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Sulphur dioxide plasma modification on poly(methyl methacrylate) for fluidic devices
Atsunori Hiratsuka,Hiroyuki Fukui,Yoshio Suzuki,Hitoshi Muguruma,Koji Sakairi,Toshiyuki Matsushima,Yuji Maruo,Kenji Yokoyama 한국물리학회 2008 Current Applied Physics Vol.8 No.2
We developed a sulphur dioxide plasma modication on a poly(methyl methacrylate) (PMMA) material for uidic electrophoresisdevices. The inner surface of the PMMA channel of a chip was modied by using sulphur dioxide plasma treatment. Contact angle mea-surements indicated that the buer solutions were able to ll the capillary because of the hydrophilic property of the internal surface ofthe chip. XPS analysis indicated that the sulphur dioxide plasma treatment introduced a negative charge originating from the dissoci-ation of the hydrogen atoms of sulphonic groups. Since this introduced a negative charge originating from strong acid sulphonic groupsonto the surface of the channel, the electroosmotic ow (EOF) was observed to be large (~7×10-⁴m²V-¹ s-¹) and stable over a widerange of pH (410). The chip was fabricated by using plastic injection moulding methods for enabling the mass fabrication and dispos-able use of chips. The separation method is based on the net electric charge of the material, which enables the separation of identicalsamples on the basis of both isoelectric points and molecular weight. Two synthetic peptides with similar isoelectric points and molecularweights but dierent net charges were selected as model protein samples for the separation. The sample peptides were detected underuorescence microscopy. The resulting electropherograms obtained by using the sulphur dioxide plasma-treated PMMA chip demon-strated that the two peptides were separated and that the migration time of the peptides was correlated with the net charge.
Yusuke Hiratsuka,Jun Hamano,Masanori Mori,Isseki Maeda,Tatsuya Morita,Sang-Yeon Suh 한국호스피스완화의료학회 2023 한국호스피스.완화의료학회지 Vol.26 No.1
This paper aimed to summarize the current situation of prognostication for patients with an expected survival of weeks or months, and to clarify future research priorities. Prognostic information is essential for patients, their families, and medical professionals to make endof- life decisions. The clinician’s prediction of survival is often used, but this may be inaccurate and optimistic. Many prognostic tools, such as the Palliative Performance Scale, Palliative Prognostic Index, Palliative Prognostic Score, and Prognosis in Palliative Care Study, have been developed and validated to reduce the inaccuracy of the clinician’s prediction of survival. To date, there is no consensus on the most appropriate method of comparing tools that use different formats to predict survival. Therefore, the feasibility of using prognostic scales in clinical practice and the information wanted by the end users can determine the appropriate prognostic tool to use. We propose four major themes for further prognostication research: (1) functional prognosis, (2) outcomes of prognostic communication, (3) artificial intelligence, and (4) education for clinicians.
Inheritance of Amylose Content and Alkali Digestion Pattern of a High-amylose Mutant Rice “Goami 2”
Mayu Hiratsuka,홍하철,고희종,최해춘,Young-Pyeong Jeong 한국육종학회 2006 한국육종학회지 Vol.38 No.5
Genetic study on amylose content and alkali digestion (AD) pattern of rice grain was conducted using F1, BC1F1 and F2populations of a reciprocal cross between a high-amylose mutant rice cultivar, Goami 2 and its progenitor variety, Ilpumbyeo. F1seeds of reciprocal crosses between Goami 2 and Ilpumbyeo revealed slightly lower level of amylose content compared to that ofthe field. Also, F1 seeds showed ‘spreading’ type of AD pattern similar to the original variety. The seeds of all progenies in BC1F1and F2 populations were distinctly separated into two different grain types, Goami 2 (GA) type (chalky thin, high amylose andswelling AD pattern) and Ilpumbyeo (IP) type (clear thick, low amylose and spreading AD pattern). However, intermediate type ofgrain appearance and AD pattern was not observed in the progenies of segregating populations. F3 seeds from Goami 2/IlpumbyeoF2 plants of low-amylose (IP type) and segregating (Seg) type plants segregated into 7:8 rather than 7:8:1 ratio. This segregationratio also fited to grain chalkiness and alkali digestion (AD) pattern, spreading or swelling type. The chalky thin grain appearance,swelling AD pattern, and high-amylose content of the mutant ‘Goami 2’ were pleiotropically expressed in the progenies of seg-regating populations. The significantly less segregation GA type progenies far from the expected ratio in F2 might be due to theendosperm type of ‘Goami 2’ may be controled by duplicate recessive genes.
Inheritance of Amylose Content and Alkali Digestion Pattern of a High-amylose Mutant Rice "Goami 2"
Mayu Hiratsuka,Young Pyeong Jeong,Ha Cheol Hong,Hee Jong Koh,Hae Chune Choi 한국육종학회 2006 한국육종학회지 Vol.38 No.4
Genetic study on amy lose content and alkali digestion (AD) Pattern of rice grain was conducted using Fi, BCiFi and Fzpopulations of a reciprocal cross between a high-amylose mutant rice cultivar, Goami 2 and its progenitor variety, Ilpumbyeo. Fiseeds of
A Prognostic Model to Facilitate Palliative Care Referral in Oncology Outpatients
김유정,Yusuke Hiratsuka,서상연,강버들,이시원,안홍엽,서경진,김지원,김세현,김진원,이근욱,김지현,이종석 대한암학회 2022 Cancer Research and Treatment Vol.54 No.2
Purpose We aimed to develop a prognostic model to assist palliative care referral at least 3 months before death in advanced cancer patients treated at an outpatient medical oncology clinic. Materials and Methods In this prospective cohort study, a total of 200 patients were enrolled at a tertiary cancer center in South Korea. The major eligibility criterion was an expected survival of less than a year as estimated by their oncologists. We analyzed the influences of known prognostic factors along with chemotherapy status, mid-arm circumference, and triceps skinfold thickness on survival time. Results The mean age of the patients was 64.5 years, 36% were female, and the median survival time was 7.6 months. In the multivariate analysis, we found six significant factors related to poor survival: a poor Eastern Cooperative Oncology Group (ECOG) performance status (≥ 2), not undergoing chemotherapy, anorexia, a low lymphocyte level (< 12%), a high lactate dehydrogenase (LDH) level (≥ 300 IU/L), and a low mid-arm circumference (< 23 cm). We developed a prognostic model (score, 0-8.0) to predict 3-month survival based on the multivariate analysis. Patients who scored ≥ 4.0 points had a short survival of less than 3 months (p < 0.001). The discriminating ability of the prognostic model using the area under the receiver operating characteristic curve was 0.88. Conclusion The prognostic model using ECOG performance status, chemotherapy status, anorexia, lymphocytes, LDH, and mid-arm circumference can predict 3-month survival in medical oncology outpatients. It can alert oncologists to refer patients to palliative care specialists before it is too late. PurposeWe aimed to develop a prognostic model to assist palliative care referral at least 3 months before death in advanced cancer patients treated at an outpatient medical oncology clinic.Materials and MethodsIn this prospective cohort study, a total of 200 patients were enrolled at a tertiary cancer center in South Korea. The major eligibility criterion was an expected survival of less than a year as estimated by their oncologists. We analyzed the influences of known prognostic factors along with chemotherapy status, mid-arm circumference, and triceps skinfold thickness on survival time. ResultsThe mean age of the patients was 64.5 years, 36% were female, and the median survival time was 7.6 months. In the multivariate analysis, we found 6 significant factors related to poor survival: a poor Eastern Cooperative Oncology Group (ECOG) performance status (≥2), not undergoing chemotherapy, anorexia, a low lymphocyte level (<12%), a high lactate dehydrogenase (LDH) level (≥300 IU/L), and a low mid-arm circumference (<23 cm). We developed a prognostic model (score, 0-8.0) to predict 3-month survival based on the multivariate analysis. Patients who scored ≥4.0 points had a short survival of less than 3 months (p<0.001). The discriminating ability of the prognostic model using the area under the receiver operating characteristic curve (AUC) was 0.88. ConclusionThe prognostic model using ECOG performance status, chemotherapy status, anorexia, lymphocytes, LDH, and mid-arm circumference can predict 3-month survival in medical oncology outpatients. It can alert oncologists to refer patients to palliative care specialists before it is too late.