Autonomic-vascular dysregulation in CKD-associated hypertension: a narrative review with evidence hierarchy

Hypertension and chronic kidney disease frequently coexist and mutually accelerate cardiovascular and renal injury. This narrative review prioritizes direct human autonomic phenotyping (Level 1: microneurography, HRV/BRS), human vascular correlates (Level 2: PWV, FMD), and complementary preclinical evidence (Level 3) to elucidate autonomic-vascular mechanisms. Autonomic imbalance, characterized by sympathetic overactivity and reduced parasympathetic restraint, represents a key interface between neural control and vascular pathology in this setting. This narrative review synthesizes experimental and clinical evidence on how the autonomic nervous system shapes vascular function in hypertension and CKD. We outline physiological autonomic control of vascular tone (baroreflex pathways, central networks, brain–kidney communication), characteristic autonomic alterations in hypertension (elevated MSNA, impaired HRV/BRS), and their vascular consequences (endothelial dysfunction, arterial stiffness). We emphasize CKD-specific autonomic drivers (renal afferents, uremic toxins, inflammation) and their translation to exaggerated vascular injury and adverse BP phenotypes. Finally, we discuss pharmacological/device-based strategies targeting autonomic–vascular pathways, highlighting opportunities for neuromodulation, biomarker-guided risk stratification, and individualized treatment. By integrating multidisciplinary evidence, this review frames CKD hypertension as amplified autonomic–vascular injury and positions the autonomic nervous system as a promising therapeutic target.

Serum cystatin C levels are independently correlated with cognitive impairment in individuals with cerebral small vessel disease

Background and purposePrevious studies have shown that serum cystatin C (CysC) is associated with cerebral small vessel disease (CSVD) and that elevated CysC levels are linked to an increased risk of cognitive impairment in the elderly. However, whether CysC is specifically associated with cognitive impairment in patients with CSVD remains unclear.MethodA total of 334 CSVD patients with available demographic, blood biomarker, and brain imaging data were included. Patients were divided into vascular cognitive impairment and normal cognition groups. Univariate analysis was used to compare baseline data, blood biomarkers, imaging features, and behavioral scores between the two groups. Binary logistic regression was used to evaluate the diagnostic value of cystatin C for CSVD-related cognitive impairment.ResultsCompared with the normal cognition group, the VCI group exhibited significantly elevated serum levels of CysC, homocysteine, urea nitrogen, creatinine, uric acid, fibrinogen, and D-dimer, along with a lower red blood cell count. The VCI group also showed a higher prevalence of severe periventricular white matter hyperintensity, severe deep white matter hyperintensity, severe total white matter hyperintensity, and brain atrophy. The combination of these eight blood biomarkers markedly improved the diagnostic performance for VCI (AUC = 0.672, 95% CI: 0.615–0.730, p < 0.001). Multivariate analysis revealed that elevated CysC levels (OR = 2.677, p = 0.041), age (OR = 1.067, p < 0.001), and severe total WMH (OR = 2.713, p < 0.001) were associated with CSVD-related cognitive impairment. After adjusting for confounding variables, serum CysC levels remained independently correlated with cognitive impairment (OR = 3.257, 95% CI: 1.192–8.899, p = 0.021).ConclusionSerum CysC levels are independently associated with cognitive impairment in CSVD patients.

Acupoint temperature as a biomarker: infrared thermography in the diagnosis of adolescents with major depressive disorder

BackgroundThe prevalence of adolescent major depressive disorder (MDD) is rising; however, diagnosis relies on subjective measures due to a lack of objective biomarkers. This study explored infrared thermography (IRT) as a non-invasive tool to quantify thermal radiation characteristics of acupoints in adolescents with MDD. The objective was to establish diagnostic models based on acupoint temperature-derived biomarkers.MethodsA prospective, multi-center observational study enrolled 108 participants (65 adolescents with MDD and 43 healthy controls [HCs]). We first examined correlations between acupoint temperatures and depression severity using Pearson analysis. Multiple linear and binary logistic regression models were developed to diagnose MDD and assess severity. The diagnostic model for MDD was visualized as a nomogram and validated using Receiver Operating Characteristic (ROC) curves, Hosmer-Lemeshow tests, calibration plots, and decision curve analysis (DCA). Internal validation was performed using the bootstrap method.ResultsAmong 27 acupoints analyzed, adolescents with MDD exhibited altered acupoint temperatures at Taiyang (EX-HN5), Quchi (LI11), Yanggu (SI5), and Waiqiu (GB36). Subsequent Pearson correlation analysis revealed negative correlations between the infrared relative temperatures of Taiyang (EX-HN5), Quchi (LI11), and Waiqiu (GB36) and depression severity (P = 0.001, r = -0.319; P = 0.022, r = -0.229; P = 0.001, r = -0.325) and a weak positive correlation between the infrared relative temperature of Yanggu (SI5) and depression severity (P = 0.043, r = 0.202). Building on these findings, two diagnostic models were developed: a linear regression model for depression severity of adolescents (Y = 52.25-9.52*TEX-HN5-13.07*TGB36) and a logistic regression model for adolescents with MDD diagnosis (P = ex/(1+ex), x = 0.22-1.14*TEX-HN5+0.45*TSI5-2.19*TGB36). The nomogram-based model demonstrated good calibration (Hosmer-Lemeshow P = 0.855), discrimination (AUC = 0.785, 95%CI: 0.693 – 0.876), and clinical utility. Internal validation using the bootstrap method produced a C-index of 0.752 (95% CI: 0.617 – 0.877), further confirming the model’s robustness.ConclusionsIn conclusion, acupoint temperature-based models show promising efficacy for the objective and non-invasive diagnosis and severity quantification of adolescents with MDD, offering valuable tools for early clinical intervention. Future studies should validate these findings across diverse populations and integrate multi-modal biomarkers to enhance diagnostic precision.Clinical Trial RegistrationClinicalTrials.gov, identifier NCT06750640.

Multi-Cancer Early Detection Goes Global and Gets Personal

The video starts simply: a couple at home, music playing, dogs in the background. Allison Barry smiles as she talks about the rhythms of her life with her husband Chris, how they’ve built a life together that’s carefully planned, structured, and anchored around work and the future. Vacations could be put off. Retirement would be the time to explore.

Barry loved her job. As senior director of portfolio communications at Exact Sciences, she was deeply involved with the launch of Cancerguard, a new multi-cancer early detection (MCED) test. The day that Cancerguard became available, September 10, 2025, would be a day to remember. “We were in New York at the New York Stock Exchange, and [the announcement of Cancerguard] was on the big billboard,” said Barry in the video released by Exact Sciences a month ago. “It was one of the proudest moments of my entire life.”

But that wasn’t the only notable event of the day. Barry did one other thing—she ordered the Cancerguard test, expecting a negative result. Then the tone in the video shifts. Barry’s test was positive. “She was the very first positive result,” Tom Beer, MD, then chief medical officer (CMO) at Exact Sciences, told me as we watched the video about Barry’s experience with Cancerguard. “She literally ordered it the first day.”

What follows is a blur of scans, fear, and uncertainty until doctors find a tumor the size of a football (22 cm). The diagnosis: stage-one mucinous ovarian cancer, a disease that is almost always caught too late. Surgery follows. The outcome is positive. That all happened in the span of six months. Today, Barry is cancer-free.

A test for unscreened cancers

Beer and the team at Exact Sciences have spent years designing Cancerguard, named in the same vein as the company’s flagship product Cologuard, to identify cancers that currently lack effective screening options and to catch them earlier, when treatment is more likely to succeed.

Tom Beer - MCED
Tom Beer, MD, CMO for MCED at Abbott Cancer Diagnostics

Cancerguard is a multi-biomarker MCED classifier that combines two types of biological signals: cell-free DNA (cfDNA) methylation and protein biomarkers. Each is analyzed separately, then integrated into a single result. If either signal is positive, the test flags a potential cancer. “They’re complementary sources of information,” Beer explained.

Beer’s colleague Frank Dielh, PhD, presented new data during the AACR 2026 conference showing that the multi-biomarker MCED approach used in the Cancerguard test improves cancer detection across stages by combining these two signals, with each set of biomarkers contributing independently to overall performance.

The prospective case-control study of 3,163 participants showed detection was driven by cfDNA methylation alone in 47.1% of cases, protein alone in 7.4%, and both in 45.5%, with no false positives showing both markers, underscoring the value of a multi-signal approach for earlier and broader detection.

But what’s most valuable, according to Beer, is the stages that the combined scores provide. Across a broad range of cancers, sensitivity increases from about 24% in stage one to 90% in stage four. While those early-stage numbers may seem modest at first glance, Beer emphasized the context. “We’ve been really focused on early-stage sensitivity as our North Star,” said Beer. “We’re screening for cancers that currently have zero effective screening. So, even incremental sensitivity is meaningful.”

By layering different biological signals, the test builds a more complete picture: one that is particularly valuable when tumors are small and harder to detect.

Going global and human impact

In November 2025, a couple months after Cancerguard launched, Exact Sciences made a deal to be acquired by Abbott, a major bet for the medical device and healthcare company on cancer diagnostics. While the technology for Cologuard and Cancerguard was already in development at Exact, the scale of deployment changes dramatically with access to a global healthcare network. “Abbott has a truly global presence,” Beer said. “Relationships with health systems and governments around the world. That changes how we think about opportunity.” An ongoing study in Japan reflects that shift.

On December 11, 2025, Exact Sciences launched the CRANE (Cancer Recognition and Assessment through Non-invasive Evaluation) Study in Japan—a large, multi-center trial enrolling about 2,000 participants—to evaluate the sensitivity and specificity of Cancerguard test across different cancer types and stages. “If you’re going to build something for global use, you need to understand how it behaves globally,” he said. “Geography and ethnicity could influence performance.”

Designing a cancer screening test isn’t just about detecting as many cases as possible. It’s about balance, particularly between sensitivity and specificity. Internally, Beer explains, the team models outcomes in terms of life-years gained versus the risks and costs of false positives. These trade-offs determine where thresholds are set within the algorithm. “We’re not just picking a random cutoff,” he said. “We’re thinking deeply about how to deliver the greatest public health impact.”

These internal models, though not publicly shared, guide every stage of development. The goal is not just accuracy but meaningful outcomes, catching cancers early without overwhelming patients and healthcare systems with unnecessary follow-ups.

For all the technical detail, our conversation keeps returning to people. Beer recalls another friend who retired at 65, only to be diagnosed with advanced pancreatic cancer six months later. He didn’t survive.

Placed alongside Barry’s story, the contrast is stark. One life was altered by early detection; the other never got the chance to do anything about it. What makes Barry’s story powerful is not just its outcome but also its implication, which is that cases of cancer can be caught early enough to change everything. The ultimate goal for Beer is to make such stories routine.

The post Multi-Cancer Early Detection Goes Global and Gets Personal appeared first on Inside Precision Medicine.

A structured narrative review on VNS-treated drug-resistant epilepsy: EEG markers, neurochemical mechanisms, and future biomarker-driven computational directions

Vagus nerve stimulation (VNS) is an established adjunctive therapy for drug-resistant epilepsy. Experimental and clinical evidence indicates that its therapeutic effects involve distributed brain networks and multiple neurochemical pathways. Electroencephalography (EEG) has been widely used to characterize VNS-related neurophysiological changes, including alterations in conventional oscillatory activity, functional connectivity, and, more recently, aperiodic spectral components such as the spectral exponent and spectral offset. However, these EEG findings are often interpreted without sufficient consideration of the neurochemical intermediates that may contribute to the observed electrophysiological changes. In this structured narrative review, primarily focused on epilepsy, we examine how VNS-related EEG findings can be interpreted in light of noradrenergic, serotonergic, cholinergic, GABAergic, and neurotrophic mechanisms. We also discuss methodological challenges in the analysis of periodic and aperiodic EEG components and outline how machine learning approaches and adaptive closed-loop neuromodulation strategies may support the development of clinically useful VNS biomarkers.

Oxygen extraction fraction is differentially associated with pathological biomarkers in Alzheimer’s disease and non-Alzheimer’s dementias

IntroductionWe aimed to understand the pathophysiological differences between 16 Alzheimer’s disease (AD) and 15 non-AD dementia patients by quantifying oxygen extraction fraction (OEF) in cortical (CGM) and deep gray matter (DGM) regions.MethodsTo achieve this, we used a novel MRI-based OEF mapping technique, QQ, which estimates OEF from routine multi-echo gradient echo data. Multiple linear regression analyses were performed to compare the associations between OEF and white matter hyperintensities (WMH) or cognitive impairment (measured by Montreal Cognitive Assessment (MoCA) between the two groups.ResultsIn the AD and non-AD group, OEF showed negative associations with WMH in DGM and positive associations with MoCA in DGM and CGM.DiscussionOur study suggests that QQ is a promising tool for differentiating between AD and non-AD dementias, by revealing abnormalities in tissue oxygen usage and their relationships to microvascular changes and cognitive impairment.
<![CDATA[Adial seeks FDA priority voucher to speed AD04 review, a biomarker-guided therapy aiming to curb heavy drinking in alcohol use disorder.]]>

Targeted therapies plus radiotherapy for diffuse intrinsic pontine glioma: the randomized phase 2 BIOMEDE trial

Nature Medicine, Published online: 24 April 2026; doi:10.1038/s41591-026-04354-1

In a biomarker-driven trial evaluating radiotherapy with erlotinib, everolimus or dasatinib in patients with newly diagnosed diffuse intrinsic pontine glioma, the primary endpoint of overall survival was not met, but features associated with long-term survival were defined, and everolimus emerged as a potential candidate for further testing.