Isolation of Human Milk Difucosyl Nona- and Decasaccharides by Ultrahigh-Temperature Preparative PGC-HPLC and Identification of Novel Difucosylated Heptaose and Octaose Backbones by Negative-Ion ESI-MSn.

Despite their many important physiological functions, past work on the diverse sequences of human milk oligosaccharides (HMOs) has been focused mainly on the highly abundant HMOs with a relatively low degree of polymerization (DP) due to the lack of efficient methods for separation/purification and high-sensitivity sequencing of large-sized HMOs with DP ≥ 10. Here we established an ultrahigh-temperature preparative HPLC based on a porous graphitized carbon column at up to 145 °C to overcome the anomeric α/ß splitting problem and developed further the negative-ion ESI-CID-MS/MS into multistage MSn using a combined product-ion scanning of singly charged molecular ion and doubly charged fragment ion of the branching Gal and adjacent GlcNAc residues. The separation and sequencing method allows efficient separation of a neutral fraction with DP ≥ 10 into 70 components, among which 17 isomeric difucosylated nona- and decasaccharides were further purified and sequenced. As a result, novel branched difucosyl heptaose and octaose backbones were unambiguously identified in addition to the conventional linear and branched octaose backbones. The novel structures of difucosylated DF-novo-heptaose, DF-novo-LNO I, and DF-novo-LNnO I were corroborated by NMR. The various fucose-containing Lewis epitopes identified on different backbones were confirmed by oligosaccharide microarray analysis.

Assessment of CYP-Mediated Drug Interactions for Enasidenib Based on a Cocktail Study in Patients with Relapse or Refractory Acute Myeloid Leukemia or Myelodysplastic Syndrome.

As a selective and potent inhibitor targeting the isocitrate dehydrogenase-2 (IDH2) mutant protein, enasidenib obtained approval from the US Food and Drug Administration (FDA) in 2017 for adult patients with acute myeloid leukemia (AML) with an IDH2 mutation. In vitro investigations demonstrated that enasidenib affects various drug metabolic enzymes and transporters. This current investigation aimed to assess enasidenib on the pharmacokinetics (PKs) of CYP substrates, including dextromethorphan (CYP2D6 probe drug), flurbiprofen (CYP2C9 probe drug), midazolam (CYP3A4 probe drug), omeprazole (CYP2C19 probe drug), and pioglitazone (CYP2C8 probe drug), in patients with AML or myelodysplastic syndrome. Results showed that following the co-administration of enasidenib (100 mg, once daily) for 28 days, the PK parameters AUC(0-∞) and Cmax of dextromethorphan increased by 1.37 (90% confidence interval (CI): 0.96, 1.96) and 1.24 (90% CI: 0.94, 1.65)-fold, respectively, compared to dextromethorphan alone. For flurbiprofen, these parameters increased by 1.14 (90%CI: 1.01, 1.29) and 0.97 (90% CI 0.86, 1.08)-fold, respectively, when compared to flurbiprofen alone. Conversely, midazolam exhibited decreases to 0.57 (90% CI 0.34, 0.97) and 0.77 (90% CI 0.39, 1.53)-fold, respectively, in comparison to midazolam alone. The parameters for omeprazole increased by 1.86 (90% CI: 1.33, 2.60) and 1.47 (0.93, 2.31)-fold, respectively, compared to omeprazole alone, while those for pioglitazone decreased to 0.80 (90% CI: 0.62, 1.03) and 0.87 (90% CI: 0.65, 1.16)-fold, respectively, in comparison to pioglitazone alone. These findings provide valuable insights into dose recommendations concerning drugs acting as substrates of CYP2D6, CYP2C9, CYP3A4, CYP2C19, and CYP2C8 when administered concurrently with enasidenib.

A Phase I, Open-Label, Mass Balance Study of [14C]-Iberdomide in Healthy Subjects.

BACKGROUND: Iberdomide is a novel potent cereblon modulator (CELMoD®) agent, which is currently under clinical development for hematological malignancies. A human mass balance study was conducted to characterize the biotransformation and excretion pathways of iberdomide. METHOD: After a single dose of radiolabelled [14C]-iberdomide (1 mg) in six healthy subjects. Blood, urine, and fecal samples were collected for pharmacokinetics, mass balance, and clinical laboratory assessments. RESULTS: Results showed that a single oral dose of 1 mg iberdomide was generally well tolerated in healthy subjects. The recovery of [14C]-iberdomide-derived radioactivity in humans was 45.9% in urine and 42.6% in feces. Based on exposure (area under the concentration-time curve [AUC0-24]), iberdomide and M12 (metabolites) accounted for approximately 59% and 14% of circulating total radioactivity (TRA) exposure, respectively. Of the 88.5% TRA excreted, approximately 27% was excreted as unchanged iberdomide and 62% as metabolites, with similar amounts of excreted metabolites in the urine (16%) and feces (11%). CONCLUSION: Biotransformation of iberdomide in humans included multiple oxidations of the morpholino moiety as well as glutarimide ring hydrolysis of parent and oxidized metabolites and a combination of these pathways. Iberdomide was the predominant component in human plasma, with metabolite M12 being the most prominent circulating metabolite. In excreta, similar iberdomide-derived radioactivity was found in urine and feces. TRIAL REGISTRATION NUMBER: NCT03294603.

Emotion-Aware Scene Adaptation: A Bandwidth-Efficient Approach for Generating Animated Shorts.

Semantic communication technology in the 6G wireless system focuses on semantic extraction in communication, that is, only the inherent meaning of the intention in the information. Existing technologies still have challenges in extracting emotional perception in the information, high compression rates, and privacy leakage due to knowledge sharing in communication. Large-scale generative-model technology could rapidly generate multimodal information according to user requirements. This paper proposes an approach that leverages large-scale generative models to create animated short films that are semantically and emotionally similar to real scenes and characters. The visual content of the data source is converted into text expression through semantic understanding technology; emotional clues from the data source media are added to the text form through reinforcement learning technology; and finally, a large-scale generative model is used to generate visual media, which is consistent with the semantics of the data source. This paper develops a semantic communication process with distinct modules and assesses the enhancements garnered from incorporating an emotion enhancement module. This approach facilitates the expedited generation of broad media forms and volumes according to the user's intention, thereby enabling the creation of generated multimodal media within applications in the metaverse and in intelligent driving systems.

Integrating Full Bayesian Inference and Student's t-Distribution Method for Enhanced Outlier Handling in Caffeine Population Pharmacokinetics: Assessing Drug-Drug Interactions with Enasidenib in Relapsed or Refractory AML and MDS Patients.

As the first-in-class, selective, and potent inhibitor of the isocitrate dehydrogenase-2 (IDH2) mutant protein, enasidenib was approved by the US Food and Drug Administration (FDA) in 2017 for the treatment of adult patients with relapsed or refractory acute myeloid leukemia (AML) with an IDH2 mutation. Known for its interactions with various cytochrome P450 (CYP) enzymes and transporters in vitro, a clinical pharmacokinetics (PK) trial was initiated to assess the impact of multiple doses of enasidenib on the single-dose PK of sensitive probe substrates of several cytochrome P450 enzymes and transporters. In this study, a population pharmacokinetic analysis approach was employed to address challenges posed by high, nonzero baseline caffeine concentrations. Moreover, we integrated full Bayesian inference into this approach innovatively for a more detailed understanding of parameter uncertainty and greater modeling flexibility, alongside Student's t-distribution for robust error modeling in handling the abnormal outlier caffeine concentration data observed in this trial. Our analyses demonstrated that multiple doses of enasidenib altered caffeine clearance to a clinically meaningful extent, as evidenced by an approximate 8-fold decrease. This finding led to a specific recommendation in the package insert to avoid the concurrent use of certain CYP1A2 substrates with enasidenib, unless directed otherwise in the prescribing information. Furthermore, this research underlines the technical benefits of integrating full Bayesian inference and incorporating Student's t-distribution for residual error modeling in the PK field.

Exploring Transformer Model in Longitudinal Pharmacokinetic/Pharmacodynamic Analyses and Comparing with Alternative Natural Language Processing Models.

There remains a substantial need for a comprehensive assessment of various natural language processing (NLP) algorithms in longitudinal pharmacokinetic/pharmacodynamic (PK/PD) modeling despite recent advances in machine learning in the space of quantitative pharmacology. We herein investigated the application of the transformer model and further compared the performance among several different NLP models, including long short-term memory (LSTM) and neural-ODE (Ordinary Differential Equation) in analyzing longitudinal PK/PD data using virtual data containing three different regimens. Results suggested that LSTM and neural-ODE, along with their respective variants provide a strong performance when predicting from training-included (seen) regimens, albeit with slight information loss for training-excluded (unseen) regimens. Similarly, as with neural-ODE, the transformer exhibited superior performance in describing time-series PK/PD data. Nonetheless, when extrapolating to unseen regimens, while outlining the general data trends, it encountered difficulties in precisely capturing data fluctuations. Remarkably, a small integration of unseen data into the training dataset significantly bolsters predictive performance for both seen and unseen regimens. Our study marks a pioneering effort in deploying the transformer model for time-series PK/PD analysis and provides a systematic exploration of the currently available NLP models in this field.

The value of Korean, American, and Chinese ultrasound risk stratification systems combined with BRAF(V600E) mutation for detecting papillary thyroid carcinoma in cytologically indeterminate thyroid nodules.

PURPOSE: To investigate the value of Korean, American, and Chinese ultrasound risk stratification systems combined with BRAF(V600E) mutation in the detection of papillary thyroid carcinoma (PTC)within cytologically indeterminate thyroid nodules (CITNs). METHODS: A single-center retrospective study encompassed 511 CITNs selected from 509 patients between January 2020 and July 2023.Each nodule underwent surgical treatment and was classified according to three distinct systems. Receiver operating characteristic (ROC) curves were plotted using histopathological diagnosis as the reference standard, and diagnostic performance was compared. RESULTS: The three ultrasound stratification systems showed an elevated malignant risk with increasing grades (all P for trend2 < 0.001). The cut-off values for Korean, American, and Chinese systems were 5, 5, and 4c, and their respective area under the curves (AUCs) were 0.735, 0.778, and 0.783.The combination of BRAF (V600E) mutation significantly enhanced the diagnostic efficacy for the Korean(0.773vs0.735, P < 0.001), American (0.809vs0.778, P < 0.001) and Chinese (0.815vs0.783, P < 0.001) stratification systems in distinguishing CITNs without compromising specificity. When the three stratification systems were applied individually or combined with BRAF (V600E) mutation, the AUCs of the American and Chinese systems were similar (all P > 0.05), both of which were higher than the AUC of the Korean system (all P < 0.05). The American system exhibited higher specificity compared to the Chinese and Korean systems (all P < 0.001), whereas the Chinese system demonstrated higher sensitivity and accuracy when compared to the American and Korean systems (all P < 0.001). CONCLUSION: Korean, American and Chinese stratification systems present potential in the differential diagnosis of CITNs. BRAF (V600E) mutation can significantly improve the detection rate of malignant nodules within CTNs, particularly PTC. Notably, the American and Chinese systems demonstrate superior overall diagnostic performance among these systems.

A CRISPR-Cas9 library screening identifies CARM1 as a critical inhibitor of ferroptosis in hepatocellular carcinoma cells.

Ferroptosis is an iron-catalyzed form of regulated cell death that results from the accumulation of lipid peroxidation products and reactive oxygen species to a lethal content. However, the transcriptional regulation of ferroptosis is not well understood. Sorafenib, a standard drug for hepatocellular carcinoma (HCC), induces ferroptosis in HCC cells. In this study, we conducted a CRISPR-Cas9 library screening targeting epigenetic factors and identified coactivator-associated arginine methyltransferase 1 (CARM1) as a critical inhibitor of ferroptosis. CARM1 depletion intensified Sorafenib-induced ferroptosis, resulting in decreased cell viability, reduced cellular glutathione level, increased lipid peroxidation, and altered mitochondrial crista structure. Additionally, we investigated a CARM1 inhibitor (CARM1i) as a potential ferroptosis inducer. Combining the CARM1i with Sorafenib enhanced the induction of ferroptosis. Notably, both CARM1 knockdown and CARM1i showed cooperative effects with Sorafenib in inhibiting HCC growth in mice. The underlying mechanism involves CARM1-catalyzed H3R26me2a on the promoter of glutathione peroxidase 4, leading to its transcriptional activation and subsequent ferroptosis inhibition. Furthermore, Sorafenib treatment induced the transcription of CARM1 through the MDM2-p53 axis. In summary, our findings establish CARM1 as a critical ferroptosis inhibitor and highlight the potential of CARM1is as novel ferroptosis inducers, providing promising therapeutic strategies for HCC treatment.

Blood transcriptomics mirror regulatory mechanisms during hibernation-a comparative analysis of the Djungarian hamster with other mammalian species.

Hibernation enables many species of the mammalian kingdom to overcome periods of harsh environmental conditions. During this physically inactive state metabolic rate and body temperature are drastically downregulated, thereby reducing energy requirements (torpor) also over shorter time periods. Since blood cells reflect the organism´s current condition, it was suggested that transcriptomic alterations in blood cells mirror the torpor-associated physiological state. Transcriptomics on blood cells of torpid and non-torpid Djungarian hamsters and QIAGEN Ingenuity Pathway Analysis (IPA) revealed key target molecules (TMIPA), which were subjected to a comparative literature analysis on transcriptomic alterations during torpor/hibernation in other mammals. Gene expression similarities were identified in 148 TMIPA during torpor nadir among various organs and phylogenetically different mammalian species. Based on TMIPA, IPA network analyses corresponded with described inhibitions of basic cellular mechanisms and immune system-associated processes in torpid mammals. Moreover, protection against damage to the heart, kidney, and liver was deduced from this gene expression pattern in blood cells. This study shows that blood cell transcriptomics can reflect the general physiological state during torpor nadir. Furthermore, the understanding of molecular processes for torpor initiation and organ preservation may have beneficial implications for humans in extremely challenging environments, such as in medical intensive care units and in space.

2L polyethylene glycol combined with castor oil versus 4L polyethylene glycol for bowel preparation before colonoscopy among inpatients.

Inpatients are more likely to have inadequate bowel preparation compared to outpatients. Although experts recommend 4L split polyethylene glycol (PEG) preparation, bowel preparation with castor oil (CaO) was recently found to reduce the volume of solution required. The aim of the study was to evaluate the cleansing effect and safety of 2L-PEG with Cao in bowel preparation among inpatients. Our study retrospectively analyzed the medical records and colonoscopy reports of inpatients (n = 1251) who underwent colonoscopy in the Affiliated Changzhou No.2 People Hospital of Nanjing Medical University, and the inpatients were divided into 2L-PEG-CaO and 4L-PEG group according to different bowel preparation protocols. Boston Bowel Preparation Scale (BBPS) is used to assess bowel preparation efficacy before colonoscopy. Furthermore, we also calculated other outcomes, such as polyp or adenoma detection rates and adverse events. A total of 1251 patients undergoing colonoscopy were included in this study, 738 were taken 4L-PEG and 513 2L-PEG-CaO. Both inpatients groups were matched for baseline characteristics. The 2L-PEG-CaO group was significantly higher than the 4L-PEG group on both BBPS (7.26 ± 1.75 vs 7.06 ± 1.58, P = .043) and adequate bowel cleansing rates (83.2% vs 77.4%, P = .011). Regarding adverse events, the 4L-PEG group was significantly higher than the 2L-PEG-CaO group on the incidence of abdominal fullness (6.4% vs 9.6%, P = .045) and adverse events (33.7% vs 28.5%, P = .048). The 2L split PEG with CaO preparation increased quality of bowel cleansing and improved tolerance in inpatients. Bowel preparation with 2L-PEG-CaO is suitable alternative to traditional 4L split PEG bowel preparation for colonoscopy of inpatients.

A novel T-cell proliferation-associated gene predicts prognosis and reveals immune infiltration in patients with oral squamous cell carcinoma.

OBJECTIVE: Oral squamous cell carcinoma (OSCC) is a highly malignant tumour, and the prediction of its prognosis remains challenging. The prognostic value of T-lymphocyte proliferation regulators in OSCC remains to be explored. DESIGN: We integrated mRNA expression profiles and relevant clinical information of OSCC patients from The Cancer Genome Atlas database. The expression and function of T-lymphocyte proliferation regulators and their relationship with overall survival (OS) were analysed. The T-lymphocyte proliferation regulator signature was screened using univariate Cox regression and least absolute shrinkage and selection operator coefficients and used to construct models for prognosis and staging prediction as well as for immune infiltration analysis. Final validation was performed using single-cell sequencing database and immunohistochemical staining. RESULTS: Most T-lymphocyte proliferation regulators in the TCGA cohort exhibited different expression levels between OSCC and paracancerous tissues. A prognostic model constructed using the T-lymphocyte proliferation regulator signature (RAN, CDK1, and CDK2) was used to categorise patients into high- and low-risk groups. The OS was significantly lower in the high-risk group than the low-risk group (p < 0.01). The predictive ability of the T-lymphocyte proliferation regulator signature was validated by receiver operating characteristic curve analysis. Immune infiltration analysis revealed different immune statuses in both groups. CONCLUSIONS: We established a new T-lymphocyte proliferation regulator signature that can predict the prognosis of OSCC. The results of this study will contribute to studies of T-cell proliferation and the immune microenvironment in OSCC to improve prognosis and immunotherapeutic response.

Exposure-Response Analysis to Assess the Concentration-QTc Relationship of Iberdomide.

Iberdomide is an orally available cereblon-modulating agent being developed for the treatment of hematologic malignancies and autoimmune-mediated diseases. To assess the potential concentration-QTc relationship in humans and to ascertain or exclude a potential QT effect by iberdomide, a plasma concentration and ΔQTcF (change from baseline of corrected QT interval using the Fridericia formula) model of iberdomide was developed. Iberdomide concentration and paired high-quality, intensive electrocardiogram signal from a single-ascending-dose study in healthy subjects (N = 56) were included in the analysis. The primary analysis was based on a linear mixed-effect model with ΔQTcF as the dependent variable; iberdomide plasma concentration and baseline QTcF as continuous covariates; treatment (active or placebo) and time as a categorical factor; and a random intercept per subject. The predicted change from baseline and placebo corrected (ΔΔQTcF) at the observed geometric mean maximum plasma concentration and 2-sided 90% confidence intervals at different dose levels were calculated. The upper bound of the 90% confidence interval of the model-predicted ΔΔQTcF effect at maximum concentration from the supratherapeutic dose of 6 mg (2.54 milliseconds) is <10-millisecond threshold, suggesting that iberdomide does not have a clinically relevant QT prolongation liability.

A Phase 1, Multicenter, Open-Label Study to Evaluate the Pharmacokinetics of Iberdomide in Subjects with Mild, Moderate, or Severe Hepatic Impairment Compared with Healthy Subjects.

Introduction: Iberdomide, a novel cereblon modulator (CELMoD®), is currently under clinical investigation for hematology indications. To evaluate the influence of hepatic impairment on the pharmacokinetics (PK) of iberdomide and its major active metabolite M12, a phase 1, multicenter, open-label study was conducted in healthy subjects and subjects with mild, moderate, and severe hepatic impairment. Methods: Forty subjects were enrolled in the study and divided into five groups based on hepatic function. 1 mg iberdomide was administered and plasma samples were collected to evaluate the pharmacokinetics of iberdomide and M12. Results: After a single dose of iberdomide (1 mg), mean iberdomide Cmax (maximum observed concentration) and AUC (area under the concentration-time curve) exposure were generally comparable between hepatic impairment (HI) subjects (severe, moderate and mild) and their respective matched normal controls. Mean Cmax and AUC exposure of the metabolite M12 were generally comparable between mild HI and matched normal subjects. However, mean Cmax of the M12 was 30% and 65% lower and AUC was 57% and 63% lower in moderate and severe HI subjects as compared to their respective matched normal controls. However, given the relatively low M12 exposure as compared to its parent drug, the observed differences were not considered clinically meaningful. Conclusion: In summary, 1 mg single oral dose of iberdomide was generally well-tolerated. HI (mild, moderate or severe) had no clinically relevant impact on iberdomide PK and therefore, no dose adjustment is warranted.

Hemolytic iron regulation in traumatic brain injury and alcohol use.

Hemorrhage is a major component of traumatic brain injury (TBI). Red blood cells, accumulated at the hemorrhagic site, undergo hemolysis upon energy depletion and release free iron into the central nervous system. This iron must be managed to prevent iron neurotoxicity and ferroptosis. As prior alcohol consumption is often associated with TBI, we examined iron regulation in a rat model of chronic alcohol feeding subjected to fluid percussion-induced TBI. We found that alcohol consumption prior to TBI altered the expression profiles of the lipocalin 2/heme oxygenase 1/ferritin iron management system. Notably, unlike TBI alone, TBI following chronic alcohol consumption sustained the expression of all three regulatory proteins for 1, 3, and 7 days post-injury. In addition, alcohol significantly affected TBI-induced expression of ferritin light chain at 3 days post-injury. We also found that alcohol exacerbated TBI-induced activation of microglia at 7 days post-injury. Finally, we propose that microglia may also play a role in iron management through red blood cell clearance.

Model-based analysis for the population pharmacokinetics of iberdomide and its major active metabolite in healthy subjects and patients with relapsed and refractory multiple myeloma.

AIMS: A parent-metabolite population pharmacokinetic (popPK) model of iberdomide and its pharmacologically active metabolite (M12) was developed and the influence of demographic and disease-related covariates on popPK parameters was assessed based on data from 3 clinical studies of iberdomide (dose range, 0.1-6 mg) in healthy subjects (n = 81) and patients with relapsed and refractory multiple myeloma (n 245). METHODS: Nonlinear mixed effects modelling was used to develop the popPK model based on data from 326 subjects across 3 clinical studies. RESULTS: The pharmacokinetics (PK) of iberdomide were adequately described with a 2-compartment model with first-order absorption and elimination. A first-order conversion rate was used to link the 1-compartment linear elimination metabolite model with the parent model. Subject type (multiple myeloma patients vs. healthy subject) was a statistically significant covariate on apparent clearance and apparent volume of distribution for the central compartment, suggesting different PK between patients with multiple myeloma and healthy subjects. Aspartate aminotransferase and sex were statistically but not clinically relevant covariates on apparent clearance. Metabolite (M12) PK tracked the PK of iberdomide. The metabolite to parent ratio was consistent across doses and combinations. CONCLUSION: The parent-metabolite population PK model adequately described the time course PK data of iberdomide and M12. Iberdomide and M12 PK exposure were not complicated by demographic factors (age [19-82 y], body weight [41-172 kg], body surface area [1.4-2.7 m2 ], body mass index [16.4-59.3 kg/m2 ]), combination (in combination with dexamethasone and daratumumab), mild hepatic, or mild and moderate renal impairments. The model can be used to guide the dosing strategy for special patient population and inform future iberdomide study design.

Age-dependent increase of cytoskeletal components in sensory axons in human skin.

Aging is a complex process characterized by several molecular and cellular imbalances. The composition and stability of the neuronal cytoskeleton is essential for the maintenance of homeostasis, especially in long neurites. Using human skin biopsies containing sensory axons from a cohort of healthy individuals, we investigate alterations in cytoskeletal content and sensory axon caliber during aging via quantitative immunostainings. Cytoskeletal components show an increase with aging in both sexes, while elevation in axon diameter is only evident in males. Transcriptomic data from aging males illustrate various patterns in gene expression during aging. Together, the data suggest gender-specific changes during aging in peripheral sensory axons, possibly influencing cytoskeletal functionality and axonal caliber. These changes may cumulatively increase susceptibility of aged individuals to neurodegenerative diseases.

Iberdomide plus dexamethasone in heavily pretreated late-line relapsed or refractory multiple myeloma (CC-220-MM-001): a multicentre, multicohort, open-label, phase 1/2 trial.

BACKGROUND: Iberdomide is a novel cereblon E3 ligase modulator with enhanced tumouricidal and immune-stimulatory effects compared with immunomodulatory drugs. In preclinical myeloma models, iberdomide has shown synergy with dexamethasone, proteasome inhibitors, and CD38 monoclonal antibodies. We aimed to evaluate the safety and clinical activity of iberdomide plus dexamethasone in patients with heavily pretreated relapsed or refractory multiple myeloma. METHODS: We conducted a multicohort, open-label, phase 1/2 trial (CC-220-MM-001) at 42 treatment centres in Europe, Canada, and the USA. Patients aged 18 years or older with multiple myeloma who had received at least two previous lines of therapy, including lenalidomide or pomalidomide and a proteasome inhibitor, were enrolled into the dose-escalation cohort. Patients received escalating doses of oral iberdomide (0·3-1·6 mg on days 1-21 of each 28-day cycle) plus oral dexamethasone (40 mg [20 mg if age >75 years] once per week). A dose-expansion cohort at the recommended phase 2 dose was planned for patients who had received at least three previous lines of therapy and had triple-class refractory disease (refractory to immunomodulatory drugs, proteasome inhibitors, and CD38 antibodies). Treatment continued until progressive disease or unacceptable toxicity. The primary outcomes were the recommended phase 2 dose (in the dose-escalation cohort, phase 1) and overall response rate (defined as complete response or partial response; in the dose-expansion cohort, phase 2) in the full analysis set. This trial is ongoing and is registered with ClinicalTrials.gov, NCT02773030. FINDINGS: Between Dec 5, 2016, and Dec 16, 2020, 460 patients were assessed for eligibility across all cohorts and 197 were enrolled and treated with iberdomide plus dexamethasone (90 patients in the dose-escalation cohort and 107 in the dose-expansion cohort). In the dose-escalation cohort, 47 (52%) patients were female and 43 (48%) were male, 70 (78%) were White, and the median number of previous lines of therapy was 5 (IQR 4-8). In the dose-expansion cohort, 47 (44%) were female and 60 (56%) were male, 84 (79%) were White, and the median number of previous lines of therapy was 6 (IQR 5-8). At data cutoff (June 2, 2021), median follow-up was 5·8 months (IQR 3·0-13·7) in the dose-escalation cohort and 7·7 months (5·3-11·4) in the dose-expansion cohort. Two dose-limiting toxicities (both infections, at 1·2 mg and 1·3 mg) were observed in the dose-escalation cohort, and 1·6 mg was selected as the recommended phase 2 dose. In the dose-escalation cohort, the overall response rate was 32% (95% CI 23-43; 29 of 90 patients) across all doses, and the maximum tolerated dose was not reached. In the dose-expansion cohort, the overall response rate was 26% (95% CI 18-36; 28 of 107 patients). The most common grade 3 or worse adverse events were neutropenia (48 [45%] of 107 patients), anaemia (30 [28%]), infection (29 [27%]), and thrombocytopenia (23 [22%]). Serious adverse events occurred in 57 (53%) patients. There was one (1%) treatment-related death (sepsis) and five (5%) patients discontinued iberdomide due to adverse events. INTERPRETATION: Iberdomide plus dexamethasone was generally safe and showed meaningful clinical activity in heavily pretreated patients with multiple myeloma, including in disease that was refractory to immunomodulatory drugs. These data suggest that further evaluation of iberdomide plus dexamethasone or other standard antimyeloma therapies is warranted. FUNDING: Bristol Myers Squibb.

Aiding early clinical drug development by elucidation of the relationship between tumor growth inhibition and survival in relapsed/refractory multiple myeloma patients.

Early prognosis of clinical efficacy is an urgent need for oncology drug development. Herein, we systemically examined the quantitative approach of tumor growth inhibition (TGI) and survival modeling in the space of relapsed and refractory multiple myeloma (MM), aiming to provide insights into clinical drug development. Longitudinal serum M-protein and progression-free survival (PFS) data from three phase III studies (N = 1367) across six treatment regimens and different patient populations were leveraged. The TGI model successfully described the longitudinal M-protein data in patients with MM. The tumor inhibition and growth parameters were found to vary as per each study, likely due to the patient population and treatment regimen difference. Based on a parametric time-to-event model for PFS, M-protein reduction at week 4 was identified as a significant prognostic factor for PFS across the three studies. Other factors, including Eastern Cooperative Oncology Group performance status, prior anti-myeloma therapeutics, and baseline serum ß2-microglobulin level, were correlated with PFS as well. In conclusion, patient disease characteristics (i.e., baseline tumor burden and treatment lines) were important determinants of tumor inhibition and PFS in MM patients. M-protein change at week 4 was an early prognostic biomarker for PFS.

Enhancement of Thermoelectric Performance in Bi0.5Sb1.5Te3 Particulate Composites Including Ferroelectric BaTiO3 Nanodots.

An increasing number of studies have reported producing composite structures by combining thermoelectric and functional materials. However, combining energy filtering and ferroelectric polarization to enhance the dimensionless figure of merit thermoelectric ZT remains elusive. Here we report a composite that contains nanostructured BaTiO3 embedded in a Bi0.5Sb1.5Te3 matrix. We show that ferroelectric BaTiO3 particles are evenly composited with Bi0.5Sb1.5Te3 grains reducing the concentration of free charge carriers with increasing BaTiO3 content. Additionally, as a result of the energy-filtering effect and ferroelectric polarization, the Seebeck coefficient was improved by ∼10% with a ∼10% improvement in power factors. The BaTiO3 phase can effectively scatters phonons reducing lattice thermal conductivity κl (0.5 W m-1 K-1) and increasing ZT to 1.31 at 363 K in Bi0.5Sb1.5Te3 composites with 2 vol % BaTiO3 content giving an improvement of ∼25% over pure Bi0.5Sb1.5Te3. Our work indicates that the introduction of ferroelectric nanoparticles is an effective method for optimizing the ZT of Bi0.5Sb1.5Te3-based thermoelectric materials.

Risk management in sustainable supply chain: a knowledge map towards intellectual structure, logic diagram, and conceptual model.

The global spread of COVID-19, international trade protectionism, geopolitical conflicts, and climate change presents challenges and risks to sustainable supply chains (SSCs). In recent years, scholarly interest in sustainable supply chain risk management (SSCRM) has continued to rise. A helpful literature review is necessary to enable supply chain practitioners to apply empirical findings from academic research or conceptual frameworks to their operations to maintain the stability and competitiveness of sustainable supply chains. The knowledge map of SSCRM is explored in this study using both quantitative and qualitative analysis. A total of 793 articles were retrieved to reveal the knowledge map of SSCRM. Scientometric and context analysis are combined in quantitative analysis to identify the intellectual structure of risk management research related to SSC. Then, a critical review is conducted in qualitative analysis to summarize and analyze the motivations, strategies, approaches, and tools of SSCRM. Combining the quantitative and qualitative analysis results, a conceptual model is constructed for SSCRM from three aspects: (1) risk identification, (2) risk assessment, and (3) risk mitigating and responding. Finally, future research directions are suggested based on the conceptual model for guiding the theories and practice of SSCRM. This study can work as a roadmap for providing appropriate risk management policies and toolkits to SSC, which could advance theoretical thinking on how to mitigate SSC risks.