1.Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women
Claudia Ha-ting TAM ; Ying WANG ; Chi Chiu WANG ; Lai Yuk YUEN ; Cadmon King-poo LIM ; Junhong LENG ; Ling WU ; Alex Chi-wai NG ; Yong HOU ; Kit Ying TSOI ; Hui WANG ; Risa OZAKI ; Albert Martin LI ; Qingqing WANG ; Juliana Chung-ngor CHAN ; Yan Chou YE ; Wing Hung TAM ; Xilin YANG ; Ronald Ching-wan MA
Diabetes & Metabolism Journal 2025;49(1):128-143
Background:
The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.
Methods:
We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.
Results:
Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.
Conclusion
Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.
2.Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women
Claudia Ha-ting TAM ; Ying WANG ; Chi Chiu WANG ; Lai Yuk YUEN ; Cadmon King-poo LIM ; Junhong LENG ; Ling WU ; Alex Chi-wai NG ; Yong HOU ; Kit Ying TSOI ; Hui WANG ; Risa OZAKI ; Albert Martin LI ; Qingqing WANG ; Juliana Chung-ngor CHAN ; Yan Chou YE ; Wing Hung TAM ; Xilin YANG ; Ronald Ching-wan MA
Diabetes & Metabolism Journal 2025;49(1):128-143
Background:
The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.
Methods:
We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.
Results:
Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.
Conclusion
Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.
3.Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women
Claudia Ha-ting TAM ; Ying WANG ; Chi Chiu WANG ; Lai Yuk YUEN ; Cadmon King-poo LIM ; Junhong LENG ; Ling WU ; Alex Chi-wai NG ; Yong HOU ; Kit Ying TSOI ; Hui WANG ; Risa OZAKI ; Albert Martin LI ; Qingqing WANG ; Juliana Chung-ngor CHAN ; Yan Chou YE ; Wing Hung TAM ; Xilin YANG ; Ronald Ching-wan MA
Diabetes & Metabolism Journal 2025;49(1):128-143
Background:
The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.
Methods:
We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.
Results:
Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.
Conclusion
Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.
4.Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women
Claudia Ha-ting TAM ; Ying WANG ; Chi Chiu WANG ; Lai Yuk YUEN ; Cadmon King-poo LIM ; Junhong LENG ; Ling WU ; Alex Chi-wai NG ; Yong HOU ; Kit Ying TSOI ; Hui WANG ; Risa OZAKI ; Albert Martin LI ; Qingqing WANG ; Juliana Chung-ngor CHAN ; Yan Chou YE ; Wing Hung TAM ; Xilin YANG ; Ronald Ching-wan MA
Diabetes & Metabolism Journal 2025;49(1):128-143
Background:
The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.
Methods:
We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.
Results:
Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.
Conclusion
Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.
5.Discovery of Yersinia LcrV as a novel biased agonist of formyl peptide receptor 1 to bi-directionally modulate intracellular kinases in triple-negative breast cancer.
Yunjun GE ; Huiwen GUAN ; Ting LI ; Jie WANG ; Liang YING ; Shuhui GUO ; Jinjian LU ; Richard D YE ; Guosheng WU
Acta Pharmaceutica Sinica B 2025;15(7):3646-3662
G protein-coupled receptors (GPCRs) are significant drug targets, but their potential in cancer therapy remains underexplored. Conventional GPCR agonists or antagonists have shown limited effectiveness in cancer treatment, necessitating new GPCR-targeting strategies for more effective therapies. This study discovers that Yersinia pestis LcrV, a crucial linker protein for plague infection, acts as a biased agonist of a GPCR, the formyl peptide receptor 1 (FPR1). The LcrV protein induces unique conformational changes in FPR1, resulting in G proteins being activated in a distinctive state without subunit dissociation. This leads to a biased signaling profile characterized by cyclic adenosine monophosphate (cAMP) responses and β-arrestin2 recruitment, but not calcium mobilization. In FPR1-expressing triple-negative breast cancer (TNBC) cells, LcrV bi-directionally modulates intracellular signaling pathways, downregulating extracellular signal-regulated kinases (ERK1/2) and Akt pathways while upregulating Jun N-terminal kinase (JNK) and p38 pathways. This dual modulation results in cell cycle arrest and the inhibition of TNBC cell proliferation. In TNBC xenograft mouse models, long-term LcrV treatment inhibits tumor growth more effectively than a conventional FPR1 antagonist. Additionally, LcrV treatment reprograms tumor cells by reducing stemness-associated proteins OCT4 and c-MYC. Our findings highlight the potential of biased GPCR agonists as a novel GPCR-targeting strategy for cancer treatment.
6.GATA4 Forms a Positive Feedback Loop with CDX2to Transactivate MUC2 in Bile Acids-Induced Gastric Intestinal Metaplasia
Xiaofang YANG ; Ting YE ; Li RONG ; Hong PENG ; Jin TONG ; Xiao XIAO ; Xiaoqiang WAN ; Jinjun GUO
Gut and Liver 2024;18(3):414-425
Background/Aims:
Gastric intestinal metaplasia (GIM), a common precancerous lesion of gastric cancer, can be caused by bile acid reflux. GATA binding protein 4 (GATA4) is an intestinal transcription factor involved in the progression of gastric cancer. However, the expression and regulation of GATA4 in GIM has not been clarified.
Methods:
The expression of GATA4 in bile acid-induced cell models and human specimens was examined. The transcriptional regulation of GATA4 was investigated by chromatin immunoprecipitation and luciferase reporter gene analysis. An animal model of duodenogastric reflux was used to confirm the regulation of GATA4 and its target genes by bile acids.
Results:
GATA4 expression was elevated in bile acid-induced GIM and human specimens.GATA4 bound to the promoter of mucin 2 (MUC2) and stimulate its transcription. GATA4 and MUC2 expression was positively correlated in GIM tissues. Nuclear transcription factor-κB activation was required for the upregulation of GATA4 and MUC2 in bile acid-induced GIM cell models. GATA4 and caudal-related homeobox 2 (CDX2) reciprocally transactivated each other to drive the transcription of MUC2. In chenodeoxycholic acid-treated mice, MUC2, CDX2, GATA4, p50, and p65 expression levels were increased in the gastric mucosa.
Conclusions
GATA4 is upregulated and can form a positive feedback loop with CDX2 to transactivate MUC2 in GIM. NF-κB signaling is involved in the upregulation of GATA4 by chenodeoxycholic acid.
7.Activin and Hepatocyte Growth Factor Promotes Colorectal Cancer Stemness and Metastasis through FOXM1/SOX2/CXCR4Signaling
Hong PENG ; Ting YE ; Lei DENG ; Xiaofang YANG ; Qingling LI ; Jin TONG ; Jinjun GUO
Gut and Liver 2024;18(3):476-488
Background/Aims:
Cancer stem cells (CSCs) are believed to drive tumor development and metastasis. Activin and hepatocyte growth factor (HGF) are important cytokines with the ability to induce cancer stemness. However, the effect of activin and HGF combination treatment on CSCs is still unclear.
Methods:
In this study, we sequentially treated colorectal cancer cells with activin and HGF and examined CSC marker expression, self-renewal, tumorigenesis, and metastasis. The roles of forkhead box M1 (FOXM1) and sex-determining region Y-box 2 (SOX2), two stemness-related transcription factors, in activin/HGF-induced aggressive phenotype were explored.
Results:
Activin and HGF treatment increased the expression of CSC markers and enhanced sphere formation in colorectal cancer cells. The tumorigenic and metastatic capacities of colorectal cancer cells were enhanced upon activin and HGF treatment. Activin and HGF treatment preferentially promoted stemness and metastasis of CD133 + subpopulations sorted from colorectal cancer cells. FOXM1 was upregulated by activin and HGF treatment, and the knockdown of FOXM1 blocked activin/HGF-induced stemness, tumorigenesis, and metastasis of colorectal cancer cells.Similarly, SOX2 was silencing impaired sphere formation of activin/HGF-treated colorectal cancers. Overexpression of SOX2 rescued the stem cell-like phenotype in FOXM1-depleted colorectal cancer cells with activin and HGF treatment. Additionally, the inhibition of FOXM1 via thiostrepton suppressed activin/HGF-induced stemness, tumorigenesis and metastasis.
Conclusions
Sequential treatment with activin and HGF promotes colorectal cancer stemness and metastasis through activation of the FOXM1/SOX2 signaling. FOXM1 could be a potential target for the treatment of colorectal cancer metastasis.
8.Research advances in the clinical features and diagnosis and treatment of non-puerperal mastitis
Wen-Ye GONG ; Chen-Yan HONG ; Yu-Ting ZHONG ; Yi-Qiong ZHENG ; Xi-Ru LI
Medical Journal of Chinese People's Liberation Army 2023;48(12):1478-1485
Non-puerperal mastitis(NPM)is a group of chronic inflammatory diseases with breast pain,lumps,abscesses and sinus tracts/fistulas as the main clinical manifestations,which is easily confused with breast cancer or other benign breast diseases.NPM always leads to a long treatment cycle and high recurrence rate,which may cause a large economic and psychological burden to patients.At present,the etiology and pathogenesis of NPM are still unclear,but it has a certain correlation with immune abnormality,bacterial infection,hormone disorder and other factors.Although several diagnostic methods available,the diagnosis of NPM relies on histopathological examination mainly.The treatment methods of the disease include observation and follow-up,pharmacotherapy,surgical treatment,etc.,but there is still no unified standard for specific treatment timing and treatment selection.In view of the controversy over etiology and treatment selection of NPM,this paper comprehensively summarizes the latest research progress in disease characteristics,clinical diagnosis and treatment of NPM based on domestic and foreign literature,aiming to provide reference and inspiration for the selection of reasonable clinical diagnosis and treatment.
9.Effects of catgut embedding and PGLA embedding at "Zusanli" (ST 36) on skin mast cells, substance P and histamine in healthy rats.
Yu-Jia WANG ; Li-Hong LI ; Xun-Rui HOU ; Hong-Fang NIE ; Xin LIANG ; Qian ZHANG ; Ling CHENG ; Ting-Ting YE
Chinese Acupuncture & Moxibustion 2023;43(8):944-950
OBJECTIVE:
To observe the effects of catgut embedding and polyglycolic acid/poly-lactic acid (PGLA) embedding at "Zusanli" (ST 36) on the activation of local skin mast cells (MC), and expression of substance P (SP) and histamine (HA), and to explore the mechanism of the temporal stimulation effect of acupoint catgut embedding and provide a foundation for further research on the initiation mechanism of acupoint catgut embedding.
METHODS:
One hundred and sixty male SPF-grade SD rats were randomly divided into a blank group (10 rats), a sham-embedding group (50 rats), a catgut group (50 rats), and a PGLA group (50 rats). Each intervention group was further randomly divided into five subgroups according to the time points after intervention: 8 hours, 3 days, 7 days, 14 days, and 21 days, with 10 rats in each subgroup. One-time sham-embedding, catgut embedding and PGLA embedding was given at left "Zusanli" (ST 36) in each intervention group, respectively. The skin and subcutaneous connective tissue of the left "Zusanli" (ST 36) were collected at the corresponding time points after intervention, except for the blank group (only one day before intervention). Toluidine blue staining was used to detect MC count and degranulation, and immunohistochemical staining was used to detect the expression of SP and HA positive cells.
RESULTS:
There was no significant difference in MC count between the subgroups of each intervention group and the blank group (P>0.05). There was no significant difference in MC count between the subgroups of the catgut group and the PGLA group (P>0.05). The MC count in the 8-hour subgroup of PGLA group was higher than that in the 8-hour subgroup of catgut group (P<0.05), while the MC count in the 21-day subgroup of PGLA group was lower than that in the 21-day subgroup of catgut group (P<0.05). Compared with the blank group, the degranulation rates of MC were increased in the 8-hour and 3-day subgroups of sham-embedding group, 8-hour, 3-day, and 7-day subgroups of catgut group, and 8-hour, 3-day, 7-day, and 14-day subgroups of PGLA group (P<0.01, P<0.05, P<0.001). There was no significant difference in the degranulation rate of MC between the subgroups of the catgut group and the PGLA group (P>0.05), and no significant difference in the degranulation rate of MC between the two embedding groups at the same time point (P>0.05). Compared with the blank group, the expression of SP positive cells was increased in the 8-hour subgroup of sham-embedding group, 8-hour, 3-day, 7-day, and 14-day subgroups of catgut group, and 3-day, 7-day, and 14-day subgroups of PGLA group (P<0.001, P<0.05). The expression of SP positive cells in the 7-day subgroup of catgut group was higher than that in the 8-hour subgroup of catgut group (P<0.05), while the expression of SP positive cells in the 14-day subgroup of catgut group was lower than that in the 7-day subgroup of catgut group (P<0.001). The expression of SP positive cells in the 7-day subgroup of PGLA group was higher than that in the 3-day subgroup of PGLA group (P<0.05), while the expression of SP positive cells in the 14-day subgroup of PGLA group was lower than that in the 7-day subgroup of PGLA group (P<0.01). There was no significant difference in the expression of SP positive cells between the subgroups of the two embedding groups at the same time point (P>0.05). Compared with the blank group, the expression of HA positive cells was increased in the 8-hour, 3-day subgroups of sham-embedding group, 8-hour, 3-day, 7-day, and 14-day subgroups of catgut group, and 8-hour, 3-day, 7-day, 14-day, and 21-day subgroups of PGLA group (P<0.001, P<0.01, P<0.05). The expression of HA positive cells in the 14-day subgroup of catgut group was lower than that in the 7-day subgroup of catgut group (P<0.05), while the expression of HA positive cells in the 3-day subgroup of PGLA group was higher than that in the 8-hour subgroup of PGLA group (P<0.05), and the expression of HA positive cells in the 14-day subgroup of PGLA group was lower than that in the 7-day subgroup of PGLA group (P<0.05). The expression of HA positive cells in the 3-day subgroup of PGLA group was higher than that in the 3-day subgroup of catgut group (P<0.05).
CONCLUSION
Catgut and PGLA embedding at "Zusanli" (ST 36) in healthy rats could induce changes in local skin MC, SP, and HA, which may be one of the mechanisms of the temporal stimulation effect after acupoint embedding. There are certain differences between different suture materials. A moderate inflammatory response in the acupoint area, mediated by MC and involving SP and HA, may be one of the initiating factors for the effect of acupoint catgut embedding.
Rats
;
Male
;
Animals
;
Rats, Sprague-Dawley
;
Mast Cells
;
Histamine
;
Substance P/genetics*
;
Catgut
;
Acupuncture Points
10.Effect and mechanism of Puerariae Lobatae Radix in alleviating insulin resistance in T2DM db/db mice based on intestinal flora.
Hong-Yang ZHU ; Ye LIU ; Jia-Rong LI ; Yu-Hui LIU ; Zi-Ling RONG ; Yu-Ting LI ; Shi-Yao CHANG
China Journal of Chinese Materia Medica 2023;48(17):4693-4701
This study aimed to examine the effect and underlying mechanism of Puerariae Lobatae Radix on insulin resistance in db/db mice with type 2 diabetes mellitus(T2DM) based on the analysis of intestinal flora. Fifty db/db mice were randomly divided into a model group(M group), a metformin group(YX group), a high-dose Puerariae Lobatae Radix group(YGG group), a medium-dose Puerariae Lobatae Radix group(YGZ group), and a low-dose Puerariae Lobatae Radix group(YGD group). Another 10 db/m mice were assigned to the normal group(K group). After continuous administration for eight weeks, body weight and blood sugar of mice were measured. Enzyme linked immunosorbent assay(ELISA) was used to detect glycosylated serum protein(GSP) and fasting serum insulin(FINS), and insulin resistance index(HOMA-IR) was calculated. The histopathological changes in the pancreas were observed by HE staining. Tumor necrosis factor(TNF)-α expression in the pancreas was detected using immunohistochemistry. The structural changes in fecal intestinal flora in the K, M, and YGZ groups were detected by 16S rRNA. Western blot was used to detect the expression of farnesoid X receptor(FXR) and takeda G protein-coupled receptor 5(TGR5) in the ileum, cholesterol 7α-hydroxylase(CYP7A1) and sterol 27α-hydroxylase(CYP27A1) in the liver, and G protein-coupled receptors 41(GPR41) and 43(GPR43) in the colon. Compared with the K group, the M group showed increased body weight, blood sugar, serum GSP, fasting blood glucose(FBG), and FINS, increased HOMA-IR, inflammatory infiltration of islet cells, necrosis and degeneration of massive acinar cells, unclear boundary between islet cells and acinar cells, disturbed intestinal flora, and down-regulated FXR, TGR5, CYP7A1, CYP27A1, GPR41, and GPR43. Compared with the M group, the YX, YGG, YGZ, and YGD groups showed decreased body weight, blood sugar, serum GSP, FBG, and FINS, islet cells with intact and clumpy morphology and clear boundary, necrosis of a few acinar cells, and more visible islet cells. The intestinal flora in the YGZ group changed from phylum to genus levels, and the relative abundance of intestinal flora affecting the metabolites of intestinal flora increased. The protein expression of FXR, TGR5, CYP7A1, CYP27A1, GPR41, and GPR43 increased. The results show that Puerariae Lobatae Radix can improve the inflammatory damage of pancreatic islet cells and reduce insulin resistance in db/db mice with T2DM. The mechanism of action may be related to the increase in the abundance of Actinobacteria, Bifidobacterium, and Bacteroides in the intestinal tract and the protein expression related to metabolites of intestinal flora.
Mice
;
Animals
;
Insulin Resistance
;
Blood Glucose/metabolism*
;
Diabetes Mellitus, Type 2/genetics*
;
Pueraria/chemistry*
;
Gastrointestinal Microbiome
;
RNA, Ribosomal, 16S
;
Body Weight
;
Necrosis

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