AU2013230841B2 - Detection of rate changes in systematic oscillations of metabolic pathways by monitoring isotope ratios - Google Patents

Detection of rate changes in systematic oscillations of metabolic pathways by monitoring isotope ratios Download PDF

Info

Publication number
AU2013230841B2
AU2013230841B2 AU2013230841A AU2013230841A AU2013230841B2 AU 2013230841 B2 AU2013230841 B2 AU 2013230841B2 AU 2013230841 A AU2013230841 A AU 2013230841A AU 2013230841 A AU2013230841 A AU 2013230841A AU 2013230841 B2 AU2013230841 B2 AU 2013230841B2
Authority
AU
Australia
Prior art keywords
isotope
individual
healthy
oscillation
time
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
AU2013230841A
Other languages
English (en)
Other versions
AU2013230841A1 (en
Inventor
Daniel Elmer BUTZ
Mark E. Cook
Hamid R. Eghbalnia
Warren Paul Porter
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wisconsin Alumni Research Foundation
Original Assignee
Wisconsin Alumni Research Foundation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wisconsin Alumni Research Foundation filed Critical Wisconsin Alumni Research Foundation
Publication of AU2013230841A1 publication Critical patent/AU2013230841A1/en
Application granted granted Critical
Publication of AU2013230841B2 publication Critical patent/AU2013230841B2/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/483Physical analysis of biological material
    • G01N33/497Physical analysis of biological material of gaseous biological material, e.g. breath
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/08Measuring devices for evaluating the respiratory organs
    • A61B5/082Evaluation by breath analysis, e.g. determination of the chemical composition of exhaled breath
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/41Detecting, measuring or recording for evaluating the immune or lymphatic systems
    • A61B5/412Detecting or monitoring sepsis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4845Toxicology, e.g. by detection of alcohol, drug or toxic products
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/08Measuring devices for evaluating the respiratory organs
    • A61B5/083Measuring rate of metabolism by using breath test, e.g. measuring rate of oxygen consumption
    • A61B5/0836Measuring rate of CO2 production
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4842Monitoring progression or stage of a disease

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Molecular Biology (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Public Health (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Chemical & Material Sciences (AREA)
  • Immunology (AREA)
  • Pulmonology (AREA)
  • General Physics & Mathematics (AREA)
  • Physiology (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Urology & Nephrology (AREA)
  • Hematology (AREA)
  • Vascular Medicine (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Pharmacology & Pharmacy (AREA)
  • Toxicology (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
AU2013230841A 2012-03-07 2013-01-07 Detection of rate changes in systematic oscillations of metabolic pathways by monitoring isotope ratios Active AU2013230841B2 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US13/414,061 US8512676B1 (en) 2012-03-07 2012-03-07 Detection of rate changes in systematic oscillations of metabolic athways by monitoring isotope ratios
US13/414,061 2012-03-07
PCT/US2013/020496 WO2013133904A2 (en) 2012-03-07 2013-01-07 Detection of rate changes in systematic oscillations of metabolic pathways by monitoring isotope ratios

Publications (2)

Publication Number Publication Date
AU2013230841A1 AU2013230841A1 (en) 2014-09-11
AU2013230841B2 true AU2013230841B2 (en) 2018-09-27

Family

ID=47628440

Family Applications (1)

Application Number Title Priority Date Filing Date
AU2013230841A Active AU2013230841B2 (en) 2012-03-07 2013-01-07 Detection of rate changes in systematic oscillations of metabolic pathways by monitoring isotope ratios

Country Status (8)

Country Link
US (1) US8512676B1 (enExample)
EP (1) EP2839277A2 (enExample)
JP (1) JP6396218B2 (enExample)
CN (1) CN104272107B (enExample)
AU (1) AU2013230841B2 (enExample)
CA (1) CA2865492C (enExample)
IN (1) IN2014DN07247A (enExample)
WO (1) WO2013133904A2 (enExample)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104458603A (zh) * 2013-09-23 2015-03-25 苏州青山生物科技有限公司 一种新型幽门螺杆菌检测方法、装置及其应用
US20150196248A1 (en) 2014-01-10 2015-07-16 The United States Of America, As Represented By The Secretary Of Agriculture Methods of determining energy balance using breath carbon isotope ratios
US10226484B2 (en) 2014-12-01 2019-03-12 Peter Y Novak Pharmaceutical composition for improving health, cure abnormalities and degenerative disease, achieve anti-aging effect of therapy and therapeutic effect on mammals and method thereof
US10165965B1 (en) 2015-10-22 2019-01-01 Roy Pinchot Noninvasive method for measuring lactic acid and detection of anaerobic exercise for evaluating fitness
CN105954504B (zh) * 2016-06-01 2018-10-26 苏州科技学院 快速酒精定性信号处理方法以及初测装置
US10183041B2 (en) 2017-04-12 2019-01-22 Vector Vitale Ip Llc Antibacterial composition and its use in treating bacterial infections
US11484610B2 (en) 2019-11-22 2022-11-01 Vector Vitale Ip Llc Method of treating melanoma
US10799530B1 (en) 2019-12-20 2020-10-13 Vector Vitale Ip Llc Composition and method for the prevention and treatment of obesity
US10933091B1 (en) 2019-12-20 2021-03-02 Vector Vitale Ip Llc Composition and method for the treatment of type I diabetes
US11596650B2 (en) 2019-12-20 2023-03-07 Vector Vitale Ip Llc Composition and method for the treatment of type 2 diabetes
JP7718650B2 (ja) * 2021-05-19 2025-08-05 国立大学法人東北大学 感染症のバイオマーカ

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5912178A (en) * 1994-02-16 1999-06-15 Wisconsin Alumni Research Foundation Passive measurement of isotopes to monitor health
US7465276B2 (en) * 2005-11-30 2008-12-16 Wisconsin Alumni Research Foundation Identification of disease characteristics using isotope ratios in breath

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH1087512A (ja) * 1996-09-18 1998-04-07 Isao Nishi ▲13▼c標識尿素試薬によるリアルタイムヘリコバクターピロリ感染検査方法
US6609068B2 (en) * 2000-02-22 2003-08-19 Dow Global Technologies Inc. Personal computer breath analyzer for health-related behavior modification and method
GB0120027D0 (en) * 2001-08-16 2001-10-10 Isis Innovation Spectroscopic breath analysis
US8512258B2 (en) * 2005-11-11 2013-08-20 Exalenz Bioscience Ltd. Breath test device and method
WO2007054940A2 (en) * 2005-11-11 2007-05-18 Breathid (2006) Breath test device and method
US8288727B2 (en) * 2006-12-18 2012-10-16 Picomole Instruments Inc. Apparatus and method for rapid and accurate quantification of an unknown, complex mix
US8026049B2 (en) * 2007-03-23 2011-09-27 Wisconsin Alumni Research Foundation Noninvasive measurement and identification of biomarkers in disease state
CN102027344B (zh) * 2008-02-15 2015-03-18 科学技术设备委员会 红外分光计
DE102009055321B4 (de) * 2009-12-24 2013-04-18 Humedics Gmbh Verfahren zur Bestimmung der Leberleistung eines Lebewesens mittels quantitativer Messung der Metabolisierung von Substraten

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5912178A (en) * 1994-02-16 1999-06-15 Wisconsin Alumni Research Foundation Passive measurement of isotopes to monitor health
US7465276B2 (en) * 2005-11-30 2008-12-16 Wisconsin Alumni Research Foundation Identification of disease characteristics using isotope ratios in breath

Also Published As

Publication number Publication date
US20130236925A1 (en) 2013-09-12
WO2013133904A2 (en) 2013-09-12
CN104272107B (zh) 2017-05-17
EP2839277A2 (en) 2015-02-25
CA2865492C (en) 2021-06-01
CA2865492A1 (en) 2013-09-12
US8512676B1 (en) 2013-08-20
IN2014DN07247A (enExample) 2015-04-24
AU2013230841A1 (en) 2014-09-11
JP2015511009A (ja) 2015-04-13
JP6396218B2 (ja) 2018-09-26
CN104272107A (zh) 2015-01-07

Similar Documents

Publication Publication Date Title
AU2013230841B2 (en) Detection of rate changes in systematic oscillations of metabolic pathways by monitoring isotope ratios
Sabeti et al. Entropy and complexity measures for EEG signal classification of schizophrenic and control participants
US20110105856A1 (en) Diagnostic testing
US20250258156A1 (en) Method, computer system, and program for predicting characteristic of target
Tataraidze et al. Bioradiolocation-based sleep stage classification
Sanchez-Brito et al. A machine-learning strategy to evaluate the use of FTIR spectra of saliva for a good control of type 2 diabetes
Mei et al. Identifying sleep spindles with multichannel EEG and classification optimization
US20190037810A1 (en) Device and method of automatic classification of animal behaviors using vocalizations
US20190042692A1 (en) Device and method of using rodent vocalizations for automatic classification of animal behavior
Cserpan et al. Variation of scalp EEG high frequency oscillation rate with sleep stage and time spent in sleep in patients with pediatric epilepsy
Haba et al. A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms
Lee et al. Automated detection of obstructive apnea and hypopnea events from oxygen saturation signal
Zhu et al. First insights into the urinary metabolome of captive giraffes by proton nuclear magnetic resonance spectroscopy
US10440939B2 (en) Device and method of correlating rodent vocalizations with rodent behavior
CN106419884B (zh) 一种基于小波分析的心率计算方法与系统
Amoroso et al. PRISMA-CAD: Fully automated method for Computer-Aided Diagnosis of Dementia based on structural MRI data
Malikhah et al. A New Approach for Detection of Viral Respiratory Infections Using E-nose Through Sweat from Armpit with Fully Connected Deep Network
Guo et al. A sparse representation method for magnetic resonance spectroscopy quantification
US20240032825A1 (en) Photoplethysmography Based Non-Invasive Blood Glucose Prediction by Neural Network
CN116721777A (zh) 基于神经网络的药物药效评价方法、装置、设备及介质
Navarro et al. Performance analysis of Hurst exponent estimators using surrogate-data and fractional lognormal noise models: Application to breathing signals from preterm infants
Khoa et al. Testing for nonlinearity in functional near-infrared spectroscopy of brain activities by surrogate data methods
Wang et al. Analysis of the Complexity Pattems in Respiratory Data
Bottenhorn et al. Estimating individual-level changes in functional brain connectivity and correspondence with topology changes
Frohlich et al. The complexity of event-related MEG signals decreases with maturation in human fetuses and newborns

Legal Events

Date Code Title Description
FGA Letters patent sealed or granted (standard patent)