Perineuronal nets decrease membrane capacitance of peritumoral fast spiking interneurons in a model of epilepsy
Open accessAbstract
Brain tumor patients commonly present with epileptic seizures. We show that tumor-associated seizures are the consequence of impaired GABAergic inhibition due to an overall loss of peritumoral fast spiking interneurons (FSNs) concomitant with a significantly reduced firing rate of those that remain. The reduced firing is due to the degradation of perineuronal nets (PNNs) that surround FSNs. We show that PNNs decrease specific membrane capacitance of FSNs permitting them to fire action potentials at supra-physiological frequencies. Tumor-released proteolytic enzymes degrade PNNs, resulting in increased membrane capacitance, reduced firing, and hence decreased GABA release. These studies uncovered a hitherto unknown role of PNNs as an electrostatic insulator that reduces specific membrane capacitance, functionally akin to myelin sheaths around axons, thereby permitting FSNs to exceed physiological firing rates. Disruption of PNNs may similarly account for excitation-inhibition imbalances in other forms of epilepsy and PNN protection through proteolytic inhibition may provide therapeutic benefits.
AI snapshot
Written from the paper’s full text.
TL;DR
In a patient-derived glioma mouse model, peritumoral fast-spiking interneurons (FSNs) lose perineuronal nets (PNNs) through tumor-released MMPs, increasing membrane capacitance and reducing firing. PNNs act as an electrostatic insulator that lowers specific membrane capacitance, allowing FSNs to sustain supra-physiological firing; MMP inhibition preserves PNNs and FSN excitability.
Key findings
- Peritumoral cortex within 0.6 mm showed distance-dependent neuronal loss: NeuN+ density at 0.0–0.2 mm was 9.25 ± 1.63 vs contralateral 25.41 ± 0.68 and sham 26.12 ± 0.94; PV+ density at 0.0–0.2 mm was 0.58 ± 0.1 vs contralateral 2.52 ± 0.15 and sham 2.6 ± 0.25; WFA+ PNN density at 0.0–0.2 mm was 0.87 ± 0.16 vs contralateral 2.75 ± 0.13 and sham 2.78 ± 0.17.
- Glioma-released gelatinases/MMPs degraded PNNs: gelatinase activity was higher in glioma mass (1851.47 ± 120.17) and PTC than sham (669.96 ± 34.56); the MMP inhibitor GM6001 reduced gelatinase activity and preserved PNN structure, with more WFA peaks in PNNs (GM6001 15.16 ± 0.65 vs GBM22 7.08 ± 0.63).
- Peritumoral FSNs had higher membrane capacitance (43.84 ± 3.74 pF) than contralateral (28.82 ± 2.14 pF) and sham (30.11 ± 1.99 pF), and firing frequency was reduced by ~50%; GM6001 restored FSN capacitance (28.27 ± 1.36 pF) and input–output curves toward sham.
- ChABC digestion of PNNs phenocopied the FSN changes: capacitance increased ~20–25%, maximal firing frequency fell ~20%, and real-time ChABC increased Cm from 43.53 ± 2.70 to 55.76 ± 3.43 pF while max AP frequency fell from 406.62 ± 14.39 to 322.5 ± 30.27 Hz; PNN degradation also shortened latency to ictal-like activity (control 73.67 ± 6.69 min vs ChABC 38.83 ± 3.40 min).
Methods
- Patient-derived glioma xenolines GBM22 (glutamate-releasing via SXC) and GBM14 (non-glutamate-releasing) were implanted into C.B.17 scid mouse cortex; sham and contralateral controls were used, along with an astrocyte-specific β1-integrin knockout mouse model of astrogliosis and GM6001 MMP-inhibitor treatment.
- Immunohistochemistry and confocal imaging quantified NeuN, PV, WFA-labeled PNNs, and GFAP; in situ zymography measured MMP-2/9 gelatinase activity; PNN integrity was assessed by WFA intensity and line-profile peak counts.
- Acute slice patch-clamp electrophysiology recorded excitatory neurons and FSNs, with Lucifer yellow postrecording identification; PNNs were digested with ChABC, and Hodgkin–Huxley/Neuronify modeling plus ANOVA/t-tests were used for analysis.
Limitations
- Stated in the paper: experimental limitations including incubation duration and low enzymatic activity prevented sufficient PNN degradation using an MMP cocktail, so ChABC was used instead.
- Stated in the paper: PNN degradation may also alter synaptic activity and network excitability beyond the membrane-capacitance mechanism, and additional studies are warranted.
- Evident from the text: the core evidence comes from mouse glioma models and acute slices, not human tissue; ChABC degrades CSPGs broadly rather than only PNNs, and some mechanistic links between tumor-released MMPs and PNN loss rely on spatial correlation plus inhibitor rescue rather than direct causal isolation.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 52 cited sources checked · 0 supported · 0 flagged
- Findingown data
The reduced firing frequency of FSNs in GBM22 PTC is not due to altered Vm, as clamping at −60, −65, or −70 mV does not change their firing frequency.
“This was not due to altered Vm of FSNs in GBM22 PTC as clamping them at −60, −65, or −70 mV did not change their firing frequency (Supplementary Fig. 5a).”
Quote in the paperSubstantial claim - Findingnone given
Peritumoral PNN degradation is primarily attributed to glioma-released MMPs (MMP-2, MMP-3, and MMP-9).
“As our results attribute peritumoral PNN degradation primarily to glioma-released MMPs (MMP-2, MMP-3, and MMP-9), we used a cocktail of these MMPs to degrade PNNs experimentally.”
Quote in the paperSubstantial claim - Findingown data
Peritumoral FSNs show significantly higher membrane capacitance (Cm).
“but showed significantly higher Cm (Fig. 6h).”
Quote in the paperSubstantial claim - Findingown data
Spike frequency in GBM22 contralateral half remains similar to sham.
“Spike frequency in GBM22 contralateral half remained similar to sham (Supplementary Fig. 4e).”
Quote in the paperNot a substantial claim - Findingown data
Peritumoral FSNs are depolarized.
“Peritumoral FSNs were similarly depolarized (Fig. 6g)”
Quote in the paperNot a substantial claim
- Findingown data
PV+ neurons show an even greater distance-dependent decrease in density, with >5-fold decrease in the closest proximity of tumor.
“and showed even greater distance-dependent decrease in density with >5-fold decrease in the closest proximity of tumor (Fig. 1c).”
Quote in the paperSubstantial claim - Findingown data
NeuN+ cells show ~3-fold lower density in the immediate tumor vicinity than in contralateral or sham-injected controls.
“NeuN+ cells showed ~3-fold lower density in the immediate tumor vicinity than that in contralateral or sham-injected controls (Fig. 1a, b).”
Quote in the paperSubstantial claim - Findingown data
Glu-releasing GBM22 tumors decrease NeuN+ cells to ~50-60% within 0.2-0.6 mm PTC.
“whereas the Glu-releasing tumors (GBM22) decreased NeuN+ cells to ~50–60% within 0.2–0.6 mm PTC.”
Quote in the paperSubstantial claim - Findingown data
PTC neurons are significantly depolarized.
“PTC neurons were also significantly depolarized (Fig. 6a)”
Quote in the paperSubstantial claim - Findingown data
No other properties of FSNs except Vm were altered by ChABC-mediated PNN digestion.
“No other properties except Vm (Supplementary Fig. 6c) were altered.”
Quote in the paperNot a substantial claim - Findingown data
GBM14 PTC shows no significant loss of PV+ interneurons in the >0.2 mm PTC.
“GBM14 PTC showed no significant loss of PV+ interneurons in the >0.2 mm PTC (Fig. 3a, b)”
Quote in the paperSubstantial claim - Findingown data
Gelatinase activity is significantly higher in glioma cells than in peritumoral cortical cells.
“Further, gelatinase activity was significantly higher in glioma cells than in peritumoral cortical cells.”
Quote in the paperSubstantial claim - Findingown data
A gradient of PNN degradation is observed in the PTC, with intact PNNs only at >0.4 mm PTC and damaged, fragmented PNNs closer to the tumor.
“The gradient of PNN degradation was also observed in the PTC as intact PNNs were only observed at >0.4 mm PTC, while in closer proximity, the PNNs appeared damaged, fragmented, and often limited to the cell body and no longer containing a cell (Fig. 2a, Supplementary Fig. 1d).”
Quote in the paperSubstantial claim - Findingown data
Gelatinase activity is higher in glioma-injected than in sham-treated brain slices.
“Our data show higher gelatinase activity in glioma-injected than in sham-treated brain slices (Fig. 5a, b).”
Quote in the paperSubstantial claim - Findingown data
Electrophysiological attributes of FSNs with disintegrated PNNs in the PTC of GBM22 and GBM14 are identical.
“In essence, electrophysiological attributes of FSNs with disintegrated PNNs (Supplementary Fig. 3c) in the PTC of GBM22 and GBM14 (Fig. 6g−l and Supplementary Fig. 4d) were identical.”
Quote in the paperSubstantial claim - Findingown data
Blocking glutamatergic neurotransmission by APV and CNQX does not change firing frequency of FSNs in GBM22 PTC.
“This was substantiated by observing no change in firing frequency of FSNs in GBM22 PTC after blocking glutamatergic neurotransmission by APV and CNQX (Supplementary Fig. 5c).”
Quote in the paperSubstantial claim - Findingown data
Basal gelatinase activity in sham and contralateral hemisphere is significantly lower than that in the PTC and glioma mass.
“Basal gelatinase activity in sham and contralateral hemisphere was significantly lower than that in the PTC and glioma mass (Fig. 5b, Supplementary Fig. 2b).”
Quote in the paperSubstantial claim - Findingown data
The threshold current of excitatory neurons in GM6001-treated PTC was identical to their nontreated counterparts.
“however, Cm, Rin, and threshold current were identical to their nontreated counterparts (Fig. 7h−j).”
Quote in the paperSubstantial claim - Findingown data
GM6001-treated mice show a higher number of PNNs in the PTC.
“GM6001-treated mice showed a higher number of PNNs in the PTC (Fig. 5e)”
Quote in the paperSubstantial claim - Findingown data
Firing frequencies of FSNs in both GBM22 and GBM14 PTCs are reduced by ~50% compared to sham.
“Most importantly, the firing frequencies of FSNs in both GBM22 and GBM14 PTCs were reduced by ~50% compared to sham (Fig. 6k).”
Quote in the paperSubstantial claim - Findingown data
PTC neurons have significantly higher firing frequency (input−output curve).
“and had a significantly higher firing frequency (input−output curve) (Fig. 6e, f).”
Quote in the paperSubstantial claim - Findingown data
The peritumoral cortex within 0.6 mm of tumor is plagued by excitotoxic neuronal cell death, particularly of FSNs.
“we show that the peritumoral cortex (PTC) within 0.6 mm of tumor is plagued by excitotoxic neuronal cell death particularly FSNs.”
Quote in the paperSubstantial claim - Findingown data
Firing frequency of FSNs in sham remains unaltered at −60, −65, or −70 mV.
“Similarly, firing frequency of FSNs in sham remained unaltered at −60, −65, or −70 mV (Supplementary Fig. 5a).”
Quote in the paperNot a substantial claim - Findingown data
There is no correlation between lowered firing frequency of FSNs and glutamate-releasing capability of GBM14 and GBM22.
“In addition, there was no correlation between lowered firing frequency of FSNs and glutamate-releasing capability of GBM14 and GBM22.”
Quote in the paperSubstantial claim - Findingown data
The Cm of excitatory neurons in ChABC-treated slices was unaltered compared with control.
“Unaltered Cm of excitatory neurons in (lower right) ChABC-treated slices (66.84 ± 10.51, n = 8 (6)) than in control (73.93 ± 6.95, n = 27(8)).”
Quote in the paperNot a substantial claim - Findingown data
WFA+/PV+ interneurons are significantly more affected than other PTC neurons, particularly within 0.2-0.6 mm PTC.
“These data suggest that while the cell density of all PTC neurons was gradually decreased as approaching the tumor, WFA+/PV+ interneurons was significantly more affected, particularly within 0.2–0.6 mm PTC.”
Quote in the paperSubstantial claim - Findingown data
Peritumoral excitatory neurons often show spontaneous epileptiform discharges, rarely observed in contralateral and shams.
“Peritumoral excitatory neurons often showed spontaneous epileptiform discharges (Supplementary Fig. 4a), rarely observed in contralateral and shams.”
Quote in the paperNot a substantial claim - Findingown data
The recorded FSNs in the PTC of GM6001-treated mice showed largely intact perineuronal nets (PNNs) compared with the nontreated group.
“The recorded FSNs also showed largely intact PNNs in the PTC of GM6001-treated group compared to the nontreated group (Supplementary Fig. 3c).”
Quote in the paperSubstantial claim - Findingown data
The Cm of excitatory neurons in GM6001-treated PTC remained unaltered compared with nontreated PTC and sham.
“Cm of excitatory neurons in GM6001-treated PTC remained unaltered (PTC, 72.90 ± 8.92, n = 17(10); GM6001-treated PTC, 67.00 ± 6.95, n = 26(8); sham, 73.93 ± 6.95, n = 27(10)).”
Quote in the paperNot a substantial claim - Findingown data
PNN disintegration is evident by significantly lower WFA intensity within ~0.6 mm PTC.
“Corroborating our IHC data, PNN disintegration was evident by significantly lower WFA intensity within ~0.6 mm PTC (Fig. 5c).”
Quote in the paperSubstantial claim - Findingown data
GM6001 treatment did not alter the input resistance (Rin) of fast-spiking interneurons (FSNs) in the peritumoral cortex (PTC) compared with nontreated GBM22 PTC and sham.
“Unaltered Rin of FSNs in GM6001-treated PTC (219.90 ± 15.69, n = 20(5)) compared to GBM22 PTC (249.10 ± 17.65, n = 13(9)) and sham (252.64 ± 35.30, n = 13(7)).”
Quote in the paperNot a substantial claim - Findingcitation
PNNs are intact in an astrocyte-specific beta integrin knockout (β1−/−) mouse, a genetic model of astrogliosis and spontaneous seizures.
“Secondly, PNNs are intact in an astrocyte-specific beta integrin knockout (β1−/−) mouse (Fig. 4d−g, Supplementary Fig. 1e), which is a genetic model of astrogliosis and spontaneous seizures31.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] Robel, S. et al. Reactive astrogliosis causes the development of spontaneous seizures. J. Neurosci. 35, 3330–3345 (2015). source
Not checked in the free run.
- Findingown data
ChABC-mediated digestion of PNNs in control cortical slices increased the Cm of FSNs by ~20%.
“Higher Cm (lower right) of FSNs in ChABC-treated slices (39.87 ± 3.56, n = 12(6)) than in control (30.11 ± 1.99, n = 15(8)).”
- Also stated in: § PNNs modulate firing of FSNs · plain
“ChABC-mediated digestion of PNNs in control cortical slices profoundly changed the biophysical properties of FSNs (Fig. 8a) by essentially phenocopying that of FSNs in the PTC; notably ~50% decrease in firing frequency and ~20% increase in Cm (Fig. 8a).”
Quote in the paperSubstantial claim - Also stated in: § PNNs modulate firing of FSNs · plain
- Findingown data
PTC neurons show lower firing threshold (minimum current required to elicit an action potential).
“They also showed lower firing threshold i.e., minimum current required to elicit an action potential (Fig. 6d)”
Quote in the paperSubstantial claim - Findingown data
ChABC-mediated digestion of PNNs in control cortical slices decreased the firing frequency of FSNs by ~50%.
“ChABC-mediated digestion of PNNs in control cortical slices profoundly changed the biophysical properties of FSNs (Fig. 8a) by essentially phenocopying that of FSNs in the PTC; notably ~50% decrease in firing frequency and ~20% increase in Cm (Fig. 8a).”
- Also stated in: § PNNs modulate firing of FSNs · plain
“Reduced AP frequency of FSNs in (lower left) ChABC-treated slices (n = 8(6)) than in control (n = 10(7)).”
Quote in the paperSubstantial claim - Also stated in: § PNNs modulate firing of FSNs · plain
- Findingown data
GM6001 treatment did not alter the threshold current of FSNs in the PTC compared with nontreated PTC and sham.
“Threshold current of FSNs remained unaltered in GM6001-treated PTC (120.76 ± 8.96, n = 13(5)) compared to nontreated PTC (82.75 ± 11.49, n = 8(6)) and sham (87.25 ± 16.06, n = 8(5)).”
Quote in the paperNot a substantial claim - Findingown data
Peritumoral reactive astrocytes do not show detectable MMPs/gelatinase activity.
“Thirdly, peritumoral reactive astrocytes did not show detectable MMPs/gelatinase activity (Supplementary Fig. 2a).”
Quote in the paperSubstantial claim - Findingown data
The highest spike frequency sustained by FSNs is not significantly different at any holding Vm tested.
“Also, the highest spike frequency sustained by FSNs was not significantly different at any holding Vm tested (Supplementary Fig. 5a right).”
Quote in the paperNot a substantial claim - Findingown data
During real-time PNN degradation by ChABC, the maximal AP frequency of FSNs decreased significantly.
“max AP frequency (T = 0, 406.62 ± 14.39; T = 50, 322.5 ± 30.27, n = 8(6)) changed significantly.”
- Also stated in: § PNNs modulate firing of FSNs · plain
“The firing frequency of individual FSNs after ChABC superfusion (Fig. 8c right) was significantly reduced particularly with stronger stimulation where the maximal firing frequency was reduced by ~20% (Fig. 8e);”
Quote in the paperSubstantial claim - Also stated in: § PNNs modulate firing of FSNs · plain
- Findingown data
The MMP inhibitor GM6001 restores normal excitability of FSNs by preventing PNN degradation.
“Similarly, we show that the MMP inhibitor GM6001 restores normal excitability of FSN by preventing PNN degradation.”
Quote in the paperSubstantial claim - Findingown data
FSNs with only ACSF superfusion retained Vm throughout recordings.
“FSNs with only ACSF superfusion retained the Vm throughout recordings (Supplementary Fig. 8a, b).”
Quote in the paperNot a substantial claim - Findingown data
The Rin of excitatory neurons did not change after 50 min ChABC treatment.
“However, their Rin (Supplementary Fig. 8c, left) and Cm (Supplementary Fig. 8c, third from left) did not show any change.”
Quote in the paperNot a substantial claim - Findingown data
During real-time PNN degradation by ChABC, the Cm of FSNs increased significantly.
“however, Cm (T = 0, 43.53 ± 2.70; T = 50, 55.76 ± 3.43; n = 9(6)) and max AP frequency (T = 0, 406.62 ± 14.39; T = 50, 322.5 ± 30.27, n = 8(6)) changed significantly.”
- Also stated in: § PNNs modulate firing of FSNs · plain
“However, Cm of FSNs increased ~25% on ChABC treatment (Fig. 8c middle) as evident from an increased membrane time constant (Fig. 8d) without changing membrane resistance (Fig. 8c left, Supplementary Fig. 8d).”
Quote in the paperSubstantial claim - Also stated in: § PNNs modulate firing of FSNs · plain
- Findingown data
The AP frequency of excitatory neurons in ChABC-treated slices was higher than in nontreated controls.
“Higher AP frequency (lower left) of excitatory neurons in ChABC-treated slices (n = 22(8)) than in nontreated controls (n = 36(10)).”
Quote in the paperNot a substantial claim - Findingown data
During real-time PNN degradation by ChABC, the Rin of FSNs remained unaltered.
“Rin (T = 0, 175.05 ± 14.60; T = 50, 177.83 ± 14.93; n = 9(7)) remained unaltered; however, Cm (T = 0, 43.53 ± 2.70; T = 50, 55.76 ± 3.43; n = 9(6)) and max AP frequency (T = 0, 406.62 ± 14.39; T = 50, 322.5 ± 30.27, n = 8(6)) changed significantly.”
Quote in the paperSubstantial claim - Findingown data
The Cm of excitatory neurons did not change after 50 min ChABC treatment.
“However, their Rin (Supplementary Fig. 8c, left) and Cm (Supplementary Fig. 8c, third from left) did not show any change.”
Quote in the paperNot a substantial claim - Findingown data
Damaged PNNs were discovered in conjunction with PV interneuron loss in the PTC.
“By using WFA as a PNN marker that enwrap PV interneurons, we unexpectedly discovered damaged PNNs in conjunction with PV interneuron loss in the PTC.”
Quote in the paperSubstantial claim - Findingown data
In the Neuronify model, reducing specific membrane capacitance by 25% increased AP numbers by ~30% at 100 Hz and ~50% at 40 Hz stimulation.
“Reducing specific membrane capacitance by 25%, showed ~30 and ~50% increase in the APs numbers, upon stimulation with a random pattern generator at 100 and 40 Hz, respectively (Supplementary Fig. 9c).”
Quote in the paperSubstantial claim- Rests on an assumption: The first-order Hodgkin−Huxley approximation and Neuronify model with identical electrical properties adequately represent the biophysical behavior of FSNs.
- Findingown data
Electrophysiological properties of FSNs during ACSF superfusion did not change.
“Electrophysiological properties of FSNs during ACSF superfusion did not change. Rin (T = 0, 156.07 ± 8.96; T = 50, 158.98 ± 9.94; n = 9(6)), Cm (T = 0, 38.74 ± 3.51; T = 50, 39.33 ± 3.75; n = 9(6)), and AP frequency (T = 0, 368 ± 20.90; T = 50, 364.5 ± 18.83; n = 8(6)).”
Quote in the paperSubstantial claim - Findingown data
Removal of Mg2+ from ACSF leads to gradual appearance of short (<200 ms) interictal-like events followed by delayed longer lasting (>2 s) ictal-like discharges.
“This leads to a gradual appearance of short (<200 ms) interictal-like events in both current (Fig. 9a) and voltage (Fig. 9b−d) clamp recordings, followed by delayed appearance of longer lasting (>2 s) ictal-like discharges (Fig. 9b, e).”
Quote in the paperSubstantial claim - Findingown data
FSNs did not change Vm upon ChABC application or during 50 min treatment.
“FSNs did not change Vm either upon ChABC application or during 50 min treatment; however, they showed occasional spontaneous APs and 2–3 mV fluctuations in Vm (Supplementary Fig. 8a, b).”
Quote in the paperNot a substantial claim - Findingown data
Disintegration of perineuronal nets (PNNs) was reliably found within approximately 0.5 mm of the tumor border, as evident by immunohistochemical staining results.
“As evident by our immunohistochemical staining results, disintegration of PNNs was reliably found within ~0.5 mm of the tumor border.”
Quote in the paperSubstantial claim - Premisecitation
The remaining GABAergic neurons in peritumoral brain show a significantly reduced inhibitory potential.
“the remaining GABAergic neurons show a significantly reduced inhibitory potential.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [3] Campbell, S. L. et al. GABAergic disinhibition and impaired KCC2 cotransporter activity underlie tumor‐associated epilepsy. Glia 63, 23–36 (2015). source
Not checked in the free run.
- cites [5] Pallud, J. et al. Cortical GABAergic excitation contributes to epileptic activities around human glioma. Sci. Transl. Med. 6, 244ra289 (2014). source
Not checked in the free run.
- Interpretationreasoning
The reduced firing of peritumoral FSNs is due to the degradation of perineuronal nets (PNNs) that surround FSNs.
“The reduced firing is due to the degradation of perineuronal nets (PNNs) that surround FSNs.”
Quote in the paperSubstantial claim - Premisecitation
The peritumoral brain shows approximately 35% reduction in the density of fast spiking GABAergic interneurons.
“the peritumoral brain shows ~35% reduction in the density of fast spiking GABAergic interneurons3”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] Campbell, S. L. et al. GABAergic disinhibition and impaired KCC2 cotransporter activity underlie tumor‐associated epilepsy. Glia 63, 23–36 (2015). source
Not checked in the free run.
- Interpretationown data
Gliomas degrade PNNs without any predilection for PV+ interneurons.
“suggesting that gliomas degrade PNNs without any predilection for PV+ interneurons.”
Quote in the paperSubstantial claim - Interpretationown data
PNN degradation is a major contributor to the loss of GABAergic inhibition in glioma-associated epilepsy.
“implicating PNN degradation as a major contributor to the loss of GABAergic inhibition in glioma-associated epilepsy.”
Quote in the paperSubstantial claim - Interpretationreasoning
PV+ interneurons are significantly decreased in number in the peritumoral cortex.
“leading us to conclude that PV+ interneurons are significantly decreased in number in the PTC.”
Quote in the paperSubstantial claim - Interpretationown data
The presence of glioma induces increased MMPs activity that degrades peritumoral PNNs.
“These data suggest that the presence of glioma induces increased MMPs activity that degrades peritumoral PNNs.”
Quote in the paperSubstantial claim - Interpretationreasoning
FSNs in the peritumoral cortex show degraded PNNs caused by the proteolytic activity of MMPs released from the tumor.
“Furthermore, FSNs in the PTC show degraded PNNs caused by the proteolytic activity of MMPs released from the tumor.”
Quote in the paperSubstantial claim - Premisecitation
Gliomas release several ECM remodeling/degrading enzymes including MMPs, for which PNN proteoglycans are known substrates.
“Gliomas release several ECM remodeling/degrading enzymes28 including MMPs29, for which PNN proteoglycans are known substrates21”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [28] Rao, J. S. Molecular mechanisms of glioma invasiveness: the role of proteases. Nat. Rev. Cancer 3, 489–501 (2003). source
Not checked in the free run.
- cites [29] Stern, R. Hyaluronidases in cancer biology. Semin. Cancer Biol. 18, 275–280 (2008). source
Not checked in the free run.
- cites [21] Mentlein, R., Hattermann, K. & Held-Feindt, J. Lost in disruption: Role of proteases in glioma invasion and progression. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer 1825, 178–185 (2012). source
Not checked in the free run.
- Interpretationreasoning
FSNs in the PTC are intrinsically less excitable than their counterparts in the sham.
“Therefore, FSNs in the PTC are intrinsically less excitable than their counterparts in the sham.”
Quote in the paperSubstantial claim - Interpretationown data
Absence of gelatinase activity in reactive astrocytes rules them out as the primary source of MMPs.
“PTC also exhibited reactive astrogliosis; however, an absence of gelatinase activity in reactive astrocytes ruled them out as the primary source of MMPs (Supplementary Fig. 2a).”
Quote in the paperSubstantial claim - Premisecitation
PNN constituents are substrates for matrix degrading enzymes including MMPs, ADAMs, and ADAMTs, which are known to be released from gliomas.
“Interestingly, PNNs constituents are also substrates for matrix degrading enzymes including matrix metalloproteinases (MMPs), a disintegrin and metalloproteinase (ADAMs) and a disintegrin and metalloproteinase with thrombospondin motifs (ADAMTs), which are known to be released from gliomas21”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [21] Mentlein, R., Hattermann, K. & Held-Feindt, J. Lost in disruption: Role of proteases in glioma invasion and progression. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer 1825, 178–185 (2012). source
Not checked in the free run.
- Premisecitation
Degrading PNNs using ChABC decreases the threshold for PTZ-induced myoclonic seizures.
“Moreover, consistent with our own findings, degrading PNNs using ChABC decreases the threshold for PTZ-induced myoclonic seizures44.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [44] Rankin‐Gee, E. K. et al. Perineuronal net degradation in epilepsy. Epilepsia 56, 1124–1133 (2015). source
Not checked in the free run.
- Interpretationown data
No spatial correlation between reactive astrocytes and degraded PNNs suggests glioma is the primary source of ECM remodeling agents.
“However, no spatial correlation between reactive astrocytes and degraded PNNs suggests glioma being the primary source of ECM remolding agents.”
Quote in the paperSubstantial claim - Premisecitation
Depletion of brain hyaluronic acid, an important constituent of PNNs, generates spontaneous seizures in cats.
“In addition, depletion of brain hyaluronic acid, which is an important constituent of PNNs, has been shown to generate spontaneous seizures in cats45.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [45] Young, I. J. Reversible seizures produced by neuronal hyaluronic acid depletion. Exp. Neurol. 8, 195–202 (1963). source
Not checked in the free run.
- Interpretationown data
PNN loss is sufficient to facilitate the development of epileptiform hyperexcitability.
“These results support the notion that the PNN loss is sufficient to facilitate the development of epileptiform hyperexcitability.”
Quote in the paperSubstantial claim - Interpretationcitation
Other forms of epilepsies may similarly involve a dysfunction of PNNs.
“We suggest that other forms of epilepsies may similarly involve a dysfunction of PNNs.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The dielectric shielding of the membrane that reduces effective membrane capacitance allows FSNs to achieve supra-physiological discharge frequencies.
“The dielectric shielding of the membrane that reduces the effective membrane capacitance allows FSNs to achieve supra-physiological discharge frequencies.”
Quote in the paperNot a substantial claim - Premisecitation
A number of seizure models show downregulation of the PNN components aggrecan, hyaluronan and proteoglycan link protein 1 (HAPLN1) and hyaluronan synthease-3.
“Indeed a number of seizure models show downregulation of the PNN components aggrecan, hyaluronan and proteoglycan link protein 1 (HAPLN1) and hyaluronan synthease-343.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] McRae, P. A., Baranov, E., Rogers, S. L. & Porter, B. E. Persistent decrease in multiple components of the perineuronal net following status epilepticus. Eur. J. Neurosci. 36, 3471–3482 (2012). source
Not checked in the free run.
- Interpretationown data
In glioma-associated seizures, the change in specific membrane capacitance upon destruction of PNNs appears to be the major factor accounting for enhanced seizure activity.
“Our experimental data including recording membrane capacitance during real-time digestion of PNNs combined with our in silico modeling studies suggest that, in the case of glioma-associated seizures, the change in specific membrane capacitance upon destruction of the PNNs appears to be the major factor accounting for the enhanced seizure activity.”
Quote in the paperSubstantial claim- Rests on an assumption: The first-order Hodgkin−Huxley approximation and Neuronify model with identical electrical properties adequately represent the biophysical behavior of FSNs.
- Interpretationreasoning
PNN increases the separation distance between the conducting extracellular and intracellular fluid compartments.
“We theorize that PNN increases the separation distance between the conducting extracellular and intracellular fluid compartments.”
Quote in the paperNot a substantial claim - Premisecitation
PNNs around hippocampal PV neurons may attribute their relative higher propagation velocity of action potential with rare failure than principal neurons under comparable conditions.
“Indeed, PNNs around hippocampal PV neurons may attribute their relative higher propagation velocity of action potential with rare failure than that of principle neurons under comparable condition37.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [37] Dragly, S.-A. et al. Neuronify: an educational simulator for neural circuits . eNeuro 4, ENEURO.0022-17.2017 (2017). source
Not checked in the free run.
- May combine two claims. 57
- Classified as probably not a substantial claim. 25
- The quote only partly states this claim. 1
May combine two claims.
Findingown dataGBM14 implantation nullifies changes in firing threshold and Vm of PTC neurons, with no apparent difference to sham or contralateral brains.
“This indeed nullified the changes in firing threshold and Vm with no apparent difference to sham or contralateral brains (Fig. 6e, Supplementary Fig. 4b, c).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe membrane capacitance (Cm) of FSNs in GM6001-treated PTC was lower than in nontreated PTC but similar to sham.
“Lower Cm of FSNs in the PTC of GM6001-treated (28.27 ± 1.36, n = 20(5)) than nontreated (43.84 ± 3.74, n = 13(8)), but similar to sham (30.11 ± 1.99, n = 15(6)).”
- Also stated in: § Biophysical changes in peritumoral neurons · boosted
“Most importantly, FSNs in GM6001-treated mice brain slices showed profound differences in Cm and input−output curves, and both were essentially identical to the sham (Fig. 7b, e, f).”
Quote in the paperSubstantial claim- Also stated in: § Biophysical changes in peritumoral neurons · boosted
May combine two claims.
Findingown dataIn GBM14, WFA staining shows largely intact PNNs even in close proximity to the tumor (0.2-0.4 mm), whereas in GBM22, PNNs are largely degraded.
“In GBM14, WFA staining showed largely intact PNNs even in close proximity to the tumor (0.2–0.4 mm), whereas in GBM22, PNNs were largely degraded (Fig. 3a, c).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe Rin of excitatory neurons in GM6001-treated PTC was not significantly different from nontreated PTC but was different from sham.
“Input resistance (Rin) of excitatory neurons in GM6001-treated PTC (244.64 ± 9.24, n = 27(6)) was not significantly different than in nontreated PTC (288.18 ± 15.82, n = 23(10)), but than in sham (298.63 ± 14.47, n = 39(10)).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataGM6001-treated mice retain structural integrity of PNNs in the PTC, as evident by PNNs around cell body and proximal dendrites, more WFA peaks, and higher WFA intensity compared to sham-treated mice.
“Indeed, GM6001-treated mice retained structural integrity of PNNs in the PTC (Fig. 5f−i) as evident by the presence of PNNs around cell body and proximal dendrites (Fig. 5f, middle panels), more WFA peaks (Fig. 5g, h), and higher WFA intensity (Fig. 5i) compared to sham-treated mice.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGM6001 treatment reduces gelatinase activity within the glioma and in the PTC.
“Confirming our prediction, GM6001 treatment reduced gelatinase activity within the glioma (Fig. 5a, middle panels) and in the PTC (Fig. 5d).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe PTC in close proximity to the tumor (<0.3 mm) shows disintegrated PNNs surrounded by highly reactive astrocytes, while essentially intact PNNs are observed around equally high GFAP-expressing astrocytes in more distal (>0.6 mm) PTC.
“while the PTC in close proximity to the tumor (<0.3 mm) showed disintegrated PNNs surrounded by highly reactive astrocytes (Fig. 4a (bottom square), Fig. 4b, c), we observed essentially intact PNNs around equally high GFAP (glial fibrillary acidic protein) expressing astrocytes in more distal (>0.6 mm) PTC (Fig. 4a (top square), 4b, c).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe action potential (AP) frequency of FSNs in GM6001-treated PTC was higher than in nontreated PTC but not higher than in sham.
“Higher AP frequency of FSNs in GM6001-treated PTC (n = 12(5)) than in nontreated PTC (n = 18(11)) but not than in sham (n = 10(7)).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWFA intensity peaks are significantly reduced in the line profile of peritumoral PNNs, indicating large holes in the PNN.
“We confirmed the same by observing significant reduction in the WFA intensity peaks (see methods) in the line profile of peritumoral PNNs, an indicative of large holes in the PNN (Fig. 2c−e).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMembrane capacitance and input resistance of PTC neurons remain unaffected.
“however, their membrane capacitance (Cm) and input resistance (Rin) remained unaffected (Fig. 6b, c).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe resting membrane potential (Vm) of FSNs in GM6001-treated PTC was not significantly different from nontreated GBM22 PTC but was significantly different from sham.
“Unaltered resting membrane potential (Vm) of FSNs in the PTC of GM6001-treated (62.88 ± 1.40, n = 18(5)) than in nontreated (GBM22) PTC (61.67 ± 1.01, n = 12(8)), but significantly different than in sham (69.85 ± 0.67, n = 7(6)).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe gradient of NeuN+ cell loss extends up to 0.6 mm from the tumor margin, with significantly lower cell density compared to sham and contralateral brains.
“The gradient of NeuN+ cell loss was observed up to 0.6 mm from the tumor margin, the furthest distance evaluated, with significantly lower cell density compared to sham and contralateral brains (Fig. 1a).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataExcitatory neurons in GM6001-treated PTC were depolarized relative to nontreated PTC and had Vm similar to sham.
“Resting membrane potential (Vm) of excitatory neurons in GM6001-treated PTC (66.62 ± 0.77, n = 27(8)) remained similar to sham (67.02 ± 0.38, n = 98(15)), but was significantly higher than the nontreated PTC (61.49 ± 0.86, n = 80(11)).”
- Also stated in: § Biophysical changes in peritumoral neurons · plain
“Excitatory neurons in GM6001-treated PTC were depolarized (Fig. 7g);”
Quote in the paperNot a substantial claim- Also stated in: § Biophysical changes in peritumoral neurons · plain
May combine two claims.
Findingown dataThe input−output curve of excitatory neurons in GM6001-treated PTC showed lower excitability with small current injections, similar to sham, but somewhat increased excitability with larger current injections than sham.
“Moreover, the input−output curve showed a lower excitability with small current injections, similar to that of sham, yet still showed somewhat increased excitability with larger current injections than sham (Fig. 7k, l).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataExcitatory neurons gradually depolarized during ChABC superfusion.
“Excitatory neurons gradually depolarized during ChABC superfusion (Supplementary Fig. 8a, b (right)), a phenomenon we did not study further.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the Hodgkin−Huxley simulation, maximal firing rate increased nonlinearly with increasing stimulation and decreased progressively with increasing specific membrane capacitance.
“Maximal firing rate (z-axis) increased nonlinearly with increasing stimulation (y-axis), and decreased progressively with increasing specific membrane capacitance (x-axis).”
Quote in the paperSubstantial claim- Rests on an assumption: The first-order Hodgkin−Huxley approximation and Neuronify model with identical electrical properties adequately represent the biophysical behavior of FSNs.
May combine two claims.
Findingown dataThere is a 2-5-fold decrease in PV interneuron density within 0.6 mm of glutamate-releasing tumor, suggesting excitotoxic loss.
“In agreement with prior studies, we observed a 2–5-fold decrease in the PV interneurons density within 0.6 mm of glutamate-releasing tumor suggesting their excitotoxic loss.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataChABC pretreatment significantly shortened the latency of ictal-like events but not interictal-like events.
“ChABC pretreatment significantly shortened the latency of ictal-like events (Fig. 9e−g) but not interictal-like events (Fig. 9f).”
- Also stated in: § PNN degradation facilitates cortical epileptiform activity · plain
“ictal-like activity (control, 73.67 ± 6.69 min, n = 12(6); ChABC-treated, 38.83 ± 3.40 min, n = 8(5); ***P < 0.001, Welch's t test).”
Quote in the paperSubstantial claim- Also stated in: § PNN degradation facilitates cortical epileptiform activity · plain
May combine two claims.
Findingown dataSurviving PV interneurons show ~50% reduction in firing frequency, a phenomenon independent of tumor-released Glu.
“Interestingly, the surviving PV interneurons show ~50% reduction in firing frequency, a phenomenon that was independent of the tumor-released Glu.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPeritumoral excitatory neurons are significantly depolarized, have a reduced activation threshold and increased discharge frequency, but only when proximal to a tumor that expresses the Glu-releasing SXC transporter.
“Prior studies had already implicated the assiduous release of Glu from the tumor as instrumental, and we indeed find that peritumoral excitatory neurons are significantly depolarized, have a reduced activation threshold and increased discharge frequency but only when proximal to a tumor that expresses the Glu-releasing SXC transporter.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAction potential amplitudes shortened as firing frequency increased.
“We observed that the amplitudes of APs shortened as the firing frequency increased; therefore, we set a minimum 15 mV deflection from the steady-state response as a qualifying criterion for a spike to be identified as an AP.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe saturating/maximum firing frequency supported by fast-spiking neurons (FSNs) in the experimental conditions was achieved by injecting 400-500 pA.
“The observed saturating/maximum firing frequency was found to be achieved by injecting 400−500 pA; therefore, we capped the highest injected current to 500 pA.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationGlutamate release is necessary but insufficient to drive peritumoral epilepsy; an additional loss of GABAergic inhibition is required.
“Glu release, while necessary, is insufficient to drive peritumoral epilepsy3. Rather an additional loss of GABAergic inhibition is required”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] Campbell, S. L. et al. GABAergic disinhibition and impaired KCC2 cotransporter activity underlie tumor‐associated epilepsy. Glia 63, 23–36 (2015). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningPNNs act as an electrostatic insulator that reduces specific membrane capacitance, functionally akin to myelin sheaths around axons, thereby permitting FSNs to exceed physiological firing rates.
“These studies uncovered a hitherto unknown role of PNNs as an electrostatic insulator that reduces specific membrane capacitance, functionally akin to myelin sheaths around axons, thereby permitting FSNs to exceed physiological firing rates.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationEnhanced glutamatergic drive in tumor-associated epilepsy results from glutamate released from gliomas via the system Xc transporter (SXC) encoded by SLC7A11, which is upregulated in about 54% of glioma patients.
“The enhanced glutamatergic drive is the result of glutamate (Glu) being assiduously released from gliomas via system Xc transporter (SXC) encoded by the SLC7A11 gene that is upregulated in about 54% of glioma patients4.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [4] Robert, S. M. et al. SLC7A11 expression is associated with seizures and predicts poor survival in patients with malignant glioma. Sci. Transl. Med. 7, 289ra286 (2015). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe cellular and molecular changes underlying tumor-associated epilepsy collectively point to a decrease in GABAergic and increase in glutamatergic transmission as the major contributors.
“The cellular and molecular changes underlying tumor-associated epilepsy collectively point to a decrease in GABAergic and increase in glutamatergic transmission as the major contributors3–6.”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [3] Campbell, S. L. et al. GABAergic disinhibition and impaired KCC2 cotransporter activity underlie tumor‐associated epilepsy. Glia 63, 23–36 (2015). source
Not checked in the free run.
- cites [4] Robert, S. M. et al. SLC7A11 expression is associated with seizures and predicts poor survival in patients with malignant glioma. Sci. Transl. Med. 7, 289ra286 (2015). source
Not checked in the free run.
- cites [5] Pallud, J. et al. Cortical GABAergic excitation contributes to epileptic activities around human glioma. Sci. Transl. Med. 6, 244ra289 (2014). source
Not checked in the free run.
- cites [6] Buckingham, S. C. et al. Glutamate release by primary brain tumors induces epileptic activity. Nat. Med. 17, 1269–1274 (2011). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningTumor-released proteolytic enzymes degrade PNNs, resulting in increased membrane capacitance, reduced firing, and hence decreased GABA release.
“Tumor-released proteolytic enzymes degrade PNNs, resulting in increased membrane capacitance, reduced firing, and hence decreased GABA release.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataPNNs decrease specific membrane capacitance of FSNs, permitting them to fire action potentials at supra-physiological frequencies.
“We show that PNNs decrease specific membrane capacitance of FSNs permitting them to fire action potentials at supra-physiological frequencies.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAbout 80% of PV+ FSNs are surrounded by perineuronal nets (PNNs).
“About 80% of PV+ FSNs14 are surrounded by perineuronal nets (PNNs)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Carulli, D. et al. Animals lacking link protein have attenuated perineuronal nets and persistent plasticity. Brain 133, 2331–2347 (2010). source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationPNNs may restrict local ionic concentration due to a high density of negatively charged glycosaminoglycans, thereby regulating the microenvironment of FSNs and influencing their intrinsic properties.
“PNNs may also restrict local ionic concentration due to a high density of their negatively charged constituent glycosaminoglycans (GAGs)18, thereby regulating the microenvironment of FSNs and influencing their intrinsic properties19.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [18] Morawski, M. et al. Ion exchanger in the brain: quantitative analysis of perineuronally fixed anionic binding sites suggests diffusion barriers with ion sorting properties. Sci. Rep. 5, 16471 (2015). source
Not checked in the free run.
- cites [19] Härtig, W. et al. Cortical neurons immunoreactive for the potassium channel Kv3. 1b subunit are predominantly surrounded by perineuronal nets presumed as a buffering system for cations. Brain Res. 842, 15–29 (1999). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningTumor-associated seizures are the consequence of impaired GABAergic inhibition due to an overall loss of peritumoral fast spiking interneurons (FSNs) and a significantly reduced firing rate of those that remain.
“We show that tumor-associated seizures are the consequence of impaired GABAergic inhibition due to an overall loss of peritumoral fast spiking interneurons (FSNs) concomitant with a significantly reduced firing rate of those that remain.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe PTC exhibits a spatial gradient of higher to lower gelatinase activity from the glioma border to the distal PTC that is negatively correlated with WFA intensity, suggesting the tumor as the likely source of MMPs.
“PTC exhibited a spatial gradient of higher to lower gelatinase activity from the glioma border to the distal PTC (Fig. 5b) that appeared negatively correlated with the WFA intensity (Fig. 5c), suggesting the tumor as the likely source of MMPs.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationApproximately 10% of all NeuN+ neurons in cortex are PV+.
“In agreement with the literature24–26, ~10% of all NeuN+ neurons in cortex were PV+ (Fig. 1b, c)”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [24] Ren, J., Aika, Y., Heizmann, C. & Kosaka, T. Quantitative analysis of neurons and glial cells in the rat somatosensory cortex, with special reference to GABAergic neurons and parvalbumin-containing neurons. Exp. Brain Res. 92, 1–14 (1992). source
Not checked in the free run.
- cites [25] Le Magueresse, C. & Monyer, H. GABAergic interneurons shape the functional maturation of the cortex. Neuron 77, 388–405 (2013). source
Not checked in the free run.
- cites [26] Beaulieu, C. Numerical data on neocortical neurons in adult rat, with special reference to the GABA population. Brain Res. 609, 284–292 (1993). source
Not checked in the free run.
May combine two claims.
PremisecitationSeizures originate from the PTC, and previous studies show altered excitation−inhibition balance in the PTC due to changes in glutamatergic and GABAergic activity.
“Seizures originate from the PTC, and previous studies3,5,6 show altered excitation−inhibition balance in the PTC due to changes in glutamatergic and GABAergic activity.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [3] Campbell, S. L. et al. GABAergic disinhibition and impaired KCC2 cotransporter activity underlie tumor‐associated epilepsy. Glia 63, 23–36 (2015). source
Not checked in the free run.
- cites [5] Pallud, J. et al. Cortical GABAergic excitation contributes to epileptic activities around human glioma. Sci. Transl. Med. 6, 244ra289 (2014). source
Not checked in the free run.
- cites [6] Buckingham, S. C. et al. Glutamate release by primary brain tumors induces epileptic activity. Nat. Med. 17, 1269–1274 (2011). source
Not checked in the free run.
May combine two claims.
Interpretationown dataReal-time digestion of PNNs suggests that PNNs act as an insulator that decreases specific membrane capacitance of the cell, thereby permitting an increase in the maximally achievable firing rate of FSNs.
“Importantly, real-time digestion of PNNs suggests that PNNs act as an insulator that decreases specific membrane capacitance of the cell thereby permitting an increase in the maximally achievable firing rate of FSNs.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Study design and conductown dataExperimental limitations including incubation duration and low enzymatic activity prevented sufficient PNN degradation with the MMP cocktail.
“Unfortunately, experimental limitations including incubation duration and low enzymatic activity prevented us to achieve sufficient PNN degradation.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningPNN degradation alone is sufficient to reduce the firing frequency of FSNs, thereby decreasing inhibitory tone.
“We show that PNN degradation alone is sufficient to reduce the firing frequency of FSNs thereby decreasing inhibitory tone”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataPreventing PNN degradation significantly rescued the biophysical characteristics of inhibitory neurons but did not affect excitatory neurons, which were still under the influence of tumor-released glutamate.
“Preventing PNN degradation significantly rescued the biophysical characteristics of inhibitory neurons but without affecting excitatory neurons, which were still under the influence of tumor-released glutamate.”
Quote in the paperSubstantial claim- Rests on an assumption: The elevation in glioma-released glutamate persists in GM6001-treated animals and continues to drive heightened excitability of excitatory neurons.
May combine two claims.
Interpretationown dataNeither resting membrane potential nor input−output curve of FSNs can be attributed to tumor-released Glu, as they are identical in neurons with disintegrated PNNs recorded in PTCs of GBM14 and GBM22.
“In contrast to excitatory cells, neither resting membrane potential nor input−output curve (Fig. 6j−l) could be attributed to the tumor-released Glu as they were identical in neurons with disintegrated PNNs recorded in the PTCs of GBM14 and GBM22-implanted brains (Fig. 6k).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataTumor-secreted molecules, likely Glu and proteolytic enzymes, cause a distance-dependent loss of interneurons and degradation of PNNs, respectively.
“Taken together, these data suggest that tumor-secreted molecules, likely Glu and proteolytic enzymes, cause a distance-dependent loss of interneurons and degradation of PNNs, respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataChanges in the excitability of FSNs appear intrinsic and are associated with disintegration of PNNs and a ~25% increase in cell capacitance as the primary differences between PTC and control cortex.
“In contrast, changes in the excitability of FSNs appear intrinsic, and are associated with disintegration of PNNs and ~25% increase in cell capacitance as the primary differences between PTC and control cortex.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataSpike frequency of excitatory neurons in GBM22 PTC is significantly reduced on blocking glutamatergic neurotransmission, confirming they are driven by glioma-released Glu rather than intrinsic to the cell.
“In addition, the spike frequency of excitatory neurons in GBM22 PTC was significantly reduced on blocking the glutamatergic neurotransmission, further confirming them driven by glioma-released Glu rather than intrinsic to the cell (Supplementary Fig. 5b).”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationMetalloproteinase inhibitors prevented seizures and MMP-9 knockout mice were less susceptible to pentylenetetrazole-induced seizures.
“Moreover, metalloproteinase inhibitors prevented seizures51 and MMP-9 knockout mice were less susceptible to pentylenetetrazole-induced seizures52.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [51] Pollock, E., Everest, M., Brown, A. & Poulter, M. O. Metalloproteinase inhibition prevents inhibitory synapse reorganization and seizure genesis. Neurobiol. Dis. 70, 21–31 (2014). source
Not checked in the free run.
- cites [52] Wilczynski, G. M. et al. Important role of matrix metalloproteinase 9 in epileptogenesis. J. Cell. Biol. 180, 1021–1035 (2008). source
Not checked in the free run.
May combine two claims.
Interpretationown dataExperimental digestion of PNNs in normal brain phenocopied the change in capacitance and the observed excitability changes.
“Experimental digestion of PNNs in normal brain phenocopied the change in capacitance and the observed excitability changes.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationHeightened MMP activity has been reported in other models of epilepsy, with elevated MMP level associated with epileptiform activity.
“While we suggest a pivotal role for the MMP activity in glioma-associated epilepsy, heightened MMP activity has also been reported in other models of epilepsy46 with elevated MMP level being associated with epileptiform activity47–50.”
Quote in the paperNot a substantial claim0 of 5 sources checked- cites [46] Dubey, D. et al. Increased metalloproteinase activity in the hippocampus following status epilepticus. Epilepsy Res. 132, 50–58 (2017). source
Not checked in the free run.
- cites [47] Jourquin, J. et al. Neuronal activity‐dependent increase of net matrix metalloproteinase activity is associated with MMP‐9 neurotoxicity after kainate. Eur. J. Neurosci. 18, 1507–1517 (2003). source
Not checked in the free run.
- cites [48] Kim, G. W. et al. The role of MMP-9 in integrin-mediated hippocampal cell death after pilocarpine-induced status epilepticus. Neurobiol. Dis. 36, 169–180 (2009). source
Not checked in the free run.
- cites [49] Szklarczyk, A., Lapinska, J., Rylski, M., McKay, R. D. & Kaczmarek, L. Matrix metalloproteinase-9 undergoes expression and activation during dendritic remodeling in adult hippocampus. J. Neurosci. 22, 920–930 (2002). source
Not checked in the free run.
- cites [50] Takács, E. et al. Matrix metalloproteinase-9 activity increased by two different types of epileptic seizures that do not induce neuronal death: a possible role in homeostatic synaptic plasticity. Neurochem. Int. 56, 799–809 (2010). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningThe PNN that extends from the proximal dendrites across the cell body to the axon hillock increases membrane thickness, which in turn decreases specific membrane capacitance.
“Akin to the myelin sheaths surrounding axons, the PNN that extends from the proximal dendrites across the cell body to the axon hillock increases the membrane thickness, which in turn decreases the specific membrane capacitance.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataPNN damage is primarily attributed to the proteolytic activity of glioma-released MMPs and consequently caused the cell's membrane capacitance to increase.
“PNN damage was found to be primarily attributed to the proteolytic activity of glioma-released MMPs and consequently caused the cell’s membrane capacitance to increase.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataPNNs act as an electrostatic insulator that decreases the cell's effective membrane capacitance and concomitantly increases the cell's maximally attainable firing frequency, which is directly linked to GABA release and maintenance of inhibitory tone.
“Further biophysical analysis and modeling results revealed that the PNNs must act as an electrostatic insulator that decreases the cell’s effective membrane capacitance and concomitantly increase the cell’s maximally attainable firing frequency, which is directly linked to GABA release and maintenance of inhibitory tone.”
Quote in the paperSubstantial claim- Rests on an assumption: The first-order Hodgkin−Huxley approximation and Neuronify model with identical electrical properties adequately represent the biophysical behavior of FSNs.
May combine two claims.
Interpretationown dataAn intact PNN reduces membrane capacitance and is essential to allow FSNs to sustain their maximum firing frequency.
“Taken together, these data suggest that an intact PNN reduces membrane capacitance and is essential to allow FSNs to sustain their maximum firing frequency.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationPNNs and CSPGs protect neurons from oxidative stress and glutamate excitotoxicity, and combined actions of glioma-released proteases and Glu might explain the selective vulnerability of PV neurons over principal neurons in the PTC.
“PNNs and CSPGs play crucial roles in protecting neurons from oxidative stress33 and glutamate excitotoxicity42 and combined actions of glioma-released proteases and Glu might explain the selective vulnerability of PV neurons over principle neurons in the PTC.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [33] Okamoto, M., Mori, S. & Endo, H. A protective action of chondroitin sulfate proteoglycans against neuronal cell death induced by glutamate. Brain Res. 637, 57–67 (1994). source
Not checked in the free run.
- cites [42] Rempe, R. G. et al. Matrix metalloproteinase-mediated blood−brain barrier dysfunction in epilepsy. J. Neurosci. 38, 4301–4315 (2018). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationPNN degradation may also alter synaptic activity and hence network excitability.
“However, it is important to recognize that in addition to changes in the excitability of inhibitory neurons as suggested here and by others55, PNN degradation may also alter synaptic activity56 and hence network excitability.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [55] Balmer, T. S. Perineuronal nets enhance the excitability of fast-spiking neurons. eNeuro 3, ENEURO.0112-0116.2016 (2016). source
Not checked in the free run.
- cites [56] McRae, P. A. & Porter, B. E. The perineuronal net component of the extracellular matrix in plasticity and epilepsy. Neurochem. Int. 61, 963–972 (2012). source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenChABC degrades CSPGs in the interstitial matrix and PNNs irrespective of their structural arrangement.
“ChABC degrades CSPGs in the interstitial matrix and PNNs irrespective of their structural arrangement.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStaley and colleagues demonstrated that CSPG digestion changes the transmembrane Cl− gradient, which can alter GABAergic neurotransmission.
“Staley and colleagues demonstrated that CSPGs digestion changes the transmembrane Cl− gradient, which can alter GABAergic neurotransmission20.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] Glykys, J. et al. Local impermeant anions establish the neuronal chloride concentration. Science 343, 670–675 (2014). source
Not checked in the free run.
May combine two claims.
InterpretationcitationGliomas act as a localized source of seizure-provoking Glu and PNN-degrading metalloproteinases, establishing a gradient of spread that explains the observed gradient of excitotoxic cell loss and PNN destruction decreasing with distance from the tumor.
“Gliomas act as a localized source of seizure provoking Glu and PNN degrading metalloproteinases28 thereby establishing a gradient of spread, which explains the observed gradient of excitotoxic cell loss and PNN destruction that decreases with distance from the tumor.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28] Rao, J. S. Molecular mechanisms of glioma invasiveness: the role of proteases. Nat. Rev. Cancer 3, 489–501 (2003). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationOthers have suggested altered lateral mobility of AMPAR or changes in local diffusion of Ca2+ in brain tissue following PNN degradation.
“Others have suggested altered lateral mobility of AMPAR53 or changes in the local diffusion of Ca2+ in brain tissue54 following PNN degradation.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [53] Frischknecht, R. et al. Brain extracellular matrix affects AMPA receptor lateral mobility and short-term synaptic plasticity. Nat. Neurosci. 12, 897–904 (2009). source
Not checked in the free run.
- cites [54] Hrabětová, S., Masri, D., Tao, L., Xiao, F. & Nicholson, C. Calcium diffusion enhanced after cleavage of negatively charged components of brain extracellular matrix by chondroitinase ABC. J. Physiol. 587, 4029–4049 (2009). source
Not checked in the free run.
May combine two claims.
InterpretationcitationGM6001 increased the number of FSNs, most likely due to the known neuroprotective effect of PNNs shielding FSNs from glutamate excitotoxicity.
“In addition, GM6001 increased the number of FSNs most likely due to the known neuroprotective effect of the PNNs33 shielding FSNs from glutamate excitotoxicity33.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33] Okamoto, M., Mori, S. & Endo, H. A protective action of chondroitin sulfate proteoglycans against neuronal cell death induced by glutamate. Brain Res. 637, 57–67 (1994). source
Not checked in the free run.
May combine two claims.
Interpretationown dataThe presence of PNN increases maximal sustainable firing frequency and greatly enhances evoked activity even at lower frequencies.
“Hence, these data suggest that not only does the presence of PNN increases maximal sustainable firing frequency, but also the evoked activity is indeed greatly enhanced even at lower frequencies.”
Quote in the paperSubstantial claim- Rests on an assumption: The first-order Hodgkin−Huxley approximation and Neuronify model with identical electrical properties adequately represent the biophysical behavior of FSNs.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenOther populations of FSNs in brain may be similarly modulated by PNNs and similarly vulnerable to enzymatic damage of PNNs following injury and disease.
“Other populations of FSNs in brain may be similarly modulated by PNNs, and similarly vulnerable to enzymatic damage of PNNs following injury and disease.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningPNN tunes the cell's membrane capacitance thereby modulating its firing frequency.
“As illustrated in summary Supplementary Fig. 10, our data suggest that PNN tunes cell’s membrane capacitance thereby modulating its firing frequency.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenMembrane capacitance and series resistance were not compensated unless otherwise stated.
“The membrane capacitance (Cm) and series resistance were not compensated unless otherwise stated.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataA line profile intensity graph showing an almost flat line with only a few low intensity peaks indicates a disintegrated PNN by glioma.
“A line profile intensity graph showing almost flat line with only few low intensity peaks indicates disintegrated PNN by glioma as exemplified in Fig. 2d.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenAll animal procedures were approved and performed in accordance with ethical guidelines set by Virginia Tech Institutional Animal Care and Use Committee (IACUC).
“All animal procedures were approved and performed in accordance with the ethical guidelines set by Virginia Tech Institutional Animal Care and Use Committee (IACUC).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGlu may cause an increase in MMP expression and activity level.
“Note that Glu may also cause an increase in MMP expression and activity level as reported by a recent study41.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [41] Lukes, A., Mun-Bryce, S., Lukes, M. & Rosenberg, G. A. Extracellular matrix degradation by metalloproteinases and central nervous system diseases. Mol. Neurobiol. 19, 267–284 (1999). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe model methodology, including model interactions and parameter values, has been used in recent studies.
“This similar methodology, both model interactions and parameter values, has been used in recent studies61–63.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [61] Guerrier, C. & Holcman, D. Hybrid Markov-mass action law model for cell activation by rare binding events: application to calcium induced vesicular release at neuronal synapses. Sci. Rep. 6, 35506 (2016). source
Not checked in the free run.
- cites [62] Howell, B., Medina, L. E. & Grill, W. M. Effects of frequency-dependent membrane capacitance on neural excitability. J. Neural Eng. 12, 056015 (2015). source
Not checked in the free run.
- cites [63] Weinberg, S. H. Membrane capacitive memory alters spiking in neurons described by the fractional-order Hodgkin−Huxley model. PLoS ONE 10, e0126629 (2015). source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Study design and conductnone givenThe data are sufficiently normally distributed and the variance within groups is sufficiently similar to be used for parametric tests.
“Data are sufficiently normal distributed and variance within groups is sufficiently similar to be used for parametric tests.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataReal-time ChABC superfusion at 1 U/ml for 50 min at 32-33 °C reliably degraded PNNs but left identifiable traces around FSNs to confirm the presence of PNNs prior to digestion.
“This protocol also reliably degraded PNNs but left identifiable traces around the FSNs to confirm the presence of PNNs around patched cells prior to the digestion (Supplementary Fig. 7).”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataChABC treatment at 0.5 U/ml for 45 min at 33 °C reliably degraded PNNs but spared traces around FSNs, allowing identification of PNN-positive cells.
“These parameters of PNNs digestion by ChABC (enzyme concentration—0.5 U/ml, incubation time—45 min, incubation temperature—33 °C) reliably degraded PNNs but spared traces around the FSNs thereby allowing the identification of PNN-positive cells (Supplementary Fig. 6a, b).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataGlutamatergic neurotransmission was blocked by superfusing D-AP-5 and CNQX, and the blockage was confirmed by the disappearance of spontaneous EPSCs.
“For few experiments, we superfused ACSF containing 50 µM D-2-amino-5-phosphonovalerate (D-AP-5) and 20 µM 6-cyano-7-nitroquinoxaline-2,3-dione (CNQX) to block glutamatergic neurotransmission and confirmed the blockage by observing disappearance of spontaneous EPSCs.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenStaining was performed in a large batch of duplicate sections from 5 to 7 mice of each treatment group to minimize procedure-related variability.
“To minimize procedure-related variability, we preformed staining in a large batch of duplicate sections from 5 to 7 mice of each treatment group.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe Hodgkin-Huxley model was first described by Hodgkin and Huxley and modified by Abbott and Kepler.
“This model was first described in the seminal work by Hodgkin and Huxley, and modified by Abbot and Kepler59,60.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [59] Abbott, L. & Kepler, T. B. Model neurons: from Hodgkin−Huxley to Hopfield. In Statistical Mechanics of Neural Networks (ed. Garrido, I.) (Springer, Berlin, 1990).
Not checked in the free run.
- cites [60] Hodgkin, A. L. & Huxley, A. F. A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiol. 117, 500–544 (1952). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPNNs are stable structures known to lock synapses in place upon closure of the developmental window of plasticity, and several CNS pathologies present with upregulated ECM and PNN remodeling enzymes including MMPs.
“Although PNNs are stable structures and known to lock synapses in place upon closure of the developmental window of plasticity17,38,39, several CNS pathologies40, including glioma and epilepsy, present with upregulated ECM and PNN remodeling enzymes including MMPs.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [17] Tsien, R. Y. Very long-term memories may be stored in the pattern of holes in the perineuronal net. Proc. Natl. Acad. Sci. USA 110, 12456–12461 (2013). source
Not checked in the free run.
- cites [38] Hu, H., Gan, J. & Jonas, P. Fast-spiking, parvalbumin + GABAergic interneurons: From cellular design to microcircuit function. Science 345, 1255263 (2014). source
Not checked in the free run.
- cites [39] Pizzorusso, T. et al. Reactivation of ocular dominance plasticity in the adult visual cortex. Science 298, 1248–1251 (2002). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataDifferent patterns of PV and NeuN intensity peaks flanked by WFA peaks indicate whether a cell is present inside the PNN and the status of the PNN.
“Different patterns of PV and NeuN intensity peaks flanked by WFA peaks indicate whether a cell is present inside the PNN and the status of PNN.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenPotential damage to PNNs during patching was minimized by applying minimum positive pressure while approaching cells.
“A potential damage to the PNNs was minimized during the patching procedure by applying minimum positive pressure while approaching cells.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationThe aforementioned mechanisms could alter the excitation−inhibition balance in favor of seizures and may contribute to a loss of inhibition in tumor-associated cortex.
“The aforementioned mechanisms could alter the excitation−inhibition balance in favor of seizures and may well contribute to a loss of inhibition in tumor-associated cortex.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The elevation in glioma-released glutamate persists in GM6001-treated animals and continues to drive heightened excitability of excitatory neurons.
“Note, however, that under these conditions the elevation in glioma-released glutamate remains a driver of heightened excitability in GM6001-treated animals.”
The paper relies on this without support.
The first-order Hodgkin−Huxley approximation and Neuronify model with identical electrical properties adequately represent the biophysical behavior of FSNs.
“we employed a computer simulation to generate a first-order approximation to the Hodgkin−Huxley (HH) differential equation model (Supplementary Fig. 9a, b).”
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?
Microglia-mediated loss of PNNs likely plays an important role in AD pathogenesis.
“As PNNs are implicated in neuronal health and function, protecting cells against neurotoxins such as Aβ1–42 [39] and oxidative stress [65] in addition to modulating neuronal activity [63, 66], the microglia-mediated loss of these structures in disease likely plays an important role in AD pathogenesis.”
From Microglia facilitate loss of perineuronal nets in the Alzheimer's disease brain (2020) · cites this paper as [66]
PNN breakdown impairs inhibitory firing of GABAergic interneurons, contributing to tumour-associated seizures similar to those in R6/2 mice.
“PNN degradation impairs the inhibitory firing of GABAergic interneurons, thus contributing to tumour-associated seizures”
From Microglial depletion prevents extracellular matrix changes and striatal volume reduction in a model of Huntington's disease (2020) · cites this paper as Tewari et al., 2018
Loss of PNN structural integrity has been shown to contribute to tumour-associated seizures through impaired GABAergic inhibitory firing.
“which has before been shown to contribute to tumour-associated seizures (Tewari et al. , 2018) due to impaired GABAergic inhibitory firing”
From Microglial depletion prevents extracellular matrix changes and striatal volume reduction in a model of Huntington's disease (2020) · cites this paper as Tewari et al. , 2018
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.
Neuronal density at 0.4-0.6 mm falls outside the stated range
MinorThe text says GBM22 reduced NeuN+ cell density to about 50-60% throughout the 0.2-0.6 mm region, but Fig. 1e reports 72.99% for the 0.4-0.6 mm bin.
“whereas the Glu-releasing tumors (GBM22) decreased NeuN+ cells to ~50–60% within 0.2–0.6 mm PTC.”
“0.4–0.6 mm (PV+, 46.18 ± 7.7%; NeuN+, 72.99 ± 4.88%) distance from the tumor border.”
GM6001-treated excitatory neurons are called depolarized despite sham-like potential
MinorThe results text calls these neurons depolarized, but Fig. 7g says their resting potential remained similar to sham and differed from nontreated PTC.
“Excitatory neurons in GM6001-treated PTC were depolarized (Fig. 7g);”
“g Resting membrane potential (Vm) of excitatory neurons in GM6001-treated PTC (66.62 ± 0.77, n = 27(8)) remained similar to sham (67.02 ± 0.38, n = 98(15)), but was significantly higher than the nontreated PTC (61.49 ± 0.86, n = 80(11)).”
Cites
Hodgkin, A. L., & Huxley, A. F. (1952) · The Journal of Physiology · doi:10.1113/jphysiol.1952.sp004764 · Cited by 23,191 · see citing works
Shrestha, S., & Offer, S. M. (2016) · Medical Epigenetics · doi:10.1159/000444713 · Cited by 8,949 · see citing works
Reactivation of Ocular Dominance Plasticity in the Adult Visual Cortex
Pizzorusso, T., Medini, P., Berardi, N., Chierzi, S., Fawcett, J. W., & Maffei, L. (2002) · Science · doi:10.1126/science.1072699 · Cited by 1,679 · see citing works
Glutamate as a neurotransmitter in the brain: review of physiology and pathology
Meldrum, B. S. (2000) · The Journal of Nutrition · doi:10.1093/jn/130.4.1007s · Cited by 1,667 · see citing works
Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex
The Petilla Interneuron Nomenclature Group (PING) (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2402 · Cited by 1,491 · see citing works
Three groups of interneurons account for nearly 100% of neocortical GABAergic neurons
Rudy, B., Fishell, G., Lee, S., & Hjerling‐Leffler, J. (2011) · Developmental Neurobiology · doi:10.1002/dneu.20853 · Cited by 1,420 · see citing works
Hu, H., Gan, J., & Jonas, P. (2014) · Science · doi:10.1126/science.1255263 · Cited by 1,197 · see citing works
Matrix metalloproteinases in neuroinflammation
Rosenberg, G. A. (2002) · Glia · doi:10.1002/glia.10108 · Cited by 868 · see citing works
Molecular mechanisms of glioma invasiveness: the role of proteases
Rao, J. S. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1121 · Cited by 847 · see citing works
Perineuronal Nets Protect Fear Memories from Erasure
Gogolla, N., Caroni, P., Lüthi, A., & Herry, C. (2009) · Science · doi:10.1126/science.1174146 · Cited by 760 · see citing works
Glutamate release by primary brain tumors induces epileptic activity
Buckingham, S. C., Campbell, S. L., Haas, B. R., Montana, V., Robel, S., Ogunrinu, T., & Sontheimer, H. (2011) · Nature Medicine · doi:10.1038/nm.2453 · Cited by 578 · see citing works
Self-citationBrain extracellular matrix affects AMPA receptor lateral mobility and short-term synaptic plasticity
Frischknecht, R., Heine, M., Perrais, D., Seidenbecher, C. I., Choquet, D., & Gundelfinger, E. D. (2009) · Nature Neuroscience · doi:10.1038/nn.2338 · Cited by 554 · see citing works
Perineuronal nets protect fast-spiking interneurons against oxidative stress
Cabungcal, J.-H., Steullet, P., Morishita, H., Kraftsik, R., Cuenod, M., Hensch, T. K., & Do, K. Q. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1300454110 · Cited by 512 · see citing works
Animals lacking link protein have attenuated perineuronal nets and persistent plasticity
Carulli, D., Pizzorusso, T., Kwok, J. C. F., Putignano, E., Poli, A., Forostyak, S., Andrews, M. R., Deepa, S. S., Glant, T. T., & Fawcett, J. W. (2010) · Brain · doi:10.1093/brain/awq145 · Cited by 495 · see citing works
The role of extracellular matrix in CNS regeneration
Busch, S. A., & Silver, J. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2006.09.004 · Cited by 468 · see citing works
Glioma cells release excitotoxic concentrations of glutamate.
Ye, Z., & Sontheimer, H. W. (1999) · PubMed · Cited by 442 · see citing works
Self-citationGABAergic Interneurons Shape the Functional Maturation of the Cortex
Le Magueresse, C., & Monyer, H. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.011 · Cited by 425 · see citing works
Redox imbalance in cystine/glutamate transporter-deficient mice
Sato, H., Shiiya, A., Kimata, M., Maebara, K., Tamba, M., Sakakura, Y., Makino, N., Sugiyama, F., Yagami, K.-I., Moriguchi, T., et al. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m506439200 · Cited by 422 · see citing works
Szklarczyk, A., Lapinska, J., Rylski, M., McKay, R. D. G., & Kaczmarek, L. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-03-00920.2002 · Cited by 392 · see citing works
Molecular targets of glioma invasion
Nakada, M., Nakada, S., Demuth, T., Tran, N. L., Hoelzinger, D. B., & Berens, M. E. (2007) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-007-6342-5 · Cited by 383 · see citing works
The perineuronal net and the control of CNS plasticity
Wang, D., & Fawcett, J. (2012) · Cell and Tissue Research · doi:10.1007/s00441-012-1375-y · Cited by 373 · see citing works
Composition of Perineuronal Net Extracellular Matrix in Rat Brain
Deepa, S. S., Carulli, D., Galtrey, C., Rhodes, K., Fukuda, J., Mikami, T., Sugahara, K., & Fawcett, J. W. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m600544200 · Cited by 367 · see citing works
Härtig, W., Derouiche, A., Welt, K., Brauer, K., Grosche, J., Mäder, M., Reichenbach, A., & Brückner, G. (1999) · Brain Research · doi:10.1016/s0006-8993(99)01784-9 · Cited by 339 · see citing works
Wang, J., & Tsirka, S. E. (2005) · Brain · doi:10.1093/brain/awh489 · Cited by 321 · see citing works
Numerical data on neocortical neurons in adult rat, with special reference to the GABA population
Beaulieu, C. (1993) · Brain Research · doi:10.1016/0006-8993(93)90884-p · Cited by 301 · see citing works
Robert, S. M., Buckingham, S. C., Campbell, S. L., Robel, S., Holt, K. T., Ogunrinu-Babarinde, T., Warren, P. P., White, D. M., Reid, M. A., Eschbacher, J. M., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa8103 · Cited by 301 · see citing works
Self-citationCortical GABAergic excitation contributes to epileptic activities around human glioma
Pallud, J., Le Van Quyen, M., Bielle, F., Pellegrino, C., Varlet, P., Labussiere, M., Cresto, N., Dieme, M.-J., Baulac, M., Duyckaerts, C., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3008065 · Cited by 300 · see citing works
Important role of matrix metalloproteinase 9 in epileptogenesis
Wilczynski, G. M., Konopacki, F. A., Wilczek, E., Lasiecka, Z., Gorlewicz, A., Michaluk, P., Wawrzyniak, M., Malinowska, M., Okulski, P., Kolodziej, L. R., et al. (2008) · The Journal of Cell Biology · doi:10.1083/jcb.200708213 · Cited by 292 · see citing works
Reactive Astrogliosis Causes the Development of Spontaneous Seizures
Robel, S., Buckingham, S. C., Boni, J. L., Campbell, S. L., Danbolt, N. C., Riedemann, T., Sutor, B., & Sontheimer, H. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.1574-14.2015 · Cited by 283 · see citing works
Self-citationHyaluronidases in cancer biology
Stern, R. (2008) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2008.03.017 · Cited by 261 · see citing works
Very long-term memories may be stored in the pattern of holes in the perineuronal net
Tsien, R. Y. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1310158110 · Cited by 244 · see citing works
Extracellular matrix degradation by metalloproteinases and central nervous system diseases
Lukes, A., Mun-Bryce, S., Lukes, M., & Rosenberg, G. A. (1999) · Molecular Neurobiology · doi:10.1007/bf02821717 · Cited by 230 · see citing works
The Course of Seizure Disorders in Patients With Malignant Gliomas
Moots, P. L., Maciunas, R. J., Eisert, D. R., Parker, R. A., Laporte, K. F., & Abou-Khalil, B. W. (1995) · Archives of Neurology · doi:10.1001/archneur.1995.00540310091021 · Cited by 226 · see citing works
Enwright, J. F., Sanapala, S., Foglio, A., Berry, R., Fish, K. N., & Lewis, D. A. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2016.24 · Cited by 223 · see citing works
Perineuronal Nets Enhance the Excitability of Fast-Spiking Neurons
Balmer, T. S. (2016) · eneuro · doi:10.1523/eneuro.0112-16.2016 · Cited by 220 · see citing works
Local Impermeant Anions Establish the Neuronal Chloride Concentration
Glykys, J., Dzhala, V., Egawa, K., Balena, T., Saponjian, Y., Kuchibhotla, K. V., Bacskai, B. J., Kahle, K. T., Zeuthen, T., & Staley, K. J. (2014) · Science · doi:10.1126/science.1245423 · Cited by 212 · see citing works
Efficacy of anti-epileptic drugs in patients with gliomas and seizures
van Breemen, M. S. M., Rijsman, R. M., TAPHOORN, M. J. B., Walchenbach, R., Zwinkels, H., & Vecht, C. J. (2009) · Journal of Neurology · doi:10.1007/s00415-009-5156-9 · Cited by 202 · see citing works
Campbell, S. L., Robel, S., Cuddapah, V. A., Robert, S., Buckingham, S. C., Kahle, K. T., & Sontheimer, H. (2015) · Glia · doi:10.1002/glia.22730 · Cited by 185 · see citing works
Self-citationJourquin, J., Tremblay, E., Décanis, N., Charton, G., Hanessian, S., Chollet, A., Le Diguardher, T., Khrestchatisky, M., & Rivera, S. (2003) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2003.02876.x · Cited by 178 · see citing works
Glutamate is associated with a higher risk of seizures in patients with gliomas
Yuen, T., Morokoff, A. P., Bjorksten, A. R., D’Abaco, G. M., Paradiso, L., Finch, S. J., Wong, D., Reid, C. A., Powell, K. L., Drummond, K. J., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e318266fa89 · Cited by 173 · see citing works
Matrix Metalloproteinase-Mediated Blood-Brain Barrier Dysfunction in Epilepsy
Rempe, R. G., Hartz, A. M. S., Soldner, E. L. B., Sokola, B. S., Alluri, S. R., Abner, E. L., Kryscio, R. J., Pekcec, A., Schlichtiger, J., & Bauer, B. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.2751-17.2018 · Cited by 162 · see citing works
Golowasch, J., Thomas, G., Taylor, A. L., Patel, A., Pineda, A., Khalil, C., & Farzan Nadim, A. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00160.2009 · Cited by 155 · see citing works
Ren, J. Q., Aika, Y., Heizmann, C. W., & Kosaka, T. (1992) · Experimental Brain Research · doi:10.1007/bf00230378 · Cited by 148 · see citing works
The perineuronal net component of the extracellular matrix in plasticity and epilepsy
McRae, P. A., & Porter, B. E. (2012) · Neurochemistry International · doi:10.1016/j.neuint.2012.08.007 · Cited by 143 · see citing works
Piao, Y., Lu, L., & de Groot, J. (2008) · Neuro-Oncology · doi:10.1215/15228517-2008-094 · Cited by 124 · see citing works
Glutamate transporters in the biology of malignant gliomas
Robert, S. M., & Sontheimer, H. W. (2013) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-013-1521-z · Cited by 120 · see citing works
Self-citationMorawski, M., Reinert, T., Meyer-Klaucke, W., Wagner, F. E., Tröger, W., Reinert, A., Jäger, C., Brückner, G., & Arendt, T. (2015) · Scientific Reports · doi:10.1038/srep16471 · Cited by 116 · see citing works
Hrabětová, S., Masri, D., Tao, L., Xiao, F., & Nicholson, C. (2009) · The Journal of Physiology · doi:10.1113/jphysiol.2009.170092 · Cited by 113 · see citing works
Perineuronal net degradation in epilepsy
Rankin‐Gee, E. K., McRae, P. A., Baranov, E., Rogers, S., Wandrey, L., & Porter, B. E. (2015) · Epilepsia · doi:10.1111/epi.13026 · Cited by 100 · see citing works
Involvement of cortical fast-spiking parvalbumin-positive basket cells in epilepsy
Jiang, X., Lachance, M., & Rossignol, E. (2016) · Progress in brain research · doi:10.1016/bs.pbr.2016.04.012 · Cited by 98 · see citing works
Lost in disruption: Role of proteases in glioma invasion and progression
Mentlein, R., Hattermann, K., & Held-Feindt, J. (2012) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2011.12.001 · Cited by 85 · see citing works
Persistent decrease in multiple components of the perineuronal net following status epilepticus
McRae, P. A., Baranov, E., Rogers, S. L., & Porter, B. E. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08268.x · Cited by 85 · see citing works
Sulfasalazine inhibits the growth of primary brain tumors independent of nuclear factor‐κB
Chung, W. J., & Sontheimer, H. W. (2009) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2009.06129.x · Cited by 81 · see citing works
Self-citationWeinberg, S. H. (2015) · PLOS ONE · doi:10.1371/journal.pone.0126629 · Cited by 76 · see citing works
Metalloproteinase inhibition prevents inhibitory synapse reorganization and seizure genesis
Pollock, E., Everest, M., Brown, A., & Poulter, M. O. (2014) · Neurobiology of Disease · doi:10.1016/j.nbd.2014.06.003 · Cited by 75 · see citing works
Increased metalloproteinase activity in the hippocampus following status epilepticus
Dubey, D., McRae, P. A., Rankin-Gee, E. K., Baranov, E., Wandrey, L., Rogers, S., & Porter, B. E. (2017) · Epilepsy Research · doi:10.1016/j.eplepsyres.2017.02.021 · Cited by 65 · see citing works
Kim, G. W., Kim, H.-J., Cho, K.-J., Kim, H.-W., Cho, Y.-J., & Lee, B. I. (2009) · Neurobiology of Disease · doi:10.1016/j.nbd.2009.07.008 · Cited by 63 · see citing works
Takács, E., Nyilas, R., Szepesi, Z., Baracskay, P., Karlsen, B., Røsvold, T., Bjørkum, A. A., Czurkó, A., Kovács, Z., Kékesi, A. K., et al. (2010) · Neurochemistry International · doi:10.1016/j.neuint.2010.03.003 · Cited by 63 · see citing works
Okamoto, M., Mori, S., & Endo, H. (1994) · Brain Research · doi:10.1016/0006-8993(94)91217-3 · Cited by 59 · see citing works
Effects of frequency-dependent membrane capacitance on neural excitability
Howell, B., Medina, L. E., & Grill, W. M. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/5/056015 · Cited by 39 · see citing works
Reversible seizures produced by neuronal hyaluronic acid depletion
Young, I. J. (1963) · Experimental Neurology · doi:10.1016/0014-4886(63)90031-1 · Cited by 19 · see citing works
Neuronify: An Educational Simulator for Neural Circuits
Dragly, S.-A., Hobbi Mobarhan, M., Våvang Solbrå, A., Tennøe, S., Hafreager, A., Malthe-Sørenssen, A., Fyhn, M., Hafting, T., & Einevoll, G. T. (2017) · eneuro · doi:10.1523/eneuro.0022-17.2017 · Cited by 16 · see citing works
Guerrier, C., & Holcman, D. (2016) · Scientific Reports · doi:10.1038/srep35506 · Cited by 16 · see citing works
REVERSIBLE SEIZURES PRODUCED BY NEURONAL HYALURONIC ACID DEPLETION.
Young, I. J. (1963) · PubMed · Cited by 4 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Abbott, L. & Kepler, T. B. Model neurons: from Hodgkin−Huxley to Hopfield. In Statistical Mechanics of Neural Networks (ed. Garrido, I.) (Springer, Berlin, 1990).
Cited by
Sorted by citations
Perineuronal nets stabilize the grid cell network
Christensen, A. C., Lensjø, K. K., Lepperød, M. E., Dragly, S.-A., Sutterud, H., Blackstad, J. S., Fyhn, M., & Hafting, T. (2021) · Nature Communications · doi:10.1038/s41467-020-20241-w · Cited by 1,865 · see citing works
Neuron–glia interactions in the pathophysiology of epilepsy
Patel, D. C., Tewari, B. P., Chaunsali, L., & Sontheimer, H. W. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0126-4 · Cited by 461 · see citing works
Self-citationMicroglia facilitate loss of perineuronal nets in the Alzheimer's disease brain
Crapser, J. D., Spangenberg, E. E., Barahona, R. A., Arreola, M. A., Hohsfield, L. A., & Green, K. N. (2020) · EBioMedicine · doi:10.1016/j.ebiom.2020.102919 · Cited by 280 · see citing works
To Kill a Microglia: A Case for CSF1R Inhibitors
Green, K. N., Crapser, J. D., & Hohsfield, L. A. (2020) · Trends in Immunology · doi:10.1016/j.it.2020.07.001 · Cited by 259 · see citing works
Microglia as hackers of the matrix: sculpting synapses and the extracellular space
Crapser, J. D., Arreola, M. A., Tsourmas, K. I., & Green, K. N. (2021) · Cellular & Molecular Immunology · doi:10.1038/s41423-021-00751-3 · Cited by 178 · see citing works
GABAergic neuron-to-glioma synapses in diffuse midline gliomas
Barron, T., Yalçın, B., Su, M., Byun, Y. G., Gavish, A., Shamardani, K., Xu, H., Ni, L., Soni, N., Mehta, V., et al. (2025) · Nature · doi:10.1038/s41586-024-08579-3 · Cited by 165 · see citing works
Crapser, J. D., Ochaba, J., Soni, N., Reidling, J. C., Thompson, L. M., & Green, K. N. (2020) · Brain · doi:10.1093/brain/awz363 · Cited by 157 · see citing works
Venturino, A., Schulz, R., De Jesús-Cortés, H., Maes, M. E., Nagy, B., Reilly-Andújar, F., Colombo, G., Cubero, R. J. A., Schoot Uiterkamp, F. E., Bear, M. F., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109313 · Cited by 140 · see citing works
Wingert, J. C., & Sorg, B. A. (2021) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2021.673210 · Cited by 129 · see citing works
Norepinephrine links astrocytic activity to regulation of cortical state
Reitman, M. E., Tse, V., Mi, X., Willoughby, D. D., Peinado, A., Aivazidis, A., Myagmar, B., Simpson, P. C., Bayraktar, O. A., Yu, G., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01284-w · Cited by 128 · see citing works
Shi, W., Wei, X., Wang, X., Du, S., Liu, W., Song, J., & Wang, Y. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902680116 · Cited by 122 · see citing works
The Parvalbumin Hypothesis of Autism Spectrum Disorder
Filice, F., Janickova, L., Henzi, T., Bilella, A., & Schwaller, B. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.577525 · Cited by 114 · see citing works
Tewari, B. P., Chaunsali, L., Prim, C. E., & Sontheimer, H. W. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.1022754 · Cited by 107 · see citing works
Self-citationPathogenesis of peritumoral hyperexcitability in an immunocompetent CRISPR-based glioblastoma model
Hatcher, A., Yu, K., Meyer, J. F., Aiba, I., Deneen, B., & Noebels, J. L. (2020) · Journal of Clinical Investigation · doi:10.1172/jci133316 · Cited by 107 · see citing works
Montgomery, M. K., Kim, S. H., Dovas, A., Zhao, H., Goldberg, A., Xu, W., Yagielski, A. J., Cambareri, M. K., Patel, K., Mela, A., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.03.064 · Cited by 104 · see citing works
Mortazavi, A., Fayed, I., Bachani, M., Dowdy, T., Jahanipour, J., Khan, A. U., Owotade, J., Walbridge, S., Inati, S. K., Steiner, J. P., et al. (2022) · Neuro-Oncology · doi:10.1093/neuonc/noac003 · Cited by 92 · see citing works
Alaiyed, S., McCann, M., Mahajan, G., Rajkowska, G., Stockmeier, C. A., Kellar, K. J., Wu, J. Y., & Conant, K. (2020) · The Journal of Neuroscience · doi:10.1523/jneurosci.2387-19.2020 · Cited by 84 · see citing works
Astrocytes require perineuronal nets to maintain synaptic homeostasis in mice
Tewari, B. P., Woo, A. M., Prim, C. E., Chaunsali, L., Patel, D. C., Kimbrough, I. F., Engel, K., Browning, J. L., Campbell, S. L., & Sontheimer, H. W. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01714-3 · Cited by 78 · see citing works
Self-citationHuman pallial MGE-type GABAergic interneuron cell therapy for chronic focal epilepsy
Bershteyn, M., Bröer, S., Parekh, M. B., Maury, Y., Havlicek, S., Kriks, S., Fuentealba, L. C., Lee, S., Zhou, R., Subramanyam, G., et al. (2023) · Cell stem cell · doi:10.1016/j.stem.2023.08.013 · Cited by 75 · see citing works
Perineuronal nets in the insula regulate aversion‐resistant alcohol drinking
Chen, H., & Lasek, A. W. (2020) · Addiction Biology · doi:10.1111/adb.12821 · Cited by 73 · see citing works
Jung, E., Alfonso, J., Monyer, H., Wick, W., & Winkler, F. (2020) · International Journal of Cancer · doi:10.1002/ijc.33138 · Cited by 66 · see citing works
Perineuronal Net Dynamics in the Pathophysiology of Epilepsy
Chaunsali, L., Tewari, B. P., & Sontheimer, H. W. (2021) · Epiliepsy currents/Epilepsy currents · doi:10.1177/15357597211018688 · Cited by 60 · see citing works
Self-citationMultiscale recordings reveal the dynamic spatial structure of human seizures
Schevon, C. A., Tobochnik, S. D., Eissa, T. L., Merricks, E. M., Gill, B. J. A., Parrish, R. R., Bateman, L. M., McKhann, G. M., Emerson, R. G., & Trevelyan, A. J. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.03.015 · Cited by 56 · see citing works
Tantillo, E., Vannini, E., Cerri, C., Spalletti, C., Colistra, A., Mazzanti, C. M., Costa, M., & Caleo, M. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104942 · Cited by 56 · see citing works
Diurnal changes in perineuronal nets and parvalbumin neurons in the rat medial prefrontal cortex
Harkness, J. H., Gonzalez, A. E., Bushana, P. N., Jorgensen, E. T., Hegarty, D. M., Nardo, A. A. D., Prochiantz, A., Wisor, J. P., Aicher, S. A., Brown, T. E., et al. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02229-4 · Cited by 51 · see citing works
Yu, Z., Chen, N., Hu, D., Chen, W., Yuan, Y., Meng, S., Zhang, W., Lu, L., Han, Y., & Shi, J. (2020) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2020.00004 · Cited by 52 · see citing works
Alaiyed, S., Bozzelli, P. L., Caccavano, A., Wu, J. Y., & Conant, K. E. (2019) · Journal of Neurochemistry · doi:10.1111/jnc.14671 · Cited by 52 · see citing works
Perineuronal Nets: Subtle Structures with Large Implications
Carceller, H., Gramuntell, Y., Klimczak, P., & Nácher, J. (2022) · The Neuroscientist · doi:10.1177/10738584221106346 · Cited by 48 · see citing works
Epilepsy and brain tumors: Two sides of the same coin
Aronica, E., Ciusani, E., Coppola, A., Costa, C., Russo, E., Salmaggi, A., Perversi, F., & Maschio, M. C. E. (2023) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2023.120584 · Cited by 49 · see citing works
The fate of interneurons, GABA A receptor sub‐types and perineuronal nets in Alzheimer's disease
Ali, A. B., Islam, A., & Constanti, A. (2022) · Brain Pathology · doi:10.1111/bpa.13129 · Cited by 47 · see citing works
Potassium and glutamate transport is impaired in scar-forming tumor-associated astrocytes
Campbell, S. C., Muñoz‐Ballester, C., Chaunsali, L., Mills, W. A., Yang, J. H., Sontheimer, H. W., & Robel, S. (2019) · Neurochemistry International · doi:10.1016/j.neuint.2019.104628 · Cited by 49 · see citing works
Self-citationGlioblastoma disrupts cortical network activity at multiple spatial and temporal scales
Meyer, J. F., Yu, K., Luna-Figueroa, E., Deneen, B., & Noebels, J. L. (2024) · Nature Communications · doi:10.1038/s41467-024-48757-5 · Cited by 45 · see citing works
Converging Mechanisms of Epileptogenesis and Their Insight in Glioblastoma
Hills, K., Kostarelos, K., & Wykes, R. C. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.903115 · Cited by 42 · see citing works
Psychopharmacological properties and therapeutic profile of the antidepressant venlafaxine
Coutens, B., Yrondi, A., Rampon, C., & Guiard, B. P. (2022) · Psychopharmacology · doi:10.1007/s00213-022-06203-8 · Cited by 39 · see citing works
Inhibitory control in neuronal networks relies on the extracellular matrix integrity
Dzyubenko, E., Fleischer, M., Manrique‐Castano, D., Borbor, M., Kleinschnitz, C., Faissner, A., & Hermann, D. M. (2021) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-021-03861-3 · Cited by 39 · see citing works
Sánchez-Ventura, J., Giménez‐Llort, L., Penas, C., & Udina, E. (2020) · Experimental Neurology · doi:10.1016/j.expneurol.2020.113533 · Cited by 36 · see citing works
Enzymatic Degradation of Cortical Perineuronal Nets Reverses GABAergic Interneuron Maturation
Willis, A., Pratt, J. A., & MORRIS, B. J. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-02772-z · Cited by 35 · see citing works
From molecules to behavior: Implications for perineuronal net remodeling in learning and memory
Sanchez, B., Kraszewski, P., Lee, S., & Cope, E. C. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.16036 · Cited by 37 · see citing works
Blanco, I., & Conant, K. E. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14910 · Cited by 36 · see citing works
Old Stars and New Players in the Brain Tumor Microenvironment
Parmigiani, E., Scalera, M., Mori, E., Tantillo, E., & Vannini, E. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.709917 · Cited by 33 · see citing works
Regulation of the E/I-balance by the neural matrisome
Mueller-Buehl, C., Wegrzyn, D., Bauch, J., & Faissner, A. (2023) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2023.1102334 · Cited by 32 · see citing works
Glioma-Induced Alterations in Excitatory Neurons are Reversed by mTOR Inhibition
Goldberg, A. R., Dovas, A., Torres, D., Pereira, B., Viswanathan, A., Sharma, S. D., Mela, A., Merricks, E. M., Megino‐Luque, C., McInvale, J. J., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.12.026 · Cited by 34 · see citing works
Zhang, L., Xu, F., Xiao, D., Dong, J., Zhang, G., & Neri, F. (2022) · International Journal of Neural Systems · doi:10.1142/s0129065722500551 · Cited by 32 · see citing works
Николаевна, Б. А., Pershin, V. I., Zaborskaya, O. G., Tkachenko, N., Mironov, A. A., Guryev, E. L., Kurbatov, L. K., Gainullin, M., & Mukhina, I. V. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01033 · Cited by 32 · see citing works
The Role of Perineuronal Nets in Physiology and Disease: Insights from Recent Studies
Auer, S., Schicht, M., Hoffmann, L., Budday, S., Frischknecht, R., Blümcke, I., & Paulsen, F. P. (2025) · Cells · doi:10.3390/cells14050321 · Cited by 30 · see citing works
Mechanisms and therapeutic implications of glioma-neuron interactions
Wang, Y., Wang, Y., Bao, H., Wang, Z., & Jiang, T. (2025) · Cancer Letters · doi:10.1016/j.canlet.2025.217884 · Cited by 29 · see citing works
Strategies for developing complex multi-component in vitro tumor models: Highlights in glioblastoma
DePalma, T. J., Sivakumar, H., & Skardal, A. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.114067 · Cited by 28 · see citing works
Altered Relationship Between Parvalbumin and Perineuronal Nets in an Autism Model
Xia, D., Li, L., Yang, B., & Zhou, Q. (2021) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.597812 · Cited by 27 · see citing works
A Role for Matrix Metalloproteases in Antidepressant Efficacy
Alaiyed, S., & Conant, K. E. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00117 · Cited by 25 · see citing works
Liu, L., Zhang, Y., Men, S., Li, X., Hou, S., & Ju, J. (2023) · Hippocampus · doi:10.1002/hipo.23503 · Cited by 26 · see citing works
Gill, B. J. A., Khan, F. A., Goldberg, A., Merricks, E. M., Wu, X., Sosunov, A. A., Sudhakar, T. D., Dovas, A., Lado, W. E., Michalak, A. J., et al. (2022) · Brain · doi:10.1093/brain/awac168 · Cited by 26 · see citing works
Net gain and loss: influence of natural rewards and drugs of abuse on perineuronal nets
Brown, T. E., & Sorg, B. A. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-022-01337-x · Cited by 25 · see citing works
Dzyubenko, E., Willig, K. I., Yin, D., Sardari, M., Tokmak, E., Labus, P., Schmermund, B., & Hermann, D. M. (2023) · Journal of Biomedical Science · doi:10.1186/s12929-023-00971-x · Cited by 24 · see citing works
Kilonzo, V. W., Sweet, R. A., Glausier, J. R., & Pitts, M. W. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa082 · Cited by 24 · see citing works
The Role and Modulation of Spinal Perineuronal Nets in the Healthy and Injured Spinal Cord
Sánchez-Ventura, J., Lane, M. A., & Udina, E. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.893857 · Cited by 25 · see citing works
Glioma genetic profiles associated with electrophysiologic hyperexcitability
Tobochnik, S. D., Dorotan, M. K., Ghosh, H. S., Lapinskas, E., Vogelzang, J. R., Reardon, D. A., Ligon, K. L., Bi, W. L., Smirnakis, S. M., & Lee, J. W. (2023) · Neuro-Oncology · doi:10.1093/neuonc/noad176 · Cited by 24 · see citing works
Biology-driven material design for ischaemic stroke repair
Phan, N. V., Rathbun, E. M., Ouyang, Y., Carmichael, S. T., & Segura, T. (2023) · Nature Reviews Bioengineering · doi:10.1038/s44222-023-00117-6 · Cited by 26 · see citing works
Epilepsy in gliomas: recent insights into risk factors and molecular pathways
Rudà, R., Bruno, F., & Pellerino, A. (2023) · Current Opinion in Neurology · doi:10.1097/wco.0000000000001214 · Cited by 22 · see citing works
Zhang, Y., Guo, Z., Yang, L., Cheng, C., Gai, C., Gao, Y., Zhang, Y., Sun, H., & Hu, D. (2023) · Neurochemical Research · doi:10.1007/s11064-023-03970-4 · Cited by 22 · see citing works
Yang, T., Hu, S., Chang, W., Kao, H., & Wang, Y. (2022) · Developmental Neuroscience · doi:10.1159/000525039 · Cited by 20 · see citing works
Parvalbumin interneuron cell-to-network plasticity: mechanisms and therapeutic avenues
Hadler, M. D., Alle, H., & Geiger, J. R. P. (2024) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2024.04.003 · Cited by 20 · see citing works
Jorgensen, E. T., Gonzalez, A. E., Harkness, J. H., Hegarty, D. M., Thakar, A., Burchi, D. J., Aadland, J. A., Aicher, S. A., Sorg, B. A., & Brown, T. E. (2020) · Addiction Biology · doi:10.1111/adb.12947 · Cited by 20 · see citing works
Understanding the Role of Glia-Neuron Communication in the Pathophysiology of Epilepsy: A Review
Chen, P., Chen, F., & Zhou, B. (2022) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2104102 · Cited by 20 · see citing works
Picart, T., & Hervey‐Jumper, S. L. (2024) · Journal of Neuro-Oncology · doi:10.1007/s11060-024-04719-x · Cited by 19 · see citing works
Perineuronal Nets Alterations Contribute to Stress-Induced Anxiety-Like Behavior
Li, X., Ren, D., Luo, B., Liu, Z., Li, N.-Y., Zhou, T. G., & Fei, E. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03596-1 · Cited by 20 · see citing works
Grødem, S., Thompson, E. H., Røe, M. B., Vatne, G. H., Nymoen, I., Buccino, A. P., Otterstad, T., Hafting, T., Fyhn, M., & Lensjø, K. K. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-02894-5 · Cited by 19 · see citing works
Holter, M. C., Hewitt, L. T., Nishimura, K. J., Knowles, S. J., Bjorklund, G. R., Shah, S., Fry, N., Rees, K. P., Gupta, T. A., Daniels, C. W., et al. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa413 · Cited by 19 · see citing works
Nonneuronal contributions to synaptic function
Hodebourg, R., Scofield, M. D., Kalivas, P. W., & Kuhn, B. N. (2025) · Neuron · doi:10.1016/j.neuron.2025.04.004 · Cited by 17 · see citing works
Gill, B. J. A., Wu, X., Khan, F. A., Sosunov, A. A., Liou, J.-Y., Dovas, A., Eissa, T. L., Banu, M. A., Bateman, L. M., McKhann, G. M., et al. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.104676 · Cited by 18 · see citing works
Glioma facilitates the epileptic and tumor-suppressive gene expressions in the surrounding region
Komiyama, K., Iijima, K., Kawabata‐Iwakawa, R., Fujihara, K., Kakizaki, T., Yanagawa, Y., Yoshimoto, Y., & Miyata, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-10753-4 · Cited by 18 · see citing works
Estrogenic regulation of perineuronal nets in the mouse insular cortex and hippocampus
Nguyen, R., Rahyab, R., Deshpande, A., Legge, E., Almeida, J. F., Herz, S. M., Zylko, A. L., Damaj, M. I., & Lasek, A. W. (2025) · Neuropharmacology · doi:10.1016/j.neuropharm.2025.110641 · Cited by 17 · see citing works
The complex molecular epileptogenesis landscape of glioblastoma
Soeung, V., Puchalski, R. B., & Noebels, J. L. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101691 · Cited by 18 · see citing works
Gallucci, A., Patel, D. C., Thai, K., Trinh, J., Gude, R., Shukla, D., & Campbell, S. L. (2021) · Epilepsia · doi:10.1111/epi.16979 · Cited by 17 · see citing works
Self-citationNegwer, M., Piera, K., Hesen, R., Lütje, L., Aarts, L., Schubert, D., & Kasri, N. N. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02149-9 · Cited by 15 · see citing works
Woo, A. M., & Sontheimer, H. W. (2023) · Frontiers in Molecular Medicine · doi:10.3389/fmmed.2023.1198021 · Cited by 15 · see citing works
Self-citationProddutur, A., Nguyen, S. T., Yeh, C., Gupta, A. K., & Santhakumar, V. (2023) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2023.102542 · Cited by 13 · see citing works
Wingert, J. C., Ramos, J. D., Reynolds, S., Gonzalez, A. E., Rose, R. M., Hegarty, D. M., Aicher, S. A., Bailey, L. G., Brown, T. E., Abbas, A. I., et al. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.0468-24.2024 · Cited by 15 · see citing works
Bozzelli, P. L., Caccavano, A., Avdoshina, V., Mocchetti, I., Wu, J., & Conant, K. E. (2019) · Experimental Neurology · doi:10.1016/j.expneurol.2019.113077 · Cited by 15 · see citing works
Increased MMP-9 levels with strain-dependent stress resilience and tunnel handling in mice
Kennedy-Wood, K., Ng, C. A. S., Alaiyed, S., Foley, P. L., & Conant, K. E. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113288 · Cited by 14 · see citing works
Reorganization of the Brain Extracellular Matrix in Hippocampal Sclerosis
Sitaš, B., Bobić‐Rasonja, M., Mrak, G., Trnski, S., Skorić, M. K., Orešković, D., Knezović, V., Gadže, Ž. P., Petanjek, Z., Šimić, G., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23158197 · Cited by 14 · see citing works
Altered Extracellular Matrix as an Alternative Risk Factor for Epileptogenicity in Brain Tumors
de Jong, J. M., Broekaart, D. W. M., Bongaarts, A., Mühlebner, A., Mills, J. D., van Vliet, E. A., & Aronica, E. (2022) · Biomedicines · doi:10.3390/biomedicines10102475 · Cited by 14 · see citing works
Modulatory Effects of Monoamines and Perineuronal Nets on Output of Cerebellar Purkinje Cells
Hirono, M., Karube, F., & Yanagawa, Y. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.661899 · Cited by 14 · see citing works
Whitebirch, A. C., Santoro, B., Barnett, A., Lisgaras, C. P., Scharfman, H. E., & Siegelbaum, S. A. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.2091-22.2023 · Cited by 13 · see citing works
Přibylová, L., Ševčík, J., Eclerová, V., Klimeš, P., Brázdil, M., & Meijer, H. G. E. (2023) · Network Neuroscience · doi:10.1162/netn_a_00351 · Cited by 13 · see citing works
Daily oscillations of neuronal membrane capacitance
Severín, D., Moreno, C., Tran, T., Wesselborg, C., Shirley, S., Contreras, A., Kirkwood, A., & Golowasch, J. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114744 · Cited by 13 · see citing works
Hanssen, K. Ø., Grødem, S., Fyhn, M., Hafting, T., Einevoll, G. T., Ness, T. V., & Halnes, G. (2023) · Journal of Computational Neuroscience · doi:10.1007/s10827-023-00849-9 · Cited by 13 · see citing works
Matrix disequilibrium in Alzheimer’s disease and conditions that increase Alzheimer’s disease risk
Amontree, M., Deasy, S., Turner, R. S., & Conant, K. E. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1188065 · Cited by 12 · see citing works
Cross-species conservation in the regulation of parvalbumin by perineuronal nets
Wang, A. S., Wan, X., Storch, D.-S., Li, V. Y., Cornez, G., Balthazart, J., Cisneros-Franco, J. M., de Villers‐Sidani, E., & Sakata, J. T. (2023) · Frontiers in Neural Circuits · doi:10.3389/fncir.2023.1297643 · Cited by 12 · see citing works
Herrmann, T., Gerth, M., Dittmann, R., Pensold, D., Ungelenk, M., Liebmann, L., & Hübner, C. A. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.807090 · Cited by 12 · see citing works
Grimi, A., Bono, B., Lazzarin, S. M., Marcheselli, S., Pessina, F., & Riva, M. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25168953 · Cited by 11 · see citing works
Allami, P., Yazdanpanah, N., & Rezaei, N. (2025) · Reviews in the Neurosciences · doi:10.1515/revneuro-2024-0153 · Cited by 11 · see citing works
Liu, L., Zhang, Y., & Ju, J. (2022) · Neuroscience Letters · doi:10.1016/j.neulet.2022.136763 · Cited by 11 · see citing works
Early and Bi-hemispheric seizure onset in a rat glioblastoma Multiforme model
Hu, S., Kao, H., Yang, T., & Wang, Y. (2021) · Neuroscience Letters · doi:10.1016/j.neulet.2021.136351 · Cited by 11 · see citing works
Lu, M., Feng, R., Zhang, C., Xiao, Y., & Yin, C. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03382-z · Cited by 10 · see citing works
Coutens, B., Lejards, C., Bouisset, G., Verret, L., Rampon, C., & Guiard, B. P. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02519-x · Cited by 10 · see citing works
Modulation of stress-, pain-, and alcohol-related behaviors by perineuronal nets
Aguilar, J. S., & Lasek, A. W. (2024) · Neurobiology of Stress · doi:10.1016/j.ynstr.2024.100692 · Cited by 10 · see citing works
The excitatory milieu in glioma: Mechanisms and therapeutic avenues
Khalili, B. F., Dixit, K., Kamson, D. O., Horbinski, C., Przybyla, D. J., Tate, M. C., Heimberger, A. B., Lukas, R. V., & Templer, J. W. (2025) · Neuro-Oncology · doi:10.1093/neuonc/noaf063 · Cited by 10 · see citing works
Pathogenesis and Management of Brain Tumor-Related Epilepsy
Adhikari, S., Walker, B. C., & Mittal, S. (2021) · Exon Publications eBooks · doi:10.36255/exonpublications.gliomas.2021.chapter12 · Cited by 10 · see citing works
Szekeres‐Paraczky, C., Szocsics, P., Erőss, L., Fabó, D., Mód, L., & Maglóczky, Z. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23094746 · Cited by 10 · see citing works
Hu, J., Zhang, S., Wu, H., Wang, L., Zhang, Y., Gao, H., Li, M., Ren, H. G., Xiao, H., Guo, K., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02938-4 · Cited by 10 · see citing works
- Authors
- Tewari, B. P., Chaunsali, L., Campbell, S. L., Patel, D. C., Goode, A. E., & Sontheimer, H.
- Affiliations
- Carilion Clinic (US)
- Corresponding author
- Sontheimer, Harald
- Venue
- Nature Communications
- Published
- 2018-11-09
- Volume
- 9
- Issue
- 1
- Pages
- 4724-4724
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC6226462
- OpenAlex
- W2900125538
- Cited by
- 208
- References
- 64
- Citations by year
- 2026: 24 · 2025: 38 · 2024: 28 · 2023: 30 · 2022: 31 · 2021: 24 · 2020: 20 · 2019: 13
- FWCI
- 11.14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- VTechWorks (Virginia Tech) (submittedVersion, cc-by)
- Funders
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (R01NS052634, R01NS036692, R01NS082851)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- perineuronal nets, fast-spiking interneurons, membrane capacitance, tumor-associated epilepsy, GABAergic inhibition, proteolytic enzymes, tumor microenvironment, excitatory-inhibitory imbalance, epilepsy treatment
- MeSH terms
- Action Potentials, Animals, Brain Neoplasms, Cell Membrane, Disease Models, Animal, Epilepsy, Extracellular Matrix, Female, Glioma, Gliosis, Interneurons, Male, Mice, Nude, Peptide Hydrolases, Mice, SCID, Electric Capacitance, Biophysical Phenomena
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.
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