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| 1 | Structural mobility in deglutition after single modality treatment of head and neck carcinomas with radiotherapy显示文摘 | Katherine A.Kendall Susan W.McKenzie Rebecca J.Leonard ChrisJones | 1999 | Head Neck1999，，： | 1 |
| 2 | Electronic nose analysis of bronchoalveolar lavage fluid显示文摘 | LeeHumphreys Robert M. L’E.Orme PhilippaMoore NapoleonCharaklias NatashaSahgal NeusPlanas Pont NareshMagan NicholasStone Catherine A.Kendall | 2010 | European Journal of Clinical Investigation2010，，1： | 1 |
| 3 | Inhibition of peripheral vanilloid TRPV1 receptors reduces noxious heat‐evoked responses of dorsal horn neurons in na?ve, carrageenan‐inflamed and neuropathic rats显示文摘 | Maulik D.Jhaveri Steven J. R.Elmes David A.Kendall VictoriaChapman | 2005 | European Journal of Neuroscience2005，，： | 1 |
| 4 | Translational potential of allosteric modulators targeting the cannabinoid CB1 receptor显示文摘The cannabinoid type-1(CB1)receptor,a G-protein-coupled receptor,is an attractive target for drug discovery due to its involvement in many physiological processes.Historically,drug discovery efforts targeting the CB1 receptor have focused on thedevelopment of orthosteric ligands that interact with the active site to which endogenous cannabinoids bind.Research performed over the last several decades has revealed substantial difficulties in translating CB1orthosteric ligands into druggable candidates.The dificulty is mainly due to the adverse effects associated with orthosteric CB1 ligands.Recent discoveries of allosteric CB1 modulators provide tremendous opportunities to develop CB1 ligands with novel mechanisms of action;these ligands may potentially improve the pharmacological effects and enhance drug safety in treating the disorders by regulating the functionsof the CB1receptor.In this paper,we review and summarize the complex pharmacological profiles of each class of CB1 allosteric modulators,the development of new classes of CB1 allosteric modulators and the results from in vivo assessments of their therapeutic value. | Dai Lu Sri Sujana Immadi Zhixing Wu Debra A.Kendall | 2019 | Acta Pharmacologica Sinica2019，40，3： | 1 |
| 5 | Spatial distribution of people diagnosed with tuberculosis through routine and active case finding:a community-based study in Kampala,Uganda显示文摘Background:Routine tuberculosis(TB)notifications are geographically heterogeneous,but their utility in predicting the location of undiagnosed TB cases is unclear.We aimed to identify small-scale geographic areas with high TB notification rates based on routinely collected data and to evaluate whether these areas have a correspondingly high rate of undiagnosed prevalent TB.Methods:We used routinely collected data to identify geographic areas with high TB notification rates and evaluated the extent to which these areas correlated with the location of undiagnosed cases during a subsequent community-wide active case finding intervention in Kampala,Uganda.We first enrolled all adults who lived within 35 contiguous zones and were diagnosed through routine care at four local TB Diagnosis and Treatment Units.We calculated average monthly TB notification rates in each zone and defined geographic areas of“high risk”as zones that constituted the 20%of the population with highest notification rates.We compared the observed proportion of TB notifications among residents of these high-risk zones to the expected proportion,using simulated estimates based on population size and random variation alone.We then evaluated the extent to which these high-risk zones identified areas with high burdens of undiagnosed TB during a subsequent community-based active case finding campaign using a chi-square test.Results:We enrolled 45 adults diagnosed with TB through routine practices and who lived within the study area(estimated population of 49527).Eighteen zones reported no TB cases in the 9-month period;among the remaining zones,monthly TB notification rates ranged from 3.9 to 39.4 per 100000 population.The five zones with the highest notification rates constituted 62%(95%CI:47–75%)of TB cases and 22%of the population–significantly higher than would be expected if population size and random chance were the only determinants of zone-to-zone variation(48%,95%simulation interval:40–59%).These five high-risk zones accounted for 42%(95%CI:34–51%)of the 128 cases detected during the subsequent community-based case finding intervention,which was significantly higher than the 22%expected by chance(P<0.001)but lower than the 62%of cases notified from those zones during the pre-intervention period(P=0.02).Conclusions:There is substantial heterogeneity in routine TB notification rates at the zone level.Using facilitybased TB notification rates to prioritize high-yield areas for active case finding could double the yield of such casefinding interventions. | Katherine O.Robsky Peter J.Kitonsa James Mukiibi Olga Nakasolya David Isooba Annet Nalutaaya Phillip P.Salvatore Emily A.Kendall Achilles Katamba David Dowdy | 2020 | Infectious Diseases of Poverty2020，9，3： | 0 |
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