MicroRNA-140-5p: A novel circulating biomarker for early warning of late-onset post-stroke depression

Liang, Hong‐Qing; He, Ji-rong; Tu, Xuan-Qiang; Ding, Kai-Qi; Yang, Guo‐Yuan; Zhang, Yu; Zeng, Lili

doi:10.1016/j.jpsychires.2019.05.018

Cited by 36 publications

(25 citation statements)

References 53 publications

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“…11 To solve this problem, many works have been done to identify PSDrelated biomarkers. 12,13 Zhao et al found that the serum neurofilament light could be used to make early diagnoses of PSD. 12 Another study suggested that MiR-140-5p might be closely related with the pathogenesis of PSD and could be used as a novel early warning biomarker for diagnosing PSD.…”

Section: Introductionmentioning

confidence: 99%

“…12 Another study suggested that MiR-140-5p might be closely related with the pathogenesis of PSD and could be used as a novel early warning biomarker for diagnosing PSD. 13 Some studies have identified several urinary biomarkers for PSD. [14][15][16] But none of these previous studies have taken age-based differences into consideration, especially considering that elderly stroke survivors are more likely to be depressed.…”

Section: Introductionmentioning

confidence: 99%

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Urinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression

Jin¹,

Lv²,

Li³

et al. 2021

NDT

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Background Post-stroke depression (PSD) is a major complication in stroke survivors, especially in elderly stroke survivors. But there are still no objective methods to diagnose depression in elderly stroke survivors. Thus, this study was conducted to identify potential biomarkers for diagnosing elderly PSD subjects. Methods Elderly (60 years or older) stroke survivors with depression were assigned into the PSD group, and elderly stroke survivors without depression and elderly healthy controls (HCs) were assigned into the non-depressed group. Urinary metabolite signatures obtained from gas chromatography-mass spectrometry (GC-MS)-based metabolomic platform were collected. Both univariate and multivariate statistical analysis were used to find the differential urinary metabolites between the two groups. Results The 78 elderly HCs, 122 elderly stroke survivors without depression and 124 elderly PSD subjects were included. A set of 13 differential urinary metabolites responsible for distinguishing PSD subjects from non-depressed subjects were found. The Phenylalanine, tyrosine and tryptophan biosynthesis, Phenylalanine metabolism and Galactose metabolism were found to be significantly changed in elderly PSD subjects. The phenylalanine was significantly negatively correlated with age and depressive symptoms. Meanwhile, a biomarker panel consisting of 3-hydroxyphenylacetic acid, tyrosine, phenylalanine, sucrose, palmitic acid, glyceric acid, azelaic acid and α-aminobutyric acid was identified. Conclusion These results provided candidate molecules for developing objective methods to diagnose depression in elderly stroke survivors, suggested that taking supplements of phenylalanine might be an effective method to prevent depression in elderly stroke survivors, and would be helpful for future revealing the pathophysiological mechanism of PSD.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Urinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression

Jin¹,

Lv²,

Li³

et al. 2021

NDT

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“…99 These results suggest that alterations in miRNA expression may be informative in relation to the antidepressant mechanism of action of ECT. 99 A clinical study compared healthy controls with patients diagnosed with major depression who were treatment-resistant in miR-7d ↑ [85] miR-7e ↑ [85] miR-7g ↑ [85] miR-7f ↑ [85] miR-18a ↑ [14] miR-20b-3p ↑ [30] miR-22 ↑ [85] miR-24-3p ↓ [70] ↓ [70] miR-26a ↑ [85] miR-26b ↑ [85] miR-29b-2 ↑ [85] miR-30a-5p ↑ [87] miR-30b-3p ↓[102]…”

Section: Mirna Modulation In Response To Snrismentioning

confidence: 99%

“…miR-132 ↓ [72] miR-133a ↑ [30] miR-134 ↓ [14] miR-135 ↑ [17] miR-140-3p ↑ [85] miR-145 ↑ [30] miR-146a-5p ↓ [70] ↓ [70] miR-146b-5p ↓ [70] ↓ [70] miR-151-3p ↑ [88,102] miR-183 ↑ [85] miR-191 ↑ [85] miR-206 ↓ [97] miR-212 ↑ [100] miR-221-3p ↓ [21] miR-320a ↑ [81] miR-326 ↓ [84] miR-331-5p ↓ [30] miR-335 ↑ [85] miR-361-5p ↑ [85] miR-374b ↑ [85] miR-409-3p ↑ [30] miR-410 ↑ [30] miR-425-3p ↓ [70] (Continued)…”

Section: Mirna Modulation In Response To Snrismentioning

confidence: 99%

“…The author reports no conflicts of interest in this work. miR-451 ↑ [51] miR-451a ↑ [21] miR-485-3p ↑ [30] miR-489 ↑ [81] miR-494 ↑ [85] miR-500 ↑ [85] miR-502-3p ↑ [85] miR-505 ↑ [85] miR-572 ↑ [81] miR-574-3p ↑ [85] miR-589 ↑ [85] miR-598-5p ↑ [51] miR-629 ↑ [85] miR-663a ↑ [81] miR-664 ↑ [85] miR-770-5p ↓ [85] miR-1202 ↑ [18] ↓ [93] miR-1971 ↓ [75] miR-3074-5p ↓ [70]…”

Section: Fundingmentioning

confidence: 99%

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<p>MicroRNA-Based Biomarkers in the Diagnosis and Monitoring of Therapeutic Response in Patients with Depression</p>

Xu¹,

Xia²,

Xia³

et al. 2019

NDT

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Depression is a debilitating mental illness that affects up to 120 million people worldwide; it is currently determined based on subjective diagnostic schemes that are limited by high uncertainty. Hence, there is an urgent need to identify effective and reliable biomarkers to increase diagnostic accuracy. MicroRNAs (miRNAs) constitute a recently discovered class of non-coding RNAs that play a key role in the regulation of gene expression by modulating translation, messenger RNA (mRNA) degradation, or stability of mRNA targets. Dysregulated expression of miRNAs is being investigated as a clinical biomarker for a variety of diseases, including depression. Accumulating evidence has shown that miRNAs participate in many aspects of neural plasticity, neurogenesis, and the stress response. This is supported by more direct studies based on human postmortem brain tissue that strongly indicate that miRNAs not only play a key role in the pathogenesis of major depressive disorder, but also present potential for the development of therapeutic targets. miRNAs in the peripheral and central nervous system are being considered as potential biomarkers in the diagnosis of depression and in monitoring the therapeutic response to antidepressants, owing to their stability, tissue-specificity, and disease-specific expression. In this review, we focus on various miRNAs in tissues and fluids that could be employed as diagnostic and therapeutic biomarkers in patients with depression.

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Role of MicroRNAs in Stroke Pathology and Recovery

Kumari

Abbas

Amin

et al. 2022

Regenerative Therapies in Ischemic Stroke Recovery

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MicroRNA-140-5p: A novel circulating biomarker for early warning of late-onset post-stroke depression

Cited by 36 publications

References 53 publications

Urinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression

Urinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression

<p>MicroRNA-Based Biomarkers in the Diagnosis and Monitoring of Therapeutic Response in Patients with Depression</p>

Role of MicroRNAs in Stroke Pathology and Recovery

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