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Major depressive disorder is a leading cause of disability worldwide and a major contributor to the overall global burden of disease. While there are several options for antidepressant treatment, only about 40-60% of patients respond to initial monotherapy, while 30-40% of patients may even show resistance to treatment. This article offers a narrative review of those studies evaluating the predictive properties of various blood-based baseline biomarkers regarding treatment responses to the pharmacological, stimulation, or behavioral treatment of patients with treatment-resistant depression (TRD). Our results show that overall, there is only a very limited number of studies assessing baseline peripheral biomarkers regarding treatment response in TRD. Although there is some evidence for the predictive significance of particular biomarkers (e.g., IL-6, CRP, BDNF), the majority of the results are either single-study reports or studies with conflicting results. This may contribute to the wide variety of treatment protocols and different TRD definition criteria, the small number of patients included, and the existence of different biological phenotypes of the disorder used within the various studies. Taken together, there does not yet appear to be any specific baseline peripheral biomarker with sufficient discriminative predictive validity that can be used in the routine clinical practice of TRD. The discovery of new biomarkers and the better clinical characterization of known biomarkers could support the better classification and staging of TRD, the development of personalized treatment algorithms with higher rates of remission and fewer side effects, and the development of new precision drugs for specific subgroups of patients.
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http://dx.doi.org/10.3390/brainsci12070940 | DOI Listing |
Geroscience
September 2025
Department of Biological Sciences, College of Natural Sciences, Kangwon National University, Kangwon, 24341, Republic of Korea.
Alzheimer's disease (AD) represents a growing global health burden, underscoring the urgent need for reliable diagnostic and prognostic biomarkers. Although several disease-modifying treatments have recently become available, their effects remain limited, as they primarily delay rather than halt disease progression. Thus, the early and accurate identification of individuals at elevated risk for conversion to AD dementia is crucial to maximize the effectiveness of these therapies and to facilitate timely intervention strategies.
View Article and Find Full Text PDFFront Med (Lausanne)
August 2025
Department of Nephrology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China.
Background And Aims: Sarcopenia, characterized by age-related loss of muscle mass and function, increases adverse outcomes in older adults. The predicted skeletal muscle mass index (pSMI), derived from serum creatinine and cystatin C, may serve as a practical biomarker. This study evaluated pSMI's ability to predict sarcopenia and mortality in older Chinese adults.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Microbiology, Immunology and Parasitology, College of Health Sciences, Addis Ababa University, Ethiopia.
Background: Tuberculosis is a major public health challenge in the resource-limited endemic setting of sub-Saharan Africa. The diagnostic challenge becomes worse for smear-negative TB cases. Even if efforts for non-sputum-based TB diagnostic and prognostic biomarkers, there was limited data on blood-based immunological biomarkers among smear-negative PTB patients.
View Article and Find Full Text PDFEur Stroke J
September 2025
Hospital del Mar Medical Research Institute, Barcelona, Spain.
Introduction: Poor-quality diets promote ischemic stroke. Red blood cell fatty acids (RBC-FAs) are objective, long-term biomarkers of diet. In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Spain, we developed a blood-based lipidomic fat quality (LFQ) score considering pre-defined RBC-FA diet-related biomarkers, and examined whether LFQ score relates to the risk of ischemic stroke.
View Article and Find Full Text PDFJ Neurol Sci
October 2025
Danish Dementia Research Centre, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, DK2100 Copenhagen, Denmark. Electronic address:
Background: Alzheimer's disease (AD) is characterized by cognitive decline, but the individual progression rates vary. One type of blood-based biomarker that has been widely investigated is neurofilament light chain (NfL), as it reflects measures neuronal damage.
Aim: The aim of the current study was to investigate whether NfL could determine the rate of progression in patients with AD.