Open Access

Efficacy of alogliptin combined with motor imagery under hyperbaric oxygen in diabetic nephropathy with silent cerebral infarction

  • Authors:
    • Danyan Chen
    • Xiaolong Huang
    • Hua Gan
    • Xiaogang Du
    • Song Lu
    • Rongxi Huang
    • Ke Liu
    • Binghan Zhang
  • View Affiliations

  • Published online on: September 14, 2017     https://doi.org/10.3892/br.2017.983
  • Pages: 407-415
  • Copyright: © Chen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

In the present study, we evaluated the curative effect of dipeptidyl peptidase-IV (DPP-IV) inhibitor alogliptin combined with motor imagery under hyperbaric oxygen in diabetic nephropathy (DN) with silent cerebral infarction (SCI). Two-hundred newly diagnosed DN patients with and without SCI were included. The SCI patients were divided into two treatment groups: Alogliptin (A group, n=50) and alogliptin combined with motor imagery under hyperbaric oxygen (B group, n=50). The degrees of neurocognitive dysfunction were evaluated at baseline and after 6 months of treatment. Thromboelastograms (TEGs) mapping were conducted. Serum glycoprotein VI (GPVI) mRNA expression and urine 11-DH-TXB2 levels were determined. Compared to group A patients, the severity of neurofunctional defects, GPVI mRNA expression and 11-DH-TXB2 levels were significantly lower in group B (P<0.05), while comprehensive, MoCA scores were higher in group B. The MoCA subscores of visuospatial/executive function, attention and concentration were significantly higher compared to group A (P<0.05). The sub-scores of computation, abstract thinking, language competence, memory and orientation were also higher in group B but the differences were not significant (P>0.05). TEG indexes were improved in both groups after treatment as manifested by increased R and K values, but there was significant improvement in group B. Intra-group comparisons revealed a time‑dependent effect of treatment. In conclusion, the treatment of alogliptin combined with motor imagery under hyperbaric oxygen can better promote thrombolysis absorption, restore brain damage and improve neurocognitive function in DN with silent cerebral infarction.

Introduction

Approximately 5.23–11.04% of newly diagnosed type 2 diabetes mellitus cases are complicated by cerebrovascular disorders (1). Currently, CI is divided into symptomatic and silent cerebral infarction (SCI) according to clinical manifestations. Clinically, CI often occurs after transient ischemic attack (TIA) and shows no obvious symptoms or signs due to the small territory of infarction or involvement outside areas associated with easily observable functional manifestations. Thus, SCI is often misdiagnosed or missed in routine examination. However, SCI may be detected by brain computed tomography (CT) or magnetic resonance imaging (MRI) (2,3). Recurrent SCI may cause cognitive decline, symptomatic cerebral infarction, vascular dementia or Parkinsonism, affecting patient quality of life and increasing family and social burdens (4).

The inhibition of dipeptidyl peptidase-IV (DPP-IV) and increase of the activity of endogenous glucagon-like peptide-1 are new therapeutic targets of diabetes mellitus. DPP-IV inhibitors have biological effects for reducing the incidence of ischemic cerebral infarction and improving the cognitive function, in addition to a hypoglycemic effect (5,6). However, there is no study on the role of DPP-IV inhibitor alogliptin in the treatment of diabetes nephropathy (DN) complicated with silent cerebral infarction. Hyperbaric oxygen is one of the effective methods to treat cerebral infarction (7). However, due to the special therapeutic environment, patient compliance is poor and the curative effect is easily affected. It was reported that stroke patients who received motor imagery training reached a certain degree of athletic and cognitive rehabilitation (8).

Thus, the present study is focused on whether alogliptin in combination with motor imagery in a hyperbaric oxygen chamber can effectively reduce blood glucose, overcome the aforementioned shortcomings and improve the function impairment of DN patients complicated with SCI.

Materials and methods

Patients

We enrolled 200 patients who where newly diagnosed with diabetic nephropathy (DN) from the Chongqing General Hospital and the First Affiliated Hospital of Chongqing Medical University.

DN was diagnosed clinically if one or more of the following criteria were fulfilled: i) Histological diagnosis by renal biopsy; ii) presence of diabetic retinopathy; and iii) history of type 2 diabetes mellitus at least 3 years before enrollment. All participants had a glomerular filtration rate (eGFR) of >30 ml/min/1.73 m2. The patients were divided into the SCI group and without SCI (NSCI) group according to radiological data and clinical features. The SCI group patients were divided into two treatment groups: Alogliptin (group A, n=50) and alogliptin combined with motor imagery under hyperbaric oxygen (group B, n=50). Diagnostic criteria of SCI (9,10) were: i) No neurological symptom or sign; ii) low signals on MRI T1WI and high signals on T2WI, lesion diameter of >3 mm and no high signal on MRI DWI. Inclusion criteria for the SCI group were: i) Daily life and social activities were not obviously affected; ii) SCI lesion was confirmed by MRI and no encephalatrophy was noted; iii) the patients were right-handed.

Exclusion criteria were: i) Patients with a definite history of cerebral infarction and dementia; ii) patients with a definite history of other central nervous system diseases such as infection and demyelinating disease; iii) patients with severe physical diseases; iv) patients with a definite history of mental and psychological diseases such as schizophrenia and major depression; v) alcohol or drug addicts; vi) patients unable to complete the scale of cognitive function due to severe diseases or physical disabilities; vii) patients with allergic constitution; viii) patients with active bleeding or bleeding tendency; ix) patients on non-steroid anti-inflammatory drugs, glucocorticoids, thyroid hormone tablets and other drugs; and x) patients with liver disease. NSCI patients were those without cerebral infarction or patients with symptomatic cerebral infarction. After the screening period, patients received DPP-IV inhibitor alogliptin (25 mg once daily; Takeda Pharmaceutical Company Ltd., Japan), in addition to continuing their anticoagulation background treatment. The patients in group B underwent motor imagery in the hyperbaric oxygen chamber after taking alogliptin. Informed consent was obtained from all the patients. The protocol was registered with the Chinese Clinical Trial Registry (ChiCTR-INR-17012590). The hospital Ethics Committee had reviewed our study.

Treatment of motor imagery in the hyperbaric oxygen chamber

A hyperbaric oxygen chamber (Haux-Life-Support GmbH, Baden-Wurttemberg, Germany) for 34 patients was used. At the pressure of 0.2 MPa, the patients inhaled pure oxygen using a mask for 30 min and rested for 10 min between two episodes of oxygen inhalation. The pressure was increased and pressured at a uniform speed for 15 min. The hyperbaric oxygen therapy was performed once a day and 10 days were a course of treatment. There was an interval of 5 days between each course of treatment. The patients were required to perform intermittent motor imagery (11,12) during the hyperbaric oxygen therapy. After the motor imagery, the patients were asked to open their eyes, move their extremities and joints following the rhythms of music and carry out alternative muscular tension-relaxation activities for 5–10 min.

Neurocognitive dysfunction degree and clinical curative effect evaluation

Two physicians carried out the evaluation according to the National Institutes of Health Stroke Scale (NIHSS) (13). Scores of 0–1 were considered normal or near-normal range and 1–4 were considered mild. Scores of 5–15 were considered moderate; 15–20 were considered moderate-severe; and 21–42 were severe. Evaluation criteria of the clinical curative effect were: Basic cure (decrease of scores >90%), significant change (decrease of scores 46–89%), change (decrease of scores 18–45%), no change (decrease of scores ≤17%) and deterioration (scores increase). When the scores were reduced by >18%, it indicated that the treatment was effective. The total effective rate was calculated as: (cases of basic cure + cases of significant change + cases of change)/total cases × 100%.

Montreal cognitive assessment (MoCA) (14) was performed from eight aspects of visuospatial/executive ability, attention, memory, language, abstraction, naming, calculation and orientation. The scale was completed within 10 min and the total scores were 30. Scores of >26 were considered normal cognition. In case of the education years being ≤12 year, the scores were added to be 1.

Thromboelastograms (TEGs) mapping

Blood samples were collected from the antecubital vein and tested with Thrombelastograph Analyzer TEG-500 (15). The tested parameters included: i) Reaction time (R), which indicated the time from the test start to the formation of the clot or fibrin. Normal R values ranged between 5 and 10 min; ii) clotting time (K), considered from the clotting start to the time when TEG amplitude reached 20 mm. Normal K values ranged between 1 and 3 min; iii) α-angle, which was the angle between the tangent line and the horizontal line of the maximum curve when TEG reached the maximum curve from clot formation, representing the speed of clot formation and the speed of hemocoagulase formation. Normal α-angle was between 53 and 72°; iv) maximum amplitude (MA), which was the maximum solidness of thrombus, reflecting the absolute clot intensity. Normal values were between 50 and 70 mm; v) clot strength (G): G value was a measure of clot strength or clot firmness, and was calculated based on the amplitude value until the MA was reached. Normal G values were between 4.6 and 11 kDa; vi) coagulation index (CI): −3< normal <+3; index <-3 indicated low coagulation; index >-3 indicated high coagulation. If two or more of the following conditions were met, it was diagnosed as hypercoagulable state: R and K were shortened and α-angle and/or MA were increased.

Reverse transcriptase-quantitative polymerase chain reaction (RT-qRCR) detection glycoprotein VI (GPVI) mRNA expression

Total RNA was extracted with TRIzol (Takara Bio, Inc., Otsu, Japan) according to the manufacturer's instructions. For RT-qPCR, cDNA was synthesized using the PrimeScript RT-PCR kit (Takara Bio, Inc.). The primers (Shanghai Biotechnology, Shanghai, China) used to detect human GPVI and β-actin (internal control) were: GPVI forward, 5′-GCCAAGCTATTGCGACATGA-3′ and reverse, 5′-AAAAGAATCTCAATGTCCGAGACTTT-3′; β-actin forward, 5′-GGAGCGAGATCCCTCCAAAAT-3′ and reverse, 5′-GGCTGTTGTCATACTTCTCATGG-3′. The cDNAs were amplified using the following thermal cycle: Denaturation at 95°C for 1 min, followed by 35 cycles of denaturation at 95°C for 30 sec, annealing for 1 min at 58°C, polymerization for 1 min at 70°C, and brief detection at 70°C. The signal was expressed relative to β-actin (relative ratio = average copy number of target gene in the sample/average copy number of β-actin).

Enzyme-linked immunosorbent assay (ELISA) detection levels of 11-DH-TXB2

The production of 11-DH-TXB2 in the urine after 24 h (overnight) of treatment was quantified with ELISA detection kits (Quantikine; R&D Systems, Abingdon, UK) according to the manufacturer's instructions. Optical densities were measured at 450 nm. Each assay was performed in triplicate.

Statistical analysis

Data were analyzed with SPSS v23.0 statistical software (SPSS, Inc., Chicago, IL, USA). Values are expressed as mean ± standard deviation throughout the text and figures, and the enumeration data were expressed by Chi-square test. Comparison among groups was conducted by t-test. P<0.05 was considered to indicate a statistically significant difference.

Results

Basic clinical characteristics of patients

Among DN patients, there was no significant difference in age, sex and risk factors (history of smoking, atrial fibrillation, hyperlipidemia, hypertension, duration of diabetes and HbA1c) between the SCI and NSCI groups (P>0.05). However, there was significant difference in homeostasis model assessment insulin resistance (HOMA-IR), homeostasis model assessment for β cell function (HOMA-β) between the SCI and NSCI groups (P<0.05). IMT, fibrinogen (FIB), and body fat mass of the NSCI group were lower than those of the SCI group with significant inter-group difference (P<0.05). Ankle brachial index (ABI) of the NSCI group was higher than that of SCI group, also with significant inter-group difference (P<0.05) (Table I).

Table I.

Basic clinical and laboratory characteristics of diabetic nephropathy with and without SCI.

Table I.

Basic clinical and laboratory characteristics of diabetic nephropathy with and without SCI.

CharacteristicsNSCI group (n=100)SCI group (n=100)P-value
Age (years)61±562±40.793
Sex (male:female)51:4950:500.886
Smoking14 (14%)15 (15%)0.852
Hyperlipidemia8 (8%)10 (10%)0.847
Atrial fibrillation5 (5%)7 (7%)0.765
Systolic pressure (mmHg)131.66±4.52133.00±5.040.694
Diastolic pressure (mmHg)79.92±4.6981.20±3.880.703
Duration of diabetes (year)3.70±0.803.50±1.100.778
Duration of diabetic nephropathy (year)0.50±0.10 1.10±0.00a0.049
Intima-media thickness (mm)1.18±0.06 1.41±0.08a0.040
HOMA-IR3.85±0.72 5.86±0.51a0.045
HOMA-β36.50±2.42 28.60±5.36a0.043
Glycosylated hemoglobin A1c (%)6.81±0.257.09±0.050.848
Fibrinogen3.32±0.38 4.66±0.35a0.048
ABI0.91±0.06 0.55±0.07a0.049
Body fat mass (%)26.10±4.09 31.80±4.10a0.032

{ label (or @symbol) needed for fn[@id='tfn1-br-0-0-983'] } Values are given as mean ± standard deviation or number.

a P<0.05, SCI vs. NSCI. HOMA-IR = fasting glucose × fasting insulin/22.5; HOMA-β = 20 × fasting insulin/(fasting glucose - 3.5); ABI = ankle vs. systolic pressure/brachial arterial systolic pressure; body fat mass (male) = 1.2 × BMI + 0.23 × age - 16.2; body fat mass (female) = 1.2 × BMI + 0.23 × age - 15.4; BMI = weight/height2. SCI, silent cerebral infarction; HOMA-IR, homeostasis model assessment insulin resistance; HOMA-β, homeostasis model assessment for β-cell function; ABI, ankle brachial index.

MRI features and clinical manifestation

The infarction foci of DN patients with SCI presented as different sizes and shapes. Among SCI patients, 30 patients had lacunar infarction (diameter ≤20 mm), 22 had a single lesion and 28 had multiple lesions. The infarction foci of 28 patients were identified in the basal ganglia region and others were evident in the internal capsule, ventricle, thalamus, left temporal lobe, radial crown, bridge brain and insular lobe. Generally, SCI patients had no focal neurological signs. Non-specific signs included headache, dizziness, fatigue, impaired memory, slow response and subjective feeling and limb numbness (Fig. 1).

Neurocognitive dysfunction degree score and clinical curative effect

Compared with the NSCI group, the neurological deficit scores of the SCI group were increased (4.43±1.12 vs. 8.48±3.69, P<0.05). Before treatment, the comparison between groups A and B showed no significant difference in neurological deficit scores (8.47±3.72 vs. 8.49±3.68, P>0.05). Six months after treatment, the neurological deficit scores of group B were lower than those of group A, with a significant difference (6.88±2.20 vs. 4.58±2.17, P<0.05). The inter-group compared before and after treatment showed that the neurological deficit was improved (P<0.05). As shown in Table II, the curative effect of group B was better than that of group A (P<0.05).

Table II.

Clinical curative effect of SCI patients between the treatment groups.

Table II.

Clinical curative effect of SCI patients between the treatment groups.

GroupsnBasic cureSignificant changeChangeNo changeDeteriorationTotal effective rate (%)
A50418818260
B5092669082

[i] SCI, silent cerebral infarction.

MoCA score

Compared with the NSCI group, the MoCA scores of the SCI group were decreased (P<0.05). As shown in Table III, before treatment, the comparison between groups A and B showed no significant difference in MoCA scores (P>0.05). MoCA scores of group B were higher than those of group A after a 6-month treatment. The subscores of visuospatial/executive function, attention and concentration and comprehensive score were significantly increased (P<0.05), while the subscores of computation, abstract thinking, language competence, memory, orientation and memory were also increased, albeit the difference was not statistically significant (P>0.05) (Fig. 2).

Table III.

Comparison of Montreal cognitive assessment score between treatment groups of diabetic nephropathy with SCI.

Table III.

Comparison of Montreal cognitive assessment score between treatment groups of diabetic nephropathy with SCI.

GroupsTreatment Visuospatial/executive abilityNamingAttentionCalculationLanguageAbstractionMemoryOrientationComprehensive score
A (n=50)Pretherapy 3.20±0.26 2.21±0.19 3.15±0.27 2.12±0.23 1.29±0.10 1.11±0.06 3.11±0.36 4.26±0.17 21.80±0.69
Post-treatment 4.20±0.21b 2.31±0.15 4.35±0.22b 2.28±0.11 1.41±0.13 1.22±0.11 3.27±0.22 4.40±0.15 24.06±0.72b
B (n=50)Pretherapy 3.21±0.40 2.20±0.18 3.13±0.32 2.13±0.28 1.28±0.15 1.10±0.05 3.10±0.35 4.26±0.15 21.78±0.92
Post-treatment 4.48±0.20a,b 2.35±0.16 4.43±0.28a,b 2.34±0.10 1.46±0.16 1.24±0.13 3.38±0.18 4.45±0.12 25.02±0.66a,b

{ label (or @symbol) needed for fn[@id='tfn4-br-0-0-983'] } Values are given as mean ± standard deviation or number.

a P<0.05, group A vs. group B

b P<0.05, pretherapy vs. post-treatment. SCI, silent cerebral infarction.

TEGs

As shown in Fig. 3, there was no statistical significance of single and multiple lesions in SCI patients (P>0.05). Before treatment, the decreased R and K values, the increased MA value, α-angle and G value as well as the prolonged CI indicated DN patients with silent cerebral infarction were in an hypercoagulable state (Table IV). Compared with those before treatment, the TEG indexes of both groups after treatment were improved, manifesting as increased R and K values, decreased MA value, α-angle and G, and shortened CI. The comparison between groups A and B after treatment showed significant difference (P<0.05) (Table V).

Table IV.

Comparison of TEG parameters of single lesion and multiple lesions in SCI patients.

Table IV.

Comparison of TEG parameters of single lesion and multiple lesions in SCI patients.

ParametersR (min)K (min)α-angle (°)MA (mm)G (kDa)CI
Single lesion 5.55±1.53 1.52±0.82 68.92±11.0 72.07±5.71 11.60±1.74 2.20±0.90
Multiple lesions 5.83±1.39 1.57±0.68 69.89±9.63 73.35±5.32 11.43±2.01 2.04±0.96

[i] Values are given as mean ± standard deviation or number. TEG, thromboelastogram; SCI, silent cerebral infarction; R, reaction time; K, clotting time; MA, maximum amplitude; G, clot strength; CI, coagulation index.

Table V.

Comparison of TEG parameters between treatment groups of diabetic nephropathy with SCI.

Table V.

Comparison of TEG parameters between treatment groups of diabetic nephropathy with SCI.

GroupsTreatmentR (min)K (min)α-angle (°)MA (mm)G (kDa)CI
A (n=50)Pretherapy 4.04±0.82 1.20±0.19 72.15±8.91 75.06±5.46 12.30±1.42 2.93±0.52
Post-treatment 6.20±0.84b 1.96±0.23b 63.22±9.04b 70.40±5.35b 10.12±1.38b 1.85±0.32b
B (n=50)Pretherapy 4.05±0.86 1.21±0.20 72.00±9.00 75.00±5.62 11.93±1.67 2.94±0.50
Post-treatment 6.78±0.32a,b 2.28±0.19a,b 60.38±9.21a,b 66.90±5.93a,b 8.62±1.62a,b 1.56±0.39a,b

{ label (or @symbol) needed for fn[@id='tfn8-br-0-0-983'] } Values are given as mean ± standard deviation or number.

a P<0.05, group A vs. group B

b P<0.05, pretherapy vs. post-treatment. TEG, thromboelastogram; SCI, silent cerebral infarction; R, reaction time; K, clotting time; MA, maximum amplitude; G, clot strength; CI, coagulation index.

mRNA expression of GPVI and level of 11-DH-TXB2

Compared with the NSCI group, GPVI expression and 11-DH-TXB2 level of the SCI group were increased (GPVI: 17.50±4.50 vs. 20.86±4.62, P<0.05; 11-DH-TXB2: 43.21±6.38 vs. 58.39±7.22, P<0.05). Before treatment, the comparison between groups A and B showed no significant difference in GPVI expression and 11-DH-TXB2 levels (GPVI: 20.91±4.83 vs. 20.80±4.66, P>0.05; 11-DH-TXB2: 58.55±7.15 vs. 58.28±7.34, P>0.05). Six months after treatment, the GPVI expression and 11-DH-TXB2 level of group B were lower than those of group A, with a significant difference (GPVI: 18.11±4.26 vs. 14.81±4.08, P<0.05; 11-DH-TXB2: 46.80±6.69 vs. 39.30±6.25, P<0.05). As shown in the inter-group comparison before and after treatment, the difference of GPVI expression and 11-DH-TXB2 level was statistically significant (P<0.05) (Fig. 4).

Discussion

DN is one of the independent risk factors for cerebral infarction. The clinical manifestations of cerebral infarction perform as SCI and recurrent transient ischemic attack. SCI is short for silent cerebral infarction and it is known as occult cerebral infarction or subclinical stroke (16,17). It is a particular type of cerebral infarction and the most common SCI is lacunar infarction, which has a small range of cerebral infarction or involved cerebral tissues far from the functional area (18,19). The abovementioned study results are consistent with those obtained in the present study.

The prevention and treatment of DN complicated with SCI has become a research hotspot. Incretin drugs are new hypoglycemic drugs, mainly including glucagon-like peptide 1 (GLP1) receptor agonist and DPP-IV inhibitors. DPP-IV inhibitors have other biological effects besides a hypoglycemic effect. The combination of incretin drugs and GLP-1R may activate adenylate cyclase, upregulate cyclic adenosine monophosphate levels, trigger Ca2+ inflow, enhance synaptic plasticity, increase neurotransmitter release and improve learning, memory and cognitive function (20,21). Hyperbaric oxygen therapy may increase the oxygen saturation of patients, reduce intracranial pressure, relieve inflammatory reaction and edema degree, decrease infarction size (22), use ‘reverse steal phenomenon’ to increase blood and oxygen supply in the focal area, increase the mitochondrial membrane permeability of brain cells, reduce neutrophil apoptosis and promote neural functional recovery and regeneration (23). Thus, it is an effective means to treat cerebral infarction. However, patients may generate fear, anxiety irritability and other negative emotions during the treatment due to the closed environment. Therefore, we utilized the DPP-IV inhibitor alogliptin in combination with motor imagery in a hyperbaric oxygen chamber to treat DN patients with SCI. Motor imagery may be used to reinforce and improve exercise plans, enhance sensory information input, promote active latent pathways and dormant synapse, accelerate reperfusion of ischemic penumbra and improve cerebral blood flow by repeatedly simulating and rehearsing exercises in heart without obvious body movement according to the exercise plans stored in a certain active brain area in order to repair the neurologic impairment to a certain degree (24,25).

The Montreal cognitive assessment (MoCA) is more sensitive in testing mild vascular cognitive impairment than MMSE (2628). In the present study, the neurocognitive dysfunction of SCI patients was more severe than that of NSCI patients. The naming and language functioning capabilities of SCI patients were lower than those of NSCI patients, but the difference had no statistical significance. It indicates that it is rare for SCI patients to develop language dysfunction at an early stage. The neurologic dysfunction of patients in group B was significantly lower than those of patients in group A, while MoCA scores and clinical effectiveness were higher than group A. In MoCA scale, the combined treatment with alogliptin and motor imagery in hyperbaric oxygen was excellent regarding the function of visuospatial/executive, attention and concentration, which has much better improvement on neurocognitive function.

Previous findings have show that the platelet adhesion, aggregation and release of diabetic patients are enhanced, thus the risk of thrombosis is increased (29). Moreover, the platelets significantly change before and after the onset of cerebral infarction. Thus, the abnormality of platelet function may induce cerebral infarction. The changes in platelet count and platelet volume may be important factors for inducing cerebral infarction. The more severe the conditions and the larger the infarction area, the more obvious the change in platelet parameters (30,31). In our preliminary study, in comparison with the NSCI group, the platelet count of SCI group decreased while the platelet distribution width increased (32). Poor blood glucose control may lead to the increase of HbA1c, histanoxia, the glycation of plasma, low-density lipoprotein-cholesterol, fibrinogen and platelets, the increase of blood glucose viscosity and free radical generation and the acceleration of atherosclerosis, which may induce cerebral infarction (33).

We also studied the evaluation of platelet function in patients by TEG and the secretion of platelet-associated cytokines. The mechanism of TEG occurs throughout the whole coagulation process, from coagulation to fibrinolysis. It is mainly applied to detect blood coagulation disorder and can comprehensively reflect the physical features of blood clot (including the rate of blood clot formation as well as the strength and stability of blood clot). Thus, it is an effective method to test coagulation changes of patients, and is characterized by small blood use, simple operation, short testing time and permanent preservation. Thus, it can be used to guide treatment and judge curative effect in clinic. In our study, SCI patients experienced a hypercoagulable state, and the combined treatment with alogliptin improved this hypercoagulable state.

GPVI is a platelet collagen receptor, that plays a key role in mediating signal transduction in platelets after collagen adhesion, activating GPIa-IIa and GPIIb-IIIa, promoting activity expression as well as accelerating platelet adhesiveness and thrombosis. GPVI levels of patients with acute coronary syndrome were higher than those of patients with stable angina pectoris (34,35). The monitoring of GPVI levels in platelets may predict the risk for thrombosis (36,37). 11-DH-TXB2 is mainly from thromboxane A generated by platelets and is not formed in vitro. The content of 11-DH-TXB2 is stable in urine. Urine 11-DH-TXB2 is the best index for reflecting the release level of TXA2 in vivo, which may indirectly reflect the levels of platelet aggregation and activation (38). We found that the combined treatment of alogliptin and motor imagery in hyperbaric oxygen chamber can better promote thrombolysis. The GPVI expression and 11-DH-TXB2 level of combined treatment group B were significantly lower than those of group A.

In conclusion, the condition assessment and management of SCI patients greatly affects prognosis. SCI patients should have early prevention and early diagnosis. In particaular, diabetic patients with smoking, hyperlipidemia, hypertension, atrial fibrillation and carotid artery stenosis should regularly be followed-up irrespective of whether the desease is complicated with SCI. The treatment of DPP-IV inhibitor alogliptin combined with motor imagery in hyperbaric oxygen can better promote thrombolysis absorption, restore brain damage and improve neurocognitive dysfunction in DN patients with SCI. However, our study also has disadvantages. Due to small sample size, the curative effect on SCI patients at different infraction sites is not compared. The aforementioned disadvantages will be deeply discussed in subsequent studies in order to provide more scientific theoretical basis for the prevention and treatment of silent cerebral infraction in clinic.

Acknowledgements

We thank Mrs. Weixue Tang for technical assistance. She is work in the departments of Pathophysiology, Basic Medical College, Chongqing Medical University.

References

1 

Dedov II and Shestakova MV: Cerebral vascular lesions in diabetes mellitus: Solved and unresolved questions. Zh Nevrol Psikhiatr Im S S Korsakova. 115:79–82. 2015.(In Russian). View Article : Google Scholar : PubMed/NCBI

2 

Yi C, Liu W and Zhang Y: Correlation between metabolic syndrome and silent cerebral infarction: A cross-sectional study. J Third Mil Med Univ. 33:408–410. 2011.

3 

Hashimoto M, Takashima Y, Uchino A, Yuzuriha T and Yao H: Dual task walking reveals cognitive dysfunction in community-dwelling elderly subjects: The Sefuri brain MRI study. J Stroke Cerebrovasc Dis. 23:1770–1775. 2014. View Article : Google Scholar : PubMed/NCBI

4 

Jacquin A, Binquet C, Rouaud O, Graule-Petot A, Daubail B, Osseby GV, Bonithon-Kopp C, Giroud M and Béjot Y: Post-stroke cognitive impairment: High prevalence and determining factors in a cohort of mild stroke. J Alzheimers Dis. 40:1029–1038. 2014.PubMed/NCBI

5 

Ma M, Hasegawa Y, Koibuchi N, Toyama K, Uekawa K, Nakagawa T, Lin B and Kim-Mitsuyama S: DPP-4 inhibition with linagliptin ameliorates cognitive impairment and brain atrophy induced by transient cerebral ischemia in type 2 diabetic mice. Cardiovasc Diabetol. 14:542015. View Article : Google Scholar : PubMed/NCBI

6 

Chan SY, Ou SM, Chen YT and Shih CJ: Effects of DPP-4 inhibitors on cardiovascular outcomes in patients with type 2 diabetes and end-stage renal disease. Int J Cardiol. 218:170–175. 2016. View Article : Google Scholar : PubMed/NCBI

7 

Chen CH, Chen SY, Wang V, Chen CC, Wang KC, Chen CH, Liu YC, Lu KC, Yip PK, Ma WY, et al: Effects of repetitive hyperbaric oxygen treatment in patients with acute cerebral infarction: A pilot study. ScientificWorldJournal. 2012:6947032012.doi: 10.1100/2012/694703. View Article : Google Scholar : PubMed/NCBI

8 

Yan J, Guo X, Jin Z, Sun J, Shen L and Tong S: Cognitive alterations in motor imagery process after left hemispheric ischemic stroke. PLoS One. 7:e429222012. View Article : Google Scholar : PubMed/NCBI

9 

Zhu YC, Dufouil C, Tzourio C and Chabriat H: Silent brain infarcts: A review of MRI diagnostic criteria. Stroke. 42:1140–1145. 2011. View Article : Google Scholar : PubMed/NCBI

10 

Auriel E, Westover MB, Bianchi MT, Reijmer Y, Martinez-Ramirez S, Ni J, Van Etten E, Frosch MP, Fotiadis P, Schwab K, et al: Estimating total cerebral microinfarct burden from diffusion-weighted imaging. Stroke. 46:2129–2135. 2015. View Article : Google Scholar : PubMed/NCBI

11 

Page SJ: Mental practice: A promising restorative technique in stroke rehabilitation. Top Stroke Rehabil. 8:54–63. 2001. View Article : Google Scholar : PubMed/NCBI

12 

Petit LS, Pegna AJ, Mayer E and Hauert CA: Representation of anatomical constraints in motor imagery: Mental rotation of a body segment. Brain Cogn. 51:95–101. 2003. View Article : Google Scholar : PubMed/NCBI

13 

Bushnell CD, Johnston DC and Goldstein LB: Retrospective assessment of initial stroke severity: Comparison of the NIH Stroke Scale and the Canadian Neurological Scale. Stroke. 32:656–660. 2001. View Article : Google Scholar : PubMed/NCBI

14 

Schmidt WP, Roesler A, Kretzschmar K, Ladwig KH, Junker R and Berger K: Functional and cognitive consequences of silent stroke discovered using brain magnetic resonance imaging in an elderly population. J Am Geriatr Soc. 52:1045–1050. 2004. View Article : Google Scholar : PubMed/NCBI

15 

Yatsu FM and Shaltoni HM: Implications of silent strokes. Curr Atheroscler Rep. 6:307–313. 2004. View Article : Google Scholar : PubMed/NCBI

16 

Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL and Chertkow H: The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 53:695–699. 2005. View Article : Google Scholar : PubMed/NCBI

17 

Akay OM, Ustuner Z, Canturk Z, Mutlu FS and Gulbas Z: Laboratory investigation of hypercoagulability in cancer patients using rotation thrombelastography. Med Oncol. 26:358–364. 2009. View Article : Google Scholar : PubMed/NCBI

18 

Ohnishi J and Kudo Y: Clinical aspects of silent cerebral infarction - MRI findings and its distribution. Rinsho Shinkeigaku. 31:610–615. 1991.(In Japanese). PubMed/NCBI

19 

Shintani S, Shiigai T and Arinami T: Silent lacunar infarction on magnetic resonance imaging (MRI): Risk factors. J Neurol Sci. 160:82–86. 1998. View Article : Google Scholar : PubMed/NCBI

20 

Mabuchi T, Kitagawa K, Kuwabara K, Takasawa K, Ohtsuki T, Xia Z, Storm D, Yanagihara T, Hori M and Matsumoto M: Phosphorylation of cAMP response element-binding protein in hippocampal neurons as a protective response after exposure to glutamate in vitro and ischemia in vivo. J Neurosci. 21:9204–9213. 2001.PubMed/NCBI

21 

Gault VA, Lennox R and Flatt PR: Sitagliptin, a dipeptidyl peptidase-4 inhibitor, improves recognition memory, oxidative stress and hippocampal neurogenesis and upregulates key genes involved in cognitive decline. Diabetes Obes Metab. 17:403–413. 2015. View Article : Google Scholar : PubMed/NCBI

22 

James PB: Hyperbaric oxygenation in fluid microembolism. Neurol Res. 29:156–161. 2007. View Article : Google Scholar : PubMed/NCBI

23 

Nazario J and Kuffler DP: Hyperbaric oxygen therapy and promoting neurological recovery following nerve trauma. Undersea Hyperb Med. 38:345–366. 2011.PubMed/NCBI

24 

Gaggioli A, Meneghini A, Morganti F, Alcaniz M and Riva G: A strategy for computer-assisted mental practice in stroke rehabilitation. Neurorehabil Neural Repair. 20:503–507. 2006. View Article : Google Scholar : PubMed/NCBI

25 

Walbruch B and Kalliainen L: The optimization of peripheral nerve recovery using cortical reorganization techniques: A retrospective study of wrist level nerve repairs. J Hand Ther. 28:341–345. 2015. View Article : Google Scholar : PubMed/NCBI

26 

Pendlebury ST, Cuthbertson FC, Welch SJ, Mehta Z and Rothwell PM: Underestimation of cognitive impairment by Mini-Mental State Examination versus the Montreal Cognitive Assessment in patients with transient ischemic attack and stroke: A population-based study. Stroke. 41:1290–1293. 2010. View Article : Google Scholar : PubMed/NCBI

27 

Tsai JC, Chen CW, Chu H, Yang HL, Chung MH, Liao YM and Chou KR: Comparing the sensitivity, specificity, and predictive values of the Montreal Cognitive Assessment and Mini-Mental State Examination when screening people for mild cognitive impairment and dementia in Chinese population. Arch Psychiatr Nurs. 30:486–491. 2016. View Article : Google Scholar : PubMed/NCBI

28 

Lees RA, Hendry Ba K, Broomfield N, Stott D, Larner AJ and Quinn TJ: Cognitive assessment in stroke: Feasibility and test properties using differing approaches to scoring of incomplete items. Int J Geriatr Psychiatry. Aug 16–2016.(Epub ahead of print). PubMed/NCBI

29 

Yamasaki Y, Kim YS and Kawamori R: Rationale and protocol of a trial for prevention of diabetic atherosclerosis by using antiplatelet drugs: Study of Diabetic Atherosclerosis Prevention by Cilostazol (DAPC study). Cardiovasc Diabetol. 5:162006. View Article : Google Scholar : PubMed/NCBI

30 

Lee JH, Kwon KY, Yoon SY, Kim HS and Lim CS: Characteristics of platelet indices, neutrophil-to-lymphocyte ratio and erythrocyte sedimentation rate compared with C reactive protein in patients with cerebral infarction: A retrospective analysis of comparing haematological parameters and C reactive protein. BMJ Open. 4:e0062752014. View Article : Google Scholar : PubMed/NCBI

31 

Du J, Wang Q, He B, Liu P, Chen JY, Quan H and Ma X: Association of mean platelet volume and platelet count with the development and prognosis of ischemic and hemorrhagic stroke. Int J Lab Hematol. 38:233–239. 2016. View Article : Google Scholar : PubMed/NCBI

32 

Chen D, Huang X, Lu S, Deng H, Gan H, Du X and Weixue T: RBP4/Lp-PLA2/Netrin-1 signaling regulation of cognitive dysfunction in diabetic nephropathy complicated with silent cerebral infarction. Exp Clin Endocrinol Diabetes. Jul 13–2017.(Epub ahead of print).

33 

Dahl A, Lund C and Russell D: Atherosclerosis and cerebral infarction. Tidsskr Nor Laegeforen. 127:892–896. 2007.PubMed/NCBI

34 

Samaha FF, Hibbard C, Sacks J, Chen H, Varello MA, George T and Kahn ML: Density of platelet collagen receptors glycoprotein VI and alpha2beta1 and prior myocardial infarction in human subjects, a pilot study. Med Sci Monit. 11:CR224–CR229. 2011.

35 

Kassaian SE, Fathi Y, Lotfi-Tokaldany M, Salarifar M, Alidoosti M, Haji-Zeinali AM, Aghajani H, Amirzadegan A, Nozari Y, Mortazavi SH, et al: Comparison of 1-year major adverse cardiac events in patients undergoing primary percutaneous coronary intervention receiving intracoronary bolus only versus intracoronary bolus plus infusion of glycoprotein IIb/IIIa inhibitors. Crit Pathw Cardiol. 15:89–94. 2016. View Article : Google Scholar : PubMed/NCBI

36 

Motovska Z, Kvasnicka J, Widimsky P, Petr R, Hajkova J, Bobcikova P, Osmancik P, Odvodyova D and Katina S: Platelet glycoprotein GP VI 13254C allele is an independent risk factor of premature myocardial infarction. Thromb Res. 125:e61–e64. 2010. View Article : Google Scholar : PubMed/NCBI

37 

Ali-Hasan-Al-Saegh S, Mirhosseini SJ, Shahidzadeh A, Rahimizadeh E, Sarrafan-Chaharsoughi Z, Ghodratipour Z, Lotfaliani M, Rezaeisadrabadi M, Dehghan HR, Bireta C, et al: Appropriate bolus administration of glycoprotein IIb/IIIa inhibitors for patients with acute coronary syndromes undergoing percutaneous coronary intervention: Intracoronary or intravenous? A comprehensive and updated meta-analysis and systematic review. Kardiol Pol. 74:104–118. 2016.PubMed/NCBI

38 

Dharmasaroja PA and Sae-Lim S: Comparison of aspirin response measured by urinary 11-dehydrothromboxane B2 and VerifyNow aspirin assay in patients with ischemic stroke. J Stroke Cerebrovasc Dis. 23:953–957. 2014. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

November-2017
Volume 7 Issue 5

Print ISSN: 2049-9434
Online ISSN:2049-9442

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Chen D, Huang X, Gan H, Du X, Lu S, Huang R, Liu K and Zhang B: Efficacy of alogliptin combined with motor imagery under hyperbaric oxygen in diabetic nephropathy with silent cerebral infarction. Biomed Rep 7: 407-415, 2017
APA
Chen, D., Huang, X., Gan, H., Du, X., Lu, S., Huang, R. ... Zhang, B. (2017). Efficacy of alogliptin combined with motor imagery under hyperbaric oxygen in diabetic nephropathy with silent cerebral infarction. Biomedical Reports, 7, 407-415. https://doi.org/10.3892/br.2017.983
MLA
Chen, D., Huang, X., Gan, H., Du, X., Lu, S., Huang, R., Liu, K., Zhang, B."Efficacy of alogliptin combined with motor imagery under hyperbaric oxygen in diabetic nephropathy with silent cerebral infarction". Biomedical Reports 7.5 (2017): 407-415.
Chicago
Chen, D., Huang, X., Gan, H., Du, X., Lu, S., Huang, R., Liu, K., Zhang, B."Efficacy of alogliptin combined with motor imagery under hyperbaric oxygen in diabetic nephropathy with silent cerebral infarction". Biomedical Reports 7, no. 5 (2017): 407-415. https://doi.org/10.3892/br.2017.983