Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Case Report
Case series
Editorial
Erratum
Guest Editorial
Letter to Editor
Letter to the Editor
Media and News
Medial Education
Medical Education
Obituary
Opinion Article
Original Article
Review Article
Short Communication
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Case Report
Case series
Editorial
Erratum
Guest Editorial
Letter to Editor
Letter to the Editor
Media and News
Medial Education
Medical Education
Obituary
Opinion Article
Original Article
Review Article
Short Communication
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Case Report
Case series
Editorial
Erratum
Guest Editorial
Letter to Editor
Letter to the Editor
Media and News
Medial Education
Medical Education
Obituary
Opinion Article
Original Article
Review Article
Short Communication
View/Download PDF

Translate this page into:

Original Article
ARTICLE IN PRESS
doi:
10.25259/IJPP_724_2024

Signal peptide, complementary C1r/C1s, Uegf and Bmp1-epidermal growth factor like domain containing as a screening tool for gestational diabetes mellitus – A prospective study

Department of Biochemistry, SRM Medical College Hospital and Research Centre, SRM Institute of Science and Technology (SRMIST), Chengalpattu, Tamil Nadu, India.
Department of Obstetrics and Gynaecology, SRM Medical College Hospital and Research Centre, SRM Institute of Science and Technology (SRMIST), Chengalpattu, Tamil Nadu, India.

*Corresponding author: V. M. Vinodhini, Department of Biochemistry, SRM Medical College Hospital and Research Center, SRM Institute of Science and Technology (SRMIST), Chengalpattu, Tamil Nadu, India. hs0447@srmist.edu.in

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Subramanian H, Renuka P, Anuradha M, Gayathri B, Arul Senghor KA, Vinodhini VM. Signal peptide, complementary C1r/C1s, Uegf and Bmp1-epidermal growth factor like domain containing as a screening tool for gestational diabetes mellitus – A prospective study. Indian J Physiol Pharmacol. doi: 10.25259/IJPP_724_2024

Abstract

Objectives:

The objectives of this study were as follows: (1) To determine and compare early pregnancy levels of signal peptide, complementary C1r/C1s, Uegf and Bmp1-epidermal growth factor-like domain-containing in gestational diabetes mellitus (GDM) and euglycaemic women. (2) To evaluate early pregnancy, and insulin resistance in GDM and euglycaemic women using the homeostasis model assessment of insulin resistance, quantitative insulin sensitivity check index (QUICKI) and fasting insulin resistance index. (3) To determine and compare early pregnancy levels of lipid profile parameters in GDM and euglycaemic women.

Materials and Methods:

This prospective observational study was conducted over a year, in antenatal women between 10 and 20 weeks of pregnancy. The biochemical analytes were analysed using a Bio-Rad enzyme-linked immunosorbent assay reader. Pregnant women were diagnosed with GDM based on the Diabetes in Pregnancy Study Group India criteria. The pregnant women were then grouped as case and control groups based on the development of GDM.

Results:

The Mann–Whitney U-test was used to compare the data from the two groups. Pregnant women who had early insulin resistance were evaluated using the Chi-square test.

Conclusion:

It has indicated a 10% prevalence of GDM, with a majority being primigravida. The presence of early insulin resistance in women who later went on to develop GDM was detected only by QUICKI.

Keywords

Early pregnancy
Gestational diabetes mellitus
Insulin resistance
Lipid profile
Signal peptide
complementary C1r/C1s
Uegf, and Bmp1-epidermal growth factor-like domain-containing 1

INTRODUCTION

Gestational diabetes mellitus (GDM), characterised by glucose intolerance detected during pregnancy, is a significant complication that can arise during this period. Pancreatic b-cell dysfunction and insulin resistance are thought to be important elements in the etiopathogenesis of GDM.[1]

A foetus exposed to maternal hyperglycaemia during pregnancy develops hyperinsulinemia, increasing the likelihood of macrosomia, neonatal hypoglycaemia, hyperbilirubinemia and other complications.[2] In addition, children born to mothers with GDM have an increased likelihood of developing obesity and a heightened risk of cardiovascular disease (CVD) during adolescence.[3]

GDM is associated with an increased risk of CVD and postpartum metabolic disturbances.[4] According to a recent scientific statement from the American Heart Association, women with GDM face twice the risk of developing CVD. This heightened risk remains significant regardless of whether they later develop postpartum type 2 diabetes mellitus.[5]

Given the serious consequences of GDM, early diagnosis during pregnancy is essential to prevent complications for both the mother and the foetus.[6]

Recently, the cell surface protein signal peptide, complementary C1r/C1s, Uegf and Bmp1-epidermal growth factor-like domain-containing 1 (SCUBE-1) has been identified as a significant marker in vascular biology. SCUBE genes are predominantly expressed in various developing tissues, such as the gonads, central nervous system, dermomyotome, digital mesenchyme and limb buds during embryogenesis.[3]

SCUBE-1 and SCUBE-2 are cell surface proteins expressed by platelets and endothelial cells. Since GDM negatively impacts the placental endothelial lining, SCUBE-1 could serve as a valuable marker for predicting GDM early in pregnancy. Measuring SCUBE-1 levels may aid in the early identification of foetoplacental endothelial dysfunction, associated with maternal and foetal complications.[7]

Previous studies have highlighted the crucial role of SCUBE-1 in detecting hypoxia, endothelial dysfunction and vascular injury in coronary syndrome and ischemic stroke. Changes in the vascular endothelium are central to diabetes-related vascular diseases, which are associated with a pro-inflammatory state, endothelial dysfunction and platelet aggregation.[8]

There is a paucity of research on assessing maternal SCUBE-1 levels in pregnant women, particularly in the setting of GDM.

Therefore, we designed this prospective study to evaluate the utility of SCUBE-1 levels measured in early pregnancy in the detection of GDM.

Markers of insulin resistance and dyslipidaemia were also analysed during the early stages of pregnancy, before the onset of GDM.

MATERIALS AND METHODS

This prospective observational study was conducted over a year, recruiting consecutive antenatal women between 10 and 20 weeks of pregnancy.

Sample size was calculated using the following formula,

n = z2 p q/d2

where, n = sample size

z = 1.96 for 95%

Confidence interval (z2 = 1.96 × 1.96 = 3.84 = 4)

p = Prevalence q = 100−P

d = Precision

Using the study by Rajasekar et al.[9] which reported an overall prevalence of GDM of 16.7%, a sample size of 214 was obtained. Final sample size is 220.

The study setting was the obstetrics outpatient department.

Before commencement of the study, the mandatory peer group approval and ethical approvals were obtained. The study was approved by the Institutional Scientific Committee as well as the Ethical Committee with ethical clearance number (IEC no: SRMIEC-ST0723-531). All participants were briefed about the purpose of the study and its requirements. After the informed consent process, participants’ data, along with fasting plasma and serum samples, were collected in accordance with the guidelines.

A Beckman Coulter autoanalyser and a Bio-Rad enzyme-linked immunosorbent assay (ELISA) reader were used to assess the biochemical analytes required to detect insulin resistance using homeostasis model assessment of insulin resistance (HOMA-IR), quantitative insulin sensitivity check index (QUICKI) and fasting insulin resistance index (FIRI), fasting plasma glucose and dyslipidaemia, respectively.

SCUBE-1 levels were measured using a Bio-Rad ELISA reader after being stored for 1 year at −80°C in a deep freezer.

HOMA-IR = Fasting Insulin (μU/mL) × Fasting Glucose (mg/dL)/405.

HOMA-IR > 2.5 suggests insulin resistance

QUICKI = 1/(log [Fasting Insulin (μU/mL)] + log [Fasting Glucose (mg/dL)])

QUICKI < 0.30: Indicates insulin resistance

FIRI = Fasting Insulin (μU/mL) × Fasting Glucose (mmol/L)/25

FIRI > 2.0: Indicates insulin resistance.

Pregnant women were diagnosed with GDM during the course of their pregnancy based on the Diabetes in Pregnancy Study Group India (DIPSI) criteria. A 2-h postprandial plasma glucose level of ≥140 mg/dL is considered diagnostic for GDM. This means that if a woman’s blood sugar level is >140 mg/dL 2 h after consuming the glucose drink, she would be categorised as having GDM according to the DIPSI criteria. Importantly, DIPSI recommends that an oral glucose tolerance test can be performed using a 75 g glucose load, irrespective of whether the woman is fasting or not, and a 2-h venous plasma glucose value of ≥140 mg/dL is taken as diagnostic of GDM.[10] They were then grouped as case and control groups based on the development of GDM.

According to the DIPSI criteria, 22 women were diagnosed with GDM and categorised as cases. Controls were selected to match the cases in terms of age and gestational age, resulting in a total of 65 pregnant women included in the study.

The results were assessed for normality using the Shapiro-Wilk test, after which the data from both groups were compared using the Mann–Whitney U-test. The Chi-square test was used to assess the presence of early insulin resistance in pregnant women.

RESULTS

Out of the 220 pregnant women, 22 were diagnosed with GDM during the course of pregnancy, indicating a prevalence rate of 10%. The study indicates that 45% of the GDM women were primigravida among cases, aged between 19 and 34 years, with an overall age range of participants being 19–38 years [Table 1].

Table 1: Demographic details of case and control groups.
Demographic details Case (mean±SD) Control (mean±SD)
Age 29.38±4.38 26.06±3.09
Gestational age 14.95±3.58 15.02±3.53
Height 153.95±5.23 155.43±7.92
Weight 60.10±10.79 57.17±10.91
BMI 25.49±3.77 25.17±4.51
Systolic blood pressure 114.76±12.44 108.48±13.00
Diastolic blood pressure 73.62±8.90 72.65±9.57

SD: Standard deviation, BMI: Body mass index

Table 2 shows that there are no significant differences in SCUBE-1 levels between the case and the control groups.

Table 2: Mann–Whitney U-test for comparison of SCUBE-1 levels between GDM and controls in early pregnancy.
Parameter GDM (n=22) Control (n=65) P-value
SCUBE-1 (ng/mL) 61.50 (63.50) 76.50 (37) 0.188

SCUBE-1: Signal peptide, complementary C1r/C1s, Uegf and Bmp1-epidermal growth factor-like domain-containing 1, GDM: Gestational diabetes mellitus. P<0.05 indicates statistical significance. Values were expressed as median (interquartile range)

Table 3 shows that there is no significant difference in insulin resistance between the case and the control group on using HOMA-IR and FIRI.

Table 3: Chi-square test for comparison of insulin resistance between GDM and controls.
Parameters Chi-square value P-value
Homoeostatic model assessment of insulin resistance 3.1 0.08
Quantitative insulin sensitivity check index 5.3 0.02*
Fasting insulin resistance index 2.3 0.12
P<0.05 indicates statistical significance.

The analysis revealed a significant association between insulin resistance in the GDM and control groups using QUICKI.

Table 4 shows that there is no significant difference in lipid profile parameters between the case and the control groups.

Table 4: Mann–Whitney U-test for comparison of lipid profile between GDM and controls in early pregnancy.
Biochemical Parameters GDM n=22 Control n=65 P-value
Total cholesterol (mg/dL) 187.7 (84.75) 213.9 (80.40) 0.230
TGL (mg/dL) 141 (62.75) 100.5 (76.50) 0.420
LDL-C (mg/dL) 108 (70.50) 115.5 (60.73) 0.155
HDL-C (mg/dL) 54 (9.25) 49.5 (28.50) 0.398

TGL: Triglycerides, LDL-C: Low-density lipoprotein-cholesterol, HDL-C: High-density lipoprotein-cholesterol, GDM: Gestational diabetes mellitus. GDM P<0.05 indicates statistical significance. All values were expressed as median (interquartile range)

DISCUSSION

This prospective study, conducted from September 2023 to October 2024, tracked 220 pregnant women from the early pregnancy (10–20 weeks of gestation) [Table 1] through to the end of their pregnancies.

We identified a 10% prevalence of GDM during our analysis. According to Gupte et al., the prevalence of GDM in the Indian population is approximately 18.1%, with variations observed across different geographic regions and populations.[11]

Jain and Kumari have noted a 11.48% prevalence of GDM among Indian women.[12] Bhavadharini et al. have also reported a 14.6% prevalence of GDM in Tamil Nadu, India.[13] Our observations have yielded a reduced incidence of GDM compared to other researchers.

Among our GDM patients, 45% were primigravida in the age group of 19–34 years. Observations by Bhramaramba et al. show 56.9% of GDM women as primigravida.[14] Dash et al., in 2022,[15] observed 38.74% of women with GDM in their study as primigravida. Similarly, Chanda et al.[16] reported a prevalence of 48%, which is comparable to our findings.

SCUBE-1 is predominantly expressed in endothelial cells and platelets, where it plays a critical role in vascular endothelial activation, angiogenesis and haemostasis. It is essential for maintaining vascular integrity and regulation of inflammatory responses. During pregnancy, significant vascular remodelling occurs, particularly in the placenta, highlighting the potential importance of SCUBE-1 in this process.[17]

SCUBE-1 plays a crucial role in endothelial repair, angiogenesis and the regulation of vascular tone. It may support placental development by promoting trophoblast invasion and vascularisation.[18] Elevated levels of SCUBE-1 have been reported in preeclampsia, potentially reflecting endothelial dysfunction and increased vascular stress.[19] In addition, SCUBE-1 acts as a biomarker for endothelial injury and platelet activation. Its elevated levels may also be linked to the endothelial stress and inflammation associated with hyperglycaemia.[20]

We did not observe significant elevations in serum SCUBE-1 levels among GDM patients in early pregnancy, which contrasts with findings from other studies. Bayoglu Tekin et al. reported elevated SCUBE-1 levels in women with GDM during early pregnancy.[8] Similarly, an experimental study by Liu et al. in 2023[21] also observed a significant increase in SCUBE-1 levels in women with GDM. The multifaceted role of SCUBE-1 may add complexity to the interpretation of our results.

During pregnancy, hormones such as human placental lactogen, progesterone and cortisol increase to support foetal growth. These hormones contribute to maternal insulin resistance to ensure a steady supply of glucose for the foetus. In GDM, the pancreatic b-cells ability to enhance insulin secretion is impaired, resulting in hyperglycaemia. Monitoring changes in indices such as HOMA-IR or QUICKI throughout pregnancy can offer valuable insights into the progression of insulin resistance.[22]

The Chi-square test was employed to assess insulin resistance early in pregnancy, before a diagnosis of GDM. While HOMA-IR and FIRI did not show significant results, the analysis using the QUICKI revealed notable differences between the GDM and non-GDM groups in early pregnancy.

Similar to our study, Monod et al. found significant differences in QUICKI analysis between GDM and non-GDM women in early pregnancy, as reported in their 2023 study.[23] However, Song et al. observed elevated HOMA-IR levels in women with GDM during the early stages of pregnancy.[24]

The microvillous membrane of the placenta contains lipoprotein lipase and endothelial lipase, which break down plasma lipoproteins, triglycerides (TG), and phospholipids to release non-esterified fatty acids (NEFAs) into the maternal circulation. These NEFAs can be esterified into TG and phospholipids, oxidised through b-oxidation or converted into eicosanoids before being stored as lipid droplets in syncytiotrophoblasts. In addition, insulin resistance leads to elevated maternal TG and free fatty acids, particularly in obese individuals.[25]

Maternal TG and NEFAs have been associated with foetal fat mass and newborn body weight in GDM, suggesting that alterations in lipid metabolism may be a risk factor for macrosomia in women with this condition.[26]

In our attempt to analyse dyslipidaemia in GDM and control groups during early pregnancy, we found insignificant results. Similar findings were reported by Hossain et al.[27]

On the other hand, O’Malley et al. documented a significant association between dyslipidaemia and GDM in comparison to controls.[28]

The prospective nature of this study is its strength. Experts in the field also suggest the evaluation of insulin resistance during the first trimester of pregnancy itself as a valuable approach.

Large-scale, multicentric approaches will enhance our understanding of the pathogenesis of GDM at an earlier stage. Such efforts will contribute to the development of precision diagnostics for GDM.

CONCLUSION

This prospective analysis of women in early pregnancy revealed a 10% prevalence of GDM based on the DIPSI criteria, with the majority being primigravida. Early insulin resistance in women who later developed GDM was detected exclusively using the QUICKI. No lipid abnormalities were observed in early pregnancy among those who went on to develop GDM. Since there is no significant difference in SCUBE-1 levels between GDM and control participants, SCUBE-1 may not be used as a screening tool to detect early GDM.

Ethical approval:

The research/study was approved by the Institutional Review Board at SRM Medical College Hospital and Research Centre, approval number SRMIEC-ST0723-531, dated 22nd August 2023.

Declaration of patient consent:

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest:

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript, and no images were manipulated using AI.

Financial support and sponsorship: Nil.

References

  1. , , , , , . Novel biomolecules in the pathogenesis of gestational diabetes mellitus. Int J Mol Sci. 2021;22:11578.
    [CrossRef] [PubMed] [Google Scholar]
  2. . Practice bulletin No. 137: Gestational diabetes mellitus. Obstet Gynecol. 2013;122:406-16.
    [CrossRef] [PubMed] [Google Scholar]
  3. , , , , , , et al. Analysis of maternal and neonatal complications in a group of patients with gestational diabetes mellitus. Medicina (Kaunas). 2021;57:1170.
    [CrossRef] [PubMed] [Google Scholar]
  4. , , , , , , et al. Deep insight of the pathophysiology of gestational diabetes mellitus. Cells. 2022;11:2672.
    [CrossRef] [PubMed] [Google Scholar]
  5. , , , , , , et al. Adverse pregnancy outcomes and cardiovascular disease risk: Unique opportunities for cardiovascular disease prevention in women: A scientific statement from the American heart association. Circulation. 2021;143:e902-16.
    [CrossRef] [Google Scholar]
  6. , , , , , , et al. Maternal height, gestational diabetes mellitus and pregnancy complications. Diabetes Res Clin Pract. 2021;178:108978.
    [CrossRef] [PubMed] [Google Scholar]
  7. , , , , , , et al. Domain and functional analysis of a novel platelet-endothelial cell surface protein, SCUBE1. J Biol Chem. 2008;283:12478-88.
    [CrossRef] [PubMed] [Google Scholar]
  8. , , . Evaluation of SCUBE-1 levels as a placental dysfunction marker at gestational diabetes mellitus. Gynecol Endocrinol. 2020;36:417-20.
    [CrossRef] [PubMed] [Google Scholar]
  9. , , , , . Prevalence and factors associated with gestational diabetes mellitus among antenatal women at a rural health center in Vellore. J Assoc Physicians India. 2019;67:42-7.
    [Google Scholar]
  10. , , , , , , et al. Meta-analysis comparing diabetes in pregnancy study group India (DIPSI) vs the international association of the diabetes and pregnancy study groups (IADPSG) criteria for diagnosis of gestational diabetes among Indian population. Taiwan J Obstet Gynecol. 2023;62:498-505.
    [CrossRef] [PubMed] [Google Scholar]
  11. , , , , , , et al. Prevalence and outcomes of gestational diabetes mellitus in Indian women: Insights from a large real-world study over ten years at tertiary care research institute. Int J Diabetes Dev Ctries. 2023;43:511-6.
    [CrossRef] [Google Scholar]
  12. , . A teaching hospital based clinical study of the prevalence of gestational diabetes mellitus and associated risk factors. Int J Acad Med Pharm. 2023;5:1256-60.
    [Google Scholar]
  13. , , , , , , et al. Prevalence of gestational diabetes mellitus in Urban and rural Tamil Nadu using IADPSG and WHO 1999 criteria (WINGS 6) Clin Diabetes Endocrinol. 2016;2:8.
    [CrossRef] [PubMed] [Google Scholar]
  14. , , , . Prevalence of gestational diabetes mellitus along with maternal and fetal outcome in government maternity hospital, Tirupati. Int J Health Sci. 2022;6:4481-93.
    [CrossRef] [Google Scholar]
  15. , , , , . Gestational diabetes mellitus with autoimmune subclinical hypothyroidism in pregnancy in relation to gravida. J Family Med Prim Care. 2022;11:1765-70.
    [CrossRef] [PubMed] [Google Scholar]
  16. , , , , , , et al. Prevalence and predictors of gestational diabetes mellitus in rural Assam: A cross-sectional study using mobile medical units. BMJ Open. 2020;10:e037836.
    [CrossRef] [PubMed] [Google Scholar]
  17. , , , , . Investigation of serum SCUBE-1 level in relation to microvascular complications in patients with type 2 diabetes mellitus. Endocr Abstr. 2018;56:438.
    [CrossRef] [Google Scholar]
  18. , , , , , , et al. Diagnostic value of plasma signal peptide-cub-egf domain-containing protein-1 (SCUBE-1) in an experimental model of acute ischemic stroke. Am J Emerg Med. 2015;33:262-5.
    [CrossRef] [PubMed] [Google Scholar]
  19. , , , . Can signal peptide-CUB-EGF domain-containing protein (SCUBE) levels be a marker of angiogenesis in patients with psoriasis? Arch Dermatol Res. 2017;309:203-7.
    [CrossRef] [PubMed] [Google Scholar]
  20. , , , , , , et al. Retinal neurodegeneration in diabetic patients without diabetic retinopathy. Invest Ophthalmol Vis Sci. 2016;57:6455-60.
    [CrossRef] [PubMed] [Google Scholar]
  21. , . SCUBE1 promotes gestational diabetes mellitus: A bioinformatics and experimental investigation. Biochem Genet. 2024;63:1381-99.
    [CrossRef] [PubMed] [Google Scholar]
  22. , , , . A study of insulin resistance by HOMA-IR and its cut-off value to identify metabolic syndrome in Urban Indian adolescents. J Clin Res Pediatr Endocrinol. 2013;5:245-51.
    [CrossRef] [PubMed] [Google Scholar]
  23. , , , , , , et al. Maternal overweight and obesity and its association with metabolic changes and fetal overgrowth in the absence of gestational diabetes mellitus: A prospective cohort study. Acta Obstet Gynecol Scand. 2024;103:257-65.
    [CrossRef] [PubMed] [Google Scholar]
  24. , , , , , , et al. HOMAIR as a risk factor of gestational diabetes mellitus and a novel simple surrogate index in early pregnancy. Int J Gynecol Obstet. 2022;157:694-701.
    [CrossRef] [PubMed] [Google Scholar]
  25. , , , , , , et al. Placental fatty acid transfer: A key factor in fetal growth. Ann Nutr Metab. 2014;64:247-53.
    [CrossRef] [PubMed] [Google Scholar]
  26. , , , , . Effect of gestational diabetes mellitus on lipid profile: A systematic review and meta-analysis. Open Med (Wars). 2021;17:70-86.
    [CrossRef] [PubMed] [Google Scholar]
  27. , , , , , , et al. Comparison of serum lipid profile between gestational diabetes mellitus and pregnant women with normal glucose tolerance. J Biosci Med. 2020;8:148-59.
    [CrossRef] [Google Scholar]
  28. , , , , , . Maternal obesity and dyslipidemia associated with gestational diabetes mellitus (GDM) Eur J Obstet Gynecol Reprod Biol. 2020;246:67-71.
    [CrossRef] [PubMed] [Google Scholar]
Show Sections

Indian Journal of Physiology and Pharmacology

Copyright Form


Title of the Manuscript: ________________________________________


I/We certify that I/we have participated sufficiently in the intellectual content, conception, and design of this work, or the analysis and interpretation of the data (when applicable), as well as the writing of the manuscript, to take public responsibility for it. I/We agree to have my/our name(s) listed as contributors and confirm that the manuscript represents valid work.

Each author confirms they meet the criteria for authorship as established by the ICMJE. Neither this manuscript nor one with substantially similar content under my/our authorship has been published or is being considered for publication elsewhere, except as described in the covering letter.

I/We certify that all data collected during the study is presented in this manuscript and that no data from the study has been or will be published separately. I/We agree to provide, upon request by the editors, any data/information on which the manuscript is based for examination by the editors or their assignees.

I/We have disclosed all financial interests, direct or indirect, that exist or may be perceived to exist for individual contributors in connection with the content of this manuscript in the cover letter. Sources of outside support for the project are also disclosed in the cover letter.

In accordance with open access principles, I/we grant the Journal the exclusive right to publish and distribute this work under the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license. This license permits others to distribute, transform, adapt, and build upon the material in any medium or format for non-commercial purposes, provided appropriate credit is given to the creator(s). Any adaptations must be shared under the same license terms. The key elements of the CC BY-NC-SA license are:

  • BY: Credit must be given to the original creator(s).
  • NC: Only non-commercial uses of the work are permitted.
  • SA: Adaptations must be shared under the same license terms.

I/We retain academic rights to the material, and the Journal is authorized to:

  1. Grant permission to republish the article in whole or in part, with or without fee.
  2. Produce preprints or reprints and translate the work into other languages for sale or free distribution.
  3. Republish the work in a collection of articles in any mechanical or electronic format.

I/We give the rights to the corresponding author to make necessary changes as requested by the Journal, handle all correspondence on our behalf, and act as the guarantor for the manuscript.

All individuals who have made substantial contributions to the work but do not meet the criteria for authorship are named in the Acknowledgment section with their written permission. If no acknowledgment is provided, it signifies that no substantial contributions were made by non-authors.


Name of the author(s) Signature Date signed Corresponding author?
Yes/No
Yes/No
Yes/No