Clinical profiles in multiple myeloma patients with extreme survivals: a study from a National Medical Center in China.

OBJECTIVES: The clinical outcomes of multiple myeloma (MM) patients are highly variable in the real-world setting. Some MM patients may have clinical endings that do not abide by the book. We aim to describe features of MM patients with extreme survivals in real-world practice. METHODS: This retrospective study enrolled 941 patients consecutively visited a national medical center, China, between July 1995 and December 2021. Among patients, we identified two groups of MM patients with extreme survivals, 56 were in the long-term remission (LR) group with progression-free survival (PFS) ≥ 60 months, and 82 were in the rapid progression (RP) group with PFS ≤ 6 months. RESULTS: CRAB features, of which hypercalcemia, renal insufficiency, and anemia were more common in the RP group, except for bone disease, with a comparable incidence at diagnosis in both groups (88.8 vs 85.7%, P = 0.52). High-risk cytogenetics was detected in 45.7% of patients in the RP group. Of note, 14.3% of MM patients in the LR group harbored del (17p). According to the Revised International Staging System (R-ISS), 9% of patients belonged to stage I in the RP group, and 19% of patients in the LR group were found in stage III. There were 8 (15.7%) patients in the LR group only achieved partial response (PR) as the best response. Median time to best response (TBR) for LR and RP group patients was 4.6 and 1.4 months, respectively. CONCLUSIONS: The disparities in the survivals of MM patients indicated that some unexpected factors have influenced the outcomes in the real-world setting.

The obesity paradox in multiple myeloma: A report from Multiple Myeloma Research Foundation (MMRF) dataset.

BACKGROUND: Obesity is a risk factor for multiple myeloma (MM). However, we still lack knowledge on the clinical course of obese MM patients in a broad view. METHODS: Here, we reviewed 568 MM patients recorded in the Multiple Myeloma Research Foundation (MMRF) coMMpass dataset. Patients were divided into the normal and obese groups according body mass index (BMI) at diagnosis, and then the baseline characteristics, cytogenetic abnormalities, treatment variability, and survival outcomes were evaluated in the obese cohort. RESULTS: We found no differences in the characteristics when comparing normal and obese MM patients other than more male in the obese part (50.4% vs. 59.9%, p = 0.024). Compared with the normal BMI patients, median overall survival (OS) was shorter for obese MM patients but without significant meaning (82.3 vs. 95.3 months, p = 0.25). However, in the subgroup analysis, obese MM patients younger than 65 years had significantly inferior OS than that in the normal category (p = 0.047). We also found obese MM patients had a higher overall response rate (ORR) compared with normal BMI patients (92.7% vs. 88.6%, p = 0.037). Additionally, obese patients seemed to achieve faster best response during first-line therapy. CONCLUSIONS: Obesity assumes a paradoxical function in the clinical trajectory of myeloma.

A Machine Learning Model to Predict Survival and Therapeutic Responses in Multiple Myeloma.

Multiple myeloma (MM) is a highly heterogeneous hematologic tumor. Ubiquitin proteasome pathways (UPP) play a vital role in its initiation and development. We used cox regression analysis and least absolute shrinkage and selector operation (LASSO) to select ubiquitin proteasome pathway associated genes (UPPGs) correlated with the overall survival (OS) of MM patients in a Gene Expression Omnibus (GEO) dataset, and we formed this into ubiquitin proteasome pathway risk score (UPPRS). The association between clinical outcomes and responses triggered by proteasome inhibitors (PIs) and UPPRS were evaluated. MMRF CoMMpass was used for validation. We applied machine learning algorithms to MM clinical and UPPRS in the whole cohort to make a prognostic nomogram. Single-cell data and vitro experiments were performed to unravel the mechanism and functions of UPPRS. UPPRS consisting of 9 genes showed a strong ability to predict OS in MM patients. Additionally, UPPRS can be used to sort out the patients who would gain more benefits from PIs. A machine learning model incorporating UPPRS and International Staging System (ISS) improved survival prediction in both datasets compared to the revisions of ISS. At the single-cell level, high-risk UPPRS myeloma cells exhibited increased cell adhesion. Targeted UPPGs effectively inhibited myeloma cells in vitro. The UPP genes risk score is a helpful tool for risk stratification in MM patients, particularly those treated with PIs.

Single-cell atlas of the immune microenvironment reveals macrophage reprogramming and the potential dual macrophage-targeted strategy in multiple myeloma.

The tumour microenvironment (TME) plays a critical role in disease progression in multiple myeloma (MM). This study aimed to present an atlas of MM-TME in disease progression and explore TME-directed therapeutic strategies. We performed single-cell RNA sequencing (scRNAseq) in samples from different disease stages. We validated the findings by bulk RNAseq, flow cytometry (FCM) and in vitro and in vivo functional experiments. We delineated a compromised TME during disease progression, characterized by enrichment of exhausted NK cells and CD8+ T cells and reprogramming of macrophages (MPs). The reprogrammed tumour-associated MPs (TAMs) displayed a mixed phenotype showing both M1 and M2 features, with two TAM clusters exclusively present in the MM stage showing higher M2 scores. We validated the mixed M1/M2 phenotype in TAMs in a clinical cohort and verified phagocytic dysfunction in reprogrammed TAMs. Cellular interaction analysis identified two enriched ligand-receptor pairs between MPs and malignant plasma cells (PCs), including the SIRPA-CD47 pathway suppressing phagocytosis and the CD74-MIF (macrophage inhibitory factor) reshaping the phenotype of MPs. The expression of CD47 and MIF correlated with disease progression and adverse outcomes. We designed a dual-MP-targeted strategy by combining an anti-CD47 antibody and MIF inhibitor to activate phagocytosis and repolarize MP to a functional phenotype and proved its potent antitumour effect in vitro and in vivo. We drafted alterations in MM-TME during disease progression and unravelled TAM's reprogramming. The dual MP-targeted approach blocking both CD47 and MIF showed potent antitumour effects.

A prognostic model incorporating inflammatory cells and cytokines for newly diagnosed multiple myeloma patients.

Peripheral blood cell counts and cytokines can be used as predictors of multiple myeloma (MM) patients' outcomes. 313 newly diagnosed MM patients treated with novel agents were divided into training and validation cohorts. We selected the common peripheral blood cell counts, including the lymphocyte/monocyte ratio (LMR), neutrophil/lymphocyte ratio (NLR), and platelet/lymphocyte ratio (PLR), systemic inflammation response index (SIRI), and serum cytokines which contained tumor necrosis factor-α (TNF-α), interleukin-1ß (IL-1ß), interleukin-2 receptor (IL-2R), interleukin-8 (IL-8), interleukin-6 (IL-6), and interleukin-10 (IL-10) as related variables. The least absolute shrinkage and selection operator (LASSO) regression was conducted to sort the predictor variables in the training cohort, and then the developed nomogram was assessed in the training and validation cohort. Our study showed that SIRI, PLR, and IL-8 were independent prognostic factors for the survival of MM patients. Patients with lower SIRI (≤ 0.87) had superior survival than patients with higher SIRI (> 0.87). Further, according to the LASSO regression, a nomogram embracing LMR (> 3.78), SIRI (> 0.87), PLR (≤ 106.44), and IL-8 was established. The nomogram demonstrated a better correlation with the outcomes of MM patients in the training cohort than International Staging System (ISS) and Revised-International Staging System (R-ISS). The same results were verified in the validation cohort. The nomogram incorporating inflammatory cells and cytokines could be a helpful tool to stratify MM patients in the era of novel agents.

Novel Oxygen-Dependent Degradable Immunotoxin Regulated by the Ubiquitin-Proteasome System Reduces Nonspecific Cytotoxicity.

The use of bacterial toxins as antitumor agents has received considerable attention. Immunotoxins based on antigen recognition of single-chain antibodies have been widely explored for cancer therapy. Despite their impressive killing effect on tumor cells, immunotoxins still display unspecific toxicity with undesired side effects. High levels of hypoxia-inducible factor 1α (HIF-1α) are well-known indicators of hypoxia in cancer cells. In this study, different linkers were employed to fuse the immunotoxin DAB389-4D5 scFv (DS) with the oxygen-dependent degradation domain (ODDD) of HIF-1α, a domain selectively facilitating the accumulation of HIF-1α under hypoxia, to construct the oxygen-dependent degradable immunotoxin DS-ODDD (DSO). The engineered fusion protein DSO-2 containing a linker (G4S)3 possesses the best killing effect on cancer cells under hypoxia and displayed considerably reduced nonspecific toxicity to normal cells under normoxic conditions. Flow cytometry, immunofluorescence, and immunoblot analyses demonstrated that DSO-2 was degraded via the ubiquitin-proteasome pathway regulated by the oxygen-sensitive mechanism. Western blot analysis indicated that the degradation of DSO-2 significantly decreased the activation of apoptosis-related molecules in normal cells. The engineered immunotoxin with oxygen-sensing properties developed herein is a potential therapeutic agent for cancer treatment.

Screening and characterization of a nitrilase with significant nitrile hydratase activity.

PURPOSE: We screened nitrilases with significant nitrile hydratase activity to exploit their potential in benzylic amide biosynthesis. We also investigated the factors affecting their hydration activity to support further research on benzylic amide production by nitrilase. METHODS: A sequence-based screening method using previously reported crucial positions identified to be essential for amide-forming capacity of nitrilase (referred to as "amide-formation hotspots") as molecular probes to identify putative amide-forming nitrilases. RESULTS: Based on the previously reported "amide-formation hotspots," we identified a nitrilase NitPG from Paraburkholderia graminis DSM 17151 that could produce a significant amount of mandelamide toward mandelonitrile and exhibited general hydration activity toward various benzylic nitriles. The time-course experiment with NitPG demonstrated that amide was also a true reaction product of nitrilase, suggesting that the nitrile catalysis by amide-forming nitrilase could be a post-transition state bifurcation-mediated enzymatic reaction. Further research demonstrated that low temperature, metal ion addition, and specific substrate structure could profoundly improve the amide formation capability of nitrilase. CONCLUSIONS: NitPG with broad hydration activity is a potential candidate for the enzymatic synthesis of benzylic amides for biotechnological applications. Studying the effect of nitrilase hydration activity could promote our understanding of the factors that influence amide and acid distribution.

Comprehensive In Silico Characterization and Expression Pro-Filing of DA1/DAR Family Genes in Brassica rapa.

The DA1/DAR family genes have been shown to play important roles in regulating organ size and plant biomass in the model plant Arabidopsis and several crops. However, this family has not been characterized in Brassica rapa (B. rapa). In this study, we identified 17 DA1&DAR genes from B. rapa. Phylogenetic analysis indicated that these genes are classified into four groups. Structural and motif analysis of BrDA1&DARs discovered that the genes within the same group have similar exon-intron structures and share an equal number of conserved motifs except for BrDAR6.3 from group IV, which contains two conserved motifs. Cis-regulatory elements identified four phytohormones (Salicylic acid, Abscisic acid, Gibberellin, and auxin) and three major abiotic (Light, Low temperature, and drought) responsive elements. Further, six br-miRNAs named br-miR164a, br-miR164b, br-miR164c, br-miR164d, br-miRN360, and br-miRN366 were found which target BrDAR6.1, BrDA1.4, and BrDA1.5. BrDA1&DAR genes were highly expressed in stem, root, silique, flower, leaf, and callus tissues. Moreover, qRT-PCR analyses indicated that some of these genes were responsive to abiotic stresses or phytohormone treatments. Our findings provide a foundation for further genetic and physiological studies of BrDA1&DARs in B. rapa.

Molecular Detection and Genotyping of Enterocytozoon bieneusi in Pigs in Shanxi Province, North China.

Enterocytozoon bieneusi is a common opportunistic intestinal pathogen that can cause acute diarrhea in immunosuppressed humans and animals. Though E. bieneusi has been widely detected in pigs around the world, little is known of its prevalence and genotype distribution in pigs in Shanxi province, north China. In this study, a total of 362 fecal samples were collected from pigs in three representative counties in north, south, and central Shanxi province, China. The prevalence and genotypes of E. bieneusi were investigated by nested PCR amplification of the ribosomal internal transcribed spacer (ITS) region of the ribosomal RNA (rRNA) gene. Overall, the prevalence of E. bieneusi in pigs in Shanxi province was 54.70% (198/362). Statistical analysis showed the difference in prevalence was statistically significant between regions (χ2 = 41.94, df = 2, P < 0.001) and ages (χ2 = 80.37, df = 1, P < 0.001). In addition, 16 genotypes of E. bieneusi were identified in this study by sequence analysis of the ITS region, including 15 known genotypes (EbpC, EbpA, EbpB, pigEb4, PigEBITS5, I, Henan-I, G, WildBoar 7, SH10, EbpD, CHC5, PigSpEb1, PigSpEb2, and CHG19) and one novel genotype (designated as PigSX-1). Phylogenetic analysis revealed that 14 known genotypes and the novel genotype were clustered into Group 1, whereas genotype I belonged to Group 2. To the best of our knowledge, this is the first report on the prevalence and genotypes of E. bieneusi in pigs in Shanxi province. These findings enrich the genetic diversity of E. bieneusi and provide the baseline data for the prevention and control of E. bieneusi in pigs in the study regions.

A CRISPRi mediated self-inducible system for dynamic regulation of TCA cycle and improvement of itaconic acid production in Escherichia coli.

Itaconic acid (ITA), an effective alternative fossil fuel, derives from the bypass pathway of the tricarboxylic acid (TCA) cycle. Therefore, the imbalance of metabolic flux between TCA cycle and ITA biosynthetic pathway seriously limits the production of ITA. The optimization of flux distribution between biomass and production has the potential to the productivity of ITA. Based on the previously constructed strain Escherichia coli MG1655 Δ1-SAS-3 (ITA titer: 1.87 g/L), a CRISPRi-mediated self-inducible system (CiMS), which contained a responsive module based on the ITA biosensor YpItcR/P ccl and a regulative CRISPRi-mediated interferential module, was developed to regulate the flux of the TCA cycle and to enhance the capacity of the strain to produce ITA. First, a higher ITA-yielding strain, Δ4-P rmd -SAS-3 (ITA titer: 3.20 g/L), derived from Δ1-SAS-3, was constructed by replacing the promoter P J23100 , for the expression of ITA synthesis genes, with P rmd and knocking out the three bypass genes poxB, pflB, and ldhA. Subsequently, the CiMS was used to inhibit the expression of key genes icd, pykA, and sucCD to dynamically balance the metabolic flux between TCA cycle and ITA biosynthetic pathway during the ITA production stage. The constructed strain Δ4-P rmd -SAS-3 under the dynamic regulation of the CiMS, showed a 23% increase in the ITA titer, which reached 3.93 g/L. This study indicated that CiMS was a practical strategy to dynamically and precisely regulated the metabolic flux in microbial cell factories.

Identification of CXCR4 Upregulation in Diffuse Large B-Cell Lymphoma Associated with Prognostic Significance and Clinicopathological Characteristics.

Background: Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous malignant lymphoma with distinct characteristics. Patients with treatment failure after the standard immunochemotherapy have worse prognosis, which implies the necessity to uncover novel targets. The C-X-C chemokine receptor 4 (CXCR4) overexpression has been identified in several hematopoietic malignancies. However, the expression signatures and prognostic significance of CXCR4 in DLBCL associated with clinicopathological features remain unclear. Methods: Gene expression profiles of DLBCL were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Then, a meta-analysis with an integrated bioinformatic analysis was performed to assess the relationship between CXCR4 expression and clinicopathological features of DLBCL. Finally, experimental verification including immunohistochemical (IHC) staining and real-time quantitative PCR (qPCR) was carried out using patient samples. In vitro cell line viability tests were conducted using CXCR4 inhibitor WZ811. Results: DLBCL patients with activated B-cell-like (ABC) subtype have higher expression level of CXCR4 with worse survival. Differential expressed genes in the CXCR4-upregulation group were enriched in canonical pathways associated with oncogenesis. DLBCL with CXCR4 upregulation had lower degree of CD8+ T cell infiltration. TIMER analysis demonstrated that the CXCR4 expression was positively correlated with the expression of CD5, MYC, NOTCH1, PDCD1, CD274, mTOR, FOXO1, and hnRNPA2B1 in DLBCL. IHC study in patient samples showed the positive correlation between CXCR4 and nongerminal center B-cell (non-GCB) subtype and mTOR expression. Meanwhile, quantitative polymerase chain reaction results revealed that high CXCR4 mRNA level was correlated to double-hit DLBCL. Finally, cell viability test showed that WZ811 exerted antiproliferation effect in DLBCL cell lines in a dose-dependent manner. Conclusion: CXCR4 was upregulated in ABC-DLBCL associated with worse prognosis. Our analysis predicted CXCR4 as a potential target for DLBCL treatment, which may serve as an inhibitor both on BCR signaling and nuclear export warranting further investigation in clinical trials.

The Mediating Role of a Xu-Argument Based Iterative Translation Continuation Task in the Dynamic Relationships Between Translation Learning Anxiety and Foreign Language Learning Proficiency and Translation Strategies.

Growing interest has been shown in the effects of the xu-argument based translation continuation task, which have been mainly explored via the linguistic dimension. The current study, using a pretest-intervention-posttest design, investigated the dynamic relationships among translation learning anxiety, foreign language learning proficiency, and English-Chinese translation strategies under an iterative translation continuation task (ITCT) that lasted 13 turns. The results yielded from 134 student translators showed a significant increase in their translation strategies comprehension and production, with those with a medium level of translation learning anxiety and foreign language learning proficiency achieving the most. It also showed that the significant partial mediating effect of translation learning anxiety between foreign language learning proficiency and the production of translation strategies in the pre-test became insignificant in the post-test, and the insignificant correlation between the comprehension and production of translation strategies in the pre-test became significant in the post-test. The dynamic relationships among translation learning anxiety, foreign language learning proficiency, and translation strategies confirmed the mediating role of the ITCT in attenuating the impact of higher level of translation learning anxiety and lower level of foreign language learning proficiency on the comprehension and use of translation strategies, though its effects could be different for student translators with different levels of translation anxiety and proficiency as measured by different assessments.

Photocontrol of Itaconic Acid Synthesis in Escherichia coli.

Metabolic engineering aims to control cellular metabolic flow and maximize the production of a product of interest. Photocontrol of the activities of proteins is an effective method for accurately regulating metabolic pathways. In this study, we inserted the photosensor light-oxygen-voltage-sensing domain 2 of Avena sativa (AsLOV2) into selected sites of isocitrate dehydrogenase (IDH), the key enzyme in the competitive pathway of itaconic acid (ITA) synthesis, to construct photoswitchable IDH-AsLOV2 (ILOVs). These engineered light-sensitive proteins were used to regulate the metabolic flux of the tricarboxylic acid (TCA) cycle in Escherichia coli to improve ITA production. The engineered fusion proteins ILOV2, ILOV3, ILOV6, and ILOV7 exhibited effective reversibility under the oscillation of darkness and blue light illumination in vitro. The efficacies of the intracellular photoswitches were evaluated, and an optimal photocontrol strategy was established in vivo. The ITA titer was significantly enhanced to 3.30 g/L for strain ITAΔ43, which displayed superior photoswitchable potency for ITA production compared with the strains that completely deleted the icd gene. The photocontrol strategy developed here can be extended for process optimization and titer improvement of other high-value bioengineering chemicals.

Rational engineering in Escherichia coli for high-titer production of baicalein based on genome-scale target identification.

Baicalein is a bioactive flavonoid isolated from the traditional Chinese medicinal plant, Scutellaria baicalensis Georgi. Microbial synthesis of flavonoids has been intensively developed owing to the eco-friendly nature of the process. However, the titer of the flavonoids obtained is still at a low level, and effective methods to enhance these titers are lacking. In this study, the synthetic performance of baicalein-producing engineered Escherichia coli was rationally evaluated to enhance the expression of key enzymes. Transcriptional analyses of baicalein-overproducing strain and a control strain enabled the identification of 13 beneficial genes, including eight genes that are seemingly irrelevant to baicalein metabolism. With the combination of the enzyme assembly and modularization strategy, the engineered DN-8 strain produced 367.8 mg/L baicalein in fed-batch fermentation, the maximum titer reported to date.

Rapid Mining of Novel α-Glucosidase and Lipase Inhibitors from Streptomyces sp. HO1518 Using UPLC-QTOF-MS/MS.

A rapid and sensitive method using ultra-high performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS/MS) was applied for the analysis of the metabolic profile of acarviostatin-containing aminooligosaccharides derived from Streptomyces sp. HO1518. A total of ninety-eight aminooligosaccharides, including eighty potential new compounds, were detected mainly based on the characteristic fragment ions originating from quinovosidic bond cleavages in their molecules. Following an LC-MS-guided separation technique, seven new aminooligosaccharides (10-16) along with four known related compounds (17-20) were obtained directly from the crude extract of strain HO1518. Compounds 10-13 represent the first examples of aminooligosaccharides with a rare acarviostatin II02-type structure. In addition, all isolates displayed considerable inhibitory effects on three digestive enzymes, which revealed that the number of the pseudo-trisaccharide core(s), the feasible length of the oligosaccharides, and acyl side chain exerted a crucial influence on their bioactivities. These results demonstrated that the UPLC-QTOF-MS/MS-based metabolomics approach could be applied for the rapid identification of aminooligosaccharides and other similar structures in complex samples. Furthermore, this study highlights the potential of acylated aminooligosaccharides with conspicuous α-glucosidase and lipase inhibition for the future development of multi-target anti-diabetic drugs.

SAC-TRAIL, a novel anticancer fusion protein: expression, purification, and functional characterization.

Recombinant protein pharmaceutical agents have been widely used for cancer treatment. Although tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) has broad-spectrum antitumor activity, its clinical applications are limited because most tumor cells eventually develop resistance to TRAIL-induced apoptosis through various pathways. Prostate apoptosis response-4 (Par-4) selectively induces apoptosis in cancer cells after binding to the cell surface receptor, GRP78. In this study, TRAIL was fused with the core domain of Par-4 (SAC) to produce a novel recombinant fusion protein. To obtain solubly expressed fusion protein, a small ubiquitin-related modifier (SUMO) was added to the N-terminus of the target protein. Cytotoxicity assays showed that the purified fusion protein exhibited more significant antitumor activity on cancer cells than that by native TRAIL. The connection order and linker sequence of the fusion proteins were optimized. In vitro cytotoxicity assay showed that the SAC-TRAIL fusion protein, which contained a flexible linker (G4S)3, optimally inhibited the proliferation of cancer cells. Immunofluorescence assays demonstrated that SAC-TRAIL could efficiently and specifically bind to cancer cells. Additionally, circular dichroism assays showed that the secondary structure of the recombinant protein with a flexible linker (G4S)3 has both a lower α-helix and higher random coiling, which facilitates the specific binding of SAC-TRAIL to the receptor. Collectively, these results suggest that the novel recombinant fusion protein SAC-(G4S)3-TRAIL is a potential therapeutic agent for cancer. KEY POINTS: • Improved tumor growth suppression and apoptosis induction potency of SAC-TRAIL. • Enhanced targeting selectivity of SAC-TRAIL in cancer cells. • Lower α-helix and higher random coiling in SAC-TRAIL with flexible linker (G4S)3.

Engineering Saccharomyces cerevisiae for Hyperproduction of ß-Amyrin by Mitigating the Inhibition Effect of Squalene on ß-Amyrin Synthase.

The study aims to enhance ß-amyrin production in Saccharomyces cerevisiae by peroxisome compartmentalization. First, overaccumulated squalene was determined as a key limiting factor for the production of ß-amyrin since it could inhibit the activity of ß-amyrin synthase GgbAs1. Second, to mitigate the inhibition effect, the enhanced squalene synthesis pathway was compartmentalized into peroxisomes to insulate overaccumulated squalene from GgbAs1, and thus the specific titer of ß-amyrin reached 57.8 mg/g dry cell weight (DCW), which was 2.6-fold higher than that of the cytosol engineering strain. Third, by combining peroxisome compartmentalization with the "push-pull-restrain" strategy (ERG1 and GgbAs1 overexpression and ERG7 weakening), the production of ß-amyrin was further increased to 81.0 mg/g DCW (347.0 mg/L). Finally, through fed-batch fermentation in a 5 L fermenter, the titer of ß-amyrin reached 2.6 g/L, which is the highest reported to date. The study provides a new perspective to engineering yeasts as a platform for triterpene production.

Diversion of metabolic flux towards 5-deoxy(iso)flavonoid production via enzyme self-assembly in Escherichia coli.

5-Deoxy(iso)flavonoids are structural representatives of phenylpropanoid-derived compounds and play critical roles in plant ecophysiology. Recently, 5-deoxy(iso)flavonoids gained significant interest due to their potential applications as pharmaceuticals, nutraceuticals, and food additives. Given the difficulties in their isolation from native plant sources, engineered biosynthesis of 5-deoxy(iso)flavonoids in a microbial host is a highly promising alternative approach. However, the production of 5-deoxy(iso)flavonoids is hindered by metabolic flux imbalances that result in a product profile predominated by non-reduced analogues. In this study, GmCHS7 (chalcone synthase from Glycine max) and GuCHR (chalcone reductase from Glycyrrhizza uralensis) were preliminarily utilized to improve the CHR ratio (CHR product to total CHS product). The use of this enzyme combination improved the final CHR ratio from 39.7% to 50.3%. For further optimization, a protein-protein interaction strategy was employed, basing on the spatial adhesion of GmCHS7:PDZ and GuCHR:PDZlig. This strategy further increased the ratio towards the CHR-derived product (54.7%), suggesting partial success of redirecting metabolic flux towards the reduced branch. To further increase the total carbon metabolic flux, 15 protein scaffolds were programmed with stoichiometric arrangement of the three sequential catalysts GmCHS7, GuCHR and MsCHI (chalcone isomerase from Medicago sativa), resulting in a 1.4-fold increase in total flavanone production, from 69.4 mg/L to 97.0 mg/L in shake flasks. The protein self-assembly strategy also improved the production and direction of the lineage-specific compounds 7,4'-dihydroxyflavone and daidzein in Escherichia coli. This study presents a significant advancement of 5-deoxy(iso)flavonoid production and provides the foundation for production of value-added 5-deoxy(iso)flavonoids in microbial hosts.

Whole-Cell Biocatalyst for Rubusoside Production in Saccharomyces cerevisiae.

Rubusoside (Rub) is a highly sweet diterpene glycoside mainly isolated from the leaves of Rubus suavissimus (Rosaceae). It has been used as a low-calorie natural sweetener for decades and was recently found to be a potential drug lead. In this study, we designed a whole-cell biocatalyst to achieve the glycosylation of steviol to Rub in Saccharomyces cerevisiae. The sucrose synthases were applied to construct a uridine diphosphate glucose regeneration system, which were coupled with optimal combinations of different uridine diphosphate (UDP) glycosyltransferases from multiple plant species. After optimization of reaction conditions, the residues in SrUGT74G1 probably influencing glycosylation efficiency were subjected to site-directed mutagenesis. Double mutations of S84A/E87A reduced the accumulation of intermediates, finally glucosylating 1.27 g/L steviol to 0.45 ± 0.06 g/L steviolmonoside (conversion rate = 23.3%) and 1.92 ± 0.17 g/L Rub (conversion rate = 74.9%). A high efficiency of Rub biosynthesis could be achieved without supply of additional UDPG. This work provided the first example of multi-step glycosylation reactions in whole-cell biocatalysis, which laid a foundation of scalable production of the value-added diterpene sweetener in the future.

Metabolic compartmentalization in yeast mitochondria: Burden and solution for squalene overproduction.

Harnessing mitochondria is considered as a promising method for biosynthesis of terpenes due to the adequate supply of acetyl-CoA and redox equivalents in mitochondria. However, mitochondrial engineering often causes serious metabolic burden indicated by poor cell growth. Here, we systematically analyzed the metabolic burden caused by the compartmentalization of the MVA pathway in yeast mitochondria for squalene synthesis. The phosphorylated intermediates of the MVA pathway, especially mevalonate-5-P and mevalonate-5-PP, conferred serious toxicity within mitochondria, which significantly compromised its possible advantages for squalene synthesis and was difficult to be significantly improved by routine pathway optimization. These phosphorylated intermediates were converted into ATP analogues, which strongly inhibited ATP-related cell function, such as mitochondrial oxidative respiration. Fortunately, the introduction of a partial MVA pathway from acetyl-CoA to mevalonate in mitochondria as well as the augmentation of the synthesis of mevalonate in cytosol could significantly promote the growth of yeasts. Accordingly, a combinatorial strategy of cytoplasmic and mitochondrial engineering was proposed to alleviate the metabolic burden caused by the compartmentalized MVA pathway in mitochondria and improve cell growth. The strategy also displayed the superimposed effect of cytoplasmic engineering and mitochondrial engineering on squalene production. Through a two-stage fermentation process, the squalene titer reached 21.1 g/L with a specific squalene titer of 437.1 mg/g dcw, which was the highest at present. This provides new insight into the production of squalene and other terpenes in yeasts based on the advantages of mitochondrial engineering.