Potential clinical value of circular RNAs as peripheral biomarkers for the diagnosis and treatment of major depressive disorder
Open accessAbstract
BACKGROUND: circular RNAs (circRNAs) are expressed abundantly in the brain and are implicated in the pathophysiology of neuropsychiatric disease. However, the potential clinical value of circRNAs in major depressive disorder (MDD) remains unclear. METHODS: RNA sequencing was conducted in whole-blood samples in a discovery set (7 highly homogeneous MDD patients and 7 matched healthy controls [HCs]). The differential expression of circRNAs was verified in an independent validation set. The interventional study was conducted to assess the potential effect of the antidepressive treatment on the circRNA expression. FINDINGS: in the validation set, compared with 52 HCs, significantly decreased circFKBP8 levels (Diff: -0.24; [95% CI -0.39 ~ -0.09]) and significantly elevated circMBNL1 levels (Diff: 0.37; [95% CI 0.09 ~ 0.64]) were observed in 53 MDD patients. The expression of circMBNL1 was negatively correlated with 24-item Hamilton Depression Scale (HAMD-24) scores in 53 MDD patients. A mediation model indicated that circMBNL1 affected HAMD-24 scores through a mediator, serum brain-derived neurotrophic factor. In 53 MDD patients, the amplitude of low-frequency fluctuations in the right orbital part middle frontal gyrus was positively correlated with circFKBP8 and circMBNL1 expression. Furthermore, the interventional study of 53 MDD patients demonstrated that antidepressive treatment partly increased circFKBP8 expression and the change in expression of circFKBP8 was predictive of further reduced HAMD-24 scores. INTERPRETATION: whole-blood circFKBP8 and circMBNL1 may be potential biomarkers for the diagnosis of MDD, respectively, and circFKBP8 may show great potential for the antidepressive treatment.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
circRNAs are abundantly expressed in the brain and are involved in the pathogenesis of neuropsychiatric disorders, impacting neuron development, cognitive function, and synaptic plasticity.
“circRNAs are abundantly expressed in the brain. And also, circRNAs are involved in the pathogenesis of neuropsychiatric disorders, impacting neuron development, cognitive function, and synaptic plasticity290–292.”
From Epigenetic regulation in major depression and other stress-related disorders: molecular mechanisms, clinical relevance and therapeutic potential (2023) · cites this paper as [291]
The Introduction says several circRNAs are abundant in the brain and active at neuronal synapses involved in nervous-system development. The Discussion suggests circMBNL1 may contribute to MDD through neuroplasticity, but the paper does not establish an impact on cognitive function or synaptic plasticity, and it frames a role in disorder pathogenesis as possible rather than established. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Circular RNAs are a large class of animal RNAs with regulatory potency
Memczak, S., Jens, M., Elefsinioti, A., Torti, F., Krueger, J., Rybak, A., Maier, L., Mackowiak, S. D., Gregersen, L. H., Munschauer, M., et al. (2013) · Nature · doi:10.1038/nature11928 · Cited by 7,990 · see citing works
The biogenesis, biology and characterization of circular RNAs
Kristensen, L. S., Andersen, M. S., Stagsted, L. V. W., Ebbesen, K. K., Hansen, T. B., & Kjems, J. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0158-7 · Cited by 4,823 · see citing works
Malhi, G. S., & Mann, J. J. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31948-2 · Cited by 4,099 · see citing works
Trivedi, M. H., Rush, A. J., Wisniewski, S. R., Nierenberg, A. A., Warden, D., Ritz, L., Norquist, G., Howland, R. H., Lebowitz, B., McGrath, P. J., et al. (2006) · American Journal of Psychiatry · doi:10.1176/appi.ajp.163.1.28 · Cited by 3,879 · see citing works
DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI
Yan (2010) · Frontiers in System Neuroscience · doi:10.3389/fnsys.2010.00013 · Cited by 3,475 · see citing works
The molecular neurobiology of depression
Krishnan, V., & Nestler, E. J. (2008) · Nature · doi:10.1038/nature07455 · Cited by 2,889 · see citing works
Detecting and characterizing circular RNAs
Jeck, W. R., & Sharpless, N. E. (2014) · Nature Biotechnology · doi:10.1038/nbt.2890 · Cited by 2,685 · see citing works
Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI
Yu-Feng, Z., Yong, H., Chao-Zhe, Z., Qing-Jiu, C., Man-Qiu, S., Meng, L., Li-Xia, T., Tian-Zi, J., & Yu-Feng, W. (2007) · Brain and Development · doi:10.1016/j.braindev.2006.07.002 · Cited by 2,660 · see citing works
Ongur, D. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.3.206 · Cited by 2,627 · see citing works
The Biogenesis, Functions, and Challenges of Circular RNAs
Li, X., Yang, L. C., & Chen, L. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.06.034 · Cited by 2,043 · see citing works
Physiology of the Neurotrophins
Lewin, G. R., & Barde, Y. (1996) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.19.030196.001445 · Cited by 1,955 · see citing works
Danese, A., Moffitt, T. E., Harrington, H., Milne, B. J., Polanczyk, G., Pariante, C. M., Poulton, R., & Caspi, A. (2009) · Archives of Pediatrics & Adolescent Medicine · doi:10.1001/archpediatrics.2009.214 · Cited by 1,165 · see citing works
Shimizu, E., Hashimoto, K., Okamura, N., Koike, K., Komatsu, N., Kumakiri, C., Nakazato, M., Watanabe, H., Shinoda, N., Okada, S.-I., et al. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(03)00181-1 · Cited by 1,151 · see citing works
Circular RNA and its mechanisms in disease: From the bench to the clinic
Han, B., Chao, J., & Yao, H. (2018) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2018.01.010 · Cited by 784 · see citing works
McClintock, S. M., Reti, I. M., Carpenter, L. L., McDonald, W. M., Dubin, M., Taylor, S. F., Cook, I. A., O’Reardon, J., Husain, M. M., Wall, C., et al. (2018) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.16cs10905 · Cited by 693 · see citing works
Elevated inflammation levels in depressed adults with a history of childhood maltreatment
Danese, A., Moffitt, T. E., Pariante, C. M., Ambler, A., Poulton, R., & Caspi, A. (2008) · Archives of General Psychiatry · doi:10.1001/archpsyc.65.4.409 · Cited by 641 · see citing works
Polyakova, M., Stuke, K., Schuemberg, K., Mueller, K., Schoenknecht, P., & Schroeter, M. L. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.11.044 · Cited by 488 · see citing works
Yang, L., Han, B., Zhang, Z., Wang, S., Bai, Y., Zhang, Y., Tang, Y., Du, L., Xu, L., Wu, F., et al. (2020) · Circulation · doi:10.1161/circulationaha.120.045765 · Cited by 376 · see citing works
Self-citationDichter, G. S., Gibbs, D., & Smoski, M. J. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.09.028 · Cited by 375 · see citing works
van den Buuse, M. (2009) · Schizophrenia Bulletin · doi:10.1093/schbul/sbp132 · Cited by 340 · see citing works
Malhi Gin, S., & John, M. J. (2018) · The Lancet · Cited by 332 · see citing works
Molecular studies of major depressive disorder: the epigenetic perspective
Mill, J. S., & Petronis, A. (2007) · Molecular Psychiatry · doi:10.1038/sj.mp.4001992 · Cited by 302 · see citing works
Neuronal plasticity: A link between stress and mood disorders
Calabrese, F., Molteni, R., Racagni, G., & Riva, M. A. (2009) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2009.05.014 · Cited by 299 · see citing works
Emerging treatment mechanisms for depression: focus on glutamate and synaptic plasticity
Gerhard, D. M., Wohleb, E. S., & Duman, R. S. (2016) · Drug Discovery Today · doi:10.1016/j.drudis.2016.01.016 · Cited by 287 · see citing works
Zhang, Y., Huang, R., Cheng, M., Wang, L., Chao, J., Li, J., Zheng, P., Xie, P., Zhang, Z., & Yao, H. (2019) · Microbiome · doi:10.1186/s40168-019-0733-3 · Cited by 263 · see citing works
Self-citationCircular RNA and Alzheimer’s Disease
Akhter, R. (2018) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-1426-1_19 · Cited by 231 · see citing works
Hanan, M., Soreq, H., & Kadener, S. (2017) · RNA Biology · doi:10.1080/15476286.2016.1255398 · Cited by 229 · see citing works
Yao, Z., Wang, L., Lu, Q., Liu, H., & Teng, G. (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2008.10.013 · Cited by 205 · see citing works
Hu, D. J.-K., Baffet, A. D., Nayak, T., Akhmanova, A. S., Doye, V., & Vallee, R. B. (2013) · Cell · doi:10.1016/j.cell.2013.08.024 · Cited by 192 · see citing works
Zhang, Y., Du, L., Bai, Y., Han, B., He, C., Gong, L., Huang, R., Shen, L., Chao, J., Liu, P., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-018-0285-0 · Cited by 184 · see citing works
Self-citationBai, F., Zhang, Z., Watson, D. R., Yu, H., Shi, Y., Yuan, Y., Zang, Y., Zhu, C., & Qian, Y. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.10.017 · Cited by 183 · see citing works
Self-citationZhou, M., Hu, X., Lu, L., Zhang, L., Chen, L., Gong, Q., & Huang, X. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.02.001 · Cited by 182 · see citing works
Schaakxs, R., Comijs, H. C., Lamers, F., Kok, R. M., Beekman, A. T. F., & Penninx, B. W. J. H. (2018) · The Lancet Psychiatry · doi:10.1016/s2215-0366(18)30166-4 · Cited by 166 · see citing works
Zhong, X. B., Pu, W., & Yao, S. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.09.005 · Cited by 163 · see citing works
Therapeutic Strategies for Treatment of Inflammation-related Depression
Adžić, M., Brkic, Z., Mitić, M., Francija, E., Jovicic, M. J., Radulović, J., & Marić, N. P. (2017) · Current Neuropharmacology · doi:10.2174/1570159x15666170828163048 · Cited by 156 · see citing works
A psychiatric disease-related circular RNA controls synaptic gene expression and cognition
Zimmerman, A. J., Hafez, A. K., Amoah, S. K., Rodriguez, B. A., Dell’Orco, M., Lozano, E., Hartley, B. J., Alural, B., Lalonde, J., Chander, P. N., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0653-4 · Cited by 152 · see citing works
Cui, X., Niu, W., Kong, L., He, M., Jiang, K., Chen, S., Zhong, A., Li, W., Lu, J., & Zhang, L. (2016) · Biomarkers in Medicine · doi:10.2217/bmm-2016-0130 · Cited by 150 · see citing works
Liu, J., Ren, L., Womer, F. Y., Wang, J., Fan, G., Jiang, W., Blumberg, H. P., Tang, Y., Xu, K., & Wang, F. (2014) · Human Brain Mapping · doi:10.1002/hbm.22526 · Cited by 137 · see citing works
Polygenic associations of neurodevelopmental genes in suicide attempt
Sokolowski, M., Wasserman, J., & Wasserman, D. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.187 · Cited by 117 · see citing works
Camkurt, M. A., Acar, Ş. T., Coşkun, S., Güneş, M., Güneş, S., Yılmaz, M. F., Görür, A., & Tamer, L. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.07.023 · Cited by 115 · see citing works
Shi, Y., Luan, D., Song, R., & Zhang, Z. (2020) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2020.09.633 · Cited by 105 · see citing works
Self-citationA genome‐wide association study of suicidal behavior
Galfalvy, H., Haghighi, F., Hodgkinson, C., Goldman, D., Oquendo, M. A., Burke, A., Huang, Y., Giegling, I., Rujescu, D., Bureau, A., et al. (2015) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32330 · Cited by 102 · see citing works
Epigenetics and depressive disorders: a review of current progress and future directions
Januar, V., Saffery, R., & Ryan, J. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyu273 · Cited by 99 · see citing works
A preliminary analysis of microRNA as potential clinical biomarker for schizophrenia
Sun, X., Zhang, J., Niu, W., Guo, W., Song, H., Li, H., Fan, H., Zhao, L., Zhong, A., Dai, Y., et al. (2015) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32292 · Cited by 89 · see citing works
A Systematic Review of MicroRNA Expression as Biomarker of Late-Onset Alzheimer’s Disease
Herrera-Espejo, S., Santos‐Zorrozúa, B., Álvarez-González, P., López-López, E., & García‐Orad, Á. (2019) · Molecular Neurobiology · doi:10.1007/s12035-019-01676-9 · Cited by 89 · see citing works
Girardi, P., Pompili, M., Innamorati, M., Mancini, M., Serafini, G., Mazzarini, L., CASALE, A. D., Tatarelli, R., & Baldessarini, R. J. (2009) · Human Psychopharmacology Clinical and Experimental · doi:10.1002/hup.1005 · Cited by 86 · see citing works
Circular RNAs as Promising Biomarkers: A Mini-Review
Abu, N., & Jamal, R. A. (2016) · Frontiers in Physiology · doi:10.3389/fphys.2016.00355 · Cited by 84 · see citing works
Zhang, Z., Zhang, H., Xie, C., Zhang, M., Shi, Y., Song, R., Lu, X., Zhang, H., Li, K., Wang, B., et al. (2020) · Science China Life Sciences · doi:10.1007/s11427-020-1730-5 · Cited by 84 · see citing works
Self-citationLi, F. Y., Lui, S., Li, Y., Hu, J., Lv, P., Huang, X., Mechelli, A., Sweeney, J. A., & Gong, Q. (2016) · Radiology · doi:10.1148/radiol.2015151334 · Cited by 79 · see citing works
Agomelatine, a novel intriguing antidepressant option enhancing neuroplasticity: A critical review
Pompili, M., Serafini, G., Innamorati, M., Venturini, P., Fusar‐Poli, P., Sher, L., Amore, M., & Girardi, P. (2013) · The World Journal of Biological Psychiatry · doi:10.3109/15622975.2013.765593 · Cited by 78 · see citing works
Testing Mediation in Nursing Research
Krause, M. R., Serlin, R. C., Ward, S. E., Rony, Y. Z., Ezenwa, M. O., & Naab, F. (2010) · Nursing Research · doi:10.1097/nnr.0b013e3181dd26b3 · Cited by 78 · see citing works
Vilariño‐Güell, C., Zimprich, A. A., Boneschi, F. M., Herculano, B., Wang, Z., Matesanz, F., Urcelay, E., Vandenbroeck, K., Leyva, L., Gris, D., et al. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1008180 · Cited by 76 · see citing works
Self-citationRelationships of circular RNA with diabetes and depression
Jiang, G., Ma, Y., An, T., Pan, Y., Mo, F., Zhao, D., Liu, Y., Miao, J.-N., Gu, Y.-J., Wang, Y., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-07931-0 · Cited by 75 · see citing works
Qin, J., Wei, M., Liu, H., Yan, R., Luo, G., Yao, Z., & Lu, Q. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25036 · Cited by 73 · see citing works
Mahmoudi, E., Fitzsimmons, C., Geaghan, M. P., Shannon Weickert, C., Atkins, J. R., Wang, X., & Cairns, M. J. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0348-1 · Cited by 73 · see citing works
Age-related functional changes in gustatory and reward processing regions: An fMRI study
Jacobson, A., Green, E., & Murphy, C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.012 · Cited by 72 · see citing works
Liu, S., Zhang, F., Wang, X., Shugart, Y. Y., Zhao, Y., Li, X., Liu, Z., Sun, N., Yang, C., Zhang, K., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-15751-5 · Cited by 69 · see citing works
Self-citationSerum Exosome-Derived miR-139-5p as a Potential Biomarker for Major Depressive Disorder
Liang, J., Liao, H., Xu, C., Li, X., Wei, Z., Xie, G., & Cheng, Y. (2020) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s277392 · Cited by 68 · see citing works
Li, W., Chen, Z., Wu, M. C., Zhu, H., Gu, L., Zhao, Y., Kuang, W., Bi, F., Kemp, G. J., & Gong, Q. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.12.032 · Cited by 67 · see citing works
Self-citationLai, C. (2010) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0b013e318205a670 · Cited by 65 · see citing works
Dreimüller, N., Lieb, K., Tadić, A., Engelmann, J., Wollschläger, D., & Wagner, S. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.06.067 · Cited by 64 · see citing works
An, T., He, Z.-C., Zhang, X.-Q., Li, J., Chen, A.-L., Tan, F., Chen, H.-D., Lv, B.-H., Lian, J., Gao, S.-H., et al. (2019) · Chinese Medicine · doi:10.1186/s13020-019-0225-1 · Cited by 63 · see citing works
Shu, H., Shi, Y., Chen, G., Wang, Z., Liu, D., Yue, C., Ward, B. D., Li, W., Xu, Z., Chen, G., et al. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu237 · Cited by 62 · see citing works
Self-citationBao, X., Zheng, S., Mao, S., Gu, T., Liu, S., Sun, J., & Zhang, L. (2018) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2018.03.059 · Cited by 58 · see citing works
Wang, Z., Jia, X., Chen, H., Feng, T., & Wang, H. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.01093 · Cited by 56 · see citing works
Self-citationHan, F., Zhong, C., Li, W., Wang, R., Zhang, C., Yang, X., Ji, C., & Ma, D. (2020) · Epigenomics · doi:10.2217/epi-2019-0352 · Cited by 55 · see citing works
Chen, S., Jiang, H., Liu, Y., Hou, Z., Yue, Y., Zhang, Y., Zhao, F., Xu, Z., Li, Y., Mou, X., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-06832-6 · Cited by 50 · cited 1× · see citing works
“In the validation set (component 2), the binary logistic regression [54] (dependent variable: MDD/HC; independent variable: candidate circRNAs) was used to calculate a predicted value of each subject that can be considered as the composite circRNA indicator based on these candidate circRNAs.”
MethodSelf-citationKhandelwal, N., Dey, S. K., Chakravarty, S., & Kumar, A. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00188 · Cited by 49 · see citing works
Shi, Y., Song, R., Wang, L., Qi, Y., Zhang, H., Zhu, J., Zhang, X., Tang, X., Zhan, Q., Zhao, Y., et al. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.08.078 · Cited by 48 · see citing works
Self-citationQin, J., Wei, M., Liu, H., Yan, R., Luo, G., Yao, Z., & Lü, Q. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25500 · Cited by 47 · see citing works
Zhuo, C., Zhou, C., Zhu, J., Hou, W., Jiang, D., Tian, H., Wang, L., & Jia, F. (2019) · Neural Regeneration Research · doi:10.4103/1673-5374.268969 · Cited by 46 · see citing works
Self-citationThe alterations of circular RNA expression in plasma exosomes from patients with schizophrenia
Tan, G., Wang, L., Liu, Y., Zhang, H., Feng, W., & Liu, Z. (2020) · Journal of Cellular Physiology · doi:10.1002/jcp.29873 · Cited by 45 · see citing works
Self-citationHe, C., Bai, Y., Wang, Z., Fan, D., Wang, Q., Liu, X., Zhang, H., Zhang, H., Zhang, Z., Yao, H., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2020.117428 · Cited by 42 · see citing works
Self-citationChen, H., Gu, B., Zhao, X., Zhao, Y., Huo, S., Liu, X., & Lu, H. (2020) · Bioengineered · doi:10.1080/21655979.2020.1832343 · Cited by 40 · see citing works
Self-citationCoding and Non-Coding RNA Abnormalities in Bipolar Disorder
Luykx, J. J., Giuliani, F., Giuliani, G., & Veldink, J. H. (2019) · Genes · doi:10.3390/genes10110946 · Cited by 39 · see citing works
Liu, X., Li, L., Li, M., Ren, Z., & Ma, P. (2020) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2020.111239 · Cited by 39 · see citing works
Song, R., Bai, Y., Li, X., Zhu, J., Zhang, H., Shi, Y., Li, K., Wang, B., Zhang, H., Yang, Y., et al. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.05.109 · Cited by 37 · see citing works
Self-citationNarwade, S., Mallick, B. N., & Deobagkar, D. D. (2017) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2017.00067 · Cited by 34 · see citing works
Hsa_Circrna_104597 : A Novel Potential Diagnostic and Therapeutic Biomarker for Schizophrenia
Yao, G., Niu, W., Zhu, X., He, M., Kong, L., Chen, S., Zhang, L.-Y., & Cheng, Z. (2019) · Biomarkers in Medicine · doi:10.2217/bmm-2018-0447 · Cited by 34 · see citing works
Zhang, X., Di, X., Lei, H., Yang, J., Xiao, J., Wang, X., Yao, S., & Rao, H. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.03.001 · Cited by 33 · see citing works
Alavi, M. S., Karimi, G., & Roohbakhsh, A. (2019) · Life Sciences · doi:10.1016/j.lfs.2019.03.045 · Cited by 29 · see citing works
Standardized Treatment Strategy for Depressive Disorder
Wang, Z., Ma, X., & Xiao, C. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-32-9271-0_10 · Cited by 26 · see citing works
Self-citationAdvance in Diagnosis of Depressive Disorder
Fang, Y., & Wu, Z. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-32-9271-0_9 · Cited by 21 · see citing works
Local and Extensive Neuroplasticity in Carpal Tunnel Syndrome: A Resting-State fMRI Study
Lu, Y.-C., Zhang, H., Zheng, M., Hua, X., Qiu, Y., Shen, Y., Jiang, S., Xu, J., Gu, Y., & Xu, W.-D. (2017) · Neurorehabilitation and neural repair · doi:10.1177/1545968317723749 · Cited by 20 · see citing works
Self-citationEmotion-related brain regions.
Szily, E., & Kéri, S. (2008) · PubMed · Cited by 14 · see citing works
Pdxdc1 modulates prepulse inhibition of acoustic startle in the mouse
Feldcamp, L. A., Boutros, P. C., Raymond, R., Fletcher, P. J., Nóbrega, J. N., & Wong, A. H. C. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.85 · Cited by 14 · see citing works
Alryalat, S. (2017) · Journal of Integrative Neuroscience · doi:10.3233/jin-170015 · Cited by 11 · see citing works
Karim, H. T., Tudorascu, D., Cohen, A. D., Price, J. C., Lopresti, B. J., Mathis, C. A., Klunk, W. E., Snitz, B. E., & Aizenstein, H. J. (2019) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2019.07.008 · Cited by 9 · see citing works
Zhuo, C., Ji, F., Lin, X., Tian, H., Wang, L., Xu, Y. J., Wang, W., & Jiang, D. (2020) · Brain and Behavior · doi:10.1002/brb3.1637 · Cited by 7 · see citing works
Flagged first, then by citations
1 of the 90 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Yuan, M., Yang, B., Rothschild, G., Mann, J. J., Sanford, L. D., Tang, X., Huang, C., Wang, C., & Zhang, W. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01519-z · Cited by 246 · see citing works
Extracellular vesicle‐mediated delivery of circDYM alleviates CUS‐induced depressive‐like behaviours
Yu, X., Bai, Y., Han, B., Ju, M., Tang, T., Shen, L., Li, M., Yang, L., Zhang, Z., Hu, G., et al. (2022) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12185 · Cited by 164 · see citing works
Self-citationNon-coding RNAs in depression: Promising diagnostic and therapeutic biomarkers
Shi, Y., Wang, Q., Song, R., Kong, Y., & Zhang, Z. (2021) · eBioMedicine · doi:10.1016/j.ebiom.2021.103569 · Cited by 79 · see citing works
Self-citationHatzimanolis, O., Sykes, A. M., & Cristino, A. S. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-02925-1 · Cited by 42 · see citing works
Treble‐Barna, A., Heinsberg, L. W., Stec, Z., Breazeale, S., Davis, T. S., Kesbhat, A., Chattopadhyay, A., VonVille, H. M., Ketchum, A., Yeates, K. O., et al. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105078 · Cited by 37 · see citing works
Bai, Y., Chang, D., Ren, H., Ju, M., Wang, Y., Chen, B., Li, H., Liu, X., Li, D., Huo, X., et al. (2024) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2024.01.011 · Cited by 27 · see citing works
Non-coding RNAs and their bioengineering applications for neurological diseases
Das, T., Das, T. K., Khodarkovskaya, A., & Dash, S. (2021) · Bioengineered · doi:10.1080/21655979.2021.2003667 · Cited by 24 · see citing works
Alteration and clinical potential in gut microbiota in patients with cerebral small vessel disease
Shi, Y., Zhao, E., Li, L., Zhao, S., Mao, H., Deng, J., Ma, W. J., Li, Y., Gao, Q., Zeng, S., et al. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2023.1231541 · Cited by 24 · see citing works
Self-citationChen, W., Zhang, T., Bai, Y., Deng, H. X., Yang, F., Zhu, R., Chen, Y., He, Z., Zeng, Q., & Song, M. (2021) · Gland Surgery · doi:10.21037/gs-21-481 · Cited by 23 · see citing works
Shi, Y., Zhang, L., He, C., Yin, Y., Song, R., Chen, S., Fan, D., Zhou, D., Yuan, Y., Xie, C., et al. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.08.027 · Cited by 22 · see citing works
Self-citationChen, Q., Shen, W., Sun, H., Zhang, H., Liu, C., Chen, Z., Yu, L., Cai, X., Ke, J., Li, L., et al. (2022) · Brain Research · doi:10.1016/j.brainres.2022.147959 · Cited by 22 · see citing works
Self-citationZhang, D., Ji, Y., Chen, X., Chen, R., Wei, Y., Peng, Q., Lin, J., Yin, J., He-zhan, L., Cui, L., et al. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.844422 · Cited by 22 · see citing works
Zhang, J., Zhang, E., Yuan, C., Zhang, H., Wang, X., Yan, F., Pei, Y., Li, Y., Wei, M., Yang, Z., et al. (2022) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2022.107294 · Cited by 21 · see citing works
Self-citationResearch trend of epigenetics and depression: adolescents' research needs to strengthen
Yuan, D., Meng, Y., Ai, Z., & Zhou, S. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1289019 · Cited by 20 · see citing works
Shi, Y., Mao, H., Miao, W., Deng, J., Gao, Q., Zeng, S., Ma, L., Han, Y., Ji, W., Li, Y., et al. (2023) · The Journals of Gerontology Series A · doi:10.1093/gerona/glad184 · Cited by 19 · see citing works
Self-citationYu, X., Fan, Z., Yang, T., Li, H., Shi, Y., Ye, L., & Huang, R. (2023) · Clinica Chimica Acta · doi:10.1016/j.cca.2023.117694 · Cited by 17 · see citing works
Self-citationJiao, J., Xu, D., Kong, Y., Cao, Y., Wang, L., Hong, Y., Li, L., Gao, C., Liu, J., Zhang, G., et al. (2024) · 中国科学通报：英文版 · doi:10.1016/j.scib.2024.06.021 · Cited by 17 · see citing works
Self-citationHuang, Y., Tan, Y., Hao, H.-L., Li, J., Liu, C.-Y., Hu, Y.-F., Wu, Y.-M., Ding, Q.-Y., Zhou, Y., Li, Y., et al. (2023) · Journal of neural transmission · doi:10.1007/s00702-023-02594-w · Cited by 12 · see citing works
He, J., Zheng, F., Qiu, L., Wang, Y., Zhang, J., Ye, H., & Zhang, Q. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2024.1496966 · Cited by 15 · see citing works
The regulatory role of the BDNF/TrkB pathway in organ and tissue fibrosis.
Hang, P., Ge, F.-Q., Li, P., Liu, J., Zhu, H., & Zhao, J. (2021) · PubMed · doi:10.14670/hh-18-368 · Cited by 15 · see citing works
Yang, M., Zhang, H., Yu, M., Xu, Y., Xiang, B., & Yao, X. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-06384-w · Cited by 14 · see citing works
Self-citationRecent developments in omics studies and artificial intelligence in depression and suicide
Wang, Q., & Dwivedi, Y. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03497-y · Cited by 14 · see citing works
Identifying gut microbiota with high specificity for ischemic stroke with large vessel occlusion
He, P., Chen, J., Ni, J., Zhang, X., Wu, Z., Chen, G., Huang, J. L., Dai, Z., Ji, W., Li, L., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-64819-6 · Cited by 14 · see citing works
Self-citationZhao, Y., Zhang, Q., Yan, Y., Wang, X., Shao, Y., Mei, C., & Zou, T. (2022) · Phytotherapy Research · doi:10.1002/ptr.7702 · Cited by 13 · see citing works
Self-citationCircular RNAs: New players involved in the regulation of cognition and cognitive diseases
Yu, X., Liu, H., Chang, N., Fu, W., Guo, Z., & Wang, Y. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1097878 · Cited by 11 · see citing works
Potential of Antithrombin III as a Biomarker of Antidepressive Effect in Major Depressive Disorder
Song, R., Shi, Y., Li, X., Zhu, J., Zhang, H., Li, K., Wang, B., Zhang, H., Yang, Y., Gao, L., et al. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.678384 · Cited by 11 · see citing works
Self-citationNeurovascular dysfunction in psychiatric disorders: Underlying mechanisms and therapeutic approaches
Sanches, E. S., Simões, D. M., Baptista, F. I., & Silva, A. P. (2024) · European Journal of Clinical Investigation · doi:10.1111/eci.14319 · Cited by 10 · see citing works
Circular RNAs as disease modifiers of complex neurologic disorders
Galli, V., Vinciguerra, S., Biagioli, M., & Morandell, J. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1577496 · Cited by 10 · see citing works
Gao, F., Zhang, Z., Ju, M., Bian, L., Wang, H., Zhao, S., Cai, N., Wang, Y., Jia, Y., Shen, L., et al. (2025) · Advanced Science · doi:10.1002/advs.202414559 · Cited by 9 · see citing works
Self-citationShi, Y., Deng, J., Mao, H., Han, Y., Gao, Q., Zeng, S., Ma, L., Ma, W. J., Li, Y., Xi, G., et al. (2024) · ACS Omega · doi:10.1021/acsomega.3c10126 · Cited by 9 · see citing works
Self-citationTan, L., Zhao, W., Wang, H. Y., Huang, X., Lin, Y., Yin, L., Liu, X., Wang, J., Wu, N., & Wang, H. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03167-x · Cited by 8 · see citing works
Shi, Y., Xu, M., Wang, F., Zhang, X., Cheng, C., Han, Y., Xi, G., Mao, H., Deng, J., Gao, Q., et al. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.70131 · Cited by 7 · see citing works
Self-citationDai, F., Zhang, Q., Tang, Y., He, Y., Yi, T., & Qing, Y. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.728091 · Cited by 7 · see citing works
Transcriptomics and magnetic resonance imaging in major psychiatric disorders
Fan, J.-W., Gu, Y.-W., Wang, D.-B., Liu, X., Zhao, S., Li, X., Baojuan Li, A., Yin, H. J., Wu, W.-J., & Cui, L. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1185471 · Cited by 6 · see citing works
CircPTK2 may be associated with depressive-like behaviors by influencing miR-182-5p
Wang, K., Yang, Y., Wang, Y., Jiang, Z., & Fang, S. (2024) · Behavioural Brain Research · doi:10.1016/j.bbr.2024.114870 · Cited by 6 · see citing works
Zhao, E., Yu, Q., Wang, M., Wang, Z., Jiang, B., Ma, X., Zhou, B., Dai, Q., Li, J., Wang, S., et al. (2024) · Neuroscience Letters · doi:10.1016/j.neulet.2024.137687 · Cited by 6 · see citing works
Self-citationCircular RNA-based liquid biopsy: a promising approach for monitoring drug resistance in cancer
Singh, D. D., Yadav, D. K., & Shin, D. (2025) · Cancer Drug Resistance · doi:10.20517/cdr.2025.142 · Cited by 5 · see citing works
Zhang, P., Xiong, Y., Wang, B., Zhou, Y., Wang, Z., Shi, J., Li, C., Lu, X., & Chen, G. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.1019367 · Cited by 5 · see citing works
Self-citationShi, Y., Zhao, E., Gong, W., Gao, Q., Yang, L., Xi, G., Yan, H., Weng, H., Wang, F., Geng, F., et al. (2025) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2025.1617553 · Cited by 4 · see citing works
Self-citationCircular RNAs as putative biomarkers for depression diagnosis and treatment
Greer, T. L. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103362 · Cited by 4 · see citing works
Potential and functional prediction of six circular RNAs as diagnostic markers for colorectal cancer
Liu, L., Jiang, D., Qu, Y., Wang, H., Zhang, Y., Yang, S., Xie, X., Wu, S., Zhou, H., & Xu, G. (2022) · PeerJ · doi:10.7717/peerj.13420 · Cited by 4 · see citing works
The emerging role of circular RNAs in neuropsychiatric disorders
Huang, S., Song, Z., Pan, J., Luo, Y., & Chen, Y. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03787-5 · Cited by 3 · see citing works
Biomarkers For the Diagnosis of Depression: Recent Updates
Kore, M. S., & Prabhavalkar, K. S. (2022) · Current Psychiatry Research and Reviews · doi:10.2174/2666082219666221114114738 · Cited by 3 · see citing works
Lu, C. T., Tian, L., Wei, Z., Jiang, Y., Shao, M., Zhu, Y., & Wu, L. (2026) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2026.121330 · Cited by 2 · see citing works
Addictive drug abuse and depression-a focus on epigenetics
Zhang, W., Xu, M., Wang, C., Liang, H., Zhu, X., Pan, Y., & Guo, F. (2026) · Communications Biology · doi:10.1038/s42003-026-09705-9 · Cited by 2 · see citing works
CircRNAs as a Novel Class of Potential Diagnostic Biomarkers in Bipolar Disorders
Asemi, R., Ebrahimi, A., Hamblin, M. R., Mirzaei, H., & Asemi, Z. (2023) · Current Medicinal Chemistry · doi:10.2174/0929867331666230713143322 · Cited by 2 · see citing works
Xiong, Y., Liu, X., & Wang, Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-05873-6 · Cited by 2 · see citing works
Profiles of circular RNAs in human blood and their potential roles in preeclampsia
Liu, M., Luo, X., Gao, L., Shi, M., Zhou, R., & Wang, T. (2022) · Archives of Medical Science · doi:10.5114/aoms/145848 · Cited by 2 · see citing works
Wylie, W., Mellios, N., & Bourgeois, J. A. (2025) · Journal of Neuropsychiatry · doi:10.1176/appi.neuropsych.20240086 · Cited by 1 · see citing works
Zhang, G., Xu, D., Bu, S., Li, L., Jiao, J., Shi, Y., Xu, Y., Kong, Y., & Zhang, Z. (2025) · NeuroMarkers. · doi:10.1016/j.neumar.2025.100114 · Cited by 1 · see citing works
Self-citationThe role of ncRNAs in depression
Luan, X., Xing, H., Guo, F., Liu, W., Jiao, Y., Liu, Z., Wang, X., & Gao, S. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e27307 · Cited by 1 · see citing works
CircRNA-miRNA-mRNA Regulatory Network in Colorectal CancerPreprint
Liu, L., Wu, S., Jiang, D., Qu, Y., Wang, H., Zhang, Y., Xie, X., Zhou, H., & Xu, G. (2021) · Research Square · doi:10.21203/rs.3.rs-829473/v1 · Cited by 1 · see citing works
The potential of cricMAN1A2 as a novel biomarker for gout diagnosisPreprint
Guo, W., Liu, K., Sun, J., Zhang, Q., Du, M., Chen, Y., Lin, X., Wu, Q., & Yang, X. (2023) · Research Square · doi:10.21203/rs.3.rs-3207002/v1
Xu, D., Huang, Z., Zhang, G., Jiao, J., Cao, Y., Liu, M., Kong, Y., & Zhang, Z. (2025) · Genes & Diseases · doi:10.1016/j.gendis.2025.101718
Self-citationHsa_circ_0015335 as a potential biomarker for cognitive decline in type 2 diabetes mellitus
Wang, S., Xi, G., Hang, J., Deng, J., Wang, P., Li, Y., Hu, K., Li, L., Shi, Y., & Wang, X. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251405447
Self-citationPlasma Circular RNAs as Potential Biomarkers to Assist in the Diagnosis of Postpartum Depression
Zhang, F., Zhang, Y., Qiao, D., Yu, H., Yu, H., & Yu, H. (2026) · Clinical and Experimental Obstetrics & Gynecology · doi:10.31083/ceog47150
circFKBP8(5S,6)-encoded protein modulates α-synuclein expression in SH-SY5Y cells
Uzoechina, J. O., & Zhang, Z. (2026) · Molecular Biology Reports · doi:10.1007/s11033-026-11723-z
Self-citationExploring potential value of neutrophil extracellular traps in major depressive disorder
Shi, Y., Zhang, G., Ji, Y., Xi, G., You, Y., Deng, J., Gao, Q., Mao, H., Lu, X., Zhang, X., et al. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1818375
Self-citationGuo, W., Liu, K., Sun, J., Zhang, Q., Jiao, X., Ru, P., Chen, Y., & Yang, X. (2026) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2026.1791371
Yu, X., Lü, Y., Tan, Z., Gao, S., Ye, L., Luo, X. H., Xie, J., Miao, Y., Wang, B., Liang, C., et al. (2026) · Journal of Nanobiotechnology · doi:10.1186/s12951-026-04734-2
Li, J., Guan, X., Zhang, R., & Zhang, H. (2026) · Journal of Translational Medicine · doi:10.1186/s12967-026-08772-0
Self-citation
- Authors
- Shi, Y., Song, R., Wang, Z., Zhang, H., Zhu, J., Yue, Y., Zhao, Y., & Zhang, Z.
- Affiliations
- Zhongda Hospital Southeast University (CN)
- Henan Medical University (CN)
- Nanjing Medical University (CN)
- Chinese Academy of Sciences (CN)
- Corresponding author
- Zhao, Yang
- Zhang, Zhijun
- Venue
- eBioMedicine
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 66
- Pages
- 103337
- ISSN
- 2352-3964 (ISSN-L)
- PMC
- PMC8054154
- OpenAlex
- W3153849416
- Cited by
- 65
- References
- 90
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 12 · 2023: 9 · 2022: 14 · 2021: 9
- FWCI
- 3.45
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- EBioMedicine (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Key Research and Development Program of China (2016YFC1306700)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Circular RNAs in diseases
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
- Keywords
- circular RNA, major depressive disorder, peripheral biomarkers, antidepressant response, brain-derived neurotrophic factor, differentially expressed circRNAs, depression diagnosis
- MeSH terms
- Cell-Free Nucleic Acids, RNA, Circular, Adult, Brain, Brain Mapping, Depressive Disorder, Major, Major Depressive Disorder, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Prognosis, Biomarkers, Case-Control Studies, Computational Biology, Gene Expression Profiling, Young Adult, High-Throughput Nucleotide Sequencing, Transcriptome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
