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Dual leucine zipper kinase (DLK), expressed primarily in neuronal cells, is a regulator of neuronal degeneration in response to cellular stress from chronic disease or neuronal injury. This makes it an attractive target for the treatment of neurodegenerative diseases such as Alzheimer's, Parkinson's, and amyotrophic lateral sclerosis, and neuronal injury, such as chemotherapy-induced peripheral neuropathy. Here, we describe the discovery of a potent, selective, brain-penetrant DLK inhibitor, KAI-11101 ( 59 ). Throughout the program's progression, medicinal chemistry challenges such as potency, hERG inhibition, CNS penetration, CYP3A time-dependent inhibition, and kinase selectivity were overcome through the implementation of cutting-edge in silico tools. KAI-11101 displayed an excellent in vitro safety profile and showed neuroprotective properties in an ex vivo axon fragmentation assay as well as dose-dependent activity in a mouse PD model.

Objective: Previous research has demonstrated different cannabis-related outcomes depending on the goal of cannabis use (i.e., recreational, medical, a hybrid of both), underscoring the need to identify variables associated with specific goals of use, particularly in understudied populations., Method: This report used data from a national survey of menopausal individuals using nonprobability sampling. Respondents reporting current regular (≥1x/month) cannabis use (medical n = 35; recreational n = 61; and hybrid n = 102) were included in multivariate logistic regression analyses examining demographic, clinical (e.g., menopause-related symptomatology), and cannabis-related variables associated with the goal of cannabis use., Results: Overall, an increased number of medical conditions was associated with medical and hybrid use relative to recreational use ( p s ≤ .047), and greater menopause-related symptomatology was associated with medical relative to hybrid use ( p = .001). Lower education level was associated with hybrid relative to recreational use ( p = .010). Lastly, more varied modes of use was associated with hybrid use relative to medical and recreational use ( p s ≤ .001)., Conclusions: Results suggest that medical and hybrid consumers with more medical conditions and more severe clinical symptoms that are not sufficiently alleviated by conventional treatments may be more open to cannabinoid-based therapies. In addition, because a lower education level is often associated with recreational cannabis use, results suggest that hybrid consumers may begin as recreational consumers who then expand their use for medical purposes. Further, more varied modes of use for hybrid consumers may reflect different product selections based on the goal of use. Future research should investigate the etiology of hybrid cannabis use and predictors of long-term outcomes associated with goals of use.

Despite the success of first, second, and third generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) for non-small cell lung cancer with classical EGFR mutations (L858R or Exon 19 deletions), disease progression occurs due to the acquisition of T790M and C797S resistance. Herein, we report a physics-based computationally driven lead identification approach that identified structurally unique imidazo[3.2- b ]pyrazoles as reversible and wild-type-sparing EGFR TKIs of classical mutations bearing both T790M and C797S. During profiling of imidazo[3.2- b ]pyrazoles, we elucidated the bioactivation mechanism causing CYP3A4/5 time-dependent inhibition (TDI) and found key modifications to mitigate the TDI. Compound 31 inhibited EGFR L858R/T790M/C797S in biochemical assays with a K i = 2.1 nM and EGFR del19/T790M/C797S in a Ba/F3 cellular assay with an IC 50 = 56.9 nM. The deuterated analogue of 31 ( 38 ) demonstrated dose-dependent tumor growth inhibition in a Ba/F3 EGFR del19/T790M/C797S CDX model by 47% at 50 mg/kg BID and 92% at 100 mg/kg BID.

Background: Despite the significance of menopause as a natural biological milestone experienced by approximately half the population, few studies have evaluated factors associated with menopause-related shame and stigma. Given previous research indicating increased shame and stigma are associated with negative outcomes that directly impact health ( e.g., reduced access to health care), it is critical to identify variables associated with menopause-related shame and stigma. Materials and Methods: As part of a larger, national survey, 214 perimenopausal ( n  = 111) and postmenopausal ( n  = 103) individuals completed self-report questionnaires assessing demographics and menopause-related symptoms, shame, and stigma. Regression analyses examined variables associated with shame and stigma. Results: Over a third of respondents reported feeling shame related to their menopause-related symptoms (37.4%), while the majority of respondents reported feeling stigma associated with symptoms (82.7%). In addition, most respondents endorsed talking about their symptoms with friends, family, partners, or doctors (80.8%), and felt that their peers might experience the same symptoms (93.9%). Regression analyses identified several significant predictor variables; in particular, more severe psychosocial and urogenital symptoms, higher education level, and younger age were significantly associated with greater odds of reporting shame and stigma. Conclusions: Overall, findings suggest that even though menopausal individuals report feeling their symptoms are similar to their peers, shame and stigma are significantly associated with these symptoms, which may be impacted by symptom severity and socioeconomic factors. Results suggest that younger individuals ( i.e., those just entering perimenopause) with more education may be more likely to feel shame and stigma, which could inform interventional strategies and improve clinical outcomes.

Increasing numbers of individuals have access to cannabinoid-based products containing various amounts of delta-9-tetrahydrocannabinol (THC), cannabidiol (CBD), and other cannabinoids. Exposure to specific cannabinoids likely influences outcomes; however, current methods for quantifying cannabis exposure do not account for the cannabinoid concentrations of the products used. We developed CannaCount, an examiner-driven metric that quantifies estimated maximum possible cannabinoid exposure by accounting for variables related to cannabinoid concentration, duration, frequency, and quantity of use. To demonstrate feasibility and applicability, CannaCount was used to quantify estimated maximum THC and CBD exposure in 60 medical cannabis patients enrolled in a two-year, longitudinal, observational study. Medical cannabis patients reported using a variety of product types and routes of administration. Calculating estimated exposure to THC and CBD was possible for the majority of study visits, and the ability to generate estimated cannabinoid exposure improved over time, likely a function of improved product labeling, laboratory testing, and more informed consumers. CannaCount is the first metric to provide estimated maximum possible exposure to individual cannabinoids based on actual cannabinoid concentrations. This metric will ultimately facilitate cross-study comparisons and can provide researchers and clinicians with detailed information regarding exposure to specific cannabinoids, which will likely have significant clinical impact., (© 2023. The Author(s).)

Background: Suicide is a leading cause of death, and rates of attempted suicide have increased during the COVID-19 pandemic. The under-diagnosed psychiatric phenotype of dissociation is associated with elevated suicidal self-injury; however, it has largely been left out of attempts to predict and prevent suicide. Objective: We designed an artificial intelligence approach to identify dissociative patients and predict prior suicide attempts in an unbiased, data-driven manner. Method: Participants were 30 controls and 93 treatment-seeking female patients with posttraumatic stress disorder (PTSD) and various levels of dissociation, including some with the PTSD dissociative subtype and some with dissociative identity disorder (DID). Results: Unsupervised learning models identified patients along a spectrum of dissociation. Moreover, supervised learning models accurately predicted prior suicide attempts with an F 1 score up to 0.83. DID had the highest risk of prior suicide attempts, and distinct subtypes of dissociation predicted suicide attempts in PTSD and DID. Conclusions: These findings expand our understanding of the dissociative phenotype and underscore the urgent need to assess for dissociation to identify individuals at high-risk of suicidal self-injury.

Background: Previous studies have demonstrated abnormal white matter (WM) microstructure in recreational cannabis consumers; however, the long-term impact of medical cannabis (MC) use on WM coherence is unknown. Accordingly, this study assessed the longitudinal impact of MC treatment on WM coherence. Given results from preclinical studies, we hypothesized that MC treatment would be associated with increased fractional anisotropy (FA) and reduced mean diffusivity (MD). Methods: As part of a larger, longitudinal investigation, patients interested in treating at least one medical condition with commercially available MC products of their choosing were assessed before initiating MC use (baseline n =37; female=25, male=12) and following three ( n =31) and six ( n =22) months of treatment. WM coherence was assessed via diffusion tensor imaging for bilateral regions of interest including the genu of the corpus callosum, anterior limb of the internal capsule, external capsule, and anterior corona radiata, as well as an occipital control region not expected to change over time. Results: In MC patients, FA values significantly increased bilaterally in several callosal regions relative to baseline following both 3 and 6 months of treatment; MD values significantly decreased in all callosal regions but only following 6 months of treatment. No significant changes in WM coherence were observed in the control region or in a pilot sample of treatment-as-usual patients (baseline n =14), suggesting that increased WM coherence observed in MC patients may be attributed to MC treatment as opposed to confounding factors. Interestingly, significant reductions in MD values correlated with higher cannabidiol (CBD) exposure but not Δ-9-tetrahydrocannabinol exposure. Conclusions: Overall, MC treatment was associated with increased WM coherence, which contrasts with prior research examining recreational cannabis consumers, likely related to inherent differences between recreational consumers and MC patients (e.g., product choice, age of onset). In addition, increased CBD exposure was associated with reduced MD following 6 months of treatment, extending evidence from preclinical research indicating that CBD may be neuroprotective against demyelination. However, additional research is needed to elucidate the clinical efficacy of MC treatment and the risks and benefits of long-term MC use.

Background: Evidence suggests cannabidiol (CBD) has anxiolytic properties, indicating potential for novel treatment strategies. However, few clinical trials of CBD-based products have been conducted, and none thus far have examined the impact of these products on cognition., Methods: For the open-label stage of clinical trial NCT02548559, autoregressive linear modeling assessed efficacy and tolerability of four-weeks of 1 mL t.i.d. treatment with a full-spectrum, high-CBD sublingual solution (9.97 mg/mL CBD, 0.23 mg/mL Δ-9-tetrahydrocannabinol) in 14 outpatients with moderate-to-severe anxiety, defined as ≥16 on the Beck Anxiety Inventory (BAI) or ≥11 on the Overall Anxiety Severity and Impairment Scale (OASIS)., Results: Findings suggest significant improvement on primary outcomes measuring anxiety and secondary outcomes assessing mood, sleep, quality of life, and cognition (specifically executive function) following treatment. Anxiety is significantly reduced at week 4 relative to baseline (BAI: 95% CI = [-21.03, -11.40], p < 0.001, OASIS: 95% CI = [-9.79, -6.07], p < 0.001). Clinically significant treatment response (≥15% symptom reduction) is achieved and maintained as early as week 1 in most patients (BAI = 78.6%, OASIS = 92.7%); cumulative frequency of treatment responders reached 100% by week 3. The study drug is well-tolerated, with high adherence/patient retention and no reported intoxication or serious adverse events. Minor side effects, including sleepiness/fatigue, increased energy, and dry mouth are infrequently endorsed., Conclusions: Results provide preliminary evidence supporting efficacy and tolerability of a full-spectrum, high-CBD product for anxiety. Patients quickly achieve and maintain symptom reduction with few side effects. A definitive assessment of the impact of this novel treatment on clinical symptoms and cognition will be ascertained in the ongoing double-blind, placebo-controlled stage., (© 2022. The Author(s).)

Objective: Expanding access to legal cannabis has dovetailed with increased interest in medical cannabis (MC) use; however, there is a paucity of research examining MC use to alleviate menopause-related symptoms. This survey study assessed patterns of MC use in perimenopausal and postmenopausal individuals., Methods: Participants (perimenopausal, n = 131; postmenopausal, n = 127) completed assessments of menopause-related symptomatology and cannabis use, including modes of use, type of use, and menopause-related symptoms addressed by MC use., Results: Most participants reported current cannabis use (86.1%) and endorsed using MC for menopause-related symptoms (78.7%). The most common modes of use were smoking (84.3%) and edibles (78.3%), and the top menopause-related symptoms for MC use were sleep disturbance (67.4%) and mood/anxiety (46.1%). Relative to postmenopausal participants, perimenopausal participants reported significantly worse menopause-related symptomatology on the vasomotor and psychosocial subscales of the Menopause-Specific Quality of Life Questionnaire ( P s ≤ 0.04), including greater burden of anxiety ( P = 0.01) and hot flash ( P = 0.04) symptoms. In addition, perimenopausal participants reported higher incidence of depression ( P = 0.03) and anxiety diagnoses ( P < 0.01), as well as increased use of MC to treat menopause-related mood/anxiety symptoms relative to postmenopausal participants ( P = 0.01)., Conclusions: Results suggest that many individuals are currently using MC as an adjunctive treatment for menopause-related symptoms, particularly sleep disturbance and mood/anxiety. Future research should examine the impact of different MC use characteristics (e.g., cannabinoid profiles) on the efficacy of MC use for menopause-related symptoms. Increased severity and prevalence of mood and anxiety symptoms in perimenopausal participants suggest promising targets for clinical trials of cannabinoid-based therapies., Competing Interests: Financial disclosures/conflicts of interest: S.A.G. reported grants from the National Institute on Drug Abuse, Foria/Praxis Ventures, and Charlotte's Web outside the submitted work. S.A.G. also reported personal fees from the Coalition for Cannabis Policy, Education, and Regulation; Beth Israel Deaconess; Fenway Health; Greenwich Biosciences Cannabis Education Working Group; and National Academy of Neuropsychology outside the submitted work. M.K.D. reported receiving the McLean Hospital Jonathan Edward Brooking Mental Health Research Fellowship outside the submitted work. K.A.S. received the McLean Hospital Eleanor and Miles Shore Fellowship and the Charles Robert Broderick III Phytocannabinoid Research Fellowship, and reported personal fees from the Coalition for Cannabis Policy, Education, and Regulation outside the submitted work. All authors report no biomedical financial interests or potential conflicts of interest. No other disclosures were reported., (Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The North American Menopause Society.)

d-Serine is a coagonist of the N -methyl d-aspartate (NMDA) receptor, a key excitatory neurotransmitter receptor. In the brain, d-serine is synthesized from its l-isomer by serine racemase and is metabolized by the D-amino acid oxidase (DAO, DAAO). Many studies have linked decreased d-serine concentration and/or increased DAO expression and enzyme activity to NMDA dysfunction and schizophrenia. Thus, it is feasible to employ DAO inhibitors for the treatment of schizophrenia and other indications. Powered by the Schrödinger computational modeling platform, we initiated a research program to identify novel DAO inhibitors with the best-in-class properties. The program execution leveraged an hDAO FEP+ model to prospectively predict compound potency. A new class of DAO inhibitors with desirable properties has been discovered from this endeavor. Our modeling technology on this program has not only enhanced the efficiency of structure-activity relationship development but also helped to identify a previously unexplored subpocket for further optimization.