Printer Friendly

Plasma brain-derived neurotrophic factor as a biomarker for the main types of mild neurocognitive disorders and treatment efficacy: a preliminary study.

1. Introduction

Mild neurocognitive disorders (MNCDs) as an intermediate stage between normal cognitive aging and dementias, particularly Alzheimer's disease (AD), have recently become a subject of an increasing scientific interest [1]. This interest arises from the perspective of significant medical and social value and potential capability to prevent MNCD conversion into different types of dementias (major neurocognitive disorders). The diagnostic construct of MNCD is substantially congruent with the previously proposed nosological entity for mild cognitive impairment (MCI) [2]. It was shown that overlap between MNCD and MCI diagnosis is 98.6% [3].

According to recent epidemiological data, the overall prevalence of MNCDs among individuals older than 55 is 15.7%, with single-domain amnestic, multiple-domain amnestic, and nonamnestic subtype prevalence of 6.4%, 3.7%, and 5.6%, respectively [4]. Amnestic variants share about 65% in the structure of MNCDs [5]. The main etiological type of amnestic MNCDs is MNCD due to Alzheimer's disease (MNCD-AD) [6]. The second common etiological type of MNCD is subcortical vascular one (ScVMNCD) with the prevalence of 37.3% [7]. ScVMNCD manifests with clinical symptoms of subcortical vascular dementia, though the severity of the impairment does not reach the level of dementia and cognitive deficit does not interfere with the capacity for independence in everyday activities [8].

The investigation of neurobiological aspects of MNCDs might shed light on some pathogenetic mechanisms, which could become targets for management of MNCDs. The expression of growth factors, in particular brain-derived neurotrophic factor (BDNF), is one of them. In the majority of neurodegenerative and vascular dementias a reduction of BDNF concentration in the brain and concurrently in plasma [9] or serum has been reported [10,11]. Moreover, an increase of BDNF expression has been observed in patients taking selective serotonin reuptake inhibitors (SSRIs) and antidement drugs [10]. Therefore, we could assume that the decrease of plasma/serum BDNF level might be used as a biological marker of MNCD's diagnosis, whereas the increase of this neurotrophin might be used for the assessment of treatment efficiency.

Limited information is available for plasma/serum BDNF concentrations in patients with MNCDs. Although low levels of BDNF in serum [12] and plasma [13] were found in patients with MNCD-AD, no studies are available concerning BDNF levels in patients with ScVMNCD so far. Therefore, a comparative study of plasma BDNF levels in different etiological types of MNCDs seems to be relevant. The current lack of effective MNCD's treatment based on a high-level evidence warrants a search for new approaches based on neuroprotective strategies.

Hence, the purpose of our study was to evaluate plasma BDNF concentrations in patients with the main etiological types of MNCDs and to determine whether the assessment of plasma BDNF level could improve the diagnostics of MNCDAD and ScVMNCD. We also aimed to study the dynamics of plasma BDNF in MNCD-AD/ScVMNCD patients after escitalopram treatment. We chose escitalopram taking into account the evidence about its stimulation of BDNF expression [14], a frequent comorbidity of MNCDs and depressive or/and anxiety disorders [15], as well as the priorities of escitalopram efficacy and safety in this clinical setting [16].

2. Materials and Methods

2.1. Subjects and Procedures. 59 persons over 65 years were enrolled in the study. 21 patients met the diagnostic criteria for possible MNCD-AD according to DSM-5 [2]. 22 patients fulfilled the diagnostic criteria for ScVMNCD according to Frisoni et al. [8] and probable neuroimaging-supported diagnosis of vascular MNCD according to DSM-5 [2]. 16 subjects were recruited in a control group without cognitive impairment (WCI). This study was approved by the local ethics committee and was performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. All participants gave written informed consent prior to participation in the study.

2.2. Assessments. Clinical protocol included the following: (1) collection of anamnestic data; (2) neuropsychological testing: MMSE [17], Luria's tests [18], study of memory (TIME test) [19], clock drawing test [20], and verbal fluency test [21]; (3) neuropsychiatric assessment using the Neuropsychiatric Inventory (NPI) [22]; (4) neurological examination with detailed assessment of walking, Tinetti Performance Oriented Mobility Assessment (POMA) [23]; and (5) the assessment of daily living activities, BADL [24]. The severity of impairments was evaluated on a scale with a range from 0 to 3 (where 0 meant "not impaired" and 3 meant "the most impaired") or according to authors' recommendations to the scales. Patients underwent MRI or CT brain scan to fulfill the criteria of MNCD-AD and ScVMNCD.

2.3. Biochemical Investigation. BDNF levels were measured by the ELISA method (kit supplied by R&D Systems, Inc., Minneapolis, USA), according to the manufacturer's protocol using the immunoassay photometer "ImmunoChem2100" (USA). Clinical studies and the evaluation of plasma BDNF concentrations were performed twice: at baseline in all enrolled persons and after 2 months of escitalopram treatment (daily dosage: 10 mg) in 20 patients with MNCDs. This dosage was prescribed in accordance with the FDA instruction for using the drug in elderly patients.

2.4. Statistical Analysis. Statistical analyses were conducted using "STATISTICA 6.0" for Windows (StatSoft Inc., USA) v.6.1 and SPSS (version 19.0, SPSS Inc., Chicago, USA). The results were given as percentage, median, and interquartile range or mean and standard deviation, depending on the data distribution. The statistical significance of between-group comparisons was determined using parametric and nonparametric criteria when appropriate (Kruskal-Wallis test with subsequent multiple comparisons, Mann-Whitney test, Wilcoxon test, [chi square] test, ANOVA, post hoc Scheffe test, and t-test). The relationships between clinical variables and plasma BDNF levels were assessed using Spearman's ([r.sub.s]) or Pearson's (r) correlation coefficients. In addition, we calculated the areas under the receiver operating characteristic curves (AUC-ROC) to determine the value of plasma BDNF concentrations to discriminate patients with MNCD-AD and ScVMNCD. A cutoff was derived from ROC curve to yield empirical optimal sensitivity and specificity. Significance for the results was set at p < 0.05.

3. Results

The main demographic, cognitive, neuropsychiatric, neurological, and functional features of the comparison groups are summarized in Table 1. Surveyed cohorts did not differ by age, gender, and level of education. The severity of cognitive impairments (total MMSE score) corresponded to the recommended rates for those with MNCD. It was significantly higher in both MNCD-AD and ScVMNCD groups in comparison with control. Meanwhile, we found no significant difference in cognitive impairment between MNCD-AD and ScVMNCD groups.

The analysis revealed some significant clinical features that reliably distinguished patients with MNCD-AD and ScVMNCD. The most prominent feature of MNCD-AD patients was amnestic syndrome, which was significantly more severe in comparison with WCI. The severity of impairment of spontaneous delayed recall of five nouns was comparable in MNCD-AD and ScVMNCD groups. However, patients with MNCD-AD did not significantly improve the results of recall after cues. Subjects with MNCD-AD also had mild visuospatial apraxia when performing Luria's tests. This symptom differentiated MNCD-AD patients from controls and those with ScVMNCD, who did not have any visuospatial disturbances. We also found no significant neurological disturbances in MNCD-AD group. Similarly, patients with ScVMNCD showed distinct spontaneous delayed recall impairment, but they had significantly higher rates of cued verbal recognition than those with MNCDAD. In ScVMNCD group, we revealed pronounced executive and neurological disturbances in contrast to the WCI and MNCD-AD subjects. The executive dysfunction manifested in performing clock drawing test (part I), verbal fluency test, and Luria's tests for kinetic apraxia. Moreover, there were mild to moderate pseudobulbar signs and frontal lobe gait disturbances (decreased POMA score) in ScVMNCD patients. The total score of psychopathological impairments (NPI) of ScVMNCD group was significantly higher than for WCI group, whereas the NPI score between MNCD-AD and WCI groups differed only at the level of trend. Predominant psychopathological symptoms in WCI group were anxiety (93.8%), insomnia (75.0%), and irritability/emotional instability (56.3%). In MNCD-AD group we observed anxiety and sleep disturbances (by 90.5%), irritability/emotional instability (66.7%), and depression (61.9%), whereas in ScVMNCD group we observed apathy (90.9%), depression, anxiety, and sleep disturbances (by 86.4%).

On average, MNCD patients had minimal disruption in everyday activities by BADL scale; however, it was significantly different from controls.

Table 2 provides plasma BDNF concentrations in three comparison groups. At baseline, we detected reduced plasma BDNF levels in both MNCD groups. Nevertheless, only in MNCD-AD group the reduction was significant compared with control.

Next, we determined possible correlations between plasma BDNF concentrations and distinguishing clinical features of MNCD-AD and ScVMNCD groups described above (Table 3).

We found highly significant positive correlations between plasma BDNF levels and the score of spontaneous delayed recall (TIME test, five unrelated nouns) in MNCD-AD group, as well as moderate positive correlations between plasma BDNF levels and general cognitive functioning (MMSE total score). Plasma BDNF concentrations negatively associated with visuospatial apraxia and impairment in daily living activities (BADL score).

As for the ScVMNCD group, plasma BDNF concentrations significantly correlated only with spontaneous word recall and visuospatial deficit. These relationships were less significant in comparison with the MNCD-AD group. We observed no significant correlations between plasma BDNF and psychopathological impairment or patient's age in both MNCD groups. Hence, the reduction of BDNF levels predominantly influenced the severity of the amnestic syndrome in MNCD-AD patients and consequently the overall severity of cognitive and daily living impairment.

The discriminating ability of plasma BDNF for the MNCD-AD/ScVMNCD and control was determined by the AUC analysis. Figure 1 shows the receiver operating characteristic (ROC) curve for plasma BDNF in the diagnoses of MNCD-AD and ScVMNCD. The analysis of ROC curve yielded AUC of 0.866 (95% CI: 0.733-0.999) for MNCD-AD indicating good diagnostic value (p < 0.001). We derived arbitrarily the cut-off value of 21160 pg/mL from the coordinates of ROC curve as having optimal performances in discrimination between MNCD-AD and WCI persons. This plasma BDNF level showed high sensitivity (94%) and moderate specificity (67%). On contrary, plasma BDNF level exhibited poor discriminatory power in predicting the diagnosis of ScVMNCD: AUC 0.679 (95% CI: 0.506-0.852); p = 0.063 (Figure 1).

After two months of escitalopram treatment, 20 patients (10 in each MNCD group) underwent repeated clinical examination and evaluation of plasma BDNF concentrations. The results are shown in Table 4.

The intake of escitalopram increased plasma BDNF concentrations in both MNCD groups; nevertheless, those differences did not reach statistical significance. Simultaneously, escitalopram treatment improved clinical parameters in patients with MNCD-AD and ScVMNCD. Thus, we observed a significant increase in general level of cognitive functioning (MMSE total score) and a decrease in the frequency and severity of neuropsychiatric symptoms (mainly depression and anxiety) by NPI scale. We detected significant improvement in cognitive functioning in the MNCD-AD group, predominantly in memory domain (spontaneous delayed recall). At the same time, patients with ScVMNCD mainly improved executive functions (verbal fluency test, clock drawing test, and kinetic praxis), although the results were not statistically significant. The overall score of impairment in daily living activities (BADL score) decreased at the level of trend in both MNCD groups.

4. Discussion

In this study, we found a decrease in plasma BDNF concentrations in patients with the main etiological types of MNCDs. The decrease was significant in patients with MNCD-AD and correlated with the severity of amnestic syndrome. Plasma BDNF was found to be highly sensitive in distinguishing MNCD-AD patients from WCI subjects. After escitalopram treatment, we observed an increase in plasma BDNF levels in both MNCD groups and simultaneous improvement of distinguishing clinical features of MNCD-AD and ScVMNCD. Moreover, we found a good accuracy of plasma BDNF in discriminating patients with MNCD-AD and persons WCI. Our results are consistent with findings for amnestic MNCD obtained by Hwang and colleagues [13]. To the best of our knowledge, this is the first study of plasma BDNF levels in patients with ScVMNCD. Decreased plasma/serum BDNF levels have been previously reported only in different morphological types of vascular dementia [9,10].

As it was shown, brain neurodegenerative processes at the early AD stages could affect neurons and glial cells in the main areas of BDNF synthesis, such as the hippocampus, amygdala, and neocortex [25]. Therefore, our data suggest that low plasma BDNF concentrations in patients with MNCD-AD can be the direct sequence of decreased brain BDNF expression. Unlike neurodegeneration, microvascular process in ScVMNCD might not have such a marked influence on the sites of BDNF expression. However, the severity of nervous tissue damage in manifest vascular dementia might sufficiently decrease the BDNF synthesis [10].

The link between decreased BDNF concentrations and the severity of amnestic syndrome indicates a key role of BDNF in memory impairment among MNCD-AD patients. Jovanovic et al. reported that BDNF increased the opening of NMDA receptors and enhanced expression of AMPA receptors of the postsynaptic membrane, resulting in facilitating of long-term potentiation (LTP) [26]. LTP is a form of synaptic plasticity that represents a cellular model for learning and memory. It strengthens the synaptic transmission between two neurons, which remains for a long time after exposure to synaptic pathway. BDNF plays an important role in the late phase of LTP, which lasts at least eight hours after stimulation [27]. Furthermore, BDNF is involved in axons' branching and dendrites' growth of glutamatergic neurons [28]. That increases the density of glutamatergic synapses in hippocampal and neocortical structures. Thus, not only is reduced serum BDNF level an early marker of cognitive impairment of neurodegenerative etiology, but it also reflects pathogenetic aspects of neurocognitive disorders, such as the reduced support of synaptic plasticity underlying in memory process.

The ability of plasma BDNF level to discriminate patients with MNCD-AD makes it a candidate biomarker for early identification, monitoring, and intervention assessment in such an etiological type of MNCDs.

Our study demonstrated that escitalopram treatment (10 mg per day) led to an increase in plasma BDNF levels in both MNCD-AD and ScVMNCD groups. The increase of plasma BDNF levels correlated with a significant improvement in cognitive functioning and reduction of neuropsychiatry symptoms (predominantly depression and anxiety) in both MNCD groups as well as with significant amelioration in memory performance in MNCD-AD patients and uncertain improvement in executive functions in ScVMNCD persons. According to Ladea and Bran, treatment with escitalopram can significantly reduce the severity of depressive symptoms and simultaneously increase serum BDNF concentrations in elderly patients [29]. Meanwhile, our study demonstrated a positive effect of escitalopram on cognitive functioning in patients with MNCD, mainly in the memory domain. Probably, the impact of escitalopram is mediated by the raise of the expression of BDNF in hippocampal and neocortical brain structures, which in turn leads to normalization of glutamate-dependent mechanism of synaptic plasticity.

This study has some limitations. As a preliminary study, our sample size was relatively small. Another limitation is that the ELISA kit we used quantified the total BDNF concentrations without distinction between pro-BDNF and mature BDNF variants. Furthermore, our findings are based on the concept that plasma BDNF level is associated with alterations in the brain [30]. Although peripheral BDNF might originate from non-brain tissues, muscle, thymus, heart, liver, lung, spleen, and vascular smooth muscle cells [31, 32], positive correlations have been found between concentrations of BDNF in cerebrospinal fluid and plasma [33]. Since there were few studies that investigated BDNF levels in patients with MNCDs, our results need confirmation in larger samples with control for non-brain sources of BDNF and measurement of two BDNF variants.

5. Conclusions

In conclusion, our study demonstrated a decrease of plasma BDNF concentrations in patients with the main MNCDs' etiological types, which was more significant in subjects with MNCD-AD. In patients with MNCD-AD, the reduction of plasma BDNF concentrations was predominantly associated with the memory process impairment. Plasma BDNF levels showed high sensitivity for detecting MNCD-AD. Escitalopram treatment in patients with MNCD-AD and ScVMNCD led to an increase in plasma BDNF concentrations and, as a result, to a decrease of cognitive deficits, as well as to a decrease of depressive and anxiety symptom severity. Plasma BDNF concentrations might be used as a reliable biomarker for the validation of MNCD-AD diagnosis and assessment of treatment efficacy.

Competing Interests

The authors have no conflict of interests to declare.


[1] O. V. Forlenza, B. S. Diniz, F. Stella, A. L. Teixeira, and W. F. Gattaz, "Mild cognitive impairment (part 1): clinical characteristics and predictors of dementia," Revista Brasileira de Psiquiatria, vol. 35, no. 2, pp. 178-185, 2013.

[2] American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders, Text Revision, American Psychiatric Association, Arlington, Va, USA, 5th edition, 2013.

[3] T. Luck, F. S. Then, M. L. Schroeter et al., "Prevalence of DSM-5 mild neurocognitive disorder in dementia-free older adults--results of the population-based LIFE-adult-study," The American Journal of Geriatric Psychiatry, 2016.

[4] X. Li, C. Ma, J. Zhang et al., "Prevalence of and potential risk factors for mild cognitive impairment in community-dwelling residents of Beijing," Journal of the American Geriatrics Society, vol. 61, no. 12, pp. 2111-2119, 2013.

[5] D. Ding, Q. Zhao, Q. Guo et al., "Prevalence of mild cognitive impairment in an urban community in China: a cross-sectional analysis of the Shanghai Aging Study," Alzheimer's & Dementia, vol. 11, no. 3, pp. 300-309.e2, 2015.

[6] M. S. Albert, S. T. DeKosky, D. Dickson et al., "The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease," Alzheimer's and Dementia, vol. 7, no. 3, pp. 270-279, 2011.

[7] H. Ishii, K. Meguro, S. Yamaguchi, H. Ishikawa, and A. Yamadori, "Prevalence and cognitive performances of vascular cognitive impairment no dementia in Japan: the Osaki-Tajiri Project," European Journal of Neurology, vol. 14, no. 6, pp. 609-616, 2007.

[8] G. B. Frisoni, S. Galluzzi, L. Bresciani, O. Zanetti, and C. Geroldi, "Mild cognitive impairment with subcortical vascular features: clinical characteristics and outcome," Journal of Neurology, vol. 249, no. 10, pp. 1423-1432, 2002.

[9] A. Passaro, E. D. Nora, M. L. Morieri et al., "Brain-derived neurotrophic factor plasma levels: relationship with dementia and diabetes in the elderly population," The Journals of Gerontology--Series A Biological Sciences and Medical Sciences, vol. 70, no. 3, pp. 294-302, 2015.

[10] M. Ventriglia, R. Zanardini, C. Bonomini et al., "Serum brain-derived neurotrophic factor levels in different neurological diseases," BioMed Research International, vol. 2013, Article ID 901082, 7 pages, 2013.

[11] O. A. Levada and N. V. Cherednichenko, "Brain-derived neurotrophic factor (BDNF): neurobiology and marker value in neuropsychiatry," Likars'ka Sprava, no. 3-4, pp. 15-25, 2015.

[12] J. G. Lee, B. S. Shin, Y. S. You et al., "Decreased serum brain-derived neurotrophic factor levels in elderly Korean with dementia," Psychiatry Investigation, vol. 6, no. 4, pp. 299-305, 2009.

[13] K. S. Hwang, A. S. Lazaris, J. A. Eastman et al., "Plasma BDNF levels associate with Pittsburgh compound B binding in the brain," Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, vol. 1, no. 2, pp. 187-193, 2015.

[14] A. Martocchia, M. Curto, S. Scaccianoce et al., "Effects of escitalopram on serum BDNF levels in elderly patients with depression: a preliminary report," Aging Clinical and Experimental Research, vol. 26, no. 4, pp. 461-464, 2014.

[15] C. Andreescu, E. Teverovsky, B. Fu, T. F. Hughes, C.-C. H. Chang, and M. Ganguli, "Old worries and new anxieties: behavioral symptoms and mild cognitive impairment in a population study," The American Journal of Geriatric Psychiatry, vol. 22, no. 3, pp. 274-284, 2014.

[16] A. Cipriani, T. A. Furukawa, G. Salanti et al., "Comparative efficacy and acceptability of 12 new-generation antidepressants: a multiple-treatments meta-analysis," The Lancet, vol. 373, no. 9665, pp. 746-758, 2009.

[17] M. F. Folstein, S. E. Folstein, and P. R. McHugh, "'Mini-mental state'. A practical method for grading the cognitive state of patients for the clinician," Journal of Psychiatric Research, vol. 12, no. 3, pp. 189-198, 1975.

[18] A. R. Luria, Higher Cortical Functions in Man, Basic Books, New York, NY, USA, 1966.

[19] M. R. Schoenberg and J. G. Scott, The Little Black Book of Neuropsychology, Springer Science + Business Media, New York, NY, USA, 2011.

[20] D. J. Libon, R. A. Swenson, E. J. Barnoski, and L. P. Sands, "Clock drawing as an assessment tool for dementia," Archives of Clinical Neuropsychology, vol. 8, no. 5, pp. 405-415, 1993.

[21] J. G. Borkowski, A. L. Benton, and O. Spreen, "Word fluency and brain damage," Neuropsychologia, vol. 5, no. 2, pp. 135-140, 1967.

[22] J. L. Cummings, M. Mega, K. Gray, S. Rosenberg-Thompson, D. A. Carusi, and J. Gornbein, "The neuropsychiatric inventory: comprehensive assessment of psychopathology in dementia," Neurology, vol. 44, no. 12, pp. 2308-2314, 1994.

[23] M. E. Tinetti, "Performance-oriented assessment of mobility problems in elderly patients," Journal of the American Geriatrics Society, vol. 34, no. 2, pp. 119-126, 1986.

[24] R. S. Bucks, D. L. Ashworth, G. K. Wilcock, and K. Siegfried, "Assessment of activities of daily living in dementia: development of the Bristol Activities of Daily Living Scale," Age and Ageing, vol. 25, no. 2, pp. 113-120, 1996.

[25] K. Schindowski, K. Belarbi, and L. Buee, "Neurotrophic factors in Alzheimer's disease: role of axonal transport," Genes, Brain and Behavior, vol. 7, no. 1, pp. 43-56, 2008.

[26] J. N. Jovanovic, A. J. Czernik, A. A. Fienberg, P. Greengard, and T. S. Sihra, "Synapsins as mediators of BDNF-enhanced neurotransmitter release," Nature Neuroscience, vol. 3, no. 4, pp. 323-329, 2000.

[27] M. Korte, H. Kang, T. Bonhoeffer, and E. Schuman, "A role for BDNF in the late-phase of hippocampal long-term potentiation," Neuropharmacology, vol. 37, no. 4-5, pp. 553-559, 1998.

[28] A. K. McAllister, L. C. Katz, and D. C. Lo, "Neurotrophins and synaptic plasticity," Annual Review of Neuroscience, vol. 22, pp. 295-318, 1999.

[29] M. Ladea and M. Bran, "Brain derived neurotrophic factor (BDNF) levels in depressed women treated with open-label escitalopram," Psychiatria Danubina, vol. 25, no. 2, pp. 128-132, 2013.

[30] M. Polyakova, C. Sander, K. Arelin et al., "First evidence for glial pathology in late life minor depression: S100b is increased in males with minor depression," Frontiers in Cellular Neuroscience, vol. 9, article 406, 2015.

[31] M. Serra-Millas, "Are the changes in the peripheral brain-derived neurotrophic factor levels due to platelet activation?" World Journal of Psychiatry, vol. 6, no. 1, pp. 84-101, 2016.

[32] T. Nakahashi, H. Fujimura, C. A. Altar et al., "Vascular endothelial cells synthesize and secrete brain-derived neurotrophic factor," FEBS Letters, vol. 470, no. 2, pp. 113-117, 2000.

[33] A. Pillai, A. Kale, S. Joshi et al., "Decreased BDNF levels in CSF of drug-naive first-episode psychotic subjects: correlation with plasma BDNF and psychopathology," The International Journal of Neuropsychopharmacology, vol. 13, no. 4, pp. 535-539, 2010.

Oleg A. Levada, Nataliya V. Cherednichenko, Andriy V. Trailin, and Alexandra S. Troyan

State Institution "Zaporizhzhia Medical Academy of Postgraduate Education Ministry of Health of Ukraine", 20 Winter Boulevard, Zaporizhia 69096, Ukraine

Correspondence should be addressed to Oleg A. Levada;

Received 9 June 2016; Revised 14 July 2016; Accepted 23 July 2016

Academic Editor: Luisella Bocchio-Chiavetto

Caption: FIGURE 1: ROC curves for plasma BDNF to diagnose MNCD-AD (a) and ScVMNCD (b). AUCs (95% confidence intervals) are 0.866 (0.733-0.999) for MNCD-AD (p < 0.001) and 0.679 (0.506-0.852) for ScVMNCD (p = 0.063). ROC receiver-operating characteristic. AUC area under the curve. MNCD-AD mild neurocognitive disorder due to Alzheimer's disease. ScVMNCD subcortical mild neurocognitive disorder.
TABLE 1: Main demographic, cognitive, psychiatric, neurological,
neuropsychiatrie, and functional characteristics in comparison

Variables                      Comparison groups

                                  WCI (n = 16)

Age (years)                    72.06 [+ or -] 5.25
Gender, male/female                   4/12
Education (years)              12.88 [+ or -] 2.70
MMSE, score                        28 (28-29)
Delayed recall, TIME test,           4(4-5)
  number of words (0-5)
Delayed recognition, TIME           9 (8-10)
  test, number of words
Clock drawing test, part I,         9 (9-10)
  score (0-10)
Verbal fluency, number of         19 (15-25.5)
  words during 3 min.
Kinetic apraxia, Luria's             0 (0-0)
  tests, score (0-3)
Visuospatial apraxia,                0 (0-0)
  Luria's tests, score (0-3)
The severity of                      0 (0-1)
  pseudobulbar syndrome,
  score (0-3)
POMA, score (0-28)                27.5 (26-28)
NPI, score (0-144)                  7 (4-10)
Depression, NPI (n, %)              5 (31.3)
Anxiety, NPI (n, %)                 15 (93.8)
Apathy, NPI (n, %)                    0(0)
Irritability, NPI (n, %)            9 (56.3)
Sleep, NPI (n, %)                   12 (75.0)
BADL, score (0-60)                   0 (0-0)

Variables                      Comparison groups

                                MNCD-AD (n = 21)

Age (years)                    73.90 [+ or -] 5.52
Gender, male/female                   8/13
Education (years)              11.67 [+ or -] 4.51
MMSE, score                        26 (26-27)
Delayed recall, TIME test,           2 (1-2)
  number of words (0-5)
Delayed recognition, TIME            5 (5-7)
  test, number of words
Clock drawing test, part I,         9 (9-10)
  score (0-10)
Verbal fluency, number of          15 (12-21)
  words during 3 min.
Kinetic apraxia, Luria's             0 (0-0)
  tests, score (0-3)
Visuospatial apraxia,                1 (0-1)
  Luria's tests, score (0-3)
The severity of                      0 (0-1)
  pseudobulbar syndrome,
  score (0-3)
POMA, score (0-28)                 26 (25-26)
NPI, score (0-144)                  11 (8-14)
Depression, NPI (n, %)              13 (61.9)
Anxiety, NPI (n, %)                 19 (90.5)
Apathy, NPI (n, %)                  9 (42.9)
Irritability, NPI (n, %)            14 (66.7)
Sleep, NPI (n, %)                   19 (90.5)
BADL, score (0-60)                   1 (1-1)

Variables                      Comparison groups      p value

                                ScVMNCD (n = 22)     WCI versus

Age (years)                    74.14 [+ or -] 5.69
Gender, male/female                   9/13           0.399 (b)
Education (years)              12.59 [+ or -] 3.83
MMSE, score                        26 (24-27)         0.000008
Delayed recall, TIME test,           2(2-3)           <0.00001
  number of words (0-5)
Delayed recognition, TIME            8(7-9)           <0.00001
  test, number of words
Clock drawing test, part I,         7.5 (7-8)           0.46
  score (0-10)
Verbal fluency, number of         13.5 (10-17)          0.51
  words during 3 min.
Kinetic apraxia, Luria's             2 (1-3)            1.0
  tests, score (0-3)
Visuospatial apraxia,                0 (0-1)           0.019
  Luria's tests, score (0-3)
The severity of                      2 (1-2)            1.0
  pseudobulbar syndrome,
  score (0-3)
POMA, score (0-28)                17.5 (13-21)          0.06
NPI, score (0-144)                 12.5 (8-17)          0.13
Depression, NPI (n, %)              19 (86.4)         0.07 (b)
Anxiety, NPI (n, %)                 19 (86.4)         0.71 (b)
Apathy, NPI (n, %)                  20 (90.9)        0.003 (b)
Irritability, NPI (n, %)            10 (45.5)         0.52 (b)
Sleep, NPI (n, %)                   19 (86.4)         0.21 (b)
BADL, score (0-60)                   2 (1-2)           0.0001


                               WCI versus     MNCD-AD
                                 ScVMNCD      versus

Age (years)                     0.478 (a)
Gender, male/female             0.307 (b)    0.850 (b)
Education (years)               0.594 (a)
MMSE, score                     0.000001       0.93
Delayed recall, TIME test,       0.0001        0.34
  number of words (0-5)
Delayed recognition, TIME         0.04        0.0004
  test, number of words
Clock drawing test, part I,      0.00001      0.0019
  score (0-10)
Verbal fluency, number of         0.007        0.22
  words during 3 min.
Kinetic apraxia, Luria's         0.00001      0.00001
  tests, score (0-3)
Visuospatial apraxia,             0.89         0.19
  Luria's tests, score (0-3)
The severity of                  0.00002      0.00001
  pseudobulbar syndrome,
  score (0-3)
POMA, score (0-28)              <0.00001      0.00002
NPI, score (0-144)                0.025         1.0
Depression, NPI (n, %)         <0.0001 (b)   0.07 (b)
Anxiety, NPI (n, %)             0.72 (b)     0.67 (b)
Apathy, NPI (n, %)             <0.0001 (b)   0.001 (b)
Irritability, NPI (n, %)        0.51 (b)     0.16 (b)
Sleep, NPI (n, %)               0.37 (b)     0.73 (b)
BADL, score (0-60)              <0.00001       0.15

Mean [+ or -] standard deviation/median (lower/upper quartile)
values are presented.

WCI patients without cognitive impairment.

MNCD-AD patients with mild neurocognitive disorder due to
Alzheimer's disease.

ScVMNCD patients with mild subcortical vascular neurocognitive

n: number of patients.

(a) One-way ANOVA.

(b) [chi square] test.

Nonparametric ANOVA for multiple comparisons if not otherwise

Table 2: Plasma BDNF levels (mean [+ or -] SD) in comparison groups
at baseline, pg/mL.

                 Comparison groups

WCI (n = 16)                      MNCD-AD                ScVMNCD
                                 (n = 21)                (n = 22)

31581.5 [+ or -] 8092.2   19950.7 [+ or -] 9678.8    25939.6 [+ or -]
                  p value

WCI versus   WCI versus   MNCD-AD versus
MNCD-AD       ScVMNCD        ScVMNCD

0.0025          0.21           0.13

n: number of patients.

p according to post hoc Scheffe test.

TABLE 3: Spearman's/Pearson's correlations between clinical,
demographic, and cognitive variables and plasma BDNF concentrations
in MNCD-AD and ScVMNCD groups.

Clinical variables                      Spearman's/Pearson's
                                       correlation coefficient

                                    MNCD-AD group   ScVMNCD group

Age                                     -0.09           -0.28
MMSE, total score                      0.49 *           0.18
Delayed recall, TIME test              0.72 *          0.41 *
Clock drawing test, part I, score       0.21            0.21
Verbal fluency, number of words         0.32            0.09
Kinetic apraxia, Luria's tests,         -0.16          -0.35 *
Visuospatial apraxia, Luria's          -0.34 *         -0.33 *
  tests, score
NPI, total score                        -0.22           -0.12
NPI, the severity of depression,        -0.17           -0.22
BADL, score                            -0.58 *          -0.25

* p < 0.05.

TABLE 4: The dynamics of plasma BDNF concentrations and main
clinical characteristics in MNCD patients taking escitalopram.

Variables                      MNCD-AD group (n = 10)

                                  Before treatment

Plasma BDNF concentrations,   20660.4 [+ or -] 12774.6
MMSE, score                         26.5 (26-27)
Delayed recall, TIME test,            2 (1-2)
  number of words (0-5)
Verbal fluency, number of           19.5 (15-25)
  words during 3 min.
Clock drawing test, part I,           9(8-10)
  score (0-10)
Kinetic apraxia, Luria's              0 (0-1)
  tests, score (0-3)
NPI, total score (0-144)            11.5 (9-14)
POMA, score (0-28)                   25 (24-26)
BADL, score (0-60)                    1 (1-1)

Variables                             MNCD-AD group (n = 10)

                                  After treatment         P

Plasma BDNF concentrations,   26356.0 [+ or -] 8309.1   0.15 *
MMSE, score                         28 (28-29)          0.005
Delayed recall, TIME test,           3.5 (3-5)           0.02
  number of words (0-5)
Verbal fluency, number of          17.5 (12-24)          0.62
  words during 3 min.
Clock drawing test, part I,           9(8-10)            0.55
  score (0-10)
Kinetic apraxia, Luria's              0(0-0)             0.22
  tests, score (0-3)
NPI, total score (0-144)             6.5 (6-8)          0.0078
POMA, score (0-28)                  25 (24-26)           1.0
BADL, score (0-60)                    1 (0-1)            0.11

Variables                      ScVMNCD group (n = 10)

                                  Before treatment

Plasma BDNF concentrations,   26652.4 [+ or -] 12435.7
MMSE, score                          25 (24-26)
Delayed recall, TIME test,           2.5 (2-3)
  number of words (0-5)
Verbal fluency, number of            13 (10-17)
  words during 3 min.
Clock drawing test, part I,            7(7-8)
  score (0-10)
Kinetic apraxia, Luria's              2 (1-3)
  tests, score (0-3)
NPI, total score (0-144)            16.5 (9-18)
POMA, score (0-28)                  15.5 (13-21)
BADL, score (0-60)                    2 (1-2)

Variables                              ScVMNCD group (n = 10)

                                  After treatment          P

Plasma BDNF concentrations,   30066.0 [+ or -] 10796.4   0.27 *
MMSE, score                          27 (26-28)          0.005
Delayed recall, TIME test,            3 (1-4)             0.83
  number of words (0-5)
Verbal fluency, number of            17 (10-19)           0.20
  words during 3 min.
Clock drawing test, part I,          7.5 (6-9)            0.23
  score (0-10)
Kinetic apraxia, Luria's              2 (1-2)             0.48
  tests, score (0-3)
NPI, total score (0-144)            10.5 (7-13)          0.011
POMA, score (0-28)                   16 (15-21)          0.043
BADL, score (0-60)                    2 (1-2)             0.98

Data are presented as mean [+ or -] standard deviation/median
(lower/upper quartile).

n: number of patients.

p, respectively: * according to t-test; by Wilcoxon criterion if not
otherwise specified.
COPYRIGHT 2016 Hindawi Limited
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2016 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Title Annotation:Research Article
Author:Levada, Oleg A.; Cherednichenko, Nataliya V.; Trailin, Andriy V.; Troyan, Alexandra S.
Publication:Disease Markers
Article Type:Report
Date:Jan 1, 2016
Previous Article:Plasma cathepsin S and cathepsin S/cystatin C ratios are potential biomarkers for COPD.
Next Article:Network biomarkers of bladder cancer based on a genome-wide genetic and epigenetic network derived from next-generation sequencing data.

Terms of use | Privacy policy | Copyright © 2020 Farlex, Inc. | Feedback | For webmasters