Food-derived bioactive peptides (FBPs), particularly those with ten or fewer amino acid residues and a molecular weight below 1300 Da, have gained increasing attention for their safe, diverse structures and specific biological activities. The development of FBP-based functional foods and potential medications depends on understanding their structure‒activity relationships (SARs), stability, and bioavailability properties. In this review, we provide an in-depth overview of the roles of FBPs in treating various diseases, including Alzheimer's disease, hypertension, type 2 diabetes mellitus, liver diseases, and inflammatory bowel diseases, based on the literature from July 2017 to Mar. 2023. Subsequently, attention is directed toward elucidating the associations between the bioactivities and structural characteristics (e.g., molecular weight and the presence of specific amino acids within sequences and compositions) of FBPs. We also discuss in silico approaches for FBP screening and their limitations. Finally, we summarize recent advancements in formulation techniques to improve the bioavailability of FBPs in the food industry, thereby contributing to healthcare applications.
Humans ; Peptides/therapeutic use* ; Structure-Activity Relationship ; Functional Food ; Diabetes Mellitus, Type 2/drug therapy* ; Biological Availability ; Alzheimer Disease/drug therapy* ; Inflammatory Bowel Diseases/drug therapy* ; Hypertension/drug therapy* ; Liver Diseases/drug therapy* ; Bioactive Peptides, Dietary

OBJECTIVE: To explore the effects of different endotracheal tube cuff pressure management modes on cuff sealing and the pressure exerted on the tracheal wall. METHODS: A prospective self-controlled study was conducted. Eleven patients undergoing endotracheal intubation and mechanical ventilation with an automatic airway management system (AGs) admitted to the Second Medical Centre of the Chinese People's Liberation Army General Hospital from October 1, 2020, to April 1, 2022, were enrolled as the study subjects. Within 24 hours after the establishment of artificial airway and mechanical ventilation, four cuff pressure management modes were randomly applied to each patient for 24 hours in sequence: automatic cuff pressure management mode [modeI: the safe range of cuff pressure was set at 20-35 cmH₂O (1 cmH₂O≈0.098 kPa), and the CO₂ pressure above the endotracheal tube cuff was automatically detected by AGs every 5 minutes to determine the cuff sealing status, and the cuff pressure was automatically adjusted], constant cuff pressure (25 cmH₂O) management mode (mode II: the cuff pressure was monitored by AGs through a pressure sensor, and the cuff pressure was maintained at 25 cmH₂O via a pressure pump), constant cuff pressure (30 cmH₂O) management mode (mode III: the cuff pressure was monitored by AGs through a pressure sensor, and the cuff pressure was maintained at 30 cmH₂O via a pressure pump), and manual cuff pressure management mode (mode IV: the cuff pressure was manually measured by nurses every 6-8 hours using a cuff pressure gauge to keep the cuff pressure at 25-30 cmH₂O after inflation). The CO₂ pressure above the endotracheal tube cuff (at 60-minute intervals) and the cuff pressure changes (at 50-ms intervals) were recorded to compare the differences in number of cuff leaks [no leak was defined as CO₂ pressure = 0, small leak as 0 < CO₂ pressure < 2 mmHg (1 mmHg≈0.133 kPa), and large leak as CO₂ pressure ≥ 2 mmHg] and cuff pressure among modesI-IV. RESULTS: A total of 24 CO₂ pressure measurements were taken per patient across the four modes, resulting in a total of 264 detections for each mode. Regarding the cuff leak, the total number of leak and large leak in modeIwas significantly lower than that in modes II-IV [total leak: 30 cases (11.36%) vs. 81 cases (30.68%), 70 cases (26.52%), 103 cases (39.02%); large leak: 15 cases (5.68%) vs. 50 cases (18.94%), 48 cases (18.18%), 66 cases (25.00%), all P < 0.05]. There was no significant difference in the number of cuff leak between modes II and III, and mode IV had the most severe cuff leak. In terms of cuff pressure, since mode IV required blocking the cuff tube from the AGs tube and the AGs cuff pressure management module did not actually work, real-time monitoring of cuff pressure was not possible. Therefore, cuff pressure changes were only analyzed in modes I-III. Each of the 11 patients underwent 24-hour cuff pressure monitoring under modes I-III, with 19 008 000 monitoring times for each mode. The cuff pressure in mode I was between that in modes II and III [cmH₂O: 27.09 (26.10, 28.14) vs. 26.60 (25.92, 27.47), 31.01 (30.33, 31.88), both P < 0.01]. Moreover, the number of extreme values of cuff pressure > 50 cmH₂O in mode I was significantly lower than that in modes II and III [19 900 cases (0.105%) vs. 22 297 cases (0.117%), 27 618 cases (0.145%), both P < 0.05]. CONCLUSION Dynamically monitoring the CO₂ pressure above the cuff to guide the adjustment of endotracheal tube cuff pressure can achieve better cuff sealing with a relatively lower cuff pressure load.
Humans ; Intubation, Intratracheal/instrumentation* ; Pressure ; Prospective Studies ; Respiration, Artificial ; Male ; Airway Management/methods* ; Female ; Middle Aged

Objective:To investigate the effects of glycopyrrolate on intestinal spasm and hemodynamics in painless colonoscopy.Methods:A total of 100 patients who were scheduled to undergo painless colonoscopy were selected as the study subjects and randomly divided into two groups by a computerized number method. Ten patients in both groups dropped out because of disruption of the study protocol, and 45 patients from each group were included in the final analysis. Before anesthesia induction, patients in group glycopyrrolate (group G) were injected with 0.2 mg glycopyrrolate, while those in congtrol group (group C) were injected with an equal amount of saline. The heart rate, systolic blood pressure, and diastolic blood pressure were recorded at T 0 (baseline period), T 1 (after anesthesia induction), T 2 (colonoscopy over sigmoid colon), T 3 (colonoscopy over the liver region), T 4 (after the end of examination), and T 5 (at the awakening phase), and the degree of intestinal spasm was assessed intraoperatively using the Likert′s four-point scale. The numerical rating scale (NRS) was used to assess preoperative and postoperative pain. The incidence of adverse events was recorded. Results:The general data at baseline were not statistically different between the two groups ( P>0.05). During the procedure, patients in group G had lower intraoperative intestinal spasm scores than those in group C ( P=0.028). Intraoperative hypotension and bradycardia occurrence were lower in group G than in group C ( P<0.05), and intraoperative norepinephrine use was also lower than in the group C ( P=0.034). Postoperative visual analog scale pain scores were lower in group G ( P=0.047), but patients who used glycopyrrolate had a higher proportion of dry mouth ( P=0.035). Conclusion:During painless colonoscopy, preoperative administration of glycopyrrolate significantly improved intraoperative hemodynamic fluctuations, reduced the incidence of hypotension and bradycardia, and relieved postoperative pain. However, glycopyrrolate use resulted in the risk of dry mouth.

ObjectiveTo investigate effect of astragaloside Ⅳ on the proliferation， migration， and invasion of colorectal cancer HCT116 cells and the underlying molecular mechanism. MethodColorectal cancer HCT116 cells were classified into blank group （DMSO） and low-dose （15.7 mg·L^-1）， medium-dose （31.4 mg·L^-1）， and high-dose （62.8 mg·L^-1） astragaloside Ⅳ groups. After drug treatment， the morphological changes of HCT116 cells were observed under an inverted microscope. Cell viability was detected by cell counting kit-8 （CCK-8） assay， and the migration and invasion of cells were detected based on scratch assay and Transwell assay. The expression of cyclin-dependent kinase inhibitor （p21）， CyclinD₁， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax） in the cells was examined by Western blot. ResultCompared with the blank group， cells in the three astragaloside Ⅳ groups demonstrated slow growth， low density， inconsistent morphology， nuclear shrinkage， degradation of cytoplasm， and high death rate. Moreover， cell viability decreased in a concentration-dependent manner in the astragaloside Ⅳ groups. Cell migration and invasion were inhibited （P<0.05， P<0.01）， and the inhibition rate was in positive correlation with the concentration of the astragaloside Ⅳ. The expression of pro-apoptotic protein Bax in low-dose， medium-dose and high-dose astragaloside Ⅳ groups increased gradually in a concentration-dependent manner， while the expression of p21， CyclinD₁ and anti-apoptotic protein Bcl-2 decreased gradually in a concentration-dependent manner compared with those in the blank group （P<0.05， P<0.01）. ConclusionAstragaloside Ⅳ can suppress the proliferation， migration， and invasion of colorectal cancer HCT116 cells and promote the apoptosis， thus inhibiting the occurrence and development of colorectal cancer.

Objective:To investigate the value of artificial intelligence (AI) cytomorphologic analysis system in the cytomorphological diagnosis and therapeutic evaluation of acute myeloid leukemia (AML).Methods:Bone marrow smear samples were collected from 150 patients with newly diagnosed and treated acute myeloid leukemia who were inpatients and outpatients at the Department of Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College from June 1, 2021 to July 31, 2022 for retrospective analysis. Among them, there were 50 patients in the newly diagnosed group, including 28 males and 22 females, with the onset age of 43.5(32.3,58.8)years. There were 100 patients in the post-treatment group, including 36 males and 64 females, with the onset age of 34.5(23.0,47.0)years. The results from cytomorphology expert were used as the gold standard and the Python 3.6.7 was used for analysis to evaluate the accuracy, sensitivity, and specificity of the AI cytomorphologic analysis system for blast cell recognition in AML diagnosis and treatment.Results:The proportion of blasts in AI analysis of 50 samples in the newly diagnosed group was≥20%, which met the diagnostic criteria of AML. AI analysis of blasts had an accuracy of 90.3%, sensitivity of 85.5%, and specificity of 98.0%. The correlation coefficient between AI and the proportion of blasts analyzed by experts was positively correlated( r=0.882, P<0.001). Meanwhile, in the post-treatment group, the sensitivity and specificity of AI analysis of blasts were 89.7% and 99.2%, respectively. The correlation coefficient between AI and the proportion of blasts analyzed by experts was positively correlated( r=0.957, P<0.001). According to AI analysis data, there are 8 samples in this group whose AI efficacy evaluation results on AML are inconsistent with expert analysis. Conclusion:AI cytomorphologic analysis system has high accuracy, sensitivity and specificity for blast cell recognition in AML morphological diagnosis and therapeutic evaluation.

Early distinction of bipolar disorder (BD) from major depressive disorder (MDD) is difficult since no tools are available to estimate the risk of BD. In this study, we aimed to develop and validate a model of oxidative stress injury for predicting BD. Data were collected from 1252 BD and 1359 MDD patients, including 64 MDD patients identified as converting to BD from 2009 through 2018. 30 variables from a randomly-selected subsample of 1827 (70%) patients were used to develop the model, including age, sex, oxidative stress markers (uric acid, bilirubin, albumin, and prealbumin), sex hormones, cytokines, thyroid and liver function, and glycolipid metabolism. Univariate analyses and the Least Absolute Shrinkage and Selection Operator were applied for data dimension reduction and variable selection. Multivariable logistic regression was used to construct a model for predicting bipolar disorder by oxidative stress biomarkers (BIOS) on a nomogram. Internal validation was assessed in the remaining 784 patients (30%), and independent external validation was done with data from 3797 matched patients from five other hospitals in China. 10 predictors, mainly oxidative stress markers, were shown on the nomogram. The BIOS model showed good discrimination in the training sample, with an AUC of 75.1% (95% CI: 72.9%-77.3%), sensitivity of 0.66, and specificity of 0.73. The discrimination was good both in internal validation (AUC 72.1%, 68.6%-75.6%) and external validation (AUC 65.7%, 63.9%-67.5%). In this study, we developed a nomogram centered on oxidative stress injury, which could help in the individualized prediction of BD. For better real-world practice, a set of measurements, especially on oxidative stress markers, should be emphasized using big data in psychiatry.
Biomarkers/metabolism* ; Bipolar Disorder/metabolism* ; Depressive Disorder, Major/diagnosis* ; Early Diagnosis ; Humans ; Oxidative Stress

Objective:To investigate the pathological characteristics of megakaryocytes in myeloproliferative neoplasms(MPN)and their correlations with driver gene mutations.Methods:Trephine specimens administered for 160 patients with MPN from February 2012 to October 2017 were reevaluated according to the World Health Organization(WHO)’s(2016)diagnostic criteria.Results:This cohort of patients included 72(45.0%)men, with the median age of 59(range, 13-87)years, comprising 39 with polycythemia vera(PV), 33 with essential thrombocythemia(ET), 37 with prefibrotic/early-primary myelofibrosis(pre-PMF), 37 with overt PMF, 1 with post-ET MF, 2 with post-PV MF, and 11 with MPN-unclassifiable(MPN-U)after the re-diagnosis. With PV, ET, pre-PMF, and overt PMF changes, proportions of dense clusters, hypolobulated nuclei, and naked nuclei of megakaryocytes gradually increased, whereas erythropoiesis gradually decreased. Proportions of reticulin, collagen, and osteosclerosis grades of ≥1 also increased. Dense clusters, hypolobulated nuclei, and naked nuclei of megakaryocytes were negatively correlated with erythropoiesis and positively correlated with granulopoiesis and fibrosis. In patients with pre- and overt PMF, dense clusters and naked nuclei of megakaryocytes were positively correlated with fibrosis. Patients with JAK2V617F MPN had significantly increased erythropoiesis( P=0.022). Patients with CALR-mutated MPN were characterized by increased loose and dense clusters; paratrabecular distribution and naked nuclei of megakaryocytes( P=0.055, P=0.002, P=0.018, P=0.008); and increased reticulin, collagen, and osteosclerosis( P=0.003, P<0.001, P=0.001). In patients with pre- and overt PMF, patients with JAK2V617F had increased cellularity( P=0.037). CALR-mutated patients had increased dense clusters and giant sizes of megakaryocytes, collagen, and osteosclerosis( P=0.055, P=0.059, P=0.011, P=0.046). Conclusion:Megakaryocytes showed abnormal MPN morphology and distribution, which were related to fibrosis. CALR mutation was probably associated with abnormal morphology and distribution of megakaryocytes and fibrosis.

Objective:To compare fibrosis-driving cells in patients with primary myelofibrosis (PMF) and patients with myelodysplastic syndromes (MDS) with myelofibrosis (MF) (MDS-MF) .Methods:Bone marrow biopsy sections of patients with newly diagnosed PMF and MDS (10 each randomly selected for MF-0/1, MF-2, and MF-3) were stained with specific immunofluorescence antibodies to label Gli1, LeptinR, alpha smooth muscle actin (α-SMA) , CD45, and ProcollagenⅠ. Images captured by confocal microscopy were analyzed by Fiji-ImageJ to calculate the cell counts of Gli1 +, LeptinR + cells, and fibrosis-driving cells including α-SMA +, α-SMA +/Gli1 +, α-SMA +/LeptinR +, and ProcollagenⅠ +/CD45 + cells. Results:Patients with PMF and MDS with MF-2/3 had higher LeptinR +, α-SMA +, α-SMA +/Gli1 +, and Procollagen Ⅰ +/CD45 + cell counts compared with those with MF-0/1 (all P values<0.05) . However, patients with PMF with MF-2/3 presented with higher Gli1 + and α-SMA +/LeptinR + cell counts than those with MF-0/1 ( P=0.001 and 0.006) , whereas these cells were similar between patients with MDS with MF-0/1 and MF-2/3 ( P=0.169 and 0.067) . In patients with MF-0/1, all fibrosis-driving cells did not differ between PMF and MDS (all P>0.05) . However, in patients with MF-2/3, Procollagen Ⅰ +/CD45 + cell counts were higher in patients with PMF compared with those with MDS ( P=0.007) , while other fibrosis-driving cell counts were similar between these two groups (all P>0.05) . MF grade and fibrosis-driving cell counts were not correlated with overall survival in patients with either PMF or MDS. Conclusion:α-SMA + cells in patients with PMF originated from both Gli1 + and LeptinR + cells, whereas α-SMA + cells in patients with MDS-MF only originated from Gli1 + cells; patients with PMF had higher ProcollagenⅠ +/CD45 + cell counts than those with MDS-MF.

Objective: To explore the clinical implications and prognostic value of TP53 gene mutation and deletion in patients with myelodysplastic syndromes (MDS) . Methods: 112-gene targeted sequencing and interphase fluorescence in situ hybridization (FISH) were used to detect TP53 mutation and deletion in 584 patients with newly diagnosed primary MDS who were admitted from October 2009 to December 2017. The association of TP53 mutation and deletion with several clinical features and their prognostic significance were analyzed. Results: Alterations in TP53 were found in 42 (7.2%) cases. Of these, 31 (5.3%) cases showed TP53 mutation only, 8 (1.4%) cases in TP53 deletion only, 3 (0.5%) cases harboring both mutation and deletion. A total of 37 mutations were detected in 34 patients, most of them (94.6%) were located in the DNA binding domain (exon5-8) , the remaining 2 were located in exon 10 and splice site respectively. Patients with TP53 alterations harbored significantly more mutations than whom without alterations (z=-2.418, P=0.016) . The median age of patients with TP53 alterations was higher than their counterparts[60 (21-78) years old vs 52 (14-83) years old, z=-2.188, P=0.029]. TP53 alterations correlated with complex karyotype and International prognostic scoring system intermediate-2/high significantly (P<0.001) . Median overall survival of patients with TP53 alterations was shorter than the others[13 (95%CI 7.57-18.43) months vs not reached, χ²=12.342, P<0.001], while the significance was lost during complex karyotype adjusted analysis in multivariable model. Conclusion TP53 mutation was more common than deletion in MDS patients. The majority of mutations were located in the DNA binding domain. TP53 alterations were strongly associated with complex karyotype and always coexisted with other gene mutations. TP53 alteration was no longer an independent prognostic factor when complex karyotype were occurred in MDS.

Objective: To explore the effects and molecular mechanism of the selective JAK1inhibitor SHR0302 and Ruxolitinib on myeloproliterative neoplasms (MPN) cell line SET2 and primary cells in vitro. Methods: Cell proliferation was detected by CCK8 kit. Colony forming experiment was conducted to evaluate erythroid burst colony formation unit (BFU-E) of primary cells from MPN patients. Multi-factor kits were used to detect six inflammatory cytokines. Phosphorylated proteins of Jak-Stat signaling pathway were tested by Western blot. Results: At different time points after treated with SHR0302 and Ruxolitinib, the inhibition of cell proliferation was dose dependent by both drugs (P<0.01) . The inhibitory rates of 2.5 μmol/L SHR0302 and 0.1 μmol/L Ruxolitinib on SET2 cells for 72 h were comparable, i.e. (59.94±0.60) % and (64.00±0.66) %, respectively, suggesting that the inhibitory effect of SHR0302 was weaker than that of Ruxolitinib. Similarly, both SHR0302 and Ruxolitinib inhibited BFU-E in primary marrow cells from MPN patients in a dose-dependent manner. SHR0302 1.0 μmol/L produced similar degree of inhibition compared to Ruxolitinib 0.2 μmol/L. Except IL-12, the expression of other 5 cytokines (IL-6, TNF-α, IL-1β, IL-2, IL-8) was significantly inhibited by 1.6 μmol/L SHR0302 in SET2 cells at 24 h (P<0.01) , while Ruxolitinib 1.0 μmol/L had the same effect. Several phosphorylated molecules of Jak-Stat signaling pathway were significantly inhibited by SHR0302 in SET2 cells only for 3 h. P-stat1 (Tyr701) , p-stat3 (Tyr705) were down-regulated when treated with SHR0302 1.0 μmol/L (P<0.05) , p-jak1 (tyr1022/1023) and p-stat5 (Tyr694) were inhibited at 5.0 μmol/L (P<0.05) . Ruxolitinib significantly inhibited the downstream STAT protein at 0.1 μmol/L. Again, the inhibitory effect of SHR0302 on protein expression was weaker than that of Ruxolitinib. Conclusion SHR0302 can effectively inhibit the proliferation of MPN cell line and patients' primary cells, as well as the expression of inflammatory factors. The molecular mechanism is possibly related to the down-regulation of phosphorylated proteins of Jak-Stat signaling pathway. Overall, the anti-proliferative and anti-inflammatory effects of SHR0302 are weaker than those of Ruxolitinib.