Seasonal variation of plasma glucagon concentrations in men

Dependence of Seasonal Dynamics in Healthy People's Circulating Lipids and Carbohydrates on Regional Climate: Meta-Analysis

We analyzed the seasonal dynamics of lipid profile, glucose, and insulin in healthy subjects from 29 studies conducted in 23 regions, located in different climate zones ranging from subarctic to tropical. Our meta-analysis showed that people have higher the level of TC (total cholesterol), LDL (low-density lipoprotein), HDL (high-density lipoprotein), FBG (fasting blood glucose) in winter than in summer regardless of gender. Regional climate had a significant impact on the seasonal dynamics of lipid profile and glucose. TC, HDL, FBG seasonal fluctuations were more prominent in a climate that had a marked increase in average monthly atmospheric pressure in winter compared with summer as opposed to a climate where atmospheric pressure did not vary significantly in winter and summer. In a climate with humid winters, TC seasonal changes were significantly greater than in the regions with humid summers, most likely due to LDL seasonal changes, since HDL seasonal dynamics with peaks in winter were more prominent in the regions with humid summers. The level of triglycerides had prominent seasonal dynamics with peak values in winter only in the regions with a large difference in winter and summer air temperatures. The results of our current and prior meta-analysis allow for the conclusion that the seasonal dynamics of circulating lipids and glucose are frequently linked to the seasonal dynamics of thyroid-stimulating hormone and hematocrit. Dependence of the seasonal changes in the biochemical parameters on annual fluctuations in air temperature, atmospheric pressure and relative humidity is more obvious than on photoperiod changes.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12291-022-01064-6.

The relationship between ambient temperature and fasting plasma glucose, temperature-adjusted type 2 diabetes prevalence and control rate: a series of cross-sectional studies in Guangdong Province, China

Background

There existed evidence that type 2 diabetes mellitus (T2DM) prevalence and control rate have seasonal variation. Our study aimed to examine the ambient temperature and fasting plasma glucose (FPG) association and estimate temperature-adjusted T2DM prevalence and control rate.

Methods

Four cross-sectional health surveys with 26,350 respondents were conducted in Guangdong Province from 2007 to 2015. Multistage cluster sampling was used to recruit study participants. The data of demographic characteristics, lifestyle factors, diet and use of hypoglycemic medicine, height, weight, FPG and meteorological information were collected. And an inverse distance-weighted method was employed to estimate daily temperature exposures at the individual’ s residential district/county. Base on World Health Organization 2006 criteria, participants were divided into normal fasting glucose (NFG) participants (n = 23,877), known T2DM patients (n = 916) and newly detected T2DM patients (n = 1557). Generalized additive mixed model was employed to evaluate the nonlinear associations between temperature and FPG among different T2DM subgroups. The T2DM prevalence and control rate were estimated based on temperature-FPG association.

Results

The curves of temperature and FPG were downward parabola for total, NFG and known T2DM groups, while it was “U”-shaped for newly detected T2DM patients. When temperature decreased from 30 °C to 4 °C, the FPG significantly increased 0.24 (95%CI: 0.15, 0.33) mmol/L, 0.10 (95%CI: 0.06, 0.14) mmol/L and 1.34 (95%CI: 0.56, 2.12) mmol/L in total, NFG and known T2DM groups, respectively. Compared to 19 °C, newly detected T2DM patients’ FPGs were increased 0.73 (95%CI: 0.13, 1.30) mmol/L at 4 °C and 0.53 (0.00, 1.07) mmol/L at 30 °C. The model-estimated temperature-adjusted T2DM prevalence had a down and up trend, with 9.7% at 5 °C, 8.9% at 20 °C and 9.4% at 30 °C, respectively. At 5, 10, 15, 20, 25 and 30 °C, the model-estimated temperature-adjusted T2DM control rates were 33.2, 35.4, 38.2, 43.6, 49.1 and 55.2%.

Conclusion

Temperature was negatively associated with FPG for NFG and known T2DM subgroups, while their association was U-shape for newly detected T2DM patients. Hence, the temperature-adjusted T2DM prevalence show a dip/peak pattern and T2DM control rate display a rising trend when temperature increase. Our findings suggest temperature should be considered in T2DM clinic management and epidemiological survey.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11563-5.

Analysis of the effect of seasonal administration on the efficacy of sitagliptin: Subanalysis of the Januvia Multicenter Prospective Trial in Type 2 Diabetes Study

AIMS/INTRODUCTION

Hemoglobin A1c (HbA1c) levels in patients with type 2 diabetes mellitus fluctuate throughout the year. However, there are few studies that have evaluated the therapeutic effect of hypoglycemic agents while considering such fluctuations. In a multicenter study (Januvia Multicenter Prospective Trial in Type 2 Diabetes Study), pretreatment patients with type 2 diabetes mellitus were divided into seven groups and given sitagliptin for 1 year. The aim of the present study was to evaluate the differences in the therapeutic effect, and the efficacy of sitagliptin in patients with type 2 diabetes mellitus based on the month the administration of the drug began as a subanalysis of the Januvia Multicenter Prospective Trial in Type 2 Diabetes Study.

MATERIALS AND METHODS

Patients with type 2 diabetes mellitus were divided into four groups according to the month of initiation of sitagliptin. Changes in HbA1c in each group were compared at 3 and 12 months after administration of sitagliptin. As a negative correlation has been reported between baseline HbA1c and the degree of change after administration of sitagliptin, an analysis using the residual error from the approximate line was carried out.

RESULTS

In the analysis of the degree of change in HbA1c, patients in the group in which administration of sitagliptin was started between August and October had the lowest degree of improvement at 3 months after starting sitagliptin. However, there was no significant intergroup difference in improvement at 12 months after the start of sitagliptin. The same result was also obtained in residual analysis.

CONCLUSIONS

The present study suggested that the season of administration of sitagliptin influenced the subsequent hypoglycemic effect even after analysis excluding the influence of HbA1c value at the start of treatment. This study provides possibility, showing that seasonal fluctuations have an effect on the efficacy of antidiabetic drugs.

Seasonal variation in hospital encounters with hypoglycaemia and hyperglycaemia

AIM

To assess whether rates of hospital encounters with hypoglycaemia and hyperglycaemia display seasonal variation.

METHODS

Time series analyses of the monthly rates of hospital encounters (emergency room visits or inpatient admissions) with hypoglycaemia and hyperglycaemia from 2003 to 2012 using linked healthcare databases in Ontario, Canada.

RESULTS

Over the study period, there were 129 887 hypoglycaemia and 79 773 hyperglycaemia encounters. The characteristics of people at the time of their encounters were similar across the seasons in 2008 (median age 68 years for hypoglycaemia encounters and 53 years for hyperglycaemia encounters; 50% female; 90% with diabetes). We observed moderate seasonality in both types of encounters (R² autoregression coefficient 0.58 for hypoglycaemia; 0.59 for hyperglycaemia). The rate of hypoglycaemia encounters appeared to peak between April and June, when on average, there was an additional 49 encounters per month (0.36 encounters per 100 000 persons per month) compared with the other calendar months (5% increase). The rate of hyperglycaemia encounters appeared to peak in January, when on average, there was an additional 69 encounters per month (0.50 encounters per 100 000 persons per month) compared with the other calendar months (11% increase).

CONCLUSIONS

In our region, there is seasonal variation in the rate of hospital encounters with hypoglycaemia and hyperglycaemia. Our findings may help to highlight periods of vulnerability for people, may inform future epidemiological studies and may aid in the appropriate planning of healthcare resources.

The impact of ambient temperature on HbA1c in Taiwanese type 2 diabetic patients: The most vulnerable subgroup

BACKGROUND/PURPOSE

The relationship between temperature variability and HbA1c has been reported in Caucasians, but not for Asians of Taiwanese origin. This study investigated the impact of temperature on HbA1c in various groups of Taiwanese with type 2 diabetes in Taiwan.

METHODS

For this longitudinal follow-up study which started in 2006, we recruited a total of 4399 patients with type 2 diabetes who had been regularly followed up at Chi Mei Medical Center and obtained local temperature data for 2006 to 2011 from Taiwan's Central Weather Bureau. We used a generalized estimated equation (GEE) to analyze the HbA1c level and its change over time with temperature and temperature changes, respectively.

RESULTS

We found a negative correlation between HbA1c and temperature (R = -0.475, p = 0.001). For every 1°C decrement in temperature, there was an increase in the risk of having a HbA1c level >7% [p < 0.001, adjusted odds ratio (OR): 1.01]. There was a significantly higher risk of HbA1c > 7% among those in the lowest quartile of temperatures than the highest quartile (p = 0.0038, adjusted OR: 1.13). Patients with diabetic patients were at higher risk of HbA1C > 7% in the winter and spring than those in the summer (adjusted OR: 1.13, p = 0.0027; adjusted OR: 1.14, p = 0.0022). After adjusting for various confounders, we found people who were younger than 65 years old, people who had diabetes for longer than 6 years, and people who had a body mass index (BMI) < 24 to be more susceptible to temperature changes (p = 0.0022, β: 0.0095; p < 0.0001, β: 0.0125; p < 0.0001, β: 0.016, respectively).

CONCLUSION

Our study suggests cold weather may adversely affect HbA1c levels in Taiwanese people with type 2 diabetes, especially in people under 65 years old, people with diabetes for longer than 6 years, and those with a BMI < 24.

Geoenvironmental diabetology

Many reports have documented the negative health consequences that environmental stressors can have on patients with diabetes. Studies examining the interaction between the environment and a patient with diabetes can be unified under a single discipline termed "geoenvironmental diabetology." Geoenvironmental diabetology is defined more specifically as the study of how geophysical phenomena impact a patient with diabetes, to include effects on metabolic control, ancillary equipment (e.g., glucometers and insulin pumps), medications, supplies, access to care, and influences on the adaptive strategies employed by patients to care for their diabetes under extreme circumstances. Geological events such as natural disasters (e.g., earthquakes) or extreme weather (e.g., heat waves) are examples of stressors that can affect patients with diabetes and that can be included under the heading of geoenvironmental diabetology. As proposed here, geoenvironmental diabetology refers to how events in the physical world affect those with diagnosed diabetes, rather than how environmental factors might trigger development of disease. As the global prevalence of diabetes continues to increase, including in parts of the world that are especially vulnerable to disasters and climate change, further discussion is warranted on how to best prepare for management of diabetes under conditions of extreme geological and weather events and a changing climate. An overview is presented of various studies that have detailed how geoenvironmental phenomena can adversely affect patients with diabetes and concludes with a discussion of requirements for developing strategies for geoenvironmental diabetes management.

HbA(1c) levels in schoolchildren with type 1 diabetes are seasonally variable and dependent on weather conditions

AIMS/HYPOTHESIS

We evaluated seasonal HbA(1c) changes in children with type 1 diabetes and its relation with measures of weather conditions.

METHODS

HbA(1c) changes over more than 3 years were evaluated in type 1 diabetic patients who were younger than 18 years and had diabetes duration of more than 12 months, and correlated with measures of weather conditions (ambient temperature, hours of sunshine and solar irradiance). After comparison of autocorrelation patterns, patterns of metabolic control and meteorological data were evaluated using Spearman rank correlation.

RESULTS

A total of 3,935 HbA(1c) measurements in 589 school (≥ 7 years) and 88 preschool (<7 years) children were analysed. Mean (± SD) HbA(1c) level for the whole study period was 7.65 ± 1.12%. The lowest HbA(1c) levels were observed in late summer and the highest in winter months, with differences consistently exceeding 0.44%. Autocorrelation analysis of HbA(1c) levels in schoolchildren showed a sine-wave pattern with a cycle length of roughly 12 months, which mirrored changes in ambient temperature. Strong negative correlations of HbA(1c) with ambient temperature (R = -0.56; p = 0.0002), hours of sunshine (R= -0.52; p = 0.0007) and solar irradiance (R = -0.52; p = 0.0006) were present in schoolchildren, but not in preschoolers (p ≥ 0.29 for each correlation).

CONCLUSIONS/INTERPRETATION

Seasonal changes of HbA(1c) levels in schoolchildren with type 1 diabetes are a significant phenomenon and should be considered in patient education and diabetes management. They may potentially affect the results of clinical trials using HbA(1c) levels as their primary outcome, as well as HbA(1c)-based diagnosis of diabetes.

Seasonal fluctuations of glycated hemoglobin levels in Japanese diabetic patients

AIMS

We examined whether glycated hemoglobin (HbA(1C)) levels of Japanese diabetic patients showed seasonal fluctuations.

METHODS

Subjects included 2511 diabetic patients who regularly visited a single diabetic outpatient clinic for 10 years. A total of 253,477 HbA(1C) measurements, as well as sex, age, BMI, type of diabetes, and mode of therapy were extracted from a hospital-based database. For the cross-sectional and longitudinal analyses, average monthly HbA(1C) values of subjects and amplitudes of seasonal fluctuations were calculated. For the time-series analysis, seasonal adjustment factors of each subject were classified as complete, incomplete, or no fluctuation.

RESULTS

Subjects showed a clear seasonal fluctuation of HbA(1C) levels, with highest levels in March (7.69%) and lowest levels in August (7.46%; p<0.001). The amplitudes of the seasonal fluctuations were associated with the mean HbA(1C) levels. The time-series analysis showed that 78.3% of patients had complete or incomplete seasonal fluctuations. HbA(1C) levels were highest in winter-spring and lowest in summer-autumn in most patients; however, some patients showed a reverse pattern.

CONCLUSIONS

Seasonal fluctuations of HbA(1C) levels were recognized in most of the Japanese diabetic patients. Physiological or metabolic factors related to temperature may be the main cause of seasonal fluctuations in HbA(1C) levels.

Community-based study on summer-winter differences of component of metabolic syndrome in Kinmen, Taiwan

BACKGROUND

A community-based study was conducted to investigate summer-winter differences of component of metabolic syndrome in Kinmen, Taiwan.

METHODS

A total of 8251 residents aged 40 and over were enrolled in the mass survey in Kinmen. They were investigated while on summer (July and August) and winter vacation (January and February) during 2000-2003. Demographics, physical examination findings, lifestyle variables and biochemical data were collected.

RESULTS

After controlling for age, body mass index, diet, lifestyle and other risk factors for component of metabolic syndrome, there were independent and significant relationships between summer-winter difference and component of metabolic syndrome. Winter season was positively correlated with blood pressure, fasting plasma glucose level, high-density lipoprotein-cholesterol (HDL-C) and waist circumference, but was negatively associated with fasting triglycerides and metabolic syndrome.

CONCLUSIONS

Summer season is positively associated with hypertriglyceridemia, low HDL-C and metabolic syndrome. These findings imply that cross-sectional, experimental and cohort studies of component of metabolic syndrome or metabolic syndrome should take season into account as possible confounding effects.

Seasonal patterns in monthly hemoglobin A1c values

The purpose of this study was to investigate seasonal variations in population monthly hemoglobin A(1c) (A1c) values over 2 years (from October 1998 to September 2000) among US diabetic veterans. The study cohort included 285,705 veterans with 856,181 A1c tests. The authors calculated the monthly average A1c values for the overall population and for subpopulations defined by age, sex, race, insulin use, and climate regions. A1c values were higher in winter and lower in summer with a difference of 0.22. The proportion of A1c values greater than 9.0% followed a similar seasonal pattern that varied from 17.3% to 25.3%. Seasonal autoregressive models including trigonometric function terms were fit to the monthly average A1c values. There were significant seasonal effects; the seasonal variation was consistent across different subpopulations. Regions with colder winter temperatures had larger winter-summer contrasts than did those with warmer winter temperatures. The seasonal patterns followed trends similar to those of many physiologic markers, cardiovascular and other diabetes outcomes, and mortality. These findings have implications for health-care service research in quality-of-care assessment, epidemiologic studies investigating population trends and risk factors, and clinical trials or program evaluations of treatments or interventions.

Haematocrit: within-subject and seasonal variation

This review was undertaken, concerning within-subject biological variation and seasonal variation of haematocrit in normal healthy adults and athletes, to find the limits for natural, intra-individual variation in haematocrit values. The terminology and calculations followed well defined theories, from the field of laboratory medicine, about biological variation. Based on results from 12 studies of 638 normal healthy adults, and which used a sampling interval of 1 day to 1-2 months, the coefficient of within-subject biological variation of haematocrit is 3%. The normal within-subject biological variation (3%) and analytical variation (3%) may explain a relative change of approximately 12% (95% level) [e.g. a change from 0.42-0.47] between two successive haematocrit values, measured with a time interval between 1 day and 1-2 months, in a normal healthy adult. Partly due to haemodilution in warm weather, haematocrit often has a seasonal variation in normal healthy adults; based on results from 18 studies of 24 793 participants, the population mean is approximately 3% lower in summer than winter. Population mean values that are 7% lower in summer than winter have been found in some studies, although no seasonal effect may also be seen, especially in temperate climates. If haematocrit values are sampled at yearly peak and trough time points, with intervals of up to 6 months, a 15% relative change (95% level) can be seen in a normal healthy adult; e.g. a change from 0.42-0.48. Published values for haematocrit in athletes are scarce. It is known that the haematocrit value is influenced by training, especially in the first weeks before a new steady-state is reached. Theoretically, the biological variation in athletes could therefore be greater than in normal individuals. Based on two references addressing the biological variation of haematocrit in athletes, however, the above results are also valid for athletes. Further studies, both in the short term and throughout the seasons, are recommended about the natural variation of haematocrit in athletes.

No effect of light on basal glucagon levels in winter seasonal depressives and comparison subjects

We explored the effect of light therapy upon basal fasting plasma glucagon in 15 patients with winter depression vs. 15 comparison subjects before and after at least 1 week of light treatment. No differences were seen between groups or conditions. There was no correlation between glucagon change and antidepressant response.

Seasonal variation in the incidence of Type 1 diabetes mellitus during 1983 to 1992 in the countries around the Baltic Sea

AIM

To examine seasonal patterns of incidence of Type 1 diabetes mellitus incidence in children aged 0-14 years in Finland, Sweden, Estonia, Latvia and Lithuania during 1983-1992 (1987-1992 for Finland).

METHODS

The study used a method that models incidence data using combinations of sine waves to model seasonal variation around a possible linear trend.

RESULTS

In Finland, a significant pattern was found for combined sexes and age groups 0-9 and 10-14 years. A significant pattern was also confirmed for 10-14 year-old boys. In Sweden, the best model with significant pattern was found separately for boys and girls and age groups 0-9 and 10-14 years, however, a significant pattern was confirmed for older girls only. A seasonal pattern in older boys in Finland and girls in Sweden was characterized by two cycles with decreased incidence in June and November-December. The pattern among younger children (0-9 or 5-9 years) had one cycle with a decreased incidence in May-June. In Estonia, a significant pattern was found for the age group 0-14 years and combined sexes. No significant seasonal patterns were found in Latvia and Lithuania.

CONCLUSIONS

The seasonal pattern with two cycles among older children and one cycle only among younger children may indicate different triggers of Type 1 diabetes mellitus for different age groups.

Seasonality of presentation of type I diabetes mellitus in children. Scottish Study Group for the Care of Young Diabetics

Environmental influences are thought to have an aetiological role in onset of diabetes in children. Month of onset in over 2000 children in Scotland was established and there was an excess in colder/darker months than in warmer/lighter months. A meta-analysis of 21 previous studies with over 13,000 patients gave the same result at a much higher level of significance. A mechanism is postulated based on previous viral induced islet cell damage with ongoing progressive auto-immune destruction. There may be physiological seasonal changes with winter stress on carbohydrate and lipid metabolism. The raised winter levels of pituitary, adrenal and thyroid hormones fail to be antagonised by falling level of insulin. A role for seasonal variation in exercise and nutrition is considered.

A summer vacation from diabetes: evidence from a clinical trial

PURPOSE

This study examined the metabolic trend and factors associated with an unexpected rise in HbA1c levels during the summer, with a return to baseline when school resumed, in 40 intensively treated adolescents with type 1 diabetes.

METHODS

Psychosocial data were collected using a variety of diabetes evaluation instruments. HbA1c was measured monthly.

RESULTS

HbA1c values increased by a mean of .73% from May to July and decreased by a mean of .75% from August to October. Lack of consistency in summer routines compared with school days was associated with a worsening in metabolic control during the summer months. Other factors associated with the summer increase in HbA1c included lower guidance scores on the Diabetes Family Behavior Scale, and higher impact and worry scores on the Diabetes Quality of Life for Youth Scale.

CONCLUSIONS

Interviews suggested that teenagers need to take a vacation from intensive diabetes care during the summer.

Seasonal variation of haemoglobin A1 in children with insulin-dependent diabetes mellitus

The results of three controlled trials performed on children with insulin-dependent diabetes mellitus were examined for evidence of seasonal variation in concentrations of glycosylated haemoglobin (HbA1). All three studies showed lower levels during the summer months. Multiple regression analysis showed that the month of sampling accounted for a significant proportion of the total variance in HbA1 levels (P less than 0.001 in all three studies). We suggest that exercise, dietary changes and the frequency of minor illnesses may all contribute to this fluctuation which has important implications for the design of clinical trials in childhood diabetes.

Seasonal variations in haematological and biochemical parameters

Biochemical and haematological data obtained over five consecutive years are presented on the male workforce of a large chemical company. The data have been subjected to statistical analysis and quantify the influence of age and the month of the year in which the samples were taken. The red cell count, white cell count, serum gamma-glutamyl transferase, alanine transaminase and creatinine show significant and consistent seasonal variations. The previously published work on the influence of age on several indices is confirmed. Biochemical screening may be a method of detecting early signs of toxicity in man but such factors as age, sex and season must be taken into account when comparing the results obtained from exposed and non-exposed groups.

Haematological and biochemical parameters in an industrial workforce

Biochemical and haematological data for two consecutive years are presented on about 2000 people from the workforce of a large chemical company. The data are examined for the influence of sex, age, season, time of blood sampling, and patterns of work on the various indices. In addition to the results confirming previously published work relating to the effects of age and sex, they provide interesting new information on the possible influences of seasons and patterns of work, that is, whether the subjects were shift or day workers. Further studies on the influence of these various factors are required, and our on-going survey will perhaps provide more definite data in due course. The findings show the importance of quantifying these variables, particularly in an industrial workforce where minor changes may be of significance.

Effects of adrenal demedullation combined with chemical sympathectomy on cold-induced responses of endocrine pancreas in rats

Adrenal demedullation combined with chemical sympathectomy with 6-hydroxydopamine (ACS) lowered plasma glucagon and insulin levels in rats. Acute cold exposure increased plasma glucagon in both ACS and control rats, while it increased plasma insulin only in ACS rats. ACS rats responded to cold with a smaller increase in plasma glycerol and a more pronounced elevation of plasma free fatty acids.

Seasonal variation of maximal oxygen consumption rate in humans

The relationship of maximal oxygen uptake (VO2 max) and resting oxygen uptake in two seasons of the year (winter/summer) was investigated in 119 young males. The subjects were conscripts, who were investigated at the calling-up time (winter: n = 58). The two groups were comparable with respect to their anthropometric data and smoking habits, as well as their occupational and leisure time activities. VO2 max was significantly (p less than 0.01) higher in the subjects investigated in the summer time (3.35 1/min) compared with those in the winter time (3.12 1/min). There was no difference in resting VO2 expressed relatively to body weight, whereas the resting VO2 was significantly (p less than 0.05) higher in winter than in summer, when it was expressed relatively to lean body mass and body surface area. The results suggest that seasonal variation in maximal aerobic power may occur in young males; this may in turn affect their response to physical training.

Role of endocrine pancreas in temperature acclimation

Role of endocrine pancreas in temperature acclimation in rats was investigated. Plasma glucagon level increased and insulin level decreased in cold-acclimated rats (CA). The reverse was observed in heat-acclimated rats (HA). In the pancreas there were no changes in glucagon and insulin in CA, but a decrease in glucagon and an increase in insulin were found in HA. Plasma insulin/glucagon molar ratio (I/G) declined in CA and rose in HA. Pancreatic I/G rose in HA. Acute cold exposure elevated plasma glucagon, but did not effect plasma insulin. Pancreatic glucagon, insulin and I/G were not influenced by acute cold exposure, while plasma I/G decreased. Plasma I/G was inversely correlated with both blood free fatty acids and glucose levels. These results suggest that endocrine pancreas is closely associated with metabolic acclimation to cold and heat through its regulation of the metabolic direction to catabolic phase in cold acclimation and to anabolic phase in heat acclimation.

Seasonal variation in fasting plasma glucose levels in man

A Southern California community study of 4,541 men and women (aged 20-79 years) showed significant seasonal variation in fasting plasma glucose. There was a mean 0.6 mmol/l difference between highest levels in winter and lowest levels in spring. This difference was consistent over a two-year period, similar at all ages and seen in both men and women. Fasting plasma glucose levels correlated directly with percentage possible sunshine (p = 0.03) and inversely with temperature (p = 0.04). Adjustment for the level of measured obesity did not alter the observed association, but a history of recent weight gain corresponded to the season of maximum fasting plasma glucose level.

Modified metabolic responsiveness to glucagon in cold-acclimated and heat-acclimated rats

Calorigenic effect of glucagon on whole body oxygen consumption and interscapular brown adipose tissue (BAT) was investigated in unanesthetized and unrestrained warm controls (WC), cold-acclimated rats (CA) and heat-acclimated rats (HA). Glucagon produced significant elevation of oxygen consumption, body temperature and BAT temperature in all experimental groups. Such increased calorigenic responses to glucagon were significantly potentiated in CA and reduced in HA compared with those in WC. Thermogenic response of BAT to norepinephrine was also similar to that to glucagon; it was potentiated in CA, reduced in HA. These results indicate that glucagon would serve thermoregulatory nonshivering thermogenesis in temperature acclimation as calorigenic hormone, at least in part, through its action on BAT.