Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 13 de 13
Filter
Add more filters










Publication year range
1.
ACS Chem Biol ; 19(4): 999-1010, 2024 04 19.
Article in English | MEDLINE | ID: mdl-38513196

ABSTRACT

Nonreceptor tyrosine kinase c-Src plays a crucial role in cell signaling and contributes to tumor progression. However, the development of selective c-Src inhibitors turns out to be challenging. In our previous study, we performed posttranslational modification-inspired drug design (PTMI-DD) to provide a plausible way for designing selective kinase inhibitors. In this study, after identifying a unique pocket comprising a less conserved cysteine and an autophosphorylation site in c-Src as well as a promiscuous covalent inhibitor, chemical optimization was performed to obtain (R)-LW-Srci-8 with nearly 75-fold improved potency (IC50 = 35.83 ± 7.21 nM). Crystallographic studies revealed the critical C-F···C═O interactions that may contribute to tight binding. The kinact and Ki values validated the improved binding affinity and decreased warhead reactivity of (R)-LW-Srci-8 for c-Src. Notably, in vitro tyrosine kinase profiling and cellular activity-based protein profiling (ABPP) cooperatively indicated a specific inhibition of c-Src by (R)-LW-Srci-8. Intriguingly, (R)-LW-Srci-8 preferentially binds to inactive c-Src with unphosphorylated Y419 both in vitro and in cells, subsequently disrupting the autophosphorylation. Collectively, our study demonstrated the feasibility of developing selective kinase inhibitors by cotargeting a nucleophilic residue and a posttranslational modification site and providing a chemical probe for c-Src functional studies.


Subject(s)
CSK Tyrosine-Protein Kinase , Protein Kinase Inhibitors , Humans , CSK Tyrosine-Protein Kinase/antagonists & inhibitors , CSK Tyrosine-Protein Kinase/metabolism , Phosphorylation/drug effects , Protein Kinase Inhibitors/chemistry , Protein Kinase Inhibitors/pharmacology , Protein-Tyrosine Kinases/antagonists & inhibitors , Signal Transduction , src-Family Kinases
2.
Bioorg Chem ; 143: 106963, 2024 Feb.
Article in English | MEDLINE | ID: mdl-38048700

ABSTRACT

Nicotinamide N-methyltransferase (NNMT) catalyzes the transfer of a methyl group from S-adenosylmethionine (SAM) to nicotinamide (NAM) and other pyridine-related compounds and is involved in various metabolic processes in the human body. In addition, abnormal expression of NNMT occurs under various pathological conditions such as cancer, diabetes, metabolic disorders, and neurodegenerative diseases, making it a promising drug target worthy of in-depth research. Small-molecule NNMT inhibitors with high potency and selectivity are necessary chemical tools to test biological hypotheses and potential therapies. In this study, we developed a series of highly active NNMT inhibitors by modifying N7 position of adenine. Among them, compound 3-12 (IC50 = 47.9 ± 0.6 nM) exhibited potent inhibitory activity and also had an excellent selectivity profile over a panel of human methyltransferases. We showed that the N7 position of adenine in the NNMT bisubstrate inhibitor was a modifiable site, thus offering insights into the development of NNMT inhibitors.


Subject(s)
Nicotinamide N-Methyltransferase , Tubercidin , Humans , Nicotinamide N-Methyltransferase/chemistry , Nicotinamide N-Methyltransferase/metabolism , Tubercidin/metabolism , Niacinamide/pharmacology , Adenine , Secondary Metabolism
3.
J Psychiatr Res ; 145: 309-316, 2022 01.
Article in English | MEDLINE | ID: mdl-33229034

ABSTRACT

BACKGROUND: Neural mechanisms underlying internet gaming disorder (IGD) are important for diagnostic considerations and treatment development. However, neurobiological underpinnings of IGD remain relatively poorly understood. METHODS: We employed multi-voxel pattern analysis (MVPA), a machine-learning approach, to examine the potential of neural features to statistically predict IGD status and treatment outcome (percentage change in weekly gaming time) for IGD. Cue-reactivity fMRI-task data were collected from 40 male IGD subjects and 19 male healthy control (HC) subjects. 23 IGD subjects received 6 weeks of craving behavioral intervention (CBI) treatment. MVPA was applied to classify IGD subjects from HCs and statistically predict clinical outcomes. RESULTS: MVPA displayed a high (92.37%) accuracy (sensitivity of 90.00% and specificity of 94.74%) in the classification of IGD and HC subjects. The most discriminative brain regions that contribute to classification were the bilateral middle frontal gyrus, precuneus, and posterior lobe of the right cerebellum. MVPA statistically predicted clinical outcomes in the craving behavioral intervention (CBI) group (r = 0.48, p = 0.0032). The most strongly implicated brain regions in the prediction model were the right middle frontal gyrus, superior frontal gyrus, supramarginal gyrus, anterior/posterior lobes of the cerebellum and left postcentral gyrus. CONCLUSIONS: The findings about cue-reactivity neural correlates could help identify IGD subjects and predict CBI-related treatment outcomes provide mechanistic insight into IGD and its treatment and may help promote treatment development efforts.


Subject(s)
Behavior, Addictive , Video Games , Behavior, Addictive/diagnostic imaging , Behavior, Addictive/therapy , Brain/diagnostic imaging , Brain Mapping , Craving/physiology , Cues , Humans , Internet , Internet Addiction Disorder , Magnetic Resonance Imaging , Male
4.
Addict Biol ; 26(2): e12917, 2021 03.
Article in English | MEDLINE | ID: mdl-32415913

ABSTRACT

Alterations in brain connectivity have been implicated in internet gaming disorder (IGD). However, little is known about alterations in whole-brain connectivity and their associations with long-term treatment outcomes. Here, we used a relatively new analytic approach, intrinsic connectivity distribution (ICD) analysis, to examine brain connectivity in 74 IGD participants and 41 matched healthy controls (HCs) and conducted post hoc seed-based resting-state functional connectivity (rsFC) analyses based on the ICD findings. We also examined how these findings related to outcomes involving a craving behavioral intervention (CBI) for IGD. IGD participants showed less whole-brain connectivity in the left angular gyrus and ventromedial prefrontal cortex (vmPFC) compared with HC participants. Seed-based rsFC analyses revealed that the left angular gyrus in the IGD group showed less connectivity with areas involved in the default-mode network and greater connectivity with areas in the salience and executive control networks. CBI was associated with improved connectivity within regions in the default-mode network and regions across the default-mode and salience networks. ICD-identified connectivity differences in the left angular gyrus and vmPFC were related to changes in craving and severity of addiction 6 months after the intervention. The findings suggest that IGD is associated with alterations in brain connectivity that may be sensitive to interventions. Thus, the findings have implications for understanding mechanisms underlying CBI effects and for further treatment development.


Subject(s)
Internet Addiction Disorder/pathology , Internet Addiction Disorder/therapy , Prefrontal Cortex/pathology , Psychotherapy/methods , Behavior, Addictive/diagnostic imaging , Behavior, Addictive/pathology , Behavior, Addictive/therapy , Craving , Humans , Internet Addiction Disorder/diagnostic imaging , Magnetic Resonance Imaging , Male , Prefrontal Cortex/diagnostic imaging
5.
Addict Biol ; 26(4): e12969, 2021 07.
Article in English | MEDLINE | ID: mdl-33047425

ABSTRACT

Internet gaming disorder (IGD), a worldwide mental health issue, has been widely studied using neuroimaging techniques during the last decade. Although dysfunctions in resting-state functional connectivity have been reported in IGD, mapping relationships from abnormal connectivity patterns to behavioral measures have not been fully investigated. Connectome-based predictive modeling (CPM)-a recently developed machine-learning approach-has been used to examine potential neural mechanisms in addictions and other psychiatric disorders. To identify the resting-state connections associated with IGD, we modified the CPM approach by replacing its core learning algorithm with a support vector machine. Resting-state functional magnetic resonance imaging (fMRI) data were acquired in 72 individuals with IGD and 41 healthy comparison participants. The modified CPM was conducted with respect to classification and regression. A comparison of whole-brain and network-based analyses showed that the default-mode network (DMN) is the most informative network in predicting IGD both in classification (individual identification accuracy = 78.76%) and regression (correspondence between predicted and actual psychometric scale score: r = 0.44, P < 0.001). To facilitate the characterization of the aberrant resting-state activity in the DMN, the identified networks have been mapped into a three-subsystem division of the DMN. Results suggest that individual differences in DMN function at rest could advance our understanding of IGD and variability in disorder etiology and intervention outcomes.


Subject(s)
Behavior, Addictive/physiopathology , Connectome , Internet Addiction Disorder/physiopathology , Support Vector Machine , Video Games/psychology , Adult , Brain/physiopathology , Executive Function , Humans , Magnetic Resonance Imaging , Male , Neural Pathways/physiopathology , Young Adult
6.
Psychiatry Res ; 288: 112953, 2020 06.
Article in English | MEDLINE | ID: mdl-32302814

ABSTRACT

A series of unexplained pneumonia appeared in Wuhan, Hubei Province, China, which is highly contagious. The virus is prone to nervous and anxious psychological reactions. In the objective environment of complex and densely populated hospitals, it is a high-risk area for virus-transmitted infections and children generally have lower immunity who are more likely to develop infections. The results showed that the mental health problems of parents of hospitalized children during the epidemic were more serious, and the anxiety and depression were more obvious.


Subject(s)
Child, Hospitalized , Coronavirus Infections , Pandemics , Parents , Pneumonia, Viral , Adult , Anxiety/epidemiology , Betacoronavirus , COVID-19 , Child , China/epidemiology , Coronavirus Infections/psychology , Depression/epidemiology , Female , Humans , Male , Parent-Child Relations , Parents/psychology , Pneumonia, Viral/psychology , SARS-CoV-2
7.
Front Psychiatry ; 9: 154, 2018.
Article in English | MEDLINE | ID: mdl-29740358

ABSTRACT

Internet gaming disorder (IGD) is characterized by cognitive and emotional deficits. Previous studies have reported the co-occurrence of IGD and depression. However, extant brain imaging research has largely focused on cognitive deficits in IGD. Few studies have addressed the comorbidity between IGD and depression symptoms and underlying neural mechanisms. Here, we systematically investigated this issue by combining a longitudinal survey study, a cross-sectional resting-state functional connectivity (rsFC) study and an intervention study. Autoregressive cross-lagged modeling on a longitudinal dataset of college students showed that IGD severity and depression are reciprocally predictive. At the neural level, individuals with IGD exhibited enhanced rsFC between the left amygdala and right dorsolateral prefrontal cortex (DLPFC), inferior frontal and precentral gyrus, compared with control participants, and the amygdala-frontoparietal connectivity at the baseline negatively predicted reduction in depression symptoms following a psychotherapy intervention. Further, following the intervention, individuals with IGD showed decreased connectivity between the left amygdala and left middle frontal and precentral gyrus, as compared with the non-intervention group. These findings together suggest that IGD may be closely associated with depression; aberrant rsFC between emotion and executive control networks may underlie depression and represent a therapeutic target in individuals with IGD. Registry name: The behavioral and brain mechanism of IGD; URL: https://www.clinicaltrials.gov/ct2/show/NCT02550405; Registration number: NCT02550405.

8.
Addict Biol ; 23(1): 337-346, 2018 01.
Article in English | MEDLINE | ID: mdl-27894158

ABSTRACT

Psychobehavioral intervention is an effective treatment of Internet addiction, including Internet gaming disorder (IGD). However, the neural mechanisms underlying its efficacy remain unclear. Cortical-ventral striatum (VS) circuitry is a common target of psychobehavioral interventions in drug addiction, and cortical-VS dysfunction has been reported in IGD; hence, the primary aim of the study was to investigate how the VS circuitry responds to psychobehavioral interventions in IGD. In a cross-sectional study, we examined resting-state functional connectivity of the VS in 74 IGD subjects (IGDs) and 41 healthy controls (HCs). In a follow-up craving behavioral intervention (CBI) study, of the 74 IGD subjects, 20 IGD subjects received CBI (CBI+) and 16 IGD subjects did not (CBI-). All participants were scanned twice with similar time interval to assess the effects of CBI. IGD subjects showed greater resting-state functional connectivity of the VS to left inferior parietal lobule (lIPL), right inferior frontal gyrus and left middle frontal gyrus, in positive association with the severity of IGD. Moreover, compared with CBI-, CBI+ showed significantly greater decrease in VS-lIPL connectivity, along with amelioration in addiction severity following the intervention. These findings demonstrated that functional connectivity between VS and lIPL, each presumably mediating gaming craving and attentional bias, may be a potential biomarker of the efficacy of psychobehavioral intervention. These results also suggested that non-invasive techniques such as transcranial magnetic or direct current stimulation targeting the VS-IPL circuitry may be used in the treatment of Internet gaming disorders.


Subject(s)
Behavior Therapy , Behavior, Addictive/rehabilitation , Cerebral Cortex/diagnostic imaging , Craving , Internet , Ventral Striatum/diagnostic imaging , Video Games , Behavior, Addictive/diagnostic imaging , Behavior, Addictive/physiopathology , Case-Control Studies , Cerebral Cortex/physiopathology , Cross-Sectional Studies , Functional Neuroimaging , Humans , Magnetic Resonance Imaging , Male , Neural Pathways/diagnostic imaging , Neural Pathways/physiopathology , Ventral Striatum/physiopathology , Young Adult
9.
Front Psychol ; 8: 526, 2017.
Article in English | MEDLINE | ID: mdl-28443046

ABSTRACT

Craving, as a central feature of addiction and a precursor of relapse, is targeted recently in addiction intervention. While Internet gaming disorder (IGD), conceptualized as a behavioral addiction, is lack of effective treatment practice and exploration of its mechanism. This research aims to test the effectiveness and detect the active ingredients of craving behavior intervention (CBI) in mitigation of IGD among young adults. A total of 63 male college students with IGD were assigned into the intervention group (six-session CBI intervention) or the waiting-list control group. Structured questionnaires were administered at pre-intervention (T1), post-intervention (T2), 3-month follow-up (T3), and 6-month follow-up (T4). Compared to the control group, a significant decrease in the severity of IGD in intervention group was found at post-intervention and lasting to 6 months after intervention. The value changes of craving could partially mediate the relationship between intervention and changes of IGD among all effects tests (immediate, T2-T1; short-term, T3-T1; and long-term effects, T4-T1). Further, explorations of the active ingredients of intervention found depression relief and shift of psychological needs from Internet to real life significantly predict craving amelioration at both post-intervention and 6-month follow-up. Although preliminary, the current study provides evidence for the value of craving-aimed intervention practice in IGD treatment and identifies two potential active ingredients for mitigation of craving, and the long-term therapeutic benefits are further conferred. Registry name: The behavioral and brain mechanism of IGD; URL: https://www.clinicaltrials.gov/ct2/show/NCT02550405; Registration number: NCT02550405.

10.
Neuroimage Clin ; 14: 741-749, 2017.
Article in English | MEDLINE | ID: mdl-28413776

ABSTRACT

Risk-taking is purported to be central to addictive behaviors. However, for Internet gaming disorder (IGD), a condition conceptualized as a behavioral addiction, the neural processes underlying impaired decision-making (risk evaluation and outcome processing) related to gains and losses have not been systematically investigated. Forty-one males with IGD and 27 healthy comparison (HC) male participants were recruited, and the cups task was used to identify neural processes associated with gain- and loss-related risk- and outcome-processing in IGD. During risk evaluation, the IGD group, compared to the HC participants, showed weaker modulation for experienced risk within the bilateral dorsolateral prefrontal cortex (DLPFC) (t = - 4.07; t = - 3.94; PFWE  < 0.05) and inferior parietal lobule (IPL) (t = - 4.08; t = - 4.08; PFWE  < 0.05) for potential losses. The modulation of the left DLPFC and bilateral IPL activation were negatively related to addiction severity within the IGD group (r = - 0.55; r = - 0.61; r = - 0.51; PFWE  < 0.05). During outcome processing, the IGD group presented greater responses for the experienced reward within the ventral striatum, ventromedial prefrontal cortex, and orbitofrontal cortex (OFC) (t = 5.04, PFWE  < 0.05) for potential gains, as compared to HC participants. Within the IGD group, the increased reward-related activity in the right OFC was positively associated with severity of IGD (r = 0.51, PFWE  < 0.05). These results provide a neurobiological foundation for decision-making deficits in individuals with IGD and suggest an imbalance between hypersensitivity for reward and weaker risk experience and self-control for loss. The findings suggest a biological mechanism for why individuals with IGD may persist in game-seeking behavior despite negative consequences, and treatment development strategies may focus on targeting these neural pathways in this population.


Subject(s)
Brain Mapping , Decision Making/physiology , Gambling/diagnostic imaging , Gambling/physiopathology , Internet , Risk-Taking , Adolescent , Adult , Analysis of Variance , Brain/diagnostic imaging , Chi-Square Distribution , Female , Humans , Image Processing, Computer-Assisted , Magnetic Resonance Imaging , Male , Oxygen/blood , Surveys and Questionnaires , Young Adult
11.
Neuroimage Clin ; 12: 591-599, 2016.
Article in English | MEDLINE | ID: mdl-27699148

ABSTRACT

Internet gaming disorder (IGD) is characterized by high levels of craving for online gaming and related cues. Since addiction-related cues can evoke increased activation in brain areas involved in motivational and reward processing and may engender gaming behaviors or trigger relapse, ameliorating cue-induced craving may be a promising target for interventions for IGD. This study compared neural activation between 40 IGD and 19 healthy control (HC) subjects during an Internet-gaming cue-reactivity task and found that IGD subjects showed stronger activation in multiple brain areas, including the dorsal striatum, brainstem, substantia nigra, and anterior cingulate cortex, but lower activation in the posterior insula. Furthermore, twenty-three IGD subjects (CBI + group) participated in a craving behavioral intervention (CBI) group therapy, whereas the remaining 17 IGD subjects (CBI - group) did not receive any intervention, and all IGD subjects were scanned during similar time intervals. The CBI + group showed decreased IGD severity and cue-induced craving, enhanced activation in the anterior insula and decreased insular connectivity with the lingual gyrus and precuneus after receiving CBI. These findings suggest that CBI is effective in reducing craving and severity in IGD, and it may exert its effects by altering insula activation and its connectivity with regions involved in visual processing and attention bias.


Subject(s)
Behavior, Addictive/physiopathology , Brain Stem/physiopathology , Cerebral Cortex/physiopathology , Craving/physiology , Cues , Internet , Neostriatum/physiopathology , Video Games/psychology , Adult , Behavior, Addictive/diagnostic imaging , Brain Stem/diagnostic imaging , Cerebral Cortex/diagnostic imaging , Female , Gyrus Cinguli/diagnostic imaging , Gyrus Cinguli/physiopathology , Humans , Magnetic Resonance Imaging , Male , Neostriatum/diagnostic imaging , Substantia Nigra/diagnostic imaging , Substantia Nigra/physiopathology , Young Adult
12.
Sci Rep ; 6: 28109, 2016 07 06.
Article in English | MEDLINE | ID: mdl-27381822

ABSTRACT

Internet gaming disorder (IGD) has become a serious mental health issue worldwide. Evaluating the benefits of interventions for IGD is of great significance. Thirty-six young adults with IGD and 19 healthy comparison (HC) subjects were recruited and underwent resting-state fMRI scanning. Twenty IGD subjects participated in a group craving behavioral intervention (CBI) and were scanned before and after the intervention. The remaining 16 IGD subjects did not receive an intervention. The results showed that IGD subjects showed decreased amplitude of low fluctuation in the orbital frontal cortex and posterior cingulate cortex, and exhibited increased resting-state functional connectivity between the posterior cingulate cortex and dorsolateral prefrontal cortex, compared with HC subjects. Compared with IGD subjects who did not receive the intervention, those receiving CBI demonstrated significantly reduced resting-state functional connectivity between the: (1) orbital frontal cortex with hippocampus/parahippocampal gyrus; and, (2) posterior cingulate cortex with supplementary motor area, precentral gyrus, and postcentral gyrus. These findings suggest that IGD is associated with abnormal resting-state neural activity in reward-related, default mode and executive control networks. Thus, the CBI may exert effects by reducing interactions between regions within a reward-related network, and across the default mode and executive control networks.


Subject(s)
Behavior, Addictive/physiopathology , Brain Mapping/methods , Craving/physiology , Frontal Lobe/physiopathology , Gyrus Cinguli/physiopathology , Behavior, Addictive/psychology , Case-Control Studies , Female , Humans , Internet , Magnetic Resonance Imaging/methods , Male , Video Games/psychology , Young Adult
13.
AIDS Educ Prev ; 22(4): 344-55, 2010 Aug.
Article in English | MEDLINE | ID: mdl-20707694

ABSTRACT

BACKGROUND: The objective of this pilot study was to evaluate the initial efficacy of a protection motivation theory-based behavioral HIV prevention intervention in increasing HIV knowledge, condom use perception, condom use intention and consistent condom use among female rural-to-urban migrants in Beijing, China. Three hundred female migrants were assigned to the intervention group (N = 200) and control group (N = 100). Data were collected at baseline and a 4-month follow-up. The results suggest that HIV-related knowledge, condom use perceptions, condom use intention and condom use skills at the follow-up were significantly improved among female migrants in the intervention group compared with those in the control group. Moreover, a significantly higher rate of consistent condom use at post intervention was found compared with that at baseline in the intervention group (17.0% vs. 32.0%, p < .05) but not in the control group (23.8% vs. 29.2%, ns). The current study suggests that the theory-based intervention can be efficacious in increasing HIV knowledge, condom use perceptions and skills, and consistent condom use among female rural-to-urban migrants in China.


Subject(s)
HIV Infections/prevention & control , Health Knowledge, Attitudes, Practice , Sexual Behavior , Transients and Migrants , China , Condoms , Female , Humans , Logistic Models , Pilot Projects , Population Dynamics/trends , Risk Reduction Behavior , Self Efficacy , Young Adult
SELECTION OF CITATIONS
SEARCH DETAIL
...