Most people are aware of type 1 and type 2 diabetes, but did you know there is a type 3 diabetes as well! It is a more obscure term. Although it is not an accepted medical diagnosis, type 3 diabetes has been discussed in the literature as a possible relationship between insulin resistance in the brain and Alzheimer's disease. This link has been described to help explain how metabolic disorders impact brain health, causing cognitive decline and dementia.

What is Type 3 Diabetes?

Type 3 diabetes is more of a misnomer because it should not be confused with type 3c diabetes, which relates to pancreatic dysfunction. The term "type 3 diabetes," on the other hand, has been loosely used by some scientists to analogously propose that Alzheimer's disease is strongly implicated with insulin resistance in the brain.

This concept was conceptualized by Dr. Suzanne de la Monte and Dr. Jack Wands of Brown University in the year 2008. This hypothesis postulated that Alzheimer's disease may be called type 3 diabetes for it bears many similarities with glucose metabolism disorder type 2 diabetes. Their concept arises from the basic principle that insulin is fundamental to blood sugar regulation, but it is also the case with the brain. When brain cells become insulin-resistant, they lose access to glucose, impairing their function.

Research published in the Journal of Diabetes Science and Technology supports this hypothesis by indicating that insulin resistance can be a significant contributor to the occurrence of dementia, also referred to as Alzheimer's. The symptoms of memory loss and diminished reasoning are associated with impaired glucose metabolism in the body, especially in the cerebral tissue.

Symptoms of Type 3 Diabetes

Although type 3 diabetes is not a "medical term," its symptoms correlate well with Alzheimer's diseases that are known to reduce the ability to think in an efficient manner and bring down brain health. These signs are:

- Loss of memory, especially short-term.

- Poor judgment and judgment ability

- Failure in recognizing people or places familiar once.

- Failure in the process of reading, writing or processing numbers

- Anxiety, agitation, or mood changes.

- Disorganized thoughts or confusion

- Lack of impulse control

As the disease advances, patients may be afflicted with severe complications including an inability to swallow or control their bodily functions. In the final stages, most patients die from fatal complications such as aspiration pneumonia.

Causes of Type 3 Diabetes

This may not be well understood with regards to type 3 diabetes, or the exact link between insulin resistance and Alzheimer's disease. Some identified contributing factors include the following:

1. Insulin Resistance

Insulin acts as an important regulatory mechanism of brain functions such as memory and cognition. The reduction in insulin signaling may impair metabolism of brain cells, thus bringing about neurodegeneration.

2. Type 2 Diabetes

These diseases show a strong relationship and those individuals diagnosed with type 2 diabetes have double chances of getting Alzheimer's. In the two, the main causes can be chronic inflammation, oxidative stress, and a defect in glucose metabolism.

3. Environmental and Lifestyle Factors

Insulin resistance associated with obesity, stress, and an unhealthy diet is considered a cause that may increase the chances of Alzheimer's disease.

Researches in Frontiers in Neuroscience and The Lancet Neurology have also highlighted that drugs used for antidiabetic medication may be crucial for the prevention or at least slowing down the course of Alzheimer's.

Treatments for Type 3 Diabetes

In 2022, in a study in Pharmaceuticals, researchers studied biomarker uptake in brain regions implicated in the faulty uptake and metabolism of blood sugar in Alzheimer’s patients.

Emerging Therapies

Research into such treatments as intranasal insulin has also been promising. Intranasal delivery of insulin directly to the brain has been reported to enhance glucose uptake by brain cells, improve memory, and boost cognitive performance. While such clinical trials have been shown to be successful, additional research is needed for safety and efficacy.

Medications

For patients being aggressive or agitated, antipsychotic drugs may be prescribed; however, therapies such as cognitive rehabilitation as well as cognitive stimulation therapy serve to preserve memory and executive function.

Lifestyle Interventions

Diet, exercise, and stress management are critical in preventing and managing insulin resistance. A review in the Journal of Alzheimer's Disease also highlighted the benefits of Kirtan Kriya meditation, which can regulate genes involved in insulin and glucose metabolism, improve sleep, and reduce inflammation.

Can Type 3 Diabetes Be Prevented?

Although type 3 diabetes is not officially recognized, its connection to Alzheimer’s disease underscores the importance of proactive measures for brain health. Some prevention strategies include:

1. Healthy Diet

Consuming a balanced diet rich in antioxidants, whole grains, and healthy fats may support brain health.

2. Regular Exercise

Physical activity improves insulin sensitivity, reduces inflammation, and enhances overall metabolic health.

3. Stress Reduction

Mindfulness practices, including meditation, have been shown to lower stress levels, which can reduce the risk of cognitive decline.

The term type 3 diabetes brings out the complex relationship between metabolic disorders and brain health. Even though it is not a recognized medical condition, the concept emphasizes the crucial role of insulin in brain function and its possible contribution to Alzheimer's disease. Continued research will hopefully provide hope for therapies such as intranasal insulin and lifestyle modifications.

After Dussehra festivities, Delhi woke up to an alarming AQI of 300, maybe even more in some parts of the city. On October 21, pollution curbs under GRAP-1 were implemented, which are brought in force when AQI ranges between 201 and 300.

As Delhi's air pollution increases, some people may experience uncommon symptoms like feeling unusually tired, sluggish or unable to concentrate. This is not just a coincidence. Even people without asthma or breathing difficulties can feel fatigue, especially during periods of high air pollution.

Fine particulate matter (PM2.5) can penetrate deep into the lungs and trigger inflammation and physiological stress. Its effects may extend beyond the respiratory system, affecting blood vessels health, cardiovascular function as well as sleep.

HeathandMe spoke to Dr Puneet Khanna, Chairman, Respiratory Medicine and Pulmonology, Manipal Hospital Dwarka, New Delhi, Dr. Puneet Gupta, HOD - Pulmonology, Intervention Pulmonology & Sleep Medicine, Yatharth Super Speciality Hospital, Noida Extension, and Dr Mrinal Sircar, Director, Respiratory and Sleep Medicine, Medanta, Noida, who explained why rising AQI can leave some people feeling exhausted, what can help and when chronic fatigue needs medical attention.

High AQI May Make You Feel Tired Even Without Breathing Problems

Poor air quality does not affect just the lungs. Dr Sircar explains that air pollution can cause symptoms even in people without a pre-existing respiratory condition.

According to Dr Khanna, exposure to PM2.5 can trigger inflammation and oxidative stress, increase the body's workload and affect sleep quality. These changes may contribute to tiredness, headaches, low energy and reduced concentration, even in people with otherwise healthy lungs.

“Exposure to polluted air may also affect sleep quality and increase the body's overall stress response, contributing to symptoms such as tiredness, reduced energy and difficulty concentrating,” he says.

Dr. Gupta delves deeper into the process of PM2.5's attack and how the body responds to it.

He explained, "Your immune system treats fine particles (PM2.5) as intruders and mounts a constant low-grade defence, which burns energy much like a mild infection. At the same time, irritated airways and gases like carbon monoxide can make oxygen delivery slightly less efficient. The most underrated cause is sleep: a dry throat, blocked nose, and mild night-time cough fragment your sleep, so you wake up unrefreshed without knowing why. Fatigue here doesn’t mean your lungs are weak. It means your body is working overtime quietly."

Also read: Sky Turns Orange In Indonesia: How Toxic Smog From Wildfires Can Impact Health

Can PM2.5 Affect The Heart And Blood Vessels Too?

PM2.5 particles are small enough to penetrate deep into the lungs. Some of its components can even enter the bloodstream. Exposure can trigger inflammatory and oxidative stress responses beyond the respiratory system.

Dr Khanna says, “These changes may reduce physical endurance, increase feelings of fatigue, and contribute to symptoms such as brain fog, lethargy, and reduced exercise tolerance, particularly during periods of severe air pollution.”

Dr. Gupta explained PM2.5 can create the same response from body as a common flu does. But the extent of these effects depends on pollution levels, duration of exposure and individual risk.

He said, "PM2.5 is small enough that it, or the inflammatory chemicals it triggers, can enter the bloodstream. Signalling molecules such as IL-6 and CRP then travel through the whole body and produce the same “wiped out” feeling you get with the flu."

He also said that particles also create oxidative stress, which damages mitochondria, the power plants of your cells. Blood vessels become stiffer, blood pressure can rise slightly, and the nervous system’s control of heart rhythm can be disturbed, which may feel like heaviness or palpitations. Inflammation can also reach the brain, causing fog and poor focus.

Also read: Delhi Smog: Can You Really Tackle Pollution Season With An N95 Mask And Air Purifier?

What Can Help?

According to the doctors, the key is to reduce exposure to polluted air. Practical steps include:

• Limit exertion: Avoid strenuous outdoor activity when pollution levels are high, especially during periods of severe pollution.
• Wear a well-fitting N95 respirator: It can reduce exposure to fine particles when outdoors.
• Improve indoor air quality: Keep windows closed when outdoor air quality is poor and use a suitably sized air purifier with a HEPA filter where feasible.
• Maintain basic health routines: Get adequate sleep, stay hydrated and eat regular meals.
• Check AQI levels: Use local air quality updates to plan outdoor activities.

Dr Khanna emphasises that these steps can help reduce exposure but cannot eliminate the effects of ongoing pollution. He also said that severe breathlessness, chest pain, fainting or sudden weakness requires urgent medical attention.

Does Pollution-Induced Fatigue Go Away When AQI Improves?

For many otherwise healthy people, symptoms can improve once air quality improves. Dr Khanna says recovery may occur within a few hours to several days, depending on pollution severity, exposure duration and individual health.

However, there is no fixed recovery timeline. People with underlying respiratory or cardiovascular conditions may take longer to recover, while persistent tiredness may point to another health problem.

Dr Sircar advises seeking medical advice if fatigue continues after air quality improves.

The doctors also advise that if fatigue is chronic, recurrent, worsening or interferes with daily activities, medical evaluation should be sought rather than simply attributing it to air pollution.

Dr Sircar also says that that a doctor may need to investigate other possible causes, including anaemia, thyroid disorders, sleep problems and cardiovascular conditions. Fatigue accompanied by a chronic cough, wheezing, breathlessness, chest problems or reduced exercise tolerance also needs intervention.

A single photograph of someone’s face might carry real clues about their health and how long they’re likely to live, at least according to new AI tools built by researchers at Mass General Brigham in Boston.

What the researchers built

The team trained a large AI foundation model called FAHR-Face, short for Foundation Artificial Intelligence for Health Recognition, on more than 40 million facial images.

From that base model, they built two specialised tools: FAHR-FaceAge, which estimates a person’s biological age from a single photo, and FAHR-FaceSurvival, fine-tuned on 34,389 photos of cancer patients to predict survival risk directly from facial appearance.

“I was pretty surprised to find out that we could pick up signs of mortality risk from just a facial photograph,” corresponding author is Dr. Raymond Mak, a radiation oncologist at Mass General Brigham Cancer Institute told CNN. The study is published in The Lancet Digital Health.

What the two tools actually look at

The two algorithms focus on entirely different parts of the face. “The age estimation algorithm is looking at the area around the temples, the area on the forehead, above the eyes and then what we call the nasolabial fold,” Mak said, while “the mortality risk prediction algorithm is looking at a totally different part of the face... the bridge of the nose and the area under the eyes.”

Also Read: ADHD Linked To 71% Higher Risk Of Death; Suicide And Injuries Among Top Concerns

The results

Among 122 cancer patients flagged by FAHR-FaceSurvival as high-risk, 52.5% died within 90 days, compared with about 2% of the 975 patients in the lowest-risk group. Separately, 21% of patients whose biological age came back more than 20 years older than their actual age died within 90 days, against about 6% of those whose biological age was at least 10 years younger than their chronological age.

The researchers also found that cosmetic changes, including surgery, Botox, or makeup, didn’t throw off the models’ performance, according to the Mass General Brigham release.

An eerie echo of ancient medicine

The facial regions both AI models rely on, the nose, temples, and the area around the eyes, closely match what the Greek physician Hippocrates described around 400 BC in his Book of Prognostics as signs of approaching death: “the nose sharp, the eyes sunken, the temples fallen in.”

Mak told CNN the algorithms had no exposure to Hippocrates’ text and were trained purely on photographs and outcomes data. “Hearing Hippocrates echo over millennia in our algorithms was very eerie,” he said.

Not ready for the clinic yet

Outside experts urged caution. Dr. Wilbur Lam of Emory University, who wasn’t involved in the study, called it “an extremely compelling study” with robust associations, but said its “true clinical utility... will need to be demonstrated prospectively,” and flagged open questions about how well it performs across different facial features, skin tones, and age groups.

Miroslaw Bober of the University of Surrey, also not involved in the study, said the findings shows “convincing evidence” of a statistical link but cautioned that “predicting an outcome is not the same as explaining it.”

He noted the study never tested whether the AI model picks up anything a doctor’s own assessment wouldn’t, since doctors’ general health evaluations weren’t measured for comparison. “This is a promising proof of concept, but it is not ready for clinical use,” Bober said.

An individual's income, education, gender and place of residence can impact their risk of developing chronic diseases, as well as their access to diagnosis and treatment, according to a new World Health Organization (WHO) report.

The report highlights how social and economic inequalities affect the burden of noncommunicable diseases (NCDs) like cancer, cardiovascular diseases, diabetes and chronic respiratory diseases.

Published on October 20, State of Inequality: Noncommunicable Diseases and Their Risk Factors is WHO's first comprehensive global assessment of inequalities in NCDs and their risk factors. The report is based on data sources from nine countries and examines 35 indicators, using national data that collected over the past decade.

NCDs account for about three-quarters of deaths worldwide but their impact is not shared equally across different countries and their populations. The report examines how differences in economic status, education, sex, age, disability, employment, migration status and location influence disease risks and access to healthcare.

“This is the first effort to systematically measure inequalities in NCDs and their risk factors on a global scale,” said Dr Ahmad Reza Hosseinpoor, who leads WHO's health inequality monitoring team. “The findings show which populations are being left behind.”

How Income And Education Influence Chronic Disease Risk

The report found that people with lower levels of education in low and middle income countries tend to have higher rates of hypertension and diabetes.

Education can affect access to credible health information, opportunities to make informed health decisions and the capability to navigate technically complex healthcare services.

Income becomes a key factor that affects whether people's ability to afford nutritious food, preventive care, medicines and routine medical check-ups.

The report found that the poorest and least-educated women were less likely to receive cervical cancer screening. Tobacco use was also higher among men who were less educated than their educated counterparts.

Also read: G155E H1N1 Mutation In US Raises Concerns: Can This Year’s Flu Shot Still Protect You?

Risk Is Also Affected By Gender And Location

Differences in healthcare access and risks were also observed between men and women. Men were more likely to use tobacco and consume alcohol, but men with hypertension were less likely to be diagnosed and treated than women.

Women were less likely to meet recommended physical activity levels, while obesity was more common among women, particularly in low and middle-income countries.

Geography was another key factor as in many underprivileged countries, people living in rural areas had less access to hypertension diagnosis and treatment, as well as cervical cancer screening.

Rural households could also face greater exposure to household air pollution, while urban populations often experienced greater exposure to outdoor air pollution.

People with disabilities and migrants may also face financial, administrative, geographical or language barriers that make prevention, screening and treatment harder to access.

Also read: Lead Poisoning: WHO Warns There Is No Known Safe Level; Flags Risks From Paint, Spices and Cookware

What Needs To Change According To WHO

WHO said countries should use inequality data to identify marginalised populations who face barriers to enable direct prevention and treatment services towards them.

The report recommends expanding interventions to reduce NCD risks, improving access to screening and treatment in weak communities, and collecting data that reveal differences between population groups.

“Inequality data are not simply about documenting differences – they are a tool for action,” said Dr Alain Labrique, director of WHO's Data, Digital Health, Analytics and AI Department. “They help countries better tailor policies and programmes, identify gaps in coverage and track whether progress is reaching all population groups.”