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Women’s preconception health patterns in traditional Chinese medicine as a predictor of fertility outcomes

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Journal of Integrative Medicine 2020年第3期18卷 222-228页

作者： Xia-qiu Wu Wendy Satmary Jin Peng ka-kit Hui School of Basic Medical Sciences Zhejiang Chinese Medical UniversityHangzhou 310053Zhejiang ProvinceChina Center for East-West Medicine David Geffen School of MedicineUniversity of CaliforniaLos AngelesCA 90024USA Department of Obstetrics&Gynecology David Geffen School of MedicineUniversity of CaliforniaLos AngelesCA 90024USA Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical SciencesBeijing 100700China

Objective: To examine the association between traditional Chinese medicine(TCM), preconception health patterns and fertility ***: A community-based prospective cohort study was conducted in China. A total of 3012 newly married women who were willing to conceive within 2 years were enrolled in the study and took National Free Prepregnancy Checkups(NFPC). A reliably structured self-rating scale was used to measure the TCM preconception health patterns of the enrolled women. A 3-year follow-up was conducted to obtain the fertility outcomes, including pregnancy rate, time to pregnancy, spontaneous miscarriage and newborn status. Statistical analyses were conducted using Chi-square or fisher’s exact tests, logistic regression models, general linear models and the Cox proportional hazard ***: The fertility outcomes showed no statistic correlations to the terms of NFPC in this *** a half of the women(46.66%) had unhealthy patterns. Women with qi & blood-deficiency(odds ratio [OR] = 35.19, 95% confidence interval [CI] = 1.55–801.15) or qi-stagnation(OR = 4.55, 95% CI =0.90–23.06) pattern took a longer time to get pregnant, and those with qi-stagnation(OR = 2.05, 95% CI =1.1–3.82) or yang-deficiency(OR = 1.91, 95% CI = 1.12–3.25) pattern had a higher risk of spontaneous ***: Three unhealthy TCM patterns during the preconception period might be risk factors for low fecundity or poor pregnancy outcomes. The TCM preconception pattern identification may provide a convenient and effective way to screen for potential pregnancy risks beyond the NFPC. Further, appropriate interventions based on the TCM preconception health patterns are needed to improve quality in women’s fecundability and birth outcomes.

关键词： Preconception care Fertility Traditional Chinese medicine Women’s health Risk assessment

Clinical use of genotype to predict chemosensitivity in oligodendroglial tumors

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中国神经肿瘤杂志 2006年第3期4卷 179-179页

作者： Walker C Haylock B Husband D Joyce ka Fildes D Jenkirtson MD Smith T Broome J du Plessis DG Warnke PC J.K. Douglas Laboratories Clatterbridge Hospital Bebington Wirral UK

BACKGROUND: The -1p/-19q genotype has been associated with prolonged survival and chemosensitivity in oligodendroglial neoplasms, but the predictive and prognostic significance of genotype in the routine clinic is not established。METHODS: The authors investigated allelic imbalance in 1p36, 19q13, 17p13, 10p12-15, and 10q22-26 and p53 mutation in a cohort representative of clinical practice at their center (50 primary, 26 recurrent cases) given PCV chemotherapy between 2000 and 2003 and compared with response and outcome following PCV。RESULTS: 1p/19q loss was found in 12/19 OⅡ, 10/23 OAⅡ, 11/13 OⅢ, and 6/21 OAⅢ。Response, seen in 92% with 1p/19q loss, was associated with the -1p/-19q genotype (fisher exact: P<0.001) regardless of WHO grade or whether primary or recurrent, 1p/19q loss was an independent prognostic factor associated with longer progression-free (PFS) and overall survival (OS) (Cox regression: PFS and OS P<0.001), with greater impact on PFS than OS in primary tumors, and OS at recurrence。17p13 loss and p53 mutation were associated with poor prognosis in recurrent tumors and chromosome 10 loss was associated with short PFS and OS in primary tumors。Histologic subtype did not influence outcome in tumors of equivalent genotype。Genotype had greater association with response and outcome than conventional clinical factors。

关键词：基因 p53 基因型抗肿瘤联合化疗方案/治疗应用少突神经胶质瘤/药物疗法少突神经胶质瘤/遗传学突变人类

Identification of new genetic risk factors for prostate cancer

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Asian Journal of Andrology 2009年第1期11卷 49-55页

作者： Michelle Guy Zsofia Kote-Jarai Graham G. Giles Ali Amin Al Olama Sarah K. Jugurnauth Shani Mulholland Daniel A. Leongamomlert Stephen M. Edwards Jonathan Morrison Helen I. Field Melissa C. Southey Gianluca Severi Jenny L. Donovan Freddie C. Hamdy David R Dearnaley Kenneth R. Muir Charmaine Smith Melisa Bagnato Audrey T. Ardern-Jones Amanda L. Hall Lynne T. O＇Brien Beatrice N. Gehr-Swain Rosemary A. Wilkinson Angela Cox Sarah Lewis Paul M. Brown Sameer G. Jhavar Malgorzata Tymrakiewicz Artitaya Lophatananon Sarah L. Bryant The UK Genetic Prostate Cancer Study Collaborators British Association of Urological Surgeons＇ Section of Oncology and The UK ProtecT Study Collaborators Alan Horwich Robert A. Huddart Vincent S. Khoo Christopher C. Parker Christopher J. Woodhouse Alan Thompson Tim Christmas Chris Ogden Cyril fisher Charles Jameson Colin S. Cooper Dallas R. English John L. Hopper David E. Neal Douglas E Easton Rosalind A. Eeles Section of Cancer Genetics The Institute of Cancer Research Sutton Surrey SM2 5NG UK Cancer Epidemiology Centre The Cancer Council Victoria Carlton VIC 3053 Australia Centre for Molecular Environmental Genetic and Analytic Epidemiology The University of Melbourne Carlton VIC 3053 Australia Cancer Research UK Genetic Epidemiology Unit University of Cambridge Strangeways Laboratory Worts Causeway Cambridge CB1 8RN UK Department of Oncology University of Cambridge Strangeways Laboratory Worts Causeway Cambridge CB1 8RN UK Genetic Epidemiology Laboratory Department of Pathology The University of Melbourne Parkville VIC 3052 Australia Department of Social Medicine University of Bristol Bristol BS8 2PR UK Academic Urology Unit University of Sheffield Sheffield SIO 2JF UK The Royal Marsden NHS Foundation Trust Sutton Surrey SM2 5PT and London SW3 6JJ UK University of Nottingham Medical School Queens Medical Centre Nottingham NG7 2UH UK Institute for Cancer Studies University of Sheffield Sheffield SIO 2RX UK Surgical Oncology （Uro-Oncology S4） Departments of Oncology and Surgery University of Cambridge Addenbrooke＇s Hospital Cambridge CB2 2QQ UK A full list of authors is provided in the Supplementary Note online Ka Shing Centre Cambridge CB2 ORE UK Cancer Research UK Cambridge Research Institute Li Ka Shing Centre Cambridge CB2 ORE UK.

There is evidence that a substantial part of genetic predisposition to prostate cancer （PCa） may be due to lower penetrance genes which are found by genome-wide association studies. We have recently conducted such a study and seven new regions of the genome linked to PCa risk have been identified. Three of these loci contain candidate susceptibility genes： MSMB, LMTK2 and KLK2/3. The MSMB and KLK2/3 genes may be useful for PCa screening, and the LMTK2 gene might provide a potential therapeutic target. Together with results from other groups, there are now 23 germline genetic variants which have been reported. These results have the potential to be developed into a genetic test. However, we consider that marketing of tests to the public is premature, as PCa risk can not be evaluated fully at this stage and the appropriate screening protocols need to be developed. Follow-up validation studies, as well as studies to explore the psychological implications of genetic profile testing, will be vital prior to roll out into healthcare.

关键词： prostate cancer genetics susceptibility loci SNPs relative risks

Fungal diversity notes 1387-1511:taxonomic and phylogenetic contributions on genera and species of fungal taxa

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Fungal Diversity 2021年第6期111卷 1-335页

作者： Saranyaphat Boonmee Dhanushka N.Wanasinghe Mark S.Calabon Naruemon Huanraluek Sajini K.U.Chandrasiri Gareth E.B.Jones Walter Rossi Marco Leonardi Sanjay K.Singh Shiwali Rana Paras N.Singh Deepak K.Maurya Ajay C.Lagashetti Deepika Choudhary Yu-Cheng Dai Chang-Lin Zhao Yan-Hong Mu Hai-Sheng Yuan Shuang-Hui He Rungtiwa Phookamsak Hong-Bo Jiang María P.Martín Margarita Dueñas MTeresa Telleria Izabela L.kałucka Andrzej M.Jagodziński kare Liimatainen Diana S.Pereira Alan J.L.Phillips Nakarin Suwannarach Jaturong Kumla Surapong Khuna Saisamorn Lumyong Tarynn B.Potter Roger G.Shivas Adam H.Sparks Niloofar Vaghefi Mohamed A.Abdel-Wahab Faten A.Abdel-Aziz Guo-Jie Li Wen-Fei Lin Upendra Singh Rajendra P.Bhatt Hyang Burm Lee Thuong T.T.Nguyen Paul M.Kirk Arun Kumar Dutta Krishnendu Acharya VVenkateswara Sarma M.Niranjan Kunhiraman C.Rajeshkumar Nikhil Ashtekar Sneha Lad Nalin N.Wijayawardene Darbe J.Bhat Rong-Ju Xu Subodini N.Wijesinghe Hong-Wei Shen Zong-Long Luo Jing-Yi Zhang Phongeun Sysouphanthong Naritsada Thongklang Dan-Feng Bao Janith V.S.Aluthmuhandiram Jafar Abdollahzadeh Alireza Javadi Francesco Dovana Muhammad Usman Abdul Nasir Khalid Asha J.Dissanayake Anusha Telagathoti Maraike Probst Ursula Peintner Isaac Garrido-Benavent Lilla Bóna Zsolt Merényi Lajos Boros Bratek Zoltán JBenjamin Stielow Ning Jiang Cheng-Ming Tian Esmaeil Shams Farzaneh Dehghanizadeh Adel Pordel Mohammad Javan-Nikkhah Teodor T.Denchev Cvetomir M.Denchev Martin Kemler Dominik Begerow Chun-Ying Deng Emma Harrower Tohir Bozorov Tutigul Kholmuradova Yusufjon Gafforov Aziz Abdurazakov Jian-Chu Xu Peter E.Mortimer Guang-Cong Ren Rajesh Jeewon Sajeewa S.N.Maharachchikumbura Chayanard Phukhamsakda Ausana Mapook Kevin D.Hyde Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand CAS Key Laboratory for Plant Biodiversity and Biogeography of East Asia(KLPB) Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanPeople’s Republic of China CIFOR-ICRAF China Program World Agroforestry(ICRAF)Kunming 650201YunnanPeople’s Republic of China Honghe Center for Mountain Futures Kunming Institute of BotanyHonghe CountyKunming 654400YunnanPeople’s Republic of China Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O.Box 2455Riyadh 11451Saudi Arabia Section Environmental Sciences Department MeSVAUniversity of L’Aquila67100 CoppitoAQItaly National Fungal Culture Collection of India(NFCCI) Biodiversity and Palaeobiology GroupMACS Agharkar Research InstituteG.G.Agarkar RoadPune 411004India Institute of Microbiology School of Ecology and Nature ConservationBeijing Forestry UniversityBeijing 100083People’s Republic of China College of Biodiversity Conservation Southwest Forestry UniversityKunming 650224People’s Republic of China CAS Key Laboratory of Forest Ecology and Management Institute of Applied EcologyChinese Academy of SciencesShenyang 110164People’s Republic of China University of the Chinese Academy of Sciences Beijing 100049People’s Republic of China Centre for Mountain Futures(CMF) Kunming Institute of BotanyKunming 650201YunnanPeople’s Republic of China Department of Mycology Real Jardín Botánico-CSICPlaza de Murillo 228014 MadridSpain Department of Algology and Mycology Faculty of Biology and Environmental ProtectionUniversity of LodzBanacha 12/1690-237ŁódźPoland Institute of Dendrology Polish Academy of SciencesParkowa 562-035 KórnikPoland Jodrell Laboratory Royal Botanic GardensKewRichmond TW93DSSurreyUK Faculdade de Ciências Biosystems and Integrative Sciences Institute(BioISI)Universidade de LisboaCampo Grande1749-016 LisbonPortugal Dep

This article is the 13th contribution in the Fungal Diversity Notes series,wherein 125 taxa from four phyla,ten classes,31 orders,69 families,92 genera and three genera incertae sedis are treated,demonstrating worldwide and geographic *** taxa described and illustrated in the present study include three new genera,69 new species,one new com-bination,one reference specimen and 51 new records on new hosts and new geographical *** new genera,Cylindrotorula(Torulaceae),Scolecoleotia(Leotiales genus incertae sedis)and Xenovaginatispora(Lindomycetaceae)are introduced based on distinct phylogenetic lineages and unique *** described species are Aspergillus lan-naensis,Cercophora dulciaquae,Cladophialophora aquatica,Coprinellus punjabensis,Cortinarius alutarius,***-latus,***,Coryneum fagi,Cruentomycena uttarakhandina,Cryptocoryneum rosae,Cyathus uniperidiolus,Cylindrotorula indica,Diaporthe chamaeropicola,Didymella azollae,Diplodia alanphillipsii,Dothiora coronicola,Efibula rodriguezarmasiae,Erysiphe salicicola,Fusarium queenslandicum,Geastrum gorgonicum,***,Helicosporium sexualis,Helminthosporium chiangraiensis,Hongkongmyces kokensis,Hydrophilomyces hydraenae,Hygrocybe boertmannii,Hyphoderma australosetigerum,Hyphodontia yunnanensis,Khaleijomyces umikazeana,Laboulbenia divisa,Laboulbenia triarthronis,Laccaria populina,Lactarius pallidozonarius,Lepidosphaeria strobelii,Longipedicellata megafusiformis,Lophiotrema lincangensis,Marasmius benghalensis,***,***,Mariannaea camelliae,Mel-anographium smilaxii,Microbotryum polycnemoides,Mimeomyces digitatus,Minutisphaera thailandensis,Mortierella solitaria,Mucor harpali,Nigrograna jinghongensis,Odontia huanrenensis,***,Paraconiothyrium ajrekarii,Par-afuscosporella niloticus,Phaeocytostroma yomensis,Phaeoisaria synnematicus,Phanerochaete hainanensis,Pleopunctum thailandicum,Pleurotheciella dimorphospora,Pseudochaetosphaeronema

关键词： 72 new taxa One new combination One reference specimen 51 new records Agaricomycetes Ascomycota Bartheletiomycetes Basidiomycota Dothideomycetes Eurotiomycetes Exobasidiomycetes Laboulbeniomycetes Leotiomycetes Mortierellomycetes Mortierellomycota Mucoromycetes Mucoromycota Phylogeny Sordariomycetes Taxonomy