High-Fat Diet Works with Gut Microbes to Benefit Cancer Treatment

A high-fat diet can result in better outcomes from cancer immunotherapy by improving the balance of microbes in the gut, early research shows.

The findings reveal how diet shapes immune states and how altering it could improve cancer treatment outcomes.

The study, reported in Nature, revealed that an obesogenic diet improved response to immune checkpoint inhibitors, with this occurring outside its impact on bodyweight or metabolism.

Instead, the benefits were linked with the creation of a favorable microbial ecosystem, which worked synergistically with the diet.

The results offer a potential explanation for the obesity paradox in cancer treatment, in which high body mass index is associated with improved immunotherapy responses to several types of cancer.

“Prolonged obesogenic diets are associated with well-established health risks and are not proposed as long-term interventions for patients with cancer,” caution researcher Lysanne Desharnais, PhD, from McGill University in Montreal, Canada, and colleagues.

“Rather, our work highlights the therapeutic potential of short-term dietary modulation, and of specific bacteria or microbial-derived metabolites, to create an optimal host ecosystem for immunotherapy responses.”

Previous research has indicated that the gut microbiota regulates immunotherapy responses, with diet shaping both the microbial and metabolic states that influence immune function.

Gut dysbiosis is a hallmark feature of obesity that links diet, the microbiome and health risk factors. Yet paradoxically, studies have shown that high BMI is associated with improved ICI responses for several types of cancer.

To investigate further, Desharnais and colleagues examined the impact of 12 mouse diets to designed to reflect variation in the human diet and also studied the impact of fecal microbiota transplants (FMTs).

In addition to traditional low fat, high fat, and Western diets, they used diverse ingredients as sources of protein, carbohydrates, fat and fiber to mimic Mediterranean, Japanese, vegan, American and ketogenic diets.

The team found that the efficacy of immune checkpoint inhibitors was dependent on the diet-gut axis rather than metabolic dysfunction, creating a favorable host ecosystem for therapy.

Lactobacillus johnsonii was as one of several key gut species associated with response against programmed cell death protein (PD-1), a protein found on T immune cells that helps keep immune responses in check.

Nonetheless, the researchers reported, “FMT, monocolonization, and diet switch experiments demonstrated that diet was more influential than microbiota composition alone, with maximal benefits observed when favorable bacteria were paired with favorable diets, due to synergistic metabolic remodeling.”

Obesogenic diets were not uniformly beneficial.

For example, the Mediterranean diet—high in fat from olive oil—retained a microbiota resembling lean, metabolically healthy mice, including low Lactobacillus, and remained insensitive to immune checkpoint inhibitors.

Conversely, a diet high in the soluble plant fiber inulin was lean and responsive to immune checkpoint inhibitors, yet had a distinct microbial composition characterized by low Lactobacillus and high Bifidobacteria.

Aromatic amino acid metabolites mediated the efficacy of immune checkpoint inhibitors. Tyrosine-derived phenylpropionate metabolism was a key pathway leading to production of desaminotyrosine and related metabolites, which enhanced T cell effector function.

There were also beneficial rises in indole-containing tryptophan metabolites, including indole-3-lactic acid, although this was not specifically dependent on Lactobacillus.

The researchers concluded: “Together, our findings identify diet–microbiome synergy as a mechanistic basis for the obesity paradox in cancer immunotherapy and a tractable target for improving therapeutic responses across diverse patient populations.”

The post High-Fat Diet Works with Gut Microbes to Benefit Cancer Treatment appeared first on Inside Precision Medicine.

Astrocytes Preserve Memory Persistence Through Ankyrin-2 Protein in Mice

Although scientists have long studied how memories are formed in the brain, how certain memories persist over time for learning and cognitive function remains unclear. 

A new study published in Nature Communications titled, “Astrocytic ankyrin-2 enables memory persistence in the mouse hippocampus,” suggests that astrocytes play a critical role in long-term memory through the regulatory protein ankyrin-2 (Ank2). 

Removing Ank2 function led to significantly impaired memory in mice after after two weeks. Under normal conditions, these mice showed standard locomotion, sociability, and recent memory immediately after learning.  

Astrocytes lacking Ank2 formed significantly less physical contacts with nearby engram neurons, the specialized neurons for memory storage. Additionally, the maintenance of long-term potentiation (LTP) was impaired while normal synaptic transmission remained intact. The findings suggest that astrocytes stabilize the neural circuits required for preserving memories long after they are formed. 

On the molecular level, researchers found that Ank2 is required for brain-derived neurotrophic factor (BDNF) signaling through the astrocytic TrkB.T1 receptor and IP3R2-mediated calcium signaling. In the absence of Ank2, calcium signaling weakened, astrocytes failed to undergo normal structural remodeling, and showed reduced ability to maintain contacts with memory-encoding neurons. 

The researchers further demonstrated that hippocampal BDNF infusion normally strengthens long-term memory persistence, but this effect disappeared when astrocytic Ank2 was deleted, showing that Ank2 is essential for BDNF-dependent memory stabilization. 

To determine whether astrocytic BDNF signaling alone is sufficient to enhance memory, the team developed an optogenetic tool called Opto-T1. Activation of this pathway promoted astrocyte remodeling, maintained long-term potentiation, and significantly enhanced remote memory without affecting recent memory.  

“Our findings show that astrocytes are not passive support cells, but active regulators that determine how long memories last,” said Wuhyun Koh, PhD, senior research fellow at Institute for Basic Science (IBS) and corresponding author of the study. “By identifying Ank2 as a key regulator of astrocyte remodeling and BDNF signaling, we have uncovered a new mechanism that helps stabilize long-term memories and opens new avenues for understanding and potentially treating memory disorders.” 

The researchers indicate the study provides a new framework for understanding how astrocytes contribute to neurological diseases. 

The post Astrocytes Preserve Memory Persistence Through Ankyrin-2 Protein in Mice appeared first on GEN – Genetic Engineering and Biotechnology News.

<![CDATA[In the final episode, “Take-Home Messages: Clinical Confidence in Transitioning Patients to Cobenfy,” David Walling, PhD, explored how these findings add to the evolving evidence base for Cobenfy in schizophrenia, and what questions remain for future research.]]>

Evaluating the Effectiveness of Screen-Based Haptic Virtual Reality Simulators in Preclinical Prosthodontic Crown Preparation: Mixed Methods Analysis Study

<strong>Background:</strong> Crown preparation is a technically demanding psychomotor skill in undergraduate dental education. While traditional typodont training is the gold standard, it is resource-intensive and difficult to individualize. Screen-based haptic virtual reality simulators (HVRSs) may provide a pedagogical adjunct to conventional training, but their effectiveness in supporting transfer of skills to physical tooth preparation remains unclear. <strong>Objective:</strong> This study evaluated whether 3 hours of self-directed HVRS training improved undergraduate dental students’ performance in physical typodont crown preparation compared with no HVRS training. Secondary aims were to examine self-confidence and students’ perceptions of HVRS-based training. Manual dexterity was assessed exploratorily using the Grooved Pegboard Test (GPT). <strong>Methods:</strong> A mixed methods study was conducted with 44 fifth-semester dental students at Karolinska Institutet. Participants were allocated to an HVRS training group (n=22) or a control group (n=22). The HVRS group completed 3 hours of self-directed HVRS training over 1 week, whereas the control group received no simulator-based training. Both groups then prepared a maxillary right first molar for a monolithic zirconia crown on a phantom head. Crown preparation quality was assessed using PrepCheck, and a blinded examiner scored 8 areas of interest on a 0-3 grading scale. Manual dexterity was assessed using the GPT. Self-confidence was evaluated in both groups using survey items, while perceptions of the HVRS were evaluated only among HVRS group participants. Free-text responses from the HVRS group were analyzed using inductive thematic analysis. <strong>Results:</strong> The HVRS group achieved a higher mean total preparation score than the control group, but the difference was not statistically significant (11.9 vs 10.9; <i>P</i>=.24). In unadjusted analyses, the HVRS group scored higher for total occlusal convergence (<i>P</i>=.04), but this difference did not remain statistically significant after Bonferroni correction for 8 area-of-interest comparisons. Manual dexterity measured by the GPT improved in both groups, but the control group was significantly faster at baseline (<i>P</i>=.04) and postintervention (<i>P</i>=.001). Self-confidence ratings were broadly similar between groups; very low confidence was reported by 5% (1/20) of respondents in the HVRS group and 18% (4/22) in the control group. Most HVRS group respondents rated the HVRS drilling sensation as having limited comparability with typodont teeth and natural teeth. Qualitative responses suggested that students valued the HVRS for understanding procedural steps, applying theoretical knowledge, and allowing repeated practice, while reported challenges included limited realism, visual-tactile disconnect, and occasional technical issues. <strong>Conclusions:</strong> Three hours of self-directed HVRS training did not significantly enhance overall crown preparation quality on typodont teeth or improve students’ general self-confidence. There is preliminary indication that HVRS could assist in mastering specific geometric parameters like total occlusal convergence. Future randomized controlled trials with stratified baseline dexterity and larger sample sizes are required to determine the optimal role of HVRS in dental education.

The Download: worms fight pollution, and geoengineering faces reality

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

Why worms (and microbes) are catching on as a manure pollution solution

Anthony Agueda, a third-generation California dairy farmer, pulls a rake through a bed of dark, wet wood chips to reveal a half-dozen squirming red earthworms. There are likely hundreds of thousands more wriggling just under the surface.

The worms and microbes are part of a “vermifiltration” system that cleans manure wastewater. The approach may dramatically cut methane, nitrous oxide, and water pollution.

Vermifiltration is just one of a variety of methods that farmers, companies, and scientists are employing to drive down manure pollution as the livestock industry faces growing pressure to address the environmental harms from one of the smelliest parts of the business.

Explore how the humble earthworm could reshape the future of sustainable farming.

—James Temple

MIT Technology Review Narrated: geoengineering gets a reality check

Solar geoengineering, the controversial idea that we could deliberately intervene in the climate system to counteract global warming, is moving beyond computer simulations and into the practical engineering challenges required to make it real.

Researchers are now working on aircraft, materials, and other systems for solar geoengineering. But as they delve into these details, they’re finding that even early deployment would require significant new infrastructure, time, and investment.

—James Temple


This is our latest
story to be turned into an MIT Technology Review Narrated podcast, which we publish each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 The Trump administration has lifted restrictions on OpenAI’s GPT 5.6
The green light came after additional testing and meetings. (Axios)
+ OpenAI subsequently said it will launch widely tomorrow. (Bloomberg $) 
+ The rollout had been delayed due to security concerns. (Verge)
+ Does AI know too much? (MIT Technology Review)

2 China is looking at curbing overseas access to its top AI models
Alibaba, ByteDance, and Z.ai attended meetings about the plan. (Reuters $)
+ Beijing is also weighing the security risks of open-weight AI. (SCMP)
+ And has issued a “backdoor” security alert over Claude Code. (CNBC)

3 European NATO allies have unveiled a $50 billion high-tech missile plan
They will engineer stealth and high-speed hypersonic weapons. (BBC)
+ Which can strike targets at least 300 km away. (Reuters $)
+ The Dutch and British are also developing amphibious ships. (Bloomberg $)
 
4 Meta is testing “super sensing” AI glasses that record every moment
It plans to disable privacy LEDs that alert people when they’re “on.” (FT $)
+ It’s also released an AI image generator. (NYT $)
+ Which lets anyone use your Instagram photos in AI images. (Wired $)
 
5 China’s DeepSeek is developing its own AI chip, sources say
It could reduce the company’s reliance on Nvidia and Huawei. (Bloomberg $)
+ DeepSeek V4 was a win for Chinese chipmakers. (MIT Technology Review)
 
6 Wikipedia is fighting to survive the internet’s next era
It’s under attack from MAGA, AI raids, and repressive regimes. (NYT $)
+ AI has given Wikipedia a language problem. (MIT Technology Review)
 
7 SpaceX plans to launch its first model coproduced with Cursor
The new frontier model could arrive as soon as this week. (Information $)
+ It’s built with AI startup Cursor, which SpaceX is buying for $60 billion. (FT $)
 
8 A new academic “humanizer” tool can erase signs of AI-written text
But researchers are very divided over its potential impact. (Nature $)

9 Scientists have detected a mystery chemical on Pluto and Titan
It appears to absorb light in a way we don’t currently understand. (Wired $)

10 A Waymo robotaxi reportedly called the cops on drinking teens
Officers then approached the vehicle with guns drawn. (404 Media)

Quote of the day

“Parents do you know where your teens are? Waymo does!” 

—Local police post on Facebook that a Waymo in California called the cops on two teenagers for “drinking and shooting from the vehicle.”

One More Thing

MICHAEL BYERS


Your boss is watching

Dora Manriquez has spent nine years driving for Uber and Lyft, where every ride she accepts or rejects is tracked by the apps she relies on for work. Having found herself unable to score enough better-­paying rides, she has had to file for bankruptcy. 

App-based employers aren’t the only ones keeping a very close eye on workers today. Jobs today—whether in an office, a warehouse, or your car—can mean constant electronic surveillance with little transparency, and potentially with livelihood-ending consequences if your productivity flags.

All that data is shifting the relationships between workers and managers—and protections are lagging. Read the full story on the widening power imbalance it’s created.

—Rebecca Ackermann

We can still have nice things

A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ Literary worlds collide in this marvellous Dr Seuss/Stephen King mashup.
+ A daring snorkeler saved a dolphin from a suckerfish—and then celebrated with its whole pod.
+ This clever musical project seamlessly constructs an original song from vocal snippets of 50 artists singing US city names.
+ A long-lost wallet from 1970 was recently unearthed, creating a cute time capsule from its owner’s high school years.

Predictors of unfavorable 3-month functional outcome following intravenous thrombolysis with alteplase in anterior circulation acute ischemic stroke: a prospective cohort study

BackgroundIntravenous thrombolysis with alteplase remains the standard reperfusion strategy for acute ischemic stroke (AIS), yet many patients still experience unfavorable outcomes despite timely treatment, underscoring the need for reliable multimodal prognostic markers.ObjectiveTo identify independent clinical, laboratory, and neuroimaging predictors of unfavorable 3-month functional outcome in anterior circulation AIS treated with alteplase, and to develop, internally validate, and benchmark an integrated multivariable model in accordance with TRIPOD.MethodsThis prospective single-center cohort study enrolled 268 consecutive patients with anterior circulation AIS receiving intravenous alteplase within 4.5 h of symptom onset (March 2022–February 2025). Three-month outcome was assessed by the modified Rankin Scale (mRS 0–2 favorable; 3–6 unfavorable) using validated structured instruments administered by blinded raters. Multivariable logistic regression was performed, and the final model was internally validated by 1,000-replicate bootstrap with optimism correction and shrinkage, evaluated by decision curve analysis (DCA), rendered into a nomogram, and benchmarked head-to-head against three previously published reference models using the DeLong test.ResultsOf 268 patients, 99 (36.9%) experienced unfavorable outcomes. Seven independent predictors were identified: early neurological deterioration (adjusted OR 3.45, 95% CI 2.01–5.92), large infarction exceeding one-third of the middle cerebral artery territory (OR 2.78, 1.58–4.89), baseline NIHSS (OR 1.14 per point, 1.07–1.22), poor Tan collateral score (OR 2.31, 1.34–3.98), low clot burden score (OR 2.15, 1.28–3.61), elevated D-dimer (OR 2.19, 1.29–3.72), and elevated CRP (OR 1.87, 1.11–3.15). The model achieved an apparent AUC of 0.847 (95% CI 0.801–0.893) and an optimism-corrected AUC of 0.831 (0.785–0.877) on bootstrap validation, with satisfactory calibration (Hosmer–Lemeshow P = 0.394). DCA showed positive net benefit across threshold probabilities of 0.15–0.75, and the model exceeded the recalibrated Hu, Ping, and Lv models.ConclusionA multimodal panel integrating clinical, inflammatory, coagulation, and neuroimaging parameters independently predicts unfavorable 3-month outcome following intravenous thrombolysis in anterior circulation AIS. The findings are hypothesis-generating pending external validation in independent multicenter cohorts.

Automated diagnosis of Sturge–Weber syndrome by detecting leptomeningeal angiomatosis from MRI using a multi-task deep learning framework

ObjectivesSturge–Weber Syndrome (SWS) is a rare neurocutaneous disorder requiring early and accurate diagnosis. This study aims to develop a deep learning framework for automatic diagnosis of SWS by detecting leptomeningeal angiomatosis (LA) in brain magnetic resonance images (MRI).MethodsThis retrospective study includes 40 SWS patients and 101 healthy controls. T1-weighted MRI were collected over 15 years with different scanners. Multi-scale harmonization was proposed to normalize the images to uniform mean and standard deviation. We developed a deep learning model based on the UNet framework with convolutional neural networks and transformer. A multi-task pipeline was designed to perform LA segmentation and SWS classification. The model was pre-trained on a public dataset and fine-tuned and tested on our dataset using a 5-fold cross validation. The segmentation and classification results were compared with the ground truth and human readers using various metrics at the voxel and LA level.ResultsFor LA segmentation, our model achieved overall Dice, voxel-level sensitivity, specificity, accuracy, and kappa of 0.768, 0.772, 0.992, 0.983, and 0.760, respectively. The LA volume segmented by our model showed a high agreement and consistency with the ground truth, outperforming the human readers. For SWS classification, our model achieved sensitivity, specificity, accuracy, and AUC of 0.974, 1.000, 0.993, and 0.998, respectively.ConclusionWe developed a multi-task learning framework for automated LA segmentation and SWS classification. This single-center proof-of-concept study shows promising performance in both tasks. External validation may boost the clinical application of the developed model, assisting less-experienced neurologists for improved SWS diagnosis.

Knowledge, attitudes, and perception toward new psychoactive substances among Saudi university students: a cross-sectional study

BackgroundNew psychoactive substances (NPS) are defined as chemical compounds that are synthesized or extracted from natural sources with the aim of producing psychoactive effects similar to those produced by controlled substances but not regulated under current legislation. Worldwide, the rise in the use of NPS has been outpacing regulation and education efforts, leading to substantial health risks, especially for the young adults’ population. In Saudi Arabia, substance-use prevention is supported through the Saudi 2030 initiative led by the Ministry of Interior and National Committee for Narcotics Control; nonetheless, most studies conducted at the national level have centered on traditional drugs only.ObjectivesThe purpose of this research was to evaluate the knowledge, attitude, and perception related to NPS among King Faisal University students, and to determine the predictors of better knowledge and permissive attitude.MethodsA cross-sectional study was conducted with 300 students via an anonymous web-based survey questionnaire to assess sociodemographic characteristics and knowledge, attitude, and perception measures. Ethical approval was obtained from King Faisal University (reference no. KFU-REC-2026-MAR-ETHICS4051) on the 12th of March 2025. Chi-squared test/Fisher’s exact test were applied to understand the relationship between sociodemographic variables and level of knowledge, and independent samples t-test/ANOVA for comparison of mean attitude scores. Logistic regression analysis was conducted to identify independent predictors of high knowledge and permissive beliefs.ResultsOut of the respondents (74% females, mean age 18–24 years), (58%) had high levels of knowledge regarding NPS. Access to NPS was easy for (57%), mostly through online media (70.8%) and past usage of NPS was admitted by (39.7%). Significantly greater knowledge regarding NPS was shown by females compared to males (64.0% vs 41.0%; P<0.001), while being male predicted poor knowledge (AOR = 0.407, 95% CI:0.229–0.722, P = 0.002). Prior NPS use (AOR = 2.502, 95% CI:1.209–5.176, P = 0.013) and easy access (AOR = 2.298, 95% CI:1.233–4.285, P = 0.009) independently predicted permissive beliefs. Common use motivations included social gatherings (47.9%), weight loss (40.3%), and stress reduction (37.0%).ConclusionsStudents have moderate to high levels of knowledge, their attitudes towards NPS were significantly influenced by ease of access on the Internet and previous usage experience. This indicates the necessity of educational measures to tackle the increasing threat posed by NPS to Saudi universities.

Memory-focused therapy: an integrated intervention to reduce trauma symptoms, maladaptive cognitive processes, and emotional distress in Afghan youth

BackgroundAfghan youth continue to face chronic war-related trauma, terrorist violence, and severe disruptions to education and social support systems, resulting in high rates of posttraumatic stress disorder (PTSD), depression, anxiety, and hopelessness. There is a critical need for culturally responsive, low-intensity, and feasible psychological interventions that can be delivered in low-resource and unstable settings.ObjectiveThis study conducted a preliminary evaluation of the efficacy, acceptability, and mechanisms of change associated with Memory-Focused Therapy (MFT), an integrative intervention targeting autobiographical memory processing, acceptance-based regulation, and future self-construction among youth affected by the Kaaj Education Center attack in Kabul, Afghanistan.MethodsA single-group repeated-measures design was used with 26 participants assessed at baseline, post-intervention, and three-month follow-up. Standardized measures of PTSD, depression, anxiety, stress, cognitive avoidance, cognitive fusion, resilience, and posttraumatic growth were administered. MFT was delivered in 12 structured group sessions. Additionally, qualitative data from semi-structured interviews and therapist field notes were analyzed using thematic analysis.ResultsQuantitative analyses showed significant reductions in PTSD symptoms, depression, anxiety, stress, cognitive avoidance, and cognitive fusion from baseline to post-intervention, alongside significant increases in posttraumatic growth. Several of these improvements were maintained at follow-up. Qualitative findings reflected four overarching themes: (1) facilitator experiences and implementation challenges in high-risk contexts, (2) improvements in cognitive and emotional processing, (3) growth in meaning, relationships, values, and future orientation, and (4) exposure to traumatic memories and reduced avoidance.ConclusionFindings provide preliminary evidence that MFT is a feasible, acceptable, and potentially effective intervention for trauma-affected Afghan youth. By integrating trauma memory processing, present-moment emotional regulation, and future-oriented meaning-making, MFT appears to support improvements in psychological coherence, self-continuity, and resilience. Further controlled and longitudinal studies are needed to confirm these effects and examine underlying mechanisms.

Parental broad autism phenotype traits and executive function in families of children with autism spectrum disorder

BackgroundParents of children with autism spectrum disorder (ASD) frequently exhibit subclinical Broad Autism Phenotype (BAP) traits, though their relationship with executive function (EF) remains underexplored. This study investigated associations between parental BAP traits and their EF performance.MethodsThe Broad Autism Phenotype Questionnaire (BAPQ) was used to assess the BAP traits in parents of children with ASD and parents of healthy children. Among them 20 of the high-BAP ASD parents with a total BAPQ score exceeding 3.55 and 20 of the parents of typically developing children completed executive function tests. The researchers utilized the flanker, 2-back, and Task-switching paradigm to examine their EF. Correlations analysis was used to analyze BAP-EF relationships.ResultsThe self-reported questionnaires indicated that parents of children with ASD had significantly higher BAPQ scores than non-ASD’s parents, with fathers scoring 41.21% versus 15% (χ2 = 31.628, p < 0.01), and mothers 26.25% versus 8.37% (χ2 = 25.764, p < 0.01). Parents of ASD children exhibited significantly prolonged reaction times on the Flanker task (528.95 ± 78.90 ms vs. 426.80 ± 18.40 ms, T = 15.639, p<0.01), with BAPQ total scores positively correlating with slower responses (R² = 0.2325, p = 0.0313). Paradoxically, they demonstrated accelerated 2-Back incongruent reaction times (537.60 ± 80.21 ms vs. 665.70 ± 137.17 ms, T = 6.715, p=0.001) but reduced accuracy (0.947 ± 0.037 vs. 0.983 ± 0.016, T = 16.875, p<0.01), where BAPQ again correlated with reaction times (R² = 0.2318, p = 0.0316). Crucially, these associations were absent in controls, and BAPQ scores showed no relationship with task accuracy in either group.ConclusionsBAP traits are associated with attentional control challenges (indexed by Flanker Task) and a maladaptive speed-accuracy tradeoffs during working memory demands.