Добавил:
Sekretar
kiopkiopkiop18@yandex.ru
t.me/Prokururor I Вовсе не секретарь, но почту проверяю
Опубликованный материал нарушает ваши авторские права? Сообщите нам.
Вуз:
Предмет:
Файл:Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_5533_Библиотеки_им_академика_М_И_Перельмана.pdf
X
- •Acknowledgements
- •Chapter 3
- •Chapter 4
- •Chapter 5
- •Chapter 6
- •Chapter 7
- •Editor biographies
- •Vivek Kumar Chaturvedi
- •Anurag Kumar Singh
- •Jay Singh
- •Dawesh Prakash Yadav
- •Short description about chapters
- •Chapter 1
- •Chapter 2
- •Chapter 8
- •Chapter 9
- •Chapter 10
- •Chapter 11
- •Chapter 12
- •List of contributors
- •Introduction
- •1.1 Introduction
- •1.2 Nanotechnology in medical science
- •1.2.1 Nanomaterials in drug delivery
- •1.2.2 Use of nanomaterials in designing diagnostic nanosensors
- •1.2.3 Nanomaterials as theranostics
- •1.3 Artificial intelligence in medical science
- •1.3.1 Machine learning in diagnostics
- •1.3.2 Natural language processing in healthcare
- •1.3.3 Predictive analytics in patient care
- •1.4.1 Nanoscience in controlled drug release in the GI tract
- •1.4.3 Nanotechnology in gastrointestinal endoscopy
- •1.4.4 Nano-biotechnology in gastrointestinal cancer
- •1.5 Role of nanoparticles for the treatment of gastric cancer
- •1.6 Artificial intelligence in hepatitis and chronic liver disease
- •1.7 Artificial intelligence applications for clinical decisions support
- •1.9 Nanomedicines for liver fibrosis
- •1.10 Artificial intelligence-based colonoscopy
- •1.12 Summary and conclusions
- •Acknowledgments
- •References
- •2.1 Introduction
- •2.2 Causes
- •2.3 Mechanism
- •2.4 Diagnosis
- •2.5 Prognosis
- •2.6 Present methods of detection
- •2.7 Biosensors
- •2.7.1 Components of biosensors
- •2.7.2 Types of biosensors
- •2.7.3 Enzyme based biosensors
- •2.7.5 Immunosensors
- •2.7.6 Microbial biosensors
- •2.7.7 DNA-based biosensors
- •2.7.8 Phage sensors
- •2.7.9 Optical biosensors
- •2.7.10 Cantilever-based biosensors
- •2.7.11 Bio-MEMS
- •2.8 Physical biosensors
- •2.8.1 Thermometric biosensors
- •2.8.2 Acoustic biosensors
- •2.8.3 Magnetic biosensors
- •2.8.4 Wearable skins as biosensors
- •2.9 Electrochemical biosensors
- •2.9.1 Potentiometric
- •2.9.2 Coulometry methods
- •2.9.3 Conductometry methods
- •2.9.4 Potentiometric titration
- •2.10 Materials for biosensors
- •2.10.1 Nanomaterials for biosensors
- •2.10.2 Gastrointestinal diseases (GIDs) biosensor
- •2.11 Summary and future perspectives
- •3.1 Introduction
- •3.2 Challenges in drug delivery to the GI tract
- •3.2.1 Residence time
- •3.2.4 Metabolism in the GI tract
- •3.3 Role of nanoscience in drug delivery
- •3.3.2 Targeted drug delivery
- •3.3.3 Increased bioavailability
- •3.3.4 Reduced toxicity and side effects
- •3.3.5 Imaging and diagnostic capabilities
- •3.3.6 Drug designing
- •3.3.7 Delivery system
- •3.4 Methods of nanomedicine formulation
- •3.5 Drug release strategies
- •3.5.1 Active targeting strategies
- •3.5.2 Stimuli-based delivery strategy
- •3.5.3 pH-dependent drug release
- •3.5.4 ROS-dependent drug release
- •3.5.5 Time-dependent dosage forms
- •3.5.6 Gastro retentive strategies
- •3.5.7 Photothermal and photodynamic approach
- •3.6 Types of nanoparticles in drug delivery
- •3.6.1 Liposomes
- •3.8 Application of AI in GI disease
- •3.9 Future perspectives and challenges
- •3.6.2 Polymeric nanoparticles
- •3.6.3 Metallic nanoparticles
- •3.6.4 Quantum dots
- •3.7 Approved nanomedicines
- •3.9.1 Diagnostics
- •3.9.2 Individualized treatment
- •3.9.3 Proactive patient monitoring
- •3.9.4 Decision support systems
- •3.9.5 Biomarker discovery and therapeutic development
- •3.9.6 Patient outcomes and quality of life
- •3.9.7 Regulation and ethical issues
- •3.10 Conclusion
- •References
- •4.1 Introduction
- •4.2 Challenges and barriers in drug delivery
- •4.3 Drugs used in IBD
- •4.4 Novel drug delivery system for inflammatory bowel disease
- •4.4.1 Vesicular delivery system
- •4.4.2 Nanoparticle drug delivery system
- •4.5 pH-dependent nano-delivery systems
- •4.6 Inorganic nanoparticles
- •4.7 Prodrugs based
- •4.8 Hybrid drug delivery systems
- •4.9 Enteric coated formulations
- •4.10 RNA interference-based novel drug delivery
- •4.11 Toxicity profiling of IBD
- •4.11.1 Corticosteroids
- •4.11.2 Immuno modulators
- •4.11.3 Biologic therapies
- •4.11.4 JAK inhibitors
- •4.11.5 Immune dysregulation in IBD
- •4.11.6 Gastrointestinal effects
- •4.11.7 Antibiotics
- •4.11.8 Cyclosporine
- •4.11.10 Surgery-related complications
- •4.11.11 Increased risk of colorectal cancer
- •4.12 Current prospective of IBD
- •4.12.1 Personalized medicine and immunological therapies
- •4.12.2 Disease monitoring and surgical advances
- •4.12.3 Development of IL-6 signaling inhibitors
- •4.12.4 Genome-wide association studies (GWAS)
- •4.12.5 Rare variant analysis
- •4.12.6 Functional genomics and gene expression studies
- •4.12.7 Therapeutic targets
- •4.12.8 Gene-environment interactions
- •4.13 Future prospective of IBD
- •4.13.2 Microparticles-based delivery systems
- •4.13.3 Biological therapies
- •4.13.4 Combination therapies
- •4.14 Conclusion
- •References
- •5.1 Introduction
- •5.2 Nanotechnology
- •5.3 Nanoparticles
- •5.4 Classification of nanoparticles
- •5.4.1 Polymer-based nanoparticles
- •5.4.2 Solid nanoparticles
- •5.4.3 Carbon-based nanoparticles
- •5.4.4 Lipid-based nanoparticles
- •5.4.5 Nanoemulsions
- •5.4.6 Nanoparticles in biomedical applications
- •5.4.7 Characteristics of nanoparticles
- •5.4.8 Characterization of nanoparticles
- •5.5 Intestinal endoscopy
- •5.6 Medical nanotechnology
- •5.6.1 Diagnosis
- •5.6.2 Nanotechnology in the early diagnosis
- •5.6.3 Theragnostic
- •5.6.4 Tissue engineering
- •5.6.5 Targeted imaging and therapeutic in colorectal cancer
- •5.6.6 Gene therapy delivery
- •5.6.7 Colitis therapy
- •5.6.8 Oral delivery of vaccines
- •5.6.9 Mitigation
- •5.6.10 Role in targeted drug delivery
- •5.7 Role of nanotechnology in intestinal tract
- •5.8 Nanotechnological aids
- •5.8.1 Nanopowder
- •5.8.2 Plastic stents
- •5.8.3 Capsule endoscopy
- •5.9 Quality control of nanotechnology
- •5.10 Artificial intelligence in gastrointestinal endoscopy
- •5.11 Future perspectives
- •5.12 Limitations of nanotechnology
- •5.13 Conclusion
- •6.1 Introduction
- •6.2 Global burden of gastric cancer
- •6.3 Gastric cancer risk factors
- •6.3.1 Infection with Helicobacter pylori
- •6.3.2 Age and sex
- •6.3.3 Cigarette smoking
- •6.3.4 Obesity and metabolic dysfunction
- •6.3.5 Dietary factors
- •6.3.6 Alcohol use
- •6.3.7 Medications
- •6.3.8 Host genetics
- •6.4 Other risk factors
- •6.4.1 Epstein–Barr virus infection
- •6.4.2 Autoimmune disorders
- •6.4.3 Ménétrier’s disease
- •6.5 Nanotechnology in cancer diagnostic and therapeutics
- •6.6 Nanotechnology and gastric cancer diagnostic
- •6.6.1 Fluorescence imaging and gastric cancer detection
- •6.6.2 Photoacoustic imaging and gastric cancer detection
- •6.6.3 Computed tomography and gastric cancer detection
- •6.6.4 Magnetic resonance imaging and gastric cancer detection
- •6.6.5 Multimodal imaging and gastric cancer detection
- •6.7 Nanotechnology and gastric cancer management
- •6.7.1 Nanomaterial and chemotherapy
- •6.7.2 Nanomedicine and radiotherapy
- •6.7.3 Phototherapy and gastric cancer detection
- •6.7.4 Combination therapies and theranostics for gastric cancer detection
- •6.8 Challenges and prospectives
- •Acknowledgments
- •References
- •7.1 Introduction
- •7.2 Nanoparticles as drug delivery systems
- •7.2.1 Advantages of nanoparticles for drug delivery
- •7.2.2 Types of nanoparticles used in gastric cancer treatment
- •7.2.3 Targeted drug delivery to gastric cancer cells
- •7.3 Nanoparticles for imaging and diagnosis
- •7.3.1 Nanoparticles in gastric cancer imaging
- •7.3.2 Contrast agents and theranostic nanoparticles
- •7.3.3 Molecular imaging and targeting approaches
- •7.4 Therapeutic applications of nanoparticles in gastric cancer
- •7.4.1 Chemotherapy with nanoparticle formulations
- •7.4.2 Photothermal and photodynamic therapy
- •7.4.3 Immunotherapy and nanoparticles
- •7.4.4 RNA interference (RNAi) and gene therapy
- •7.5 Nanoparticles for combination therapy
- •7.5.1 Synergistic effects of nanoparticle-based combination therapies
- •7.5.2 Sequential and simultaneous delivery of therapeutics
- •7.6 Challenges and limitations of nanoparticle-based therapy
- •7.6.1 Biocompatibility and toxicity concerns
- •7.6.2 Nanoparticle clearance and stability
- •7.6.3 Regulatory aspects and clinical translation
- •7.7.1 Preclinical studies and animal models
- •7.7.2 Clinical trials and human studies
- •7.7.3 Promising results and future directions
- •7.8 Nanoparticles in personalized medicine for gastric cancer
- •7.8.1 Biomarker-driven nanoparticle therapies
- •7.8.2 Individualized treatment approaches
- •7.9 Nanoparticle-based theranostics for gastric cancer
- •7.9.1 Diagnostic and therapeutic integration
- •7.9.2 Multifunctional nanoparticle platforms
- •7.10 Future perspectives and concluding remarks
- •Acknowledgments
- •References
- •8.1 Introduction
- •8.2 Artificial intelligence role in hepatitis disease
- •8.3 Artificial intelligence role in non-alcoholic fatty liver disease
- •8.4 Artificial intelligence role in hepatocellular carcinoma
- •8.5 Conclusion
- •References
- •9.1 Introduction
- •9.2 Overview of clinical decision support
- •9.2.2 Medical imaging and diagnostic services
- •9.2.3 Virtual patient care
- •9.2.4 Patient safety
- •9.2.5 Diagnostic support
- •9.2.6 Medical research and drug discovery
- •9.2.7 Rehabilitation
- •9.2.8 Administrative applications
- •9.3 Types of AI algorithms in CDS
- •9.3.1 Machine learning algorithms
- •9.3.2 Bayesian Gaussian regression
- •9.4 Supervised learning
- •9.4.1 Diagnosis and treatment prediction
- •9.5 Unsupervised learning
- •9.6 Deep learning and neural networks
- •9.7 Natural language processing (NLP) techniques
- •9.7.1 Convolutional neural networks (CNNs) for medical image analysis
- •9.7.2 Recurrent neural networks (RNNs) for signal processing
- •9.8 Current AI-based clinical data support system
- •9.9 Challenges and considerations
- •9.9.1 Current AI-based CDS systems
- •9.10 Regulatory and ethical issues (HIPAA, GDPR, etc)
- •9.11 Challenges for clinical translation
- •References
- •9.12 Obstacles, restrictions, and missing knowledge
- •9.13 Future trends
- •9.14 Future trends and developments
- •9.14.1 Advancements in AI algorithms
- •9.15 Expansion to point-of-care devices
- •9.16 AI-driven drug discovery
- •9.17 AI in public health and epidemiology
- •9.18 Conclusion
- •10.1 Introduction
- •10.2 Developing history of AI
- •10.3 AI’s role in the early detection of GC
- •10.3.1 Screening of GC by AI
- •10.3.2 Accuracy of sampling from early endoscopic diagnosis
- •10.3.3 Digital pathological diagnosis
- •10.4 Role of AI from endoscopic diagnosis to treatment
- •10.5 Artificial intelligence in surgery
- •10.6 Molecules and genes
- •10.7 AI models’ function in prognosis prediction
- •10.7.1 Metastasis and staging prediction
- •10.7.2 AI aided treatment decisions
- •10.7.3 Clinical massive data analysis and prognostic prediction
- •10.8 Survival analysis
- •10.9 Conclusion and future prospects
- •References
- •11.1 Introduction
- •11.2 Stages of liver fibrosis
- •11.3 Etiology of liver fibrosis
- •11.3.1 Chronic viral hepatitis
- •11.3.2 Alcohol-related liver disease (ALD)
- •11.4 Pathogenesis
- •11.5 Symptoms
- •11.6 Diagnosis
- •11.7 Invasive approach
- •11.7.1 Liver biopsy
- •11.7.2 Limitations of liver biopsy
- •11.8 Non-invasive approach
- •11.8.1 Ultrasonographic based
- •11.9 Non-surgical tests
- •11.9.1 Serum biomarkers
- •11.10 Treatment
- •11.11 Limitations of antifibrotic therapy
- •11.12 Role of nanomedicines in the treatment of hepatic fibrosis
- •11.13 Type of nanoparticles currently in use for LF
- •11.13.1 Phytochemical compound for LF
- •11.13.3 siRNA derived NPs
- •11.14 HSC targeted nanoparticle delivery
- •11.15 Advantage of nanomedicine for LF
- •11.15.2 Enhanced drug delivery
- •11.15.4 Reduced adverse effects
- •11.15.5 Improved pharmacokinetic properties
- •11.16 Challenges of nm for LF
- •11.17 Future of nm in the treatment of LF
- •References
- •12.1 Introduction
- •12.2 Medical requirement for colonoscopy
- •12.3 Limitation of colonoscopy
- •12.4 Advancement of colonoscopy
- •12.5 High-definition and ultra-high-definition imaging technology
- •12.6 Computed tomography
- •12.7 Artificial intelligence and machine learning
- •12.8 Advancement in patient experience
- •12.9 Capsule endoscopy
- •12.10 Simulated detection systems
- •12.11 Improved training and workshop programs
- •12.12 Future of colonoscopy
- •12.13 Multi-spectral imaging
- •12.14 Machine learning algorithms integration
- •12.15 Robotic-assisted colonoscopy
- •12.16 Virtual colonoscopy
- •12.17 Tailoring colonoscopy screening
- •12.18 Patient-compatible techniques
- •12.19 Remote monitoring and consultations
- •12.20 Alternative bowel preparation methods
- •12.21 Preventive measures enhancement
- •12.22 Conclusion
- •References

Nanobiotechnology and Artificial Intelligence in Gastrointestinal Diseases
can be transferred into clinical practice. We believe that nanotechnology has a bright
future and advances both imaging and treatments.
Acknowledgments
One of the authors MZ thanks NSF (USA), EIR (USA) and FTTP as seed grant
fund for providing financial support in the form Postdoctoral Research Associate
fellowship.
References
[1] Sahoo S K, Parveen S and Panda J J 2007 The present and future of nanotechnology in
human health care Nanomedicine
[2] Whitesides G M 2003 The right size: nanobiotechnology Nat. Biotechnol. 21 1161–5
[3] Fortina P, Kricka L J, Surrey S and Grodzinski P 2005 Nanobiotechnology: the promise
and reality of new approaches to molecular recognition Trends Biotechnol.
[4] Fakruddin M, Hossain Z and Afroz H 2012 Prospects and applications of nanobiotechnol-
ogy: a medical perspective J. Nanobiotechnol.
[5] Crean C, Lahiff E, Gilmartin N, Diamond D and O’Kennedy R 2011 Polyaniline
nanofibres as templates for the covalent immobilisation of biomolecules Synth. Met.
285–92
[6] Jin C, Wang K, Oppong-Gyebi A and Hu J 2020 Application of nanotechnology in cancer
diagnosis and therapy—a mini-review Int. J. Med. Sci.
[7] Aaron P T, Theresa N W and Hashem B E 2023 Global burden of gastric cancer:
epidemiological trends, risk factors, screening and prevention Nat. Rev. Clin. Oncol.
338–49
[8] IARC Working Group on the Evaluation of Carcinogenic Risk to Humans 1994
Schistosomes, Liver Flukes and Helicobacter pylori (IARC Monographs on the Evaluation
of Carcinogenic Risks to Humans vol 61 (IARC)
[9] Gonzalez C A and Agudo A 2012 Carcinogenesis, prevention and early detection of gastric
cancer: where we are and where we should go Int. J. Cancer.
[10] Plummer M, Franceschi S, Vignat J et al 2015 Global burden of gastric cancer
attributable to Helicobacter pylori Int. J. Cancer
[11] Zamani M, Ebrahimtabar F, Zamani V et al 2018 Systematic review with meta-analysis:
the worldwide prevalence of Helicobacter pylori infection Aliment. Pharmacol. Ther.
868–76
[12] Morgan E, Arnold M, Camargo C et al 2022 The current and future incidence and
mortality of gastric cancer in 185 countries, 2020−40: a population-based modelling study
eClinicalMedicine
[13] Karimi P, Islami F, Anandasabapathy S et al 2014 Gastric cancer: descriptive epidemiol-
ogy, risk factors, screening, and prevention Cancer Epidemiol. Biomarkers Prev.
[14] Praud D, Rota M, Pelucchi C et al 2018 Cigarette smoking and gastric cancer in the
stomach cancer pooling (StoP) project Eur. J. Cancer Prev.
[15] Chen Y, Liu L, Wang X et al 2013 Body mass index and risk of gastric cancer: a meta-
analysis of a population with more than ten million from 24 prospective studies Cancer
Epidemiol. Biomarkers Prev.
47 101404
3 20–31
23 168–73
10 31
161
17 2964–73
20
130 745–53
136 487–90
47
23 700–13
27 124–33
22 1395–408
6-16

Nanobiotechnology and Artificial Intelligence in Gastrointestinal Diseases
[16] Zhao Z, Yin Z and Zhao Q 2017 Red and processed meat consumption and gastric cancer
risk: a systematic review and meta-analysis Oncotarget
[17] Kim S R, Kim K, Lee S A et al 2019 Effect of red, processed, and white meat consumption
on the risk of gastric cancer: an overall and dose–response meta-analysis Nutrients
[18] Na H K and Lee J Y 2017 Molecular basis of alcohol-related gastric and colon cancer Int.
J. Mol. Sci.
[19] Deng W, Jin L, Zhuo H et al 2021 Alcohol consumption and risk of stomach cancer: a
meta-analysis Chem. Biol. Interact.
[20] Oba M, Miwa K, Fujimura T et al 2008 Chemoprevention of glandular stomach carcino-
genesis through duodenogastric reflux in rats by a COX-2 inhibitor Int. J. Cancer
1491–8
[21] Huang X Z, Chen Y, Wu J et al 2017 Aspirin and non-steroidal anti-inflammatory drugs
use reduce gastric cancer risk: a dose-response meta-analysis Oncotarget
[22] Gullo I, van der Post R S and Carneiro F 2021 Recent advances in the pathology of
heritable gastric cancer syndromes Histopathology
[23] Capelle L G, Van Grieken N C, Lingsma H F et al 2010 Risk and epidemiological time
trends of gastric cancer in Lynch syndrome carriers in the Netherlands Gastroenterology
487–92
[24] Oliveira C, Seruca R and Carneiro F 2006 Genetics, pathology, and clinics of familial
gastric cancer Int. J. Surg. Pathol
[25] Camargo M C, Murphy G, Koriyama C et al 2011 Determinants of Epstein–Barr virus-
positive gastric cancer: an international pooled analysis Br. J. Cancer
[26] Bizzaro N and Antico A 2014 Diagnosis and classification of pernicious anemia
Autoimmun. Rev.
[27] Zamcheck N et al 1955 Occurrence of gastric cancer among patients with pernicious anemia
at the Boston City hospital N. Engl. J. Med.
[28] Lahner E, Dilaghi E, Cingolani S et al 2022 Gender-sex differences in autoimmune atrophic
gastritis Transl Res.
[29] Landgren A M, Landgren O, Gridley G et al 2011 Autoimmune disease and subsequent risk
of developing alimentary tract cancers among 4.5 million US male veterans Cancer
1163–71
[30] Wolfsen H C, Carpenter H A and Talley N J 1993 Menetrier’s disease: a form of
hypertrophic gastropathy or gastritis? Gastroenterology
[31] Madsen L G, Taskiran M, Madsen J L and Bytzer P 1999 Ménétrier’s disease and
Helicobacter pylori: normalization of gastrointestinal protein loss after eradication therapy
Dig. Dis. Sci.
[32] Popescu R C, Fufă M O and Grumezescu A M 2015 Metal-based nanosystems for
diagnosis Rom. J. Morphol. Embryol 56 635–49
[33] Singh R 2019 Nanotechnology based therapeutic application in cancer diagnosis and
therapy 3 Biotech
[34] Wan X, Song Y, Song N et al 2016 The preliminary study of immune superparamagnetic
iron oxide nanoparticles for the detection of lung cancer in magnetic resonance imaging
Carbohydr. Res.
[35] Jafari A, Salouti M, Shayesteh S F et al 2015 Synthesis and characterization of Bombesin-
superparamagnetic iron oxide nanoparticles as a targeted contrast agent for imaging of
breast cancer using MRI Nanotechnology
18 1116
336 109365
14 21–33
13 565–8
252 1103–10
248 1–10
44 2307–12
9 415
419 33–40
26 075101
8 30563–75
11 826
1123
2003 4781–95
78 125–47
138
105 38–43
117
104 1310–9
6-17

Nanobiotechnology and Artificial Intelligence in Gastrointestinal Diseases
[36] Parhi P, Mohanty C and Sahoo S K 2012 Nanotechnology-based combinational drug
delivery: an emerging approach for cancer therapy Drug Discov. Today
[37] Alexis F, Rhee J W, Richie J P et al 2008 New frontiers in nanotechnology for cancer
treatment Urol. Oncol.
[38] Kim K Y 2007 Nanotechnology platforms and physiological challenges for cancer
therapeutics Nanomedicine
[39] Kawasaki E S and Player A 2005 Nanotechnology, nanomedicine, and the development of
new, effective therapies for cancer Nanomedicine
[40] Bourzac K 2012 Nanotechnology: carrying drugs Nature 491 S58–60
[41] Grossman J H and McNeil S E 2012 Nanotechnology in cancer medicine Phys. Today 65
38–42
[42] Vines J B, Yoon J H, Ryu N E et al 2019 Gold nanoparticles for photothermal cancer
therapy Front. Chem.
[43] Davis M E, Zuckerman J E, Choi C H et al 2010 Evidence of RNAi in humans from
systemically administered siRNA via targeted nanoparticles Nature
[44] Li X, Ai S, Lu X et al 2021 Nanotechnology-based strategies for gastric cancer imaging and
treatment RSC Adv.
[45] Gao H, Bao P, Dai S et al 2019 Far-red/near-infrared emissive (1,3-dimethyl)barbituric
acid-based AIEgens for high-contrast detection of metastatic tumors in the lung Chem.
Asian J.
[46] Chen Y, Wang S and Zhang F 2023 Near-infrared luminescence high-contrast in vivo
biomedical imaging Nat. Rev. Bioeng
[47] Aya M, Eiichi T, Hak Soo C et al 2010 Real-time intra-operative near-infrared fluorescence
identification of the extrahepatic bile ducts using clinically available contrast agents Surgery
148 87–95
[48] Ishizawa T, Fukushima N, Shibahara J et al 2009 Real-time identification of liver cancers
by using indocyanine green fluorescent imaging Cancer
[49] Tsujimoto H, Morimoto Y, Takahata R et al 2015 Theranostic photosensitive nano-
particles for lymph node metastasis of gastric cancer Ann. Surg. Oncol.
[50] Wang S H, Chi C W, Cheng H D et al 2018 Photothermal adjunctive cytoreductive surgery
for treating peritoneal metastasis of gastric cancer Small Methods
[51] Shi H, Yan R Q, Wu L Y et al 2018 Tumor-targeting CuS nanoparticles for multimodal
imaging and guided photothermal therapy of lymph node metastasis Acta Biomater.
256–65
[52] Li X J, Zhou J J, Liu C R et al 2017 Stable and biocompatible mushroom beta-glucan
modified gold nanorods for cancer photothermal therapy J. Agric. Food Chem.
[53] Zhu S J, Tian R, Antaris A L et al 2019 Near-infrared-II molecular dyes for cancer imaging
and surgery Adv. Mater.
[54] Tian R, Ma H L, Yang Q L et al 2019 Rational design of a super-contrast NIR-II
fluorophore affords high-performance NIR-II molecular imaging guided microsurgery
Chem. Sci.
[55] Ku G and Wang L H V 2005 Deeply penetrating photoacoustic tomography in biological
tissues enhanced with an optical contrast agent Opt. Lett.
[56] Wang C, Bao C C, Liang S J et al 2014 RGD-conjugated silica-coated gold nanorods on the
surface of carbon nanotubes for targeted photoacoustic imaging of gastric cancer Nanoscale
Res. Lett.
4 871–6
10 326–32
9 10
26 74–85
3 103–10
1 101–9
7 167
11 35392–407
1 60–78
115 2491–504
31 25
30 507–9
17 1044–52
464 1067–70
2 S923–8
2 7
72
65 9529–36
6-18

Nanobiotechnology and Artificial Intelligence in Gastrointestinal Diseases
[57] Kanazaki K, Sano K, Makino A et al 2015 Development of anti-HER2 fragment antibody
conjugated to iron oxide nanoparticles for in vivo HER2-targeted photoacoustic tumor
imaging Nanomedicine
11 2051–60
[58] Liang S J, Li C, Zhang C L et al 2015 CD44v6 monoclonal antibody-conjugated gold
nanostars for targeted photoacoustic imaging and plasmonic photothermal therapy of
gastric cancer stem-like cells Theranostics
5 970–84
[59] Hang K M, Du X J, Yu K H et al 2018 Application of novel targeting nanoparticles
contrast agent combined with contrast-enhanced computed tomography during screening
for early-phase gastric carcinoma Exp. Ther. Med. 15 47–54
[60] Gai J J, Gao Z L, Song L et al 2018 Contrast-enhanced computed tomography combined
with Chitosan–Fe
nanoparticles targeting fibroblast growth factor receptor and vascular
3O4
endothelial growth factor receptor in the screening of early esophageal cancer Exp. Ther.
Med.
15 5344–52
[61] Bakhtiary Z, Saei A A, Hajipour M J et al 2016 Targeted superparamagnetic iron oxide
nanoparticles for early detection of cancer: possibilities and challenges Nanomedicine
12
287–307
[62] Yan X J, Song X Y and Wang Z B 2017 Construction of specific magnetic resonance
imaging/optical dual-modality molecular probe used for imaging angiogenesis of gastric
cancer Artif. Cells, Nanomed. Biotechnol.
45 399–403
[63] Guo H E, Zhang Y X, Liang et al 2019 An inorganic magnetic fluorescent nanoprobe with
favorable biocompatibility for dual-modality bioimaging and drug delivery J. Inorg.
Biochem.
192 72–81
[64] Mahmoudi M, Hofma nn H, Rothen-Rutishauser B et al 2012 Assessing the in vitro
and in vivo toxicity of superparamagnetic iron oxide nanoparticles Chem. Rev.
112
2323–38
[65] Li Z, Yin S, Cheng L et al 2014 Magnetic targeting enhanced theranostic strategy based on
multimodal imaging for selective ablation of cancer Adv. Funct. Mater.
24 2312–21
[66] Yang Z Y, Wang J F, Liu S et al 2019 Tumor-targeting W18O49 nanoparticles for dual-
modality imaging and guided heat-shock-response-inhibited photothermal therapy in
gastric cancer Part. Part. Syst. Charact.
36 12
[67] Cheng C C, Huang C F, Ho A S et al 2013 Novel targeted nuclear imaging agent for gastric
cancer diagnosis: glucose-regulated protein 78 binding peptide-guided 111In-labeled
polymeric, micelles Int. J. Nanomed.
8 1385–91
[68] Shin U, Kim J, Lee J et al 2020 Development of (Cu)–C-64-loaded perfluoropentane
nanodroplet: a potential tumor theragnostic nano-carrier and dual-modality pet-ultrasound
imaging agents Ultrasound Med. Biol.
46 2775–84
[69] Shi B W, Zhang B Y, Zhang Y Q et al 2020 Multifunctional gap-enhanced Raman tags for
preoperative and intraoperative cancer imaging Acta Biomater.
104 210–20
[70] Jang K, Yoon S, Kim S E et al 2014 Novel nanocrystal formulation of megestrol acetate
has improved bioavailability compared with the conventional micronized formulation in
the fasting state Drug Des. Dev. Ther.
8 851–8
[71] Bando H, Shimodaira H, Fujitani K et al 2018 A phase II study of nab-paclitaxel in
combination with ramucirumab in patients with previously treated advanced gastric cancer
Eur. J. Cancer.
91 86–91
[72] Shi J W, Liu S P, Yu Y et al 2019 RGD peptide-decorated micelles assembled from
polymer-paclitaxel conjugates towards gastric cancer therapy Colloids Surf. B
180 58–67
6-19

Nanobiotechnology and Artificial Intelligence in Gastrointestinal Diseases
[73] Li X L, Yu N, Li J et al 2020 Novel ‘carrier-free’ nanofiber codelivery systems with the
synergistic antitumor effect of paclitaxel and tetrandrine through the enhancement of
mitochondrial apoptosis ACS Appl. Mater. Interfaces
[74] Fernandes E, Ferreira D, Peixoto A et al 2019 Glycoengineered nanoparticles enhance the
delivery of 5-fluorouracil and paclitaxel to gastric cancer cells of high metastatic potential
Int. J. Pharm. 570 12
[75] Liu H M, Yuan M H, Liu Y S et al 2021 Self-monitoring and self-delivery of self-assembled
fluorescent nanoparticles in cancer therapy Int. J. Nanomed.
[76] Zhou Y, Sun X Z, Zhou L S and Zhang X Z 2020 pH-sensitive and long-circulation
nanoparticles for near-infrared fluorescence imaging-monitored and chemo-photothermal
synergistic treatment against gastric cancer Front. Pharmacol.
[77] Yang Z, Luo H Y, Cao Z et al 2016 Dual-targeting hybrid nanoparticles for the delivery of
SN38 to Her2 and CD44 overexpressed human gastric cancer Nanoscale
[78] Chang H J, Choi M Y, Cho M et al 2019 Molecular mechanism of chemoresistance and
restoration in human gastric cancer cells J. Clin. Oncol.
[79] Vinardell M P and Mitjans M 2015 Antitumor activities of metal oxide nanoparticles
Nanomaterials
[80] Azimee S, Rahmati M, Fahimi H and Moosavi M A 2020 TiO2nanoparticles enhance the
chemotherapeutic effects of 5-fluorouracil in human AGS gastric cancer cells via autophagy
blockade Life Sci.
[81] Yang C X, Pang X, Chen W H et al 2019 Environmentally responsive dual-targeting
nanotheranostics for overcoming cancer multidrug resistance Sci. Bull.
[82] Liu Y, Zhang P, Li F, Jin X, Li J, Chen W and Li Q 2018 Nanoenhancersmetal-based for
future radiotherapy: radiosensitizing and synergistic effects on tumor cells Theranostics
1824–49
[83] Azizi S, Ghasemi A, Asgarian-Omran H et al 2019 Cerium oxide nanoparticles sensitize
non-small lung cancer cell to ionizing radiation Marmara Pharm. J. 822 307–13
[84] Zhang C, Huang P, Bao L, He M et al 2011 Enhancement of gastric cell radiation
sensitivity by chitosan-modified gold nanoparticles J. Nanosci. Nanotechnol.
[85] Huang P, Yang D P, Zhang C L et al 2011 Protein-directed one-pot synthesis of Ag
microspheres with good biocompatibility and enhancement of radiation effects on gastric
cancer cells Nanoscale
[86] Batooei S, Khajeali A and Khodadadi Islamian J P 2020 Metal-based nanoparticles as
radio-sensitizer in gastric cancer therapy J. Drug Deliv. Sci. Technol.
[87] Ju C Y, Wen Y J, Zhang L P et al 2019 Neoadjuvant chemotherapy based on abraxane/
human neutrophils cytopharmaceuticals with radiotherapy for gastric cancer Small
15 10
[88] Wang Y B, Wu W B, Mao D, Teh C, Wang B and Liu B 2020 Metal-organic framework
assisted and tumor microenvironment modulated synergistic image-guided photo-chemo
therapy Adv. Funct. Mater.
[89] Zuo W, Chen D, Fan Z et al 2020 Design of light/ROS cascade-responsive tumor-
recognizing nanotheranostics for spatiotemporally controlled drug release in locoregional
photo-chemotherapy Acta Biomater.
[90] Yang Z, Wang J, Li X et al 2020 Defeating relapsed and refractory malignancies through a
nano-enabled mitochondria-mediated respiratory inhibition and damage pathway
Biomaterials
5 1004–21
248 9
3 3623–26
30 2002431
111 327–40
229 119580
12 10096–106
16 2487–99
11 14
8 11543–58
37 1
64 705–14
11 9528–35
56 6
8
6-20

Nanobiotechnology and Artificial Intelligence in Gastrointestinal Diseases
[91] Chen J, He G M, Xian G Y et al 2020 Mechanistic biosynthesis of SN-38 coated reduced
graphene oxide sheets for photothermal treatment and care of patients with gastric cancer
J. Photochem. Photobiol., B
[92] Singh M, Harris-Birtill D C C, Zhou Y et al 2016 Application of gold nanorods for
photothermal therapy in ex vivo human oesophagogastric adenocarcinoma J. Biomed.
Nanotechnol.
[93] Zhang A M, Pan S J, Zhang Y H et al 2019 Carbon–gold hybrid nanoprobes for real-time
imaging, photothermal/photodynamic and nanozyme oxidative therapy Theranostics
[94] Apicella M, Corso S and Giordano S 2017 Targeted therapies for gastric cancer: failures
and hopes from clinical trials Oncotarget
[95] Dai X and Tan C 2015 Combination of microRNA therapeutics with small-molecule
anticancer drugs: mechanism of action and co-delivery nanocarriers Adv. Drug Deliv. Rev.
81 184–97
[96] Chen W, Yang S, Wei X et al 2020 Construction of aptamer-siRNA Chimera/PEI/5-FU/
carbon nanotube/collagen membranes for the treatment of peritoneal dissemination of
drug-resistant gastric cancer Adv. Healthcare Mater.
[97] Cheng X J, Fan K L, Wang L et al 2020 TfR1 binding with H-ferritin nanocarrier achieves
prognostic diagnosis and enhances the therapeutic efficacy in clinical gastric cancer Cell
Death Dis
[98] Meng X B, Wang K, Lv L et al 2019 Photothermal/photodynamic therapy with immune-
adjuvant liposomal complexes for effective gastric cancer therapy Part. Part. Syst. Charact.
[99] Deng L Z, Guo W H, Li G X et al 2019 Hydrophobic IR780 loaded sericin nanomicelles for
phototherapy with enhanced antitumor efficiency Int. J. Pharm.
[100] Farjadian F, Ghasemi A, Gohari O et al 2019 Nanopharmaceuticals and nanomedicines
currently on the market: challenges and opportunities Nanomedicine
[101] Nagtegaal I D, Odze R D, Klimstra D et al 2020 Edito WHOCT: the 2019 WHO
classification of tumours of the digestive system Histopathology
[102] Tian R, Ma H L, Zhu S J et al 2020 Multiplexed NIR-II Probes for lymph node-invaded
cancer detection and imaging-guided surgery Adv. Mater.
[103] Zhang W J, Song S C, Wang H X et al 2019 In vivo irreversible albumin-binding near-
infrared dye conjugate as a naked-eye and fluorescence dual-mode imaging agent for lymph
node tumor metastasis diagnosis Biomaterials
[104] Liu S, Jiang X, Tian X et al 2020 A method to measure the denatured proteins in the corona
of nanoparticles based on the specific adsorption of Hsp90ab1 Nanoscale
[105] Yoo J W, Irvine D J, Discher D E and Mitragotri S 2011 Bio-inspired, bioengineered and
biomimetic drug delivery carriers Nat. Rev. Drug Discovery
[106] Wu P, Zhang B, Ocansey D K W, Xu W and Qian H 2020 Extracellular vesicles: a bright
star of nanomedicine Biomaterials
[107] Alipour M, Baneshi M, Hosseinkhani S et al 2020 Recent progress in biomedical
applications of RGD-based ligand: from precise cancer theranostics to biomaterial
engineering: a systematic review J. Biomed. Mater. Res. A
[108] Cheng Z, Al Zaki A, Hui J Z, Muzykantov V R and Tsourkas A 2012 Multifunctional
nanoparticles: cost versus benefit of adding targeting and imaging capabilities Science
903–10
12 481–90
11 13
204 7
9 3443–58
8 57654–69
9
36 9
566 549–56
14 93–126
76 182–8
32 10
217 11
12 15857–68
10 521–35
269 120467
108 839–50
338
6-21

IOP Publishing
Nanobiotechnology and Artificial Intelligence in
Gastrointestinal Diseases
Vivek K Chaturvedi, Anurag Kumar Singh, Jay Singh and Dawesh P Yadav
Chapter 7
Role of nanoparticles for the treatment of
gastric cancer
Ravi Kumar Yadav, Shefali Singh, Zeba Azim, Niraj Kumar Goswami and
Navneet Yadav
The second-leading cause of cancer-related fatalities worldwide is gastric cancer (GC).
The advancement in medicine will probably be linked to the research of cancer biology,
followed by the formation of a customized and molecular-based method for the
administration of anticancer medications. Proper medications for cancerous diseases
rely highly on their timely diagnosis for which in vivo molecular imaging technique is
popular but a trend for a more feasible approach is seen as molecular imaging requires
specialized molecular probes. The use of nanoparticles (NPs) is the current paradigm for
diagnosing and treating GC. With the advent of extensive explorations in the field of
nanotechnology (NT), NPs have been realized to have proficient curative properties for
GC. Since the past decade, extensive research work has been allocated to applications of
NPs in the direction of therapeutics and diagnosis. Several reports have documented
that NPs-based therapeutic agents overcome problems associated with conventional
therapy. However, it seems that perusal of the characteristics of NPs and their
interactive efficacies with biological entities is vital to analyze the potential of NPsbased nanomedicines and NPs-based diagnostic protocols. Today green synthesized
NPs are also used as a potential agent for GC treatment. This study is significant since
NPs might also pose certain side effects and toxicity and these aspects should be well
addressed prior to the utilization of NPs in biological systems. This chapter will
encompass the diverse purview of NPs and how this can be a plausible alternative in the
diagnosis and therapeutic treatment of gastric cancer.
7.1 Introduction
Biotic and abiotic variables contribute to a variety of diseases that impact humans.
These illnesses not only have an effect on day-to-day life but also result in fatalities
doi:10.1088/978-0-7503-6134-7ch7 7-1 ª IOP Publishing Ltd 2024

Nanobiotechnology and Artificial Intelligence in Gastrointestinal Diseases
for people. As a result of the way we live, cancer is increasingly the most common
life-threatening illness in the world. According to Piazuelo and Correa [1], one of the
most prevalent cancer kinds worldwide is GC. Despite the anticipated drop in
incidence, GC still ranks third in mortality and fifth in morbidity among all
diagnosed malignancies, making it a major cause of cancer-related fatalities [2].
The high prevalence and poor prognosis of stomach cancer is a public health
concern, particularly in East Asia [3]. The majority of patients are diagnosed at an
advanced stage, with a poor prognosis and quality of life. The World Health
Organisation (WHO) categorises GC as papillary, tubular, mucinous, or poorly
cohesive carcinomas. However, no accurate biological categorization approach has
been established, and clinical relevance is restricted [4].
Currently, the most common clinical treatments for GC are surgical resection,
chemotherapy, radiation, and molecular targeted therapy [5]. With the discovery of
various molecular pathways in malignancy, molecular targeted therapy has seen
significant progress in recent years. However, only a few targets, like VEGFR-2,
HER2, PD-1, and others, are utilized to create GC medicines [6]. Furthermore, the
most classic small molecule inhibitors act on the active site of the target to impede its
action. The development of targeted therapy for GC is currently limited due to the
scarcity of pharmacological targets and related technology. NT is a novel and
promising technology and its application in various areas like agriculture, industrial,
medicinal, and energy production is appreciable. NT in medicine and healthcare is
referred to as nanomedicine, and it has been utilized to combat some of the most
common ailments, viz., heart-related disease and cancer. Due to its diverse imaging
and therapeutic capabilities, the nano platform has emerged as a potential technique
for cancer theranostics and surgery guidance [7]. Because of their distinctively small
sizes, NPs are used as contrast agents and as carriers for the administration of
medications. For instance, cancer tissue has poor lymphatic drainage and leaky
vasculature, NPs are more likely to infiltrate the interstitium and prolong tumor
retention [8]. Addressing concerns including in vivo stability, rapid clearance of
contrast agents, and the limited effectiveness and adverse effects of the usual treatment
are crucial [9]. Specific ligands were also used to functionalize and modify some
nanomaterials (NMs) (figure 7.1). NPs have diverse application in medicine and ever
Figure 7.1. Applications of NPs in the field of medicine.
7-2

Nanobiotechnology and Artificial Intelligence in Gastrointestinal Diseases
since their pioneering work in the field of medicine, they have performed substantially
in easing several complex protocols of cancer diagnosis, have complemented well for
therapeutics and can prove remarkable in the field of immunization.
7.2 Nanoparticles as drug delivery systems
NPs are regarded as magic bullets due to their special size and shape. Paul Ehrlich’s
idea of a miraculous cure has been refined into nanomedicine. To prepare a targeteddelivery system, a wide range of NPs can be utilized. NPs enable the modification of
parameters such as the solubility, diffusivity, half-life, toxicity, pharmacokinetics,
pharmacodynamics, and biodistribution of medications and therapeutic agents,
adding a new level of engineering and control to medicine.
7.2.1 Advantages of nanoparticles for drug delivery
NT has the potential to aid in the treatment of chronic human ailments by delivering
medications to particular places. In recent decades, effective and safe drug delivery via
nanocarriers has been created. Drug delivery systems (DDSs) based on NMs can deliver
drugs to diseased cells in a controlled releasing way. NMs are nanoscale materials (sizes
ranging from 1 to 100 nm) [10]. NMs and NPs have diverse physicochemical, optical,
conductive, and biological properties that can be adjusted. These distinguishing
characteristics are owing to their small size and vast surface area. NMs display quantum
qualities and unique features due to their huge surface area-to-volume ratio [11]. The use
of NMs and nanostructures as DDSs has sparked interest in nanomedicine [12]. DDS
can deliver medications to specific tissues in a regulated manner. In these nanocarriers,
medications can be chemically conjugated or physically enclosed [13]. Because of their
nanoscale size and vast surface area, NMs can easily permeate cells and interact with
biomolecules. The use of NT in drug delivery can increase absorption, bioavailability,
and stability while addressing the drawbacks of standard DDSs.
7.2.2 Types of nanoparticles used in gastric cancer treatment
In order to promote human health, NPs are increasingly being used in medical
research. Using nanosize materials like biocompatible NPs [14] and nanorobots [15]
for various applications, such as diagnosis, delivery, sensory, or actuation purposes
in a living entity, nanomedicine uses NT to prevent and treat various diseases [16].
Today, the different metallic NMs viz., old, iron, and others, are used for
treatment of GC. Drugs with very low solubility have a number of biopharmaceutical delivery problems, including limited bioaccess after oral intake, decreased ability
to diffuse into the outer membrane, a higher dosage needed for intravenous
administration, and unfavourable side effects occurring before the conventionally
formulated vaccination process.
7.2.3 Targeted drug delivery to gastric cancer cells
Delivery systems have seen tremendous progress in transporting curative agents or
bio-active chemicals to their target site to heal different diseases [17]. There have
7-3

Nanobiotechnology and Artificial Intelligence in Gastrointestinal Diseases
been many successful DDSs in recent years. However, some obstacles must be
addressed, and novel technology must be created to ensure successful drug delivery
to its targeted and specific location [9]. The standard and simple drug delivery
pattern is not fully functioned to remedy GC cells. The target drug delivery is
considered a boon for GC cell diagnosis. As a result, nano-based DDSs are currently
being researched to support the enhanced DDS. Only a handful of NP-based
therapies have been approved for clinical use [18].
7.3 Nanoparticles for imaging and diagnosis
Diagnostic imaging refers to numerous procedures for in-depth study of the body to
determine the causes of sickness or damage and confirm a diagnosis. Developing
unique detection techniques helps early cure of different diseases [19]. The pressing
need for early disease identification and diagnosis drives the improvement of
imaging techniques and contrast agents. Current problems include quick and
comprehensive imaging of tissue microstructures and lesion characterization, which
could be accomplished by developing nontoxic contrast agents with longer circulation duration [20]. NPs-based technology opens a new window for the curing of
diseases. This is made possible via NP-based technology [21]. The novel NP-based
contrast agents working in most common biomedical imaging modalities and
fluorescence imaging are considered essential tools. These traditional tools and
techniques like magnetic resonance imaging (MRI), computerized tomography
(CT), positron emission tomography (PET) and single-photon emission computed
tomography (SPECT) are helpful for detection [22].
7.3.1 Nanoparticles in gastric cancer imaging
The imaging of GC also uses nano-based techniques. Traditional imaging techniques, such as MRI, CT, PET, SPECT, and PET-CT, are frequently utilized in
clinical practise for GC detection and diagnosis. Contrast agents, on the other hand,
are constrained to a single imaging modality, a rapid clearance, and other
unfavourable side effects, as well as poorly tailored biodistribution. The different
NPs with built-in characteristics or functional modifications provide insight into the
creation of new, more effective imaging techniques for the detection of stomach
cancer. The same advantages apply to all of them: real-time imaging, targeted
accumulation in tumors and local metastases, improved tumor-background ratio,
excellent sensitivity, and high resolution. Biomarkers were employed in the instance
of GC tissue to create new NPs. Transmembrane receptors called integrins are
involved in cellular interactions with the extracellular matrix. On the surface of
several cancer cells, particularly stomach cancer, and activated endothelial cells of
tumorneovasculature, αvβ3 integrin is overexpressed. In contrast, it expresses itself
at a remarkably low level in healthy cells [23].
7.3.2 Contrast agents and theranostic nanoparticles
Recently, there has been increased interest in integrating contrast and therapy.
Theranostic medicine is a novel discipline of medicine that incorporates diagnostic
7-4
Соседние файлы в папке Библиотека им академика М.И. Перельмана
