dpp-4 inhibitors Search Results


93
Elabscience Biotechnology dpp iv inhibitor screening assay kit
Dpp Iv Inhibitor Screening Assay Kit, supplied by Elabscience Biotechnology, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dpp-4+inhibitors/Dipeptidyl+Peptidase+IV+(DPP4)+Inhibitor+Screening+Assay+Kit/10__1051_slash_bioconf_slash_202516802001-75-2-1
Average 93 stars, based on 1 article reviews
dpp iv inhibitor screening assay kit - by Bioz Stars, 2026-09
93/100 stars
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90
AstraZeneca ltd dpp4 (represented by sitagliptin mainly)
Model parameters
Dpp4 (Represented By Sitagliptin Mainly), supplied by AstraZeneca ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dpp-4+inhibitors/dpp+4+inhibitors/pmc10570198-45-12-20
Average 90 stars, based on 1 article reviews
dpp4 (represented by sitagliptin mainly) - by Bioz Stars, 2026-09
90/100 stars
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90
Bachem dpp-4 assay buffer
Linagliptin (LGT) has neutral effects on body weight and aortic advanced glycation end-products (AGE). a WD feeding for 4 months resulted in significant weight gain in both the cohorts. b Plasma <t>DPP-4</t> activity was significantly decreased with LGT treatment. c AGE immunostaining in aorta was significantly increased in WDC. LGT treatment did not decrease it significantly. Quantification and representative images shown. Values are mean ± SE. CDC control diet control, CDL control diet linagliptin, WDC western diet control, WDL western diet linagliptin. Post-hoc comparisons within a time point; *p < 0.05 CDC vs WDC; # p < 0.05 CDC vs CDL; † p < 0.05 WDC vs WDL. Scale bars represent 50 mμ
Dpp 4 Assay Buffer, supplied by Bachem, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dpp-4+inhibitors/dpp+4+inhibitor+diprotin+a/pmc04938903-47-6-15
Average 90 stars, based on 1 article reviews
dpp-4 assay buffer - by Bioz Stars, 2026-09
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90
Becton Dickinson pe- or apc-conjugated dpp4
( a ) Single-cell transcriptional screening of all known cell SMs to identify those with differential expression (most useful for cell subtyping). Gene expression presented as fold change from median (yellow—high expression, 32-fold above median to blue—low expression, 32-fold below median; grey—no expression). ( b ) Single-cell analysis focused on high copy number, differentially distributed SM genes identified a cell subpopulation present across repeated k-means clusterings. ( c ) Linear discriminate analysis (LDA) identified SMs for prospective subpopulation isolation, with ROC analysis of cluster sensitivity and specificity utilizing the ‘best’ individual or groups of genes determined using forward feature selection. ( d ) Single-cell confirmation of prospective hASC subpopulation isolation via FACS using two LDA-defined SMs <t>(DPP4</t> and CD55). ( e ) Positive hASC subpopulation enrichment enhances gene expression distributions for multiple genes related to tissue regeneration (selected significantly affected genes displayed as determined via Kolmogorov–Smirnov testing). ( f ) Single-cell whisker plots and pooled cell RT-PCR demonstrating a confirmation of selected single-cell gene distribution findings on a population level. ( g ) Top scoring IPA-constructed transcriptome network based on the genes significantly increased following positive hASC selection. Significant ‘seed’ genes are coloured in red to distinguish them from the remaining ‘inferred’ entities in the network. *indicates P ≤0.05 for positive selection versus hASCs or negative selection, via one-way ANOVA. Error bars represent s.e.m.
Pe Or Apc Conjugated Dpp4, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dpp-4+inhibitors/dpp+4+inhibitors/pmc05512622-66-48-50
Average 90 stars, based on 1 article reviews
pe- or apc-conjugated dpp4 - by Bioz Stars, 2026-09
90/100 stars
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90
ApexBio dpp4 inhibitor b3941
( a ) Single-cell transcriptional screening of all known cell SMs to identify those with differential expression (most useful for cell subtyping). Gene expression presented as fold change from median (yellow—high expression, 32-fold above median to blue—low expression, 32-fold below median; grey—no expression). ( b ) Single-cell analysis focused on high copy number, differentially distributed SM genes identified a cell subpopulation present across repeated k-means clusterings. ( c ) Linear discriminate analysis (LDA) identified SMs for prospective subpopulation isolation, with ROC analysis of cluster sensitivity and specificity utilizing the ‘best’ individual or groups of genes determined using forward feature selection. ( d ) Single-cell confirmation of prospective hASC subpopulation isolation via FACS using two LDA-defined SMs <t>(DPP4</t> and CD55). ( e ) Positive hASC subpopulation enrichment enhances gene expression distributions for multiple genes related to tissue regeneration (selected significantly affected genes displayed as determined via Kolmogorov–Smirnov testing). ( f ) Single-cell whisker plots and pooled cell RT-PCR demonstrating a confirmation of selected single-cell gene distribution findings on a population level. ( g ) Top scoring IPA-constructed transcriptome network based on the genes significantly increased following positive hASC selection. Significant ‘seed’ genes are coloured in red to distinguish them from the remaining ‘inferred’ entities in the network. *indicates P ≤0.05 for positive selection versus hASCs or negative selection, via one-way ANOVA. Error bars represent s.e.m.
Dpp4 Inhibitor B3941, supplied by ApexBio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dpp-4+inhibitors/dpp4+inhibitor+b3941/pm38179747-99-12-15
Average 90 stars, based on 1 article reviews
dpp4 inhibitor b3941 - by Bioz Stars, 2026-09
90/100 stars
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90
Verum Diagnostica GmbH dpp-4 inhibitors
( a ) Single-cell transcriptional screening of all known cell SMs to identify those with differential expression (most useful for cell subtyping). Gene expression presented as fold change from median (yellow—high expression, 32-fold above median to blue—low expression, 32-fold below median; grey—no expression). ( b ) Single-cell analysis focused on high copy number, differentially distributed SM genes identified a cell subpopulation present across repeated k-means clusterings. ( c ) Linear discriminate analysis (LDA) identified SMs for prospective subpopulation isolation, with ROC analysis of cluster sensitivity and specificity utilizing the ‘best’ individual or groups of genes determined using forward feature selection. ( d ) Single-cell confirmation of prospective hASC subpopulation isolation via FACS using two LDA-defined SMs <t>(DPP4</t> and CD55). ( e ) Positive hASC subpopulation enrichment enhances gene expression distributions for multiple genes related to tissue regeneration (selected significantly affected genes displayed as determined via Kolmogorov–Smirnov testing). ( f ) Single-cell whisker plots and pooled cell RT-PCR demonstrating a confirmation of selected single-cell gene distribution findings on a population level. ( g ) Top scoring IPA-constructed transcriptome network based on the genes significantly increased following positive hASC selection. Significant ‘seed’ genes are coloured in red to distinguish them from the remaining ‘inferred’ entities in the network. *indicates P ≤0.05 for positive selection versus hASCs or negative selection, via one-way ANOVA. Error bars represent s.e.m.
Dpp 4 Inhibitors, supplied by Verum Diagnostica GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dpp-4+inhibitors/dpp+4+inhibitors/pm37338539-76-6-10
Average 90 stars, based on 1 article reviews
dpp-4 inhibitors - by Bioz Stars, 2026-09
90/100 stars
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90
ApexBio dpp-4 inhibitor sitagliptin
( a ) Single-cell transcriptional screening of all known cell SMs to identify those with differential expression (most useful for cell subtyping). Gene expression presented as fold change from median (yellow—high expression, 32-fold above median to blue—low expression, 32-fold below median; grey—no expression). ( b ) Single-cell analysis focused on high copy number, differentially distributed SM genes identified a cell subpopulation present across repeated k-means clusterings. ( c ) Linear discriminate analysis (LDA) identified SMs for prospective subpopulation isolation, with ROC analysis of cluster sensitivity and specificity utilizing the ‘best’ individual or groups of genes determined using forward feature selection. ( d ) Single-cell confirmation of prospective hASC subpopulation isolation via FACS using two LDA-defined SMs <t>(DPP4</t> and CD55). ( e ) Positive hASC subpopulation enrichment enhances gene expression distributions for multiple genes related to tissue regeneration (selected significantly affected genes displayed as determined via Kolmogorov–Smirnov testing). ( f ) Single-cell whisker plots and pooled cell RT-PCR demonstrating a confirmation of selected single-cell gene distribution findings on a population level. ( g ) Top scoring IPA-constructed transcriptome network based on the genes significantly increased following positive hASC selection. Significant ‘seed’ genes are coloured in red to distinguish them from the remaining ‘inferred’ entities in the network. *indicates P ≤0.05 for positive selection versus hASCs or negative selection, via one-way ANOVA. Error bars represent s.e.m.
Dpp 4 Inhibitor Sitagliptin, supplied by ApexBio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dpp-4+inhibitors/dpp+4+inhibitor+sitagliptin/pm27465830-66-21-26
Average 90 stars, based on 1 article reviews
dpp-4 inhibitor sitagliptin - by Bioz Stars, 2026-09
90/100 stars
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90
LG Life dipeptidyl peptidase (dpp)-4 inhibitor gemiglo
( a ) Single-cell transcriptional screening of all known cell SMs to identify those with differential expression (most useful for cell subtyping). Gene expression presented as fold change from median (yellow—high expression, 32-fold above median to blue—low expression, 32-fold below median; grey—no expression). ( b ) Single-cell analysis focused on high copy number, differentially distributed SM genes identified a cell subpopulation present across repeated k-means clusterings. ( c ) Linear discriminate analysis (LDA) identified SMs for prospective subpopulation isolation, with ROC analysis of cluster sensitivity and specificity utilizing the ‘best’ individual or groups of genes determined using forward feature selection. ( d ) Single-cell confirmation of prospective hASC subpopulation isolation via FACS using two LDA-defined SMs <t>(DPP4</t> and CD55). ( e ) Positive hASC subpopulation enrichment enhances gene expression distributions for multiple genes related to tissue regeneration (selected significantly affected genes displayed as determined via Kolmogorov–Smirnov testing). ( f ) Single-cell whisker plots and pooled cell RT-PCR demonstrating a confirmation of selected single-cell gene distribution findings on a population level. ( g ) Top scoring IPA-constructed transcriptome network based on the genes significantly increased following positive hASC selection. Significant ‘seed’ genes are coloured in red to distinguish them from the remaining ‘inferred’ entities in the network. *indicates P ≤0.05 for positive selection versus hASCs or negative selection, via one-way ANOVA. Error bars represent s.e.m.
Dipeptidyl Peptidase (Dpp) 4 Inhibitor Gemiglo, supplied by LG Life, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dpp-4+inhibitors/dpp+4+inhibitor/10__1111_slash_1753___0407__12006-69-18-2
Average 90 stars, based on 1 article reviews
dipeptidyl peptidase (dpp)-4 inhibitor gemiglo - by Bioz Stars, 2026-09
90/100 stars
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90
FUJIFILM k597, a dpp-4 inhibitor
( a ) Single-cell transcriptional screening of all known cell SMs to identify those with differential expression (most useful for cell subtyping). Gene expression presented as fold change from median (yellow—high expression, 32-fold above median to blue—low expression, 32-fold below median; grey—no expression). ( b ) Single-cell analysis focused on high copy number, differentially distributed SM genes identified a cell subpopulation present across repeated k-means clusterings. ( c ) Linear discriminate analysis (LDA) identified SMs for prospective subpopulation isolation, with ROC analysis of cluster sensitivity and specificity utilizing the ‘best’ individual or groups of genes determined using forward feature selection. ( d ) Single-cell confirmation of prospective hASC subpopulation isolation via FACS using two LDA-defined SMs <t>(DPP4</t> and CD55). ( e ) Positive hASC subpopulation enrichment enhances gene expression distributions for multiple genes related to tissue regeneration (selected significantly affected genes displayed as determined via Kolmogorov–Smirnov testing). ( f ) Single-cell whisker plots and pooled cell RT-PCR demonstrating a confirmation of selected single-cell gene distribution findings on a population level. ( g ) Top scoring IPA-constructed transcriptome network based on the genes significantly increased following positive hASC selection. Significant ‘seed’ genes are coloured in red to distinguish them from the remaining ‘inferred’ entities in the network. *indicates P ≤0.05 for positive selection versus hASCs or negative selection, via one-way ANOVA. Error bars represent s.e.m.
K597, A Dpp 4 Inhibitor, supplied by FUJIFILM, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dpp-4+inhibitors/k597++a+dpp+4+inhibitor/pmc06344835-21-0-6
Average 90 stars, based on 1 article reviews
k597, a dpp-4 inhibitor - by Bioz Stars, 2026-09
90/100 stars
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90
Onduo LLC dpp-4 inhibitor sitagliptin
( a ) Single-cell transcriptional screening of all known cell SMs to identify those with differential expression (most useful for cell subtyping). Gene expression presented as fold change from median (yellow—high expression, 32-fold above median to blue—low expression, 32-fold below median; grey—no expression). ( b ) Single-cell analysis focused on high copy number, differentially distributed SM genes identified a cell subpopulation present across repeated k-means clusterings. ( c ) Linear discriminate analysis (LDA) identified SMs for prospective subpopulation isolation, with ROC analysis of cluster sensitivity and specificity utilizing the ‘best’ individual or groups of genes determined using forward feature selection. ( d ) Single-cell confirmation of prospective hASC subpopulation isolation via FACS using two LDA-defined SMs <t>(DPP4</t> and CD55). ( e ) Positive hASC subpopulation enrichment enhances gene expression distributions for multiple genes related to tissue regeneration (selected significantly affected genes displayed as determined via Kolmogorov–Smirnov testing). ( f ) Single-cell whisker plots and pooled cell RT-PCR demonstrating a confirmation of selected single-cell gene distribution findings on a population level. ( g ) Top scoring IPA-constructed transcriptome network based on the genes significantly increased following positive hASC selection. Significant ‘seed’ genes are coloured in red to distinguish them from the remaining ‘inferred’ entities in the network. *indicates P ≤0.05 for positive selection versus hASCs or negative selection, via one-way ANOVA. Error bars represent s.e.m.
Dpp 4 Inhibitor Sitagliptin, supplied by Onduo LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dpp-4+inhibitors/dpp+4+inhibitor+sitagliptin/pmc09019640-87-32-11
Average 90 stars, based on 1 article reviews
dpp-4 inhibitor sitagliptin - by Bioz Stars, 2026-09
90/100 stars
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90
Biozol Diagnostica Vertrieb GmbH dpp4 inhibitor k579
<t>DPP4</t> protein level and release during adipocyte differentiation and after stimulation with different regulatory factors. A: Human primary adipocytes were differentiated as described in , and DPP4 protein level during differentiation was analyzed by SDS-PAGE and Western blot. Adiponectin expression served as a control of differentiation. Data were normalized to the protein level of actin and are expressed relative to day 0. Data are mean values ± SEM, n ≥5, * P < 0.05 vs. preadipocytes. B: Detection of DPP4 at day 14 of differentiation using 1–5 μL of concentrated conditioned medium analyzed by SDS-PAGE and Western blot. Twenty-four–hour release of DPP4 by adipocytes determined at different time points of differentiation was analyzed by ELISA. Data are mean values ± SEM, n ≥5, * P < 0.05 vs. day 0. C: Differentiated adipocytes were treated with 5 μmol/L troglitazone, 10 ng TNF-α, 50 mmol/L insulin, 5 nmol/L adiponectin, or incubated under hypoxic conditions for 24 h. DPP4 release by differentiated adipocytes after indicated 24-h treatments as measured by ELISA. Data are mean values ± SEM, n ≥7, * P < 0.05 vs. control. D: DPP4 release by preadipocytes, differentiated adipocytes, and adipose tissue–derived and cultured human macrophages was analyzed by ELISA. Data are mean values ± SEM, n ≥3; 10 μg total lysates derived from adipocytes and macrophages were analyzed by SDS-PAGE and Western blot, and signals were detected by enhanced chemiluminescence. A, adiponectin; Ad, adipocyte; CM, conditioned medium; H, hypoxic; I, insulin; MØ, macrophage; Pre, preadipocyte; Tro, troglitazone.
Dpp4 Inhibitor K579, supplied by Biozol Diagnostica Vertrieb GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dpp-4+inhibitors/dpp4+inhibitor+k579/pmc03121429-23-2-8
Average 90 stars, based on 1 article reviews
dpp4 inhibitor k579 - by Bioz Stars, 2026-09
90/100 stars
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90
LINCO dpp-4 inhibitor valine pyrrolidide
<t>DPP4</t> protein level and release during adipocyte differentiation and after stimulation with different regulatory factors. A: Human primary adipocytes were differentiated as described in , and DPP4 protein level during differentiation was analyzed by SDS-PAGE and Western blot. Adiponectin expression served as a control of differentiation. Data were normalized to the protein level of actin and are expressed relative to day 0. Data are mean values ± SEM, n ≥5, * P < 0.05 vs. preadipocytes. B: Detection of DPP4 at day 14 of differentiation using 1–5 μL of concentrated conditioned medium analyzed by SDS-PAGE and Western blot. Twenty-four–hour release of DPP4 by adipocytes determined at different time points of differentiation was analyzed by ELISA. Data are mean values ± SEM, n ≥5, * P < 0.05 vs. day 0. C: Differentiated adipocytes were treated with 5 μmol/L troglitazone, 10 ng TNF-α, 50 mmol/L insulin, 5 nmol/L adiponectin, or incubated under hypoxic conditions for 24 h. DPP4 release by differentiated adipocytes after indicated 24-h treatments as measured by ELISA. Data are mean values ± SEM, n ≥7, * P < 0.05 vs. control. D: DPP4 release by preadipocytes, differentiated adipocytes, and adipose tissue–derived and cultured human macrophages was analyzed by ELISA. Data are mean values ± SEM, n ≥3; 10 μg total lysates derived from adipocytes and macrophages were analyzed by SDS-PAGE and Western blot, and signals were detected by enhanced chemiluminescence. A, adiponectin; Ad, adipocyte; CM, conditioned medium; H, hypoxic; I, insulin; MØ, macrophage; Pre, preadipocyte; Tro, troglitazone.
Dpp 4 Inhibitor Valine Pyrrolidide, supplied by LINCO, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dpp-4+inhibitors/dpp+4+inhibitor+valine+pyrrolidide/pmc04011329-64-30-34
Average 90 stars, based on 1 article reviews
dpp-4 inhibitor valine pyrrolidide - by Bioz Stars, 2026-09
90/100 stars
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Image Search Results


Model parameters

Journal: Pharmacoeconomics

Article Title: A Systematic Review of Cost-Effectiveness Studies of Newer Non-Insulin Antidiabetic Drugs: Trends in Decision-Analytical Models for Modelling of Type 2 Diabetes Mellitus

doi: 10.1007/s40273-023-01268-5

Figure Lengend Snippet: Model parameters

Article Snippet: Van der Linden, 2020 [ ] , Netherlands , Dapagliflozin ?? mg 1d vs. DPP4 (represented by sitagliptin mainly) , AstraZeneca , Societal , 40 , Fixed-time increment stochastic simulation model , Cardiff , None stated , Triple therapy or above , MET+SU.

Techniques: Comparison, Injection, Filtration, Infection, Cell Counting

Cost-effectiveness and uncertainty results

Journal: Pharmacoeconomics

Article Title: A Systematic Review of Cost-Effectiveness Studies of Newer Non-Insulin Antidiabetic Drugs: Trends in Decision-Analytical Models for Modelling of Type 2 Diabetes Mellitus

doi: 10.1007/s40273-023-01268-5

Figure Lengend Snippet: Cost-effectiveness and uncertainty results

Article Snippet: Van der Linden, 2020 [ ] , Netherlands , Dapagliflozin ?? mg 1d vs. DPP4 (represented by sitagliptin mainly) , AstraZeneca , Societal , 40 , Fixed-time increment stochastic simulation model , Cardiff , None stated , Triple therapy or above , MET+SU.

Techniques: Comparison

General characteristics of the studies

Journal: Pharmacoeconomics

Article Title: A Systematic Review of Cost-Effectiveness Studies of Newer Non-Insulin Antidiabetic Drugs: Trends in Decision-Analytical Models for Modelling of Type 2 Diabetes Mellitus

doi: 10.1007/s40273-023-01268-5

Figure Lengend Snippet: General characteristics of the studies

Article Snippet: Van der Linden, 2020 [ ] , Netherlands , Dapagliflozin ?? mg 1d vs. DPP4 (represented by sitagliptin mainly) , AstraZeneca , Societal , 40 , Fixed-time increment stochastic simulation model , Cardiff , None stated , Triple therapy or above , MET+SU.

Techniques: Comparison

Linagliptin (LGT) has neutral effects on body weight and aortic advanced glycation end-products (AGE). a WD feeding for 4 months resulted in significant weight gain in both the cohorts. b Plasma DPP-4 activity was significantly decreased with LGT treatment. c AGE immunostaining in aorta was significantly increased in WDC. LGT treatment did not decrease it significantly. Quantification and representative images shown. Values are mean ± SE. CDC control diet control, CDL control diet linagliptin, WDC western diet control, WDL western diet linagliptin. Post-hoc comparisons within a time point; *p < 0.05 CDC vs WDC; # p < 0.05 CDC vs CDL; † p < 0.05 WDC vs WDL. Scale bars represent 50 mμ

Journal: Cardiovascular Diabetology

Article Title: Dipeptidyl peptidase-4 inhibition with linagliptin prevents western diet-induced vascular abnormalities in female mice

doi: 10.1186/s12933-016-0414-5

Figure Lengend Snippet: Linagliptin (LGT) has neutral effects on body weight and aortic advanced glycation end-products (AGE). a WD feeding for 4 months resulted in significant weight gain in both the cohorts. b Plasma DPP-4 activity was significantly decreased with LGT treatment. c AGE immunostaining in aorta was significantly increased in WDC. LGT treatment did not decrease it significantly. Quantification and representative images shown. Values are mean ± SE. CDC control diet control, CDL control diet linagliptin, WDC western diet control, WDL western diet linagliptin. Post-hoc comparisons within a time point; *p < 0.05 CDC vs WDC; # p < 0.05 CDC vs CDL; † p < 0.05 WDC vs WDL. Scale bars represent 50 mμ

Article Snippet: 20 μL plasma was diluted in DPP-4 assay buffer and substrate, 200 M H-Ala-Pro-AFC (I-1680; Bachem), was added.

Techniques: Activity Assay, Immunostaining, Western Blot

WD feeding causes a , b peri-aortic fibrosis and ( c , d ) medial thickening which is ameliorated by the DPP-4 inhibitor, LGT. a Picro sirius red and b Verhoeff-von Gieson staining. Values are mean ± SE. CDC control diet control, CDL control diet linagliptin, WDC western diet control and WDL western diet linagliptin. Post-hoc comparisons within a time point; *p < 0.05 CDC vs WDC; † p < 0.05 WDC vs WDL

Journal: Cardiovascular Diabetology

Article Title: Dipeptidyl peptidase-4 inhibition with linagliptin prevents western diet-induced vascular abnormalities in female mice

doi: 10.1186/s12933-016-0414-5

Figure Lengend Snippet: WD feeding causes a , b peri-aortic fibrosis and ( c , d ) medial thickening which is ameliorated by the DPP-4 inhibitor, LGT. a Picro sirius red and b Verhoeff-von Gieson staining. Values are mean ± SE. CDC control diet control, CDL control diet linagliptin, WDC western diet control and WDL western diet linagliptin. Post-hoc comparisons within a time point; *p < 0.05 CDC vs WDC; † p < 0.05 WDC vs WDL

Article Snippet: 20 μL plasma was diluted in DPP-4 assay buffer and substrate, 200 M H-Ala-Pro-AFC (I-1680; Bachem), was added.

Techniques: Staining, Western Blot

WD feeding induced aortic oxidative stress is ameliorated with DPP-4 inhibition. a 3-nitrotyrosine staining; b EC 3-nitrotyrosine; c VSMC 3-nitrotyrosine. Values are mean ± SE. CDC control diet control, CDL control diet linagliptin, WDC western diet control and WDL western diet linagliptin. Post-hoc comparisons within a time point; *p < 0 0.05 CDC vs WDC; † p < 0.05 WDC vs WDL

Journal: Cardiovascular Diabetology

Article Title: Dipeptidyl peptidase-4 inhibition with linagliptin prevents western diet-induced vascular abnormalities in female mice

doi: 10.1186/s12933-016-0414-5

Figure Lengend Snippet: WD feeding induced aortic oxidative stress is ameliorated with DPP-4 inhibition. a 3-nitrotyrosine staining; b EC 3-nitrotyrosine; c VSMC 3-nitrotyrosine. Values are mean ± SE. CDC control diet control, CDL control diet linagliptin, WDC western diet control and WDL western diet linagliptin. Post-hoc comparisons within a time point; *p < 0 0.05 CDC vs WDC; † p < 0.05 WDC vs WDL

Article Snippet: 20 μL plasma was diluted in DPP-4 assay buffer and substrate, 200 M H-Ala-Pro-AFC (I-1680; Bachem), was added.

Techniques: Inhibition, Staining, Western Blot

WD feeding induced changes in FGF-23 and Klotho expression are restored by DPP-4 inhibition. a FGF-23 staining; b Endothelial FGF-23; c Adventitia FGF-23; d Endothelial klotho staining; e Endothelial klotho staining f Adventitia klotho staining; Average gray intensities in the different cohorts. Values are mean ± SE. CDC control diet control, CDL control diet linagliptin, WDC western diet control and WDL western diet linagliptin. Post-hoc comparisons within a time point; *p < 0 0.05 CDC vs WDC; † p < 0.05 WDC vs WDL; # p < 0.05 CDC vs CDL. Scale bars represent 50 mμ

Journal: Cardiovascular Diabetology

Article Title: Dipeptidyl peptidase-4 inhibition with linagliptin prevents western diet-induced vascular abnormalities in female mice

doi: 10.1186/s12933-016-0414-5

Figure Lengend Snippet: WD feeding induced changes in FGF-23 and Klotho expression are restored by DPP-4 inhibition. a FGF-23 staining; b Endothelial FGF-23; c Adventitia FGF-23; d Endothelial klotho staining; e Endothelial klotho staining f Adventitia klotho staining; Average gray intensities in the different cohorts. Values are mean ± SE. CDC control diet control, CDL control diet linagliptin, WDC western diet control and WDL western diet linagliptin. Post-hoc comparisons within a time point; *p < 0 0.05 CDC vs WDC; † p < 0.05 WDC vs WDL; # p < 0.05 CDC vs CDL. Scale bars represent 50 mμ

Article Snippet: 20 μL plasma was diluted in DPP-4 assay buffer and substrate, 200 M H-Ala-Pro-AFC (I-1680; Bachem), was added.

Techniques: Expressing, Inhibition, Staining, Western Blot

( a ) Single-cell transcriptional screening of all known cell SMs to identify those with differential expression (most useful for cell subtyping). Gene expression presented as fold change from median (yellow—high expression, 32-fold above median to blue—low expression, 32-fold below median; grey—no expression). ( b ) Single-cell analysis focused on high copy number, differentially distributed SM genes identified a cell subpopulation present across repeated k-means clusterings. ( c ) Linear discriminate analysis (LDA) identified SMs for prospective subpopulation isolation, with ROC analysis of cluster sensitivity and specificity utilizing the ‘best’ individual or groups of genes determined using forward feature selection. ( d ) Single-cell confirmation of prospective hASC subpopulation isolation via FACS using two LDA-defined SMs (DPP4 and CD55). ( e ) Positive hASC subpopulation enrichment enhances gene expression distributions for multiple genes related to tissue regeneration (selected significantly affected genes displayed as determined via Kolmogorov–Smirnov testing). ( f ) Single-cell whisker plots and pooled cell RT-PCR demonstrating a confirmation of selected single-cell gene distribution findings on a population level. ( g ) Top scoring IPA-constructed transcriptome network based on the genes significantly increased following positive hASC selection. Significant ‘seed’ genes are coloured in red to distinguish them from the remaining ‘inferred’ entities in the network. *indicates P ≤0.05 for positive selection versus hASCs or negative selection, via one-way ANOVA. Error bars represent s.e.m.

Journal: Nature Communications

Article Title: Microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies

doi: 10.1038/ncomms11945

Figure Lengend Snippet: ( a ) Single-cell transcriptional screening of all known cell SMs to identify those with differential expression (most useful for cell subtyping). Gene expression presented as fold change from median (yellow—high expression, 32-fold above median to blue—low expression, 32-fold below median; grey—no expression). ( b ) Single-cell analysis focused on high copy number, differentially distributed SM genes identified a cell subpopulation present across repeated k-means clusterings. ( c ) Linear discriminate analysis (LDA) identified SMs for prospective subpopulation isolation, with ROC analysis of cluster sensitivity and specificity utilizing the ‘best’ individual or groups of genes determined using forward feature selection. ( d ) Single-cell confirmation of prospective hASC subpopulation isolation via FACS using two LDA-defined SMs (DPP4 and CD55). ( e ) Positive hASC subpopulation enrichment enhances gene expression distributions for multiple genes related to tissue regeneration (selected significantly affected genes displayed as determined via Kolmogorov–Smirnov testing). ( f ) Single-cell whisker plots and pooled cell RT-PCR demonstrating a confirmation of selected single-cell gene distribution findings on a population level. ( g ) Top scoring IPA-constructed transcriptome network based on the genes significantly increased following positive hASC selection. Significant ‘seed’ genes are coloured in red to distinguish them from the remaining ‘inferred’ entities in the network. *indicates P ≤0.05 for positive selection versus hASCs or negative selection, via one-way ANOVA. Error bars represent s.e.m.

Article Snippet: Cells were isolated as described above, and incubated for 20 min in FACS buffer (phosphate-buffered saline (PBS) supplemented with 2% FBS) containing one of the following antibody combinations: (1) anti-human ef-450-conjugated CD45 (eBioscience, San Diego, CA), APC- or PE-conjugated CD34 (BD Biosciences), FITC-conjugated CD31 (BD Biosciences), PE- or APC-conjugated DPP4 (BD Biosciences) and PE-Cy7-conjugated CD55 (Biolegend, San Diego, CA); (2) anti-mouse ef-450-conjugated CD45 (eBioscience), APC-conjugated CD34 (Biolegend), PE-Cy7-conjugated CD31 (BD Biosciences), FITC-conjugated DPP4 (BD Biosciences) and PE-conjugated CD55 (Biolegend); or (3) anti-mouse PE-Cy7-conjugated CD45 (Biolegend), APC-conjugated CD34 (Biolegend), ef-450-conjugated CD31 (eBioscience), APC-Cy7-conjugated DPP4 (Abcore, Ramona, CA) and PE-conjugated CD55 (Biolegend).

Techniques: Expressing, Single-cell Analysis, Isolation, Selection, Whisker Assay, Reverse Transcription Polymerase Chain Reaction, Construct

( a , b ) Enrichment for the transcriptionally identified hASC subpopulation enhances cell survival following exposure to an in vitro apoptotic stimulus (Fas ligand; measuring caspase activation (red)), ( c , d ) increases cell proliferation and clonogenecity and ( e ) prolongs stemness marker (CD34) expression. ( f , g ) The transcriptionally identified ASC subpopulation is significantly depleted and possesses deregulation of critical signalling pathways visible on single-cell analysis in the setting of both diabetes and aging. Gene expression presented as fold change from median (yellow—high expression, 32-fold above median to blue—low expression, 32-fold below median; grey—no expression). ( h ) Principal component projections of individual cells (left) and genes (right) demonstrating considerable segregation among phenotypes, driven largely by vascular/tissue remodelling genes. ( i ) Single-cell transcriptional analysis of healthy, aged and diabetic mASCs reveals that the depletion/dysfunction of cluster 1 cells in these states is not a the result of cell SM loss and redistribution to other clusters (expression profiles of subpopulation-defining SMs and tissue remodelling genes highlighted). ( j ) Flow cytometric analysis demonstrating dynamic DPP4/CD55 subpopulation increases in wild-type wounds, supporting their role in the wound healing process. The DPP4/CD55 subpopulation was also elevated in diabetic and aged wounds as compared with uninjured skin, with a trend toward compensatory overrecruitment consistent with an impaired cellular functionality. *indicates P ≤0.05 via one-way ANOVA or Student’s t -test (healthy versus aged or diabetic in f ; day 7 versus respective controls in j ). ∧ indicates P ≤0.05 for positive versus negative selection via Student’s t -test. Error bars represent s.e.m. Scale bar, 50 μm.

Journal: Nature Communications

Article Title: Microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies

doi: 10.1038/ncomms11945

Figure Lengend Snippet: ( a , b ) Enrichment for the transcriptionally identified hASC subpopulation enhances cell survival following exposure to an in vitro apoptotic stimulus (Fas ligand; measuring caspase activation (red)), ( c , d ) increases cell proliferation and clonogenecity and ( e ) prolongs stemness marker (CD34) expression. ( f , g ) The transcriptionally identified ASC subpopulation is significantly depleted and possesses deregulation of critical signalling pathways visible on single-cell analysis in the setting of both diabetes and aging. Gene expression presented as fold change from median (yellow—high expression, 32-fold above median to blue—low expression, 32-fold below median; grey—no expression). ( h ) Principal component projections of individual cells (left) and genes (right) demonstrating considerable segregation among phenotypes, driven largely by vascular/tissue remodelling genes. ( i ) Single-cell transcriptional analysis of healthy, aged and diabetic mASCs reveals that the depletion/dysfunction of cluster 1 cells in these states is not a the result of cell SM loss and redistribution to other clusters (expression profiles of subpopulation-defining SMs and tissue remodelling genes highlighted). ( j ) Flow cytometric analysis demonstrating dynamic DPP4/CD55 subpopulation increases in wild-type wounds, supporting their role in the wound healing process. The DPP4/CD55 subpopulation was also elevated in diabetic and aged wounds as compared with uninjured skin, with a trend toward compensatory overrecruitment consistent with an impaired cellular functionality. *indicates P ≤0.05 via one-way ANOVA or Student’s t -test (healthy versus aged or diabetic in f ; day 7 versus respective controls in j ). ∧ indicates P ≤0.05 for positive versus negative selection via Student’s t -test. Error bars represent s.e.m. Scale bar, 50 μm.

Article Snippet: Cells were isolated as described above, and incubated for 20 min in FACS buffer (phosphate-buffered saline (PBS) supplemented with 2% FBS) containing one of the following antibody combinations: (1) anti-human ef-450-conjugated CD45 (eBioscience, San Diego, CA), APC- or PE-conjugated CD34 (BD Biosciences), FITC-conjugated CD31 (BD Biosciences), PE- or APC-conjugated DPP4 (BD Biosciences) and PE-Cy7-conjugated CD55 (Biolegend, San Diego, CA); (2) anti-mouse ef-450-conjugated CD45 (eBioscience), APC-conjugated CD34 (Biolegend), PE-Cy7-conjugated CD31 (BD Biosciences), FITC-conjugated DPP4 (BD Biosciences) and PE-conjugated CD55 (Biolegend); or (3) anti-mouse PE-Cy7-conjugated CD45 (Biolegend), APC-conjugated CD34 (Biolegend), ef-450-conjugated CD31 (eBioscience), APC-Cy7-conjugated DPP4 (Abcore, Ramona, CA) and PE-conjugated CD55 (Biolegend).

Techniques: In Vitro, Activation Assay, Marker, Expressing, Single-cell Analysis, Selection

DPP4 protein level and release during adipocyte differentiation and after stimulation with different regulatory factors. A: Human primary adipocytes were differentiated as described in , and DPP4 protein level during differentiation was analyzed by SDS-PAGE and Western blot. Adiponectin expression served as a control of differentiation. Data were normalized to the protein level of actin and are expressed relative to day 0. Data are mean values ± SEM, n ≥5, * P < 0.05 vs. preadipocytes. B: Detection of DPP4 at day 14 of differentiation using 1–5 μL of concentrated conditioned medium analyzed by SDS-PAGE and Western blot. Twenty-four–hour release of DPP4 by adipocytes determined at different time points of differentiation was analyzed by ELISA. Data are mean values ± SEM, n ≥5, * P < 0.05 vs. day 0. C: Differentiated adipocytes were treated with 5 μmol/L troglitazone, 10 ng TNF-α, 50 mmol/L insulin, 5 nmol/L adiponectin, or incubated under hypoxic conditions for 24 h. DPP4 release by differentiated adipocytes after indicated 24-h treatments as measured by ELISA. Data are mean values ± SEM, n ≥7, * P < 0.05 vs. control. D: DPP4 release by preadipocytes, differentiated adipocytes, and adipose tissue–derived and cultured human macrophages was analyzed by ELISA. Data are mean values ± SEM, n ≥3; 10 μg total lysates derived from adipocytes and macrophages were analyzed by SDS-PAGE and Western blot, and signals were detected by enhanced chemiluminescence. A, adiponectin; Ad, adipocyte; CM, conditioned medium; H, hypoxic; I, insulin; MØ, macrophage; Pre, preadipocyte; Tro, troglitazone.

Journal: Diabetes

Article Title: Dipeptidyl Peptidase 4 Is a Novel Adipokine Potentially Linking Obesity to the Metabolic Syndrome

doi: 10.2337/db10-1707

Figure Lengend Snippet: DPP4 protein level and release during adipocyte differentiation and after stimulation with different regulatory factors. A: Human primary adipocytes were differentiated as described in , and DPP4 protein level during differentiation was analyzed by SDS-PAGE and Western blot. Adiponectin expression served as a control of differentiation. Data were normalized to the protein level of actin and are expressed relative to day 0. Data are mean values ± SEM, n ≥5, * P < 0.05 vs. preadipocytes. B: Detection of DPP4 at day 14 of differentiation using 1–5 μL of concentrated conditioned medium analyzed by SDS-PAGE and Western blot. Twenty-four–hour release of DPP4 by adipocytes determined at different time points of differentiation was analyzed by ELISA. Data are mean values ± SEM, n ≥5, * P < 0.05 vs. day 0. C: Differentiated adipocytes were treated with 5 μmol/L troglitazone, 10 ng TNF-α, 50 mmol/L insulin, 5 nmol/L adiponectin, or incubated under hypoxic conditions for 24 h. DPP4 release by differentiated adipocytes after indicated 24-h treatments as measured by ELISA. Data are mean values ± SEM, n ≥7, * P < 0.05 vs. control. D: DPP4 release by preadipocytes, differentiated adipocytes, and adipose tissue–derived and cultured human macrophages was analyzed by ELISA. Data are mean values ± SEM, n ≥3; 10 μg total lysates derived from adipocytes and macrophages were analyzed by SDS-PAGE and Western blot, and signals were detected by enhanced chemiluminescence. A, adiponectin; Ad, adipocyte; CM, conditioned medium; H, hypoxic; I, insulin; MØ, macrophage; Pre, preadipocyte; Tro, troglitazone.

Article Snippet: The specific DPP4 inhibitor K579 was purchased from Biozol (Eching, Germany).

Techniques: SDS Page, Western Blot, Expressing, Control, Enzyme-linked Immunosorbent Assay, Incubation, Derivative Assay, Cell Culture

DPP4 in serum and release from adipose tissue explants in relation to a risk score for the metabolic syndrome. A risk score for the metabolic syndrome was calculated for all obese subjects in whom serum and adipose tissue explants were analyzed. Patients with a risk score of ≥3 were qualified as “with metabolic syndrome (MS).” Patients with a score of ≤2 were qualified as “without MS.” Data were analyzed using a t test. Data are mean values ± SEM. * P < 0.05, ** P < 0.01.

Journal: Diabetes

Article Title: Dipeptidyl Peptidase 4 Is a Novel Adipokine Potentially Linking Obesity to the Metabolic Syndrome

doi: 10.2337/db10-1707

Figure Lengend Snippet: DPP4 in serum and release from adipose tissue explants in relation to a risk score for the metabolic syndrome. A risk score for the metabolic syndrome was calculated for all obese subjects in whom serum and adipose tissue explants were analyzed. Patients with a risk score of ≥3 were qualified as “with metabolic syndrome (MS).” Patients with a score of ≤2 were qualified as “without MS.” Data were analyzed using a t test. Data are mean values ± SEM. * P < 0.05, ** P < 0.01.

Article Snippet: The specific DPP4 inhibitor K579 was purchased from Biozol (Eching, Germany).

Techniques:

Effect of DPP4 on insulin-stimulated Akt phosphorylation in adipocytes and skeletal muscle cells. Differentiated human adipocytes ( A and B ) and skeletal muscle cells ( C and D ) were treated with the indicated amounts of DPP4 without and with concomitant administration of a specific DPP4 inhibitor for 24 h. After stimulation with insulin (100 nmol/L, 10 min), the cells were lysed and 5–10 μg of total lysates were resolved by SDS-PAGE and blotted to polyvinylidene fluoride membranes. Membranes were blocked with 5% milk in TBS containing 0.1% Tween 20 and incubated overnight with p -Akt antibody. After incubation with the appropriate HRP-coupled secondary antibody, the signal was detected by enhanced chemiluminescence. Signals were analyzed on a LUMI Imager Work Station (Boehringer). Data are actin normalized mean values ± SEM ( n = 3–8). Representative Western blots are presented. For A , lanes were excised from a single Western blot and displayed in the presented order. Basal ( white bars ); insulin-stimulated ( black bars ). *Significantly different from insulin-stimulated control or indicated situation. ns, not significant.

Journal: Diabetes

Article Title: Dipeptidyl Peptidase 4 Is a Novel Adipokine Potentially Linking Obesity to the Metabolic Syndrome

doi: 10.2337/db10-1707

Figure Lengend Snippet: Effect of DPP4 on insulin-stimulated Akt phosphorylation in adipocytes and skeletal muscle cells. Differentiated human adipocytes ( A and B ) and skeletal muscle cells ( C and D ) were treated with the indicated amounts of DPP4 without and with concomitant administration of a specific DPP4 inhibitor for 24 h. After stimulation with insulin (100 nmol/L, 10 min), the cells were lysed and 5–10 μg of total lysates were resolved by SDS-PAGE and blotted to polyvinylidene fluoride membranes. Membranes were blocked with 5% milk in TBS containing 0.1% Tween 20 and incubated overnight with p -Akt antibody. After incubation with the appropriate HRP-coupled secondary antibody, the signal was detected by enhanced chemiluminescence. Signals were analyzed on a LUMI Imager Work Station (Boehringer). Data are actin normalized mean values ± SEM ( n = 3–8). Representative Western blots are presented. For A , lanes were excised from a single Western blot and displayed in the presented order. Basal ( white bars ); insulin-stimulated ( black bars ). *Significantly different from insulin-stimulated control or indicated situation. ns, not significant.

Article Snippet: The specific DPP4 inhibitor K579 was purchased from Biozol (Eching, Germany).

Techniques: Phospho-proteomics, SDS Page, Incubation, Western Blot, Control