Cited by 594Genetics, Aging, and Longevity in Model OrganismsTelomeres, Telomerase, and SenescenceFrailty in Older Adults

An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging

Open access
Sayed, Nazish, Huang, Yingxiang, Nguyen, Khiem, Krejciova-Rajaniemi, Zuzana, Grawe, Anissa P., Gao, Tianxiang, Tibshirani, Robert, Hastie, Trevor +18 more·2021·Nature Aging

Abstract

While many diseases of aging have been linked to the immunological system, immune metrics capable of identifying the most at-risk individuals are lacking. From the blood immunome of 1,001 individuals aged 8–96 years, we developed a deep-learning method based on patterns of systemic age-related inflammation. The resulting inflammatory clock of aging (iAge) tracked with multimorbidity, immunosenescence, frailty and cardiovascular aging, and is also associated with exceptional longevity in centenarians. The strongest contributor to iAge was the chemokine CXCL9, which was involved in cardiac aging, adverse cardiac remodeling and poor vascular function. Furthermore, aging endothelial cells in human and mice show loss of function, cellular senescence and hallmark phenotypes of arterial stiffness, all of which are reversed by silencing CXCL9. In conclusion, we identify a key role of CXCL9 in age-related chronic inflammation and derive a metric for multimorbidity that can be utilized for the early detection of age-related clinical phenotypes. From the blood immunome of 1,001 individuals aged 8–96 years, the authors used deep learning to develop an inflammatory clock of aging (iAge) that tracks with multimorbidity, immunosenescence, frailty and cardiovascular aging, and is also associated with exceptional longevity in centenarians. The main contributor to iAge is the chemokine CXCL9, which is shown to control endothelial cell senescence and function.

AI snapshot

Written from the paper’s full text.

TL;DR

Using blood immune protein data from 1,001 people aged 8–96, the authors built a deep-learning inflammatory aging clock (iAge) that predicts chronological age and tracks multimorbidity, frailty, immunosenescence, and cardiovascular aging. CXCL9 emerged as the strongest positive contributor, and silencing it reversed endothelial dysfunction and senescence phenotypes in human and mouse models.

Key findings

  • iAge correlated with chronological age at R = 0.78 (P < 10−16); the guided auto-encoder outperformed linear methods (P < 0.05) except a classic neural network (P = 0.54), with average test reconstruction errors of 15.2 years for age and 0.26 normalized for protein data.
  • iAge was associated with multimorbidity in adults over 60 (n = 285, P < 0.01); Elastic Net prediction of multimorbidity had MAE = 0.41, with iAge, high cholesterol, and BMI among the largest coefficients. In 29 older adults, iAge in 2010 predicted 2017 frailty score (R² = 0.81, P < 0.001), stronger than calendar age. Among 19 centenarians and 18 controls, 13/19 centenarians were in the low iAge-index group (P = 0.028), and the iAge gene signature was associated with all-cause mortality in Framingham (P = 0.02, n = 2,290).
  • iAge correlated with immunosenescence markers: naive CD8+ T-cell frequency and phospho-STAT responses across 818 individuals and 96 conditions (combined P < 10−5).
  • CXCL9 was the top positive iAge contributor and rose with age (P < 10−15, starting around age 60). In 97 healthy adults aged 25–90, CXCL9 correlated with pulse wave velocity (R = 0.22) and relative wall thickness (R = 0.3) at P < 0.01, while LIF correlated negatively (R = −0.27 and −0.22). CXCL9 knockdown (~75% reduction) rescued tube formation, nitric oxide production, and Ac-LDL uptake in late-passage iPSC-ECs; RNA-seq showed ~fourfold CXCL9 increase at passage 8, inflammatory pathway upregulation, proliferation pathway downregulation, and reversal of arterial-stiffness-related CAM/MMP/COL gene changes.

Methods

  • The Stanford 1000 Immunomes Project enrolled 1,001 ambulatory participants (339 males, 662 females) aged 8–96 between 2007 and 2016; serum cytokines were measured in 1,001, CMV status in 748, gene expression in 397, cellular phenotypes in 935, in vitro cytokine stimulations in 818, and a 53-item clinical questionnaire in 902. Only healthy controls from the chronic fatigue syndrome study were used.
  • iAge was derived with a guided auto-encoder (GAE), a two-layer neural network balancing reconstruction and chronological-age prediction losses; fivefold cross-validation with nested threefold hyperparameter selection chose code length 5, depth 2, guidance ratio 0.2, and L2 = 0.001. Comparisons included Elastic Net, gradient boosting, PCA, plain auto-encoders, and neural networks.
  • Validation used 37 Italian centenarians/controls, a Framingham Heart Study gene-expression signature with Cox regression (n = 2,290), a 97-person cardiovascular cohort, human iPSC-derived endothelial cells, mouse aortic rings, RNA-seq, flow/CyTOF immunophenotyping, Luminex/SOMAscan assays, and isometric myography.

Limitations

  • The paper states that biological clocks generally do not directly reveal mechanism, so individual biomarkers require experimental testing; it also notes that the cytokine stimulation assay may not fully mirror in vivo stimuli and activates naive T cells and some helper T-cell subsets poorly. The authors also note that the iAge–chronological-age correlation (R = 0.78) is lower than a reported proteomic age metric (R = 0.92).
  • The paper states that no statistical method predetermined sample size, no data were excluded, and no randomization or blinding was used; mouse experiments were not blinded. The iAge model used cross-sectional baseline data even though some participants had longitudinal samples.
  • Evident from the text: several validation cohorts were modest in size (37 centenarian/control participants; 97 cardiovascular participants), and the Framingham analysis relied on a derived gene signature because sufficient proteomics data were unavailable, which may limit direct comparability and generalizability.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1038/s43587-021-00082-y

Cites

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Statistics

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Claims the paper makes

0 of 66 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    The chronic inflammation metric accurately predicts chronological age in the population using total inflammatory burden measured by circulating immune protein levels.

    “This metric for chronic inflammation accurately predicts cAge in the population (Fig. 1a) using the total inflammatory burden as measured by the level of circulating immune proteins (Extended Data Fig. 4).”
    Quote in the paperSubstantial claim
  • Findingown data

    The largest coefficients for predicting multimorbidity included iAge, high cholesterol and BMI.

    “The top features with the largest coefficients included iAge, high cholesterol and BMI (Extended Data Fig. 5c).”
    Quote in the paperNot a substantial claim
  • Findingown data

    In older adults over 60 years old, iAge was significantly correlated with multimorbidity.

    “We observed a significant correlation between iAge and multimorbidity in the older adults in this study (>60 years old) (n = 285, P < 0.01) (Fig. 1b).”
    Quote in the paperSubstantial claim
  • Findingown data

    In 29 older adults, iAge measured in 2010 predicted frailty score in 2017 after adjustment for chronological age, sex, BMI and CMV status.

    “Using a linear regression model where frailty score in 2017 was regressed onto iAge calculated in 2010 and controlled for cAge, sex, BMI and CMV status, we found that iAge from 2010 was predictive of frailty score in 2017 (R2 = 0.81, P < 0.001; Fig. 1c).”
    Quote in the paperSubstantial claim
  • Findingown data

    The iAge gene expression signature was significantly associated with all-cause mortality in the Framingham Heart Study after adjustment for multiple mortality-related covariates.

    “We observed that the iAge gene signature was significantly associated with all-cause mortality following adjustment to multiple covariates associated with mortality, including age, sex, smoking, cholesterol levels, blood pressure, diabetes and existence of a cardiovascular disease (P = 0.02, Cox proportional hazards model, n = 2,290).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [36] Mahmood, S. S., Levy, D., Vasan, R. S. & Wang, T. J. The Framingham Heart Study and the epidemiology of cardiovascular disease: a historical perspective. Lancet 383, 999–1008 (2014). source

      Not checked in the free run.

    • Rests on an assumption: The iAge gene expression signature derived from the Stanford cohort can serve as a proxy for iAge in the Framingham Heart Study cohort.
  • May combine two claims. 50
  • Classified as probably not a substantial claim. 59
  • The quote only partly states this claim. 1
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    Findingown data

    On the test set, the average reconstruction error was 15.2 years for age prediction and 0.26 normalized for circulating immune protein data.

    “The average reconstruction errors on the test set for prediction of age and circulating immune protein data were 15.2 years and 0.26 (normalized), respectively.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The GAE method outperformed other dimensionality-reduction methods in predicting chronological age, except that it did not differ significantly from the classic neural network.

    “Overall, the GAE method utilized (a two-layer fully connected neural network with five nodes in each layer) outperformed other methods in predicting chronological age (cAge) (P < 0.05) with the exception of the classic neural network (P = 0.54) (Extended Data Fig. 3b).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Several immune parameters predicted multimorbidity: total CD8+ T cells, plasmablasts and transitional B cells were negative predictors, while effector CD8+ T cells, total lymphocytes, monocytes and central memory T cells were positive predictors.

    “In addition, immune parameters such as total CD8+ T cells, plasmablasts, transitional B cells such as IgD+CD27− and IgD−CD27− B cells (negative predictors), effector CD8+ T cells, total lymphocytes, monocytes and central memory T cells (positive predictors) were predictive of multimorbidity (Extended Data Fig. 5d).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    CXCL9 knockdown completely reversed the early cellular senescence phenotype, with upregulation of proliferative pathways and downregulation of inflammatory pathways compared with Scramble hiPSC-ECs.

    “CXCL9-KD showed a complete reversal of this early cellular senescence phenotype with upregulation of proliferative pathways and downregulation of inflammatory pathways when compared to Scramble hiPSC-ECs (Fig. 5c–e).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Among controls, 77% were in the high iAge index rank group and 23% were in the low rank group.

    “In contrast, there were 77% (14 out of 18) of controls in the high rank versus 23% in the low rank group (Fig. 1e)”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    IL-11Rα, CXCL10 and HGF increased with age, while CXCL1 and LIF decreased.

    “In addition, IL-11Rα, CXCL10 and hepatocyte growth factor (HGF) increased with age, whereas CXCL1 and LIF decreased (Extended Data Fig. 7).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Among centenarians, 68% were in the low iAge index rank group and 31% were in the high rank group.

    “Sixty-eight percent (13 out of 19) centenarians were in the low rank group (P = 0.028), whereas only 31% (6 out of 19) were in the high rank group.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Age was the strongest contributor to changes in naive CD8+ T cells, followed by iAge and CMV as negative contributors, and sex.

    “Not surprisingly, age was the strongest contributor to changes in naive CD8+ T cells followed by iAge, CMV (negative contributors) and sex (frequency of total CD8+ T cells in females was 24% versus 30% in males; Fig. 2a).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Blood endothelial progenitor cells from older individuals showed reduced tube formation, reduced nitric oxide production and reduced acetylated LDL uptake.

    “Comparing ECs from older and younger individuals, we found that BECs from older patients showed reduced capacity to form networks of tubular structures (Extended Data Fig. 8b and Fig. 4b), reduced capacity to produce NO (Fig. 4c) and a reduced capacity to incorporate Ac-LDL (Fig. 4d).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    CXCL9 transcript levels increased in a time-dependent manner up to about fourfold at passage 8 compared with day 0 cultures, and CXCL9 expression was substantially reduced in CXCL9-knockdown hiPSC-ECs.

    “We observed a time-dependent increase in CXCL9 transcript levels up to ~fourfold at passage 8 compared to cells obtained from cultures at day 0 and a substantial reduction of CXCL9 expression in CXCL9-KD hiPSC-ECs (Fig. 5a).”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Total CD8+ T-cell frequency was 24% in females and 30% in males.

    “frequency of total CD8+ T cells in females was 24% versus 30% in males”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    By passage 4, endothelial cells lost their capacity to form tubes, and this was partially restored when CXCL9 was knocked down.

    “As early as passage 4, ECs lose their capacity to form tubes, which can be partially restored when CXCL9 is knocked down (Fig. 4e and Extended Data Fig. 10).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Increasing iAge was associated with a general decrease in B-cell and T-cell responses to stimuli and an overall potentiation of monocyte response.

    “Notably, there was a general decrease of B-cell and T-cell responses to stimuli and an overall potentiation of monocyte response associated with increasing iAge (combined P < 10−5; Fig. 2b).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    FGSEA in aged cells showed upregulation of hallmark inflammatory pathways and downregulation of hallmark cell proliferation pathways.

    “Fast gene set enrichment analysis (FGSEA) in aged cells revealed upregulation of genes in hallmark inflammatory pathways and downregulation of genes in hallmark cell proliferation pathways (Fig. 5b).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Late-passaged iPSC-ECs failed to produce nitric oxide in response to acetylcholine or to take up acetylated LDL compared with early passages.

    “Late-passaged iPSC-ECs failed to produce NO in response to acetylcholine or uptake Ac-LDL respectively, when compared to early passages of iPSC-ECs (Fig. 4f,g).”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    The best hyperparameter setting for GAE with code length 5 was depth 2, guidance ratio 0.2, and L2 0.001.

    “we used fivefold cross validation to select the best hyper-parameter setting (depth = 2, guidance ratio = 0.2, L2 = 0.001) on all GAEs with a code length of 5.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    iAge predicts multimorbidity and mortality.

    “we demonstrate that iAge predicts multimorbidity and mortality”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    CXCL9 is mainly produced by aged endothelium and predicts subclinical cardiovascular aging in nominally healthy individuals.

    “we find that CXCL9 is mainly produced by aged endothelium and predicts subclinical levels of cardiovascular aging in nominally healthy individuals.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: CXCL9 attracts T cells, is induced by IFN-γ, and is primarily secreted by neutrophils, macrophages, and endothelial cells.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    The best code length for the GAE was 5.

    “After obtaining the best code length as 5 (Extended Data Fig. 3a)”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingnone given

    iAge is directly associated with multiple disease phenotypes, including cardiovascular aging, frailty, immune decline, and exceptional longevity.

    “iAge is directly associated with multiple disease phenotypes, including cardiovascular aging, frailty, immune decline and exceptional longevity.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    GAE outperformed Elastic Net, PCA, and plain auto-encoder.

    “In our case, this method outperformed other commonly used linear modeling methods such as Elastic Net and PCA and also other nonlinear approaches such as plain auto-encoder89 (Extended Data Fig. 3b).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    iAge is associated with multiple diseases and immunosenescence.

    “we find that iAge tracks with multiple diseases and immunosenescence.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    The best hyper-parameter setting for GAE with code length 5 was depth = 2, guidance-ratio = 0.2, and L2 = 0.001, selected using 5-fold cross-validation.

    “After obtaining the best code length as 5, we used the 5-fold-cross-validation to select the best hyper-parameter setting (depth = 2, guidance-ratio = 0.2, L2 = 0.001) on all GAE with code length 5.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    CXCR3 was not expressed in iPSC-induced cardiomyocytes, fibroblasts, or iPSC.

    “CXCR3 was not expressed in iPSC induced cardiomyocytes (iPSC-CM), Fibroblast, or iPSC.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    CXCL9-knockdown hiPSC-ECs retained their capacity to form tubes even at later passages, whereas scramble hiPSC-ECs showed impaired tube formation at later passages.

    “Representative images of capillary-like networks from scramble- and CXCL9-KD hiPSC-ECs show that CXCL9-KD hiPSC-ECs retain their capacity to form tubes even at later passages when compared to scramble that showed impaired tube formation towards later passages of hiPSC-ECs.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The GAE method performed better than linear methods for reconstructing protein data and predicting chronological age.

    “The GAE method outperforms linear methods for protein data reconstruction and prediction of chronological age (b).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    There was a significant correlation between age and CXCL9 in univariate regression analysis.

    “Significant correlation between age and CXCL9 using univariate regression analysis.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Findingown data

    The Stanford 1000 Immunomes Project consists of 1001 ambulatory subjects aged 8 to 96 (34% male, 66% female) recruited between 2007 and 2016 for a longitudinal aging and vaccination study, and for an independent chronic fatigue syndrome study from which only healthy controls were included.

    “The Stanford 1000 Immunomes Project consist of 1001 ambulatory subjects age 8 to 96 (34% males, 66% females) recruited during the years 2007 to 2016 for a longitudinal study of aging and vaccination, and for an independent study of chronic fatigue syndrome from which only healthy controls were included.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In the authors' experiment, the optimal code length for the GAE was 5, because a sixth code gave no significant improvement in total loss (p = 0.18).

    “In our experiment, the best code length is 5 (a) as adding one more code (6) does not significantly improve the total loss (p = 0.18).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    The predictive performance of gradient boosting decision tree (GBDT) was similar to that of PCA.

    “In (c), we found that the predictive performance of gradient boosting decision tree (GBDT) has similar performance as PCA.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Eighteen features were selected, including the inflammatory clock, high cholesterol, BMI, and immune parameters such as total CD8+ T cells, plasmablasts, and transitional B cells as negative predictors, and IgD+CD27- and IgD-CD27- B cells, effector CD8+ T cells, total lymphocytes, monocytes, and central memory T cells as positive predictors.

    “Eighteen features are selected including inflammatory clock, high cholesterol and BMI (c) and immune parameters such as total CD8 (+) T cells, plasmablasts and transitional B cells (negative predictors) and IgD+CD27- and IgD-CD27-B cells, effector CD8 (+) T cells, total lymphocytes and monocytes, and central memory T cells (positive predictors) (d)”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Normalization and batch correction removed batch effect, as shown by a lower mean absolute Spearman correlation between all features and batch ID, indicating that sample source could not be distinguished from corrected data.

    “Data normalization and batch correction removes batch effect as indicated by lower mean absolute Spearman correlation between all features and batch id (blue line), which indicates impossibility to distinguish sample source from corrected data.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    CXCR3 was highly expressed in iPSC-induced endothelial cells and Human Umbilical Vein Endothelial Cells (HUVEC).

    “However, it is highly expressed in iPSC induced endothelial cells and Human Umbilical Vein Endothelial Cells (HUVEC).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingreasoning

    Because LASSO regression is stochastic, each implementation produced a slightly different list of genes predictive of iAge.

    “Due to the stochastic nature of LASSO regression, each implementation produced a slightly different list of genes that were predictive of iAge.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.

    Premisecitation

    Multimorbidity is the top priority for global health research and is a gold standard in aging research because it reflects accumulated physiological damage.

    “Multimorbidity is the number one priority for global health research and has become the gold standard in aging research as it represents the accumulation of physiological damage in an individual33.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [33] Barnett, K. et al. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet 380, 37–43 (2012). source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    There are no standard biomarkers for chronic inflammatory state, and studies have generally produced conflicting results.

    “Despite the importance of this type of inflammatory reaction, there are currently no standard biomarkers to characterize a chronic inflammatory state and studies have generally yielded conflicting results18,19.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [18] Franceschi, C., Garagnani, P., Vitale, G., Capri, M. & Salvioli, S. Inflammaging and garb-aging. Trends Endocrinol. Metab. 28, 199–212 (2017). source

      Not checked in the free run.

    • cites [19] Morrisette-Thomas, V. et al. Inflamm-aging does not simply reflect increases in pro-inflammatory markers. Mechanisms Ageing Dev. 139, 49–57 (2014). source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Inflammatory components of the immune system are often chronically elevated in older people and are linked to higher incidence of cancer, cardiovascular disease, neurodegenerative disorders and other conditions.

    “inflammatory components of the immune system are often chronically elevated in aged individuals and associated with an increased incidence of cancer, cardiovascular disease, neurodegenerative disorders and others1–3”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [1] Kotas, M. E. & Medzhitov, R. Homeostasis, inflammation, and disease susceptibility. Cell 160, 816–827 (2015). source

      Not checked in the free run.

    • cites [2] Liu, F. et al. Mechanosignaling through YAP and TAZ drives fibroblast activation and fibrosis. Am. J. Physiol. Lung Cell Mol. Physiol. 308, L344–L357 (2015). source

      Not checked in the free run.

    • cites [3] Crusz, S. M. & Balkwill, F. R. Inflammation and cancer: advances and new agents. Nat. Rev. Clin. Oncol. 12, 584–596 (2015). source

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Study design and conductreasoning

    The multimorbidity analysis adjusted for age, BMI, sex, CMV and high cholesterol because each has a reported effect on age-related pathologies.

    “For these analyses, we controlled for age, body mass index (BMI), sex, CMV and high cholesterol (also a binary category), because of the reported effect of each of these variables in the etiology of age-related pathologies.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    Fivefold cross validation was used to measure predictive performance of each dimensionality-reduction method on the test set.

    “We employed fivefold cross validation and measured the predictive performances of each method on the test set.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The authors' earlier cellular composite metric for immune aging, IMM-AGE, was strongly associated with all-cause mortality.

    “Recent work from our group identified a cellular composite metric for immune aging (IMM-AGE), which was strongly associated with all-cause mortality16.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [16] Alpert, A. et al. A clinically meaningful metric of immune age derived from high-dimensional longitudinal monitoring. Nat. Med. 25, 487–495 (2019). source

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Study design and conductcitation

    Deep immune phenotyping for the Stanford 1KIP samples was performed at the Stanford HIMC using rigorously standardized procedures.

    “For all samples of the Stanford 1KIP, deep immune phenotyping was conducted at the Stanford HIMC, where peripheral blood specimens were processed and analyzed using rigorously standardized procedures31.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [31] Maecker, H. T. et al. New tools for classification and monitoring of autoimmune diseases. Nat. Rev. Rheumatol. 8, 317–328 (2012). source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Chronic systemic inflammation is associated with aging, is low-grade and persistent, and ultimately causes collateral damage to tissues and organs.

    “This type of inflammation is associated with aging and is characterized by being low-grade and persistent, ultimately leading to collateral damage to tissues and organs1,17.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [1] Kotas, M. E. & Medzhitov, R. Homeostasis, inflammation, and disease susceptibility. Cell 160, 816–827 (2015). source

      Not checked in the free run.

    • cites [17] Goldberg, E. L. & Dixit, V. D. Drivers of age-related inflammation and strategies for healthspan extension. Immunol. Rev. 265, 63–74 (2015). source

      Not checked in the free run.

  • May combine two claims.

    Interpretationown data

    Knockdown of CXCL9 rescues endothelial dysfunction by passage 8 but does not fully restore endothelial cell function to the level of healthy passage 0 cells.

    “This suggests that while knockdown of CXCL9 rescues endothelial dysfunction by passage 8, it cannot restore EC function completely to the level of healthy ECs at passage 0.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    CXCL9 has a profound effect in the cardiovascular system and indicates a new role in angiogenesis and endothelial cell function during cardiovascular aging.

    “Taken together these results demonstrate that CXCL9 has a profound effect in the cardiovascular system and indicates a new role for this chemokine in angiogenesis and EC function during cardiovascular aging.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    The validation cohort was selected from 151 recruited participants using strict selection criteria.

    “selected from a total of 151 recruited participants using strict selection criteria (Methods).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    C-reactive protein and IL-6 have been linked to immunosenescence in prior studies, but their relationship with systemic chronic inflammation had not been established.

    “Canonical acute inflammation proteins such as C-reactive protein and interleukin (IL)-6 have been associated with immunosenescence in previous studies37,38, but the relationship with systemic chronic inflammation (SCI) has not yet been established.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [37] Bertsch, T. et al. C-reactive protein and the acute phase reaction in geriatric patients. Z. Gerontologie Geriatr. 48, 595–600 (2015). source

      Not checked in the free run.

    • cites [38] Scheller, J., Chalaris, A., Schmidt-Arras, D. & Rose-John, S. The pro- and anti-inflammatory properties of the cytokine interleukin-6. Biochim. Biophys. Acta 1813, 878–888 (2011). source

      Not checked in the free run.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    High relative wall thickness indicates concentric cardiac remodeling, and elevated pulse wave velocity reflects organ damage and predicts future cardiovascular events and all-cause mortality better than conventional risk factors.

    “As high RWT indicates concentric cardiac remodeling and elevated PWV is reflective of organ damage and predicts future cardiovascular events and all-cause mortality better than conventional cardiovascular disease risk factors45–47”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [45] Vlachopoulos, C., Aznaouridis, K. & Stefanadis, C. Prediction of cardiovascular events and all-cause mortality with arterial stiffness: a systematic review and meta-analysis. J. Am. Coll. Cardiol. 55, 1318–1327 (2010). source

      Not checked in the free run.

    • cites [46] Ben-Shlomo, Y. et al. Aortic pulse wave velocity improves cardiovascular event prediction: an individual participant meta-analysis of prospective observational data from 17,635 subjects. J. Am. Coll. Cardiol. 63, 636–646 (2014). source

      Not checked in the free run.

    • cites [47] Chirinos, J. A. Large artery stiffness, microvascular function, and cardiovascular risk. Circ. Cardiovasc Imaging 9, e005903 (2016). source

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Study design and conductcitation

    The study used a well-established endothelial aging model by generating hiPSCs from five independent human donors and differentiating them into endothelial cells.

    “we used a well-established model for endothelial aging57,58 by generating human induced pluripotent stem cells (hiPSCs) from fibroblasts obtained from five independent human donors59 and subsequently differentiated them into endothelial cells (hiPSC-ECs)60.”
    Quote in the paperSubstantial claim0 of 4 sources checked
    • cites [57] Boisen, L., Drasbek, K. R., Pedersen, A. S. & Kristensen, P. Evaluation of endothelial cell culture as a model system of vascular ageing. Exp. Gerontol. 45, 779–787 (2010). source

      Not checked in the free run.

    • cites [58] Brandes, R. P., Fleming, I. & Busse, R. Endothelial aging. Cardiovascular Res. 66, 286–294 (2005). source

      Not checked in the free run.

    • cites [59] Takahashi, K. & Yamanaka, S. Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell 126, 663–676 (2006). source

      Not checked in the free run.

    • cites [60] Sayed, N. et al. Clinical trial in a dish using iPSCs shows lovastatin improves endothelial dysfunction and cellular cross-talk in LMNA cardiomyopathy. Sci. Transl. Med. 12, eaax9276 (2020). source

      Not checked in the free run.

  • May combine two claims.

    Interpretationown data

    iAge correlates with an established marker of immune senescence, naive CD8+ T-cell frequency, and with PBMC signaling responses in vitro.

    “These results demonstrate that iAge correlates with an established biomarker of immune senescence (naive CD8+ T-cell frequency) and with PBMC signaling responses in vitro.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    The phospho-STAT signaling analysis used multiple regression controlling for age, CMV and sex.

    “We conducted multiple regression analysis controlling age, CMV and sex (Methods).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationown data

    CXCL9 increases in endothelia and endothelial cell dysfunction are associated with aging in both humans and mice.

    “These results demonstrate a concomitant increase in CXCL9 in the endothelia and EC dysfunction associated with aging both in humans and mice.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The endothelium has a role in the etiology of hypertension and arterial stiffness.

    “Long-standing evidence has suggested a role for the endothelium in the etiology of hypertension and arterial stiffness48,49.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [48] Figueiredo, V. N. et al. Vascular stiffness and endothelial dysfunction: correlations at different levels of blood pressure. Blood Press. 21, 31–38 (2012). source

      Not checked in the free run.

    • cites [49] Vanhoutte, P. M., Feletou, M. & Taddei, S. Endothelium-dependent contractions in hypertension. Br. J. Pharmacol. 144, 449–458 (2005). source

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Study design and conductown data

    The cardiovascular analysis used multiple regression hierarchical analysis controlling for age, sex, BMI, heart rate, systolic blood pressure, fasting glucose and total cholesterol to HDL ratio.

    “We then performed multiple regression hierarchical analysis using the six selected inflammatory markers associated with aging in this cohort and cardiovascular measurements (PWV and RWT) controlling for age, sex, BMI, heart rate, systolic blood pressure, fasting glucose and total cholesterol to high-density lipoprotein (HDL) ratio.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Advanced signs of cardiovascular aging such as tissue remodeling and cardiac hypertrophy are often preceded and may be initiated by malfunctioning aged endothelia.

    “More recent work has also shown that advanced signs of cardiovascular aging such as tissue remodeling and cardiac hypertrophy are often preceded and may be initiated by the malfunctioning of aged endothelia50–52.”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites [50] Castellon, X. & Bogdanova, V. Chronic inflammatory diseases and endothelial dysfunction. Aging Dis. 7, 81–89 (2016). source

      Not checked in the free run.

    • cites [51] Harvey, A., Montezano, A. C. & Touyz, R. M. Vascular biology of ageing: implications in hypertension. J. Mol. Cell Cardiol. 83, 112–121 (2015). source

      Not checked in the free run.

    • cites [52] Kamo, T., Akazawa, H. & Komuro, I. Cardiac nonmyocytes in the hub of cardiac hypertrophy. Circ. Res. 117, 89–98 (2015). source

      Not checked in the free run.

  • May combine two claims.

    Interpretationown data

    There are at least two sources of CXCL9-mediated inflammation with aging: one age-intrinsic in aging endothelial cells and one age-independent in the validation cohort.

    “At least two sources of CXCL9-mediated inflammation can ensue with aging based on our findings; one that is age-intrinsic and observed in aging ECs and one that is independent of age (likely as a response to cumulative exposure to environmental insults) and found in the validation cohort of 97 apparently healthy adults.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    iPSC cardiomyocytes were differentiated to >85% purity and endothelial cells to >90% purity.

    “These iPSCs were differentiated into cardiomyocytes to purities of >85% and ECs to purities of >90%.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    The study was conducted in accordance with ethical regulations and approved by Stanford IRB, with written informed consent from all cohorts.

    “This study was conducted in accordance with current relevant ethical regulations on human participant research. Written informed consent was obtained from all the study cohorts used and the study protocol was approved by the Stanford University Administrative Panels on Human Subjects in Medical Research, Institutional Review Board.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    CXCL9 is associated with falls in the older population.

    “Notably, CXCL9 has also been shown to be associated with falls in the older population101,102”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [101] Amorim, J. S. C. et al. Inflammatory markers and occurrence of falls: Bambui cohort study of aging. Rev. Saude Publica 53, 35 (2019). source

      Not checked in the free run.

    • cites [102] Chiu, B. C. et al. Differential effects of ageing on cytokine and chemokine responses during type-1 (mycobacterial) and type-2 (schistosomal) pulmonary granulomatous inflammation in mice. Mech. Ageing Dev. 123, 313–326 (2002). source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S1 (asserted). May combine two claims.

    Interpretationreasoning

    CXCL9 acts in both paracrine and autocrine fashion, creating a positive feedback loop.

    “we hypothesize that this chemokine acts both in a paracrine fashion (when it is produced by macrophages to attract T cells to the site of injury) and in an autocrine fashion (when it is produced by the endothelium) creating a positive feedback loop.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: CXCL9 attracts T cells, is induced by IFN-γ, and is primarily secreted by neutrophils, macrophages, and endothelial cells.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationown data

    Endothelial cells may be one source of inflammation.

    “they also suggest that ECs may be one source of inflammation”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The stimuli strongly activate the memory compartment of bulk CD8+ and CD4+ T cells but act weakly on naive T cells.

    “while the stimuli we used strongly activate the memory compartment of bulk CD8+ and CD4+ T cells, these act relatively weakly on naive T cells.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductreasoning

    The stimuli used in the cytokine stimulation assay may not fully mirror physiological stimuli acting on specific immune cell subsets in vivo.

    “one limitation of the assay relates to the stimuli used here which may not completely mirror the physiological stimuli that act on specific immune cell subsets in vivo.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    All echocardiographic parameters were measured in triplicate and averaged.

    “All parameters were measured in triplicate and averaged.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationown data

    The lack of angiogenesis, impaired nitric oxide production and dysfunctional acetylated LDL uptake indirectly suggested a cellular senescence phenotype that could be rescued by knocking down CXCL9 during iPSC-EC passaging.

    “The lack of angiogenesis, impaired production of NO and dysfunctional uptake of Ac-LDL indirectly suggested a cellular senescence phenotype that could be rescued by knocking down CXCL9 as iPSC-EC is passaged.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    Echocardiographs were interpreted by one physician blinded to age and clinical/biological data.

    “All studies were interpreted by one physician (F.H.) who was blinded to age as well as clinical and biological data.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    CXCL9 increases with age in humans.

    “Some studies in humans have found CXCL9 to increase with age93–98”
    Quote in the paperNot a substantial claim0 of 6 sources checked
    • cites [93] Bonfante, H. L. et al. CCL2, CXCL8, CXCL9 and CXCL10 serum levels increase with age but are not altered by treatment with hydroxychloroquine in patients with osteoarthritis of the knees. Int J. Rheum. Dis. 20, 1958–1964 (2017). source

      Not checked in the free run.

    • cites [94] Roubenoff, R. et al. Monocyte cytokine production in an elderly population: effect of age and inflammation. J. Gerontol. A Biol. Sci. Med Sci. 53, M20–M26 (1998). source

      Not checked in the free run.

    • cites [95] Torres, K. C. L. et al. Immune senescence and biomarkers profile of Bambui aged population-based cohort. Exp. Gerontol. 103, 47–56 (2018). source

      Not checked in the free run.

    • cites [96] Shurin, G. V. et al. Dynamic alteration of soluble serum biomarkers in healthy aging. Cytokine 39, 123–129 (2007). source

      Not checked in the free run.

    • cites [97] Zheng, Y. et al. Age-related pro-inflammatory and pro-angiogenic changes in human aqueous humor. Int J. Ophthalmol. 11, 196–200 (2018).

      Not checked in the free run.

    • cites [98] Sandovici, I. et al. Ageing is associated with molecular signatures of inflammation and type 2 diabetes in rat pancreatic islets. Diabetologia 59, 502–511 (2016). source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    Inter-observer variability for PWV measurement had an intraclass correlation coefficient of 0.94.

    “Inter-observer variability was calculated on 50 samples in our laboratory and the intraclass correlation coefficient was 0.94 for PWV measured by two independent observers”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    All PCR reactions were performed in triplicate, normalized to GAPDH, and assessed using comparative Ct or ΔΔCt.

    “All PCR reactions were performed in triplicate, normalized to the GAPDH endogenous control gene and assessed using the comparative Ct method.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based). May combine two claims. The quote only partly states this claim.

    Interpretationreasoning

    One root cause of CXCL9 overproduction is cellular aging itself, which can trigger metabolic dysfunction with production of DAMPs.

    “We thus hypothesize that one root cause of CXCL9 overproduction is cellular aging per se, which can trigger metabolic dysfunction”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: CXCL9 attracts T cells, is induced by IFN-γ, and is primarily secreted by neutrophils, macrophages, and endothelial cells.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    Monotonic transformations of cAge or iAge do not affect ranks, so the findings are robust to transformations such as log and exp.

    “Any monotonic transformation of cAge or iAge does not affect ranks, hence findings are robust to transformations such as log and exp.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    iPSCs were derived from five healthy individuals and passed assessments for pluripotency and genomic stability.

    “We derived iPSCs from five healthy individuals and cell lines passed common assessments for pluripotency such as expression of pluripotent markers (Oct4 and Nanog) and genomic stability such as karyotyping.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Cytokine stimulation assays have proven utility for assessing overall immune competence.

    “Despite the proven utility of cytokine stimulation assays used in our study with respect to an individual’s overall immune competence5,24,25”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites [5] Furman, D. et al. Expression of specific inflammasome gene modules stratifies older individuals into two extreme clinical and immunological states. Nat. Med. 23, 174–184 (2017). source

      Not checked in the free run.

    • cites [24] Furman, D. et al. Apoptosis and other immune biomarkers predict influenza vaccine responsiveness. Mol. Syst. Biol. 9, 659 (2013). source

      Not checked in the free run.

    • cites [25] Furman, D. et al. Cytomegalovirus infection enhances the immune response to influenza. Sci. Transl. Med. 7, 281ra43 (2015). source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The proteomic age metric had a correlation of R = 0.92 with chronological age.

    “which is lower than that of the recently reported ‘proteomic age’ metric (R = 0.92)90.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [90] Tanaka, T. et al. Plasma proteomic signature of age in healthy humans. Aging Cell. 17, e12799 (2018). source

      Not checked in the free run.

  • May combine two claims.

    Interpretationown data

    CXCL9 has a central role in vascular dysfunction and likely contributes to arterial stiffness and premature aging in vivo.

    “These results demonstrate a central role for CXCL9 in vascular dysfunction, which likely contributes to arterial stiffness and premature aging in vivo.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    CXCL9 is a master regulator of vascular function and cellular senescence.

    “we demonstrate that CXCL9 is a master regulator of vascular function and cellular senescence”
    Quote in the paperSubstantial claim
    • Rests on an assumption: CXCL9 attracts T cells, is induced by IFN-γ, and is primarily secreted by neutrophils, macrophages, and endothelial cells.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Inflammatory markers are at least partly responsible for reduced JAK-STAT response to cytokine stimulations in various leukocyte populations.

    “inflammatory markers have been shown to be, at least in part, responsible for a reduced JAK–STAT response to cytokine stimulations in various leukocyte populations in our previous studies of aging28.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [28] Shen-Orr Shai, S. et al. Defective signaling in the JAK–STAT pathway tracks with chronic inflammation and cardiovascular risk in aging humans. Cell Syst. 3, 374–384 (2016). source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    High baseline inflammatory markers correlate with weaker responses to hepatitis B and herpes zoster vaccine formulations.

    “previous reports showing that high levels of baseline inflammatory markers correlate with weaker responses to hepatitis B and herpes zoster vaccine formulations15,91.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [15] Thevaranjan, N. et al. Age-associated microbial dysbiosis promotes intestinal permeability, systemic inflammation, and macrophage dysfunction. Cell Host Microbe 21, 455–466 (2017). source

      Not checked in the free run.

    • cites [91] Fourati, S. et al. Pre-vaccination inflammation and B-cell signalling predict age-related hyporesponse to hepatitis B vaccination. Nat. Commun. 7, 10369 (2016). source

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Interpretationreasoning

    Increasing doses of CXCL9 and expression of its receptor lead to cumulative deterioration of endothelial function in aging.

    “In this model, increasing doses of CXCL9 and expression of its receptor in these cells leads to cumulative deterioration of endothelial function in aging.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The experiment was repeated three times.

    “Experiment was repeated 3 times.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    The study did not use randomization or blinding.

    “No randomization or blinding was conducted for this study.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    PRIN06 and PRIN09 samples were measured in two batches and the datasets were bridged using SomaLogic calibrators.

    “PRIN06 and PRIN09 samples were measured in two batches. Datasets were bridged to each other using SomaLogic calibrators.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    Five-fold cross-validation was used to identify the best code length among lengths from 1 to 10.

    “We used 5-fold cross-validation to identify the best code length, among lengths from 1 to 10.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Within each fold, nested 3-fold cross-validation was performed to select hyper-parameters (depth, weight decay, and guidance-ratio).

    “Within each fold we performed nested 3-fold cross-validation to select hyper-parameters (depth, weight decay and guidance-ratio).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    No statistical method was used to predetermine sample size for the experiments.

    “For our experiments, no statistical method was used to predetermine sample size.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    For the cardiovascular study, one physician interpreted the data while blinded to age, clinical and biological data.

    “For the cardiovascular study the data were interpreted by one physician (F.H.) who was blinded to age as well as clinical and biological data.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    In a validation study, 97 healthy adults aged 25-90, well matched for cardiovascular risk factors, were selected from 151 recruited subjects.

    “In a validation study, 97 healthy adults (aged 25–90) well matched for cardiovascular risk factors, were selected from a total of 151 recruited subjects.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductnone given

    Differential penalty values were applied to each regressor, forcing the age variable in while imposing a stringent lasso penalty on all other features, so that selected variables would not correlate with age.

    “By applying differential penalty values for each regressor, age variable is ‘forced in’, while imposing a stringent penalty (the lasso penalty) to all other features, so that selected variables do not correlate with age.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    Covariates including age, BMI, CMV detection and sex were controlled by inclusion in all regression analyses.

    “Covariates such as age, BMI, detection of CMV and sex were controlled by their inclusion in all regression analysis.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    In the SOMAscan assay, no samples or probe data were excluded.

    “Data in relative fluorescent units for 1,305 SOMAmer probes were obtained for these samples and no samples or probe data were excluded.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    Serum immune protein data were normalized and batch-corrected so that data from different sources could be combined and used together.

    “Immune protein data from serum samples were subjected to normalization and batch correction procedures (See Methods) to ensure data from different sources can be combined and used as a whole.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    Age-adjusted cross-validation was performed on available data from all 902 subjects to select predictors of comorbidity without bias while controlling for age.

    “To select for predictors of comorbidity without bias, based on available data for all 902 subjects while controlling for the age effect, age-adjusted cross-validation was performed (a).”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Blinding was not performed in the mouse experiments.

    “Blinding was not performed in mice experiments.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Auto-encoders use a nonlinear transformation of data and can model complex processes.

    “Auto-encoders use a nonlinear transformation of data and hence, can model complex processes119.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [119] Behzadi-Khormouji, H. et al. Deep learning, reusable and problem-based architectures for detection of consolidation on chest X-ray images. Comput. Methods Prog. Biomed. 185, 105162 (2020). source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The analyses did not exclude any data.

    “No data were excluded from the analyses.”
    Quote in the paperNot a substantial claim
94 of 94
  • The paper relies on this without support.

    The iAge gene expression signature derived from the Stanford cohort can serve as a proxy for iAge in the Framingham Heart Study cohort.

    “As there were no sufficient proteomics data to directly estimate iAge in the cohort, we derived a gene expression signature of iAge using available data from 397 participants in our study and performed an enrichment analysis of the derived gene signature on each sample in the Framingham Heart Study (Methods).”
  • The paper relies on this without support.

    CXCL9 attracts T cells, is induced by IFN-γ, and is primarily secreted by neutrophils, macrophages, and endothelial cells.

    “CXCL9 is a T-cell chemoattractant induced by IFN-γ and is mostly produced by neutrophils, macrophages and ECs.”
  • The paper relies on this without support.

    The Stanford 1KIP cohort reflects the general population for aging phenotypes.

    “This metric tracked with multiple aging phenotypes in the general population”
  • The paper relies on this without support.

    Chronological age serves as a valid benchmark for biological aging.

    “The correlation between chronological age and iAge was 0.78”
  • The paper relies on this without support.

    Auto-encoders can produce different results with different initialization (the re-parameterization problem).

    “One problem with auto-encoders is re-parameterization. With different initialization, it could have different results.”
5 of 5

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?

  • Many immune cells from an inflammageing environment are hyporesponsive to acute ex vivo stimuli, while monocytes appear hyperresponsive.

    “many immune cells (including B cells, T cells, and DCs) isolated from an inflammageing environment have been shown to be hyporesponsive to acute ex vivo stimuli, although monocytes appear to standout as being hyperresponsive81.”

    From SARS-CoV-2, COVID-19 and the aging immune system (2021) · cites this paper as [81]

  • Basal inflammageing is driven by NF-κB signaling and generally renders immune cells initially hyporesponsive to acute activation, with the possible exception of monocyte subsets.

    “Basal inflammageing is driven by NF-κB signaling and generally renders immune cells initially hyporesponsive to acute activation, with the possible exception of the monocyte subsets71,81.”

    From SARS-CoV-2, COVID-19 and the aging immune system (2021) · cites this paper as [81]

  • A recent set of publications profiled immune cell and inflammatory markers to develop an immune ageing clock that predicted mortality, cardiovascular outcomes and immunosenescence.

    “A recent set of publications did this by profiling immune cell and inflammatory markers to develop an immune ageing clock that predicted mortality, cardiovascular outcomes and immunosenescence171,172.”

    From Measuring biological age using omics data (2022) · cites this paper as [171]

  • The authors used information from the clock to identify CXCL9 as a potential causal regulator of immune ageing and validated this result through functional follow-up in cellular models.

    “The authors used information from the clock to identify CXCL9 as a potential causal regulator of immune ageing and validated this result through functional follow-up in cellular models, which further supports the ability of these hybrid approaches to discover causal regulators of ageing.”

    From Measuring biological age using omics data (2022) · cites this paper as [171]

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.

  • Reported test significance conflicts with a no-difference claim

    Minor

    The methods say the two models' prediction accuracies were not different, yet give P < 0.01 for the likelihood-ratio test cited for that comparison.

  • B-cell subsets have opposite predictor signs

    Minor

    The results describe the IgD+CD27− and IgD−CD27− B-cell subsets as negative predictors of multimorbidity, whereas the extended-data caption lists those subsets as positive predictors.

2 of 2

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Sayed, N., Huang, Y., Nguyen, K., Krejciova-Rajaniemi, Z., Grawe, A. P., Gao, T., Tibshirani, R., Hastie, T., Alpert, A., Cui, L., Kuznetsova, T., Rosenberg-Hasson, Y., Ostan, R., Monti, D., Lehallier, B., Shen-Orr, S. S., Maecker, H. T., Dekker, C. L., Wyss-Coray, T., Franceschi, C., Jojic, V., Haddad, F., Montoya, J. G., Wu, J. C., Davis, M. M., & Furman, D.
Affiliations
  • Stanford Medicine (US)
  • Buck Institute for Research on Aging (US)
  • University of North Carolina at Chapel Hill (US)
  • Technion – Israel Institute of Technology (IL)
  • KU Leuven (BE)
  • University of Bologna (IT)
  • University of Florence (IT)
  • N. I. Lobachevsky State University of Nizhny Novgorod (RU)
  • Howard Hughes Medical Institute (US)
Corresponding author
Furman, David
Venue
Nature Aging
Published
2021-07-12
Volume
1
Issue
7
Pages
598-615
ISSN
2662-8465 (ISSN-L)
OpenAlex
W3182997864
Cited by
572
References
124
Citations by year
2026: 118 · 2025: 117 · 2024: 159 · 2023: 86 · 2022: 71 · 2021: 21
FWCI
31.11
Type
journal article
Language
en
Open access
Locations
  • Nature Aging (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Lirias (KU Leuven) (submittedVersion, other-oa)
  • Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
  • Florence Research (University of Florence) (submittedVersion)
  • UNC Libraries
Funders
  • Glenn Foundation for Medical Research
  • European Commission
  • Ministry of Education and Science of the Russian Federation
  • National Institutes of Health (UL1TR003142)
  • National Institute on Aging (P50AG047366, P30AG059307, P30AG066515)
  • National Heart, Lung, and Blood Institute (K01HL135455)
  • National Institute of Allergy and Infectious Diseases (U19AI090019, U19AI057229)
  • National Institute of Diabetes and Digestive and Kidney Diseases (P30DK116074)
  • National Center for Research Resources (UL1RR025744)
  • National Center for Advancing Translational Sciences
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
  • Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
  • Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
Keywords
age-related inflammation, multimorbidity, immunosenescence, frailty, cardiovascular aging, centenarians, longevity, CXCL9, chemokines, endothelial cell senescence, arterial stiffness, cardiac remodeling, vascular function, deep learning
MeSH terms
Immunosenescence, Frailty, Multimorbidity, Deep Learning, Aged, 80 and over, Aging, Animals, Humans, Inflammation, Endothelial Cells, Mice

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.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.

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