Analysis of blood mature BDNF and proBDNF in mood disorders with specific ELISA assays

Lin, Liying; Fu, Xiyue; Zhou, Xin‐Fu; Liu, Dennis; Bobrovskaya, Larisa; Zhou, Li

doi:10.1016/j.jpsychires.2020.12.021

Cited by 22 publications

(7 citation statements)

References 39 publications

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“…It has recently been proposed that the measurement of BDNF concentrations in urine could serve as a biomarker to establish a more accurate clinical diagnosis in some pathologies (such as neurogenic lower urinary tract dysfunction or inappropriate neurodevelopment; Magalhães et al, 2017 ; Ece et al, 2019 ; Richard et al, 2020 ), and even as a potential predictor of response to treatment ( Jiang et al, 2014 ). Several studies have also been able to identify and/or establish BDNF cut-off points in serum and plasma samples for different neurological pathologies or disorders ( Kim et al, 2007 ; Dreimüller et al, 2012 ; Hong et al, 2014 ; Rabie et al, 2014 ; Zhang et al, 2014 ; Chiou and Huang, 2016 ; Chiou and Huang, 2019 ; Lin et al, 2021 ). The lack of knowledge about the concentration of BDNF excreted in urine of healthy population, or the “cut-off point” that would allow categorizing inappropriate situations, for example, in relation to neurodevelopment, implies further work in this area of knowledge.…”

Section: Resultsmentioning

confidence: 99%

Development and validation of brain-derived neurotrophic factor measurement in human urine samples as a non-invasive effect biomarker

Olivas-Martínez

Suárez

Salamanca-Fernández

et al. 2023

Front. Mol. Neurosci.

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BackgroundBrain-derived neurotrophic factor (BDNF), a neurotrophic growth factor mainly expressed in the brain, has been proposed as a potential effect biomarker; that is, as a measurable biomarker whose values could be associated with several diseases, including neurological impairments. The European Human Biomonitoring Initiative (HBM4EU) has also recognized effect biomarkers as a useful tool for establishing link between exposure to environmental pollutants and human health. Despite the well-establish protocol for measuring serum BDNF, there is a need to validate its assessment in urine, a non-invasive sample that can be easily repeated over time. The aim of this study was to develop, standardize and validate a methodology to quantify BDNF protein levels in urine samples before its implementation in biomonitoring studies.MethodsDifferent experimental conditions and non-competitive commercial enzyme-linked immunosorbent assay (ELISA) kits were tested to determine the optimal analytical procedure, trying to minimize the shortcomings of ELISA kits. The fine-tune protocol was validated in a pilot study using both upon awakening (n = 150) and prior to sleeping (n = 106) urine samples from the same Spanish adolescent males in a well-characterized study population (the Spanish INMA-Granada cohort).ResultsThe best results were obtained in 0.6 ml of urine after the acidification and extraction (pre-concentration) of samples. The highest reproducibility was obtained with the ELISA kit from Raybiotech. Urinary BDNF concentrations of adolescent males were within the previously reported range (morning = 0.047–6.801 ng/ml and night = 0.047–7.404 ng/ml). Urinary BDNF levels in the awakening and pre-sleep samples did not follow a normal distribution and were not correlated.ConclusionThe developed methodology offers good sensitivity and reproducibility. Having reliable markers in urine may facilitate both diagnosis and monitoring possible diseases (and treatment). Further studies are needed to implement urinary BDNF in biomonitoring studies to further elucidate its usefulness and biological significance for neurological impairments.

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Section: Resultsmentioning

confidence: 99%

Development and validation of brain-derived neurotrophic factor measurement in human urine samples as a non-invasive effect biomarker

Olivas-Martínez

Suárez

Salamanca-Fernández

et al. 2023

Front. Mol. Neurosci.

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“…However, the temporal variability of BDNF biomarkers is unknown for DNA methylation and scarce in the case of urinary and serum BDNF protein levels (Molendijk et al, 2012). Second, total BDNF protein levels were measured, not differentiating between the pro-and mature forms, which may have reduced the ability to detect associations (Jiang et al, 2017;Lin et al, 2021). Finally, while peripheral BDNF DNA methylation seems to be well correlated with its methylation status in the brain (Stenz et al, 2015), serum BDNF may be influenced by peripheral sources such as platelets (Gejl et al, 2019), and urinary BDNF by local production in the bladder (Antunes-Lopes and Cruz, 2019), which would tend to mask associations.…”

Section: Discussionmentioning

confidence: 99%

BDNF as a potential mediator between childhood BPA exposure and behavioral function in adolescent boys from the INMA-Granada cohort

Mustieles

Rodríguez-Carrillo

Vela-Soria

et al. 2022

Science of The Total Environment

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“…Recently, one article has presented evidence that mBDNF could be the biomarker to assess depression, through their newly developed ELISA kit. Nevertheless, the mechanism of how mBDNF is decreased in MDD still has not been elucidated (Lin et al., 2021 ), but a thorough investigation of the action of proBDNF/mBDNF may potentially present a major breakthrough in our understanding of MDD.…”

Section: Discussionmentioning

confidence: 99%

Association of peripheral manifestation of brain‐derived neurotrophic factor with depression: A meta‐analysis

Tiwari

Wong

et al. 2022

Brain and Behavior

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Background:The relationship between brain-derived neurotrophic factor (BDNF) and depression is a hot topic in research as several results of preclinical and clinical studies have shown controversial results. Our meta-analysis aims to evaluate and update the current status of peripheral BDNF with depression. Methods:We performed a meta-analysis by comprehensively searching PubMed and Web of Science for English-language literature from inception to 1st of June 2020. The search terms included brain-derived neurotrophic factor or BDNF in combination with depression, without year restriction. Using STATA software, data were pooled using a random-effects model. Results:In our literature search, 24 studies involving 1130 depressed patients and 1378 healthy individuals met our inclusion criteria. The results of our meta-analysis showed that the peripheral levels of BDNF levels significantly decreased in depression than nondepressed healthy controls (SMD = −0.89, 95% CI = −1.41, −0.38, p < .0001); however, the significant heterogeneity among studies (Q = 740.91, I 2 = 96.8; p < .001) was discovered. Trim-and-fill estimations for the adjustment of publication bias indicated that publication bias had no impact on our results. Our sub-group analysis showed that a history of depression and alcohol consumption had an effect on the level of BDNF. In addition, age and gender did not affect the heterogeneity of BDNF in the meta-analysis. Conclusions:Although decreased peripheral expression of BDNF certainly presents a risk of depression, we cannot find a definite relationship between the peripheral level of BDNF with depression to use BDNF as a reliable biomarker to assess the depression in clinical practice. We propose that future research should consider all the factors affecting BDNF and assess the level of proBDNF and mBDNF separately while evaluating the patients with depression objectively.

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Analysis of blood mature BDNF and proBDNF in mood disorders with specific ELISA assays

Cited by 22 publications

References 39 publications

Development and validation of brain-derived neurotrophic factor measurement in human urine samples as a non-invasive effect biomarker

Development and validation of brain-derived neurotrophic factor measurement in human urine samples as a non-invasive effect biomarker

BDNF as a potential mediator between childhood BPA exposure and behavioral function in adolescent boys from the INMA-Granada cohort

Association of peripheral manifestation of brain‐derived neurotrophic factor with depression: A meta‐analysis

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