Circular plot of the forward (ForMR) and reverse (RevMR) MR analyses with inverse variance weighted (IVW) estimates from the 1^st metabolite set (absolute metabolite valu... by Ozvan Bocher (13813416)

“…<p>Metabolites having increased levels associated with T2D occurrence are presented in red and the ones with decreased levels in blue. …”

Descriptive statistics of the sample. by Alex Bawuah (21702688)

“…The lack of birthweight data is a significant challenge in monitoring the global prevalence of extreme birthweight, either low or high, and newborn health. …”

Sample size characteristics. by Alex Bawuah (21702688)

“…The lack of birthweight data is a significant challenge in monitoring the global prevalence of extreme birthweight, either low or high, and newborn health. …”

Data used for the Study. by Alex Bawuah (21702688)

“…The lack of birthweight data is a significant challenge in monitoring the global prevalence of extreme birthweight, either low or high, and newborn health. …”

Bone loss in the mouse femoral head is associated with weightlessness in microgravity. by Rukmani Cahill (20939813)

Comparison of percent off-target reads with varying protocol modifications. by Amy Longtin (21409957)

Proteome and Metabolome Profiling of Anticoagulant Disorders Induced by Familial Protein S Deficiency by Caiping Zhang (6745976)

“…Furthermore, 9 differential proteins correlated significantly with protein S, comprising A2M, AGT, APOE, FGG, GPLD1, IGHV1–69, CFHR5, CPN2, and CA1. …”

Proteome and Metabolome Profiling of Anticoagulant Disorders Induced by Familial Protein S Deficiency by Caiping Zhang (6745976)

“…Furthermore, 9 differential proteins correlated significantly with protein S, comprising A2M, AGT, APOE, FGG, GPLD1, IGHV1–69, CFHR5, CPN2, and CA1. …”

Proteome and Metabolome Profiling of Anticoagulant Disorders Induced by Familial Protein S Deficiency by Caiping Zhang (6745976)

“…Furthermore, 9 differential proteins correlated significantly with protein S, comprising A2M, AGT, APOE, FGG, GPLD1, IGHV1–69, CFHR5, CPN2, and CA1. …”

Proteome and Metabolome Profiling of Anticoagulant Disorders Induced by Familial Protein S Deficiency by Caiping Zhang (6745976)

“…Furthermore, 9 differential proteins correlated significantly with protein S, comprising A2M, AGT, APOE, FGG, GPLD1, IGHV1–69, CFHR5, CPN2, and CA1. …”

Proteome and Metabolome Profiling of Anticoagulant Disorders Induced by Familial Protein S Deficiency by Caiping Zhang (6745976)

“…Furthermore, 9 differential proteins correlated significantly with protein S, comprising A2M, AGT, APOE, FGG, GPLD1, IGHV1–69, CFHR5, CPN2, and CA1. …”

Proteome and Metabolome Profiling of Anticoagulant Disorders Induced by Familial Protein S Deficiency by Caiping Zhang (6745976)

“…Furthermore, 9 differential proteins correlated significantly with protein S, comprising A2M, AGT, APOE, FGG, GPLD1, IGHV1–69, CFHR5, CPN2, and CA1. …”

Proteome and Metabolome Profiling of Anticoagulant Disorders Induced by Familial Protein S Deficiency by Caiping Zhang (6745976)

“…Furthermore, 9 differential proteins correlated significantly with protein S, comprising A2M, AGT, APOE, FGG, GPLD1, IGHV1–69, CFHR5, CPN2, and CA1. …”

Profile of study locations and participants. by Hammed O. Mogaji (9421930)

“…In Ese-Odo, the prevalence decreased to 25.8% (95% CI: 23.0–29.0) from 39% at baseline (<i>d</i> = −34%, <i>p</i> = 0.00). …”

Schematic model depicting the relationship between lipids and proteins by target gene knockdown. by Takuya Kitamoto (11721639)

“…Non-significant but decreasing trends are marked with small light blue arrows pointing downwards. …”

GNB1 and SCARB2 involvement in lipid metabolism of human subcutaneous adipocytes. by Takuya Kitamoto (11721639)

“…In the schematic diagram, significant increases are indicated by red arrows pointing upwards, while significant decreases are shown by blue arrows pointing downwards. …”

Long-term changes in ABG parameters retrospectively tracked from the initiation of LTOT in the CRF group. by Kazuma Nagata (3400058)

The incidence of grooming is most influenced by the addition of an opaque divider, as compared to manipulanda. by Matthew D. Boulanger (22600966)

<i>DRB1*15</i>:<i>01-DQB1*06</i>:<i>02</i> associated protection as a function of iKIR score. by Laura Mora-Bitria (20477525)

Flow chart of household head recruitment. by Suvasish Das Shuvo (11204728)

“…Socioeconomic factors including gender, level of education, occupation, household monthly income, and family size of the household head were significantly associated with dietary diversity. Additionally, income condition (RRR:5.46, 95% CI:2.73–7.47 and RRR:4.85, 95% CI:2.48–7.24), and dietary diversity knowledge of the household head (RRR:5.46, 95% CI:2.73–7.47, and RRR:4.85, 95% CI:2.48–7.24) were significantly associated with low and moderate HDDS during the COVID-19 pandemic.…”