diff --git a/doc/source/whatsnew/v0.23.0.txt b/doc/source/whatsnew/v0.23.0.txt
index 4dde76dee46a5..3016b0490873b 100644
--- a/doc/source/whatsnew/v0.23.0.txt
+++ b/doc/source/whatsnew/v0.23.0.txt
@@ -431,6 +431,7 @@ Timezones
 - :func:`Timestamp.replace` will now handle Daylight Savings transitions gracefully (:issue:`18319`)
 - Bug in tz-aware :class:`DatetimeIndex` where addition/subtraction with a :class:`TimedeltaIndex` or array with ``dtype='timedelta64[ns]'`` was incorrect (:issue:`17558`)
 - Bug in :func:`DatetimeIndex.insert` where inserting ``NaT`` into a timezone-aware index incorrectly raised (:issue:`16357`)
+- Bug in the :class:`DataFrame` constructor, where tz-aware Datetimeindex and a given column name will result in an empty ``DataFrame`` (:issue:`19157`)
 
 Offsets
 ^^^^^^^
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index 847779b1747cf..7328cd336babf 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -512,7 +512,11 @@ def _get_axes(N, K, index=index, columns=columns):
             return _arrays_to_mgr([values], columns, index, columns,
                                   dtype=dtype)
         elif is_datetimetz(values):
-            return self._init_dict({0: values}, index, columns, dtype=dtype)
+            # GH19157
+            if columns is None:
+                columns = [0]
+            return _arrays_to_mgr([values], columns, index, columns,
+                                  dtype=dtype)
 
         # by definition an array here
         # the dtypes will be coerced to a single dtype
diff --git a/pandas/tests/frame/test_constructors.py b/pandas/tests/frame/test_constructors.py
index b7d3a60ecf6e4..8b57e96e6fa06 100644
--- a/pandas/tests/frame/test_constructors.py
+++ b/pandas/tests/frame/test_constructors.py
@@ -2092,3 +2092,14 @@ def test_frame_timeseries_to_records(self):
         result['index'].dtype == 'M8[ns]'
 
         result = df.to_records(index=False)
+
+    def test_frame_timeseries_column(self):
+        # GH19157
+        dr = date_range(start='20130101T10:00:00', periods=3, freq='T',
+                        tz='US/Eastern')
+        result = DataFrame(dr, columns=['timestamps'])
+        expected = DataFrame({'timestamps': [
+            Timestamp('20130101T10:00:00', tz='US/Eastern'),
+            Timestamp('20130101T10:01:00', tz='US/Eastern'),
+            Timestamp('20130101T10:02:00', tz='US/Eastern')]})
+        tm.assert_frame_equal(result, expected)