Cited by 8Regulation of Appetite and ObesityAdipokines, Inflammation, and Metabolic DiseasesAlzheimer's disease research and treatments

Deletion of the Alzheimer’s disease risk gene Abi3 locus results in obesity and systemic metabolic disruption in mice

Open access
Smith, Daniel C., Karahan, Hande, Wijeratne, H. R. Sagara, Al-Amin, Mamun, McCord, Brianne, Moon, Younghye, Kim, Jungsu·2022·Frontiers in Aging Neuroscience

Abstract

Alzheimer’s disease (AD) genetics studies have identified a coding variant within ABI3 gene that increases the risk of developing AD. Recently, we demonstrated that deletion of the Abi3 gene locus dramatically exacerbates AD neuropathology in a transgenic mouse model of amyloidosis. In the course of this AD project, we unexpectedly found that deletion of the Abi3 gene locus resulted in a dramatic obese phenotype in non-transgenic mice. Here, we report our investigation into this serendipitous metabolic finding. Specifically, we demonstrate that mice with deletion of the Abi3 gene locus (Abi3–/–) have dramatically increased body weight and body fat. Further, we determined that Abi3–/– mice have impaired energy expenditure. Additionally, we found that deletion of the Abi3 gene locus altered gene expression within the hypothalamus, particularly within immune-related pathways. Subsequent immunohistological analysis of the central nervous system (CNS) revealed that microglia number and area were decreased specifically within the mediobasal hypothalamus of Abi3–/– mice. Altogether, this investigation establishes the functional importance of the Abi3 gene locus in the regulation of systemic metabolism and maintenance of healthy body weight. While our previous findings indicated the importance of Abi3 in neurodegeneration, this study indicates that Abi3 related functions are also essential for metabolic regulation.

AI snapshot

Written from the paper’s full text.

TL;DR

Deletion of the Alzheimer’s disease risk gene locus Abi3 in non-transgenic mice produced an obese phenotype with increased body weight and fat mass, impaired glucose and insulin tolerance, and reduced light-cycle energy expenditure. The study also found weight-independent hypothalamic transcriptomic changes and decreased microglia number/area specifically in the mediobasal hypothalamus.

Key findings

  • Abi3–/– mice weighed on average 10.70 g (32.4%) more than Abi3+/+ mice and had 7.11 g (208.4%) more fat mass; lean mass was not significantly altered.
  • Abi3–/– mice showed impaired glucose tolerance and insulin sensitivity, with significantly elevated blood glucose during GTT at 60, 90, and 120 min and during ITT at 30, 45, and 60 min; plasma total cholesterol and leptin were also significantly elevated.
  • Food intake and movement did not differ, but Abi3–/– mice had a significantly lower slope for energy expenditure vs. weight during the light cycle, indicating impaired energy expenditure.
  • Hypothalamic RNA-seq identified 31 weight-covariate-controlled differentially expressed genes in Abi3–/– vs. Abi3+/+ mice, but no DEGs in brown adipose tissue; microglia number and area were decreased specifically in the mediobasal hypothalamus, not cortex, hippocampus, or whole hypothalamus.

Methods

  • Non-transgenic male littermates from a 5XFAD × Abi3–/– cross were used at 15 months of age, with ad libitum food and water; body weight/composition, GTT, ITT, metabolic cage calorimetry, cholesterol assay, and leptin ELISA were performed.
  • Bulk RNA-seq was performed on hypothalamus and brown adipose tissue from Abi3+/+ (n = 4) and Abi3–/– (n = 4) mice, with DESeq2 differential expression analysis using body weight as a covariate; DEGs were defined by Benjamini-Hochberg adjusted p ≤ 0.05.
  • Iba1 immunofluorescence was quantified in coronal brain sections from Abi3+/+ (n = 5) and Abi3–/– (n = 5) mice across cortex, hippocampus, whole hypothalamus, and mediobasal hypothalamus; unpaired t-tests, two-way ANOVA with Tukey’s post-hoc, and simple linear regression were used.

Limitations

  • The paper states that the obese phenotype was discovered unexpectedly in already aged 15-month-old mice, so it may be age dependent; only male mice were available because females were used for another project, leaving sex differences untested.
  • The paper states that findings were observed in mice already obese, so additional mechanisms may drive the phenotype, and peripheral dysfunction could partly underlie it; future microglial-specific inducible Abi3 knockout is suggested to address this.
  • Evident from the text: RNA-seq and immunofluorescence used small samples (n = 4 and n = 5 per genotype), and the study is largely correlational, without longitudinal or causal experiments to establish whether microglial changes directly cause the metabolic phenotype.

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

Integrity signals

Registry

Crossref · 10.3389/fnagi.2022.1035572

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

32 of 44 cited sources checked · 18 supported · 0 flagged · accuracy not yet measured

  • Premisecitation

    Elevated leptin and cholesterol levels are characteristic of obesity.

    “Elevated leptin and cholesterol levels are characteristic of obesity, and therefore these results further demonstrate the extent of the obese phenotype observed in Abi3–/– mice (Klop et al., 2013; Obradovic et al., 2021).”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites Klop et al., 2013 source

      The Abstract associates obesity with high LDL cholesterol, although the Introduction qualifies typical LDL cholesterol as normal or only slightly increased. The Introduction mentions leptin as an adipokine but does not say its levels are elevated in obesity. Thus the cholesterol portion has qualified support; the elevated-leptin portion is not supported by this copy. (LLM, conf=0.85)

      Experimental — accuracy not yet measured
    • cites Obradovic et al., 2021 source

      The Introduction and “Leptin Expression in Obesity” section describe elevated leptin as a common characteristic of obesity. The Introduction lists dyslipidemia among obesity-associated conditions, but the paper does not specifically say that elevated cholesterol levels are characteristic of obesity. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • Premisecitation

    A rare coding variant within the ABI3 gene locus is associated with increased risk of Alzheimer's disease.

    “Our initial interest in the ABI3 gene was inspired by a human genetics study that identified a rare coding variant within ABI3 gene locus that is associated with increased risk of AD (Sims et al., 2017).”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Sims et al., 2017 source
  • Premisecitation

    Abi3 is predominantly expressed in myeloid derived monocytic and microglial immune cells.

    “Abi3 is predominately expressed in myeloid derived monocytic and microglial immune cells (Zhang et al., 2014; Han et al., 2018).”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites Zhang et al., 2014 source

      The Abstract describes RNA-sequencing profiles of mouse cortical cell types, including microglia, but does not report Abi3 expression. Searches for “Abi3” and “Abelson interactor 3” found no passage establishing predominant expression in microglia or monocytic cells; the microglia-purification section instead discusses distinguishing microglia from contaminating peripheral macrophages. (LLM, conf=0.72)

      Experimental — accuracy not yet measured
    • cites Han et al., 2018 source
  • Interpretationreasoning

    Abi3 may serve important roles at the intersection of metabolic, neurodegenerative, and immune regulation.

    “In combination with our previous report demonstrating the importance of Abi3 in AD-like pathology (Karahan et al., 2021), we have provided evidence to suggest that Abi3 may serve important roles at the intersection of metabolic, neurodegenerative, and immune regulation.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Karahan et al., 2021 source
  • Study design and conductcitation

    The regression analysis addressed the potential confounding effects of differing body weight, thus isolating the direct effect of the deletion of Abi3 on energy expenditure.

    “Critically, however, the regression analysis addressed the potential confounding effects of differing body weight (Tschöp et al., 2011), thus isolating the direct effect of the deletion of Abi3 on energy expenditure.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Tschöp et al., 2011 source
  • Classified as probably not a substantial claim. 18
  • May combine two claims. 18
  • Classified as probably not a substantial claim.

    Premisecitation

    Microglia within the hypothalamus affect the progression and onset of obesity.

    “recent studies have demonstrated that microglia, in particular microglia within the hypothalamus, affects the progression and onset of obesity (Coats et al., 2017; Valdearcos et al., 2017, 2019; Hill et al., 2018).”
    Quote in the paperSubstantial claim2 of 3 sources checked
    • cites Coats et al., 2017 source

      The Introduction and Results discuss macrophages in adipose tissue during diet-induced obesity, not microglia in the hypothalamus. Searches for hypothalamic microglia and their role in obesity onset or progression found no passage in our copy addressing that claim; the Discussion’s mention of brain injury does not establish it. (LLM, conf=0.74)

      Experimental — accuracy not yet measured
    • cites Valdearcos et al., 2017, 2019

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Hill et al., 2018 source

      The Abstract and Discussion discuss macrophage populations in adipose tissue, not microglia in the hypothalamus. Searches for hypothalamic microglia and obesity onset or progression found no passage in our copy addressing that claim; the paper’s adipose-tissue findings do not establish it. (LLM, conf=0.76)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Premisecitation

    Deletion of the Abi3 gene locus significantly exacerbated Aβ pathology and neuroinflammation in 5xFAD mice.

    “We recently reported that deletion of the Abi3 gene locus significantly exacerbated Aβ pathology and neuroinflammation in these mice (Karahan et al., 2021).”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Karahan et al., 2021 source
  • Classified as probably not a substantial claim.

    Premisecitation

    Disrupted immune function is a potential link between metabolic and neurodegenerative disease states.

    “Intriguingly, it has been suggested that disrupted immune function is a potential link between these disease states (Pugazhenthi et al., 2017; Newcombe et al., 2018).”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites Pugazhenthi et al., 2017 source
    • cites Newcombe et al., 2018 source
  • Classified as probably not a substantial claim.

    Premisecitation

    Perturbations in immune function exacerbate neurodegeneration and metabolic diseases.

    “Perturbations in immune function have been demonstrated to exacerbate neurodegeneration and metabolic diseases (Lumeng and Saltiel, 2011; Ransohoff, 2016; Reilly and Saltiel, 2017).”
    Quote in the paperSubstantial claim1 of 3 sources checked
    • cites Lumeng and Saltiel, 2011 source

      The nature of obesity-induced inflammation (page unavailable) links inflammatory immune responses to metabolic dysfunction, and the Conclusion describes inflammation worsening insulin resistance and diabetes progression. The paper discusses brain inflammation in relation to metabolic function, but the passages do not show that immune perturbations exacerbate neurodegeneration; its mention of neuronal injury describes injury inducing inflammation instead. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
    • cites Ransohoff, 2016 source
    • cites Reilly and Saltiel, 2017

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

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

    Premisecitation

    Abi3 is suggested to exert its function through participation in the WAVE2 complex, a regulator of cytoskeletal remodeling.

    “While much remains to be discovered regarding the cellular functions of Abi3, it is suggested to exert its function through its participation in the WASP family verprolin-homologous protein-2 (WAVE2) complex, a regulator of cytoskeletal remodeling (Takenawa and Suetsugu, 2007; Moraes et al., 2017).”
    Quote in the paperNot a substantial claim1 of 2 sources checked
    • cites Takenawa and Suetsugu, 2007 source
    • cites Moraes et al., 2017 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Deleting a gene specifically within microglia decreased the number of microglia within the mediobasal hypothalamus but exacerbated diet induced obesity.

    “Conversely, a recent study demonstrated that by deleting a gene specifically within microglia, the number of microglia within the mediobasal hypothalamus decreased but diet induced obesity was exacerbated (Gao et al., 2017).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Gao et al., 2017 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Genetic or pharmacologic treatments that increase microgliosis within the mediobasal hypothalamus are capable of inducing obesity even in the absence of dietary challenge.

    “It has also been reported that genetic or pharmacologic treatments that increase microgliosis within the mediobasal hypothalamus are capable of inducing obesity even in the absence of dietary challenge (Valdearcos et al., 2017; Campolim et al., 2020).”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites Valdearcos et al., 2017 source

      The Abstract (page not provided) reports that genetic activation of microglia caused MBH microgliosis and weight gain in mice without a dietary challenge. It does not support the pharmacologic part: the pharmacologic treatment described in the Abstract and Results depleted microglia and reduced weight gain rather than inducing obesity. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
    • cites Campolim et al., 2020 source

      The Discussion (page unavailable) reports increased hypothalamic Iba1, a marker of microglial activation, after five days of PM2.5 exposure; the Results report obesity after 12 weeks, and the Methods specify standard chow. This supports microglial activation and subsequent obesity without a high-fat diet, but the intervention was air-pollution exposure—not a genetic or pharmacologic treatment that increased microgliosis—and the paper does not establish that microgliosis itself induced obesity. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Interpretationcitation

    Deletion of Abi3 gene locus can have dramatic impacts on the seemingly distinct disease states of obesity and neurodegeneration, likely due to disruptions in microglia functions.

    “our study has now demonstrated how deletion of Abi3 gene locus can have dramatic impacts on the seemingly distinct disease states of obesity and neurodegeneration, likely due to disruptions in microglia functions (Karahan et al., 2021).”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Karahan et al., 2021 source

      The Introduction and Discussion report that deleting the Abi3 locus worsened Alzheimer’s-related pathology in 5XFAD mice and altered microglial functions. The paper does not report an effect on obesity, so it supports the neurodegeneration-related part of the cited claim but not the asserted impact on both disease states. Page numbers were not available in our copy. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Energy expenditure in mice is predominantly regulated by the hypothalamus, centrally, and largely by thermogenic brown adipose tissue (BAT), peripherally.

    “Energy expenditure in mice is predominantly regulated by the hypothalamus, centrally, and largely by thermogenic brown adipose tissue (BAT), peripherally (Varela and Horvath, 2012; Harms and Seale, 2013; Schneeberger et al., 2014).”
    Quote in the paperSubstantial claim2 of 3 sources checked
    • cites Varela and Horvath, 2012 source

      The Introduction (page unavailable) describes the hypothalamus as pivotal in regulating energy homeostasis, supporting the central-regulation part of the claim. It does not establish that the hypothalamus predominantly regulates energy expenditure in mice or that thermogenic brown adipose tissue accounts for much of its peripheral regulation; searches for brown adipose tissue and thermogenesis found no supporting passage. (LLM, conf=0.83)

      Experimental — accuracy not yet measured
    • cites Harms and Seale, 2013

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Schneeberger et al., 2014 source

      The ARC neuronal circuits section reports that hypothalamic neurons increase BAT thermogenic function and affect energy expenditure in mice. But the paper does not establish that the hypothalamus is the predominant central regulator or that BAT accounts for most peripheral energy expenditure; its Concluding remarks describe regulation by multiple circuits, including the brainstem. Page numbers are unavailable in our copy. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Interpretationown data

    The functions of ABI3 are important not only in response to neurodegenerative pathology but also in the regulation of systemic metabolism.

    “Altogether, our data suggest that the functions of ABI3 are not only important in the response to neurodegenerative pathology (Karahan et al., 2021) but also in the regulation of systemic metabolism.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Karahan et al., 2021 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Both increased and decreased microglial inflammatory activity within the mediobasal hypothalamus can disrupt leptin/melanocortin related neuronal signaling, a pathway central to the regulation of energy balance.

    “Recent studies have shown that both increased and decreased microglial inflammatory activity within the mediobasal hypothalamus can disrupt leptin/melanocortin related neuronal signaling, a pathway that is central to the regulation of energy balance (Gao et al., 2017; Valdearcos et al., 2017; Kim et al., 2019).”
    Quote in the paperNot a substantial claim3 of 3 sources checked
    • cites Gao et al., 2017 source

      The Results report reduced microglial reactivity alongside fewer POMC neurons in the mediobasal hypothalamus of high-carbohydrate, high-fat-diet-fed mice. The Discussion links POMC neurons to melanocortin signaling and energy expenditure, but says it is unclear whether increased microglial activation harms hypothalamic neurons. The paper does not establish disruption of leptin signaling. (LLM, conf=0.87)

      Experimental — accuracy not yet measured
    • cites Valdearcos et al., 2017 source

      The Results section (‘Microglial A20 Deletion Induces Diet-Independent Metabolic Dysfunction’; page not provided) reports that increased microglial inflammatory activation reduced leptin-induced signaling in mediobasal hypothalamic neurons. The Introduction (page not provided) says that restraining microglial inflammatory activity protected mice from diet-induced hyperphagia and obesity. The paper does not show that decreased activity disrupts leptin or melanocortin neuronal signaling. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
    • cites Kim et al., 2019 source

      The Discussion links high-fat-diet-induced microglial activation and inflammatory signaling to hypothalamic metabolic dysfunction. But the Results section on POMC neuronal activation reports that mice lacking microglial UCP2 had greater POMC activation and retained leptin responsiveness under high-fat feeding. The paper therefore supports disruption associated with increased microglial activity, not the claim that decreased activity also disrupts this signaling. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Reducing dietary induced microgliosis can mitigate weight gain.

    “Further, it has been demonstrated that reducing this dietary induced microgliosis can mitigate weight gain (Andre et al., 2017; Valdearcos et al., 2017; Kim et al., 2019).”
    Quote in the paperNot a substantial claim3 of 3 sources checked
    • cites Andre et al., 2017 source
    • cites Valdearcos et al., 2017 source
    • cites Kim et al., 2019 source
  • Classified as probably not a substantial claim.

    Premisecitation

    Multiple studies have demonstrated that microglia number increases within the mediobasal hypothalamus during diet induced obesity.

    “Multiple studies have demonstrated that microglia number increases within the mediobasal hypothalamus during diet induced obesity (Thaler et al., 2012; de Kloet et al., 2014; Valdearcos et al., 2014; Schur et al., 2015; Waise et al., 2015; Baufeld et al., 2016; Guillemot-Legris et al., 2016).”
    Quote in the paperSubstantial claim3 of 3 sources checked
    • cites Thaler et al., 2012 source
    • cites de Kloet et al., 2014 source
    • cites Valdearcos et al., 2014 source
  • Classified as probably not a substantial claim.

    Premisecitation

    Altered microglia function within the hypothalamus has been connected to the maintenance of body weight and obesity.

    “Importantly, altered microglia function within the hypothalamus has been connected to the maintenance of body weight and obesity (Valdearcos et al., 2014, 2017; Andre et al., 2017; Dorfman et al., 2017; Gao et al., 2017; Rosin et al., 2018; De Luca et al., 2019; Kim et al., 2019; Campolim et al., 2020).”
    Quote in the paperSubstantial claim2 of 3 sources checked
    • cites Valdearcos et al., 2014, 2017

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Andre et al., 2017 source
    • cites Gao et al., 2017 source
  • May combine two claims.

    Findingown data

    Abi3-/- mice exhibit insulin resistance or impaired insulin response relative to Abi3+/+ mice.

    “In the ITT, Abi3–/– mice had significantly elevated blood glucose levels at 30, 45, and 60 min, indicative of insulin resistance, as compared to Abi3+/+ mice (Figure 1F).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Iba1+ cell size was increased only in the hippocampus, but not other brain regions, of Abi3-/- mice.

    “Iba1+ cell size was increased only in the hippocampus, but not other brain regions of Abi3–/– mice (Supplementary Figure 5).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Microglia number and area were decreased specifically within the mediobasal hypothalamus, but not in other areas, of Abi3-/- mice compared to Abi3+/+.

    “FIGURE 4 Deletion of Abi3 gene locus reduces microglia number and area within the mediobasal hypothalamus, but not other brain regions.”
    • Also stated in: § 4 Discussion · plain
      “Intriguingly, we found that microglia number and area were decreased specifically within the mediobasal hypothalamus, but not in other areas, of Abi3–/– mice compared to Abi3+/+.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    A weight-covariate controlled bulk RNA-seq analysis did not identify any DEGs within BAT but did identify DEGs within the hypothalamus.

    “This approach did not identify any DEGs within the BAT but did identify DEGs within the hypothalamus.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Abi3-/- mice had significantly reduced slope on the regression of energy expenditure vs. body weight during the light cycle but not the dark cycle.

    “However, Abi3–/– mice had significantly reduced slope on the regression of energy expenditure vs. body weight during the light cycle but not the dark cycle.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Abi3-/- mice had impairments in both glucose tolerance and insulin sensitivity.

    “Furthermore, we found that Abi3–/– mice had impairments in both glucose tolerance and insulin sensitivity.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Food intake and overall movement did not change between Abi3-/- and Abi3+/+ mice.

    “The food intake and the overall movement of the mice did not change between the genotypes.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    This investigation establishes the functional importance of the Abi3 gene locus in the regulation of systemic metabolism and maintenance of healthy body weight.

    “Altogether, this investigation establishes the functional importance of the Abi3 gene locus in the regulation of systemic metabolism and maintenance of healthy body weight.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Premisecitation

    Metabolic diseases such as obesity increase the risk of developing neurodegenerative disease such as Alzheimer's disease.

    “Additionally, it has been reported that metabolic diseases, such as obesity, increase the risk of developing neurodegenerative disease such as Alzheimer’s disease (AD) (Mazon et al., 2017; Zhuang et al., 2021).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Mazon et al., 2017 source
    • cites Zhuang et al., 2021 source
  • May combine two claims.

    Interpretationcitation

    Both hyperreactivity and reduced reactivity of hypothalamic microglia may lead to dysfunctional regulation of systemic metabolism.

    “It appears that both hyperreactivity and the reduced reactivity of hypothalamic microglia may lead to dysfunctional regulation of systemic metabolism.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The study was performed in accordance with an approved animal protocol from the Institutional Animal Care and Use Committee of Indiana University School of Medicine.

    “The present study was performed in accordance with our reviewed and approved animal protocol from the Institutional Animal Care and Use Committee of Indiana University School of Medicine.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Only male mice were available for this investigation because female mice were already used for another project.

    “Additionally, only male mice were available for this investigation because female mice were already used for another project.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Differentially expressed genes were defined by an FDR-adjusted (Benjamini-Hochberg) p-value ≤ 0.05.

    “Differential expressed genes were considered to be genes with an FDR-adjusted (Benjamini-Hochberg) p-value ≤ 0.05.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    The study used non-transgenic littermates from a cross between 5XFAD and Abi3-/- mice.

    “The mice utilized in this study were initially generated from a cross between 5XFAD and Abi3–/– mice; our study utilized the non-transgenic littermates from this cross.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    The increased body weight in Abi3-/- mice was driven predominantly by increased fat mass, which is indicative of an obese phenotype.

    “These findings indicated that the increased weight was driven predominantly by increased fat mass, which is indicative of an obese phenotype.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    The deletion of Abi3 gene locus itself, as opposed to Abi3 dependent differences in body weight, induced changes to gene expression within the hypothalamus but not within BAT.

    “This suggests that the deletion of Abi3 gene locus itself, as opposed to Abi3 dependent differences in body weight, induced changes to gene expression within the hypothalamus but not within BAT.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    Abi3 is involved in both immune and metabolic regulation.

    “In this report, we describe how an unexpected discovery revealed that an AD-related gene, Abelson interactor family member 3 (Abi3), is involved in both immune and metabolic regulation.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Microglia are highly dynamic cells that constantly survey their microenvironment and communicate with other CNS cells, both of which require cytoskeletal remodeling.

    “Further, microglia are highly dynamic cells that are constantly surveying their microenvironment and communicating with other CNS cells, both of which are functions that require cytoskeletal remodeling (Uhlemann et al., 2016; Prinz et al., 2019).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Uhlemann et al., 2016 source
    • cites Prinz et al., 2019 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The animal study was reviewed and approved by the IUPUI Animal Care and Use Committee Indiana University School of Medicine at Indianapolis.

    “The animal study was reviewed and approved by the IUPUI Animal Care and Use Committee Indiana University School of Medicine at Indianapolis.”
    Quote in the paperNot a substantial claim
33 of 33
  • The paper relies on this without support.

    The role of Abi3 in the context of metabolic regulation and metabolic disease is completely unknown.

    “However, the role of Abi3 in the context of metabolic regulation and metabolic disease is completely unknown.”
  • The paper relies on this without support.

    The field currently has limited knowledge regarding the specific molecular drivers that alter the immune system to jointly modulate metabolic and neurodegenerative disease states.

    “However, the field currently has limited knowledge regarding the specific molecular drivers that alter the immune system to jointly modulate metabolic and neurodegenerative disease states.”
  • The paper relies on this without support.

    The mediobasal hypothalamus is central to the regulation of systemic metabolism, and microglia play a key role in that regulation.

    “The mediobasal hypothalamus is an area that is central to the regulation of systemic metabolism, and it is postulated that microglia play a key role in that regulation.”
  • The paper relies on this without support.

    Iba1+ cell number and area reflect microglia function.

    “Therefore, the change in microglia number could indicate that the loss of Abi3 might induce obesity through altered microglia function within the mediobasal hypothalamus.”
  • The paper relies on this without support.

    Abi3 is predominantly expressed by microglia within the CNS.

    “As Abi3 is predominantly expressed by microglia within the CNS”
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?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Smith, D. C., Karahan, H., Wijeratne, H. R. S., Al-Amin, M., McCord, B., Moon, Y., & Kim, J.
Affiliations
  • Indiana University Indianapolis (US)
  • Indiana University School of Medicine
Corresponding author
Kim, Jungsu
Venue
Frontiers in Aging Neuroscience
Published
2022-12-22
Volume
14
Pages
1035572-1035572
ISSN
1663-4365 (ISSN-L)
OpenAlex
W4312187432
Cited by
8
References
49
Citations by year
2026: 1 · 2025: 3 · 2024: 2 · 2023: 2
FWCI
0.72
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Aging Neuroscience (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • IUScholarWorks (Indiana University) (submittedVersion, cc-by)
  • PubMed Central (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Institute on Aging (R01AG071281, RF1AG074543, R21AG072738)
  • National Institute of Diabetes and Digestive and Kidney Diseases (T32DK064466-20, DK097512)
Topics
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
Keywords
ABI3, gene deletion, obesity, body weight, energy expenditure, hypothalamus, microglia, mediobasal hypothalamus, immune gene expression, systemic metabolism, fat mass

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 2026-10-17.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-17.

Cited sources are checked by gpt-6-sol.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review