Development and evaluation of an intelligent individualized nutrition management (iNutrition) applet for postdischarge gastric cancer patients following gastrectomy.

Purpose: This study aimed to develop an intelligent individualized nutrition management (iNutrition) applet for postdischarge gastric cancer patients following gastrectomy based on the Health Action Process Approach (HAPA) theory and using the design thinking method.

Methods: We developed the iNutrition applet using the design thinking method, including the following phases: (1) "empathize and define," which focused on understanding patients' needs and establishing the goals of the iNutrition applet through qualitative interviews; (2) "ideate and prototype," during which literature reviews and multidisciplinary interactive workshops to conceptualize innovative solutions were conducted and a fully functional iNutrition applet was developed; and (3) "test," during which the iNutrition applet was evaluated through usability testing.

Results: Based on qualitative interviews with 15 patients, we determined that the iNutrition applet would need to satisfy patients' needs in the following areas: adjustment to postoperative anatomical changes, evidence-based knowledge, communication with peers, consultation with medical staff, tailored nutritional plans, coping plans, and needs for technology.

Effects of a nurse-led individualized mHealth nutrition intervention for post-discharged gastric cancer patients following gastrectomy: A randomized controlled trial.

Objective: To evaluate the effects of a nurse-led individualized mHealth nutrition intervention on nutritional status, nutritional intake, cognitive beliefs related to nutritional behavior, weight loss, blood parameters, gastrointestinal symptoms, and quality of life in post-discharged gastric cancer patients following gastrectomy.

Design: This was an assessor-blinded parallel-arm randomized controlled trial with a repeated-measures design.

Setting(s): The participants were recruited from inpatient gastric surgery units of two tertiary hospitals in Guangzhou, China.

DMMR status and synchronous lesions predicts metachronous lesions after curative resection for rectal cancer.

Background: There are no established standard colonoscopy surveillance protocols for patients after curative rectal cancer resection. We investigated the predictive factors for colorectal neoplasms during surveillance colonoscopies to identify patients who are at risk of developing metachronous neoplasms in the residual colorectum.

Methods: This was a single-center, retrospective study that included patients with diagnosis of rectal carcinoma who had undergone curative resection from October 2012 to June 2018.

Raddeanin A Inhibits Colorectal Cancer Growth and Ameliorates Oxaliplatin Resistance Through the WNT/β-Catenin Signaling Pathway.

Chemotherapy based on oxaliplatin (OXA) is the first-line treatment for advanced colorectal cancer (CRC), and acquired resistance to OXA is the main reason for clinical treatment failure in CRC. To search for compounds that can reverse OXA resistance, we screened a small molecule inhibitor drug library and identified a drug, Raddeanin A (RA), that enhanced the anticancer effect of OXA. Using human CRC cell lines, CRC organoid models, and subcutaneous tumorigenic studies, we determined that RA inhibits the proliferation of CRC cells by promoting apoptosis and inducing cell cycle arrest.

Small extracellular vesicles derived from adipose mesenchymal stem cells alleviate intestinal fibrosis by inhibiting the FAK/Akt signaling pathway via MFGE8.

Background: Intestinal fibrosis is one of the most frequent and severe complications of Crohn's disease. Accumulating studies have reported that adipose mesenchymal stem cell-derived small extracellular vesicles (AMSC-sEVs) could alleviate renal fibrosis, hepatic fibrosis, etc., while their potential for treating intestinal fibrosis remains uncertain.

The effect of periodontal treatments on endothelial function in degrees of periodontitis patients: A systematic review and meta-analysis.

Objective: This article focus on patients with moderate-to-severe periodontitis and periodontitis patients with cardiovascular disease. After they received periodontal initial therapy or antimicrobial drug treatment, was there any improvement in endothelial function during short- and long-term followups?

Method: Relevant randomized controlled trials and clinical trials up to 30th June 2024 were identified and retrieved from electronic databases including PubMed, Cochrane Library, Web of Science and CNKI databases, with periodontitis therapy, periodontal disease and endothelial function as the keywords. The weighted (WMD) or standardized mean difference (SMD) was calculated using a fixed- or random-effect model and assessed heterogeneous results.

Zinc finger protein 180 induces an apoptotic phenotype by activating METTL14 transcriptional activity in colorectal cancer.

Zinc finger protein 180 (ZNF180) is a multifunctional protein that interacts with nucleic acids and regulates various cellular processes; however, the function of ZNF180 in colorectal cancer (CRC) remains unclear. The present study investigated the role and function of ZNF180 in CRC, and aimed to reveal the underlying molecular mechanism. The results revealed that ZNF180 was downregulated in CRC tissues and was associated with a good prognosis in patients with CRC.

Electrosynthesis of Transition Metal Coordinated Polymers for Active and Stable Oxygen Evolution.

Transition metal coordination polymers (TM-CP) are promising inexpensive and flexible electrocatalysts for oxygen evolution reaction in water electrolysis, while their facile synthesis and controllable regulation remain challenging. Here we report an anodic oxidation-electrodeposition strategy for the growth of TM-CP (TM=Fe, Co, Ni, Cr, Mn; CP=polyaniline, polypyrrole) films on a variety of metal substrates that act as both catalyst supports and metal ion sources. An exemplified bimetallic NiFe-polypyrrole (NiFe-PPy) features superior mechanical stability in friction and exhibits high activity with long-term durability in alkaline seawater (over 2000 h) and anion exchange membrane electrolyzer devices at current density of 500 mA cm.

ELMO1 ameliorates intestinal epithelial cellular senescence via SIRT1/p65 signaling in inflammatory bowel disease-related fibrosis.

Background: Intestinal fibrosis is a common complication in inflammatory bowel disease (IBD), which still lacks of reliable markers and therapeutic options. Cellular senescence has been considered an important mechanism of intestinal fibrosis, but the underlying molecular link remains elusive.

Methods: Tissues were stained using α-smooth muscle actin (α-SMA), fibronectin, and collagen I as markers of myofibroblastic differentiation.

The EIF3H-HAX1 axis increases RAF-MEK-ERK signaling activity to promote colorectal cancer progression.

Eukaryotic initiation translation factor 3 subunit h (EIF3H) plays critical roles in regulating translational initiation and predicts poor cancer prognosis, but the mechanism underlying EIF3H tumorigenesis remains to be further elucidated. Here, we report that EIF3H is overexpressed in colorectal cancer (CRC) and correlates with poor prognosis. Conditional Eif3h deletion suppresses colorectal tumorigenesis in AOM/DSS model.

Favoring CO Intermediate Stabilization and Protonation by Crown Ether for CO Electromethanation in Acidic Media.

The large-scale deployment of CO electroreduction is hampered by deficient carbon utilization in neutral and alkaline electrolytes due to CO loss into (bi)carbonates. Switching to acidic media mitigates carbonation, but suffers from low product selectivity because of hydrogen evolution. Here we report a crown ether decoration strategy on a Cu catalyst to enhance carbon utilization and selectivity of CO methanation under acidic conditions.

Chaiqin chengqi decoction alleviates acute pancreatitis by targeting gasdermin D-mediated pyroptosis.

Ethnopharmacological Relevance: Acute pancreatitis (AP) is an acute inflammatory condition of pancreas with high morbidity and mortality, which has no effective medical treatment. Chaiqin chengqi decoction (CQCQD) has been clinically used for AP for many years in China. However, the underlying mechanisms are still unknown.

Immunotherapy in leukaemia.

Leukaemia is the common name for a group of malignant diseases of the haematopoietic system with complex classifications and characteristics. Remarkable progress has been made in basic research and preclinical studies for acute leukaemia compared to that of the many other types/subtypes of leukaemia, especially the exploration of the biological basis and application of immunotherapy in acute myeloid leukaemia (AML) and B-cell acute lymphoblastic leukaemia (B-ALL). In this review, we summarize the basic approaches to immunotherapy for leukaemia and focus on the research progress made in immunotherapy development for AML and ALL.

Prognostic factors and the necessity of chemotherapy for stage II gastric cancer: a model based on multicenter retrospective study.

Background: This study aimed to construct a prognostic model for prognosis prediction and assess the response to adjuvant chemotherapy (ACT) of stage II gastric cancer (GC) patients on high and low survival risk stratifications.

Methods: We retrospectively reviewed 547 stage II gastric cancer patients who underwent D2 radical gastrectomy from January 2009 to May 2017 in Sixth Affiliated Hospital of Sun Yat-Sen University (SAH-SYSU), the Fujian Medical University Union Hospital (FJUUH), and the Sun Yat-Sen University Cancer Center (SYSUCC).The propensity score matching (PSM) of all variables was performed to balance selective bias between ACT and surgery alone (SA) groups.

Effectiveness of mHealth diet interventions in cancer survivors: A systematic review and meta-analysis of randomized controlled trials.

Objective: To evaluate the effects of mobile health (mHealth) diet interventions on cancer survivors' diet intake, weight change, waist circumference, hip circumference, and quality of life (QoL).

Methods: The PubMed, Embase, Web of Science, Cochrane Library, Scopus, ProQuest, China National Knowledge Infrastructure, Wanfang, and SinoMed databases were searched from their inception to September 25, 2022. Randomized controlled trials (RCTs) on the effects of mHealth diet interventions in cancer survivors were identified.

Hollow Hierarchical Cu O-Derived Electrocatalysts Steering CO Reduction to Multi-Carbon Chemicals at Low Overpotentials.

The electrochemical reduction of carbon dioxide into multi-carbon products (C ) using renewably generated electricity provides a promising pathway for energy and environmental sustainability. Various oxide-derived copper (OD-Cu) catalysts have been showcased, but still require high overpotential to drive C production owing to sluggish carbon-carbon bond formation and low CO intermediate (*CO) coverage. Here, the dilemma is circumvented by elaborately devising the OD-Cu morphology.

Advanced lung cancer inflammation index predicts the outcomes of patients with non-metastatic gastric cancer after radical surgical resection.

Background: The prognostic value of the advanced lung cancer inflammation index (ALI) has been demonstrated in various tumors. However, the prognostic significance of ALI in non-metastatic gastric cancer (GC) remains unclear. This study aimed to identify the prognostic values of ALI in patients with non-metastatic GC who underwent radical surgical resection.

DeepGA for automatically estimating fetal gestational age through ultrasound imaging.

Accurate estimation of gestational age (GA) is vital for identifying fetal abnormalities. Conventionally, GA is estimated by measuring the morphology of the cranium, abdomen, and femur manually and inputting them into the classic Hadlock formula to assess fetal growth. However, this procedure incurs considerable overhead and suffers from bias caused by the operators, yielding suboptimal estimations.

Nomogram for predicting overall survival time of patients with stage IV colorectal cancer.

Background: Prognosis varies among stage IV colorectal cancer (CRC). Our study aimed to build a robust prognostic nomogram for predicting overall survival (OS) of patients with stage IV CRC in order to provide evidence for individualized treatment.

Method: We collected the information of 16,283 patients with stage IV CRC in the Surveillance, Epidemiology, and End Results (SEER) database and then randomized these patients in a ratio of 7:3 into a training cohort and an internal validation cohort.

SIRGs score may be a predictor of prognosis and immunotherapy response for esophagogastric junction adenocarcinoma.

Background: Esophagogastric junction adenocarcinoma (EGJA) is a special malignant tumor with unknown biological behavior. PD-1 checkpoint inhibitors have been recommended as first-line treatment for advanced EGJA patients. However, the biomarkers for predicting immunotherapy response remain controversial.

Indications for Adjuvant Chemotherapy in Stage II Gastric Cancer After D2 Gastrectomy-A Chinese Multicenter Study.

Background: The benefit of adjuvant chemotherapy (AC) for patients with stage II gastric cancer remains controversial. This study aimed to explore the indications for adjuvant chemotherapy in patients with stage II gastric cancer by constructing an individual prediction model.

Patients And Methods: In this Chinese multicenter study, a total of 1012 patients with stage II gastric cancer after D2 radical gastrectomy were retrospectively analyzed.

Predicting pathologic complete response in locally advanced rectal cancer patients after neoadjuvant therapy: a machine learning model using XGBoost.

Purpose: Watch and wait strategy is a safe and effective alternative to surgery in patients with locally advanced rectal cancer (LARC) who have achieved pathological complete response (pCR) after neoadjuvant therapy (NAT); present restaging methods do not meet clinical needs. This study aimed to construct a machine learning (ML) model to predict pCR preoperatively.

Methods: LARC patients who received NAT were included to generate an extreme gradient boosting-based ML model to predict pCR.