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Risk Stratification in Immunoglobulin A Nephropathy Using Network Biomarkers: Development and Validation Study

Risk Stratification in Immunoglobulin A Nephropathy Using Network Biomarkers: Development and Validation Study

This suggests that clinicians should assess Ig AN holistically, not just focusing on the renal biomarkers. To assess Ig AN’s prognosis, several stratification models have emerged, with the International Immunoglobulin A Nephropathy Prediction Tool (IIg AN-PT) by Barbour et al [12] being the most widely accepted.

Jiaxing Tan, Rongxin Yang, Liyin Xiao, Lingqiu Dong, Zhengxia Zhong, Ling Zhou, Wei Qin

J Med Internet Res 2025;27:e65563

Digital Migration of the Loewenstein Acevedo Scales for Semantic Interference and Learning (LASSI-L): Development and Validation Study in Older Participants

Digital Migration of the Loewenstein Acevedo Scales for Semantic Interference and Learning (LASSI-L): Development and Validation Study in Older Participants

The LASSI-L has also differentiated between persons who are amyloid positive versus amyloid negative on the basis of other AD biomarkers such as plasma p-tau 181 [19] as well as plasma AB42/AB40 ratios using mass spectrometry. A critical pragmatic factor associated with the LASSI-L is its cross-cultural sensitivity. Spanish and English versions of the test are equivalently valid [20-22] and have shown both multilingual and cross-cultural validity.

Philip Harvey, Rosie Curiel-Cid, Peter Kallestrup, Annalee Mueller, Andrea Rivera-Molina, Sara Czaja, Elizabeth Crocco, David Loewenstein

JMIR Ment Health 2025;12:e64716

Exploring Molecular Genetics Research on Obesity in Malaysia: Protocol for a Scoping Review

Exploring Molecular Genetics Research on Obesity in Malaysia: Protocol for a Scoping Review

However, only 12.3% of studies used experimental methods to investigate potential biomarkers, with genetic studies receiving minimal attention [19]. Moreover, the lack of a systematic compilation of existing research hampers efforts to effectively build upon previous work, exacerbating the challenge of designing new studies to address the research gap.

Liyana Ahmad Zamri, Norhashimah Abu Seman, Nur Azlin Zainal Abidin, Siti Sarah Hamzah

JMIR Res Protoc 2024;13:e60838

Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis

Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis

Biomarkers could help detect individuals at risk of AD before symptoms occur. Cerebrospinal fluid (CSF) testing is considered the most reliable marker of progression of AD. Brain neuroimaging like computerized tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET), blood tests, and genetic testing are attracting increasing attention as important markers of this pathology [1,9,10]. CSF biomarkers such as β-amyloid 42 and tau and phosphor tau are key indicators of AD [11].

Gopi Battineni, Nalini Chintalapudi, Francesco Amenta

JMIR Aging 2024;7:e59370

Correlation Between Electronic Patient-Reported Outcomes and Biological Markers of Key Parameters in Acute Radiation Cystitis Among Patients With Prostate Cancer (RABBIO): Prospective Observational Study

Correlation Between Electronic Patient-Reported Outcomes and Biological Markers of Key Parameters in Acute Radiation Cystitis Among Patients With Prostate Cancer (RABBIO): Prospective Observational Study

The identification of serum and urine biomarkers linked to RC is essential in order to characterize the kinetics of RC onset and predict the toxic effects of irradiation. This clinical trial thus aims to combine patient-related outcomes on adverse events and Qo L following radiotherapy, with an analysis of serum and urinary biomarkers that may be predictive of toxicity.

Carole Helissey, Sophie Cavallero, Nathalie Guitard, Hélène Thery, Charles Parnot, Antoine Schernberg, Imen Aissa, Florent Raffin, Christine Le Coz, Stanislas Mondot, Christos Christopoulos, Karim Malek, Emmanuelle Malaurie, Pierre Blanchard, Cyrus Chargari, Sabine Francois

JMIR Cancer 2024;10:e48225

Digital Phenotyping of Mental and Physical Conditions: Remote Monitoring of Patients Through RADAR-Base Platform

Digital Phenotyping of Mental and Physical Conditions: Remote Monitoring of Patients Through RADAR-Base Platform

Digital biomarkers offer a host of advantages for measuring our health over traditional assessment approaches that are typically confined to clinical settings, including decentralization, scalability, sampling frequency and real-time measurement, and affordability. However, significant challenges remain with implementing digital biomarkers. Digital biomarkers developed from sensor data can help with prevention and early intervention to better diagnose and manage disease.

Zulqarnain Rashid, Amos A Folarin, Yuezhou Zhang, Yatharth Ranjan, Pauline Conde, Heet Sankesara, Shaoxiong Sun, Callum Stewart, Petroula Laiou, Richard J B Dobson

JMIR Ment Health 2024;11:e51259

Central Hemodynamic and Thermoregulatory Responses to Food Intake as Potential Biomarkers for Eating Detection: Systematic Review

Central Hemodynamic and Thermoregulatory Responses to Food Intake as Potential Biomarkers for Eating Detection: Systematic Review

This review examines central hemodynamic and thermoregulatory responses to food intake as potential biomarkers for wearable-based eating detection. To capture relevant studies, our search used keywords such as “hemodynamic,” “haemodynamic*,” “thermoregulat*,” “temperature regulation,” “body heat,” “body temperature,” “skin temperature,” “eating,” “meal*,” “ingest*,” “intak*,” “postprandial,” and “post-prandial.” We excluded all animal studies from our search.

Lucy Chikwetu, Parker Vakili, Andrew Takais, Rabih Younes

Interact J Med Res 2024;13:e52167

Problematic Social Media Use Among Italian Midadolescents: Protocol and Rationale of the SMART Project

Problematic Social Media Use Among Italian Midadolescents: Protocol and Rationale of the SMART Project

Indeed, 2 biomarkers of psychopathological risk, namely a lower parasympathetic activity over heart at rest [24], and the presence of specific polymorphisms for serotonin gene transporter 5-HT1 AR and 5-HT2 AR [25], may be associated with increased odds of PSMU among adolescents.

Valeria Donisi, Laura Salerno, Elisa Delvecchio, Agostino Brugnera

JMIR Res Protoc 2024;13:e58739

Attentional Bias, Pupillometry, and Spontaneous Blink Rate: Eye Characteristic Assessment Within a Translatable Nicotine Cue Virtual Reality Paradigm

Attentional Bias, Pupillometry, and Spontaneous Blink Rate: Eye Characteristic Assessment Within a Translatable Nicotine Cue Virtual Reality Paradigm

Thus, eye-tracking indices of attentional bias within naturalistic, yet clinically feasible settings, may be especially useful as biomarkers of the incentive salience/craving phenomenon in substance addiction. Pupillary responses and EBR represent two lesser-studied eye characteristics with theoretical ties to incentive salience processes that warrant further study as potential biomarkers of addiction.

Kelly Elizabeth Courtney, Weichen Liu, Gianna Andrade, Jurgen Schulze, Neal Doran

JMIR Serious Games 2024;12:e54220