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1164 citation(s) found for "Xu, Victoria".

A discrete subset of epigenetically primed human NK cells mediates antigen-specific immune responses
Stary, Victoria , Pandey, Ram Vinay , Strobl, Johanna , Kleißl, Lisa , Pereyra, David , Fischer, Gottfried , Bock, Christoph , Farlik, Matthias , Stary, Georg , Pereyra, David , Fischer, Gottfried F , Bock, Christoph , Farlik, Matthias , Stary, Georg , Strobl, Johanna , Starlinger, Patrick , Weninger, Wolfgang

Science Immunology | October 16, 2020 | Volume: 5 | Issue: 52 | Pages: No page available

10.1126/sciimmunol.aba6232 | PMID 33067380 Get It

CD49a + CD16 − NK cells from the liver and contact dermatitis lesions specifically recognize antigens and contribute to adaptive immunity.
Injectable conductive hydrogel restores conduction through ablated myocardium
Zyl, Martin van , Pedrotty, Dawn , Kuzmenko, Volodymyr , Sämfors, Sanna, Livia, Christopher , Vaidya, Vaibhav R. , Sugrue, Alan , Behfar, Atta , Asirvatham, Samuel J. , Gatenholm, Paul , Kapa, Suraj , van Zyl, Martin , Livia, Christopher , Vaidya, Vaibhav , Sugrue, Alan , Asirvatham, Samuel J , Gatenholm, Paul , Kapa, Suraj , Behfar, Atta , Karabulut, Erdem , McLeod, Christopher J.

Journal of Cardiovascular Electrophysiology | September 23, 2020 | Volume: 31 | Issue: 12 | Pages: 3293-3301

10.1111/jce.14762 | PMID 32966655 Get It

AbstractIntroductionTherapies for substrate‐related arrhythmias include ablation or drugs targeted at altering conductive properties or disruption of slow zones in heterogeneous myocardium. Conductive compounds such as carbon nanotubes may provide a novel personalizable therapy for arrhythmia treatment by allowing tissue homogenization.MethodsA nanocellulose carbon nanotube‐conductive hydrogel was developed to have conduction properties similar to normal myocardium. Ex vivo perfused canine hearts were studied. Electroanatomic activation mapping of the epicardial surface was performed at baseline, after radiofrequency ablation, and after uniform needle injections of the conductive hydrogel through the injured tissue. Gross histology was used to assess distribution of conductive hydrogel in the tissue.ResultsThe conductive hydrogel viscosity was optimized to decrease with increasing shear rate to allow expression through a syringe. The direct current conductivity under aqueous conduction was 4.3 × 10−1 S/cm. In four canine hearts, when compared with the homogeneous baseline conduction, isochronal maps demonstrated sequential myocardial activation with a shift in direction of activation to surround the edges of the ablated region. After injection of the conductive hydrogel, isochrones demonstrated conduction through the ablated tissue with activation restored through the ablated tissue. Gross specimen examination demonstrated retention of the hydrogel within the tissue.ConclusionsThis proof‐of‐concept study demonstrates that conductive hydrogel can be injected into acutely disrupted myocardium to restore conduction. Future experiments should focus on evaluating long‐term retention and biocompatibility of the hydrogel through in vivo experimentation.
Abstract 5630: Anti-BCMA bispecific tool therapy against Vk*MYC multiple myeloma is enhanced by IMiDs
Welsh, Seth J. , Garbitt, Victoria M. , Brown, Sochilt , Todd, Kennedi T. , Bergsagel, Marco, Chesi, Marta , Meermeier, Erin W. , Sharik, Meaghen E. , Stein, Caleb K. , Bergsagel, P. Leif

Cancer Research | September 4, 2020 | Volume: 80 | Issue: 16_Supplement | Pages: 5630-5630

10.1158/1538-7445.am2020-5630 Get It

Abstract BCMA is an ideal target antigen for myeloma immunotherapy as it is specifically expressed by plasma cells and T cell-engaging, BCMA-bispecific antibodies show potent tumor killing activity in human multiple myeloma (MM). However, a lack of longevity, potential immunotoxicity, and efficacy in high tumor burden situations are limitations to effective clinical utility. In order to optimize this therapeutic approach, we performed in vitro and in vivo assessments of a BCMA bispecific tool using the Vk*MYC immunocompetent mouse model of MM. Analysis at gene and protein level revealed variable levels of BCMA in Vk*MYC tumors, mirroring the heterogeneity of BCMA observed in human MM. In addition, we found that treatment with a gamma secretase inhibitor enhanced BCMA expression in Vk*MYC MM cells, similar to observations from patients. Having found the Vk*MYC model as a suitable model for BCMA targeted therapy, we treated Vk*MYC de novo and transplant mice with the BCMA targeting tool and established that the treatment was safe and efficacious (significant reduction in M-spike levels compared to control antibody). However, the response was transient and modest activity was noted in high tumor burden setting, likely because of poor T cell infiltration. Therefore, we hypothesized that combining BCMA therapy with agents capable of debulking the tumors would prolong and deepen therapeutic benefits and thus selected IMiDs for their anti-tumor and immunomodulatory properties. Because mice are resistant to therapy with IMiDs, we generated a humanized transgenic mouse strain with robust human CRBN expression and crossed it with the Vk*MYC mouse to obtain a novel immunocompetent, IMiD-responsive model, Vk*MYChCRBN. When combined with the IMiD pomalidomide (POM), bispecific-directed T cell control of MM was enhanced relative to bispecific alone. M-spike levels in two different transplantable models were reduced regardless of tumor burden. In addition, POM increased T cell effector activation, proliferation, and cytokine production. We also monitored transient weight loss unique to the bispecific-POM combination. Following this promising combinatorial result in vivo, we studied the relative roles of POM on target vs. effector cells by an in vitro killing assay using Vk*MYC tumor and splenocytes with or without expression of CRBN. Separately from the direct tumoricidal effects of POM on the tumor, we observed T cell-intrinsic effects of POM on the enhancement of BCMA-bispecific directed tumor lysis that correlated with T cell activation and proliferation. In summary, POM potentiated BCMA-CD3 bispecific directed T cell cytolysis of MM in the Vk*MYChCRBN animal model by enhancing effector cell activation, proliferation, cytokine production and directly reducing tumor burden. These results support ongoing preclinical studies of the benefits of combining standard of care therapy with potent T cell immunotherapy for MM. Citation Format: Erin W. Meermeier, Meaghen E. Sharik, Seth J. Welsh, Caleb K. Stein, Victoria M. Garbitt, Sochilt Brown, Kennedi T. Todd, Marco Bergsagel, P. Leif Bergsagel, Marta Chesi. Anti-BCMA bispecific tool therapy against Vk*MYC multiple myeloma is enhanced by IMiDs [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5630.
Abstract 5622: scRNA-seq reveals restructuring of the immune microenvironment of multiple myeloma following treatment with an IAP antagonist
Welsh, Seth J. , Garbitt, Victoria M. , Chesi, Marta , Stein, Caleb K. , Meermeier, Erin W. , Sharik, Meaghen E. , Bergsagel, P. Leif , Banovich, Nicholas E. , Keats, Jonathan J.

Cancer Research | September 4, 2020 | Volume: 80 | Issue: 16_Supplement | Pages: 5622-5622

10.1158/1538-7445.am2020-5622 Get It

Abstract Previously, the IAP antagonist LCL161 was shown to have robust anti-myeloma activity in a transgenic mouse model where an acute inflammatory response accompanied a reduction in tumor burden. In order to fully examine alterations to the immune microenvironment, murine splenocytes from twenty mice transplanted with Vk12598 myeloma and administered single-agent treatment regimens of LCL161, cyclophosphamide, or bortezomib were harvested after 24 hours and subjected to single cell RNA-seq sequencing. After initial removal of erythrocytic and mitochondrial expressing cells, count matrices of over 50,000 total cells span twenty murine whole spleen samples. In an examination of the myeloid component, we identified 13 clusters of immune cells with unique compositions across samples due to differing treatment regimens and initial tumor burden. While minimally present in all seven non-transplanted mice, macrophages with elevated expression of complement activation system genes (C1q) were the most abundant myeloid cell population in each of our untreated, Vk12598 transplanted mice. Alternatively, populations of cDC2, pDC, moDC, and monocytes lacking expression of MHC class II markers were fixtures for healthy controls while markedly less abundant in tumor-bearing mice. Tumor burdens in three samples subjected to LCL161 therapy were significantly reduced 24-hours post treatment and accompanied by an expansion of late-stage neutrophils and migratory DCs with expression features mirroring those of DCs from mesenteric lymph nodes. This composition of immune cells was distinct from all other sample including those treated with cyclophosphamide or bortezomib. In addition, relative proportions of B, T, and NK cells were nearly fully reconstituted, matching levels observed in healthy controls, in two of these samples. In a direct functional assessment, expression levels of Fscn1 and Ccr7 (key over-expressed genes in these migratory DCs) markedly increased following treatment of bone marrow derived DCs with LCL161. Overall, the transcriptional profile of these migratory DCs indicates their pivotal role in maturation of DCs (Fscn1, Tmem123) as well as the recruitment of T and NKT cells (Cxcl16, Ccr7) and increase in antigen presentation (Cd63)–all of which may serve to ‘warm' tumors, increasing T cell infiltration necessary for immunotherapy approaches. With the increased resolution of scRNA-seq, we observe unique alterations in the composition of the immune microenvironment of MM induced by treatment with LCL161 that further detail its unique mechanism of anti-MM activity. Citation Format: Caleb K. Stein, Erin Meermeier, Seth Welsh, Victoria Garbitt, Meaghen Sharik, P. Leif Bergsagel, Nicholas Banovich, Jonathan Keats, Marta Chesi. scRNA-seq reveals restructuring of the immune microenvironment of multiple myeloma following treatment with an IAP antagonist [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5622.
Abstract PR05: A meta-analysis of genome-wide association study and eQTL analysis of multiple myeloma among African Americans
Du, Zhaohui , Weinhold, Niels , Song, Gregory, Rand, K.A., Hwang, Amie E. , Sheng, Xin , Hom, Victor, Pawlish, Karen , Peters, Edward , Mohrbacher, Ann, Stram, Alexander , Berndt, Sonja I. , Blot, William J. , Stevens, Victoria L. , Goodman, Phyllis J. , Hennis, Anselm , Nemesure, Barbara , Stanford, Janet L. , Witte, John S. , Signorello, Lisa B., John, Esther M. , Stroup, Antoinette M. , Zangari, Maurizio , Zheng, Wei , Hu, Jennifer J. , Carpten, John D. , Mehta, Jayesh, Wolf, Jeffrey L. , Martin, Thomas G. , Terebelo, Howard R. , Janakiraman, Nalini, Kolonel, Laurence N. , Auclair, Daniel , Vij, Ravi , Bernal‐Mizrachi, Leon , Zonder, Jeffrey A. , Huff, Carol Ann , Conti, David V. , Haiman, Christopher A. , John, Esther M , Zheng, Wei , Conti, David V , Berg, David Van Den , Ailawadhi, Sikander , Nooka, Ajay K. , Singhal, Seema , Bock, Cathryn Hufford , Stram, Alex , Casey, Graham , Kittles, Rick A. , Diver, W. Ryan , Klein, Eric A. , Rybicki, Benjamin A. , Bernstein, Leslie , Stephens, Owen , Rhee, Frits van , Olshan, Andrew F. , Ziegler, Regina G. , Nyante, Sarah J. , Ingles, Sue A. , Press, Michael F. , Chanock, Stephen Jacob , Colditz, Graham A. , Tomasson, Michael H. , Fiala, Mark A. , Anderson, Kenneth C. , Marchand, Loı̈c Le , Chiu, Brian C.‐H. , Ziv, Elad , Stram, Daniel O. , Morgan, Gareth J. , Lonial, Sagar , Orlowski, Robert Z. , Cozen, Wendy

Cancer Epidemiology, Biomarkers & Prevention | September 1, 2020 | Volume: 29 | Issue: 6_Supplement_2 | Pages: PR05-PR05

10.1158/1538-7755.disp19-pr05 Get It

Abstract Background: Persons of African ancestry (AA) experience a 1.5-2-fold risk of multiple myeloma (MM) compared to persons of European ancestry (EA). We assembled a set of MM patients with self-reported AA in order to evaluate the contribution of genetics to etiology in this high-risk group. Methods: Here we present the results of a meta-analysis of two GWAS in 1,813 cases and 8,871 controls of AA. We also conducted an admixture mapping scan to identify risk alleles associated with local ancestry, fine-mapped the 23 known susceptibility loci to find markers that could better capture MM risk in individuals of AA, and constructed a polygenic risk score (PRS) to assess the aggregated effect of known MM risk alleles. Finally, we conducted an eQTL analysis measuring gene expression in those genes harboring a risk variant in malignant plasma cells from 292 of the patients from a single site. Results: In GWAS analysis, we identified two suggestive novel loci located at 9p24.3 and 9p13.1 at P<1 × 10-6, but no genome-wide significant association was noted. In admixture mapping, we observed a genome-wide significant inverse association between local AA at 2p24.1-23.1 and MM risk in AA individuals. 20 of the 23 known EA risk variants showed directional consistency and 9 replicated at P<0.05 in AA individuals. In eight regions, we identified markers that better capture MM risk in persons of AA. AA individuals with a PRS in the top 10% had a 1.82-fold (95%CI: 1.56, 2.11) increased MM risk compared to those with average risk (25-75%). The strongest functional association was between the risk allele for variant rs56219066 at 5q15 and lower ELL2 expression (P= 5.1 × 10–12). Conclusion: Our study shows that common genetic variation contributes to MM risk individuals of AA. This abstract is also being presented as Poster C040. Citation Format: Zhaohui Du, Niels Weinhold, Gregory Chi Song, Kristen A. Rand, David J. Van Den Berg, Amie E. Hwang, Xin Sheng, Victor Hom, Sikander Ailawadhi, Ajay K. Nooka, Seema Singhal, Karen Pawlish, Edward Peters, Cathryn Bock, Ann Mohrbacher, Alexander Stram, Sonja I. Berndt, William J. Blot, Graham Casey, Victoria L. Stevens, Rick Kittles, Phyllis J. Goodman, W. Ryan Diver, Anselm Hennis, Barbara Nemesure, Eric A. Klein, Benjamin A. Rybicki, Janet L. Stanford, John S. Witte, Lisa Signorello, Esther M. John, Leslie Bernstein, Antoinette Stroup, Owen W. Stephens, Maurizio Zangari, Frits Van Rhee, Andrew Olshan, Wei Zheng, Jennifer J. Hu, Regina Ziegler, Sarah J. Nyante, Sue Ann Ingles, Michael Press, John David Carpten, Stephen Chanock, Jayesh Mehta, Graham A Colditz, Jeffrey Wolf, Thomas G. Martin, Michael Tomasson, Mark A. Fiala, Howard Terebelo, Nalini Janakiraman, Laurence Kolonel, Kenneth C. Anderson, Loic Le Marchand, Daniel Auclair, Brian C.-H. Chiu, Elad Ziv, Daniel Stram, Ravi Vij, Leon Bernal-Mizrachi, Gareth J. Morgan, Jeffrey A. Zonder, Carol Ann Huff, Sagar Lonial, Robert Z. Orlowski, David V. Conti, Christopher A. Haiman, Wendy Cozen. A meta-analysis of genome-wide association study and eQTL analysis of multiple myeloma among African Americans [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr PR05.
Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
James, Spencer L , Castle, Chris D, Dingels, Zachary V, Fox, Jack T, Hamilton, Erin B, Sylte, Dillon O , Bertolacci, Gregory J, Cunningham, Matthew , LeGrand, Kate E , Abdelalim, Ahmed , Abdulkader, Rizwan Suliankatchi , Abedi, Aidin , Abegaz, Kedir Hussein , Eshete, Akine , Abushouk, Abdelrahman Ibrahim , Adebayo, Oladimeji , Advani, Shailesh M, Agudelo‐Botero, Marcela , Ahmad, Tauseef , Aichour, Miloud Taki Eddine, Alahdab, Fares , Alanezi, Fahad , Alema, Niguse Meles , Wassihun, Biresaw , Ali, Beriwan Abdulqadir, Alipour, Vahid, Almasri, Nihad A. , Altirkawi, Khalid A , Amer, Yasser Sami , Andrei, Cătălina Liliana , Ansari-Moghaddam, Alireza, Antonio, Carl Abelardo T, Anvari, Davood , Appiah, Seth Christopher Yaw , Arabloo, Jalal , Arefi, Zohreh , Aremu, Olatunde , Ariani, Filippo , Arora, Amit , Quintanilla, Beatriz Paulina Ayala , Ayano, Getinet , Ayanore, Martin Amogre , Azarian, Ghasem , Badawi, Alaa, Badiye, Ashish , Baig, Atif Amin , Bairwa, Mohan , Bakhtiari, Ahad , Banerjee, Srikanta , Banik, Palash Chandra , Banstola, Amrit , Barker‐Collo, Suzanne , Bärnighausen, Till , Barzegar, Akbar , Belete, Habte , Bennett, Derrick , Berhe, Kidanemaryam , Bhagavathula, Akshaya Srikanth , Bhardwaj, Pankaj , Bhat, Anusha Ganapati , Bhattacharyya, Krittika , Bhutta, Zulfiqar A , Bibi, Sadia , Bijani, Ali , Borschmann, Rohan , Borzì, Antonio Maria , Braithwaite, Dejana , Брико, Н. И. , Brugha, Traolach , Budhathoki, Shyam Sundar , Car, Josip , Cárdenas, Rosario , Carvalho, Félix , Castaldelli-Maia, João Maurício , Castañeda-Orjuela, Carlos A , Castelpietra, Giulio , Catalá-López, Ferrán , Cerin, Ester , Chandan, Joht Singh , Chapman, Jens R. , Chattu, Vijay Kumar , Chattu, Soosanna Kumary , Chaudhary, Neha , Cho, Daniel , Choi, Jee-Young J, Chowdhury, Mohiuddin Ahsanul Kabir , Christopher, Devasahayam Jesudas , Chu, Dinh‐Toi , Costa, Vera Marisa , Dávila-Cervantes, Claudio Alberto , Leo, Diego De, Demoz, Gebre Teklemariam , Demsie, Desalegn Getnet , Deribe, Kebede , Desai, Rupak , Nasab, Mostafa Dianati, Silva, Diana Dias da , Forooshani, Zahra Sadat Dibaji, Doyle, Kerrie , Driscoll, Tim , Dubljanin, Eleonora , Adema, Bereket Duko , Eagan, Arielle Wilder , Elemineh, Demelash Abewa , El‐Khatib, Ziad , Ellingsen, Christian Lycke , Eyawo, Oghenowede , Faris, Pawan , Faro, André , Farzadfar, Farshad , Fereshtehnejad, Seyed-Mohammad , Fernandes, Eduarda , Ferrara, Pietro , Fischer, Florian , Foláyan, Morẹ́nikẹ́ Oluwátóyìn , Fomenkov, Artem Alekseevich , Francis, Joel M , Fukumoto, Takeshi , Geberemariyam, Biniyam Sahiledengle, Gebremariam, Hadush, Gebremedhin, Ketema Bizuwork , Gebremeskel, Leake , Gebremeskel, Gebreamlak Gebremedhn , Gebremichael, Berhe , Geta, Birhanu, Ghafourifard, Mansour , Ghamari, Farhad , Gheshlagh, Reza Ghanei , Gholamian, Asadollah , Gilani, Syed Amir , Gill, Tiffany K, Goulart, Alessandra C. , Grada, Ayman , Guo, Yuming , Haagsma, Juanita A. , Hall, Brian J. , Hamadeh, Randah R , Hassan, Shoaib, Hassen, Hamid Yimam , Havmoeller, Rasmus, Heydarpour, Fatemeh , Hı́jar, Martha , Ho, Hung Chak , Hoang, Chi Linh , Hole, Michael K., Hossain, Naznin , Hosseinzadeh, Mehdi , Hostiuc, Sorin , Ibitoye, Segun Emmanuel , Inbaraj, Leeberk Raja , Irvani, Seyed Sina Naghibi , Islam, M. Mofizul , Islam, Sheikh Mohammed Shariful , Ivers, Rebecca , Jahani, Mohammad Ali, Jakovljević, Mihajlo , Jayaraman, Sudha , Jha, Ravi Prakash , John-Akinola, Yetunde O. , Joseph, Nitin , Joukar, Farahnaz, Jürisson, Mikk , Kahsay, Amaha , Kalankesh, Leila R , Kalhor, Rohollah , Kamil, Teshome Abegaz, Kapoor, Neeti , Karami, Manoochehr , Kasaeian, Amir , Kassaye, Hagazi Gebremedhin, Kavetskyy, Taras , Kayode, Gbenga A , Keiyoro, Peter Njenga, Kelbore, Abraham Getachew , Khader, Yousef , Khafaie, Morteza Abdullatif , Khalid, Nauman , Khalil, Ibrahim A, Khalilov, Rovshan , Khan, Maseer , Khan, Ejaz Ahmad , Khan, Junaid , Khanna, Tripti, Khundkar, Roba , Kiirithio, Daniel N, Kim, Yun Jin , Kısa, Sezer , Kısa, Adnan , Komaki, Hamidreza , Kondlahalli, Shivakumar K M, Koolivand, Ali , Korshunov, Vladimir Andreevich , Kraemer, Moritz U. G. , Krishan, Kewal , Defo, Barthélémy Kuate , Biçer, Burcu Küçük , Kugbey, Nuworza , Kumar, Manasi , Kumar, Vivek , Kumar, Narinder , Kumaresh, Girikumar, Lami, Faris , Lasrado, Savita , Leasher, Janet L , Li, Shanshan , Liu, Xuefeng , Lyons, Ronan A , Machado, Daiane Borges , Madadin, Mohammed , Razek, Muhammed Magdy Abd El, Mahotra, Narayan Bahadur , Majdán, Marek , Majeed, Azeem , Maled, Venkatesh , Manafi, Navid , Manafi, Amir , Manda, Ana-Laura, Mansour-Ghanaei, Fariborz, Mason‐Jones, Amanda J. , Masoumi, Seyedeh Zahra , Massenburg, Benjamin B. , Maulik, Pallab K , Mehndiratta, Man Mohan, Melketsedik, Zeleke Aschalew , Memiah, Peter , Mendoza, Walter, Menezes, Ritesh G. , Mengesha, Melkamu Merid , Meretoja, Tuomo J , Meretoja, Atte , Merie, Hayimro Edemealem , Miazgowski, Bartosz , Miazgowski, Tomasz , Miller, Ted R. , Mini, GK , Мirrakhimov, Erkin М , Mithra, Prasanna , Moghadaszadeh, Masoud, Mohammad, Yousef , Mohammadian-Hafshejani, Abdollah , Mohammed, Shafiu , Mohammed, Jemal , Bandpei, Mohammad Ali Mohseni, Molokhia, Mariam , Monasta, Lorenzo , Moodley, Yoshan , Moradi, Masoud , Moradi, Ghobad , Morawska, Lídia , Velásquez, Ilais Moreno , Mossie, Tilahun Belete , Musa, Kamarul Imran , Mustafa, Ghulam , Naderi, Mehdi , Nagarajan, Ahamarshan Jayaraman , Naik, Gurudatta , Naimzada, Mukhammad David , Nangia, Vinay, Nascimento, Bruno Ramos , Naserbakht, Morteza , Ndwandwe, Duduzile , Negoi, Ionuţ , Ngunjiri, Josephine W, Nguyen, Cuong Tat , Nguyen, Diep Ngoc , Nikbakhsh, Rajan , Ningrum, Dina Nur Anggraini , Nnaji, Chukwudi A , Ofori‐Asenso, Richard , Ogbo, Felix Akpojene , Oghenetega, Onome Bright , Olagunju, Andrew T , Olagunju, Tinuke O , Bali, Ahmed Omar , Onwujekwe, Obinna , Orpana, Heather , Otstavnov, Nikita , Otstavnov, Stanislav S , Mahesh, P A , Padubidri, Jagadish Rao , Pakhalé, Smita , Pakshir, Keyvan , Panda‐Jonas, Songhomitra, Park, Eun‐Kee , Patel, Sangram Kishor , Pathak, Ashish , Pati, Sanghamitra , Paulos, Kebreab , Pepito, Veincent Christian Filipino , Полибин, Р. В. , Polinder, Suzanne, Pourmalek, Farshad , Pourshams, Akram , Poustchi, Hossein, Prakash, Swayam , Pribadi, Dimas Ria Angga , Puri, Parul , Syed, Zahiruddin Quazi, Rabiee, Navid , Radfar, Amir , Rafay, Anwar, Rafiee, Ata , Rafiei, Alireza , Rahim, Fakher , Rahman, Muhammad Aziz , Rajabpour-Sanati, Ali, Rajati, Fatemeh , Rakovac, Ivo , Rao, Sowmya J, Rashedi, Vahid , Rawal, Lal , Rawassizadeh, Reza , Renjith, Vishnu , Resnikoff, Serge , Rezapour, Aziz, Rickard, Jennifer , Saddik, Basema , Safdarian, Mahdi , Sajadi, S. Mohammad , Salamati, Payman, Salem, Marwa Rashad , Salem, Hosni , Salz, Inbal, Samy, Abdallah M , Sanabria, Juan , Sànchez-Riera, Lídia , Sarveazad, Arash , Sathian, Brijesh , Sawhney, Monika, Schwebel, David C. , Seedat, Soraya , Senthilkumaran, Subramanian , Seyedmousavi, Seyedmojtaba , Sha, Feng , Shaahmadi, Faramarz , Shaikh, Masood Ali , Shams-Beyranvand, Mehran , Shigematsu, Mika, Shin, Jae Il , Shiri, Rahman , Sigfúsdóttir, Inga Dóra, Singh, Pankaj Kumar , Sinha, Dhirendra Narain , Soriano, Joan B. , Soyiri, Ireneous N , Sufiyan, Mu’awiyyah Babale , Sykes, Bryan L. , Tabarés‐Seisdedos, Rafael , Tabb, Karen M. , Wogayehu, Biruk , Tefera, Yibekal Manaye , Tekulu, Gebretsadkan Hintsa , Kassie, Ayenew , Титова, М. В. , Tlaye, Kenean Getaneh , Tohidinik, Hamid Reza , Topór-Mądry, Roman , Tripathy, Jaya Prasad , Tsai, Alexander C. , Tsatsakis, Aristidis , Car, Lorainne Tudor , Ullah, Irfan , Ullah, Saif , Upadhyay, Era , Valdéz, Pascual , Violante, Francesco Saverio , Waheed, Yasir , Wang, Yuan‐Pang , Wiangkham, Taweewat , Wolde, Haileab Fekadu , Woldeyes, Dawit Habte , Wu, Ai-Min, Wyper, Grant M. A. , Yadav, Rajaram , Yadollahpour, Ali , Yano, Yuichiro , Yaya, Sanni , Yazdi‐Feyzabadi, Vahid , Ye, Pengpeng , Yisma, Engida , Yoon, Seok‐Jun , Youm, Yoosik , Younis, Mustafa Z , Yousefi, Zabihollah , Yu, Yong , Moghadam, Telma Zahirian , Zaman, Sojib Bin , Zarei, Fatemeh , Zhang, Zhi-Jiang, Zhang, Yunquan , Zodpey, Sanjay , Dandona, Rakhi , Dharmaratne, Samath Dhamminda , Hay, Simon I , Mokdad, Ali H. , Reiner, Robert C. , Vos, Theo , Topór‐Mądry, Roman , Feyissa, Garumma Tolu , Haghparast‐Bidgoli, Hassan , Kumar, G Anil , Zahiruddin, Quazi Syed , Dianatinasab, Mostafa , Sanati, Ali Rajabpour , Baig, Atif Amin , Kumar, Vivek , Castaldelli-Maia, João M , Farzadfar, Farshad , Shin, Jae I L , Islam, Sheikh Mohammed Shariful , Rahman, Muhammad Aziz , Bhagavathula, Akshaya Srikanth , Belete, T , Liu, Zichen , Roberts, Nicholas L S , Henry, Nathaniel J , Abdollahpour, Ibrahim , Adsuar, José Carmelo , Ahmed, Muktar Beshir , Ahmed, Rushdiá , Alghnam, Suliman Abdullah , Ali, Saqib , Alinia, Cyrus , Aljunid, Syed Mohamed , Almasi‐Hashiani, Amir , Antonio, Carl Abelardo T. , Arab-Zozani, Morteza , Asaad, Malke , Balachandran, Arun , Banach, Maciej , Bayati, Mohsen , Bazargan‐Hejazi, Shahrzad , Bedi, Neeraj , Behzadifar, Masoud , Benseñor, Isabela M. , Boloor, Archith , Borges, Guilherme , Boufous, Soufiane , Chatziralli, Irini , Cicuttini, Flavia , Coelho, João M, Dahlawi, Saad M A , Daryani, Ahmad , Demeke, Feleke Mekonnen , Forooshani, Zahra Sadat Dibaji, Do, Hoa , Duko, Bereket , El-Jaafary, Shaimaa I , Zaki, Maysaa El Sayed , Eskandarieh, Sharareh , Foroutan, Masoud , Franklin, Richard C. , Gebremariam, Hadush, Gedefaw, Getnet , Bante, Agegnehu , Gill, Tiffany K. , Goudarzian, Amir Hossein , Grivna, Michal , Guimarães, Rafael Alves , Gupta, Gaurav Kumar , Hamidi, Samer , Handiso, Demelash Woldeyohannes , Haro, Josep María , Hasanzadeh, Amir , Hassanipour, Soheil , Hassankhani, Hadi , Hendrie, Delia V. , Holla, Ramesh , Hu, Guoqing , Ilesanmi, Olayinka Stephen , Jalilian, Farzad , Jayatilleke, Achala Upendra , Jonas, Jost B , Jones, Kelly , Jozwiak, Jacek Jerzy , Jungari, Suresh Banayya , Kabir, Ali , Kanchan, Tanuj , Khalil, Ibrahim A, Khazaei, Salman , Khazaie, Habibolah , Kim, Young‐Eun , Kim, Daniel , Shivakumar, KM , Koyanagi, Ai , Kumar, Nithin , Lansingh, Van Charles , Latifi, Arman , Lauriola, Paolo , Vecchia, Carlo La , Lee, Shaun Wen Huey , Lopez, Alan D , Lotufo, Paulo A. , Malta, Déborah Carvalho , Manjunatha, Narayana , Mansour‐Ghanaei, Fariborz , Mansournia, Mohammad Alì , Maravilla, Joemer Calderon , Aschalew, Zeleke , Meštrović, Tomislav , Mirică, Andreea , Mirzaei-Alavijeh, Mehdi, Moazen, Babak , Mohamadi, Efat , Darwesh, Aso Mohammad , Mohammadpourhodki, Reza , Mohebi, Farnam , Moradi‐Lakeh, Maziar , Moradzadeh, Rahmatollah , Morrison, Shane D. , Muluneh, Atalay Goshu , Najafi, Farid , Nayak, Vinod C , Nazari, Javad , Nguyen, Trang Huyen , Nguyen, Huong Lan Thi , Oh, In‐Hwan , Ota, Erika , Peden, Amy E. , Pereira, Jeevan , Phillips, Michael , Rabiee, Mohammad , Rahimi, Siavash , Rastogi, Prateek , Rathi, Priya , Rawaf, Salman , Ribeiro, Ana Isabel , Ríos-González, Carlos Miguel , Roever, Leonardo , Ronfani, Luca , Roshandel, Gholamreza , Safarpour, Hamid , Salamati, Payman, Santric-Milicevic, Milena M , Sarker, Abdur Razzaque , Sayyah, Mehdi , Shahabi, Saeed , Sheikh, Aziz , Siabani, Soraya , Singh, Ambrish , Soheili, Amin , Sorrie, Muluken Bekele , Stokes, Mark Andrew , Tehrani‐Banihashemi, Arash , Tesfay, Berhe Etsay , Thapar, Rekha , Tran, Khanh Bao , Tran, Bach Xuan , Unnikrishnan, Bhaskaran , Uthman, Olalekan Abdulrahman , Vasankari, Tommi Juhani , Veisani, Yousef , Venketasubramanian, Narayanaswamy , Vlassov, Vasily , Wondmeneh, Temesgen Gebeyehu , Wondmieneh, Adam Belay , YIP, PAUL S. F. , Yonemoto, Naohiro , Yu, Chuanhua , Zaidi, Zoubida , Zamani, Mohammad , Zandian, Hamed , Zhang, Zhi‐Jiang , Ziapour, Arash , Pigott, David M. , Olagunju, Andrew T , Baig, Atif Amin , Desai, Rupak , Alahdab, Fares , Rahim, Fakher

Injury Prevention | August 24, 2020 | Volume: 26 | Issue: Suppl 2 | Pages: i125-i153

10.1136/injuryprev-2019-043531 | PMID 32839249 Get It

Background While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. Results GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. Conclusions GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.
Comparison of endoscopic ultrasound-guided fine-needle biopsy versus fine-needle aspiration for genomic profiling and DNA yield in pancreatic cancer: a randomized crossover trial
Kandel, Pujan , Gómez, Victoria , Woodward, Timothy A., Fares, Natalie S., Wallace, Michael B. , Raimondo, Massimo , Crook, Julia E. , Wallace, Michael B , Nassar, Aziza

Endoscopy | August 7, 2020 | Volume: 53 | Issue: 04 | Pages: 376-382

10.1055/a-1223-2171 | PMID 32767288 Get It

Abstract Background National guidelines recommend genomic profiling of tumor tissue to guide precision therapy. We compared the specimen adequacy for genomic profiling and yield of DNA between endoscopic ultrasound (EUS)-guided fine-needle biopsy (FNB) and EUS-guided fine-needle aspiration (FNA). Methods In our tandem, randomized controlled trial, consecutive patients undergoing EUS for evaluation of pancreatic masses underwent both conventional EUS-FNA with a 25-gauge needle and paired EUS-FNB (19 or 22-gauge needle), with the order randomized (EUS-FNA first followed by EUS-FNB, or vice versa). A minimum of one pass with each needle was obtained for histology. Second and third passes were performed to collect DNA. Specimens were evaluated by a cytopathologist blinded to the needle type. Specimen adequacy for genomic profiling was calculated based on FoundationOne clinical diagnostic (CDx) adequacy requirements. We compared the adequacy for genomic profiling DNA (quantity) and histology yields with both needles. Results Analysis included 50 patients (25 men; mean age 68 [standard deviation (SD) 13] years), with a mean lesion size of 38 (SD 17) mm; 37 lesions (74 %) were pancreatic ductal adenocarcinoma (PDAC). The mean DNA concentrations in PDAC by FNB and FNA needles were 5.930 (SD 0.881) µg/mL vs. 3.365 (SD 0.788) µg/mL, respectively (P = 0.01). The median standardized histology score per pass with EUS-FNB was 5 (sufficient for histology) and for EUS-FNA was 2 (enough for cytology). Specimen adequacy for genomic profiling and yield of DNA was significantly higher with FNB than with FNA needles. Conclusions In this study, adequacy for genomic profiling, DNA, and histology yield were considerably superior using an EUS-FNB needle compared with an EUS-FNA needle.
Predominant and novel de novo variants in 29 individuals with ALG13 deficiency: Clinical description, biomarker status, biochemical analysis, and treatmen
Ng, Bobby G. , Eklund, Erik A. , Shiryaev, Sergey A., Dong, Yin Yao , Abbott, Mary‐Alice , Asteggiano, Carla , Bamshad, Michael J. , Barr, Eileen , Bernstein, Jonathan A. , Chelakkadan, Shabeed, Ciliberto, Michael A. , Cousin, Janice, Gardiner, Fiona, Ghosh, Suman , Graf, W. , Grünewald, Stephanie , Hammond, Katherine, Hauser, Natalie , Hoganson, George, Houck, Kimberly , Kohler, Jennefer N., Liu, Pengfei , Madathil, Sujana , McCormack, Colleen E., Meeks, Naomi, Miller, Rebecca L. , Monaghan, Kristin G. , Nickerson, Deborah A. , Palculict, Timothy Blake, Papazoglu, Gabriela M., Pletcher, Beth A. , Scheffer, Ingrid E. , Schenone, Andrea, Schnur, Rhonda E. , Si, Yue , Rowe, Leah J., Russi, Alvaro H. Serrano, Russo, Rossana Sanchez , Thabet, Farouq , Tuite, Allysa , Villanueva, Marıá Mercedes, Webster, Richard , Wilson, Dorcas, Zalan, Alice, Wolfe, Lynne A. , Rhodes, Lindsay, Scheffer, Ingrid E , Ng, Bobby G , Christodoulou, John , Chung, Wendy K. , Morava, Éva , Larson, Austin , Miller, Rebecca, Monaghan, Kristin G. , Rowe, Leah J., Wang, Raymond , Rosenfeld, Jill A. , Freeze, Hudson H.

Journal of Inherited Metabolic Disease | July 18, 2020 | Volume: 43 | Issue: 6 | Pages: 1333-1348

10.1002/jimd.12290 | PMID 32681751 Get It

Abstract Asparagine‐linked glycosylation 13 homolog ( ALG13 ) encodes a nonredundant, highly conserved, X‐linked uridine diphosphate (UDP)‐ N ‐acetylglucosaminyltransferase required for the synthesis of lipid linked oligosaccharide precursor and proper N‐linked glycosylation. De novo variants in ALG13 underlie a form of early infantile epileptic encephalopathy known as EIEE36, but given its essential role in glycosylation, it is also considered a congenital disorder of glycosylation (CDG), ALG13‐CDG. Twenty‐four previously reported ALG13‐CDG cases had de novo variants, but surprisingly, unlike most forms of CDG, ALG13‐CDG did not show the anticipated glycosylation defects, typically detected by altered transferrin glycosylation. Structural homology modeling of two recurrent de novo variants, p.A81T and p.N107S, suggests both are likely to impact the function of ALG13. Using a corresponding ALG13‐deficient yeast strain, we show that expressing yeast ALG13 with either of the highly conserved hotspot variants rescues the observed growth defect, but not its glycosylation abnormality. We present molecular and clinical data on 29 previously unreported individuals with de novo variants in ALG13 . This more than doubles the number of known cases. A key finding is that a vast majority of the individuals presents with West syndrome, a feature shared with other CDG types. Among these, the initial epileptic spasms best responded to adrenocorticotropic hormone or prednisolone, while clobazam and felbamate showed promise for continued epilepsy treatment. A ketogenic diet seems to play an important role in the treatment of these individuals.
International consensus guidelines for phosphoglucomutase 1 deficiency ( PGM1‐CDG ): Diagnosis, follow‐up, and management
Altassan, Ruqaiah , Radenkovic, Silvia , Edmondson, Andrew C. , Barone, Rita , Brasil, Sandra , Čechová, Anna , Coman, David , Donoghue, Sarah , Falkenstein, Kristina , Ferreira, Vanessa dos Reis , Fiumara, Agata , Francisco, Rita , Grünewald, Stephanie , Jaeken, Jaak , Krasnewich, Donna M., Lam, Christina , Lefeber, Dirk J. , Marques‐da‐Silva, Dorinda , Pascoal, Carlota , Quelhas, Dulce , Raymond, Kimiyo , Rymen, Daisy , Seroczyńska, Małgorzata, Serrano, Mercedes , Thiel, Christian , Tort, Frederic , Vals, Mari‐Anne , Videira, Paula A. , Raymond, Kimiyo M, Donoghue, Sarah E , Edmondson, Andrew C , Pascoal, Carlota , Videira, Paula A , Ferreira, Carlos R , Freeze, Hudson H. , Honzík, Tomáš , Lee, Joy Li-Yueh , Sykut‐Cegielska, Jolanta , Voermans, Nicol Cornelia , Witters, Peter , Morava, Éva

Journal of Inherited Metabolic Disease | July 18, 2020 | Volume: 44 | Issue: 1 | Pages: 148-163

10.1002/jimd.12286 | PMID 32681750 Get It

Abstract Phosphoglucomutase 1 (PGM1) deficiency is a rare genetic disorder that affects glycogen metabolism, glycolysis, and protein glycosylation. Previously known as GSD XIV, it was recently reclassified as a congenital disorder of glycosylation, PGM1‐CDG. PGM1‐CDG usually manifests as a multisystem disease. Most patients present as infants with cleft palate, liver function abnormalities and hypoglycemia, but some patients present in adulthood with isolated muscle involvement. Some patients develop life‐threatening cardiomyopathy. Unlike most other CDG, PGM1‐CDG has an effective treatment option, d ‐galactose, which has been shown to improve many of the patients' symptoms. Therefore, early diagnosis and initiation of treatment for PGM1‐CDG patients are crucial decisions. In this article, our group of international experts suggests diagnostic, follow‐up, and management guidelines for PGM1‐CDG. These guidelines are based on the best available evidence‐based data and experts' opinions aiming to provide a practical resource for health care providers to facilitate successful diagnosis and optimal management of PGM1‐CDG patients.