Microbiome Therapy Could Help Drug-Resistant Melanoma Patients

Microbiotica, a microbiome-focused biotech based in Cambridge in the U.K., has achieved good Phase Ib results in a trial of its microbiome therapy for patients with advanced melanoma skin cancer.

The therapy, currently known as MB097, is designed to be given to patients who have not previously responded to immunotherapy in addition to a checkpoint inhibitor pembrolizumab. MB097 was developed to reverse the drug resistance seen in these patients and is based on research looking into the gut microbiome of melanoma patients who do respond to this kind of immunotherapy.

The primary endpoint of the trial, which included 41 patients from the U.K., France, Italy, and Spain, who had previously shown resistance to anti-PD-1 drugs, was safety and tolerability of MB097. Several secondary endpoints including response rate, duration of response, and overall survival were also included. The therapy, which contains nine beneficial strains of gut bacteria, met both its primary and secondary endpoints in the study, according to the company, although precise details will be released at a scientific conference later this year.

“There is increasing evidence that the microbiome plays a crucial role in patients’ response to immune checkpoint inhibitors. Clinical benefit has been reported with fecal microbiota transplantations, while MB097 capsules taken orally each day affords an easy and reproducible way of modifying the microbiome,” said the national coordinating investigator for the study, Pippa Corrie, MD, PhD, a clinician and researcher from Cambridge University Hospitals NHS Foundation Trust, in a press statement.

“The MELODY-1 study results show that MB097 is well tolerated, with encouraging early signs of efficacy in a very difficult to treat metastatic melanoma patient population with primary resistance to anti-PD-1 based immunotherapy, in whom there is a significant unmet need.”

Up to half of all advanced melanoma patients fail to respond to anti-PD-1 immunotherapy, leaving them with very few options. A growing body of research, including a 2021 study showing fecal transplant can overcome resistance to anti-PD-1 immunotherapy, shows that the gut microbiome plays an important role in whether a patient’s immune system mounts an effective anti-tumor response when given these therapies.

The make-up of MB097 is based on detailed research looking at strains of bacteria linked to effective response to immunotherapy. Preclinical work showed that the bacteria in the therapy directly activate cytotoxic T cells and counter immunosuppressive tumor macrophages. If larger controlled trials confirm these initial results MB097 could become a standard add-on to immunotherapy.

Microbiotica has another clinical program in ulcerative colitis, which also reported good results earlier this year in another Phase Ib trial. In total, 63% of those in the treatment group achieved clinical disease remission versus 30% in the placebo group and all were also taking standard therapy for the autoimmune disease.

The company now plans to move both its programs to larger controlled studies with a view to moving closer to market approval with both therapies.

The post Microbiome Therapy Could Help Drug-Resistant Melanoma Patients appeared first on Inside Precision Medicine.

What to expect from Google this week

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When Google opens its doors tomorrow for its annual developer conference, I/O, it will do so as a clear third place in the foundation model race. A year ago, at Google I/O 2025, the situation looked very different: The company was still riding high from the launch of Gemini 2.5 Pro that March, and distinguishing among the top-tier large language models often felt like a subjective splitting of hairs. 

But a foundation model’s reputation these days rests largely on its coding capabilities, and for months Google’s coding tools have been outgunned by Anthropic’s Claude Code and OpenAI’s Codex. Those systems are so dramatically superior to Google’s own offerings that the company has reportedly had to allow some engineers at DeepMind, its AI division, to use Claude for their work—lest they fall farther behind.

So when I arrive at the conference in Mountain View, California tomorrow, I’ll certainly be on the lookout for any efforts Google is making to claw its way back into frontrunner position. But I’m also eager to see new developments in areas where Google shapes the cutting edge, such as AI for science. The company’s moves there might receive less attention, but they will be no less consequential. 

Here are three things I’ll be paying particular attention to over the next two days.

An attempted coding comeback

Google is taking its AI coding crisis seriously. According to reporting from The Information, there’s a new AI coding team at DeepMind. And the Los Angeles Times has reported that John Jumper, who shared a 2024 Nobel Prize in chemistry with DeepMind CEO Demis Hassabis for their work on the protein structure prediction software AlphaFold, is lending his talents to the efforts. I would be surprised if we don’t see a major new coding release at I/O, perhaps in the form of an update to the company’s Antigravity agentic coding platform.

That said, we shouldn’t expect anything transformative here. Googlers have access to models and products that are substantially ahead of those released to the public, yet they were still reportedly fighting over who got access to Claude Code last month. Unless the company has made astonishing progress since then, Google probably won’t make it back to the coding frontier in the next two days.

Science and health

Coding might be Google DeepMind’s weakness, but science is its conspicuous strength. It is the only frontier AI company to have earned a Nobel Prize. And as LLMs have come to dominate the AI-for-science landscape, Google has only solidified its lead. Last year, the company released multiple scientific AI tools, including the AI co-scientist, which formulates hypotheses and research plans in response to user questions and has been described as an “oracle” by one Stanford scientist, and AlphaEvolve, a system that iteratively discovers new solutions for mathematical and computational problems. If any new scientific tools are announced at I/O, they’ll be worth noting.

I’ll also be paying close attention to any moves Google makes in health and medicine. Google is doing some of the best research out there on LLM-based health tools, but OpenAI has defined the health AI conversation since the release of ChatGPT Health in January. Google has announced that it will be making its AI-powered Health Coach publicly available tomorrow, but promotional material suggests that the tool is geared more toward providing advice on topics such as fitness and diet than to addressing users’ medical concerns. Is this another area where Google has fallen behind, or is the company exercising appropriate caution in a high-stakes domain? 

The drama

While Google fans congregate down in Mountain View, roughly 30 miles north in Oakland the Elon Musk v. Sam Altman trial will be wrapping up. The past few months have seen more than their fair share of AI CEO drama—before the trial, the animosity between Altman and Anthropic CEO Dario Amodei took center stage as Anthropic and OpenAI worked to negotiate deals with the US Department of Defense. But DeepMind’s Hassabis has, for the most part, steered clear of such drama. He effectively presents himself as a Nobel Prize-winning nerd, and if he has written screeds about any of his peers, they haven’t been leaked to the press or appeared in legal discovery.

That’s not to say that Google is controversy free. Last month, a group of 600 employees, many of whom work for DeepMind, sent a letter to CEO Sundar Pichai protesting an impending DoD deal. Google signed that deal the next day. Hassabis, Pichai, and all the other big names will surely do their best to skirt these and other touchy subjects while on stage, but controversies will worm their way in regardless. It will be interesting to see whether Google can maintain its veneer of neutrality.

Genetic and clinical investigation of insulin-degrading enzyme in Parkinson’s disease within the Chinese Han population

IntroductionGrowing evidence suggests a mechanistic link between type 2 diabetes mellitus and Parkinson’s disease (PD), with insulin-degrading enzyme (IDE) implicated in both insulin and amyloid-β metabolism, as well as α-synuclein degradation. However, the role of IDE in PD pathogenesis remains insufficiently defined. This study aimed to investigate the association of IDE gene polymorphisms and serum IDE levels with sporadic PD in a Chinese Han population.MethodsFourteen single nucleotide polymorphisms (SNPs) within the IDE gene were genotyped in 463 patients with sporadic PD and 576 age- and sex-matched healthy controls (HCs). An independent cohort of 100 PD patients and 100 HCs was used to quantify serum IDE concentrations. Correlations between IDE levels and clinical features were assessed. Logistic regression was employed to identify independent factors associated with PD.ResultsAmong the examined SNPs, rs11187007 showed a nominal allelic association with PD (P = 0.046), which did not survive the Bonferroni correction. Serum IDE concentrations were significantly higher in PD patients than in HCs (P = 0.015). Elevated IDE levels were negatively correlated with Mini-Mental State Examination scores (R = –0.230, P = 0.027) and positively associated with more severe symptoms. Logistic regression indicated that elevated serum IDE levels were associated with PD.ConclusionOur findings highlight that elevated serum IDE correlates with PD, suggesting a role for IDE in neurodegeneration, warranting further mechanistic and longitudinal studies to evaluate its potential as a therapeutic target in PD.

Multivariate age-related variations in quantitative MRI maps: widespread age-related differences revisited

This study applied multivariate ANOVA to investigate age-related microstructural changes in the brain tissues driven primarily by myelin, iron, and water content, as observed in MRI (semi-)quantitative R1, R2*, MTsat and PD maps. This is effectively a re-analysis of the data analyzed in a univariate way in a previous publication. Voxel-wise analyses were performed on gray matter (GM) and white matter (WM), in addition to region of interest (ROI) analyses. The multivariate approach identified brain regions showing coordinated alterations in multiple tissue properties and demonstrated bidirectional correlations between age and all examined modalities in various brain regions, including the caudate nucleus, putamen, insula, cerebellum, lingual gyri, hippocampus, and olfactory bulb. The multivariate model was more sensitive than univariate analyses, as evidenced by detecting a larger number of significant voxels within clusters in the supplementary motor area, frontal cortex, hippocampus, amygdala, occipital cortex, and cerebellum bilaterally. Though when cross validating the results by splitting the data into 2 subsets, sensitivity is strongly reduced, even more so for the multivariate approach. The examination of normalized, smoothed, and z-transformed maps within the ROIs revealed concurrent age-dependent alterations in myelin, iron, and water content. These findings contribute to our understanding of age-related brain differences and provide insights into the underlying mechanisms of aging. The study emphasizes the importance of multivariate analysis for detecting subtle microstructural changes associated with aging when dealing with multiple quantitative MRI parameter maps.

Neurocognitive function among individuals with problematic social media use

BackgroundWith the development of technology and the internet, social networks gained momentum quickly and play a central role in daily activities. Despite this, there is a public health concern over excessive or problematic social media use. There is also a debate whether excessive social media use should be considered as a behavioral addiction characterized by impulsivity or an impulse control disorder characterized by compulsivity. The goal of this study is to use neurocognitive tasks to investigate impulsivity and compulsivity among excessive social media users compared with non-excessive users.MethodThe study included 79 participants (age range 18 to 37), divided into two groups: 34 participants who excessively use social media (Mean Age = 23.03, SD = 2.71) and 45 participants who do not excessively use social media (Mean Age = 25.47, SD = 4.3). Participants filled out a demographic questionnaire, questionnaires on social media use, impulsivity, compulsivity, anxiety, and depression. They performed computerized cognitive tasks: GO/NO-GO (with Facebook and traffic sign pictures), Experimental Delay Discounting (EDT), and the Wisconsin Card Sorting Test (WCST).ResultsExcessive users of social media exhibited a lower ability to delay gratification on the EDT, indicating impulsivity. They made fewer non-perseverative errors on the WCST, which indicated high flexibility and test shifting, which is a contradicting evidence for compulsivity. Furthermore, on the GO/NO-GO task, individuals who excessively use social media made more omission errors in response to the “Facebook” sign compared to traffic signs (GO condition), indicating impaired selective attention. Finally, they also showed higher subjective ratings of anxiety, depression, impulsivity, and compulsivity.DiscussionThe results of this study provide evidence for impulsivity indicated by delay discounting tendency, which supports the behavioral addiction model, impaired selection attention and lack of evidence for compulsivity in excessive social media users. Further research on neurocognitive function in excessive social media users is required in order to determine whether it should be considered a behavioral addiction or an impulse control disorder.

Microstructural abnormalities in the ATR and VOF underlie tone awareness deficits in Chinese children with developmental dyslexia: a DTI study

ObjectiveTone awareness is crucial for reading in Chinese children, significantly affecting those with developmental dyslexia (DD). This paper identifies microstructural abnormalities in the inferior fronto-occipital fasciculus (IFOF), uncinate fasciculus (UF), anterior thalamic radiation (ATR), and vertical occipital fasciculus (VOF) in Chinese children with DD and evaluates their potential relationships with tone awareness and DD.Methods35 children with DD and 64 typically developing (TD) children were recruited from Guangdong Province, China. Diffusion tensor imaging (DTI) measured mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD), and fractional anisotropy (FA). The Tone Awareness Judgment Task was used to measure tone awareness. Generalized linear regression and mediation models were used to explore associations and mediating effects.ResultsChildren with DD showed significantly lower MD, AD, and RD values in the bilateral IFOF and ATR, and right VOF compared to TD children, with no significant FA abnormalities. Limited associations between white matter microstructure and tone awareness were observed in the bilateral ATR and right VOF, but these associations did not survive multiple-comparison correction. Tone awareness mediated the relationships between microstructural abnormalities in the bilateral ATR and right VOF and DD.ConclusionsMicrostructural abnormalities in the bilateral ATR and right VOF may be related to DD partly through tone awareness, although direct associations between tract microstructure and tone awareness were limited.

Heatwave-related variations in psychiatric consultations and admissions: a time-series analysis

BackgroundHeatwaves are becoming increasingly frequent and intense across Europe, posing significant risks to physical and mental health. Emerging evidence suggests that prolonged exposure to high temperatures may exacerbate psychiatric symptoms and increase the demand for acute mental health services.ObjectivesThis study examined the relationship between extreme heat events and psychiatric service utilization in Bolzano, Italy, by analyzing emergency psychiatric consultations and acute psychiatric admissions across three non-consecutive years.MethodsA retrospective observational analysis was conducted using daily psychiatric consultations in the Emergency Department (ED) and daily admissions to acute psychiatric wards from 2013, 2018, and 2023. Meteorological data were obtained from the provincial environmental agency. Time-series analyses employed ARIMA models, incorporating daily minimum and maximum temperatures, tropical nights, and a cumulative heatwave index (n_hot_htwv). Model selection was based on BIC, and the effect of exogenous temperature variables was evaluated through changes in AIC. Residual diagnostics guided the inclusion of weekly seasonal dummy variables.ResultsNon-seasonal ARIMA models with day-of-week dummies provided the best fit for both consultations and admissions. Adding the cumulative heatwave variable (n_hot_htwv) consistently improved model fit across all years, whereas minimum and maximum temperatures alone did not. Heatwave duration emerged as a more sensitive predictor of psychiatric service utilization than isolated temperature peaks. No evidence of yearly seasonality was found, and residual diagnostics supported the robustness of models including weekly dummy variables.ConclusionHeatwaves are associated with increased psychiatric consultations and hospital admissions in Bolzano, with cumulative heat exposure representing a critical determinant. These effects cannot be explained solely by seasonal patterns, suggesting an independent climatic influence. Given the projected rise in heatwave intensity and duration, mental health services should incorporate climate-responsive planning and early-warning strategies.

The trajectories of Demoralization Syndrome and its related factors among elderly patients with end-stage kidney disease: a longitudinal study

ObjectiveElderly ESKD patients frequently experience a range of psychosocial difficulties, with Demoralization Syndrome (DS) being especially prevalent. This study sought to delineate distinct longitudinal trajectories of DS and to examine factors associated with trajectory membership.MethodsA prospective longitudinal cohort of 363 elderly ESKD patients was recruited from Department of Nephrology in grade a hospital in Anhui, China from January 2023 to December 2025. DS was measured 4 time points from the first hemodialysis session after diagnosis to the 18 month follow-up. LCGM was applied to identify latent DS trajectory classes. Differences among classes were explored with the Two-way ANOVA, Wilcoxon rank-sum test, and multinomial logistic regression was used to assess associations between baseline characteristics and trajectory membership.ResultsThree DS trajectories were identified: Severe Class (54.0%), Moderate Class (41.6%), and Mild Class (4.4%).Membership in the more adverse trajectories was significantly associated with higher use of negative coping styles, lower perceived social support, lower Barthel Index scores, and more negative perceptions of aging (all P < 0.05).ConclusionsConsiderable heterogeneity in DS trajectories exists among elderly ESKD patients, with the majority following a severe pattern. These findings suggest that clinicians should monitor physical and cognitive functioning, regularly assess DS levels, and consider interventions targeting social support and coping strategies to mitigate worsening demoralization over time.

Spatial proteomic analysis in human Alzheimer’s disease brains enables identification of microenvironment-dependent microglial cell states

Nature Neuroscience, Published online: 18 May 2026; doi:10.1038/s41593-026-02267-3

Myeloid cells show marked heterogeneity in Alzheimer’s disease. This study introduces CODEX-CNS, a single-cell spatial proteomics pipeline, and identifies a human microglial subpopulation enriched in Alzheimer’s disease brains that associates with dense amyloid-β plaques.