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327 citation(s) found for "Yu, Zhi".

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.
Disproportionate loss of excitatory inputs to smaller phrenic motor neurons following cervical spinal hemisection
Rana, Sabhya , Zhan, Wen‐Zhi, Rana, S , Mantilla, Carlos B. , Sieck, Gary C.

The Journal of Physiology | July 31, 2020 | Volume: 598 | Issue: 20 | Pages: 4693-4711

10.1113/jp280130 | PMID 32735344 Get It

Key points Motor units, comprising a motor neuron and the muscle fibre it innervates, are activated in an orderly fashion to provide varying amounts of force. A unilateral C2 spinal hemisection (C2SH) disrupts predominant excitatory input from medulla, causing cessation of inspiratory‐related diaphragm muscle activity, whereas higher force, non‐ventilatory diaphragm activity persists. In this study, we show a disproportionately larger loss of excitatory glutamatergic innervation to small phrenic motor neurons (PhMNs) following C2SH, as compared with large PhMNs ipsilateral to injury. Our data suggest that there is a dichotomy in the distribution of inspiratory‐related descending excitatory glutamatergic input to small vs. large PhMNs that reflects their differential recruitment. AbstractExcitatory glutamatergic input mediating inspiratory drive to phrenic motor neurons (PhMNs) emanates primarily from the ipsilateral ventrolateral medulla. Unilateral C2 hemisection (C2SH) disrupts this excitatory input, resulting in cessation of inspiratory‐related diaphragm muscle (DIAm) activity. In contrast, after C2SH, higher force, non‐ventilatory DIAm activity persists. Inspiratory behaviours require recruitment of only smaller PhMNs, whereas with more forceful expulsive/straining behaviours, larger PhMNs are recruited. Accordingly, we hypothesize that C2SH primarily disrupts glutamatergic synaptic inputs to smaller PhMNs, whereas glutamatergic synaptic inputs to larger PhMNs are preserved. We examined changes in glutamatergic presynaptic input onto retrogradely labelled PhMNs using immunohistochemistry for VGLUT1 and VGLUT2. We found that 7 days after C2SH there was an ∼60% reduction in glutamatergic inputs to smaller PhMNs compared with an ∼35% reduction at larger PhMNs. These results are consistent with a more pronounced impact of C2SH on inspiratory behaviours of the DIAm, and the preservation of higher force behaviours after C2SH. These results indicate that the source of glutamatergic synaptic input to PhMNs varies depending on motor neuron size and reflects different functional control – perhaps separate central pattern generator and premotor circuits. For smaller PhMNs, the central pattern generator for inspiration is located in the pre‐Bötzinger complex and premotor neurons in the ventrolateral medulla, sending predominantly ipsilateral projections via the dorsolateral funiculus. C2SH disrupts this glutamatergic input. For larger PhMNs, a large proportion of excitatory inputs appear to exist below the C2 level or from contralateral regions of the brainstem and spinal cord.
Expression of Nras Q61R and MYC transgene in germinal center B cells induces a highly malignant multiple myeloma in mice
Wen, Zhi , Rajagopalan, Adhithi , Flietner, Evan, Yun, Grant, Chesi, Marta , Furumo, Quinlan, Burns, Robert T., Papadas, Athanasios , Ranheim, Erik A. , Pagenkopf, Adam , Morrow, Zachary , Finn, Remington, Zhou, Yun , Li, Shuyi , Jensen, Jeffrey L. , Yu, Mei , Cicala, Alexander , Menting, James, Mitsiades, Constantine S. , Bergsagel, P. Leif , Wang, Demin , Asimakopoulos, Fotis , Zhang, Jing , Bergsagel, P. Leif , Wang, Demin , Burns, Robert T., You, Xiaona , Yu, Mei, Callander, Natalie S.

Blood | July 8, 2020 | Volume: 137 | Issue: 1 | Pages: 61-74

10.1182/blood.2020007156 | PMID 32640012 Get It

Abstract NRAS Q61 mutations are prevalent in advanced/relapsed multiple myeloma (MM) and correlate with poor patient outcomes. Thus, we generated a novel MM model by conditionally activating expression of endogenous NrasQ61R and an MYC transgene in germinal center (GC) B cells (VQ mice). VQ mice developed a highly malignant MM characterized by a high proliferation index, hyperactivation of extracellular signal-regulated kinase and AKT signaling, impaired hematopoiesis, widespread extramedullary disease, bone lesions, kidney abnormalities, preserved programmed cell death protein 1 and T-cell immunoreceptor with immunoglobulin and immunoreceptor tyrosine-based inhibition motif domain immune-checkpoint pathways, and expression of human high-risk MM gene signatures. VQ MM mice recapitulate most of the biological and clinical features of human advanced/high-risk MM. These MM phenotypes are serially transplantable in syngeneic recipients. Two MM cell lines were also derived to facilitate future genetic manipulations. Combination therapies based on MEK inhibition significantly prolonged the survival of VQ mice with advanced-stage MM. Our study provides a strong rationale to develop MEK inhibition–based therapies for treating advanced/relapsed MM.
TIGIT Expression Is Associated with T-cell Suppression and Exhaustion and Predicts Clinical Outcome and Anti–PD-1 Response in Follicular Lymphoma
Yang, Zhi‐Zhang, Jalali, Shahrzad , Tang, Xinyi , Krull, Jordan E. , Ding, Wei , Novak, Anne J. , Ansell, Stephen M. , Tang, Xinyi , Krull, Jordan E , Kim, Hyo Jin , Wu, Hongyan

Clinical Cancer Research | July 6, 2020 | Volume: 26 | Issue: 19 | Pages: 5217-5231

10.1158/1078-0432.ccr-20-0558 | PMID 32631956 Get It

Abstract Purpose: T-cell immunoglobulin and ITIM domain (TIGIT), a member of the immune checkpoint family, is important in normal T-cell biology. However, the phenotypical profile and clinical relevance of TIGIT in follicular lymphoma is largely unknown. Experimental Design: Biopsy specimens from a cohort of 82 patients with follicular lymphoma were analyzed using mass cytometry to explore the phenotype and biological and clinical significance of TIGIT+ T cells. Results: TIGIT is highly expressed on intratumoral T cells and its expression alters T-cell phenotype in follicular lymphoma. TIGIT is abundantly expressed on Treg cells, resulting in an enhanced suppressive property. TIGIT expression on non-Treg/TFH T cells defines a population that exhibits an exhausted phenotype. Clinically, increased numbers of TIGIT+ T cells are associated with inferior patient outcomes and poor survival. We observe that anti–PD-1 therapy with pembrolizumab alters the phenotype of TIGIT+ T subsets and identifies a role for CD28 expression on TIGIT+ T cells in treatment response. Conclusions: The current study provides a comprehensive analysis of the phenotypic profile of intratumoral TIGIT+ T subsets and their prognostic relevance in follicular lymphoma. Inhibition of TIGIT signaling may be an additional mechanism to prevent T-cell suppression and exhaustion in B-cell lymphoma.
Prognostic relevance of CD4+ T-cells in the microenvironment of newly diagnosed follicular lymphoma (FL) patients is independent of the tumor gene expression profile.
Feldman, Andew L., Huet, Sarah , Tesson, Bruno , Novak, Anne J. , Nowakowski, Grzegorz S. , Ansell, Stephen M. , Mondello, Patrizia , Famà, Angelo , Larson, Melissa C. , Yang, Zhi-Zhang , Villasboas, José C. , Slager, Susan L. , Link, Brian K. , Syrbu, Sergei , Habermann, Thomas M. , Witzig, Thomas E. , Salles, Gilles , Cerhan, James R.

Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: 8052-8052

10.1200/jco.2020.38.15_suppl.8052 Get It

8052 Background: A significant proportion of patients with FL experience an early relapse and a subsequent poor outcome. While several prognostic indices have been developed, none were designed to predict early failure. Recently, we established that lack of intrafollicular CD4+ T-cell expression predicted risk of early failure, and integrating this microenvironment biomarker with the Follicular Lymphoma International Prognostic Index, termed BioFLIPI, further improved identification of FL patients at risk of early failure ( Blood 2019;134(suppl1):121). However, the microenvironment may be influenced by the genetic composition of tumor. We investigated whether the CD4 biomarker and BioFLIPI were impacted by genetic features of the tumor as assessed by a 23-gene expression prognostic score ( Lancet Oncol 2018;19:549-61). Methods: Of the 186 cases with FL grade 1-3A treated with immunochemotherapy (IC) in our prior study, 152 had digital expression quantification of 23 selected genes (23-GEP score), which used RNA from formalin-fixed, paraffin-embedded samples. Event-free survival (EFS) was defined as time from diagnosis to progression, relapse, retreatment, or death. Early failure was defined as failing to achieve EFS at 24 months. Risk of early failure was estimated using odds ratios (ORs) and 95% confidence intervals from logistic regression models. We also used Cox regression to assess associations with continuous EFS and overall survival (OS). Results: 28% of patients failed to achieve EFS24. Lack of CD4+ intrafollicular expression (38% of patients, OR = 2.33, p = 0.024) and high risk 23-GEP score (26% of patients, OR = 3.52, p = 0.001) each predicted early failure, and in a multivariable model that included FLIPI, both CD4+ (OR = 2.26, p = 0.046) and 23-GEP score (OR = 2.26, p = 0.0.057) remained predictors. Similarly, BioFLIPI modeled as a continuous score (1-4, OR per one point increase = 2.31, p < 0.001) predicted early failure, and the association remained (OR = 2.14, p < 0.001) when the high risk 23-GEP score (OR = 2.79, p = 0.013) was included in the model. When stratified on 23-GEP score, BioFLIPI was a stronger predictor of early failure in low risk (74%, OR = 2.51, p = 0.002) relative to high risk (26%, OR = 1.55, p = 0.27) patients. Similar patterns were observed for EFS and OS. Conclusions: CD4+ T-cell infiltrate and tumor gene expression appear to be independently predictive of early failure in newly diagnosed FL patients treated with IC. Future studies should integrate and validate these measures.
Global injury morbidity and mortality from 1990 to 2017: results from the Global Burden of Disease Study 2017
James, Spencer L , Castle, Chris D, Dingels, Zachary V, Fox, Jack T, Hamilton, Erin B, Sylte, Dillon O , Henry, Nathaniel J , LeGrand, Kate E , Abdelalim, Ahmed , Abdulkader, Rizwan Suliankatchi , Abedi, Aidin , Eshete, Akine , Abushouk, Abdelrahman Ibrahim , Adebayo, Oladimeji , Agudelo‐Botero, Marcela , Ahmad, Tauseef , Aichour, Miloud Taki Eddine, Alahdab, Fares , Alamene, Genet Melak, Alanezi, Fahad , Alebel, Animut , Alema, Niguse Meles , Ali, Beriwan Abdulqadir, Alikhani, Mahtab , Alipour, Vahid, Almasri, Nihad A. , Altirkawi, Khalid A , Amer, Yasser Sami , Amini, Saeed, Amit, Arianna Maever L. , Andrei, Cătălina Liliana , Ansari-Moghaddam, Alireza, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw , Arabloo, Jalal , Arefi, Zohreh , Aremu, Olatunde , Ariani, Filippo , Arora, Amit , Asghari, Babak , Awoke, Nefsu , Quintanilla, Beatriz Paulina Ayala , Ayano, Getinet , Ayanore, Martin Amogre , Azari, Samad , Azarian, Ghasem , Badawi, Alaa, Badiye, Ashish , Bagli, Eleni , Baig, Atif Amin , Bairwa, Mohan , Bakhtiari, Ahad , Banach, Maciej , Banerjee, Srikanta , Banik, Palash Chandra , Banstola, Amrit , Barker‐Collo, Suzanne , Bärnighausen, Till , Barrero, Lope H. , Barzegar, Akbar , Baye, Bayisa Abdissa , Bekuma, Tariku Tesfaye , Belete, Habte , Bennett, Derrick , Berhe, Kidanemaryam , Bhardwaj, Pankaj , Bhat, Anusha Ganapati , Bhattacharyya, Krittika , Bijani, Ali , Sayeed, Muhammad Shahdaat Bin , Borzì, Antonio Maria , Bražinová, Alexandra, Брико, Н. И. , 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 , Chanie, Wagaye Fentahun, Chattu, Soosanna Kumary , Chattu, Vijay Kumar , Chaudhary, Neha , Cho, Daniel , Chowdhury, Mohiuddin Ahsanul Kabir , Chu, Dinh‐Toi , Colquhoun, Samantha , Costa, Vera Marisa , Damiani, Giovanni , Dávila-Cervantes, Claudio Alberto , Demoz, Gebre Teklemariam , Demsie, Desalegn Getnet , Derakhshani, Afshin , 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 , Eftekhari, Aziz , Ehsani‐Chimeh, Elham , Elemineh, Demelash Abewa , El-Jaafary, Shaimaa I , El‐Khatib, Ziad , Ellingsen, Christian Lycke , Emamian, Mohammad Hassan , Endalew, Daniel Adane , Faris, Pawan , Faro, André , Farzadfar, Farshad , Fatahi, Yousef , Fekadu, Wubalem , Ferede, Tomas Y, Fereshtehnejad, Seyed‐Mohammad , Fernandes, Eduarda , Ferrara, Pietro , Feyissa, Garumma Tolu , Fischer, Florian , Foláyan, Morẹ́nikẹ́ Oluwátóyìn , Francis, Joel M , Fukumoto, Takeshi , Geberemariyam, Biniyam Sahiledengle, Gebre, Abadi Kahsu , Gebremedhin, Ketema Bizuwork , Gebremeskel, Gebreamlak Gebremedhn , Gebremichael, Berhe , Gedefaw, Getnet , Geta, Birhanu, Ghafourifard, Mansour , Ghamari, Farhad , Ghashghaee, Ahmad , Gholamian, Asadollah , Gill, Tiffany K, Goulart, Alessandra C. , Grada, Ayman , Gubari, Mohammed Ibrahim Mohialdeen , Guo, Yuming , Haagsma, Juanita A. , Hafezi‐Nejad, Nima , Hall, Brian J. , Hamadeh, Randah R , Hasan, Md. Mehedi , 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 , Ilić, Irena , Ilić, Milena , Inbaraj, Leeberk Raja , Indriasih, Endang , Irvani, Seyed Sina Naghibi , Islam, Sheikh Mohammed Shariful , Islam, M. Mofizul , Ivers, Rebecca , Jacobsen, Kathryn H. , Jahani, Mohammad Ali, Jahanmehr, Nader , Jakovljević, Mihajlo , Jayaraman, Sudha , Jha, Ravi Prakash , John-Akinola, Yetunde O. , Joseph, Nitin , Joukar, Farahnaz, Jozwiak, Jacek Jerzy , Jürisson, Mikk , Kadel, Rajendra , Kahsay, Amaha , Kalankesh, Leila R , Kalhor, Rohollah , Kamil, Teshome Abegaz, Kapoor, Neeti , Karami, Manoochehr , Kasaeian, Amir , Kassaye, Hagazi Gebremedhin, Kavetskyy, Taras , Kebede, Hafte Kahsay , Keiyoro, Peter Njenga, Kelbore, Abraham Getachew , Kelkay, Bayew, Khader, Yousef , Khafaie, Morteza Abdullatif , Khalid, Nauman , Khalil, Ibrahim A, Khalilov, Rovshan , Khan, Ejaz Ahmad , Khan, Maseer , Khanna, Tripti, Shadmani, Fatemeh Khosravi , Khundkar, Roba , Kiirithio, Daniel N, Kim, Yun Jin , Kısa, Adnan , Kısa, Sezer , Komaki, Hamidreza , Kondlahalli, Shivakumar K M, Korshunov, Vladimir Andreevich , Kraemer, Moritz U. G. , Krishan, Kewal , Biçer, Burcu Küçük , Kugbey, Nuworza , Kumar, Vivek , Kumar, G Anil , Kumar, Manasi , Kumaresh, Girikumar, Kurmi, Om , Kuti, Oluwatosin, Lami, Faris , Lamichhane, Prabhat , Lang, Justin J. , Lasrado, Savita , Leasher, Janet L , Lee, Shaun Wen Huey , Lenjebo, Tsegaye Lolaso , Li, Shanshan , Linn, Shai , Liu, Xuefeng , Lunevičius, Raimundas , Lyons, Ronan A , Madadin, Mohammed , Razek, Muhammed Magdy Abd El, Mahotra, Narayan Bahadur , Majdán, Marek , Malagón-Rojas, Jeadran , Maled, Venkatesh , Manafi, Navid , Manafi, Amir , Manda, Ana-Laura, Mansour-Ghanaei, Fariborz, Mansouri, Borhan , March, Lyn , Mason‐Jones, Amanda J. , Masoumi, Seyedeh Zahra , Massenburg, Benjamin B. , Maulik, Pallab K , Meles, Gebrekiros Gebremichael , 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 , Mirzaei-Alavijeh, Mehdi , Mithra, Prasanna , Moazen, Babak , Moghadaszadeh, Masoud, Mohammad, Yousef , Mohammad, Karzan Abdulmuhsin , Mezerji, Naser Mohammad Gholi, Mohammadian-Hafshejani, Abdollah , Mohammadoo-Khorasani, Milad, Mohammed, Shafiu , Mohammed, Jemal , Mohebi, Farnam , Molokhia, Mariam , Monasta, Lorenzo , Moodley, Yoshan , Moosazadeh, Mahmood , Moradi, Masoud , Moradi, Ghobad , Moradpour, Farhad , Morawska, Lídia , Velásquez, Ilais Moreno , Mossie, Tilahun Belete , Murthy, Srinivas , Musa, Kamarul Imran , Mustafa, Ghulam , Nabhan, Ashraf , 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 , Nikbakhsh, Rajan , Ningrum, Dina Nur Anggraini , Nnaji, Chukwudi A , Nyasulu, Peter S. , Ogbo, Felix Akpojene , Oghenetega, Onome Bright , Okunga, Emmanuel , Olagunju, Andrew T , Olagunju, Tinuke O , Bali, Ahmed Omar , Onwujekwe, Obinna , Asante, Kwaku Oppong , 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 , Pham, Hai Quang , Pinheiro, Marina , Полибин, Р. В. , Polinder, Suzanne, 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 , Rahimi, Siavash , Rahimi‐Movaghar, Vafa , Rahman, Muhammad Aziz , Rajabpour-Sanati, Ali, Rajati, Fatemeh , Rakovac, Ivo , Ranganathan, Kavitha , Rao, Sowmya J, Rashedi, Vahid , Rastogi, Prateek , Rathi, Priya , Rawal, Lal , Rawassizadeh, Reza , Renjith, Vishnu , Renzaho, André M. N. , Resnikoff, Serge , Rezapour, Aziz, Rickard, Jennifer , Ríos-González, Carlos Miguel , Sabde, Yogesh , Saddik, Basema , Safari, Saeed , Safarpour, Hamid , Safdarian, Mahdi , Sajadi, S. Mohammad , Salamati, Payman, Salehi, Farkhonde , Zahabi, Saleh Salehi , Salem, Marwa Rashad , Salem, Hosni , Salman, Omar , Salz, Inbal, Samy, Abdallah M , Sanabria, Juan , Sànchez-Riera, Lídia , Santric-Milicevic, Milena M , Sarveazad, Arash , Sathian, Brijesh , Sawhney, Monika, Sawyer, Susan M. , Saxena, Sonia , Schwebel, David C. , Seedat, Soraya , Senthilkumaran, Subramanian , Seyedmousavi, Seyedmojtaba , Sha, Feng , Shaahmadi, Faramarz , Shaikh, Masood Ali , Shams-Beyranvand, Mehran , Shamsizadeh, Morteza , Sharif-Alhoseini, Mahdi , Sharifi, Hamid , Sheikh, Aziz , Shigematsu, Mika, Shin, Jae Il , Shiri, Rahman , Sigfúsdóttir, Inga Dóra, Singh, Pankaj Kumar , Sinha, Dhirendra Narain , Smarandache, Catalin-Gabriel , Soleymani, Bija, Soriano, Joan B. , Soyiri, Ireneous N , Stein, Dan J. , Sufiyan, Mu’awiyyah Babale , Suleria, Hafiz Ansar Rasul , Sykes, Bryan L. , Tabarés‐Seisdedos, Rafael , Tabb, Karen M. , Wogayehu, Biruk , Tamiru, Animut Tagele , Tarigan, Ingan Ukur , Tefera, Yibekal Manaye , Tekle, Merhawi Gebremedhin , Tekulu, Gebretsadkan Hintsa , Kassie, Ayenew , Bedaso, Asres , Tlaye, Kenean Getaneh , Tohidinik, Hamid Reza , Topór-Mądry, Roman , Tripathy, Jaya Prasad , Tsai, Alexander C. , Car, Lorainne Tudor , Ullah, Saif , Ullah, Irfan , Umar, Maida, Unnikrishnan, Bhaskaran , Upadhyay, Era , Valdéz, Pascual , Violante, Francesco Saverio , Waheed, Yasir , Teklay, Girmay , Werdecker, Andrea , Wiangkham, Taweewat , Wolde, Haileab Fekadu , Woldeyes, Dawit Habte , Yadav, Rajaram , Yadollahpour, Ali , Yano, Yuichiro , Yaya, Sanni , Yazdi‐Feyzabadi, Vahid , Yisma, Engida , Yoon, Seok‐Jun , Youm, Yoosik , Younis, Mustafa Z , Yousefi, Zabihollah , Yu, Yong , Yusefzadeh, Hasan, Moghadam, Telma Zahirian , Zaman, Sojib Bin , Zamanian, Maryam , Zhang, Zhi-Jiang , Zhang, Yunquan , Zodpey, Sanjay , Dandona, Lalit , Dandona, Rakhi , Hay, Simon I , Mokdad, Ali H. , Reiner, Robert C. , Sartorius, Benn , Vos, Theo , Topór‐Mądry, Roman , Zahiruddin, Quazi Syed , Dianatinasab, Mostafa , Sanati, Ali Rajabpour , Baig, Atif Amin , Kumar, Vivek , Stein, Dan J , Castaldelli-Maia, João M , Farzadfar, Farshad , Shin, Jae I L , Islam, Sheikh Mohammed Shariful , Rahman, Muhammad Aziz , Belete, T , Liu, Zichen, Roberts, Nicholas L S , Abdoli, Amir , Abdollahpour, Ibrahim , Ahmed, Rushdiá , Ahmed, Muktar Beshir , Alghnam, Suliman Abdullah , Al‐Hajj, Samar , Ali, Saqib , Alinia, Cyrus , Aljunid, Syed Mohamed , Almasi‐Hashiani, Amir , Amini, Saeed, Antonio, Carl Abelardo T. , Arab-Zozani, Morteza , Asaad, Malke , Balachandran, Arun , Bayati, Mohsen , Bedi, Neeraj , Behzadifar, Masoud , Benjet, Corina L. , Benseñor, Isabela M. , Bibi, Sadia , Borges, Guilherme , Boufous, Soufiane , Chatziralli, Irini , Constantin, María Magdalena , Daryani, Ahmad , Demeke, Feleke Mekonnen , Demis, Asmamaw , Forooshani, Zahra Sadat Dibaji, Duko, Bereket , Zaki, Maysaa El Sayed , Adane, Daniel, Eskandarieh, Sharareh , Yeheyis, Tomas Y. , Filip, Irina , Foroutan, Masoud , Franklin, Richard C. , Gill, Tiffany K. , Grivna, Michal , Guimarães, Rafael Alves , Gupta, Gaurav Kumar , Haghparast‐Bidgoli, Hassan , Hamidi, Samer , Haro, Josep María , Hasanzadeh, Amir , Hassanipour, Soheil , Hassankhani, Hadi , Hayat, Khezar , Hendrie, Delia V. , Holla, Ramesh , Hu, Guoqing , Ilesanmi, Olayinka Stephen , Jalilian, Farzad , Jayatilleke, Achala Upendra , Jonas, Jost B , Jungari, Suresh Banayya , Kabir, Ali , Kanchan, Tanuj , Rade, Bayew Kelkay , Khalil, Ibrahim A, Khammarnia, Mohammad , Khazaie, Habibolah , Kim, Young‐Eun , Kim, Daniel , Shivakumar, KM , Koyanagi, Ai , Kumar, Nithin , Vecchia, Carlo La , Lansingh, Van Charles , Laryea, Dennis Odai , Latifi, Arman , Lauriola, Paolo , Levi, Miriam , Lopez, Alan D , Lotufo, Paulo A. , Majeed, Azeem , Malekzadeh, Reza , Malta, Déborah Carvalho , Manjunatha, Narayana , Mansour‐Ghanaei, Fariborz , Mansournia, Mohammad Alì , Maravilla, Joemer Calderon , Melese, Addisu Dagnaw , Aschalew, Zeleke , Mengesha, Meresa Berwo , Meštrović, Tomislav , Mirică, Andreea , Mohamadi, Efat , Darwesh, Aso Mohammad , Mohammadpourhodki, Reza , Moradi‐Lakeh, Maziar , Morisaki, Naho , Morrison, Shane D. , Muluneh, Atalay Goshu , Najafi, Farid , Nayak, Vinod C , Nguyen, Huong Lan Thi , Oh, In‐Hwan , Ota, Erika , Patton, George , Peden, Amy E. , Pereira, Jeevan , Phillips, Michael , Rabiee, Mohammad , Rawaf, Salman , Ribeiro, Ana Isabel , Ronfani, Luca , Roshandel, Gholamreza , Saad, Anas M. , Sabour, Siamak , Safari‐Faramani, Roya , Salamati, Payman, Sarker, Abdur Razzaque , Sayyah, Mehdi , Sepanlou, Sadaf Ghajarieh , Shahabi, Saeed , Siabani, Soraya , Singh, Jasvinder A. , Smith, Emma U.R. , Soheili, Amin , Soltanian, Ali Reza , Sorrie, Muluken Bekele , Stokes, Mark Andrew , Tadesse, Degena Bahrey , Tehrani‐Banihashemi, Arash , Tesfay, Berhe Etsay , Thapar, Rekha , Tran, Bach Xuan , Tran, Khanh Bao , Uthman, Olalekan Abdulrahman , Vasankari, Tommi Juhani , Venketasubramanian, Narayanaswamy , Vlassov, Vasily , Wondafrash, Dawit Zewdu , Wondmeneh, Temesgen Gebeyehu , Wondmieneh, Adam Belay , Wu, Aimin , YIP, PAUL S. F. , Yonemoto, Naohiro , Yu, Chuanhua , Zaidi, Zoubida , Zamani, Mohammad , Zandian, Hamed , Zarei, Ahmad , Zare, Fatemeh, Degenhardt, Louisa J , Dharmaratne, Samath Dhamminda , Olagunju, Andrew T , Baig, Atif Amin , Desai, Rupak , Alahdab, Fares , Rahim, Fakher

Injury Prevention | April 24, 2020 | Volume: 26 | Issue: Suppl 2 | Pages: i96-i114

10.1136/injuryprev-2019-043494 | PMID 32332142 Get It

Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. Methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.
Glutamatergic Neurotransmission at Rat Phrenic Motor Neurons
Zhan, Wen‐Zhi, Mantilla, Carlos B. , Rana, Sabhya , Sieck, Gary C.

The FASEB Journal | April 19, 2020 | Volume: 34 | Issue: S1 | Pages: 1-1

10.1096/fasebj.2020.34.s1.07336 Get It

Glutamatergic (Glu) synaptic inputs at phrenic motor neurons (PhMNs) predominantly comprise descending axons from respiratory centers in the ventrolateral medulla. Descending synaptic inputs provide the drive for inspiratory as well as various other behaviors that result in higher force generation. We recently examined pre‐synaptic Glu terminals (VGLUT1 and VGLUT2‐positive) around the somal membrane of PhMNs grouped according to size using a robust confocal imaging‐based technique and semi‐automated image processing, and found an ~10% higher density of Glu terminals at PhMNs in the lower tertile of somal surface area. In parallel studies, we determined the density of AMPA and NMDA mRNA expression in PhMNs grouped according to size, and found that PhMNs in the lower tertile of somal surface area display ~25% higher density of AMPA (Gria2) and NMDA (Grin1) mRNA expression compared to PhMNs in the upper tertile of somal surface area. Assuming an orderly recruitment of motor units based on their intrinsic electrophysiological properties, PhMNs in the lower tertile of somal surface area are likely recruited first in order to accomplish lower force behaviors necessary for inspiration in normoxic as well as in hypoxic (10% O 2 ) and hypercapnic (5% CO 2 ) conditions. Thus, differences in glutamatergic neurotransmission across PhMNs of increasing size support the orderly recruitment of motor units, promoting recruitment of fatigue resistant units for inspiratory behaviors. In adult male rats, unilateral C2 hemisection (C2SH) abolishes inspiratory‐related diaphragm muscle (DIAm) activity ipsilateral to injury, but DIAm activity during higher force behaviors persists, reflecting the contribution of spared inputs, likely contralateral. Accordingly, we hypothesized that C2SH primarily disrupts Glu synaptic inputs to smaller PhMNs, whereas Glu synaptic inputs to larger PhMNs are preserved. By 7 days following unilateral C2SH, there was a ~45% reduction in ipsilateral Glu synaptic input to PhMNs compared to a ~20% reduction contralaterally. Ipsilateral to C2SH, there was an ~60% reduction in presynaptic Glu terminals at PhMNs in lower tertile of somal surface area compared to ~30% reduction at PhMNs in the upper tertile of size. Contralateral to C2SH, the reduction in presynaptic Glu terminals was similar across PhMNs grouped according to somal surface area. These results are consistent with a more pronounced effect of C2SH on inspiratory behaviors of the DIAm, and the preservation of higher force behaviors after C2SH. These results also indicate that Glu synaptic input to PhMNs varies depending on motor neuron size and likely reflects different motor control, including possibly distinct central pattern generator and premotor circuits, onto PhMNs recruited for motor behaviors with varying levels of force generation. Support or Funding Information NIH Grants R01 HL96750 and HL146114
Studies of the Bcl Inhibitor GX15-070 in Multiple Myeloma Demonstrate Substantial Pre-Clinical Activity.
Stewart, A. Keith , Rauw, Jennifer , Pathangey, Latha , Trudel, Suzanne , Li, Zhi Hua, Wen, Xiao‐Yan , Bergsagel, P. Leif

Blood | April 19, 2020 | Volume: 106 | Issue: 11 | Pages: 1572-1572

10.1182/blood.v106.11.1572.1572 Get It

Abstract GX15-070 is a small-molecule antagonist of the BH3-binding groove of the Bcl-2 family of proteins and can thus induce apoptosis by inhibiting the interaction between pro- and anti-apoptotic proteins. In addition, GX15-070 activates a cellular pathway, which leads to the activation of the pro-apoptotic BH3-only protein Bim, a natural cellular inhibitor of anti-apoptotic members. Together, the direct inhibition of anti-apoptotic Bcl-2 family proteins and the activation of pro-apoptotic Bim by GX15-070 can sensitize tumor cells to apoptosis. Bcl-2 family members, particularly Bcl-XL and Mcl-1 have been implicated in the survival of myeloma cells and may be responsible, in part, for drug resistance. Consequently, GX15-070 was tested against the MMRC 12 validation cell line panel, a panel of 12 standardized and annotated human myeloma cell lines (HMCLs). Western blots preformed on 8 HMCLs confirmed expression of Bcl-2, Mcl-1 and/or Bcl-XL. Basal levels of Bcl-2 and MCl-1 were relatively similar across all HMCLs studied whereas levels of Bcl-XL were variable GX15-070 inhibited the viability of all 12 myeloma cell lines as determined by MTT assay. The mean IC50 was 215 nM; range (6.4-678nM) and sensitivity did not correlate with level of Bcl-2, MCL-1 or Bcl-XL expression. On the other hand cytotoxicity to normal human blood lymphocytes, stroma and bone marrow CFUs was not observed at concentrations which were effectively cytotoxic to HMCL. Time course experiments demonstrate that apoptosis and cleavage of caspase 3 began by 12 hours and continued to increase over a 96 hour period. Co-culture with human bone marrow stroma cells (BMSCs) failed to protect HMCL from GX15-070 induced cytotoxicity. Similarly, potent MM growth factors, Interleukin 6 (IL-6) and Insulin like growth factor (IGF)-1 did not confer resistance to GX15-070. Of interest, overexpression of Bcl-2 has been shown to attenuate PS-341-induced cell death (Mitisades); however, the combination of PS-341 and GX15-070 did not reveal synergistic interaction in preliminary results. Studies looking at other drug combinations are planned. Finally, GX15-070 produced cytotoxic responses in the first primary myeloma sample tested with further testing ongoing. Mouse xenograft studies are also ongoing and will be presented. These studies indicate extensive pre-clinical activity of GX15-070 in multiple myeloma and set the stage for planned Phase II clinical trials.
Disruption of BDNF/TrkB Signaling Alters Glutamatergic mRNA Expression at Phrenic Motor Neurons
Zhan, Wen‐Zhi, Rana, Sabhya , Sieck, Gary C. , Mantilla, Carlos B.

The FASEB Journal | April 19, 2020 | Volume: 34 | Issue: S1 | Pages: 1-1

10.1096/fasebj.2020.34.s1.06738 Get It

Brain‐derived neurotrophic factor (BDNF) signaling via its high affinity tropomyosin‐related kinase sub‐type B (TrkB) receptor is widely implicated in regulating glutamatergic synaptic transmission in the context of neuroplasticity. At phrenic motor neurons innervating the main inspiratory muscle in mammals (the diaphragm muscle), glutamate is the main excitatory neurotransmitter and acts primarily via ionotropic AMPA and NMDA receptors. In various regions in the CNS, BDNF/TrkB signaling influences rapid phosphorylation of AMPA and NMDA receptor subunits, supporting a main role in neuroplasticity. BDNF/TrkB signaling also plays an important role across various models of injury and respiratory neuroplasticity. In addition, BDNF/TrkB signaling increases AMPA and NMDA receptor expression in the CNS, but whether this effect is also present in motor neurons is presently unknown. BDNF/TrkB signaling modulates motor neuron excitability, which may reflect changes in glutamatergic receptor expression. In the present study, AMPA and NMDA mRNA expression in retrogradely‐labeled phrenic motor neurons was measured using RNAscope in situ hybridization (ACDBio). Adult male rats were randomly assigned to control (untreated) and 11‐day treatment groups (12 ml/day) with intrathecal infusion of the fusion‐protein TrkB‐Fc or artificial cerebrospinal fluid (aCSF) in the region of the phrenic motor neuron pool. Intrathecal catheter tip position was verified at the terminal experimental at ~C4 segment, and the infusion rate was confirmed to restrict delivery to the cervical spinal cord. Expression of both AMPA and NMDA receptor mRNA was evident as puncta in phrenic motor neurons (identified by cholera toxin sub‐unit B – CTB‐labeling) as well as in other large neurons in the ventral horn. Our analysis of mRNA puncta density was restricted to clearly‐identified, retrogradely (CTB)‐labeled phrenic motor neurons containing the mid‐nuclear region in frozen, thin (10μm) longitudinal sections of the spinal cord. At least 25 phrenic motor neurons were stereologically selected for analysis in each animal. No differences in AMPA or NMDA mRNA density were evident between the untreated control and aCSF treated groups, and these results were combined. Across phrenic motor neurons in the control and aCSF groups, there was ~30% variance in AMPA and NMDA mRNA density within each animal, reflecting heterogeneity across motor neurons of varying size, expected to be recruited for the various levels of force production by the diaphragm muscle. Following TrkB‐Fc infusion, there was evidence of decreased AMPA mRNA density in phrenic motor neurons following but no change in NMDA mRNA density. These results support a role for BDNF/TrkB signaling in modulating glutamatergic receptor expression at phrenic motor neurons, which may thus contribute to the regulation of motor neuron excitability and neuroplasticity following injury or disease. Support or Funding Information NIH grants R01 HL96750 and R01 HL146114
Malignant B Cell-Derived TGF-β Controls the Generation of TH1, TH17 and Treg Cells in the Tumor Microenvironment of B-Cell Non-Hodgkin Lymphoma (NHL).
Novak, Anne J. , Ansell, Stephen M. , Yang, Zhi-Zhang , Witzig, Thomas E.

Blood | April 18, 2020 | Volume: 112 | Issue: 11 | Pages: 1551-1551

10.1182/blood.v112.11.1551.1551 Get It

Abstract Background: Our previous work has shown that malignant B cells induce the development of intratumoral Treg cells that inhibit the host anti-tumor response. In contrast to an increase in Treg cells, we found that the number of effector T helper cells (TH1, TH2 and TH17) was low in B-cell NHL tumors, suggesting an imbalance between Treg and TH cells in the tumor microenvironment. Understanding the mechanism(s) of this imbalance is important to the development of treatments to enhance host immunity and in previous work we have shown that signaling through CD70, CD80 and CD86 plays a role. Since soluble factors, particularly TGF-β, have an important role in directing T-cell differentiation, we evaluated in this study the role of TGF-β in the lymphoma microenvironment. Goal: To determine the effect of TGF-β on the generation of intratumoral TH1, TH17 and Treg cells in human B-cell NHL. Results: Human B-cell NHL specimens were obtained from consenting patients and were used for all experiments. Using an ELISA assay, we found that malignant B cells variably secrete TGF-β - median 100 pg/ml per million cells (range: undetectable −229 pg/ml, n=7). Using flow cytometry, we showed that addition of exogenous TGF-β enhanced the expression of Foxp3+ in activated CD4+ or CD4+CD45RA+ or CD4+CD45RO+ nodal T cells, suggesting that TGF-β promotes the generation of Treg cells in tumor microenvironment. In contrast, TGF-β suppressed expression of IFN-g in activated CD4+ T cells and inhibited the up-regulation of IL-12 and IL-23-induced IFN-γ expression in CD4+ cells, indicating that TGF-β suppresses the generation of TH1 cells. TGF-β alone slightly inhibited IL-17 expression in CD4+ T cells; however, TGF-β, in the presence of IL-6 and IL-23, upregulated IL-17 expression in CD4+ T cells, suggesting proinflammatory cytokines are able to reverse the suppression induced by TGF-β. These results indicate that TGF-β plays an important role in the regulation of intratumoral TH17 cell generation. In additional experiments, TGF-β was found to exert a suppressive effect on the proliferation of both CD4+ and CD8+ intratumoral T cells. However, treatment with TGF-β enhanced IL-2 production by intratumoral CD4+ T cells detected by intracellular staining of flow cytometry. Interruption of IL-2 signaling by anti-IL-2 Ab abolished the upregulation of TGF-β-mediated Foxp3 expression and enhanced the production of IL-17 in CD4+ T cells. Furthermore, treatment with anti-IL-2 Ab reversed the inhibition of NHL B cell-mediated TH17 cell generation. Conclusion: These results suggest that TGF-β controls the generation of TH1, TH17 and Treg cells contributing to the imbalance of effector TH cells and inhibitory Treg cells in the tumor microenvironment of B-cell NHL through IL-2. Since malignant B-cells produce TGF-β, these results further support the important role of malignant B cells in the regulation of intratumoral T cell generation and the host immune response.