5 Ways To Make Your Smoothie Blood Sugar Friendly (Avoid the Spike!)

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At 10almonds, we are often saying “eat whole fruit; don’t drink your calories”. Whole fruit is great for blood sugars; fruit juices and many smoothies on the other hand, not so much. Especially juices, being near-completely or perhaps even completely stripped of fiber, but even smoothies have had a lot of the fiber broken down and are still a liquid, meaning they are very quickly and easily digestible, and thus their sugars (whatever carbs are in there) can just zip straight into your veins.

However, there are ways to mitigate this…

Slow it down

The theme here is “give the digestive process something else to do”; some things are more quickly and easily digestible than others, and if it’s working on breaking down some of the slower things, it’s not waving sugars straight on through; they have to wait their turn.

To that end, recommendations include:

  1. Full-fat Greek yogurt which provides both protein and fat, helping to slow down the absorption of sugar. Always choose unsweetened versions to avoid added sugars, though!
  2. Coconut milk (canned) which is low in sugar and carbs, high in fat. This helps reduce blood sugar spikes, as she found through personal experimentation too.
  3. Avocado which is rich in healthy fats that help stabilize blood sugar. As a bonus, it blends well into smoothies without affecting the taste much.
  4. Coconut oil which contains medium-chain triglycerides (MCTs) that are quickly absorbed for energy without involving glucose, promoting fat-burning and reducing blood sugar spikes.
  5. Collagen powder which is a protein that helps lower blood sugar spikes while also supporting muscle growth, skin, and joints.

For more on all of these, enjoy:

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  • Psychedelics and Psychotherapy – Edited by Dr. Tim Read & Maria Papaspyrou

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    A quick note on authorship, first: this book is edited by the psychiatrist and psychotherapist credited above, but after the introductory section, the rest of the chapters are written by experts on the individual topics.As such, the style will vary somewhat, from chapter to chapter.

    What this book isn’t: “try drugs and feel better!”

    Rather, the book explores the various ways in which assorted drugs can help people to—even if just briefly—shed things they didn’t know they were carrying, or otherwise couldn’t put down, and access parts of themselves they otherwise couldn’t.

    We also get to read a lot about the different roles the facilitator can play in guiding the therapeutic process, and what can be expected out of each kind of experience. This varies a lot from one drug to another, so it makes for very worthwhile reading, if that’s something you might consider pursuing. Knowledge makes for much more informed choices!

    Bottom line: if you’re curious about the therapeutic potential of psychedelics, and want a reference that’s more personal than dry clinical studies, but still more “safe and removed” than diving in by yourself, this is the book for you.

    Click here to check out Psychedelics and Psychotherapy, and expand your understanding!

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  • Nature Valley Protein Granola vs Kellog’s All-Bran – Which is Healthier?

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    Our Verdict

    When comparing Nature Valley Protein Granola to Kellog’s All-Bran, we picked the All-Bran.

    Why?

    While the Protein Granola indeed contains more protein (13g/cup, compared to 5g/cup), it also contains three times as much sugar (18g/cup, compared to 9g/cup) and only ⅓ as much fiber (4g/cup, compared to 12g/cup)

    Given that fiber is what helps our bodies to absorb sugar more gently (resulting in fewer spikes), this is extremely important, especially since 18g of sugar in one cup of Protein Granola is already most of the recommended daily allowance, all at once!

    For reference: the AHA recommends no more than 25g added sugar for women, or 32g for men

    Hence, we went for the option with 3x as much fiber and ⅓ of the sugar, the All-Bran.

    For more about keeping blood sugars stable, see:

    10 Ways To Balance Blood Sugars

    Enjoy!

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  • The Emperor’s New Klotho, Or Something More?

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    Unzipping The Genes Of Aging?

    Klotho is an enzyme encoded in humans’ genes—specifically, in the KL gene.

    It’s found throughout all living parts of the human body (and can even circulate about in its hormonal form, or come to rest in its membranaceous form), and its subgroups are especially found:

    • α-klotho: in the brain
    • β-klotho: in the liver
    • γ-klotho: in the kidneys

    Great! Why do we care?

    Klotho, its varieties and variants, its presence or absence, are very important in aging.

    Almost every biological manifestation of aging in humans has some klotho-related indicator; usually the decrease or mutation of some kind of klotho.

    Which way around the cause and effect go has been the subject of much debate and research: do we get old because we don’t have enough klotho, or do we make less klotho because we’re getting old?

    Of course, everything has to be tested per variant and per system, so that can take a while (punctuated by research scientists begging for more grants to do the next one). Given that it’s about aging, testing in humans would take an incredibly long while, so most studies so far have been rodent studies.

    The general gist of the results of rodent studies is “reduced klotho hastens aging; increased klotho slows it”.

    (this can be known by artificially increasing or decreasing the level of klotho expression, again something easier in mice as it is harder to arrange transgenic humans for the studies)

    Here’s one example of many, of that vast set of rodent studies:

    Suppression of Aging in Mice by the Hormone Klotho

    Relevance for Alzheimer’s, and a science-based advice

    A few years ago (2020), an Alzheimer’s study was undertaken; they noted that the famous apolipoprotein E4 (apoE4) allele is the strongest genetic risk factor for Alzheimer’s, and that klotho may be another. FGF21 (secreted by the liver, mostly during fasting) binds to its own receptor (FGFR1) and its co-receptor β-klotho. Since this is a known neuroprotective factor, they wondered whether klotho itself may interact with β-amyloid (Aβ), and found:

    ❝Aβ can enhance the ability of klotho to draw FGF21 to regions of incipient neurodegeneration in AD❞

    ~ Dr. Lehrer & Dr. Rheinstein

    In other words: β-amyloid, the substance whose accumulation is associated with neurodegeneration in Alzheimer’s disease, is a mediator in klotho bringing a known neuroprotective factor, FGF21, to the areas of neurodegeneration

    In fewer words: klotho calls the firefighters to the scene of the fire

    Read more: Alignment of Alzheimer’s disease amyloid β-peptide and klotho

    The advice based on this? Consider practicing intermittent fasting, if that is viable for you, as it will give your liver more FGF21-secreting time, and the more FGF21, the more firefighters arrive when klotho sounds the alarm.

    See also: Intermittent Fasting: What’s the truth?

    …and while you’re at it:

    Does intermittent fasting have benefits for our brain?

    A more recent (2023) study with a slightly different (but connected) purpose, found results consistent with this:

    Longevity factor klotho enhances cognition in aged nonhuman primates

    …and, for that matter this (2023) study that found:

    Associations between klotho and telomere biology in high stress caregivers

    …which looks promising, but we’d like to see it repeated with a sounder method (they sorted caregiving into “high-stress” and “low-stress” depending on whether a child was diagnosed with ASD or not, which is by no means a reliable way of sorting this). They did ask for reported subjective stress levels, but to be more objective, we’d like to see clinical markers of stress (e.g. cortisol levels, blood pressure, heart rate changes, etc).

    A very recent (April 2024) study found that it has implications for more aspects of aging—and this time, in humans (but using a population-based cohort study, rather than lab conditions):

    The prognostic value of serum α-klotho in age-related diseases among the US population: A prospective population-based cohort study

    Can I get it as a supplement?

    Not with today’s technology and today’s paucity of clinical trials, you can’t. Maybe in the future!

    However… The presence of senescent (old, badly copied, stumbling and staggering onwards when they should have been killed and eaten and recycled already) cells actively reduces klotho levels, which means that taking supplements that are senolytic (i.e., that kill those senescent cells) can increase serum klotho levels:

    Orally-active, clinically-translatable senolytics restore α-Klotho in mice and humans

    Ok, what can I take for that?

    We wrote about a senolytic supplement that you might enjoy, recently:

    Fisetin: The Anti-Aging Assassin

    Want to know more?

    If you have the time, Dr. Peter Attia interviews Dr. Dena Dubal (researcher in several of the above studies) here:

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    Enjoy!

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  • 7 Signs of Undiagnosed Autism in Adults
  • The BAT-pause!

    10almonds is reader-supported. We may, at no cost to you, receive a portion of sales if you purchase a product through a link in this article.

    When Cold Weather & The Menopause Battle It Out

    You may know that (moderate, safe) exposure to the cold allows our body to convert our white and yellow fat into the much healthier brown fat—also called brown adipose tissue, or “BAT” to its friends.

    If you didn’t already know that, then well, neither did scientists until about 15 years ago:

    The Changed Metabolic World with Human Brown Adipose Tissue: Therapeutic Visions

    You can read more about it here:

    Cool Temperature Alters Human Fat and Metabolism

    This is important, especially because the white fat that gets converted is the kind that makes up most visceral fat—the kind most associated with all-cause mortality:

    Visceral Belly Fat & How To Lose It ← this is not the same as your subcutaneous fat, the kind that sits directly under your skin and keeps you warm; this is the fat that goes between your organs and of which we should only have a small amount!

    The BAT-pause

    It’s been known (since before the above discovery) that BAT production slows considerably as we get older. Not too shocking—after all, many metabolic functions slow as we get older, so why should fat regulation be any different?

    But! Rodent studies found that this was tied less to age, but to ovarian function: rats who underwent ovariectomies suffered reduced BAT production, regardless of their age.

    Naturally, it’s been difficult to recreate such studies in humans, because it’s difficult to find a large sample of young adults willing to have their ovaries whipped out (or even suppressed chemically) to see how badly their metabolism suffers as a result.

    Nor can an observational study (for example, of people who incidentally have ovaries removed due to ovarian cancer) usefully be undertaken, because then the cancer itself and any additional cancer treatments would be confounding factors.

    Perimenopausal study to the rescue!

    A recent (published last month, at time of writing!) study looked at women around the age of menopause, but specifically in cohorts before and after, measuring BAT metabolism.

    By dividing the participants into groups based on age and menopausal status, and dividing the post-menopausal group into “takes HRT” and “no HRT” groups, and dividing the pre-menopausal group into “normal ovarian function” and “ovarian production of estrogen suppressed to mimic slightly early menopause” groups (there’s a drug for that), and then having groups exposed to warm and cold temperatures, and measuring BAT metabolism in all cases, they were able to find…

    It is about estrogen, not age!

    You can read more about the study here:

    “Good” fat metabolism changes tied to estrogen loss, not necessarily to aging, shows study

    …and the study itself, here:

    Brown adipose tissue metabolism in women is dependent on ovarian status

    What does this mean for men?

    This means nothing directly for (cis) men, sorry.

    But to satisfy your likely curiosity: yes, testosterone does at least moderately suppress BAT metabolism—based on rodent studies, anyway, because again it’s difficult to find enough human volunteers willing to have their testicles removed for science (without there being other confounding variables in play, anyway):

    Testosterone reduces metabolic brown fat activity in male mice

    So, that’s bad per se, but there isn’t much to be done about it, since the rest of your (addressing our male readers here) metabolism runs on testosterone, as do many of your bodily functions, and you would suffer many unwanted effects without it.

    However, as men do typically have notably less body fat in general than women (this is regulated by hormones), the effects of changes in BAT metabolism are rather less pronounced in men (per testosterone level changes) than in women (per estrogen level changes), because there’s less overall fat to convert.

    In summary…

    While menopausal HRT is not necessarily a silver bullet to all metabolic problems, its BAT-maintaining ability is certainly one more thing in its favor.

    See also:

    Dr. Jen Gunter | What You Should Have Been Told About The Menopause Beforehand

    Take care!

    Don’t Forget…

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  • Top 8 Fruits That Prevent & Kill Cancer

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    Dr. Amy Dee, pharmacist and cancer survivor herself, lays out the best options for anticancer fruits:

    The fruits

    Without further ado, they are:

    • Kiwi: promotes cancer cell death while sparing healthy cells
    • Plums & peaches: an interesting choice to list these similar fruits together as one item, but they both also induce cell death in cancer cells while sparing healthy ones
    • Dragon fruit: this does the same, while also inhibiting cancer cell growth
    • Figs: these have antitumor effects specifically, while removing carcinogens too, and additionally sensitizing cancer cells to light therapy
    • Cranberries: disrupt cancer cell adhesion, breaking down tumors, while protecting non-cancerous cells against DNA damage
    • Citrus fruits: inhibit tumor growth and kill cancer cells; regular consumption is also associated with a lower cancer risk (be warned though, grapefruit interacts with some medications)
    • Cherries: induce cancer cell death; protect healthy cells against DNA damage
    • Tomatoes: don’t often make it into lists of fruits, but lycopene reduces cancer risk, and slows the growth of cancer cells (10almonds note: watermelon has more lycopene than tomatoes, and is more traditionally considered a fruit in all respects, so could have taken the spot here).

    We would also argue that apricots could have had a spot on the list, both for their lycopene content (comparable to tomatoes) and their botanical (and thus phytochemical) similarities to peaches and plums.

    For more information on each of these (she also talks about the different polyphenols and other nutrients that constitute the active compounds delivering these anticancer effects), enjoy:

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    Want to learn more?

    You might also like to read:

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  • AI: The Doctor That Never Tires?

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    AI: The Doctor That Never Tires?

    We asked you for your opinion on the use of Artificial Intelligence (AI) in healthcare, and got the above-depicted, below-described set of results:

    • A little over half of respondents to the poll voted for “It speeds up research, and is more methodical about diagnosis, so it’s at least a good extra tool”
    • A quarter of respondents voted for “I’m on the fence—it seems to make no more nor less mistakes than human doctors do”
    • A little under a fifth of respondents voted for “AI is less prone to fatigue/bias than human doctors, making it an essential new tech”
    • Three respondents voted for “AI is a step too far in medical technology, and we’re not ready for it”

    Writer’s note: I’m a professional writer (you’d never have guessed, right?) and, apparently, I really did write “no more nor less mistakes”, despite the correct grammar being “no more nor fewer mistakes”. Now, I know this, and in fact, people getting less/fewer wrong is a pet hate of mine. Nevertheless, I erred.

    Yet, now that I’m writing this out in my usual software, and not directly into the poll-generation software, my (AI!) grammar/style-checker is highlighting the error for me.

    Now, an AI could not do my job. ChatGPT would try, and fail miserably. But can technology help me do mine better? Absolutely!

    And still, I dismiss a lot of the AI’s suggestions, because I know my field and can make informed choices. I don’t follow it blindly, and I think that’s key.

    AI is less prone to fatigue/bias than human doctors, making it an essential new tech: True or False?

    True—with one caveat.

    First, a quick anecdote from a subscriber who selected this option in the poll:

    ❝As long as it receives the same data inputs as my doctor (ie my entire medical history), I can see it providing a much more personalised service than my human doctor who is always forgetting what I have told him. I’m also concerned that my doctor may be depressed – not an ailment that ought to affect AI! I recently asked my newly qualified doctor goddaughter whether she would prefer to be treated by a human or AI doctor. No contest, she said – she’d go with AI. Her argument was that human doctors leap to conclusions, rather than properly weighing all the evidence – meaning AI, as long as it receives the same inputs, will be much more reliable❞

    Now, an anecdote is not data, so what does the science say?

    Well… It says the same:

    ❝Of 6695 responding physicians in active practice, 6586 provided information on the areas of interest: 3574 (54.3%) reported symptoms of burnout, 2163 (32.8%) reported excessive fatigue, and 427 (6.5%) reported recent suicidal ideation, with 255 of 6563 (3.9%) reporting a poor or failing patient safety grade in their primary work area and 691 of 6586 (10.5%) reporting a major medical error in the prior 3 months. Physicians reporting errors were more likely to have symptoms of burnout (77.6% vs 51.5%; P<.001), fatigue (46.6% vs 31.2%; P<.001), and recent suicidal ideation (12.7% vs 5.8%; P<.001).❞

    See the damning report for yourself: Physician Burnout, Well-being, and Work Unit Safety Grades in Relationship to Reported Medical Errors

    AI, of course, does not suffer from burnout, fatigue, or suicidal ideation.

    So, what was the caveat?

    The caveat is about bias. Humans are biased, and that goes for medical practitioners just the same. AI’s machine learning is based on source data, and the source data comes from humans, who are biased.

    See: Bias and Discrimination in AI: A Cross-Disciplinary Perspective

    So, AI can perpetuate human biases and doesn’t have a special extra strength in this regard.

    The lack of burnout, fatigue, and suicidal ideation, however, make a big difference.

    AI speeds up research, and is more methodical about diagnosis: True or False?

    True! AI is getting more and more efficient at this, and as has been pointed out, doesn’t make errors due to fatigue, and often comes to accurate conclusions near-instantaneously. To give just one example:

    ❝Deep learning algorithms achieved better diagnostic performance than a panel of 11 pathologists participating in a simulation exercise designed to mimic routine pathology workflow; algorithm performance was comparable with an expert pathologist interpreting whole-slide images without time constraints. The area under the curve was 0.994 (best algorithm) vs 0.884 (best pathologist).❞

    Read: Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

    About that “getting more and more efficient at this”; it’s in the nature of machine learning that every new piece of data improves the neural net being used. So long as it is getting fed new data, which it can process at rate far exceeding humans’ abilities, it will always be constantly improving.

    AI makes no more nor less fewer mistakes than humans do: True or False?

    False! AI makes fewer, now. This study is from 2021, and it’s only improved since then:

    ❝Professionals only came to the same conclusions [as each other] approximately 75 per cent of the time. More importantly, machine learning produced fewer decision-making errors than did all the professionals❞

    See: AI can make better clinical decisions than humans: study

    All that said, we’re not quite at Star Trek levels of “AI can do a human’s job entirely” just yet:

    BMJ | Artificial intelligence versus clinicians: pros and cons

    To summarize: medical AI is a powerful tool that:

    • Makes healthcare more accessible
    • Speeds up diagnosis
    • Reduces human error

    …and yet, for now at least, still requires human oversights, checks and balances.

    Essentially: it’s not really about humans vs machines at all. It’s about humans and machines giving each other information, and catching any mistakes made by the other. That way, humans can make more informed decisions, and still keep a “hand on the wheel”.

    Don’t Forget…

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