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2290 citation(s) found for "Singh, S".

Advances in Hypothyroidism
Ashrafian, Hasan, Sara, Jaskanwal Deep Singh , Pan, Rui , Nguyen, Nhu-Tram A., Zhang, Ming , Pan, Rui Y., Lewandowski, Krzysztof Cezary

Mayo Clinic

No container title available | July 23, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.4236/9781618962665 Get It

Hypothyroidism, also called&nbsp;underactive thyroid&nbsp;or&nbsp;low thyroid, is a&nbsp;disorder of the endocrine system&nbsp;in which the&nbsp;thyroid gland&nbsp;does not produce enough&nbsp;thyroid hormone.&nbsp;It can cause a number of symptoms, such as&nbsp;poor ability to tolerate cold, a&nbsp;feeling of tiredness,&nbsp;constipation,&nbsp;depression, and&nbsp;weight gain.&nbsp;Occasionally there may be swelling of the front part of the neck due to&nbsp;goiter.&nbsp;Untreated cases of hypothyroidism during&nbsp;pregnancy&nbsp;can lead to delays in&nbsp;growth and intellectual development&nbsp;in the baby or&nbsp;congenital iodine deficiency syndrome.<br /> Worldwide,&nbsp;too little iodine&nbsp;in the diet is the most common cause of hypothyroidism.&nbsp;Hashimoto's thyroiditis&nbsp;is the most common cause of hypothyroidism in countries with sufficient dietary iodine.&nbsp;Less common causes include previous treatment with&nbsp;radioactive iodine, injury to the&nbsp;hypothalamus&nbsp;or the&nbsp;anterior pituitary&nbsp;gland, certain medications,&nbsp;a lack of a functioning thyroid at birth, or previous&nbsp;thyroid surgery.&nbsp;The diagnosis of hypothyroidism, when suspected, can be confirmed with&nbsp;blood tests&nbsp;measuring&nbsp;thyroid-stimulating hormone&nbsp;(TSH) and&nbsp;thyroxine&nbsp;levels.
Shared lipidome and proteome signatures of frontotemporal lobar degeneration and Alzheimer’s disease
Ambaw, Yohannes, Nana, Alissa , Li, Zhuoning , Singh, S , Monetti, Mara , Miller, Bruce, Spina, Salvatore , Grinberg, Lea T. , Seeley, William W. , Walther, Tobias C. , Farese, Robert, Nana, Alissa L , Spina, Salvatore , Grinberg, Lea , Seeley, William , Ambaw, Yohannes Abere , Farese, Robert V.

Mayo Clinic

No container title available | July 23, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-10305293/v1 | PMID 42539062 Get It

Abstract Frontotemporal lobar degeneration (FTLD) and Alzheimer’s disease (AD) differ in their clinical features and genetic etiologies but share progressive cognitive decline. Emerging evidence implicates lipid dysregulation in neurodegeneration, but its extent across FTLD subtypes and how it compares to AD are unclear. Here, we performed integrated lipidomic and proteomic analyses of matched frontal (disease-vulnerable) and occipital (relatively spared) post-mortem cortices from individuals with genetic and sporadic FTLD-TDP, FTLD-tau (Pick’s disease, PiD), AD, and controls. FTLD and AD exhibited convergent lipid alterations, including reduced levels of cardiolipins and phosphatidylethanolamines, alongside increased gangliosides, diacylglycerols, cholesterol esters, acylcarnitines, and coenzyme Q, with generally greater changes in FTLD frontal cortex. FTLD displayed additional alterations, including reductions in bis(monoacylglycerol)phosphate, ceramides, phosphatidylserines, phosphatidylinositols, and sulfatides. These lipid changes were accompanied by proteomic alterations involving lysosomal proteins, phospholipases, phospholipid remodeling enzymes, and fatty acid oxidation pathways. Although lipidomic and proteomic signatures were broadly shared across FTLD subtypes, GRN associated FTLD-TDP and PiD showed the most extensive alterations. Triglycerides were selectively reduced in PiD in association with decreased DGAT1 expression, whereas cholesterol esters were elevated across all subtypes except C9orf72 associated FTLD-TDP. These findings identify shared disruptions in lipid homeostasis and lysosomal lipid metabolism across FTLD and AD, highlighting convergent metabolic pathways underlying neurodegeneration.
Dual-Dye Nanoparticle Inks for Multimodal Visualization in Surgical Applications
Gosangi, Mallikarjun , Sant, Harsh Girish , Singh, Vanshika , Chowdhury, Trishita , Ortega, Dakota, Yaron, Jordan R. , Pannala, Rahul , Yaron, Jordan R , Godeshala, Sudhakar , Singh, Vanshika, Rege, Kaushal

Mayo Clinic

Chemical & Biomedical Imaging | July 22, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1021/cbmi.5c00275 Get It

An Artificial Intelligence Model for ECG-Based Prediction of Heart Failure with Preserved Ejection Fraction Diagnosis
Singh, Shekhar , Soliman, Elsayed Z., Kitzman, Dalane W., Herrington, David M. , Borlaug, B A, Davis, Robert L. , Shah, Sanjiv, Akbilgiç, Oğuz , Herrington, David M , Davis, Robert L , Akbilgic, Oguz , Karabayir, İbrahi̇m , Hayıt, Tolga , Soliman, Elsayed Z. , Kitzman, Dalane W. , Borlaug, Barry A.

Mayo Clinic

Journal of Cardiovascular Development and Disease | July 21, 2026 | Volume: 13 | Issue: 7 | Pages: 340

10.3390/jcdd13070340 | PMID 42505917 Get It

Background: Heart failure with preserved ejection fraction (HFpEF) accounts for over half of all heart failure (HF) cases and remains diagnostically challenging due to nonspecific symptoms and a lack of accessible noninvasive screening tools, leading to widespread underdiagnosis and delayed treatment. The electrocardiogram (ECG) is a low-cost, widely available tool that reflects myocardial electrical remodeling. We previously developed and externally validated an ECG-based artificial intelligence (ECG-AI) model capable of classifying ECGs into four categories: reduced ejection fraction (rEF), mid-range ejection fraction (mEF), HFpEF, and controls. In this study, we evaluate the ability of this ECG-AI model to predict future HFpEF diagnosis using real-world data from a large integrated health system. Methods: We applied the validated ECG-AI model to an independent cohort of 7713 patients from Wake Forest Baptist Health (WFBH), using one ECG per patient recorded before the clinical diagnosis of HFpEF. Model discrimination was evaluated across multiple prediction windows from six months up to ten years before diagnosis using the area under the receiver operating characteristic curve (AUC), with comparisons performed using DeLong’s test. Performance was also compared head-to-head with the H2FPEF score, a validated clinical score for HFpEF, in the subset of patients with complete data for score calculation. ECG-AI outputs were stratified into quartiles and evaluated using Kaplan–Meier survival analysis and multivariable Cox proportional hazards regression adjusted for demographics and major comorbidities. Results: Of the 7713 patients, 283 (3.7%) were subsequently diagnosed with HFpEF. The ECG-AI model achieved an AUC of 0.79 (95% CI, 0.72–0.86) using ECGs recorded within six months before diagnosis. Discrimination remained stable across prediction windows extending up to ten years before diagnosis (AUC range, 0.78–0.80; all DeLong p > 0.01 vs. the six-month window). Compared with the H2FPEF score, ECG-AI demonstrated superior discrimination, improving the AUC by 0.06–0.07 across the evaluated prediction windows. Patients in the highest ECG-AI risk quartile had an unadjusted hazard ratio (HR) of 11.18 (95% CI, 7.27–17.21; C-index, 0.75) and an adjusted HR of 6.60 (95% CI, 4.24–10.28; C-index, 0.82). Adding clinical covariates to ECG-AI improved the C-index by 0.07 and 0.09 for the five- and ten-year prediction windows, respectively. Conclusions: An independently validated ECG-AI model predicted incident HFpEF up to ten years before clinical diagnosis and outperformed the H2FPEF score using ECG alone, indicating that ECG-derived signatures precede clinical recognition of the syndrome. ECG-AI shows promise as a prognostic, risk-stratification tool to prioritize further evaluation; prospective validation and single-lead assessment are needed before screening or wearable deployment.
Role of Communication Skills Training in Enhancing Medical Education and Care for Disorders of Gut‐Brain Interaction
Petrik, Megan , FOX, J, Singh, Manavjot , Mitsuhashi, Shuji , Wang, Xiao Jing , Fox, Jean, Simonetto, Douglas A , Wang, Xiao Jing , Simonetto, Douglas A.

Mayo Clinic

Neurogastroenterology & Motility | July 18, 2026 | Volume: 38 | Issue: 7 | Pages: No page available

10.1111/nmo.70400 | PMID 42470228 Get It

Modifiable Risk Factors and Attributable Ischemic Heart Disease Mortality in US States, 1990-2023
Benziger, Catherine P., Stark, Benjamin A., Johnson, Catherine O., Roth, Gregory A., Collaborators, GBD 2023 US IHD, Abohashem, Shady, Ahmed, Syed Anees, Al-Aly, Ziyad, Alsabri, Mohammed A., Antony, Catherine M., Aravkin, Aleksandr Y., Areda, Demelash, Bell, Michelle L., Brauer, Michael, Chi, Gerald, Criqui, Michael H., Dai, Xiaochen, Doshi, Ojas Prakashbhai, Doshi, Rajkumar Prakashbhai, E’mar, Abdel Rahman, Elhadi, Muhammed, Göbölös, Laszlo, Haile, Demewoz, Hebert, Jeffrey J., Hemmati, Mehdi, Ibrahim, Ramzi, Kankam, Samuel Berchi, Kantar, Rami S., Khubchandani, Jagdish, Kim, Min Seo, Kimokoti, Ruth W., Kisa, Adnan, Kokkorakis, Michail, Kumar, Ashish, Liu, Xuefeng, Lv, Lei, Mahmoudi, Morteza, Manla, Yosef, Martinez-Piedra, Ramon, Marzouk, Sammer, Mensah, George A., Mestrovic, Tomislav, Miller, Ted R., Mokdad, Ali H., Mougin, Vincent, Mustafa, Ahmad, Nassar, Mahmoud, Natto, Zuhair S., Nugen, Fred, Parikh, Romil R., Pasovic, Maja, Patil, Shankargouda, Puvvula, Jagadeesh, Ramasamy, Shakthi Kumaran, Rashid, Ahmed Mustafa, Root, Kevin T., Sawhney, Monika, Schuermans, Art, Shariff, Mariam, Shuval, Kerem, Simegn, Gizeaddis Lamesgin, Singh, Rohit, Stafford, Lauryn K., Taiba, Jabeen, Tanwar, Manoj, Teramoto, Masayuki, Thirunavukkarasu, Sathish, Tran, Thang Huu, Uppal, Dipan, Vinayak, Manish, Yuce, Deniz, Murray, Christopher J. L., Moran, Andrew E., Kimokoti, Ruth W , Liu, Xuefeng , Nassar, Mahmoud , Singh, Rohit , Tanwar, Manoj , Yu, Hairui , Taiba, Jabeen , Benziger, Catherine P. , Stark, Benjamin, Johnson, Catherine O., Roth, Gregory A. , Collaborators, GBD, Abohashem, Shady , Al‐Aly, Ziyad , Antony, Catherine M, Aravkin, Aleksandr Y. , Areda, Demelash, Bräuer, Michael , Chi, Gerald , Criqui, Michael H. , Doshi, Ojas Prakashbhai , Doshi, Rajkumar , E’mar, Abdel Rahman, Elhadi, Muhammed, Göbölös, László , Haile, Demewoz , Hébert, Jeffrey J. , Hemmati, Mehdi , Ibrahim, Ramzi , Kankam, Samuel Berchi , Kantar, Rami S. , Khubchandani, Jagdish , Kısa, Adnan , Kokkorakis, Michail , Lv, Lei , Mahmoudi, Morteza , Manla, Yosef , Martínez, Ramón , Marzouk, Sammer , Mensah, George A. , Meštrović, Tomislav , Miller, Ted R. , Mokdad, Ali H. , Mougin, Vincent , Mustafa, Ahmad , Nassar, Mahmoud, Nugen, Fred , Pasovic, Maja , Puvvula, Jagadeesh , Rashid, Ahmed Mustafa , Root, Kevin T., Sawhney, Monika, Schuermans, Art , Shariff, Mariam , Shuval, Kerem , Simegn, Gizeaddis Lamesgin , Stafford, Lauryn K , Teramoto, Masayuki , Thirunavukkarasu, Sathish, Uppal, Dipan , Vinayak, Manish , Yuce, Deniz, Murray, Christopher J. L., Moran, Andrew Edward

Mayo Clinic

JAMA Cardiology | July 15, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jamacardio.2026.2435 | PMID 42455550 Get It

Importance Ischemic heart disease (IHD), the leading cause of death in the US, is predominantly due to modifiable risk factors. Estimates of IHD mortality attributable to risk factors provide evidence for health policy decision-making. Objective To estimate the burden of IHD death attributable to risk factors in the US from 1990-2023. Design, Setting, and Participants The Global Burden of Disease Study 2023 (GBD 2023) used vital records and a broad set of epidemiologic data to estimate IHD death rates, risk factor exposure, and relative risk curves for risk-outcome pairs for 1990-2023 for the general population. Data analysis was performed from October 2024 to December 2025. Exposure Twelve metabolic, behavioral, and environmental risk factors. Main Outcomes and Measures The primary outcomes were IHD death rates per 100 000 persons, counts, and attributable risks from 1990-2023 by age, sex, and US state. Estimates include 95% uncertainty intervals (UI). IHD death rates were estimated using ensemble modeling methods. Risk exposures were estimated using bayesian meta-regression methods. Relative risks were estimated following the Burden of Proof framework. Results In 2023, there were 473 000 IHD deaths (95% UI, 414 000-510 000) in the US, a decrease of 58.7% (95% UI, 56.8%-61.0%) in age-standardized rate since 1990. Between 2010 and 2023, there was a 19.0% decrease (95% UI, 15.0%-22.9%) for males and a 24.5% decrease (95% UI, 20.3%-29.7%) for females in IHD death rates. High systolic blood pressure (SBP), dietary risks, and high low-density lipoprotein cholesterol (LDL-C) were the leading risk factors for IHD deaths in 2023, accounting for 47.2% (95% UI, 36.4%-57.0%), 38.6% (95% UI, 17.2%-56.8%), and 28.5% (95% UI, 19.3%-39.6%) of IHD deaths, respectively. Increased exposure to several risk factors substantially increased their attributable burden for IHD deaths in 2023, with high fasting plasma glucose (FPG) increasing 38.8% (95% UI, 11.5%-81.1%) and high body mass index (BMI) increasing 54.5% (95% UI, 41.8%-66.3%) since 1990. Smoking and particulate matter pollution had the greatest decrease in attributable IHD mortality since 1990, at 33.3% (95% UI, 23.6%-41.7%) and 74.9% (95% UI, 46.7%-88.8%), respectively. Conclusion and Relevance Per the results of this systematic analysis of GBD 2023, a total of 88.7% (95% UI, 83.4%-92.5%) of IHD deaths were attributable to modifiable risk factors in the US in 2023, with high SBP, dietary risks, and high LDL-C being the greatest contributors. High BMI and high FPG showed the largest attribution increases, while exposure to other risks did not increase significantly for the population.
Comparative Seizure Outcomes of Vagus Nerve Stimulation, Deep Brain Stimulation, and Their Combination in Lennox–Gastaut Syndrome
Kuo, Cheng‐Yen , Singh, Raunak, Sharma, Shelja, Nguyen, Ryan D. , Wong‐Kisiel, Lily C. , Starnes, Keith , Gregg, Nicholas M. , Gompel, Jamie Van, Miller, Kai J., Worrell, Gregory A. , Wong-Kisiel, Lily C. , Van Gompel, Jamie, Lundstrom, Brian Nils , Worrell, Gregory A , Gregg, Nicholas M , Singh, Raunak , Starnes, Donnie Keith , Kuo, Cheng‐Yen , Nguyen, Ryan Toan Dinh , Gompel, Jamie J. Van , Miller, Kai J. , Lundstrom, Brian N.

Mayo Clinic

Annals of Neurology | July 14, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1002/ana.78308 | PMID 42446202 Get It

Objective Lennox–Gastaut syndrome (LGS) is a severe treatment‐resistant epilepsy. Although vagus nerve stimulation (VNS) and deep brain stimulation (DBS) are established therapies, comparative data and the impact of dual neuromodulation remain limited. We compared seizure outcomes across VNS, DBS, and combined DBS + VNS therapy in LGS. Methods This retrospective cohort study at Mayo Clinic (2005–2024) included LGS patients treated with VNS and/or DBS . Seizure frequency was assessed at 6, 12, and 24 months post‐stimulation. Responder was defined as 50% or more seizure reduction. Results Forty patients were included (42% female, median, 150 seizures/month). Eleven patients underwent sequential VNS followed by DBS and contributed data to 2 treatment epochs, yielding 3 treatment groups: VNS alone (n = 29), DBS alone (n = 12), and DBS + VNS (n = 10). At 24 months, median seizure reduction rate was comparable between VNS (50%; 95% confidence interval [ CI], 44–75%) and the overall DBS cohort (59%, 95% CI, 33–86%) ( p = 0.54). However, a significant difference emerged when comparing the 3 treatment arms ( p = 0.027). Specifically, DBS + VNS therapy yielded significantly greater median reduction rate (81%, 95% CI, 60–99%) than DBS alone (43%, 95% CI, 0–58%) ( p adj = 0.027) or VNS alone (50%, 95% CI, 44.4–75.0%) ( p adj = 0.048). Four patients attained sustained seizure freedom above 1 year at last follow‐up. Interpretation VNS and DBS provide comparable seizure reduction in LGS over a 2‐year follow‐up period. DBS + VNS was associated with further improvements in seizure reduction in this small, retrospective dataset. This possibility warrants further investigation. ANN NEUROL 2026
Plasma Phosphorylated Tau 217 in Participants at Risk for Chronic Traumatic Encephalopathy
Miner, A, Zetterberg, Henrik, Blennow, Kaj, Groh, Jenna R., Singh, Alpana, Dieckhoff, Kari, Tripodis, Yorghos, Adler, Charles H., Balcer, Laura J. , Bernick, C L, Peskind, Elaine, Asken, Breton M., Tanner, Jeremy A., Rabinovici, Gil D., Banks, Sarah J., Barr, William B., Wethe, Jennifer V., Cantu, Robert C., Dodick, David W., Mez, Jesse, Palmisano, J, Martin, Brett, Stein, Thor D., McKee, Ann C., Cummings, Jeffrey L., Shenton, Martha E., Reiman, E Bieto, Rc, Stern, Ashton, Nicholas J., Alosco, Michael L., Chen, Kewei, Protas, Hillary, Su, Yi, Boker, Connie, Au, Rhoda, Farrer, Lindsay, Helm, Robert, Kowall, Neil, Mercier, Gustavo, Otis, James, Weller, Jason, Bragg, Tahlia, Simkin, Irene, Trujillo-Rodriguez, Diana, Amerongen, Suzan van , Andino, Alondra, Conneely, Shannon, Diamond, Courtney, Fagle, Tessa, Haller, Olivia, Hunt, Tennyson, Gullotti, Nicole, Kossow, Bailey, Kugelmass, Carrie, Mariani, Megan, Mayville, Brian, McLaughlin, Kathleen, Nanna, Mary, DiPopolo, Marty, Platt, Taylor, Rice, Fiona, Sestak, Madison, McClean, Michael, Annis, Douglas, Chaisson, Christine, Dixon, Diane, Finney, Carolyn, Gallagher, Kerrin, Hartlage, Kaitlin , Lu, Jun, Ojo, E O, Pine, Brittany, Ramachandran, Janani, Baucom, Zachary, Tuz‐Zahra, Fatima , Yhang, Eukyung , Bouix, Sylvain, Fitzsimmons, Jennifer, Lin, Alexander P., Koerte, Inga K., Pasternak, Ofer, Arciniega, Hector , Billah, Tashrif , Bonke, Elena, Breedlove, Katherine M. , Carrington, Holly, Coello, Eduardo , Coleman, Michael J., John, Omar , Jung, Leonard, Liao, Huijun, Loy, Maria, Rizzoni, Elizabeth, Schulz, V. D., Silva, Annelise, Vessey, Brynn, Wiegand, Tim L.T, Miller, Jason, Ritter, Aaron , Sabbagh, Marwan, Cruz, Raelynn de la, Durant, Jan, Golceker, Morgan, Harmon, Nicolette, Kaylegian, Jaeson, Long, Rachelle, Nance, Christine, Sandoval, Priscilla, Staples, Miranda, Clark, Emma F., Serrano, Andrew, Geda, Yonas, Duffy, Amy, Falk, Bryce, Howard, Marci, Montague, Michelle , Osgood, Thomas, Babcock, Debra, Bellgowan, Patrick, GOLDBERG, JUDITH, Joseph, Binu , Kirov, Ivan, Lui, Yvonne, Marmar, Charles, Wisniewski, T R, Al-Kharafi, Alhassan, George, Allan, Hasanaj, Lisena, Martin, Sammie, Riley, Edward, Runge, William, Serrano, Liliana , Iliff, Jeffrey, Li, Gail, Janssen, D, Meabon, James, Piantino, Juan, Schindler, Abigail, Thomas, Ronald, Colasurdo, Elizabeth , Shofer, Jane, Marcus, Daniel S., Gurney, Jenny , Greenwald, Richard, Johnson, Keith A., Singh, Alpana , Singh, Alpana , Miner, Annalise E., Zetterberg, Henrik , Blennow, Kaj , Groh, Jenna R. , Singh, Alpana, Tripodis, Yorghos , Adler, Charles H. , Bernick, Charles , Peskind, Elaine R. , Asken, Breton M. , Rabinovici, Gil D. , Banks, Sarah J. , Barr, William , Wethe, Jennifer V. , Cantu, Robert C. , Dodick, David W. , Mez, Jesse , Stein, Thor D. , McKee, Ann C. , Cummings, Jeffrey L. , Shenton, Martha E. , Reiman, Eric M. , Ashton, Nicholas J. , Alosco, Michael L. , Protas, Hillary , Au, Rhoda, Weller, Jason , Trujillo‐Rodriguez, Diana , Fagle, Tessa, Mariani, Megan, McLaughlin, Kathleen , Pulukuri, Surya Vamsi , Sestak, Madison, McClean, Michael D , Annis, Douglas, Finney, Carolyn, Lu, Jun, Pine, Brittany, Ramachandran, Janani , Baucom, Zachary, Bouix, Sylvain , Koerte, Inga K , Pasternak, Ofer , Bonke, Elena M. , Carrington, Holly , Coleman, Michael J. , Liao, Huijun, Schulz, Vivian, Wiegand, Tim L. T. , II, Robert W. Turner , Marek, Kenneth , Geda, Yonas E. , Howard, Marci, Montague, Michelle, Babcock, Debra, Bellgowan, Patrick S.F. , Kirov, Ivan, George, Allan, Meabon, James S. , Piantino, Juan , Thomas, Ronald G. , Colasurdo, Elizabeth A. , Shofer, Jane, Marcus, Daniel S., Johnson, Keith A.

Mayo Clinic

JAMA Network Open | July 13, 2026 | Volume: 9 | Issue: 7 | Pages: e2622966

10.1001/jamanetworkopen.2026.22966 | PMID 42440317 Get It

Importance In vivo biomarkers for detecting neuropathologies from repetitive head impacts (RHI), including chronic traumatic encephalopathy (CTE), are needed. Objective To evaluate the utility of plasma phosphorylated tau 217 (p-tau217), assess its performance as a beta-amyloid (Aβ) biomarker in participants with RHI exposure at risk for CTE, and explore concordance with CTE neuropathology in a postmortem subsample. Design, Setting, and Participants This longitudinal, multicenter, case-control study used data from the Diagnostics, Imaging, and Genetics Network for the Objective Study and Evaluation of CTE (DIAGNOSE CTE) Research Project, collected from September 2016 to October 2023. Participants were former American football players (case participants) and asymptomatic men unexposed to RHI (control participants). A subsample had available neuropathologic data. Exposures RHI, traumatic encephalopathy syndrome (TES) diagnoses, and levels of CTE certainty. Main Outcomes and Measures Plasma p-tau217 (classified as positive [≥0.63 pg/mL], intermediate [0.40-0.62 pg/mL], and negative [&amp;lt;0.40 pg/mL]), Aβ–positron emission tomography (PET; 18 F-florbetapir; with Aβ-positive defined as a standardized uptake value ratio [SUVR] ≥1.10), and tau-PET ( 18 F-flortaucipir). TES diagnoses were assigned by multidisciplinary consensus conference. Analyses of postmortem brains controlled for age, race, and APOE ε4 status. Results Among 231 participants (mean [SD] age, 57.75 [8.25] years), 177 were former football players (117 professional and 60 college) and 54 were unexposed participants. Former football players had higher baseline mean (SD) p-tau217 concentrations than unexposed participants (0.35 [0.26] pg/mL vs 0.27 [0.14] pg/mL; P = .008), although this was driven by a higher proportion of Aβ-PET–positive participants among former players. Plasma p-tau217 increased over time across the sample (B = 0.207 [95% CI, 0.117-0.298]; P &amp;lt; .001), with no significant time × exposure group interactions. Among football players, p-tau217 showed no time × group interactions with TES diagnosis, TES-CTE certainty, or RHI metrics. Higher p-tau217 concentration correlated with higher global Aβ-PET SUVR (B = 0.058 [95% CI, 0.053-3.501; P = .01), with a few discordant cases (5 participants were p-tau217–negative and Aβ-PET–positive; 7 participants were p-tau217–positive and Aβ-PET–negative). P-tau217 had similar areas under the curve for projecting Aβ-PET positivity as cerebrospinal fluid (CSF) p-tau181/Aβ42 and CSF Aβ40/42 measures (p-tau217: AUC, 0.88 [95% CI, 0.80-0.96]; CSF p-tau181/Aβ42: AUC, 0.89 [95% CI, 0.79-1.00]; CSF Aβ40/42: AUC, 0.85 [95% CI, 0.72-0.98]). Among 9 brain donors, 6 had CTE (stages II-IV; none with Alzheimer disease). Seven had negative or intermediate p-tau217, concordant with Aβ-PET. Two p-tau217 outliers with stage III CTE had normal concentrations upon additional testing. Conclusions and Relevance The findings of this study suggest that plasma p-tau217 concentration is unlikely to be useful for the detection of CTE, but it does show utility for ruling out Aβ pathology in participants at risk for CTE.
Specific F 1 ATP synthase inhibition delivers transient mitochondrial stress for selective targeting of acute myeloid leukemia
Villaume, Matthew T. , Ramsey, Haley E. , Impedovo, Valeria , Davidson, Michael, Singh, Anand K. , Lee, Yujin , Skwarska, Anna , Almadani, Yara. F. , Baran, Natalia , Chaudhry, Sovira , Reisman, Benjamin J. , TenBarge, Eden G., Olmstead, Sarah, Gorska, Agnieszka E. , Zhao, Zhiguo , Konopleva, Marina , Arrate, Maria P , Singh, Anand K , Lee, Yujin , Skwarska, Anna , Almadani, Yara F , Baran, Natalia , Reisman, Benjamin J , TenBarge, Eden G , Jiang, Ming , Gorska, Agnieszka E , Monteith, Andrew J , Grace, Peter M , Bachmann, Brian O , Konopleva, Marina , Tiziani, Stefano , Savona, Michael R , Olmstead, Sarah D. , Savona, Michael R.

Mayo Clinic

No container title available | July 13, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.07.10.737821 | PMID 42523261 Get It

Abstract Targeting oxidative phosphorylation (OXPHOS) represents an attractive therapeutic strategy in acute myeloid leukemia, which exhibits exceptional dependence on mitochondrial respiration compared to normal hematopoietic cells. However, clinical attempts to exploit this vulnerability have been limited by on-target toxicity to healthy tissue. Here, we comprehensively compare the cellular consequences of inhibiting distinct nodes of the electron transport chain in AML. We demonstrate that selective inhibition of the F 1 subunit of ATP synthase with EB2023 (ammocidin A) delivers an energetic stress to AML cells without the profound redox stress that characterizes complex I inhibition, preventing NAD⁺/NADH imbalance and allowing continued TCA cycling. Further, the duration of OXPHOS inhibition is transient in nature in vivo , a finding revealed through pharmacokinetic and serial pharmacodynamic monitoring of AMPK phosphorylation accompanied by OPA1-mediated mitochondrial structural remodeling that primes AML cells for BCL2 inhibitor synergy. EB2023 in combination with venetoclax demonstrates potent anti-AML activity across cell lines and patient-derived xenograft models at doses that spare normal hematopoietic progenitors and avoid the neuropathy and sustained detrimental systemic metabolic rewiring in healthy tissues associated with prior efforts to target OXPHOS. These findings establish F 1 -selective ATP synthase inhibition as a clinically actionable therapeutic strategy in AML and establish the duration of OXPHOS inhibition as a critical and previously underappreciated determinant of therapeutic index.