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  • Interesting Papers

  • Cardiac Development and Therapy

    Stem cell, development, markers

    1. Palpant, N. J. et al. Generating high-purity cardiac and endothelial derivatives from patterned mesoderm using human pluripotent stem cells. Nat Protoc 12, 15–31 (2017).

    Overall Cardiac Development

    1. Laflamme, M. A. & Murry, C. E. Heart regeneration. Nature 473, 326–335 (2011).

    Statistics on Cardiac Disease and Heart Failure

    1. Mozaffarian, D., et. al., (2016) Heart Disease and Stroke Statistics-2016 Update: A Report From the American Heart Association. Circulation. 133, e38–360

    2. CDC Stats on Heart Disease: https://www.cdc.gov/heartdisease/facts.htm

    Drug Testing and Analysis

    1. Sharma, A., McKeithan, W. L., Serrano, R., Kitani, T., Burridge, P. W., del Álamo, J. C., Mercola, M., and Wu, J. C. (2018) Use of human induced pluripotent stem cell-derived cardiomyocytes to assess drug cardiotoxicity. Nat Protoc. 13, 3018–3041

    2. Nair, A., and Jacob, S. (2016) A simple practice guide for dose conversion between animals and human. J Basic Clin Pharma. 7, 27

  • Anesthesia and Pain Medicine

    Drug Mechanisms

    1. Vutskits, L. & Xie, Z. Lasting impact of general anaesthesia on the brain: mechanisms and relevance. Nat. Rev. Neurosci. 17, 705–717 (2016).

    Review of Pediatric Pain Assessment

    1. Cohen, L. L., Lemanek, K., Blount, R. L., Dahlquist, L. M., Lim, C. S., Palermo, T. M., McKenna, K. D., and Weiss, K. E. (2008) Evidence-based assessment of pediatric pain. J Pediatr Psychol. 33, 939–55– discussion 956–7

  • Mitochondrial Analysis

    Shape Quantification

    • 1.    Koopman, W. J. H., Visch, H.-J., Smeitink, J. A. M. & Willems, P. H. G. M. Cytometry A 69, 1–12 (2006): description of which metrics best differentiate mitochondrial shapes.
    • 2.    Koopman, W. J. H., Visch, H.-J., Smeitink, J. A. M. & Willems, P. H. G. M. Simultaneous quantitative measurement and automated analysis of mitochondrial morphology, mass, potential, and motility in living human skin fibroblasts. Cytometry A 69, 1–12 (2006).

    Membrane Potential Analysis

    • 1. Cottet-Rousselle, C., Ronot, X., Leverve, X., and Mayol, J.-F. (2011) Cytometric assessment of mitochondria using fluorescent probes. Cytometry A. 79, 405–425
    • 2. Acin‐Perez, R., Benador, I. Y., Petcherski, A., Veliova, M., Benavides, G. A., Lagarrigue, S., Caudal, A., Vergnes, L., Murphy, A. N., Karamanlidis, G., Tian, R., Reue, K., Wanagat, J., Sacks, H., Amati, F., Darley‐Usmar, V. M., Liesa, M., Divakaruni, A. S., Stiles, L., and Shirihai, O. S. (2020) A novel approach to measure mitochondrial respiration in frozen biological samples. EMBO J. 10.15252/embj.2019104073

    Measuring Cellular ROS

    • 1. Murphy, M. P., Bayir, H., Belousov, V., Chang, C. J., Davies, K. J. A., Davies, M. J., Dick, T. P., Finkel, T., Forman, H. J., Janssen-Heininger, Y., Gems, D., Kagan, V. E., Kalyanaraman, B., Larsson, N.-G., Milne, G. L., Nyström, T., Poulsen, H. E., Radi, R., Van Remmen, H., Schumacker, P. T., Thornalley, P. J., Toyokuni, S., Winterbourn, C. C., Yin, H., and Halliwell, B. (2022) Guidelines for measuring reactive oxygen species and oxidative damage in cells and in vivo. Nature Metabolism. 4, 651–662

  • Biological Data Interpretation/Networks

    Software

    1. Warde-Farley, D. et al. The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function. Nucleic Acids Res 38, W214–20 (2010).

    R Resources

    Notes from Ben Bolker (McMaster):
    https://bbolker.github.io/mixedmodels-misc/glmmFAQ.html

     

    GLMM Course material (more info also on Ben Bolker's github):
    https://bbolker.github.io/morelia_2018/

     

    R packages on CRAN (check out vignettes section for tutorials):

     

    Model fitting:
    https://cran.r-project.org/web/packages/lme4/index.html
    https://cran.r-project.org/web/packages/glmmTMB/index.html

     

    Estimates and inference:
    https://cran.r-project.org/web/packages/emmeans/index.html

     

    Residuals for more complex models (glmer and heterogeneous variance fits):
    https://cran.r-project.org/web/packages/DHARMa/vignettes/DHARMa.html

  • Lab Methods

    Cancer/Focal Adhesion

    1. Chakraborty, S., Lakshmanan, M., Swa, H. L. F., Chen, J., Zhang, X., Ong, Y. S., Loo, L. S., Akıncılar, S. C., Gunaratne, J., Tergaonkar, V., Hui, K. M., and Hong, W. (2015) An oncogenic role of Agrin in regulating focal adhesion integrity in hepatocellular carcinoma. Nat Commun. 6, 6184

    Protein Proximity Labeling

    1. Bar, D. Z., Atkatsh, K., Tavarez, U., Erdos, M. R., Gruenbaum, Y., and Collins, F. S. (2018) Biotinylation by antibody recognition—a method for proximity labeling. Nat Methods. 15, 127–133

    Reproducible TAC

    1. Merino, D. et al. Experimental modelling of cardiac pressure overload hypertrophy: Modified technique for precise, reproducible, safe and easy aortic arch banding-debanding in mice. Sci Rep 8, 3167 (2018).

  • Data That Can (But Won't) Be Used by Hospital Administrators

    The Futility of Inane OR Dress Codes

    1. Farach, S. M., Kelly, K. N., Farkas, R. L., Ruan, D. T., Matroniano, A., Linehan, D. C., and Moalem, J. (2018) Have Recent Modifications of Operating Room Attire Policies Decreased Surgical Site Infections? An American College of Surgeons NSQIP Review of 6,517 Patients. J Am Coll Surg. 226, 804–813

    Why Checklists Shouldn't Be Followed Blindly and Aren't Always the Answer

    1. Tamburini, F. B., Andermann, T. M., Tkachenko, E., Senchyna, F., Banaei, N., and Bhatt, A. S. (2018) Precision identification of diverse bloodstream pathogens in the gut microbiome. Nat Med. 4, 278

  • Our More Recent Papers

    Molecular Effects of Anesthesia

    12. Niimi N, Sumie M, Englesakis M, Yang A, Olsen J, Cheng R, Maynes JT, Campisi P, Hayes J, Ng WCK and Aoyama K. (2024), Effects of dexamethasone on opioid consumption in pediatric tonsillectomy: a systematic review with meta-analysis. Can J Anesth. 10.1007/s12630-024-02817-y.

     

    11. Desai, K., Sumie, M., Yang, A., Englesakis, M., Maynes, J. T., and Aoyama, K. (2024) Is there any impact of association between labor neuraxial analgesia and autism spectrum disorders in offspring at the population level? J Anesth. 10.1007/s00540-024-03343-3.

     

    10. Tarazi, D., and Maynes, J. T. (2023) Impact of Opioids on Cellular Metabolism: Implications for Metabolic Pathways Involved in Cancer. Pharmaceutics. 10.3390/pharmaceutics15092225

     

    9. Hogarth, K., Tarazi, D., and Maynes, J. T. (2023) The effects of general anesthetics on mitochondrial structure and function in the developing brain. Frontiers in Neurology. 10.3389/fneur.2023.1179823

     

    8. Plakhotnik, J., Zhang, L., Estrada, M., Coles, J. G., Lonnqvist, P.-A., and Maynes, J. T. (2022) Local Anesthetic Cardiac Toxicity Is Mediated by Cardiomyocyte Calcium Dynamics. Anesthesiology. 137, 687–703

     

    7. Hogarth, K., Vanama, R. B., Stratmann, G., and Maynes, J. T. (2021) Singular and short-term anesthesia exposure in the developing brain induces persistent neuronal changes consistent with chronic neurodegenerative disease. Sci Rep. 11, 5673

     

    6. Petre, M.-A., Levin, D. N., Englesakis, M., Maynes, J. T., Pechlivanoglou, P., and Aoyama, K. (2021) Dexmedetomidine vs. total intravenous anaesthesia in paediatric emergence delirium: A network meta-analysis. European Journal of Anaesthesiology | EJA

     

    5. Echaniz, G., Chan, V., Maynes, J. T., Jozaghi, Y. & Agur, A. Ultrasound-guided maxillary nerve block: an anatomical study using the suprazygomatic approach. Canadian Journal of Anesthesia/Journal canadien d’anesthésie (2019). doi:10.1007/s12630-019-01481-x

     

    4. O'Leary, J. D., Janus, M., Duku, E., Wijeysundera, D. N., To, T., Li, P., Maynes, J. T., Faraoni, D., and Crawford, M. W. (2018) Influence of Surgical Procedures and General Anesthesia on Child Development Before Primary School Entry Among Matched Sibling Pairs. JAMA Pediatr. 173, 29

     

    3. Coghlan, M., Richards, E., Shaik, S., Rossi, P., Vanama, R. B., Ahmadi, S., Petroz, C., Crawford, M., and Maynes, J. T. (2018) Inhalational Anesthetics Induce Neuronal Protein Aggregation and Affect ER Trafficking. Sci Rep. 8, 5275

     

    2. Selvadurai, S., Maynes, J. T., McDonnell, C., Cushing, S. L., Propst, E. J., Lorenzo, A., Lim, A., Meltzer, L. J., Lu, Z., Horner, R. L., and Narang, I. (2018) Evaluating the Effects of General Anesthesia on Sleep in Children Undergoing Elective Surgery: An Observational Case-Control Study. Sleep. 10.1093/sleep/zsy094

     

    1. O'Leary, J. D., Janus, M., Duku, E., Wijeysundera, D. N., To, T., Li, P., Maynes, J. T., and Crawford, M. W. (2016) A Population-based Study Evaluating the Association between Surgery in Early Life and Child Development at Primary School Entry. Anesthesiology. 125, 272–279

    General and Cardiac Therapeutic Discovery

    25. Dou, W., Shan, G., Zhao, Q., Malhi, M., Jiang, A., Zhang, Z., González-Guerra, A., Fu, S., Law, J., Hamilton, R. M., Bernal, J. A., Liu, X., Sun, Y., and Maynes, J. T. (2024) Robotic manipulation of cardiomyocytes to identify gap junction modifiers for arrhythmogenic cardiomyopathy. Science Robotics. doi: 10.1126/scirobotics.adm8233.

     

    24. Venet, M., Malik, A., Gold, S., Zhang, N., Gopaul, J., Dauz, J., Yazaki, K., Ponzoni, M., Coles, J. G., Maynes, J. T., Sun, M., Howell, A., Chaturvedi, R., Mertens, L., Mroczek, D., Uike, K., Baranger, J., Friedberg, M. K., and Villemain, O. (2024) Impact of Right Ventricular Pressure Overload on Myocardial Stiffness Assessed by Natural Wave Imaging. JACC: Cardiovascular Imaging. 10.1016/j.jcmg.2024.06.020

     

    23. Wallach I, et. al. for the The Atomwise AIMS Program (2024) AI is a viable alternative to high throughput screening: a 318-target study. Sci Rep. 14, 7526, doi: 10.1038/s41598-024-54655-z.

     

    22. Balsamo, F., Li, B., Chusilp, S., Lee, D., Biouss, G., Lee, C., Maynes, J. T., and Pierro, A. (2023) Argon inhalation attenuates systemic inflammation and rescues lung architecture during experimental neonatal sepsis. Pediatr Surg Int. 40, 21

     

    21. Lee, T. Y. T., Coles, J. G., and Maynes, J. T. (2024) iPSC-cardiomyocytes in the preclinical prediction of candidate pharmaceutical toxicity. Frontiers in Pharmacology. doi: 10.3389/fphar.2024.1308217.

     

    20. Dou, W., Daoud, A., Chen, X., Wang, T., Malhi, M., Gong, Z., Mirshafiei, F., Zhu, M., Shan, G., Huang, X., Maynes, J. T., and Sun, Y. (2023) Ultrathin and Flexible Bioelectronic Arrays for Functional Measurement of iPSC-Cardiomyocytes under Cardiotropic Drug Administration and Controlled Microenvironments. Nano Lett. 10.1021/acs.nanolett.3c00017

     

    19. Ponzoni, M., Coles, J. G., and Maynes, J. T. (2023) Rodent Models of Dilated Cardiomyopathy and Heart Failure for Translational Investigations and Therapeutic Discovery. International Journal of Molecular Sciences. 10.3390/ijms24043162

     

    18. Zhang, L., Yeganeh, A., Bartkevics, M., Perri, A., Brown, C., Coles, J., and Maynes, J. T. (2022) Mesenchymal Stromal Cells Isolated From Patients With Congenital Heart Disease Reveal an Age-Dependent Proinflammatory Phenotype. JACC: Advances. 1, 100050

     

    17. Dou, W., Malhi, M., Cui, T., Wang, M., Wang, T., Shan, G., Law, J., Gong, Z., Plakhotnik, J., Filleter, T., Li, R., Simmons, C. A., Maynes, J. T., and Sun, Y. (2022) A Carbon-Based Biosensing Platform for Simultaneously Measuring the Contraction and Electrophysiology of iPSC-Cardiomyocyte Monolayers. ACS Nano. 10.1021/acsnano.2c04676

     

    16. Dou, W., Malhi, M., Zhao, Q., Wang, L., Huang, Z., Law, J., Liu, N., Simmons, C. A., Maynes, J. T., and Sun, Y. (2022) Microengineered platforms for characterizing the contractile function of in vitro cardiac models. Microsystems & Nanoengineering. 8, 26

     

    15. Malhi, M., Norris, M. J., Duan, W., Moraes, T. J., and Maynes, J. T. (2021) Statin-mediated disruption of Rho GTPase prenylation and activity inhibits respiratory syncytial virus infection. Commun Biol. 4, 1239

     

    14. Dou, W., Wang, L., Malhi, M., Liu, H., Zhao, Q., Plakhotnik, J., Xu, Z., Huang, Z., Simmons, C. A., Maynes, J. T., and Sun, Y. (2020) A microdevice platform for characterizing the effect of mechanical strain magnitudes on the maturation of iPSC-Cardiomyocytes. Biosensors and Bioelectronics. 10.1016/j.bios.2020.112875

     

    13. Ishii R, Okumura K, Akazawa Y, Malhi M, Ebata R, Sun M, Fujioka T, Kato H, Honjo O, Kabir G, Kuebler WM, Connelly K, Maynes JT, Friedberg MK, 2020, “Heart Rate Reduction Improves Right Ventricular Function and Fibrosis in Pulmonary Hypertension”, Am. J. Respir. Cell Mol. Biol., doi:10.1165/rcmb.2019-0317OC .

     

    12. Dou, W., Zhao, Q., Malhi, M., Liu, X., Zhang, Z., Wang, L., Masse, S., Nanthakumar, K., Hamilton, R., Maynes, J. T., and Sun, Y. (2020) Label-free conduction velocity mapping and gap junction assessment of functional iPSC-Cardiomyocyte monolayers. Biosensors and Bioelectronics. 10.1016/j.bios.2020.112468

     

    11. Wang, X., Wang, L., Dou, W., Huang, Z., Zhao, Q., Malhi, M., Maynes, J. T., and Sun, Y. (2020) Electrical impedance-based contractile stress measurement of human iPSC-Cardiomyocytes. Biosensors and Bioelectronics. 166, 112399. 10.1016/j.bios.2020.112399.

     

    10. Drost, C. C., Rovas, A., Kusche-Vihrog, K., Slyke, P. V., Kim, H., Hoang, V. C., Maynes, J. T., Wennmann, D. O., Pavenstädt, H., Linke, W., Lukasz, A., Hesse, B., and Kümpers, P. (2019) Tie2 Activation Promotes Protection and Reconstitution of the Endothelial Glycocalyx in Human Sepsis. Thromb Haemost. 10.1055/s-0039-1695768.

     

    9. Chatterjee, D., Fatah, M., Akdis, D., Spears, D. A., Koopmann, T. T., Mittal, K., Rafiq, M. A., Cattanach, B. M., Zhao, Q., Healey, J. S., Ackerman, M. J., Bos, J. M., Sun, Y., Maynes, J. T., Brunckhorst, C., Medeiros-Domingo, A., Duru, F., Saguner, A. M., and Hamilton, R. M. (2018) An autoantibody identifies arrhythmogenic right ventricular cardiomyopathy and participates in its pathogenesis. European Heart Journal. 39, 3932–3944

     

    8. Traister, A., Patel, R., Huang, A., Patel, S., Plakhotnik, J., Lee, J. E., Medina, M. G., Welsh, C., Ruparel, P., Zhang, L., Friedberg, M., Maynes, J., and Coles, J. (2018) Cardiac regenerative capacity is age- and disease-dependent in childhood heart disease. PLoS ONE. 13, e0200342

     

    7. Wang, L., Dou, W., Malhi, M., Zhu, M., Liu, H., Plakhotnik, J., Xu, Z., Zhao, Q., Chen, J., Chen, S., Hamilton, R., Simmons, C. A., Maynes, J. T., and Sun, Y. (2018) A Micro Device Platform for Continuous Measurement of Contractility, Beating Rate, and Beating Rhythm of hiPSC-Cardiomyocytes inside a Controlled Incubator Environment. ACS Appl Mater Interfaces. 10.1021/acsami.8b05407

     

    6. Gutbier, B., Jiang, X., Dietert, K., Ehrler, C., Lienau, J., Slyke, P. V., Kim, H., Hoang, V. C., Maynes, J. T., Dumont, D. J., Gruber, A. D., Weissmann, N., Mitchell, T. J., Suttorp, N., and Witzenrath, M. (2017) Vasculotide reduces pulmonary hyperpermeability in experimental pneumococcal pneumonia. Critical Care. 21, 274

     

    5. Traister, A., Lu, M., Coles, J. G., and Maynes, J. T. (2016) Dataset of Integrin-linked Kinase Protein:Protein Interactions in Cardiomyocytes Identified by Mass Spectrometry. Data in Brief. 10.1016/j.dib.2016.03.056

     

    4. Sittampalam, S., Eglen, R., Ferguson, S., Maynes, J. T., Olden, K., Schrader, L., Shelper, T., and Ferrer, M. (2015) Three-Dimensional Cell Culture Assays: Are They More Predictive of In Vivo Efficacy than 2D Monolayer Cell-Based Assays? Assay Drug Dev Technol. 13, 254–261

     

    3. Zhu, J., Ide, H., Fu, Y. Y., Teichert, A.-M., Kato, H., Weisel, R. D., Maynes, J. T., Coles, J. G., and Caldarone, C. A. (2014) Losartan ameliorates “upstream” pulmonary vein vasculopathy in a piglet model of pulmonary vein stenosis. J. Thorac. Cardiovasc. Surg. 10.1016/j.jtcvs.2014.07.050

     

    2. Traister, A., Li, M., Aafaqi, S., Lu, M., Arab, S., Radisic, M., Gross, G., Guido, F., Sherret, J., Verma, S., Slorach, C., Mertens, L., Hui, W., Roy, A., Delgado-Olguín, P., Hannigan, G., Maynes, J. T., and Coles, J. G. (2014) Integrin-linked kinase mediates force transduction in cardiomyocytes by modulating SERCA2a/PLN function. Nat Commun. 5, 4533

     

    1. Kato, H., Fu, Y. Y., Zhu, J., Wang, L., Aafaqi, S., Rahkonen, O., Slorach, C., Traister, A., Leung, C. H., Chiasson, D., Mertens, L., Benson, L., Weisel, R. D., Hinz, B., Maynes, J. T., Coles, J. G., and Caldarone, C. A. (2013) Pulmonary vein stenosis and the pathophysiology of “upstream” pulmonary veins. J. Thorac. Cardiovasc. Surg. 10.1016/j.jtcvs.2013.08.046

    Energetics/Mitochondrial Function

    7. Hogarth, K. A., Shkumat, N. A., Goman, S., Amirabadi, A., Bickford, S., Muthusami, P., Connolly, B. L., and Maynes, J. T. (2024) Biomarkers of mitochondrial stress and DNA damage during pediatric catheter-directed neuroangiography – a prospective single-center study. Pediatric Radiology. 10.1007/s00247-024-06048-7

     

    6. Chin, K., Jiang, H., Steinberg, B. E., Goldenberg, N. M., Desjardins, J.-F., Kabir, G., Liu, E., Vanama, R., Baker, A. J., Deschamps, A., Simpson, J. A., Maynes, J. T., Vinogradov, S. A., Connelly, K. A., Mazer, C. D., and Hare, G. M. T. (2024) Bilateral Nephrectomy Impairs Cardiovascular Function and Cerebral Perfusion in a Rat Model of Acute Hemodilutional Anemia. Journal of Applied Physiology. doi: 10.1152/japplphysiol.00858.2023.

     

    5. Bhosle, V. K., Sun, C., Patel, S., Ho, T. W. W., Westman, J., Ammendolia, D. A., Langari, F. M., Fine, N., Toepfner, N., Li, Z., Sharma, M., Glogauer, J., Capurro, M. I., Jones, N. L., Maynes, J. T., Lee, W. L., Glogauer, M., Grinstein, S., and Robinson, L. A. (2023) The chemorepellent, SLIT2, bolsters innate immunity against Staphylococcus aureus. eLife. 12, e87392, doi: 10.7554/eLife.87392.

     

    4. Toyama, Y., Harkness, R. W., Lee, T. Y. T., Maynes, J. T., and Kay, L. E. (2021) Oligomeric assembly regulating mitochondrial HtrA2 function as examined by methyl-TROSY NMR. Proc Natl Acad Sci USA. 118, e2025022118

     

    3. Tong, J., Krieger, J. R., Taylor, P., Bagshaw, R., Kang, J., Jeedigunta, S., Wybenga-Groot, L. E., Zhang, W., Badr, H., Mirhadi, S., Pham, N.-A., Coyaud, É., Yu, M., Li, M., Cabanero, M., Raught, B., Maynes, J. T., Hawkins, C., Tsao, M. S., and Moran, M. F. (2020) Cancer proteome and metabolite changes linked to SHMT2. PLOS ONE. 15, e0237981

     

    2. Abrahamson, J. R. et al. Renal tissue Po2 sensing during acute hemodilution is dependent on the diluent. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 318, R799–R812 (2020).

     

    1. Hogarth, K. A., Costford, S. R., Yoon, G., Sondheimer, N., and Maynes, J. T. (2017) DNM1L Variant Alters Baseline Mitochondrial Function and Response to Stress in a Patient with Severe Neurological Dysfunction. Biochem Genet. 7, 1–22

    Pediatric Medicine/Molecular Basis of Disease

    26. Olsen, J. M., Li, C., Fiadjoe, J., Von Ungern-Sternberg, B. S., Maynes, J. T., Polaner, D. M., Stricker, P., Wasserman, S., Engelhardt, T., and Matava, C. T. (2024) A Bibliometric Study of Patient Registries in Anesthesia. Anesthesia & Analgesia. 10.1213/ANE.0000000000007243.

     

    25. Niimi, N., Yang, A., Sumie, M., Hayes, J., Maynes, J. T., and Aoyama, K. (2024) Understanding three standard study designs for randomized controlled trials. J Anesth. 10.1007/s00540-024-03355-z

     

    24. Shioji, N., Sumie, M., Englesakis, M., Gilfoyle, E., Maynes, J. T., and Aoyama, K. (2024) Multisystem inflammatory syndrome in children: an Umbrella review. J Anesth. 10.1007/s00540-024-03323-7

     

    23. Diskin, C., Orkin, J., Dharmaraj, B., Agarwal, T., Parmar, A., McNaughton, K., Cohen, E., Sunderji, A., Faraoni, D., Fecteau, A., Fischer, J., Maynes, J., Mahant, S., and Friedman, J. (2023) Secondary impacts of the COVID-19 pandemic at a tertiary children’s hospital in Canada: a mixed-methods study. BMJ Open. 13, e059849, doi: 10.1136/bmjopen-2021-059849.

     

    22. Saleh, E., Pechhacker, M. G., Vig, A., Mehta, M., Maynes, J., Tumber, A., Tavares, E., Vincent, A., Mireskandari, K., and Heon, E. (2022) Unilateral cataract and congenital stationary night blindness in a child with novel variants in TRPM1. Journal of American Association for Pediatric Ophthalmology and Strabismus {JAAPOS}. doi: 10.1016/j.jaapos.2022.03.013

     

    21. Grudzinska Pechhacker, M. K., Jacobson, S. G., Drack, A. V., Scipio, M. D., Strubbe, I., Pfeifer, W., Duncan, J. L., Dollfus, H., Goetz, N., Muller, J., Vincent, A. L., Aleman, T. S., Tumber, A., Van Cauwenbergh, C., De Baere, E., Bedoukian, E., Leroy, B. P., Maynes, J. T., Munier, F. L., Tavares, E., Saleh, E., Vincent, A., and Heon, E. (2021) Comparative Natural History of Visual Function From Patients With Biallelic Variants in BBS1 and BBS10. Investigative Ophthalmology & Visual Science. 62, 26–26

     

    20. Shao, Z., Masuho, I., Tumber, A., Maynes, J. T., Tavares, E., Ali, A., Hewson, S., Schulze, A., Kannu, P., Martemyanov, K. A., and Vincent, A. (2021) Extended Phenotyping and Functional Validation Facilitate Diagnosis of a Complex Patient Harboring Genetic Variants in MCCC1 and GNB5 Causing Overlapping Phenotypes. Genes. 10.3390/genes12091352

     

    19. Shioji, N., Aoyama, K., Englesakis, M., Annich, G., and Maynes, J. T. (2021) Multisystem inflammatory syndrome in children during the coronavirus disease pandemic of 2019: a review of clinical features and acute phase management. J Anesth. 10.1007/s00540-021-02952-6

     

    18. Gai, N., Aoyama, K., Faraoni, D., Goldenberg, N. M., Levin, D. N., Maynes, J. T., McVey, M. J., Munshey, F., Siddiqui, A., Switzer, T., and Steinberg, B. E. (2021) General medical publications during COVID-19 show increased dissemination despite lower validation. PLOS ONE. 16, e0246427

     

    17. Tabbarah, S., Tavares, E., Charish, J., Vincent, A., Paterson, A., Di Scipio, M., Yin, Y., Mendoza-Londono, R., Maynes, J., Heon, E., and Monnier, P. P. (2020) COG5 variants lead to complex early onset retinal degeneration, upregulation of PERK and DNA damage. Sci Rep. 10, 21269

     

    16. Grudzinska Pechhacker, M. K., Yoon, G., Hazrati, L.-N., Maynes, J., MacDonald, H., Tavares, E., Vincent, A., and Heon, E. (2020) FLVCR1-related disease as a rare cause of retinitis pigmentosa and hereditary sensory autonomic neuropathy. European Journal of Medical Genetics. 10.1016/j.ejmg.2020.104037

     

    15. Gai, N., Maynes, J. T., and Aoyama, K. (2020) Unique challenges in pediatric anesthesia created by COVID-19. J Anesth. 10.1007/s00540-020-02837-0.

     

    14. Daeschler, S. C., Manson, N., Joachim, K., Chin, A. W. H., Chan, K., Chen, P. Z., Jones, A., Tajdaran, K., Mirmoeini, K., Zhang, J. J., Maynes, J. T., Zhang, L., Science, M., Darbandi, A., Stephens, D., Gu, F., Poon, L. L. M., and Borschel, G. H. (2020) Effect of moist heat reprocessing of N95 respirators on SARS-CoV-2 inactivation and respirator function. CMAJ. 10.1503/cmaj.201203

     

    13. Vig, A., et. al., and Genomics England Research Consortium (2020) DYNC2H1 hypomorphic or retina-predominant variants cause nonsyndromic retinal degeneration. Genetics in Medicine. 10.1038/s41436-020-0915-1

     

    12. Aoyama, K., Heath, A., Yang, A., Maynes, J. T., Petroz, G., Robertson, J., Mc Donnell, C., Velummailum, R., Bond, E., and Pechlivanoglou, P. (2020) Estimating the risk of SARS-CoV-2 transmission to pediatric anesthesiologists: a microsimulation model. Can J Anesth/J Can Anesth. 10.1007/s12630-020-01771-9

     

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    10. Kletke, S. N., Vincent, A., Maynes, J. T., Elbaz, U., Mireskandari, K., Lam, W.-C., and Ali, A. (2020) A de novo mutation in PITX2 underlies a unique form of Axenfeld-Rieger syndrome with corneal neovascularization and extensive proliferative vitreoretinopathy. Ophthalmic Genetics. 10.1080/13816810.2020.1768556.

     

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    6. Moran, J., Sanderson, K. G., Maynes, J., Vig, A., Batmanabane, V., Kannu, P., Tavares, E., Vincent, A., and Heon, E. (2018) IFT80 mutations cause a novel complex ciliopathy phenotype with retinal degeneration. Clin. Genet. 10.1111/cge.13408

     

    5. Wong, B. M., Keilman, J., Zuccaro, J., Kelly, C., Maynes, J. T., and Fish, J. S. (2016) Anesthetic Practices for Laser Rehabilitation of Pediatric Hypertrophic Burn Scars. Journal of Burn Care & Research. Publish Ahead of Print, 1

     

    4. Vincent, A., Ng, J., Gerth-Kahlert, C., Tavares, E., Maynes, J. T., Wright, T., Tiwari, A., Tumber, A., Li, S., Hanson, J. V. M., Bahr, A., MacDonald, H., Bähr, L., Westall, C., Berger, W., Cremers, F. P. M., Hollander, den, A. I., and Heon, E. (2016) Biallelic Mutations in CRB1Underlie Autosomal Recessive Familial Foveal Retinoschisis. Invest. Ophthalmol. Vis. Sci. 57, 2637–2646

     

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    2. Vincent, A., Forster, N., Maynes, J. T., Paton, T. A., Billingsley, G., Roslin, N. M., Ali, A., Sutherland, J., Wright, T., Westall, C. A., Paterson, A. D., Marshall, C. R., Consortium, F. C., and Heon, E. (2014) OTX2 mutations cause autosomal dominant pattern dystrophy of the retinal pigment epithelium. J Med Genet. 10.1136/jmedgenet-2014-102620

     

    1. Skene-Arnold, T. D., Luu, H. A., Uhrig, R. G., De Wever, V., Nimick, M., Maynes, J., Fong, A., James, M. N. G., Trinkle-Mulcahy, L., Moorhead, G. B., and Holmes, C. F. B. (2013) Molecular mechanisms underlying the interaction of protein phosphatase-1c with ASPP proteins. Biochemical Journal. 449, 649–659

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