Abstract
Background
A specific biological vulnerability underlies suicidal behavior. Recent findings have suggested a possible role of inflammation and neuroaxonal injury. However, the relationship between inflammation and clinical symptoms in this disorder is still unclear. The objective of this study is applying novel blood markers of neuroaxonal integrity such as neurofilament light chain (NfL) and comparing the results with the healthy control subjects.
Methods
In this cross-sectional study patients with suicide attempts were evaluated. The serum concentration of NfL on admission was measured by enzyme-linked immunosorbent assays.
Results
A total of 50 patients with a suicide attempts and 35 healthy controls were included in the study. The levels of NfL in attempted suicide patients were significantly higher in comparison with healthy controls (40.52 ± 33.54 vs 13.73 ± 5.11, P < 0.001). A significant association between serum levels of NfL and risk factors for suicide was not found.
Conclusion
These findings indicate that axonal damage may be an underlying neuropathological component of suicide attempt patients, although no correlation was observed with clinical features. This line of work could lead to new horizons in understanding the neurobiology of suicidal attempts and the development of better management strategies for these patients.
1 Introduction
According to the World Health Organization, over 800,000 people commit suicide every year around the world [1]. In nonfatal suicide attempts, the number may be between 10 and 20 times higher [1]. In up to 90% of suicide cases, psychiatric disorders like mood disorders, psychosis, or substance abuse are present [2]. Early detection and treatment of these disorders are the most effective ways to prevent suicide [2].
The possibility of immunological abnormalities has been shown in biomarker studies in suicidal patients [3–5]. A number of studies support the presence of inflammatory alterations in major depressive disorder (MDD) [6,7], schizophrenia [8], and bipolar disorder [9]. By supporting synaptic remodeling [10], neurogenesis, neurological circuitry, neurotransmitters, and synaptic integrity, cytokines play a main role in the development and healthy function of the brain [11].
The neurofilament light chain (NfL) is a subunit of neurofilament that is highly expressed in the axon and dendrites, where it contributes to structural stability in neurons [12]. A neuroaxonal injury due to neuroinflammatory, neurodegenerative, traumatic, or vascular damage causes NfL to be released in large quantities. This NfL enters the interstitial fluid, which communicates freely with the cerebrospinal fluid (CSF) and blood [12,13]. As reported by Disanto et al., NfL concentrations in the blood are nearly 40-fold lower than those in the CSF [13]. Nevertheless, the NfL measure in blood was proposed as a prognostic and monitoring tool for a broad range of neurological and neuropsychiatric disorders [14,15], including multiple sclerosis, Alzheimer’s, and traumatic brain injuries [12,13,16].
A growing body of evidence suggests that MDD and bipolar disorder are associated with neuroinflammation and neuroaxonal damage [17–20]. An assessment of myelinated axons found a clear reduction in myelin of the callosal splenium in patients with MDD compared to control participants [19]. The chronic stress model for depression in animals showed fewer synapses and myelinated axons [17].
There are some promising biochemical results in the area of suicidal behavior that can be used to construct an initial biological model for prediction [21]. However, studies on the association between NfL and suicide attempts are limited. Following the observation that neuroaxonal injury has been implicated in mood disorders, and that NfL has been identified as a biomarker of neuroaxonal injury in various neurological conditions, we explored the hypothesis that suicidal behavior is accompanied by an increase in NfL values, possibly suggesting its role as a biomarker in suicidality. Currently, there is no clinical predictor available, and no biomarkers have been established to aid clinicians in predicting suicidal behavior or identifying potential targets for treatment.
2 Methods
This analytical cross-sectional study was performed on 50 patients and 35 healthy control subjects. Cases were selected from patients admitted to the toxicology unit of Loghman-Hakim Hospital, Tehran, Iran. The comparison group consisted of healthy volunteers with no history of suicide and/or psychiatric problems (self-declared).
Patients with a confirmed diagnosis of suicide, determined by the clinical assessment and according to the Diagnostic and Statistical Manual of mental disorders fifth edition criteria for bipolar disorder and MDD, were recruited. Age, sex, pre-morbid risk factors potentially predisposing to suicide (e.g., a history of physical abuse [i.e., corporal punishment or any physical injury resulting from aggressive behavior towards the patient], sexual abuse [rape], family dysfunction [i.e., divorce, single parent, significant family disputes, etc.], academic failure [school dropout or repeated grades], history of suicide attempt, and family history of suicide) of all suicide patients were registered. Other clinical and demographic variables were extracted from the medical records. Exclusion criteria included (a) patients under 18 or over 50 years of age and (b) those with other neurological or medical conditions.
-
Ethical approval: The research related to human use has been complied with all the relevant national regulations, institutional policies, and in accordance to the tenets of the Helsinki Declaration, and has been approved by the ethics committee of the Shahid Beheshti University of Medical Sciences, Tehran, Iran (ethics committee number: IR.SBMU.RETECH.REC.1400.1022).
-
Informed consent: Informed consent has been obtained from all individuals included in this study.
3 Blood collection and measurement of NfL levels
Venous blood samples were taken in all the patients within 24 h of admission. Five milliliters of venous blood were collected from each participant in the study and centrifuged at 4,000 × g for 10 min (at 4°C). Then serum was immediately separated, and aliquots were stored at −80°C.
Serum NfL levels were measured using the commercially available enzyme-linked immunosorbent assay kit, according to the manufacturer’s instructions (ZB-13164S-H9648; ZellBio GmbH, Ulm, Germany). The serum NfL levels were expressed as ng/mL. The intra-assay and inter-assay coefficients of variation were 10 and 12%, respectively.
4 Statistical analysis
The analysis was performed using a statistical package for the social sciences (SPSS, version 18). Kolmogorov–Smirnov test was used to assess the normal distribution of variables. The numeric and categorical variables were expressed as mean ± s.d. frequency and percentage, respectively. The independent sample t-test, chi-square, and one-way ANOVA were applied to analyze the differences between variables in terms of quantitative and categorical data. In addition, linear regression analysis was performed to explore the association between NfL level with attempt suicide characteristics (i.e., duration, sexual abuse, physical abuse, etc.). A P-value under 0.05 was considered as statistically significant.
5 Results
As summarized in Table 1, the case group included 50 patients with a suicide attempt, consisting of 11 men and 39 women (mean age of 28.92 ± 11.34 years). Among 50 patients who attempted suicide, 28 (56%) persons had bipolar disorder and 22 (44%) subjects had a MDD. The disease duration before the final diagnosis was 6.56 ± 6.39 years. The comparison group was 35 volunteer healthy subjects, 10 men and 25 women with 30 ± 6.27 years on average. No significant differences were found in the main demographic variables (i.e., sex and age) between the groups. However, the groups differed significantly regarding some characteristics (e.g., education level, current employment, and dysfunctional family).
Characteristics and clinical features of study groups
Variables | Case group (N = 50) | Comparison group (N = 35) | P-value | |
---|---|---|---|---|
Sex (N, %) | ||||
Female | 39 (78) | 25 (71.4) | 0.489 | |
Male | 11 (22) | 10 (28.6) | ||
Age (mean ± s.d.^) | 28.92 ± 11.34 | 30 ± 6.27 | 0.611 | |
Diagnosis DSM-V (N, %) | ||||
Bipolar disorder | 28 (56) | NA* | — | |
MDD | 22 (44) | |||
Disease duration (years, mean ± s.d.) | 6.56 ± 6.39 | NA | — | |
Education years (mean ± s.d.) | 10.72 ± 2.38 | 13.17 ± 2.9 | 0.001 | |
Sexual abuse (N, %) | 13 (26) | NA | — | |
Physical abuse (N, %) | 14 (28) | NA | — | |
Dysfunctional family (N, %) | 25 (50) | 6 (17.1) | 0.001 | |
Family history of psychiatric (N, %) | 12 (24) | NA | — | |
Family history of suicide | 8 (16) | NA | — | |
History of suicide attempt (N, %) | 18 (36) | NA | — | |
Premenstrual syndrome (N, %) | 12 (24) | 8 (22.9) | 0.738 | |
Postpartum depression (N, %) | 6 (12) | NA | — | |
Medication (N, %) | 9 (18) | NA | — | |
Current employment (N, %) | 12 (26.1) | 20 (57.1) | 0.005 | |
Conflict (N, %) | 27 (54) | NA | — | |
Smoking (N, %) | 18 (36) | NA | — | |
Alcoholic (N, %) | 14 (28) | NA | — |
*Not applicable; ^ Standard deviation.
Following the t-test, significant differences were observed in the level of NfL: patients with suicide attempts had a higher concentration compared with those in healthy control (Figure 1).

Serum NfL level in patients with attempted suicide vs control ***P < 0.001. Mean ± s.d.
To assess whether higher levels of NfL in patients with suicide attempt is a consequence of the disease duration and pre-morbid risk factors potentially predisposing to suicide (history of physical abuse, sexual abuse, family dysfunction, academic failure, suicide attempt, and family history of suicide), the association between these variables was analyzed. There was no statistically significant association between NfL concentration and the above-mentioned variables. These results show that suicide per se can cause an increase in NfL compared with healthy controls.
6 Discussion
Early detection of individuals at high risk of self-harm can be made possible through the identification of biomarkers for suicidal behavior. A comparison of suicidal subjects with non-suicidal individuals revealed abnormalities in the monoamine system, in the hypothalamic–pituitary–adrenal (HPA) axis, lipid metabolism, inflammation, and neural plasticity. Over the past few years, studies related to the impact of adverse childhood experiences on the brain’s function have become more important, in particular genetic and epigenetic studies [22].
A study of post-mortem data from suicide victims has revealed brain changes in several cell types (neurons, glia, astrocytes, oligodendrocytes, etc.) of the cortex and subcortex [23]. Activation of the microglia may trigger increased CNS cytokine production, which can direct noradrenergic or serotonergic neurotransmission, potentially resulting in suicidal behavior [24]. According to Ducasse and colleagues’ meta-analysis, plasma levels of interleukin-2 (IL-2), IL-4, and transforming growth factor-β differ in suicidal patients and non-suicidal healthy subjects, which supports the hypothesis that altered inflammatory markers may be associated with suicidal behavior separately from mental illness [25]. There is also some evidence that plasma IL-6 levels may be associated with suicidal behaviors with violent methods, although other studies report the opposite [26].
Activation of the HPA axis can alter the level of cortisol, causing adverse effects on neurons [27]. Toll-like receptors (TLRs) are abnormally expressed by microglia, neurons, and astrocytes [28]. According to a study, suicide victims became more likely to express impaired TLR3 or TLR4 protein expression in dorsolateral prefrontal cortex (DLPFC) compared to controls. This suggests that TLR3 or TLR4 may be dysregulated in suicide victims [29]. As a result of microglia activation (e.g., DLPFC, anterior cingulate cortex [ACC], and mediodorsal thalamus), quinolinic acid production increases, and kynurenic acid production decreases, which leads to increased N-methyl-D-aspartate stimulation. Following an inflammatory state, neurotrophins, as well as the brain-derived neurotrophic factor, are diminished, which results in decrease in neurogenesis, and increased activation of the glutamatergic pathway, leading to neuronal death [30]. Activated microglia were found to be more prevalent in the white matter of the ACC and PFC of subjects who committed suicide than in subjects who died from other causes without mental disorders [31,32].
As previously discussed, mental disorders are one of the biggest risk factors for suicide [33]. An estimated 40% of those who completed suicide had previously contacted mental health services within the preceding year [34]. Neuroaxonal injury is suspected to play a pathophysiological role in MDD and bipolar disorder [35–37]. In the present study, patients with attempted suicide were diagnosed with bipolar disorder and MDD. Furthermore, our finding of increased NfL in the suicide attempt group is consistent with previous neuroimaging studies, which showed periventricular white-matter hyperintensities, and reduced anisotropy in the left orbitofrontal region and left anterior limb of the internal capsule [23]. It is important to note that increase in NfL appears to be the result of active pathological processes and not cumulative brain damage in patients with neuroinflammatory disorders [38]. NfL levels have been linked in both animal and human studies to neuroaxonal change that is macroscopically detected as white matter disruption or shrinkage of the brain [39,40]. Following suicidal behaviors, neuronal injury disintegration disrupts the blood-brain barrier and allows NfL to escape into tissues and enter the bloodstream.
According to one study, there were slight increase in NfL levels in the CSF of a subset of patients. Despite this, there was no obvious relation between NfL levels and clinical outcomes, such as manic or hypomanic episodes, suicidal attempts, or psychotic symptoms [20,41]. Similar, to previous research, we did not find significant relationships between NfL levels and several clinical variables using a linear regression model.
The causes of suicide include a diverse range of biological conditions, genetic predispositions, and environmental influences, but it is unclear if these abnormalities precede or follow suicide. To the best of our knowledge, this is the first study in suicidal patients with various underlying psychiatric disorders who showed increased NfL.
Although a single biological marker does not seem to be accurate enough to predict suicidal ideas or attempts, our results indicate that suicide attempts may induce neuroaxonal damage as demonstrated in neurodegenerative and neuropsychiatric disorders [14,15]. Research on the main molecular systems associated with suicide and their interactions with genetics, environment, and neuroplasticity is needed to improve our understanding of suicide [22].
7 Limitation
First, because of the small sample size of our study, the results should be interpreted with caution. Our limited financial resources restricted the use of a minimal sample size. Future studies are recommended in larger sample sizes, along with the concomitant measurements of other biomarkers. Second, psychiatric disorders and suicide are often overlapping; consequently, there is a possibility of difficulty in distinguishing between abnormalities due to suicide and those due to psychiatric diagnoses.
8 Conclusion
NfL in blood serum was investigated as a novel blood biomarker of neuroaxonal integrity in patients with suicide attempts. The study findings confirmed the hypothesis that patients with attempted suicide had higher levels of NfL than control subjects. Despite the lack of correlation between clinical features and levels of NfL, the role of some biological pathways in the onset of suicidal behavior could be more clearly discerned in longitudinal studies of larger samples.
Acknowledgment
The authors would like to thank the Clinical Research Development Unit (CRDU) of Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran for their cooperation and assistance throughout the period of study.
-
Author contributions: Leila Simani: study conceptualization and design, statistical analyses, and manuscript preparation. Mahtab Ramezani: study conceptualization and data collection. Others: data collection and manuscript preparation.
-
Conflict of interest: Authors state no conflict of interest.
-
Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
[1] Organization WH. Preventing suicide: a global imperative. World Health Organization; 2014.Search in Google Scholar
[2] Sisask M, Värnik A, Kõlves K, Konstabel K, Wasserman D. Subjective psychological well-being (WHO-5) in assessment of the severity of suicide attempt. Nord J Psychiatry. 2008;62(6):431–5.10.1080/08039480801959273Search in Google Scholar PubMed
[3] Lindqvist D, Isaksson A, Brundin L. Salivary cortisol and suicidal behavior—a follow-up study. Psychoneuroendocrinology. 2008;33(8):1061–8.10.1016/j.psyneuen.2008.05.012Search in Google Scholar PubMed
[4] Lindqvist D, Janelidze S, Hagell P, Erhardt S, Samuelsson M, Minthon L, et al. Interleukin-6 is elevated in the cerebrospinal fluid of suicide attempters and related to symptom severity. Bio Psychiatry. 2009;66(3):287–92.10.1016/j.biopsych.2009.01.030Search in Google Scholar PubMed
[5] Tonelli LH, Stiller J, Rujescu D, Giegling I, Schneider B, Maurer K, et al. Elevated cytokine expression in the orbitofrontal cortex of victims of suicide. Acta Psychiatrica Scandinavica. 2008;117(3):198–206.10.1111/j.1600-0447.2007.01128.xSearch in Google Scholar PubMed PubMed Central
[6] Dowlati Y, Herrmann N, Swardfager W, Liu H, Sham L, Reim EK, et al. A meta-analysis of cytokines in major depression. Biol Psychiatry. 2010;67(5):446–57.10.1016/j.biopsych.2009.09.033Search in Google Scholar PubMed
[7] Valkanova V, Ebmeier KP, Allan CL. CRP, IL-6 and depression: a systematic review and meta-analysis of longitudinal studies. J Affect Disord. 2013;150(3):736–44.10.1016/j.jad.2013.06.004Search in Google Scholar PubMed
[8] Potvin S, Stip E, Sepehry AA, Gendron A, Bah R, Kouassi E. Inflammatory cytokine alterations in schizophrenia: a systematic quantitative review. Biol Psychiatry. 2008;63(8):801–8.10.1016/j.biopsych.2007.09.024Search in Google Scholar PubMed
[9] Modabbernia A, Taslimi S, Brietzke E, Ashrafi M. Cytokine alterations in bipolar disorder: a meta-analysis of 30 studies. Biol Psychiatry. 2013;74(1):15–25.10.1016/j.biopsych.2013.01.007Search in Google Scholar PubMed
[10] Yirmiya R, Goshen I. Immune modulation of learning, memory, neural plasticity and neurogenesis. Brain Behav Immun. 2011;25(2):181–213.10.1016/j.bbi.2010.10.015Search in Google Scholar PubMed
[11] Haroon E, Raison CL, Miller AH. Psychoneuroimmunology meets neuropsychopharmacology: translational implications of the impact of inflammation on behavior. Neuropsychopharmacology. 2012;37(1):137–62.10.1038/npp.2011.205Search in Google Scholar PubMed PubMed Central
[12] Gaetani L, Blennow K, Calabresi P, Di Filippo M, Parnetti L, Zetterberg H. Neurofilament light chain as a biomarker in neurological disorders. J Neurol Neurosurg Psychiatry. 2019;90(8):870–81.10.1136/jnnp-2018-320106Search in Google Scholar PubMed
[13] Disanto G, Barro C, Benkert P, Naegelin Y, Schädelin S, Giardiello A, et al. Serum neurofilament light: a biomarker of neuronal damage in multiple sclerosis. Ann Neurol. 2017;81(6):857–70.10.1002/ana.24954Search in Google Scholar PubMed PubMed Central
[14] Bridel C, van Wieringen WN, Zetterberg H, Tijms BM, Teunissen CE, and the NFL Group, et al. Diagnostic value of cerebrospinal fluid neurofilament light protein in neurology: a systematic review and meta-analysis. JAMA Neurol. 2019;76(9):1035–48.10.1001/jamaneurol.2019.1534Search in Google Scholar PubMed PubMed Central
[15] Kuhle J, Kropshofer H, Haering DA, Kundu U, Meinert R, Barro C, et al. Blood neurofilament light chain as a biomarker of MS disease activity and treatment response. Neurol. 2019;92(10):e1007–15.10.1212/WNL.0000000000007032Search in Google Scholar PubMed PubMed Central
[16] Zetterberg H. Neurofilament light: a dynamic cross-disease fluid biomarker for neurodegeneration. Neuron. 2016;91(1):1–3.10.1016/j.neuron.2016.06.030Search in Google Scholar PubMed
[17] Csabai D, Wiborg O, Czéh B. Reduced synapse and axon numbers in the prefrontal cortex of rats subjected to a chronic stress model for depression. Front Cell Neurosci. 2018;12:24.10.3389/fncel.2018.00024Search in Google Scholar PubMed PubMed Central
[18] Duarte-Silva E, Macedo D, Maes M, Peixoto CA. Novel insights into the mechanisms underlying depression-associated experimental autoimmune encephalomyelitis. Prog Neuro-Psychopharmacol Biol Psychiatry. 2019;93:1–10.10.1016/j.pnpbp.2019.03.001Search in Google Scholar PubMed
[19] Williams MR, Sharma P, Macdonald C, Pearce R, Hirsch SR, Maier M. Axonal myelin decrease in the splenium in major depressive disorder. Eur Arch Psychiatry Clin Neurosci. 2019;269(4):387–95.10.1007/s00406-018-0904-4Search in Google Scholar PubMed PubMed Central
[20] Jakobsson J, Bjerke M, Ekman CJ, Sellgren C, Johansson AG, Zetterberg H, et al. Elevated concentrations of neurofilament light chain in the cerebrospinal fluid of bipolar disorder patients. Neuropsychopharmacology. 2014;39(10):2349–56.10.1038/npp.2014.81Search in Google Scholar PubMed PubMed Central
[21] Sudol K, Mann JJ. Biomarkers of suicide attempt behavior: towards a biological model of risk. Curr Psychiatry Rep. 2017;19(6):1–13.10.1007/s11920-017-0781-ySearch in Google Scholar PubMed
[22] Capuzzi E, Caldiroli A, Capellazzi M, Tagliabue I, Buoli M, Clerici M. Biomarkers of suicidal behaviors: a comprehensive critical review. Adv Clin Chem. 2020;96:179–216.10.1016/bs.acc.2019.11.005Search in Google Scholar
[23] van Heeringen K, Mann JJ. The neurobiology of suicide. The Lancet Psychiatry. 2014;1(1):63–72.10.1016/S2215-0366(14)70220-2Search in Google Scholar
[24] Steiner J, Bielau H, Brisch R, Danos P, Ullrich O, Mawrin C, et al. Immunological aspects in the neurobiology of suicide: elevated microglial density in schizophrenia and depression is associated with suicide. J Psychiatr Res. 2008;42(2):151–7.10.1016/j.jpsychires.2006.10.013Search in Google Scholar PubMed
[25] Ducasse D, Olié E, Guillaume S, Artéro S, Courtet P. A meta-analysis of cytokines in suicidal behavior. Brain Behav Immun. 2015;46:203–11.10.1016/j.bbi.2015.02.004Search in Google Scholar PubMed
[26] Eidan AJ, Al-Harmoosh RA, Al-Amarei HM. Estimation of IL-6, INFγ, and lipid profile in suicidal and nonsuicidal adults with major depressive disorder. J Interferon Cytokine Res. 2019;39(3):181–9.10.1089/jir.2018.0134Search in Google Scholar PubMed
[27] Hsu PC, Groer M, Beckie T. New findings: depression, suicide, and toxoplasma gondii infection. J Am Assoc Nurse Pract. 2014;26(11):629–37.10.1002/2327-6924.12129Search in Google Scholar PubMed
[28] Hanke ML, Kielian T. Toll-like receptors in health and disease in the brain: mechanisms and therapeutic potential. Clin Sci. 2011;121(9):367–87.10.1042/CS20110164Search in Google Scholar PubMed PubMed Central
[29] Pandey GN, Rizavi HS, Ren X, Bhaumik R, Dwivedi Y. Toll-like receptors in the depressed and suicide brain. J Psychiatr Res. 2014;53:62–8.10.1016/j.jpsychires.2014.01.021Search in Google Scholar PubMed PubMed Central
[30] Leonard B. Stress, depression and the activation of the immune system. World J Biol Psychiatry. 2000;1(1):17–25.10.3109/15622970009150562Search in Google Scholar PubMed
[31] Torres-Platas SG, Cruceanu C, Chen GG, Turecki G, Mechawar N. Evidence for increased microglial priming and macrophage recruitment in the dorsal anterior cingulate white matter of depressed suicides. Brain Behav Immun. 2014;42:50–9.10.1016/j.bbi.2014.05.007Search in Google Scholar PubMed
[32] Schnieder TP, Trencevska I, Rosoklija G, Stankov A, Mann JJ, Smiley J, et al. Microglia of prefrontal white matter in suicide. J Neuropathol Exp Neurol. 2014;73(9):880–90.10.1097/NEN.0000000000000107Search in Google Scholar PubMed PubMed Central
[33] Klonsky ED, May AM, Saffer BY. Suicide, suicide attempts, and suicidal ideation. Annu Rev Clin Psychol. 2016;12:307–30.10.1146/annurev-clinpsy-021815-093204Search in Google Scholar PubMed
[34] Bhatt M, Perera S, Zielinski L, Eisen RB, Yeung S, El-Sheikh W, et al. Profile of suicide attempts and risk factors among psychiatric patients: a case-control study. PLoS One. 2018;13(2):e0192998.10.1371/journal.pone.0192998Search in Google Scholar PubMed PubMed Central
[35] Cousins DA, Grunze H. Interpreting magnetic resonance imaging findings in bipolar disorder. CNS Neuroscience & Therapeutics. 2012;18(3):201–7.10.1111/j.1755-5949.2011.00280.xSearch in Google Scholar PubMed PubMed Central
[36] Liu Y, Tang X. Depressive syndromes in autoimmune disorders of the nervous system: prevalence, etiology, and influence. Front Psychiatry. 2018;9:451.10.3389/fpsyt.2018.00451Search in Google Scholar PubMed PubMed Central
[37] Guedes VA, Kenney K, Shahim P, Qu BX, Lai C, Devoto C, et al. Exosomal neurofilament light: a prognostic biomarker for remote symptoms after mild traumatic brain injury? Neurol. 2020;94(23):e2412–23.10.1212/WNL.0000000000009577Search in Google Scholar PubMed PubMed Central
[38] Cantó E, Barro C, Zhao C, Caillier SJ, Michalak Z, Bove R, et al. Association between serum neurofilament light chain levels and long-term disease course among patients with multiple sclerosis followed up for 12 years. JAMA Neurol. 2019;76(11):1359–66.10.1001/jamaneurol.2019.2137Search in Google Scholar PubMed PubMed Central
[39] Khalil M, Teunissen CE, Otto M, Piehl F, Sormani MP, Gattringer T, et al. Neurofilaments as biomarkers in neurological disorders. Nat Rev Neurol. 2018;14(10):577–89.10.1038/s41582-018-0058-zSearch in Google Scholar PubMed
[40] Yuan A, Rao MV, Nixon RA. Neurofilaments and neurofilament proteins in health and disease. Cold Spring Harb Perspect Biol. 2017;9(4):a018309.10.1101/cshperspect.a018309Search in Google Scholar PubMed PubMed Central
[41] Isgren A, Sellgren C, Ekman CJ, Holmén-Larsson J, Blennow K, Zetterberg H, et al. Markers of neuroinflammation and neuronal injury in bipolar disorder: relation to prospective clinical outcomes. Brain Behav Immun. 2017;65:195–201.10.1016/j.bbi.2017.05.002Search in Google Scholar PubMed
© 2022 Mahtab Ramezani et al., published by De Gruyter
This work is licensed under the Creative Commons Attribution 4.0 International License.