Xiao-Dong Zhao’s research while affiliated with Chongqing Medical University and other places

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Publications (140)


Current understanding of ELF4 deficiency: a novel inborn error of immunity
  • Literature Review

May 2024

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7 Reads

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1 Citation

World Journal of Pediatrics

Hong-Qiang Du

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Xiao-Dong Zhao

ELF4 deficiency has been recently recognized as a novel disorder within the spectrum of inborn errors of immunity (IEIs), specifically categorized as a “disease of immune dysregulation.” Cases of this condition, reported by our team and others, are very limited worldwide. As such, our current knowledge of this new disease remains preliminary. This review aims to provide a brief overview of the clinical manifestations, pathogenesis, and treatment strategies for this novel IEI. A comprehensive review was conducted after an extensive literature search in the PubMed/Medline database and websites concerning transcriptional factor ELF4 and reports concerning patients with ELF4 deficiency. Our search strategy was “ELF4 OR ETS-related transcription factor Elf-4 OR EL4-like factor 4 OR myeloid Elf-1-like factor” as of the time of manuscript submission. The current signature manifestations of ELF4 deficiency disorder are recurrent and prolonged oral ulcer, abdominal pain, and diarrhea in pediatric males. In some cases, immunodeficiency and autoimmunity can also be prominent. Targeted Sanger sequencing or whole exome sequencing can be used to detect variation in ELF4 gene. Western blotting for ELF4 expression of the patient’s cells can confirm the pathogenic effect of the variant. To fully confirm the pathogenicity of the variant, further functional test is strongly advised. Glucocorticoid and biologics are the mainstream management of ELF4 deficiency disorder. Pediatric males presenting with recurring ulcerations in digestive tract epithelium with or without recurrent fever should be suspected of DEX. When atypical presentations are prominent, variations in ELF4 gene should be carefully evaluated functionally due to the complex nature of ELF4 function. Experience of treating DEX includes use of glucocorticoid and biologics and more precise treatment needs more patients to identify and further mechanistic study.



GDF11 is predominantly expressed in the EN in the adult mouse, marmoset and human brain
a–e Schematic diagrams of the brain of mouse (a), and the red box in the cerebral cortex shows the location where the images were taken. Immunofluorescence double labelling (b, c, 2 double-labelled neurons are indicated as examples in (b, c)) and quantification (d, e, n = 6 images from 3 mice) of GDF11 (green, b) and NeuN (red, b) or GDF11 (green, c) and CaMKIIα (red, c) in the cerebral cortices of the mice aged 3 months (3 M). f Representative images of immuno-electron microscopy (Immuno-EM) of GDF11 labelled with nanogold particles (there are many GDF11 labelled black dots and only some examples are indicated with red arrows) in the cerebral cortex of the mice aged 3 M (n = 3 mice). Nuc, nucleus; Den, dendrite. g Immunofluorescence double labelling of GDF11 (green, arrow) and GABA (red, double arrowheads) (n = 3 mice). h Immunofluorescence double labelling of GDF11 (green) together with Olig2 (red, left), GFAP (red, middle), Iba1 (red, middle) in the cerebral cortex (Cx) and Dcx (red, right) in the dentate gyrus (DG) of the mice aged 3 M (n = 3 mice). The GDF11 negative cells are indicated by arrows in (h). i Schematic diagrams of the brain of the marmoset (one aged 62 M and another aged 70 M), and the red box in the cerebral cortex shows the location of the images (n = 2 marmosets). j–o Immunofluorescence double labelling (j, m, n, o) and quantification (k, l) of GDF11 (green) together with CaMKIIα (red, j, k, l, 2 double-labelled neurons are indicated as examples in (j); n = 8 images from 2 marmosets) or GABA (red, m), Olig2 (red, n) or GFAP (red, o). The GDF11 negative cells are indicated by arrows in (m, n, q). p Schematic diagrams of the human brain. The red box in the cerebral cortex shows the location of the images. q–s Immunofluorescence double labelling (q, male patient aged 24 years (Y) and female patient aged 23Y diagnosed with intractable epilepsy and the focus of epileptic cortices had to be removed surgically) and quantification (r, s, n = 4 patients, male patient aged 23Y, male patient aged 52Y, female patient aged 54Y and male patient aged 60Y suffered brain injury) of GDF11 (green) together with CaMKIIα (red) in the cerebral cortex of patients and 2 double-labelled neurons are indicated by arrows in (q). t Immunofluorescence double labelling of GDF11 (green) together with GABA (red, left), Olig2 (red, middle), GFAP (red, middle) and Iba1 (red, right) in the cerebral cortex of patients (n = 4 patients). The GDF11 negative cells are indicated by arrows in (t). Scale bars, as shown on the images, 30 μm (b, c), 250 nm (f), 10 μm (g), 40 μm (j, m, n, o), 20 μm (h, q, t). Data are presented as mean ± SEM. Source data are provided with this paper.
Selective deletion of GDF11 in the EN of the CNS accelerates their own senescence preferentially in the insular, piriform and cingulate cortices and shortens lifespan in mice
a Quantification by qPCR of the relative mRNA of GDF11 in the brain of the WT mice aged 3 M, 9 M or 36 M (n = 3 mice/group). b Immunofluorescence double labelling of GDF11 (green) and CaMKIIα (red) in the cerebral cortices of the mice aged 3 M, 9 M and 36 M. One GDF11⁺CaMKIIα⁺ neuron is indicated by an arrow as an example per group. c Quantification of the average gray value of GDF11 in GDF11⁺CaMKIIα⁺ neurons in the cerebral cortices of the mice aged 3 M, 9 M and 36 M (3 M, n = 140; 9 M, n = 160; 36 M, n = 232 cells). d–g Representative images (d) and quantification (e–g) of the SA-β-Gal⁺ cells in layers 4 and 5 (d, up, and e, the dashed lines indicate the borders of layers 4 and 5, WT, n = 6; GDF11f/f, n = 8; GDF11cKO, n = 6), layer 6a (d, middle, and f layer 6a is the deep layer cortex near the corpus callosum (CC), WT, n = 8; GDF11f/f, n = 8; GDF11cKO, n = 8) of the insular cortex (IC), and layers 2 and 3 of the piriform cortex (d, down, and g the dashed lines indicate the borders of layers 2 and 3, WT, n = 8; GDF11f/f, n = 10; GDF11cKO, n = 10) of GDF11cKO or GDF11f/f or WT mice aged 10 M. h–j Representative images (h) and quantification of the SA-β-Gal⁺ cells in the cingulate cortex of GDF11cKO or GDF11f/f mice aged 10 M (i, GDF11f/f, n = 8; GDF11cKO, n = 6) and 17 M (j, GDF11f/f, n = 3; GDF11cKO, n = 4). Examples of the SA-β-Gal⁺ cells are indicated by double arrowheads in (d, h). k A schematic summary on the distribution of the SA-β-Gal⁺ cells in the brain of GDF11cKO or GDF11f/f mice aged 10 M and 17 M. l Representative images of double labelling of SA-β-Gal staining (blue) and immunofluorescence of NeuN (fluorescence shown in white) in the insular cortex of GDF11cKO or GDF11f/f mice aged 10 M. Examples of the SA-β-Gal⁺NeuN⁺ neurons are indicated by red arrowheads. m Representative images of double labelling of SA-β-Gal staining (blue) and immunohistochemical staining of CaMKIIα (brown) in the cerebral cortices of GDF11cKO or GDF11f/f mice aged 10 M. Examples of the SA-β-Gal⁺CaMKIIα⁺ ENs are indicated by black arrows. n Survival curves of GDF11f/f (n = 35 mice) and GDF11cKO mice (n = 15 mice) which died naturally, and log-rank test P value was shown. Median survival is 25 months in GDF11f/f mice and 22.8 months in GDF11cKO mice. Scale bars, as shown on the images, 20 μm (b, d up, m), 40 μm (d, middle and down), 50 μm (h) and 10 μm (l). Data are presented as mean ± SEM. *P < 0.05, **P < 0.01. a (F (2, 6) = 6.672, e 0.0298; 3 M versus 36 M, P = 0.0270), c (F (2529) = 18.77, P < 0.0001; 3 M versus 9 M, P < 0.0001; 3 M versus 36 M, P < 0.0001; 9 M versus 36 M, P = 0.5477), e (F (2, 17) = 20.14, P < 0.0001; WT versus GDF11f/f, P = 0.9950; GDF11f/f, versus GDF11cKO, P < 0.0001), f (F (2, 21) = 4.825, P = 0.0189; WT versus GDF11f/f, P = 0.9963; GDF11f/f, versus GDF11cKO, P = 0.0322) and g (F (2, 25) = 11.61, P = 0.0003; WT versus GDF11f/f, P = 0.4738; GDF11f/f, versus GDF11cKO, P = 0.0002). One-way ANOVA with post Tukey multiple comparisons test. i (P = 0.3427) and j (P = 0.0280), unpaired two-tailed t test. Source data are provided with this paper.
In vitro loss of GDF11 induces cellular senescence phenotypes and senescence-associated transcriptional programs
a Immunofluorescence image of NeuN (green) in Neuro-2a cells (n = 6 fields). Scale bar, 40 μm. b PCR of the cell genomes verified successful knockout of the targeted part of exon 2 of GDF11 in Neuro-2a cells (GDF11KO) (n = 3 clones of GDF11KO cells). c Verification of GDF11 knockout by comparing the mRNA enrichment tracks of GDF11 between GDF11KO and WT Neuro2a cells by bulk RNA-seq. d Quantification of the relative mRNA of GDF11 in the GDF11KO and WT Neuro-2a cells by qPCR (n = 3 biological repeats/group). e, f Western blot (e) and Immunofluorescence of GDF11 (f, scale bar, 40 μm) in GDF11KO or WT Neuro-2a cells (n = 3 biological repeats/ group). g, h Representative images (g) and quantification (h, GDF11KO, n = 13; WT, n = 12 fields) of the SA-β-Gal⁺ cells (blue) in GDF11KO and WT Neuro-2a cells. All cells are indicated by black stars, and a few representative SA-β-Gal⁺ cells are indicated by black arrows. Scale bar, 50 μm. i Quantification of SA-β-Gal⁺ cells in 3 independent clones of GDF11KO and WT Neuro-2a cells (GDF11KO, n = 3; WT, n = 3 clones). j, k Representative images (j, DAPI, blue) and quantification (k, GDF11KO, n = 234 cells; WT, n = 211 cells) of the nuclei of GDF11KO and WT Neuro-2a cells. Scale bar, 3 μm. l Volcano plot of upregulated (706) and downregulated (411) genes caused by deletion of GDF11 in Neuro-2a cells and revealed by bulk-RNA-seq (n = 3 clones). m Bulk RNA-seq gene ontology (GO) analysis reveals the top 10 enriched biological processes downregulated by GDF11 deletion in Neuro-2a cells, and the logarithm base 2 of the fold change below −1 was included. n Heatmap of downregulated (11) or upregulated (1) genes involved in “lipid metabolic process” listed in m or “lipid droplets” caused by deletion of GDF11 in Neuro-2a cells, and the logarithm base 2 of the fold change above 1 or below −1 was included. o Representative images of transmission electron microscope (TEM) show the ultrastructure features of GDF11KO and WT Neuro-2a cells. Cell nucleus (Nuc), lipofuscin (light blue arrows), neurosecretory granules (red double arrowheads) and mitochondrion (brown arrowheads) are indicated as examples. Scale bars, 2 μm. p–r Representative TEM images (p, lipofuscins, light blue arrows) and quantification of the number (Q, GDF11KO, n = 20 cells; WT, n = 20 cells) or the area (r, GDF11KO, n = 141; WT, n = 85 lipofuscins) of lipofuscins in the GDF11KO and WT Neuro-2a cells. Scale bars, 500 nm. s–u Representative TEM images (s, mitochondrion, brown arrowheads; neurosecretory granules, red double arrowheads) and quantification of the number (t, GDF11KO, n = 10 cells; WT, n = 10 cells) or the area (u, GDF11KO, n = 299; WT, n = 254 mitochondria) of the mitochondria of the GDF11KO and WT Neuro-2a cells. Scale bars, 500 nm. v Quantification of the number of neurosecretory granules (GDF11KO, n = 8 cells; WT, n = 10 cells) of the GDF11KO and WT Neuro-2a cells. Data are presented as mean ± SEM. *P < 0.05, **P < 0.01 and “ns” indicates not significant, d (P < 0.0001), h (P < 0.0001), i (P = 0.0024), k (P = 0.0030), q (P = 0.0002), r (P = 0.0274), t (P = 0.8009), u (P < 0.0001), v (P = 0.0047), unpaired two-tailed t test. Source data are provided with this paper.
Selective deletion of GDF11 in the EN causes their own hyperexcitability and deteriorates social cognition and object recognition memory in mice
a Schematic diagrams (left) and representative images (right) of the cingulate gyrus 2 (Cg2), in the prefrontal cortex of GDF11f/f mice aged 4M-5M, where bilateral focal injection of AAV9-CaMKIIα-Cre-P2A-GFP virus (KO) or AAV9-CaMKIIα-GFP virus (Ctrl) was received at age of 2–3 M and survived for two more months. b Infrared-differential interference contrast (IR-DIC) image (top) and GFP fluorescent image (bottom) of an example of GFP⁺ EN which is undergoing whole-cell patch clamp recording (n = 64 cells from six mice). c Representative whole-cell recordings in brain slice of a control EN (in Cg2 of GDF11f/f mice, Ctrl, blue) and a GDF11 deleted-EN (in Cg2 of fGDF11cKO mice, KO, red) show the firing of action potentials (AP) in response to a series of step current injections. d Examples show typical firing patterns of GFP⁺ EN of fGDF11cKO mice. e Pie graphs show the percentage of GFP⁺ EN with diverse firing patterns (RS, regular spiking; IS, irregular spiking; IB, intrinsic bursting; RB, repetitive bursting) in WT or KO mice. f Left, plots of the AP frequency as a function of injected currents. Curves are color coded (Ctrl, blue, n = 31 cells from three mice; KO, red, n = 33 cells from three mice). Inset shows the beginning of the curve. Right, plots of the rheobase (Ctrl: 113 ± 16 vs. KO: 81 ± 10 pA, P = 0.049) and slope (Ctrl: 0.18 ± 0.01 vs. KO: 0.30 ± 0.03, P = 0.000) in the two groups (Ctrl, n = 31 cells from three mice; KO, n = 30 cells from three mice). g Left, representative AP waveforms (top) and phase plots (bottom) from Ctrl (blue) or KO (red) group. Right, plots of the AP threshold (Ctrl: −37.9 ± 0.8 vs. KO: −35.0 ± 0.7 mV, P = 0.014), amplitude (AMP) (Ctrl: 85.8 ± 1.6 vs. KO: 78.6 ± 2.2 mV, P = 0.010) and half-width (Ctrl: 0.79 ± 0.03 vs. KO: 0.74 ± 0.03 ms, P = 0.30) in the two groups (Ctrl, n = 29 cells from three mice; KO, n = 24 cells from three mice). h Left-top, representative membrane potential responses to negative current pulses from Ctrl (blue) or KO (red) groups. Plots of the input resistance (Ctrl: 104 ± 10 vs. KO: 214 ± 21 MΩ, P = 0.000), membrane constant (Ctrl: 14.4 ± 1.1 vs. KO: 22.1 ± 2.0 ms, P = 0.003), Sag ratio (Ctrl: 1.18 ± 0.02 vs. KO: 1.27 ± 0.03, P = 0.033), membrane capacitance (Ctrl: 147 ± 11 vs. KO: 95 ± 5 pF, P = 0.000) and RMP (Ctrl: −67.3 ± 1.0 vs. KO: −63.1 ± 0.9 mV, P = 0.004) in the two groups (Ctrl, n = 31 cells from three mice; KO, n = 33 cells from three mice). i Representative whole-cell recordings of mIPSC from the EN in GDF11f/f mice (Ctrl, blue) and fGDF11cKO mice (KO, red). j Left, scaled mIPSC examples in the two groups. Right, plots of rising time (Ctrl: 0.65 ± 0.04 vs. KO: 0.85 ± 0.06 ms, P = 0.005) and decay time (Ctrl: 4.44 ± 0.21 vs. KO: 4.69 ± 0.34 ms, P = 0.53) of mIPSCs in the two groups (Ctrl, n = 18 cells from four mice; KO, n = 16 cells from four mice). k, l Cumulative frequency curve of the inter-event-interval (k) and amplitude (l) of mIPSCs. Insets show the group plots of mIPSC frequency (k, Ctrl: 34.6 ± 5.2 vs. KO: 4.0 ± 0.9 Hz, P = 0.000) and amplitude (l, Ctrl: 24.0 ± 1.6 vs. KO: 20.5 ± 1.8 pA, P = 0.16). m–p Recordings of mEPSCs (Ctrl, n = 24 cells from four mice; KO, n = 28 cells from 4 mice) and similar plots as the mIPSCs shown above. Rising time (n, ctrl: 0.87 ± 0.05 vs. KO: 0.81 ± 0.06 ms, P = 0.46); Decay time (n, ctrl: 3.54 ± 0.20 vs. KO: 2.98 ± 0.24 ms, P = 0.041); Frequency (o, Ctrl: 3.66 ± 0.84 vs. KO: 3.13 ± 0.65 Hz, p = 0.82); Amplitude (p, Ctrl: 14.5 ± 0.8 vs. KO: 14.3 ± 0.9 pA, P = 0.33). q, r Representative traces showing IPSC (q, left) or EPSC (r, left) evoked by extracellular electric stimulations for the comparison of paired-pulse ratio (PPR) in GDF11f/f mice (Ctrl, blue) and fGDF11cKO mice (KO, red). Group plots of PPR for IPSC (q, right, Ctrl, n = 7 cells from 3 mice: 0.98 ± 0.07 vs. KO, n = 9 cells from three mice: 1.16 ± 0.20, P = 0.92) and EPSC (r, right, Ctrl, n = 9 cells from 3 mice: 1.38 ± 0.07 vs. KO, n = 6 cells from three mice: 1.26 ± 0.06, P = 0.24). s Track diagrams in the 3-chamber test (3CT) between the fGDF11cKO (KO) and GDF11f/f (Ctrl) mice aged 4–5 M. O object, S1 stranger mouse, S2 new stranger mouse. t Quantification of the exploration time in 3CT (KO, n = 13; Ctrl, n = 13 mice) on objects between the fGDF11cKO (KO) and GDF11f/f (Ctrl) mice aged 4–5 M. O1, object 1; O2, object 2. u Quantification of the preference index (S1-O) between the S1 and object in the KO and Ctrl groups (KO, n = 13; Ctrl, n = 13 mice). v Quantification of the preference index (S2-S1) between the S2 and S1 in the KO and Ctrl groups (KO, n = 13; Ctrl, n = 13 mice). w Schematic diagram of the novel object recognition test (NORT) between the GDF11cKO and GDF11f/f mice aged 10 M. Red squares indicate the familiar toy while blue triangle indicates a novel toy. x Quantification of the percentage of exploration time (GDF11cKO, n = 9; GDF11f/f, n = 6 mice) on the familiar or a novel toy in the GDF11cKO and GDF11f/f mice aged 10 M. y Quantification of the novel object discrimination index ((novel-familiar)/(novel + familiar)) between the familiar or a novel toy in the GDF11cKO and GDF11f/f mice aged 10 M (GDF11cKO, n = 9; GDF11f/f, n = 6 mice). Data are presented as mean ± SEM. Whisker boxplots in (f, h) represent the median and interquartile range; whiskers represent 1.5× interquartile range. *P < 0.05, **P < 0.01 and “ns” represents not significant. f (Rheobase/Slope), h (Input resistance/Membrane constant/Sag ratio/Capacitance), j (Rising time), k, n (Decay time), o–q Mann–Whitney U test. g, h (RMP), j (Decay time), l, n (Rising time), r, u (P = 0.0118), v (P = 0.0128), x (GDF11f/f: Familiar versus Novel, P = 0.0331; GDF11cKO: Familiar versus Novel, P = 0.0188) and y (P = 0.0254), unpaired two-tailed t test. t (Ctrl: O1 versus O2, P = 0.3210; KO: O1 versus O2, P = 0.2200), two-way ANOVA with post Sidak’s multiple comparisons test. Source data are provided with this paper.
In vivo selective deletion of GDF11 in the EN drives transcriptional programs associated with brain ageing and prunes and shortens their apical dendrites
a Schematic diagrams of the cingulate gyrus 2 (Cg2), in the prefrontal cortex of GDF11f/f mice aged 4–5 M, where bilateral focal injection of AAV9-CaMKIIα-Cre-P2A-GFP virus (KO) or AAV9-CaMKIIα-GFP virus (Ctrl) was received at age of 2–3 M and survived for two more months. b UMAP of the clustered 16 cell types in snRNA-seq of the Cg2 in both 3 KO mice and 3 control mice (Ctrl) aged 4–5 M. c Violin chart of the relative mRNA of GDF11 by snRNA-seq in KO-GFP⁺, KO-GFP⁻, Ctrl-GFP⁺ or Ctrl-GFP⁻ EN. The KO-EN were divided into KO-GFP⁺ and KO-GFP⁻ groups whereas “Ctrl-EN” were divided into Ctrl-GFP⁺ and Ctrl-GFP⁻ groups. d and e, Heatmap shows the average transcription of downregulated and upregulated ageing-related genes (d) and SASP-related genes (e) in snRNA-seq of KO-GFP⁺, KO-GFP⁻, Ctrl-GFP⁺ or Ctrl-GFP⁻ EN. f Confocal images (Left) and 3D-reconstruction (Right) of representative EN from Ctrl (Top) or KO (Bottom) groups. Dendrites and soma are presented in red, and axons are in blue. Scale bar, 50 μm. g, h Plots of the number of intersections of dendrites (g) in the two groups (Ctrl, n = 11 cells from three mice; KO, n = 11 cells from three mice) and the group data showing the number of total dendrite intersections (h, Ctrl: 448 ± 28 vs. KO: 346 ± 36, P = 0.028). i–k Group data show the total number of apical dendrite intersections (i, Ctrl: 238 ± 17 vs. KO: 181 ± 18, P = 0.036), the total length of apical dendrites (j, Ctrl: 3.77 ± 0.28 vs. KO: 2.83 ± 0.34 mm, P = 0.044), and the apical branch orders against the averaged dendrite length (k, branch order 1, Ctrl: 445 ± 28 vs. KO: 403 ± 22 μm, P = 0.26; branch order 2, Ctrl: 115 ± 3 vs. KO: 93 ± 8 μm, P = 0.017; order 3, Ctrl: 91 ± 4 vs. KO: 70 ± 6 μm, P = 0.007; branch order 4, Ctrl: 72 ± 6 vs. KO: 56 ± 7 μm, P = 0.12) in the two groups (Ctrl, n = 11 cells from three mice; KO, n = 11 cells from three mice). l–n Group data comparing the number of total basal intersections (l, Ctrl: 207 ± 15 vs. KO: 162 ± 22, P = 0.11), total basal dendrite length (m, Ctrl: 2.73 ± 0.18 vs. KO: 2.16 ± 0.29 mm, P = 0.11) and the basal branch orders against the averaged dendrite length (n, branch order 1, Ctrl: 102 ± 4 vs. KO: 102 ± 8 μm, P = 0.98; branch order 2, Ctrl: 82 ± 3 vs. KO: 82 ± 9 μm, P = 0.32; order 3, Ctrl: 69 ± 8 vs. KO: 59 ± 2 μm, P = 0.25) in the two groups (Ctrl, n = 11 cells from three mice; KO, n = 11 cells from three mice). o, p Plots of the axon distance from soma against the number of intersections (o) in the two groups (Ctrl, n = 11 cells from three mice; KO, n = 11 cells from three mice). Group data show the number of total axon branches intersections (p, Ctrl: 239 ± 17 vs. KO: 190 ± 28, P = 0.15). q Confocal examples of dendritic spines (red arrows indicate the big mushroom spines while yellow arrows point to small mushroom spines) in the two groups. Scale bar, 5 μm. r, s Group data show total spine density per 10 μm (r, Ctrl: 6.28 ± 0.23 vs. KO: 1.61 ± 0.13/10 μm, P = 0.000) and mushroom spine diameter (s, Ctrl: 0.66 ± 0.01 vs. KO: 0.80 ± 0.02 μm, P = 0.000) in two groups (Ctrl, n = 68 dendrites from 16 cells; KO, n = 70 dendrites from 16 cells). t Plots of spine density against the mushroom spine diameter in the two groups (Ctrl, n = 16 cells from three mice; KO, n = 16 cells from three mice). u A schematic summary: GDF11 deletion results in hyperexcitability of the EN as reflected by an enhancement in their firing frequency (due to increased input resistance and elevated RMP) and a decrease in mIPSC frequency. In addition, GDF11 deletion in the EN prunes and shortens their apical dendrites, reduces their dendritic mushroom spine density while enlarges its size. Data are presented as mean ± SEM. *P < 0.05, **P < 0.01. h, i, j, k, l, m, n, p, unpaired two-tailed t test; r, s, Mann–Whitney U test. Source data are provided with this paper.

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GDF11 slows excitatory neuronal senescence and brain ageing by repressing p21
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  • Full-text available

November 2023

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16 Citations

As a major neuron type in the brain, the excitatory neuron (EN) regulates the lifespan in C. elegans. How the EN acquires senescence, however, is unknown. Here, we show that growth differentiation factor 11 (GDF11) is predominantly expressed in the EN in the adult mouse, marmoset and human brain. In mice, selective knock-out of GDF11 in the post-mitotic EN shapes the brain ageing-related transcriptional profile, induces EN senescence and hyperexcitability, prunes their dendrites, impedes their synaptic input, impairs object recognition memory and shortens the lifespan, establishing a functional link between GDF11, brain ageing and cognition. In vitro GDF11 deletion causes cellular senescence in Neuro-2a cells. Mechanistically, GDF11 deletion induces neuronal senescence via Smad2-induced transcription of the pro-senescence factor p21. This work indicates that endogenous GDF11 acts as a brake on EN senescence and brain ageing.

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Interfering with Rac1-activation during neonatal monocyte-macrophage differentiation influences the inflammatory responses of M1 macrophages

September 2023

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11 Reads

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3 Citations

Cell Death and Disease

Necrotizing enterocolitis (NEC) is a life-threatening, inflammatory disease affecting premature infants with intestinal necrosis, but the mechanism remains unclear. Neonatal macrophages are thought to play an important role in the pathogenesis of NEC through the production of proinflammatory cytokines. Restriction of cytokine expression in macrophages of NEC tissues may be beneficial. In adult macrophages, interfering with Rac1 has been shown to influence the expression of cytokines. Here, we investigated whether interfering with Rac1 in neonatal macrophages affects their inflammatory responses. First, we found that Rac1-activation was upregulated in the macrophages of rats with NEC model induction compared to controls. The M1 macrophages derived from human neonatal monocytes showed greater Rac1-activation than the M2 macrophages derived from the same monocytes. Inhibition of Rac1-activation by NSC23766 potently reduced the production of proinflammatory cytokines in these M1 macrophages. While neonatal monocytes differentiated into M1 macrophages in vitro, NSC23766 significantly altered cell function during the first six days of incubation with GM-CSF rather than during the subsequent stimulation phase. However, the same effect of NSC23766 was not observed in adult macrophages. Using mass spectrometry, Y-box binding protein 1 (YB1) was identified as being downregulated upon inhibition of Rac1-activation in the neonatal macrophages. Moreover, we found that inhibition of Rac1-activation shortens the poly A tail of PABPC1 mRNA, thereby reducing the translation of PABPC1 mRNA. Consequently, the downregulation of PABPC1 resulted in a reduced translation of YB1 mRNA. Furthermore, we found that TLR4 expression was downregulated in neonatal macrophages, while YB1 expression was reduced. Adding resatorvid (TLR4 signaling inhibitor) to the macrophages treated with NSC23766 did not further reduce the cytokine expression. These findings reveal a novel Rac1-mediated pathway to inhibit cytokine expression in neonatal M1 macrophages and suggest potential targets for the prevention or treatment of NEC.


Figure 1 YYR inhibited cell proliferation in A549 cells. A549 cells were treated with YYR (0.00, 0.125, 0.25, 0.50, and 1.00 mg/mL) for 24-, 48-, and 72-h, and the cell viability was determined by CCK-8 assay. *, P<0.05; **, P<0.01; ***, P<0.001 and ****, P<0.0001 vs. 0.00 mg/mL YYR. YYR, Yiqi Yangjing recipe; OD, optical density; CCK-8, Cell Counting Kit-8.
Figure 5 YYR promoted apoptosis while inhibited PFKFB3 expression. Nude mice were injected with A549 cells into either side of the posterior flank, and then given 5 mg/kg PFK15, 0.64 g YYR, and 1.28 g YYR via intragastric administration. (A) Tumor images and volume from the nude mouse xenograft model were showed. (B) mRNA and protein levels of PFKFB3 were detected by RT-qPCR and western blotting. (C) The cell apoptotic rates of tissues were analyzed by TUNEL assay (200×, 50 µm). *, P<0.05; **, P<0.01; ***, P<0.001 and ****, P<0.0001 vs. vehicle. YYR, Yiqi Yangjing recipe; mRNA, messenger RNA; RT-qPCR, reverse transcription quantitative polymerase chain reaction; TUNEL, terminal deoxynucleotidyl transferase dUTP nick end labeling.
Yiqi Yangjing recipe stimulates apoptosis while suppressing the energy metabolism via under-expression of PFKFB3 in A549 cells

September 2023

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Journal of Thoracic Disease

Background Lung cancer is a malignant tumor associated with high morbidity and mortality. Yiqi Yangjing recipe (YYR) is a formula of traditional Chinese medicine (TCM) that is commonly used for the treatment of lung cancer with good clinical efficacy. The specific anti-cancer mechanism of YYR is still unknown. We need to embark on a more in-depth pharmacological study of YYR to determine the complex compound ingredients, which could be promoted in clinical practice to achieve efficacy in prolonging recurrent metastasis of lung cancer. Methods The cytotoxic effects of YYR on A549 cells were evaluated by Cell Counting Kit-8 (CCK-8) assay. The PFKFB3-under-expressed and overexpressed A549 cell lines were constructed via PFK15 treatment and transfection, respectively. The effects of YYR on PFKFB3 messenger RNA (mRNA) and protein expression were detected by reverse transcription quantitative polymerase chain reaction (RT-qPCR) and western blot. The pro-apoptotic and anti-glycolytic abilities of YYR were measured using flow cytometry assay and hippocampal XF96 extracellular flux analyzer. An in vivo tumorigenicity assay was performed on nude mice to confirm the anti-cancer effects of YYR. Results YYR has a noticeable cytotoxic activity on A549 cells, with the treatment with both YYR and PFK15 significantly inducing apoptosis. YYR and PFK15 treatment reduced the extracellular acidification rate (ECAR) and oxygen consumption rate (OCR) in A549 cells. Similar to PFK15, YYR can down-regulate PFKFB3 expression, and PFKFB3 overexpression suppressed the apoptosis, which was reversed by YYR. Animal experiments confirmed that YYR was able to inhibit tumor growth, induce tumor cell apoptosis, and down-regulate PFKFB3 in tumor tissues. Conclusions This study demonstrated that YYR promoted lung cancer cell apoptosis and inhibited energy metabolism by targeting PFKFB3. Furthermore, we believe that YYR may be a suitable supplement or alternative drug for lung cancer treatment.







Citations (60)


... DEX primarily affects males and is characterized by recurrent inflammation involving the skin, mucosal tissues (including skin ulcers or rashes, oral ulcers, IBD (Inflammatory bowel disease)like intestinal inflammation, and perianal ulcers), and joints, which may be accompanied by recurrent fever. Only one case exhibited defined autoimmune manifestations [4], and two case showed increased susceptibility to infections, and cancer [5]. ...

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... We further analysed various types of immune cell infiltration in the Control and NEC groups, respectively. Subsequently, we found the infiltration of some immune cells like neutrophils, monocytes, M1 macrophages, activated mast cells, and eosinophils was increased in the NEC gut, consistent with the previous studies (19)(20)(21)(22)(23)(24). However, the role of adaptive immunity, especially T cells, in NEC has been controversial (25,26). ...

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