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A high-profile study published in Nature has challenged the ketogenic diet. While it was previously praised for metabolic health and cancer support, new MIT research in mice reveals a paradox: In genetically susceptible mice, the keto diet accelerated tumor growth in the small intestine.

• The researchers used mice with a mutation in the APC tumor suppressor gene, predisposing them strongly to intestinal tumors.
• Three diet groups: standard diet, high-fat high-calorie diet, and strict ketogenic diet.
• Result: Keto-fed mice stayed lean but had more small-intestine tumors and shorter survival.

• High fat intake upregulated fatty acid oxidation in intestinal cells.
• This activated the sensor PPAR delta, boosting stem cell division.
• Combined with the APC mutation, this led to accelerated tumor growth.
• Surprisingly, ketones (e.g., BHB) were not involved – they were mere “metabolic bystanders.” The effect was driven solely by the metabolism of dietary fats.

• In the colon of the same mice, the keto diet actually suppressed tumor growth – indicating tissue-specific effects.

1. Genetic Susceptibility: The mice had a defective APC gene – in humans, this mirrors a rare hereditary condition (about 1 in 10,000). Healthy humans have robust DNA repair mechanisms.
2. Ketones vs. Dietary Fats: Since ketones played no role, exogenous ketones (supplements) are not implicated. The effect stemmed from fat digestion in the gut.
3. Evolutionary Mismatch: Mice are natural grain-eaters, not adapted to high fat intake. Humans are omnivores with a long history of adapting to fatty diets and ketosis.

• The study did not compare different types of fats. A healthy keto diet emphasizes high-quality fats like olive oil, avocado, and omega-3s, whereas the study used processed fats.

• For healthy humans, this study is no reason for alarm. Keto followers should focus on fat quality and adopt a balanced, personalized approach.
• Science shows that nutrition is not one-size-fits-all – what benefits one tissue or person may carry different trade-offs for another.

Join the discussion: How does this research affect your view on the keto diet?

Summary follows...

Summary follows...

Each year, the Federal Ministry of Labor sets the calculation figures for social insurance. The draft for 2027 brings notable increases, especially for high earners in health and long-term care insurance.

• Average earnings rise from €51,944 (2026) to €53,452 (+2.9%).
  → If your salary stagnates, you earn fewer pension points. You need a 2.9% raise just to keep your points stable.
• Contribution assessment ceiling rises from €101,400 to €106,200 (+4.7%).
  → Maximum contribution: €9,877 (€446 more than in 2026). Income above the ceiling is contribution-free but does not earn additional pension points.

• Contribution assessment ceiling jumps from €69,750 to €76,500 (+9.7%).
  Reason: The GKV Contribution Rate Stabilization Act adds a one-time extra of €300 per month (€3,600 per year) on top.
• Compulsory insurance threshold for switching to private health insurance rises from €77,400 to €84,150.

• At €69,750 annual income → no change.
• At €80,000 → +5% more contributions.
• Above €106,200 → +7% more contributions.

These increases come on top of regular contribution rate adjustments (e.g., rising supplementary contributions, a likely higher pension contribution rate from 2028, and possibly a higher long-term care surcharge for the childless).

Bitcoin has pulled back into the low $80k range, a zone that could determine how the rest of the year plays out. Although the price has retreated from recent highs, many indicators (like ETF inflows) still look solid. BlackRock and other ETF buyers continue to invest hundreds of millions, but buying pressure isn't translating into sustained upside.

• Bond Market: The US 10-year Treasury yield jumped to over 5%, the highest level since 2007. Safe assets become more attractive, draining liquidity from risk assets like Bitcoin.
• Fed Policy: The Fed raised interest rates by 25 basis points in September (first hike since July 2023). 16 of 18 officials project at least one more hike. A stronger dollar and uncertain rate expectations encourage de-risking.
• Internal Crypto Selling: Long-term holders realized profits on 25,700 BTC on September 22 (largest single day in 2026), especially in the $84k–$85k cluster. Leverage longs were also flushed: $230 million liquidated in one hour on September 23.

• $87k – Resistance where Bitcoin just failed. Reclaiming it would require multiple daily closes above and heavy ETF buying.
• $80k – Psychological round number and average ETF cost basis (~$81.7k). Losing it would put many new buyers underwater.
• $75k – Next support, reinforced by the 50-day moving average.

If $80k holds, it becomes the floor for the next leg up. If it breaks, expect prolonged chop and boredom, but not a crash ending the bull trend – long-term holders have unrealized gains of only ~72% (vs. 350% in December 2024). The next move will likely depend on expectations around the Fed and bond yields.

Summary follows...

🧨 Overview

This Octa episode focuses on the contrast between soft sentiment data and hard on-chain/market data. The key takeaway: Despite loud voices and manipulative players, hard data is the only reliable basis for investing decisions.

• CEX market makers continue to manipulate assets – investors are warned not to get destroyed by their actions.
• Consumer confidence is dismissed as “soft data” that doesn't necessarily signal a recession or bad AI earnings.
• Last week was mixed; Bitcoin dipped 4 % but remains 6 % up in September. The Fear & Greed Index stands at 73 (Greed).

• Bitcoin outperforms the S&P 500 in every bull run – hinting at rotating 401k funds into IBIT.
• Mike Novogratz predicts $100K by year-end; the $82K support may hold.
• The altcoin season index jumped from 47 to 57 – signaling a possible rotation into alts.

• DEXs are cheaper and faster than CEXs – clearly visible in fee and volume data.
• Solana leads tokenized equities (32 % volume) and app revenue ($5.42B – more than triple Ethereum's).
• AI agents will soon move funds out of banks – an “agentic bank run” that will eliminate all excess profits from banks.

• SpaceX proved massive cost efficiency: $200M payload for $5–10M launch cost. Orbital data centers (Starlink V3) are the next frontier.
• Elon Musk is training Grok on physical data (Tesla & SpaceX) – a huge competitive moat.
• A Tesla-SpaceX merger seems imminent; synergies could create the first $100 trillion company.
• Tesla sales remain strong: 3,000 per million people in Norway, ~1,000 per million in the US.

• Private construction is almost exclusively data centers – plenty of capacity in some markets.
• Open source will dominate most AI workloads, despite the “AI safety charade.”
• An October rate hike is now 70 % priced in, with diesel and oil prices rising.
• Closing anecdote: A Belgian student handed found crypto to the authorities – a refreshingly honest story.