Tag: Academic research

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Biomarker value of plasma endothelial microvesicle-derived circRNA 0006222 in vascular ageing and carotid atherosclerosis

BackgroundEndothelial microvesicles (EMVs) carrying circular RNAs (circRNAs) have emerged as promising novel biomarkers of ageing-associated disorders. This study investigated the potential of plasma EMVs-circ_0006222 as vascular ageing (VA) and carotid atherosclerosis (CAS) biomarkers.MethodsA circRNA microarray was applied to screen for differentially expressed circRNAs in plasma EMVs obtained from CAS participants, VA participants and healthy controls. VA was assessed according to intima thickness, and CAS was evaluated by using computed tomography angiography. The plasma EMVs-circ_0006222 level was determined via qRT-PCR. EMVs-circ_0006222 levels in patients of different ages and with different severities of CAS were compared. The diagnostic potential of EMVs-circ_0006222 was evaluated by using multivariable logistic regression and receiver-operator characteristic (ROC) curve analyses.ResultsA total of 47 healthy controls, 81 VA participants and 216 CAS participants were included in this study. Plasma EMVs-circ_0006222 levels were observed to be negatively associated with age. The plasma level of EMVs-circ_0006222 was markedly reduced in elderly participants, as well as VA and CAS participants; moreover, the decrease was most evident in the CAS group. The plasma EMVs-circ_0006222 level was declined in the severe CAS compared with the mild and moderate CAS subjects. Plasma EMVs-circ_0006222 level was identified by multivariate logistic regression as a significant, independent risk factor for VA and CAS. The areas under the ROC curve of plasma EMVs-circ_0006222 for diagnosing VA and CAS were 0.628 and 0.773, respectively.ConclusionPlasma EMVs-circ_0006222 may serve as a promising biomarker for VA and CAS.
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Verbal fluency after cochlear implantation: a longitudinal comparison with untreated hearing loss in the ELSA cohort

IntroductionHearing loss is associated with accelerated cognitive decline, and auditory rehabilitation via cochlear implantation (CI) may mitigate this trajectory. In the past, the impact of cochlear implantation on different cognitive subdomains has been described. However, verbal fluency (VF), which requires fast semantic retrieval, executive control, and processing speed, and is predictive of dementia risk and overall survival, has been rarely studied and control groups are mostly missing due to ethical reasons. The present study compares long-term VF trajectories in CI recipients and untreated hearing-impaired controls from a large population-based aging study.Materials and methodsVF was assessed in 74 CI recipients (M = 65.6 years, SD = 9.1) at pre-operative baseline and 1, 2, 4.5, and up to 9 years post-implantation, and in 383 untreated hearing-impaired participants (M = 72.6 years, SD = 10.0) from the English Longitudinal Study of Ageing (ELSA) across a comparable time frame. Scores were z-standardized within each study to enable cross-cohort comparison. Linear mixed-effects models were used to compare VF trajectories, with age, sex, and education as covariates.ResultsVF trajectories differed significantly between groups (Time × Study interaction: b = 0.562, p < 0.001). The ELSA cohort showed a steady linear decline over time (b = −0.261, p = 0.001), whereas the CI cohort exhibited an inverted-U trajectory with initial improvement followed by a plateau. After propensity score matching, results remained robust.ConclusionCochlear implantation is associated with more favorable long-term verbal fluency trajectories compared to untreated hearing loss. These findings add to the growing evidence that auditory rehabilitation may help preserve cognitive function in older adults.
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High perceived energy: exploring distinct patterns of energetic and cognitive functioning in older adults

BackgroundA hyperthymic temperament and high perceived energy are often framed as positive dispositional traits, particularly in later life. Indeed, these characteristics are generally associated with a greater tendency to preserve autonomy and with more favorable outcomes in terms of health, engagement, and participation in community life-key dimensions of successful aging. However, the relationship between elevated perceived energy and cognitive performance in older adults remains insufficiently explored. Therefore, this exploratory study aimed to compare cognitive performance and well-being in older adults with different self-reported levels of subjective energy, and to explore potential phenotypic heterogeneity within this population.MethodsWe conducted a cross-sectional study on older adults from the general population. Participants were classified as having higher versus lower levels of perceived energy based on item 10 of the Short Form Health Survey (SF-12) questionnaire. Cognitive performance was assessed using the Addenbrooke’s Cognitive Examination-Revised (ACE-R). Depressive symptoms were evaluated with the Patient Health Questionnaire-9 (PHQ-9), biological and behavioral rhythm regulation with the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN), and quality of life with the SF-12 were also evaluated to characterize overall well-being.ResultsStatistically significant difference emerged in global cognitive performance between individuals with higher versus lower perceived energy (ES ACE-R p=0.012). Although subscale scores were within the normative range in both groups, individuals with higher perceived energy consistently showed significantly lower scores in language (p = 0.011) and attention/orientation (p = 0.049) compared to the lower perceived energy group. Interestingly, the higher perceived energy group also reported fewer depressive symptoms (p = 0.013), better social and behavioral rhythm regulation (p = 0.005), and higher quality of life (p < 0.001).Discussion/ConclusionsHyperenergy in older adults with preserved well-being is not associated with global cognitive impairment, but rather with subtle domain-specific performance variations, suggesting a heterogeneous underlying profile. These findings support a high-energy profile that does not appear to be associated with functional impairment, but is instead characterized by preserved or enhanced functioning and overall well-being, despite selective areas of lower performance. Longitudinal studies are needed to clarify its clinical and cognitive implications.
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Beyond Theory of Mind: mentalization as a relational and developmental framework for autism

Autistic individuals and those around them often navigate social and emotional situations in which behaviors, intentions, and affects are difficult to interpret. Supporting mentalizing processes within child–caregiver interactions may help address these challenges; however, a broader conceptual shift is needed, moving beyond a narrow deficit-based perspective toward understanding mentalization as a multidimensional, relational, and developmental process. By shifting the focus from individual deficits to child–caregiver meaning-making processes, this framework may help clarify assessment and intervention targets and inform future research on psychopathological vulnerability in autism. This targeted narrative mini-review therefore aimed to summarize preliminary evidence suggests that other-related mentalizing may show greater difficulties than self-related mentalizing, although this hypothesis requires further replication. Findings also highlight caregiver mentalization, particularly parental reflective functioning, as a key relational process shaping how children’s behavior is interpreted, regulated, and responded to over time. In this light, preliminary intervention studies suggest that mentalization-based and mentalization-informed approaches may improve parental reflective functioning, cognitive reappraisal, self-efficacy, and inferential style, with potential indirect benefits for children’s emotional outcomes. We therefore propose a relational-developmental framework in which mentalization is conceptualized as a shared and dynamic process of meaning-making under conditions of social and emotional ambiguity. Adopting an individual, relational and developmentally informed perspective may contribute to the development of more precise assessment models, more targeted interventions, and a deeper understanding of mental health vulnerability in autism.
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Construction and validation of multiple machine learning models for influencing factors of postpartum post-traumatic stress disorder in primiparas

ObjectiveTo analyze the multidimensional factors associated with postpartum post-traumatic stress disorder (PP-PTSD) in primiparas based on the Integrated Framework for Population Health Risk Management (IFPHRM), multiple machine learning-based predictive models were constructed and externally validated to identify high-risk individuals and to provide a robust evidence base for targeted preventive interventions.MethodsThis cross-sectional study consecutively enrolled 1, 135 primiparous women from the Department of Obstetrics at Hefei Maternal and Child Health Hospital between June 2024 and May 2025. Participants were divided chronologically into a training cohort and an independent temporal validation cohort. Women recruited from June 2024 to January 2025 were included in the training cohort (n = 794), whereas those recruited from February 2025 to May 2025 were included in the temporal validation cohort (n = 341). At six weeks postpartum, PP-PTSD symptoms were assessed using the Post-traumatic Stress Disorder Checklist-Civilian Version (PCL-C), with a score ≥38 indicating probable PP-PTSD. Multidimensional variables, including physiological and psychological factors, environmental and family-related factors, and social-behavioral factors, were collected. Candidate predictors were first screened using univariate analysis and then selected using least absolute shrinkage and selection operator (LASSO) regression. Multivariable logistic regression was used to identify independent associated factors. Seven machine learning models, including Logistic Regression, Naive Bayes, Support Vector Machine, Decision Tree, Gradient Boosting, AdaBoost, and Linear Discriminant Analysis, were constructed. Model performance was evaluated in the independent temporal validation cohort using receiver operating characteristic curves, calibration curves, decision curve analysis, and the DeLong test. SHAP analysis was used to interpret the optimal model.ResultsAmong the 794 participants in the training cohort, the incidence of PP-PTSD was 25.18%. Five key predictors were selected by LASSO regression: social support, depression, neonatal caregiving style, husband’s participation, and sleep quality. Multivariable logistic regression showed that depression and poor sleep quality were associated with an increased risk of PP-PTSD, whereas higher social support, greater husband’s participation, and parental assistance in neonatal care were associated with a reduced risk. Among the seven models, the Gradient Boosting model achieved the best overall performance in the temporal validation cohort, with an AUC of 0.939, F1 score of 0.700, specificity of 0.943, sensitivity of 0.651, and Youden index of 0.595. The DeLong test showed that Gradient Boosting performed significantly better than Logistic Regression. SHAP analysis further indicated that social support, husband’s participation, sleep quality, and depression were the major contributors to model prediction.ConclusionPostpartum PTSD (PP-PTSD) exhibits a higher incidence among primiparous women and exerts substantial adverse effects on maternal mental health, the mother–infant relationship, and overall family functioning. Guided by the Integrated Framework of Perinatal Health Risk Management (IFPHRM), this study elucidated the multidimensional mechanisms underlying PP-PTSD, encompassing physiological and psychological factors (e.g., sleep quality and depression), environmental and occupational factors (e.g., social support, paternal involvement, and infant caregiving practices), and social behavioral factors. The Gradient Boosting prediction model demonstrated robust performance and high predictive accuracy upon independent external validation, highlighting its potential utility for risk stratification and future clinical translation. Nevertheless, multicentre validation and the development of clinically implementable tools are warranted. Collectively, this study offers a theoretical foundation and methodological framework for the early identification, targeted intervention, and long-term health management of PP-PTSD in primiparous women.
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The Download: a useful quantum machine and a record-breaking subsea tunnel

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.

PsiQuantum has a plan to make a massive quantum computer out of light

The machine that could change the world will be housed in a room that looks like a data center crossed with an ice cream factory. 

Inside, some 100 stainless-steel cabinets each hold hundreds of chips. On those chips, thousands of light particles will fly through a maze of optical switches and beam splitters. Each photon must be accounted for, because precisely measuring where it ends up will help answer questions that current computers might take millions of years to solve.

This computer, as described, does not exist. It’s the brainchild of a company called PsiQuantum, founded in 2016 by four physicists from UK universities. In a crowded field of deep-pocketed competitors with similarly fantastical visions, the company aims to be the first to build a useful quantum machine.

Read the full story on the company’s quest.

—James O’Donnell

MIT Technology Review Narrated: inside the world’s deepest and longest subsea road tunnel

—Niall Firth

I’m currently around 1,000 feet beneath the North Sea, in a dark, dank cave. It smells weird. And I’m increasingly aware of the pressure from millions of tons of seawater just above my head.

I’m under the iconic fjords of Norway to visit what will soon become the world’s longest and deepest subsea road tunnel—an exceptional engineering feat that will carry drivers deep beneath the North Sea.

I’m here to understand how you make a 16.6-mile highway that sits 1,280 feet below the sea at its deepest point. And also—at a time when it can feel hard to get anything done—to reassure myself that ambitious engineering is still possible. That we can still make things. 


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 Meta allegedly used AI to target workers with health issues for layoffs
Their lawsuit says Meta relied on AI to create a termination list. (Guardian)
+ And pinpointed staff who took maternity or disability leave. (Reuters $)
+ One was allegedly informed the day before her water broke. (Ars Technica)
+ The layoffs aimed to offset Meta’s AI spending. (Gizmodo)
+ AI agents are not your “coworkers.” (MIT Technology Review)

2 OpenAI’s first consumer device will be a mobile smart speaker
The screenless device will serve as an “AI companion.” (Bloomberg $)
+ It’ll let you talk with ChatGPT. (Verge)
+ And use a camera and sensor to understand your environment. (Reuters $)
+ It’s set to launch next year. (Engadget)
 
3 The US military sent explosive drone boats into combat for the first time
They attacked an Iranian midget submarine and naval port. (Ars Technica)
+ Underwater drones may shape a war in Taiwan. (MIT Technology Review)
 
4 DeepMind’s CEO has called for a US-led body to test frontier AI models
Demis Hassabis wants the watchdog to vet national security threats. (FT $)
+ If dangers mount, it would coordinate an industry-wide slowdown. (Axios)
 
5 Data centers are set to add billions in power costs in 13 states
A power auction is slated to produce $6.3 billion in new charges. (NYT $)
+ Australia plans to govern the use of water and power for AI. (WSJ $)

6 xAI’s unpermitted power pollution hits Black communities hardest
Elon Musk’s xAI has been installing gas turbines without permits. (Reuters $)
+ We need to focus on Big Tech’s energy footprint. (MIT Technology Review)
 
7 Stripe and Advent have offered to buy PayPal for more than $53 billion
The payments giant and private equity firm have made a joint bid. (Reuters $)
+ Apple and Google Pay have eroded PayPal’s market share. (Bloomberg $)

8 DeepSeek plans to file for IPO as soon as this year
The Chinese AI pioneer is likely to list in Shanghai. (WSJ $)
+ Here’s why DeepSeek’s latest model matters. (MIT Technology Review)

9 A hard, lightweight “bio-metal” has been discovered in sea worm jaws
It could have applications in engineering. (New Scientist $)

10 A new $3,000 fitness suit electrocutes you to boost your gains
Celebrities love it—but not everyone’s a fan. (404 Media) 

Quote of the day

“By economic and engineering measures, generative AI might be the worst technology ever deployed.” 

—Alex Reisner, a staff writer at The Atlantic, explains why GenAI’s scaling problem is an engineering disaster.

One More Thing

""

FRANZISKA BARCZYK


Hackers made death threats against this security researcher. Big mistake.

In April 2024, an anonymous hacker began posting death threats on Telegram and Discord channels aimed at a cybersecurity researcher named Allison Nixon. It wasn’t long before others piled on. Someone shared AI-generated nudes of her.

They targeted Nixon because she had become a formidable threat. As chief research officer at the cyber investigations firm Unit 221B, named after Sherlock Holmes’s apartment, she had built a career tracking cybercriminals and helping get them arrested. 

For years, Nixon had lurked quietly in online chat channels or used pseudonyms to engage with perpetrators and bring them to justice. Now, she resolved to unmask the people behind the death threats—and take them down for crimes they admitted to committing. 

Find out why they learned to regret their choice of target.

—Kim Zetter

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.)

+ A musician has discovered the true masters of metal breakdowns: birds.
+ Photographer Fontanesi’s surreal photo splits transform everyday images into spectacular hybrid scenes.
+ Over 30 actors, filmmakers, and friends recount how Steven Spielberg infiltrated Hollywood in this terrific article.
+ Who would win the World Cup if less important things than soccer decided it, like life expectancy and happiness? A new game tests your knowledge.

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Clinical Trial of MDMA-Assisted Therapy for Military Service Members With Posttraumatic Stress Disorder

Conditions: PTSD; Post Traumatic Stress Disorder PTSD; Post Traumatic Stress Disorder

Interventions: Drug: TREATMENT ARM: Full dose; Drug: CONTROL ARM: Active-controlled

Sponsors: U.S. Army Medical Research and Development Command; Resilient Pharmaceuticals; Walter Reed National Military Medical Center; Congressionally Directed Medical Research Programs

Not yet recruiting