The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index; 21 of the 36 sources its claims cite were checked for support.
An autoimmune stem-like CD8 T cell population drives type 1 diabetes
Open accessAbstract
CD8 T cell-mediated autoimmune diseases result from the breakdown of self-tolerance mechanisms in autoreactive CD8 T cells 1. How autoimmune T cell populations arise and are sustained, and the molecular programmes defining the autoimmune T cell state, are unknown. In type 1 diabetes, β-cell-specific CD8 T cells destroy insulin-producing β-cells. Here we followed the fate of β-cell-specific CD8 T cells in non-obese diabetic mice throughout the course of type 1 diabetes. We identified a stem-like autoimmune progenitor population in the pancreatic draining lymph node (pLN), which self-renews and gives rise to pLN autoimmune mediators. pLN autoimmune mediators migrate to the pancreas, where they differentiate further and destroy β-cells. Whereas transplantation of as few as 20 autoimmune progenitors induced type 1 diabetes, as many as 100,000 pancreatic autoimmune mediators did not. Pancreatic autoimmune mediators are short-lived, and stem-like autoimmune progenitors must continuously seed the pancreas to sustain β-cell destruction. Single-cell RNA sequencing and clonal analysis revealed that autoimmune CD8 T cells represent unique T cell differentiation states and identified features driving the transition from autoimmune progenitor to autoimmune mediator. Strategies aimed at targeting the stem-like autoimmune progenitor pool could emerge as novel and powerful immunotherapeutic interventions for type 1 diabetes.
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47 Own result · 20 Own interpretation · 11 Partly supported · 7 Supported · 4 No full text of the sources · 2 Own method · 1 Supported so far · accuracy not yet measured
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In the paper
“TCF1hi progenitor CD8 T cells that give rise to TCF1lo differentiated progeny have been described in chronic viral infections and cancers3 and our study reveals that a similar model applies to T1D.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Single-cell transcriptome and clonal analyses
What the sources say
- Partly supportedcites [3] Philip, M. & Schietinger, A. CD8+ T cell differentiation and dysfunction in cancer. Nat. Rev. Immunol. https://doi.org/10.1038/s41577-021-00574-3 (2021). sourceExperimental — accuracy not yet measured
The ‘Late dysfunction molecular programmes’ section reports that TCF1+ progenitor-like cells give rise to TCF1low differentiated cells in chronic viral infection. It also describes TCF1+ early dysfunctional tumour T cells differentiating into TCF1low late dysfunctional cells, but says evidence for a stable tumour-reactive progenitor population is lacking. The citation supports the differentiation pattern in cancer, not the stronger characterization of those tumour cells as established progenitors; the T1D finding is attributed to the citing authors’ own study. (LLM, conf=0.84)
plaincorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“β-cell-specific CD8 T cells in NOD mice are primed in the pancreatic draining lymph node (pLN) before they infiltrate the pancreas6,11.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Abstract
What the sources say
- Not checked — no full text of the sourcecites [6] Anderson, M. S. & Bluestone, J. A. The NOD mouse: a model of immune dysregulation. Annu. Rev. Immunol. 23, 447–485 (2005). source
- Partly supportedcites [11] Ferris, S. T. et al. A minor subset of Batf3-dependent antigen-presenting cells in islets of Langerhans is essential for the development of autoimmune diabetes. Immunity 41, 657–669 (2014). sourceExperimental — accuracy not yet measured
The Results report proliferation of β-cell-antigen-specific 8.3 CD8+ T cells in the pancreatic lymph node of NOD mice, and the Discussion describes CD8+ T-cell priming there. The paper does not establish that these CD8+ T cells are primed before infiltrating the pancreas; in the reported transfer experiment, the 8.3 cells did not enter the islets. (LLM, conf=0.83)
plaindirect- Asserted: passes — The authors put it forward as true.
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In the paper
“β-cell-specific CD8 T cell responses have notable longevity, which has been shown by the T cell-mediated destruction of islet transplantations in patients with longstanding T1D23.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Single-cell transcriptome and clonal analyses
What the sources say
- Partly supportedcites [23] Ehlers, M. R. & Rigby, M. R. Targeting memory T cells in type 1 diabetes. Curr. Diab. Rep. 15, 84 (2015). sourceExperimental — accuracy not yet measured
The Immunopathology of T1D section describes long-lived autoreactive memory T cells, beta-cell destruction in failed grafts, and antigen-specific CD8+ and CD4+ T cells identified after transplantation. It does not specify that the transplant recipients had longstanding T1D, and it presents the T-cell findings as strong evidence of recurrent autoimmunity rather than direct proof that CD8+ cells alone destroyed the grafts. Page numbers are unavailable in our copy. (LLM, conf=0.84)
plaindirect- Asserted: passes — The authors put it forward as true.
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- Partly supported
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In the paper
“In type 1 diabetes, β-cell-specific CD8 T cells destroy insulin-producing β-cells.”
- Also stated in: § Abstract · plain
“The pathogenesis of T1D is complex and involves immune cell infiltration of the pancreas: β-cell-specific CD8 T cells destroy insulin-producing β-cells in the pancreatic islets of Langerhans, leading to insulin deficiency and loss of glucose homeostasis4.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Abstract
What the sources say
- Partly supportedcites [4] Bluestone, J. A., Herold, K. & Eisenbarth, G. Genetics, pathogenesis and clinical interventions in type 1 diabetes. Nature 464, 1293–1300 (2010). sourceExperimental — accuracy not yet measured
The Pathophysiology of type 1 diabetes in mouse and human section (page unavailable) says autoreactive, islet-antigen-reactive T cells play a dominant role in the disease and that CD8+ cells appeared to dominate infiltrates in one study of human pancreases. But it also says the mediators of islet destruction have not been precisely defined; it does not establish that β-cell-specific CD8 T cells directly destroy the β-cells. (LLM, conf=0.86)
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- Also stated in: § Abstract · plain
Every source the paper cites for this claim was checked and supports it.
In the paper
“However, based on comparisons of single-cell transcriptomes, pLN TCF1hi AP in T1D have globally distinct gene-expression patterns compared with TCF1hi progenitor exhausted CD8 T cells in chronic viral infection24 (Extended Data Fig. 10).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Single-cell transcriptome and clonal analyses
What the sources say
- Supportedcites [24] Yao, C. et al. Single-cell RNA-seq reveals TOX as a key regulator of CD8+ T cell persistence in chronic infection. Nat. Immunol. 20, 890–901 (2019). source
The Results section, “Heterogeneity of antiviral CD8+ T cells in chronic infection,” identifies a Tcf7-high progenitor-like CD8+ population using single-cell RNA-seq. The separate Results section on acute and chronic infections identifies TCF1hi progenitor-like cells during chronic viral infection. The T1D comparison is presented as the citing authors’ own analysis (Extended Data Fig. 10), not as a finding attributed to this source. (LLM, conf=0.91)
plain- Asserted: passes — The authors put it forward as true.
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- Supported
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In the paper
“CD8 T cells recognizing the β-cell protein islet-specific glucose-6-phosphatase catalytic subunit-related protein (IGRP) represent a major pathogenic population in mice and humans6,8,10.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Abstract
What the sources say
- Not checked — no full text of the sourcecites [6] Anderson, M. S. & Bluestone, J. A. The NOD mouse: a model of immune dysregulation. Annu. Rev. Immunol. 23, 447–485 (2005). source
- Not checked — no full text of the sourcecites [8] Tsai, S., Shameli, A. & Santamaria, P. CD8+ T cells in type 1 diabetes. Adv. Immunol. 100, 79–124 (2008). source
- Partly supportedcites [10] Coppieters, K. T. et al. Demonstration of islet-autoreactive CD8 T cells in insulitic lesions from recent onset and long-term type 1 diabetes patients. J. Exp. Med. 209, 51–60 (2012). sourceExperimental — accuracy not yet measured
The Results (Immunohistochemical detection; page unavailable) say IGRP reactivity was the most ubiquitous specificity in the patients’ insulitic lesions. The Discussion says these CD8 T cells may mediate β-cell loss, rather than establishing that IGRP-reactive cells are a major pathogenic population. The mouse passages describe assay optimization using NOD tissue, not the claimed pathogenic role in mice. (LLM, conf=0.86)
plaindirect- Asserted: passes — The authors put it forward as true.
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In the paper
“In support of our findings, a recent study found that circulating β-cell–specific CD8 T cells in T1D patients are epigenetically distinct from TCM, effector memory T (TEM) cells and exhausted CD8 T cells in chronic infection26 (for example, in HIV).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Single-cell transcriptome and clonal analyses
What the sources say
- Supportedcites [26] Abdelsamed, H. A. et al. Beta cell-specific CD8+ T cells maintain stem cell memory-associated epigenetic programs during type 1 diabetes. Nat. Immunol.21, 578–587 (2020). source
In Results (‘Beta cell-specific CD8+ T cells acquire Tscm-like epigenetic programming’; page not provided), circulating cells from T1D patients clustered closest to Tscm cells and were segregated from chronically stimulated HIV-specific CD8+ T cells. The Results also report a different methylation pattern from Tem cells and a higher methylation-based multipotency score than Tcm and Tem cells. (LLM, conf=0.92)
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Crucially, when we analysed the expression-based trajectory of a single shared clone in the pLN, we found clonal expansion along a similar differentiation path from TCF1hi to TCF1lo as described in Fig. 4a (Extended Data Fig. 9g).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Single-cell transcriptome and clonal analyses
plaincorrelationalSingle case- Asserted: passes — The authors put it forward as true.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Pancreatic TCF1lo cells expressed significantly more activated caspases 3 and 7 than the pLN populations”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > pLN TCF1hi cells have stem-like functions
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“IGRP T cells in the pLN segregated into two distinct populations based on TCF1 expression (Fig. 1e).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Bifurcation into TCF1hi and TCF1lo cells
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Probably not a substantial claim. 16
- It may state two separate claims as one. 27
Every source the paper cites for this claim was checked and supports it.
In the paper
“CD8 T cell-mediated autoimmune diseases result from the breakdown of self-tolerance mechanisms in autoreactive CD8 T cells1.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Abstract
What the sources say
- Supportedcites [1] Bluestone, J. A., Bour-Jordan, H., Cheng, M. & Anderson, M. T cells in the control of organ-specific autoimmunity. J. Clin. Invest. 125, 2250–2260 (2015). source
The Introduction explains that central and peripheral tolerance control autoreactive T cells and prevent autoimmunity. The Central tolerance section links pathogenic, autoreactive CD8+ T cells to self-antigen recognition and a mismatch with antigens displayed in the thymus. Together, these passages support the claim as a broad mechanistic paraphrase; the copy provides no page numbers. (LLM, conf=0.84)
plaindirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“T1D becomes clinically evident when the majority (over 80%) of β-cells have been destroyed, requiring a prolonged latent period of β-cell killing over time (months to years in humans)5.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Abstract
What the sources say
- Partly supportedcites [5] Herold, K. C., Vignali, D. A., Cooke, A. & Bluestone, J. A. Type 1 diabetes: translating mechanistic observations into effective clinical outcomes. Nat. Rev. Immunol. 13, 243–256 (2013). sourceExperimental — accuracy not yet measured
The paper’s opening discussion (page unavailable in our copy) describes a long prediabetic period during which β cells are killed over many years. But it says that as much as 30% of β-cell mass may remain at onset, so it does not support the claim that clinical disease requires destruction of over 80%. (LLM, conf=0.88)
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“The non-obese diabetic (NOD) mouse model is a clinically relevant model of T1D6,7 and shares many features with the human disease, including spontaneous CD4 and CD8 T cell responses to many of the same β-cell antigens6–9.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Abstract
What the sources say
- Not checked — no full text of the sourcecites [6] Anderson, M. S. & Bluestone, J. A. The NOD mouse: a model of immune dysregulation. Annu. Rev. Immunol. 23, 447–485 (2005). source
- Partly supportedcites [7] Unanue, E. R. Antigen presentation in the autoimmune diabetes of the NOD mouse. Annu. Rev. Immunol. 32, 579–608 (2014). sourceExperimental — accuracy not yet measured
The Introduction and Conclusions describe NOD mice as a spontaneous model of T1D with important similarities to human disease. The Diabetogenic CD4 T Cells section reports broad β-cell autoreactivity and identifies both CD4 and CD8 T cells in NOD mice; Human Studies also reports insulin-reactive T cells in people with T1D. But the paper does not establish spontaneous CD4 and CD8 responses to many of the same β-cell antigens in both species, and the Conclusions explicitly leave the human counterpart of a described NOD CD4 response as an open question. (LLM, conf=0.86)
- Not checked — no full text of the sourcecites [8] Tsai, S., Shameli, A. & Santamaria, P. CD8+ T cells in type 1 diabetes. Adv. Immunol. 100, 79–124 (2008). source
- Partly supportedcites [9] Zakharov, P. N., Hu, H., Wan, X. & Unanue, E. R. Single-cell RNA sequencing of murine islets shows high cellular complexity at all stages of autoimmune diabetes. J. Exp. Med. 217, e20192362 (2020). sourceExperimental — accuracy not yet measured
The Introduction describes NOD diabetes as chronic and similar to human T1D, and the Discussion says both have CD4 and CD8 T cells in their islets. The Discussion reports responses to insulin and other β-cell antigens in NOD mice, but says this study did not determine T-cell specificity; it does not establish that mouse and human T cells respond to many of the same antigens. No page numbers are available in our copy. (LLM, conf=0.87)
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Haematopoietic19, somatic14 and cancer stem cells20 in mice and humans have been identified via serial transplantation of limiting cell numbers into immunodeficient mice.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > pLN TCF1hi cells have stem-like functions
What the sources say
- Partly supportedcites [19] Graef, P. et al. Serial transfer of single-cell-derived immunocompetence reveals stemness of CD8+ central memory T cells. Immunity 41, 116–126 (2014). sourceExperimental — accuracy not yet measured
The Discussion describes this study’s serial single-cell transfers as modeled on hematopoietic stem-cell studies, and the Results compare its recovery rate with that of single hematopoietic stem cells. Those passages support the hematopoietic analogy, but do not establish the claimed use of immunodeficient mice to identify hematopoietic stem cells in both mice and humans. The separately cited somatic and cancer stem-cell claims are not assessed here. (LLM, conf=0.83)
- Not checked — no full text of the sourcecites [14] van Loosdregt, J. & Coffer, P. J. The role of WNT signaling in mature T cells: T cell factor is coming home. J. Immunol. 201, 2193–2200 (2018). source
- Not checked — no full text of the sourcecites [20] Lapidot, T. et al. A cell initiating human acute myeloid leukaemia after transplantation into SCID mice. Nature 367, 645–648 (1994). source
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In autoimmunity, self-reactive T cells acquire cytotoxic effector functions and cause destruction of self1.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Abstract
What the sources say
- Partly supportedcites [1] Bluestone, J. A., Bour-Jordan, H., Cheng, M. & Anderson, M. T cells in the control of organ-specific autoimmunity. J. Clin. Invest. 125, 2250–2260 (2015). sourceExperimental — accuracy not yet measured
The Conclusion (Figure 1; page unavailable) says autoreactive T cells are more prone to activation in autoimmune disease and that autoreactive ex-Foxp3 cells may contribute to tissue destruction. It describes those cells producing pro-inflammatory cytokines, but does not establish that self-reactive T cells acquire cytotoxic effector functions as the claim specifies. (LLM, conf=0.82)
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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Probably not a substantial claim. It may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“TOX has been described as a key driver of CD8 T cell exhaustion in tumours and chronic infections, settings of persistent antigen encounter3.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Phenotype of IGRP-specific CD8 T cells
What the sources say
- Supportedcites [3] Philip, M. & Schietinger, A. CD8+ T cell differentiation and dysfunction in cancer. Nat. Rev. Immunol. https://doi.org/10.1038/s41577-021-00574-3 (2021). source
The ‘Late dysfunction molecular programmes’ section describes TOX as an important regulator of T cell dysfunction programmes in tumours and chronic infection. The ‘Exhaustion’ section links both settings to persistent antigen stimulation. The review also cautions that TOX’s effects vary by T cell state, but the claim says only that it has been described as a key driver. (LLM, conf=0.90)
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“TCF1hi progenitor CD8 T cells that give rise to TCF1lo differentiated progeny have been described in chronic viral infections and cancers3”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Single-cell transcriptome and clonal analyses
What the sources say
- Partly supportedcites [3] Philip, M. & Schietinger, A. CD8+ T cell differentiation and dysfunction in cancer. Nat. Rev. Immunol. https://doi.org/10.1038/s41577-021-00574-3 (2021). sourceExperimental — accuracy not yet measured
The ‘Late dysfunction molecular programmes’ section says that TCF1+ progenitor-like CD8+ T cells give rise to TCF1low differentiated cells during chronic viral infection. For cancer, it describes TCF1+ early dysfunctional tumour-infiltrating cells differentiating into TCF1low late dysfunctional cells, but says evidence for a stable population of tumour-reactive TCF1+ progenitors within tumours is lacking. Page numbers are unavailable in our copy. (LLM, conf=0.86)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“In cancers or chronic viral infections, contexts in which T cells encounter persistent antigen, T cells enter a hyporesponsive state generally referred to as T cell exhaustion or dysfunction3.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Abstract
What the sources say
- Supportedcites [3] Philip, M. & Schietinger, A. CD8+ T cell differentiation and dysfunction in cancer. Nat. Rev. Immunol. https://doi.org/10.1038/s41577-021-00574-3 (2021). source
The “Exhaustion” section says chronic antigen stimulation during infection leads to a hyporesponsive state called exhaustion. It also says T cells in progressing tumours become hyporesponsive after continuous encounters with tumour antigens, and that exhaustion is used to describe their dysfunction. (LLM, conf=0.92)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“The gold-standard assay to evaluate stem cell functions remains serial transplantation in animal models.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > pLN TCF1hi cells have stem-like functions
What the sources say
- Supportedcites [19] Graef, P. et al. Serial transfer of single-cell-derived immunocompetence reveals stemness of CD8+ central memory T cells. Immunity 41, 116–126 (2014). source
The Results describe generating a secondary progeny as a prerequisite for conclusively assigning stemness. The Introduction and Discussion describe serial transfer into animal hosts as an in vivo clonogenic assay that stringently evaluates self-renewal, multipotency, and functional reconstitution. Although the paper does not use the words “gold standard,” it treats this approach as a stringent test of stem-cell function. (LLM, conf=0.86)
- Not checked — no full text of the sourcecites [14] van Loosdregt, J. & Coffer, P. J. The role of WNT signaling in mature T cells: T cell factor is coming home. J. Immunol. 201, 2193–2200 (2018). source
- Not checked — no full text of the sourcecites [20] Lapidot, T. et al. A cell initiating human acute myeloid leukaemia after transplantation into SCID mice. Nature 367, 645–648 (1994). source
boosted- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Moreover, anti-CD3 treatment (teplizumab) has been shown to induce long-term protection (currently up to six years) from T1D in at-risk individuals, but the mechanisms responsible for this long-term protection remain incompletely understood29,30”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Single-cell transcriptome and clonal analyses
What the sources say
- Partly supportedcites [29] Herold, K. C. et al. An anti-CD3 antibody, teplizumab, in relatives at risk for type 1 diabetes. N. Engl. J. Med. 381, 603–613 (2019). sourceExperimental — accuracy not yet measured
The Results (Efficacy; page not provided) show that teplizumab delayed diagnosis of type 1 diabetes in high-risk relatives, and the Discussion reports a median delay of two years. The paper does not establish protection lasting six years: median follow-up was 745 days, although the longest follow-up was 2683 days (Results, Participants; page not provided). It describes delayed progression, not prevention of diabetes. (LLM, conf=0.87)
- Partly supportedcites [30] Sims, E. K. et al. Teplizumab improves and stabilizes beta cell function in antibody-positive high-risk individuals. Sci. Transl. Med. 13, eabc8980 (2021). sourceExperimental — accuracy not yet measured
The Results section reports a sustained delay in T1D among high-risk relatives treated with teplizumab; eight treated participants followed beyond five years remained undiagnosed. It does not establish protection specifically through six years, and describes delayed diagnosis rather than permanent prevention. Page numbers were not provided in our copy. (LLM, conf=0.85)
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“In acute infections, antigen-specific CD8 T cells differentiate into functional cytotoxic effector and memory T cells2.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Abstract
What the sources say
- Supportedcites [2] Kaech, S. M. & Cui, W. Transcriptional control of effector and memory CD8+ T cell differentiation. Nat. Rev. Immunol. 12, 749–761 (2012). source
The opening passage (labeled Abstract; page not supplied) describes antigen-specific T cells differentiating into effectors during an acute infection and CD8+ T cells becoming cytotoxic lymphocytes. A later passage under the same label says a subset of pathogen-specific effector CD8+ T cells survives and matures into memory cells. (LLM, conf=0.94)
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“TCF1 is a transcription factor critical for T cell memory, longevity and self-renewal13.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Bifurcation into TCF1hi and TCF1lo cells
What the sources say
- Supportedcites [13] Escobar, G., Mangani, D. & Anderson, A. C. T cell factor 1: a master regulator of the T cell response in disease. Sci Immunol 5, eabb9726 (2020). source
The Introduction identifies Tcf1 as a transcription factor critical for CD8+ T cell memory. The section on Tcf1+ stem-like CD8+ T cells describes their self-renewal and capacity to sustain durable responses, supporting the claim’s longevity and self-renewal language. (LLM, conf=0.88)
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
- Supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The pLN TCF1hi population was highly clonally diverse compared with the pLN and pancreas TCF1lo populations and contained an abundance of rare, unexpanded clones that were exclusive to the pLN TCF1hi pool (Fig. 4e, Extended Data Fig. 9c–e).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Single-cell transcriptome and clonal analyses
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Clustering and trajectory analyses revealed that cells with high and low expression of Tcf7 were at opposite ends of the trajectory; Tcf7hi cells displayed a stem-like transcriptional program, whereas Tcf7lo cells harboured a terminally differentiated and cytotoxic program (Fig. 4a, b, Extended Data Fig. 8a–d).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Single-cell transcriptome and clonal analyses
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Donor 8.3 cells bifurcated into TCF1hiCD39lo and TCF1loCD39hi populations in the pLN, whereas only TCF1loCD39hi T cells emerged in the pancreas, recapitulating the same phenotypes of endogenous IGRP CD8 T cells in wild-type NOD mice (Extended Data Fig. 5b–d).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > pLN TCF1hi cells have stem-like functions
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“FTY720-treated mice lost half of the initial pancreatic CD8 T cell population, whereas control mice had significantly more CD8 T cells in the pancreas compared with the beginning of treatment (Fig. 3h, Extended Data Fig. 6e–g).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > pLN TCF1hi cells have stem-like functions
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“NOD/SCID hosts that received pLN TCF1hi cells became diabetic whereas hosts that received TCF1lo cells did not (Fig. 3b, Extended Data Fig. 6a).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > pLN TCF1hi cells have stem-like functions
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We identified intermediate cell states along the trajectory, which retained Tcf7 expression but lost some stemness-associated genes and upregulated genes associated with the Tcf7lo cluster (Fig. 4a, b, Extended Data Fig. 8b–f).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Single-cell transcriptome and clonal analyses
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“High Sell (which encodes CD62L) and Entpd1 (which encodes CD39) RNA transcript and protein expression marked the opposite ends of the differentiation trajectory, while intermediate cell states did not express Sell (or CD62L) or Entpd1 (or CD39).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Single-cell transcriptome and clonal analyses
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Insulin B-chain-specific CD8 T cells also bifurcated into distinct TCF1hiCD39loPD1lo and TCF1loCD39hiPD1hi populations in the pLN and displayed a consistently TCF1loCD39hiPD1hi phenotype in the pancreas (Extended Data Fig. 2c, d).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Bifurcation into TCF1hi and TCF1lo cells
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Mice treated with FTY720 were completely protected from T1D and had significantly reduced insulitis compared with control mice (Fig. 3f, g).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > pLN TCF1hi cells have stem-like functions
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“by which time approximately 80% of NOD mice in our colony have developed T1D (Extended Data Fig. 1b).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Phenotype of IGRP-specific CD8 T cells
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Even as few as 100 TCF1hi cells were sufficient to induce T1D, whereas as many as 100,000 TCF1lo cells were not (Fig. 3b).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > pLN TCF1hi cells have stem-like functions
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Despite the expression of these inhibitory markers, IGRP T cells were highly functional and produced high levels of IFNγ and TNF upon ex vivo stimulation (Fig. 1c).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Phenotype of IGRP-specific CD8 T cells
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“TCF1hi and TCF1lo cells, comprising approximately 80% and 20% of the IGRP-specific population, respectively, could be identified in the pLN as early as 5 weeks of age, and persisted throughout disease progression and mouse lifespan (25 to 30 weeks).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Bifurcation into TCF1hi and TCF1lo cells
hedged- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Gene set enrichment analyses (GSEA) and gene ontology classification showed that pLN TCF1hi cells were enriched for pathways involved in MYC and E2F signalling and DNA replication, whereas pLN TCF1lo cells were enriched for pathways associated with T cell activation, cytotoxicity and apoptosis (Extended Data Fig. 3b, c).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Transcriptome of autoimmune T cells
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The select clones that were shared between the pLN TCF1hi and other populations expanded significantly in size upon downregulation of TCF1; consequently, the majority of clonotypes found in TCF1lo cells were shared with the TCF1hi population (Extended Data Fig. 9f).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Single-cell transcriptome and clonal analyses
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“pLN IGRP T cells expressed moderate levels of TOX and pancreatic IGRP T cells expressed minimal levels of TOX, in contrast to exhausted and dysfunctional T cells in chronic viral infections and tumours (Fig. 1d, Extended Data Fig. 1d).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Phenotype of IGRP-specific CD8 T cells
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“IGRP-specific CD8 T cells (hereafter referred to as IGRP T cells) can be found in the pLN and pancreas as early as 5 weeks of age, and their frequency increases over time, peaking at around 0.3% and 20% of CD8 T cells in the pLN and pancreas by 15–20 weeks, respectively”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Phenotype of IGRP-specific CD8 T cells
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“(note: transferred donor T cells were not detected in pancreas before day 12)”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Extended Data
plainn = 2- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“demonstrating that pLN TCF1hi cells can both self-renew and produce differentiated progeny.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > pLN TCF1hi cells have stem-like functions
boosteddirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
In the paper
“Although CD4 T cells initiate pancreatic infiltration and provide help to CD8 T cells, the CD8 T cells primarily responsible for β-cell destruction8”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Abstract
What the sources say
- Not checked — no full text of the sourcecites [8] Tsai, S., Shameli, A. & Santamaria, P. CD8+ T cells in type 1 diabetes. Adv. Immunol. 100, 79–124 (2008). source
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“AP are necessary to generate and replenish the pool of pancreatic AM, which are short-lived and thus unable to independently sustain the prolonged β-cell destruction that causes T1D.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Single-cell transcriptome and clonal analyses
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We propose that the induction and maintenance of diabetogenic T cell responses requires two functionally distinct populations: short-lived pancreatic AM to destroy β-cells and self-renewing pLN AP to replenish the AM population, thereby enabling sustained β-cell damage that culminates in T1D.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Single-cell transcriptome and clonal analyses
hedgeddirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In conclusion, pLN TCF1hi cells represent a stem-like autoimmune progenitor (AP) population that self-renews long-term and gives rise to terminally differentiated pancreatic TCF1lo autoimmune mediators (AM) that destroy β-cells (Fig. 4f).”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Single-cell transcriptome and clonal analyses
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“No statistical methods were used to pre-determine sample size.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Methods > Data reporting
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The investigators were not blinded to allocation during experiments and outcome assessment.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Methods > Data reporting
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“TCF1 is one of the targets of canonical Wnt signalling, which maintains stemness in adult tissue stem cells, tumours, and peripheral T cells14,15.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Transcriptome of autoimmune T cells
What the sources say
- Not checked — no full text of the sourcecites [14] van Loosdregt, J. & Coffer, P. J. The role of WNT signaling in mature T cells: T cell factor is coming home. J. Immunol. 201, 2193–2200 (2018). source
- Not checked — no full text of the sourcecites [15] Reya, T. et al. A role for Wnt signalling in self-renewal of haematopoietic stem cells. Nature 423, 409–414 (2003). source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“FTY720, a sphingosine-1-phosphate receptor agonist that blocks lymph node egress and has been shown to protect NOD mice from T1D21,22”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > pLN TCF1hi cells have stem-like functions
What the sources say
- Not checked — no full text of the sourcecites [21] Maki, T., Gottschalk, R., Ogawa, N. & Monaco, A. P. Prevention and cure of autoimmune diabetes in nonobese diabetic mice by continuous administration of FTY720. Transplantation 79, 1051–1055 (2005). source
- Not checked — no full text of the sourcecites [22] Brinkmann, V. et al. Fingolimod (FTY720): discovery and development of an oral drug to treat multiple sclerosis. Nat. Rev. Drug Discov. 9, 883–897 (2010). source
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Stem-like functionality of pLN TCF1hi CD8 T cells and generation of differentiated TCF1lo CD8 T cells are independent of lymphopenic conditions.”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Extended Data
plainn = 10- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper relies on this without support.
How autoimmune T cell populations arise and are sustained, and the molecular programmes defining the autoimmune T cell state, are unknown.
“How autoimmune T cell populations arise and are sustained, and the molecular programmes defining the autoimmune T cell state, are unknown.”
The paper relies on this without support.
Despite presumed chronic self-antigen exposure on normal tissues, autoimmune T cells do not become dysfunctional, but retain effector functions and progressively destroy the tissue.
“Despite presumed chronic self-antigen exposure on normal tissues, autoimmune T cells do not become dysfunctional, but retain effector functions and progressively destroy the tissue.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source doesn’t support the claim as written.
In the citing paper
“and exhausted CD8 and CD4 T cells are present in inflamed tissues of T1D 36,62 and systemic lupus erythematosus (SLE) 63 models.”
From Autoantigen-specific CD4+ T cells acquire an exhausted phenotype and persist in human antigen-specific autoimmune diseases (2024) · cites this paper as [62]
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Methods > scRNA-seq integration with public datasets
“Gene count matrices for day 7 CD8 T cells from acute and chronic infection were obtained from GEO (GSE119940)”
§ An autoimmune stem-like CD8 T cell population drives type 1 diabetes > Data availability
“Comparisons to publicly available published data used the following datasets: GSE11994324, GSE13013025 and GSE7081356.”
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Yu, G., Wang, L.-G., Han, Y., & He, Q.-Y. (2012) · OMICS: A Journal of Integrative Biology · doi:10.1089/omi.2011.0118 · Cited by 36,259
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219
A scaling normalization method for differential expression analysis of RNA-seq data
Robinson, M. D., & Oshlack, A. (2010) · Genome Biology · doi:10.1186/gb-2010-11-3-r25 · Cited by 7,876
A cell initiating human acute myeloid leukaemia after transplantation into SCID mice
Lapidot, T., Sirard, C., Vormoor, J., Murdoch, B., Hoang, T., Caceres-Cortes, J., Minden, M., Paterson, B., Caligiuri, M. A., & Dick, J. E. (1994) · Nature · doi:10.1038/367645a0 · Cited by 4,783
Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9
Doench, J. G., Fusi, N., Sullender, M., Hegde, M., Vaimberg, E. W., Donovan, K. F., Smith, I., Tothova, Z., Wilen, C., Orchard, R., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3437 · Cited by 4,637
GENCODE: The reference human genome annotation for The ENCODE Project
Harrow, J., Frankish, A., Gonzalez, J. M., Tapanari, E., Diekhans, M., Kokocinski, F., Aken, B. L., Barrell, D., Zadissa, A., Searle, S., et al. (2012) · Genome Research · doi:10.1101/gr.135350.111 · Cited by 4,585
Fast gene set enrichment analysisPreprint
Korotkevich, G., Sukhov, V., Budin, N., Shpak, B., Artyomov, M. N., & Sergushichev, A. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/060012 · Cited by 3,742
Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors
Haghverdi, L., Lun, A. T. L., Morgan, M. D., & Marioni, J. C. (2018) · Nature Biotechnology · doi:10.1038/nbt.4091 · Cited by 2,416
A role for Wnt signalling in self-renewal of haematopoietic stem cells
Reya, T., Duncan, A. W., Ailles, L., Domen, J., Scherer, D. C., Willert, K., Hintz, L., Nusse, R., & Weissman, I. L. (2003) · Nature · doi:10.1038/nature01593 · Cited by 2,159
McCarthy, D. J., Campbell, K. R., Lun, A. T. L., & Wills, Q. F. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btw777 · Cited by 1,852
dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering
Galili, T. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv428 · Cited by 1,826
Transcriptional control of effector and memory CD8+ T cell differentiation
Kaech, S. M., & Cui, W. (2012) · Nature Reviews Immunology · doi:10.1038/nri3307 · Cited by 1,628
A step-by-step workflow for low-level analysis of single-cell RNA-seq data
Lun, A. T. L., McCarthy, D. J., & Marioni, J. C. (2016) · F1000Research · doi:10.12688/f1000research.9501.1 · Cited by 1,551
Fingolimod (FTY720): discovery and development of an oral drug to treat multiple sclerosis
Brinkmann, V., Billich, A., Baumruker, T., Heining, P., Schmouder, R., Francis, G., Aradhye, S., & Burtin, P. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3248 · Cited by 1,273
Genetics, pathogenesis and clinical interventions in type 1 diabetes
Bluestone, J. A., Herold, K., & Eisenbarth, G. (2010) · Nature · doi:10.1038/nature08933 · Cited by 1,265
An anti-CD3 antibody, teplizumab, in relatives at risk for type 1 diabetes
Herold, K. C., Bundy, B. N., Long, S. A., Bluestone, J. A., DiMeglio, L. A., Dufort, M. J., Gitelman, S. E., Gottlieb, P. A., Krischer, J. P., Linsley, P. S., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1902226 · Cited by 1,189
THE NOD MOUSE: A Model of Immune Dysregulation
Anderson, M. S., & Bluestone, J. A. (2005) · Annual Review of Immunology · doi:10.1146/annurev.immunol.23.021704.115643 · Cited by 1,113
Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
L. Lun, A. T., Bach, K., & Marioni, J. C. (2016) · Genome Biology · doi:10.1186/s13059-016-0947-7 · Cited by 1,108
CD8+ T cell differentiation and dysfunction in cancer
Philip, M., & Schietinger, A. (2022) · Nature Reviews Immunology · doi:10.1038/s41577-021-00574-3 · Cited by 1,052
Self-citationHobit and Blimp1 instruct a universal transcriptional program of tissue residency in lymphocytes
Mackay, L. K., Minnich, M., Kragten, N. A. M., Liao, Y., Nota, B., Seillet, C., Zaid, A., Man, K., Preston, S., Freestone, D., et al. (2016) · Science · doi:10.1126/science.aad2035 · Cited by 1,010
Stem and progenitor cells: origins, phenotypes, lineage commitments, and transdifferentiations
Weissman, I. L., Anderson, D. J., & Gage, F. (2001) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev.cellbio.17.1.387 · Cited by 948
Orchestrating single-cell analysis with Bioconductor
Amezquita, R. A., Lun, A. T. L., Becht, E., Carey, V. J., Carpp, L. N., Geistlinger, L., Marini, F., Rue-Albrecht, K., Risso, D., Soneson, C., et al. (2020) · Nature Methods · doi:10.1038/s41592-019-0654-x · Cited by 945
Coppieters, K. T., Dotta, F., Amirian, N., Campbell, P. D., Kay, T. W. H., Atkinson, M. A., Roep, B. O., & von Herrath, M. G. (2012) · Journal of Experimental Medicine · doi:10.1084/jem.20111187 · Cited by 672
TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis
Ji, Z., & Ji, H. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw430 · Cited by 643
destiny : diffusion maps for large-scale single-cell data in R
Angerer, P., Haghverdi, L., Büttner, M., Theis, F. J., Marr, C., & Buettner, F. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btv715 · Cited by 640
Single-cell RNA-seq reveals TOX as a key regulator of CD8+ T cell persistence in chronic infection
Yao, C., Sun, H.-W., Lacey, N. E., Ji, Y., Moseman, E. A., Shih, H.-Y., Heuston, E. F., Kirby, M., Anderson, S., Cheng, J., et al. (2019) · Nature Immunology · doi:10.1038/s41590-019-0403-4 · Cited by 549
Christianson, S. W., Shultz, L. D., & Leiter, E. H. (1993) · Diabetes · doi:10.2337/diab.42.1.44 · Cited by 427
Lieberman, S. M., Evans, A. M., Han, B., Takaki, T., Vinnitskaya, Y., Caldwell, J., SERREZE, D. V., Shabanowitz, J., Hunt, D. F., Nathenson, S. G., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0932778100 · Cited by 388
Self-citationTeplizumab improves and stabilizes beta cell function in antibody-positive high-risk individuals
Sims, E. K., Bundy, B. N., Stier, K., Serti, E., Lim, N., Long, S. A., Geyer, S. M., Moran, A., Greenbaum, C. J., Evans-Molina, C., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abc8980 · Cited by 377
Spontaneous Autoimmune Diabetes in Monoclonal T Cell Nonobese Diabetic Mice
Verdaguer, J., Schmidt, D., Amrani, A., Anderson, B., Averill, N., & Santamaría, P. (1997) · The Journal of Experimental Medicine · doi:10.1084/jem.186.10.1663 · Cited by 363
A protocol for islet isolation from mouse pancreas
Li, D., Yuan, Y.-H., Tu, H.-J., Liang, Q., & Dai, L. (2009) · Nature Protocols · doi:10.1038/nprot.2009.150 · Cited by 342
Fingolimod for Multiple Sclerosis
Pelletier, D., & Hafler, D. A. (2012) · New England Journal of Medicine · doi:10.1056/nejmct1101691 · Cited by 317
Graef, P., Buchholz, V. R., Stemberger, C., Flossdorf, M., Henkel, L., Schiemann, M., Drexler, I., Höfer, T., Riddell, S. R., & Busch, D. H. (2014) · Immunity · doi:10.1016/j.immuni.2014.05.018 · Cited by 311
Čulina, S., Lalanne, A. I., Afonso, G., Cerosaletti, K. M., Pinto, S., Sebastiani, G., Kuranda, K., Nigi, L., Eugster, A., Østerbye, T., et al. (2018) · Science Immunology · doi:10.1126/sciimmunol.aao4013 · Cited by 282
pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components
Marini, F., & Binder, H. (2019) · BMC Bioinformatics · doi:10.1186/s12859-019-2879-1 · Cited by 272
Type 1 diabetes: translating mechanistic observations into effective clinical outcomes
Herold, K. C., Vignali, D. A. A., Cooke, A., & Bluestone, J. A. (2013) · Nature Reviews Immunology · doi:10.1038/nri3422 · Cited by 237
T cell factor 1: A master regulator of the T cell response in disease
Escobar, G., Mangani, D., & Anderson, A. C. (2020) · Science Immunology · doi:10.1126/sciimmunol.abb9726 · Cited by 211
Ferris, S. T., Carrero, J. A., Mohan, J. F., Calderon, B., Murphy, K. M., & Unanue, E. R. (2014) · Immunity · doi:10.1016/j.immuni.2014.09.012 · Cited by 164
T cells in the control of organ-specific autoimmunity
Bluestone, J. A., Bour-Jordan, H., Cheng, M., & Anderson, M. (2015) · Journal of Clinical Investigation · doi:10.1172/jci78089 · Cited by 155
Zakharov, P. N., Hu, H., Wan, X., & Unanue, E. R. (2020) · Journal of Experimental Medicine · doi:10.1084/jem.20192362 · Cited by 149
Orchestrating Single-Cell Analysis with BioconductorPreprint
Amezquita, R. A., Carey, V. J., Carpp, L. N., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/590562 · Cited by 142
Chapter 4 CD8+ T Cells in Type 1 Diabetes
Tsai, S., Shameli, A., & Santamaria, P. (2008) · Advances in Immunology · doi:10.1016/s0065-2776(08)00804-3 · Cited by 140
Abdelsamed, H. A., Zebley, C. C., Nguyen, H., Rutishauser, R. L., Fan, Y., Ghoneim, H. E., Crawford, J. C., Alfei, F., Alli, S., Ribeiro, S. P., et al. (2020) · Nature Immunology · doi:10.1038/s41590-020-0633-5 · Cited by 121
CD8+ T cell homing to the pancreas in the nonobese diabetic mouse is CD4+ T cell-dependent
Thivolet, C. H., Bendelac, A. S., Bédossa, P., et al. (1991) · The Journal of Immunology · doi:10.4049/jimmunol.146.1.85 · Cited by 107
CiteFuse enables multi-modal analysis of CITE-seq data
Kim, H. J., Lin, Y., Geddes, T. A., Yang, J. Y. H., & Yang, P. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btaa282 · Cited by 103
Population dynamics of islet-infiltrating cells in autoimmune diabetes
Magnuson, A. M., Thurber, G. M., Köhler, R. H., Weissleder, R., Mathis, D. J., & Benoist, C. O. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1423769112 · Cited by 99
Maki, T., Gottschalk, R., Ogawa, N., & Monaco, A. P. (2005) · Transplantation · doi:10.1097/01.tp.0000161220.87548.ee · Cited by 68
Antigen Presentation in the Autoimmune Diabetes of the NOD Mouse
Unanue, E. R. (2014) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032712-095941 · Cited by 63
Effector-Memory T Cells Develop in Islets and Report Islet Pathology in Type 1 Diabetes
Chee, J., Ko, H., Skowera, A., Jhala, G., Catterall, T., Graham, K. L., Sutherland, R. M., Thomas, H. E., Lew, A. M., Peakman, M., et al. (2013) · The Journal of Immunology · doi:10.4049/jimmunol.1302100 · Cited by 55
The Role of WNT Signaling in Mature T Cells: T Cell Factor Is Coming Home
van Loosdregt, J., & Coffer, P. J. (2018) · The Journal of Immunology · doi:10.4049/jimmunol.1800633 · Cited by 50
Targeting Memory T Cells in Type 1 Diabetes
Ehlers, M. R., & Rigby, M. R. (2015) · Current Diabetes Reports · doi:10.1007/s11892-015-0659-5 · Cited by 40
E2A-regulated epigenetic landscape promotes memory CD8 T cell differentiation
Schauder, D. M., Shen, J., Chen, Y., Kasmani, M. Y., Kudek, M. R., Burns, R., & Cui, W. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2013452118 · Cited by 40
Sinnathamby, G., Lauer, P., Zerfass, J., Hanson, B., Karabudak, A., Krakover, J. D., Secord, A. A., Clay, T. M., Morse, M. A., Dubensky, T. W., et al. (2009) · Journal of Immunotherapy · doi:10.1097/cji.0b013e3181b0b125 · Cited by 31
Self-citation
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Sun, L., Su, Y., Jiao, A., Wang, X., & Zhang, B. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01471-y · Cited by 1,153
The immunology of type 1 diabetes
Herold, K. C., Delong, T., Perdigoto, A. L., Biru, N., Brusko, T. M., & Walker, L. S. K. (2024) · Nature reviews. Immunology · doi:10.1038/s41577-023-00985-4 · Cited by 241
Targeted modulation of immune cells and tissues using engineered biomaterials
Yousefpour, P., Ni, K., & Irvine, D. J. (2023) · Nature Reviews Bioengineering · doi:10.1038/s44222-022-00016-2 · Cited by 170
Zhao, Y., Wang, D., Qian, T., Zhang, J., Li, Z., Gong, Q., Ren, X., & Zhao, Y. (2023) · ACS Nano · doi:10.1021/acsnano.3c03761 · Cited by 171
GZMK-expressing CD8+ T cells promote recurrent airway inflammatory diseases
Lan, F., Li, J., Miao, W., Sun, F., Duan, S., Song, Y., Yao, J., Wang, X., Wang, C., Liu, X., et al. (2025) · Nature · doi:10.1038/s41586-024-08395-9 · Cited by 131
Metadata
- Authors
- Gearty, S. V., Dündar, F., Zumbo, P., Espinosa-Carrasco, G., Shakiba, M., Sanchez-Rivera, F. J., Socci, N. D., Trivedi, P., Lowe, S. W., Lauer, P., Mohibullah, N., Viale, A., DiLorenzo, T. P., Betel, D., & Schietinger, A.
- Affiliations
- Memorial Sloan Kettering Cancer Center (US)
- Weill Cornell Medicine (US)
- Aduro BioTech (United States) (US)
- Albert Einstein College of Medicine (US)
- Corresponding author
- Betel, Doron
- Schietinger, Andrea
- ORCID
- Venue
- Nature
- Published
- 2021-11-30
- Volume
- 602
- Issue
- 7895
- Pages
- 156-161
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC9315050
- OpenAlex
- W3216791550
- Cited by
- 257
- References
- 56
- Citations by year
- 2026: 52 · 2025: 74 · 2024: 61 · 2023: 45 · 2022: 25
- FWCI
- 18.48
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Cancer Institute (T32CA160001, DP2CA225212, P30CA008748)
- National Institute of General Medical Sciences (T32GM007739)
- National Institute of Allergy and Infectious Diseases (R01AI123730)
- National Institute of Diabetes and Digestive and Kidney Diseases (P01DK052956, F30DK122691, P30DK020541)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Keywords
- type 1 diabetes, CD8+ T cells, beta cell destruction, self-renewal, NOD mice, immunotherapy, autoimmunity
- MeSH terms
- Cell Self Renewal, Animals, Clone Cells, Diabetes Mellitus, Type 1, Disease Models, Animal, Female, Glucose-6-Phosphatase, Lymph Nodes, Male, Receptors, Antigen, T-Cell, Stem Cells, CD8-Positive T-Lymphocytes, Stem Cell Transplantation, Insulin-Secreting Cells, Mice, Hepatocyte Nuclear Factor 1-alpha, Single-Cell Analysis, Transcriptome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-29, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-29 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
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