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#SarsCoV2

21 posts14 participants2 posts today
Tom Kindlon

News Release 19-Aug-2025

Patients with Long COVID forced to become their own doctors

eurekalert.org/news-releases/1

"participants ... are using data from smartwatches and symptom-tracking apps to evidence their symptoms to their medical practitioners and advocate for diagnostic tests"

Hashtags:
@longcovid
#LongCovid #PASC #PwLC #postcovid #postcovid19 #LC #Covidlonghaulers #PostCovidSyndrome #longhaulers #COVIDBrain #NeuroPASC

@covid19 #Coronavirus
#COVID19 #COVID #COVID_19 #COVIDー19 #SARSCoV2

N95Bias Ⓥ🏴‍☠️

"A growing number of scientists believe that the SARS-CoV-2 virus may instead be subtly altering our immune systems. If correct, their hypothesis will change how we understand everything from respiratory syncytial virus (RSV) to shingles to sepsis."

God damn, finally.

bmj.com/content/390/bmj.r1733

The BMJ · Why scientists are rethinking the immune effects of SARS-CoV-2“Immunity debt,” a theory to explain the global surge in non-covid infections since pandemic restrictions were lifted, is increasingly being challenged by emerging evidence. Nick Tsergas reports Mycoplasma pneumoniae is a bacterial infection not known to cause widespread hospital admissions. “I can count on my two hands the number of times I’d ever seen mycoplasma pneumoniae before 2023,” says Samira Jeimy, clinical immunologist at the University of Western Ontario. “All of a sudden I feel like everybody has it.”1 Over the past three years similar reports have circulated of rising bacterial infections, flare-ups of old viruses becoming more common, and children landing in hospital with diseases not usually seen in young, healthy people. One explanation offered by public health leaders has been “immunity debt”2—the idea that precautions taken in the covid pandemic suppressed routine exposures to circulating pathogens, leaving people more vulnerable to them when restrictions were lifted. The theory landed in the public consciousness at the right moment. A simple idea that sounded like science, it soothed a public seeking answers just as the world was returning to a semblance of normality. And it served a policy function, allowing governments to focus on economic recovery. But its explanatory power has faded as the number of non-covid infections has kept rising each year. A 2024 analysis by the US Centers for Disease Control and Prevention3 found that invasive group A strep infections saw their most dramatic year-on-year increase from 2021 to 2022, well after most precautions had been lifted in the US. Rates have been abnormally high since then, raising questions about what might be behind the trend. A growing number of scientists believe that the SARS-CoV-2 virus may instead be subtly altering our immune systems. If correct, their hypothesis will change how we understand everything …
#PublicHealth#SARSCoV2#CovidIsNotOver
Neil

Are we ready, yet, to have the conversation about how SARS-CoV-2 can cause and/or rapidly accelerate cancer growth?

I'm not saying this about the person in this article specifically. But I'm also not, not saying it.

I'm asking if we're ready to at least start to connect the dots between the sudden uptick in rare and aggressive cancers and the COVID-19 pandemic. Are we ready to look at the science that is actually showing that is is not a coincidence?

Are we ready to add this to the list of why it's not "just a cold" virus?

archive.ph/C2nOf

#COVID#COVID19#Cancer
Tom Kindlon

News Release 17-Aug-2025
"#Covid infection ages blood vessels, especially in women"
eurekalert.org/news-releases/1

"The effect was greater in women than in men & in people who experienced the persistent symptoms of #longCovid, such as shortness of breath & fatigue"

Hashtags:
@longcovid
#PASC #PwLC #postcovid #postcovid19 #Covidlonghaulers #PostCovidSyndrome #COVIDBrain #NeuroPASC
@covid19 #Coronavirus
#COVID19 #COVID_19 #COVIDー19 #SARSCoV2 @novid@chirp.social #novid @novid@a.gup.pe #CovidIsNotOver
@auscovid19 #auscovid19

Tom Kindlon

Registration is now open for the NIH's second RECOVER-TLC Workshop, 'Pathways to Treatments', September 9 -10, in Bethesda MD. NIH researchers will update the community on the progress toward treatment options for #LongCOVID.

fnih.org/our-programs/recover-

In-person & virtual

@longcovid
#PwLC #PostCovidSyndrome #LC #PASC #postcovid
#CovidBrain
@covid19 #COVIDー19 #COVID19 #COVID #COVID_19 #SARSCoV2 #CovidIsNotOver #auscovid19 @auscovid19

Tom Kindlon

New UK research:

Mitochondrial function is impaired in #longCOVID patients

tandfonline.com/doi/full/10.10

"Correlations were observed between mitochondrial function and autonomic health, quality of life & time from index infection. Sex-specific differences were also observed”

@longcovid
#PwLC #PostCovidSyndrome #LC #PASC #postcovid
#CovidBrain
@covid19 #COVIDー19 #COVID19 #COVID #COVID_19 #SARSCoV2 #CovidIsNotOver #auscovid19 @auscovid19

Tom Kindlon

Metabolic brain changes in post-acute #COVID19: : systematic review & meta-analysis of [18F]-FDG-PET findings

link.springer.com/article/10.1

"Our key findings reveal a predominant pattern of glucose hypometabolism across various brain regions, with the frontal cortex being the most frequently affected area”

@longcovid
#LongCovid #PwLC #PostCovidSyndrome #LC #PASC #postcovid
#CovidBrain
@covid19 #COVID #SARSCoV2 @novid@chirp.social #novid @novid@a.gup.pe #CovidIsNotOver #auscovid19

SpringerLinkMetabolic brain changes in post-acute COVID-19: systematic review and meta-analysis of [18F]-FDG-PET findings - Brain Structure and FunctionIndividuals with long COVID exhibit neurological and psychiatric symptoms that often persist well beyond the initial SARS-CoV-2 infection. Studies using [18F]-FDG positron emission tomography (FDG-PET) have revealed diverse abnormalities in brain glucose metabolism during the post-acute phase of COVID-19. We conducted a systematic review and meta-analysis to assess the spatial distribution and heterogeneity of brain metabolic changes in patients in the post-acute phase of COVID-19 relative to controls. We searched the MEDLINE, EMBASE, and CENTRAL databases in June 2025 for studies reporting FDG-PET data in patients with post-acute COVID-19 who have persistent neurological symptoms. Of the 14 eligible studies (584 scans), 13 reported glucose hypometabolism across frontoparietal regions, with the frontal cortex being the most consistently affected. This finding was confirmed by meta-analysis, which revealed a large and significant effect in the frontal cortex (Hedges’ g = 1.34; 95% CI: 0.79–1.88; p < 0.001), despite high heterogeneity (I2 = 93.6%). The systematic review indicates that brain metabolism generally improves over time, with widely varying recovery timelines, and consistently correlates hypometabolism with neurological symptom burden. These findings underscore the clinical relevance of frontoparietal hypometabolism in post-acute COVID-19 and its association with neurocognitive deficits, highlighting the need for longitudinal, quantitative PET studies to elucidate temporal dynamics and inform therapeutic development.
Tom Kindlon

Incidence of Long COVID Following Reinfection with COVID-19

medrxiv.org/content/10.1101/20

RECOVER study. "We found COVID-19 reinfection resulted in a roughly 35% increase in the incidence of #longCOVID in a matched cohort using observational electronic health records”

@longcovid
#PwLC #PostCovidSyndrome #LC #PASC #postcovid #CovidBrain
@covid19 #COVIDー19 #COVID19 #COVID #COVID_19 #SARSCoV2 @novid@chirp.social #novid @novid@a.gup.pe #CovidIsNotOver #auscovid19 @auscovid19

medRxiv · Incidence of Long COVID Following Reinfection with COVID-19Background COVID-19 reinfections have emerged as a critical concern, particularly in relation to post-acute sequelae of SARS-CoV-2 infection, commonly known as long COVID. Long COVID is known to manifest diverse, debilitating symptoms across all demographics. Limited studies have investigated the causal relationship of COVID-19 reinfections and long COVID. Methods We leveraged demographically diverse electronic health records from the COVID-19 enclave of the National Clinical Cohort Collaborative, part of the RECOVER initiative, to create a matched cohort of reinfected and control adults. All participants had at least one documented COVID-19 infection. We used one-to-one coarsened exact matching on sex, race/ethnicity, age, healthcare utilization, existing comorbidities, site of care, and the timing and severity of first infection. Index dates were assigned to each matched pair as the date of reinfection for the reinfected case. Long COVID was defined using a machine learning computable phenotype trained on clinically diagnosed long COVID cases. Cumulative incidence one year after index was calculated using an Aalen-Johansen estimator. Risk ratios were calculated by taking the ratio of long COVID incidence among reinfected and control cases. Results We found that reinfection resulted in a significantly higher risk of long COVID compared to not being reinfected (risk ratio, 1.35, 95% CI, 1.32-1.39; risk difference, 0.029, 95% CI, 0.027-0.031). This effect was consistent across most stratifications. Conclusions We found that COVID-19 reinfection resulted in a roughly 35% increase in the incidence of long COVID in a matched cohort using observational electronic health records. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement This study was funded by NCATS Contract No. 75N95023D00001, Axle Informatics Subcontract: NCATS-P00438-B, and by the RECOVER Initiative (OT2HL161847-01). ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: IRB of Johns Hopkins University gave ethical approval for data transfer for N3C IRB of RTI International waived ethical approval for analysis for this study. I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes All data used and produced in the present work are available online to registered users of the National Clinical Cohort Collaborative (N3C). More information on how to register and obtain access can be found at <https://covid.cd2h.org/for-researchers>
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