Skip to main content
PMC home page
Brain and Behavior logoLink to Brain and Behavior
. 2020 Aug 17;10(10):e01800. doi: 10.1002/brb3.1800

Association between BDNF rs6265 polymorphisms and postoperative cognitive dysfunction in Chinese Han Population

Songhui Xie 1, Lu Yu 1,2, Mingming Zhou 1,2, Li Liu 1,2, Daoyun Lei 1, Chao Han 1,2,✉
PMCID: PMC7559622  PMID: 33405375

Abstract

Introduction

Brain‐derived neurotrophic factor (BDNF) plays a critical role in the pathogenesis of postoperative cognitive dysfunction (POCD). In present study, we aimed to assess the possible association between POCD and BDNF rs6265 polymorphisms.

Methods

124 patients aged 60 years or older scheduled for elective surgery under general anesthesia and 25 age‐ and gender‐matched healthy volunteers were recruited. POCD was identified using a neuropsychological test battery administered preoperatively, 7 days, and 3 months after surgery. Genotyping of rs6265 was performed using polymerase chain reaction amplification and restriction fragment length polymorphism analysis.

Results

99 patients and 25 healthy controls were finally enrolled in the analysis. 29(29.3%) and 18(18.2%) of 99 patients had POCD at 7 days and 3 months after surgery, respectively. The patients carrying a G allele at the rs6265 locus showed a lower risk for POCD than an A allele carriers on postoperative 7 days, but not 3 months after surgery (OR = 0.67; 95% CI: 0.47–0.96; p = .017; OR = 0.69; 95% CI: 0.42–1.13; p = .14, respectively). The risk of POCD at 7 days following surgery was significantly lower in additive model (OR = 0.41; 95% CI: 0.2–0.84; p = .015) and dominant model (OR = 0.35; 95% CI: 0.13–0.96; p = .042).

Conclusion

We tentatively demonstrate that BDNF rs6265 polymorphisms might be associated with occurrence of POCD at 7 days after surgery and the A > G mutant at the rs6265 locus be likely a protective factor for early POCD in Chinese Han population.

Keywords: BDNF, cognition, genotype, polymorphism, single nucleotide

We used SNPs to detect the genetic polymorphism of BDNF rs6265 in surgical patients. We tentatively demonstrate that BDNF rs6265 polymorphisms be associated with occurrence of POCD at 7 days after surgery and the GG allele at the rs6265 locus be likely a protective factor for early POCD in Chinese Han population.

graphic file with name BRB3-10-e01800-g002.jpg

1. INTRODUCTION

Postoperative cognitive dysfunction (POCD), also named as postoperative neurocognitive disorder (NCD) (Evered, Silbert, & Knopman, 2018), is a highly prevalent disorder, especially in elderly patients, characterized by acute or persistent deficits in attention, concentration, learning, and memory following surgery, which can be detected by a battery of neuropsychological tests (Skvarc, Berk, & Byrne, 2018). POCD can prolong hospital stay, reduce quality of life, increase mortality, and aggravate the burden of public health, leading to significant clinical, social, and financial impacts on patients and their communities. The early ISPOCD1 study reported an incidence of POCD 25.8% one week and 9.9% three months after surgery in patients aged over 60 years who underwent major noncardiac surgery (Moller, Cluitmans, & Rasmussen, 1998), and POCD has become an increasingly important issue with extensive surgeries on older patients.

Although several risk factors for POCD have been identified (Sathananthan, 2018), the pathophysiological mechanism underlying POCD remains unclear. Accumulating evidences indicated the key role of hippocampal neuro‐inflammation in the disease process (Hovens et al., 2014; Terrando, Eriksson, & Ryu, 2011). Brain‐derived neurotrophic factor (BDNF) and its intra‐neuronal pathway have been implicated as mediators between neuro‐inflammation and neuronal dysfunction (e.g., decreased neurogenesis, synaptic plasticity, and LTP) (Barrientos et al., 2004; Yirmiya & Goshen, 2011). Many studies have shown that activation of BDNF signaling pathway could attenuate cognitive impairment after surgery and reduce the elevated levels of inflammatory cytokines (Chen, Wu, & Gu, 2018; Wei, Zheng, & Liu, 2018), suggesting the critical role of BDNF in the development of POCD.

Brain‐derived neurotrophic factor is the most ubiquitous and intensively studied member of the neurotrophic factor family, and the human BDNF gene located on chromosome 11 P13‐14 expresses at least three functional BDNF peptides (proBDNF, mBDNF, and the prodomain) that elicit independent biological effects (Notaras & Buuse, 2019). Although many single‐nucleotide polymorphisms in the BDNF gene are described, few studies on this topic were available except of the BDNF rs6265 polymorphism. Rs6265 is a missense mutation located in the exon of the BDNF gene and is present in approximately 30%–50% of the population (Shimizu, Hashimoto, & Iyo, 2004). The mutation of G to A results in an amino acid residue shift from valine (Val) to methionine (Met) at codon 66 within the BDNF prodomain, which interferes with a sortilin‐binding site disrupting in the intracellular trafficking and thus affecting the sorting of BDNF into secretory vesicles, resulting in reduction of activity‐dependent secretion (Notaras & Buuse, 2015). The rs6265 polymorphism has been found to be associated with memory performance (Kambeitz et al., 2012), Alzheimer disease (Huang, Huang, Cathcart, Smith, & Poduslo, 2007), Parkinson's disease (D'Souza & Rajkumar, 2019), traumatic brain injury (Giarratana, Teng, & Reddi, 2019), greater severity of CAD and incidence of CVD‐related clinical events (Jiang, Babyak, & Brummett, 2017), acute ischemic stroke (Zhou, Ma, & Fang, 2019), bipolar disorder (Lee, Wang, & Chen, 2016), major depression (Schumacher, Jamra, & Becker, 2005), and schizophrenia (Notaras & Buuse, 2015).

In present study, we investigated the correlations of BDNF polymorphism at the rs6265 locus with POCD in Chinese Han population.

2. PARTICIPANTS AND METHODS

2.1. Participants

After approval from the hospital ethics committee, a total of 124 patients scheduled for elective surgery under general anesthesia in the affiliated Yixing Hospital of Jiangsu University from September 2015 to December 2016 were enrolled, while 25 age‐ and gender‐matched healthy volunteers were recruited as controls for POCD calculation. The informed consents for genetic testing were obtained from all patients involved in this study. These patients met the following inclusion criteria: American Society of Anesthesiologists physical classification classes I–II, age 60 years or older, no history of symptomatic cerebrovascular disease, renal failure, active liver disease, bleeding disorders, or visual and hearing impairment. Exclusion criteria were as follows: refusal, pre‐existing neurological or clinically evident neurovascular disease, preoperative mini‐mental state examination (MMSE) scores less than 24, duration of surgery less than 2 hr, and unable to complete all of neuropsychological (NP) tests, and those who have serious postoperative complications and obvious organic change of brain on CT examination were eliminated as well.

2.2. Collection of clinical information

Demographic data, such as age, sex, weight, height, education level, along with history of hypertension, diabetes, smoking, and drinking, were collected by an arranged anesthesiologist. Peri‐operative risk factors, including the type of surgery and anesthesia, analgesics, anticholinergic drug, duration of surgery, events of hypotension during operation, and blood loss, were also recorded.

2.3. Neuropsychological assessment

All patients and controls completed a battery of six NP tests conducted by trained interviewers. The test battery consisted of Visual Verbal Learning, Concept Shifting Task, Stroop Color Word Test, Memory Scanning Task, Letter‐Digit Coding, and Reaction time testing with the Four Boxes Test (Rasmussen, Houx, Skovgaard, Hanning, & Moller, 2001). The patients received the test battery within the day prior to surgery, then on day 7, and at three months after surgery, while the control volunteers underwent NP testing at timepoints corresponding to assessments in the patients undergoing surgery. Each NP test was scored individually for surgery and control subjects, then calculated a change score by subtracting the preoperative score from the 7 day and 3 month score. When a change score was at least 1.96 SD lower than the mean score of the matched control group after adjusting for expected change over time using controls, we considered the test “positive.” POCD was defined using the reliable change index as when two or more of the six baseline tests were “positive.”

2.4. Collection of blood and extraction of DNA

Fasting peripheral venous blood samples (5 ml) were collected from superficial veins of the upper extremity at the elbow of each patient in the morning, with EDTA acid as the anticoagulant. The samples were then stored at −20°C until genotyping.

2.5. Genotyping

Genomic DNA was extracted from the blood samples using DNA extraction kit (TIANGEN Co., China). Genotyping of rs6265 was determined by polymerase chain reaction amplification and restriction fragment length polymorphism analysis, as described elsewhere (Zhou et al., 2019).

2.6. Statistical analysis

Statistical analyses were conducted using SPSS 19.0 (SPSS Inc., Chicago, USA). Continuous variables and categorical variables are described as means ± standard deviation and numbers or percentages appropriately. Categorical variables were analyzed by the chi‐square (χ 2)‐test, and the continuous variables was analyzed by independent t test. The association between the genotypes and risk of POCD was assessed by calculating values of odds ratios (ORs) and 95% confidence intervals (95% CIs). Hardy–Weinberg equilibrium (HWE) value was calculated by chi‐squared test.

3. RESULTS

As described above, 124 patients were recruited in this study. Of the 124 patients, 25 were excluded after surgery for the following reasons: duration of surgery less than 2 hr, death within 3 months, inability to complete NP test because of postoperative complications or intensive care unit admission, and loss of follow‐up at 3 months. A total of 99 patients were finally enrolled in the analysis. According to the POCD definition, of 99 patients, 29(29.3%) and 18(18.2%) have been found to have POCD at 7 days and 3 months after surgery, respectively. The study flow chart is shown in Figure 1.

Figure 1.

Figure 1

Open in a new tab

study flow chart

The demographic data between surgical patients and healthy volunteers were compatible (age, 71.7 ± 4.5 versus 68.2 ± 3.1; sex 79.8% versus 76.0%; BMI, 25.5 ± 2.3 versus 24.6 ± 1.4; hypertension, 47.5% versus 44.0%; diabetes, 12.1% versus 12.0%; smoking, 42.4% versus 36.0%; drinking, 37.4% versus 32.0%; education, 4.8 ± 2.2 versus 5.6 ± 2.3). The demographic and clinical data of POCD and NO‐POCD patients 7 days and 3 months after surgery were shown in Table 1. No significant difference was available between the two groups except of education and recovery time at postoperative 3 months.

Table 1.

Demographic and clinical data of POCD and NO‐POCD patients 7 days and 3 months after surgery

Characteristic Postoperative 7 days p Postoperative 3 months p
POCD (n = 29) NO‐POCD (n = 70) POCD (n = 18) NO‐POCD (n = 81)
Age (y) 72.6 ± 4.6 71.3 ± 4.1 .28 73.5 ± 3.7 72.2 ± 4.4 .24
Sex (male) 23 (79.3) 56 (80.0) .93 15 (83.3) 64 (79.0) .67
BMI 25.6 ± 2.1 25.2 ± 2.3 .42 25.4 ± 1.9 25.5 ± 2.2 .85
Hypertension 14 (48.3) 33 (47.1) .91 9 (50.0) 38 (46.9) .81
Diabetes 3 (10.3) 9 (12.9) .72 2 (11.1) 10 (12.3) .88
Smoking 11 (37.9) 31 (44.3) .56 9 (50.0) 33 (40.7) .47
Drinking 10 (34.5) 27 (38.6) .70 8 (44.4) 29 (35.8) .49
Education (y) 4.3 ± 2.1 5.1 ± 1.8 .07 4.1 ± 1.7 5.2 + 1.7 .02
Type of surgery
Abdominal 18 (62.1) 32 (45.7) 12 (66.7) 38 (46.9)
Thoracic 7 (24.1) 18 (25.7) 4 (22.2) 21 (25.9)
Orthopedics 3 (10.3) 15 (21.4) 2 (11.1) 16 (19.8)
Others 1 (3.4) 5 (7.1) .39 0 (0) 6 (7.4) .36
Type of anesthesia
Propofol Intravenous 13 (44.8) 43 (61.4) 8 (44.4) 48 (59.3)
Sevoflurane Inhalation 16 (55.2) 27 (38.6) .12 10 (55.6) 33 (40.7) .25
Anticholinergic 24 (82.8) 57 (81.45) .87 16 (88.9) 65 (80.2) .38
Duration of surgery (hr) 2.7 ± 0.4 2.5 ± 0.6 .11 2.8. ±0.4 2.6 ± 0.5 .11
Events of hypotension during operation 11 (37.9) 23 (32.9) .62 8 (44.4) 26 (32.1) .31
Blood loss (ml) 353.8 ± 45.2 337.5 ± 55.4 .16 362.5 ± 62.7 346.4 ± 51.3 .25
Recovery time (min) 26.6 ± 6.3 25.2 ± 6.6 .33 28.5 ± 7.4 24.8 ± 6.2 . 03
Pain scores within 24 hr after surgery 3.3 ± 1.4 2.8 ± 1.3 .09 3.4 ± 1.6 2.7 ± 1.4 .07
Open in a new tab

Note: (Percentage).

Rs6265 genotypes/allele frequencies distribution and association with POCD are shown in Table 2. HWE for rs6265 genotypes reached the equilibrium level, HWE (chi‐squared test = 4.402, p = .11).

Table 2.

Rs6265 genotypes and allele frequencies between POCD and NO‐POCD

Group Allele OR (95% CI) p genotype Additive model Dominant model Recessive model
A G AA AG GG OR (95% CI) p OR (95% CI) P OR (95% CI) p
7 days POCD 36 22 10 16 3
NO‐POCD 61 79 0.67 (0.47–0.96) .017 11 39 20 0.41 (0.2–0.84) .015 0.35 (0.13–0.96) .042 0.29 (0.078–1.06) .061
3 months POCD 28 22 8 12 5
NO‐POCD 69 79 0.69 (0.42–1.13) .14 13 43 18 0.65 (0.32−0.302) .22 0.45 (0.16–1.27) .13 0.77 (0.25–2.37) .65
Open in a new tab

4. DISCUSSION

As gene technology is widely used to detect the susceptibility of a certain disease, anesthesiologists have been committed to find genetic indicators of POCD susceptibility to respond to the adoption of positive anesthesia nursing. Tardiff et al (Tardiff et al., 1997). first reported the APOE‐ε4 genotype related to cognitive dysfunction after cardiopulmonary bypass. Subsequent studies presented conflicting results (Abildstrom, Siersma, & Rasmussen, 2004; Bryson et al., 2011; Cai et al., 2012; Heyer et al., 2005; McDonagh et al., 2010). A recent cohort analysis of 1,033 participants found that older men with APOE‐ε4 allele may be more vulnerable to postoperative cognitive dysfunction than older women with APOE4 allele (Schenning, Murchison, Mattek, Kaye, & Quinn, 2019). Up to date, the relation between APOE‐ε4 and POCD is still unclear. Some other studies investigated candidate genes regulating biologic pathways for inflammation, cell matrix adhesion/interaction, coagulation‐thrombosis, lipid metabolism, vascular reactivity, and drug metabolism which are associated with incidence of POCD (Mathew, Podgoreanu, & Grocott, 2007; Steinmetz et al., 2012), suggesting P‐selectin and CRP genes in modulating susceptibility to cognitive decline after cardiac surgery.

In this study, for the first time, we studied the correlations between polymorphism at the BDNF rs6265 (A/G) locus and POCD after surgery 7 days and 3 months. We discovered that patients carrying a G allele at the rs6265 locus showed a lower risk for POCD than an A allele carriers on postoperative 7 days, but not 3 months after surgery (OR = 0.67; 95% CI: 0.47–0.96; p = .017; OR = 0.69; 95% CI: 0.42–1.13; p = .14; 7 days and 3 months after surgery, respectively). Additionally, the additive model showed that risk of POCD in carriers of the GG and AG genotypes was significantly lower than AA genotype individuals in 7 days following surgery (OR = 0.41; 95% CI: 0.2–0.84; p = .015). The dominant model also showed the same trend (OR = 0.35; 95% CI: 0.13–0.96; p = .042). These results suggested that BDNF rs6265 A > G mutant might be an independent protective factor for POCD at 7 days after surgery.

Previous study has shown that inhibition of the brain‐derived neurotrophic factor signaling pathway in the hippocampus and amygdala contribute to surgical incision‐induced postoperative cognitive function impairment in mice (Liu, Liu, Ma, & Zhao, 2018), indicating the pivotal role of BDNF in POCD. BDNF gene may affect BDNF secretion and/or function, thereby affecting postoperative cognitive function. In a human study, BDNF val66met carriers exhibited relatively diminished hippocampal engagement in comparison with val homozygotes during both encoding and retrieval processes, and interaction between the BDNF val66met genotype and the hippocampal response during encoding accounted for 25% of the total variation in recognition memory performance, suggesting that the BDNF66Met substitution may alter the encoding of engrams (Hariri et al., 2003). Furthermore, in a BDNF Val66Met knock‐in mouse model BDNF Met/Met mice were found to have deficient contextual fear memory as well as reduced hippocampal volumes relative to BDNF Val/Val mice, and the neurons isolated from this mouse model also exhibited defective activity‐dependent release of BDNF (Chen, Jing, & Bath, 2006). In addition, several other reports have also found that the BDNF 66Met allele also disrupts hippocampus‐dependent spatial memory on the water‐ and T‐mazes (Wang, Tian, & Dong, 2014; Yu et al., 2012). These evidences above might explain the underlying pathogenesis of POCD due to rs6265 polymorphism.

There are some limitations in our study that should be noted. First, this study is a single‐center study with a small sample size limited by fund and time. Second, this study only included the Han population in eastern China, and the findings need to be further verified in different ethnic populations in different regions. Third, our study included all kinds of surgeries and ignored the potential difference of POCD incidence between different operations. Lastly, we did not detect the changes of BDNF in plasma or cerebrospinal fluid BDNF which might partly reflect the differences of BDNF levels due to rs6265 polymorphism in the human brain.

Taken together, we tentatively suggest that rs6265 genotypes might be associated with the development of early POCD and the A > G mutant GG allele at the rs6265 locus is likely a protective factor for early POCD in Chinese Han population. However, it is clearly important that an independent study in large, well‐characterized samples need to replicate this potentially important finding.

DISCLOSURE

The authors report no conflicts of interest in this work.

AUTHOR CONTRIBUTION

Songhui Xie and Chao Han performed the research, Lu Yu selected participants contributed clinical information, Mingming Zhou and Li Liu analyzed the data, Chao Han designed the research study, and Daoyun Lei wrote the paper.

Peer Review

The peer review history for this article is available at https://publons.com/publon/10.1002/brb3.1800.

ACKNOWLEDGMENTS

This study was funded by Clinical Medical Science and Technology Development Fund Project of Jiangsu University (grant number, JLY20180062), Science and Technology Innovation Project of Yixing (grant number, 2016‐11) and The General Program of Health Commission of Wuxi (grant number, 2019‐MS‐34).

Xie S, Yu L, Zhou M, Liu L, Lei D, Han C. Association between BDNF rs6265 polymorphisms and postoperative cognitive dysfunction in Chinese Han Population. Brain Behav. 2020;10:e01800 10.1002/brb3.1800

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

REFERENCES

  1. Abildstrom, H. C. M. , Siersma, V. D. , & Rasmussen, L. S. (2004). ISPOCD2 Investigators. Apolipoprotein E genotype and cognitive dysfunction after noncardiac surgery. Anesthesiology, 101(4), 855–861. 10.1097/00000542-200410000-00009 [DOI] [PubMed] [Google Scholar]
  2. Barrientos, R. M. , Sprunger, D. B. , Campeau, S. , Watkins, L. R. , Rudy, J. W. , & Maier, S. F. (2004). BDNF mRNA expression in rat hippocampus following contextual learning is blocked by intrahippocampal IL‐1beta administration. Journal of Neuroimmunology, 155(1–2), 119–126. [DOI] [PubMed] [Google Scholar]
  3. Bryson, G. L. , Wyand, A. , Wozny, D. , Rees, L. , Taljaard, M. , & Nathan, H. (2011). A prospective cohort study evaluating associations among delirium, postoperative cognitive dysfunction, and apolipoprotein E genotype following open aortic repair. Canadian Journal of Anaesthesia, 58(3), 246–255. [DOI] [PubMed] [Google Scholar]
  4. Cai, Y. H. H. , Liu, P. , Feng, G. , Dong, W. , Yu, B. , Zhu, Y. , … Zhao, M. (2012). Association between the Apolipoprotein E4 and Postoperative Cognitive Dysfunction in Elderly Patients Undergoing Intravenous Anesthesia and Inhalation Anesthesia. Anesthesiology, 116(1), 84–93. 10.1097/ALN.0b013e31823da7a2 [DOI] [PubMed] [Google Scholar]
  5. Chen, H. , Wu, X. , Gu, X. et al (2018). Tacrine(10)‐hupyridone prevents post‐operative cognitive dysfunction Via The activation of BDNF pathway and the inhibition of AChE in aged mice. Frontiers in Cellular Neuroscience, 12, 396 10.3389/fncel.2018.00396 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Chen, Z. Y. , Jing, D. , Bath, K. G. et al (2006). Genetic variant BDNF (Val66Met) polymorphism alters anxiety‐related behavior. Science, 314(5796), 140–143. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. D'Souza, T. , & Rajkumar, A. P. Systematic review of genetic variants associated with cognitive impairment and depressive symptoms in Parkinson's disease. Acta Neuropsychiatrica. 2019:1–13. 10.1017/neu.2019.28 [DOI] [PubMed] [Google Scholar]
  8. Evered, L. , Silbert, B. , Knopman, D. S. et al (2018). Recommendations for the Nomenclature of Cognitive Change Associated with Anaesthesia and Surgery‐2018. Anesthesiology, 129(5), 872–879. [DOI] [PubMed] [Google Scholar]
  9. Giarratana, A. O. , Teng, S. , Reddi, S. et al (2019). BDNF Val66Met genetic polymorphism results in poor recovery following repeated mild traumatic brain injury in a mouse model and treatment with AAV‐BDNF improves outcomes. Frontiers in Neurology, 10, 1175 10.3389/fneur.2019.01175 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Hariri, A. R. G. T. , Mattay, V. S. , Kolachana, B. S. , Callicott, J. H. , Egan, M. F. , & Weinberger, D. R. (2003). Brain‐Derived Neurotrophic Factor val66met Polymorphism Affects Human Memory‐Related Hippocampal Activity and Predicts Memory Performance. Journal of Neuroscience, 23(17), 6690–6694. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Heyer, E. J. W. D. , Sahlein, D. H. , Mocco, J. , Williams, S. C. , Sciacca, R. , Rampersad, A. , … Connolly, E. S. Jr (2005). APOE‐epsilon4 predisposes to cognitive dysfunction following uncomplicated carotid endarterectomy. Neurology, 65(11), 1759–1763. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Hovens, I. B. , Schoemaker, R. G. , van der Zee, E. A. , Absalom, A. R. , Heineman, E. , & van Leeuwen, B. L. (2014). Postoperative cognitive dysfunction: Involvement of neuroinflammation and neuronal functioning. Brain, Behavior, and Immunity, 38, 202–210. [DOI] [PubMed] [Google Scholar]
  13. Huang, R. , Huang, J. , Cathcart, H. , Smith, S. , & Poduslo, S. E. (2007). Genetic variants in brain‐derived neurotrophic factor associated with Alzheimer's disease. Journal of Medical Genetics, 44(2), e66 10.1136/jmg.2006.044883 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Jiang, R. , Babyak, M. A. , Brummett, B. H. et al (2017). Brain‐derived neurotrophic factor rs6265 (Val66Met) polymorphism is associated with disease severity and incidence of cardiovascular events in a patient cohort. American Heart Journal, 190, 40–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Kambeitz, J. P. , Bhattacharyya, S. , Kambeitz‐Ilankovic, L. M. , Valli, I. , Collier, D. A. , & McGuire, P. (2012). Effect of BDNF val(66)met polymorphism on declarative memory and its neural substrate: A meta‐analysis. Neuroscience and Biobehavioral Reviews, 36(9), 2165–2177. [DOI] [PubMed] [Google Scholar]
  16. Lee, S. Y. , Wang, T. Y. , Chen, S. L. et al The correlation between plasma brain‐derived neurotrophic factor and cognitive function in bipolar disorder is modulated by the BDNF Val66Met polymorphism. Scientific Reports. 2016;6:37950. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Liu, Z. L. F. , Liu, X. , Ma, C. , & Zhao, J. (2018). Surgical incision induces learning impairment in mice partially through inhibition of the brain‐derived neurotrophic factor signaling pathway in the hippocampus and amygdala. Molecular Pain, 14, 1744806918805902 10.1177/1744806918805902 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Mathew, J. P. , Podgoreanu, M. V. , Grocott, H. P. et al (2007). Genetic variants in P‐selectin and C‐reactive protein influence susceptibility to cognitive decline after cardiac surgery. Journal of the American College of Cardiology, 49(19), 1934–1942. [DOI] [PubMed] [Google Scholar]
  19. McDonagh, D. L. M. J. , White, W. D. , Phillips‐Bute, B. , Laskowitz, D. T. , Podgoreanu, M. V. , & Newman, M. F. (2010). Neurologic outcome research group. cognitive function after major noncardiac surgery, apolipoprotein E4 genotype, and biomarkers of brain injury. Anesthesiology, 112(4), 852–859. 10.1097/ALN.0b013e3181d31fd7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Moller, J. T. , Cluitmans, P. , Rasmussen, L. S. et al (1998). Long‐term postoperative cognitive dysfunction in the elderly: ISPOCD1 study. The Lancet, 351(9106), 857–861. 10.1016/S0140-6736(97)07382-0 [DOI] [PubMed] [Google Scholar]
  21. Notaras, M. H. R. , & van den Buuse, M. (2015). A role for the BDNF gene Val66Met polymorphism ischizophrenia A comprehensive review. Neuroscience and Biobehavioral Reviews, 51, 15–30. [DOI] [PubMed] [Google Scholar]
  22. Notaras, M. , & van den Buuse, M. (2019). Brain‐derived neurotrophic factor (BDNF): Novel insights into regulation and genetic variation. The Neuroscientist, 25(5), 434–454. [DOI] [PubMed] [Google Scholar]
  23. Rasmussen, L. S. L. K. , Houx, P. , Skovgaard, L. T. , Hanning, C. D. , & Moller, J. T. (2001). ISPOCD group. The International Study of Postoperative Cognitive Dysfunction. The assessment of postoperative cognitive function. Acta Anaesthesiologica Scandinavica, 45(3), 275–289. [DOI] [PubMed] [Google Scholar]
  24. Sathananthan, C. (2018). Postoperative cognitive dysfunction: Key concepts. British Journal of Hospital Medicine, 79(6), 357 10.12968/hmed.2018.79.6.357 [DOI] [PubMed] [Google Scholar]
  25. Schenning, K. J. , Murchison, C. F. , Mattek, N. C. , Kaye, J. A. , & Quinn, J. F. Sex and genetic differences in postoperative cognitive dysfunction: A longitudinal cohort analysis. Biology of Sex Differences. 2019;10(1):14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Schumacher, J. , Jamra, R. A. , Becker, T. et al (2005). Evidence for a relationship between genetic variants at the brain‐derived neurotrophic factor (BDNF) locus and major depression. Biological Psychiatry, 58(4), 307–314. [DOI] [PubMed] [Google Scholar]
  27. Shimizu, E. , Hashimoto, K. , & Iyo, M. Ethnic difference of the BDNF 196G/A (val66met) polymorphism frequencies: The possibility to explain ethnic mental traits. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics. 2004;126B(1):122–123. 10.1002/ajmg.b.20118 [DOI] [PubMed] [Google Scholar]
  28. Skvarc, D. R. , Berk, M. , Byrne, L. K. et al (2018). Post‐Operative Cognitive Dysfunction: An exploration of the inflammatory hypothesis and novel therapies. Neuroscience and Biobehavioral Reviews, 84, 116–133. [DOI] [PubMed] [Google Scholar]
  29. Steinmetz, J. J. C. , Dalhoff, K. , Hedley, P. , Abildstrøm, H. , Christiansen, M. , & Rasmussen, L. S. (2012). ISPOCD group. Cytochrome P450 polymorphism and postoperative cognitive dysfunction. Minerva Anestesiologica, 78(3), 303–309. [PubMed] [Google Scholar]
  30. Tardiff, B. E. N. M. , Saunders, A. M. , Strittmatter, W. J. , Blumenthal, J. A. , White, W. D. , Croughwell, N. D. , … Reves, J. G. (1997). Preliminary report of a genetic basis for cognitive decline after cardiac operation. The Annals of Thoracic Surgery, 64(3), 715–720. [DOI] [PubMed] [Google Scholar]
  31. Terrando, N. , Eriksson, L. I. , Ryu, J. K. et al (2011). Resolving postoperative neuroinflammation and cognitive decline. Annals of Neurology, 70(6), 986–995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Wang, D. D. , Tian, T. , Dong, Q. et al (2014). Transcriptome profiling analysis of the mechanisms underlying the BDNF Val66Met polymorphism induced dysfunctions of the central nervous system. Hippocampus, 24(1), 65–78. [DOI] [PubMed] [Google Scholar]
  33. Wei, P. , Zheng, Q. , Liu, H. et al (2018). Nicotine‐induced neuroprotection against cognitive dysfunction after partial hepatectomy involves activation of BDNF/TrkB signaling pathway and inhibition of NF‐kappaB signaling pathway in aged rats. Nicotine & Tobacco Research, 20(4), 515–522. [DOI] [PubMed] [Google Scholar]
  34. Yirmiya, R. , & Goshen, I. (2011). Immune modulation of learning, memory, neural plasticity and neurogenesis. Brain, Behavior, and Immunity, 25(2), 181–213. [DOI] [PubMed] [Google Scholar]
  35. Yu, H. , Wang, D. D. , Wang, Y. , Liu, T. , Lee, F. S. , & Chen, Z. Y. (2012). Variant brain‐derived neurotrophic factor Val66Met polymorphism alters vulnerability to stress and response to antidepressants. The Journal of Neuroscience, 32(12), 4092–4101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Zhou, J. , Ma, M. M. , Fang, J. H. et al (2019). Differences in brain‐derived neurotrophic factor gene polymorphisms between acute ischemic stroke patients and healthy controls in the Han population of southwest China. Neural Regeneration Research, 14(8), 1404–1411. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

Articles from Brain and Behavior are provided here courtesy of Wiley

RESOURCES