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SYSTEMATIC REVIEW article

Front. Endocrinol., 19 August 2022
Sec. Clinical Diabetes
This article is part of the Research Topic Research Advances in Gestational Diabetes Mellitus, Neonatal Diabetes Mellitus, and Metabolic Disorders Volume II View all 8 articles

The efficacy and safety of evogliptin for type 2 diabetes mellitus: A systematic review and meta-analysis

Qizhi Tang*Qizhi Tang*Weiyu PanWeiyu PanLiangyue PengLiangyue Peng
  • Department of Endocrinology, Guangdong Hospital of Integrated Traditional Chinese and Western Medicine, Foshan, China

Introduction: The dipeptidyl peptidase-4 inhibitor (DPP-4i) drugs, such as evogliptin, as the second-line drugs for type 2 diabetes mellitus (T2DM) treatment have been reported to facilitate insulin secretion by reducing glucagon and inhibiting glucagon like peptides. With a vague consensus, the advantageous and non-inferior effects of evogliptin relative to other DPP-4i drugs were recently demonstrated on hemoglobin A1c (HbA1c) levels and overall adverse events in T2DM patients. Thus, the aim was to evaluate the overall influence of evogliptin on HbA1c levels and the adverse events in T2DM patients compared to sitagliptin and linagliptin.

Methods: Complying with PRISMA guidelines, we conducted a systematic literature search in databases and a meta-analysis. Data about HbA1c levels and the adverse events of T2DM patients were collected and analyzed.

Results: From 1,397 studies, we found five matched studies involving 845 subjects (mean age: 54.7 ± 3 years). The meta-analysis revealed that evogliptin was non-inferior to sitagliptin/linagliptin with a mean difference of 0.062 (95% CI: -0.092 to 0.215. I2: 0%. P = 0.431) regarding the HbA1c level reduction, and the risk ratio was -0.006 (95% CI: -0.272 to 0.260. I2: 1.7%. P = 0.966) regarding the adverse effects, indicating no significant difference between evogliptin and linagliptin or sitagliptin in affecting the HbA1c level and adverse effects.

Conclusion: The study provides preliminary evidence regarding the similarity in the efficacy of evogliptin compared to other DPP-4i drugs, including sitagliptin and linagliptin, for managing HbA1c levels and adverse events.

Introduction

As a metabolic disorder commonly observed across the world, Type 2 diabetes mellitus (T2DM) is characterized by an increased level of fasting glucose beyond 7.0 mmol/L or ≥6.5% levels of hemoglobin A1c (HbA1c) (1). Epidemiological research has widely documented a high prevalence rate of 12.8% of DM among adults aged 20–79 years old (2), and as per recent disease statistics, diabetes contributes to nearly 4.6 million deaths annually across the world (3). T2DM progresses relentlessly in terms of severity due to the insensitivity or inadequacy of natural insulin for metabolizing carbohydrates and fat (4). Here, persistent high blood glucose levels, predominantly due to the natural familial history of T2DM, are likely due to aggravation in β-cell defects, which eventually promote the disease severity (4). T2DM patients manifest numerous complications that significantly influence the prognosis of mortality and long-term life quality.

There are currently many conventional drugs for the treatment of T2DM, such as metformin, thiazolidinediones, sulfonylureas, dipeptidyl peptidase-4 inhibitor (DPP-4i), and sodium-glucose cotransporter-2 inhibitor (5). However, every medicine has its drawbacks and advantages. Some complications of T2DM patients, such as severe diabetic nephropathy, limit the application of some of the above drugs. Therefore, it is of great significance to search for more novel drugs and determine their application scope for diversifying the choices for T2DM patients. Among those drugs, DPP-4i, as an anti-hyperglycemic drug that can regulate the incretin hormones to enhance glucose tolerance and increase insulin levels by inhibiting the loss of β-cells mass, has been recommended as one of the second-line agents to treat T2DM. Evogliptin, a new DPP-4i drug marketed in 2015, has a superior influence in increasing the glucagon-like peptide-1 levels, which eventually results in reduced glucose levels within a durational period (6), and can bypass renal metabolization as compared to other DPP-4i drugs such as sitagliptin and linagliptin (7).

Due to the relatively short period of clinical application of evogliptin, only a few studies have reported its effect on HbA1C levels and adverse events. Furthermore, several individual randomized controlled studies are already evaluating the efficacy of evogliptin in managing T2DM outcomes in terms of HbA1c levels compared to other DPP-4i drugs, including sitagliptin and linagliptin. Here, some studies have reported a higher efficacy of evogliptin as compared to linagliptin (8) and sitagliptin (9), for reducing HbA1c levels and decreasing the number of overall adverse event outcomes, whereas the others have reported opposite results (10, 11). These differential results and a lack of consensus regarding the efficacy of evogliptin compared to other DPP-4i drugs, including sitagliptin and linagliptin for managing T2DM, have prevented diabetologists worldwide from effectively establishing optimal practice guidelines of DPP-4i drugs for managing T2DM. In addition, there is currently no systematic review or meta-analysis that evaluates the overall influence of evogliptin on HbA1c levels and the adverse events in T2DM patients compared to other DPP-4i drugs, including sitagliptin and linagliptin.

Since evogliptin differs from other DPP-4i medications such as sitagliptin and linagliptin in terms of its overall impact on HbA1c levels and the adverse events in T2DM patients, we aimed to integrate this information in the current study and evaluate the advantages or non-inferior effects of evogliptin on reducing the HbA1c level and adverse events. Our findings may enhance diabetologists’ clinical knowledge of T2DM care, while minimizing pertinent complications and providing support for one more choice for diabetic patients.

Materials and methods

A systematic review and meta-analysis were performed complying with the PRISMA guideline (12).

Data search strategy

The databases, including MEDLINE, CENTRAL, EMBASE, and Scopus, were searched from inception until October 2020 with the below-searched MeSH keywords “Type 2 diabetes”, “diabetes mellitus”, “Evogliptin”, “Sitagliptin”, “Linagliptin”, “HbA1c”, and “adverse events” in different combinations. Furthermore, we followed the inclusion criteria below to manually screen the included research’s bibliography parts to ascertain further relevant studies.

a) Studies examined HbA1c outcomes in T2DM patients receiving evogliptin, sitagliptin, and linagliptin.

b) Studies had the human subjects investigated.

c) Studies had to be either randomized/quasi-randomized controlled trials, controlled clinical trials, prospective observational trials with control groups, or retrospective trials.

d) Studies had to be reported in peer-reviewed academic journals or scientific conferences.

e) Language used in articles had to be English.

Two researchers separately completed the study screen. When disagreements arose, a discussion was carried out to arbitrate by another independent reviewer. The below data were obtained, including author information, descriptive data, site country, research design, medication, dosage intensity, duration of diabetes, HbA1c levels, and overall adverse event outcomes. Furthermore, contact was attempted in the studies without quantitative data to access the study’s corresponding authors.

Quality assessment

The risk of bias was assessed for enrolled trials through Cochrane’s risk of bias assessment tool for randomized controlled trials (13). Methodology quality was evaluated by two reviewers separately. When disagreements arose, an arbitration was carried out by another independent researcher.

Statistical analysis

Normally distributed data are expressed as the mean ± standard deviation (M ± S.D). Upon a random-effects model (13), Comprehensive Meta-analysis version 2.0 was applied for analyses. Briefly, the pooled prevalence rate was estimated and heterogeneity was imputed by calculating I2 statistics. The heterogeneity with a 0%–25% threshold of I2 statistics was identified as negligible, 25%–75% moderate, and ≥75% substantial. Then data distribution and global prevalence of HbA1c levels and adverse events between the groups receiving evogliptin, sitagliptin, and linagliptin were conducted. We presented the prevalence, 95% confidence interval (CI), significance level, and heterogeneity. Besides, publication bias analysis was performed by evaluating Duval and Tweedy’s trim and fill method (14). This method presents a nuanced perspective regarding the overall effect, and whether it would shift in case the apparent bias was removed. The analysis is characterized by the imputation of studies from either side of the plotted graph to identify any unbiased effect. Differences below 5% were defined as significant.

Results

A systematic search of four databases yielded 1,370 studies, and a further 27 studies were filtered from the article bibliographies (Figure 1). After screening, five studies remained that matched the inclusion criteria, which all were randomized controlled studies, and the analyzed data at a detailed level were displayed in Table 1.

FIGURE 1
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Figure 1 PRISMA flowchart.

TABLE 1
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Table 1 Details of the included studies.

Participant information

In all, 830 (female/male: 403/427) participants with T2DM were included in the five studies. A total of 419 (female/male: 196/223) patients received evogliptin, whereas 231 (female/male: 120/111) patients received sitagliptin. Linagliptin was given in one study, including a total of 100 (female/male: 46/54) patients (8), and one study included a control group with 80 (female/male: 41/39) patients (15). The mean age of all subjects was 54.7 ± 3.0 years. Here, the age of the group getting evogliptin was 54.6 ± 3.4 years, and the comparator group was 54.8 ± 2.8 years.

Quality assessment for enrolled trials

Risk assessment of methodological bias was evaluated, with results presented in Table 2. We discovered a low overall risk of the pooled studies (Figure 2), and selective reporting and other biases were considered the primary biasing sources (Figure 3).

TABLE 2
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Table 2 Risk assessment of bias within studies.

FIGURE 2
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Figure 2 Assessing the publication bias through Duval & Tweedy’s trim and fill method.

FIGURE 3
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Figure 3 Risk assessment of bias.

Publication bias

Duval and Tweedy’s trim and fill method were employed to determine missed studies complying with the random effect model on both sides of the funnel plot and observed two studies lacking of the right side of the mean effect (Figure 3). The overall random effect models determined the point estimate was 0.06 (95% CI: -0.09 to 0.21) in all pooled studies. In contrast, the trim and fill method imputed point estimates were 0.14 (95% CI: 0.008 to 0.27).

Meta-analysis report

HbA1c level and adverse effects

The HbA1c levels (Figure 4) and adverse effects (Figure 5) of the pooled studies were evaluated. Here, one study had compared the effects of evogliptin with linagliptin (8), whereas the other three studies had compared the efficiency of evogliptin to sitagliptin (911). Regarding the HbA1c level reduction, evogliptin was non-inferior to sitagliptin/linagliptin with the mean difference of 0.062 (95% CI: -0.092 to 0.215. I2: 0%. P = 0.431). Regarding the adverse effects, the risk ratio was -0.006 (95% CI: -0.272 to 0.260. I2: 1.7%. P = 0.966), indicating no significant difference between evogliptin and linagliptin or sitagliptin in affecting the HbA1c level and adverse effects.

FIGURE 4
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Figure 4 Forest plot for the HbA1c levels. Negative effect sizes denote higher HbA1C levels for the drug sitagliptin/linagliptin and positive effect sizes for evogliptin.

FIGURE 5
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Figure 5 Forest plot for the adverse events. Negative effect sizes denote higher adverse event levels for the drug sitagliptin/linagliptin and positive effect sizes for evogliptin.

Discussion

Our work demonstrated the comparative efficacy of evogliptin with other DPP-4i drugs such as sitagliptin and linagliptin. We observed a negligible overall difference between the comparative efficacy of evogliptin to sitagliptin and linagliptin in managing HbA1c levels and drug-related adverse events in subjects with T2DM.

Because of the atypical symptoms and progressive nature of T2DM, its management is exceptionally challenging for diabetologists worldwide. Being a heterogeneous metabolic disorder, T2DM develops due to the onset of two significant defects in insulin production and the development of resistance toward insulin (16). The impairment eventually influences how the insulin interacts with the β-cells and results in widespread dysfunction. Scheen explained that one of the primary mechanisms that instigate β-cell deficiency is causing dysfunction within the insulin signaling pathways in the pancreas (4). Additionally, the onset of β-cell insufficiency could have also occurred due to inadequate in-utero nutrition as T2DM is highly associated with familial history (for more details see “Thrifty-phenotype hypothesis”) (17). Likewise, the increased presence of blood glucose levels due to impairments in hepatic metabolization and a rise in abdominal adiposity (18) have also been suggested as another mechanism facilitating the onset of T2DM. Together, the metabolic changes related to T2DM and associated co-morbidities eventually worsen the prognostic outcome regarding morbidity and mortality related.

For this metabolic disorder, many factors have recently intensified DPP-4i class drugs such as evogliptin (8, 11). Firstly, evogliptin promoted selective dipeptidyl peptidase-4 inhibition at a high rate of >80%, even after 36-h of a small dosage (19). Secondly, the improved pharmacokinetic profile of evogliptin allows daily dosing with a high safety profile (reduced adverse events) (10). Thirdly, the administration of drugs is also favored because of its capability to avoid renal metabolism, making it safe for patients suffering from chronic nephropathy. Fourthly, evogliptin has also been widely recommended based on its superior capabilities to reduce blood glucose levels compared to other DPP-4i class drugs (8). For example, Ajmani et al. reported that a 5-mg dosage of evogliptin mediated the HbA1c levels far more strongly than a 100-mg dosage of sitagliptin at 12-week and 24 weeks of administration (9). The authors also mentioned that evogliptin also resulted in a body weight reduction of -0.29 ± 2.2 kg compared to -0.33 ± 2.1 kg for the group receiving sitagliptin at 24 weeks of administration. Similarly, Kim et al. reported the beneficial comparative influence of evogliptin compared to linagliptin in a multicenter randomized controlled trial study. The authors mentioned that evogliptin reduced the levels of N-acetyl β D-glucosaminidase after both 12-week and 24-week treatment (8). Evogliptin reduced HbA1c levels by 0.85 percent after 12 weeks and 0.94 percent after 24 weeks by increasing glycemic index variability. Cercato et al. confirmed that 5-mg evogliptin could achieve the HbA1c lowering effect of 100-mg sitagliptin (10). In comparison, Hong and others demonstrated the non-inferiority of evogliptin to sitagliptin in reducing the level of HbA1c (11). Therefore, when diabetologists face the choice of DPP-4i for long-term glycemic control, the priority of this class of drugs cannot be determined. In this review, several included trials were analyzed. They showed that evogliptin was non-inferior to sitagliptin/linagliptin with a mean difference of 0.062 (95% CI: -0.092 to 0.215. I2: 0%. P = 0.431) regarding the HbA1c level reduction, indicating no significant difference between evogliptin and linagliptin or sitagliptin in affecting the HbA1c level. These results suggested that for diabetologists, evogliptin, and linagliptin or sitagliptin have the same recommendation for reducing HbA1c in T2DM patients.

Besides, an attempt was made to reach a consensus on the drug-related adverse events between evogliptin and sitagliptin/linagliptin. Here, inconclusive evidence regarding the overall adverse event outcome was reported in this review. Cercato and Hong reported that a 100-mg dosage of sitagliptin had a lower adverse event outcome than 5 mg of evogliptin (10, 11). In contrast, Ajmani and Kim demonstrated a reduced adverse event outcome for the evogliptin group and no difference between the evogliptin group as compared to other DPP-4i class drugs, respectively (8, 9). Our meta-analysis backed up the latter findings by reporting an insignificant risk ratio of -0.006 (95% CI: -0.272 to 0.260. I2: 1.7%. P = 0.966) between evogliptin and sitagliptin/linagliptin, indicating no significant difference in affecting the adverse effects. These results indicated that for diabetologists, evogliptin and linagliptin or sitagliptin have the same recommendation for affecting the adverse effects of T2DM patients.

However, there were a few limitations that persisted in our study. Firstly, we failed to register the study in any review repository such as PROSPERO because of the extended registration time of over 1 year and the COVID-19 pandemic, which may cause doubts concerning the validity of this study. Secondly, the scarcity of data with pooled studies might bias the previous interpretation of HbA1c and adverse event outcomes. Here, while three studies had reported the comparative efficacy of evogliptin with other drugs in the DPP-4i class after 12 weeks, one study reported the comparative accuracy after 24 weeks. Despite the lack of observed heterogeneity in the study, a cautious interpretation of these results is highly suggested for readers, and more multicenter randomized controlled studies are needed in the future in open access data repositories. Evaluating these outcomes will help diabetologists establish optimal practical strategies for managing T2DM with DPP-4i class drugs.

Conclusion

Based on limited evidence, this study presents preliminary proof of HbA1c reduction and drug-related adverse events between evogliptin and sitagliptin/linagliptin, and demonstrated that evogliptin was non-inferior to sitagliptin/linagliptin about HbA1c reduction and drug-related adverse events for T2DM patients. The relevant results may contribute to establishing optimum practice guidelines for managing T2DM and its associated complications using DPP-4i class drugs.

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

QT conceived and designed and wrote the paper. WP and LP consulted the literature and analyzed the data. All authors contributed to the article and approved the submitted version.

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.

References

1. Magliano DJ, Sacre JW, Harding JL, Gregg EW, Zimmet PZ, Shaw JE. Young-onset type 2 diabetes mellitus - implications for morbidity and mortality. Nat Rev Endocrinol (2020) 16(6):321–31. doi: 10.1038/s41574-020-0334-z

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Awad SF, Toumi AA, Al-Mutawaa KA, Alyafei SA, Ijaz MA, Khalifa SAH, et al. Type 2 diabetes epidemic and key risk factors in Qatar: A mathematical modeling analysis. BMJ Open Diabetes Res Care (2022) 10(2). doi: 10.1136/bmjdrc-2021-002704

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Yitbarek GY, Ayehu GW, Asnakew S, Chanie ES, Bayih WA, Feleke DG, et al. Undiagnosed diabetes mellitus and associated factors among adults in Ethiopia: A systematic review and meta-analysis. Sci Rep (2021) 11(1):24231. doi: 10.1038/s41598-021-03669-y

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Scheen AJ. Pathophysiology of type 2 diabetes. Acta clinica Belgica (2003) 58(6):335–41. doi: 10.1179/acb.2003.58.6.001

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Lee J, Noh S, Lim S, Kim B. Plant extracts for type 2 diabetes: From traditional medicine to modern drug discovery. Antioxid (Basel Switzerland) (2021) 10(1):81. doi: 10.3390/antiox10010081

CrossRef Full Text | Google Scholar

6. Shah BM, Modi P, Trivedi P. Recent medicinal chemistry approach for the development of dipeptidyl peptidase iv inhibitors. Curr medicinal Chem (2021) 28(18):3595–621. doi: 10.2174/0929867327666201012153255

CrossRef Full Text | Google Scholar

7. Deacon CF, Lebovitz HE. Comparative review of dipeptidyl peptidase-4 inhibitors and sulphonylureas. Diabetes Obes Metab (2016) 18(4):333–47. doi: 10.1111/dom.12610

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Kim G, Lim S, Kwon HS, Park IB, Ahn KJ, Park CY, et al. Efficacy and safety of evogliptin treatment in patients with type 2 diabetes: A multicentre, active-controlled, randomized, double-blind study with open-label extension (the evergreen study). Diabetes Obes Metab (2020) 22(9):1527–36. doi: 10.1111/dom.14061

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Ajmani AK, Agrawal A, Prasad BLN, Basu I, Shembalkar J, Manikanth N, et al. Efficacy and safety of evogliptin versus sitagliptin as an add-on therapy in Indian patients with type 2 diabetes mellitus inadequately controlled with metformin: A 24-week randomized, double-blind, non-inferiority, evolution India study. Diabetes Res Clin Pract (2019) 157:107860. doi: 10.1016/j.diabres.2019.107860

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Cercato C, Felício JS, Russo LAT, Borges JLC, Salles J, Muskat P, et al. Efficacy and safety of evogliptin in the treatment of type 2 diabetes mellitus in a Brazilian population: A randomized bridging study. Diabetol Metab Syndr (2019) 11:107. doi: 10.1186/s13098-019-0505-z

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Hong SM, Park CY, Hwang DM, Han KA, Lee CB, Chung CH, et al. Efficacy and safety of adding evogliptin versus sitagliptin for metformin-treated patients with type 2 diabetes: A 24-week randomized, controlled trial with open label extension. Diabetes Obes Metab (2017) 19(5):654–63. doi: 10.1111/dom.12870

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Luo H, Li D, Gao F, Hong P, Feng W. A meta-analysis of neonatal outcomes in pregnant women with immune thrombocytopenic purpura. J Obstet Gynaecol Res (2021) 47(9):2941–53. doi: 10.1111/jog.14890

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Ma M, Liang S, Zhu J, Dai M, Jia Z, Huang H, et al. The efficacy and safety of bivalirudin versus heparin in the anticoagulation therapy of extracorporeal membrane oxygenation: A systematic review and meta-analysis. Front Pharmacol (2022) 13:771563. doi: 10.3389/fphar.2022.771563

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Shi L, Lin L. The trim-and-Fill method for publication bias: Practical guidelines and recommendations based on a Large database of meta-analyses. Medicine (2019) 98(23):e15987. doi: 10.1097/md.0000000000015987

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Park J, Park SW, Yoon KH, Kim SR, Ahn KJ, Lee JH, et al. Efficacy and safety of evogliptin monotherapy in patients with type 2 diabetes and moderately elevated glycated haemoglobin levels after diet and exercise. Diabetes Obes Metab (2017) 19(12):1681–7. doi: 10.1111/dom.12987

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Henriksen EJ, Diamond-Stanic MK, Marchionne EM. Oxidative stress and the etiology of insulin resistance and type 2 diabetes. Free Radical Biol Med (2011) 51(5):993–9. doi: 10.1016/j.freeradbiomed.2010.12.005

CrossRef Full Text | Google Scholar

17. Hales CN, Barker DJ. Type 2 (Non-Insulin-Dependent) diabetes mellitus: The thrifty phenotype hypothesis. 1992. Int J Epidemiol (2013) 42(5):1215–22. doi: 10.1093/ije/dyt133

CrossRef Full Text | Google Scholar

18. Misra A, Ganda OP. Migration and its impact on adiposity and type 2 diabetes. Nutr (Burbank Los Angeles County Calif) (2007) 23(9):696–708. doi: 10.1016/j.nut.2007.06.008

CrossRef Full Text | Google Scholar

19. Gu N, Park MK, Kim TE, Bahng MY, Lim KS, Cho SH, et al. Multiple-dose pharmacokinetics and pharmacodynamics of evogliptin (Da-1229), a novel dipeptidyl peptidase iv inhibitor, in healthy volunteers. Drug Design Dev Ther (2014) 8:1709–21. doi: 10.2147/dddt.S65678

CrossRef Full Text | Google Scholar

Keywords: diabetes, glucose intolerance, dipeptidyl peptidase-4 inhibitor, adverse events, metabolic

Citation: Tang Q, Pan W and Peng L (2022) The efficacy and safety of evogliptin for type 2 diabetes mellitus: A systematic review and meta-analysis. Front. Endocrinol. 13:962385. doi: 10.3389/fendo.2022.962385

Received: 06 June 2022; Accepted: 21 July 2022;
Published: 19 August 2022.

Edited by:

Ihtisham Bukhari, Henan Provincial People’s Hospital, China

Reviewed by:

Z Chen, China Pharmaceutical University, China
Tao Ding, Second Military Medical University, China

Copyright © 2022 Tang, Pan and Peng. 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: Qizhi Tang, xnhzyytang@163.com

Disclaimer: 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.