Quantitative serum proteomic analysis for biomarker discovery in post-COVID-19 Postural Orthostatic Tachycardia Syndrome (PC-POTS) patients DOI Creative Commons

Taekyung Ryu,

Brit Adler,

Seeun Judy Jeong

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Авг. 30, 2024

Abstract Postural orthostatic tachycardia syndrome (POTS) is a chronic, debilitating condition that characterized by an excessive increase in heart rate upon challenge. Before the COVID-19 pandemic, POTS affected 0.5% to 1% of U.S. population. Since incidence has risen sharply, adding estimated 6-7 million new cases Despite its importance, there currently no reliable biomarker for POTS, leading significant diagnostic delays. A major hurdle identifying biomarkers heterogeneous nature syndrome. To address this, we focused on homogeneous subgroup post-COVID-19 (PC-POTS) patients. We conducted quantitative proteomics sera from 9 PC-POTS patients and healthy controls, 31 proteins with significantly different abundances Most elevated were linked actin filaments or immune functions/inflammation. Weighted Gene Co-Expression Network Analysis revealed module 7 (M7) correlated strongly diagnosis related traits. The key M7 included MTPN, TAGLN2, ADP-ribosylation factor 1, PDLIM1, PPIA, CNN2, LGALSL, TXN, TLN1, TUBA4A, IL4, TREML1, GP1BA, and, all highly these Cell-type enrichment analysis was associated neuronal cells. main pathways identified integrin signaling pathway, blood coagulation, glycolysis. These findings suggest could serve as PC-POTS. This study uses identify potential differentiate establishing foundation further research validation.

Язык: Английский

Positionspapier zum Post-COVID-Syndrom DOI

Elisabeth Schieffer,

Denise Hilfiker‐Kleiner, Axel Schlitt

и другие.

Deleted Journal, Год журнала: 2025, Номер unknown

Опубликована: Фев. 3, 2025

Процитировано

0

Quantitative serum proteomic analysis for biomarker discovery in post-COVID-19 postural orthostatic tachycardia syndrome (PC-POTS) patients DOI Creative Commons

Taekyung Ryu,

Brittany Adler,

Seeun Judy Jeong

и другие.

Autonomic Neuroscience, Год журнала: 2025, Номер 258, С. 103247 - 103247

Опубликована: Фев. 8, 2025

Язык: Английский

Процитировано

0

Tilt Table Testing DOI
William P. Cheshire, Daniel V. Dudenkov, Bala Munipalli

и другие.

JAMA, Год журнала: 2024, Номер 331(17), С. 1494 - 1494

Опубликована: Апрель 11, 2024

This Diagnostic Test Interpretation uses a patient case to illustrate tilt table testing, useful for evaluating patients with syncope of unknown cause or postural orthostatic tachycardia syndrome (POTS).

Язык: Английский

Процитировано

1

Do Vaccines Cause Postural Orthostatic Tachycardia Syndrome (POTS)? Review of Cases in the National Vaccine Injury Compensation Program DOI
Waqar Waheed, Gregory L. Holmes

Pediatric Neurology, Год журнала: 2024, Номер unknown

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

1

The risks of autoimmune- and inflammatory post-acute COVID-19 conditions: a network cohort study in six European countries, the US, and Korea DOI Creative Commons
Theresa Burkard, Kim López‐Güell, Martí Català

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Май 15, 2024

ABSTRACT Objectives We aimed to assess the risk of autoimmune- and inflammatory post-acute COVID-19 conditions. Design Descriptive network cohort study. Setting Electronic health records from UK Dutch primary care, Norwegian linked registry, hospital specialist centres in Spain, France, Korea, healthcare claims Estonia US. Participants followed individuals between September 2020 latest available data day they fulfilled at least 365 days prior observation (general population), additionally 91 after a SARS-Cov-2 negative test (comparator) or record (exposed patients). Main outcome measures assessed postural orthostatic tachycardia syndrome (POTS) diagnoses/symptoms, myalgic encephalomyelitis / chronic fatigues (ME/CFS) multi-inflammatory (MIS), several autoimmune diseases. For contextualisation, we any diabetes mellitus (DM). Meta-analysed crude incidence rate ratios (IRR) outcomes versus testing yield absolute risks. Furthermore, rates (IR) general population describe total disease burden. Results included 34’549’575 whom 2’521’812 had COVID-19, 4’233’145 first test. After compared patients, observed IRRs 1.24 (1.23-1.25), 1.22 (1.21-1.23), 1.12 (1.04-1.21) for POTS symptoms, ME/CFS symptoms diagnoses, respectively. In contrast, diseases DM did not higher COVID-19. individual database populations, IRs diagnoses were 17-1’477/100’000 person-years (pys) 2-473/100’000 pys, MIS lowest with 0.4-16/100’000 those as benchmark 8-86/100’000 pys. largely depended on care setting. Conclusion our unmatched comparison, that, following yielded than testing. terms, have similar burden DM. WHAT IS ALREADY KNOWN ON THIS TOPIC Observational research suggested positive associations so called conditions, whose spectrum is yet be established Basic pathways that link such (POTS), (ME/CFS), multiple STUDY ADDS symptoms/diagnoses was testing, increased working age group children elderly Disease burdens among women men overall

Язык: Английский

Процитировано

0

Quantitative serum proteomic analysis for biomarker discovery in post-COVID-19 Postural Orthostatic Tachycardia Syndrome (PC-POTS) patients DOI Creative Commons

Taekyung Ryu,

Brit Adler,

Seeun Judy Jeong

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Авг. 30, 2024

Abstract Postural orthostatic tachycardia syndrome (POTS) is a chronic, debilitating condition that characterized by an excessive increase in heart rate upon challenge. Before the COVID-19 pandemic, POTS affected 0.5% to 1% of U.S. population. Since incidence has risen sharply, adding estimated 6-7 million new cases Despite its importance, there currently no reliable biomarker for POTS, leading significant diagnostic delays. A major hurdle identifying biomarkers heterogeneous nature syndrome. To address this, we focused on homogeneous subgroup post-COVID-19 (PC-POTS) patients. We conducted quantitative proteomics sera from 9 PC-POTS patients and healthy controls, 31 proteins with significantly different abundances Most elevated were linked actin filaments or immune functions/inflammation. Weighted Gene Co-Expression Network Analysis revealed module 7 (M7) correlated strongly diagnosis related traits. The key M7 included MTPN, TAGLN2, ADP-ribosylation factor 1, PDLIM1, PPIA, CNN2, LGALSL, TXN, TLN1, TUBA4A, IL4, TREML1, GP1BA, and, all highly these Cell-type enrichment analysis was associated neuronal cells. main pathways identified integrin signaling pathway, blood coagulation, glycolysis. These findings suggest could serve as PC-POTS. This study uses identify potential differentiate establishing foundation further research validation.

Язык: Английский

Процитировано

0