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This study aimed to evaluate the diagnostic and surveillance performance of circulating tumour human papillomavirus DNA for post-treatment monitoring of human papilloma virus–positive oropharyngeal squamous cell carcinoma.
Methods
Systematic review and meta-analysis of prospective studies (2019–2024) identified from PubMed, Web of Science and Scopus. Random-effects models were used to pool circulating tumour human papillomavirus DNA detectability and summarise lead-times to recurrence.
Results
Fifteen studies (n=1,447) were included; 10 cohorts (n=731) entered the quantitative meta-analysis. Pooled baseline detectability was 85.5 per cent (95 per cent confidence interval 78.2–90.6). Circulating tumour human papillomavirus DNA positivity preceded clinical recurrence by a mean of 76.8 days (median 87.5). Specificity and negative predictive value were consistently high, whereas sensitivity varied by assay platform and sampling frequency.
Conclusion
Serial circulating tumour human papilloma virus DNA testing is a reliable adjunct to post-treatment surveillance in HPV-positive oropharyngeal squamous cell carcinoma, offering a clinically meaningful lead-time to recurrence. Standardised assays and multicentre validation are warranted.
Evaluating pauses in natural speech is a promising strategy for improving reliability, validity, and efficiency in assessing cognitive functions in people with mild cognitive impairment (MCI) and Alzheimer’s dementia (AD).
Method:
We conducted a quantitative meta-analysis of studies employing automated pause analysis. We included measures of speaking rate for comparison.
Results:
We identified 13 studies evaluating pause measures and 8 studies of speaking rate in people with MCI (n’s = 276 & 109, respectively) and AD (n’s = 170 & 81, respectively) and healthy aged controls (n’s = 492 & 231, respectively). Studies evaluated speech across various tasks, including standard neuropsychological, reading, and free/conversational tasks. People with AD and MCI showed longer pauses than controls at approximately 1.20 and 0.62 standard deviations, respectively, though there was substantial heterogeneity across studies. A more modest effect, of 0.66 and 0.27 SDs, was observed between these groups in speech rate. The largest effects were observed for standardized memory tasks.
Conclusions:
Of the many ways that speech can be objectified, pauses appear particularly important for understanding cognition in AD. Pause analysis has the benefit of being face valid, interpretable in ratio format as a reaction time, tied to known socio-cognitive functions, and relatively easy to measure, compute, and interpret. Automation of speech analysis can greatly expand the assessment of AD and potentially improve early identification of one of the most devastating and costly diseases affecting humans.
Alterations in the central and peripheral energy metabolism are increasingly recognized as key pathophysiological processes in psychiatric disorders. We investigated mitochondrial respiration and density linked to cellular energy metabolism and oxidative DNA damage in borderline personality disorder (BPD).
Methods
This cross-sectional case–control study compared three groups matched for age and body mass index: women with acute BPD, remitted BPD, and female healthy controls (n = 32, 15, 29). Peripheral blood mononuclear cells were investigated for differences in mitochondrial respiration, density, and markers of oxidative DNA damage.
Results
Participants with acute BPD showed significantly reduced and less efficient mitochondrial ATP production compared to both remitted individuals and controls. Mitochondrial coupling and respiration were inversely associated with oxidative DNA damage, although DNA damage levels did not differ significantly across diagnostic groups. Sensitivity analyses indicated that comorbid major depressive episodes and antidepressant use did not account for the results.
Conclusions
These findings indicate mitochondrial alterations accompany acute symptom severity in BPD and may improve with remission. Unraveling causes and consequences of mitochondrial downregulation and its interplay with DNA maintenance in the context of stress and psychopathology could contribute to novel models and treatment strategies in BPD and related severe psychiatric disorders.
The concept of personalized medicine and its significant benefits for patients and society was introduced over three decades ago. The Human Genome Project (initiated in 1990 and completed in 2003) greatly accelerated the development of precision medicine. In many cancers, defined biomarkers are used to select patients for therapy. For example, KRAS mutations are used to guide treatment with Sotorasib, while tumor expression of (wild type) human epidermal growth factor receptor 2 and 3 (HER2 and HER3) are used to select patients for trastuzumab and cetuximab, respectively. Nonetheless, the clinical adoption of companion diagnostics to facilitate a patient-centric approach in inflammatory diseases remains disappointing. One key reason why the development of companion diagnostics may be delayed autoimmune and fibrotic diseases can be the timing when clinical development teams inform R&D teams about relevant biomarkers or companion diagnostic to select patients, disease monitoring or treatment termination decisions. For clinical practicality, it is highly preferred to measure a biomarker in the systemic circulation, as blood samples can be obtained relatively easily in most diseases. However, discovering systemic biomarkers during clinical development has proven extremely challenging. Here, we describe an alternative approach, which we have used to select the most appropriate target for IgA driven autoimmune and fibrotic diseases. In this specific context, autoantigen-specific assays to determine autoantibody serum levels are widely available for a variety of indications. A detailed analysis of the biological pathways that affect the biomarker can uncover multiple potential therapeutic targets, allowing selection of the most optimal target from a clinical development perspective. Identification of a relevant biomarker before clinical development is initiated, enabling patient stratification in early clinical studies. Selection of the appropriate patient population based on biomarker presence reduces the number of patients needed and consequently, clinical development costs. Moreover, such a patient stratification approach minimizes the risk of including patients who are unlikely to respond, thereby avoiding unnecessary adverse events. This approach was applied during the selection of an anti-CD89 antagonist monoclonal antibody for IgA-mediated autoimmune and fibrotic diseases, serving as an illustrative example of this novel strategy.
Respiratory diseases are increasing global health burden with persistently high morbidity and mortality. Extracellular vesicles (EVs), which are virtually released by all cell types and carry a variety of molecules like miRNAs, have emerged as crucial mediators of intercellular communication. They play a key role in maintaining lung homeostasis and are involved in the pathogenesis of various respiratory conditions. Furthermore, mesenchymal stromal cell-derived EVs (MSC-EVs) have shown significant therapeutic potential due to their anti-inflammatory, antimicrobial, and reparative properties.
Methods
This narrative review critically assesses the current body of literature on the roles of EVs in respiratory diseases. We examine evidence from pre-clinical and clinical studies that investigate EVs as biomarkers and therapeutics for conditions including asthma, bronchopulmonary dysplasia (BPD), chronic obstructive pulmonary disease (COPD), cystic fibrosis (CF), idiopathic pulmonary fibrosis (IPF), lung cancer, and pulmonary arterial hypertension (PAH).
Results
EVs reflect the physiological or pathological state of their parental cells, making them promising multimodal biomarkers for the early diagnosis and monitoring of disease progression. Additionally, MSC-EVs function as effective, cell-free therapeutic agents. In a variety of disease models, they demonstrate efficacy by modulating immune responses, enhancing alveolar fluid clearance, and restoring epithelial and endothelial barrier integrity, leading to improved survival and outcomes.
Conclusions
EVs hold a dual and transformative potential in respiratory medicine. They may serve as valuable diagnostic and prognostic tools, and their application as cell-free therapeutics represents a novel and promising strategy for treating a wide spectrum of debilitating respiratory diseases.
Pain is a complex experience that includes physical sensations and emotional responses. Research has shown that the central nervous system plays a significant role in how we experience pain. In this chapter, we review the current understanding of the neuroscience of pain, with a particular emphasis on pain processing in the brain. We cover early theories that emphasized the brain’s role in integrating and modulating pain, as well as modern approaches that view pain as distributed processing in the brain. We also introduce functional and computational frameworks for understanding the sensory and motivational aspects of pain and discuss various factors that contribute to the multidimensional nature of pain. The future direction of the study of pain neuroscience includes a deep sampling of subjective pain experience and the use of generative models.
This repeated cross-sectional study assessed the validity and reproducibility of the myfood24® dietary assessment tool against dietary intake biomarkers in healthy Danish adults. The study included 71 healthy adults (14/57 m/f), aged 53.2 ± 9.1 years with an average BMI of 26.1 ± 0.3 kg/m2. Participants were instructed to complete seven-day weighed food records using myfood24® at baseline and 4 ± 1 weeks thereafter. Estimated mean dietary intake was compared with objective measures of energy metabolism and selected dietary intake biomarkers in fasting blood (folate) and in 24-hour urine (urea, potassium). Resting energy expenditure was measured by indirect calorimetry. Application of the Goldberg cut-off classified 87% (n = 62) of participants as acceptable reporters. A strong Spearman’s rank correlation was observed between total folate intake and serum folate (ρ = 0.62). Acceptable correlations were noted for serum folate (ρ = 0.49) and urinary potassium excretion (ρ = 0.44) with estimated and measured protein intake (ρ = 0.45); energy intake and total energy expenditure (ρ = 0.38); potassium intake and potassium excretion (ρ = 0.42); and estimated fruit and vegetable intake. Reproducibility analysis revealed strong correlations (ρ ≥ 0.50) across most nutrients and food groups, except for fish and vitamin D (ρ = 0.30 and ρ = 0.26, respectively). Notably, reproducibility for folate and total vegetable intake exhibited the highest correlations (ρ = 0.84 and ρ = 0.78, respectively). In conclusion, while some limitations exist, myfood24® remains a useful tool for ranking individuals by intake, particularly in studies focusing on relative comparisons.
While biomarkers are widely used in other medical fields, psychiatry has yet to introduce reliable biological diagnostic tools. Female reproductive transitions provide a unique window of opportunity for investigating psychiatric biomarkers. Hormonal changes across menstruation, pregnancy, parturition and perimenopause can have dramatic effects on mental health in vulnerable individuals, enabling the identification of unique biomarkers associated with these fluctuations.
Aims
This review integrates current evidence concerning potential biomarkers, with focus on recent human studies in perinatal depression, anxiety and obsessive–compulsive disorder, postpartum psychosis, premenstrual dysphoric disorder and perimenopausal depression.
Method
We identified potential articles to be included in this narrative review by using PubMed to obtain articles in English since 2010 on the six conditions listed above, with the additional keywords of ‘biomarker’, ‘epigenetics’, ‘neuroactive steroid’, ‘immune’, ‘inflammatory’ and ‘neuroimaging’.
Results
There is substantial published evidence regarding potential biomarkers of reproductive psychiatric disorders in the areas of epigenetics, neuroactive steroids, immune function and neuroimaging. This body of research holds significant potential to advance biomarker development, uncover disease mechanisms and improve diagnostic and therapeutic strategies, but there is as yet no clinically useful biomarker in commercial development for any reproductive psychiatric disorder.
Conclusion
There is an urgent need for longitudinal, large-scale and multi-modal studies to examine potential biomarkers and better understand their functions across various stages of reproduction.
The neurobiological basis of suicidal behaviour remains poorly understood. However, emerging evidence suggests that inflammation and vascular homeostasis factors may play a role in its pathophysiology. Childhood trauma, through immune system dysfunction and increased risk of suicidal behaviours, might influence these associations. This study examined the relationships between immune-inflammatory and vascular homeostasis-related markers and their interaction with childhood trauma in relation to a history of suicide attempts in individuals with depression.
Methods
A total of 328 patients with major depression were recruited: 166 with a history of suicide attempts and 162 without. Using multivariate binary logistic regression models adjusted for cofounders, we examined the associations between childhood trauma, levels of platelet-related immune markers (serotonin, MCP-1, TSP-1, TSP-2, PDGF-AB, PDGF-BB), and suicide attempt history. Independent associations between PDGF-BB, childhood trauma, and suicide attempts were further assessed using interaction models. Stratified sensitivity analyses based on childhood trauma history were also conducted.
Results
Childhood trauma consistently emerged as associated with suicide attempts across all models. Among the measured biomarkers, higher TSP-2 levels were associated with a suicide attempt history, independent of childhood trauma. Meanwhile, while PDGF-BB alone was not directly linked to suicide attempt history, the interaction analysis revealed that individuals with lower PDGF-BB levels and more severe childhood trauma were more likely to have attempted suicide.
Conclusions
TSP-2 and PDGF-BB are potential biomarkers linked to suicide attempts, with distinct roles in the interplay between biological processes and early-life adversity. These insights can inform the biomarker-informed development of tailored prevention and treatment strategies.
Accurate discrimination between normal and abnormal early pregnancies remains a clinical challenge. The successful identification and application of novel biomarkers produced during early pregnancy could change the diagnostic standard and improve patient outcomes. The approach to biomarker discovery can involve either putative or agnostic strategies, and for successful clinical implementation, all biomarkers must proceed through five phases of development. Biomarkers for discrimination of early pregnancy include those related to trophoblast function, corpus luteal function, angiogenesis, endometrial function, inflammation and muscle damage, and unknown mechanisms. To date, no single biomarker (other than serial beta human chorionic gonadotropin) is used in clinical practice, reflecting the significant heterogeneity among available studies and unique considerations in specific subgroups with early pregnancy. Panels consisting of multiple biomarkers are likely the most promising approach for successful implementation.
C-reactive protein (CRP) level in blood is a standard marker for systemic inflammation. Inflammation is central in chronic subdural hematoma (CSDH) pathophysiology, and inflammatory biomarkers may hold clinical potential in assessing the level of inflammation induced by a CSDH. This study explores the role of CRP in patients with CSDH by (1) measuring systemic and subdural CRP levels, (2) investigating CRP as a potential predictor for recurrent CSDH and (3) comparing CRP levels between the first and second operations in patients with CSDH recurrence.
Methods:
CRP levels were measured both in systemic blood and subdural fluid from adult CSDH patients. Recurrence rate and mortality within 90 days were recorded. In total, 111 patients were included, of whom 25 were operated on for CSDH recurrence.
Results:
Systemic CRP levels (2.54 mg/L (1.40–9.75)) were higher than subdural levels (2.09 mg/L [0.99–5.22]) (p < 0.0001) but within the clinically defined normal CRP range of < 3 mg/L. Neither systemic nor subdural CRP levels could predict recurrence. Both systemic and subdural CRP levels in recurrent CSDH patients were higher at the time of the second surgery compared to the first surgery (psystemic = 0.004 and psubdural < 0.0001).
Conclusion:
This is the first study to establish a correlation between systemic and subdural CRP levels in CSDH patients. The increased levels of CRP at the time of the second surgery may demonstrate a constantly evolving inflammatory process toward the development of a recurrence.
A quirky truth is that the oldest biomarker findings are largely metabolic. These had minimal impact on contemporary thought and research and were largely ignored. They have been rediscovered and validated almost 100 years later, informing our understanding of neurobiology and medical comorbidity and spurring contemporary treatment discovery efforts.
Cystic Echinococcosis (CE) is a zoonotic disease caused by Echinococcus granulosus sensu lato. Diagnosing CE primarily relies on imaging techniques, and there is a crucial need for an objective laboratory test to enhance the diagnostic process. Today, cell-free DNAs (cfDNAs) have gained importance regarding their biomarker potential. This study aims to investigate the diagnostic capabilities of different cfDNA targets (Echinococcus-specific repeat sequences (mgs-4 and mgs-12) and partial fragment of repetitive sequence (EG1 Hae III)) and evaluate their diagnostic effectiveness when compared to a frequently used commercial E.granulosus-specific IgG ELISA. Seventy-six confirmed hepatic CE patients and healthy controls were included in the study. The EG1 Hae III region was assessed using nested PCR, whereas real-time PCR was employed to investigate other cfDNA targets. Analysis of the cfDNA-targeted tests indicated that mgs-4 demonstrated the highest diagnostic efficacy in distinguishing CE patients from healthy controls, achieving a sensitivity of 60.5% (p = 0.002). Combining ELISA with the mgs-4 target led to an increased sensitivity of 72.4% for distinguishing between CE patients and the control group. The sensitivity rates for ELISA and the three cfDNA targets varied among the groups. Active CE patients showed sensitivity rates of 52.9%, 52.9%, 23.5%, and 52.9% for ELISA, mgs-4, mgs-12, and EG1 Hae III assays, respectively. In contrast, inactive cyst patients displayed sensitivity rates of 21.4%, 66.7%, 19%, and 42.9% for the corresponding assays. The mgs-4, either alone or in combination with ELISA, demonstrated notably higher sensitivity values for CE diagnosis in all group comparisons compared to serology.
Determining a reliable method to detect life on another planet is an essential first step in the pursuit of discovering extraterrestrial life. Polyhydroxyalkanoates (PHAs), bioplastic polymers created by microorganisms, are strong candidates for defining the presence of extraterrestrial life due to their water insolubility, strong ultraviolet resistance, high melting points and high crystallinity, amongst other qualities. PHAs are abundant on Earth, and their chemical properties can easily be distinguished from non-biological matter. Their widespread distribution and conferred resistance to astrobiologically relevant extreme environments render PHAs highly favourable candidates for astrobiological detection. Integrating detection of PHA biosignatures into current and future life-detection instruments would be useful for the planetary search for life. PHAs are analysed and characterized in laboratories by gas chromatography-mass spectrometry, infrared spectroscopy, Raman spectroscopy and immunoassay analysis in addition to other methods. We outline a path forward to integrate PHA detection in astrobiology missions to aid the search for extraterrestrial life.
Immune dysregulation appears involved in affective disorder pathophysiology. Inflammatory biomarkers have been linked with the cognitive impairment observed in people with bipolar disorders and as such are candidate markers that may improve with, and/or predict outcomes to, cognitive remediation therapies (CRT).
Aims
Nine candidate biomarkers were examined as putative mediators and/or moderators to improvements following CRT compared with treatment as usual (TAU) from a randomised controlled trial.
Method
Euthymic adults with bipolar disorders who had been randomised to CRT (n = 23) or TAU (n = 21) underwent blood testing before and after a 12 week intervention period. Five cytokines and four growth factor proteins, selected a priori, were examined in association with global cognition and psychosocial functioning outcomes.
Results
CRT attenuated a reduction in the brain-derived neurotrophic factor (BDNF), basic fibroblast growth factor and vascular endothelial growth factor-C compared to TAU. For the BDNF, lower baseline levels predicted better functional outcomes across the sample but was more pronounced in TAU versus CRT participants and indicated larger CRT effects in those with a higher BDNF. A moderation effect was also apparent for tumour necrosis factor-β and interleukin-16, with greater CRT versus TAU effects on functioning for participants with lower baseline levels.
Conclusions
Although preliminary, results suggest that CRT may exert some protective biological effects, and that people with lower levels of neurotrophins or cytokines may benefit more from CRT. We note an absence of associations with cognitive (versus functional) outcomes. These findings require further examination in large well-controlled studies.
Shortly after microRNAs were discovered in humans they were found to be present in blood samples. This led to another branch of microRNA research with the potential to transform medicine, answering the question healthcare professionals ask every day. What’s wrong with my patient? This chapter introduces circulating microRNAs as biomarkers and their emergence as potential diagnostic tools. Core arguments in their favour as indicators of health and disease include tissue specificity, their known locations in the body enabling doctors to zero in on where a problem lies. It looks at what shelters microRNAs as they circulate in the bloodstream and the disruptive thinking that has interpreted such findings as evidence that extracellular microRNAs are conveyors of information between distant tissues in the body. It moves to efforts to probe ever-smaller volumes of biofluids to find the least-invasive source of microRNA biomarkers and the diseases for which microRNA-based diagnostic tests already exist or may emerge in the future. Finally, it looks at developments in RNA detection technology that might allow point-of-care testing and perhaps microRNA-based health monitoring at home.
DOHaD and epigenetic research that investigates causal mechanisms and predictive biomarkers has often occurred in the absence of discussion of ethical, legal, and social implications or engagement with disability communities. These implications include maternal blaming, labelling, stigmatisation, and ableism. Considering the debate on different models of disability by disability activists and social scientists, this is a timely opportunity to optimise the design of epigenetic research into conditions labelled as disabilities. Research aims should address the needs of disability communities, acknowledge diversity, and move away from medical to social models of disability. Here we focus on the autistic community as an example. We argue that there is a need to work with autistic people and their supporters to co-design studies that facilitate a better understanding of autism’s challenges and assets and to use this knowledge to assist these individuals and communities. We also stress the importance of autonomy and information provision in relation to autistic individuals’ engagement with epigenetics tests. We conclude by urging researchers planning DOHaD and epigenetics research to listen to and engage with disability communities when they say, ‘nothing about us without us’.
Take a journey into the fascinating world of microRNA, the genome's master controllers. Discovered in 1993, our genome's master controllers are critical to the evolution of complex life, including humans. This captivating book tells their story, from their discovery and unique role in regulating protein levels to their practical applications in brain health and other branches of medicine. Written by a neuroscientist, it provides an in-depth look at what we know about microRNAs and how we came to know it. Explore the impact of these molecular conductors on your life and gain a new appreciation for the precision they bring to the molecular noise in our cells. Perfect for students of neuroscience, life sciences such as biochemistry and genetics and the curious public alike, this is the captivating tale of the conductors of life's molecular orchestra.
Amygdala and dorsal anterior cingulate cortex responses to facial emotions have shown promise in predicting treatment response in medication-free major depressive disorder (MDD). Here, we examined their role in the pathophysiology of clinical outcomes in more chronic, difficult-to-treat forms of MDD.
Methods
Forty-five people with current MDD who had not responded to ⩾2 serotonergic antidepressants (n = 42, meeting pre-defined fMRI minimum quality thresholds) were enrolled and followed up over four months of standard primary care. Prior to medication review, subliminal facial emotion fMRI was used to extract blood-oxygen level-dependent effects for sad v. happy faces from two pre-registered a priori defined regions: bilateral amygdala and dorsal/pregenual anterior cingulate cortex. Clinical outcome was the percentage change on the self-reported Quick Inventory of Depressive Symptomatology (16-item).
Results
We corroborated our pre-registered hypothesis (NCT04342299) that lower bilateral amygdala activation for sad v. happy faces predicted favorable clinical outcomes (rs[38] = 0.40, p = 0.01). In contrast, there was no effect for dorsal/pregenual anterior cingulate cortex activation (rs[38] = 0.18, p = 0.29), nor when using voxel-based whole-brain analyses (voxel-based Family-Wise Error-corrected p < 0.05). Predictive effects were mainly driven by the right amygdala whose response to happy faces was reduced in patients with higher anxiety levels.
Conclusions
We confirmed the prediction that a lower amygdala response to negative v. positive facial expressions might be an adaptive neural signature, which predicts subsequent symptom improvement also in difficult-to-treat MDD. Anxiety reduced adaptive amygdala responses.