Rikard Forlin

@zhao_allan @ScienceCluster 🎉🎉

Had a wonderful time at the #MetabolismInAction2024 conference organized at @ScienceCluster Favrholm last week! Great meeting program with many inspiring speakers and talks at a beautiful venue. Also very proud and thankful that our project received a poster award!

Happy and honoured to have contributed to this major project!

New paper out @Nature - why are males more vulnerable to severe infections (ex acute #COVID), while females suffer more from autoimmunity (SLE, MS etc and also #LongCovid)? sex chromosomes or hormones? Here we studied adaptation of human immune systems to gender-affirming testosterone treatment in trans-men assigned female sex at birth: nature.com/articles/s4158…

Where do #TissueTregs come from? The previous standard model is the "seeding and specialisation" model, where #Tregs enter from tissues, turn on a dedicated transcriptional program per #tissue, and dwell indefinitely in that tissue as specialised cells. 2/21

Molecular Pixelation @PixelgenTech is out! @naturemethods -rdcu.be/dHi87 Study I) abundance, II) spatial distribution & III) co-localization of hundreds of proteins in thousands of individual cells by sequencing. New dimensions in single cell biology 🙏@KAWstiftelsen

Our paper "Integrating population and single-cell variations in vaccine responses identifies a naturally adjuvanted human immune setpoint" @TsangLab is now online @ImmunityCP Link to open access pdf: authors.elsevier.com/c/1j0dm3qNrUxt…

Read our preprint to explore more of BLC’s features, such as improved computational efficiency, resistance towards noise-imputation or downsampling of marker genes, and reliable “runner ups” of classification! (5/5) biorxiv.org/content/10.110…

Even though it is a cell-by-cell classifier, BLC surpasses other tools in speed and shows more consistency in classifications. When a dataset was classified split in two or as a whole, BLC's incoherent annotations were 2%, compared to 11% seen with clustering algorithms (4/5)

Happy to have our latest preprint out now on bioRxiv where we present BayeLeafClassifier (BLC), a cell-by-cell classification framework for scRNA-seq data, without any dimensionality reduction or clustering algorithm. biorxiv.org/content/10.110… A brief summary (1/5)

🚨New paper alert! Restrained memory CD8+ T cell responses favors viral persistence and elevated IgG responses in patients with severe #LongCOVID medrxiv.org/content/10.110… a thread 1/6.

2/6. To maximise our chances of understanding mechanisms of disease we enrolled the 121 most severe cases among >1000 patients screened.

3/6. A key observation in #longCOVID is elevated IgG responses to SARS-CoV-2 which normally wane off but imply persistent antigen (viruses) in these patients.

4/6. Plasma spike and other antigens is found in ~10% of patients, but minimal overlap across assays and no correlation to symptoms or immune parameters. Possibly because viral reservoirs are not leaking into blood. Elevated IgG responses is a more sensitive marker of #LongCovid

5/6. But why do some people not clear SARS-CoV-2 viruses? We find restrained, but not exhausted, CD8 T cell responses that inversely correlate (clonal expansion) with IgG responses providing a possible mechanism of disease...

6/6. This work builds on the work of others (ex Klein et al, Nature, 2023; Cervia-Hasler et al, Science, 2024; Yin et al, Nat. Imm, 2024; Swank et al, 2022 etc) and advances our understanding of #longCOVID. Genetic analyses are now ongoing to find the cause of restrained antiviral T cell responses & viral persistence. Clinical trials of antivirals (Paxlovid) will soon conclude (ex. NCT05823896: clinicaltrials.gov/study/NCT05823… as well as NCT05668091 & NCT05595369). Thanks to all patients, team members and collaborators for making these advances possible! @LucieSTRod Ziyang Tan, @JBruchfeld @jamoulle @IsabelleMeyts @johanvawe @panhammarstrom @ErikMelen covidhge.com Walt lab, Davis lab etc

Amazing to be at #IUIS2023 in beautiful Cape Town and share our recent results on the Immunomodulatory effects of Testosterone in humans. Incredible meeting thus far!

Happy to share our new results by @AronArzoomand: "Too much of a good thing might be bad" at @KeystoneSymp #KSMicroImmune24. Inspired by great talks from @mfgrp @LabSilverman @thehandiestlab @LHooperLab (Sean Spencer) @LabSonnenburg, Noah Palm...Thanks for inviting me Jorge Henao-Mejia et al!

Excited to share some of our thoughts on Systems Immunology - together with Anna James and @BrodinPetter sciencedirect.com/science/articl…