BACKGROUND:Cognitive impairment is the most common complication after stroke,and its severity is closely related to the patient's prognosis.The prognosis of patients can be significantly improved if the severity of their cognitive impairment is recognized and targeted early.OBJECTIVE:To initially explore potential biomarkers affecting the progression of post-stroke cognitive impairment,thereby providing a richer and unique reference for the study of their pathophysiological mechanisms.METHODS:Using ultra performance liquid chromatography-mass spectrometry,non-targeted metabolomics analysis was conducted on serum samples from patients with mild and moderate post-stroke cognitive impairment to identify differential metabolites between the two groups.To further validate the diagnostic efficacy of the differential metabolites,the receiver operating characteristic curve analysis was used to evaluate their accuracy and sensitivity in distinguishing disease severity.In addition,pathway analysis was conducted on the differential metabolites.RESULTS AND CONCLUSION:(1)There were significant differences in metabolic profiles between patients with mild and moderate post-stroke cognitive impairment,and 9 differential metabolites were screened by the receiver operating characteristic curve.(2)Differential metabolite pathway analysis revealed that the metabolic pathways affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment included tryptophan metabolism,D-amino acid metabolism,biotin metabolism,retinol metabolism,aminoacyl-tRNA biosynthesis,lysine degradation,protein digestion and uptake,pyrimidine metabolism,cysteine and methionine metabolism,ABC transporter proteins,amino acid biosynthesis,and 2-oxocarboxylic acid metabolism.To conclude,9 potential biomarkers affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment have been identified,involving 12 metabolic pathways including tryptophan metabolism,D-amino acid metabolism and retinol metabolism.

BACKGROUND:Cognitive impairment is the most common complication after stroke,and its severity is closely related to the patient's prognosis.The prognosis of patients can be significantly improved if the severity of their cognitive impairment is recognized and targeted early.OBJECTIVE:To initially explore potential biomarkers affecting the progression of post-stroke cognitive impairment,thereby providing a richer and unique reference for the study of their pathophysiological mechanisms.METHODS:Using ultra performance liquid chromatography-mass spectrometry,non-targeted metabolomics analysis was conducted on serum samples from patients with mild and moderate post-stroke cognitive impairment to identify differential metabolites between the two groups.To further validate the diagnostic efficacy of the differential metabolites,the receiver operating characteristic curve analysis was used to evaluate their accuracy and sensitivity in distinguishing disease severity.In addition,pathway analysis was conducted on the differential metabolites.RESULTS AND CONCLUSION:(1)There were significant differences in metabolic profiles between patients with mild and moderate post-stroke cognitive impairment,and 9 differential metabolites were screened by the receiver operating characteristic curve.(2)Differential metabolite pathway analysis revealed that the metabolic pathways affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment included tryptophan metabolism,D-amino acid metabolism,biotin metabolism,retinol metabolism,aminoacyl-tRNA biosynthesis,lysine degradation,protein digestion and uptake,pyrimidine metabolism,cysteine and methionine metabolism,ABC transporter proteins,amino acid biosynthesis,and 2-oxocarboxylic acid metabolism.To conclude,9 potential biomarkers affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment have been identified,involving 12 metabolic pathways including tryptophan metabolism,D-amino acid metabolism and retinol metabolism.

Objective To explore the value of the Kyoto classification score in differentiating undifferentiated gastric cancer from differentiated gastric cancer,and establish a predictive scoring system for differentiating undifferentiated gastric cancer under endoscope.Methods 183 gastric cancer patients were retrospectively analyzed.According to pathology,95 patients were included in the differentiated group and 88 were included in the undifferentiated group.The age,gender and Kyoto classification score of patients in the two groups were compared,and the factors associated with undifferentiated gastric cancer were screened by binary Logistic regression analysis.The predictive scoring system for undifferentiated gastric cancer was established based on the obtained odds ratio(O(R))values,and the receiver operator characteristic curve(ROC curve)was drawn.Results Compared with differentiated group,the total scores of Kyoto classification,atrophy,intestinal metaplasia and diffuse redness were lower in undifferentiated group(P<0.01).Under the age of 55(P<0.05),female(P<0.05),and C1 atrophy or no atrophy(P<0.01)were independently associated with undifferentiated gastric cancer.The area under the curve(AUC)of predictive scoring system for undifferentiated gastric cancer was 0.881(95％CI:0.828～0.934),and the sensitivity and specificity were 80.70％and 90.50％at the optimal cut-off value.Conclusion There are differences in Kyoto classification scores between undifferentiated and differentiated gastric cancer patients.The predictive scoring system of undifferentiated gastric cancer established by us has certain value in distinguishing undifferentiated gastric cancer under endoscope.

Objective To analyze the research hotspots and trends in the field of cancer pain drugs based on literature.Methods This article included research literature related to cancer pain and drugs published in the China National Knowledge Infrastructure(CNKI)and Web of Science databases.The visual analysis of the literature was performed by software of VOS-viewer 1.6.18 and CiteSpace 6.2.R3,including drawing the graphs and comparing the number of published articles,journals,institutions,authors and keywords were also analyzed.Results A total of 4 774 literatures were included.The journals with the largest number of articles published were the Chinese Journal of Pain Medicine and the Journal of Pain and Symptom Management.The authors with the highest number of articles published were Liu Duanqi and Bruera Eduardo.The institutions with the highest number of publications were Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology,and the University of Texas Anderson Cancer Center.The most frequent keyword was cancer pain.The keywords with the strongest citation bursts included Clinical efficacy average daily cost,and primary care.Conclusion Since the beginning of the 21st century,the research on cancer pain drugs has gradually heated up,and the number of papers has shown an upward trend.From 2019 to 2022,the research on cancer pain drugs at home and abroad mainly focused on the clinical efficacy and average daily cost.This article has clarified the research hotspots of cancer pain drugs in recent years to a certain extent and has certain reference significance for future research.

Platinum-based chemotherapy resistance is a key factor of poor prognosis and recurrence in hepatocellular carcinoma (HCC). Herein, RNAseq analysis revealed that elevated tubulin folding cofactor E (TBCE) expression is associated with platinum-based chemotherapy resistance. High expression of TBCE contributes to worse prognoses and earlier recurrence among liver cancer patients. Mechanistically, TBCE silencing significantly affects cytoskeleton rearrangement, which in turn increases cisplatin-induced cycle arrest and apoptosis. To develop these findings into potential therapeutic drugs, endosomal pH-responsive nanoparticles (NPs) were developed to simultaneously encapsulate TBCE siRNA and cisplatin (DDP) to reverse this phenomena. NPs (siTBCE + DDP) concurrently silenced TBCE expression, increased cell sensitivity to platinum treatment, and subsequently resulted in superior anti-tumor effects both in vitro and in vivo in orthotopic and patient-derived xenograft (PDX) models. Taken together, NP-mediated delivery and the co-treatment of siTBCE + DDP proved to be effective in reversing chemotherapy resistance of DDP in multiple tumor models.

Recently, the situation of the preventing and controlling of the novel coronavirus infection has changed. After patients with mental disorders are infected with the new coronavirus (hereinafter referred to as the new coronavirus), they will face the following problems: whether the drugs related to the new coronavirus infection can be used at the same time as the psychiatric drugs, and whether there will be pharmacokinetic or pharmacodynamic interactions between the medicines How to avoid the safety risks brought by drug interactions? Focusing on the above issues, this article puts forward some suggestions based on the summary of existing evidence, hoping to help front-line doctors.

Recently, the situation of the preventing and controlling of the novel coronavirus infection has changed. After patients with mental disorders are infected with the new coronavirus (hereinafter referred to as the new coronavirus), they will face the following problems: whether the drugs related to the new coronavirus infection can be used at the same time as the psychiatric drugs, and whether there will be pharmacokinetic or pharmacodynamic interactions between the medicines How to avoid the safety risks brought by drug interactions? Focusing on the above issues, this article puts forward some suggestions based on the summary of existing evidence, hoping to help front-line doctors.

Objective: Some pharmacological treatments are ineffective in parts of patients with major depressive disorder (MDD), hence this needs prediction of effective treatment responses. The study aims to examine the relationship between dynamic functional connectivity (dFC) of the hippocampal subregion and antidepressant improvement of MDD patients and to estimate the capability of dFC to predict antidepressant efficacy. Methods: The data were from 70 MDD patients and 43 healthy controls (HC); the dFC of hippocampal subregions was estimated by sliding-window approach based on resting-state functional magnetic resonance imaging (R-fMRI). After 3 months treatment, 36 patients underwent second R-fMRI scan and were then divided into the response group and non-response group according to clinical responses. Results: The result manifested that MDD patients exhibited lower mean dFC of the left rostral hippocampus (rHipp.l) compared with HC. After 3 months therapy, the response group showed lower dFC of rHipp.l compared with the non-response group. The dFC of rHipp.l was also negatively correlated with the reduction rate of Hamilton Depression Rating Scale. Conclusion These findings highlighted the importance of rHipp in MDD from the dFC perspective. Detection and estimation of these changes might demonstrate helpful for comprehending the pathophysiological mechanism and for assessment of treatment reaction of MDD.

Objective:To understand the correlation between urinary iodine, salt iodine and thyroid nodules in children aged 8 - 10 years and pregnant women in different regions of Fujian Province, and to explore the influencing factors of thyroid diseases.Methods:A cross-sectional study was conducted in Dongshan County and Pingtan County of Fujian Province from September to November 2019. According to the inclusion criteria, 140 pregnant women and 270 children aged 8 - 10 years were selected in Dongshan County, and 189 pregnant women and 368 children aged 8 - 10 years were selected in Pingtan County. Random urine and edible salt samples were collected to determine iodine content, and iodine nutrition was evaluated in each population. Thyroid was examined by B ultrasound and questionnaire survey of thyroid diseases was carried out. The correlation between urinary iodine, salt iodine and thyroid nodules in children aged 8 - 10 years and pregnant women in different regions was analyzed.Results:There were statistically significant differences in the median urinary iodine among children in different genders (male: 151.30 μg/L, female: 130.30 μg/L) and regions (Dongshan County: 160.30 μg/L, Pingtan County: 129.70 μg/L, P < 0.05); there was no significant difference in the median urinary iodine among children of different ages (8, 9, 10 years old: 141.60, 128.05, 150.30 μg/L, P > 0.05). The median urinary iodine among pregnant women was 119.30 μg/L, and there was no significant difference in median urinary iodine among pregnant women in different stages and regions ( P > 0.05). The medians of salt iodine from children and pregnant women were 20.30 and 23.65 mg/kg, respectively. Urinary iodine in children was positively correlated with salt iodine ( r = 0.13, P < 0.05). However, there was no correlation between urinary iodine and salt iodine in pregnant women ( P > 0.05). The detection rate of thyroid nodules in children was 21.79% (139/638). There was significant difference in the detection rate of thyroid nodules in children of different ages ( P < 0.05). The detection rate of thyroid nodules in pregnant women was 4.26% (14/329). There was no correlation between detection rate of thyroid nodules and urinary iodine or salt iodine in children and pregnant women ( P > 0.05). Thyroid volume of children in the two counties was within the normal range, and there was no correlation between thyroid volume and urinary iodine or salt iodine ( P > 0.05). Conclusions:The iodine nutrition of children in Dongshan County and Pingtan County is suitable (100 - 199 μg/L), while iodine deficiency (< 150 μg/L) exists in pregnant women. Urinary iodine in children is related to salt iodine, and urinary iodine increased with increase of salt iodine. The prevalence of thyroid nodules in children of different ages is different, which requires further study. The detection rate of thyroid nodules in children and pregnant women is not correlated with urinary iodine and salt iodine.

Objective:To understand the epidemic situation of drinking-water-borne endemic fluorosis in Fujian Province, and to provide more information for control and evaluation of the disease.Methods:In 2019, all villages in the 36 drinking-water-borne endemic fluorosis areas in Fujian Province were selected, in which the situation of water improvement was investigated, fluorine content of drinking water was tested and dental fluorosis of all the children aged 8 to 12 was examined. The urinary fluoride content and skeletal fluorosis of people over 25-year old was investigated in some of those villages.Results:A total of 153 disease affected villages were investigated, in which the water improvement projects were all completed. The fluoride content in each tap water sample of the water improvement project ranged from 0.00 to 1.05 mg/L, and the qualified rate was 100.00% (153/153). The normal operation rate of the water improvement projects was 95.42% (146/153). The detection rate of dental fluorosis in children aged 8 to 12 was 2.72% (76/2 789) with a dental fluorosis index 0.07. The detection rate of children's dental fluorosis was statistically different in different age groups, so was it in areas with different coverage rate of water improvement projects ( P < 0.05). The geometric mean of urinary fluorine level in adults was 0.80 mg/L ( n = 3 765), and the detection rate of skeletal fluorosis was 2.00% (6/300). Conclusion:Although some achievements have been made in the prevention and control of drinking-water-borne endemic fluorosis in Fujian Province, it is still necessary to further consolidate and enhance the water improvement projects.