Ying Li
Yuanyuan Wang2†
Lei Gao
Qidan Deng- 1College of Sports Science, Jishou University, Jishou, China
- 2Cardiac Care Unit, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China
- 3School of Nursing, Dalian University, Dalian, China
- 4Department of Intensive Care Unit, Affiliated Qingyuan Hospital, Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, China
Purpose: To investigate the effects of nonpharmacological interventions (NPIs) on poststroke depression (PSD) in stroke patients.
Methods: Computer searches were conducted on the PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), and Wanfang databases from their establishment to December 2023. The selection was made using the inclusion and exclusion criteria, and 40 articles were included to compare the effects of the 17 NPIs on patients with PSD.
Results: Forty studies involving seventeen interventions were included. The network findings indicated that compared with conventional therapy (COT), superior PSD improvement was observed for cognitive behavioral therapy (CBT) + acupoint acupuncture (CBTA) (mean difference [MD], −4.25; 95% CI, −5.85 to −2.65), team positive psychotherapy (MD, −4.05; 95% CI, −5.53 to −2.58), music therapy (MT) + positive psychological intervention (MD, −2.25; 95% CI, −3.65 to −0.85), CBT (MD, −1.52; 95% CI, −2.05 to −0.99), mindfulness-based stress reduction (MD, −1.14; 95% CI, −2.14 to −0.14), MT (MD, −0.95; 95% CI, −1.39 to −0.52), acupoint acupuncture + MT (AAMT) (MD, −0.69; 95% CI, −1.25 to −0.14). Furthermore, CBT (MD, −3.87; 95% CI, −4.57 to −3.17), AAMT (MD, −1.02; 95% CI, −1.41 to −0.62), acupressure + MT (MD, −0.91; 95% CI, −1.27 to −0.54), and narrative care + acupressure (MD, −0.74; 95% CI, −1.19 to −0.29) demonstrated superior Pittsburgh Sleep Quality Index (PSQI) improvement compared with COT.
Conclusion: Evidence from systematic reviews and meta-analyses suggests that CBTA improves depression in patients with PSD. Moreover, CBT improves sleep in these patients. Additional randomized controlled trials are required to further investigate the efficacy and mechanisms of these interventions.
Introduction
According to the World Health Organization (WHO) statistics in 2019, stroke is the second leading cause of death, accounting for approximately 11% of total deaths (1). Stroke has a serious impact on multiple functional domains and often leads to disability, affecting patients’ quality of life and leading to negative emotional states (2). Stroke survivors may face significant health challenges and are more likely to experience psychological disorders owing to their severe symptoms and physical disabilities. Depression is one of the most common complications of stroke, with a prevalence rate of 30–33% (3–6). The core symptom cluster includes feelings of low mood, emotional detachment, fatigue, insomnia, feelings of worthlessness, and even suicidal ideation (7–10). Poststroke depression (PSD) negatively affects physical, cognitive, and functional recovery; increases the risk of recurrent vascular events; reduces quality of life; decreases social participation; and increases mortality rates (11, 12). Therefore, it is of utmost importance to identify safe and effective treatment approaches for PSD (13). However, the effectiveness of pharmacological interventions in PSD remains unclear. Furthermore, the use of medications may be further limited by adverse effects, long reaction times, potential drug-related events, and low compliance (14–16). For these reasons, alternative or complementary choices for medication selection are critical to ensure effective management of PSD (17). Nonpharmacological interventions (NPIs) are scientifically based, noninvasive measures for human health that may offer an alternative approach to improving depressive symptoms (17).
A substantial body of evidence supports the effectiveness of NPIs for depression in various clinical populations (15, 18). Several reviews have identified and qualitatively provided evidence for the use of NPIs in PSD (14, 18, 19). In particular, a review suggested that therapeutic approaches such as problem-solving therapy, acupuncture, music therapy (MT), exercise therapy, and motivational interviewing can alleviate depressive symptoms (14). However, evidence-based recommendations regarding the most effective NPIs for improving PSD are currently lacking. Therefore, it is crucial to identify appropriate NPIs that can effectively reduce PSD. Network meta-analysis (NMA), also known as a meta-analysis of mixed or multiple treatment comparisons (20), compares the impact of various NPIs on PSD by estimating both direct and indirect comparisons. Although a previously published NMA has been identified, it only reported the effects of pharmacological treatments and did not investigate NPIs further (21). Hence, the objective of this study was to conduct an NMA of relevant randomized controlled trials (RCTs) to compare the effects of different NPIs on PSD. The results of this study are essential for formulating clinical practice guidelines and recommending optimal intervention strategies to improve PSD.
Methods
This NMA was designed based on the guidelines of the Preferred Reporting Items of Systematic Review and Network Meta-Analysis (22) and registered in the PROSPERO database (CRD42024501101).
Search strategies
Searches for RCTs on PSD published up to December 2023 were conducted using databases such as PubMed, Web of Science, Embase, the Cochrane Library, China National Knowledge Infrastructure (VIP), and Wanfang. The search involved a combination of participants and free words. The search strategy is described in Appendix 1.
Study selection
YL and LG were selected as independent reviewers to screen the titles and abstracts of the retrieved literature using search strategies to identify studies that met the inclusion criteria. In cases of disagreement, checks and discussions were performed by Qd D to reach a consensus. Data were deduplicated using EndNote (23). A full-text assessment of the potentially eligible studies was conducted based on the inclusion and exclusion criteria. Any differences between the reviewers were resolved through discussion, and the EndNote software was used to manage this phase.
Inclusion criteria
The inclusion and exclusion criteria were based on the PICOS standards. Table 1 lists the specific inclusion and exclusion criteria.
Table 1. Inclusion and exclusion criteria.
Risk-of-bias assessment
Two reviewers (LG and XM) independently assessed the risk of bias, and a third reviewer adjudicated using Cochrane collaboration tools, such as sequence generation, assignment hiding, blinding, incomplete outcome data, nonselective outcome reporting, and other sources of bias (24). Each criterion was considered as having a low, unclear, or high risk of bias (25).
Data extraction
The following data were independently extracted from the reviewers: the first author, publication year, country, sample size, and outcome indicators. Data are expressed as mean ± standard deviation (SD).
Data analysis
The “Netmeta” package in R-4.2.1 software was used for NMA. Network plots were generated using the STATA 15.1 “network plot” features to describe and present various forms of motion. Nodes were used to represent various interventions, and edges were used to depict favorable intervention comparisons. Inconsistencies between direct and indirect comparisons were evaluated using the node segmentation method (26). Combined estimates and 95% confidence intervals (95% CIs) were computed using a random-effects network element analysis. In studies in which the same measurement unit was of interest, the mean difference (MD) was considered a treatment effect when analyzing the results or evaluating the standardized MD (SMD). Different exercise treatments were compared using a pairwise random-effects meta-analysis. The heterogeneity of all pair-to-pair comparisons was evaluated using the I2 statistic, and publication bias was evaluated using the p-value of Egger’s test. Publication bias and secondary study effects, analyzed using the results of more than a dozen reported studies, were identified using funnel plots.
Results
Literature selection
After conducting the literature search, 3,992 articles were identified. After removing duplicate records, 3,399 articles remained for further analysis. Among the remaining 103 records, 63 were excluded because of inconsistent intervention measures (42 records), inconsistent outcome indicators (14 records), data deficiencies (3 records), and duplicate studies (4 records). Ultimately, 40 (27–66) studies were included. Figure 1 shows a flowchart of the study.
Figure 1. Flow of trials through the review.
Study and participant characteristics
Studies comparing the effects of 17 NPIs in patients with PSD published between 2006 and 2022 were included. A total of 3,225 patients were included in the selected studies. Among these studies, 40 reported the Hamilton Depression Scale (HAMD), and eight reported the Pittsburgh Sleep Quality Index (PSQI). The participants had an average age of 31–72 years. Table 2 presents the characteristics of the included studies and participants. The risk-of-bias assessment for each study is presented in Appendix 2, and Figure 2 presents the aggregated data.
Table 2. General characteristics of all included studies.
Figure 2. Percentage of studies examining the efficacy of NPIs in patients with PSD with low, unclear, and high risk of bias for each feature of the Cochrane Risk-of-Bias Tool.
Outcomes
HAMD: a total of 40 (27–66) studies, involving 3,225 participants, assessed HAMD. Seventeen interventions were included in the NMA (Figure 3A): Conventional therapy (COT), Cognitive behavioral therapy (CBT), Baduanjin (BDJ), Acceptance and commitment therapy (ACT), Acupressure + music therapy (ACMT), Acupoint acupuncture (ACA), Cognitive behavioral therapy + acupoint acupuncture (CBTA), Acupoint acupuncture + music therapy (AAMT), Acupoint acupuncture + auricular sticking(AAAS), Team positive psychotherapy (TEPP), Neuromuscular electrical stimulation(NMES), Narrative care + acupressure (NCA), Music therapy (MUT), Music therapy + positive psychological intervention (MTP), Mindfulness-based stress reduction (MBSR), and Empathy technique (EMT).
Figure 3. Network plots: the size of the nodes represents the number of times the exercise appears in any comparison of that treatment, and the width of the edges represents the total sample size in the comparisons it connects. AAAS, Acupoint acupuncture + auricular sticking; AAMT, Acupoint acupuncture + music therapy; ACA, Acupoint acupuncture; ACMT, Acupressure + music therapy; ACT, Acceptance and commitment therapy; BDJ, Baduanjin; CBT, Cognitive behavioral therapy; CBTA, Cognitive behavioral therapy + acupoint acupuncture; COT, Conventional therapy; EMT, Empathy technique; MBSR, Mindfulness-based stress reduction; MUT, Music therapy; MTP, Music therapy + positive psychological intervention; NCA, Narrative care + acupressure; NMES, Neuromuscular electrical stimulation; TEPP, Team positive psychotherapy; VR, Virtual reality technology.
Compared with COT, CBTA (MD, −4.25; 95% CI, −5.85 to −2.65), TEPP (MD, −4.05; 95% CI, −5.53 to −2.58), EMT (MD, −2.25; 95% CI, −3.65 to −0.85), CBT (MD, −1.52; 95% CI, −2.05 to −0.99), MBSR (MD, −1.14; 95% CI, −2.14 to −0.14), MUT (MD, −0.95; 95% CI, −1.39 to −0.52), and AAMT (MD, −0.69; 95% CI, −1.25 to −0.14) reported superior PSD improvement. Additionally, CBTA was more conducive to improving PSD than CBT (MD, −2.73; 95% CI, −4.41 to −1.05), AAAS (MD, −2.88; 95% CI, −5.03 to −0.74), MBSR (MD, −3.11; 95% CI, −4.99 to −1.22), MT (MD, −3.29; 95% CI, −4.95 to −1.64), BDJ (MD, −3.38; 95% CI, −5.52 to −1.24), NSES(MD, −3.46; 95% CI, −5.58 to −1.34), AAMT (MD, −3.55; 95% CI, −5.25 to −1.86), NCA (MD, −3.75; 95% CI, −5.86 to −1.63), VR (MD, −3.79; 95% CI, −5.70 to −1.87), ACMT (MD, −3.79; 95% CI, −5.67 to −1.92), ACA (MD, −3.85; 95% CI, −5.56 to −2.13), ACT (MD, −4.13; 95% CI, 6.24 to −2.02) (Figure 4A). Comparison of the adjusted funnel plots did not provide evidence of significant publication bias, as confirmed by Egger’s test (p = 0.959) (Appendix 3.1). Heterogeneity, intransitivity, and inconsistencies in the NMAs were also evaluated (Appendix 4). Furthermore, direct comparisons of the HAMD scores were performed (Appendix 5.1).
Figure 4. League tables of outcome analyses: data are mean differences and 95% credibility intervals for continuous data. AAAS, Acupoint acupuncture + auricular sticking; AAMT, Acupoint acupuncture + music therapy; ACA, Acupoint acupuncture; ACMT, Acupressure + music therapy; ACT, Acceptance and commitment therapy; BDJ, Baduanjin; CBT, Cognitive behavioral therapy; CBTA, Cognitive behavioral therapy + acupoint acupuncture; COT, Conventional therapy; EMT, Empathy technique; MBSR, Mindfulness-based stress reduction; MUT, Music therapy; MTP, Music therapy + positive psychological intervention; NCA, Narrative care + acupressure; NMES, Neuromuscular electrical stimulation; TEPP, Team positive psychotherapy; VR, Virtual reality technology.
Sleep quality: In 8 (27, 34, 43, 45, 47, 48, 57, 58) studies, the PSQI was assessed in 726 participants. Seven interventions were included in the NMA (Figure 3B): Conventional therapy (COT), Narrative care + acupressure (NCA), Cognitive behavioral therapy (CBT), Acupressure + music therapy (ACMT), Acupoint acupuncture (ACA), Acupoint acupuncture + music therapy (AAMT), Music therapy (MUT). CBT (MD, −3.67; 95% CI, −4.43 to −2.91), AAMT (MD, −0.82; 95% CI, −1.20 to −0.44), ACMT (MD, −0.71; 95% CI, −1.19 to −0.24), NCA (MD, −0.55; 95% CI, −1.09 to −0.01) demonstrated superior PSQI improvement compared with MUT. Furthermore, CBT (MD, −3.87; 95% CI, −4.57 to −3.17), AAMT (MD, −1.02; 95% CI, −1.41 to −0.62), ACMT (MD, −0.91; 95% CI, −1.27 to −0.54), and NCA (MD, −0.74; 95% CI, −1.19 to −0.29) demonstrated superior PSQI improvement compared with COT (Figure 4B). A comparison of the adjusted funnel plot did not provide evidence of significant publication bias, as confirmed by the Egger’s test (p = 0.356) (Appendix 3.2). Heterogeneity, inaccessibility, and inconsistencies in the NMAs were evaluated (Appendix 4). In addition, direct comparisons of the PSQI scores were evaluated (Appendix 5.2).
Discussion
Depression is the most common neuropsychiatric complication after cerebrovascular accidents, affecting approximately one-third of stroke survivors. The core symptom cluster includes low mood, emotional blunting, fatigue, insomnia, feelings of worthlessness, and even suicidal ideation (7, 9, 67, 68). The use of pharmacotherapy to treat PSD can lead to adverse reactions, symptom withdrawal, and drug resistance. Therefore, there is an urgent need to seek alternative complementary therapies (69). NPIs have fewer adverse effects than drug therapies and have become a popular treatment option for PSD. However, current NPIs comprise various treatment modalities. In this study, we obtained 40 articles and analyzed the effects of 17 types of NPIs on PSD to determine which intervention could effectively improve PSD occurrence, alleviate sleep quality, and improve quality of life.
The findings of this study indicate that Cognitive behavioral therapy + acupoint acupuncture (CBTA), Team positive psychotherapy (TEPP), Empathy technique (EMT), Cognitive behavioral therapy (CBT), Neuromuscular electrical stimulation(NMES), Music therapy (MUT), and Acupoint acupuncture + music therapy (AAMT) are more effective than COT in improving depression in patients with PSD. The pathogenesis of PSD remains unclear, although some studies have suggested that it may be associated with the blockade of noradrenergic and serotonergic neuronal pathways caused by stroke (70). Other studies have indicated that the etiology of PSD is multifactorial and includes biological, psychological, and social influences. CBT aims to improve PSD symptoms and enhance patients’ quality of life. These interventions involve encouraging patients to express their emotions, helping them recognize negative emotions and their consequences, correcting negative habitual thoughts and maladaptive cognitions, and implementing stimulus control therapy to enhance their responsiveness to sleep, alleviate depression, and improve their overall well-being. Acupuncture at specific acupoints is a traditional treatment method used in China that has various therapeutic effects, including alleviating liver and depression symptoms, calming the heart and mind, promoting the circulation of qi and blood, and modulating the expression levels of brain-derived neurotrophic factor and 5-hydroxytryptamine. These effects contribute to the improvement of depressive symptoms and enhancement of daily life functioning (71). The anterior cingulate gyrus (ACC) has extensive fibrous connections with many cortical and subcortical structures and is involved in the regulation of emotion and other functions. ACC can be significantly activated upon receiving negative emotional stimuli; thus, it is regarded as a key structure in the pathogenesis of depression (72). fMRI results have shown that the whole-brain connectivity of multiple regions, such as the medial and lateral prefrontal cortex, was reduced in depressed patients compared with that in healthy volunteers (73), and functional connectivity between the anterior dorsal cingulate cortex and dorsolateral frontal lobe was enhanced (74). A previous study (75) has shown that acupuncture at the Baihui point can regulate the default mode network in patients with depression and induce enhanced functional connections between the posterior central gyrus, prefrontal cortex, and bilateral ACC. In another study (76), stimulating the transcutaneous vagus nerve (tVNS) significantly reduced the HAMD scores in patients with depression. fMRI results showed that tVNS significantly regulated the resting-state functional connections in the frontal amygdala of patients with depression. In traditional Chinese medicine, “depression” belongs to the category of “depression syndrome,” its cause is emotional injury, and its incidence is related to the dysfunction of the heart, liver, and kidney (77). Kehua found that the two channels of the Du pulse and liver of the Jueyin of the foot were combined and used to stimulate Yang Qi and inject blood essence and fluid, which significantly prevented cerebral psychosis (78). Furthermore, acupuncture can significantly enhance neurological function and activities of daily living in patients with stroke. The efficacy of acupuncture is comparable to or even superior to that of drug therapy, with fewer adverse reactions, higher safety, and better patient compliance (79, 80). Acupuncture has a persistent effect; repeated acupuncture has a cumulative effect, and the therapeutic effect can be enhanced by multiple treatments. Repeated treatment helps maintain and enhance initial improvement. However, one study reported that the effects of acupuncture diminish over time (81). Choosing the appropriate acupuncture course is important to ensure the sustained effect of acupuncture and consolidate its curative effect (82). Group psychotherapy has been widely used and recognized as a clinical treatment modality (83). By incorporating components such as rehabilitation discussions and confidence-enhancing exercises, group psychotherapy fosters a sense of team spirit and cohesion among patients. In turn, this encourages the development of an optimistic outlook towards life and active coping style for the disease. Group games are primarily employed to shift attention and promote the recognition of the beauty of life. However, meditation and relaxation training can soothe inner turmoil, enhance patient happiness, and reduce depressive symptoms.
The findings of this study indicate that Cognitive behavioral therapy (CBT), Acupoint acupuncture + music therapy (AAMT), Acupressure + music therapy (ACMT), and Narrative care + acupressure (NCA) are more effective than Conventional therapy (COT) in improving sleep quality in patients with PSD. CBT has demonstrated an efficacy comparable to that of medication in the treatment of moderate-to-severe depression in the general population. This therapeutic approach aids patients in regulating their emotions, attaining optimal activity and function levels, and maintaining realistic and optimistic thinking patterns (84). Furthermore, CBT addresses maladaptive cognitive structures by restructuring erroneous thought processes and implementing behavioral interventions. Specifically, cognitive therapy encompasses the provision of sleep education, correction of misconceptions regarding sleep, and assistance in establishing reasonable expectations for enhancing sleep quality. The preautonomic neurons of the hypothalamic paraventricular nucleus are the main targets of the SCN, which affects the motor nucleus of the hypothalamic vagus nerve and preganglionic motor neurons of the spinal cord (85). This allows the SCN to affect sympathetic and parasympathetic outputs in all organs (86). Different sympathetic nerves project neurons to different organs, thereby providing an anatomical basis for the control of different organs (86). The SCN controls the circadian rhythm of melatonin synthesis in the pineal gland through a multisynaptic pathway, preautonomic neurons of the PVN, parasympathetic neurons of the spinal cord, and norepinephrinergic neurons in the superior cervical ganglion. Norepinephrine is a sympathetic neurotransmitter with an obvious circadian rhythm that activates the internal circadian rhythm of cardiomyocytes in a serum-free manner (87). The American Medical Association guidelines recommend CBT as the first-line treatment for insomnia (88). The main mechanism of CBT is to promote rapid and effective neural guidance at the thalamus level to initiate sleep, reduce the activity of the whole sympathetic nervous system of patients, and weaken cognitive psychological “arousal,” so as to assist in inducing sleep (89, 90). However, the mechanism of action at the basic level of physiological anatomy, circadian rhythm changes, and biochemical changes remains unclear and requires further research (91). In addition, studies have found that vagus nerve stimulation can significantly activate the nucleus of the solitary tract; project fibers to the parabrachial nucleus, locus coeruleus, raphe nucleus, reticular structure, thalamus, and other central sleep structures; and participate in sleep regulation of sleep (92). CBT can stimulate the reticular structure of the brain and regulate the central nervous system, which is conducive to improving sleep disorders in patients (93). CBT is effective in improving sleep efficiency and reducing the number of waking times after falling asleep and the latency to fall asleep (94).
AAMT is a noninvasive and well-accepted treatment approach that involves the use of music to stimulate the central nervous system, induce a state of calmness, alleviate pain, and reduce negative emotions, thereby improving sleep quality in patients with PSD (69). MT, a noninvasive natural therapy, offers a safe and cost-effective option worthy of promotion (69). ACA has shown potential efficacy in treating sleep disorders; however, the underlying mechanisms have not yet been fully elucidated. Research indicates that ACA modulates the activity of neurotransmitters and hormones involved in sleep regulation, including melatonin, serotonin, and gamma-aminobutyric acid (GABA) (95). Additionally, it can regulate the autonomic nervous system by reducing sympathetic nerve activity and increasing parasympathetic nerve activity, leading to a more relaxed state conducive to sleep.
Study strengths and limitations
This review has several advantages. First, it provides NMAs that directly and indirectly compare various intervention measures. Moreover, more accurate intervention measures are included and carefully categorized into 17 different interventions, with each intervention being clearly defined. Second, the effects of various interventions on PSD and PSQI were studied, and other intervention measures were analyzed. Thus, the findings of this study serve as a reference.
However, this study has certain limitations. First, the duration, intensity, and frequency of interventions were not considered. Second, the implementation quality of blinding in the included studies was not high, and outcome measures were all subjective indicators. An explanation of the biological parameters should be added. Third, only Chinese and English studies were included, which may have resulted in heterogeneity. Fourth, all studies were small-scale; therefore, future large-scale studies are recommended. Fifth, some of the studies included in this study had a high risk of bias due to the lack of blinding, which will have a certain impact on the results of this study. Finally, this study did not consider the impact of factors such as severity of depression, patients’ medication treatment, or other factors on PSD, which may have a particular influence on the results.
Conclusion
Evidence from systematic reviews and meta-analyses recommends that CBT and ACA improve depression in patients with PSD. CBT should be used to improve sleep in patients. The results of this study are limited, and future studies should include more high-quality studies to further validate the findings and select appropriate interventions based on the circumstances of stroke patients.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
Author contributions
YL: Conceptualization, Data curation, Formal analysis, Methodology, Software, Writing – original draft. YW: Writing – review & editing, Supervision, Resources. LG: Data curation, Software, Writing – original draft. XM: Data curation, Resources, Software, Writing – original draft. QD: Data curation, Resources, Writing – original draft.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Guangdong Province Medical Research Fund Project (Grant Agreement No. A2023229).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fneur.2024.1376336/full#supplementary-material
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Keywords: stroke, PSD, depression, network meta-analysis, systematic reviews
Citation: Li Y, Wang Y, Gao L, Meng X and Deng Q (2024) Effect of nonpharmacological interventions on poststroke depression: a network meta-analysis. Front. Neurol. 15:1376336. doi: 10.3389/fneur.2024.1376336
Edited by:
Giovanni Merlino, Udine University Hospital, ItalyReviewed by:
Perin Cecilia, University of Milano-Bicocca, ItalyOmer Ibrahimagic, University Clinical Center Tuzla, Bosnia and Herzegovina
Im Quah-Smith, Royal Hospital for Women, Australia
Copyright © 2024 Li, Wang, Gao, Meng and Deng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Qidan Deng, 2022695034@gzhmu.edu.cn
†These authors share first authorship