Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

Q: Context: Two years ago the authors began to use Swan-Ganz catheters to generate more complex hemodynamic data as a better guide to resuscitation of burns. This study uses the information to identify differences between survivors and nonsurvivors.', 'Fifty-three consecutive patients with major burns were treated using Swan-Ganz-generated data. Additional information was collected, including demographics, intake and output, medications, and arterial blood gas (including calculated oxygen consumption). Statistical analysis incorporated adjustments for autocorrelation.', 'The patients included 38 men and 15 women, averaged 43.7 years of age, and had a mean burn size of 40%. Thirteen patients suffered severe inhalation injury. Data collected hourly over 3 days were collapsed across 6-hour observation periods. Mean values, when plotted across time, discriminated the 37 survivors from the 16 nonsurvivors. Poor response to resuscitation as evidenced by increased use of colloid fluid and cardiotonic drugs plus failure to maximize oxygen consumption were associated with nonsurvival.
Answer: Unsustained or inadequate response to hyperdynamic resuscitation of burns was associated with nonsurvival.

A: Do survival in major burn injuries is predicted by early response to Swan-Ganz-guided resuscitation?
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Q: Context: To investigate serum beta2-glycoprotein I-low-density lipoprotein (β2-GPI-LDL) and oxidized low-density lipoprotein (ox-LDL) levels in type 2 diabetes mellitus (T2DM) patients, and to further evaluate the associations of β2-GPI-LDL with ox-LDL in vivo and with the presence of diabetic microvascular complications.', 'We determined β2-GPI-LDL, ox-LDL and small dense low density lipoprotein cholesterol (sdLDL-C) levels in 236 T2DM patients with or without microvascular complications and 75 controls. The correlation analyses, multiple linear regression analyses and logistic regression analyses were performed, respectively.', 'Compared with controls, β2-GPI-LDL and ox-LDL levels were significantly elevated in both groups of T2DM patients and those with microvascular complications exhibited the more significant increase than those without complications. Serum β2-GPI-LDL levels were positively correlated with ox-LDL as well as sdLDL-C levels in T2DM patients. Multiple linear regression analyses showed that ox-LDL was one of the independent determinants of β2-GPI-LDL levels. Logistic regression analyses indicated that elevated β2-GPI-LDL and ox-LDL levels had significant predictive values for diabetic microvascular complications.
Answer: Elevated serum β2-GPI-LDL levels may be a serological hallmark of enhanced LDL oxidation in vivo and closely associated with the presence of diabetic microvascular complications.

A: Are elevated beta2-glycoprotein I-low-density lipoprotein levels associated with the presence of diabetic microvascular complications?
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Q: Context: Zinc-alpha2-glycoprotein (ZAG) is a novel adipokine, which may act locally to influence adipocyte metabolism. This study assessed the effect of increased adiposity on ZAG expression in adipose tissue in human subjects. The study also examined the association between ZAG and adiponectin expression in human adipose tissue, and whether ZAG modulates adiponectin secretion by human adipocytes.', 'Adipose tissue (visceral and subcutaneous) was collected from human subjects with a wide range of BMIs. Human Simpson-Golabi-Behmel syndrome (SGBS) adipocytes were used for in vitro studies. ZAG mRNA levels were quantified by real-time PCR and protein by Western blotting.', 'In human subjects, ZAG mRNA level was negatively correlated with BMI (r = -0.61, P < 0.001, n = 23, visceral; r = -0.6, P < 0.05, n = 14, subcutaneous) and fat mass (r = -0.62, P < 0.01, visceral; r = -0.6, P < 0.05, subcutaneous). Negative associations were also found between ZAG mRNA and insulin resistance parameters including plasma insulin (r = -0.65, P < 0.001, visceral; r = -0.55, P < 0.05, subcutaneous) and homeostasis model of insulin resistance (HOMA-IR) (r = -0.65, P < 0.001, visceral; r = -0.52, P = 0.055, subcutaneous), and C reactive protein (CRP) (r = -0.46, P < 0.05, visceral; r = -0.53, P < 0.05, subcutaneous). However, ZAG mRNA was positively correlated with adiponectin (r = 0.5, P < 0.05, visceral; r = 0.82, P < 0.001, subcutaneous) but negatively associated with leptin mRNA (r = -0.42, P < 0.05, visceral; r = -0.54, P < 0.05, subcutaneous). ZAG secretion by differentiated human adipocytes was abundant. Addition of recombinant ZAG stimulated adiponectin release from human adipocytes.
Answer: ZAG gene expression in adipose tissue is downregulated with increased adiposity and circulating insulin. ZAG mRNA is positively correlated with adiponectin mRNA, and ZAG enhances adiponectin production by human adipocytes. We suggest that ZAG is linked to obesity and obesity-related insulin resistance.

A:
Is the adipokine zinc-alpha2-glycoprotein ( ZAG ) downregulated with fat mass expansion in obesity?
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