Skip to main content

Vascular adhesion protein-1 expression is reduced in the intestines of infants with necrotizing enterocolitis: an observational research study



Necrotizing enterocolitis (NEC) is an inflammatory bowel disease in preterm neonates with high morbidity and mortality. The only treatment available is supportive with broad-spectrum antibiotics and gastrointestinal rest. Better understanding of the pathogenesis is crucial for the development of new therapies. Vascular adhesion protein-1 (VAP-1), expressed in human blood vessels and lymphatic, plays a crucial role in the pathogenesis of inflammatory diseases in adults. The aim of the study was to investigate the VAP-1 expression in the intestines of infants affected by NEC.


Intestinal tissues from 42 preterm infants with NEC were examined with immunohistochemical staining using antibodies against VAP-1 and semi-automated digital image analysis was performed to determine tissue protein expression of VAP-1 in blood vessels located in the submucosa. Intestinal tissue from 26 neonates that underwent laparotomy and ileostomy due to other intestinal surgical conditions served as controls. Clinical data and protein expression were compared between the NEC-group and Controls.


Mean gestational age was lower in NEC infants compared to controls, 26.6 ± 3.0 gestational weeks versus 36.5 ± 4.0 (p < 0.001) but without any significant difference in median postnatal age at surgery; for NEC 8 (5–27) days and for controls 3 (1–36) days (p = 0.6). Low VAP-1 correlated with increased risk for developing NEC in the logistic regression (p < 0.001). Multiple linear regression showed that both gestational age and NEC were independent predictors of VAP-1 expression.


VAP-1 may play a role in the pathogenesis of NEC. Diminished expression of VAP-1 independent of maturation could indicate arrested vascular development in infants suffering from NEC. Further studies are needed to elucidate the role of VAP-1 in NEC.

Peer Review reports


Necrotizing enterocolitis (NEC) is a life-threatening disease that predominantly affects preterm infants [1, 2]. The risk of NEC is inversely related to birth weight and gestational age (GA) [1]. Advances in neonatal intensive care have improved survival rates among extremely preterm infants which subsequently has increased the population at risk of developing NEC [1,2,3].

Despite decades of research, the only available treatment of NEC is bowel rest and broad-spectrum antibiotics. Nevertheless, 50% of the infants need emergency surgery which is associated with high mortality rates (30–50%), intestinal failure and neurodevelopmental impairment [1, 2, 4,5,6,7,8].

NEC was first described in 1965 [9]. Ever since then several attempts have been made to understand the etiology and pathogenesis of the disease. Current evidence suggests a multifactorial cause of NEC, with both prenatal and postnatal factors [10, 11]. Prematurity is the main risk factor, presumably due to the immaturity of gastrointestinal motility, the intestinal barrier function and immune defences [1, 11]. NEC is characterized by inflammation of the intestines and has been associated with imbalanced gut microbiota development, primarily Gamma-proteobacteria [10, 12]. It is also suggested that the intestinal inflammation is amplified by abnormal microcirculation of the preterm infant [13].

An association exists between oxidative stress and inflammation, and oxidative stress has been shown to play a role in the pathogenesis of NEC [14,15,16]. Newborns and especially preterm infants are more exposed to oxidative stress than adults and children [14].

Vascular adhesion protein-1 (VAP-1) is a member of the copper-containing amine oxidase/semicarbazide-sensitive amine oxidase enzyme family and is expressed as a transmembrane glycoprotein in the vascular wall [17]. VAP-1 is produced in endothelial cells, smooth muscle cells and adipocytes [18] and is notably expressed in human blood vessels under physiological conditions [19, 20]. During inflammation, endothelial VAP-1 is upregulated and its enzymatic activity is indispensable for leukocyte extravasation through endothelium to the tissue [21]. The enzymatic actions of VAP-1 on leukocytes is mediated by the production of hydrogen peroxide [18, 21] that is produced during oxidative stress [14,15,16]. Altered expression of VAP-1 is involved in the pathogenesis of several inflammatory diseases in adult humans [18, 22, 23].

The aim of the study was to investigate the VAP-1 expression in the intestines of preterm infants affected by NEC.

Material and methods

Study population

Preterm infants treated at the neonatal intensive care unit of the Uppsala University Children’s Hospital, Uppsala, Sweden between September 2003 and April 2019 and who underwent laparotomy due to NEC or other diagnosis (controls) were recruited for the study. The study protocol was approved by the Regional Ethical Review Board (Dnr 2019–00437) and written informed consent was obtained from the parents.

NEC was diagnosed by radiological and clinical features and staged according to the criteria of Bell et al. [24]. Necrotic bowel was resected at surgery and NEC diagnosis was confirmed during surgery and by histopathological evaluation. Only samples that represented macroscopically vital tissue from the ends of the resected intestine were selected for further histopathological evaluation.

Infants with intestinal atresia, dysmotility due to intestinal immaturity, aganglionisis, pseudo-obstruction or volvulus served as controls. They underwent laparotomy between 0 and 78 days of life. Samples from the controls were taken from the site of the stoma. Patient data was extracted from the medical records.

Intestinal tissue samples and immunohistochemistry

All samples were sectioned and stained on the same occasion for comparable analysis. Paraffin-embedded sections were placed in a PT Link Pre-treatment Module (Agilent) 97 °C for 20 minutes for deparaffinization, followed by incubation with Target Retrieval Solution, Citrate pH 6 (S236984–2, Agilent) for 30 minutes. Immunohistochemistry was performed in an Autostainer Link 48 (Agilent) using an EnVision FLEX visualization system (Agilent) and counterstained with hematoxylin-eosin. Tissue sections were incubated for 30 minutes at room temperature with primary antibody, a polyclonal rabbit anti-human VAP-1 antibody (1:100, PA5–81910 Thermo Fischer Scientific). Negative control sections were prepared by performing immunostaining procedures without adding primary antibodies. Stained sections were scanned by a digital slide scanner (NanoZoomer S60, Hamamatsu) using the same exposure times. Digitalized sections were examined by NDP.view2 (Hamamatsu), a whole slide viewing software. The same magnification (10 x objective) was used for all the images. Three representative areas per section/patient were exported into three images (size, 23 MP, 6400 × 3616 pixels, type: RGB, format: TIFF). RGB image allowed the range of 255 intensity levels in the three color channels (red, green, blue), no saturated pixels could be observed.

Software and image analysis

Blood vessels were manually selected in the submucosa by identification of typical histological features (Supplemental Fig. 1). Images were manually selected, a total of 204 images were sorted into stacks and saved in TIFF format. From the image regions of interest (ROI), areas containing blood vessels, were identified and selected manually (n = 280). ImageJ [25] was used for semiautomatic image analysis. Higher VAP-1 expression corresponded to higher pixel intensity. Before analysis, the same threshold window was set on all images in order to exclude unspecific low pixel values.

Both the immunohistochemistry and the image analysis were performed blinded.

VAP-1 expression

The analysis of VAP-1 expression was performed using the Analyze Particles tool in ImageJ. Five variables were chosen to describe the characteristics of the digital images.

  • VAP-1 area %: number of pixels in the threshold covered area divided by the total amount of pixels in the image area;

  • VAP-1 mean pixel intensity: mean value of pixel intensity level within the threshold area;

  • VAP-1 median pixel intensity: median intensity value within the threshold area;

  • VAP-1 mode pixel intensity: most frequently occurring pixel intensity value within the threshold area and;

  • VAP-1 max pixel intensity: maximal intensity value within the threshold area.

All the five parameters were estimated for each individual image. The mean values of the corresponding ROI images were calculated in Microsoft Excel. VAP-1 area % was chosen for further analysis as it found to be the most accurate indicator for visual VAP-1 expression (Supplemental Fig. 2). Furthermore, this was the most complex parameter describing VAP-1 expression: it corresponds indirectly to blood vessel density and strongly correlates with intensity levels of VAP-1 (VAP-1 mean pixel intensity) in blood vessels (Supplemental Fig. 3).

Cluster analysis

Clinical data (GA, birth weight, postmenstrual age (PMA) at surgery and postnatal age (PNA) at surgery) were analyzed and automatically sorted by two-dimensional hierarchical clustering (Cluster 3.0 freeware [26]) as previously described [27, 28]. The patients were sorted into groups, and the line between the groups were identified both by visual evaluation and the help of the tree diagrams. All clinical parameters were used and weighed equally in the clustering algorithm. Results were visualized using Java TreeView [29, 30].

Statistical analysis

Statistical analysis was performed in R-studio version 1.4.1717 and Microsoft Excel 2016 version (16.0.13901.20400). P-values were considered statistically significant when < 0.05. All tests of significance were two-tailed. VAP-1 expression was compared using Student’s t-test. Linear regression analysis was performed using Pearson’s correlation. Multiple linear regression analysis was performed to determine whether GA and NEC could predict VAP-1 expression. One-way ANOVA with Tukey’s HSD post-hoc test was performed to compare VAP-1 expression between groups.


Clinical characteristics of the study population

A total of 68 infants were included in the study. The NEC group consisted of 42 infants (26 males and 16 females) and the control group of 26 infants (14 males and 12 females). Mean GA for all infants was 30.4 ± 5.9 weeks and the mean body weight was 1678 ± 1195 g. The mean GA was lower in the NEC group compared to controls 26.6 ± 3.0 gestational weeks versus 36.5 ± 4.0 (p < 0.001) (Fig. 1A). The mean body weight was lower in the NEC group, 918 ± 424 g compared to the controls 2906 ± 1026 g (p < 0.001) (Fig. 1B). PMA at surgery was also found to be lower in the NEC group, 28.8 ± 3.5 gestational weeks compared to 39.1 ± 4.7 gestational weeks in the control infants (p < 0.001) (Fig. 1C). There was no significant difference in PNA at surgery; median PNA for NEC was 8 (5–26) days, and for controls 3 (1–36) days (p = 0.6) (Fig. 1D).

Fig. 1
figure 1

There was a significant difference in (a) gestational age (b) body weight and (c) postmenstrual age between the NEC group and controls. d There was no significant difference in postnatal age at surgery. e VAP-1 expression was significantly lower in the NEC group. NS signifies p > 0.05, * signifies p < 0.05, ** signifies p < 0.01 and *** signifies p < 0.001

VAP-1 expression

The staining showed high specificity to label blood vessels in the submucosa. VAP-1 area % correlated with blood vessel density in the tissue. Mean, median, mode, max pixel intensities described staining characteristics within the ROI and the threshold area, independently to the absolute number of blood vessels. These four variables allowed comparing patients with diverse blood vessel densities. VAP-1 area % was found to be significantly lower in the NEC group (n = 26) compared to controls (n = 16) (p < 0.001) (Fig. 1E). Simple linear regression indicated that both GA and body weight could predict VAP-1 expression as shown in Fig. 2 A-B. Categorical linear regression indicated a significant correlation between the presence of NEC and VAP-1 expression (R = 0.52, F (1, 66) = 23.88, p < 0.05).

Fig. 2
figure 2

Linear regression analysis showed that both (a) gestational age and (b) body weight could predict VAP-1 Area %. c Both gestational age and NEC were independent predictors of VAP-1 Area %

Multiple linear regression was performed to evaluate whether GA and the presence of NEC could predict VAP-1 expression. GA and NEC were independent predictors of VAP-1 expression (Fig. 2C).

In total 12 infants out of 68 died. There was no correlation found between VAP-1 expression and all type mortality (p = 0.17). 11 out of 42 NEC infants died and there were no significant difference in VAP-1 expression between the two groups (p = 0.99) (Supplemental Fig. 4). NEC infants with high VAP-1 expression (VAP-1 area % > 0.056) had similar mortality to NEC infants with low VAP-1 expression (VAP-1 area % < 0,056) (p = 0.73).

Identification of clinical groups with cluster analysis

Investigating patients in multiparametric subgroups allowed us to uncover differences in VAP-1 expression due to NEC status and maturation level. Two-dimensional hierarchical clustering of clinical parameters (GA, body weight, PMA at surgery and PNA at surgery) was performed and identified four unique clinical groups (Fig. 3A) and demonstrated how VAP-1 varies based on maturity within the NEC- and control group. Each group displayed different expression levels of VAP-1 in blood vessels (representative regions of the groups are shown in Fig. 3B-E).

Fig. 3
figure 3

Two dimensional hierarchical clustering generated four clinical groups with visually different microscopic patterns. a Higher intensity of red colour indicates a higher expression of a given clinical parameter. b Microscopic image samples from group 1, (c) group 2, (d) group 3 and (e) group 4. Higher VAP-1 expression is indicated by increased green-blue pixel intensity. GA (gestational age), PMA (postmenstrual age), PNA (postnatal age)

NEC- and control infants were automatically sorted into the following groups using the cluster analysis method (Figs. 3A, 4 and Table 1): Group 1 (n = 13; NEC = 12, controls = 1), preterm NEC infants at 27–34 weeks PMA at surgery; Group 2 (n = 26; NEC = 25, controls = 1), preterm NEC infants at 23–29 weeks PMA at surgery; Group 3 (n = 7; NEC = 4, controls = 3), preterm infants at 31–38 weeks PMA at surgery; Group 4 (n = 22; NEC = 1, controls = 21), term control infants. Significant differences in GA, birth weight, PMA and PNA at surgery were found (Fig. 4A-D) (p < 0.05.). VAP-1 expression was also found to be significantly different between groups (Fig. 4E). NEC infants in group 1 had higher PNA and PMA at surgery when compared with group 2. On average, infants in group 1 were operated 4.7 weeks later than in group 2 (Table 1). However, there were no significant differences in VAP-1 expression between the two groups. Tukey HSD post hoc test showed significant differences between groups as shown in Table 2.

Fig. 4
figure 4

The four groups display unique clinical patterns, and the VAP-1 expression varies between clinical groups. One-way ANOVA revealed that there was a statistically significant difference in (a) gestational age, (b) body weight, (c) postmenstrual age at surgery and (d) postnatal age at surgery between at least two groups. e One-way ANOVA revealed statistically significant difference between at least two groups for VAP-1 Area %. * signifies p < 0.05, ** signifies p < 0.01 and *** signifies p < 0.001

Table 1 Characteristics of subgroups
Table 2 Additional multiple comparisons of all groups to test for differences detected by the cluster analysis


During recent years there has been an increase in NEC as cause of death in preterm infants with mortality rates reaching 30–50% in advanced cases [31,32,33,34]. Besides substantial mortality and morbidity in survivors of NEC [1, 2, 4,5,6,7,8], the disease is associated with a longer hospital stay and high medical costs [35, 36]. Each case of medical or surgical NEC costs 70,000/200000 USD [35] and prolongs hospital stay (+ 60–80 days) [36]. The treatment of NEC is still only supportive and efficient therapies are needed. Hence, better understanding of the pathogenesis of NEC is crucial for the development of new treatment methods.

To our knowledge, this is the first study of VAP-1 expression in the intestines of preterm infants. Previous studies have shown elevated levels of circulating soluble VAP-1 in adult patients with inflammatory diseases [18, 23]. In 2001 Salmi et al [37] demonstrated that gut-derived leucocytes from patients with ulcerative colitis and Crohn’s disease were found to bind well to venules in synovial membrane [37]. Blocking of VAP-1 significantly inhibited the binding of all leukocyte subsets to joint vessels, suggesting an important role of VAP-1 in intestinal inflammation and the development of reactive arthritis in inflammatory bowel disease [37]. In the present study we found that preterm infants affected by NEC had a lower expression of VAP-1 in the blood vessels of the intestines compared to controls.

It has been concluded that the most significant clinical risk factor for NEC is low GA [1]. Our results show that VAP-1 expression could be predicted by GA. Similarly, the presence of NEC was correlated with lower levels of VAP-1 expression. One could argue that the correlation between VAP-1 and NEC is due to the covariation between NEC and GA However, we found no difference in VAP-1 expression between group 1 and group 2. Both of these groups consisted of mainly NEC infants but with different PNA and PMA at surgery. Summarized, VAP-1 expression did not increase during the postnatal maturation of the bowel in patients with NEC (group 1). We speculate that it could be explained by arrested vascular development in infants suffering from NEC. Moreover, multiple regression analysis showed that the addition of NEC as a categorical parameter to the regression model generated a stronger correlation coefficient. Strengthening the hypothesis that NEC in itself is a significant predictor of VAP-1 expression.

As previously described [10, 12] infants with NEC have an altered intestinal microbiota. Lymphocyte migration between blood and tissue is crucial in mounting proper immune responses. Recirculation and mobilization of lymphocytes is required for dispersal of effector lymphocytes into peripheral organs and for contacts between antigen-presenting cells and responding lymphocytes in secondary lymphoid organs. The generation of microbial immune response is the most vital function of this system [38]. One of the main functions of VAP-1 is as an adhesion molecule, assisting in the migration of leukocytes from the bloodstream into the tissue [18, 39]. Recently, VAP-1 deficient mice have been shown to display paucity in Peyer’s patches of the gut and have an impaired response to infections with Staphylococcus aureus and Coxackie B4 (37). The mice also displayed impaired immune responses after oral vaccination. In summary, the VAP-1 deficient mice displayed several traits that would suggest that the lack of VAP-1 caused a weakened immune response [38]. The absence of VAP-1 may be associated with a mild defect in lymphocyte recirculation under physiologic conditions or an impaired host response upon inflammatory challenge [20, 21]. Accordingly, low VAP-1 expression in the intestines of preterm infants may result in an impaired immune response. As a result of the weakened immune system, the infants could develop an imbalanced gut microbiota and intestinal inflammation as found in NEC.

The strengths of this study were the inclusion of a large sample size with intestinal tissue from infants with NEC and control infants that underwent laparotomy due to other intestinal surgical conditions. Moreover, both immunohistochemistry and image analysis was performed blinded increasing the internal validity. A limitation of our study was that the control group of infants were not completely healthy and had a higher GA. However, it was not possible to find a better control group since it was not ethically defensible to take tissue samples from completely healthy infants. There was a higher number of males in the NEC group. This could lower the generalizability of our results. However, previous studies have not been able to conclude that gender is a risk factor for developing NEC [40].


These results suggest that VAP-1 may play a role in the pathogenesis of NEC as we found a correlation between low VAP-1 expression in the blood vessels of the intestines in infants with NEC. Both NEC disease and GA could independently predict VAP-1 expression. VAP-1 expression did not increase during the postnatal maturation of the bowel in patients with NEC. Diminished expression of VAP-1 could indicate arrested vascular development in infants suffering from NEC. Further studies are needed to elucidate the role of VAP-1 in NEC.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.



Vascular adhesion protein – 1


Necrotizing enterocolitis


Gestational age


Postnatal age


Postmenstrual age


Region of interest


  1. Neu J, Walker WA. Necrotizing enterocolitis. N Engl J Med. 2011;364(3):255–64.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Fredriksson F, Engstrand Lilja H. Survival rates for surgically treated necrotising enterocolitis have improved over the last four decades. Acta Paediatr. 2019;108(9):1603–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Yajamanyam PK, Rasiah SV, Ewer AK. Necrotizing enterocolitis: current perspectives. Res Repo Neonatol. 2014;4:31–42.

    Google Scholar 

  4. Stey AM, Kenney BD, Moss RL, Hall BL, Berman L, Cohen ME, et al. A risk calculator predicting postoperative adverse events in neonates undergoing major abdominal or thoracic surgery. J Pediatr Surg. 2015;50(6):987–91.

    Article  PubMed  Google Scholar 

  5. Rich BS, Dolgin SE. Necrotizing Enterocolitis. Pediatr Rev. 2017;38(12):552–9.

    Article  PubMed  Google Scholar 

  6. Elfvin A, Dinsdale E, Wales PW, Moore AM. Low birthweight, gestational age, need for surgical intervention and gram-negative bacteraemia predict intestinal failure following necrotising enterocolitis. Acta Paediatr. 2015;104(8):771–6.

    Article  PubMed  Google Scholar 

  7. Rees CM, Pierro A, Eaton S. Neurodevelopmental outcomes of neonates with medically and surgically treated necrotizing enterocolitis. Arch Dis Child Fetal Neonatal Ed. 2007;92(3):F193–8.

    Article  PubMed  Google Scholar 

  8. Fredriksson F, Nyström N, Waldenvik K, Ördén H, Lindblom M, Paulsson M, et al. Improved outcome of intestinal failure in preterm infants. J Pediatr Gastroenterol Nutr. 2020;71(2):223–31.

    Article  CAS  PubMed  Google Scholar 

  9. Mizrahi A, Barlow O, Berdon W, Blanc WA, Silverman WA. Necrotizing enterocolitis in the premature infant. J Pediatr. 1965;66:697–705.

    Article  CAS  PubMed  Google Scholar 

  10. Normann E, Fahlén A, Engstrand L, Lilja HE. Intestinal microbial profiles in extremely preterm infants with and without necrotizing enterocolitis. Acta Paediatr. 2013;102(2):129–36.

    Article  PubMed  Google Scholar 

  11. Niño DF, Sodhi CP, Hackam DJ. Necrotizing enterocolitis: new insights into pathogenesis and mechanisms. Nat Rev Gastroenterol Hepatol. 2016;13(10):590–600.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Pammi M, Cope J, Tarr PI, Warner BB, Morrow AL, Mai V, et al. Intestinal dysbiosis in preterm infants preceding necrotizing enterocolitis: a systematic review and meta-analysis. Microbiome. 2017;5(1):31.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Watkins DJ, Besner GE. The role of the intestinal microcirculation in necrotizing enterocolitis. Semin Pediatr Surg. 2013;22(2):83–7.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Aceti A, Beghetti I, Martini S, Faldella G, Corvaglia L. Oxidative stress and necrotizing Enterocolitis: Pathogenetic mechanisms, opportunities for intervention, and role of human Milk. Oxidative Med Cell Longev. 2018;2018:7397659.

    Article  Google Scholar 

  15. Aydemir C, Dilli D, Uras N, Ulu HO, Oguz SS, Erdeve O, et al. Total oxidant status and oxidative stress are increased in infants with necrotizing enterocolitis. J Pediatr Surg. 2011;46(11):2096–100.

    Article  PubMed  Google Scholar 

  16. Perrone S, Tataranno ML, Negro S, Cornacchione S, Longini M, Proietti F, et al. May oxidative stress biomarkers in cord blood predict the occurrence of necrotizing enterocolitis in preterm infants? J Matern Fetal Neonatal Med. 2012;25(Suppl 1):128–31.

    Article  CAS  PubMed  Google Scholar 

  17. Li H, Du S, Niu P, Gu X, Wang J, Zhao Y. Vascular adhesion Protein-1 (VAP-1)/Semicarbazide-sensitive amine oxidase (SSAO): a potential therapeutic target for atherosclerotic cardiovascular diseases. Front Pharmacol. 2021;12:679707.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Pannecoeck R, Serruys D, Benmeridja L, Delanghe JR, van Geel N, Speeckaert R, et al. Vascular adhesion protein-1: role in human pathology and application as a biomarker. Crit Rev Clin Lab Sci. 2015;52(6):284–300.

    Article  CAS  PubMed  Google Scholar 

  19. Salmi M, Jalkanen S. Different forms of human vascular adhesion protein-1 (VAP-1) in blood vessels in vivo and in cultured endothelial cells: implications for lymphocyte-endothelial cell adhesion models. Eur J Immunol. 1995;25(10):2803–12.

    Article  CAS  PubMed  Google Scholar 

  20. Salmi M, Jalkanen S. Developmental regulation of the adhesive and enzymatic activity of vascular adhesion protein-1 (VAP-1) in humans. Blood. 2006;108(5):1555–61.

    Article  CAS  PubMed  Google Scholar 

  21. Salmi M, Jalkanen S. Cell-surface enzymes in control of leukocyte trafficking. Nat Rev Immunol. 2005;5(10):760–71.

    Article  CAS  PubMed  Google Scholar 

  22. Forster-Horváth C, Döme B, Paku S, Ladányi A, Somlai B, Jalkanen S, et al. Loss of vascular adhesion protein-1 expression in intratumoral microvessels of human skin melanoma. Melanoma Res. 2004;14(2):135–40.

    Article  PubMed  Google Scholar 

  23. Trivedi PJ, Tickle J, Vesterhus MN, Eddowes PJ, Bruns T, Vainio J, et al. Vascular adhesion protein-1 is elevated in primary sclerosing cholangitis, is predictive of clinical outcome and facilitates recruitment of gut-tropic lymphocytes to liver in a substrate-dependent manner. Gut. 2018;67(6):1135–45.

    Article  CAS  PubMed  Google Scholar 

  24. Bell MJ, Ternberg JL, Feigin RD, Keating JP, Marshall R, Barton L, et al. Neonatal necrotizing enterocolitis. Therapeutic decisions based upon clinical staging. Ann Surg. 1978;187(1):1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. ImageJ [].

  26. de Hoon MJL, Imoto S, Nolan J, Miyano S. Open source clustering software. Bioinformatics. 2004;20(9):1453–4.

    Article  PubMed  Google Scholar 

  27. Markasz L, Savani RC, Sedin G, Sindelar R. The receptor for hyaluronan-mediated motility (RHAMM) expression in neonatal bronchiolar epithelium correlates negatively with lung air content. Early Hum Dev. 2018;127:58–68.

    Article  CAS  PubMed  Google Scholar 

  28. Markasz L, Savani RC, Jonzon A, Sindelar R. CD44 and RHAMM expression patterns in the human developing lung. Pediatr Res. 2021;89(1):134–42.

    Article  CAS  PubMed  Google Scholar 

  29. Juan HF, Huang HC. Bioinformatics: microarray data clustering and functional classification. Methods Mol Biol. 2007;382:405–16.

    Article  CAS  PubMed  Google Scholar 

  30. Saldanha AJ. Java Treeview--extensible visualization of microarray data. Bioinformatics. 2004;20(17):3246–8.

    Article  CAS  PubMed  Google Scholar 

  31. Alice H, Laszlo M, Katharina E, Leif DN, Richard S. The value of autopsy in preterm infants at a Swedish tertiary neonatal intensive care unit 2002–2018: Scientific Reports; 2021.

    Google Scholar 

  32. Stoll BJ, Hansen NI, Bell EF, Walsh MC, Carlo WA, Shankaran S, et al. Trends in care practices, morbidity, and mortality of extremely preterm neonates, 1993-2012. JAMA. 2015;314(10):1039–51.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Berrington JE, Hearn RI, Bythell M, Wright C, Embleton ND. Deaths in preterm infants: changing pathology over 2 decades. J Pediatr. 2012;160(1):49–53.e41.

    Article  PubMed  Google Scholar 

  34. Norman M, Hallberg B, Abrahamsson T, Björklund LJ, Domellöf M, Farooqi A, et al. Association between year of birth and 1-year survival among extremely preterm infants in Sweden during 2004-2007 and 2014-2016. JAMA. 2019;321(12):1188–99.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Ganapathy V, Hay JW, Kim JH. Costs of necrotizing enterocolitis and cost-effectiveness of exclusively human milk-based products in feeding extremely premature infants. Breastfeed Med. 2012;7(1):29–37.

    Article  PubMed  Google Scholar 

  36. Bisquera JA, Cooper TR, Berseth CL. Impact of necrotizing enterocolitis on length of stay and hospital charges in very low birth weight infants. Pediatrics. 2002;109(3):423–8.

    Article  PubMed  Google Scholar 

  37. Salmi M, Jalkanen S. Human leukocyte subpopulations from inflamed gut bind to joint vasculature using distinct sets of adhesion molecules. J Immunol. 2001;166(7):4650–7.

    Article  CAS  PubMed  Google Scholar 

  38. Koskinen K, Nevalainen S, Karikoski M, Hänninen A, Jalkanen S, Salmi M. VAP-1-deficient mice display defects in mucosal immunity and antimicrobial responses: implications for antiadhesive applications. J Immunol. 2007;179(9):6160–8.

    Article  CAS  PubMed  Google Scholar 

  39. Salmi M, Kalimo K, Jalkanen S. Induction and function of vascular adhesion protein-1 at sites of inflammation. J Exp Med. 1993;178(6):2255–60.

    Article  CAS  PubMed  Google Scholar 

  40. Carter BM, Holditch-Davis D. Risk factors for necrotizing enterocolitis in preterm infants: how race, gender, and health status contribute. Adv Neonatal Care. 2008;8(5):285–90.

    Article  PubMed  PubMed Central  Google Scholar 

Download references


The authors wish to acknowledge Fabian Söderdahl, Statisticon AB, Uppsala, Sweden, for his help with the statistical analysis. We would also like to acknowledge Tor Halle, laboratory assistant at the Department of Pathology, Uppsala University Hospital, Sweden, for his help with the immunohistochemistry.


Open access funding provided by Uppsala University. Financial support for this study was provided by HKH Kronprinsessan Lovisas förening för barnsjukvård/Stiftelsen Axel Tielmans minnesfond, Stockholm.

Author information

Authors and Affiliations



BA performed statistical analysis, wrote and edited the manuscript. LM took part in data analysis and in writing and revising the manuscript. HM-F performed the histopathology of all tissue samples and revised the manuscript. HL set up the study, performed data collection, data analysis, writing and revising of the manuscript. All authors have read and approved this version to be published.

Corresponding author

Correspondence to Björn Andersson.

Ethics declarations

Ethics approval and consent to participate

The study protocol was approved by the Regional Ethical Review Board (Dnr 2019–00437) and written informed consent was obtained from the parents. All methods were performed in accordance with the appropriate guidelines and regulations of BMC Pediatrics.

Consent for publication

Not applicable.

Competing interests

The authors declare no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Supplementary Fig. 1.

Microscopic image of a representative tissue sample with original magnification.

Additional file 2: Supplementary Fig. 2.

Significant difference in VAP-1 expression. There were significant differences in a) VAP-1 area % (NEC = 0,065 ± 0,035; controls = 0,11 ± 0,042, t(1,66) = 4.89, p < 0.001), b) VAP-1 mean (NEC = 80,74 ± 3,81; controls = 86,29 ± 6,06, t(1,66) = 4.65, p < 0.001), c) VAP-1 median (NEC = 76,44 ± 3,39; controls = 81,92 ± 6,09, t(1,66) = 4.77, p < 0.001), d) VAP-1 mode (NEC = 64,79 ± 1,07; controls = 62,33 ± 4,09, t(1,66) = 3.72, p < 0.001) and e) VAP-1 max (NEC = 150,99 ± 15,3; controls = 162,45 ± 12,3, t(1,66) = 3.23, p < 0.01). * signifies p < 0.05, ** signifies p < 0.01 and *** signifies p < 0.001.

Additional file 3: Supplementary Fig. 3.

Linear regression indicated a strong correlation between mean VAP-1 expression and VAP-1 area % for a) all included infants (R2 = 0.61, F(1, 66) = 101.4, p < 0.001, n = 68), b) NEC infants (R2 = 0.52, F(1, 40) = 43.69, p < 0.001, n = 42) and for c) control infants (R2 = 0.49, F(1, 24) = 22.88, p < 0.001, n = 26).

Additional file 4: Supplementary Fig. 4.

Difference in VAP-1 expression between alive and deceased NEC infants. No significant difference in VAP-1 Area % was found (Alive = 0.065 ± 0.034; Deceased = 0.065 ± 0.038, t(1,40) = − 0.0061, p = 0.99). NS signifies p > 0.05.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Andersson, B., Markasz, L., Mobini-Far, H. et al. Vascular adhesion protein-1 expression is reduced in the intestines of infants with necrotizing enterocolitis: an observational research study. BMC Pediatr 22, 640 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: