The laboratory mouse Mus musculus has long been used as a model organism to test hypotheses and treatments related to understanding the mechanisms of disease in humans; however, for these experiments to be relevant, it is important to know the complex ways in which mice are similar to humans and, crucially, the ways in which they differ. In this chapter, an in-depth analysis of these similarities and differences is provided to allow researchers to use mouse models of human disease and primary cells derived from these animal models under the most appropriate and meaningful conditions.Although there are considerable differences between mice and humans, particularly regarding genetics, physiology, and immunology, a more thorough understanding of these differences and their effects on the function of the whole organism will provide deeper insights into relevant disease mechanisms and potential drug targets for further clinical investigation. Using specific examples of mouse models of human lung disease, i.e., asthma, chronic obstructive pulmonary disease, and pulmonary fibrosis, this chapter explores the most salient features of mouse models of human disease and provides a full assessment of the advantages and limitations of these models, focusing on the relevance of disease induction and their ability to replicate critical features of human disease pathophysiology and response to treatment. The chapter concludes with a discussion on the future of using mice in medical research with regard to ethical and technological considerations.

/pdf/the-applicability-of-mouse-models-to-the-study-of-human-4t7ey852yd.pdf

The Applicability of Mouse Models to the Study of Human Disease

Kidney disease is usually "silent" at the early stage but can lead to severe kidney failure later on. The development of bioimaging probes with rapid distribution and long-term retention in the kidney is significant for the precise diagnosis of renal diseases. Here, a strategy for the peptide-mediated delivery and long-term accumulation (>48 h) of second near-infrared window (NIR-II) fluorophores into the kidney is demonstrated. It is shown that both the hepatic-cleared organic molecules and fast renal-cleared ultrasmall nanoparticles can be retained in the kidney after conjugation to the peptide with high polarity. Moreover, a ROS-responsive activatable bilateral NIR-II sensor was designed based on the kidney targeting peptide, which enables both in vivo long-term kidney monitoring and in vitro urine analysis. The capability of the peptide-based sensor to detect early kidney injury and report on kidney dysfunctional progression is particularly crucial for chemotherapy regimen optimization and timely renoprotective intervention during medication.

A Promising NIR-II Fluorescent Sensor for Peptide-Mediated Long-Term Monitoring of Kidney Dysfunction

CT-based radiomics signature for differentiating solitary granulomatous nodules from solid lung adenocarcinoma.

Chronic Kidney Disease (CKD) is a cardinal feature of methylmalonic acidemia (MMA), a prototypic organic acidemia. Impaired growth, low activity, and protein restriction affect muscle mass and lower serum creatinine, which can delay diagnosis and management of renal disease. We have designed an alternative strategy for monitoring renal function based on administration of a pH sensitive MRI agent and assessed this in a mouse model. This protocol produced three metrics: kidney contrast, ~4% for severe renal disease mice compared to ~13% and ~25% for moderate renal disease and healthy controls, filtration fraction (FF), ~15% for severe renal disease mice compared to ~79% and 100% for moderate renal disease and healthy controls, and variation in pH, ~0.45 units for severe disease mice compared to 0.06 and 0.01 for moderate disease and healthy controls. Our results demonstrate that MRI can be used for early detection and monitoring of CKD.

Noninvasive monitoring of chronic kidney disease using pH and perfusion imaging

Purpose To describe the vascularization of peripheral lung carcinoma in CEUS and to compare with B-mode ultrasound (US) and clinical data. Materials and Methods From April 2004 until September 2015, n = 89 patients with peripheral lung carcinoma were investigated by B-mode US and CEUS. The extent (EE: hypoechoic, hyperechoic), homogeneity (HE: homogeneous, inhomogeneous) and time of enhancement (TE) have been defined. Early pulmonary-arterial enhancement (PA) before contrast floating to the thoracic wall was differentiated from simultaneous or delayed bronchial-arterial enhancement (BA). CEUS parameters were compared by B-mode US and histology. Results n = 25 patients had early PA enhancement (TE: 8 ± 3.7 s), and n = 64 (72 %) had simultaneous/delayed BA enhancement (TE: 17.6 ± 6.2 s) (p  Conclusion The vascularization of peripheral lung carcinomas is heterogeneous and is influenced by histology. In this study, lung carcinomas are predominantly supplied by bronchial arteries, whereas a part of adenocarcinomas and non-adenocarcinomas show PA enhancement.

Vascularization of Primary, Peripheral Lung Carcinoma in CEUS - A Retrospective Study (n = 89 Patients).

Purpose To validate a computed tomographic (CT) glomerular filtration rate (GFR) measurement and compare it with renal dynamic imaging GFR obtained by using the "Gates" method, with dual plasma sampling technetium 99m (99mTc) diethylenetriaminepenta-acetic acid (DTPA) clearance ("true GFR") as the reference standard. Materials and Methods This prospective study was approved by the institutional review board, and written informed consent was obtained from all patients. Forty-two patients with unilateral renal disease were included. Single-kidney CT GFR was calculated as excretory phase whole-kidney CT number enhancement divided by the area under the time-attenuation curve for the aorta, multiplied by (1 - hematocrit level). The CT GFR was then obtained by summing the result of the two sides. The true GFR and the Gates GFR were measured by using a single injection of 99mTc-DTPA. The CT GFR and Gates GFR were respectively compared with the true GFR by using a paired t test and linear regression analysis. Results The difference between CT GFR (mean ± standard deviation, 96.02 mL/min ± 23.11) and true GFR (90.50 mL/min ± 21.46) was 5.51 mL/min ± 6.96 (P < .001), demonstrating 6.09% systemic overestimation. The difference between Gates GFR (93.93 mL/min ± 26.97) and true GFR was 3.42 mL/min ± 16.10 (P = .176). Linear regression findings confirmed the association between CT GFR (y-axis) and true GFR (x-axis) and between Gates GFR (y-axis) and true GFR (x-axis) (P < .001 for both). Both regression lines paralleled the diagonal (intercept = 0 and slope = 1) (P = .599 and P = .945, respectively). The 95% confidence interval of the former was above the diagonal, confirming the systemic overestimation. The standard deviations of residuals of both linear regressions were 7.02 mL/min and 16.30 mL/min, respectively, demonstrating smaller deviation of the CT GFR (P < .001). Conclusion The proposed CT GFR measurement was validated in this study and was proved to be more accurate than the Gates method despite slight (6.09%) systemic overestimation. © RSNA, 2016 Online supplemental material is available for this article.

Determination of Glomerular Filtration Rate with CT Measurement of Renal Clearance of Iodinated Contrast Material versus 99mTc-DTPA Dynamic Imaging “Gates” Method: A Validation Study in Asymmetrical Renal Disease

Biphasic CT perfusion is clinically feasible and provides perfusion data comparable to that with dynamic contrast material–enhanced CT perfusion at both global and regional levels in the kidney.

A Simplified Whole-Organ CT Perfusion Technique with Biphasic Acquisition: Preliminary Investigation of Accuracy and Protocol Feasibility in Kidneys.

The invention provides a CT scan perfusion method and device. The method includes the following steps: after a prescribed time t1 has passed since injection of a contrast agent, carrying out a single-slice CT tracking scan of the contrast agent concentration in the artery with a first radiation dosage; during scan tracking, trigging a scan program when a trigger point is reached, and carrying out an arterial phase scan of a visceral organ at a time t2 with a second radiation dosage, which is larger than the first radiation dosage, so as to obtain an arterial phase CT value; obtaining a CT value increment according to the arterial phase CT value; setting a time density curve of the contrast agent in the artery as an arterial input function during the contrast agent scan tracking process, and obtaining the blood flow volume of the visceral organ according to the arterial input function and the CT value increment. The CT scan perfusion method avoids repeated scans of the visceral organ in the traditional method, so as to reduce radiation on a human body, achieve simpler and easier operations and accurate results, and lessen the discomfort of an examinee.

CT scan perfusion method and device

https://pubs.rsna.org/doi/pdf/10.1148/radiol.2015142757

a s implified Whole-Organ cT Perfusion Technique with Biphasic acquisition: Preliminary Investigation of Accuracy and Protocol

https://www.internationaljournalofcardiology.com/article/S0167-5273(12)01585-9/pdf

Single volume acquisition during deep-expiration using a 320-row CT: Low dose triple-rule-out technique tailored for low to moderate body height patients

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Hong Li

Author Tools

Chat about Author