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Healthcare Engineering JO. Retracted: A Study on Fucosyltransferase 2 Gene Polymorphism and Secretion Status Related to Neonatal Necrotizing Enterocolitis. JOURNAL OF HEALTHCARE ENGINEERING 2023; 2023:9873752. [PMID: 37946916 PMCID: PMC10631993 DOI: 10.1155/2023/9873752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 10/31/2023] [Indexed: 11/12/2023]
Abstract
[This retracts the article DOI: 10.1155/2021/7219850.].
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Necrotizing Enterocolitis: The Role of Hypoxia, Gut Microbiome, and Microbial Metabolites. Int J Mol Sci 2023; 24:ijms24032471. [PMID: 36768793 PMCID: PMC9917134 DOI: 10.3390/ijms24032471] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 01/15/2023] [Accepted: 01/17/2023] [Indexed: 02/01/2023] Open
Abstract
Necrotizing enterocolitis (NEC) is a life-threatening disease that predominantly affects very low birth weight preterm infants. Development of NEC in preterm infants is accompanied by high mortality. Surgical treatment of NEC can be complicated by short bowel syndrome, intestinal failure, parenteral nutrition-associated liver disease, and neurodevelopmental delay. Issues surrounding pathogenesis, prevention, and treatment of NEC remain unclear. This review summarizes data on prenatal risk factors for NEC, the role of pre-eclampsia, and intrauterine growth retardation in the pathogenesis of NEC. The role of hypoxia in NEC is discussed. Recent data on the role of the intestinal microbiome in the development of NEC, and features of the metabolome that can serve as potential biomarkers, are presented. The Pseudomonadota phylum is known to be associated with NEC in preterm neonates, and the role of other bacteria and their metabolites in NEC pathogenesis is also discussed. The most promising approaches for preventing and treating NEC are summarized.
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Hu M, Zhang X, Li J, Chen L, He X, Sui T. Fucosyltransferase 2: A Genetic Risk Factor for Intestinal Diseases. Front Microbiol 2022; 13:940196. [PMID: 35923409 PMCID: PMC9339987 DOI: 10.3389/fmicb.2022.940196] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 06/20/2022] [Indexed: 12/26/2022] Open
Abstract
The fucosyltransferase 2 gene (FUT2) mediates the synthesis of histoblood group antigens (HBGA) that occur in vivo from multiple organs, particularly on the surface of intestinal epithelial cells and body fluids. To date, many studies have demonstrated that the interaction of HBGA with the host microbiota is the cause of pathogenesis of intestinal diseases, making FUT2 non-secretor a risk factor for inflammatory bowel disease (IBD) due to the lack of HBGA. As HBGA also acts as an attachment site for norovirus (NoV) and rotavirus (RV), the non-secretor becomes a protective factor for both viral infections. In addition, the interaction of norovirus and rotavirus with symbiotic bacteria has been found to play an important role in regulating enteroviral infection in IBD. Given the current incomplete understanding of the complex phenomenon and the underlying pathogenesis of intestinal diseases such as IBD, it has recently been hypothesized that the FUT2 gene regulates intestinal bacteria through attachment sites, may help to unravel the role of FUT2 and intestinal flora in the mechanism of intestinal diseases in the future, and provide new ideas for the prevention and treatment of intestinal diseases through more in-depth studies.
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Saturio S, Nogacka AM, Alvarado-Jasso GM, Salazar N, de los Reyes-Gavilán CG, Gueimonde M, Arboleya S. Role of Bifidobacteria on Infant Health. Microorganisms 2021; 9:2415. [PMID: 34946017 PMCID: PMC8708449 DOI: 10.3390/microorganisms9122415] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 11/19/2021] [Accepted: 11/21/2021] [Indexed: 12/19/2022] Open
Abstract
Bifidobacteria are among the predominant microorganisms during infancy, being a dominant microbial group in the healthy breastfed infant and playing a crucial role in newborns and infant development. Not only the levels of the Bifidobacterium genus but also the profile and quantity of the different bifidobacterial species have been demonstrated to be of relevance to infant health. Although no definitive proof is available on the causal association, reduced levels of bifidobacteria are perhaps the most frequently observed alteration of the intestinal microbiota in infant diseases. Moreover, Bifidobacterium strains have been extensively studied by their probiotic attributes. This review compiles the available information about bifidobacterial composition and function since the beginning of life, describing different perinatal factors affecting them, and their implications on different health alterations in infancy. In addition, this review gathers exhaustive information about pre-clinical and clinical studies with Bifidobacterium strains as probiotics in neonates.
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Affiliation(s)
- Silvia Saturio
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias (IPLA-CSIC), 33300 Villaviciosa, Spain; (S.S.); (A.M.N.); (G.M.A.-J.); (N.S.); (C.G.d.l.R.-G.)
- Diet, Human Microbiota and Health Group, Institute of Health Research of the Principality of Asturias (ISPA), 33011 Oviedo, Spain
| | - Alicja M. Nogacka
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias (IPLA-CSIC), 33300 Villaviciosa, Spain; (S.S.); (A.M.N.); (G.M.A.-J.); (N.S.); (C.G.d.l.R.-G.)
- Diet, Human Microbiota and Health Group, Institute of Health Research of the Principality of Asturias (ISPA), 33011 Oviedo, Spain
| | - Guadalupe M. Alvarado-Jasso
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias (IPLA-CSIC), 33300 Villaviciosa, Spain; (S.S.); (A.M.N.); (G.M.A.-J.); (N.S.); (C.G.d.l.R.-G.)
| | - Nuria Salazar
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias (IPLA-CSIC), 33300 Villaviciosa, Spain; (S.S.); (A.M.N.); (G.M.A.-J.); (N.S.); (C.G.d.l.R.-G.)
- Diet, Human Microbiota and Health Group, Institute of Health Research of the Principality of Asturias (ISPA), 33011 Oviedo, Spain
| | - Clara G. de los Reyes-Gavilán
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias (IPLA-CSIC), 33300 Villaviciosa, Spain; (S.S.); (A.M.N.); (G.M.A.-J.); (N.S.); (C.G.d.l.R.-G.)
- Diet, Human Microbiota and Health Group, Institute of Health Research of the Principality of Asturias (ISPA), 33011 Oviedo, Spain
| | - Miguel Gueimonde
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias (IPLA-CSIC), 33300 Villaviciosa, Spain; (S.S.); (A.M.N.); (G.M.A.-J.); (N.S.); (C.G.d.l.R.-G.)
- Diet, Human Microbiota and Health Group, Institute of Health Research of the Principality of Asturias (ISPA), 33011 Oviedo, Spain
| | - Silvia Arboleya
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias (IPLA-CSIC), 33300 Villaviciosa, Spain; (S.S.); (A.M.N.); (G.M.A.-J.); (N.S.); (C.G.d.l.R.-G.)
- Diet, Human Microbiota and Health Group, Institute of Health Research of the Principality of Asturias (ISPA), 33011 Oviedo, Spain
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Zhao T, Dai H. Tumor Region Location and Classification Based on Fuzzy Logic and Region Merging Image Segmentation Algorithm. JOURNAL OF HEALTHCARE ENGINEERING 2021; 2021:1141619. [PMID: 34721822 PMCID: PMC8550836 DOI: 10.1155/2021/1141619] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/03/2021] [Accepted: 08/11/2021] [Indexed: 11/23/2022]
Abstract
Early diagnosis of tumor plays an important role in the improvement of treatment and survival rate of patients. However, breast tumors are difficult to be diagnosed by invasive examination, so medical imaging has become the most intuitive auxiliary method for breast tumor diagnosis. Although there is no universal perfect method for image segmentation so far, the consensus on the general law of image segmentation has produced considerable research results and methods. In this context, this paper focuses on the breast tumor image segmentation method based on CNN and proposes an improved DCNN method combined with CRF. This method can obtain the information of multiscale and pixels better. The experimental results show that, compared with DCNN without these methods, the segmentation accuracy is significantly improved.
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Affiliation(s)
- Tianyu Zhao
- Medical Technology Department, Qiqihar Medical University, Qiqihar 161006, Heilongjiang, China
| | - Hang Dai
- Foreign Language Department, Qiqihar Medical University, Qiqihar 161006, Heilongjiang, China
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