sets the stage for the future development of valid biomarkers of aging and their ultimate utilization in clinical trials and practice."

 

https://www.agingconsortium.org/

[albedo]

Li Z, Zhang W, Duan Y, et al. Progress in biological age research. Front Public Health. 2023;11:1074274.

https://www.frontier...23.1074274/full

[albedo]

Just a word of caution:

"...Previous studies have assessed the utility of
different biomarkers and BA estimation methods have identified
the best mathematical model based on the association between
its BA estimates and CA and its capacity to predict various health
outcomes compared to others. However, the constancy of the
predictive ability of these BA estimates is inconclusive across
multiple studies because the model that correlated the best with
CA and/or predicts various outcomes in one study might fail in
another study..."

Bafei SEC, Shen C. Biomarkers selection and mathematical modeling in biological age estimation. npj Aging. 2023;9(1):1-9.

[gamesguru]

This makes a lot of sense to me. Things like methylation age and telomere length are notoriously hard to pin down, due to differences between cell types, personal biochemistry, and the need for advanced (expensive) quantification techniques to verify & serve as proxy measures.

 

It just shows we're going to need even more ingenuity and attention to detail to push science forward in this area, if measurement itself is going to prove difficult.

[albedo]

...

 

It just shows we're going to need even more ingenuity and attention to detail to push science forward in this area, if measurement itself is going to prove difficult.

 

Very right. tBA (thermodynamic biological age) might represent an effort in that direction and grounds the measurement of biological aging at more fundamental level, capturing interactions between the units composing organisms and non linearities. E.g. see: 

"...We assumed that living systems are collections
of a vast number of interacting functional units (FUs),
each set to a metastable state at the end of development.
Aging then results from the stochastic relaxation of the
organism state towards equilibrium via a sequence of con-
guration transitions representing the microscopic state
changes in all FUs.
Since the number of dynamically accessible irregular
congurations is vast, the total number of conguration
transitions is also large. Hence, their compound effects
on individual biological processes can be quantied by a
stochastic variable with a linearly increasing mean and
variance. The quantity progressively increases over time
in a suciently large regulatory network and hence may
provide a natural aging clock { the thermodynamic bio-
logical age (tBA). We argue that tBA is the fundamental
aging variable best associated with the dominant princi-
pal component (PC) score in biomedical data, the Hor-
vath methylation clock, and is proportional to the con-
guration entropy and hence quanties the information
lost in the course of the aging process...."

Tarkhov AE, Denisov KA, Fedichev PO. Aging Clocks, Entropy, and the Limits of Age-Reversal. Systems Biology; 2022.

https://www.biorxiv.....02.06.479300v2

[albedo]

Bill Faloon is also using Levine's Phenotypic Age to calculate his biological age. See his new post: https://age-reversal...-Test-Panel.pdf

I am also happy I was the one who spot with authors (Zuyun Liu) the mistake in the formula which was corrected in the paper correction of 2019. I was using my own spread sheet before JGC published his super elegant version. Note also that he made (as described in the link) a calculation to estimate Levine's PhenoAge which requires methylation data.

BTW, I am also ~15 years "younger" than my age at the same Faloon's (chrono) age ... ;-)

 

[Joe Garma]

Some Spanish scientist added a twist to PhenoAge, something the call "Anthropoage". It adds gender, weight, height, and some other body measurements. There's also a quick way to plug in the PhenoAge-required blood markers to get that bioage number. Go here: https://bellolab.shi...io/anthropoage/

[Lady4T]

 

Bill Faloon is also using Levine's Phenotypic Age to calculate his biological age. See his new post: https://age-reversal...-Test-Panel.pdf

 

Oh, my goodness!  Total cholesterol = 105

In light of research results in recent years and revelations about previous research, looks like this person might not live long.  Someone should warn him.

Unfortunately, too many people are still under the erroneous impression that low cholesterol is a good thing.

Edited by Lady4T, 14 August 2023 - 11:42 PM.