Nomogram prediction of vessels encapsulating tumor clusters in small hepatocellular carcinoma ≤ 3 cm based on enhanced magnetic resonance imaging.

BACKGROUND: Vessels encapsulating tumor clusters (VETC) represent a recently discovered vascular pattern associated with novel metastasis mechanisms in hepatocellular carcinoma (HCC). However, it seems that no one have focused on predicting VETC status in small HCC (sHCC). This study aimed to develop a new nomogram for predicting VETC positivity using preoperative clinical data and image features in sHCC (≤ 3 cm) patients. AIM: To construct a nomogram that combines preoperative clinical parameters and image features to predict patterns of VETC and evaluate the prognosis of sHCC patients. METHODS: A total of 309 patients with sHCC, who underwent segmental resection and had their VETC status confirmed, were included in the study. These patients were recruited from three different hospitals: Hospital 1 contributed 177 patients for the training set, Hospital 2 provided 78 patients for the test set, and Hospital 3 provided 54 patients for the validation set. Independent predictors of VETC were identified through univariate and multivariate logistic analyses. These independent predictors were then used to construct a VETC prediction model for sHCC. The model's performance was evaluated using the area under the curve (AUC), calibration curve, and clinical decision curve. Additionally, Kaplan-Meier survival analysis was performed to confirm whether the predicted VETC status by the model is associated with early recurrence, just as it is with the actual VETC status and early recurrence. RESULTS: Alpha-fetoprotein_lg10, carbohydrate antigen 199, irregular shape, non-smooth margin, and arterial peritumoral enhancement were identified as independent predictors of VETC. The model incorporating these predictors demonstrated strong predictive performance. The AUC was 0.811 for the training set, 0.800 for the test set, and 0.791 for the validation set. The calibration curve indicated that the predicted probability was consistent with the actual VETC status in all three sets. Furthermore, the decision curve analysis demonstrated the clinical benefits of our model for patients with sHCC. Finally, early recurrence was more likely to occur in the VETC-positive group compared to the VETC-negative group, regardless of whether considering the actual or predicted VETC status. CONCLUSION: Our novel prediction model demonstrates strong performance in predicting VETC positivity in sHCC (≤ 3 cm) patients, and it holds potential for predicting early recurrence. This model equips clinicians with valuable information to make informed clinical treatment decisions.

Distribution of coronal plane alignment of the knee classification in Chinese osteoarthritic and healthy population: a retrospective cross-sectional observational study.

BACKGROUND: Few studies have reported the coronal constitutional alignment of the lower limbs in mainland China. This study aimed to analyse the distribution of the coronal plane alignment of the knee (CPAK) classification in the osteoarthritic (OA) and healthy Chinese populations. MATERIALS AND METHODS: The CPAK distributions of 246 patients (477 knees) with OA and 107 healthy individuals (214 knees) were retrospectively examined using long-leg radiographs. Radiological measurements and CPAK classification of different Kellgren-Lawrence grades in patients with unilateral total knee arthroplasty (TKA) were compared. The clinical outcomes of patients with CPAK type I who underwent mechanical alignment or restricted kinematic alignment during TKA were examined. RESULTS: The most common distributions in the OA and healthy groups were type I and type II, respectively. In patients who underwent unilateral TKA, the most common distribution of knees graded as Kellgren-Lawrence 3-4 was type I. However, the most common distributions of contralateral knees graded as Grade 0-2 were type I and II. For patients with CPAK type I, the mechanical alignment and restricted kinematic alignment groups did not differ significantly concerning postoperative clinical outcomes at 3 months. CONCLUSION: The most common distributions in Chinese osteoarthritic and healthy populations were types I and II, respectively. In addition, OA progression may lead to changes in the CPAK classification.

Radiomics of Preoperative Multi-Sequence Magnetic Resonance Imaging Can Improve the Predictive Performance of Microvascular Invasion in Hepatocellular Carcinoma.

Background: The aim of the study is to demonstrate that radiomics of preoperative multi-sequence magnetic resonance imaging (MRI) can indeed improve the predictive performance of microvascular invasion (MVI) in hepatocellular carcinoma (HCC). Methods: A total of 206 patients with pathologically confirmed HCC who underwent preoperative enhanced MRI were retrospectively recruited. Univariate and multivariate logistic regression analysis identified the independent clinicoradiologic predictors of MVI present and constituted the clinicoradiologic model. Recursive feature elimination (RFE) was applied to select radiomics features (extracted from six sequence images) and constructed the radiomics model. Clinicoradiologic model plus radiomics model formed the clinicoradiomics model. Five-fold cross-validation was used to validate the three models. Discrimination, calibration, and clinical utility were used to evaluate the performance. Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were used to compare the prediction accuracy between models. Results: The clinicoradiologic model contained alpha-fetoprotein (AFP)_lg10, radiological capsule enhancement, enhancement pattern and arterial peritumoral enhancement, which were independent risk factors of MVI. There were 18 radiomics features related to MVI constructed the radiomics model. The mean area under the receiver operating curve (AUC) of clinicoradiologic, radiomics and clinicoradiomics model were 0.849, 0.925 and 0.950 in the training cohort and 0.846, 0.907 and 0.933 in the validation cohort, respectively. The three models' calibration curves fitted well, and decision curve analysis (DCA) confirmed the clinical usefulness. Compared with the clinicoradiologic model, the NRI of radiomics and clinicoradiomics model increased significantly by 0.575 and 0.825, respectively, and the IDI increased significantly by 0.280 and 0.398, respectively. Conclusions: Radiomics of preoperative multi-sequence MRI can improve the predictive performance of MVI in HCC.

Rice roots avoid asymmetric heavy metal and salinity stress via an RBOH-ROS-auxin signaling cascade.

Root developmental plasticity is crucial for plants to adapt to a changing soil environment, where nutrients and abiotic stress factors are distributed heterogeneously. How plant roots sense and avoid heterogeneous abiotic stress in soil remains unclear. Here, we show that, in response to asymmetric stress of heavy metals (cadmium, copper, or lead) and salt, rice roots rapidly proliferate lateral roots (LRs) in the stress-free area, thereby remodeling root architecture to avoid localized stress. Imaging and quantitative analyses of reactive oxygen species (ROS) showed that asymmetric stress induces a ROS burst in the tips of the exposed roots and simultaneously triggers rapid systemic ROS signaling to the unexposed roots. Addition of a ROS scavenger to either the stressed or stress-free area abolished systemic ROS signaling and LR proliferation induced by asymmetric stress. Asymmetric stress also enhanced cytosolic calcium (Ca2+) signaling; blocking Ca2+signaling inhibited systemic ROS propagation and LR branching in the stress-free area. We identified two plasma-membrane-localized respiratory burst oxidase homologs, OsRBOHA and OsRBOHI, as key players in systemic ROS signaling under asymmetric stress. Expression of OsRBOHA and OsRBOHI in roots was upregulated by Cd stress, and knockout of either gene reduced systemic ROS signaling and LR proliferation under asymmetric stress. Furthermore, we demonstrated that auxin signaling and cell wall remodeling act downstream of the systemic ROS signaling to promote LR development. Collectively, our study reveals an RBOH-ROS-auxin signaling cascade that enables rice roots to avoid localized stress of heavy metals and salt and provides new insight into root system plasticity in heterogenous soil.

Prevention of Pregabalin-Related Side Effects Using Slow Dose Escalation Before Surgery: A Trial in Primary Total Joint Arthroplasty Within the Enhanced Recovery After Surgery Pathway.

BACKGROUND: The side effects of pregabalin likely occur after the first dose. We aimed to evaluate the effect of 75 milligrams (mg) of pregabalin prescribed as an initial dose with a slow dose escalation for primary total joint arthroplasty within the enhanced recovery after surgery pathway. METHODS: Participants were randomly assigned to two groups. Fifty-eight patients were enrolled, and twenty-nine were assigned to each group. Group 1 (G1) received pregabalin (37.5 mg) twice on the day before surgery, as well as pregabalin 75 mg two hours pre-operatively; Group 2 (G2) received none on the day before surgery and the same dose of pregabalin at two hours pre-operatively. The primary outcome was dizziness assessed by severity; secondary outcomes included nausea, vomiting, sedation, opioid consumption, independent transfer at six hours post-operatively, time to readiness for independent transfers, time to readiness for discharge, and pain. RESULTS: At two, four, and six hours post-operatively, the proportion of patients experiencing dizziness and nausea was significantly greater in G2 than in G1, and opioid consumption was significantly greater in G2 than in G1 (P = .012). The proportion of independent transfers at six hours post-operatively was significantly greater in G1 than in G2 (P = .010). The time to readiness for independent transfers was significantly shorter in G1 than in G2 (P = .016). CONCLUSION: Prescription of pregabalin 37.5 mg twice on the day before surgery was effective in reducing early postoperative dizziness and nausea after receiving pregabalin 75 mg two hours pre-operatively. It also promoted early independent transfers and reduced opioid consumption.

Exploration of the Tumor Immune Landscape and Identification of Two Novel Immunotherapy-Related Genes for Epstein-Barr virus-associated Gastric Carcinoma via Integrated Bioinformatics Analysis.

Epstein-Barr virus (EBV)-associated gastric carcinoma (EBVaGC) is a specific molecular subtype of gastric carcinoma with a high proportion of tumor-infiltrating lymphocytes. It is a highly immunogenic tumor that may benefit from immunotherapy. Hence, it is imperative to analyze the immune landscape and identify immunotherapy biomarkers for EBVaGC. In our study, we investigated the immune landscape and identified 10 hub genes for EBVaGC via integrated bioinformatics analysis. We found that EBVaGC expressed more immune-related genes, including common immune checkpoints and human leukocyte antigen (HLA) genes than EBV-negative gastric carcinoma (EBVnGC). The immune score in EBVaGC was higher, which means EBVaGC has greater immune cell infiltration. Ten hub genes (CD4, STAT1, FCGR3A, IL10, C1QA, CXCL9, CXCL10, CXCR6, PD-L1, and CCL18) were detected as candidate biomarkers for EBVaGC. Two hub genes, CXCL9 and CXCR6, were identified as novel immunotherapy-related genes. Taken together, the results of our comprehensive analysis of the immune microenvironment of EBVaGC revealed its unique immune landscape, demonstrating that it is a highly immunogenic tumor. Moreover, we identified hub genes that may serve as potential immunotherapy biomarkers for EBVaGC.

Pushing the Length Limit of Dihydrodiboraacenes: Synthesis and Characterizations of Boron-Embedded Heptacene and Nonacene.

Boron-embedded heteroacenes (boraacenes) have attracted enormous interest in organic chemistry and materials science. However, extending the skeleton of boraacenes to higher acenes (N≥6) is synthetically challenging because of their limited stability under ambient conditions. Herein, we report the synthesis of boron-embedded heptacene (DBH) and nonacene (DBN) as the hitherto longest boraacenes. The former is highly stable (even after 240 h in tetrahydrofuran), while the latter is air-sensitive with the half-life (t1/2 ) of 11.8 min. The structures of both compounds are verified by single-crystal X-ray diffraction, revealing a linear backbone with an antiaromatic C4 B2 core. Photophysical characterizations associated with theoretical calculations indicate that both compounds exhibit highly efficient anti-Kasha emissions. Remarkably, the air-stable DBH manifests an ultrahigh photoluminescence quantum yield (PLQY) of 98±2 % and can be chemically reduced to its radical anion and dianion states, implying the value of boron-doped higher acenes as novel functional materials.

Deep learning based cervical screening by the cross-modal integration of colposcopy, cytology, and HPV test.

PURPOSE: To develop and evaluate the colposcopy based deep learning model using all kinds of cervical images for cervical screening, and investigate the synergetic benefits of the colposcopy, the cytology test, and the HPV test for improving cervical screening performance. METHODS: This study consisted of 2160 women who underwent cervical screening, there were 442 cases with the histopathological confirmed high-grade squamous intraepithelial lesion (HSIL) or cancer, and the remained 1718 women were controls. Three kinds of cervical images were acquired from colposcopy including the saline image of cervix after saline irrigation, the acetic acid image of cervix after applying acetic acid solution, and the iodine image of cervix after applying Lugol's iodine solution. Each kind of image was used to build a single-image based deep learning model by the VGG-16 convolutional neural network, respectively. A multiple-images based deep learning model was built using multivariable logistic regression (MLR) by combining the single-image based models. The performance of the visual inspection was also obtained. The results of the cytology test and HPV test were used to build a Cytology-HPV joint diagnostic model by MLR. Finally, a cross-modal integrated model was built using MLR by combining the multiple-images based deep learning model, the cytology test results, and the HPV test results. The performances of models were tested in an independent test set using the area under the receiver operating characteristic curve (AUC). RESULTS: The saline image, acetic acid image, and iodine image based deep learning models had AUC of 0.760, 0.791, and 0.840. The multiple-images based deep learning model achieved an improved AUC of 0.845. The AUC of the visual inspection was 0.751. The Cytology-HPV joint diagnostic model had an AUC of 0.837, which was higher than the cytology test (AUC = 0.749) and the HPV test (AUC = 0.742). The cross-modal integrated model achieved the best performance with AUC of 0.921. CONCLUSIONS: Combining all kinds of cervical images were benefit for improving the performance of the colposcopy based deep learning model, and more accurate cervical screening could be achieved by incorporating the colposcopy based deep learning model, the cytology test results, and the HPV test results.

Triple Hemisection Percutaneous Achilles Tendon Lengthening for Severe Ankle Joint Deformity.

OBJECTIVE: To investigate the efficacy of modified percutaneous Achilles tendon lengthening for severe ankle joint deformity. METHODS: This retrospective case series study included 33 patients with an average age of 25.2 years who underwent surgery in our hospital from April 1, 2010 to March 1, 2018. Triple hemisection percutaneous Achilles tendon lengthening was performed. One stage surgery, other soft tissue surgery or bone correction surgery could be performed. After surgery, a plaster cast was used to fix the functional position, and rehabilitation training was carried out as planned. Complications during the perioperative period were recorded. Statistical analysis of the patients' visual analogue scale (VAS) and American Orthopedic Foot and Ankle Society (AOFAS) score before and at the last follow-up was performed. The recurrence rate of Achilles tendon contracture at the last follow-up and the patients' satisfaction rate were investigated. RESULTS: All patients were followed up, with an average follow-up period of 56.31 months (8-104 months). All achieved good ankle joint function and appearance improvement And there were no infection or skin necrosis complications. In two cases, the incision was poorly healed at non-Achilles tendon site and was cured by change of dressing. The average VAS score at the last follow-up was reduced from (2 ± 1.48) points before surgery to (0.26 ± 0.51) points (P = 0.001), and the average AOFAS score was increased from (64.97 ± 13.56) points before surgery to (90.06 ± 10.06) points (P = 0.001). During the follow-up period, there was no chronic rupture of Achilles tendon. There were two cases of recurrence of foot drop (5.7%), and the patients' satisfaction rate was 93.9%. CONCLUSION: In the surgical treatment of severe ankle joint deformity, the application of triple hemisection percutaneous Achilles tendon lengthening for Achilles tendon contracture has the advantages of less trauma, beautiful incision, and reliable efficacy. The satisfaction rate of patients with this treatment is high, and it is worth promoting in the clinic.

Deep Learning Predicts Overall Survival of Patients With Unresectable Hepatocellular Carcinoma Treated by Transarterial Chemoembolization Plus Sorafenib.

OBJECTIVES: To develop and validate a deep learning-based overall survival (OS) prediction model in patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE) plus sorafenib. METHODS: This retrospective multicenter study consisted of 201 patients with treatment-naïve, unresectable HCC who were treated with TACE plus sorafenib. Data from 120 patients were used as the training set for model development. A deep learning signature was constructed using the deep image features from preoperative contrast-enhanced computed tomography images. An integrated nomogram was built using Cox regression by combining the deep learning signature and clinical features. The deep learning signature and nomograms were also externally validated in an independent validation set of 81 patients. C-index was used to evaluate the performance of OS prediction. RESULTS: The median OS of the entire set was 19.2 months and no significant difference was found between the training and validation cohort (18.6 months vs. 19.5 months, P = 0.45). The deep learning signature achieved good prediction performance with a C-index of 0.717 in the training set and 0.714 in the validation set. The integrated nomogram showed significantly better prediction performance than the clinical nomogram in the training set (0.739 vs. 0.664, P = 0.002) and validation set (0.730 vs. 0.679, P = 0.023). CONCLUSION: The deep learning signature provided significant added value to clinical features in the development of an integrated nomogram which may act as a potential tool for individual prognosis prediction and identifying HCC patients who may benefit from the combination therapy of TACE plus sorafenib.

Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Initial Application of a Radiomic Algorithm Based on Grayscale Ultrasound Images.

Objectives: To establish a radiomic algorithm based on grayscale ultrasound images and to make preoperative predictions of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) patients. Methods: In this retrospective study, 322 cases of histopathologically confirmed HCC lesions were included. The classifications based on preoperative grayscale ultrasound images were performed in two stages: (1) classifier #1, MVI-negative and MVI-positive cases; (2) classifier #2, MVI-positive cases were further classified as M1 or M2 cases. The gross-tumoral region (GTR) and peri-tumoral region (PTR) signatures were combined to generate gross- and peri-tumoral region (GPTR) radiomic signatures. The optimal radiomic signatures were further incorporated with vital clinical information. Multivariable logistic regression was used to build radiomic models. Results: Finally, 1,595 radiomic features were extracted from each HCC lesion. At the classifier #1 stage, the radiomic signatures based on features of GTR, PTR, and GPTR showed area under the curve (AUC) values of 0.708 (95% CI, 0.603-0.812), 0.710 (95% CI, 0.609-0.811), and 0.726 (95% CI, 0.625-0.827), respectively. Upon incorporation of vital clinical information, the AUC of the GPTR radiomic algorithm was 0.744 (95% CI, 0.646-0.841). At the classifier #2 stage, the AUC of the GTR radiomic signature was 0.806 (95% CI, 0.667-0.944). Conclusions: Our radiomic algorithm based on grayscale ultrasound images has potential value to facilitate preoperative prediction of MVI in HCC patients. The GTR radiomic signature may be helpful for further discriminating between M1 and M2 levels among MVI-positive patients.

[Long-term outcomes of Chiari osteotomy for Legg-Calvé-Perthes disease in children].

OBJECTIVE: To explore long-term outcomes of Chiari osteotomy for Legg-Calvé-Perthes disease in children with type Catterall III or IV, and to analyze clinical effect of osteotomy angle on clinical and radiographic results. METHODS: From March 2005 to July 2013, 26 children with Legg-Calvé-Perthes disease with type Catterall III or IV were treated by Chiari osteotomy, including 17 males and 9 females, aged from 4 to 13 years old with an average of (8.9±2.6) years old. Children were divided into low osteotomy angle group and high osteotomy angle group. according to osteotomy angle. There were 10 children in low osteotomy angle group with an osteotomy angle of 10 degrees, including 8 boys and 2 girls, aged from 4 to 13 years old with an average of (9.2±3.3) years old; while there were 16 children in high osteotomy angle group with an osteotomy angle of 15 degress, including 9 boys and 7 girls, aged from 6 to 12 years old with an average of (8.8±2.1) years old. HHS score before operation and at the latest follow-up were recorded to observe clinical results. CE angle of hip joint, acetabular index, Sharp angle, Shenton's line continuity, femoral head coverage, acetabular depth ratio were recorded to compare radiographic results. Stulberg classification was analyzed to compare reshaping ability of femoral head. RESULTS: Twenty-six children were followed up for 4.5 to 12.0 years with an average of (7.9±1.8) years. All incisions were healed at stage I for 10 to 14 days, with an average of(12.3±1.1) days. No inflammation, skin necrosis and injury of vessel and nerve occurred. All osteotomies achieved bone union for 8 to 13 weeks, with an average of(9.8±1.4) weeks. HHS score increased from 75.8±6.5 before operation to 93.5±2.5 at the latest follow-up in low osteotomy angle group(P<0.05), and form 77.6±6.2 to 97.8±1.6 in high osteotomy angle group (P<0.05). HHS score of high osteotomy angle group at the latest follow-up was higher than that of low osteotomy angle group (P<0.05). The acetabular index decreased from (10.1±2.5)° before operation to (4.5±1.3)° at the latest follow-up in low osteotomy angle group (P<0.05), and from (10.7±3.3)° before operation to (2.0±1.1)° in high osteotomy angle group (P<0.05). The acetabular index of high osteotomy angle group at the latest followup was better than low osteotomy angle group(P<0.05). There was no significant difference in CE angle, Sharp angle, Shenton's continuity, femoral head coverage, acetabular depth ratio between two groups. According to Stulberg classification, the femoral head reshaping ability in high osteotomy angle group was better than that of low osteotomy angle group(P<0.05). CONCLUSIONS: Chiari osteotomy with 15° for Legg-Calvé-Perthes disease in children with type Catterall III or IV could effectively decrease index of acetabulum, and helpful for femoral head reshaping ability, then in further improve clinical effects.

[Clinical Characteristics of Brucellosis Complicated by Syndrome of Inappropriate Secretion of Antidiuresis].

Objective To summarize and analyze the causes of hyponatremia in patients with brucellosis and explore the clinical manifestations of syndrome of inappropriate antidiuresis(SIAD)in patients with brucellosis. Methods The clinical data of 111 patients with acute brucellosis who were treated in Peking Union Medical College Hospital from September 2011 to December 2017 were retrospectively reviewed.Hyponatremia was defined by serum sodium level lower than 135 mmol/L.Clinical characteristics including medical histories,vital signs,and laboratory test findings were collected and analyzed. Results Hyponatremia was found in 14(12.6%)of 111 patients with brucellosis,among whom 3 patients were confirmed to be with SIAD,10 were suspected as SIAD,and 1 was diagnosis as hypopituitarism.Hypoalbuminemia,elevation of erythrocyte sedimentation rate,and high sensitivity C reactive protein were found in brucellosis patients with SIAD,along with severe complications such as infective endocarditis,septic shock,and anemia. Conclusion Hyponatremia is not a rare condition in brucellosis patients and may be caused by SIAD.

[Repairing diabetic rats with bone defect by VEGF165 gene modified adipose-derived stem cells].

OBJECTIVE: To explore repairing results of VEGF165 gene modified adipose-derived stem cells for diabetic rats with bone defect. METHODS: Seventy-eight male Wistar rats weighted 180 to 220 g were selected, 72 rats were established diabetic animal models by streptozotocin inducement method, blood glucose level was more than 16.7 mmol/L. Experimental animals were randomly divided into 5 groups, 6 rats in normal group and each 18 rats in other groups. VEGF165 gene modified adipose-derived stem cells were implanted into normal group with bone defect; single diabetic rats with bone defect were named as diabetic group;vascular endothelial growth factor implanted into single diabetic rats with bone defect named as growth factor group; adipose-derived stem cells implanted into diabetic rats with bone defect names as stem cell group; VEGF165 gene modified adipose-derived stem cells implanted diabetic rats with bone defect named as experimental group. After combination of VEGF165-ADSCs (5×106) cells combined with gel sponge, implanted into diabetic rats with bone defect. On the forth week, general form of defect repairing tissue were observed by optical microscopy;local density of micro-vessel were detected by immunohistochemistry method; content of Ca, P and ALP of repairing callus were detected by IRIS Intrepid XSP inductively coupled plasma emission spectrometer. Efficacy of the VEGF165-ADSCs repairing function was evaluated by SPSS statistic software. RESULTS: Fluorescent staining results showed that expression of VEGF165 located on cytoplasm of ADSCs, expression percentage was more than 87%; general histology results showed that callus formation and quality was near to normal group, repairing results in diabetes group, growth factor group and stem cell group were poor. On the Forth week after implantation, content of Ca, P and ALP of repairing callus in experimental group were higher than those in growth group and stem cell group, and without significant differences compared with normal group; blood vessel density in experimental group was lower than normal group, but higher than other groups. CONCLUSIONS: VEGF165 gene modified adipose-derived stem cells for repairing diabetic rats with bone defect has advantages of osteogenesis and angiogenesis, and should be one of the effective method for repairing diabetic rats with bone defect.

Selective synthesis of human milk fat-style structured triglycerides from microalgal oil in a microfluidic reactor packed with immobilized lipase.

Human milk fat-style structured triacylglycerols were produced from microalgal oil in a continuous microfluidic reactor packed with immobilized lipase for the first time. A remarkably high conversion efficiency was demonstrated in the microreactor with reaction time being reduced by 8 times, Michaelis constant decreased 10 times, the lipase reuse times increased 2.25-fold compared to those in a batch reactor. In addition, the content of palmitic acid at sn-2 position (89.0%) and polyunsaturated fatty acids at sn-1, 3 positions (81.3%) are slightly improved compared to the product in a batch reactor. The increase of melting points (1.7°C) and decrease of crystallizing point (3°C) implied higher quality product was produced using the microfluidic technology. The main cost can be reduced from $212.3 to $14.6 per batch with the microreactor. Overall, the microfluidic bioconversion technology is promising for modified functional lipids production allowing for cost-effective approach to produce high-value microalgal coproducts.

From microalgae oil to produce novel structured triacylglycerols enriched with unsaturated fatty acids.

Novel structured triacylglycerols (STAGs) enriched with unsaturated fatty acids (UFAs) and low palmitic acid (PA) content were firstly synthesized from Schizochytrium sp. oil and oleic acid (OA) via solvent-free acidolysis catalyzed by Lipozyme RM IM. The results indicated that, the PA content decreased from 24.49% to 6.95%, while the UFAs content increased from 70.20% to 90.9% at the sn-1,3 positions in the STAGs under the optimal condition (i.e., lipase load of 7%, molar ratio of microalgae oil TAGs to OA of 1:3, and temperature of 65 °C). The lipase Lipozyme RM IM could be reused 16 times without significant loss of activity. The improved plastic and storage ranges of STAGs are useful for infant formula formulations, by which a possible method is blending of this product and 1,3-dioleoyl-2-palmitoylglycerol enriched fats and minor lipids based on the corresponding chemical compositions of human milk fat.

A novel chemoenzymatic synthesis of propyl caffeate using lipase-catalyzed transesterification in ionic liquid.

Propyl caffeate has the highest antioxidant capacity in the caffeate alkyl esters family, but industrial production of propyl caffeate is hindered by low yields using either the chemical or enzymatic catalysis method. To set up a high-yield process for obtaining propyl caffeate, a novel chemoenzymatic synthesis method using lipase-catalyzed transesterification of an intermediate methyl caffeate or ethyl caffeate and 1-propanol in ionic liquid was established. The maximum propyl caffeate yield of 98.5% was obtained using lipase-catalyzed transesterification under the following optimal conditions: Novozym 435 as a biocatalyst, [Bmim][CF3SO3] as a medium, a molar ratio of methyl caffeate to 1-propanol of 1:5, a mass ratio of methyl caffeate to lipase of 1:20, and a reaction temperature of 60°C. The two-step conversion of caffeic acid to propyl caffeate via methyl caffeate is an efficient way to prepare propyl caffeate with an overall yield of 82.7%.