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| 1 | Nat Genet:单基因突变导致过敏性皮炎的发生显示文摘最近,研究者们鉴定出了一类导致神经性皮炎发生的关键基因突变:CARDll。来自美国NIH过敏与传染病研究所的研究者们通过对四个没有血缘关系的患病家庭进行分析,发现了这一导致疾病产生的基因、 | Chi A Ma, Yuan Zhang, Michael A Weinreich, Jonathan J Lyons, Celeste G Nelson, Thomas DiMaggio, Kelly D Stone, Joshua D Milner Jeffrey R Stinson, Elisa Ruffo, Batsukh Dorjbal, Swadhinya Arjunaraja, Kelsey Voss, Andrew L Snow Jordan K Abbott, Pia J Hauk, Paul R Reynolds, Erwin W Gelfand Elisa Ruffo Salomé Glauzy, Natsuko Yamakawa, Eric Meffre Jennifer Stoddard, Julie Niemela, Sergio D Rosenzweig Yu Zhang, Helen F Matthews Joshua J McElwee Nina Jones Alejandro Palma, Matías Oleastro, Emma Prieto, Andrea R Bernasconi, Geronimo Dubra, Silvia Danielian, Jonathan Zaiat, Marcelo A Marti Brian Kim Megan A Cooper Neil Romberg | 2017 | 现代生物医学进展2017，17，27： | 3 |
| 2 | Molecular farming in plants: A current perpective显示文摘 | Rishi A S Neil D Nelson Arun Goyal | 2001 | Plant Biochemistry & Biotechnology2001，10，： | 1 |
| 3 | Molecular farming in plants: A current perspective 显示文摘 | A S Rishi Neil D Nelson and Arun Goyal | 2001 | Plant Biochemistry & Bioteenology2001，10，： | 1 |
| 4 | Using electronic medical record data to assess chronic kidney disease,type 2 diabetes and cardiovascular disease testing,recognition and management as documented in Australian general practice:a cross-sectional analysis显示文摘Objectives To evaluate the capacity of general practice(GP)electronic medical record(EMR)data to assess risk factor detection,disease diagnostic testing,diagnosis,monitoring and pharmacotherapy for the interrelated chronic vascular diseases-chronic kidney disease(CKD),type 2 diabetes(T2D)and cardiovascular disease.Design Cross-sectional analysis of data extracted on a single date for each practice between 12 April 2017 and 18 April 2017 incorporating data from any time on or before data extraction,using baseline data from the Chronic Disease early detection and Improved Management in PrimAry Care ProjecT.Deidentified data were extracted from GP EMRs using the Pen Computer Systems Clinical Audit Tool and descriptive statistics used to describe the study population.Setting Eight GPs in Victoria,Australia.Participants Patients were≥18 years and attended GP≥3 times within 24 months.37946 patients were included.Results Risk factor and disease testing/monitoring/treatment were assessed as per Australian guidelines(or US guidelines if none available),with guidelines simplified due to limitations in data availability where required.Risk factor assessment in those requiring it:30%of patients had body mass index and 46%blood pressure within guideline recommended timeframes.Diagnostic testing in at-risk population:17%had diagnostic testing as per recommendations for CKD and 37%for T2D.Possible undiagnosed disease:Pathology tests indicating possible disease with no diagnosis already coded were present in 6.7%for CKD,1.6%for T2D and 0.33%familial hypercholesterolaemia.Overall prevalence:Coded diagnoses were recorded in 3.8%for CKD,6.6%for T2D,4.2%for ischaemic heart disease,1%for heart failure,1.7%for ischaemic stroke,0.46%for peripheral vascular disease,0.06%for familial hypercholesterolaemia and 2%for atrial fibrillation.Pharmaceutical prescriptions:the proportion of patients prescribed guideline-recommended medications ranged from 44%(beta blockers for patients for some conditions.These baseline data highlight the utility of GP EMR data for potential use in epidemiological studies and by individual practices to guide targeted quality improvement.It also highlighted some of the challenges of using GP EMR data. | Julia L Jones Natalie G Lumsden Koen Simons Anis Ta'eed Maximilian P de Courten Tissa Wijeratne Nicholas Cox Christopher J A Neil Jo-Anne Manski-Nankervis Peter Shane Hamblin Edward D Janus Craig L Nelson | 2022 | Family Medicine and Community Health2022，10，1： | 0 |
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