1.Effects of Fas protein expression on neural apoptosis in hippocampus after traumatic brain injury in rats
Jingxia ZHAO ; Qingjun LIU ; Jianzhong CIU ; Junling GAO ; Jun HONG ; Zhaoya SONG
Journal of Third Military Medical University 2002;0(12):-
Objective To study the mechanisms of nerve cell apoptosis after traumatic brain injury and the influences of CTP on rats after brain trauma. Methods The model of severe closed traumatic brain injury (TBI) was used. A total of 300 Wistar rats were divided randomly into TBI group, CTP treatment group, and sham operation group. The Fas protein expression and neural apoptosis in each group were observed at 3, 6, 12, 24, 48, 72, 168, and 336 h after TBI. At the same time, the rest 12 rats were employed as the normal controls. Immunohistochemistry and TUNEL staining were used to observe the neural apoptosis and the expression of Fas protein in hippocampus of rats after TBI. Results Increased expression of Fas protein and neural apoptosis were found in the rat hippocampus after TBI. Conclusion The increased expression of Fas protein may result in neural apoptosis after TBI. CTP can reduce the expression of Fas protein and neural apoptosis.
2. Clinicopathological characteristics of type 2 diabetes mellitus complicated with colorectal cancer
Zihan HAN ; Jiajia CHEN ; Nan FENG ; Pengfei NIU ; Can SONG ; Zhaoya GAO ; Qingkun GAO ; Dengbo JI ; Wenbo WANG ; Fuming LEI ; Jin GU
Chinese Journal of Gastrointestinal Surgery 2019;22(10):966-971
Objective:
To analyze the clinicopathological features of type 2 diabetes mellitus complicated with colorectal cancer (DCRC).
Methods:
A case-control study was conducted. Inclusion criteria: (1) hospitalized patients receiving fibrocolonoscopy; (2) adenocarcinoma and mucinous adenocarcinoma diagnosed by pathology; (3) with preoperative cTNM clinical staging; (4) colorectal cancer patients undergoing surgical treatment; (5) with postoperative pTNM staging; (6) no smoking or drinking habits. Exclusion criteria: (1) familial adenomatous polyposis (FAP); (2) Lynch syndrome; (3) carcinoma of anal canal and perianal carcinoma; (4) multiple primary cancer; (5) with serious cardiocerebrovascular diseases or multiple organ failure. Clinicopathlogical data of 32 DCRC patients who were diagnosed and treated in Peking University Shougang Hospital from December 2017 to December 2018 were retrospectively collected and analyzed. Forty nondiabetic colorectal cancer (CRC) patients during the same period were selected as control group according to the sex ratio and the age difference less than 5 years. Student′s
3.Metagenomic and targeted metabolomic analyses reveal distinct phenotypes of the gut microbiota in patients with colorectal cancer and type 2 diabetes mellitus.
Yong YANG ; Zihan HAN ; Zhaoya GAO ; Jiajia CHEN ; Can SONG ; Jingxuan XU ; Hanyang WANG ; An HUANG ; Jingyi SHI ; Jin GU
Chinese Medical Journal 2023;136(23):2847-2856
BACKGROUND:
Type 2 diabetes mellitus (T2DM) is an independent risk factor for colorectal cancer (CRC), and the patients with CRC and T2DM have worse survival. The human gut microbiota (GM) is linked to the development of CRC and T2DM, respectively. However, the GM characteristics in patients with CRC and T2DM remain unclear.
METHODS:
We performed fecal metagenomic and targeted metabolomics studies on 36 samples from CRC patients with T2DM (DCRC group, n = 12), CRC patients without diabetes (CRC group, n = 12), and healthy controls (Health group, n = 12). We analyzed the fecal microbiomes, characterized the composition and function based on the metagenomics of DCRC patients, and detected the short-chain fatty acids (SCFAs) and bile acids (BAs) levels in all fecal samples. Finally, we performed a correlation analysis of the differential bacteria and metabolites between different groups.
RESULTS:
Compared with the CRC group, LefSe analysis showed that there is a specific GM community in DCRC group, including an increased abundance of Eggerthella , Hungatella , Peptostreptococcus , and Parvimonas , and decreased Butyricicoccus , Lactobacillus , and Paraprevotella . The metabolomics analysis results revealed that the butyric acid level was lower but the deoxycholic acid and 12-keto-lithocholic acid levels were higher in the DCRC group than other groups ( P < 0.05). The correlation analysis showed that the dominant bacterial abundance in the DCRC group ( Parvimonas , Desulfurispora , Sebaldella , and Veillonellales , among others) was negatively correlated with butyric acid, hyodeoxycholic acid, ursodeoxycholic acid, glycochenodeoxycholic acid, chenodeoxycholic acid, cholic acid and glycocholate. However, the abundance of mostly inferior bacteria was positively correlated with these metabolic acid levels, including Faecalibacterium , Thermococci , and Cellulophaga .
CONCLUSIONS
Unique fecal microbiome signatures exist in CRC patients with T2DM compared to those with non-diabetic CRC. Alterations in GM composition and SCFAs and secondary BAs levels may promote CRC development.
Humans
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Gastrointestinal Microbiome/genetics*
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Diabetes Mellitus, Type 2
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Microbiota
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Bacteria/genetics*
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Fatty Acids, Volatile
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Colorectal Neoplasms/metabolism*
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Butyrates
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Feces/microbiology*