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Fasting may reset your body, but can it reset your mind? The new trend of dopamine fasting claims it can. And wait, there's more. This trend also works against dopamine resistance, implying that things that did not make you happier before will now do. You see, dopamine is a part of the brain's reward system and plays an important role in your pleasure reception. While this neurotransmitter is not directly linked to an individual's happiness, it triggers feelings of satisfaction, motivation and pleasure.
However, a person can also reach a stage of dopamine resistance if they continue to indulge in activities that trigger its frequent or constant release. In this case, the individual stops feeling the impact of this neurotransmitter and thus, does feel good or happy.
So does dopamine fasting work?
Dopamine fasting is a practice where individuals limit their exposure to activities or stimuli that typically provide a surge of dopamine. The idea behind dopamine fasting is to reset or recalibrate the brain's reward system. This is usually done by abstaining from gratifying things or experiences like social media, junk food, and even sex. Proponents of dopamine fasting argue that continual overstimulation from digital devices, social media, and easily accessible indulgences has numbed our brain's reward pathways. By regularly denying ourselves these dopamine triggers, the idea claims, we might restore our ability to acquire fulfilment from life's basic pleasures.
Having low levels of dopamine can make you less motivated and excited about things. In Parkinson's disease, there is not enough dopamine in the areas of the brain important for movement. This leads to problems with muscle stiffness and movements such as walking.
The symptoms of a dopamine imbalance depend on what is causing the problem. They include physical symptoms such as:
Adjusting dopamine levels is complicated, as it is involved in many different roles in the brain. Your doctor won't measure your dopamine levels directly, and there is no simple test to measure it. Your symptoms will be the clues that tell your doctor if you have too much or not enough dopamine. They will then prescribe medicines to adjust your dopamine level, based on your symptoms, and make adjustments based on how your body responds and how you feel.
ALSO READ: Not Just a Screen Time Fix: 5 Timeless Health Habits from the ’50s
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The biological age of ovaries may be influenced by the environment surrounding the organs, rather than being an entirely irreversible process. A new experiment done on mice found that older ovaries became biologically younger after being transplanted into younger animals, restoring and extending their ability to support pregnancy.
The research, led by scientists at Harvard Medical School, body's environment may influence how quickly the ovaries age. The findings could help researchers investigate treatments aimed at preserving ovarian function and fertility for longer in women.
The researchers transplanted ovaries from 13-month-old mice into younger mice that were four months old. The older donor mice had crossed their reproductive age.
Four to five months after transplantation, the younger recipients gave birth to healthy offspring, even though the transplanted ovaries were 17 to 18 months of age.
The same effect was not observed when older ovaries were transplanted into older recipients. This suggested that the recipient's biological environment, rather than the age of the ovaries alone, affected their reproductive function.
The team also performed the reverse experiment. When young ovaries were transplanted into older mice, the ovaries showed signs of accelerated ageing.
The researchers developed an ovarian ageing clock called OvaAge to observe the changes. The clock uses patterns of gene activity to ascertain an ovary's molecular age.
The results showed that the molecular age of older ovaries dropped when they were placed in younger animals. Conversely, young ovaries in older recipients aged faster.
The researchers also observed that older ovaries in younger hosts showed reduced inflammatory activity, while young ovaries in older hosts showed increased inflammation.
The study also explored whether the ovaries affect ageing elsewhere in the body. When young ovaries were transplanted into older mice, researchers observed that the molecular ages of the brain, liver and uterus also dropped. The findings suggest that the ovaries may also influence other organs through hormones or other signals.
The researchers also identified changes in gene activity and cellular processes linked to inflammation, metabolism and tissue maintenance. Understanding these signals could help scientists investigate whether some effects of ovarian ageing can be targeted without an organ transplant.
Ovarian ageing refers to a decline in both the number and quality of eggs. This reduces women's fertility as they grow older. The ovaries also produce hormones, including oestrogen, that affect overall health.
The new findings spark the possibility that the environment surrounding the ovaries could be a target for future treatments to preserve ovarian function.
If researchers can identify the signals that allowed older ovaries to function in younger mice, they may eventually be able to investigate ways to reproduce those effects without transplantation. But substantial research is still needed to move ahead.
The study was based mice, and ovarian biology, reproductive ageing and fertility outcomes differ significantly between mice and humans.
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Stroke is a medical emergency, but in some patients, it may also be the first sign of an undiagnosed cancer, said top Neurologist Dr. Vinit Suri on World Stroke Day.
In an exclusive interview with HealthandMe for World Stroke Day, Dr. Suri, Senior Consultant Neurologist and Academic Coordinator at Indraprastha Apollo Hospital, New Delhi, explains the link between cancer and stroke, the warning signs that need urgent attention, and how patients can reduce their risk.
He noted that cancer and its treatment can also increase stroke risk, while a stroke may sometimes prompt doctors to investigate an underlying malignancy.
The noted expert also highlighted warning signs which may point to an underlying malignancy, and how cancer patients can reduce their risk and manage recovery.
Dr Suri said cancer and stroke can overlap in three ways: cancer patients may have conventional risk factors such as hypertension and diabetes; cancer itself can increase blood clotting; and certain treatments can raise stroke risk.
“Cancer patients have double the risk of having a stroke compared to their age-matched individuals,” Dr Suri said.
He estimated that 10% to 15% of stroke patients may have cancer or cancer treatment as the underlying cause. Sometimes, a stroke is the first sign of an undiagnosed malignancy, known as a sentinel stroke. Thus, identifying the cause is important to prevent recurrent strokes.
Dr. Suri said doctors should consider investigating an underlying malignancy in patients with:
Investigations may include D-dimer testing, tumor markers such as prostate-specific antigen (PSA), other cancer biomarkers and whole-body PET-CT, said the noted neurologist.
A stroke may reveal cancer even without obvious cancer-related symptoms. Emergency stroke treatment must take priority, followed by investigations to identify the cause and prevent recurrence, he added.
Read More: World Stroke Day: What Is BE FAST? Stroke Warning Signs To Watch For
Dr Suri said sudden neurological symptoms in cancer patients require urgent assessment because stroke and brain metastases can present similarly. Brain metastases may also cause seizures and one-sided weakness.
He recommended BE FAST to recognize possible stroke symptoms:
Anyone experiencing these symptoms should seek emergency care, the expert said.
“Time is brain,” he said. Clot-dissolving drugs may be given within four and a half hours in eligible patients, while clot-removal procedures may be possible within six to 24 hours, depending on the patient.
CT scans may be sufficient in many cases, but MRI may help distinguish a stroke from brain metastases.
Dr Suri said that some chemotherapy drugs and hormonal therapies for breast and prostate cancers can increase blood clotting.
Radiation to the neck may cause narrowing, scarring and fibrosis in the carotid arteries, potentially contributing to strokes years later.
READ: 1 in 7 Stroke Patients In India Are Under 45; Hypertension Leads Risk Factors: ICMR Study
Dr Suri advised people to control blood pressure, diabetes, abnormal cholesterol and obesity through physical activity and by avoiding a sedentary lifestyle.
Age, male sex and family history are the non-modifiable risks, while other risk factors include heart disease, smoking, alcohol use, chewing tobacco and drug abuse, which can contribute to strokes even in young people.
Dr Suri described hypertension as the most important modifiable risk factor and a major cause of ischemic and hemorrhagic strokes. He recommended regular blood pressure checks, reducing salt intake, walking and taking prescribed medication. He also stressed diabetes management and identifying atrial fibrillation, which can cause strokes affecting multiple brain blood vessel territories in older adults.
Oncologists should consider stroke risk when choosing treatments, particularly for patients with pancreatic or lung cancer and other adenocarcinomas associated with increased clotting risk, he said.
Treatment may involve addressing the underlying cancer through chemotherapy or surgery and preventing further clots. Warfarin may not work in some cases, and doctors may consider direct oral anticoagulants (DOACs) or low-molecular-weight heparin.
Dr Suri said having both conditions can worsen prognosis because stroke can cause death or long-term disability, while cancer may reduce life expectancy.
“When these two double whammies are happening together, the outlook becomes much, much graver,” he said, adding neurologists and oncologists must work together to adjust treatment.
“Both of them have to be involved together as a team to plan and modify both the cancer therapy as well as the stroke therapy,” he said.
Some medicines that increase stroke risk may need to be withdrawn. Blood thinners must be selected with the oncologist because certain chemotherapy drugs can rapidly lower platelet and white blood cell counts.
Cancer does not automatically prevent stroke rehabilitation, Suri said, although severe weakness or frailty may limit participation.
“Cancer is not likely to interfere with the rehabilitative processes unless and until it has made the patient very weak and frail,” he said.
Yes, Dr Suri said. Both can occur at any age, although their causes and cancer types may differ across age groups.
“Stroke can occur even in very young children,” he said, noting that infants may have strokes due to arteriopathies and other conditions. Both conditions become more common with age, but neither has a lower age limit.
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Ever since artificial intelligence became a part of our lives, we have fallen into the habit of quickly firing up that chat box and typing our biggest worries, darkest thoughts among many other things. But it has become important to stop and ponder whether AI is really producing the most useful and viable solutions for us.
A recent study published in NEJM AI suggests that artificial intelligence systems may recommend more expensive medical care than doctors. The findings said that AI-generated care plans may cost more than three times as much as doctors’ recommendations.
The researchers compared recommendations from 24 artificial intelligence systems with the recommendations by physicians across 200 outpatient and emergency department visits.
They found that AI systems suggested more diagnostic tests, specialist referrals and medications than doctors.
The average estimated cost of care recommended by 20 general-purpose AI systems was USD 314 per visit compared to USD 97 for physicians’ plans. That was equal to a 3.2-fold difference.
The researchers used 200 de-identified patient history and notes from outpatient and emergency department visits, sourced from MTSamples, a public collection of clinical documentation.
They gave the notes to 24 AI systems, including 20 general-purpose large language models and four specialised medical AI systems. Each system produced an assessment and plan based on that information. Researchers then compared these recommendations with the original physician’s documented plan.
The researchers estimated costs using 2026 US Medicare rates. The cost comparison included diagnostic tests and specialist referrals. New medications were counted separately. The results showed that AI-generated plans recommended more investigations and specialist consultations, increasing the estimated cost of care.
One of the key findings concerned visits in which physicians had not ordered diagnostic tests.
Doctors had recommended no diagnostic testing in approximately 66% of the encounters. Across these visits, the AI systems consistently suggested tests, often including standard panels of blood investigations.
Overall, diagnostic testing recommended by the general-purpose AI systems cost an estimated USD 176 per visit compared to USD 71 for doctors’ plans.
AI systems also recommended specialist referrals and new medications more frequently than doctors. The researchers saw an average of 1.14 new medications per visit across the AI systems, compared to 0.59 in physicians’ plans.
These findings suggest that AI-generated care plans may favour additional investigations and interventions.
Also read: AI Diet Advice Turns Dangerous: ChatGPT Plan Lands Man In ER With Bromide Poisoning
The researchers also examined whether changing the prompts given to AI systems could reduce the cost of their recommendations.
Prompts containing savings and budget-friendly suggestions reduced the estimated cost difference, but did not eliminate it. The cost ratio fell from 3.2 times physicians’ plans to 2.5 times when systems were specifically instructed to recommend cost-friendly tests and medicines.
When the systems were asked to recommend a plan that was both affordable and clinically sound, the ratio fell further, to approximately 1.4 times the physicians’ cost.
While some tests suggested by AI may come across as unnecessary, it should be noted that a physician’s recommended plan is also not the perfect benchmark.
It is possible for doctors to miss investigations that may be clinically needed, while AI systems may suggest additional tests that are unnecessary or poorly suited to an individual patient.
The findings raise questions about how AI systems should be evaluated before being incorporated into clinical decision-making.
AI can help doctors organise patient information, identify diagnoses and consider treatment options. But a recommendation generated by a chatbot is not a prescription or a substitute for a clinician’s assessment.
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