Evaluation of architectural distortion with contrast-enhanced mammography.

Architectural distortion (AD) is the third most common abnormality detected on mammograms. In the absence of an accurate non-invasive tool to evaluate ADs, clinical management often requires surgical excision for histological diagnosis. This problem is expected to worsen with the growing use of digital breast tomosynthesis (DBT) and the resultant increasing detection of ADs. There is therefore a great clinical need for a diagnostic imaging tool to complement non-enhanced mammography for the evaluation of AD. Contrast-enhanced mammography (CEM) is an emerging breast imaging method that uses contrast media and the principle of dual-energy subtraction to evaluate vascularity of suspicious breast lesions. CEM, a cost-effective alternative to breast magnetic resonance imaging (MRI), can be used to evaluate AD by juxtaposing CEM images with non-enhanced mammograms for comparison. In this review, the authors aim to provide readers with an overview of the interpretation of AD on CEM using imaging examples. Relevant imaging features of CEM and their respective significance will be matched with information from a literature review. Finally, the authors would like to highlight the added value of CEM in relevant clinical applications in the assessment of AD.

A machine learning model to predict therapeutic inertia in type 2 diabetes using electronic health record data.

OBJECTIVE: To estimate the therapeutic inertia prevalence for patients with type 2 diabetes, develop and validate a machine learning model predicting therapeutic inertia, and determine the added predictive value of area-level social determinants of health (SDOH). METHODS: This prognostic study with a retrospective cohort design used OneFlorida data (linked electronic health records (EHRs) from 1240 practices/clinics in Florida). The study cohort included adults (aged ≥ 18) with type 2 diabetes, HbA1C ≥ 7% (53 mmol/mol), ≥one ambulatory visit, and ≥one antihyperglycemic medication prescribed (excluded patients prescribed insulin before HbA1C). The outcome was therapeutic inertia, defined as absence of treatment intensification within six months after HbA1C ≥ 7% (53 mmol/mol). The predictors were patient, provider, and healthcare system factors. Machine learning methods included gradient boosting machines (GBM), random forests (RF), elastic net (EN), and least absolute shrinkage and selection operator (LASSO). The DeLong test compared the discriminative ability (represented by C-statistics) between models. RESULTS: The cohort included 31,087 patients with type 2 diabetes (mean age = 58.89 (SD = 13.27) years, 50.50% male, 58.89% White). The therapeutic inertia prevalence was 39.80% among the 68,445 records. GBM outperformed (C-statistic from testing sample = 0.84, 95% CI = 0.83-0.84) RF (C-statistic = 0.80, 95% CI = 0.79-0.80), EN (C-statistic = 0.80, 95% CI = 0.80-0.81), and LASSO (C-statistic = 0.80, 95% CI = 0.80-0.81), p < 0.05. Area-level SDOH significantly increased the discriminative ability versus models without SDOH (C-statistic for GBM = 0.84, 95% CI = 0.84-0.85 vs. 0.84, 95% CI = 0.83-0.84), p < 0.05. CONCLUSIONS: Using EHRs of patients with type 2 diabetes from a large state, machine learning predicted therapeutic inertia (prevalence = 40%). The model's ability to predict patients at high risk of therapeutic inertia is clinically applicable to diabetes care.

Histone Deacetylase Inhibition by Gut Microbe-Generated Short-Chain Fatty Acids Entrains Intestinal Epithelial Circadian Rhythms.

BACKGROUND & AIMS: The circadian clock orchestrates ∼24-hour oscillations of gastrointestinal epithelial structure and function that drive diurnal rhythms in gut microbiota. Here, we use experimental and computational approaches in intestinal organoids to reveal reciprocal effects of gut microbial metabolites on epithelial timekeeping by an epigenetic mechanism. METHODS: We cultured enteroids in media supplemented with sterile supernatants from the altered Schaedler Flora (ASF), a defined murine microbiota. Circadian oscillations of bioluminescent PER2 and Bmal1 were measured in the presence or absence of individual ASF supernatants. Separately, we applied machine learning to ASF metabolomics to identify phase-shifting metabolites. RESULTS: Sterile filtrates from 3 of 7 ASF species (ASF360 Lactobacillus intestinalis, ASF361 Ligilactobacillus murinus, and ASF502 Clostridium species) induced minimal alterations in circadian rhythms, whereas filtrates from 4 ASF species (ASF356 Clostridium species, ASF492 Eubacterium plexicaudatum, ASF500 Pseudoflavonifactor species, and ASF519 Parabacteroides goldsteinii) induced profound, concentration-dependent phase shifts. Random forest classification identified short-chain fatty acid (SCFA) (butyrate, propionate, acetate, and isovalerate) production as a discriminating feature of ASF "shifters." Experiments with SCFAs confirmed machine learning predictions, with a median phase shift of 6.2 hours in murine enteroids. Pharmacologic or botanical histone deacetylase (HDAC) inhibitors yielded similar findings. Further, mithramycin A, an inhibitor of HDAC inhibition, reduced SCFA-induced phase shifts by 20% (P < .05) and conditional knockout of HDAC3 in enteroids abrogated butyrate effects on Per2 expression. Key findings were reproducible in human Bmal1-luciferase enteroids, colonoids, and Per2-luciferase Caco-2 cells. CONCLUSIONS: Gut microbe-generated SCFAs entrain intestinal epithelial circadian rhythms by an HDACi-dependent mechanism, with critical implications for understanding microbial and circadian network regulation of intestinal epithelial homeostasis.

Erratum:

This corrects the article DOI: 10.1103/PhysRevLett.123.033201.

Altered expression of the L-arginine/nitric oxide pathway in ovarian cancer: metabolic biomarkers and biological implications.

MOTIVATION: Ovarian cancer (OC) is a highly lethal gynecological malignancy. Extensive research has shown that OC cells undergo significant metabolic alterations during tumorigenesis. In this study, we aim to leverage these metabolic changes as potential biomarkers for assessing ovarian cancer. METHODS: A functional module-based approach was utilized to identify key gene expression pathways that distinguish different stages of ovarian cancer (OC) within a tissue biopsy cohort. This cohort consisted of control samples (n = 79), stage I/II samples (n = 280), and stage III/IV samples (n = 1016). To further explore these altered molecular pathways, minimal spanning tree (MST) analysis was applied, leading to the formulation of metabolic biomarker hypotheses for OC liquid biopsy. To validate, a multiple reaction monitoring (MRM) based quantitative LCMS/MS method was developed. This method allowed for the precise quantification of targeted metabolite biomarkers using an OC blood cohort comprising control samples (n = 464), benign samples (n = 3), and OC samples (n = 13). RESULTS: Eleven functional modules were identified as significant differentiators (false discovery rate, FDR < 0.05) between normal and early-stage, or early-stage and late-stage ovarian cancer (OC) tumor tissues. MST analysis revealed that the metabolic L-arginine/nitric oxide (L-ARG/NO) pathway was reprogrammed, and the modules related to "DNA replication" and "DNA repair and recombination" served as anchor modules connecting the other nine modules. Based on this analysis, symmetric dimethylarginine (SDMA) and arginine were proposed as potential liquid biopsy biomarkers for OC assessment. Our quantitative LCMS/MS analysis on our OC blood cohort provided direct evidence supporting the use of the SDMA-to-arginine ratio as a liquid biopsy panel to distinguish between normal and OC samples, with an area under the ROC curve (AUC) of 98.3%. CONCLUSION: Our comprehensive analysis of tissue genomics and blood quantitative LC/MSMS metabolic data shed light on the metabolic reprogramming underlying OC pathophysiology. These findings offer new insights into the potential diagnostic utility of the SDMA-to-arginine ratio for OC assessment. Further validation studies using adequately powered OC cohorts are warranted to fully establish the clinical effectiveness of this diagnostic test.

Single cell transcriptomics in human osteoarthritis synovium and in silico deconvoluted bulk RNA sequencing.

OBJECTIVES: To reveal the heterogeneity of different cell types of osteoarthritis (OA) synovial tissues at a single-cell resolution, and determine by novel methodology whether bulk-RNA-seq data could be deconvoluted to create in silico scRNA-seq data for synovial tissue analyses. METHODS: OA scRNA-seq data (102,077 synoviocytes) were provided by 17 patients undergoing total knee arthroplasty; 9 tissues with matched scRNA-seq and bulk RNA-seq data were used to evaluate six in silico gene deconvolution tools. Predicted and observed cell types and proportions were compared to identify the best deconvolution tool for synovium. RESULTS: We identified seven distinct cell types in OA synovial tissues. Gene deconvolution identified three (of six) platforms as suitable for extrapolating cellular gene expression from bulk RNA-seq data. Using paired scRNA-seq and bulk RNA-seq data, an "arthritis" specific signature matrix was created and validated to have a significantly better predictive performance for synoviocytes than a default signature matrix. Use of the machine learning tool, Cell-type Identification By Estimating Relative Subsets of RNA Transcripts x (CIBERSORTx), to analyze rheumatoid arthritis (RA) and OA bulk RNA-seq data yielded proportions of T cells and fibroblasts that were similar to the gold standard observations from RA and OA scRNA-seq data, respectively. CONCLUSION: This novel study revealed heterogeneity of synovial cell types in OA and the feasibility of gene deconvolution for synovial tissue.

Immunogenicity of the mRNA-1273 and ChAdOx1 nCoV-19 vaccines in Asian patients with autoimmune rheumatic diseases under biologic and/or conventional immunosuppressant treatments.

OBJECTIVE: Nucleic acid-based vaccines against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection are effective in the general population. However, it is unknown whether this is true in Asian patients with autoimmune rheumatic diseases (ARDs) who have received various combinations of disease-modifying anti-rheumatic drugs (DMARDs). METHOD: We designed a large prospective observational study recruiting 228 patients with ARDs in a tertiary rheumatology centre in Taiwan. Altogether, 142 received biological or targeted synthetic DMARDs and 86 received only conventional synthetic (cs) DMARDs. Serum levels of immunoglobulin G antibody against SARS-CoV-2 spike proteins were measured 2-6 weeks after COVID-19 vaccination with mRNA-1273 (Moderna®) or ChAdOx1 nCoV-19 (Oxford/AstraZeneca®). The immunomodulatory therapies were not modified before or after vaccination. RESULTS: Overall, 194 patients (85.09%) exhibited antibodies (758.33 ± 808.43 ng/mL) but 34 patients did not (103.24 ± 41.08 ng/mL). Patients with systemic lupus erythematosus or rheumatoid arthritis had significantly lower humoral responses to COVID-19 vaccination than those with other ARDs (p < 0.05). There was no significant difference in immunogenicity among patients on different csDMARD treatments. Compared to patients treated with only csDMARDs, those on rituximab or abatacept therapy had significantly lower immune response to the vaccination (p = 0.008 and p = 0.035, respectively). Patients who were treated with anti-tumour necrosis factor-α or interleukin-6 inhibitor exhibited higher titres of vaccination antibodies than those treated with direct lymphocyte inhibitors. CONCLUSIONS: mRNA-1273 and ChAdOx1 nCoV-19 vaccines were immunogenic in the majority of ARD patients. Rituximab and abatacept were associated with significantly diminished COVID-19 vaccination immunogenicity.

Comparison of three zinc binding groups for HDAC inhibitors - A potency, selectivity and enzymatic kinetics study.

Hydroxamic acid and benzamide are the most commonly used zinc binding group (ZBG) for HDAC inhibitors both in clinic and pre-clinic. Recently, we discovered several analogs of new type HDAC inhibitors with hydrazide as ZBG. Representative compounds displayed high potency, class I HDAC selectivity and excellent pharmacokinetics profile. In this research, we synthesize tool compounds 4 and 6 by modifying the hydroxamic acid of SAHA with benzamide and hydrazide, respectively, and compare the potency, isoform selectivity, binding profile and enzymatic kinetics for the hydroxamate, benzamide and hydrazide-based inhibitors. It is well known that SAHA with hydroxamic acid is a pan-HDAC inhibitor with competitive binding and fast-on/fast-off profile. Compound 6 is a slow-binding class I selective inhibitor with mixed (competitive and non-competitive) binding mode, which is the same as the hydrazide inhibitors in our previous study. Compound 4 is a class I selective, fast-on/fast-off inhibitor with competitive binding mode to HDAC1/2/3, which is different with published benzamide MS275 and 106. Therefore, the kinetics profile of benzamide is not only due to the ZBG, but also rely on the cap and linker groups. To the best of our knowledge, this is the first report to compare the enzymatic profile of three promising ZBGs of HDAC inhibitors.

Risk of skin cancer after ultraviolet phototherapy in patients with vitiligo: a systematic review and meta-analysis.

BACKGROUND: Although ultraviolet (UV) phototherapy is an effective treatment for vitiligo, its effect on the risk of skin cancer remains controversial. AIM: To investigate the association between UV phototherapy and skin cancer risk in patients with vitiligo. METHODS: A systematic review was performed for studies published before 5 May 2021 in the PubMed, Embase, Web of Science and Cochrane Library databases. The primary outcome was the association of UV phototherapy with the risk of skin cancer in patients with vitiligo. A meta-analysis with a random-effects model was conducted. RESULTS: Five retrospective cohort studies covering a total of 228 607 patients with vitiligo (110 038 who had been treated with UV phototherapy and 118 569 patients who had not) were included in the meta-analysis. The risk of nonmelanoma skin cancer [Mantel-Haenszel risk ratio (MHRR) = 0.95; 95% CI 0.44-2.05] and melanoma (MHRR = 1.11; 95% CI 0.33-3.82) did not significantly increase after phototherapy in patients with vitiligo. In the subgroup analysis, we also found no significant association between phototherapy with narrowband UVB phototherapy specifically and risk of skin cancer in patients with vitiligo. There was no significant difference in risk of skin cancer between patients from Europe and those from East Asia and the risk was not affected by the number of narrowband UVB phototherapy sessions. CONCLUSIONS: The findings of this systematic review and meta-analysis suggest that UV phototherapy is a safe treatment for vitiligo with no significant risk of skin cancer.

Strain engineering for high-level 5-aminolevulinic acid production in Escherichia coli.

Herein, we report the development of a microbial bioprocess for high-level production of 5-aminolevulinic acid (5-ALA), a valuable non-proteinogenic amino acid with multiple applications in medical, agricultural, and food industries, using Escherichia coli as a cell factory. We first implemented the Shemin (i.e., C4) pathway for heterologous 5-ALA biosynthesis in E. coli. To reduce, but not to abolish, the carbon flux toward essential tetrapyrrole/porphyrin biosynthesis, we applied clustered regularly interspersed short palindromic repeats interference (CRISPRi) to repress hemB expression, leading to extracellular 5-ALA accumulation. We then applied metabolic engineering strategies to direct more dissimilated carbon flux toward the key precursor of succinyl-CoA for enhanced 5-ALA biosynthesis. Using these engineered E. coli strains for bioreactor cultivation, we successfully demonstrated high-level 5-ALA biosynthesis from glycerol (~30 g L-1 ) under both microaerobic and aerobic conditions, achieving up to 5.95 g L-1 (36.9% of the theoretical maximum yield) and 6.93 g L-1 (50.9% of the theoretical maximum yield) 5-ALA, respectively. This study represents one of the most effective bio-based production of 5-ALA from a structurally unrelated carbon to date, highlighting the importance of integrated strain engineering and bioprocessing strategies to enhance bio-based production.

Development of selective HDAC6 inhibitors with in vitro and in vivo anti-multiple myeloma activity.

Histone deacetylase 6 (HDAC6) is a promising therapeutic target for the treatment of cancers, neurodegenerative diseases and autoimmune disorders. Herein a novel series of pyrrolo[2,3-d]pyrimidine-based HDAC inhibitors were designed, synthesized and biologically evaluated, among which compounds 7a, 12a1, and 16a1 exhibited potent inhibitory activities and selectivities against HDAC6. Notably, compared with the well-known HDAC6 inhibitor Tubastatin A, our pyrrolo[2,3-d]pyrimidine-based HDAC6 inhibitors showed superior in vitro antiproliferative activity against human multiple myeloma cell lines RPMI 8226, U266 and MM.1S, while maintaining the low cytotoxicity against human breast cancer cell line MDA-MB-231 and two normal cell lines. The HDAC6 selective inhibition of one representative compound 12a1 in RPMI 8226 cells was confirmed by western blot analysis. Although pyrrolo[2,3-d]pyrimidine is a privileged structure in many kinase inhibitors, compound 12a1 showed negligible inhibition against several kinases including JAK family members and Akt1, indicating its acceptable off-target profile. Besides, compound 12a1 exhibited desirable metabolic stability in mouse liver microsome. The in vivo anti-multiple myeloma potency of 12a1, alone and in combination with bortezomib, was demonstrated in a RPMI 8226 xenograft model.

Bio-based production of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) with modulated monomeric fraction in Escherichia coli.

In this study, we applied metabolic engineering and bioprocessing strategies to enhance heterologous production of an important biodegradable copolymer, i.e., poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV), with a modulated 3-hydroxyvalerate (3-HV) monomeric fraction from structurally unrelated carbon of glycerol in engineered Escherichia coli under different oxygenic conditions. We used our previously derived propanologenic (i.e., 1-propanol-producing) E. coli strain with an activated genomic Sleeping beauty mutase (Sbm) operon as a host for heterologous expression of the phaCAB operon. The 3-HV monomeric fraction was modulated by regulating dissimilated carbon flux channeling from the tricarboxylic acid (TCA) cycle into the Sbm pathway for biosynthesis of propionyl-CoA, which is a key precursor to (R)-3-hydroxyvaleryl-CoA (3-HV-CoA) monomer. The carbon flux channeling was regulated either by manipulating a selection of genes involved in the TCA cycle or varying oxygenic condition of the bacterial culture. With these consolidated strategies being implemented, we successfully achieved high-level PHBV biosynthesis with a wide range of 3-HV monomeric fraction from ~ 4 to 50 mol%, potentially enabling the fine-tuning of PHBV mechanical properties at the biosynthesis stage. We envision that similar strategies can be applied to enhance bio-based production of chemicals derived from succinyl-CoA. KEY POINTS: • TCA cycle engineering was applied to enhance 3-HV monomeric fraction in E. coli. • Effects of oxygenic conditions on 3-HV incorporation into PHBV in E. coli were investigated. • Bacterial cultivation for high-level PHBV production in engineered E. coli was performed.

Parathyroidectomy slows renal function decline in patients with primary hyperparathyroidism.

PURPOSE: Primary hyperparathyroidism has deleterious effects on health and causes nephrolithiasis and osteoporosis. However, it remains unclear whether parathyroidectomy benefits kidney function among patients with primary hyperparathyroidism. METHODS: In this retrospective study, patients with primary hyperparathyroidism receiving parathyroidectomy in a tertiary medical center between 2003 and 2017 were followed up until December 31 2017, death, or requiring renal replacement therapy. Impact of parathyroidectomy on kidney function was examined using longitudinal estimated glomerular filtration rate (eGFR) change scales: single, average, absolute difference, percent change, annual decline rate, and slope. We applied linear mixed-effect model to determine the effect of parathyroidectomy on kidney function. RESULTS: During study period, 167 patients with primary hyperparathyroidism were identified from 498 parathyroidectomized patients, and finally, 27 patients fulfilled our stringent criteria. Median follow-up duration was 1.50 years (interquartile range 1.05-1.81) before surgery and 2.47 years (1.37-6.43) after surgery. Although parathyroidectomy did not affect amount of proteinuria and distribution of eGFR, parathyroidectomy significantly slowed decline rate of eGFR compared with that before surgery (- 1.67 versus - 2.73 mL/min/1.73 m2/year, p < 0.001). More importantly, parathyroidectomy made more beneficial effects on kidney function in patients with age < 65 years and those without chronic kidney disease or hypertension. CONCLUSIONS: Our study showed that parathyroidectomy slows renal function decline irrespective of age or comorbidities, which offers novel insight into the revision of guidelines for surgical indications in primary hyperparathyroidism. Given small sample size, further large-scale controlled studies are warranted to confirm our findings.

Differential effects of aquatic anaesthetics on the pharmacokinetics of antibiotics: Examples using florfenicol in Nile tilapia (Oreochromis niloticus).

Anaesthetics are commonly applied in pharmacokinetic (PK) studies to assure smooth handling of experimental procedures or to promote animal welfare. However, the influence of anaesthetics on the PK of co-administered drug is generally unknown but assumes ignorable. The goal of the study was to investigate the effect of tricaine methanesulfonate (MS-222), 2-phenoxyethanol (2-PE) and eugenol (EUG) on the PK of florfenicol (FF) in Nile tilapia. Twenty-eight fish were repeatedly exposed to 90 ppm EUG, 300 ppm MS-222 or 900 ppm 2-PE before FF oral administration (15 mg/kg) and each successive blood sampling. The serum concentration-time profiles were analysed by a 2-compartmental model, and the generated parameters in the control (without anaesthetic) and anaesthetic groups were statistically compared. The results demonstrated that the serum concentrations of each anaesthetic were similar at every FF sampling times (70 µg/ml for MS-222; 277 µg/ml for 2-PE; and 61 µg/ml for EUG). In comparison with the control group, the repeated use of MS-222 did not result in a statistical difference in most of the PK parameters. In contrast, the elimination half-lives of the 2-PE and EUG groups were significantly longer whereas the absorption and distribution half-lives of the 2-PE group were significantly shorter than the control, resulting in altered optimal dosages in the simulation modelling. Whether or not the numbers and extent of PK parameters change mitigate subsequent estimations of other PK-derived secondary values such as dosing regimen and withdrawal time remains to be elucidated, but the auxiliary use of anaesthetics in PK studies should not assume uninfluential.

Heterologous production of 3-hydroxyvalerate in engineered Escherichia coli.

3-Hydroxyacids are a group of valuable fine chemicals with numerous applications, and 3-hydroxybutyrate (3-HB) represents the most common species with acetyl-CoA as a precursor. Due to the lack of propionyl-CoA in most, if not all, microorganisms, bio-based production of 3-hydroxyvalerate (3-HV), a longer-chain 3-hydroxyacid member with both acetyl-CoA and propionyl-CoA as two precursors, is often hindered by high costs associated with the supplementation of related carbon sources, such as propionate or valerate. Here, we report the derivation of engineered Escherichia coli strains for the production of 3-HV from unrelated cheap carbon sources, in particular glucose and glycerol. Activation of the sleeping beauty mutase (Sbm) pathway in E. coli enabled the intracellular formation of non-native propionyl-CoA. A selection of enzymes involved in 3-HV biosynthetic pathway from various microorganisms were explored for investigating their effects on 3-HV biosynthesis in E. coli. Glycerol outperformed glucose as the carbon source, and glycerol dissimilation for 3-HV biosynthesis was primarily mediated through the aerobic GlpK-GlpD route. To further enhance 3-HV production, we developed metabolic engineering strategies to redirect more dissimilated carbon flux from the tricarboxylic acid (TCA) cycle to the Sbm pathway, resulting in an enlarged intracellular pool of propionyl-CoA. Both the presence of succinate/succinyl-CoA and their interconversion step in the TCA cycle were identified to critically limit the carbon flux redirection into the Sbm pathway and, therefore, 3-HV biosynthesis. A selection of E. coli host TCA genes encoding enzymes near the succinate node were targeted for manipulation to evaluate the contribution of the three TCA routes (i.e. oxidative TCA cycle, reductive TCA branch, and glyoxylate shunt) to the redirected carbon flux into the Sbm pathway. Finally, the carbon flux redirection into the Sbm pathway was enhanced by simultaneously deregulating glyoxylate shunt and blocking the oxidative TCA cycle, significantly improving 3-HV biosynthesis. With the implementation of these biotechnological and bioprocessing strategies, our engineered E. coli strains can effectively produce 3-HV up to 3.71 g l-1 with a yield of 24.1% based on the consumed glycerol in shake-flask cultures.

Synthesis and biological study of class I selective HDAC inhibitors with NO releasing activity.

Based on the multi-mechanism antitumor strategy and the regulatory effect of nitric oxide (NO) on histone deacetylases (HDACs), a series of N-acyl-o-phenylenediamine-based HDAC inhibitors equipped with the phenylsulfonylfuroxan module as NO donor was designed, synthesized and biologically evaluated. The in vitro HDAC inhibitory assays revealed that compared with the clinical class I selective HDAC inhibitor MS275, compounds 7c, 7d and 7e possessed similar HDAC inhibitory potency and selective profile, which were confirmed by the results of western blot analysis. The western blot analysis also showed that NO scavenger N-acetyl cysteine (NAC) could weaken the intracellular HDAC inhibitory ability of compound 7c, supporting the HDAC inhibitory effect of NO generated by 7c. It is worth noting that compounds 7c, 7d and 7e exhibited more potent in vitro antiproliferative activities than MS275 against all four tested solid tumor cell lines. The promising in vivo antitumor potency of 7c was demonstrated in a HCT116 xenograft model.

Tacrine-hydroxamate derivatives as multitarget-directed ligands for the treatment of Alzheimer's disease: Design, synthesis, and biological evaluation.

In order to develop multitarget-directed ligands as potential treatments for Alzheimer's disease, twenty-eight new tacrine-hydroxamate derivatives were designed, synthesized, and biologically evaluated. As expected, most of the compounds exhibited inhibitory activities against cholinesterases (ChEs) and histone deacetylase (HDACs). Among the tested compounds, A10 showed not only potent and selective inhibition on AChE at sub-nanomolar potency (AChEIC50 = 0.12 nM, BChEIC50 = 361.52 nM) but also potent inhibition on HDAC (IC50 = 0.23 nM). Moreover, A10 exhibited inhibitory activity on Aß1-42 self-aggregation as well as disaggregation activity on pre-formed Aß fibrils. Furthermore, A10 exhibited antioxidant activity and metal chelating properties. Further mechanistic studies demonstrated that A10 is a pan-inhibitor of HDACs and a mixed-type inhibitor for AChE. It shown that A10 is a BBB penetrant by online prediction. Taken together, the results indicate that A10 can serve as a lead compound to develop promising candidate analogs as AD therapeutics.

Design, synthesis and biological evaluation of dual-function inhibitors targeting NMDAR and HDAC for Alzheimer's disease.

Histone deacetylases (HDACs) have been indicated important roles in neurodegenerative disorders including Alzheimer's disease (AD). Herein, a series of novel compounds that contain a memantine moiety were designed to target HDACs and N-methyl-d-aspartate receptor (NMDAR) which are related to the treatment of AD. Biological characterization established that compound 9d exhibited a balanced inhibitory activity on NMDAR and HDACs. This compound is relatively selective to HDAC6 with IC50 of 0.18 µM and also maintains comparable activity on NMDAR (Ki = 0.59 µM) as memantine. Functionally, treatment with 9d increased the level of AcTubulin in MV4-11 cells and rescued PC-12 cells from H2O2-induced cytotoxicity with EC50 of 0.94 µM. Studies in mice also demonstrated that compound 9d efficiently penetrates the blood brain barrier to reach the brain tissue. Collectively, the results strongly encourage further development of 9d as a potential therapeutic agent for AD.

Integrated strain engineering and bioprocessing strategies for high-level bio-based production of 3-hydroxyvalerate in Escherichia coli.

As petro-based production generates numerous environmental impacts and their associated technological concerns, bio-based production has been well recognized these days as a modern alternative to manufacture chemical products in a more renewable, environmentally friendly, and sustainable manner. Herein, we report the development of a microbial bioprocess for high-level and potentially economical production of 3-hydroxyvalerate (3-HV), a valuable special chemical with multiple applications in chemical, biopolymer, and pharmaceutical industries, from glycerol, which can be cheaply and renewably refined as a byproduct from biodiesel production. We used our recently derived 3-HV-producing Escherichia coli strains for bioreactor characterization under various culture conditions. In the parental strain, 3-HV biosynthesis was limited by the intracellular availability of propionyl-CoA, whose formation was favored by anaerobic conditions, which often compromised cell growth. With appropriate strain engineering, we demonstrated that 3-HV can be effectively produced under both microaerobic (close to anaerobic) and aerobic conditions, which determine the direction of dissimilated carbon flux toward the succinate node in the tricarboxylic acid (TCA) cycle. We first used the ∆sdhA single mutant strain, in which the dissimilated carbon flux was primarily directed to the Sleeping beauty mutase (Sbm) pathway (via the reductive TCA branch, with enhanced cell growth under microaerobic conditions, achieving 3.08 g L-1 3-HV in a fed-batch culture. In addition, we used the ∆sdhA-∆iclR double mutant strain, in which the dissimilated carbon flux was directed from the TCA cycle to the Sbm pathway via the deregulated glyoxylate shunt, for cultivation under rather aerobic conditions. In addition to demonstrating effective cell growth, this strain has shown impressive 3-HV biosynthesis (up to 10.6 g L-1), equivalent to an overall yield of 18.8% based on consumed glycerol, in aerobic fed-batch culture. This study not only represents one of the most effective bio-based production of 3-HV from structurally unrelated carbons to date, but also highlights the importance of integrated strain engineering and bioprocessing strategies to enhance bio-based production.Key points• TCA cycle engineering was applied to enhance 3-HV biosynthesis in E. coli. • Effects of oxygenic conditions on 3-HV in E. coli biosynthesis were investigated. • Bioreactor characterization of 3-HV biosynthesis in E. coli was performed.

Development of a Bestatin-SAHA Hybrid with Dual Inhibitory Activity against APN and HDAC.

With five histone deacetylase (HDAC) inhibitors approved for cancer treatment, proteolysis-targeting chimeras (PROTACs) for degradation of HDAC are emerging as an alternative strategy for HDAC-targeted therapeutic intervention. Herein, three bestatin-based hydroxamic acids (P1, P2 and P3) were designed, synthesized and biologically evaluated to see if they could work as HDAC degrader by recruiting cellular inhibitor of apoptosis protein 1 (cIAP1) E3 ubiquitin ligase. Among the three compounds, the bestatin-SAHA hybrid P1 exhibited comparable even more potent inhibitory activity against HDAC1, HDAC6 and HDAC8 relative to the approved HDAC inhibitor SAHA. It is worth noting that although P1 could not lead to intracellular HDAC degradation after 6 h of treatment, it could dramatically decrease the intracellular levels of HDAC1, HDAC6 and HDAC8 after 24 h of treatment. Intriguingly, the similar phenomenon was also observed in the HDAC inhibitor SAHA. Cotreatment with proteasome inhibitor bortezomib could not reverse the HDAC decreasing effects of P1 and SAHA, confirming that their HDAC decreasing effects were not due to protein degradation. Moreover, all three bestatin-based hydroxamic acids P1, P2 and P3 exhibited more potent aminopeptidase N (APN, CD13) inhibitory activities than the approved APN inhibitor bestatin, which translated to their superior anti-angiogenic activities. Taken together, a novel bestatin-SAHA hybrid was developed, which worked as a potent APN and HDAC dual inhibitor instead of a PROTAC.