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John C.
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John C.

AS SEEN ON
Nature Portfolio, Proceedings of the National Academy of Sciences

Twitter bio

The number one Twitter podcaster (see below) with a blue and green icon for an avatar. Substack column newly added. https://t.co/a5Z7Ka0A2l

Geo Focus

United States (National)

Coverage Attributes:

Beta
Informative: 49 %
Data Driven: 43 %
Reviews: 3 %
Opinion: 2 %
Promotional: 1 %

Themes Covered:

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Most Recent Topics:

  • Biology & Life Sciences
  • Neuroscience
  • Mental Health Care
  • Psychiatry
  • Psychology
  • Oncology
  • Immunology
  • Radiation Oncology

Pitching Insights

John C. primarily covers scientific and healthcare topics, with a significant focus on research findings and data-driven articles. Given this emphasis, he would likely be interested in receiving pitches from experts who can provide insights into the latest developments in cardiology, chemistry, space exploration, genetics, or environmental science.

As John's coverage heavily relies on cited data and press releases, experts looking to reach out should ensure that their pitches are well-supported by credible sources and recent studies within the respective fields. Additionally, given his broad range of article titles covering various scientific disciplines including cardiology, chemistry, space exploration among others; experts offering multidisciplinary perspectives may find success when reaching out to him.

While there is no specific geographic focus mentioned for John's coverage area based on the article titles provided; it appears that he takes an international view of scientific discoveries across different domains.

This information evolves through artificial intelligence and human feedback. Improve this profile .

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Articles

Nature Portfolio

Estimating high-resolution albedo for urban applications - Nature Communications

Estimating high-resolution albedo for urban applications - Nature Communications

By: Kemp, Prabhakara, Delich, Fork, Salil, David, Tristan, Platt, Jonas, Lucy R., Mackres, Kevin, Banerjee, Mayer, Prasad, Shravya, Ellie, Elizabeth J., Chennapragada, Shetty, Bryce, Sun, Battelle, Shruthi, Kansal, Milman, Vishal, Wayne, Eric, Mansi, Gautam, Rebecca, Crossan, Yael, Charlotte, John C., Goulden

This study introduces a high-resolution (30-cm) urban albedo dataset created by fusing Sentinel-2 and commercial imagery. The authors demonstrate how building-level cool-roof planning could mitigate extreme heat by up to 0.5°C in global cities.

Fire Technology journal by Springer Nature

Estimating the Long-Term Clinical and Economic Impact of Universal Varicella Vaccination in Portugal Using a Dynamic Transmission Model - PharmacoEconomics - Open

Estimating the Long-Term Clinical and Economic Impact of Universal Varicella Vaccination in Portugal Using a Dynamic Transmission Model - PharmacoEconomics - Open

By: Kujawski, John C., Lang, Burgess

Background Varicella vaccination is not currently included in Portugal’s childhood national immunization program. We modeled the clinical and economic impact of a two-dose universal varicella vaccination (UVV) program in Portugal. Methods A dynamic transmission model was adapted to Portugal to assess the impact of UVV over a 50-year time horizon. Two two-dose UVV strategies (first dose at 12 months, second dose at 5 years) were compared to no vaccination. Clinical outcomes included varicella and herpes zoster incidence rates, cases, deaths, quality-adjusted life years (QALYs) lost, and varicella-related health care resource use. Costs were assessed from the payer perspective (direct costs of treatment) and societal perspective (direct costs plus indirect costs of lost workdays). Results Both UVV strategies reduced total varicella cases by 79.4–85.3%, outpatient visits by 78.9–84.8%, and varicella hospitalizations by 69.3–71.3% compared to no varicella vaccination. Herpes zoster cases were reduced by 2.4–2.9%. These strategies resulted in the gain of 5977–6094 QALYs and cost savings of €12.0 million (M)–15.9M from the payer perspective and €84.2M–93.9M from the societal perspective. Conclusions A two-dose UVV program is estimated to substantially reduce the burden of varicella disease in Portugal and to be cost-saving from both the payer and societal perspectives.

Proceedings of the National Academy of Sciences

Female reproductive dysfunction and transgenerational consequences following prolonged spaceflight exposure

Female reproductive dysfunction and transgenerational consequences following prolonged spaceflight exposure

By: Braun, Hockey, V. Praveen, Fereshteh, Payton, Christenson, Sinha, Briana L., April E., Lane K., Joshua S., Prom, Choi, Val A., Alwood, Dalouchi, Stoltz, John C., Stephanie, Michael E., Ponte, Ronca, Hong, Puukila, Nies, Avanelle, Fajardo, E. Matthew, Jessica L., Molika, Xiaoman, Morris, Chakravarthi, Sungshin Y.

Spaceflight presents unique gravitational, radiation, and isolation hazards for human exploration of the Moon, Mars, and beyond, yet its impact on ...

Fire Technology journal by Springer Nature

Long-lived mammals contain more phosphorylation sites in the SIRT6 C-terminus that enhance PARP1 interaction and resistance to oxidative stress - GeroScience

Long-lived mammals contain more phosphorylation sites in the SIRT6 C-terminus that enhance PARP1 interaction and resistance to oxidative stress - GeroScience

By: Julia, Hryhorenko, Guo, Almodóvar, Philip, Tombline, Eric, Andrei, Swovick, Vera, Hillpot, John C., Bellomio, Kevin A.,, Jing, Kyle, Gregory, Michael E., Valeria, Ablaeva, Seluanov, Sina, Lan, Martinez, Meadow, Jennifer R., Gigas, Catherine, Jonathan, Rivera, Gorbunova, Ghaemmaghami

Sirtuin 6 (SIRT6) is a protein deacetylase and ribosyltransferase that is a vital hub for maintaining epigenetic homeostasis, regulating the transcriptome, and repairing DNA double stranded breaks (DSBs). Comprehensive proteomic profiling of the SIRT6 posttranslational landscape, however, remains elusive. The SIRT6 C-terminal domain contains multiple phosphorylation sites. We find that the presence and the use of these sites are strongly correlated with maximum lifespan across mammals. Subsequent biochemical and in silico analyses revealed that SIRT6 hyperphosphorylation enhances its interaction with PARP1. Mutating the T294 phosphorylation site in human fibroblasts led to decreased survival after oxidative stress in the phospho-null T294A and improved oxidative stress resistance in the phospho-mimetic T294E. Together, these results suggest SIRT6 C-terminal phosphorylation increases stress resistance and interaction with PARP1 and that this phosphorylation is more abundant in long-lived mammalian species. Graphical Abstract

Fire Technology journal by Springer Nature

The efficacy of antidepressant medication versus interpersonal psychotherapy for depression in middle-aged women: a systematic review and individual participant data meta-analysis - Archives of Women's Mental Health

The efficacy of antidepressant medication versus interpersonal psychotherapy for depression in middle-aged women: a systematic review and individual participant data meta-analysis - Archives of Women's Mental Health

By: Mario, Zachary D., Erica S., John C., Steven D., Frederik J.

Purpose Depression is highly prevalent in middle-aged women (MAW), but head-to-head comparisons of first-line interventions in this population are scarce. This systematic review and individual participant data (IPD) meta-analysis examined the comparative efficacy of antidepressant medication (ADM) and interpersonal psychotherapy (IPT) for MAW (aged 40–64) versus other adults (men and non-MAW) on depression, quality of life, and interpersonal problem measures. Methods PubMed, PsycINFO, Embase, and the Cochrane Library were searched January 1, 2025 to identify randomized trials comparing ADM and IPT for adults with depression. IPD were requested and analyzed using mixed-effects models. Results IPD were obtained from 9 of the 15 (60%) identified studies, comprising 1,490 participants (527 MAW, 963 other adults). MAW status did not significantly moderate ADM versus IPT comparative efficacy on depression (p = .10) and interpersonal problems (p = .29) outcomes. The two treatments did not significantly differ in treatment effect in the MAW group (depression: b = -0.03, p = .76; interpersonal problems: b = -0.20, p = .31). MAW status significantly moderated comparative efficacy on quality of life measures (b = 0.37, p = .02). Whereas IPT was non-significantly more efficacious than ADM for MAW (b = -0.18, p = .15), ADM were non-significantly more efficacious than IPT for other adults (b = 0.19, p = .051). Conclusion This is the first IPD meta-analysis directly comparing depression treatments in MAW. The absence of treatment effect differences indicates that other factors (e.g., patient preference) may guide choice between IPT and ADM in this population.

Proceedings of the National Academy of Sciences

Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment

Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment

By: Poe, Sungeun, Irimia, Sanjeev, Andrew J., Jiong, Brand, Eric C., Jonathan D., Geoffrey, Foroud, George, Chris, Kewei, Bates, Crawford, Budson, Cairns, Brosch, Anar, Barnes, Colleen S., Kielb, Blank, Smita, Bernard, Carl, Raslau, Gail, Stefanovic, Bonakdarpour, Karen, Lisa, Brockington, Hsiao, Jeffrey M., Mitsis, Brian R., Danowski, Maria T.,, Munic, Carlsson, Khachaturian, Christine M., Faber, Hyungsub, Tatiana M., Quinn, Raj, Shi, Korecka, Goldstein, Liana, Belden, Wong, David A.,, Rudow, Spann, Shulman, Craft, Scherer, Olusegun, Oscar L., Rosen, Lopez, Jacqueline, Leonie, Jr., Allyson, Cleveland, Kelly, Garrett, Mauricio, David, Poki-Walker, Feldman, Garcia, Radford, Juliet, Bartha, Lilly, Trung, Beau, Mathews, Rachel, Richard, Kelly A.,, Allison, Sheikh, Nigel J., Steven E., Kwangsik, Nguyen-Barrera, Alexander, Gustavo, Trojanowki, White, Koeppe, Donna M., Bernick, Ian, Doraiswamy, Risacher, Kittur, Saba, Lamar, Xinghe, Cucchi, Neu, Vanderswag, Pearlson, Michelle, Martin, Richard J., Chet, Helen, Borrie, Erin, Liberty, Mingxi, Pierce, Petersen, Brichko, Onyike, Godfrey, Franklin, Richard E., Payam, Ismail, Horacio, Gloria, Howard J., Grossman, Laura L., Kelly M., Dariella, Ravdin, Sara, Ward, Charles D., Relkin, Bryan M., Nunzio, Norman, Macavoy, Stacy, Clark, Bernhardt, Burns, Nikhil N., Nam, Jaimie, Mccann, Mary L., Rachinsky, Donna, Carole, Cat, Mason, P. Murali, Irina, Fernandez, Megan, Yuliana, Farrington, Anna, Tingus, Tremont, Moore, Lisa C., Shen, Honig, Sperling, William, Li, Phoebe, Jahanshad, Yesavage, Choe, Reyes, Kelley M., Sabbagh, Neylan, Greenberg, Pacini, Steven, James J.,, Pasternak, Nudelman, Wisniewski, Laurel, Amanda, Ntekim, Howard, Chaudhari, Ellen, Koleva, Potter, Brandy R., Douglas W.,, Robson, Dolen, Mark A., Delwyn D., Hernando, Antero, Creech, Raymond Scott, Turner, Thai, Mudge, Ances, Gunter, Denise, Hsiung, Francine, Flashman, Robert B., Chad, Rountree, Thompson, Householder, Nir, Jessica D.,, Kim, Jordan, Anderson, Kowall, Weiner, Miller, Pavlik, John, Gessert, Robin, Teresa, John C., Stephanie, Masterman, Eliezer, Ott, Craig, Flenniken, Kris, Harvey, Zamrini, Toga, Jared, Marissa, Carter, Kaye, Jerome, Bernstein, Matthew, Pawluczyk, Decarli, Keith A., Sheeba, Weintraub, Mia, Nahian F., Susan K., Kaycee M., Marc, Green, Thomas, Sophia I.,, Joanne L., Rawan, Joy L., Ki Won, Ozioma, Shaffer, Maryann, Beatriz, Adam P., Vemuri, Vesna, Chowdhury, Kejal, Brigid, Singleton-Garvin, Swerdlow, Reist, Bret, Lipowski, Jimenez-Maggiora, Kass, Rodriguez, Judith L., Stern, Randall, Lee, Reynolds, Cheng, Lind, Jeffrey A., Robert, Gregory A.,, Truran Sacrey, Sosa, Sara S., Shaw, Fatica, Mintzer, Mintun, Derek, Hajjar, Correia, Burke, Benita, Mark, Earl A.,, Kerwin, Porsteinsson, Anaztasia, Jennifer, Matt, Albers, Landau, Borowski, Gad A., Daniel H.S., Yang, Carroll, Paula, Stephen, Chengshi, Tom, Stobbs, Clanton, Daniel, Teng, Lah, Knopman, Nelson, Reisa A.,, Johnson, Evaristus, Karen M., Aaron, Borna, Mahboubi, Cellar, Jeff D., Kataki, Godfrey D., Tinklenberg, Walter, Becerra, Rottislav, Chenzhong, Hayes, Pradeep, González, Cynthia M., Finger, Marilyn, Griffith, Ron, Schultz, Edward, El Khouli, Bartzokis, Haley, Arvin, Sood, Riham, Silverman, Natelson Love, Oakley, Brendan, Shim, Michele, Rema, Mary, Pomara, Chiadi, Nathaniel, Fockler, Knaack, Ho, Vernice, Khan, Matthews, Clifford R., Williamson, Killiany, Conti, Hart, Roy J., Bickford, Neto, Salvador, Simpson, Wilmes, Hynes, Edmond, Mike, M. Saleem, Schneider, Marie, Andrei, Hristina, Saykin, Aimee, Quiceno, Veitch, Wolk, Lamb, Lu, Tarawneh, Grafman, Adrienne, Asthana, Ryan, Dang, Heyn, Tatsuoka, Dick, Butters, Charles, Olichney, Dana, Robert A.,, Woo, Jin, Mohammed O.,, Po H., Wu, Silverberg, Null, Carson, Balebail Ashok, Santulli, Taylor-Reinwald, Sarah, Potkin, Neuhaus, Jicha, Elizabeth, Winkfield, Carmichael, Neill R., Jared R., Lawrence S., Martin R.,, Samuel, Womack, Coleman, Thomas O.,, Parianne, Zmuda, Scott, Jacobo, Javier, Sadowski, Joseph, Jo, Jason H., Zimmerman, Chertkow, Olga, Karlawish, Brittanie, Maria, Forghanian-Arani, Paul, Assaly, Imms, Sterling, Brewer, Jeffrey R., Kyle, Bruce L.,, Meryl, Crissey, Senjem, Fargher, Shannon, Devon, Joseph S., Raina, Das, Daiello, Pauline, Ranjan, Amgalan, Martinez, Samuels, Kristin, Schwarz, Jesse, Kelly N., Bogdan, Catalinotto, Jamika, Leslie M., Hake, Raj C., Seltzer, Wolday, Boles Ponto, Martha G., Sandra, Christopher M.,, Kristi, Mesulam, Rachelle S.,, Hosein, Diana, Anton P.,, Janet S., Ashley, Norm, Karen Ekstam, Sossi, Neil, Vaishnavi, Albert, Arnold, Prashanthi, Terence Z., Herring, Levey, Shannon L.,, Betty, Farlow, Adegoke, Caileigh, Laura A.,, Rainka, Kormos, Ashford, Drost, Scharre, Obisesan, Grant, Dzintra, Fletcher, Geldmacher, Yanez, Paul M., Coker, Blanchard, Bonnie S., Hergesheimer, Evan, Lon S., Nadarajah, Melanie, Brittany, Gad, Wiliams, Christopher, Rao, Allan I.,, Castro, Carrillo, Apostolova, Okonkwo, Graff, Van Dyck, Jack, Black, Pizzola, Lin, Arthur, Konstantinos, Hector, Jonathan, Muse, Zaven, Villena, Drake, Mintz, Martin A.,, Ong, Maria T, Kremen, Kantarci, Arline, Perry, Magdalena, Lane, Peskind, Owen, Villanueva-Meyer, Taylor, Thomopoulos, Oyonumo E.,, Kathleen, Nosheny, Ogrocki, Patricia, Susan, Mez, Georgia, Tosun-Turgut, Chen, Donohue, Jackson, Nina, Aisen, Ulysse, James, Makino, Cabrera, Foster, Raman, Greig, Capote, Chinthaka, Nguyen, Duara, Debra, Thal, Masliah, Christopher H., Leon, Brooks, Sink, Emily, Stephanie Rossi, Jimenez, Arfanakis, Nancy, Sonia, Rob, Andrew E.,, Paul A., Malloy, Jaila, Nwulia, Lerner, Rosemarie, Varma, Doody, Elaine R., Mathis, Mackin, Dagerman, Angela, Flavius D., O’Connelll, Melissa, Ritter, Akiva, Dallas, Yiu Ho, Shibley, Ajay, Celmins, Michael, Rogalski, Teodoro, Marwan, Alan, Jeff, Michal, Montine, Au, William M., Reid, Sandhitsu, Suzanne, Hillel, Jagust, Marson, Petrie, Masdeu, Fleisher, Lord, Robert C., Shah, Stark, Rossi Chen, Ronald, Ann Marie, Petrella, Malone, Kristine, Liana G., Athena, Salazar, Heidebrink, Yushkevich, Morris, Elise, Shelley, Nick C.,, Eli, Michael W.,, John Q., Adam, Kertesz, Mecca, Marshall, Victoria, Talia M., Parfitt, Laurie, Fox, Neda, Smith, Javed I., Yin, Lindsey, Reiman, Valory, Rafii, Raymundo, Sloan, Maillard, Sanjay, Silbert, Andrew, Mimi, Vaitekunis, Catherine, Miriam, Abigail, Russell H.,, Munir, Kowalski, John K., Sarrael, Beckett, Chao, Bojana, Varon, Lori A., Jessica, Faustin, Connie, Oliver, Keltz, Chuang-Kuo, Gaby, Julia, Jeremy, Finley, Effie, Ziolkowski, Perrin, Curtis, Eric M., Chiang, Kimberly S., Danielle, Angelica, Arthur W.,, Massett, Fleischman, Rogers, Kelley, Nho, Figurski, Newhouse, Sadowsky, Witbracht, Jones, Barton, Duygu, Salloway, Ihab, Yaakov

The gap between chronological age (CA) and biological brain age, as estimated from magnetic resonance images (MRIs), reflects how individual patter...

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