Until law, GLP-1 drugs were used to treat diabetes, obesity and even the recent evidences suggest that it could as well be used to treat chronic kidney problems. There is yet another research, published in JAMA Psychiatry on February 25, titled Once-Weekly Semaglutide in Adults With Alcohol Use Disorder: A Randomized Clinical Trial that explores if GLP-1 receptor agonist semaglutide reduce alcohol consumption and cravings in adults with alcohol use disorder.

What Do Studies Say?

The research was conducted over a period of 9 weeks, where in the randomized clinical trial, the participants who were administered semaglutide, it led to reductions in some but not all measures of weekly consumptions. It also reduced weekly alcohol and craving related to placebo, and also led to a greater relative reduction in cigarettes per day.

The research also found that weekly injections of semaglutide, which is the active ingredient in weight loss drugs like Wegovy also helped reduce cravings in people with alcohol use disorder.

The lead author Christian Hendershot said that these findings will help in developing new approaches to treat alcoholism. "Two drugs currently approved to reduce alcohol consumption aren't widely used. The popularity of Ozempic and other GLP-1 receptor agonists increases the chances of broad adoption of these treatments for alcohol use disorder," said Hendershot in news release by the University of Southern California's Institute for Addiction Research, where he is the director.

The study is government-funded research and was funded by the National Institute on Alcohol Abuse and Alcoholism, part of the National Institutes of Health.

How Was The Study Conducted?

The study was small, and took in account for only 48 adults over two months, thus experts say that it is not yet clear how safe these drugs are for people who do not need to lose weight. Though the results do add up with the evidence form animal studies on drugs like Ozempic and Wegovy on how it helps manage cravings, not just for food, but also for tobacco and alcohol. Scientists are also studying these drugs on smokers, people with opioid addiction and cocaine users.

Co-author Dr Klara Klein of the University of North Carolina at Chapel Hill who treats people with obesity and diabetes said, "This is such promising data. And we need more of it. We frequently will hear that once people start these medications that their desire to drink is very reduced, if not completely abolished."

Why Does It Work So Well Against Alcoholism?

The GLP-1 receptor agonists work by mimicking hormones GLP-1 in the gut and brain that regulates appetite and feelings of fullness. This response is what helps one lose weight, and what helps one curb their craving for alcohol. These drugs that mimic the functioning of your brain, which is responsible to tell your body when to stop consuming, are the same hormones that tell your body about other kinds of consumptions, including alcohol. Therefore by consuming the weight loss drugs one can treat alcohol use disorder.

However, the researchers have pointed out on the limited data on the research and have suggested to continue using the three approved drugs by the National Institute on Alcohol Abuse and Alcoholism and Substance Abuse and Mental Health Services Administration, namely, Disulfiram, Naltrexone, and Acamprosate to treat alcohol use disorder until large studies confirm these findings.

People working night shifts were nearly twice as likely to develop long COVID, according to a new study.

Researchers at Spain’s ISGlobal said no previous study had examined whether disruption of the body’s biological clock could increase the risk of developing long COVID.

“Our findings suggest that circadian disruption plays a role in the transition from acute infection to persistent symptoms,” said Manolis Kogevinas, an ISGlobal researcher.

Published in the Scandinavian Journal of Work, Environment and Health, the study also found that chronic insomnia further increased the risk, highlighting the potential importance of healthy sleep habits in preventing long COVID and other post-acute infectious syndromes.

Night Shift Raises Long COVID Risk

Also read: Long COVID Patients May Face Brain Fog & Fatigue Due To Reduction In Dopamine? New Study Explains

The research team followed 2,941 adults in Catalonia between 2021 and 2023. Among the 1,899 participants who became infected with SARS-CoV-2, 284 developed long COVID during the two-year follow-up.

Long COVID was defined as persistent symptoms lasting more than three months after infection.

Compared with day workers, people who worked night shifts had an 88% higher risk of developing long COVID. This was after accounting for other factors, including vaccination history and chronic diseases.

The association was stronger among night workers with obesity.

Importantly, the increased risk was seen in both current and former night workers, suggesting that it may reflect longer-term effects of circadian disruption rather than short-term changes.

However, night-shift work was not associated with a higher risk of infection. This suggests that disruption of the biological clock may influence how the body recovers from infection rather than the likelihood of catching the virus.

Chronic Insomnia Further Raises Risk

Read More: Amid Cyclospora, Salmonella Outbreaks, US FDA Issues Guidance on Ready-to-Eat Produce

The researchers found that chronic insomnia independently increased the risk of long COVID by 42%, regardless of night shift work.

The two factors also appeared to have a synergistic effect. Night shift workers with chronic insomnia were 2.7 times more likely to develop long COVID than day workers without insomnia.

The biological mechanisms behind the association are not yet fully understood. Researchers noted that the time of day when the body encounters a pathogen may influence the immune response. Disruption of the biological clock may also impair the immune system’s ability to clear an infection.

Could Better Sleep Help Prevent Long COVID?

With insomnia becoming increasingly common, the researchers highlighted the need to better understand the short- and long-term effects of disturbed sleep on infection-related outcomes.

The findings suggest that sleep may be a potentially modifiable factor in reducing the risk of long COVID and other post-infectious conditions.

“Promoting healthy sleep habits and minimizing circadian disruption could represent simple, low-cost strategies to reduce the long-term consequences of viral infections, particularly among people who work night shifts,” Kogevinas said.

What is Long COVID?

Long COVID is a debilitating condition that can persist for months or even years after a SARS-CoV-2 infection. Long COVID is an infection-associated chronic condition marked by fatigue, cognitive impairment, exercise intolerance, and multisystem dysfunction.

It has affected an estimated 400 million people worldwide and continues to have significant health, social, and economic consequences. Despite the ongoing risk, prevention strategies have received relatively little attention.

Indian scientists have developed tiny, light-responsive nanobots that could pave the way for more precise breast cancer treatment. The findings indicate that this approach could potentially reduce damage to healthy tissues during therapy.

Researchers from the Institute of Nano Science and Technology (INST), Mohali, in collaboration with scientists from the Bhabha Atomic Research Centre (BARC), Mumbai, have developed multifunctional nanobots that can move towards a light source and destroy cancer cells using a combination of heat and reactive oxygen species. The findings were published in ACS Applied Materials & Interfaces.

How Do The Nanobots Work?

The experimental nanobots are made of upconversion nanoparticles, which can respond to near-infrared (NIR) light. Unlike conventional light-driven systems that may require ultraviolet, NIR light has greater potential to penetrate tissue.

When exposed to a 980-nanometre NIR laser, the nanobots generate heat and show directional movements towards the light source. This is called phototaxis.

The researchers reported that the nanobots reached speeds of around 27 ± 7 micrometres per second under the tested conditions.

The team also coated the nanobots with folic acid. This helps them recognise breast cancer cells that have higher levels of folate receptors, improving their ability to target tumour cells.

At the tumour site, the nanobots use two mechanisms to attack cancer cells. Photothermal therapy generates localised heat, while photodynamic therapy produces reactive oxygen species that can damage and kill cancer cells.

“The field of fuel-free light-powered nanobots and microbots with stimulus-responsive behaviour can have crucial implications for biomedical research,” the researchers said in the study.

Also read: The Office Actress Lucy Davis Reveals Incurable Stage 4 Breast Cancer: 'It’s Too Late For Chemo'

Why Is This Important For Breast Cancer?

Chemotherapy remains an important part of breast cancer treatment, but its effects go beyond targeting tumour cells. Drugs circulating through the body can also affect healthy tissues, leading to side effects. Tumours may also develop resistance to the treatment.

The researchers say conventional nanomedicines often depend on passive accumulation inside tumours, which can limit penetration and control over exactly where treatment acts. The new method attempts to work with a navigation system managed externally by light.

Also read: Breastfeeding Can Help Reduce Mothers' Risk of Type 2 Diabetes, Breast Cancer and More

What Did The Study Find?

The technology has so far been tested in laboratory cancer-cell models and in mice carrying breast tumours. The researchers reported significant inhibition of tumour-growth when the nanobots with folic acid function were combined with 980 nm laser irradiation.

Researchers say that this is still preclinical research and may need further examination and clinical trials.

The nanobots have not been established as a treatment for breast cancer patients, and a lot more research will be needed to gauge their safety, effectiveness, dosing and ability to successfully work in humans.

Also read: Don't Fear The Biopsy, Fear The Delay

Global Breast Cancer Burden

Breast cancer is the most common cancer worldwide, with steady increases in incidence over the last few decades. It accounts for around one in four cases of cancer and 15 per cent of cancer deaths in women, and is one of the leading causes of death in women under 50.

Breast cancer is the most common cancer in the UK, with around 59,400 new cases diagnosed annually and roughly 11,200 deaths each year. About one in seven women in the UK develops the disease in their lifetime, though survival rates are high, with nearly 90% surviving for five years or more.

A Chhattisgarh police constable who died during hospital treatment received an automated Ayushman Bharat message 42 days later congratulating him on his recovery and saying he was returning home. The incident left his family shocked who raised questions over patient-record updates.

What Happened?

Devnarayan Ram, 39, a police constable from Jashpur district, was admitted to Government Medical College Hospital in Ambikapur on June 26. He died during treatment on June 30. His family subsequently received his death certificate and performed his last rites.

However, on August 6, his wife Seema Kujur received an automated message on her husband’s registered mobile number under the Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PM-JAY).

The message said, “We are happy that you have recovered and are returning home,” and thanked him for using the free healthcare services under Ayushman Bharat.

The portal showed June 26 as his admission date and August 6 as his discharge date, effectively keeping his hospital record active for 42 days after his death.

Also read: Healthcare's Biggest Challenge Is Not Clinical, It's Human

Family Seeks Probe

For Kujur, who is herself a nurse at a government hospital, the message was particularly distressing.

She said in a video message, “You can imagine what it means for a family to receive such a message for a person who has died. It causes immense pain.”

She also questioned how the system could remain unaware of her husband’s death for 42 days.

“I am a hospital employee, and even then, this happened to me. You can easily imagine what could happen to ordinary people, particularly poor and tribal families,” she said, demanding an inquiry.

Also read: Making IVF Affordable: Experts Push For Insurance Cover, Public Funding & Better Access To Fertility Care In India

Hospital's Response

Hospital authorities have denied that Ram’s Ayushman card was used to claim treatment benefits for 42 days after his death

According to the hospital, Ram was treated in the ICU from June 26 to June 30. Only ICU and blood-transfusion-related packages worth about ₹16,700 were blocked under Ayushman Bharat, and no additional package was blocked after his death.

Dr Shailendra Gupta of the Surguja district health department said allegations that the card had been used for 42 days were “completely incorrect.”

He said, “The amount was deducted only for the treatment provided during the patient's actual stay in the hospital. No additional amount was deducted."

Hospital officials said the problem occurred because the Ayushman claim was not closed promptly due to human error.

A data-entry operator allegedly delayed the process, and when the claim was finally closed on August 6, the system automatically generated the recovery and discharge message. The officials said that the operator has since been dismissed.

Also read: 'Let's Fix Our Food': India Launches New Policy To Fight Childhood Obesity, Boost Nutrition

What Is Ayushman Bharat PM-JAY?

Ayushman Bharat PM-JAY is Centre’s government-funded health assurance scheme, launched in 2018.

It provides health cover of up to ₹5 lakh per family per year for secondary and tertiary hospitalisation for eligible poor and vulnerable families.

The scheme is designed to provide cashless and paperless treatment and protect families from major out-of-pocket healthcare expenses.

After the incident raised questions about timely update of patient's records, the hospital has reportedly written to the state seeking safeguards so that automated messages relating to discharge, referral or death are sent only after the patient’s actual status is verified.